Employees’ Exploration of Complex Systems: An Integrative View

Abstract Based on the theory of effective use and adaptive structuration theory, we propose that employees’ system exploration behavior can be affected by factors related to three major components: task, system, and organizational environment. Specifically, we examine how task characteristics (job autonomy and task variety), system complexity, and innovation climate jointly affect employees’ exploration, which, in turn, leads to extended use of enterprise systems. A field survey of enterprise resource planning (ERP) users yields several interesting findings. First, job autonomy and task variety directly enhance system exploration. Second, system complexity plays a moderating role by strengthening the relationship between job autonomy and exploration and weakening the relationship between task variety and exploration. Third, innovation climate, also acting as a moderator, strengthens both the impact of job autonomy on exploration and the impact of system exploration on extended use. This research contributes to information systems (IS) research by theoretically articulating that system exploration is subject to the simultaneous influences of task, system, and organizational environment factors and empirically testing these factors’ main effects and interactions to shed new light on system exploration research. It also contributes to IS practice by suggesting that organizations could enhance employees’ system exploration and facilitate the transition from exploration to extended use by increasing job autonomy and task variety, designing personalized training programs to reduce system complexity, and developing organizational climates that foster innovations.

[1]  Marilyn E. Gist,et al.  Self-Efficacy: A Theoretical Analysis of Its Determinants and Malleability , 1992 .

[2]  Mark L. Gillenson,et al.  Employee Relationship Management: Applying the Concept of Personalization to U.S. Navy Sailors , 2004, Inf. Syst. Manag..

[3]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[4]  Michael E. Wallace,et al.  Innovation in health care teams. , 1991 .

[5]  P. Tierney,et al.  Creative Self-Efficacy: Its Potential Antecedents and Relationship to Creative Performance , 2002 .

[6]  E. Rogers,et al.  Diffusion of innovations , 1964, Encyclopedia of Sport Management.

[7]  Xianggui Qu,et al.  Multivariate Data Analysis , 2007, Technometrics.

[8]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[9]  G. R. Oldham,et al.  Employee Creativity: Personal and Contextual Factors at Work , 1996 .

[10]  Hui Liao,et al.  Doing the right thing without being told: joint effects of initiative climate and general self-efficacy on employee proactive customer service performance. , 2012, The Journal of applied psychology.

[11]  Filipe Coelho,et al.  Job Characteristics and the Creativity of Frontline Service Employees , 2010 .

[12]  Richard P. DeShon,et al.  Climate perceptions matter: a meta-analytic path analysis relating molar climate, cognitive and affective states, and individual level work outcomes. , 2003, The Journal of applied psychology.

[13]  Roy Radner,et al.  On the allocation of effort , 1975 .

[14]  Arjen van Witteloostuijn,et al.  From the Editors: Common method variance in international business research , 2010 .

[15]  J. Dickson,et al.  R&D Work Climate and Innovation in Semiconductors , 1983 .

[16]  W. Orlikowski The Duality of Technology: Rethinking the Concept of Technology in Organizations , 2014 .

[17]  Cary L. Cooper,et al.  Occupational differences in the work–strain relationship: Towards the use of situation-specific models. , 1999 .

[18]  Yajiong Xue,et al.  Ensuring Employees' IT Compliance: Carrot or Stick? , 2013, Inf. Syst. Res..

[19]  J. Sweller COGNITIVE LOAD THEORY, LEARNING DIFFICULTY, AND INSTRUCTIONAL DESIGN , 1994 .

[20]  J. Pfeffer,et al.  A social information processing approach to job attitudes and task design. , 1978, Administrative science quarterly.

[21]  A. Edmondson Psychological Safety and Learning Behavior in Work Teams , 1999 .

[22]  Stephen J. Gerras,et al.  Climate as a moderator of the relationship between leader-member exchange and content specific citizenship: safety climate as an exemplar. , 2003, The Journal of applied psychology.

[23]  AttewellPaul Technology Diffusion and Organizational Learning , 1992 .

[24]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[25]  F. Paas,et al.  Cognitive Load Theory and Instructional Design: Recent Developments , 2003 .

[26]  Jayashankar M. Swaminathan,et al.  A Matter of Balance: Specialization, Task Variety, and Individual Learning in a Software Maintenance Environment , 2009, Manag. Sci..

[27]  D. O'Leary,et al.  Enterprise Resource Planning Systems Systems , Life Cycle , Electronic Commerce , and Risk , 2002 .

[28]  Birgit Schyns,et al.  The Influence of Occupational Self-Efficacy on the Relationship of Leadership Behavior and Preparedness for Occupational Change , 2003 .

[29]  Wesley M. Cohen,et al.  What Makes Them Tick? Employee Motives and Firm Innovation , 2008, Manag. Sci..

[30]  Ritu Agarwal,et al.  A Conceptual and Operational Definition of Personal Innovativeness in the Domain of Information Technology , 1998, Inf. Syst. Res..

[31]  Enno Siemsen,et al.  Common Method Bias in Regression Models With Linear, Quadratic, and Interaction Effects , 2010 .

[32]  John Sweller,et al.  Cognitive Load Theory , 2020, Encyclopedia of Education and Information Technologies.

[33]  Yajiong Xue,et al.  Team climate, empowering leadership, and knowledge sharing , 2011, J. Knowl. Manag..

[34]  Weidong Xia,et al.  Complexity of Information Systems Development Projects: Conceptualization and Measurement Development , 2005, J. Manag. Inf. Syst..

[35]  Sean Xin Xu,et al.  Extracting Business Value from IT: A Sensemaking Perspective of Post-Adoptive Use , 2011, Manag. Sci..

[36]  E. Clemons,et al.  Newly vulnerable markets in an age of pure information products: an analysis of online music and online news , 2002, Proceedings of the 35th Annual Hawaii International Conference on System Sciences.

[37]  Marie-Claude Boudreau,et al.  Enacting Integrated Information Technology: A Human Agency Perspective , 2005, Organ. Sci..

[38]  Shoshana Zuboff In the Age of the Smart Machine , 1988 .

[39]  Amin Rajan,et al.  In the age of the smart machine , 1990 .

[40]  L. G. Tornatzky,et al.  Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings , 1982, IEEE Transactions on Engineering Management.

[41]  Paul E. Spector Perceived Control by Employees: A Meta-Analysis of Studies Concerning Autonomy and Participation at Work , 1986 .

[42]  A. McAfee Mastering the three worlds of information technology , 2006 .

[43]  Rosabeth Moss Kanter,et al.  When a Thousand Flowers Bloom: Structural, Collective, and Social Conditions for Innovation in Organization , 2000 .

[44]  Qing Hu,et al.  Assimilation of Enterprise Systems: The Effect of Institutional Pressures and the Mediating Role of Top Management , 2007, MIS Q..

[45]  SharmaRajeev,et al.  The contingent effects of training, technical complexity, and task interdependence on successful information systems implementation , 2007 .

[46]  Robert W. Zmud,et al.  A Comprehensive Conceptualization of Post-Adoptive Behaviors Associated with Information Technology Enabled Work Systems , 2005, MIS Q..

[47]  Wei Wang,et al.  ScholarWorks @ Georgia State University , 2022 .

[48]  N. Allen,et al.  Assessing dissimilarity relations under missing data conditions: evidence from computer simulations. , 2007, The Journal of applied psychology.

[49]  Detmar W. Straub,et al.  Reconceptualizing System Usage: An Approach and Empirical Test , 2006, Inf. Syst. Res..

[50]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[51]  J. J. Po-An Hsieh,et al.  Motivational Differences Across Post-Acceptance Information System Usage Behaviors: An Investigation in the Business Intelligence Systems Context , 2013, Inf. Syst. Res..

[52]  Teresa M. Amabile,et al.  Assessing the Work Environment for Creativity , 1996 .

[53]  Robert Karasek,et al.  Job decision latitude and mental strain: Implications for job redesign , 1979 .

[54]  Wynne W. Chin The partial least squares approach for structural equation modeling. , 1998 .

[55]  Michael J. Gallivan,et al.  ORGANIZATIONS: A MULTILEVEL PERSPECTIVE , 2007 .

[56]  Pradeep K. Tyagi Relative Importance of Key Job Dimensions and Leadership Behaviors in Motivating Salesperson Work Performance , 1985 .

[57]  J. J. Po-An Hsieh,et al.  Impact of Transformational Leadership on System Exploration in the Mandatory Organizational Context , 2007, ICIS.

[58]  Chuan-Hoo Tan,et al.  Inducing Intrinsic Motivation to Explore the Enterprise System: The Supremacy of Organizational Levers , 2012, J. Manag. Inf. Syst..

[59]  John Sweller,et al.  Cognitive Load During Problem Solving: Effects on Learning , 1988, Cogn. Sci..

[60]  Radhika Santhanam,et al.  A Longitudinal Field Study of Training Practices in a Collaborative Application Environment , 2003, J. Manag. Inf. Syst..

[61]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[62]  B. Price A First Course in Factor Analysis , 1993 .

[63]  Tobias Schoenherr,et al.  Enterprise Systems Complexity and its Antecedents: A Grounded-Theory Approach , 2010 .

[64]  N. Anderson,et al.  Measuring climate for work group innovation: development and validation of the team climate inventory , 1998 .

[65]  Detmar W. Straub,et al.  An Update and Extension to SEM Guidelines for Admnistrative and Social Science Research , 2011 .

[66]  H. Liao,et al.  A MULTILEVEL INVESTIGATION OF FACTORS INFLUENCING EMPLOYEE SERVICE PERFORMANCE AND CUSTOMER OUTCOMES , 2004 .

[67]  Richard,et al.  Motivation through the Design of Work: Test of a Theory. , 1976 .

[68]  Naresh K. Malhotra,et al.  Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research , 2006, Manag. Sci..

[69]  Herbert A. Simon,et al.  The Sciences of the Artificial , 1970 .

[70]  S. Parnes,et al.  Applied Creativity: The Creative Studies Project: Part II--Results of the Two-Year Program. , 1972 .

[71]  Massimo Magni,et al.  Innovating with technology in team contexts: A trait activation theory perspective , 2011, ICIS.

[72]  Adler,et al.  Flexibility versus efficiency? A case study of model changeovers in the Toyota production system , 1999 .

[73]  Daniel E. O'Leary,et al.  Knowledge management across the enterprise resource planning systems life cycle , 2002, Int. J. Account. Inf. Syst..

[74]  S. Parker,et al.  Enhancing role breadth self-efficacy: the roles of job enrichment and other organizational interventions. , 1998, The Journal of applied psychology.

[75]  Straub,et al.  Editor's Comments: An Update and Extension to SEM Guidelines for Administrative and Social Science Research , 2011 .

[76]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[77]  R. Woodman,et al.  Innovative Behavior in the Workplace: The Role of Performance and Image Outcome Expectations , 2010 .

[78]  Jacob Cohen Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.

[79]  Monica A Hemingway,et al.  The importance of job autonomy, cognitive ability, and job-related skill for predicting role breadth and job performance. , 2005, The Journal of applied psychology.

[80]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[81]  Teresa M. Amabile,et al.  Children's Artistic Creativity , 1984 .

[82]  A. Bandura,et al.  Differential engagement of self-reactive influences in cognitive motivation , 1986, Organizational Behavior and Human Decision Processes.

[83]  Yajiong Xue,et al.  Punishment, Justice, and Compliance in Mandatory IT Settings , 2011, Inf. Syst. Res..

[84]  Jeanne W. Ross,et al.  Learning to Implement Enterprise Systems: An Exploratory Study of the Dialectics of Change , 2002, J. Manag. Inf. Syst..

[85]  Susan V. Scott,et al.  10 Sociomateriality: Challenging the Separation of Technology, Work and Organization , 2008 .

[86]  W StraubDetmar,et al.  Reconceptualizing System Usage , 2006 .

[87]  L. F. Lages,et al.  Contextual Factors and the Creativity of Frontline Employees: The Mediating Effects of Role Stress and Intrinsic Motivation , 2011 .

[88]  J. Dickson,et al.  R&D Work Climate and Innovation in Semiconductors , 1983 .

[89]  Massimo Magni,et al.  What's the Weather Like? The Effect of Team Learning Climate, Empowerment Climate, and Gender on Individuals' Technology Exploration and Use , 2012, J. Manag. Inf. Syst..

[90]  F.J.R. van de Vijver,et al.  Methods and Data Analysis for Cross-Cultural Research , 1997 .

[91]  E. Deci,et al.  Self-determination in a work organization. , 1989 .

[92]  F. Bookstein,et al.  Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory , 1982 .

[93]  Iris Vessey,et al.  The Effect of User Involvement on System Success: A Contingency Approach , 1988, MIS Q..

[94]  Guangping Wang,et al.  The effects of job autonomy, customer demandingness, and trait competitiveness on salesperson learning, self-efficacy, and performance , 2002 .

[95]  A. Burton-Jones Minimizing Method Bias Through Programmatic Research , 2009 .

[96]  Jacob Cohen,et al.  Applied multiple regression/correlation analysis for the behavioral sciences , 1979 .

[97]  M. Lindell,et al.  Accounting for common method variance in cross-sectional research designs. , 2001, The Journal of applied psychology.

[98]  P. Cardona,et al.  Modularity, strategic flexibility, and firm performance: A study of the home appliance industry , 2002 .

[99]  Marianne Bradford,et al.  Examining the role of innovation diffusion factors on the implementation success of enterprise resource planning systems , 2003, Int. J. Account. Inf. Syst..

[100]  Robert W. Zmud,et al.  Behavioral Intention Formation in Knowledge Sharing: Examining the Roles of Extrinsic Motivators, Social-Psychological Factors, and Organizational Climate , 2005, MIS Q..

[101]  Lawrence R. James,et al.  An Examination of the Relationships between Psychological Climate and a VIE Model for Work Motivation. , 1974 .

[102]  G. Premkumar,et al.  Adoption of new information technologies in rural small businesses , 1999 .

[103]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[104]  Lawrence R. James,et al.  RELATIONSHIPS BETWEEN PSYCHOLOGICAL CLIMATE AND A VIE MODEL FOR WORK MOTIVATION1 , 1977 .

[105]  P. M. Podsakoff,et al.  Self-Reports in Organizational Research: Problems and Prospects , 1986 .

[106]  Gerardine DeSanctis,et al.  Capturing the Complexity in Advanced Technology Use: Adaptive Structuration Theory , 1994 .

[107]  S. Scott,et al.  DETERMINANTS OF INNOVATIVE BEHAVIOR: A PATH MODEL OF INDIVIDUAL INNOVATION IN THE WORKPLACE , 1994 .

[108]  T. Davenport Putting the enterprise into the enterprise system. , 1998, Harvard business review.

[109]  Stephen E. Humphrey,et al.  The Work Design Questionnaire (WDQ): developing and validating a comprehensive measure for assessing job design and the nature of work. , 2006, The Journal of applied psychology.

[110]  Chris F. Kemerer,et al.  The assimilation of software process innovations: an organizational learning perspective , 1997 .

[111]  Massimo Magni,et al.  'To play or not to play': A cross-temporal investigation using hedonic and instrumental perspectives to explain user intentions to explore a technology , 2010, Int. J. Hum. Comput. Stud..

[112]  Andrew Burton-Jones,et al.  From Use to Effective Use: A Representation Theory Perspective , 2013, Inf. Syst. Res..

[113]  Ryad Titah,et al.  Information System Use - Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use , 2007, Inf. Syst. Res..

[114]  M. Frese,et al.  Innovation is not enough: climates for initiative and psychological safety, process innovations, and firm performance , 2003 .

[115]  Rajeev Sharma,et al.  The Contingent Effects of Training, Technical Complexity, and Task Interdependence on Successful Information Systems Implementation , 2007, MIS Q..

[116]  Ritu Agarwal,et al.  The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies , 1997 .

[117]  P. Attewell Technology Diffusion and Organizational Learning: The Case of Business Computing , 1992 .

[118]  Yajiong Xue,et al.  Understanding the Influence of Team Climate on IT Use , 2010, J. Assoc. Inf. Syst..

[119]  Jason Bennett Thatcher,et al.  Moving Beyond Intentions and Toward the Theory of Trying: Effects of Work Environment and Gender on Post-Adoption Information Technology Use , 2005, MIS Q..

[120]  Cynthia Lee,et al.  Approaches to Scale Development in Chinese Management Research , 2006, Management and Organization Review.

[121]  Ritu Agarwal,et al.  Organizational Mechanisms for Enhancing User Innovation in Information Technology , 1999, MIS Q..

[122]  Ramesh K. Agarwal,et al.  A MODEL OF CREATIVITY AND INNOVATION IN ORGANIZATIONS , 2011 .

[123]  Michael A. West,et al.  The social psychology of innovation in groups. , 1990 .