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Personal Achievement Goals, Learning Strategies, and Perceived IT Affordances

Author

Listed:
  • Saggi Nevo

    (School of Business, University at Albany, Albany, New York 12222)

  • Dorit Nevo

    (Lally School of Management, Rensselaer Polytechnic Institute, Troy, New York 12180)

  • Alain Pinsonneault

    (Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada)

Abstract

Goals are the prism through which actors perceive the affordances of technological artifacts. Yet, personal goals have not been differentiated conceptually, and the learning mechanism through which they shape individuals’ perception of affordances has not been examined. This paper addresses these gaps theoretically and empirically. Drawing on achievement goal theory, we conceptualize information technology (IT) affordances as goal-oriented learning outcomes. We then develop a research model that describes several mediated pathways, in which the impact of personal goals on IT affordance perceptions passes through IT-focused learning strategies. The results of the empirical study support the theoretical model and depict three distinct pathways. Specifically, performance-avoidance goals are positively associated with surface processing, which leads to perceptions of common in-role IT affordances. Performance-approach goals are positively associated with surface processing and effort regulation and these learning strategies lead to perceptions of common and specialized in-role IT affordances. Mastery goals are associated with deep processing, effort regulation, and peer learning, which are positively associated with perceptions of specialized in-role and extra-role IT affordances. The paper offers new insights on how and why employees perceive different IT affordances. The affordances we study are conceptualized and operationalized at a level of abstraction that can be used to study affordance perception across actors, technologies, and contexts. The paper opens new avenues for future research on affordances and on related postimplementation phenomena.

Suggested Citation

  • Saggi Nevo & Dorit Nevo & Alain Pinsonneault, 2021. "Personal Achievement Goals, Learning Strategies, and Perceived IT Affordances," Information Systems Research, INFORMS, vol. 32(4), pages 1298-1322, December.
  • Handle: RePEc:inm:orisre:v:32:y:2021:i:4:p:1298-1322
    DOI: 10.1287/isre.2021.1025
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    References listed on IDEAS

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    1. Mustapha Cheikh-Ammar & Nik Rushdi Hassan & John Mingers & Bernd Stah, 2018. "The IT artifact and its spirit: a nexus of human values, affordances, symbolic expressions, and IT features," European Journal of Information Systems, Taylor & Francis Journals, vol. 27(3), pages 278-294, May.
    2. J. H. Jung & Christoph Schneider & Joseph Valacich, 2010. "Enhancing the Motivational Affordance of Information Systems: The Effects of Real-Time Performance Feedback and Goal Setting in Group Collaboration Environments," Management Science, INFORMS, vol. 56(4), pages 724-742, April.
    3. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    4. Paul M. Leonardi & Diane E. Bailey & Casey S. Pierce, 2019. "The Coevolution of Objects and Boundaries over Time: Materiality, Affordances, and Boundary Salience," Information Systems Research, INFORMS, vol. 30(2), pages 665-686, June.
    5. Saurabh Gupta & Robert Bostrom, 2013. "Research Note ---An Investigation of the Appropriation of Technology-Mediated Training Methods Incorporating Enactive and Collaborative Learning," Information Systems Research, INFORMS, vol. 24(2), pages 454-469, June.
    6. Button, Scott B. & Mathieu, John E. & Zajac, Dennis M., 1996. "Goal Orientation in Organizational Research: A Conceptual and Empirical Foundation," Organizational Behavior and Human Decision Processes, Elsevier, vol. 67(1), pages 26-48, July.
    7. Uri Gal & Tina Blegind Jensen & Kalle Lyytinen, 2014. "Identity Orientation, Social Exchange, and Information Technology Use in Interorganizational Collaborations," Organization Science, INFORMS, vol. 25(5), pages 1372-1390, October.
    8. Rigdon, Edward E., 2016. "Choosing PLS path modeling as analytical method in European management research: A realist perspective," European Management Journal, Elsevier, vol. 34(6), pages 598-605.
    9. Venkatesh, Viswanath & Speier, Cheri, 1999. "Computer Technology Training in the Workplace: A Longitudinal Investigation of the Effect of Mood, ," Organizational Behavior and Human Decision Processes, Elsevier, vol. 79(1), pages 1-28, July.
    10. Marie-Claude Boudreau & Daniel Robey, 2005. "Enacting Integrated Information Technology: A Human Agency Perspective," Organization Science, INFORMS, vol. 16(1), pages 3-18, February.
    11. Andrew Burton-Jones & Olga Volkoff, 2017. "How Can We Develop Contextualized Theories of Effective Use? A Demonstration in the Context of Community-Care Electronic Health Records," Information Systems Research, INFORMS, vol. 28(3), pages 468-489, September.
    12. Jie Mein Goh & Guodong (Gordon) Gao & Ritu Agarwal, 2011. "Evolving Work Routines: Adaptive Routinization of Information Technology in Healthcare," Information Systems Research, INFORMS, vol. 22(3), pages 565-585, September.
    13. Raquel Benbunan-Fich, 2019. "An affordance lens for wearable information systems," European Journal of Information Systems, Taylor & Francis Journals, vol. 28(3), pages 256-271, May.
    14. Oded Nov & Jeffrey Laut & Maurizio Porfiri, 2016. "Using targeted design interventions to encourage extra-role crowdsourcing behavior," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 67(2), pages 483-489, February.
    15. Wanda J. Orlikowski, 2000. "Using Technology and Constituting Structures: A Practice Lens for Studying Technology in Organizations," Organization Science, INFORMS, vol. 11(4), pages 404-428, August.
    16. Tobias Mettler & Michaela Sprenger & Robert Winter, 2017. "Service robots in hospitals: new perspectives on niche evolution and technology affordances," European Journal of Information Systems, Taylor & Francis Journals, vol. 26(5), pages 451-468, September.
    17. Sonali K. Shah, 2006. "Motivation, Governance, and the Viability of Hybrid Forms in Open Source Software Development," Management Science, INFORMS, vol. 52(7), pages 1000-1014, July.
    18. Sung S. Kim & Naresh K. Malhotra & Sridhar Narasimhan, 2005. "Research Note—Two Competing Perspectives on Automatic Use: A Theoretical and Empirical Comparison," Information Systems Research, INFORMS, vol. 16(4), pages 418-432, December.
    19. Jack Shih-Chieh Hsu & Sheng-Pao Shih & Yu Wen Hung & Paul Benjamin Lowry, 2015. "The Role of Extra-Role Behaviors and Social Controls in Information Security Policy Effectiveness," Information Systems Research, INFORMS, vol. 26(2), pages 282-300, June.
    20. Wanda J. Orlikowski, 1996. "Improvising Organizational Transformation Over Time: A Situated Change Perspective," Information Systems Research, INFORMS, vol. 7(1), pages 63-92, March.
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