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The Effects Of Psychological Capital And Team Strain On The Effectiveness Of Npd Teams: The Moderating Role Of Perceived Diversity Climate

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  • BADRI MUNIR SUKOCO

    () (Department of Management, Airlangga University, Airlangga Rd 4, Surabaya 60286, Indonesia)

  • LES TIEN-SHANG LEE

    () (Department of International Trade, Graduate College of Management School of Business, Kun Shan University, No. 195, Kunda Rd, Youngkang Dist., Taiwan City 710, Taiwan)

Abstract

The unlearning process in new product development (NPD) teams is a crucial one that leads to innovative products, but most related studies emphasise the variables embedded at the team level. This study focuses on how the characteristics of individuals, known as psychological capital (PsyCap), also contribute to the unlearning process. Moreover, this study argues that the effect of unlearning is moderated by the perceived diversity climate. To test the proposed hypotheses, 77 NPD team leaders and 298 members participated in the study. The results indicate that PsyCap has a positive influence on team unlearning and product innovation. This study also indicates that team strain negatively influences the unlearning process and product innovation. The positive effect of PsyCap on the unlearning process is strengthened when NPD teams perceive greater diversity climate, while the negative effect of team strain on the unlearning process and product innovation is weakened.

Suggested Citation

  • Badri Munir Sukoco & Les Tien-Shang Lee, 2017. "The Effects Of Psychological Capital And Team Strain On The Effectiveness Of Npd Teams: The Moderating Role Of Perceived Diversity Climate," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 21(04), pages 1-30, May.
  • Handle: RePEc:wsi:ijimxx:v:21:y:2017:i:04:n:s1363919617500323
    DOI: 10.1142/S1363919617500323
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    References listed on IDEAS

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    1. Christian W. Scheiner & Christian V. Baccarella & Nina Feller & Kai-Ingo Voigt & John Bessant, 2016. "Organisational And Individual Unlearning In Identification And Evaluation Of Technologies," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 20(02), pages 1-27, February.
    2. David W. Gerbing & James C. Anderson, 1992. "Monte Carlo Evaluations of Goodness of Fit Indices for Structural Equation Models," Sociological Methods & Research, , vol. 21(2), pages 132-160, November.
    3. Yang, Kuo-Pin & Chou, Christine & Chiu, Yu-Jen, 2014. "How unlearning affects radical innovation: The dynamics of social capital and slack resources," Technological Forecasting and Social Change, Elsevier, vol. 87(C), pages 152-163.
    4. Fred Luthans & Bruce J. Avolio & Fred O. Walumbwa & Weixing Li, 2005. "The Psychological Capital of Chinese Workers: Exploring the Relationship with Performance," Management and Organization Review, International Association of Chinese Management Research, vol. 1(2), pages 249-271, July.
    5. Luthans, Fred & Avolio, Bruce J. & Walumbwa, Fred O. & Li, Weixing, 2005. "The Psychological Capital of Chinese Workers: Exploring the Relationship with Performance," Management and Organization Review, Cambridge University Press, vol. 1(02), pages 249-271, July.
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