A simple, dynamic extension of temporal motivation theory

References

• Allen, T. D., Johnson, R. C., Kiburz, K. M., & Shockley, K. M. (2013). Work–Family conflict and flexible work arrangements: Deconstructing flexibility. Personnel Psychology, 66(2), 345–376.
   Web of Science ®Google Scholar
• Austin, J. T., & Vancouver, J. B. (1996). Goal constructs in psychology: Structure, process, and content. Psychological Bulletin, 120(3), 338.
   Web of Science ®Google Scholar
• Baumeister, R. F., Vohs, K. D., & Oettingen, G. (2016). Pragmatic prospection: How and why people think about the future. Review of General Psychology, 20(1), 3.
   Web of Science ®Google Scholar
• Beck, J. W., & Schmidt, A. M. (2013). State-level goal orientations as mediators of the relationship between time pressure and performance: A longitudinal study. Journal of Applied Psychology, 98(2), 354.
   PubMed Web of Science ®Google Scholar
• Blossfeld, H.-P., & Huinink, J. (1991). Human capital investments or norms of role transition? How women’s schooling and career affect the process of family formation. American Journal of Sociology, 97(1), 143–168.
   Web of Science ®Google Scholar
• Busemeyer, J. R. (2018). Old and new directions in strategy selection. Journal of Behavioral Decision Making, 31(2), 199–202.
   Web of Science ®Google Scholar
• Busemeyer, J. R., Townsend, J. T., & Stout, J. C. (2002). Motivational underpinnings of utility in decision making. Advances in Consciousness Research, 44, 197–220.
   Google Scholar
• Cappelli, P. (1991). The missing role of context in ob: The need for a meso-level approach. Organizational Behavior, 13, 55–110.
   Web of Science ®Google Scholar
• Chouinard, R., & Roy, N. (2008). Changes in high-school students’ competence beliefs, utility value and achievement goals in mathematics. British Journal of Educational Psychology, 78(1), 31–50.
   PubMedGoogle Scholar
• Courtright, S. H., Thurgood, G. R., Stewart, G. L., & Pierotti, A. J. (2015). Structural interdependence in teams: An integrative framework and meta-analysis. Journal of Applied Psychology, 100(6), 1825.
   PubMed Web of Science ®Google Scholar
• Denrell, J. (2005). Why most people disapprove of me: Experience sampling in impression formation. Psychological Review, 112(4), 951.
   PubMed Web of Science ®Google Scholar
• Denrell, J. (2007). Indirect social influence. Science, 321(5885), 47–48.
   Web of Science ®Google Scholar
• DeShon, R. P., & Gillespie, J. Z. (2005). A motivated action theory account of goal orientation. Journal of Applied Psychology, 90(6), 1096.
   PubMed Web of Science ®Google Scholar
• DeShon, R. P., & Rench, T. A. (2009). Clarifying the notion of self-regulation in organizational behavior. International Review of Industrial and Organizational Psychology, 24, 217–248.
   Google Scholar
• Dickinson, A. M. (1989). The detrimental effects of extrinsic reinforcement on “intrinsic motivation”. The Behavior Analyst, 12(1), 1–15. doi:10.1007/BF03392473
   PubMed Web of Science ®Google Scholar
• Dreher, G. F., & Bretz, R. D. (1991). Cognitive ability and career attainment: Moderating effects of early career success. Journal of Applied Psychology, 76(3), 392. doi:10.1037/0021-9010.76.3.392
   Web of Science ®Google Scholar
• Erez, A., & Isen, A. M. (2002). The influence of positive affect on the components of expectancy motivation. Journal of Applied Psychology, 87(6), 1055. doi:10.1037/0021-9010.87.6.1055
   PubMed Web of Science ®Google Scholar
• Guadagni, P. M., & Little, J. D. (1983). A logit model of brand choice calibrated on scanner data. Marketing Science, 2(3), 203–238. doi:10.1287/mksc.2.3.203
   Google Scholar
• Ilgen, D. R., & Hulin, C. L. (2000). Computational modeling of behavior in organizations: The third scientific discipline. Washington, DC: American Psychological Association.
   Google Scholar
• Johns, G. (2018). Advances in the treatment of context in organizational research. Annual Review of Organizational Psychology and Organizational Behavior, 5, 21–46. doi:10.1146/annurev-orgpsych-032117-104406
   Google Scholar
• Kanfer, R. (1990). Motivation theory. In M. Dunnette & L. Houghs (Eds.), Handbook of industrial and organizational psychology (Vol. 1, pp. 124–151). Palo Alto, CA: Consulting Psychologists Press.
   Google Scholar
• Kanfer, R. (2012). Work motivation: Theory, practice, and future directions. In S. W. J. Kozlowski (Ed.), The oxford handbook of organizational psychology (Vol. 1, pp. 455–495).New York, NY: Oxford University Press.
   Google Scholar
• Kanfer, R., & Chen, G. (2016). Motivation in organizational behavior: History, advances and prospects. Organizational Behavior and Human Decision Processes, 136, 6–19. doi:10.1016/j.obhdp.2016.06.002
   Web of Science ®Google Scholar
• Kanfer, R., Frese, M., & Johnson, R. E. (2017). Motivation related to work: A century of progress. Journal of Applied Psychology, 102(3), 338. doi:10.1037/apl0000133
   PubMed Web of Science ®Google Scholar
• Keeney, R. L., & Raiffa, H. (1976). Decision analysis with multiple objectives: Preference and value tradeoffs. Cambridge, England: Cambridge University Press.
   Google Scholar
• Kerr, S. (1975). On the folly of rewarding a, while hoping for b. Academy of Management Journal, 18(4), 769–783.
   PubMed Web of Science ®Google Scholar
• Kondrashov, D. A. (2016). Quantifying life: A symbiosis of computation, mathematics, and biology. Chicago, IL: University of Chicago Press.
   Google Scholar
• Lee, T. W., & Mitchell, T. R. (1994). An alternative approach: The unfolding model of voluntary employee turnover. Academy of Management Review, 19(1), 51–89. doi:10.5465/amr.1994.9410122008
   Web of Science ®Google Scholar
• Lord, R. G., Diefendorff, J. M., Schmidt, A. M., & Hall, R. J. (2010). Self-regulation at work. Annual Review of Psychology, 61, 543–568. doi:10.1146/annurev.psych.093008.100314
   PubMed Web of Science ®Google Scholar
• Luce, R. D. (1959). Individual choice behavior: A theoretical analysis. New York: Wiley.
   Google Scholar
• Luce, R. D. (1995). Four tensions concerning mathematical modeling in psychology. Annual Review of Psychology, 46(1), 1–27. doi:10.1146/annurev.ps.46.020195.000245
   PubMed Web of Science ®Google Scholar
• Luce, R. D. (1999). Where is mathematical modeling in psychology headed? Theory & Psychology, 9(6), 723–737. doi:10.1177/0959354399096001
   Web of Science ®Google Scholar
• Ludvig, E. A., Bellemare, M. G., & Pearson, K. G. (2011). A primer on reinforcement learning in the brain: Psychological, computational, and neural perspectives. In E. Alonso (Ed.), Computational neuroscience for advancing artificial intelligence: Models, methods and applications (pp. 111–144). Hershey, PA: IGI Global.
   Google Scholar
• McPhee, R. D., & Scott Poole, M. (1981). Mathematical modeling in communication research: An overview. Annals of the International Communication Association, 5(1), 159–191. doi:10.1080/23808985.1981.11923844
   Google Scholar
• Meehl, P. E. (1967). Theory-testing in psychology and physics: A methodological paradox. Philosophy of Science, 34(2), 103–115. doi:10.1086/288135
   Web of Science ®Google Scholar
• Miller, J. H., & Page, S. E. (2009). Complex adaptive systems: An introduction to computational models of social life. Princeton, NJ: Princeton university press.
   Google Scholar
• Miner, J. B. (1980). Theories of organizational behavior. Hinsdale, IL: Dryden Press.
   Google Scholar
• Mitchell, M. (2009). Complexity: A guided tour. New York, NY: Oxford University Press.
   Google Scholar
• Morgan, S. L., & Winship, C. (2015). Counterfactuals and causal inference. New York, NY: Cambridge University Press.
   Google Scholar
• Neal, A., Ballard, T., & Vancouver, J. B. (2017). Dynamic self-regulation and multiple-goal pursuit. Annual Review of Organizational Psychology and Organizational Behavior, 4, 401–423. doi:10.1146/annurev-orgpsych-032516-113156
   Google Scholar
• Newell, A. (1973). You can’t play 20 questions with nature and win. In W. G. Chase (Ed.), Visual information processing. New York, NY: Academic Press.
   Google Scholar
• Northcraft, G. B., Schmidt, A. M., & Ashford, S. J. (2011). Feedback and the rationing of time and effort among competing tasks. Journal of Applied Psychology, 96(5), 1076. doi:10.1037/a0023221
   PubMed Web of Science ®Google Scholar
• Pearl, J. (2009). Causal inference in statistics: An overview. Statistics Surveys, 3, 96–146. doi:10.1214/09-SS057
   Google Scholar
• Pearl, J., & Mackenzie, D. (2018). The book of why: The new science of cause and effect. New York,NY: Basic Books.
   Google Scholar
• Petris, G., & An, R. (2010). An r package for dynamic linear models. Journal of Statistical Software, 36(12), 1–16. doi:10.18637/jss.v036.i12
   Web of Science ®Google Scholar
• Pinsker, H., Kupfermann, I., Castellucci, V., & Kandel, E. (1970). Habituation and dishabituation of the gm-withdrawal reflex in aplysia. Science, 167(3926), 1740–1742. doi:10.1126/science.167.3926.1740
   PubMed Web of Science ®Google Scholar
• Rescorla, R. A., & Wagner, A. R. (1972). A theory of pavlovian conditioning: Variations in the effectiveness of reinforcement and nonreinforcement. Classical Conditioning II: Current Research and Theory, 2, 64–99.
   Google Scholar
• Schmidt, A. M., Beck, J. W., & Gillespie, J. Z. (2012). Motivation. In I. B. Weiner, N. W. Schmitt, & S. Highhouse (Eds.), Handbook of psychology, industrial and organizational psychology (Vol. 2, pp. 311–340). Palo Alto, CA: John Wiley & Sons.
   Google Scholar
• Schmidt, A. M., & DeShon, R. P. (2007). What to do? The effects of discrepancies, incentives, and time on dynamic goal prioritization. Journal of Applied Psychology, 92(4), 928. doi:10.1037/0021-9010.92.4.928
   PubMed Web of Science ®Google Scholar
• Schmidt, A. M., & DeShon, R. P. (2010). The moderating effects of performance ambiguity on the relationship between self-efficacy and performance. Journal of Applied Psychology, 95(3), 572. doi:10.1037/a0018289
   PubMed Web of Science ®Google Scholar
• Schmidt, A. M., & Dolis, C. M. (2009). Something’s got to give: The effects of dual-goal difficulty, goal progress, and expectancies on resource allocation. Journal of Applied Psychology, 94(3), 678. doi:10.1037/a0014945
   PubMed Web of Science ®Google Scholar
• Shantz, A., & Latham, G. P. (2009). An exploratory field experiment of the effect of subconscious and conscious goals on employee performance. Organizational Behavior and Human Decision Processes, 109(1), 9–17. doi:10.1016/j.obhdp.2009.01.001
   Web of Science ®Google Scholar
• Simon, H. (1981). The psychology of thinking: Embedding artifice in nature. In H. Simon (Ed.), The sciences of the artificial (pp. 63–73). Cambridge,MA: MIT Press.
   Google Scholar
• Simon, H. A. (1956). Rational choice and the structure of the environment. Psychological Review, 63(2), 129. doi:10.1037/h0042769
   PubMed Web of Science ®Google Scholar
• Simon, H. A. (1992). What is an “explanation” of behavior? Psychological Science, 3(3), 150–161. doi:10.1111/j.1467-9280.1992.tb00017.x
   Web of Science ®Google Scholar
• Steel, P., & König, C. J. (2006). Integrating theories of motivation. Academy of Management Review, 31(4), 889–913. doi:10.5465/amr.2006.22527462
   Web of Science ®Google Scholar
• Stewart, I. (2012). In pursuit of the unknown: 17 equations that changed the world. New York, NY: Basic Books.
   Google Scholar
• Unsworth, K., Yeo, G., & Beck, J. (2014). Multiple goals: A review and derivation of general principles. Journal of Organizational Behavior, 35(8), 1064–1078. doi:10.1002/job.v35.8
   Web of Science ®Google Scholar
• Van Eerde, W., & Thierry, H. (1996a). Vroom’s expectancy models and work-related criteria: A meta-analysis. Journal of Applied Psychology, 81(5), 575. doi:10.1037/0021-9010.81.5.575
   Web of Science ®Google Scholar
• Van Eerde, W., & Thierry, H. (1996b). Vroom’s expectancy models and work-related criteria: A meta-analysis. Journal of Applied Psychology, 81(5), 575. doi:10.1037/0021-9010.81.5.575
   Web of Science ®Google Scholar
• Vancouver, J. B., Wang, M., & Li, X. (2018). Translating informal theories into formal theories: The case of the dynamic computational model of the integrated model of work motivation. 1-37, Organizational Research Methods, 1094428118780308.
   Web of Science ®Google Scholar
• Vancouver, J. B., Weinhardt, J. M., & Schmidt, A. M. (2010). A formal, computational theory of multiple-goal pursuit: Integrating goal-choice and goal-striving processes. Journal of Applied Psychology, 95(6), 985. doi:10.1037/a0020628
   PubMed Web of Science ®Google Scholar
• Voelkle, M. C., & Oud, J. H. (2015). Relating latent change score and continuous time models. Structural Equation Modeling: A Multidisciplinary Journal, 22(3), 366–381. doi:10.1080/10705511.2014.935918
   Web of Science ®Google Scholar
• Von Winterfeldt, D., & Edwards, W. (1982). Costs and payoffs in perceptual research. Psychological Bulletin, 91(3), 609. doi:10.1037/0033-2909.91.3.609
   Web of Science ®Google Scholar
• Weiss, H. M., & Cropanzano, R. (1996). Affective events theory: A theoretical discussion of the structure, causes, and consequences of affective experiences at work. In B. M. Staw & L. L. Cummings (Eds.), Research in organizational behavior (pp. 1–74). Greenwich, CT: Elsevier Science.
   Google Scholar
• Yechiam, E., & Busemeyer, J. R. (2005). Comparison of basic assumptions embedded in learning models for experience-based decision making. Psychonomic Bulletin & Review, 12(3), 387–402. doi:10.3758/BF03193783
   PubMed Web of Science ®Google Scholar