Proposing a Quantitative Model Towards Building Trust in B2C E-Commerce

This article aims to develop a novel model for ranking the parameters that influence the building of trust on online shopping in the context of Iran. A multi-criteria decision making (MCDM) model based on a fuzzy analytic network process (ANP) method is developed to systematically clarify the interdependent relationships among the evaluation criteria of trust and then, scientifically evaluate the feasible parameters and rank the priorities of the trust. The results of the proposed model reveal that under the characteristics of trustor (TR) sub-factors, the most important indicator which can affect the trust is propensity to trust. Furthermore, regarding the characteristics of trustee (TE) sub-factors, data quality with a priority of 0.064 is the most important indicator. Also, in the environmental factors (EN) sub-factors, promotions and advertising with a weight of 0.151 is the most significant indicator.

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AN INTEGRATED MODEL FOR EXTENDING BRAND BASED ON FUZZY ARAS AND ANP METHODS

Journal of Business Economics and Management ◽

10.3846/16111699.2014.923929 ◽

2014 ◽

Vol 15 (3) ◽

pp. 403-423 ◽

Cited By ~ 17

Author(s):

Mahmoud Zamani ◽

Arefeh Rabbani ◽

Abdolreza Yazdani-Chamzini ◽

Zenonas Turskis

Keyword(s):

Perceived Risk ◽

Evaluation Criteria ◽

Brand Extension ◽

Analytic Network Process ◽

Design Quality ◽

Parent Brand ◽

Proposed Model ◽

Network Process ◽

Decision Making Model

Brand extension is one of the most popular strategies in marketing. This is due to the fact that consumers usually take into account the brand first because it indirectly reflects the design, quality, and functions. According to the significant role of brand in creating benefit and diminishing risk for a new product, this study intended to develop a novel model for selecting the most appropriate strategy in brand extension. However, there are a number of criteria influencing the possible strategies, and they often are interdependent. Therefore, a multi-criteria decision making model based on Analytic Network Process and Additive Ratio Assessment methods has been developed to systematically clarify the interdependent relationships among the evaluation criteria of brand extension and then, scientifically evaluate the feasible strategies and rank the priorities of brand extension strategies. The results of the proposed model show that “Production cost” is the most important factor, followed by “Quality of parent brand” and “Perceived risk” while “Ice cream” is the highest satisfaction of brand extension.

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Selecting an Advertising Agency: A Multi-Criteria Decision Making Approach

Vision The Journal of Business Perspective ◽

10.1177/097226290801200402 ◽

2008 ◽

Vol 12 (4) ◽

pp. 13-22 ◽

Cited By ~ 3

Author(s):

Mohd. Nishat Faisal ◽

Bilal Mustafa Khan

Keyword(s):

Decision Making ◽

Evaluation Criteria ◽

Multiple Criteria Decision Making ◽

Analytic Network Process ◽

Advertising Agency ◽

Product Service ◽

Proposed Model ◽

Network Process ◽

Product Personality ◽

Mcdm Method

Indian economy is evolving day by day, and with an upswing spending power of its inhabitants advertising has been emerging as one of the most effective tools for the companies to reach out to their customers. Best advertisement agencies create value through giving the product personality, developing an understanding of product/service, creating an image or memorable picture of that product and above all trying to distinguish the product apart from its competitors. Today, advertising budgets of companies are rising and thus there are numerous agencies in the market vying for their shares. But there exists no method, which can take into account numerous criterions and their impact simultaneously under consideration while selecting a best advertisement agency. Selecting an advertisement agency is a multiple criteria decision-making (MCDM) problem that requires considering large number of complex factors as multiple evaluation criteria. A robust MCDM method should consider the interactions among criteria. Analytic network process (ANP) is a relatively new MCDM method which can deal with all kinds of interactions systematically. This paper proposes an ANP based methodology for the selection of advertisement agencies. ANP is capable of measuring the relative importance that captures all indirect interactions in a network required to be considered in an advertisement agency selection and also their interactions. Additionally, the proposed model is evaluated for a case company.

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Application of Fuzzy Analytic Network Process and TOPSIS Method for Material Supplier Selection

Key Engineering Materials ◽

10.4028/www.scientific.net/kem.728.411 ◽

2017 ◽

Vol 728 ◽

pp. 411-415 ◽

Cited By ~ 6

Author(s):

Nguyen Thanh Phong ◽

Van Nguyen Phuc ◽

To Thuy Hoang Le Nguyen Quyen

Keyword(s):

Decision Making ◽

Supplier Selection ◽

Construction Projects ◽

Significant Proportion ◽

Analytic Network Process ◽

Quantitative Model ◽

Topsis Method ◽

Construction Firms ◽

Network Process ◽

Fuzzy Analytic Network Process

Materials account for a significant proportion of engineering and construction projects budget. Therefore, selecting appropriate material supplier criteria is a critical economic decision, and it plays a significant role in the success of any engineering and construction firms. Traditional supplier evaluating decision-making methods are usually based on subjective opinions of experts, resulting in irrational and inappropriate decisions. This paper proposes a quantitative model for selecting a material supplier by using the Fuzzy Analytic Network Process and TOPSIS method. In this model, the material supplier selection criteria are weighted by using Group Fuzzy Analytic Network Process (GFANP). Then material suppliers are ranked using the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. The proposed decision-making model can provide a robust approach for solving material supplier selection problems.

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A Hybrid Fuzzy Analytic Network Process Approach to the New Product Development Selection Problem

Mathematical Problems in Engineering ◽

10.1155/2014/485016 ◽

2014 ◽

Vol 2014 ◽

pp. 1-13 ◽

Cited By ~ 10

Author(s):

Chiuh-Cheng Chyu ◽

Ying-Chieh Fang

Keyword(s):

Product Development ◽

New Product Development ◽

Real Life ◽

New Product ◽

Analytic Network Process ◽

Selection Problem ◽

Fuzzy Dematel ◽

Proposed Model ◽

Network Process ◽

Fuzzy Analytic Network Process

New product development selection is a complex decision-making process. To uphold their competence in competitive business environments, enterprises are required to continuously introduce novel products into markets. This paper presents a fuzzy analytic network process (FANP) for solving the product development selection problem. The fuzzy set theory is adopted to represent ambiguities and vagueness involved in each expert’s judgment. In the proposed model, the fuzzy Kano method and fuzzy DEMATEL are employed to filter criteria and establish interactions among the criteria, whereas the SAM is applied to aggregate experts’ opinions. Unlike the commonly used top-down relation-structuring approach, the proposed FANP first identifies the interdependence among the criteria and then the identified relationships are mapped to the clusters. This approach is more realistic, since the inner and outer relationships between criteria are simultaneously considered to establish the relationships among clusters. The proposed model is illustrated through a real life example, with a comparative analysis using modified TOPSIS and gray relation analysis in the synthesizing phase. The concluded results were approved by the case company. The proposed methodology not only is useful in the case study, but also can be generally applied in other similar decision situations.

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A Framework for Assessing Websites Quality

Advances in E-Business Research - Optimizing Current Practices in E-Services and Mobile Applications ◽

10.4018/978-1-5225-5026-6.ch013 ◽

2018 ◽

pp. 248-272 ◽

Cited By ~ 1

Author(s):

Ahad Zare Ravasan ◽

Mohammad Amin Zare

Keyword(s):

Quality Assessment ◽

Analytic Network Process ◽

Easy Access ◽

Operational Costs ◽

Proposed Model ◽

Systems Quality ◽

Network Process ◽

The Government ◽

Fuzzy Analytic Network Process

E-government has provided the state-run sector with numerous opportunities to offer a variety of online services to citizens and businesses through websites. These websites have been launched in order to provide easy access to government services, boost the efficacy of the government-run sector and reduce operational costs. Given the point that many of these websites have gradually been developed and have scarcely been standardized to meet the requirements of site visitors, it is necessary to develop models for quality assessment of such websites. In this study, an information systems quality assessment (ISQA) based method along with fuzzy analytic network process (ANP) has been exploited to assess the quality of governmental websites. In order to validate the proposed model, it is applied to portals in six Iranian free trade zones. Finally, the assessment results are discussed.

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