企业IT项目控制模式对绩效的影响研究

科研管理 ›› 2012, Vol. 33 ›› Issue (7): 112-120.

企业IT项目控制模式对绩效的影响研究

刘汕¹, 张金隆², 陈涛³

1. 华中科技大学管理学院,湖北武汉 430074;
2. 华中科技大学管理学院,华中科技大学现代信息管理研究中心, 湖北武汉 430074;
3. 华中科技大学公共管理学院,湖北武汉 430074

收稿日期:2010-09-04 修回日期:2011-06-27 出版日期:2012-07-27 发布日期:2012-07-19
基金资助:
中国博士后科学基金(20110491141):企业业务流程外包项目风险评估与控制模型研究(2011.7-2013.6);国家自然科学基金重点项目(70731001):移动商务的基础理论与技术方法研究(2008.1-2011.12);国家自然科学青年基金项目(70801031):电子政务环境下信息技术外包的风险治理模型研究(2009.1-2011.12)。

The effect of control modes on enterprise IT project performance

Liu Shan¹, Zhang Jinlong², Chen Tao³

1. School of Management, Huazhong University of Science and Technology, Wuhan 430074, China;
2. Research Center for Modern Information Management, Huazhong University of Scienceand Technology, Wuhan 430074, China;
3. College of Public Administration, Huazhong University of Science and Technology, Wuhan 430074, China

Received:2010-09-04 Revised:2011-06-27 Online:2012-07-27 Published:2012-07-19

摘要/Abstract

摘要： 成功控制IT项目一直是项目经理和用户关注的热点。在国内128家企业IT项目调查的基础上,从项目经理和用户代表的角度建立四种控制模式(行为、结果、价值观和自我控制)对IT项目绩效的影响模型,并通过实证分析比较各种控制模式对绩效的有效作用。结果表明在控制模式对绩效的作用上,项目经理和用户的看法存在相同点和不同点。二者均认为通过加强结果控制和价值观控制能有效提高过程绩效,同时过程绩效的提高有助于产品绩效的提升,但自我控制的作用不明显。不同的是,项目经理认为结果控制比行为控制更能促进过程绩效的提升,而用户认为结果控制和行为控制对于绩效的提升不存在显著差异。

关键词: IT项目管理, 控制模式, 绩效, 企业信息化

Abstract: Successfully controlling IT projects continues to be a primary concern by project managers and users. Based on the survey of IT projects from 128 Chinese enterprises, a model for examining the effect of four control modes (behavior, outcome, value, and self control) on IT project performance is created, and their relative importance are compared with each other. The results show that there are concordance and discordance on the effectiveness of control modes for project managers and users. From the perspective of both stakeholders, outcome control and value control have a positive effect on process performance, which is also positively related to product performance. However, self control does not have a significant effect on the performance. In addition, outcome control is relatively more important than behavior control on the process performance for the project managers, whereas the effect of these two control modes on performance has no significant different for the users.

Key words: IT project management, control mode, performance, enterprise informatization

中图分类号:

F270.7

刘汕, 张金隆, 陈涛. 企业IT项目控制模式对绩效的影响研究[J]. 科研管理, 2012, 33(7): 112-120.

Liu Shan, Zhang Jinlong, Chen Tao. The effect of control modes on enterprise IT project performance[J]. Science Research Management, 2012, 33(7): 112-120.

参考文献

[1] The standish Group, New Chaos numbers show starting results . http://www1.standishgroup.com/newsroom/chaos_2009.php. 2009.
[2] Henderson, J. and Lee, S. Managing I/S Design Teams: A Control Theories Perspective [J]. Management Science, 1992, 38(6): 757-777.
[3] Choudhury, V. and Sabherwal, R. Portfolios of Control in Outsourced Software Development Projects [J]. Information Systems Research, 2003, 14(3): 291-314.
[4] Kirsch, L. The Management of Complex Tasks in Organizations: Controlling the Systems Development Process [J]. Organization Science, 1996, 7(1): 1-21.
[5] Kirsch, L. Portfolios of Control Modes and IS Project Management [J]. Information Systems Research, 1997, 8(3): 215-239.
[6] Beath, C. M. Managing the User Relationship in Information Systems Development Projects: A Transaction Governance Approach . in: Proceeding of Eighth International Conference of Information Systems, Pittsburgh, PA, USA, 1987, 415-427.
[7] Kirsch, L., Sambamurthy, V., Ko, D. and Purvis, R. Controlling Information Systems Development Projects: The View from the Client [J]. Management Science, 2002, 48(4): 484-498.
[8] Kirsch, L. Deploying Common Systems Globally: The Dynamics of Control [J]. Information Systems Research, 2004, 15(4): 374-395.
[9] Klein, G., Beranek, P., Martz, B. and Jiang, J. The Relationship of Control and Learning to Project Performance [J]. Cybernetics and Systems: An International Journal, 2006, 37(2/3): 137-150.
[10] Nidumolu, S. and Subramani, M. The Matrix of Control: Combining Process and Structure Approaches to Managing Software Development [J]. Journal of Management Information Systems, 2003, 20(3): 159-196.
[11] Markus, M. L. and Mao, J. Participation in Development and Implementation--Updating an Old, Tired Concept for Today’s IS Contexts [J]. Journal of the Association for Information Systems, 2004, 5(11-12): 514-544.
[12] Eisenhardt, K. M. Control: Organizational and Economic Approaches [J]. Management Science, 1985, 31(2): 134-149.
[13] Ouchi, W. A Conceptual Framework for the Design of Organizational Control Mechanisms [J]. Management Science, 1979, 25(9): 833-848.
[14] Kirsch, L. and Cummings, L. Contextual Influences on Self-Control of IS Professionals Engaged in Systems Development [J]. Accounting, Management and Information Technologies, 1996, 6(3): 191-219.
[15] Ouchi, W. Markets, Bureaucracies, and Clans [J]. Administrative Science Quarterly, 1980, 25(1): 129-141.
[16] Jaworski, B. and Merchant, K. Toward a Theory of Marketing Control: Enviromental Context, Control Types, and Consequences [J]. Journal of Marketing, 1988, 52(3): 23-39.
[17] Nidumolu, S. The Effect of Coordination and Uncertainty on Software Project Performance: Residual Performance Risk as an Intervening Variable [J]. Information Systems Research, 1995, 6(3): 191-219.
[18] Wallace, L., Keil, M. and Rai, A. Understanding Software Project Risk: A Cluster Analysis [J]. Information & Management, 2004, 42(1): 115-125.
[19] Love, P. and Josephson, P. Role of Error-Recovery Process in Projects [J]. Journal of Management in Engineering, 2004, 20(2): 70-79.
[20] Petter, S., Straub, D. and Rai, A. Specifying Formative Constructs in Information Systems Research [J]. MIS Quarterly, 2007, 31(4): 623-656.
[21] Chin, W. W. The Partial Least Square Approach to Structural Equation Modeling [M]. in: G. A. Marcoulides (ed.) Modern Methods for Business Research. Mahwah, NJ: Lawrence Erlbaum, 1998, 150-170.
[22] Fornell, C. and Larcker, D. F. Evaluating Structural Equation Models with Unobservable Variables and Measurement Error [J]. Journal of Marketing Research 1981, 18(1): 39-50.
[23] Cohen, J., Cohen, P., West, S.G. and Aiken, L.S. Applied Multiple Regression / correlation Analysis for the Behavioral Sciences [M]. Mahwah, NJ: Lawrence Erlbaum Associates, 2003.