Mobile Technology for Supply Chain Management: The Case of a Brazilian Beef Chain

The use of mobile technologies is important for Supply Chain Management (SCM) because these technologies allow for the ubiquitous flow of information, higher agility and risk reduction in supply chains. These issues are particularly relevant to avoid food safety risks in global food chains. The main goal of this paper is to analyse the diffusion of mobile technology for management and risk control in the Brazilian beef supply chain, since Brazil is one of the main producers and beef exporters in the world. The research method was a single case study in the beef chain of the state of Goias (one of Brazil’s main beef producers). Results show the actual level of mobile technology use and the main elements that affect the diffusion of mobile technology in the supply chain studied.

[1]  Stanley E. Fawcett,et al.  Information Technology as an Enabler of Supply Chain Collaboration: A Dynamic-Capabilities Perspective , 2011 .

[2]  T. Schroeder,et al.  International cattle ID and traceability: Competitive implications for the US , 2012 .

[3]  Danny Samson,et al.  Electronic markets, data access and collaboration: relative value to performance in firm operations , 2010 .

[4]  Germaine H. Saad,et al.  Managing Disruption Risks in Supply Chains , 2005 .

[5]  Kalle Lyytinen,et al.  Contours of diffusion of electronic data interchange in Finland: Overcoming technological barriers and collaborating to make it happen , 1998, J. Strateg. Inf. Syst..

[6]  A. Strauss Basics Of Qualitative Research , 1992 .

[7]  Ing-Long Wu,et al.  Examining the diffusion of electronic supply chain management with external antecedents and firm performance: A multi-stage analysis , 2010, Decis. Support Syst..

[8]  W. Zinn,et al.  Proactive planning for catastrophic events in supply chains , 2009 .

[9]  Izak Benbasat,et al.  Research Report: Empirical Test of an EDI Adoption Model , 2001, Inf. Syst. Res..

[10]  Louise Manning,et al.  Effective management of food safety and quality , 2004 .

[11]  Matthew B. Miles,et al.  Qualitative Data Analysis: An Expanded Sourcebook , 1994 .

[12]  F. Schwägele Traceability from a European perspective. , 2005, Meat science.

[13]  Carsten Sørensen,et al.  Enterprise mobility : tiny technology with global impact on work /Carsten Sørensen , 2011 .

[14]  Benjamin K. Ngugi,et al.  M‐pesa: A Case Study of the Critical Early Adopters’ Role in the Rapid Adoption of Mobile Money Banking in Kenya , 2010, Electron. J. Inf. Syst. Dev. Ctries..

[15]  Rahul C. Basole Enterprise mobility: Researching a new paradigm , 2008, Inf. Knowl. Syst. Manag..

[16]  Fan-Yun Pai,et al.  Evaluating the business value of RFID: Evidence from five case studies , 2008 .

[17]  R. Angeles RFID Technologies: Supply-Chain Applications and Implementations Issues , 2007 .

[18]  N. Archer,et al.  Barriers to the adoption of online supply chain solutions in small and medium enterprises , 2008 .

[19]  Sirra Toivonen,et al.  Enhancing supply chain security with vulnerability management and new technology , 2010 .

[20]  Weihui Dai,et al.  Research on Mobile Agent System for Agile Supply Chain Management , 2011, J. Softw..

[21]  Jari Salo,et al.  The role of mobile technology in a buyer‐supplier relationship: a case study from the steel industry , 2012 .

[22]  Judith M. Whipple,et al.  Global supply chain design considerations: Mitigating product safety and security risks , 2011 .

[23]  Alessandro Perego,et al.  RFId adoption in the FMCG supply chain: an interpretative framework , 2011 .

[24]  Fernando Lera-López,et al.  Disparities in ICT adoption: A multidimensional approach to study the cross-country digital divide , 2009 .

[25]  J. Whitney Case Study Research , 1999 .

[26]  Keng Siau,et al.  Mobile Commerce Applications in Supply Chain Management , 2002 .

[27]  Thomas Y. Choi,et al.  The Supply Base and Its Complexity: Implications For Transaction Costs, Risks, Responsiveness, and Innovation , 2006 .

[28]  M. Tseng,et al.  Information technology in supply chain management: a case study , 2011 .

[29]  G. Zsidisin,et al.  Managing Supply Risk with Early Supplier Involvement: A Case Study and Research Propositions , 2005 .

[30]  Vineet Padmanabhan,et al.  Comments on "Information Distortion in a Supply Chain: The Bullwhip Effect" , 2004, Manag. Sci..

[31]  Eric W. T. Ngai,et al.  Information technology, operational, and management competencies for supply chain agility: Findings from case studies , 2011, J. Strateg. Inf. Syst..

[32]  Samir Dani,et al.  Supply Chain Risk Management: Present and Future Scope , 2012 .

[33]  Jennifer Blackhurst,et al.  The Severity of Supply Chain Disruptions: Design Characteristics and Mitigation Capabilities , 2007, Decis. Sci..

[34]  P. Jonsson Towards an holistic understanding of disruptions in Operations Management , 2000 .

[35]  M. Attaran RFID: an enabler of supply chain operations , 2007 .

[36]  Stéphane Dauzère-Pérès,et al.  A literature review on the impact of RFID technologies on supply chain management , 2010 .

[37]  Madeleine E. Pullman,et al.  UNRAVELING THE FOOD SUPPLY CHAIN: STRATEGIC INSIGHTS FROM CHINA AND THE 2007 RECALLS* , 2008 .

[38]  Jean Hartley,et al.  Case study research , 2004 .

[39]  She-I Chang,et al.  The Determinants of RFID Adoption in the Logistics Industry - A Supply Chain Management Perspective , 2008, Commun. Assoc. Inf. Syst..

[40]  M. Megel,et al.  Research Design , 2019, Beiträge zur Landschafts- und Umweltplanung I Contributions to Landscape and Environmental Planning.

[41]  N. Venkatraman,et al.  Configurations of inter-organizational relationships : a comparison between US and Japanese automakers , 1995 .

[42]  Kuldeep Kumar,et al.  Sustainable Collaboration: Managing Conflict and Cooperation in Interorganizational Systems , 1996, MIS Q..

[43]  Teck-Yong Eng,et al.  Mobile supply chain management: Challenges for implementation , 2006 .

[44]  Helen M. Smith,et al.  Interpreting Qualitative Data: Methods for Analyzing Talk, Text and Interaction 3rd Edition , 2006 .

[45]  A. Sohal,et al.  The relationship between supply chain factors and adoption of e-Collaboration tools: An empirical examination , 2009 .

[46]  Alain Yee-Loong Chong,et al.  Determinants of mobile supply chain management system diffusion: a structural equation analysis of manufacturing firms , 2013 .

[47]  Ram L. Kumar,et al.  A multi-disciplinary framework for the management of interorganizational systems , 1999, DATB.

[48]  Kevin B. Hendricks,et al.  Association Between Supply Chain Glitches and Operating Performance , 2005, Manag. Sci..

[49]  G. Zsidisin,et al.  An Agency Theory Investigation of Supply Risk M anagement , 2003 .

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

[51]  Brian Tomlin,et al.  On the Value of Mitigation and Contingency Strategies for Managing Supply Chain Disruption Risks , 2006, Manag. Sci..