Adoption of cloud computing technologies in supply chains: An organizational information processing theory approach

Purpose – The purpose of this paper is to employ organizational information processing theory to assess how a firm's information processing requirements and capabilities combine to affect the intention to adopt cloud computing as an enabler of electronic supply chain management systems. Specifically, the paper examines the extent to which task uncertainty, environmental uncertainty, and inter‐organizational uncertainty affect intention to adopt cloud computing technology and how information processing capability may moderate these relationships.Design/methodology/approach – The paper uses a multiple method approach, thus examining the hypothesized model with both quantitative and qualitative methods. To begin, the paper incorporates a Delphi study as a way in which to choose a practically relevant characterization of the moderating variable, information processing capability. The authors then use a survey method and hierarchical linear regression to quantitatively test their hypotheses. Finally, the autho...

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

[2]  S. Siegel,et al.  Nonparametric Statistics for the Behavioral Sciences , 2022, The SAGE Encyclopedia of Research Design.

[3]  Uta Jüttner.  Supply chain risk management: Understanding the business requirements from a practitioner perspective , 2005 .

[4]  Terry Anthony Byrd,et al.  Measuring the Flexibility of Information Technology Infrastructure: Exploratory Analysis of a Construct , 2000, J. Manag. Inf. Syst..

[5]  B. Beamon.  Supply chain design and analysis:: Models and methods , 1998 .

[6]  Theodore P. Stank,et al.  WORLD CLASS LOGISTICS PERFORMANCE AND ENVIRONMENTALLY RESPONSIBLE LOGISTICS PRACTICES , 2000 .

[7]  Laura Johnson,et al.  How Many Interviews Are Enough? , 2006 .

[8]  G. A. Miller.  THE PSYCHOLOGICAL REVIEW THE MAGICAL NUMBER SEVEN, PLUS OR MINUS TWO: SOME LIMITS ON OUR CAPACITY FOR PROCESSING INFORMATION 1 , 1956 .

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

[10]  R. Duncan.  Characteristics of Organizational Environments and Perceived Environmental Uncertainty. , 1972 .

[11]  Chad W. Autry,et al.  The effects of technological turbulence and breadth on supply chain technology acceptance and adoption , 2010 .

[12]  P. van Beek,et al.  Supply chain management in food chains: improving performance by reducing uncertaintyPaper presented to the Seventh International Special Conference of IFORS: `Information Systems in Logistics and Transportation', Gothenburg, Sweden, 16–18 June 1997. , 1998 .

[13]  Steven E. Stemler,et al.  An Overview of Content Analysis. , 2001 .

[14]  Robert M. Davison,et al.  SME adoption of IT: the case of electronic trading systems , 2006, IEEE Transactions on Engineering Management.

[15]  Markham T. Frohlich,et al.  e-Integration in the Supply Chain: Barriers and Performance , 2002, Decis. Sci..

[16]  Minder Chen,et al.  Empowering collaborative commerce with Web services enabled business process management systems , 2007, Decis. Support Syst..

[17]  Charles N. Greene,et al.  An Evaluation of Causal Models Linking the Received Role with Job Satisfaction. , 1973 .

[18]  Morgan Swink,et al.  The Operations & Supply Management (OSM) Forum—A New Feature , 2008 .

[19]  Benjamin T. Hazen,et al.  Inter‐organizational IT use, cooperative attitude, and inter‐organizational collaboration as antecedents to contingency planning effectiveness , 2012 .

[20]  Klaus Krippendorff,et al.  Content Analysis: An Introduction to Its Methodology , 1980 .

[21]  Donald T. Campbell,et al.  Testing a Single-Factor Model as an Alternative to the Misuse of Partial Correlations in Hypothesis-Testing Research , 1970 .

[22]  A. Beulens,et al.  Identifying sources of uncertainty to generate supply chain redesign strategies , 2002 .

[23]  Frank L. Montabon,et al.  An examination of corporate reporting, environmental management practices and firm performance , 2007 .

[24]  H. Harman.  Modern factor analysis , 1961 .

[25]  Stephan M. Wagner,et al.  HANDLING NONRESPONSE IN LOGISTICS RESEARCH , 2010 .

[26]  Kenneth L. Kraemer,et al.  The Process of Innovation Assimilation by Firms in Different Countries: A Technology Diffusion Perspective on E-Business , 2006, Manag. Sci..

[27]  Kenneth K. Boyer,et al.  Extending the supply chain: Integrating operations and marketing in the online grocery industry , 2005 .

[28]  S. Rogelberg,et al.  Introduction Understanding and Dealing With Organizational Survey Nonresponse , 2007 .

[29]  G. Fenu,et al.  An approach to a Cloud Computing network , 2008, 2008 First International Conference on the Applications of Digital Information and Web Technologies (ICADIWT).

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

[31]  Travis Tokar.  Behavioural research in logistics and supply chain management , 2010 .

[32]  T. Garry,et al.  An overview of content analysis , 2003 .

[33]  Robert J. Vokurka,et al.  A conceptual model of supply chain flexibility , 2003, Ind. Manag. Data Syst..

[34]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[35]  R. Wilding.  The supply chain complexity triangle: Uncertainty generation in the supply chain , 1998 .

[36]  P. V. Beek,et al.  Supply Chain Management in Food Chains: Improving Performance by Reducing Uncertainty , 1998 .

[37]  Paul M. Swamidass,et al.  Manufacturing strategy, environmental uncertainty and performance: a path analytic model , 1987 .

[38]  Luis Rodero-Merino,et al.  A break in the clouds: towards a cloud definition , 2008, CCRV.

[39]  Nigel Melville,et al.  Information technology innovation diffusion: an information requirements paradigm , 2008, Inf. Syst. J..

[40]  Huan Liu,et al.  GridBatch: Cloud Computing for Large-Scale Data-Intensive Batch Applications , 2008, 2008 Eighth IEEE International Symposium on Cluster Computing and the Grid (CCGRID).

[41]  Ruth Jill Urbanic,et al.  Assessment of Manufacturing Operational Complexity , 2004 .

[42]  Alan Smart,et al.  eBusiness and supply chain integration , 2008, J. Enterp. Inf. Manag..

[43]  Yuliang Yao,et al.  An interorganizational perspective on the use of electronically-enabled supply chains , 2007, Decis. Support Syst..

[44]  Steven D. Eppinger,et al.  Special Issue on Design and Development: Sourcing By Design: Product Complexity and the Supply Chain , 2001, Manag. Sci..

[45]  M. Kendall,et al.  Rank Correlation Methods , 1949 .

[46]  Kenneth K. Boyer,et al.  Empirical Elephants—Why Multiple Methods are Essential to Quality Research in Operations and Supply Chain Management , 2008 .

[47]  Chanchai Tangpong,et al.  Content analytic approach to measuring constructs in operations and supply chain management , 2011 .

[48]  C. Lalwani,et al.  Combining quantitative and qualitative methodologies in logistics research , 2004 .

[49]  Kenneth K. Boyer,et al.  DRIVERS OF INTERNET PURCHASING SUCCESS , 2002 .

[50]  Eric T. G. Wang,et al.  A Virtual Integration Theory of Improved Supply-Chain Performance , 2006, J. Manag. Inf. Syst..

[51]  Nagesh N. Murthy,et al.  The antecedents of supply chain agility of a firm: Scale development and model testing , 2006 .

[52]  Ping Ji,et al.  The evolutionary complexity of complex adaptive supply networks: A simulation and case study , 2010 .

[53]  Izak Benbasat,et al.  Predicting Intention to Adopt Interorganizational Linkages: An Institutional Perspective , 2003, MIS Q..

[54]  M. Christopher,et al.  CREATING AGILE SUPPLY CHAINS IN THE FASHION INDUSTRY , 2004 .

[55]  Mohamed Mohamed Naim,et al.  Establishing a transport operation focused uncertainty model for the supply chain , 2008 .

[56]  R. V. Hoek,et al.  Logistics and virtual integration: Postponement, outsourcing and the flow of information , 1998 .

[57]  Binshan Lin,et al.  Accessing information sharing and information quality in supply chain management , 2006, Decis. Support Syst..

[58]  Rajkumar Buyya,et al.  Article in Press Future Generation Computer Systems ( ) – Future Generation Computer Systems Cloud Computing and Emerging It Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility , 2022 .

[59]  Mohamed Mohamed Naim,et al.  The impact of logistics uncertainty on sustainable transport operations , 2010 .

[60]  M. Christopher,et al.  Supply chain risk management: outlining an agenda for future research , 2003 .

[61]  Edmund Prater,et al.  A framework for understanding the interaction of uncertainty and information systems on supply chains , 2005 .

[62]  Benjamin T. Hazen,et al.  Reverse logistics disposition decision‐making , 2012 .

[63]  M. Christopher,et al.  Building the Resilient Supply Chain , 2004 .

[64]  Randy H. Katz,et al.  A view of cloud computing , 2010, CACM.

[65]  Stephan M. Wagner,et al.  Multidisciplinary and Multimethod Research for Addressing Contemporary Supply Chain Challenges , 2011 .

[66]  C. Clifford Defee,et al.  Changing perspective of capabilities in the dynamic supply chain era , 2010 .

[67]  Michael L. Tushman,et al.  Information Processing as an Integrating Concept in Organizational Design. , 1978 .

[68]  Suzanne D. Pawlowski,et al.  The Delphi method as a research tool: an example, design considerations and applications , 2004, Inf. Manag..

[69]  Elisa Fredericks.  Infusing flexibility into business-to-business firms: A contingency theory and resource-based view perspective and practical implications , 2005 .

[70]  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..

[71]  I. Ajzen.  Attitudes, Personality and Behavior , 1988 .

[72]  Hau L. Lee,et al.  Mitigating supply chain risk through improved confidence , 2004 .

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

[74]  H. R. Lourenço,et al.  e‐SCM: internet's impact on supply chain processes , 2008 .

[75]  Brent D. Williams,et al.  Retail promotions and information sharing in the supply chain: a controlled experiment , 2011 .

[76]  M. Naim,et al.  Evaluating the causes of uncertainty in logistics operations , 2010 .

[77]  Chad W. Autry,et al.  The impact of buyer firm information connectivity enablers on supplier firm performance : A relational view , 2011 .

[78]  Uta Jüttner,et al.  Strategy and Relationships: Defining the Interface in Supply Chain Contexts , 2000 .

[79]  Hefu Liu,et al.  How Do Mediated and Non-Mediated Power Affect Electronic Supply Chain Management System Adoption? The Mediating Effects of Trust and Institutional Pressures , 2009, Decis. Support Syst..

[80]  Kenneth K. Boyer,et al.  Internet ticketing in a not‐for‐profit, service organization: Building customer loyalty , 2005 .

[81]  Jay R. Galbraith.  Organization Design: An Information Processing View , 1974 .

[82]  Mario Chessa,et al.  The integrated management of logistic chains in the white goods industry. A field research in Italy , 2001 .

[83]  Mark Pagell,et al.  A multiple-method study of environmental uncertainty and manufacturing flexibility , 1999 .

[84]  S. West,et al.  Multiple Regression: Testing and Interpreting Interactions. , 1994 .

[85]  H. Peck.  Drivers of supply chain vulnerability: an integrated framework , 2005 .

[86]  K. Wei,et al.  The role of institutional pressures and organizational culture in the firm's intention to adopt internet‐enabled supply chain management systems , 2010 .

[87]  Benjamin T. Hazen,et al.  Toward creating competitive advantage with logistics information technology , 2012 .