A study on factors for retailers implementing CPFR — A fuzzy AHP analysis

Fu, Hsin‐Pin; Chu, Kuo-Kuang; Lin, Sheng-Wei; Chen, Chi-Ren

doi:10.1007/s11518-010-5136-8

Cited by 25 publications

(46 citation statements)

References 39 publications

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“…forecasts and production capacity) by all supply chain members (Cassivi, 2006). System compatibility System compatibility has been identified as an effective factor in collaboration and information sharing schemes such as CPFR (Büyüközkan and Vardaloğlu, 2012;Fu et al 2010). More system compatibility between partners will result in less development cost (Büyüközkan and Vardaloğlu, 2012).…”

Section: Findings and Discussionmentioning

confidence: 99%

“…Most studies simply focus on an analysis of the success itself. In recent times three studies have been presented which have begun to review CPFR in slightly broader terms (Fu et al 2010;Lin and Ho, 2014;Panahifar et al 2014). The study of Fu et al (2010) was conducted in the retail sector using Fuzzy AHP.…”

Section: Literature Review As a Technique Cpfr Originated From The Vmentioning

confidence: 99%

“…In recent times three studies have been presented which have begun to review CPFR in slightly broader terms (Fu et al 2010;Lin and Ho, 2014;Panahifar et al 2014). The study of Fu et al (2010) was conducted in the retail sector using Fuzzy AHP. Their study highlighted a number of enablers for CPFR implementation, which included: cross-department communication and collaboration capability; change management; organisation innovation capability; system complexity; mutual objectives; amalgamation capability of technology and culture; top management support; trust and communication; system security and electronic data interchange.…”

Section: Literature Review As a Technique Cpfr Originated From The Vmentioning

confidence: 99%

“…This technique is also useful where the opinions and judgements of experts and practitioners are needed to gain a consensus. To date, ISM has been widely applied to study and identify both enablers and barriers in a number of different research areas, which includes: reverse logistics barriers -Ravi and Shankar (2005) The literature review has shown that only a small number of papers have made initial attempts to address the issue of identifying CSFs for CPFR implementation (Wang et al, 2005;Fu et al, 2010, Lin andHo, 2014). This paper, addresses this gap by identifying an extended list of CPFR implementation enablers and analyzing using the hybrid model (FEAHP and ISM) developed as part of this research.…”

Section: Modeling Approachmentioning

confidence: 99%

“…A steady stream of reports on successful industrial implementations of CPFR and experiences have been reported in the literature since its original conception as a technique (McCarthy and Golicic, 2002;Lin et al 2004;Chung and Leung, 2005;Wang et al 2005;Danese, 2006;Cederlund et al 2007;Du et al 2009;Fang and Meng, 2010;Fu et al 2010;Jiang and Ying, 2012). Although CPFR has been shown to facilitate supply chain advances such as: enabling maximization of total network profit (Lehoux et al 2014); improved forecasting accuracy (Småros, 2003); enhanced customer service quality (Du et al 2009); greater product availability assurance (McCarthy and Golicic, 2002) and reduced replenishment frequency (Wei et al 2010), the implementation rate from its introduction in 1998 has recently been reported as being significantly slower than expected (Småros, 2003;Büyüközkan and Vardaloğlu, 2012).…”

Section: Introductionmentioning

confidence: 99%

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A hybrid approach to the study of CPFR implementation enablers

Panahifar

Byrne

Heavey

2015

Production Planning & Control

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Abstract:Collaborative planning, forecasting and replenishment (CPFR) is one of the most important, but also one of the most difficult collaborative strategies in supply chain management. CPFR has been well documented in past research as providing significant benefit to those that implement it well. It has also been noted that CPFR take up has been significantly lower than initially expected. The main reason for this slow up take is the general recognition that successful implementation of CPFR is not a trivial task and the fact that it inflicts dramatic changes to the 'usual' way of doing business. Based on the premise that CPFR has significant positive potential for supply chain collaboration, the motivation of this paper is to review CPFR enablers and to develop a model which addresses the most significant ones. To complete this task a hybrid modeling approach integrating fuzzy extended analytical hierarchy process (FEAHP) and interpretive structural modeling (ISM) is proposed. The model developed is based on an identified gap by the automotive sector and embeds expert opinion, from two separate industrial groups in the automotive sector through the use of workshops. Although potential success factors for CPFR implementation can vary across somewhat between differing supply chains, the results maintain wider general applicability due to the many common issues across sectors. The paper highlights the need for decision makers to be aware of the most influential enablers prior to a CPFR implementation project and to understand the relationships between these enablers.

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Section: Findings and Discussionmentioning

confidence: 99%

Section: Literature Review As a Technique Cpfr Originated From The Vmentioning

confidence: 99%

Section: Literature Review As a Technique Cpfr Originated From The Vmentioning

confidence: 99%

Section: Modeling Approachmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A hybrid approach to the study of CPFR implementation enablers

Panahifar

Byrne

Heavey

2015

Production Planning & Control

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Key factors for efficiently implementing customized e-learning system in the service industry

Chang

Shieh

et al. 2011

J. Syst. Sci. Syst. Eng.

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In recent years, e-learning system has been adopted as a training tool in many firms, as it can help employees to complete training in a short time and at a low cost. Within this context, since 2003 the Industrial Development Bureau (IDB) of the Ministry of Economic Affairs (MOEA) in Taiwan sponsored more than 50 enterprises each year to help them implement customized e-learning systems. Past research on e-learning mostly focused on one criterion and adopted regression approach, such as examining the relationships between satisfaction or continued usage intentions and various antecedent factors. Although the regression method could uncover the significant factors of e-learning adoption, they can not show the can (weighting) of each factor, and thus firms cannot allocate the optimal levels of resources. To overcome this problem, this study collected factors related to firms implementing customized e-learning systems from a review of the literature and expert opinions, and then constructed a hierarchical factor table. Based on the appropriateness and independence of factors, and as assessed by experts in the project promotion office of the IDB, e-learning solution providers and project leaders of the IDB sponsored enterprises, this paper then designed an Analytical Hierarchy Process (AHP) format questionnaire and sent it to these same experts to gather their responses. The factor weightings were derived based on the Fuzzy Analytic Hierarchy Process (FAHP) method. Finally, analysis of key factors was performed and recommendations provided. Based on the results for this work, service industry firms with limited resources can achieve proper resource allocation and more quickly and successfully adopt customized e-Learning systems.

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Factors of 3GWC systems for drawing up customized strategies of promotion

Wang

et al. 2011

J. Syst. Sci. Syst. Eng.

Self Cite

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This study utilizes fuzzy analytic hierarchy process (FAHP) to analyze decision-making patterns with regard to third-generation wireless communications (3GWC) service adoption, and to provide customized strategic recommendations to suppliers of 3GWC services regarding marketing and resource allocation in the context of the Chinese 3GWC market. First of all, a three-layer hierarchy of 3GWC adoption factors is developed by referring to the relevant literature and industry reports. A questionnaire of pairwise comparisons in the fuzzy AHP format is then designed and distributed to experts familiar with the handset market in Shanghai, China. These surveys are then analyzed using fuzzy AHP to establish an understanding of the weights and impacts of the various factors. The results show that the four most important factors for the adoption of 3GWC systems are: (i) handset price and voice and data-transmission fees; (ii) handset aesthetics; (iii) personalization; and (iv) network coverage. These findings suggest that providers of such services should customize and diversify the content/applications they offer and ensure the speed and reliability of network access. In addition, handset designs should be in accordance with consumer demands. If these steps can be achieved, then consumers will adopt 3GWC services more rapidly.

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A study on factors for retailers implementing CPFR — A fuzzy AHP analysis

Cited by 25 publications

References 39 publications

A hybrid approach to the study of CPFR implementation enablers

A hybrid approach to the study of CPFR implementation enablers

Key factors for efficiently implementing customized e-learning system in the service industry

Factors of 3GWC systems for drawing up customized strategies of promotion

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