Abstract
As individuals are the actual agents of knowledge management (KM) activities, they are influenced by the technical and social aspects of an organization. The effects of social and technical aspects on KM, however, have either been studied separately, or one aspect has been emphasized over the other. This study used the multilevel approach to investigate the interaction between technical and social systems within the work system of KM by examining how the social system moderates the effects of the technical system on KM activities. The social system is operationalized as a team climate, which is the socially shared perception among members within a team, whereas the technical system is operationalized as the perceived value of the KM systems (KMS), which is the technical information system that deals with organizational knowledge and is realized in the work setting in the form of the perception of individuals. We conducted a field study that involved 80 teams of 419 individuals from three knowledge-intensive companies. A hierarchical linear model was employed to analyze the multilevel structure: individual-level KMS perceptions for operational support and strategic decision support, and KM activities with the team-level affective and innovative climates. Our findings show that the innovative team climate magnifies the effect of the perceived KMS value of individuals for strategic decision support on their knowledge adoption; whereas, the affective climate strengthens the effect of the perceived KMS value of individuals for operational support on their knowledge transformation.
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References
Grant RM (1996) Prospering in dynamically-competitive environments: organizational capability as knowledge integration. Organ Sci 7(4):375–387
Trist E (1981) The evolution of socio-technical systems, vol 2. Wiley, New York
Grant RM (1996) Toward a knowledge-based theory of the firm. Strateg Manag J 17(S2):109–122
Abdullah R, Selamat MH, Sahibudin S, Alias RA (2005) A framework for knowledge management system implementation in collaborative environment for higher learning institution. J Knowl Manag Pract 6(1):1–5
Lamb R, Kling R (2003) Reconceptualizing users as social actors in information systems research. MIS Q 27(2):197–236
Bostrom RP, Heinen JS (1977) MIS problems and failures: a socio-technical perspective. Part I: the causes. MIS Q 1(3):17–32
Fischer G, Herrmann T (2011) Socio-technical systems: a meta-design perspective. Int J Sociotechnol Knowl Dev 3(1):1–33
Kulkarni UR, Ravindran S, Freeze R (2007) A knowledge management success model: theoretical development and empirical validation. J Manag Inf Syst 23(3):309–347
Del Giudice M, Della Peruta MR (2016) The impact of IT-based knowledge management systems on internal venturing and innovation: a structural equation modeling approach to corporate performance. J Knowl Manag 20(3):484–498
Bock GW, Zmud RW, Kim YG, Lee JN (2005) Behavioral intention formation in knowledge sharing: examining the roles of extrinsic motivators, social-psychological forces, and organizational climate. MIS Q 29:87–111
Xiaojun Z (2017) Knowledge management system use and job performance: a multilevel contingency model. MIS Q 41(3):811–840
Furlan A, Galeazzo A, Paggiaro A (2019) Organizational and perceived learning in the workplace: a multilevel perspective on employees’ problem solving. Organ Sci 30(2):280–297
Li X, Zhang J, Zhang S, Zhou M (2017) A multilevel analysis of the role of interactional justice in promoting knowledge-sharing behavior: the mediated role of organizational commitment. Ind Mark Manag 62:226–233
Pan SL, Scarbrough H (1998) A socio-technical view of knowledge-sharing at Buckman Laboratories. J Knowl Manag 2(1):55–66
Maruping LM, Magni M (2012) What’s the weather like? The effect of team learning climate, empowerment climate, and gender on individuals’ technology exploration and use. J Manag Inf Syst 29(1):79–114
Glomb TM, Liao H (2003) Interpersonal aggression in work groups: social influence, reciprocal, and individual effects. Acad Manag J 46(4):486–496
Alavi M, Leidner DE (2001) Review: knowledge management and knowledge management systems: conceptual foundations and research issues. MIS Q 25(1):107–136. https://doi.org/10.2307/3250961
Pasmore W, Francis C, Haldeman J, Shani A (1982) Sociotechnical systems: a North American reflection on empirical studies of the seventies. Hum Relat 35(12):1179–1204
Lyytinen K, Newman M (2008) Explaining information systems change: a punctuated socio-technical change model. Eur J Inf Syst 17:589–613
Geels FW (2005) The dynamics of transitions in socio-technical systems: a multi-level analysis of the transition pathway from horse-drawn carriages to automobiles (1860–1930). Technol Anal Strateg Manag 17(4):445–476
Hsu MH, Chang CM (2014) Examining interpersonal trust as a facilitator and uncertainty as an inhibitor of intra-organisational knowledge sharing. Inf Syst J 24(2):119–142
Chang Y-W, Hsu P-Y, Shiau W-L, Tsai C-C (2015) Knowledge sharing intention in the United States and China: a cross-cultural study. Eur J Inf Syst 24(3):262–277
Boh WF, Wong SS (2013) Organizational climate and perceived manager effectiveness: influencing perceived usefulness of knowledge sharing mechanisms. J Assoc Inf Syst 14(3):122–152
Wasko MM, Faraj S (2005) Why should I share? Examining social capital and knowledge contribution in electronic networks of practice. MIS Q 29(1):35–57
Alavi M, Kayworth TR, Leidner DE (2005) An empirical examination of the influence of organizational culture on knowledge management practices. J Manag Inf Syst 22(3):191–224
Handzic M (2011) Integrated socio-technical knowledge management model: an empirical evaluation. J Knowl Manag 15(2):198–211
Borgatti SP, Cross R (2003) A relational view of information seeking and learning in social networks. Manag Sci 49(4):432–445
Zhang X (2017) Knowledge management system use and job performance: a multilevel contingency model. MIS Q 41(3):811–840
Jahmani K, Fadiya SO, Abubakar AM, Elrehail H (2018) Knowledge content quality, perceived usefulness, KMS use for sharing and retrieval: a flock leadership application. VINE J Inf Knowl Manag Syst 48(4):470–490
Davison RM, Martinsons MG (2016) Context is king! Considering particularism in research design and reporting. J Inf Technol 31(3):241–249
March JG (1991) Exploration and exploitation in organizational learning. Organ Sci 2(1):71–87
Teigland R, Wasko M (2009) Knowledge transfer in MNCs: examining how intrinsic motivations and knowledge sourcing impact individual centrality and performance. J Int Manag 15(1):15–31. https://doi.org/10.1016/j.intman.2008.02.001
Shrivastava P (1983) A typology of organizational learning systems. J Manag Stud 20(1):7–28
Sveiby K-E, Simons R (2002) Collaborative climate and effectiveness of knowledge work—an empirical study. J Knowl Manag 6(5):420–433
Gray PH (2000) The effects of knowledge management systems on emergent teams: towards a research model. J Strat Inf Syst 9(2):175–191
Kim SH, Mukhopadhyay T, Kraut RE (2016) When does repository KMS use lift performance? The role of alternative knowledge sources and task environments. MIS Q 40(1):133–156
Zhang X, Venkatesh V (2017) A nomological network of knowledge management system use: antecedents and consequences. MIS Q 41(4):1275–1306
Anthony RN (1965) Management planning and control systems: a framework for analysis. Harvard Business School Press, Cambridge, MA
Park Y, Kim S (2006) Knowledge management system for fourth generation R&D: KNOWVATION. Technovation 26(5–6):595–602. https://doi.org/10.1016/j.technovation.2004.10.008
Molloy S, Schwenk CR (1995) The effects of information technology on strategic decision making. J Manag Stud 32(3):283–311
Floyd SW, Lane PJ (2000) Strategizing throughout the organization: managing role conflict in strategic renewal. Acad Manag Rev 25(1):154–177
Wijnhoven F (2003) Operational knowledge management: identification of knowledge objects, operation methods, and goals and means for the support function. J Oper Res Soc 54(2):194–203
Facteau JD, Dobbins GH, Russell JE, Ladd RT, Kudisch JD (1995) The influence of general perceptions of the training environment on pretraining motivation and perceived training transfer. J Manag 21(1):1–25
Ashkanasy NM, Wilderom CP, Peterson MF (2000) Handbook of organizational culture and climate. SAGE Publications, Beverly Hills
Kozlowski SW, Klein KJ (2000) A multilevel approach to theory and research in organizations: contextual, temporal, and emergent processes. In: Klein KJ, Koslowski SW (eds) Multilevel theory, research, and methods in organizations. Jossey Bass, San Francisco, pp 3–90
Rousseau DM (1985) Issues of level in organizational research: multi-level and cross-level perspectives. In: Staw BM, Cummings LL (eds) Research in organizational behavior, vol 7. JAI Press, Greenwich, pp 1–37
Cannon-Bowers JA, Salas E (2001) Reflections on shared cognition. J Organ Behav 22(2):195–202
Ostroff C (1993) The effects of climate and personal influences on individual behavior and attitudes in organizations. Organ Behav Hum Decis Process 56(1):56–90
Brown SL, Eisenhardt KM (1995) Product development: past research, present findings, and future directions. Acad Manag Rev 20(2):343–378
Chen C-J, Huang J-W (2007) How organizational climate and structure affect knowledge management—the social interaction perspective. Int J Inf Manag 27(2):104–118
Chen C-J, Huang J-W, Hsiao Y-C (2010) Knowledge management and innovativeness: the role of organizational climate and structure. Int J Manpow 31(8):848–870
Islam MZ, Jasimuddin SM, Hasan I (2017) The role of technology and socialization in linking organizational context and knowledge conversion: the case of malaysian service organizations. Int J Inf Manag 37(5):497–503
Oliver RL, Anderson E (1994) An empirical test of the consequences of behavior-and outcome-based sales control systems. J Mark 58(4):53–67
Shadur MA, Kienzle R, Rodwell JJ (1999) The relationship between organizational climate and employee perceptions of involvement: the importance of support. Group Org Manag 24(4):479–503
Kim MJ, Choi JN, Lee K (2016) Trait affect and individual creativity: Moderating roles of affective climate and reflexivity. Soc Behav Personal Int J 44(9):1477–1498
West MA, Richter AW (2008) Climates and cultures for innovation and creativity at work. In: Zhou J, Shalley CE (eds) Handbook of organizational creativity. Erlbaum, New York, pp 211–236
Hurley RF, Hult GTM (1998) Innovation, market orientation, and organizational learning: an integration and empirical examination. J Market 62:42–54
Gray RJ (2001) Organisational climate and project success. Int J Project Manag 19(2):103–109
Hammedi W, Van Riel AC, Sasovova Z (2013) Improving screening decision making through transactive memory systems: a field study. J Prod Innov Manag 30(2):316–330
Lin C-P, Liu C-M, Liu N-T, Huang H-T (2020) Being excellent teams: managing innovative climate, politics, and team performance. Total Qual Manag Bus Excell 31(3–4):353–372
Basaglia S, Caporarello L, Magni M, Pennarola F (2010) IT knowledge integration capability and team performance: the role of team climate. Int J Inf Manag 30(6):542–551
Hoegl M, Parboteeah KP, Munson CL (2003) Team-level antecedents of individuals’ knowledge networks*. Decis Sci 34(4):741–770
Liao S-H, Chang W-J, Hu D-C, Yueh Y-L (2012) Relationships among organizational culture, knowledge acquisition, organizational learning, and organizational innovation in Taiwan’s banking and insurance industries. Int J Hum Resour Manag 23(1):52–70
Bibi S, Khan A, Qian H, Garavelli AC, Natalicchio A, Capolupo P (2020) Innovative climate, a determinant of competitiveness and business performance in Chinese law firms: the role of firm size and age. Sustainability 12(12):4948
Lee J, Min J, Kwak C, Pee L, Lee H (2019) Share or send and receive? The impact of team knowledge outflow/inflow with IT support on performance. J Knowl Manag 23(8):1523–1542
Barczak G, Sultan F, Hultink EJ (2007) Determinants of IT usage and new product performance. J Prod Innov Manag 24(6):600–613
Kang JH, Solomon GT, Choi DY (2015) CEOs’ leadership styles and managers’ innovative behaviour: investigation of intervening effects in an entrepreneurial context. J Manag Stud 52(4):531–554
Lai VS, Mahapatra RK (1997) Exploring the research in information technology implementation. Inf Manag 32(4):187–201
Jasperson J, Carter PE, Zmud RW (2005) A comprehensive conceptualization of post-adoptive behaviors associated with information technology enabled work systems. MIS Q 29(3):525–557
Hsieh JP-A (2007) Explaining employees’ extended use of complex information systems. Eur J Inf Syst 16:216–227
Ke W, Tan C-H, Sia C-L, Wei K-K (2012) Inducing intrinsic motivation to explore the enterprise system: the supremacy of organizational levers. J Manag Inf Syst 29(3):257–290
Liang H, Peng Z, Xue Y, Guo X, Wang N (2015) Employees’ exploration of complex systems: an integrative view. J Manag Inf Syst 32(1):322–357
Acur N, Kandemir D, De Weerd-Nederhof PC, Song M (2010) Exploring the impact of technological competence development on speed and NPD program performance. J Prod Innov Manag 27(6):915–929
Cai Z, Liu H, Huang Q, Liang L (2019) Developing organizational agility in product innovation: the roles of IT capability, KM capability, and innovative climate. R&D Manag 49(4):421–438
Liang H, Xue Y, Ke W, Wei KK (2010) Understanding the influence of team climate on IT use. J Assoc Inf Syst 11(8):414–432
Gatian AW, Brown RM, Hicks JO Jr (1995) Organizational innovativeness, competitive strategy and investment success. J Strat Inf Syst 4(1):43–59
Kellermanns FW, Eddleston KA, Sarathy R, Murphy F (2012) Innovativeness in family firms: a family influence perspective. Small Bus Econ 38(1):85–101
Sandhawalia BS, Dalcher D (2011) Developing knowledge management capabilities: a structured approach. J Knowl Manag 15:313–328
Liu S, Deng Z (2015) Understanding knowledge management capability in business process outsourcing. Manag Decis 53:124–138
González-Romá V, Peiró JM, Subirats M, Mañas MA (2000) The validity of affective work team climates. In: Vartiainen M, Avallone F, Anderson N (eds) Innovative theories, tools and practices in work and organizational psychology. Hogrefe & Huber, Göttingen, pp 97–109
Gray JA (1990) Brain systems that mediate both emotion and cognition. Cogn Emot 4(3):269–288
Collins AL, Lawrence SA, Troth AC, Jordan PJ (2013) Group affective tone: a review and future research directions. J Organ Behav 34(S1):S43–S62
Sy T, Côté S, Saavedra R (2005) The contagious leader: impact of the leader’s mood on the mood of group members, group affective tone, and group processes. J Appl Psychol 90(2):295–305
Tran V (1998) The role of the emotional climate in learning organisations. Learn Organ 5:99–104
Amabile TM, Conti R, Coon H, Lazenby J, Herron M (1996) Assessing the work environment for creativity. Acad Manag J 39(5):1154–1184
Maimone F, Sinclair M (2010) Affective climate, organizational creativity, and knowledge creation: case study of an automotive company. In: Zerbe WJ, Hartel CEJ, Ashkanasy NM (eds) Emotions and organizational dynamism. Emerald Group Publishing, Bingley, pp 309–332
Edmondson A (1999) Psychological safety and learning behavior in work teams. Adm Sci Q 44(2):350–383
Bierhoff HW, Müller GF (1999) Positive feelings and cooperative support in project groups. Swiss J Psychol 58(3):180–190
Xue Y, Bradley J, Liang H (2011) Team climate, empowering leadership, and knowledge sharing. J Knowl Manag 15(2):299–312
Estrada CA, Isen AM, Young MJ (1997) Positive affect facilitates integration of information and decreases anchoring in reasoning among physicians. Organ Behav Hum Decis Process 72(1):117–135
George JM, King EB (2007) Potential pitfalls of affect convergence in teams: functions and dysfunctions of group affective tone. In: Mannix EA, Neale MA, Anderson CP (eds) Research on managing groups and teams, vol 10. JAI Press, Greenwich, pp 97–124
Bloodgood JM, Salisbury WD (2001) Understanding the influence of organizational change strategies on information technology and knowledge management strategies. Decis Support Syst 31(1):55–69
Butler T, Murphy C (2007) Understanding the design of information technologies for knowledge management in organizations: a pragmatic perspective. Inf Syst J 17(2):143–163
Bryk AS, Raudenbush SW (1992) Hierarchical linear models for social and behavioral research: applications and data analysis methods. Sage, Newbury Park
Hofmann DA, Griffin MA, Gavin MB (2000) The application of hierarchical linear modeling to organizational research. In: Klein KJ, Kozlowski SWJ (eds) Multilevel theory, research, and methods in organizations: foundations, extensions, and new directions. Wiley, San Francisco, pp 467–511
James LR, Demaree RG, Wolf G (1984) Estimating within-group interrater reliability with and without response bias. J Appl Psychol 69(1):85–98
Fowler F (1993) Survey research methods, 2nd edn. Sage, Newbury Park
Armstrong JS, Overton TS (1977) Estimating non-response bias in mail surveys. J Mark Res 14(3):396–402
Bagozzi RP, Yi Y (1998) On the evaluation of structural equation models. Acad Market Sci 16(1):74–94
Wixom BH, Todd PA (2005) A theoretical integration of user satisfaction and technology acceptance. Inf Syst Res 16(1):85–102
Fornell C, Larcker DF (1981) Evaluating structural equation models with unobservable variables and measurement error. J Mark Res 18(1):39–50
Shrout PE, Fleiss JL (1979) Intraclass correlations: uses in assessing rater reliability. Psychol Bull 86(2):420–428
Podsakoff PM, Organ DW (1986) Self-reports in organizational research: problems and prospects. J Manag 12(4):531–544
Liang H, Saraf N, Hu Q, Xue Y (2007) Assimilation of enterprise systems: the effects of institutional pressures and the mediating role of top management. MIS Q 31(1):59–88
Mehta A, Mehta N (2018) Knowledge integration and team effectiveness: a team goal orientation approach. Decis Sci 49(3):445–486
Hall R, Andriani P (2003) Managing knowledge associated with innovation. J Bus Res 56(2):145–152
Brockmann EN, Anthony WP (2002) Tacit knowledge and strategic decision making. Group Org Manag 27(4):436–455
Durcikova A, Fadel KJ, Butler BS, Galletta DF (2011) Knowledge exploration and exploitation: the impacts of psychological climate and knowledge management system access. Inf Syst Res 22(4):855–866
Kettinger WJ, Li Y, Davis JM, Kettinger L (2015) The roles of psychological climate, information management capabilities, and IT support on knowledge-sharing: an MOA perspective. Eur J Inf Syst 24(1):59–75
Snijders T, Bosker R (1999) Multilevel analysis: an introduction to basic and advanced multilevel modeling. Sage, London
Sabherwal R, Chan YE (2001) Alignment between business and IS strategies: a study of prospectors, analyzers, and defenders. Inf Syst Res 12(1):11–33
Gold AH, Malhotra A, Segars AH (2001) Knowledge management: an organizational capabilities perspective. J Manag Inf Syst 18(1):185–214
Flatten TC, Engelen A, Zahra SA, Brettel M (2011) A measure of absorptive capacity: scale development and validation. Eur Manag J 29(2):98–116
Tse HHM, Dasborough MT, Ashkanasy NM (2008) A multi-level analysis of team climate and interpersonal exchange relationships at work. Leadersh Q 19(2):195–211
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This study was supported by a research fund from Chosun University, 2020.
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Min, J., Lee, J., Ryu, S. et al. The effects of interaction between team climates and KMS value perception on knowledge activities: a multilevel socio-technical systems approach. Inf Technol Manag 23, 1–21 (2022). https://doi.org/10.1007/s10799-021-00337-5
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DOI: https://doi.org/10.1007/s10799-021-00337-5