Information sharing in supply chains, myth or reality? A critical analysis of empirical literatureJoakim Kembro; Dag Näslund
2014 International Journal of Physical Distribution & Logistics Management
doi: 10.1108/IJPDLM-09-2012-0287
Purpose – The purpose of this paper is to investigate what empirical evidence exists regarding benefits of information sharing in supply chains, and to identify potential gaps and opportunities in this research area. Design/methodology/approach – The authors conducted an in‐depth, systematic literature review and multilevel analysis of 82 selected articles. In the analysis, the authors investigated: whether the articles applied the supply chain as the unit of analysis; the selected research method; whether the articles applied the supply chain as the unit of data collection (i.e. collected data from three or more different companies); and finally, aspects of information sharing – including benefits. Findings – Despite anecdotal descriptions of benefits from information sharing in supply chains, the authors could not find empirical evidence to support these claims. Rather, the main body of literature reports on a focal company's perspective on traditional buyer‐supplier relationships. Research limitations/implications – Given the lack of evidence for the claimed benefits of information sharing on a supply chain level, more research is needed in this field. The authors therefore propose an agenda for future research building on four key points. Originality/value – Contrary to popular belief, empirical evidence for benefits of information sharing in supply chains does not seem to exist. This article highlights an issue previously not addressed with a systematic in‐depth review and analysis of empirical articles.
Reverse logistics information system success and the effect of motivationBenjamin T. Hazen; Joseph Huscroft; Dianne J. Hall; Fred K. Weigel; Joe B. Hanna
2014 International Journal of Physical Distribution & Logistics Management
doi: 10.1108/IJPDLM-11-2012-0329
Purpose – Information systems (IS) play a substantial role in managing reverse logistics (RL) processes. However, the RL literature rarely takes a holistic approach to examining the “success” of IS employment. Drawing on the rich literature base from the IS field, the authors explore IS Success theory in the context of RL. Considering Diffusion of Innovation theory, the authors also examine the effect of motivation on IS utilization. In doing so, the authors provide scholars and practitioners with insight into the factors affecting the success of a RL IS. The paper aims to discuss these issues. Design/methodology/approach – Based upon DeLone and McLean's IS Success theory, the authors develop the model to consider information quality, IS utilization, and RL cost effectiveness (as a proxy for net benefits). The authors disaggregate RL into two processes and thus consider the model from two perspectives: the process of receiving returns from customers (inbound) and the process of returning products to suppliers (outbound). The authors survey 136 RL professionals and employ partial least squares modeling for data analysis. Findings – For both inbound and outbound path models, information quality is significantly and positively related to IS utilization; in turn, IS utilization is a significant predictor of net benefits. For inbound, RL goals provide significant motivation to drive IS utilization. For outbound, RL challenges provide significant motivation for IS utilization. Originality/value – The authors bring IS Success theory into the context of RL. Additionally, by investigating the topic from both inbound and outbound perspectives, the findings suggest differences between inbound and outbound RL processes.
Characterising spatial logistics employment clustersPrem Chhetri; Tim Butcher; Brian Corbitt
2014 International Journal of Physical Distribution & Logistics Management
doi: 10.1108/IJPDLM-03-2012-0086
Purpose – The purpose of this paper is twofold. First to identify economic activities and broader spatial logistics functions that characterise an urban setting, and second to delineate significant spatial logistics employment clusters to represent the underlying regional geography of the logistics landscape. Design/methodology/approach – Using the four‐digit Australian and New Zealand Standard Industrial Classification, industries “explicitly” related to logistics were identified and aggregated with respect to employment. A principal component analysis was conducted to capture the functional interdependence of inter‐related industries and measures of spatial autocorrelation were also applied to identify spatial logistics employment clusters. Findings – The results show that the logistics sector accounts for 3.57 per cent of total employment and that road freight, postal services, and air and space transport are major employers of logistics managers. The research shows significant spatial clustering of logistics employment in the western and southern corridors of Melbourne, associated spatially with manufacturing, service industry and retail hubs in those areas. Research limitations/implications – This research offers empirically informed insights into the composition of spatial logistics employment clusters to regions that lack a means of production that would otherwise support the economy. Inability to measure the size of the logistics sector due to overlaps with other sectors such as manufacturing is a limitation of the data used. Practical implications – The research offers policymakers and practitioners an empirically founded basis on which decisions about future infrastructure investment can be evaluated to support cluster development and achieve economies of agglomeration. Originality/value – The key value of this research is the quantification of spatial logistics employment clusters using spatial autocorrelation measures to empirically identify and spatially contextualize logistics hubs.
Opportunism risk in service triads – a social capital perspectiveEvi Hartmann; Stefan Herb
2014 International Journal of Physical Distribution & Logistics Management
doi: 10.1108/IJPDLM-08-2012-0249
Purpose – The authors aim to conceptually show how social capital between service buyer and partner firm in a service triad impacts the service buyer's opportunism risk regarding the service provider's behavior. Design/methodology/approach – The authors draw on social capital theory to conceptually derive propositions on the role of social capital with regard to the antecedents of opportunism in service triads. Findings – Based on literature, the authors show how social capital between service buyer and partner firm decreases the service buyer's opportunism risk regarding the provider's behavior. Structural capital enhances information flows, thus reducing ambiguity. Relational capital reduces ambiguity as well as the service buyer' dependence. Cognitive capital enhances the mitigating effect of relational norms. Research limitations/implications – The authors extend the conceptual perspective on social capital and opportunism risk to triadic environments. Besides empirical validation, a resulting research program could follow three avenues: interdependencies between other relationships in service triads, the impact of social capital on effects other than opportunism as well as the role of relationships between individual boundary‐spanners. Practical implications – When deciding upon service outsourcing in triads, service buyers should assess their resulting opportunism risk, considering not only the service provider but also their relationship to the partner firm. Originality/value – The propositions entail a shift from a dyadic to a triadic perspective. Analyzing the established dyadic concepts of social capital and opportunism in a triadic environment, the authors contribute to theory on triads as the simplest building blocks of networks.