The Interplay of Monetary Rewards, Expectations, and Ideation Quality: An Empirical Analysis

Document Type : Research Paper

Authors

1 Department of Technology Entrepreneurship, Faculty of Entrepreneurship, University of Tehran, Tehran, Iran

2 Faculty of Entrepreneurship

3 Department of Machine Intelligence and Robotics, Faculty of Electrical and Computer Engineering, University of Tehran, Tehran, Iran.

4 3. Department of Corporate Entrepreneurship, Faculty of Entrepreneurship, University of Tehran, Tehran, Iran

10.22059/jed.2023.360337.654210

Abstract

Objective: This research aims to delve into the intricate relationship between monetary rewards, expectations, and the quality of ideation. Traditional views in economics and management often posit a direct, positive correlation between monetary incentives and improved performance outcomes. However, recent insights from behavioral economics suggest this relationship may be more complex than previously understood. The primary purpose of this study is to explore how monetary rewards influence the quality of ideation, particularly in a professional setting, and to examine the mediating role of expectations in this dynamic. The study seeks to bridge the gap in understanding how reward systems impact creative ideation and whether expectations alter this impact.
 
Method: The methodology adopted for this study is experimental in nature, involving a sample of 109 professionals from the information and communication technology sector in China. Participants were engaged in a computerized ideation test; wherein monetary bonuses were awarded at random intervals. The design of the experiment was rooted in Gassmann's business model, which provided a structured framework for idea generation and assessment.
To collect data, a comprehensive questionnaire was used to gather demographic and control variable information from participants. This was followed by the ideation process, where participants' ideas were evaluated based on originality, novelty, feasibility, and potential economic value, using a 7-point Likert scale. The experts involved in the evaluation process ensured a robust assessment of ideation quality.
The research employed a post-test method to mitigate potential biases such as training and fatigue effects, commonly observed in within-subject designs. A between-subjects design was chosen to further minimize confounding factors, ensuring any observed differences in ideation quality were attributable to the intervention (monetary rewards).
Data analysis was conducted using SmartPLS software, utilizing Partial Least Squares (PLS) path modeling. This advanced statistical technique is particularly suited for new technology research due to its ability to model composites and factors, account for various forms of measurement error, and test entire theories.
 
Results: The study’s findings present a nuanced view of the relationship between monetary rewards, expectations, and ideation quality. Key results include:
Negative Correlation Between Reward and Ideation Quality: A significant, negative correlation was observed between monetary rewards and the quality of ideation, contradicting many traditional economic theories. This suggests that higher levels of monetary rewards are associated with lower levels of ideation quality.
Role of Expectation as a Mediator: Expectation emerged as a crucial mediating factor in the reward-ideation quality relationship. While the indirect relationship through expectation was found to be weak, its presence induced significant changes in the direct path between reward and ideation quality.
Statistical Significance and Practical Implications: The R2 value for ideation quality was found to be 0.263, indicating that a significant portion of the variance in ideation quality is explained by the independent variables in the model. This finding has substantial implications for human resource practices in organizations, especially in technology-driven industries.
 
Conclusion: In conclusion, this study offers significant insights into the complex dynamics of monetary rewards, expectations, and ideation quality. It challenges the conventional wisdom that monetary rewards invariably lead to improved performance, particularly in creative tasks. The findings underscore the importance of understanding the psychological and behavioral nuances that govern employee motivation and performance, especially in contexts where creativity and innovation are crucial.
The study suggests that organizations need to rethink their reward structures, considering the potential demotivating effects of monetary incentives on creative performance. A more holistic approach, acknowledging the role of expectations and intrinsic motivation, may be more effective in fostering a conducive environment for innovation. This research opens avenues for further exploration into how best to structure reward systems that enhance, rather than inhibit, creative ideation and performance.

Keywords

Main Subjects


اعتمادی، محمد، چیت ساز، احسان، و قدرتی زاده، فراز. (1402). پارادوکس پاداش: بازنگری در رابطه رضایت و عملکرد ایده‌ پردازی کارکنان. مدیریت منابع انسانی پایدار، 6 (12)، -. doi: 10.22080/shrm.2024.4599
قدرتی‌زاده، فراز؛ چیت‌ساز، احسان و رستمی، رضا (1401). بررسی اثر‌های پاداش‌های مالی پیاپی بر عملکرد ایده‌پردازی کارکنان در صنعت فناوری اطلاعات‌وارتباطات کشور چین. پژوهش های مدیریت منابع سازمانی. ۱۲ (۳)، ۱۵۳-۱۹۰
 
References 
Adams, J. S. (1965). Inequity In Social Exchange. Advances in Experimental Social Psychology, 2(C). https://doi.org/10.1016/S0065-2601(08)60108-2
Adams, S. J. (1963). Toward and Understanding of Inequity. Journal of Abnormal Psychology, 67(5 ).
Allais, M., Hagen, O., & eds. (1979). Expected Utility Hypotheses and the Allais Paradox. In Expected Utility Hypotheses and the Allais Paradox . https://doi.org/10.1007/978-94-015-7629-1
Amabile, T. M. (1997). Motivating creativity in organizations: On doing what you love and loving what you do. California Management Review, 1. https ://doi.org/10.2307/41165921
Amabile, T. M. (2013). Componential Theory of Creativity. Encyclopedia of Management Theory.
Amabile, T. M., Hill, K. G., Hennessey, B. A., & Tighe, E. M. (1994). The Work Preference Inventory: Assessing Intrinsic and Extrinsic Motivational Orientations. Journal of Personality and Social Psychology, 66(5). https://doi.org/10.1037/0022-3514.66.5.950
Bakdash, J. Z., & Marusich, L. R. (2017). Repeated measures correlation. Frontiers in Psychology, 8(MAR). https://doi.org/10.3389/fpsyg.2017.00456
Benedek, M., Bruckdorfer, R., & Jauk, E. (2020). Motives for Creativity: Exploring the What and Why of Everyday Creativity. Journal of Creative Behavior, 54(3). https://doi.org/10.1002/jocb.396
Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2). https://doi.org/10.1037/0033-2909.107.2.238
BLS. (2022). Employer Costs for Employee Compensation for the Regions – March 2022 : Southwest Information Office : U.S. Bureau of Labor Statistics. https://www.bls.gov/regions/southwest/news-release/employercostsforemployeecompensation_regions.htm
Boudon, R. (2003). Beyond Rational Choice Theory. In Annual Review of Sociology (29). https://doi.org/10.1146/annurev.soc.29.010202.100213
Browning, G., Halcli, A., & Webster, F. (2012). Understanding Contemporary Society: Theories of the Present. In Understanding Contemporary Society: Theories of the Present . https://doi.org/10.4135/9781446218310
Condrey, S. E., & Perry, J. L. (2005). Handbook of human resource management in government. Jossey-Bass.
Crawford, J. L., Yee, D. M., Hallenbeck, H. W., Naumann, A., Shapiro, K., Thompson, R. J., & Braver, T. S. (2020). Dissociable Effects of Monetary, Liquid, and Social Incentives on Motivation and Cognitive Control. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.02212
Davis, K., & Moore, W. E. (2018). Some principles of stratification. In Inequality: Classic Readings in Race, Class, and Gender . https://doi.org/10.4324/9780429494468-2
de Waal, A., & Jansen, P. (2013). The bonus as hygiene factor: the role of reward systems in the high performance organization. Evidence-Based HRM, 1(1). https://doi.org/10.1108/20493981311318601
Dean, D. L., Hender, J. M., Rodgers, T. L., & Santanen, E. L. (2006). Identifying Good Ideas: Constructs and Scales for Idea Evaluation. Journal of Association for Information Systems, 10(7 ).
Deci, E. L. (1971). Effects of externally mediated rewards on intrinsic motivation. Journal of Personality and Social Psychology, 18(1). https://doi.org/10.1037/h0030644
Deci, E. L., & Ryan, R. M. (1985). Intrinsic Motivation and Self-Determination in Human Behavior. In Intrinsic Motivation and Self-Determination in Human Behavior. https ://doi.org/10.1007/978-1-4899-2271-7
Deci, E. L., & Ryan, R. M. (2008). Self-determination theory: A macrotheory of human motivation, development, and health. Canadian Psychology, 49(3). https://doi.org/10.1037/a0012801
Deci, E. L., Ryan, R. M., & Koestner, R. (1999). A meta-analytic review of experiments examining the effects of extrinsic rewards on intrinsic motivation. In Psychological Bulletin. 125 (6). https://doi.org/10.1037/0033-2909.125.6.627
Dijkstra, T. K., & Henseler, J. (2015a). Consistent and asymptotically normal PLS estimators for linear structural equations. Computational Statistics and Data Analysis, 81. https://doi.org/10.1016/j.csda.2014.07.008
Dijkstra, T. K., & Henseler, J. (2015b). Consistent partial least squares path modeling. In MIS Quarterly: Management Information Systems .39 (2). https://doi.org/10.25300/MISQ/2015/39.2.02
Eccles, J. S., Adler, T., Futterman, R., Goff, S. B., Kaczala, C. M., Meece, J. L., & Midgley, C. (1983). Expectancies, Values, and Academic Behaviors. In Achievement and achievement motivation.
Eisenberger, R., Armeli, S., & Pretz, J. (1998). Can the Promise of Reward Increase Creativity? Journal of Personality and Social Psychology, 74(3). https://doi.org/10.1037/0022-3514.74.3.704
Ellen Amster, S. (1994). Harvard Education Publishing Group. https://www.hepg.org/hel-home/issues/10_2/helarticle/the-case-against-rewards-and-praise
Etemadi, M., Chitsaz, E., & Abolghasemi Dehaqani, M. (2023a). The Myth of Rewards and Creative Performance: Should Companies Use Incentives to Boost Creativity in Personnel Performance? 3rd Iran Business Watch Conference 1402. https://doi.org/10.2139/SSRN.4550849
Etemadi, M., Chitsaz, E., & Abolghasemi Dehaqani, M. (2023b). Unveiling the Complexity of the Reward, Creativity, and Performance Relationship: When Does Behavioral Theories Reward Backfire? 3rd Iran Business Watch Conference, 2023. https://doi.org/https://doi.org/10.2139/SSRN.4550749
Etemadi, M., Chitsaz, E., & Ghodratizahed, F. (2024). The Paradox of Rewards: Reconsidering Employee Satisfaction and Ideation Performance. Journal of Sustainable Human Resource Management, 6(10). https://doi.org/10.22080/SHRM.2024.4599
Fehr, E., & Gächter, S. (2005). Do Incentive Contracts Undermine Voluntary Cooperation? SSRN Electronic Journal . https://doi.org/10.2139/ssrn.313028
Fibirova, J., & Petera, P. (2013). Profit-Sharing – A Tool for Improving Productivity, Profitability and Competitiveness of Firms? Journal of Competitiveness, 5(4), 3–25. https://doi.org/10.7441/joc.2013.04.01
Gallus, J., Reiff, J., Kamenica, E., & Fiske, A. P. (2022). Relational Incentives Theory. Psychological Review, 129(3 ). https://doi.org/10.1037/rev0000336
Gassmann Oliver, Frankenberger Karolin, & Csik Michaela. (2014). The Business Model Navigator Testimonials. 55 Models That Will Revolutionise Your Business. Pearson Education Limited.
Ghodratizadeh, F., Chitsaz, E., & Rostami, R. (2022). investigating on the effects of continuous financial rewards on the performance of employees’idea generation in the ict industry of china. Organizational Resources Management Researchs. https://scholar.google.com/citations?view_op=view_citation&hl=en&user=mYiGDXwAAAAJ&citation_for_view=mYiGDXwAAAAJ:2osOgNQ5qMEC
Hair, J., Black, W., Babin, B., & Anderson, R. (2010). Multivariate Data Analysis: A Global Perspective. In Multivariate Data Analysis: A Global Perspective (Vol. 7th).
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS path modeling in new technology research: Updated guidelines. Industrial Management and Data Systems, 116(1). https://doi.org/10.1108/IMDS-09-2015-0382
Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1). https://doi.org/10.1007/s11747-014-0403-8
Himmelstein, D. U., Ariely, D., & Woolhandler, S. (2014). Pay-for-performance: Toxic to quality insights from behavioral economics. International Journal of Health Services, 44(2). https://doi.org/10.2190/HS.44.2.a
Hofstetter, R., Zhang, J. Z., & Herrmann, A. (2018). Successive Open Innovation Contests and Incentives: Winner-Take-All or Multiple Prizes? Journal of Product Innovation Management, 35(4). https://doi.org/10.1111/jpim.12424
Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6(1). https://doi.org/10.1080/10705519909540118
Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk Daniel Kahneman; Amos Tversky. Econometrica, 47(2 ).
Kahneman, D., & Tversky, A. (2018). Prospect theory: An analysis of decision under risk. In Experiments in Environmental Economics. (1). https://doi.org/10.2307/1914185
Kier, A. S., & McMullen, J. S. (2018). Entrepreneurial imaginativeness in new venture ideation. Academy of Management Journal, 61(6).https://doi.org/10.5465/amj.2017.0395
Kollmann, T., Stöckmann, C., Kensbock, J. M., & Peschl, A. (2020). What satisfies younger versus older employees, and why? An aging perspective on equity theory to explain interactive effects of employee age, monetary rewards, and task contributions on job satisfaction. Human Resource Management, 59(1). https://doi.org/10.1002/hrm.21981
Levin, J., & Milgrom, p. (2003). Introduction to choice theory. Academia.Edu. https://www.academia.edu/download/51415678/Choice_Theory.pdf
Lunenburg, F. C. (2011). Expectancy Theory of Motivation : Motivating by Altering Expectations. International Journal of Business Administration, 15(1 ).
Malik, M. A. R., Butt, A. N., & Choi, J. N. (2015). Rewards and employee creative performance: Moderating effects of creative self-efficacy, reward importance, and locus of control. Journal of Organizational Behavior, 36(1), 59–74. https://doi.org/10.1002/job.1943
Murayama, K., Matsumoto, M., Izuma, K., & Matsumoto, K. (2010). Neural basis of the undermining effect of monetary reward on intrinsic motivation. Proceedings of the National Academy of Sciences of the United States of America, 107(49). https://doi.org/10.1073/pnas.1013305107
NobelPrize. (2023). Popular Information. NobelPrize.Org. Nobel Prize. https://www.nobelprize.org/prizes/economic-sciences/2002/popular-information/
Oberhelman DD. (2001). Stanford Encyclopedia of Philosophy. Reference Reviews, 15(6). https://doi.org/10.1108/rr.2001.15.6.9.311
Parijat, P., & Bagga, S. (2014). Victor Vroom’s Expectancy Theory of Motivation - An evaluation. International Research Journal of Business and Management, 7(9).
Peters, R. S. (2018). Drive Theories. In The Concept of Motivation   . 95–129. Routledge. https://doi.org/10.4324/9781315712833-4
Reeve, J. (2012). A self-determination theory perspective on student engagement. In Handbook of Research on Student Engagement . https://doi.org/10.1007/978-1-4614-2018-7_7
Renz, K. E., Pillny, M., & Lincoln, T. M. (2022). Increasing motivation in effort-based decision-making tasks: effects of salience and reward expectancy manipulations. Cognitive Neuropsychiatry, 27(1). https://doi.org/10.1080/13546805.2021.2007068
Richard M. Ryan, & Deci, E. L. (2009). Intrinsic and Extrinsic Motivations: Classic Definitions and New Direction. Contemporary Educational Psychology 25, 54–67. Academy of Management Learning and Education, 8(2).
Ringle, C. M. , W. S. & B. J.-M. (2022). SmartPLS 4. SmartPLS. https://www.smartpls.com
Ryan, R. M., & Deci, E. L. (1985). The “third selective paradigm” and the role of human motivation in cultural and biological selection: A response to Csikszentmihalyi and Massimini. New Ideas in Psychology, 3(3 ). https://doi.org/10.1016/0732-118X(85)90020-0
Ryan, R. M., & Deci, E. L. (2000). Self-determination theory and the facilitation of intrinsic motivation, social development, and well-being. American Psychologist, 55(1). https ://doi.org/10.1037/0003-066X.55.1.68
Schmitz, L., Bijleveld, E., & Veling, H. (2020). Cognitive labor shapes the desire for social and monetary compensation. Motivation and Emotion, 44(6 ). https://doi.org/10.1007/s11031-020-09856-0
Schultz, W. (2015). Neuronal reward and decision signals: From theories to data. Physiological Reviews, 95(3). https ://doi.org/10.1152/physrev.00023.2014
Selten, R. (1998). Aspiration Adaptation Theory. Journal of Mathematical Psychology, 42(2–3 ). https://doi.org/10.1006/jmps.1997.1205
Selten, R. (2001). What Is Bounded Rationality ? Bounded Rationality The Adaptive Toolbox, May.
Simon, H. A. (1954). Some strategic considerations in the construction of social science models. In Mathematical thinking in the social sciences .
Skinner, B. F. (1938). The behavior of organisms: an experimental analysis. Appleton-Century. New York.
Thibault Landry, A., Zhang, Y., Papachristopoulos, K., & Forest, J. (2020). Applying self-determination theory to understand the motivational impact of cash rewards: New evidence from lab experiments. In International Journal of Psychology, 55 (3). https://doi.org/10.1002/ijop.12612
Thomas, K. W., & Velthouse, B. A. (1990). Cognitive Elements of Empowerment: An “Interpretive” Model of Intrinsic Task Motivation. The Academy of Management Review, 15(4). https://doi.org/10.2307/258687
Titmuss, R. (2019). The Gift Relationship : From Human Blood to Social Policy A study of blood donor motivation in South Africa. May 2022, 1–5.
Tversky, A., & Kahneman, D. (1986). Rational Choice and the Framing of Decisions Rational Choice and the Framing of Decisions*. Source: The Journal of Business The Behavioral Foundations of Economic Theory, 59(2 ).
Vroom, V. (2005). On the origins of expectancy theory. In Great minds in management: The process of theory development.
Vroom, V. H. (1964). Work and motivation.
Wang, D., Liu, T., & Shi, J. (2020). Neural Dynamic Responses of Monetary and Social Reward Processes in Adolescents. Frontiers in Human Neuroscience, 14 . https://doi.org/10.3389/fnhum.2020.00141