SQB -- A Research on Its Applications and The Correlating Mechanism

Shiyi Lu

doi:10.54097/hbem.v21i.14340

Authors

Shiyi Lu

DOI:

https://doi.org/10.54097/hbem.v21i.14340

Keywords:

literature review, Status Quo Bias, technology resistance, quantitative study, behavioral economics.

Abstract

After several former studies on the cognitive heuristics and correlating economical influences, the explanatory effectiveness of SQB perspective is explained by multiple empirical scenarios. Hence, this essay will focus on three applications in which the SQB perspective, correlating models and research methods would provide insightful opinions. After reviewing the former attempts on the original model and early researchers’ empirical examination on the Status Quo Bias (SQB), this essay will concentrate on SQB and technology resistance among the public sector employees, SQB and medical insurance outcomes, SQB and shoppers’ online shopping resistance respectively. For each application, research methodology will be explained and be integrated into the SQB perspective through the research question. Through researching on these applications’ methodology and main studies, discussing cognitive biases existing in the empirical scenarios, the present study could approach to the efficiency of the explanation from SQB perspective.

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References

Samuelson W, Zeckhauser R SQB in decision making. J Risk Uncertain .1988, 1(1):7–59

Kim HW, Kankanhalli A Investigating user resistance to information systems implementation: a SQB perspective. MIS Q.2009, 33(3):567–582

Arkes HR, Blumer C The psychology of sunk cost. Organ Behav Hum Decis Process.1985, 35(1):124–140

Kahneman D, Tversky A Prospect theory: an analysis of decision under risk. Econometrica.1979, 47(2):263

Oschinsky, F. M., Stelter, A., & Niehaves, B... (2021). Cognitive biases in the digital age – how resolving the status quo bias enables public-sector employees to overcome restraint. Government Information Quarterly (8), 101611.

Tversky, A.; Kahneman, D. Rational choice and the framing of decisions. J. Bus. 1986, 59, 251–278.

Holt, C.A.; Laury, S.K. Risk aversion and incentive effects. Am. Econ. Rev. 2002, 92, 1644–1655.

Holt, C.A.; Laury, S.K. Risk aversion and incentive effects, new data without order effects. Am.Econ. Rev. 2005, 95, 902–912

Harrison, G.W.; List, J.A.; Towe, C. Naturally occurring preferences and exogenous laboratory experiments. A case study of risk aversion. Econometrica 2007, 75, 433–458.

Liang, H., Saraf, N., Hu, Q. and Xue, Y., “Assimilation of enterprise systems: the effect ofinstitutional pressures and the mediating role of top management”, MIS Quarterly, Vol. 31 No. 1, 2007. 59-87.

Blumberg, B., Cooper, D.R. and Schindler, P.S., Business Research Methods, McGraw-Hill Higher Education, London. 2008

Krieger M, Felder S. Can Decision Biases Improve Insurance Outcomes? An Experiment on Status Quo Bias in Health Insurance Choice. International Journal of Environmental Research and Public Health. 2013; 10(6):2560-2577.