The effects of IT-enabled supply chain process change on job and process outcomes: A longitudinal investigation

Abstract Prior research on information technology (IT)-enabled supply chain management (SCM) has primarily focused on macro-level issues (e.g., IT capabilities related to SCM, and SCM design and optimization) and outcomes (e.g., firm performance). There has been limited research that focuses on micro-level outcomes related to employees who actually execute SCM processes in organizations. These employee-level outcomes are important because successful implementation of SCM systems and processes hinges on SCM employees’ support and commitment. I develop and test a model positing that SCM employees’ perceptions of changes in their work process characteristics, i.e., process complexity and process rigidity, following a new SCM system implementation will influence their job outcomes, i.e., job performance, job satisfaction, job anxiety, and job security, and their perceptions of process outcomes, i.e., process performance and relationship quality. The model incorporates a holistic appraisal of the extent of change—change radicalness—as a mechanism between work process characteristics and outcomes. The model is supported in three studies conducted in the context of three different SCM system implementations (N = 278, 282, and 304, respectively). In particular, I found that individuals perceived a significant change in their work process characteristics following an SCM system implementation, and changes in work process characteristics had a significant impact on job and process outcomes. These findings contribute to the information systems and operations management literatures and their intersections by offering insights on challenges related to IT-enabled SCM innovation implementation in organizations.

[1]  Daniel F. Lynch,et al.  Examining supply chain relationships: Do buyer and supplier perspectives on collaborative relationships differ? , 2010 .

[2]  Brian T. Pentland,et al.  Sequential Variety in Work Processes , 2003, Organ. Sci..

[3]  Kalle Lyytinen,et al.  Explaining information systems change: a punctuated socio-technical change model , 2008, Eur. J. Inf. Syst..

[4]  Prakash J. Singh,et al.  The e-integration dilemma: The linkages between Internet technology application, trading partner relationships and structural change , 2007 .

[5]  Tonya Boone,et al.  The frontiers of eBusiness technology and supply chains , 2007 .

[6]  Diane M. Strong,et al.  Technological Embeddedness and Organizational Change , 2007, Organ. Sci..

[7]  Sanchoy K. Das,et al.  Modeling the flexibility of order quantities and lead-times in supply chains , 2003 .

[8]  Michael X Cohen Reading Dewey: Reflections on the Study of Routine , 2007 .

[9]  D. Rousseau Technological differences in job characteristics, employee satisfaction, and motivation: A synthesis of job design research and sociotechnical systems theory , 1977 .

[10]  Viswanath Venkatesh,et al.  Assimilation of Interorganizational Business Process Standards , 2007, Inf. Syst. Res..

[11]  Jeff K. Stratman,et al.  The impact of enterprise systems on corporate performance: A study of ERP, SCM, and CRM system implementations , 2007 .

[12]  Arun Rai,et al.  The moderating effects of supplier portfolio characteristics on the competitive performance impacts of supplier-facing process capabilities , 2012 .

[13]  M. Barratt,et al.  Exploring internal and external supply chain linkages: Evidence from the field , 2011 .

[14]  Y. Fried,et al.  THE VALIDITY OF THE JOB CHARACTERISTICS MODEL: A REVIEW AND META‐ANALYSIS , 1987 .

[15]  S. Parker Longitudinal effects of lean production on employee outcomes and the mediating role of work characteristics. , 2003, The Journal of applied psychology.

[16]  T. DeCotiis,et al.  Organizational Determinants of Job Stress , 1983 .

[17]  David Chan,et al.  The Conceptualization and Analysis of Change Over Time: An Integrative Approach Incorporating Longitudinal Mean and Covariance Structures Analysis (LMACS) and Multiple Indicator Latent Growth Modeling (MLGM) , 1998 .

[18]  Viswanath Venkatesh,et al.  Job Characteristics and Job Satisfaction: Understanding the Role of Enterprise Resource , 2010, MIS Q..

[19]  R. Karasek Demand/Control model : a social, emotional, and physiological approach to stress risk and active behaviour development , 1998 .

[20]  J. Barney,et al.  CAPABILITIES, BUSINESS PROCESSES, AND COMPETITIVE ADVANTAGE: CHOOSING THE DEPENDENT VARIABLE IN EMPIRICAL TESTS OF THE RESOURCE-BASED VIEW , 2004 .

[21]  Lawrence A. Crosby,et al.  Relationship Quality in Services Selling: An Interpersonal Influence Perspective: , 1990 .

[22]  Bhanu S. Ragu-Nathan,et al.  Development and validation of a measurement instrument for studying supply chain management practices , 2005 .

[23]  Karen A. Brown,et al.  Human resource issues in cellular manufacturing: A sociotechnical analysis , 1991 .

[24]  Helen Kelley,et al.  Research Commentary - Generalizability of Information Systems Research Using Student Subjects - A Reflection on Our Practices and Recommendations for Future Research , 2012, Inf. Syst. Res..

[25]  Lynda Aiman-Smith,et al.  Implementing New Manufacturing Technology: The Related Effects of Technology Characteristics and User Learning Activities , 2002 .

[26]  Viswanath Venkatesh,et al.  Changes in Employees' Job Characteristics During an Enterprise System Implementation: A Latent Growth Modeling Perspective , 2013, MIS Q..

[27]  Rogelio Oliva,et al.  Managing Functional Biases in Organizational Forecasts: A Case Study of Consensus Forecasting in Supply Chain Planning , 2009, Production and Operations Management.

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

[29]  Blecker,et al.  Complexity Management in Supply Chains: Concepts, Tools and Methods , 2006 .

[30]  Jerry C. Wei,et al.  Impact of eBusiness technologies on operational performance: The role of production information integration in the supply chain , 2007 .

[31]  T. Davis Effective supply chain management , 2020, Strategic Direction.

[32]  Martha S. Feldman,et al.  Designing routines: On the folly of designing artifacts, while hoping for patterns of action , 2008, Inf. Organ..

[33]  Arun Rai,et al.  Firm performance impacts of digitally enabled supply chain integration capabilities , 2006 .

[34]  Tracy Ann Sykes,et al.  Impacts of Information and Communication Technology Implementations on Employees' Jobs in Service Organizations in India: A Multi‐Method Longitudinal Field Study , 2010 .

[35]  R. Vandenberg,et al.  The role of change in the relationship between commitment and turnover: a latent growth modeling approach. , 2005, The Journal of applied psychology.

[36]  P. Adler,et al.  Two Types of Bureaucracy: Enabling and Coercive , 1996 .

[37]  Elliot Bendoly,et al.  Behavior in operations management: Assessing recent findings and revisiting old assumptions , 2006 .

[38]  Onne Janssen,et al.  Employees' goal orientations, the quality of leader-member exchange, and the outcomes of job performance and job satisfaction , 2004 .

[39]  Barbara B. Flynn,et al.  The impact of supply chain integration on performance: A contingency and configuration approach , 2010 .

[40]  M. Feldman,et al.  Reconceptualizing Organizational Routines as a Source of Flexibility and Change , 2003 .

[41]  Panos Kouvelis,et al.  Supply Chain Management Research and Production and Operations Management: Review, Trends, and Opportunities , 2006 .

[42]  G. Hult,et al.  Bridging organization theory and supply chain management: The case of best value supply chains , 2007 .

[43]  Mark S. Silver,et al.  Decisional Guidance for Computer-Based Decision Support , 1991, MIS Q..

[44]  Richard W. Woodman,et al.  Understanding organizational change: A schematic perspective , 1995 .

[45]  Robert P. Bostrom,et al.  MIS Problems and failures: a sociotechnical perspective part I: the cause , 1977 .

[46]  Elliot Rabinovich,et al.  Field research in operations and supply chain management , 2011 .

[47]  Steven D. Caldwell,et al.  Beyond change management: a multilevel investigation of contextual and personal influences on employees' commitment to change. , 2007, The Journal of applied psychology.

[48]  Sandra L. Fisher,et al.  Guest Editors' Note: Don't miss the boat: Research on HRM and supply chains , 2010 .

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

[50]  Mark A Griffin,et al.  Perceptions of organizational change: a stress and coping perspective. , 2006, The Journal of applied psychology.

[51]  Elizabeth George,et al.  External Solutions and Internal Problems: The Effects of Employment Externalization on Internal Workers' Attitudes , 2003, Organ. Sci..

[52]  Viswanath Venkatesh,et al.  Where To Go From Here? Thoughts on Future Directions for Research on Individual-Level Technology Adoption with a Focus on Decision Making , 2006, Decis. Sci..

[53]  C. Gersick REVOLUTIONARY CHANGE THEORIES: A MULTILEVEL EXPLORATION OF THE PUNCTUATED EQUILIBRIUM PARADIGM , 1991 .

[54]  Daniel A. Newman,et al.  How Important are Job Attitudes? Meta-Analytic Comparisons of Integrative Behavioral Outcomes and Time Sequences , 2006 .

[55]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[56]  G. Johns The Essential Impact of Context on Organizational Behavior , 2006 .

[57]  Viswanath Venkatesh,et al.  Adoption and Impacts of Interorganizational Business Process Standards: Role of Partnering Synergy , 2012, Inf. Syst. Res..

[58]  Anne Beaudry,et al.  Understanding User Responses to Information Technology: A Coping Model of User Adaption , 2005, MIS Q..

[59]  Powell E. Robinson,et al.  Flow Coordination and Information Sharing in Supply Chains: Review, Implications, and Directions for Future Research , 2002, Decis. Sci..

[60]  John D. Sterman,et al.  Operational and behavioral causes of supply chain instability , 2006 .

[61]  Enno Siemsen,et al.  Behavioral operations: The state of the field , 2013 .

[62]  I. Chen,et al.  Towards a theory of supply chain management: the constructs and measurements , 2004 .

[63]  D. Campbell Task Complexity: A Review and Analysis , 1988 .

[64]  Gary Klein,et al.  ERP Misfit: Country of Origin and Organizational Factors , 2006, J. Manag. Inf. Syst..

[65]  R. Wood Task complexity: Definition of the construct , 1986 .

[66]  Elliot Bendoly,et al.  Understanding behavioral sources of process variation following enterprise system deployment , 2008 .

[67]  C. Perrow A FRAMEWORK FOR THE COMPARATIVE ANALYSIS OF ORGANIZATIONS , 1967 .

[68]  D. W. Barclay,et al.  The Effects of Organizational Differences and Trust on the Effectiveness of Selling Partner Relationships , 1997 .

[69]  David F. Larcker,et al.  Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics: , 1981 .

[70]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

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

[72]  W. Orlikowski,et al.  Windows of Opportunity: Temporal Patterns of Technological Adaptation in Organizations , 2011 .

[73]  Lance,et al.  Latent Growth Models of Individual Change: The Case of Newcomer Adjustment. , 2000, Organizational behavior and human decision processes.

[74]  Viswanath Venkatesh,et al.  Model of Acceptance with Peer Support: A Social Network Perspective to Understand Employees' System Use , 2009, MIS Q..

[75]  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.

[76]  Viswanath Venkatesh,et al.  Enterprise System Implementation and Employee Job Performance: Understanding the Role of Advice Networks , 2014, MIS Q..

[77]  Raymond T. Sparrowe,et al.  The role of job security in understanding the relationship between employees' perceptions of temporary workers and employees' performance. , 2005, The Journal of applied psychology.

[78]  Cortlandt Cammann,et al.  Assessing the attitudes and perceptions of organizational members , 1983 .

[79]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..