信息系统使用对企业员工绩效影响的实证研究

›› 2017, Vol. 29 ›› Issue (6): 141-151.

信息系统使用对企业员工绩效影响的实证研究

王念新¹, 李清香¹, 倪丹¹, 葛世伦^1,2, 苏翔¹

1. 江苏科技大学经济管理学院, 镇江 212003;
2. 盐城工学院管理学院, 盐城 224051

收稿日期:2016-06-23 出版日期:2017-06-28 发布日期:2017-06-23
作者简介:王念新,江苏科技大学经济管理学院副教授,博士;李清香,江苏科技大学经济管理学院硕士研究生;倪丹,江苏科技大学经济管理学院硕士研究生;葛世伦,江苏科技大学经济管理学院和盐城工学院管理学院教授,博士生导师,博士;苏翔,江苏科技大学经济管理学院教授,博士生导师,博士
基金资助:
国家自然科学基金项目（71471079；71331003；71471078）；江苏高校青蓝工程资助项目

Effects of IT System Usage on Job Performance:An Empirical Study

Wang Nianxin¹, Li Qingxiang¹, Ni Dan¹, Ge Shilun^1,2, Su Xiang¹

1. School of Economics and Management, Jiangsu University of Science and Technology, Zhenjiang 212003;
2. School of Management, Yancheng Institute of Technology, Yancheng 224051

Received:2016-06-23 Online:2017-06-28 Published:2017-06-23

摘要/Abstract

摘要：

信息系统使用是实现信息系统商业价值的必要条件。现有研究发现信息系统使用对个人绩效有正向、负向或没有影响等三种截然不同的结论。为了进一步明确两者之间的关系，基于信息系统使用和人类行为动力学理论，使用企业100名信息系统用户的访问日志和绩效考评等客观数据，分析不同测量指标、不同性别和不同工龄情形下，信息系统使用对企业员工绩效的影响。研究结果表明：第一，选择信息系统使用的不同内涵和不同的测量指标，将导致信息系统使用与企业员工绩效之间关系的差异；第二，随着测量角度的增加，用户的信息系统使用频率对员工绩效的影响由不显著到显著；使用时间对员工绩效的影响始终不显著；使用功能数量则始终显著正向影响员工绩效；阵发性则始终显著负向影响员工绩效；第三，性别和工龄调节信息系统使用与企业员工绩效之间的关系，这也是导致两者关系研究结论不一致的原因。

关键词: 信息系统使用, 个人绩效, 人类行为动力学, 实证研究

Abstract:

Information system usage is a necessary condition for improving the business value of enterprise information system.Prior researches with regard to the relationship between system usage and individual performance have been inconsistent.Some researches conclude that system usage has a significant positive or negative effect on individual performance;other researches do not confirm the relationship.In order to confirm the relationship between system usage and individual performance,we conduct research models based on system usage and human dynamics theory.An empirical analysis is conducted by using the log data and performance evaluation data of 100 information system users and we hope to find the impact of system usage on job performance under different measurement models,different genders and work-ages.The results indicate that:(1) when using different definitions and measurement models of system usage,the relationship between system usage and individual performance shows the obvious diversity;(2) as more measurement angles are applied to system usage,the impact of frequency of system use on job performance starts to emerge;duration of system use always has a non-significant effect on job performance;system features use always has a significant positive effect on job performance;burstiness of system use always has a significant negative effect on job performance;(3) gender and work-age moderate the relationship between system usage and job performance.

Key words: system usage, individual performance, human dynamics, empirical study

王念新, 李清香, 倪丹, 葛世伦, 苏翔. 信息系统使用对企业员工绩效影响的实证研究[J]. , 2017, 29(6): 141-151.

Wang Nianxin, Li Qingxiang, Ni Dan, Ge Shilun, Su Xiang. Effects of IT System Usage on Job Performance:An Empirical Study[J]. , 2017, 29(6): 141-151.

参考文献

[1] Statista. Worldwide IT Spending on Enterprise Software from 2009 to 2020(in billion U.S. dollars)[DB/OL]. http://www.statista.com/statistics/203428/total-enterprise-software-revenue-forecast/, 2015
[2] Soh C., Markus M. L. How IT Creates Business Value:A Process Theory Synthesis[C]. Proceedings of the Sixteenth International Conference on Information Systems, 1995
[3] Orlikowski W. J. Using Technology and Constituting Structures:A Practice Lens for Studying Technology in Organizations[J]. Organization Science, 2000,11(4):404-428
[4] Burton-Jones A., Straub D. W. Reconceptualizing System Usage:An Approach and Empirical Test[J]. Information Systems Research, 2006,17(3):228-246
[5] Venkatesh V., Brown S. A., Maruping L. M., et al. Predicting Different Conceptualizations of System Use:The Competing Roles of Behavioral Intention, Facilitating Conditions, and Behavioral Expectation[J]. MIS Quarterly, 2008,32(3):483-502
[6] Sundaram S., Schwarz A., Jones E., et al. Technology Use on the Front Line:How Information Technology Enhances Individual Performance[J]. Journal of the Academy of Marketing Science, 2007,35(1):101-112
[7] Podsakoff P. M., MacKenzie S. B., Lee J. Y., et al. Common Method Biases in Behavioral Research:A Critical Review of the Literature and Recommended Remedies[J]. Journal of Applied Psychology, 2003,88(5):879-903
[8] Sharma R., Yetton P., Crawford J. Estimating the Effect of Common Method Variance:The Method-Method Pair Technique with an Illustration from TAM Research[J]. MIS Quarterly, 2009,33(3):473-490
[9] Benlian A. IT Feature Use over Time and Its Impact on Individual Task Performance[J]. Journal of the Association for Information Systems, 2015,16(3):144-173
[10] Sykes T. A., Venkatesh V., Rai A. Explaining Physicians' Use of EMR Systems and Performance in the Shakedown Phase[J]. Journal of the American Medical Informatics Association, 2011,18(2):125-130
[11] 周涛,韩筱璞,闫小勇,等. 人类行为时空特性的统计力学[J]. 电子科技大学学报, 2013,42(4):481-540
[12] Alavi M., Henderson J. C. An Evolutionary Strategy for Implementing a Decision Support System[J]. Management Science, 1981,27(11):1309-1323
[13] Venkatesh V., Morris M. G., Davis G. B., et al. User Acceptance of Information Technology:Toward a Unified View[J]. MIS quarterly, 2003,27(3):425-478
[14] Wu J. H., Wang S. C. What Drives Mobile Commerce?:An Empirical Evaluation of the Revised Technology Acceptance Model[J]. Information & Management, 2005,42(5):719-729
[15] Sun H. Understanding User Revisions When Using Information System Features:Adaptive System Use and Triggers[J]. MIS Quarterly, 2012,36(2):453-478
[16] Bagayogo F. F., Lapointe L., Bassellier G. Enhanced Use of IT:A New Perspective on Post-Adoption[J]. Journal of the Association for Information Systems, 2014,15(7):361-387
[17] Liang H., Peng Z., Xue Y., et al. Employees' Exploration of Complex Systems:An Integrative View[J]. Journal of Management Information Systems, 2015,32(1):322-357
[18] Li X., Hsieh P. A., Rai A. Motivational Differences Across Post-Acceptance Information System Usage Behaviors:An Investigation in the Business Intelligence Systems Context[J]. Information Systems Research, 2013,24(3):659-682
[19] 李倩,侯碧梅. 基于维持现状偏好理论的信息系统使用决策研究[J]. 管理评论, 2013,25(1):44-51
[20] Barki H., Titah R., Boffo C. Information System Use-related Activity:An Expanded Behavioral Conceptualization of Individual-level Information System Use[J]. Information Systems Research, 2007,18(2):173-192
[21] Sun H., Fricke M. Reexamining the Impact of System Use on Job Performance from the Perspective of Adaptive System Use[C]. AMCIS 2009 Proceedings, 2009
[22] Hsieh P. A., Rai A., Xu S. X. Extracting Business Value from IT:A Sensemaking Perspective of Post-adoptive use[J]. Management Science, 2011,57(11):2018-2039
[23] Hou C. K. Examining the Effect of User Satisfaction on System Usage and Individual Performance with Business Intelligence Systems:An Empirical Study of Taiwan's Electronics Industry[J]. International Journal of Information Management, 2012,32(6):560-573
[24] De Guinea A. O., Webster J. An Investigation of Information Systems Use Patterns:Technological Events as Triggers, The Effects of Time, and Consequences for Performance[J]. Mis Quarterly, 2013,37(4):1165-1188
[25] Tong Y., Tan S. L., Teo H. H. The Road to Early Success:Impact of System Use in the Swift Response Phase[J]. Information Systems Research, 2015,26(2):418-436
[26] Burton-Jones A., Grange C. From Use to Effective Use:A Representation Theory Perspective[J]. Information Systems Research, 2012,24(3):632-658
[27] Goh K. I., Barabási A. L. Burstiness and Memory in Complex Systems[J]. EPL (Europhysics Letters), 2008,81(4):48002
[28] Gefen D., Straub D. A Practical Guide to Factorial Validity Using PLS-Graph:Tutorial and Annotated Example[J]. Communications of the Association for Information Systems, 2005,16(1):91-109
[29] Chin W. W., Marcolin B. L., Newsted P. R. 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
[30] Aiken L., West S., Reno R. Multiple Regression:Testing and Interpreting Interactions[M]. New York:Sage, 1991