Questions related to Consumer Behavior
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!
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.
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?
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,
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.
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.
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 . 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 . A third study utilized entropy-based methods to develop an effective approach for classifying time-series data .
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.
Conference Paper A Complex Systems Approach To Feature Extraction For Chaotic...
Conference Paper A Joint-Entropy Approach To Time-series Classification
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?
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.
I am conducting research on the following topic: Impact of eWOM on the consumer behaviour of Gen Z with regard to the Luxury Apparel Industry. I currently enrolled in a MS Marketing program. I'm fairly new to the research paradigm. I fed the data through smart pls. But I couldn't understand why I was receiving a low NFI score. Is it due to a smaller sample size? Sample size=116
Any help would be appreciated.
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?
what is really the influence of big data on corporate decision-making to understand consumer behaviour??
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?
I invite everyone to join the discussion,
Thank you very much,
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.
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
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
Do you have any companies in mind that are currently successfull because of their design and do not follow a minimalistic approach (like Apple or Porsche design does)? Maybe some that use a more playful or even psychedelic approach to product design...
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?
I invite you all to discuss,
Thank you very much,
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.
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!
Syed Muhammad Ehtesham Ali
Many articles discuss environmental uncertainty from the companies perspective and not consumers. Please share any article that discusses consumers perspective. Thank you.
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
6. Health and Environment
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
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.
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
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!
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.
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.
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?
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
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!!
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?
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.
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).
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
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
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.
Link for the Survey: https://forms.gle/Ym5uq3RxeGb9iNR98
Muhammad Taqi - PhD candidate
Department of Business Administration
Izmir University of Economics
Dear colleagues, friends.
I know that each of us has a lot of work to do, but at the same time, each of us knows that primary data is very difficult to obtain.
Please fill in the following questionnaires:
Topic: Consumer ethnocentrism
Topic: The role of nutritional values in consumer behaviour
Both questionnaires are part of the practical part of students' diploma theses (I am the supervisor of both theses).
I am grateful to you for each completion.
We also thank you for any comments and for sharing the questionnaires.
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?
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.
Link for the Survey: https://forms.gle/Ym5uq3RxeGb9iNR98
Sincerely. Muhammad Taqi PhD candidate Department of Business Administration Izmir University of Economics
Can you suggest papers (2018-2021) about "The Impact of Internet Advertising on consumers behavior"?
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,
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.
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.
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.
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?
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
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?
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?
The packaging industry is rapidly changing, as government legislation, and increasing pressure from consumers continues to drive a shift to more sustainable manufacturing processes and packaging. Our research group is looking to understand how environmentally concerned consumers are and the current understanding of plant-based materials?
Here's a quick survey to get your opinion:
Thank you in advance!
Hi, I am graduated with masters by research with research interest "Consumer Behavior". I am willing to do research in Industrial revolution 4.0 in the context of marketing, therefore, I need some suggestions
I have a crucial methodological question. I am working on the problem of food waste sensitivity (field of consumer behaviour) and its antecedents. Among the concepts which we suppose could be determinant (perceived sacredness of the food, a rather anthropological concept), do not have an adapted or adaptable measurement scale. My question: does this justify the construction of a measurement scale in the thesis project? Or such a project (development of a scale in a PhD thesis) must concern only the variable of interest (endogene) of the thesis, (in addition I am not an anthropological expert). I look forward to your response and thank you in advance.
Dear Researchers on RG,
I would like to write three articles for the coming year on the basis your suggestions and inputs. My ultimate aim is to get those articles published in reputed (Q1 or Q2) journals indexed in Scopus database.
Looking for real, worthy suggestions. Please avoid non-serious comments.
Non-experts on this domain may kindly recommend this question for a wider reach on RG.
Grateful to you all.
Note: Marketing sub-themes include Entrepreneurship, Green Marketing, Digital Marketing, Word-of-Mouth, e WoM, International Marketing, Small Business Marketing, Consumer behaviour etc.
Hello RG people , i'm actually working on my thesis and the question that i'm tackeling is :
How marketers use psychological practices to influence consumer behaviors ?
i already made an analysis of 16 research papers on the subject , some practices such as scarcity , loss aversion , the use of color and scent and the endowment effect , but right now i need to write an introduction and synthesis to all of that and i don't know where to start so if anyone can suggest some researchs done in this area or books , i would highly appreciate it !
I'm new to marketing and consumer behaviour research. I would be grateful if you could share some classic theories in this field or any framework or theories you found useful.
In the past, I have used the Theory of Planned Behaviour (incl the theory of reasoned action), the Technology acceptance model, and the Unified theory of acceptance and use of technology.
It would be great to expand my (as well as those new to this field) knowledge to look at other models that marketing researchers have been using.
Your contribution is much appreciated!
I will study consumer behavior and spending patterns of Millenials. My study aims to answer research questions like:
What product categories are purchased online?
What product categories are purchased offline?
What product attributes are crucial while making a decision about a purchase?
The data will be gathered through surveys with close-ended questions.
So, what statistical techniques should I use to answer the research questions?
As my experience and many consumer experience they feel the different taste of the same item served cooked in a different source, is it real or not, what is the reason behind this.
I'm searching for a research partner for a study - joint research work in the area of "consumer behavior/ changes/ insights during this Pandemic" , How pandemic affects the Consumer behavior / or Brands...
Is there any interested partner?
Seeking to do as a cross-country study
What are the factors that most influence the decision to purchase a photovoltaic system?
What do consumers think about photovoltaic distributed generation?
Are consumers' thoughts about the distributed generation of photovoltaic energy consistent with reality?
Theory of Reasoned Action
Theory of Planned Behavior
It happens that consumers accept a limited range of information regarding, for example, production technologies for purchased products and purchase products and consumer services in incomplete information on the production technology of a specific product range.
Why do consumers, when shopping for specific products and services often accept a limited range of information regarding, for example, production technology and composition in terms of the raw materials used?
Have consumers become used to the fact that in many markets there is no full, perfect competition?
Perhaps the information resources of the Internet, the processing of data downloaded from the Internet in the Big Data database systems technology will increase the level of consumer knowledge about particular products and services. As a result, consumer product and service markets would become more transparent and consumer-friendly.
In view of the above, the current question is: Will developing markets in the e-commerce formula increase the level of competitiveness due to the greater popularity of consumer information?
Please, answer, comments. I invite you to the discussion.
I propose an analysis of changes in behavioral behavior of consumers, business entities and other participants of individual markets, which can be observed on the basis of the analysis of entries, comments, posts, etc. typed by users of social media portals.
These studies are carried out as part of the sentiment analysis on data downloaded from the Internet and collected in Big Data database systems.
What is more interesting is the Business Intelligence type of analysis carried out in business entities using specialized software. The development of analytical platforms operating in the Business Intelligence formula automates and objectivises economic, financial and technical-economic analyzes regarding the functioning of business entities.
Please, answer, comments. I invite you to the discussion.
The 'editorial aims' section of a journal says that ...' papers should focus on behavioral outcomes more than on psychological processes'.