As Chinese IT service companies face intense rivalry and customization demand, innovation is considered to be imperative for business success. In particular, employees' innovative behavior is an important asset. This study endeavors to extend research on innovative behavior by investigating employees' espoused individualism/collectivism and power distance cultural values in Chinese IT service industry. Specifically, a theoretical model is proposed to characterize antecedents of innovative behavior and investigate moderating effect of employees' espoused national cultural values on the relationship between knowledge sharing and innovative behavior. Questionnaire surveys were conducted in IT service firms with different ownerships in Beijing and Xi'an, with 484 questionnaires in total. SPSS and Smart PLS were used for data analysis. Results indicate that: Knowledge sharing affects innovative behavior significantly and positively; besides, this knowledge sharing-innovative behavior relationship increases with the increase of employees' espoused collectivistic cultural values, and decreases with the increase of espoused power distance cultural values. Implications for practice are: managers should recognize the importance of employees' espoused national culture, and design better recruitment strategies and training program for companies. For espoused collectivistic cultural values, managers should recruit employees high on collectivism, and implement mechanisms to cultivate and increase employees' espoused collectivistic cultural values. For espoused power distance cultural values, managers should adopt suitable strategies according to specific situations, e.g., if this organization emphasis on hierarchy or the leaders are characterized by high power distance, manager can ignore the negative moderating effect; conversely, managers should enhance mutual communication and trust between the managers and employees, and increase employees' enthusiasm and initiative in companies characterized by low power distance.
LIU Li-li, DU Rong, AI Shi-zhong
. Impact of Culture on the Relationship between Knowledge Sharing and Innovative Behavior in IT Services Industry[J]. Chinese Journal of Management Science, 2016
, 24(4)
: 159
-166
.
DOI: 10.16381/j.cnki.issn1003-207x.2016.04.018
[1] Kvedaraviciene G, Boguslauskas V. Underestimated importance of cultural differences in outsourcing arrangements[J]. Inzinerine Ekonomika-Engineering Economics, 2010, 21(2):187-198.
[2] Shane S A. Why do some societies invent more than others?[J]. Journal of Business Venturing, 1992, 7(1):29-46.
[3] Taylor M Z, Wilson S. Does culture still matter?: The effects of individualism on national innovation rates[J]. Journal of Business Venturing, 2012, 27(2):234-247.
[4] Wiewiora A, Trigunarsyah B, Murphy G, et al. Organizational culture and willingness to share knowledge: A competing values perspective in Australian context[J]. International Journal of Project Management,2013, 31(8):1163-1174.
[5] Rai A, Maruping L M, Venkatesh V. Offshore information systems project success: the role of social embeddedness and cultural characteristics[J]. MIS Quarterly, 2009, 33(3):617-641.
[6] 杨建君, 杨慧军, 马婷. 集体主义文化和个人主义文化对技术创新方式的影响-信任的调节[J]. 管理科学, 2013, 26(6):1-11.
[7] Choi SY, Lee H, Yoo Y. The impact of information technology and transactive memory systems on knowledge sharing, application, and team performance: A field study[J]. MIS Quarterly, 2010, 34(4):855-870.
[8] Srite M, Karahanna E. The role of espoused national cultural values in technology acceptance[J]. MIS Quarterly,2006, 30(3):679-704.
[9] Hofstede GH. Culture's consequences: International differences in work-related values[M]. Thousand Oaks,Califorria,USA:Sage Publications, 1984.
[10] Straub D, Loch K, Roberto Evaristo, et al. Toward a theory-based measurement of culture[J]. Human Factors in Information Systems, 2002, 10(1):13-23.
[11] Campbell A. Cultural identity as a social construct[J]. Intercultural Education, 2000, 11(1):31-39.
[12] 陈晓萍. 跨文化管理[M]. 北京:清华大学出版社, 2009.
[13] 于米. 个人/集体主义倾向与知识分享意愿间的关系研究-知识活性的调节作用[J]. 南开管理评论, 2011, 14(6):149-157.
[14] Tyler TR, Lind EA, Huo YJ. Cultural values and authority relations: The psychology of conflict resolution across cultures[J]. Psychology, Public Policy, and Law, 2000, 6(4):1138-1164.
[15] 张军, 许庆瑞, 张素平. 知识积累, 知识激活与创新能力关系研究[J]. 中国管理科学, 2014, 22(010):142-148.
[16] Håkansson H, Waluszewski A. Path dependence: Restricting or facilitating technical development?[J]. Journal of Business Research, 2002, 55(7):561-570.
[17] 谭云清, 马永生, 李元旭. 社会资本, 动态能力对创新绩效的影响: 基于我国国际接包企业的实证研究[J]. 中国管理科学, 2013, 21(11):784-789.
[18] Goncalo JA, Staw BM. Individualism-collectivism and group creativity[J]. Organizational Behavior and Human Decision Processes, 2006, 100(1):96-109.
[19] Williams LK, McGuire SJ. Economic creativity and innovation implementation: The entrepreneurial drivers of growth? Evidence from 63 countries[J]. Small Business Economics, 2008, 34(4):391-412.
[20] Hair Jr JF, Hult GTM, Ringle C, et al. A primer on partial least squares structural equation modeling (PLS-SEM)[M]. Thousand Oaks,California,USA:Sage Publications, 2013.
[21] Yuan Feirong, Woodman RW. Innovative behavior in the workplace: The role of performance and image outcome expectations[J]. Academy of Management Journal, 2010, 53(2):323-342.
[22] Koh C, Ang S, Straub DW. IT outsourcing success: A psychological contract perspective[J]. Information Systems Research,2004, 15(4):356-373.
[23] 陈晓萍, 徐淑英, 樊景立. 组织与管理研究的实证方法[M]. 北京: 北京大学出版社, 2008.
[24] Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error[J]. Journal of Marketing Research, 1981, 18(1):39-50.
[25] King WR, Teo TSH. Key dimensions of facilitators and inhibitors for the strategic use of information technology[J]. Journal of Management Information Systems. 1996, 12(4):35-53.
[26] Straub D, Boudreau M-C, Gefen D. Validation guidelines for IS positivist research[J]. Communications of the Association for Information Systems, 2004, 13(24):380-427.
[27] Chin WW, Marcolin BL, Newsted PR. A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study[J]. Information Systems Research, 2003, 14(2):189-217.