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I am lacking some articles and theoretical background on this topic and it would be super helpful is someone has already ready a theory or an article about this and is happy to share!
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What does his/her 7 mean?
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Dear frds,
scooping through the static socio-cultural typology clusters, I would like to learn more about the rigidity between the clusters in an intertemporal context.
How big is the difference between Continental Europe and the USA?
How likely is it that a traditional consumer morphs into an ecologist for example?
Cherish your feedback.
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I guess this is a question about actual social statistics. How prone are people in different parts of the world to change their views. Without having any actual empirical evidence in the form of the statistics you require, I can speculate. The US has a very polarized political scene, and low social mobility. My first guess is therefore that people would be more rigid. But then there are other things that might draw in the other direction. Namely education. Education is a strong form of mental conditioning. While it liberates, it also limits. In addition, the US notions of freedom are often defined as freedom from centrally or federally controlled norms. While Europeans focus on social mobility, economics etc. I am not sure what the sum total of what I am saying is. I am just brainstorming. Best of luck
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Consumers are opting to rather shop online these days, rather than venturing out to stores and shopping malls. With the advent of the COVID-19 pandemic, various restrictions implemented by Governments around the world to restrict consumer movement has lead to many brick-and-mortar closing their doors for good. With the lack of rental income and dwindling consumer footfall, many shopping malls followed suit.
What are some of the methods that shopping mall owners, managers and marketing managers could implement to attract consumers back to brick-and-mortar stores?
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At the level of a city, Google provides mobility statistics over the last few years for brick-and-mortar retail outlets. These roughly reflect changes in footfall:
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I am really confused with the variables that we will use in our study. We aim to identify the direct influence of consumer attitude toward pop-up ads on their purchase intention. In our framwork, the purchase intention is the dependent variable. However, the consumer attitude itself can be influenced by pop-up ads, so I believe that it cannot be labeled as the 'independent variable', since it depends on the pop-up ads.
My question is, what type of variable is the attitude, as well as the pop-up ads, if our main focus in the study is the attitude and purchase intention?
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I would say it depends how you want to use this variable of attitude in your model and interpretation. Is it a covariate you are controlling for? Is it a possible moderator or mediator? You may even want to run additional analysis stratifying subjects by attitude parameter. These are important considerations before you build your model. If you just want to control for attitude and effectively regress it out, these would typically be considered covariates of no interest.
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I am planning to examine relationship between social media usage and consumer decision - making processes
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I believe the dependent variable is one however independent variables are 3. Yes, you may use SEM.
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Study using questionaries' to determine the consumer attitude and consumer perception on meat consumption.
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In such cases, I usually conduct an a-priori power analysis in order to determine the required sample size. You can use G-Power, which is very intuitive and easy to download (see Faul et al. 2009):
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Hi, I am writing a project on the impact of COVID 19 on consumer buying behaviour and initially i was going to use a qualitative research method coupled with a secondary data collection but i noticed from most of the available research online, scholars have used various methods such as quantitative, mixed method etc to approach their objectives. What i would like to know pls is what is the best research method to approach my topic, should i use a systematic literature review and do i necessarily need a peer group to carry on with this, if so what are the best alternative option available. A reply will be much appreciated as i have a limited time to carry out this research
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Here, the answer is mainly focused on the literature search what is commonly called literature review that can be used by the most of the researchers in the world.
Both Qualitative or Qualitative research need the proper literature review for the particular research undertaken by the researchers.
The peer review is the process of checking or selecting the most appropriate literatures are mainly pertaining to the research titles.
The researchers have never considered the peer review process while doing research. It is the duty of the publication office to monitor those mistakes before publication.
AA
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In many instances, non-prescription or over-the-counter (OTC) drugs can be classified alongside fast-moving consumer goods (FMCGs). I'd like to hear your expert opinion on the primary differences between OTC products and other FMCGs in terms of marketing.
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Im conducting a study where I want to investigate consumer attitudes and purchase intention via questionnaires. I know that product related attitudes (price, taste etc) affects purchase intention, but I'm interested in investigating other areas. Do I need to include these product related attitudes in my questionnaire and control for them in my analysis, or can i disregard/exclude these variables entirely from my study?
Thanks in advance.
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We already know that control variables seek to rule out alternative answers to those sought in the study. They are factors that influence the dependent and independent variables but are not the object of the study. The differentiating aspect of control variables is that they are considered alien to the model, unrelated to the hypotheses being tested (SPECTOR; BRANNICK, 2011). However, many studies include control variables with no specific theoretical interest, sometimes without a clear justification for their use or present reduced comments. Given this context, I suggest pondering whether there is a theoretical and methodological assumption that justifies the need for the inclusion of these variables.
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I want to identify distinct consumer segments from my survey data. I have read articles using cluster analysis for consumer segmentation. Which method of clustering should I employ for the above analysis?
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Nidhi Joshi, to have done segmentation and clustering, you need to manipulate your data (and visualize it) in such a way that the clusters are more or less visible. Once done, apply k-means, mean-shift or other clustering algorithm.
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My question is;
What are the various reasons behind unawareness as per the consumer?
I am trying to find the impact of one reason on another.
Which method of analysis can help to derive an impactful answer?
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Hi @Anjali Manglani, could you provide more details about this question? But if I may guess, I think you are interested in analysing the effect of one or more variables (predictors) upon another variable (response). If this is what you need, I will suggest you try Generalized Linear Models (GLM), this will permit you to analyse a linear relationship between the response and predictors, even if the underlying relationship is not linear.
I hope this helps, best wishes with your work
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The survey is a series of statements in which the participants answer strongly agree to strongly disagree. Once I have collected the data, what is the best way to analyse it?
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You can first perform factor analysis to see how the items are grouped and after you use SEM method.
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Dear Colleagues
After publishing the co-authored paper about the purpose branding last year (attached), I'm working on the purpose luxury branding paper about luxury-art cooperation in radical changes in aesthetic practices now. My initial insight is that the incumbent luxury brand makes a radical change in the aesthetic practice when cooperating with an artist in a project that provides a new artifact = the asset for a new practice. Have you any suggestions on what could help?
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15 February MMXXII
With my compliments--article attached to this message.
Cordially...
ASJ
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Literature review
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Perhaps it can be linked with human culture and identity))
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Hello everyone!
We are working on factors affecting consumer purchase intention of organic food products in Haryana state in India. We need help in framing the questionnaire for this purpose.
If you have a standardized questionnaire in this regard we will be appreciated it to share it here.
Thanks for your help and guidance.
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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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Chances are that technology adoption and acceptance theories will be soon applied to figure out what might be the antecedents for individuals to use the metaverse. I just hope that the operationalization of the respective constructs will be done in a meaningful way; otherwise we will just get the usual and fairly tautological results saying that "people will use it because it is useful". Having said that, it might be interesting to investigate privacy concerns and potential privacy violations. This can be done with or without technology acceptance models.
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What would be the research objective for the following research question? And what techniques should I use? Besides, can you suggest me some related articles?
Research Question:
What are the psychographic attributes/constituents of the digital consumer segments that would help improve the precision of targeting in the digital advertising space?
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Mark Anthony's feedback is a very good one and should definitely be considered in your research design phase. Understanding the psychographic attributes/constituents is key, but also understanding the digital consumer segments, which are many. You may consider focusing on a primary one, or one of your interests. Also, you will need to standardize the term "precision of targeting" in the digital advertising space. In other words, who would you define the precision of targeting, or "precision," for that matter? You will need to define some attributes for it, so you don't get lost along the way, or end up with never-ending research.
I would suggest you have a very clear research goal and objective(s), which naturally will require a specific research design and the adoption of analytical tools.
I tend to focus on applied research, so I always try to understand the "management decision problem," what is preventing a process from moving forward, and convert it into a market research problem, the question I will try to answer with the research.
I hope the above helps.
Best,
MG
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Attitude resistance is the degree to which attitude is immune to change. I am not able to find the scale of it.
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Hi Abhinav Verma,
I suggest you a couple of readings which could be useful for you:
  • Saksvik, I. B., & Hetland, H. (2009). Exploring dispositional resistance to change. Journal of Leadership & Organizational Studies, 16(2), 175-183.
  • Oreg, S. (2003). Resistance to change: Developing an individual differences measure. Journal of applied psychology, 88(4), 680.
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Hello!
I am conducting a research on the Effects of Brand name on the consumer purchase intention, post COVID-19. Please help me by completing the survey, it will only 3-4 minutes. (Aged 18 - 50)
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Dear Mr. Uddin!
I submitted my answers. Hope YOU have a Nice Day! Yours sincerely, Bulcsu Szekely
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Customer engagment as comptative advantage
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You may refer to the following articles:
Gómez, M., Lopez, C., & Molina, A. (2019). An integrated model of social media brand engagement. Computers in Human Behavior, 96, 196-206.
Hollebeek, L. D., Glynn, M. S., & Brodie, R. J. (2014). Consumer brand engagement in social media: Conceptualization, scale development and validation. Journal of interactive marketing, 28(2), 149-165.
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I am looking for conceptual grounds and scales for consumers perception, attitude and outcome behavior towards corporate communication especially sales promotion types and advertising. Please suggest some research.
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Good day...hope you all safe
l am conducting a study on examining how the store atmosphere influence consumer purchasing behaviour. A case or retail supermarkets in Bulawayo Central Business District.
May you kindly fill in the questionnaire with the link below.
Your participation will be greatly appreciated. Thank you
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Customer's priority, satisfaction, price and quality of goods, communications are key factors of a supermarket need to be included in the Questionnaire.
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The student sample can have been questioned the validity and generalizability and threatens the external validity due to not representing the general population or "real people" and unique characteristics of the population (Burnett and Dunne, 1986; Wells, 1993). Nevertheless, according to Yoo et al. (2000, p. 202), for theory-testing research, "a student sample has been deemed acceptable and even desirable," particularly when they constitute the major consumer segment for the selected product. Furthermore, Calder et al. (1981) also suggested that a maximally homogeneous sample has important advantages for theory validation research, e.g., a student sample. Hofstede (1991) also stated that a maximally homogeneous sample allows more exact theoretical predictions and reduces the confounding effects of other factors. More importantly, according to Calder et al. (1981), a student sample is accepted for a theory-testing study in which the multivariate relationships among constructs, not the univariate differences between samples, are being investigated. Also, the fact that showed that "students have been effective surrogates for non-students or adults in various empirical studies that have examined" (Yoo and Donthu, 2001, p. 4), for instance, attitude toward advertising, country of origin, and attitude - preference relationship (Yavas, 1994), safe behavior and product warnings (Cox et al., 1997), and price-quality perceptions (Lichtenstein and Burton, 1989), effects of selected marketing mix elements on brand equity and its dimensions (Yoo et al., 2000), developing brand equity model (Atilgan et al., 2005), etc.
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could you narrate your question more simplest way please!
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Most of the countries in European union and other countries not using palm oil for cooking purpose. But in south asia especially India is largest consumer of palm oil. Though palm oil not good for health. But still why government is promoting palm oil cultivation.
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One of the reasons may be that India imports>75% of palm oil from Indonesia and Malaysia. The total worth of the palm oil business in India is around US$ 10Bn. Hence GOI is promoting palm oil cultivation to reduce the stress of import of palm oil since peninsular India has the appropriate climate for its cultivation.
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I conducted a questionnaire to evaluate (a part) of ecosystem services. To ask for respondents' WTP I asked them how much money would they pay more in entrance fee in order to contribute to conservation activity in the area from the choice below:
1. $0
2. < $5
3. $5 - $10
4 >$10
Could I use ordinal logistic regression to deal with the data. Or what should I do I get the mean of WTP to get the consumer surplus from the data? I would appreciate if someone could help me. Thank you in advance
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The mean cannot be computed with ordinal data. Finding the mean requires you to perform arithmetic operations like addition and division on the values in the data set. Since the differences between adjacent scores are unknown with ordinal data, these operations cannot be performed for meaningful results
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Hi, I am doing research for a class and would love some input from this community. Basically, I am trying to understand what would make consumers buy my products by understanding what changes in any aspect of life would drive consumer spending on new technology. Basically, what drives adoption of new technology? What makes consumers spend money on new technology? I would be so grateful for any help. Thank you.
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  1. Brochureware: A digital site presents marketing materials and product complements without any direct links to sales.
  2. Single-party selling: A single party sells its products, likely on a direct-to-consumer site. The data journey begins here, with transactional data providing insight into first-party success.
  3. Multichannel: More than one digital channel sells items, and data becomes more complex.
  4. Omnichannel: Every channel works toward selling goods, and data continues to inform decision-making.
  5. Headless: There is a true decoupling of the back end and front end of the store. Data processing is at an expert level, and the entire experience is streamlined.
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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.
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thank you a lot dear professor Dariusz Prokopowicz, Mirosław Grzesik for your wonderful answer and suggestion.
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I'm conducting a comparative research of omnichannel experience. Kindly ask to take part in this survey https://impresaluiss.qualtrics.com/jfe/form/SV_7WZOTN1rENKA4EC
Highly appreciate your help!
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Dear Marián Čvirik , Thank you for your participation and suggestion! I find them really relevant!
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I'm conducting a comparative research of omnichannel experience. Kindly ask to take part in this survey https://impresaluiss.qualtrics.com/jfe/form/SV_7WZOTN1rENKA4EC
Highly appreciate your help!
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Done : - )
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How advertising skepticism negatively influences or effects or decreases overall consumer based brand equity?
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I would say time is the critical factor. In a short time, there can be a negative impact but later influence should disappear. If marketers understand the market and consumer scepticism, they will react and change their approach. I have only empirical feeling that the Nordic countries have high ad scepticism and are among leaders by guerilla, buzz, social and other alternative forms of promotion. A wrong strategy has a negative impact, but not because of advertising scepticism but because of the wrong strategy. In my opinion ad scepticism erodes the brand equity of such brands which do not respect the scepticism and transfer it toward brand equity of more trustworthy communicated brands. It can change the market shares but does not mean movement toward rational consumer behaviour.
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I have delta N for Snail, 3 source organisms (organic matter from phytoplankton; benthic microalgae and peryphyton); primary consumers (zooplankton) and tertiary consumer is Hilsa fish of different sizes.
May I apply TP= [(deltaN primary consumers -deltaN primary producers)/3.4]+1 ( Post DM (2002) Using stable isotopes to estimate trophic position: Models, methods, and assumptions. Ecology 83:703–718)
If so, how can I calculate trophic transfer from primary producers to zooplankton, fish?
Should I use the average delN value of zooplankton as the primary consumer and the average delN value of each primary producers?
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2. You can consider a one-isotope mixing model and take into account trophic enrichment factors to estimate trophic contribution from producers to consumers.
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We are planning to conduct a research connected to the different forms of consumer consciousness with my collegues. We are looking for already tested scales to measure environmental and health consciousness. Can you help to recommend any "well-performing" scale?
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Likert' Scale at 5 point continuum would be applied
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The study we will conduct will have 423 respondents. Is it possible?
Our study is about the impact of advertising appeals on college students' consumer attitude towards advertisement. Due to restrictions, we were prohibited from using random sampling. However, we want to proceed with our study using MRA and Snowball Sampling.
Your opinions and suggestions would mean a lot for our group.
Thank You.
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The large majority of articles published in business, management, and consumer behavior journals does not use probabilistic sample, and is quite frequent the use of MRA in those articles. If you have doubt take a look at Journal of Marketing, Journal of Consumer Research, and Journal of Business Research, for instance.
Best wishes,
Francisco Vieira
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Hello,
I have adopted three variables from the literature (pain of paying, purchase intention and consumer attitude). Each variable is measured by a set of multi-items. Each variable come from a different source of the literature, I mean, they were not used together in the same research.
I know from the literature that each of this multi-items should load into only one factor (into pain of paying, purchase intention or consumer attitude).
However, the dimensions of the literature were not used in the same context and population than mine, that is why I would like to validate the instrument. Should I validate my questionnaire with the three dimensions together or each variable separately?
Once I know if to validate the whole questionnaire together or each variable separately, I have the question if to validate it with a Principal Axis Factoring or with Confirmatory Factor analysis.
I have done a first trial in SPSS with Varimax rotation of the whole questionnaire and I have two issues: 1) items from one variable (purchase intention) loading into two factors; 2) 4 factors were extracted instead of the expected 3 (one per variable measured).
Could someone give me here some recommendations? Thank you
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Hello Andrea,
It sounds as though you have drawn possible indicators from the literature for your three intended target dimensions; that's good. However, doing so doesn't guarantee that your resulting collection will, in fact, represent those three dimensions (and no others) in the intended way. So, factoring is a good idea.
You could start by presuming that the indicators would load with the intended dimension and evaluate the plausibility of the 3--factor model via confirmatory factor analysis. If that fails, however, to corroborate a clean structure then you're pretty much forced into: (a) abandoning that ship and starting fresh with an exploratory factor analysis; or (b) modify the solution until it "looks right," at which point you'll need to collect more data to judge whether the modified solution holds in samples other than the one you used to create it. Either way, more data are needed when the CFA fails.
But, it sounds as if you've already taken off on the EFA path. In doing so, do recognize that: (a) you may end up jettisoning some indicators for legitimate reasons (e.g., failure to load on any factor; loading on multiple factors); (b) you'll need a pretty strong justification to assert that the three target dimensions are uncorrelated, and that an orthogonal rotation therefore makes sense (my guess is that an oblique solution would be more realistic); and (c) you may decide that one or more factors/dimensions has too few items remaining to be constructively identified (aim for at least three indicators per factor).
Good luck with your work.
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Most of the good and services are available in the market do not reflect its real value. This is a good opportunity for sellers to earn excess profit where consumer is getting worse off. You may also have such a experience where you may have cheated by sellers by selling their product at unreliable price.
If you have any experience like that could you share your idea and I will be highly appreciated if you could mention any suggestion to avoid this malpractice made by sellers and it will be effective to certify the consumer well being.
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Thank you olga. Nice answer..
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Present it in a thesis statement and a hypothesis.
 There is a correlation between social media and consumer buying behavior in the fashion-retail industry.
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Thesis Statement: The influence of Social Media on consumer buying behavior in the fashion-retail industry.
Hypotheses:
using the Shema theory the hypotheses will be as follows:
H1: There exists a significant positive Relationship between Firm-created communication and consumer buying behavior.
H2: There exists a significant positive Relationship between User-generated communication and consumer buying behavior.
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I have started working on secondary datasets (e.g. consumer panel data) and was wondering which of these programs is more effective in terms of coding and analyzing secondary data. Any thoughts?
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I strongly recommend Python .
Python is an interpreted, high-level and general-purpose programming language. Python's design philosophy emphasizes code readability with its notable use of significant whitespace. Its language constructs and object-orientedapproach aim to help programmers write clear, logical code for small and large-scale projects.
Regards,
Shafagat
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Most marketers, media networks and agencies struggling through the COVID-19 induced slump in consumer demand have their sights fixed on the coming festive season. Hoping that in some magical way, twinkling lights and festive cheer will help consumers shrug off their pent-up fear and anxiety, and get out shopping.
It might work. Or it might not. But hope is not a strategy.
Looking forward for a valuable discussion.
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The COVID-19 situation has created uncertainty in the minds of consumers and uncertainty leads towards anxiety. Humans respond differently in the face of uncertainty and their reaction/response can be analyzed and used to ease the anxieties of the consumers in a healthy way. For example, supporting positive actions that help consumers adapt and promoting positive behavior change might be helpful.
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Hi there, Hope you are doing well, As part of my research work, I am conducting World’s biggest survey. And for its successful completion I need 5 minutes of your time, if you can please click on the link below and spare 5 minutes of your time. Thanks in advance. Link: https://docs.google.com/forms/d/e/1FAIpQLScEf3VOYSYZTTrjCfbPtdCPCxhgk0-RSa6WoBQQQd_tEhB5NA/viewform
Warm regards
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I’m looking for secondary data about consumers’ complaints in service firms at the European level. I’ve found a source for U.S. (https://catalog.data.gov/dataset/consumer-complaint-database) and I would like to know if there is something similar at the European level.
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I am currently working on an article on the influence of religious beliefs on consumer behavior. Can you tell me some reliable studies on this topic? Maybe you know some general study on factors influencing consumer decisions?
I will be very grateful for your help
Richard
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Hi Richard, this article offers a well-conceived framework:
Mathras, D., Cohen, A. B., Mandel, N., & Mick, D. G. (2016). The effects of religion on consumer behavior: A conceptual framework and research agenda. Journal of Consumer Psychology, 26(2), 298–311. https://doi.org/10.1016/j.jcps.2015.08.001
Best wishes,
Michael
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I am interested in developing business models to substitute flexible plastic packaging, one of them is direct to consumer distribution. Is there any good publication that you would recommend to create a better proposal?
#sustainability #refill
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Zero waste is a goal of the ethical, economical efficient and visionary approach. This facilitates change of lifestyle and practice towards sustainable natural cycles. The concept of ‘Waste is a resource’ is evolving gradually. I wish to cite a recent example where a designer felt the need for more beds in the hospital for covid-19 patients. She picked up the waste material of the dress requirement for various health workers and started weaving it like a plait (ladies) which provided employment. The woven waste was joined together to convert them into beds – one time use and discard. The demand for such beds seems to be growing. Many industries have been adopting this principle of converting their waste into a resource
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The continuous increase of online users, have given opportunity to many business executives to utilize social media for their brand promotion or recognition. Organizations utilize social media sites like Twitter, Facebook, LinkedIn, Flicker, Google Plus and YouTube to promote their product, service or brand worldwide. Increase of consumer engagement in online social activities forced companies to integrate social media factors into their marketing strategy.
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I have a back data trend for snacks product shipment towards end consumer sales out, and I need to define the time lag between releasing the shipment & product sales to the end consumer
The attached excel file includes the data, please help me at this issue using Excel.
Thanks in advane
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Thanks Dr. Hend
Actually, The independent variable is Snacks Shipment and the dependent is Snacks Sales.
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I'd like to create a browser plugin for online shops which introduces a layer of added friction for (unnecessary) purchases before checkout. What would be the most effective way to make a consumer think twice? Any thoughts on how to approach this?
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I would suggest some type of delay mechanism that the user can adjust, say from 5 minutes to 24 hours. A simple time delay can provide a new perspective on the desired object. It may simply not appear as attractive after a short wait.
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I hope someone can help me further. I am researching if product labeling information influences consumer buying behaviour. My independent variables are authenticity and transparency (within product labeling), my dependent variable is consumer buying behaviour and my mediator variable is consumer scepticism. Below are my hypotheses. Which research design do you recommend? I am very lost at the moment. Hope someone can help.
H1: Consumer scepticism has a significant impact on
the buying behaviour of young sport nutrition consumers.
H2: Authenticity has a significant impact on the buying
the behaviour of young sport nutrition consumers.
H3: Transparency has a significant impact on the buying
the behaviour of young sport nutrition consumers.
H4: Authenticity has a significant impact on consumer scepticism.
H5: Transparency has a significant impact on consumer scepticism.
H6: Consumer scepticism mediates the
relationship between authenticity and buying behaviour.
H7: Consumer scepticism mediates the
relationship between transparency and buying behaviour.
Kind regards,
Robert Schouten
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Actually, this seems to be a mediation analysis, not moderation. You can analyze it as a path model using a series of regressions, or you can use the Process Macro in SPSS.
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To measure consumer debt relative to personal disposable income and consumption relative to personal disposable income.
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I interested
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Which dimensions and indicators we should include inquiring consumer buying behavior in online shopping in a questionnaire? What should be the questions for those dimensions and indicators?
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The dimensions of cross-NAT purchasing behavior are:
- the culture of online shopping;
- Frequency of online purchases;
- confidence in online purchases;
- Motivation to shop online;
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In fact, the phenomenology of the brand crisis phenomenon and The antecedents of the brand crisis and study investigates changes in consumer behavior directly after a
food scandal and study takes a follow‐up investigation on consumer reactions
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Hi, Thanks for your suggestion, I also read this article. I think that in this case, resistance or sanctions are Consumer reaction. Certainly, culture has significant role.
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Most of the research that I have come across uses technology acceptance models for understanding consumer acceptance and so I am wondering if there are any other interesting frameworks which can be done using mixed methods. Thanks for your time.
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I also recommend TAM. I have also observed that industries are using it in Industry 4.0 conceptualization.
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How has advertising impacted consumer buying behavior in COVID-19 leading to the new trends setting for E-Businesses?
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Since people stay at home more often, they are likely to buy things online, which consequently increase the market price of online retail businesses such as Amazon.
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I'm looking for scales to measure the role of Artificial Intelligence in purchasing/consumer behaviour. I'd be glad if you could recommend some valuable papers in this field too. Thanks a lot!
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Maybe this article could be of help:
Waiting for a sales renaissance in the fourth industrial revolution: Machine learning and artificial intelligence in sales research and practice
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I am looking for a data set to find out the loyal consumers.
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Maybe you should try with Mobile Marketer. They publish surveys quite frequent:
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I wish you success in completing the study in this unconventional pattern, especially since so far the tools of measured measure have not been completed accurately, This was mentioned in his study by (Christian Grönroos) ... Question which dimensions are It can be measured practically and thank you
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You can check and modify the variables of CBBE model
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For my paper I would like your expert opinions.
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Some Unilever products... Rangan, V. K., & Rajan, R. (2007). Unilever in India: Hindustan lever's project Shakti-marketing FMCG to the rural consumer (pp. 9-505). Boston, MA: Harvard Business School.
Suganthi, V. (2016). Marketing strategy of FMCG product: A case study of Hindustan Unilever limited. Marketing, 1(9).
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I am looking for scale to measure customer confidence in retailers. It will of great help.
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We are talking retailers.
What are the important criteria that people use to choose where they will shop?
e.g. price of goods / product quality / helpful staff / good layout / easy access / loads of parking / online sales / good delivery/ concerned about recycling / returns policy and so on. You need to establish them for your country.
Right then you measure how customers and the target market rate the store on these factors … either levels of agreement that they are good, or perhaps measure level of satisfaction (very dissatisfied / dissatisfied / neutral / satisfied / very satisfied).
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Finally follow up with measurement of the Net Promoter Score
That is:
Using a score out of 10, where 10 means very likely and 0 means totally unlikely --- you ask:
How likely are you to recommend ‘store’ to your friends?
You then calculate
Promoters – those who rate 9 and 10
Passives - those who rate 7 or 8
Detractors – those who rate 6 or lower
your NPS = %promoters minus %detractors
This number needs to be positive …. and the larger it is, the better you are serving your customer.
At the end of this exercise you know how the retailer is performing on selection factors … and what the end result is on their NPS.
You have direction / know what to fix … and if people are recommending you they have confidence you won’t let them down. They will carry on shopping.
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I have completed a research paper in which I have tested and validated through factor analysis antecedents to consumer involvement for organic food products. I tried to publish in a few good journals but was rejected. I have used the Principle Axis Factoring method and identified factors that affect consumer involvement and also developed a tool for measuring consumer involvement based on these antecedents. Can anyone guide me as to what to do further to get it published it in a reputed journal like the ones in ABDC or Scopus or Elsevier?
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Cordula Hinkes
In that case whats tests should I go for in order to enhance the quality of my research? The purpose of the research was to identify and validate a tool to measure a qualitative variable which is product involvement.
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How machine learning, deep learning and artificial intelligence can be used to predict consumer impulse buying behaviour?
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Dear Abu Bashar, I hope these tutorials help you.
Predicting buying behavior using Machine Learning: A case study on Sales Prospecting
5 Ways Retail AI Will Influence Consumer Behavior
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I am currently almost completing data analyzing by using thematic procedures and now struggling to summarise the data to finish the chapter. Until now still head wired, assuming that I am again trapping somewhere.. especially to demonstrate the data sufficiently.
Choose phenomenological to further understand consumer' experiences with islamic labelling during purchasing.
Any advice would be much appreciated!
Many thanks
-nurul
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Dear Colleague,
I am not sure whether I understood everything correctly. Let me summarize with my own words what I picked up:
Research phenomenon: experiences of consumers with Islamic labelling during purchasing
Epistemological stance: phenomenological view
Research design: undisclosed (exploratory part? evaluation part?)
Research approach: thematic analysis is mentioned, but it can be many things
Coding approach: undisclosed, even the type of data available for you is not specified.
In the lack of the above important pieces of information, the advice cannot be else but a generic one: If your research goal is to explore and interpret themes (patterns of meaning) within qualitative data, then (depending on your research data, their representation and coding) you may consider: grounded theory, narrative analysis, discourse analysis, concept dependence mapping, qualitative framework synthesis, and/or interpretative phenomenological analysis as qualitative evaluation method.
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How the consumer are planning to adopt new changes in their shopping behaviour? Will the consumer will return to the old traditional buying process?
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By reading reality, not studies, the Arab consumer is gradually turning to behaviors of contemporary technological consumption..
Given that the observation is the result of my work on cultural studies in the Arab world.
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The main objective of this research is to investigate the influence of sales promotion and physical surroundings that is situational factor on consumer buying behavior. and what type of offers attract them most
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In my opinion, the analysis of the growing importance of behavioral finances in the context of examining changes in consumer behavior regarding purchases of consumer goods and changes in the behavior of investors operating on financial markets investing in specific financial instruments, including capital market assets, in securities is one of currently the fastest-growing topics of scientific research in the field of economics. In addition, using the Big Data Analytics analytics, interesting research is being conducted in the field of issues: Analysis of changes in consumer behavior relations in the markets of goods and services caused by the impact of advertising campaigns conducted on the Internet, using new tools of Internet marketing used in new online media, including mainly portals social media. The growing importance of economics and behavioral finance, including the analysis of the determinants of media shaping consumer opinions regarding company brand recognition, product and service offerings, etc. by increasing the importance of online information services, including social media portals. The results of many researches show that business and economics are connected or determined to a significant degree with psychology. Examples of the most often cited, described and researched include emotionally determined behavioral behaviors of both consumers in consumer product and service markets as well as stock market investors in capital markets, including securities markets, in addition also currency markets, etc. Issues of the influence of psychological factors on economics can be found also within the scope of marketing activity directed at potential consumers of certain products or services. Supported by intensively conducted advertising campaigns, the sale of certain types of products and services is particularly determined by psychological issues used in advertising campaigns, which increase the scale of appearance and fashion activities for specific types of products or services. Sometimes the effectiveness of conducted advertising campaigns largely depends on whether the information message contained in advertising spots acts on human emotions and thus generates smaller or larger revenues from the sale of specific products or services. In my opinion, a good method of collecting data for the needs of this type of analysis are survey research methods, which cover consumers of a specific, cross-sectional group, segment of citizens, with specific characteristics. Next, statistical elaboration of the results of conducted research should provide analytical material for formulating specific assessments and characteristics of both behavioral and pragmatism of specific actions undertaken by a selected segment of participants in a given market, e.g. consumers of specific types of products and services. In addition, advertising of consumer products and services serves to increase the demand for the advertised offer, and thus significantly affects the increase in consumption and also indirectly changes the behavioral behavior of social behavior and also increases consumerism. In developed and developing economies, advertising is largely responsible for the rise in consumerism, but it is not easy to investigate to determine precisely what quantitative dimension this impact is. In connection with the above, in recent years the importance of the issues of analysis of sentiment analysis of data obtained from social media portals has been growing on Big Data Analytics platforms. For many companies, social media portals such as Facebook, Tweeter, Instagram, YouTube, TikTok and others are a source of data on shopping and behavioral preferences used by companies operating in various industries and sectors for the purposes of marketing activities. In line with the above, in my opinion the importance and applications of economics and behavioral finance have been growing in recent years. The above considerations show that many determinants are currently active that shape changes in behavioral responses of consumers in consumer goods markets.
Greetings,
Dariusz Prokopowicz
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The country’s bullish renewable energy programme may be another, as this will bring down the cost of producing energy and reduce the use of otherwise exportable gas. Plans for an energy spot market could further encourage this growing industry.
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If key infrastructure investments and power plants producing energy from renewable energy sources are financed from funds from the state's public finance system funds, then citizens will notice that the purchasing power of revenues can increase significantly and then the consumption of specific types of products and services may also increase to a certain extent. In addition, the development of renewable energy sources is an important element in increasing long-term energy security and sustainable, environmentally friendly economic development. In the longer term, the development of energy based on renewable energy sources may be one of the important elements of the country's economic development.
Greetings,
Dariusz Prokopowicz
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Changing the buying behavior is a fundamental problem that could be analyzed from the policy and firm level perspectives. in developing countries there are many cultural and infrastructural problems that are decreasing the motivation of consumer to buy domestic consumption. instead of challenging the complex policy level issue, we designed a firm level case study at Hacoupian Clothing Corporation of Iran. we found interesting factors to enhance the domestic consumption at the firm level, including 1. identity factors, 2. product differentiation, 3. consumer orientation, 4. marketing techniques, and 5. consumer relationship channels.
The paper is just attached
Any kind of feedback will be warmly accepted
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Nice Contribution Arega Ebrahimi
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Currently my study is based on consumer perceptions and WTP for organic vegetables. I am using choice experiment in my study and almost done with analysis but unable to estimate the percentage of the respondents WTP for the organic vegetables. I have seen this type of analysis in few research articles. Is there anyone, who can help in this regard?
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I agree with Nasir Abbas Khan
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Hi all,
I am working on Millennial's perception towards sustainable luxury perception. My survey only takes few minutes to complete. I will highly appreciate if you could complete it.
It targets worldwide Millennials' (luxury) consumer.
Best regards,
Pruniaux
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Done!
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Questioning the Economic Rationality behind the US WTI price slipping into Negative Territory!!!
It was recently reported through all mass media platforms that WTI price, which is the US crude oil benchmark price (futures) slipped into negative territory. Ever since the news broke, I copiously challenge myself & other colleagues on the economic rationality behind a negative price for a physical commodity such as the US crude oil. My submissions are as follows:
From the demand side perspective, the economics of rational preferences as reflected in the transitivity property states that if an individual prefers commodity bundle B to commodity bundle A, and commodity bundle C to commodity bundle B, economic rationality dictates that the individual should prefer C to A. But some individuals would rather prefer A to C. Here is why??? Assume that we have just three oil producers in the US selling different grades of crude oil (A, B & C). Also assume that B is of higher grade than A, and consequently a buyer prefers B to A. Similarly, assume that C has a higher quality content relative to B, then economic rationality requires that the consumer prefers C to B. Ultimately, the transitivity property of preferences assumes that a rational consumer should prefer oil grade C to oil grade A. But it is also possible for the reverse case to occur in real life; here is why!
Given the subsisting oil supply glut on the US & global oil markets and the fact that the US oil producers are running out of storage space, let’s assume that oil traders sell their crude for free (implying a redistribution of welfare from sellers to buyers). Which of the two oil grades between A and C will the so-called rational consumer choose??? Someone would easily say oil grade C…but if say the seller of oil grade A offers prospective buyers $100pb while others settle for $30pb (According to Aljazeera News, oil traders being sceptical about tepid demand for their crude offered every prospective buyer $30 per barrel (pb) so as to evacuate excess supplies from their reach). Now, how do you evaluate the consumer's preference position??? A consumer that is suffering from poverty of economic rationality & ideas will prefer the oil type with lower grade (A) to C with high quality content just because he gets a net returns of $70pb by choosing oil grade A over oil grade C.
From the supply-side perspective, the Economics discipline teaches us that where there is excess supply of a product, producers or sellers will have to price down their products in order to find buyers. Meanwhile, the US oil traders are doing this indirectly by paying interested buyers per barrel of oil taken away from them. Is the approach of selling your products at zero price and paying off prospective buyers not counter intuitive??? In Economics, quantity supplied of a commodity (not services such as labour supply) is said to be positively related to its price. Here is why, in a perfectly competitive market where each seller faces a common price, if we tri-sect the U-shaped marginal cost curve into three portions – decreasing marginal cost (equivalent to rising marginal returns to a factor input); minimum (or turning) point on the MC curve (equivalent to a point on the short-run product curve where marginal returns to a factor input is at its peak) & the upward sloping portion of the MC curve (which equally mirrors the portion of the MC curve where the law of diminishing returns has started to set in). The question is on which portion of the MC curve should a producer or trader supply its products to the market???
An answer will be that for a profit maximizing firm operating under perfect competition, the supply curve it faces is that portion of the MC curve that is above the minimum average variable cost curve (which is to the right of the shut-down position of Price = Average Variable Cost = Rising portion of the MC curve). Let’s think through this…if the US oil producers are rational enough, they should give their crude for free & nothing else…or help ask if they are ready to lose their mark-up & start-up capital as well? This is not sustainable though. The good news is now that the market has returned to a positive price trajectory after the US President Donald Trump allayed the fears of investors in the US oil futures market that a number of policy pronouncements are likely in coming weeks. According to Aljazeera News, the US government is planning to extend financial aids to the so-called high cost oil producers, has promised to buy at least 75 million barrels to shore up the country’s strategic petroleum reserves & is considering plans to curb more oil shipments from Saudi Arabia into the US market.
###I rest my case here###
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The price of oil is shaped by supply and demand. Due to the coroner's crisis, the demand for oil internationally has collapsed and with it the prices. Small and large businesses order less oil, airline fleets remain stuck on the ground and consumers stay home and do not use their vehicles.
These are the so-called May contracts, which expired on April 21. Which means that whoever owns such a contract that day, also owned the agreed amount of oil. However, oil reserves are high, so the cost of additional storage increases. For this reason, investors turned their backs on fixed-term contracts, which not only lost their value, but their prices fell to negative levels.
Speculators may be interested in time contracts because they are essentially betting on future price formation. They can therefore make or lose money. There are many speculators who have been lost these days. Many companies want to secure their transactions in the fossil fuel market so that they know in advance how much they will have to calculate. Only at this time no one wants oil, the delivery of which is guaranteed by the deadlines.
WTI (West Texas Intermediate) crude oil has limited storage capacity, as the pipelines end up in Oklahoma, where the world's largest storage facility is located in the city of Cushing. But there the spaces are already full and extra space costs about ten dollars per barrel. And it is not ruled out that their price will increase further. It should be noted that for the European type of Brent oil there are more storage possibilities.
Oil companies will face problems if prices remain so low. This could have an impact on loan service as well as employment. Low prices are pushing the sluggish production sector to the brink of bankruptcy. Observers estimate that these companies need a barrel of $ 50 to cover their costs.
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Consumer choice criteria (motivation factors that influence decision making)
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Dear Sanjay
As already mentioned in the previous comments bibliometric analysis can be used for example to uncover key research streams of a given research field.
To answer your question, you could at least try the following. Considering that your research field will be motivational aspects during consumer choice you could enter appropriate search words into web of science. For example: consumer AND choice AND motivation. This database query delivers 974 articles. This could be your point of departure for a bibliometric analysis. In a next step you could extract each articles’ references (this will be the “earlier studies”). These references could be processed and eventually organized in a co-citation matrix which in turn can serve as input for a factor analysis. The results of the EFA, i.e. the different factors, will uncover the intellectual heritage of your research field.
I could imagine that one factor for example deals with incentive alignment, another factor with involvement, etc. The involvement factor in turn could cover topics like product involvement, situational involvement, emotional involvement, etc.. Thus, different aspects of motivation during consumer decision making. Well, this is just a guess, but it may worth it to try it out.
Please note the following: Bibliometric analysis on co-citation patterns requires special knowledge. More specifically, arriving at a co-citation matrix requires solid knowledge on excel or another data processing software and analyzing that matrix by means of factor analysis requires solid knowledge on factor analysis. If you are lacking in one of these methods, I suggest reviewing the 974 articles simply in a qualitative fashion.
I recently published an article using bibliometric analysis with co-citation patterns in the Journal of business research. There you find more details on the methodology and further references. I also uploaded some data which you can use for practice.
Through this link you have full access until May 02 2020. https://authors.elsevier.com/a/1ajiSXj-jRlAv
Well, good luck!
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I want to calculate the transmission time of electricity (for example 20kw) in smart grid between two nodes (consumer and producer) , is there any formula i can use !!!
can anyone help me, thanks in advance
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While endorsing views of Mahdi Saadatmand and Madhab Roy, no matter through the smart or non-smart electric network when electricity flows with the speed of light when the conductor is bare conductor. However, in the case of cable it is bit slower, mathematically arrived or estimated at by dividing that speed by the square root of relative dielectric constant of cable insulation with respect to air.
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I want to know the voltage level at which mseb receive electricity. Then transmission voltage level to different city and town and finally to consumer.
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I agree with Anand Rajendran
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!. How long will this greater virus, the parasitic global Monopoly Capitalism will continue to be the Frankenstein Monster, feeding on humanity – a Monster/Alienation that man created himself for his own need, but which, at certain stage of its development has gone out of man’s control and has now come back to haunt its creator?
2 How long will man continue to be blinded by globalized greed; gluttonous possessiveness; false vanity; consumerism; hedonism, national, religious and tribal fanaticism; racism, bigotry etc.?
3. When will the Western working class, supposed to have developed and matured in the womb of the old society, but remains undelivered; will take charge of its rightful role as the vanguard to lead humanity to greater liberty and civilization?
4. How long our intelligentsia (scientists included) going to remain in their ivory towers; preaching vacuous wisdom and engaged in scholasticism and wage slavery?
5. Is the out pour of compassion around the globe from spontaneously evolving and organized groups and individuals (some even of privileged positions) who are reaching out to others in need, even at the risk to themselves; just a temporary phenomenon, or is it going develop into permanent and large active centers for changing the world?
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Years of profit centered policies weakened our capacity to tackle such pandemic. But hope the world will change after the catastrophic event for the survivors . You may get some insights from these popular articles:
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I am working on project "measuring effectiveness of social media on consumer behaviour towards durable products. " please provide some input
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Social media can complement other marketing tools to create that reliability which is required for a durable product.
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innovation in fishing and aquaculture for direct human consumption, direct problems, suggestions for hypotheses?
In my city, there is a high rate of anemia in children, which is very worrying. The issue of creating food alternatives in high concentrations of iron is not enough, the consumer must feel the product is pleasant.
suggestions
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In my opinion, the cause of anemia needs to be investigated first. If children have anemia in general, this may not be caused by nutrition. First of all, intestinal parasites should be investigated (threadworm, tapeworms, taeniae, etc.). If this is not an issue, it should be investigated what prevents iron absorption. In addition to seafood, green vegetables and dried legumes are also important sources of iron. But first, the source of the problem should be determined.
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Let us assume a 33/0.415kV or a 11/0.415kV transformer is metered at a distribution substation. There are N number of houses connected to transformer. The houses are located at distances 1<x<10units from the transformer.
If loads have been dropped on houses 1 to 5, what parameter(s) can be obtained from the line itself (and not the consumer premise meters) between house 5 and house 6 to help determine the available power left.
I'm interested in line parameters for a monitoring ststem program
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At constant power factor and voltage the power consumed could be measured by current flowing in line, using clip on mete. If total KVA are known with rated power factor and voltage, total availability of loading(amp) could be obtained. If current is reduced in houses 1to5 house 6 could have more load equal to 5 times the reduced current in house 1 to 5.
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I want a topic related to marketing, emotional ads, consumer mind, in which the data collection becomes easier. So I can make my framework in 2 weeks, kindly help me in getting articles and topics & also share with me some questionnaires.
Thanks
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Thank you Mam, for your suggestion Mubina Khondkar :)
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Marketplaces have information about 'real and genuine' transactions of buyers and seller - can this be used to raise financing from Banks and other financial institutions - both for consumer and corporate credit?
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Hi Angel.. the idea is to be able to use information on transactions of buyers and seller to raise buyer and seller finance from banks. Banks do not have access to real information on transactions except through documents like LCs, BGs, etc. other financial instruments to understand the transactional history hence credit quality of the borrower. If the banks can access marketplace information from the marketplace operators, this information can become a basis of extending short-term credit to companies or individuals that transact on this platform.Short term credit extended by banks to businesses specially micro-finance is primarily just based on unverifiable information but marketplaces provide a unbiased, credible and quality information on transactional history and hence capacity of borrowers.
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green consumer /sustainable consumer data/index?
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Dear Grace,
You could try - Natural Marketing Institute (NMI)'s annual research studies , Lifestyles Of Health And Sustainability (LOHAS) Consumer Trends Database.
Best Wishes,
Suja R. Nair
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Hello RG community,
I am looking for a reflective scale to measure (general) perceived benefits.
There are some formative sales, e.g. in Forsythe, S., Liu, C., Shannon, D., & Gardner, L. C. (2006). Development of a scale to measure the perceived benefits and risks of online shopping. Journal of interactive marketing, 20(2), 55-75. But these scales are content-related, e.g., online shopping.
There are also a lot of reflective scales to measure perceived risks, for example:
1.      Would be risky.
2.      Can lead to bad results.
3.      Can have uncertain outcomes.
4.      Would make me feel anxious.
5.      Would cause me to worry.
Source: Thelen, S. T., Yoo, B., & Magnini, V. P. (2011). An examination of consumer sentiment toward offshored services. Journal of the Academy of Marketing Science, 39(2), 270-289.
However, I do not find a scale to measure the opposite, i.e., pereceived benefits (in general).
Thanks
Gerhard
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Yes there are reflective scales on perceived benefits.A efa cfa and chronbach can only be done on a reflexive scale and not on a formative one