The value of information systems for product recovery management

This article sheds light on the role of information systems in product recovery management. We first develop analytical models and then provide a numerical example to determine under what conditions investments in Information-intensive Product Recovery Systems (IPRS) are economically justifiable for manufacturers and when policy-makers need to consider facilitating their implementation. The results of the analytical models indicate that the recovery network (collection) structure and product characteristics determine if precision improvements or increased sorting speed associated with IS investments will lead to higher profit gains. Manufacturers should carefully assess conflicting impacts of current manufacturing and recycling technology trends on the value of IPRS. Implementing IPRS might end up reducing manufacturers' profits under a highly time efficient decentralised collection structure. We show that negotiations with competitors about IPRS implementation may lead to a win–win situation and allow consumers to enjoy the lowest product price if the binding force of the agreement is strong. Otherwise, some manufacturers follow free-rider strategies. This article has immediate application to manufacturers' IS strategy and to government policy-makers considering investing in and/or structuring product recovery closed-loop supply chain processes within their jurisdictions. It also opens a potential stream of research concerning the role of IPRS to automate, informate and transform closed-loop supply chains for eco-efficiency.

[1]  V. Verter,et al.  An Analysis of Monopolistic and Competitive Take‐Back Schemes for WEEE Recycling , 2011 .

[2]  Felix T.S. Chan,et al.  A superiority search and optimisation algorithm to solve RFID and an environmental factor embedded closed loop logistics model , 2011 .

[3]  Jose M. Cruz,et al.  Supply chain disruption risk management through strategic information acquisition and sharing and risk-sharing contracts , 2011 .

[4]  Jae-Hyeon Ahn,et al.  Managing Consumer Privacy Concerns in Personalization: A Strategic Analysis of Privacy Protection , 2011, MIS Q..

[5]  Thompson S. H. Teo,et al.  A framework for stakeholder oriented mindfulness: case of RFID implementation at YCH Group, Singapore , 2011, Eur. J. Inf. Syst..

[6]  Steve Elliot,et al.  Transdisciplinary Perspectives on Environmental Sustainability: A Resource Base and Framework for IT-Enabled Business Transformation , 2011, MIS Q..

[7]  M. Dufwenberg Game theory. , 2011, Wiley interdisciplinary reviews. Cognitive science.

[8]  Paul Benjamin Lowry,et al.  Profiling the Research Productivity of Tenured Information Systems Faculty at U.S. Institutions , 2011, MIS Q..

[9]  Mikhael Shor,et al.  The Impact of Malicious Agents on the Enterprise Software Industry , 2010, MIS Q..

[10]  Duncan McFarlane,et al.  Value of information in product recovery decisions: a Bayesian approach , 2010 .

[11]  Nigel Melville,et al.  Information Systems Innovation for Environmental Sustainability , 2010, MIS Q..

[12]  Michael R. Galbreth,et al.  Offshore Remanufacturing with Variable Used Product Condition , 2010, Decis. Sci..

[13]  Henning Baars,et al.  Evaluation of RFID applications for logistics: a framework for identifying, forecasting and assessing benefits , 2009, Eur. J. Inf. Syst..

[14]  Mark Ferguson,et al.  The Value of Quality Grading in Remanufacturing , 2009 .

[15]  Christos Zikopoulos,et al.  On the attractiveness of sorting before disassembly in remanufacturing , 2008 .

[16]  Duncan McFarlane,et al.  RFID-based product information in end-of-life decision making , 2007 .

[17]  S. Seuring,et al.  End-of-life returns of long-lived products from end customer—insights from an ideally set up closed-loop supply chain , 2007 .

[18]  Özgen Karaer,et al.  Managing the Reverse Channel with RFID‐Enabled Negative Demand Information , 2007 .

[19]  Gijsbert van Liemt Recent developments on Corporate SocialResponsibility (CSR) in Information andCommunications Technology (ICT)Hardware Manufacturing. MULTI Working Paper No.103 , 2007 .

[20]  Michael E. Ketzenberg,et al.  Value of Information in Closed Loop Supply Chains , 2006 .

[21]  V. Guide,et al.  Closed‐Loop Supply Chains: An Introduction to the Feature Issue (Part 1) , 2006 .

[22]  Alan Scheller-Wolf,et al.  Assessing the Impact of RFID on Return Center Logistics , 2006, Interfaces.

[23]  Hai-Yong Kang,et al.  Electronic waste recycling: A review of U.S. infrastructure and technology options , 2005 .

[24]  Z. Binder,et al.  Integrated approach for disassembly processes generation and recycling evaluation of an end-of-life product , 2005 .

[25]  Nigel P. Melville,et al.  Review: Information Technology and Organizational Performance: An Integrative Model of IT Business Value , 2004, MIS Q..

[26]  Tamer Boyacı,et al.  The effect of categorizing returned products in remanufacturing , 2004 .

[27]  Geraldo Ferrer,et al.  Value of information in remanufacturing complex products , 2004 .

[28]  Gilvan C. Souza,et al.  Reverse Supply Chains for Commercial Returns , 2004 .

[29]  Ieke le Blanc,et al.  Product Modularity and the Design of Closed-Loop Supply Chains , 2004 .

[30]  Surendra M. Gupta,et al.  ECONOMIC SENSITIVITY FOR END OF LIFE PLANNING AND PROCESSING OF PERSONAL COMPUTERS , 2002 .

[31]  B. Reimer,et al.  Models for recycling electronics end-of-life products , 2001, OR Spectr..

[32]  Erik Ten Brinke,et al.  Information management and design & engineering processes , 2000 .

[33]  R. Hall,et al.  Toward a Quantification of the Effects of Microsoft's Conduct , 2000 .

[34]  M. H. Wang,et al.  ECONOMICAL EVALUATION OF DISASSEMBLY OPERATIONS FOR RECYCLING, REMANUFACTURING AND REUSE , 1998 .

[35]  Geraldo Ferrer,et al.  The economics of personal computer remanufacturing , 1997 .

[36]  George Hendrikse,et al.  The Theory of Industrial Organization , 1989 .

[37]  Jane Webster,et al.  An agenda for 'Green' information technology and systems research , 2011, Inf. Organ..

[38]  Prasanto K. Roy,et al.  Green Information Technology, Energy Efficiency, and Profits: Evidence from an Emerging Economy , 2010, ICIS.

[39]  Alemayehu Molla,et al.  Green IT diffusion: An international comparison , 2009 .

[40]  Erwin A. van der Laan,et al.  Production , Manufacturing and Logistics Inventory control with product returns : The impact of imperfect information , 2009 .

[41]  Gijsbert van Liemt Recent developments on corporate social responsibility (CSR) in information and communications technology (ICT) hardware manufacturing , 2007 .

[42]  Grossi Luigi,et al.  RFID Technologies: Emerging Issues, Challenges and Policy Options , 2007 .

[43]  Anna Nagurney,et al.  Reverse supply chain management and electronic waste recycling: a multitiered network equilibrium framework for e-cycling , 2005 .

[44]  D. C. McFarlane,et al.  Improving Product Recovery Decisions through Enhanced Product Information , 2005 .

[45]  R. Dekker,et al.  Reverse logistics : quantitative models for closed-loop supply chains , 2004 .

[46]  Rob A. Zuidwijk,et al.  ICT Enabling Reverse Logistics , 2004 .

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