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Consumer Behavior - Science topic

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Impact of Sports SPonsorships on Consumer Behavior towards the Sponsosrs~?
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Basically, sports sponsorships increase the consumer awareness of the brand due to popularity of the events. It can also help brands build reputation and reconnect with target audience through values. For example, Red Bull is the sponsor of more than 800 athletes
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I’m particularly interested in AI-driven simulation tools that can predict or model consumer behavior, focusing on areas such as purchasing decisions, market segmentation, or consumer preferences. If anyone has recommendations or has worked with such tools (besides the Consumer Behavior Spectrum Model), I would love to hear your insights!
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Rapid Miner software provides many statistical methods, allowing you to analyze market basket by applying association rules mining, customer segmentation based on clustering algorithms....
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AI-powered IoT systems are revolutionizing how businesses approach international marketing and analyze consumer behavior. These systems collect real-time data from IoT devices like smart sensors and connected products, enabling companies to gain valuable insights into consumer preferences and market trends. AI then processes this data to identify patterns, predict future behavior, and optimize marketing strategies across different regions.
By integrating AI and IoT, companies can personalize their campaigns, target the right audience, and adjust their product offerings based on local consumer demands. This level of precision helps businesses make informed decisions and stay competitive in the global market.
As consumer behavior shifts, AI models continuously adapt, ensuring that marketing efforts remain effective and relevant. This approach not only improves customer engagement but also drives better ROI for international marketing efforts.
Follow me for the next update on cutting-edge AI-powered solutions shaping the future of global business! We, the Team Tech Wing, are actively working on IoT-driven blockchain solutions and are open to collaborations with like-minded innovators.
Regards
Kazi Redwan
Lead, Team Tech Wing
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Dear Kazi Redwan,
In my opinion, IoT systems based on artificial intelligence are a revolutionary tool in international marketing, enabling companies to efficiently collect and analyze data on consumer behavior in real time. For example, according to a report by Statista, the value of the IoT market will reach $1.5 trillion by 2030, which shows the enormous potential of the technology. Integration of AI and IoT allows personalization of marketing campaigns, which contributes to a 10-15% increase in conversions. By tailoring strategies to local preferences, companies can increase the efficiency of operations and get a better return on investment, as evidenced by the fact that 80% of marketers see a significant improvement in performance with such systems. In the face of a rapidly changing market, continuous adaptation of AI models is key, as evidenced by data showing that as many as 65% of consumers expect brands to adapt their offers based on their unique needs and preferences.
Generative artificial intelligence (AI) technology is significantly changing how companies approach international marketing and consumer behavior analysis. It enables personalization of marketing content, more effective data analysis and automation of market research. Examples such as Amazon and Canva show how AI increases customer engagement, improves the ROI of advertising campaigns and speeds up research processes. The use of tools such as chatbots and recommendation systems not only improves communication with customers, but also leads to increased satisfaction and conversions, as evidenced by concrete quantitative data.
The key issues of opportunities and threats to the development of artificial intelligence technologies are described in my article below:
OPPORTUNITIES AND THREATS TO THE DEVELOPMENT OF ARTIFICIAL INTELLIGENCE APPLICATIONS AND THE NEED FOR NORMATIVE REGULATION OF THIS DEVELOPMENT
I would like to invite you to join me in this research collaboration,
Best regards,
Dariusz Prokopowicz
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1. Scrutinise the applicability of established consumer behaviour and psychological theories pertaining to human subjects in the context of avatars within the Metaverse.
2. It will explore the hypothesis that the psychology driving human consumers may diverge when mediated through avatars, potentially altering decision-making processes.
3. As Metaverse retail environments increasingly deploy avatars as shopping assistants, this research will critically assess the implications for human resource management (HRM), positing a shift towards ‘avatar resource management’.
4. This investigation will rigorously evaluate the degree to which current models of consumer behaviour and HRM retain validity when transferred to the realm of avatars.
5. It will also consider the role that AR/VR technologies play in facilitating consumer decisions, drawing on recent studies (e.g., Qin et al., 2021).
6. The research will explore how much avatars and the Metaverse affect consumer choices, helping to develop a detailed understanding of the Metaverse.
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The impact of avatars on metaverse retailing and virtual engagement is significant, primarily because avatars serve as the primary interface between users and the virtual shopping environment. Here are some key insights:
  1. User-Avatar Relationship: The realism of avatars can greatly enhance the relationship users have with them, leading to increased engagement and intention to use the avatar. Studies show that more realistic avatars foster a stronger psychological connection, which can improve user satisfaction and shopping experiences​.
  2. Social Presence and Interaction: Avatars facilitate social interaction within the metaverse. When users can interact with others through avatars, it creates a sense of community and enhances the shopping experience. This social presence can encourage users to feel more comfortable exploring products and services, potentially leading to higher conversion rates​.
  3. Embarrassment and Consumer Behavior: The presence of avatars can influence feelings of embarrassment during purchases, especially for sensitive products. Avatars representing employees can either alleviate or exacerbate these feelings, depending on their approach to customer interactions. Empathetic employee avatars can create a more welcoming environment, reducing anxiety around embarrassing purchases.
  4. Market Opportunities: As brands and retailers experiment with the metaverse, they are beginning to understand the unique challenges and opportunities it presents. The integration of digital currencies and the creation of virtual stores will reshape how products are marketed and sold​.
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Hi,
I am a PhD student in Marketing Management, looking for a remote research assistant position or collaboration opportunities. I want to deepen my applied knowledge in Analysis of consumer behavior and explore its applications in various fields.
I am familiar with Digital marketing and KPIs Analysis but am also eager to learn how data mining is applied in areas such as consumer behavior, Customer clustering, and Retention Marketing.
If there are any available opportunities, I would love to contribute and expand my expertise.
If someone is willing to work on the topic, I will collect Data from Iran and he/she will collect his own country. Write an article, send a message and announce Email: Zarandi@ut.ac.ir
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Thank you for your complete and comprehensive advice
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I am undergoing a project work that is in marketing domain , understanding consumer behaviour . I have to do sentimental analysis for that I need tool so that i can use it on secondary data . I am using atlas.ti by now . I am in search of tool highly used by researchers for consumer behaviour basically for sentiment analysis , in order to extract meaningful information like factors that are influencing customers for adoption
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Aditya Kumar Singh To answer your question, I suggest an indirect approach.
Indirect approach, the researcher asks the participants to behave as naturally as possible and not have any obstacles for the research objectives.
The indirect method includes the following two techniques:
1) observation techniques
2) projective techniques
For example, in the projection technique, the goal is to discover the underlying motivations, beliefs, attitudes, or feelings about consumer behavior.
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"Study of Consumer Behaviour Towards Home Loans Offered by Home First Finance Company"
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I'm interested to do it.
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I am conducting a thesis on the impact of the 7th October attack and the BDS (Boycott, Divestment, Sanctions) Movement on consumer preferences, specifically examining the boycott of brands affiliated with Israel, such as Domino's, Pizza Hut, and McDonald's. My research aims to understand how these geopolitical events influence consumer behavior towards these brands. The variables I am considering include brand loyalty, to measure consumer allegiance before and after the events; purchase frequency, to track changes in buying habits; consumer awareness, to assess knowledge of the brands' affiliations; political affiliation, to understand the influence of political views on purchasing decisions; and media influence, to evaluate how media coverage affects consumer perceptions and behaviors. I would appreciate insights on any additional variables that could be relevant or suggestions to refine the variables mentioned to better capture changes in consumer behavior. Thank you for your assistance.
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The key variables that would be suitable for researching changes in consumer preferences post-7th October attack and the BDS movement's impact on brands like McDonald's (MCD) include:
1. Consumer spending patterns: Look at changes in overall consumer spending, as well as spending on specific product categories and brands like McDonald's before and after the 7th October attack. This could include metrics like sales volumes, revenue, and market share.
2. Brand perception and loyalty: Examine how the 7th October attack and BDS movement have affected consumer perceptions, attitudes, and loyalty towards brands like McDonald's. This could involve surveys, social media analysis, and tracking brand sentiment.
3. Demographic shifts: Analyze if certain consumer segments (e.g. age, income, location) have changed their preferences and purchasing behavior for brands like McDonald's in the aftermath of the 7th October attack and BDS movement.
4. Competitive landscape: Assess how the competitive dynamics have shifted, with consumers potentially favoring local or regional brands over multinational corporations like McDonald's in response to the 7th October attack and BDS movement.
5. Regulatory and policy changes: Identify any new laws, regulations, or government policies that may have impacted consumer preferences and the operating environment for brands like McDonald's following the 7th October attack and BDS movement.
6. Media and social influence: Examine how the media coverage and social media discourse around the 7th October attack and BDS movement have influenced consumer perceptions and behaviors towards brands like McDonald's.
By analyzing these key variables, researchers can gain a comprehensive understanding of the changes in consumer preferences and the BDS movement's impact on brands like McDonald's in the post-7th October attack environment.
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Hi,
I am a student in business school at the EU in Barcelona and as part of our marketing research class we are doing a report on social media online consumer behaviour. In order to conduct our research, we design a survey destined to professionals to understand and gather data on the impact of social media on online consumer behaviour.
If you want to help us, here is a survey:
Thank you for your consideration.
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Thank you for your answer, Edim Eka James your input is interesting and actually summarise the overall results of our survey.
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"Creative and Sustainable Initiatives to Combat Food Waste at the Consumption Stage"
This Special Issue on combatting food waste through responsible consumption aims to gather the latest results of the innovative research in this field. In particular, it seeks to investigate the complex relationship between consumer behavior and the reduction of food waste, highlighting the role of consumers in promoting more responsible consumption patterns.
Studies on innovative and effective educational and communication initiatives, technological innovations, policy interventions and collaborative efforts of members of the food supply chain are very welcome. Research that analyzes the reduction of food waste at the consumption stage, through the application of artificial intelligence methodologies, challenges and games, is also encouraged.
With its multidisciplinary perspective, this Special Issue aims to offer practical knowledge to the policymakers and researchers interested in creating solutions to the problem of food waste in the form of strategies that make consumers change their perception of the value of food, so that more responsible behavior is stimulated.
I encourage you to participate in this Sustainability - Special Issue before December 31, 2024.
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I have always felt that food waste should be curbed at the cooking stage.
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literature review on consumer Behaviour, focusing specifically on Generation Z and their shopping habits in india
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Hi, take a look at my google scholar profile. You will find some papers related to your area of research. Especially my papers recently published in Journal of Promotion Management, South Asian Journal of Marketing, and Journal of my marketing theory and practices are closely related to this theme.
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As Business administration marketing is a dynamic field constantly adapting to new technologies and consumer behaviors...
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The latest issues in the field of business administration marketing are the COMTEMPORARY issues that have to do with innovation and adaptation
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I am happy to share that I completed my review paper on the increasing use of marketing personalization and the benefits of it both for consumers and businesses. I looked it at from 5 different angles:
  1. The growth of marketing personalization use in the last 8 years
  2. How it impacts Consumer Loyalty?
  3. Is it effective in retaining consumers?
  4. How it impacts trust from consumers to businesses using marketing personalization?
  5. What's the relationship of referral marketing and marketing personalization?
I would really appreciate your feedback and learn about your stand on personalization.
Thanks, Delyan
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Personalization in marketing is like the cherry on top of a sundae – it makes everything sweeter. Think about it: when ads, emails, or product recommendations feel tailor-made for you, it's like the brand gets you, right? And that's what everyone wants – to feel understood. Plus, with all the data we're generating, companies can craft super-targeted campaigns that hit the mark. So, yeah, personalization is definitely the future of marketing. It's all about making every customer feel like a VIP.
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Dear all,
We are organizing a conference on technology and consumer behavior in Turku, Finland. The conference is free of charge for everyone: https://www.abo.fi/en/event/mos-2024-technology-consumer-behavior-conference/
Could you please suggest any ideas on how we could better promote it?
Regards,
Ilia
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Thank you all! Much appreciated!
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specific titles as follows:
Retargeted advertisements’ influential factors and fear of missing out on young peoples’ attitude
"Ads are chasing me!" : Applying the advertising value model and the theory of planned behaviour to retargeted advertisements
I have done my best to search for the original text /(ㄒoㄒ)/~~
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Hello Sun
I am happy to help 🤗
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Dear users, Our team is conducting a study on consumer baskets in different countries. We would appreciate your help in providing information about typical products, other expenses, and other aspects of consumer behavior in your country. Thank you for your participation in this study!
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You can check the CPI and Basket Effect in Sweden (January 2024) on the official cite of Statistics Sweden. The Basket Effect is in Swedish, but there is even an information 2017-2024.
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social media influence and social media marketing both are the almost same concepts.
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Zhang, K. Z., & Benyoucef, M. (2016). Consumer behavior in social commerce: A literature review. Decision support systems, 86, 95-108.‏
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Greetings everyone,
I am a first year PhD researcher in marketing, my theme revolves around digital marketing and consumer behavior and I am struggling to find, despite my readings, an interesting gap in the subject in order to work on it.
I would like to have your suggestions and tips in order to find an appropriate and interesting research gap !
Thanks in advance !
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This might be a good starting point for you - Towards a theoretical framework for augmented reality marketing: A means-end chain perspective on retailing - link -
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What do you think about this topic? Especially since the pandemic. 2020 and beyond. Of course, influencers are not some kind of new phenomenon. They have been around for years.
However, scrolling through tiktok at the beginning of the pandemic (2020+), you could only see tiktok trends, dances... and now more and more influencers are promoting various products, strengthening the brand and business processes of various companies.
What do you think the future holds for it? What impact do they have and what impact will they have in the future regarding consumer behaviour? What is your opinion on this matter?
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Influenser marketing is a powerful marketing promotion tool nowadays, especially with the target of younger generations.
If the company managed to find a right influenser(s) for its brand influenser marketing can be successful.
Thanks AI we got AI-created influensers now, when different brands cooperate with an AI-influenser what doesn't exist in reality, but generates content and promotes your brand to right TA.
The future has to be regulated as there are plenty of legal and ethical questions regarding influenser marketing.
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explain more on how culture will affect the consumer behavior, Brand perception, market expansion, messaging and communication, ethical considerations, and competitive advantage?. share references or citations if possible.
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Look at ma papers on national culture and its various impacts. There are a few.
The topic is definitely interesting and challenging. I will follow. Best wishes with your research. Mirna
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Hello,
I would like to pursue my PhD in marketing about the relation of AI and how it affects the consumer behavior & decision making. I would appreciate if you could suggest any topics.
Thanks,
Farnaz
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Manan Bhasin When you reprint content from AI as the answer to a question, you need to acknowledge that source, just as you would when you use a quote in any research context.
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I am currently a senior high school student, and I consider myself a beginner in this field. We are tasked to conduct a qualitative study about the effects of influencer marketing on purchase behavior. I am interested to know about purchase behavior for our research project in marketing. Is there any literature that may help? May I ask what is purchase behavior and how does it differ from consumer behavior?
Thank you in advance!
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Purchase behavior, often referred to as consumer buying behavior, is the process through which individuals or organizations make decisions to acquire products or services. It encompasses a complex interplay of psychological, social, and economic factors that influence the choices people make when buying goods or services.
At its core, purchase behavior is driven by the needs and desires of consumers. These needs can be functional, such as the need for food or shelter, or emotional, such as the desire for luxury or status. The process begins with problem recognition, where a consumer identifies a need or a problem that can be solved through a purchase.
Various factors shape purchase behavior, including personal factors like age, income, and lifestyle, which influence what products or services an individual is likely to consider. Social factors, such as culture, family, and reference groups, also play a significant role. Furthermore, psychological factors like perception, motivation, and attitudes contribute to the decision-making process.
Economic factors, such as price, income, and availability, are critical determinants in the final purchase choice. Marketers and businesses carefully study purchase behavior to understand their target audience and tailor marketing strategies and products accordingly. Ultimately, purchase behavior is a dynamic and multifaceted field that explores the intricate processes behind consumer decision-making and its impact on the market.
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To understand and discus new variable depends up on consumer behaviour in-deep
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* Think of it as a "market of one". The sum of such markets of one = the addressable market.
* The market (of one) demand is contextual, being influenced by episodic memory, working memory, Default Mode Network being ON or OFF, and so on.
* You would need tech capable of automating the processing of a) markets of one, and b) the individual context at the moment of "touch".
* You must ensure that all the algorithmic processing of individual demand is compliant with local laws and regulations.
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In consumer behavior field, is self-extension measurable and stable? I am curious about whether there is a scale to measure self-extension, and whether it could be manipulated. Thank you!
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Self-extension is a concept in consumer behavior that refers to the extension of one's self-concept onto products or brands. It suggests that individuals tend to choose products or brands that reflect their identity or self-concept.
Self-extension is measurable in research using a variety of methods. One common approach is to use self-report measures, such as surveys or questionnaires, to assess the degree to which individuals associate themselves with particular products or brands. For example, researchers may ask participants to rate how much they agree with statements like "I see myself as someone who uses [Brand X]" or "Using [Product Y] is an important part of who I am."
Another approach is to use experimental methods to manipulate the degree to which a product or brand is associated with the self, and then observe the effects on consumer behavior. For example, researchers may manipulate the degree to which a product is personalized or customized to the individual, and then assess whether this increases the likelihood of purchase or positive evaluations.
In terms of stability, self-extension can be considered relatively stable over time in some cases. For individuals who have strong and stable self-concepts, their self-extensions are likely to be consistent over time. However, for individuals who have more fluid or malleable self-concepts, their self-extensions may be more variable over time.
However, while self-extension is a complex and multifaceted construct, it is measurable in research using various methods and can be relatively stable in some contexts.
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I have made a study in the area of mobile advertising and my manuscript has around 15,000 words. I am trying hard to concise the word length but it is affecting the quality of my paper. Please recommend any good journal which has an impact factor above 2.0 and accepts articles up to 15,000 words.
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15,000 is too long for most journals. You basically need to cut it down to under 10,000. Many journals have an automatic reject based on excess word count. Superbly good & informative papers can do it under 10,000 so work on cutting. Good luck with it!
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Can artificial intelligence already predict our consumer behaviour and in a short while will it be able to predict which shop we will go to and what we will buy tomorrow?
With the help of artificial intelligence, how can systems for monitoring citizens' consumer behaviour based on GPS geolocalisation and information contained in smartphones be improved?
The lockdowns and national quarantines introduced during the coronavirus pandemic (Covid-19) caused a strong decline in sales and turnover generated in traditionally, physically functioning shops and service establishments. The lockdowns imposed on selected service industries and on traditionally operated trade also resulted in an acceleration of e-commerce, the sale of products and services conducted via the Internet. When the coronavirus pandemic was no longer interpreted in terms of high health and economic risk, a significant proportion of traditionally operated trade and physical service establishments also returned to traditionally operated business, customer service, product or service sales. On the other hand, emerging new ICT and Industry 4.0 solutions are being implemented and support the economic activities of companies, enterprises, service establishments and shops producing and/or offering their products or services in both traditional and Internet-based formats. when the pandemic was considered to be over and did not generate major risks for the economic activities of service establishments and shops, new ICT and Industry 4. 0, including artificial intelligence technologies, are being implemented in information systems to support the sales processes of product or service offerings, including improving tools for activating potential consumers, getting customers interested in new product or service offerings, and encouraging customers to visit stationary shops and service establishments. In this regard, startups have been rapidly developing over the past few years, which, using anonymous mobile user identifiers and accurate location and internet user data available in various applications installed on smartphones, are able to precisely locate where a smartphone user is at any given time and diagnose whether he or she is by chance making a purchase in a specific stationary shop, walking down the street passing by an establishment providing specific services and perhaps considering using those services. In a situation where a technology start-up has data on a specific Internet user downloaded from a number of different Internet applications and, on the basis of this data collected on Big Data Analytics information processing and analysis platforms, has drawn up information-rich characteristics of the interests and purchasing preferences of a kind of digital avatar equivalent to a specific Internet user, then, in combination with analysis of current customer behaviour and GPS-based geolocalisation, it is able to make real-time predictions about the subsequent behaviour and/or purchasing decisions of individual potential customers of specific product or service offerings. Some technology start-ups conducting this kind of analytics based on large sets of customer data and on geolocalisation, use of specific apps and social media available on the smartphone and knowledge of the psychology of consumer behaviour are first able to precisely locate consumers in real time with reference to specific shops, service establishments, etc. They are able to firstly locate consumers in real time and precisely identify specific shops, service providers, etc., and then display information on advertising banners appearing in specific applications on the smartphone about the current offer, including a price or other promotion for a specific product available for sale in the shop where the Internet user and potential customer is currently located. Thanks to this type of technological solutions, more and more often an Internet user available on a smartphone in a situation when he/she is in the vicinity, next to specific stands, shop shelves, specific shops in shopping centres, and is thinking about buying a specific product, then at that moment he/she receives information on the smartphone, an advertisement appears with information on a price or other promotion concerning that particular product or a similar, highly substitutable product. At the aforementioned point in time when the customer is in a specific shop or part of a shop, online advertisements are displayed on his or her smartphone, e.g. on social media, the Google ecosystem, third-party web browsers or other applications that the potential customer has installed on his or her smartphone.
When such technological solutions are complemented by artificial intelligence analysing the consumer behaviour of individual customers of different product and service offers, it is possible to create intelligent analytical systems capable of predicting who will visit a specific shop, when they will do so and what they plan to buy in that shop. Statistically, a citizen has several applications installed in his or her smartphone, which provide the technology-based analytical companies with data about their current location. Therefore, thanks to the use of artificial intelligence, it may not be long before Internet users receive messages, see online advertisements displayed on their smartphones showing the products and services they are about to buy or think about tomorrow. Perhaps the artificial intelligence involved in this kind of analytics is already capable of predicting our consumer behaviour in real time and will soon be able to predict which shop we will go to and what we will buy tomorrow.
In view of the above, I would like to address the following question to the esteemed community of scientists and researchers:
With the help of artificial intelligence, how can monitoring systems for citizens' consumer behaviour based on GPS geolocation and information contained in smartphones be improved?
Can artificial intelligence already predict our consumer behaviour and in a few moments will it be able to predict which shop we will go to and what we will buy tomorrow?
Can artificial intelligence already predict our consumer behaviour?
What do you think about this topic?
What is your opinion on this subject?
Please answer,
I invite you all to discuss,
The above text is entirely my own work written by me on the basis of my research.
I have not used other sources or automatic text generation systems such as ChatGPT in writing this text.
Copyright by Dariusz Prokopowicz
Thank you very much,
Best regards,
Dariusz Prokopowicz
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Hi there,
I wanted to know what went wrong with this research paper. I worked with my professor on a paper for our course: Consumer Behaviour. But it faced a rejection. I wanted to know why it was rejected, so that I can improve my chances of publishing a paper in the future, since this would help me in securing a PhD admission as well. I would really appreciate it if someone can help me review this. I have attached the paper and the questionnaire.
Any help would be appreciated. I would help out as well in any way possible to the person helping me.
Questionnaire:
Regards,
Ehtesham
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You need to ask the journal why. You could try another one :)
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What are few emerging research areas?
What need to be explored in this area?
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E waste and E commerce
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Hello
I am a new researcher in the fourth year of my PhD. I would like to know what career prospects we have after phD.
Skills: Qualitative research, Quantitative research.
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After completing a PHD, it is highly likely that one would end up as an Academic at a Higher Education or Research Institution. This can include Lecturer, Researcher, Mentoring etc. However there can be opportunities in Industry as well such as working in the Research and Development department, Consulting, Analyst, and any role that involves critical thinking. Seniority in positions will increase based on experience.
Also, immediately after completing PHD some students opt for what is known as a 'Post Doc' contract either at their university or another. This allows for them to gain academic experience whilst also being paid a salary.
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Understanding and predicting the complex or chaotic behaviors of complex and nonlinear systems is very interesting and challenging, especially when we deal with it in practical systems, like smart city or energy systems It turns out that complexity and chaos theories may provide us with a framework to explore these. Complexity in energy systems involve multiple factors, such as weather changes, unseen failures, demand, energy prices, and consumer behavior, which can exhibit unforeseen behaviors like emergence that are difficult to predict.
What is your opinion on the link between Complexity and Chaos Theories, and energy systems, which concerns the following questions:
  • Can complexity and chaos theories be used to better understand and predict the behavior of energy systems?
  • What challenges and limitations do we face when applying complexity and chaos theories to energy systems?
Recent studies have explored the use of computational techniques, such as machine learning and entropy-based information theoretical methods, to analyze complex systems and identify chaotic behavior. For example, one study proposed using complex system characteristics as features for time series data to identify chaotic behavior, achieving high precision on test data [1]. Another study explored the use of deep learning methods for classifying chaotic time series, achieving an impressive accuracy of 99.45 percent on unseen samples [2]. A third study utilized entropy-based methods to develop an effective approach for classifying time-series data [3].
Join us in this discussion and share your thoughts on how we can use complexity and chaos theories, as well as and other computational techniques to better understand and predict the behavior of complex systems in energy systems, and the like. Let's explore the potential of these methods and discuss the challenges and limitations we face in applying them to real-world energy systems.
References:
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Picture belongs to Ref. 3 of the Discussion.
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Hello everyone,
I am currently doing research on the impact of online reviews on consumer behavior. Unfortunately, statistics are not my strong point, and I have to test three hypotheses.
The hypotheses are as follows: H1: There is a connection between the level of reading online reviews and the formation of impulsive buying behavior in women.
H2: There is a relationship between the age of the respondents and susceptibility to the influence of online reviews when making a purchase decision.
H3: There is a relationship between respondents' income level and attitudes that online reviews strengthen the desire to buy.
Questions related to age, level of income and level of reading online reviews were set as ranks (e.g. 18-25 years; 26-35 years...; 1000-2000 Eur; 2001-3000 Eur; every day; once a week; once a month etc.), and the questions measuring attitudes and impulsive behavior were formed in the form of a Likert scale.
What statistical method should be used to test these hypotheses?
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Go with the test of association (chi-square test )
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Hello everyone.
I'm conducting a research in which I have pre-test and post-test data. First, I measured the number of subscribers of a service in the first period (pre-test). Second, I measured the number of subscribers of the same service in a second period (post-test). Between the pre-test and the post-test, consumers were shown a stimulus that could have changed their intention of being subscribers of the service. I used 2 types of stimulus, one about time (week and month) and the other about the method (method 1 and method 2). I have also the pre-test and post-test of the number of users who use the service but are not the owners of the subscription.
I have performed a McNemar test to compare if there are differences between the number of subscribers before and after each type of stimulus. That is, one McNemar test to measure differences in weekly time pressure, one for monthly pressure, and two more: one for method 1 and one for method 2. For all of them, I have significant results.
I have also calculated the percentages of decrease in the number of subscribers for each stimulus. For example, by pressing weekly the number of subscribers drops by 7%. In the case of users who use the service but are not the owners of the subscription the decrese is 54%. I intend to define which stimulus produces a greater decrease and in which type of users.
I think that maybe this analysis is poor for academic research, and I want also to compare the percentages of decrease in subscriptions with the percentage of decrease of users that use the service but aren't the owner of the suscription for each type of stimulus.
Can you please recommend me another type of analysis?
Maybe some analysis to measure if there are differences when doing a weekly and monthly pressure (or method 1 and method 2) between subscribers and users who use the service but are not the owners of the subscription. I mean using the two groups of users, the two times pressures or the two methods pressures, and the pretest and posttest.
Thank you very much.
Diana
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Shezan Ahmed, I have one question:
Can I use two-way ANOVA when I have a binary (dummy) outcome? I can't find any example of ANOVA with a binary dependent variable.
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I was suggested to think of consumer behavior/psychology and tasting/consumption experience of some food in diferent national cuisine.
May I get some detailed directions or case studies on this subject?
Thanks
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The questions depend on biological variables such as age, gender, family size, as well as the national wealth of fish and animals, as well as agriculture and the types of plants that characterize countries.
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what is really the influence of big data on corporate decision-making to understand consumer behaviour??
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Read the following attachment
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I want to assess the impact of treatment (advertisement) on consumer behavior. What could be the most suitable experimental design here? Shall a single group pretest - posttest suffice?
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It’s premature to ask design questions before formulating your research questions and aims. Your research question(s) and aims should drive your efforts. This might shed some light on why: https://rdcu.be/c0iE6
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What is the level of importance of analyzing current public sentiment and shaping citizens' awareness through political marketing and government-controlled media in the context of economic policy pursued?
Can an economic policy conducted mainly on the basis of analyzing current public sentiment and shaping citizens' awareness through information campaigns implemented by government-controlled meanstream media and through activities carried out as part of political marketing be realistically pro-social in strategic, multi-year terms?
According to the saying "the glass is half full or half empty", the description of certain economic processes in the government-controlled media as part of the pro-government information policy is presented in a certain way according to the needs arising from the goals of political marketing. Besides, according to the proverb and the question at the same time: "what comes first the egg or the chicken?" then the following research question can be formulated: Is it first the sluggish economic growth, the downturn in the economy within the framework of business cycles that generates the demand for the development of new strategies for the country's socio-economic development, within which certain interventionist anti-crisis instruments for stimulating economic growth are applied, including, first and foremost, the instruments of soft fiscal policy and dovish monetary policy? Or is it rather the reverse order, i.e., first a specific anti-crisis and/or pro-development, expansionary, pro-investment economic policy is applied and then a recovery in the economy occurs and sometimes an economic crisis also occurs, triggered by a misapplied, specific socio-economic development strategy of the country? Or do one and the other formula of the aforementioned causal sequences also work only alternately, i.e. usually in other periods, other consecutive years, phases of business cycles? In conducting discussions and debates on this issue, there may be different opinions, different theses and claims formulated by economists representing different camps of views on specific areas of economic policy and the legitimacy of the application and effectiveness of specific, individual instruments of fiscal, sectoral, social, etc. policies conducted by the government, as well as monetary policy conducted by the central bank. An election cycle of several years may be correlated with the country's socio-economic development strategy, anti-crisis and pro-development policies planned for several years, and perhaps also with the business cycle of several years of changes in the rate of economic growth, etc. The issue of the interventionist application of anti-crisis and pro-development economic policy instruments based on the Keynsian model of stimulating the economy through new state-funded investment and/or Milton Friedman's monetarist model proved particularly relevant during the various economic crises that occurred in the past. However, when, instead of new investments, most of the funds within the state's public finances are used for current purposes, social programs with increasing levels of debt in the system of state finances then this kind of economic policy in a few years' perspective can, after a short period of recovery of economic processes, lead to an even deeper crisis. In addition, when many new government programs of subsidies, benefits, subsidies, pensions, etc. are financed with printed money without coverage the result can be an increase in inflation and then a recession in the economy. Such a situation is currently occurring in some countries resulting in a significant decline in economic growth and an increase in unemployment in 2023. The change in public sentiment, levels of spending, consumption and labor force participation may also be influenced by citizens' awareness of the situation in the economy shaped by economic news reported in the meanstream media, which may be controlled by the government pursuing a specific economic policy and a specific information policy through political marketing and pro-government propaganda in the media. The psychology of citizens' consumer behavior influencing the decisions of entrepreneurs to change the scale of their business activities may change under the influence of government information policy shaped in the media. Analysis of current public sentiment is carried out on behalf of government agencies and the Prime Minister's Office usually through surveys and analysis of the sentiment of citizens' opinions expressed on various topics on social media websites and various discussion forums, and analyzed using analytics based on ICT information technology and Big Data Analytcs.
In view of the above, I address the following question to the esteemed community of researchers and scientists:
Can economic policy conducted mainly on the basis of analysis of current public sentiment and the formation of citizens' awareness through information campaigns implemented by government-controlled meanstream media and through activities carried out as part of political marketing be realistically pro-social in strategic, long-term terms?
What is the level of importance of analyzing current public sentiment and shaping citizen awareness through political marketing and government-controlled media in the context of economic policy?
And what is your opinion on this subject?
What do you think about this topic?
Please answer,
I invite everyone to join the discussion,
Thank you very much,
Warm regards,
Dariusz Prokopowicz
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Ideally, in a politically free society with a free enterprise economy, the societal economic/freedom needs are expressed at both the ballot box and in the marketplace.  I agree with @Stephen Ternyik that all resources -- human and material -- need be combined optimally to meet Society's needs.
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Hello people
I am studying business psychology and will be investigating the difference in advertising effectives between social media ads and analog billboard advertising as part of an a project in my university.
Unfortunately, I am having a hard time finding current research and literature on this topic and would be extremely grateful if someone could recommend some good literature.
Thank you very much.
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Hi,
I am a Hospitality PHD student, and recently I am conducting some research using the concept of "objective knowledge". After searching the literature, I found some researchers use self-developed quiz questions to measure "objective knowledge". Personally, I feel not good. I just wonder, if we have to use self-developed quiz questions to measure, is there any way that we can justify it or evaluate the validation, as most studies fail to do that, even those published on top tier journals
Thanks
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Wei is asking about how to measure the construct "objective knowledge", he is not talking about satisfaction.
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I am currently doing some research exploring the impact of Junk Food marketing on the consumer behaviour of children and parents using both surveys and observation - thus qualitative and quantitative- what would my philosophy be
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My answer is to an extent the same as David Morgan's. But let me understand what you mean by your 'philosophy'.
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Have you changed your purchasing practices as a result of rising inflation?
Inflation has been rising in many countries since 2021. In recent months, inflation has already been running at double-digit levels in many countries.
The prices of fuel, energy, food, building materials, tourism services, ... are rising.
Have you changed your purchasing practices as a result of rising inflation?
Has rising inflation reduced your level of consumption or is it irrelevant in this regard?
What is your opinion on this topic?
Please reply,
I invite you all to discuss,
Thank you very much,
Regards,
Dariusz Prokopowicz
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In dealing with high cost of energy, the government of Indonesia increases subsidy. On the other hand, the central bank keeps the policy rate unchanged. Accordingly, the impact of the high cost of energy is dampened. The people may keep their consumption as before. However, this fiscal and monetary policy may need to be adjusted soon. The government runs out of money needed for more energy subsidy. The inflationary pressure may require higher rate. When the time comes, consumption may be affected.
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Population dynamics is usually linked to system stability. For example, over population is linked to system unsustainability, and possible system collapse through overshooting behavior like ecological overshoot. Population dynamics is rarely linked to market pricing structures as markets are usually presented as supply and demand interactions consistent with their price structures. But market price structures can be seen as linked to the nature of the population they serve. Hence, population dynamics appears to be the connection between market price structure and system stability.
And this raises the question, Is population dynamics the link between market pricing and system stability? I think yes, what do you think?
Please, feel free to share your comments, Yes and why you think is Yes or No, and why you think is No.
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Dariusz, the way you try to share your material is not helpful for sharing ideas ...you say Yes, In will leave it there.
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Hi there,
I'm currently working on a research paper which I intend to get published in Elsevier or any other high impact research journal. I will be using PLS, CFA and reliability tests. For visualization I will be using visualization libraries in R and Python. I know how to use PowerBI as well. I'm looking for an experienced co-author to work with and learn from. I'm currently pursuing a MS Marketing program in the University of Management and Technology. I can share my model and questionnaire as well. It's a work in progress at the moment. Looking forward to collaboration!
Regards,
Syed Muhammad Ehtesham Ali
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Hi Syed, if you decide to contact them & they are interested, you can email me deborah.hilton@gmail.com maybe I can help with analysis in Excel or reviewing questionnaire, but they maybe too busy with their orders etc. Kind Regards.
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Dear Researchers.
I hope 2021 has been a good research year for you.
2022 is almost here.
Is anyone interested in collaborating on any of the broad topics below in 2022?
1. Consumer Behavior
2. Information and Communication technologies
3. Business Management
4. Marketing
5. Psychology
6. Health and Environment
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entrepreneurship emprendedorismo
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Dear experts in consumer behavior field,
I would like to request an hour of your time to interview you about the research I’m conducting into model presentation for luxury consumption of organic food. I’m completing my PHD's dissertation in marketing, and for qualitative part of it I would like to reference you as the experts in this field. I would be glad that you accept this interview and assist me in this research. It will be my pleasure to be informed of your views in this regard.
Sincerely yours, Sajedeh
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yes I m interested
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Hello everyone,
I am conducting a research in which I have data on the purchase of 4 brands of some consumers in a first period of time (pretest). But I also have the data for the purchase of those 4 brands and the option to stop buying the product, in a second period of time (post-test). Between the pretest and the posttest, consumers were shown a stimulus that could have changed their purchase intention.
So, I have a nominal variable with 4 categories (one per brand), a nominal variable with 5 categories (the brands and the option to stop using the product), a nominal variable with the 4 stimuli, and other continuous variables (like age).
I make a drawing to represent the relationships between the pretest and post-test. Therefore, I have 5 flows for each brand in the pretest (20 in total) that relate to the brands in the posttest.
I would like to know what test I can use to determine if the flow of customers from brand 1 who go on to buy brand 2 is significant. That is, it is higher or lower than theoretically expected. I want to be able to apply this test to all relationships.
I also want to know what model I could use that includes all the relationships and the other explanatory variables (the stimuli, age, etc.). Then I can determine what variables influence these changes.
Thank you very much.
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I'm going to try with your recommendations.
Thank you very much David Morse and Daniel Wright
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Dears, my study focuses on consumers behavior effect on financial wellness of the consumers. Towards that end I will use a financial well index data, the dependent variable, and a questionnaire, Likert Scale, for measuring the independent variable. What kind of statistics technique is appropriate? Thanks
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Thank you, sir
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I wrote a book review for a journal that no longer publishes book reviews. Any insights for helping me find another publication would be greatly appreciated! It is in the area of consumer behavior or consumer insights, if that helps to know. Thank you!
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You can try lambert academic publishing, germany
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I need to answer this question to evaluate and submit our work for research
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There are different kinds of reseach on how brand elements can influence consumer behaviour. Brand co,,unities, brand image, brand awareness, brand reoutation etc.
Maybe these research will help:
Bairrada, C.M., Coelho, A. and Lizanets, V. (2019), "The impact of brand personality on consumer behavior: the role of brand love", Journal of Fashion Marketing and Management, Vol. 23 No. 1, pp. 30-47. https://doi.org/10.1108/JFMM-07-2018-0091
Chu, S-C, Chen, H-T. Impact of consumers' corporate social responsibility-related activities in social media on brand attitude, electronic word-of-mouth intention, and purchase intention: A study of Chinese consumer behavior. J Consumer Behav. 2019; 18: 453– 462. https://doi.org/10.1002/cb.1784
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I want to publish a paper on consumer behavior based on this survey. So I want to be sure that there won't be any problems because of my translation. My English level is okay, but I thought maybe some specific steps would be required regarding the translation.
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Stephen Joy , back-translating, Good thought, I actually do that maybe whit out thinking of it this way with 2 persons.. But as a none native English, I "crossfire" it so to speak in language translating programs. First Swedish into English and back again from English to Swedish. (some tímes even over again) to check if the context remains or changes. It gives one a great input in nuances within the language. I.e., like differences in using therefore versus therefor or even there-fore.
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The popularity and applications of the metaverse are expected to skyrocket in the near future, thanks to the entry of major players (Facebook, Microsoft, EA, and even McDonalds) in the industry. As ab opinion piece in The Drum puts it "many experts predict that the metaverse will change the way we live and work in the future, and it would be extremely negligent not to recognize the trend and continue to engage with it". Could someone suggest some preliminary studies that could be carried out using consumer data collected through online surveys? Thanks in advance.
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You can publish your academic articles in the Journal of Metaverse. It is a great opportunity. It is open-access, fully free and international double-blind peer-reviewed. You can visit the journal on https://dergipark.org.tr/en/pub/jmv
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So for the project, we conducted a survey through google forms in which we asked them their spending in online shopping pre covid and post covid. The income was asked in intervals that are up to 1000, 1000-3000, 3000-7000, etc.
Can you suggest to me a method to analyze the same?
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You can conduct a paired-sample t-test using SPSS
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Dear Respondent,
I am inviting you to participate in research conducted for academic purposes to investigate the relationship between animosity and consumer perceptions. Included with this letter, there is a short scenario. After reading the scenario, please answer the questions. The results of this pretest will be used for a PhD dissertation, so the cumulative responses of the sample are important for the results rather than individual ones. Therefore, there is no need to give your name. There is no risk for you in participating and you can be assured that your responses will be confidential. The survey should take you about 5 minutes to complete. Participation is entirely voluntary. Thank you very much in advance.
Sincerely.
Muhammad Taqi - PhD candidate
Department of Business Administration
Izmir University of Economics
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I am done answering your survey.
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Hello everyone,
I am conducting research around supply chain delays and consumer behaviour I was wondering if anyone could give any academic theory that should be included in a literature review or any related theory or previous research that under pin these area ideas.
any ideas or tips on completing a literature review and this type of dissertation research would be beneficial and much appreciated thank you
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Please refer to the below articles-
Hobbs, J. E. (2020). Food supply chains during the COVID‐19 pandemic. Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, 68(2), 171-176.
Ivanov, D., & Dolgui, A. (2020). A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0. Production Planning & Control, 1-14.
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Hi everyone,
I am experiencing trouble on measuring correlation on my dissertation study.
In two questions, I have asked my respondents "How many times have you been to ..." and "How familiar are you with the music at ...".
I am trying to establish the relationship between those who have frequented a store most often and if they are the same people who expressed their high familiarity with the music. They are the same group of respondents. Will a one-sample T test on SPSS be sufficient to test this relationship?
Hope to get all of your expertise on this!!
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Assuming your two questions yield categorical data on the same respondents, you could go for Pearson Chi-Square. You might check out the following for insights into carrying out Pearson Chi-Square on SPSS.
Lund Research Ltd. (2018). Chi-Square test for association using SPSS statistics. SPSS Statistics Tutorials and Statistical Guides | Laerd Statistics. https://statistics.laerd.com/spss-tutorials/chi-square-test-for-association-using-spss-statistics.php
Good luck,
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Except for some early protectionist behaviour by some countries and the consumer panic buying in the early days of the pandemic, global food supply chains have demonstrated remarkable resilience during this whole time. Currently, there are no global food shortages. In fact, the prices did fall slightly at one point. During the 2007-08 economic crisis, however, food prices were severely disrupted. Please share your thoughts on how this occurred and whether global food supply chains have become more sophisticated. Also, what are the implications for "local foods" in the pandemic?
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Also check..
Development of the Organic Food Market in Romania during the...
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E-commerce has transformed the way we buy things and created jobs for millions of people, among other benefits. However, I have personally observed a significant amount of waste associated with online shopping in the form of unnecessary plastic packaging, a large amount of wrapping to deliver hot meals, and a variety of other things. Delivery is handled by integrated logistic companies in some countries, such as CaiNiao in China. One of the main aims of the logistics industry is to reduce logistic costs in order to keep prices competitive. In that case, how can they be persuaded to adopt sustainable (reusable) packaging and other similar solutions? Please share your ideas for resolving this issue.
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Hot foods ordered have to travel quite some distances, and often take quite some time, especially during evenings, when there could well be huge and long traffic queues, which add delays in delivery. The foods should arrive hot enough to go from the delivery door to a plate on the table. The wrappings should take into account delayed deliveries... so what is your solution?
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AI and Big Data have recently seen widespread application in virtually every field. With the economy's increasing digitization, it is expected that massive amounts of data will be generated at every node. I wonder if primary data based research in consumer behavior, economics, agricultural economics, and related fields will become obsolete in the future as more sophisticated models aided by AI and Big Data provide a more accurate picture of various phenomena. Please share your thoughts on what will be the role of researchers in applied economics, business, and marketing etc (not including those in the fields of computer science).
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Whereas, Big data tends to answer the What, Who, Where, When and How Much questions. In contrast, to amplify the point made by James, there is no substitute for understanding how and why things are happening. Qualitative data methods have already become more important as we seek to explain the patterns that emerge from all the big data analytics ... and to understand their implications
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Dear Respondent, I am inviting you to participate in research conducted for academic purposes to investigate the relationship between animosity and consumer perceptions. Included with this letter, there is a short scenario. After reading the scenario, please answer the questions. The results of this pretest will be used for a Ph.D. dissertation, so the cumulative responses of the sample are important for the results rather than individual ones. Therefore, there is no need to give your name. There is no risk for you in participating and you can be assured that your responses will be confidential. The survey should take you about 15-20 minutes to complete. Participation is entirely voluntary. Thank you very much in advance. Survey Link: https://forms.gle/pMTeM7WRm12YT7Bz8
Sincerely. Muhammad Taqi Ph.D. Candidate Department of Business Administration Izmir University of Economics
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Done
Ph.D. Research Survey
Your response has been recorded.
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Dear Respondent, I am inviting you to participate in research conducted for academic purposes to investigate the relationship between animosity and consumer perceptions. Included with this letter, there is a short scenario. After reading the scenario, please answer the questions. The results of this pretest will be used for a Ph.D. dissertation, so the cumulative responses of the sample are important for the results rather than individual ones. Therefore, there is no need to give your name. There is no risk for you in participating and you can be assured that your responses will be confidential. The survey should take you about 15-20 minutes to complete. Participation is entirely voluntary. Thank you very much in advance. Survey Link: https://forms.gle/kytRVFgfF21Huja4A
Sincerely. Muhammad Taqi Ph.D. Candidate Department of Business Administration Izmir University of Economics
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Done
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Which method can be used to analyze daily panel data in combination with annual survey data (on income, attitudes towards organic products and so on)? The method should also be able to measure changes over time (e.g., in attitudes toward organic products and actual purchases of organic products).
Possible research question: How do consumer attitudes (annual measrured by asking the consumers once a year) and actual purchasing behavior (daily measured) change over a long period of time?
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Dear Phillipp,
I will recommend ARMA and VERMA @Guy Melard since he has worked in that area.
Then you will need a focasting model to answer the questions for the future.
Regards
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I want to pursue research in the field of consumer behavior with digital marketing involved in it.
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Hi Pradeep Baxla Below you will find a few ideas:
social media marketing (for example customers behaviour on facebook/Instagram/LinkedIn or in terms of paid ads),
which and/or how many distribution/communication channels (online/ofline) should an company use to influence customers behavior to optimize sales or profit?
how do customers react on 'endless' shelfs in online enviroments? How to present these 'endless' shelfs? when cutomers abort the purchase? How to influence this?
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Dear Respondent, I am inviting you to participate in research conducted for academic purposes to investigate the relationship between animosity and consumer perceptions. Included with this letter, there is a short scenario. After reading the scenario, please answer the questions. The results of this pretest will be used for a PhD dissertation, so the cumulative responses of the sample are important for the results rather than individual ones. Therefore, there is no need to give your name. There is no risk for you in participating and you can be assured that your responses will be confidential. The survey should take you about 5 minutes to complete. Participation is entirely voluntary. Thank you very much in advance.
Sincerely. Muhammad Taqi PhD candidate Department of Business Administration Izmir University of Economics
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That's Great
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In the second half of the twentieth century, new neoclassical trends dominated in the history of economic thought, partly referring to the foundations of classical economics.
However, at the end of the twentieth century and in recent years, various concepts that complement or partly undermine certain assumptions of neoclassical economics are developing dynamically.
These are primarily theories based on conducted studies on behavioral consumer behavior in consumer goods markets, investors and shareholders in the capital markets, entrepreneurs in the markets of capital goods, etc.
These various theories supported by the results of research are in the mainstream of behavioral economics.
However, despite the ongoing development of behavioral economics, neoclassical economics still dominates in academic textbooks dedicated to students of economics.
Neoclassical economics is based on the fundamental assumption that people make rational economic decisions.
Advocates of the neoclassical economics suggest that the theory of neoclassical economics correlates with the key assumptions of psychology regarding rational human behavior.
I agree with this correlation that irrational decisions only apply to situations in which people feel very strong emotions of both negative nature, such as anger, hostility, hatred or positive emotions associated with feeling of love, friendship or belonging to a given social group.
On the other hand, economic decisions are always made rationally according to classical and neoclassical economics.
However, in recent years, on the basis of the development of behavioral economics, there are more and more data and results of research carried out, that unfortunately there are many examples suggesting the irrationality of some economic decisions.
Often, consumers make unnecessary purchases based on an efficiently carried out advertising campaign for products or services.
Perhaps consumers are more and more often susceptible to the impact of effective advertising campaigns, in addition to traditional media, also in new online media, including on social media portals, where viral marketing is widely used.
Often in advertising campaigns, specific products and services are presented as unique, innovative or having such features as opposed to the substitutional offer of competition.
The message that is not always formulated in the advertising campaign is truthful, but some consumers may receive such a message as objective and this translates into an increase in the sale of a specific, effectively advertised assortment.
In addition, there are price promotional campaigns in large-format stores, which also stimulate consumer interest, increase sales.
Pricing promotional campaigns often also increase the purchase of unnecessary goods for consumers or proverbial buying.
A negative aspect of such buying is the subsequent discomfort of spending too much money on this type of shopping, despite the fact that the main activation factor was an effective price promotional campaign.
Often it happens that in the situation of this type of occasional purchases for stock some of the purchased products are thrown away, that is, they end up in the trash.
Especially often such situations happen, if consumers under the influence of emotional susceptibility to marketing content used in an advertising campaign make purchases of food products with a short shelf-life date.
These are typical situations indicating the unnecessary purchases of unnecessary products by consumers.
In such situations, the effectiveness of advertising campaigns can be analyzed in terms of the psychological impact on consumer emotions, so this is the subject matter of the issue described as behavioral economics.
According to classical and neoclassical economics, consumers rarely change their preferences, and if they change it is a very slow process, difficult to diagnose in a short time.
In addition, according to the trend of neoclassical economics, citizens, households and business entities maximize their own profits in the conditions of competitive market structures.
However, the results of experiments and conducted research in the field of behavioral economics have already questioned the fundamental assumptions on which the theory of choice in the neo-classical economy is based.
Why is it so that people do not always make rational economic decisions?
The answer to this is given by behavioral economics, which deals with cognitive errors affecting people's decisions.
These decisions are not always rational and because they concern many shopping situations not always needed products, so they are also of significance for the domestic or even global economy.
The global significance of these not always rational economic decisions arises when the effects of these decisions are analyzed in the context of economic globalization processes.
In addition, the results of research in the field of behavioral economics indicate that consumer preferences may change depending on the context, ie the specificity of a particular situation in which decisions are made.
In addition to the study of consumer behavior on the basis of behavioral economics, there are behaviors of, for example, investors on capital markets who also often do not have full information about the issuer of securities buy or sell shares, bonds and other instruments listed on securities markets under the influence of partly emotions and not just rationally made decisions.
Emotion, which often accompanies decision making about purchasing or selling securities, may have positive acceptance of high risk levels in good times in different markets and as a result of the so-called "sheep's rush", which boils down to buying, because it was previously bought by a friend and neighbor, and earned it.
There may also be irrational decisions on the sale of securities in a situation where it later turns out to be a short-term panic on the capital market.
In the light of the above examples, irrational economic decisions made by citizens and economic entities often conditioned by the psychological factor of positive or negative emotions are more and more numerous.
This raises the question why more and more in recent years we will be able to provide these examples confirming the validity of the development of research in the field of behavioral economics.
Is it because in recent years more and more economists are growing up and seeing research in the field of behavioral economics?
Or rather because in the deregulated financial markets market instability situations are more frequent, markets tend to lose their market equilibrium, financial crises occur more frequently, and the scale of undervaluation and the more revalue of market valuations of certain assets can be more and more pronounced on stock exchanges.
Analogously, the impact of more and more effective advertising campaigns on consumers, advertising campaigns also conducted on social media websites can increase the importance of occasional emotions in the context of decisions to buy specific products or services.
In view of the above, the current question is: Do consumers always make rational consumer decisions when purchasing economic goods?
Please reply, I invite everyone to the discussion,
Thank you very much,
Best wishes,
Dariusz Prokopowicz
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Silvia Sarti, Francesco Testa, and I recently examined consumers' pro-sustainability purchases to assess which proportion of the market was motivated to purchase based on intrinsic (collectivist) sustainability motivations as opposed to individualistic sustainability motivations. The findings are relevant to this discussion, even if definitions of consumer rationality are slippery:
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I am stuck at a point where I have the theme of an essay but do not know how can I prove that there exists a change in consumer behaviour after the adoption of IP assets.
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I agree @dhani, IPR leads to trust by consumers. Now CII body is considering a training module for MSME . Additional , IPR assets can be collateral for MSME in new schemes. Hope this helps
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Are the big brands making a comeback or is the importance of private labels being reinforced? The pandemic has strengthened large brands that have adopted ad hoc communication and advertising strategies. According to the concultora McKinsey, large companies have increased their market share by 1% during the past 2020 and a greater increase is expected throughout this 2021. However, during the confinement a willingness of people to subordinate has also been detected the choice based on the brand to the availability of the product, which has been a new opportunity for private labels.
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The growing importance of own brands is a result, among other things, of the growing interest in healthy food. More time means more opportunities to look for healthy solutions. Consumers are becoming more aware. Organic food, but also home production, is also in fashion.
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The current study Digital Marketing in Indian and its Impact on Consumer behavior in post and Pre-covid-19 in Agra a district of the state utttar pradesh India has to be taken up . How should I go about determining the sample size for the study please suggest the way forward.
Your help will be greatly appreciated.
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First, You need to consider a lot of methodological factors in line with your study. but I highly recommend the Krejcie and Morgan sampling table.
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I read from Hair et al., (2017)'s book that R square of 0.2 is acceptable in consumer behaviour research, however, they did not provide reasons for that. I think this is because human behaviour is less predictable than pure science. The reviewer requires me to provide more references for this, anyone has suggestions?
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Thank you all for the explanation, now I understand it!
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In consumer behaviour studies should we use Positivism or Post-Positivism paradigm?
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Positivism Vs interpretivism are polar extreme of quantitative Vs qualitative research methodology. Post-positivism is a refined method that acknowledges biases in whatever method that is being chosen and therefore more interpretive.
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I was part of the DRC meeting for research scholars pursuing their Ph.D. program where the agenda was to finalize the topics. It was surprising to note that the topics selected by most of the scholars were not making any sense. For example, a few of the approved topics by the respective guides were as under:
1. Study of consumer behavior during a pandemic.
2. Study of buying behavior of Gen Z
3. Study of Micro-Finance in Uttar Pradesh and many more
So I decided to conduct a small survey for these aspirants and was surprised to find that more than 50% of the aspirant selected a particular topic for the ease of availability of earlier dissertations on the same topic. This made me think that if the Ph.D. guides are not going to be vigilant then the quality of research is going to be adversely affected.
Looking for your thoughts on this concerning issue
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Judging on a research quality needs specific standards and benchmarks. SO, it is very important to check the parameters that you are using to decide on any research quality. The research focus depends on several environmental and contextual factors as well. And that makes more logic for international marketing theories. Therefore, what is important in a specific context might not be the same in another one. Also, the Covid-19 Pandemic has changed the globe including business schools and how business research should be done.
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The Project is incomplete, Please open the file attached to see!
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Having read the project, I will recommend you use PAF, oblique rotation. The component matrix may be ignored. Use the patten matrix instead. Name the factors based on the underlying factors loading to them. Compute item means and standard deviation. Do a Cronbach reliability test for each of the factor using the items loading to them.
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Looking into global context of this pandemic cause thousand of flight being canceled and grounded. In local context, e-hailing is far most frequently used to deliver consumer goods. Some maybe looks like it negatively impact the trade, but how does logistics perhaps to be important factor to elevate new trend of consumer behaviour of purchasing through e-commerce for the next five years?
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During the first wave of the SARS-CoV-2 (Covid-19) coronavirus pandemic, there was a significant shortening of international logistics chains. Due to the acceleration of digitization and internationalization of economic processes, the development of e-commerce, Internet purchases, online settlements and payments, the development of e-banking, etc., e-logistics is also developing.
Regards,
Dariusz Prokopowicz
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I am doing my master's thesis about city marketing. The purpose of the research is to build a suitable city marketing plan to attract international talents to our city.
To do the primary research, I am a bit confused about the targeted customers concept in city marketing.
So my question is, what keyword is more appropriate to search in the scholarly papers about targeted customers (a group of people that a city wants to attract) in city marketing?
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