Antecedents of Representative Bias and Choice Decision: A Case of Major Cities of Pakistan
DOI:
https://doi.org/10.56976/rjsi.v6i3.276Keywords:
Representative Bias, Portfolio Choice DecisionAbstract
The main theme behind this study was to identify the factors that generate the representative bias phenomenon among individuals as because of this phenomenon people usually make irrational buying decisions. Representative bias, sometimes referred to as the representativeness heuristic, is when we base our conclusions or judgments on how individuals or circumstances conform to a specific prototype or stereotype. Representative bias causes individual to categorize a situation on the basis of a pattern of earlier practices or opinions regarding the situation. It can be valuable when trying to make a rapid decision but it can also be restraining as it leads to close-mindedness for instance in stereotypes. For this study, semi-structured discussions with the professional people of major cities of Pakistan who are habitual in terms of shopping, and then reconfirm the answers by matching with existing literature and apply NVivo on their brief results to get a word-cloud for presuming the sure antecedents of representative bias, and check the context and content validity of the established scale by approving the scale subsequently the authorization of 5 language and 5 market experts. A self-developed semi-structured scale was used for data collection. The main population for this study was the professional people of major cities of Punjab who are habitual in terms of shopping. The conclusion of the study demonstrates that “choice of alternatives, environmental fluctuations, & own perception” are the variables that strongly generates the representative bias phenomenon in any individual.
References
Adamowicz, W., Hanemann, M., Swait, J., Johnson, R., Layton, D., Regenwetter, M., & Sorkin, R. (2005). Decision strategy and structure in households: A “groups” perspective. Marketing Letters, 16(3-4), 387-399.
Ainslie, A., & Rossi, P. E. (1998). Similarities in choice behavior across product categories. Marketing Science, 17(2), 91-106.
Albert, M. (2007). The propensity theory: a decision-theoretic restatement. Synthese, 156(3), 587-603.
Albert, N., & Thomson, M. (2024). Epistemological jangle and jingle fallacies in the consumer–brand relationship subfield: A call to action. Journal of Consumer Research, 51(2), 383-407.
Arvidsson, H. G., Coudounaris, D. N., & Arvidsson, R. (2020). The shift from causation to effectuation for international entrepreneurs: Attitudes and attitude change versus social representations. International Journal of Entrepreneurship, 24(3), 1-23.
Barron, G., & Ursino, G. (2013). Underweighting rare events in experience-based decisions: Beyond sample error. Journal of Economic Psychology,39, 278-286.
Bellemare, C., Kröger, S., & van Soest, A. (2011). Preferences, intentions, and expectation violations: A large-scale experiment with a representative subject pool. Journal of Economic Behavior & Organization, 78(3), 349-365.
Ben-Akiva, M., McFadden, D., Abe, M., Böckenholt, U., Bolduc, D., Gopinath, D., ... & Steinberg, D. (1997). Modeling methods for discrete choice analysis. Marketing Letters, 8(3), 273-286.
Boulding, W., Moore, M. C., Staelin, R., Corfman, K. P., Dickson, P. R., Fitzsimons, G., ... & Weitz, B. A. (1994). Understanding managers' strategic decision-making process. Marketing Letters, 5(4), 413-426.
Buckley, P. J., Devinney, T. M., & Louviere, J. J. (2007). Do managers behave the way theory suggests? A choice-theoretic examination of foreign direct investment location decision-making. Journal of International Business Studies, 38(7), 1069-1094.
Chambers, C. P., & Hayashi, T. (2012). Choice and individual welfare. Journal of Economic Theory, 147(5), 1818-1849.
Didier, T., & Lowenkron, A. (2009). The current account as a dynamic portfolio choice problem. World Bank Policy Research Working Paper Series, Vol.
Durbach, I. N., & Stewart, T. J. (2020). Probability and beyond: including uncertainties in decision analysis. Behavioral Operational Research: A Capabilities Approach, 75-91.
Elbanna, S., & Child, J. (2007). Influences on strategic decision effectiveness: Development and test of an integrative model. Strategic Management Journal, 28(4), 431-453.
Gigerenzer, G., Reb, J., & Luan, S. (2022). Smart heuristics for individuals, teams, and organizations. Annual Review of Organizational Psychology and Organizational Behavior, 9(1), 171-198.
Gilbride, T. J., & Allenby, G. M. (2004). A choice model with conjunctive, disjunctive, and compensatory screening rules. Marketing Science, 23(3), 391-406.
Gudmundsson, S. V., & Lechner, C. (2013). Cognitive biases, organization, and entrepreneurial firm survival. European Management Journal, 31(3), 278-294.
Hayibor, S., & Wasieleski, D. M. (2009). Effects of the use of the availability heuristic on ethical decision-making in organizations. Journal of Business Ethics, 84(1), 151-165.
Huck, N., Mavoori, H., & Mesly, O. (2020). The rationality of irrationality in times of financial crises. Economic Modelling, 89, 337-350.
Johnson, E. J., & Schkade, D. A. (1989). Bias in utility assessments: Further evidence and explanations. Management science, 35(4), 406-424.
Keren, G., & Breugelmans, S. M. (2020). Simplifying and facilitating comprehension: The “as if” heuristic and its implications for psychological science. Review of General Psychology, 24(4), 397-411.
Korhonen, P. J., & Wallenius, J. (2020). Making better decisions. Springer International Publishing.
Krämer, J., & Wiewiorra, L. (2012). Beyond the flat rate bias: The flexibility effect in tariff choice. Telecommunications Policy, 36(1), 29-39.
Lambert, J., Bessière, V., & N’Goala, G. (2012). Does expertise influence the impact of overconfidence on judgment, valuation and investment decision?. Journal of economic psychology, 33(6), 1115-1128.
Levine, D. N. (2022). The flight from ambiguity: Essays in social and cultural theory. University of Chicago Press.
Lynch, M., Kidd, T., & Shaw, E. (2022). The subtle effects of implicit bias instructions. Law & Policy, 44(1), 98-124.
Magi, A. (2009). Portfolio choice, behavioral preferences and equity home bias. The Quarterly Review of Economics and Finance, 49(2), 501-520.
McFadden, D. (1986). The choice theory approach to market research. Marketing science, 5(4), 275-297.
McShane, M., Nirenburg, S., & Jarrell, B. (2013). Modeling decision-making biases. Biologically Inspired Cognitive Architectures, 3, 39-50.
Militana, E., Wolfson, E., & Cleaveland, J. M. (2010). An effect of inter-trial duration on the gambler's fallacy choice bias. Behavioural processes, 84(1), 455-459.
Montibeller, G., & von Winterfeldt, D. (2024). Behavioral Decision Research: Descriptive and Prescriptive Perspectives. In Behavioral Decision Analysis (pp. 15-40). Cham: Springer International Publishing.
Moore, P. G. (1977). The manager's struggles with uncertainty. Journal of the Royal Statistical Society. Series A (General), 129-165.
Parveen, S., Satti, Z. W., Subhan, Q. A., & Jamil, S. (2020). Exploring market overreaction, investors’ sentiments and investment decisions in an emerging stock market. Borsa Istanbul Review, 20(3), 224-235.
Putler, D. S. (1992). Incorporating reference price effects into a theory of consumer choice. Marketing Science, 11(3), 287-309.
Reckless, G. E., Bolstad, I., Nakstad, P. H., Andreassen, O. A., & Jensen, J. (2013). Motivation alters response bias and neural activation patterns in a perceptual decision-making task. Neuroscience, 238, 135-147.
Rosness, R. (2009). A Contingency model of decision-making involving risk of accidental loss. Safety Science, 47(6), 807-812.
Silverman, B. G. (1994). Unifying expert systems and the decision sciences. Operations Research, 42(3), 393-413.
Spassova, G., & Isen, A. M. (2013). Positive affect moderates the impact of assortment size on choice satisfaction. Journal of Retailing, 89(4), 397-408.
Stern, P. (2024). The schizophrenic psychosis decoded: Confessions and insights of someone affected. BoD–Books on Demand.
Stewart, T. J., French, S., & Rios, J. (2013). Integrating multicriteria decision analysis and scenario planning—Review and extension. Omega, 41(4), 679-688.
Sulasih, S., & Adawiyah, W. R. (2021). Marketing strategy implementation, system managers adapt and reshape business strategy for pandemic. Perwira International Journal of Economics & Business, 1(1), 8-18.
Swami, S. (2013). Executive functions and decision making: A managerial review. IIMB Management Review, 25(4), 203-212
Takemura, K. (2021). Behavioral decision theory. Springer Singapore.
Tuu, H. H., Khoi, N. H., & Olsen, S. O. (2021). How consumer innovativeness, technological expertise, and consideration set size can explain mobile commerce use: An extended understanding using a moderation–mediation model. Information Systems and e-Business Management, 19, 1015-1038.
Verstraeten, G., & Van den Poel, D. (2005). The impact of sample bias on consumer credit scoring performance and profitability. Journal of the operational research society, 56(8), 981-992.
Wamhoff, L., & Baumgartner, B. (2024). Too much, too little? A CBC approach accounting for screening from both sides. Journal of Choice Modelling, 53, 100508.
Wykowska, A., Kopp, S., & Perez-Osorio, J. (2020). The role and relationship of mindreading and social attunement in HRI: position statements of interdisciplinary researchers. In Workshop HRI (Vol. 20).
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