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Article

Ming-Lang Tseng, Chih-Cheng Chen, Kuo-Jui Wu and Raymond Tan

This study integrates economic/ecology (eco)-attributes and performance to build a sustainable service supply chain management (SSCM) model.

Abstract

Purpose

This study integrates economic/ecology (eco)-attributes and performance to build a sustainable service supply chain management (SSCM) model.

Design/methodology/approach

This study proposes the use of the fuzzy Delphi method to screen for the less important attributes and applies a network data envelopment analysis to explore the hierarchical and eco-efficient network interrelationships. The causality and hierarchal eco-efficient model is acquired using a fuzzy decision-making trial and evaluation laboratory analysis

Findings

The findings are as follows: (1) the information and technology management process is derived by enhancing sustainable customer and supplier relationship management, and (2) the eco-efficient model is improved based on long-term relationships with suppliers – that is, synergistic suppliers improve the service chain quality and provide services in an appropriate and timely manner – and research and development coordination. The theoretical and managerial implications are discussed.

Research limitations/implications

The eco-efficient model reveals that the sustainable customer relationship management process, sustainable supplier relationship management process and information and technology management process are the major causal attributes in the model.

Practical implications

The eco-efficient model must be based on (1) long-term relationships with suppliers, (2) synergistic suppliers to improve service chain quality, (3) the provision of services in a timely manner and (4) research and development coordination.

Originality/value

Prior studies neglect to build an ecological economy model using the efficiency causality model of hierarchical interrelationships. Traditional SSCM fails to involve the triple bottom line performance toward sustainability.

Details

Management of Environmental Quality: An International Journal, vol. 31 no. 4
Type: Research Article
ISSN: 1477-7835

Keywords

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Article

Jay Liebowitz

To provide an interesting approach for determining interval measures, through the analytic hierarchy process, for integration with social network analysis for knowledge

Abstract

Purpose

To provide an interesting approach for determining interval measures, through the analytic hierarchy process, for integration with social network analysis for knowledge mapping in organizations.

Design/methodology/approach

In order to develop improved organizational and business processes through knowledge management, a knowledge audit should be conducted to better understand the knowledge flows in the organization. An important technique to visualize these knowledge flows is the use of a knowledge map. Social network analysis can be applied to develop this knowledge map. Interval measures should be used in the social network analysis in order to determine the strength of the connections between individuals or departments in the organization. This paper applies the analytic hierarchy process to develop these interval measures, and integrates the values within the social network analysis to produce a meaningful knowledge map.

Findings

The analytic hierarchy process, when coupled with social network analysis, can be a useful technique for developing interval measures for knowledge‐mapping purposes.

Research limitations/implications

The analytic hierarchy process may become tedious and arduous for use in large social network maps. More research needs to be conducted in this area for scalability.

Practical implications

As social network analysis is gaining more prominence in the knowledge management community, the analytic hierarchy process may be able to provide more valuable measures to determine the strengths of relationships between actors than simply using ordinal numbers.

Originality/value

Coupling the analytic hierarchy process with social network analysis provides a novel approach for future knowledge‐mapping activities.

Details

Journal of Knowledge Management, vol. 9 no. 1
Type: Research Article
ISSN: 1367-3270

Keywords

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Book part

Marc Wouters, Susana Morales, Sven Grollmuss and Michael Scheer

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product…

Abstract

Purpose

The paper provides an overview of research published in the innovation and operations management (IOM) literature on 15 methods for cost management in new product development, and it provides a comparison to an earlier review of the management accounting (MA) literature (Wouters & Morales, 2014).

Methodology/approach

This structured literature search covers papers published in 23 journals in IOM in the period 1990–2014.

Findings

The search yielded a sample of 208 unique papers with 275 results (one paper could refer to multiple cost management methods). The top 3 methods are modular design, component commonality, and product platforms, with 115 results (42%) together. In the MA literature, these three methods accounted for 29%, but target costing was the most researched cost management method by far (26%). Simulation is the most frequently used research method in the IOM literature, whereas this was averagely used in the MA literature; qualitative studies were the most frequently used research method in the MA literature, whereas this was averagely used in the IOM literature. We found a lot of papers presenting practical approaches or decision models as a further development of a particular cost management method, which is a clear difference from the MA literature.

Research limitations/implications

This review focused on the same cost management methods, and future research could also consider other cost management methods which are likely to be more important in the IOM literature compared to the MA literature. Future research could also investigate innovative cost management practices in more detail through longitudinal case studies.

Originality/value

This review of research on methods for cost management published outside the MA literature provides an overview for MA researchers. It highlights key differences between both literatures in their research of the same cost management methods.

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Article

Jasmine Siu Lee Lam and Jing Dai

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

International Journal of Physical Distribution & Logistics Management, vol. 45 no. 7
Type: Research Article
ISSN: 0960-0035

Keywords

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Article

Qinghua Zhu, Yijie Dou and Joseph Sarkis

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…

Abstract

Purpose

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.

Design/methodology/approach

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.

Findings

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.

Research limitations/implications

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.

Practical implications

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.

Originality/value

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.

Details

Supply Chain Management: An International Journal, vol. 15 no. 4
Type: Research Article
ISSN: 1359-8546

Keywords

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Article

Changiz Valmohammadi and Ali Ghassemi

The purpose of this paper is to identify the barriers of knowledge management (KM) implementation in Alborz Province industrial Parks Corporation and prioritize them using…

Abstract

Purpose

The purpose of this paper is to identify the barriers of knowledge management (KM) implementation in Alborz Province industrial Parks Corporation and prioritize them using fuzzy analytical network process (FANP).

Design/methodology/approach

Through an in-depth review of the literature on KM and researcher findings from observations and interviews with experts, the main barriers of KM implementation, namely, organizational culture, organizational structure, human resource, technology and miscellaneous factors along with their related factors in the surveyed organization were identified. Then, based on the information gathered, an expert questionnaire was developed. Finally, the priority of each main barrier and their sub-factors were determined using FANP.

Findings

The results show that human resource and organizational culture factors with the weights of 0.66 and 0.22, respectively, have the highest ranking and therefore are the most important barriers. The technology factor with the weight of 0.00002 is the least important barrier in implementing KM in the surveyed corporation.

Research limitations/implications

One of the limitations of this study is the generalizability of the findings, which may be limited by the single case study method used.

Originality/value

There are fewer studies about KM barriers specifically with a focus on prioritizing them in organizations, especially in the context of Iran as a developing country. This study develops a comprehensive and solid mathematical technique to prioritize the identified barriers of KM implementation in the context of Iran.

Details

VINE Journal of Information and Knowledge Management Systems, vol. 46 no. 3
Type: Research Article
ISSN: 2059-5891

Keywords

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Book part

Joseph Sarkis and Inshik Seol

There has been an increasing amount of research on personnel selection in many business disciplines (Hough & Oswald, 2000; Breaugh & Starke, 2000). Research on internal…

Abstract

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.

Details

Applications of Management Science: In Productivity, Finance, and Operations
Type: Book
ISBN: 978-0-85724-999-9

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Article

Joseph Sarkis, Srinivas Talluri and A. Gunasekaran

This paper aims to provide a practical model usable by organizations to help form agile virtual enterprises. The model helps to integrate a variety of factors, tangible…

Abstract

Purpose

This paper aims to provide a practical model usable by organizations to help form agile virtual enterprises. The model helps to integrate a variety of factors, tangible and intangible, strategic and operational, for decision‐making purposes.

Design/methodology/approach

A comprehensive development of factors is determined from the literature and an analytical network process (ANP) methodology is introduced for decision model development. An illustrative example is presented.

Findings

The results provide a robust model that will aid decision makers and agile virtual enterprise brokers form partnerships within these organizational structures.

Research limitations/implications

The paper introduces a conceptual model with an illustrative validating example. A practical application and reapplication of the model are required to further validate the model. ANP can require significant managerial input for its application, potentially causing fatigue for decision makers.

Practical implications

Practical implications include a partner selection tool and framework for decision makers. The model may be easily tweaked by the elimination or addition of decision factors and their relationships.

Originality/value

The paper is useful to practitioners and organizations seeking to manage partnership formation of agile virtual enterprises, an emerging organizational form. This work expands the number of factors and interrelationships among these factors that no other model has explicitly addressed for the agile virtual enterprise formation situation.

Details

International Journal of Operations & Production Management, vol. 27 no. 11
Type: Research Article
ISSN: 0144-3577

Keywords

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Article

Marta Bottero and Valentina Ferretti

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…

Abstract

Purpose

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).

Design/methodology/approach

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.

Findings

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.

Originality/value

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.

Details

Management of Environmental Quality: An International Journal, vol. 21 no. 5
Type: Research Article
ISSN: 1477-7835

Keywords

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Article

MingLang Tseng, Ming Lim and Wai Peng Wong

Assessing a measure of sustainable supply chain management (SSCM) performance is currently a key challenge. The literature on SSCM is very limited and performance measures…

Abstract

Purpose

Assessing a measure of sustainable supply chain management (SSCM) performance is currently a key challenge. The literature on SSCM is very limited and performance measures need to have a systematic framework. The recently developed balanced scorecard (BSC) is a measurement system that requires a balanced set of financial and non-financial measures. The purpose of this paper is to evaluate the SSCM performance based on four aspects i.e. sustainability, internal operations, learning and growth, and stakeholder.

Design/methodology/approach

This paper developed a BSC hierarchical network for SSCM in a close-loop hierarchical structure. A generalized quantitative evaluation model based on the Fuzzy Delphi Method (FDM) and Analytical Network Process (ANP) were then used to consider both the interdependence among measures and the fuzziness of subjective measures in SSCM.

Findings

The results of this study indicate that the top-ranking aspect to consider is that of stakeholders, and the top five criteria are green design, corporate sustainability, strategic planning for environmental management, supplier cost-saving initiatives and market share.

Originality/value

The main contributions of this study are twofold. First, this paper provides valuable support for supply chain stakeholders regarding the nature of network hierarchical relations with qualitative and quantitative scales. Second, this paper improves practical performance and enhances management effectiveness for SSCM.

Details

Industrial Management & Data Systems, vol. 115 no. 3
Type: Research Article
ISSN: 0263-5577

Keywords

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