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Supply chain security has been recognized as an important part of managing business risks. The purpose of this paper is to propose a methodology with systematic metrics for logistics service providers (LSPs) to develop their security design to meet customer demands.

The study is based on a three-stage process of desk research, content validation test, and in-depth case study. The study demonstrates an integrated analytical approach which combines analytical network process (ANP) with quality function deployment (QFD), and then applies the approach to an international LSP.

A case study of an international LSP shows how the ANP-QFD approach can be deployed to understand customers’ expectation for security and develop tactics and measures with the aim to achieve the desirable outcome for LSPs’ security design.

The paper contributes to supply chain security literature and practice. This study is among the research taking the first step to use ANP-QFD to translate the customer requirements (CRs) for supply chain security into systematic metrics for LSPs to develop their security design. Results from such research into the development of security performance can benefit LSPs in terms of increasing the effectiveness and improving the customer orientation of security efforts. By extension, other firms can enhance their security design by referring to the case study and the integrated analytical method. The flexibility of this ANP-QFD approach offers leeway for firms to change the CRs and design requirements based on their unique circumstances.

The purpose of this paper is to establish criteria for evaluating strategic partners in a network of logistics service providers (LSPs) to show how analytical network process (ANP) can be used to identify the weights of these criteria on a case-specific basis, and to investigate whether the ANP model can be used as a starting point to evaluate strategic partners for other LSP networks.

Based on a literature review of vertical cooperation, the authors develop an overview of criteria for the evaluation of partners in a network of LSPs. The authors then apply ANP at LSP1 to validate the criteria, identify weights for these criteria and to validate model outcomes. Furthermore, the authors investigate whether the ANP model developed for LSP1 can be applied to another LSP with similar characteristics (LSP2). In-depth interviews are used to draw conclusions on the modeling approach and the model outcomes.

The research shows that evaluation criteria for partners in vertical partnerships between shippers and LSPs are applicable to LSP partners in horizontal partnership networks. The ANP model with criteria weights provides a good starting point for LSPs to customize the evaluation framework according to their specific needs or operating environments.

Limited research is available on evaluating LSP partners in horizontal partnerships. To the best of the authors’ knowledge, this paper is the first to bring forward horizontal LSP partner evaluation criteria to develop an ANP model for LSP partner evaluation and to apply this to two cases, and to provide a starting point for evaluating partners in similar horizontal LSP networks.

The purpose of this paper is to present a detailed literature review of the recent applications of the analytic hierarchy process (AHP) and analytic network process (ANP) group decision‐making methodologies.

Among more than 600 related papers published in the period 2005‐2009, a total of 232 application articles published in highly reputed international academic journals were selected and referenced in this paper. Papers were categorized according to application areas, subject titles, publication date, country of origin, academic journals, and integrated methodologies, and are summarized herein by various tables and charts.

The findings show that during the years 2005‐2009, use of the AHP technique has continued to increase exponentially. Moreover, it is expected that ANP will gain more popularity in the future, as the benefits of ANP become better understood. Applications of AHP have been dominant in manufacturing, followed by the environmental management and agriculture field, power and energy industry, transportation industry, construction industry, and healthcare. Other remarkable application fields include education, logistics, e‐business, IT, R&D, telecommunication industry, finance and banking, urban management, defense industry and military, government, marketing, tourism and leisure, archaeology, auditing, and the mining industry.

The study does not consider theoretical based AHP or ANP articles. Also the search excluded conference proceedings, masters' theses, and doctoral dissertations.

It is hoped that this study will guide practitioners in future work towards advancement of these techniques and will help the managers to select better decisions by making use of these methodologies.

The paper presents a comprehensive literature review of recent applications of AHP, and also ANP decision tools over the period 2005‐2009. Furthermore, the paper covers fuzzy AHP and fuzzy ANP extensions that are becoming popular methods in some application areas of traditional AHP and ANP.

The paper, which is based on an integrated approach that is able to aid the comprehension of complex phenomena, aims to investigate innovative models and tools in the field of sustainability assessment of territorial transformations. The model has been applied to a real case study related to the choice of alternative projects for the requalification of a downgraded urban area in Turin (Italy).

The work proposes the use of a comprehensive key environmental indicator framework and multi‐criteria analysis to evaluate the sustainability of different strategies. The evaluation has been performed through the application of the analytical network process (ANP) and by means of a set of indicators, which have been arranged according to the Driving Force‐Pressure‐State‐Impact‐Responses (DPSIR) framework. The assessment model provides priority lists of the importance of the considered indicators and alternatives. All the analysis elements are modelled with the ANP, taking into consideration the interconnections between the indicators and their respective cumulative importance.

According to the aim of the paper, the most important element in the performed analysis refers to the variation of the well‐being of the population, followed by the changes in the accessibility and attractiveness of the area, then by the effects on the real estate market and the presence of new cycle tracks.

The work is the first study at a national level and one of the first applications at an international level in research concerning the use of the DPSIR framework integrated with an ANP analysis.

The purpose of this paper is to present the development of a methodology to evaluate suppliers using portfolio analysis based on the analytical network process (ANP) and environmental factors.

The authors develop a three‐step process, first by evaluating influence/power and performance scores of suppliers using ANP. They include environmental dimensions in this analysis, then map these suppliers onto a portfolio grid. Recommendations are also made on how to manage suppliers depending on what part of the portfolio they appear based on the scores.

The technique is useful and versatile. The paper clearly discerns various characteristics of the suppliers and produced recommendations on supplier management for an exemplary case scenario.

The technique was applied for an illustrative example. Validation and application in a real world setting is required. There are many additional opportunities to further integrate other modeling tools into this process.

Managers can use this technique to help them more effectively deal with suppliers. The portfolio is a good tool for operational and strategic management of suppliers.

This tool is the first to apply ANP to supplier portfolio analysis. It is also the first tool to integrate and apply the portfolio supplier management approach to an environmentally oriented decision environment.

The purpose of this paper is to propose a methodology with systematic metrics for logistics service providers (LSPs) to develop their environmental sustainability performance in the context of green supply chain management.

An integrated analytical approach which combines analytical network process (ANP) with quality function deployment (QFD) is proposed to develop LSPs’ environmental sustainability performance. In the approach, QFD is used to translate customer requirements (CRs) for “green” concerns into multiple criteria for LSP’s design requirements (DRs). ANP is used to analyze the inter-relationships among the various CRs and DRs.

The effectiveness of the proposed approach is demonstrated by applying it to a global LSP. A case study shows how the proposed “ANP-QFD” technique can be deployed to understand customers’ expectation for environment management and develop tactics and measures with the aim to achieve the desirable outcome for LSPs’ environmental sustainability performance.

Firms that emphasize sustainability as a competitive priority will benefit by communicating sustainability efforts to customers. Therefore, “ANP-QFD” is an integrative method which helps develop LSPs’ environmental sustainability performance by enabling logistics managers incorporate the “voice” of customers for environmental concerns into their decision-making process. The study demonstrates how to develop LSPs to be greener in order to realize the requirements of green supply chains. The proposed integrated approach can also be applied in other decision-making scenarios for effective green supply chain management.

Various approaches that can deal with multiple and conflicting criteria have been adopted for LSP assessment in the literature. However, they fail to include the impact of business objectives and the requirements of company stakeholders (customer in this study) in the identification of performance criteria for LSP. They also did not incorporate the environmental sustainability perspective. This paper contributes to the emerging research topic of environmental sustainability in logistics and supply chains by tackling these inadequacies in the literature. The study facilitates LSPs and the supply chains they serve in achieving better economic and environmental performance, thus leading to truly sustainable outcomes.

There has been an increasing amount of research on personnel selection in many business disciplines (Hough & Oswald, 2000; Breaugh & Starke, 2000). Research on internal auditor selection, however, has had limited exposure in the auditing literature (Bailey, Gramling, & Ramamoorti, 2003). Recently, Seol and Sarkis (2005) introduced an analytic hierarchy process (AHP) model that used a decision hierarchy based on the CFIA (competency framework for internal auditing) framework. A limitation of AHP, however, is the assumption of strict hierarchical relationship that needs to exist among factors.

The purpose of this paper is an introduction of a more robust model, the analytical network process (ANP), which relaxes the strict hierarchical and decomposition levels of the hierarchy and incorporates possible interrelationships and interdependencies of various personnel selection criteria, factors, and alternatives. In illustrating the application, we return to the CFIA model framework, describe how and where interdependencies exist amongst the CFIA factors/attributes, and how ANP is used in the internal auditor selection process. The illustration will also describe some sensitivity analysis for the ANP approach. The tool is not without its limitations that include the potential for geometrically more questions and information elicitation from the decision makers. Finally managerial and research implications associated with the technique and results are described.

High‐tech industry has been the principal economic source for Taiwan in recent years. The characteristics of high‐tech industries in Taiwan are changeable product markets, short product life cycles and high company attrition rate. In the globalization trend, the high‐tech industry has gradually increased corporate competitiveness and reached the goal of sustainable operations through knowledge management, knowledge sharing and new product research and development. Firms have aggressively strengthened and integrated their internal and external resources and enhanced knowledge sharing to increase industry operational performance. Effectively strengthening the knowledge management operation and performance evaluation of knowledge sharing in Taiwan’s high‐tech industry has become a critical issue. In the selection of knowledge sharing Key Performance Indicators (KPI), this research divided the knowledge sharing indicators into representative strategic indicators such as organizational knowledge learning, organizational knowledge resources, organizational information capacity and organizational knowledge performance through screening using Factor Analysis. The characteristics of the constructs were interdependent. This research calculated and adjusted the correlation among the key performance knowledge sharing indicators using ANP and determined the relative weight of knowledge sharing.

The aim of this research is to provide an approach for modeling system risk management and to develop an analytic hierarchy process (AHP)-based model for simulating decisions on introducing innovations in air transport systems.

The paper proposes AHP and analytic network process (ANP) methodologies for overcoming fragmentation in risk assessments perceived by risk, budget, quality or schedule managements, and for resolving potential conflicts between safety, efficiency and well-being.

Issues in system risk evaluation and management were identified and transferred to a list of requirements. A generic ANP-based model for system risk management was developed as well as a template for capture of knowledge on risks, including expert knowledge, and for implementation of a new decision-making process as applied to introducing innovation(s).

Since this research addresses evaluation and management of non-event based risks due to innovations in air transport systems, further analysis and re-evaluation of risks is required during and after the implementation in order to provide continuously dynamic representation of system risk.

The results of this study contribute to the development and implementation of a usable version of multi-criteria decision analysis at senior management level. Further, it stimulates mechanism for learning and trade-offs between various stakeholders.

This work is original in that it is cross-disciplinary (e.g. risk management, management of innovation, systems design). It addresses the issue of integrating a safety management system with an overall business management system. Also, it introduces qualitative non-event risk assessments into system risk management. In addition to the use of the AHP-model for system risk management, an implementation model (“risk stakeholder model”) is also developed.

To provide a good insight into the use of analytic network process (ANP) that is a multiple criteria decision‐making methodology in evaluating supplier selection problems.

Supplier selection problems are multi‐objective problems which have many qualitative and quantitative concerns. In this study, an ANP model is proposed in evaluating supplier selection process as a framework to help managers.

It is shown that ANP can be used as a decision analysis tool to solve multi‐criteria supplier selection problems that contain interdependencies.

ANP is a complex methodology and requires more comparisons than the traditional AHP and it increases the effort.

Provides an effective framework to guide managers for evaluating suppliers.