IDEAS home Printed from https://ideas.repec.org/a/bas/econth/y2021i6p61-73.html
   My bibliography  Save this article

An examination of attitudes in some widespread models of consumer behaviour

Author

Listed:
  • Andrey Minchev

Abstract

In Marketing, the study of consumer attitudes as psychological variables, primarily related to the purchasing behaviours, is of main importance for predicting and influencing consumers’ behaviours. The purpose of the study is to summarize the formation and impact of consumer attitudes on purchasing decisions, including the internal and external factors that influence attitudes in some of the classic behavioural models. The analysis is focused on the attitudes considered in these models, based on which their main characteristics are derived and presented in tabular form. The suggested findings contribute to a fuller explanation of the role of attitudes in consumers’ behaviour and their importance in purchasing decisions, respectively.

Suggested Citation

  • Andrey Minchev, 2021. "An examination of attitudes in some widespread models of consumer behaviour," Economic Thought journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 6, pages 61-73.
    • Handle: RePEc:bas:econth:y:2021:i:6:p:61-73
    as

    Download full text from publisher

    File URL: https://etj.iki.bas.bg/storage/app/uploads/public/629/728/44c/62972844cd3b8319119931.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    2. Oliver, Richard L & Bearden, William O, 1985. "Crossover Effects in the Theory of Reasoned Action: A Moderating Influence Attempt," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 324-340, December.
    3. Cheolho Yoon, 2011. "Theory of Planned Behavior and Ethics Theory in Digital Piracy: An Integrated Model," Journal of Business Ethics, Springer, vol. 100(3), pages 405-417, May.
    4. Bagozzi, Richard P & Baumgartner, Hans & Yi, Youjae, 1992. "State versus Action Orientation and the Theory of Reasoned Action: An Application to Coupon Usage," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 18(4), pages 505-518, March.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    2. Dickinger, Astrid & Kleijnen, Mirella, 2008. "Coupons going wireless: Determinants of consumer intentions to redeem mobile coupons," Journal of Interactive Marketing, Elsevier, vol. 22(3), pages 23-39.
    3. Han, Heesup & Hsu, Li-Tzang (Jane) & Sheu, Chwen, 2010. "Application of the Theory of Planned Behavior to green hotel choice: Testing the effect of environmental friendly activities," Tourism Management, Elsevier, vol. 31(3), pages 325-334.
    4. Yang, Kiseol, 2012. "Consumer technology traits in determining mobile shopping adoption: An application of the extended theory of planned behavior," Journal of Retailing and Consumer Services, Elsevier, vol. 19(5), pages 484-491.
    5. Leung, Larry Sau Kei & Matanda, Margaret J., 2013. "The impact of basic human needs on the use of retailing self-service technologies: A study of self-determination theory," Journal of Retailing and Consumer Services, Elsevier, vol. 20(6), pages 549-559.
    6. Kamran Mukhtiar & Nafees Asmat & Muhammad Arshad & Muhammad Aftab Ali & Hammad Ali Lodhi & Ather Waqas, 2013. "Complaint Intentions of Consumers of Pakistan Restaurant Industry," International Journal of Learning and Development, Macrothink Institute, vol. 3(6), pages 153-166, December.
    7. Kulviwat, Songpol & Bruner II, Gordon C. & Al-Shuridah, Obaid, 2009. "The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption," Journal of Business Research, Elsevier, vol. 62(7), pages 706-712, July.
    8. Sung S. Kim & Naresh K. Malhotra, 2005. "A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena," Management Science, INFORMS, vol. 51(5), pages 741-755, May.
    9. Syed Shah Alam & Maisarah Ahmad & Abdullah Sanusi Othman & Zullina Bt Hussain Shaari & Mohammad Masukujjaman, 2021. "Factors Affecting Photovoltaic Solar Technology Usage Intention among Households in Malaysia: Model Integration and Empirical Validation," Sustainability, MDPI, vol. 13(4), pages 1-20, February.
    10. Venkatesh, Viswanath & Morris, Michael G. & Ackerman, Phillip L., 2000. "A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 33-60, September.
    11. Bilgihan, Anil & Madanoglu, Melih & Ricci, Peter, 2016. "Service attributes as drivers of behavioral loyalty in casinos: The mediating effect of attitudinal loyalty," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 14-21.
    12. Agumas Alamirew Mebratu, 2024. "Theoretical foundations of voluntary tax compliance: evidence from a developing country," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-8, December.
    13. Hasan, Rajibul & Lowe, Ben & Petrovici, Dan, 2020. "Consumer adoption of pro-poor service innovations in subsistence marketplaces," Journal of Business Research, Elsevier, vol. 121(C), pages 461-475.
    14. Issa Mohamed Al Dafaei & Zurida Ismail & Mohd Ali Samsudin & Firas Jalal Shakir, 2013. "The Mediating Effect of Self-Efficacy towards the Relationship Between Attitudes And Level of Use Towards Instructional Computer Technology in Oman," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 3(12), pages 2382-2398, December.
    15. Appleyard, Mathew, 2015. "Corporate responses to online music piracy: Strategic lessons for the challenge of additive manufacturing," Business Horizons, Elsevier, vol. 58(1), pages 69-76.
    16. Nicole D. Sintov & P. Wesley Schultz, 2017. "Adjustable Green Defaults Can Help Make Smart Homes More Sustainable," Sustainability, MDPI, vol. 9(4), pages 1-12, April.
    17. Cristopher Siegfried Kopplin, 2021. "Two heads are better than one: matchmaking tools in coworking spaces," Review of Managerial Science, Springer, vol. 15(4), pages 1045-1069, May.
    18. Venkatesh, Viswanath & Maruping, Likoebe M. & Brown, Susan A., 2006. "Role of time in self-prediction of behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 100(2), pages 160-176, July.
    19. Garima Malik & A. Sajeevan Rao, 2019. "Extended expectation-confirmation model to predict continued usage of ODR/ride hailing apps: role of perceived value and self-efficacy," Information Technology & Tourism, Springer, vol. 21(4), pages 461-482, December.
    20. Xu, Yingjiao & Summers, Teresa A. & Belleau, Bonnie D., 2004. "Who buys American alligator?: Predicting purchase intention of a controversial product," Journal of Business Research, Elsevier, vol. 57(10), pages 1189-1198, October.

    More about this item

    JEL classification:

    • D9 - Microeconomics - - Micro-Based Behavioral Economics
    • D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
    • D12 - Microeconomics - - Household Behavior - - - Consumer Economics: Empirical Analysis
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:bas:econth:y:2021:i:6:p:61-73. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Diana Dimitrova (email available below). General contact details of provider: https://edirc.repec.org/data/ikbasbg.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.