바로가기메뉴

본문 바로가기 주메뉴 바로가기

ACOMS+ 및 학술지 리포지터리 설명회

  • 한국과학기술정보연구원(KISTI) 서울분원 대회의실(별관 3층)
  • 2024년 07월 03일(수) 13:30
 

logo

혁신행동에 대한 학습요인, 개인과 팀의 네트워크 및 팀 적응수행의 영향

The Effects of Learning Factor, Individual & Team Network, and Team Adaptive Performance on Innovative Behavior

초록

본 연구에서는 개인의 혁신행동에 영향을 주는 요인을 학습조직이론과 사회적 자본이론에 근거하여 살펴보았다. 또한 팀제의 보편화로 인한 현대조직의 실정을 고려하여 팀 맥락에서 연구를 실시하였고, 팀 적응수행을 통하여 개인의 혁신행동에 대한 교차수준 직접효과와 매개효과를 살펴봄으로써 좀 더 다양하고 실무적인 시사점을 찾고자 하였다. 구체적으로 개인수준에서 지속학습활동과 네트워크 중심성을, 팀 수준에서 팀 네트워크 밀도와 팀 피드백환경이 개인의 혁신행동에 미치는 영향을 살펴보았다. 그리고 팀 적응수행의 교차수준 매개효과와, 팀 수준 변인과 개인수준 변인의 상호작용을 통한 조절효과의 여부를 검증하였다. 연구를 위하여 국내의 기업들을 대상으로 35개 팀에서 158명의 자료를 수집하였다. 분석결과 개인수준의 지속학습활동은 혁신행동에 영향을 주는 것으로 나타났으며, 팀 수준의 팀 피드백환경은 팀 적응수행에 영향을 주는 것으로 나타났다. 또한 팀 적응수행은 개인의 혁신행동에 교차수준 직접효과의 영향을 주었으며 팀 피드백환경과 개인의 혁신행동의 관계를 매개하였다. 본 연구는 조직과 팀 내에서 학습에 대한 전략을 통하여 구성원의 혁신행동을 증가시킬 수 있다는 면에서 연구의 의의를 제시하였다.

keywords
Innovative Behavior, Continuous Learning, Team Feedback Environment, Social Network, Team Adaptive Performance, 혁신행동, 지속학습활동, 팀 피드백환경, 사회적 네트워크, 팀 적응수행

Abstract

This study examined the factors that may affect the innovative behavior based on the learning organization theory and the social capital theory. Also, considering the prevalence of the team system in modern organizations, the study was carried out in team context. Specifically, the study investigated the individual-level factors (i.e., continuous learning activity and network centrality) and the team-level factors (i.e., team network density and feedback environment) as predictors of the innovative behavior. The study also tested the moderating roles of the two team factors and the mediation effect of team adaptive performance. Using the survey research method, data were collected from 158 employees in 35 teams. To test the suggested model, multi-level analysis was conducted using the HLM. The results showed positive relationships between continuous learning and innovative behavior at the individual level. and between team feedback environment and team adaptive performance at the team level. The mediation effect of adaptive performance was confirmed only between team feedback environment and innovative behavior, showing that a significant cross-level effect of team adaptive performance on innovative behavior. From the confirmed meso-mediational relationships of the team factors on the innovative behavior, this study provided theoretical and practical implications regarding the innovative behavior at team contexts.

keywords
Innovative Behavior, Continuous Learning, Team Feedback Environment, Social Network, Team Adaptive Performance, 혁신행동, 지속학습활동, 팀 피드백환경, 사회적 네트워크, 팀 적응수행

참고문헌

1.

김신해 (2007). 팀환경 및 팀특성이 팀적응수행에 미치는 영향: 팀임파워먼트의 매개효과와 팀과업 상호의존성의 조절효과. 광운대학교 대학원 석사학위 청구논문.

2.

김영생, 정무권, 배득종, 한상일 (2006). 공무원 교육의 뉴패러다임화. 컨설팅 보고서.

3.

김은실 (2011). 사회적 네트워크가 개인 및 집단 창의성에 미치는 영향: 다수준 접근법을 중심으로. 경북대학교 대학원 박사학위 청구논문.

4.

김일천, 김종우, 이지우 (2004). 혁신적 업무행동의 선행요인에 관한 연구. 경영연구, 19, 281-316.

5.

박희진, 손영우 (2009). 임파워링 리더행동과 팀원들의 학습행동 및 교류기억의 관계: 팀 효능감, 혁신성향 및 리더에 대한 신뢰의 매개효과. 한국심리학회지: 산업 및 조직, 22, 1-25.

6.

백영미 (1998). 개인 혁신 행동의 영향요인에 관한 연구. 이화여자대학교 대학원 박사학위 청구논문.

7.

손동원 (2002). 사회네트워트분석. 경문사.

8.

오홍석, 정명호 (2005). 휴먼 네트워크와 기업경영. 삼성경제 연구소.

9.

전기호, 이병규, 박헌준 (2010). 네트워크 중심성이 협조적 행동에 미치는 영향: 조직 동일시의 매개역할을 중심으로. 한국심리학회지: 산업 및 조직, 23, 635-666.

10.

최두영 (2008). 한국 기업집단의 연결망과 기술혁신: 밀도와 중앙성을 중심으로. 부경대학교 대학원 박사학위 청구논문.

11.

한태영, 차윤석 (2011). 개인 및 팀 적응성과의 고찰: 성과코칭과 피드백 환경에 의한 다수준 상동모형의 검증, 인사조직연구, 19, 1-30.

12.

Adler, P. S., & Kwon, S. W. (2002). Social capital: Prospects for a new concept. Academy of Management Review, 27, 17-40.

13.

Alper, S., Tjosvold, D., & Law, S. A. (1998). Interdependence and controversy in group decision making: Antecedents to effective self-managing teams. Organizational Behavior and Human Decision Processes, 74, 33-52.

14.

Amabile, T. M., Conti, R., Coon, H., Lazenby, J., & Herron, M. (1996). Assessing the work environment for creativity. Academy of Management Journal, 39, 1154-1184.

15.

Andersson, L. M., & Bateman, T. S. (1997). Cynicism in the workplace: Some causes and effect. Journal of Organizational Behaviour, 18, 449-469.

16.

Ashford, S. J. (1986). Feedback-seeking in individual adaptation: A resource perspective. Academy of Management Journal, 29, 465-487.

17.

Baron, R. M., & Kenny, D. A. (1986). Moderator- mediator variables distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173-1182.

18.

Barsness, Z. I., Diekmann, K. A., & Seidel, M. D. L. (2005). Motivation and opportunity: The role of remote work, demographic dissimilarity, and social network centrality in impression management. Academy of Management Journal, 48, 401-409.

19.

Bilese, P. D. (2000). Within-group agreement, non-independence, and reliability: Implications for data aggregation and analysis. In K. J. Klein & S. W. J. Kozlowski (Eds), Multilevel theory, research, and methods in organizations. San Francisco: Jossey-Bass.

20.

Brass, D. J., & Burkhardt, M. E. (1993). Potential power and power use: An investigation of structure and behavior. Academy of Management Journal, 36, 441-470.

21.

Brewer, M. B. (1979). In-group bias in the minimal intergroup situation: A cognitive- motivational analysis. Psychological Bulletin, 86, 307-324.

22.

Burt, R. S. (1997). The contingent value of social capital. Administrative Science Quarterly, 42, 339 -365.

23.

Costello, S. J. (1994). Managing change in the workplace. U.S.A: Irwin Professional Publishing.

24.

Drucker, P. F. (1985). Innovation and entrepreneurship: Practice and principles. London: Heinemann.

25.

Galbraith, J. R. (1982). Designing the innovating organization. Organizational Dynamics, 10, 5-25.

26.

Garvin, D. A. (1993). Building a learning organization. Harvard Business Review, 71, 78- 91.

27.

Griffin, M. A., Neal, A., & Parker, S. K. (2007). A new model of work role performance: Positive behavior in uncertain and interdependent contexts. Academy of Management Journal, 50, 327-347.

28.

Han, T. Y., & Williams, K. J. (2008). Multilevel investigation of adaptive performance: Individual-and team-level relationships. Group & Organization Management, 33.

29.

Hesketh, B., & Neal, A. (1999). Technology and performance. In D. R. Ilgen & E. D. Pulakos (Eds), The changing nature of performance. San Francisco: Jossey-Bass.

30.

Hurtz, G. M. (2009). Attitudinal and motivational antecedents of participation in employee development activities. Journal of Applied Psychology, 94.

31.

Ibarra, H. (1995). Race, opportunity and diversity of social circles in managerial networks. Academy of management journal, 38, 673-703.

32.

Janssen, O. (2000). Job Demands, perceptions of effort-reward fairness and innovative work behavior. Journal of Occupational and Organizational Psychology, 73, 287-302.

33.

Jones, G. R. (2001). Organizational theory: Text and cases. New York: Addison-Wesley.

34.

Kanter, R. (1988). When a thousand flowers bloom: Structural, collective, and social conditions for innovation in organizations. In B. M. Staw & L. L. Cummings (Eds.), Research in organizational behavior, 10, 169-211.

35.

Kinicki, A. J., Prussia G. E., Wu, B., & McKee-Ryan, F. M. 2004. A covariance structure analysis of employees’ response to performance feedback. Journal of Applied Psychology, 89: 1057-1069.

36.

Kozlowski, S. W., Gully, S. M., Nason, E. R., & Smith, E. M. (1999). Developing adaptive teams: A theory of compilation and performance across levels and time. In D. R. Ilgen & E. D. Pulakos (Eds), The changing nature of performance. San Fransisco, CA: Jossey-Bass.

37.

Levy, P. E., & Williams, J. R. (2004). The social context of performance appraisal: A review and framework for the future. Journal of Management, 30, 881-905.

38.

Lin, N, (2001). Social capital: A theory of social structure and action. Cambridge.

39.

London, M. (2003). Job feedback: Giving, seeking, and using feedback for performance improvement. Mahwah, NJ: Lawrence Erlbaum.

40.

London, M., & Mone, E. M. (1999). Continuous learning. In D. R. Ingen & E. D. Pulakos (Eds.), The changing nature of performance. San Francisco: Jossey-Bass.

41.

Marsden, P. V. (1990). Network data and measurement. In W. R. Scott & J. Blake (Eds.), Annual Review of Sociology, 16, 435-463.

42.

Mathieu, J. E., & Martineau, J. E. (1997). Individual and situational influences in training motivation. In J. K. Ford, S. W. J. Kozlowski, K. Kraiger, E. Salas, & M. Teachout (Eds.), Improving training effectiveness in work organizations: pp.193-222, Mahwah, NJ: Erlbaum.

43.

Mehra, A., Kilduff, M., & Brass, D. J. (2001). The social networks of high and low self-monitors: Implications for workplace performance. Administrative Science Quarterly, 46, 121-146.

44.

Norris-Watts, C., & Levy, P. E. (2004). The mediating role of affective commitment in the relation of the feedback environment to work outcomes. Journal of Vocational Behavior, 65, 351-365.

45.

Pearce, Ⅲ. J. A., & Ravin, E. C. (1987). The design and activation of self-regulation work groups. Human Relations, 40, 751-782.

46.

Perry-Smith, J. E. (2006). Social yet creative: The role of social relationship in facilitating individual creativity. Academy of Management Journal, 49, 85-101.

47.

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88, 879-903.

48.

Portes, A., & Sensenbrenner, J. (1993). Embededness and immigration: Notes on the social determinants of economic behavior. American Journal of Sociology, 98, 1320-1350.

49.

Pulkos, E. D., Arad, S., Donovan, M. A., & Plamondon, K. E. (2000). Adaptability in the workplace: Development of a taxonomy of adaptive performnace. Journal of Applied Psychology, 85, 612-624.

50.

Rogers, E. M. (1995). Diffusion of innovation. New York: Free Press.

51.

Rosenfeld, R., & Servo, J. C. (1990). Facilitating innovation in large organizations. In M. A. West & J. L. Farr (Eds), Innovation and creativity at work. New York: John Wiley & Sons.

52.

Scott, S. & Bruce, R. (1994). Determinants of innovative behavior: A path model of individual innovation in the workplace. Academy of Management, 37, 580-607.

53.

Senge, P. M. (1990). The fifth discipline: The art and proactive of building learning organization. New York: Doubleday.

54.

Spreitzer, G. M. (1995), Psychological empowerment in the workplace: Dimensions, measurement, and validation. Academy of Management Journal, 38, 1442-1465.

55.

Staw, P. M. (1984). Organizational behavior: A review and reformulation of the field's outcome variables. Annual Review of Psychology, 53, 627-666.

56.

Steelman, L. A., Levy, P. E., & Snell, A. F. (2004). The feedback environment scale: Construct definition, measurement and validation. Educational and psychological Measurement, 64, 165-184.

57.

The MacKinsey Quarterly Number 1 (2008). Leadership and innovation.

58.

Tracey, J. B., Tannenbaum, S. I., & Kavanagh, M. J. (1995). Applying trained skills on the job: The importance of the work environment. Journal of Applied Psychology, 80: 239-252.

59.

Tushman, M. I., & O'Reilly, C. A. (1997). Winning through innovation, Boston: Harvard Business School Press.

60.

Utterback, J. M. (1971). The process of technological innovation within the firm. Academy of Management Journal, 14, 75-88.

61.

Venkataramani, V., & Dalal, R. S. (2007). Who helps and harms whom? Relational antecedents of interpersonal helping and harming in organizations. Journal of Applied Psychology, 92, 952-966.

62.

Wasserman, S., & Faust, K. (1994). Social network analysis: Methods and application. Cambridge Univ. Press. London

63.

Watkins, K. E., & Marsick, V. J. (2003). Demonstrating the value of an organization's learning culture: The dimension of learning organization questionnaire. Advances in Developing Human Resources, 5, 132-151.

logo