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The purpose of this paper is to introduce a special issue that looks at how enterprises could build competitive advantage through supply chain management.

The paper provides an overview of competitiveness within a supply chain framework, introduces the issue papers and summarizes their major features.

Nowadays competition is increasingly between supply chains rather than individual companies. Thus, one would expect supply chain management to be a key in maintaining enterprises competitiveness. Through conceptual models and empirical studies this special issue's papers demonstrate how designing and operating efficient supply chains, through the effective use of information technology, can provide enterprises with a competitive advantage.

The paper implies that enterprises can associate with a supply chain and develop a mechanism to fairly share surpluses. The papers in the special issue offer insight in to how an enterprise can position itself within a supply chain and how risks and profits can be shared equitably.

The paper introduces articles that report on practical implementation issues of supply chain principles.

The paper suggests a unified framework for the special issue papers.

Big data and predictive analytics (BDPA) has received great attention in terms of its role in making business decisions. However, current knowledge on BDPA regarding how it might link organizational capabilities and organizational performance (OP) remains unclear. Drawing from the resource-based view, the purpose of this paper is to propose a model to examine how information technology (IT) deployment (i.e. strategic IT flexibility, business–BDPA partnership and business–BDPA alignment) and HR capabilities affect OP through BDPA.

To test the proposed hypotheses, structural equation modeling is applied on survey data collected from 159 Indian firms.

The results show that BDPA diffusion mediates the influence of IT deployment and HR capabilities on OP. In addition, there is a direct effect of IT deployment and HR capabilities on BDPA diffusion, which also has a direct relationship with OP.

Through this study, authors demonstrate that IT deployment and HR capabilities have an indirect impact on OP through BDPA diffusion.

One of the hurdles to the adoption of sustainable practices across supply chains is the lack of pan-chain performance measurements and their related information and organizational structures. The authors review the literature on performance measurement of sustainable supply chains with a focus on comprehensive measures that include multiple supply chain partners as well as different sustainability aspects. The purpose of this paper is to analyze the reviewed literature and propose some research questions.

The authors reviewed 140 journal articles, cases and reports that appeared since 1994.

The authors classify the reviewed literature according to seven sustainability dimensions (economical, environmental, social, reputable, valuable, equitable and sustainable) as well as the type of industry and methodology used. In addition the authors synthesize the available performance measurements into a comprehensive framework that incorporates different stages of the supply chain operations and decision-making processes.

The results of this study can be used by researchers to focus on research that may have more implications on supply chains. Practitioners can use the authors proposed performance measurement framework for developing practical and comprehensive measures for their respective industries.

The work is original in the way the authors integrate sustainability (seven dimensions) across the supply chain taking into account the type of operational decisions. The framework can be used by researchers and practitioners to develop practical sustainability performance measurement systems for supply chains.

A measurement campaign was carried out for assessing the waste flow in a pilot hospital of a region in central Italy, with the purpose of having a complete overview of the waste stream and of the personnel behavior in managing and handling waste flow both internally and in outsourcing. The main aim of the work was to provide instruction for decreasing waste quantities, improving segregation and decreasing costs and environmental risks. Moreover an analysis of the effectiveness of outsourcing the waste management service in terms of cost reduction and efficiency improvements and of the limits has been performed.

A self‐assessment model was proposed for evaluating waste generation patterns, quantities and sources and identifying anomalies. The research team comprised the hospital administrator, the head physician and charge nurse of each hospital ward, the administrative in charge of the waste management documents, the head of the hospital pharmacy, the responsible for the external outsourcing company in charge of waste collection and disposal, and the research team of Università Politecnica delle Marche. The data were obtained through the questionnaires elaborated by the group and submitted to a selected sample of personnel; they were asked to provide information on waste management practices (generation, collection, segregation, cleaning, storage) and quantities.

Anomalous behaviors were identified in the high amount of solid waste going into the medical waste stream; corrective actions have been proposed and their effectiveness has been monitored after implementation. The measures allowed a reduction of medical waste from 13 to 15 percent in two analyzed wards with a significant reduction of waste management costs.

This work has been requested and supported by the management of the healthcare structure analyzed, and represents a first step in the implementation of a policy that considers waste management as one of the fundamental processes for the proper functioning of the hospital.

Sharing of risk benefits supplies network collaborations. The complex mix of heterogeneous collaborators in supply networks, however, also increases the complexity of the risk profiles of inter‐related components within these networks. For a given network collaboration, several structures of network relationship are possible, with each carrying distinctive risk implications. This paper seeks to develop a conceptual framework for analysing the differential risks in alternative network structures.

To capture the structural significance of inter‐organisational dependency in networks, alternative typology of network relationships is formulated using agency theory. Basic constructs were developed for analysing risks in supply networks, with configurations ranging from the single‐principal, single‐agent to the complex multi‐principal, multi‐agent scenarios.

The study finds that dynamics of risk in network systems depend not only on the typology of networks, but also on the functional role of each collaborator inherent in the network through agreements on supply and incentives, and supply performance.

The proposed framework provides a structured approach for identifying and assessing risk dynamics and their differential impacts on different levels of supply networks. It provides insights into the dynamics of risk events and identifies network configurations that are vulnerable to different levels of risk.

Understanding how VMI benefits serve lean purposes in healthcare and why its outcomes can be difficult to achieve in healthcare settings is the main purpose of this study.

An in‐depth case study of VMI is presented in the perspective of the downstream member, a public general multi‐site hospital, operating as a small scale consolidated service centre in terms of material management, exploring such dimensions as: VMI benefits, risks, barriers and enablers.

Despite some unawareness of VMI benefits in healthcare, it can present a waste reduction solution not only in costs but in the quality of care for freeing clinical professionals to clinical tasks, among other savings. The multiple benefits are better explored, as in any relationship building, by investing in partnership creation and overcoming the idiosyncratic barriers of the healthcare sector.

Although findings of a single case study are difficult to generalize, the protocol and methodology presented allow replication in other units of analysis with the same inclusion criteria.

This paper brings the lean deployment discussion out of the organization's boundaries, showing the interconnections and pointing to the need for future work that would allow healthcare managers to build a lean supply chain.

By considering VMI an outsourcing alternative, this paper identifies the lean thinking intent behind such options and enhances the idiosyncratic difficulties in full deployment in the healthcare sector, a less studied setting.

The purpose of this paper is to provide academic researchers and practitioners with a better understanding of the current Ivey Purchasing Managers Index (IPMI), with alternative IPMIs, and with their appropriateness as an indicator of the performance of the Canadian economy.

The paper makes use of principal component analysis to investigate the choice of principal variables for computing new IPMIs based on monthly data for five Ivey indexes for the period from December 2000 to May 2006. Statistical tests were made for the validity of the existing and new IPMIs using two major indicators of Canadian business and economic activities.

The results suggest that a new composite purchasing managers index for Canada similar to its US counterparts be computed based on four identified Ivey indexes. For constructing a simpler and parsimonious IPMI, the results support Ivey's current practice of using only one Ivey index, namely, the Purchases index.

There was a limited amount of data used for the analysis (i.e. monthly data for less than six years). Also there are issues on data comparability between the Ivey data and the US data (i.e. the Ivey does not collect separate data for the manufacturing sector or the non‐manufacturing sector).

Using a composite index akin to the PMI, business organizations and policymakers will have an accurate sense of what is happening in the Canadian economy. Furthermore, enhancing the power and accuracy of such an index will benefit supply professionals, economic forecasters, and policy experts.

The present study offers additional insights to both practitioners and academics. It helps supply chain managers and practitioners come up with a more reliable business strategy by providing them with a weighted composite index for the Canadian economy. It also makes contributions to the academic community in the area of statistical theory applied to supply management as it has introduced the principal components variable selection analysis in the construction of a new IPMI.

The purpose of this paper is to report results of a survey in support of re‐designing the Purchasing Management Association of Canada (PMAC) professional accreditation program, the Certified Professional Purchaser (CPP).

A questionnaire was developed, embedded in e‐mail messages via hyperlink, and transmitted to the PMAC membership. The questionnaire included 54 topics, tools and techniques for supply chain management (SCM). Over 2,000 PMAC members commented on CPP program design, by returning the questionnaire electronically. Data analysis culminated with a principal components analysis of the 54 items, from which seven distinct components emerged.

The paper finds that PMAC members lack a common view of SCM. While 63 percent have adopted a broad SCM perspective; 37 percent have a more narrow perspective. However, the most important topics for supply chain professionals are robust across the perspectives. These topics pertain to general managerial skills (e.g. communication, leadership and relationship building); rather than specific functional or analytical tools and techniques.

While the current study focuses exclusively on Canadian supply chain professionals, it would be very interesting and worthwhile to expand this research to other geographic locations.

A renewed CPP program, taken out of the somewhat narrow and tactically‐oriented purchasing area – and into the broader and more strategic SCM space, seems to be in order. The survey provides valuable information to support design and development of this new program.

Based on electronic survey returns from more than 2,000 supply chain professionals, insights are gained into various perspectives on SCM, along with important knowledge (topics, tools and techniques) for effective SCM.

The purpose of the present research is to explore the current situation and future expectations on whether to self‐manage or outsource logistics operations in centralized healthcare networks, and to analyse and quantify the relationships between logistics outsourcing, costs and performance.

The paper is based on a thorough study of a local Italian healthcare network, which evaluated the economic sustainability of logistics outsourcing. The data were collected using interviews, documentation and observations in hospital pharmacies and wards, and by referring to public information available on the internet. A system dynamic simulation followed by a sensitivity analysis was used to investigate the impact of changing key variables as well as the advice of logistics providers.

The sensitivity analysis demonstrates that logistics outsourcing is often the most economical choice.

Performance‐oriented concepts applied to healthcare have many pros in terms of sustainable delivery of quality healthcare at affordable costs.

While there are numerous studies on logistics outsourcing in many industries, when it comes to the healthcare sector literature is scarce, probably due to the great changes this sector has faced in recent times: thus, the paper's quantitative findings should be seen as a first attempt to assist the “make‐or‐buy” decision process toward sustainable development of the healthcare sector.

This research aims to analyze the potential of revenue management in the German car industry. The concept offers the chance for original equipment manufacturers (OEMs) to be more customer‐oriented to reduce costs and increase earnings. To implement revenue management, criteria are required to segment the customers. The car configuration changes and the delivery time look suitable in this context and this paper aims to analyze these.

Survey analysis was conducted with 2974 German buyers of new cars. The respondents recently bought a car or were in the planning process of doing so. A total of 803 data sets could be evaluated statistically using SPSS software. Descriptive statistics and mean test were utilized to test several hypotheses and find out distinctions between the respondents.

The results show that German car buyers could be segmented in to different groups according to the criteria: delivery time and configuration changes. This enables manufacturers to introduce revenue management and realize benefits in better customer orientation and improved supply chain planning.

This research shows that German OEMs, especially the premium OEMs overestimate the value of change flexibility and short delivery times for their customers. The implementation of revenue management could help to reduce complexity and offer each customer the appropriate degree of change flexibility and the optimal delivery time combined with a process‐ and effort‐adequate pricing.