The configuration between supply chain integration and information technology competency: A resource orchestration perspective

Abstract Research indicates that deploying appropriate information technology (IT) competency in a manner that fits the supply chain integration (SCI) of a firm induces superior firm performance; however, our understanding of how to empirically conceptualize and assess the performance effect of the fit remains limited. Drawing upon resource orchestration theory and the literature on fit assessment methodologies, our study employs both a contingency and a configuration perspective to conceptualize and operationalize “fit.” The results of a survey of 196 firms in China provide the first empirical evidence for the existence and nature of interrelationships between multiple components of SCI and IT competency and their effects on firm performance. In particular, fit as “moderation” approach indicates that IT competency could strengthen the relationship between SCI and both operational and financial performance. Fit as “profile deviation” approach further reveals that the more similar the IT competency configurations are to those of the top performers in the high-level SCI group, the higher their operational and financial performance are. However, in the medium- and low-level SCI groups, the SCI-IT competency fit is significantly positively associated with financial performance and insignificantly associated with operational performance. The theoretical contributions and managerial implications of the study are discussed.

[1]  Judy A. Siguaw,et al.  Formative versus Reflective Indicators in Organizational Measure Development: A Comparison and Empirical Illustration , 2006 .

[2]  Gautam Ray,et al.  Information Technology and the Performance of the Customer Service Process: A Resource-Based Analysis , 2005, MIS Q..

[3]  X. Koufteros Testing a model of pull production: a paradigm for manufacturing research using structural equation modeling , 1999 .

[4]  Vernon J. Richardson,et al.  Information systems for collaborating versus transacting: Impact on manufacturing plant performance in the presence of demand volatility , 2013 .

[5]  Neil A. Morgan,et al.  A Configuration Theory Assessment of Marketing Organization Fit with Business Strategy and Its Relationship with Marketing Performance , 2003 .

[6]  Viswanath Venkatesh,et al.  IT, Supply Chain, and Services: Looking Ahead , 2013 .

[7]  Dong-Young Kim,et al.  Understanding supplier structural embeddedness: A social network perspective , 2014 .

[8]  Varun Grover,et al.  Interorganizational System Characteristics and Supply Chain Integration: An Empirical Assessment , 2011, Decis. Sci..

[9]  Augustine A. Lado,et al.  Inter‐organizational communication as a relational competency: Antecedents and performance outcomes in collaborative buyer–supplier relationships , 2008 .

[10]  Jan-Willem Stoelhorst,et al.  The Emergence and Evolution of the Multidimensional Organization , 2009 .

[11]  Omar El Sawy,et al.  Absorptive Capacity Configurations in Supply Chains: Gearing for Partner-Enabled Market Knowledge Creation , 2005, MIS Q..

[12]  Waleed A. Muhanna,et al.  IT capabilities and firm performance: A contingency analysis of the role of industry and IT capability type , 2009, Inf. Manag..

[13]  Muhammad Usman Ahmed,et al.  Do a country's logistical capabilities moderate the external integration performance relationship? , 2014 .

[14]  Thompson S. H. Teo,et al.  Assimilation and Diffusion of Web Technologies in Supply-Chain Management: An Examination of Key Drivers and Performance Impacts , 2004, Int. J. Electron. Commer..

[15]  M. Cao,et al.  Supply chain collaboration: Impact on collaborative advantage and firm performance , 2011 .

[16]  Elie Ofek,et al.  Manufacturer Benefits from Information Integration with Retail Customers , 2004, Manag. Sci..

[17]  Tobias Schoenherr,et al.  Revisiting the arcs of integration: Cross-validations and extensions , 2012 .

[18]  Chee Yew Wong,et al.  The contingency effects of environmental uncertainty on the relationship between supply chain integration and operational performance , 2011 .

[19]  Paul A. Pavlou,et al.  The 'Third Hand': IT-Enabled Competitive Advantage in Turbulence Through Improvisational Capabilities , 2009, Inf. Syst. Res..

[20]  Eric K. Clemons,et al.  Impactful Research on Transformational Information Technology: An Opportunity to Inform New Audiences , 2013, MIS Q..

[21]  Anandhi S. Bharadwaj,et al.  A Resource-Based Perspective on Information Technology Capability and Firm Performance: An Empirical Investigation , 2000, MIS Q..

[22]  C. Lance,et al.  The Sources of Four Commonly Reported Cutoff Criteria , 2006 .

[23]  Angappa Gunasekaran,et al.  Information systems in supply chain integration and management , 2004, Eur. J. Oper. Res..

[24]  Blake Ives,et al.  Review: IT-Dependent Strategic Initiatives and Sustained Competitive Advantage: A Review and Synthesis of the Literature , 2005, MIS Q..

[25]  David G. Sirmon,et al.  Managing Firm Resources in Dynamic Environments to Create Value: Looking Inside the Black Box , 2007 .

[26]  Hau L. Lee,et al.  e-Business and Supply Chain Integration , 2004 .

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

[28]  Neil A. Morgan,et al.  Benchmarking Marketing Capabilities for Sustainable Competitive Advantage , 2005 .

[29]  Baofeng Huo,et al.  The impact of internal integration and relationship commitment on external integration , 2011 .

[30]  Baofeng Huo,et al.  The Effects of Competitive Environment on Supply Chain Information Sharing and Performance: An Empirical Study in China , 2014 .

[31]  Jeffrey G. Covin,et al.  Entrepreneurial strategy making and firm performance: tests of contingency and configurational models , 1997 .

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

[33]  Thiagarajan Ravichandran,et al.  Information Technology, Network Structure, and Competitive Action , 2010, Inf. Syst. Res..

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

[35]  Zhongsheng Hua,et al.  The Impact of IT Capabilities on Firm Performance: The Mediating Roles of Absorptive Capacity and Supply Chain Agility , 2013, Decis. Support Syst..

[36]  Carol Stoak Saunders,et al.  Information Processing View of Organizations: An Exploratory Examination of Fit in the Context of Interorganizational Relationships , 2005, J. Manag. Inf. Syst..

[37]  M. Frohlich,et al.  Arcs of integration: an international study of supply chain strategies , 2001 .

[38]  N. Sanders An empirical study of the impact of e-business technologies on organizational collaboration and performance , 2007 .

[39]  Terry Anthony Byrd,et al.  An Exploratory Analysis of the Value of the Skills of IT Personnel: Their Relationship to IS Infrastructure and Competitive Advantage , 2001, Decis. Sci..

[40]  Qing Cao,et al.  The impact of alignment between virtual enterprise and information technology on business performance in an agile manufacturing environment , 2005 .

[41]  Morgan Swink,et al.  Leveraging Supply Chain Integration through Planning Comprehensiveness: An Organizational Information Processing Theory Perspective , 2015, Decis. Sci..

[42]  V. Sambamurthy,et al.  Information Technology Assimilation in Firms: The Influence of Senior Leadership and IT Infrastructures , 1999, Inf. Syst. Res..

[43]  Andy Neely,et al.  Performance measurement system design , 1995 .

[44]  Rajdeep Grewal,et al.  Information Technology Competencies, Organizational Agility, and Firm Performance: Enabling and Facilitating Roles , 2013, Inf. Syst. Res..

[45]  V. Daniel R. Guide,et al.  Notes from the Editors: Redefining some methodological criteria for the journal ☆ , 2015 .

[46]  Augustine A. Lado,et al.  Strategic purchasing, supply management, and firm performance , 2004 .

[47]  Waleed A. Muhanna,et al.  Information Technology and Process Performance: An Empirical Investigation of the Interaction Between IT and Non-IT Resources , 2008, Decis. Sci..

[48]  Arun Rai,et al.  Research Commentary - Information Technology-Enabled Business Models: A Conceptual Framework and a Coevolution Perspective for Future Research , 2014, Inf. Syst. Res..

[49]  T. C. Edwin Cheng,et al.  Value of Information Integration to Supply Chain Management: Roles of Internal and External Contingencies , 2011, J. Manag. Inf. Syst..

[50]  N. Venkatraman Performance Implications Of Strategic Coalignment: A Methodological Perspective , 1990 .

[51]  Robert J. Vokurka,et al.  The empirical assessment of construct validity , 1998 .

[52]  Rajiv Sabherwal,et al.  Strategic Alignment Between Business and Information Technology: A Knowledge-Based View of Behaviors, Outcome, and Consequences , 2006, J. Manag. Inf. Syst..

[53]  Eve D. Rosenzweig A contingent view of e-collaboration and performance in manufacturing , 2009 .

[54]  Arun Rai,et al.  Bridging and Bonding in Exchange Networks: A Structural Embeddedness Perspective of B2B Digital Intermediation , 2011, IEEE Transactions on Engineering Management.

[55]  R. Narasimhan,et al.  Supplier integration—Finding an optimal configuration , 2006 .

[56]  R. Sohi,et al.  IT competency and firm performance: is organizational learning a missing link? , 2003 .

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

[58]  Mayuram S. Krishnan,et al.  The Effect of Information Technology-Enabled Flexibility on Formation and Market Value of Alliances , 2013, Manag. Sci..

[59]  Shaohan Cai,et al.  Implementing supply chain information integration in China: The role of institutional forces and trust⋆ , 2010 .

[60]  Varun Grover,et al.  Examining the Relational Benefits of Improved Interfirm Information Processing Capability in Buyer-Supplier Dyads , 2013, MIS Q..

[61]  Clint Chadwick,et al.  Resource orchestration in practice: CEO emphasis on SHRM, commitment‐based HR systems, and firm performance , 2015 .

[62]  Hao Zhang,et al.  Revenue Sharing and Information Leakage in a Supply Chain , 2012, Manag. Sci..

[63]  Adams B. Steven,et al.  Global sourcing and quality recalls: An empirical study of outsourcing-supplier concentration-product recalls linkages , 2014 .

[64]  Nicolaj Siggelkow Change in the Presence of Fit: the Rise, the Fall, and the Renaissance of Liz Claiborne , 2001 .

[65]  Kevin Zhu,et al.  Research Note - Do Electronic Linkages Reduce the Bullwhip Effect? An Empirical Analysis of the U.S. Manufacturing Supply Chains , 2012, Inf. Syst. Res..

[66]  R. Duane Ireland,et al.  Resource Orchestration to Create Competitive Advantage , 2010 .

[67]  I. Chen,et al.  Strategic buyer-supplier relationships, information technology and external logistics integration , 2007 .

[68]  Arun Rai,et al.  Leveraging IT Capabilities and Competitive Process Capabilities for the Management of Interorganizational Relationship Portfolios , 2010, Inf. Syst. Res..

[69]  Nilesh Saraf,et al.  IS Application Capabilities and Relational Value in Interfirm Partnerships , 2007, Inf. Syst. Res..

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

[71]  Martin Wetzels,et al.  Developing supplier integration capabilities for sustainable competitive advantage: A dynamic capabilities approach , 2014 .

[72]  T. Simatupang,et al.  The collaboration index: a measure for supply chain collaboration , 2005 .

[73]  Omar El Sawy,et al.  Leveraging Standard Electronic Business Interfaces to Enable Adaptive Supply Chain Partnerships , 2007, Inf. Syst. Res..

[74]  Salvatore Sciascia,et al.  Resource orchestration in family firms: investigating how entrepreneurial orientation, generational involvement, and participative strategy affect performance , 2011 .

[75]  Ying Lu,et al.  Understanding the Link Between Information Technology Capability and Organizational Agility: An Empirical Examination , 2011, MIS Q..

[76]  Malte Brettel,et al.  Configurations of resources and capabilities and their performance implications: an exploratory study on technology ventures , 2010 .

[77]  S. Henneberg,et al.  Assessing the strategic fit between business strategies and business relationships in knowledge-intensive business services , 2013 .

[78]  Marcus A. Bellamy,et al.  The influence of supply network structure on firm innovation , 2014 .

[79]  V. Mahajan,et al.  An analysis of e-business adoption and its impact on business performance , 2003 .

[80]  Hau L. Lee,et al.  Information sharing in a supply chain , 2000, Int. J. Manuf. Technol. Manag..

[81]  Kevin Zheng Zhou,et al.  Are relational ties always good for knowledge acquisition? Buyer–supplier exchanges in China , 2014 .

[82]  M. Frohlich,et al.  Demand chain management in manufacturing and services: web-based integration, drivers and performance , 2002 .

[83]  Roger Calantone,et al.  A Contingent View of Quality Management-The Impact of International Competition on Quality , 2000, Decis. Sci..

[84]  M. Wade,et al.  Review: the resource-based view and information systems research: review, extension, and suggestions for future research , 2004 .

[85]  J. MacKinnon,et al.  Estimation and inference in econometrics , 1994 .

[86]  Neil A. Morgan,et al.  The impact of product market strategy-organizational culture fit on business performance , 2011 .

[87]  John N. Pearson,et al.  Strategically managed buyer–supplier relationships and performance outcomes , 1999 .

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

[89]  W. C. Benton,et al.  Supply chain partnerships: Opportunities for operations research , 1997 .

[90]  Daniel R. Krause,et al.  The relationships between supplier development, commitment, social capital accumulation and performance improvement , 2007 .