The impact of market freedom on the adoption of third-party electronic marketplaces: A fuzzy AHP analysis

Fu, Hsin‐Pin; Chao, Pei; Chang, Tao-Hsing; Chang, Yu-Shuang

doi:10.1016/j.indmarman.2007.07.001

Cited by 24 publications

(13 citation statements)

References 35 publications

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“…Huang, Chen, and Wu (2009) used AHP to evaluate distribution channels in the tourism industry by considering overall cost, gross profit, target audience respondent rate, impression rates, and transactional capabilities. To overcome uncertain judgment provided by decision makers, Fu, Chao, Chang, and Chang (2008) applied fuzzy AHP to study whether small and medium-sized enterprises should adopt a third-party electronic marketplace channel strategy or establish their own. Overall, using AHP has become a widely accepted procedure for solving MCDM problems.…”

Section: Mcdm Methods For Evaluating Marketing Channel Alternativesmentioning

confidence: 99%

An analytic decision making framework to evaluate multiple marketing channels

Chen

Kou

Shang

2014

Industrial Marketing Management

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Section: Mcdm Methods For Evaluating Marketing Channel Alternativesmentioning

confidence: 99%

An analytic decision making framework to evaluate multiple marketing channels

Chen

Kou

Shang

2014

Industrial Marketing Management

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“…Regardless, some researchers criticize AHP, claiming that it cannot accurately reflect human cognition because of the uncertainty and ambiguity of decision makers' judgments . It is difficult to understand the partiality of decision makers for certain numbers.…”

Section: Methodsmentioning

confidence: 99%

Evaluating and selecting the biometrics in network security

Liu

Wang

Peng

et al. 2014

Security Comm Networks

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Since Apple merged with AuthenTec, a leading fingerprint recognition company, in 2012, biometrics has widely been considered to strengthen security and privacy in the network security field. Although biometrics has been applied in specific areas for decades, it has gradually proliferated in customer and mobile electronic products to enhance security and privacy. This study aims to evaluate biometrics through conventional technology assessment considerations combined with viewpoints on the specifics of biometric technologies and then to provide suggestions for selection. To conduct the biometric technology assessment, the fuzzy analytic hierarchy process and non-fuzzy best performance approaches are used. Although the outcomes first indicate that technology assessment should be the key object in selecting biometric technologies, that object is followed by biometric competence and key elements of biometrics. The outcomes also indicate that features of the target technologies should be considered when evaluating them. Additionally, fingerprint recognition, iris recognition, and face recognition are the preferred biometrics in evaluation and selection.

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“…When there are many decision-making criteria and alternative plans, fuzzy AHP can avoid the subjectivity inherent in a pair-wise comparison and the subsequent inaccurate results. This study utilizes this process as the research approach, and based on a review of the literature (Alliger & Janak 1989, Fu et al 2006, Braverman 2007, Fu et al 2008, Fu et al 2010) it generalizes the calculation of fuzzy AHP, as shown below:…”

Section: Methodsmentioning

confidence: 99%

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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The impact of market freedom on the adoption of third-party electronic marketplaces: A fuzzy AHP analysis

Cited by 24 publications

References 35 publications

An analytic decision making framework to evaluate multiple marketing channels

An analytic decision making framework to evaluate multiple marketing channels

Evaluating and selecting the biometrics in network security

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

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