Journals / Uluslararası Avrasya Sosyal Bilimler Dergisi / 2020 / Cilt: 11 - Sayı: 39

THE ROLE OF COMMITMENT TO LEARNING IN THE EFFECT OF EVALUATION AND REWARDS ON PROJECT SUCCESS IN R&D TEAMS

Pages
11–22
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Therefore, the leaders who will lead these teams need to consider the nature of an adhocratic organization while taking into account the factors that will influence team success.

📌 3 Key Takeaways

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Objective & Hypothesis:In enterprises, Research and Development (R&D) activities are carried out on the basis of projects.
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Key Findings & Data:R&D projects are conducted by teams of employees from the different departments in an enterprise.
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Conclusion & Impact:Therefore, the leaders who will lead these teams need to consider the nature of an adhocratic organization while taking into account the factors that will influence team success.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Özet

In enterprises, Research and Development (R&D) activities are carried out on the basis of projects. R&D projects are conducted by teams of employees from the different departments in an enterprise. Members of R&D teams have different competencies, and the most prominent features are that they are creative and learning-oriented. Despite the competencies of the employees, it is very difficult to manage such teams successfully. Keeping the motivation of team members high and managing the team in a success-oriented way require important managerial skills since such teams have many different sources of motivation. Therefore, team leaders need to identify the factors that will lead their R&D teams to success. Accordingly, this paper attempts to explain the role of commitment to learning on the relationship between evaluation-rewards and project success. The mediator analyses were conducted according to the methodology suggested by Baron and Kenny. As a result of the hypothesis tests, it has been found out that commitment to learning has a mediator effect on the relationship between evaluation and reward and project success. In R&D teams, team members' commitment to learning is critical to the impact of reward and evaluation on project success. Therefore, the leaders who will lead these teams need to consider the nature of an adhocratic organization while taking into account the factors that will influence team success.

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Cite This Article

AŞÇI, M. S., CİVELEK, M. E., ÇEMBERCİ, M. (2020). THE ROLE OF COMMITMENT TO LEARNING IN THE EFFECT OF EVALUATION AND REWARDS ON PROJECT SUCCESS IN R&D TEAMS. Uluslararası Avrasya Sosyal Bilimler Dergisi, Cilt: 11 - Sayı: 39, 11–22. https://ajindex.com/articles/339180

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References (11)

  1. Akgün, A.E, Lynn G.S. & Yılmaz C. (2005). “Learning Process in New Product Development Teams and Effects on Product Success: A Socio-Cognitive Perspective.” Industrial Marketing Management, 35, 210-224.
  2. Anderson, J. & Gerbing, D. (1988). “Structural Equation Modelling in Practice: A Review and Recommended Two-Step Approach.” Psychological Bulletin, 103(3), 411-423.
  3. Baron, R., & Kenny, D. (1986). “The Moderator - Mediator Variable distinction in Social Psychological Research: Conceptual, Strategic and Statistical Consideration. The Moderator - Mediator Variable Distinction in Social Psychological Research.” Journal of Personality and Social Psychology, 1173-1182.
  4. Byrne, B. M. (2010). Structural Equation Modeling with AMOS. New York: Routledge Taylor & Francis Group. Calantone, R.J., Cavusgil S.T. & Zhao, Y. (2002). “Learning Orientation, Firm Innovation Capability and Firm Performance.” Industrial Marketing Management, 31 (6), 515-524.
  5. Christensen, C., Raynor, M., Dy, J. & Gregersen, H. (2011). Disruptive Innovation: The Christensen Collection (The Innovator's Dilemma, The Innovator's Solution, The Innovator's DNA, and Harvard Business Review Article "How Will You Measure Your Life?"). Boston: Harvard Business Review Press.
  6. Civelek, M. E. (2018). Essentials of Structural Equation Modeling. Lincoln: University of Nebraska Lincoln-Zea Books. Civelek, M. E. (2018). Yapısal Eşitlik Modellemesi Metodolojisi. İstanbul:
  7. Beta. Cooke-Davies, T. (2002). “The Real Success Factors on Projects.” International Journal of Project Management, 20 (3) 185-190.
  8. Cooper, R. G. & Kleinschmidt, E. (1987). “Success Factors in Product Innovation.” Industrial Marketing Management, 16, 215 – 223. Çemberci, M. (2012). “Örgütsel Öğrenmenin Ar-Ge Takımlarının Performansı Üzerine Etkileri.” Journal of Academic Studies, 96 (57), 77-94.
  9. De Wit, A. (1988). “Measurement of Project Success.” International Journal of Project Management, 6(3), 164- 170. Fornell, C. & Larcker, D. (1981). “Evaluating Structural Equation Models with Unobservable Variables and Measurement Error.” Journal of Marketing Research, 18(1), 39-50.
  10. Grant, R. (1996). “Toward a Knowledge-Based Theory of the Firm.” Strategic Management Journal, 17, 109- 122. Hirschhorn, L. (1991). Managing in the New Team Environment. Addison-Wesley, Reading, MA, 101-119.
  11. Howsawi, E., Eager, D., Bagia R. & Niebecker, K. (2014). “The four-Level Project Success Framework: Application and Assessment.” Organisational Project Management, 1 (1) 1-1