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Ding JF, Weng JH, Chou CC. Determinants of customer value at department stores in Taiwan: An application of fuzzy AHP. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2023. [DOI: 10.3233/jifs-222175] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/30/2023]
Abstract
Evaluating the factors affecting customer value in department stores will shed light on the motivations of customers when choosing department stores, which will help department stores to improve their business performance and competitiveness. This paper applies the fuzzy Analytic Hierarchy Process (AHP) method to empirically analyze the determinants of customer value at department stores in Taiwan. This study first found the major factors influencing customer value at department stores in Taiwan through a review of the literature and expert interviews, and these factors consisted of four evaluation dimensions and 20 evaluation criteria. An empirical investigation was then conducted through an AHP expert questionnaire survey. The main findings of this paper were as follows: (1) “Physical environment” was the most important evaluation dimension for customer value at department stores in Taiwan. (2) The four leading factors influencing customer value in department stores were “roomy and comfortable space,” “responsive customer service,” “planning of lines of movement at counters,” and “parking area and facilities.” This study also performed further discussion of the four evaluation criteria as a reference for department stores that wish to raise their competitiveness.
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Ahmed I, Mehta SS, Ganeshkumar C, Natarajan V. Learning from failure to enhance performance: a systematic literature review of retail failure. BENCHMARKING-AN INTERNATIONAL JOURNAL 2022. [DOI: 10.1108/bij-04-2021-0189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeThe objective of this paper is to develop a map of the contours of the phenomenon of retailer failure by aggregating, parsing and extracting known findings regarding business failure in marketing, business and other streams of inquiry to provide a comprehensive understanding of research on the topic. Defined as the converse of retailer performance, an understanding of retail failure is expected to yield insights for performance measurement and benchmarking studies.Design/methodology/approachThe paper includes a systematic literature review, employing state-of-the-art tools such as VOSViewer.FindingsThe analysis reveals patterns in the intellectual structure of the research on retail failure, as well as patterns of influence. While the discipline of marketing has been surprisingly limited in the study of retail failure, study of retail failure has been pursued by other branches of the business discipline, and even some disciplines other than business.Originality/valueThis paper provides a comprehensive and systematic literature review on the topic of retail failure.
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Integrating FSE and AHP to Identify Valuable Customer Needs by Service Quality Analysis. SUSTAINABILITY 2022. [DOI: 10.3390/su14031833] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
In this study, we explore the needs of different valuable customer groups for service quality and how limited resources are allocated to enhance service quality. Accordingly, we propose a hybrid multi-criteria decision-making (MCDM) tool that uses fuzzy synthetic evaluation (FSE) in combination with the analytic hierarchy process (AHP) to help companies enhance understanding of quantitative data (the weights of the factors that affect service quality) and qualitative information to identify valuable customers. Fifty-three experts and 304 consumers at convenience stores (CVS) comprise the data set. We employed the AHP to obtain index weights in the second step of FSE and conducted FSE to determine the importance of various valuable customer groups. The results demonstrate that different valuable customer groups have dissimilar perceptions and feelings about service quality. The findings indicate that customers between “20 to 29 years old” are the most valuable customer group and that most consumers do not care much about “problem solving”. The analysis is distinct from extant work in that it examines the effect of receiving service quality from a consumer viewpoint, as we conducted a comprehensive analysis from both customer and expert perspectives.
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Kaur M, Gupta S. The determinants of bank selection criteria of SMEs: a fuzzy analytic hierarchy approach. JOURNAL OF SCIENCE AND TECHNOLOGY POLICY MANAGEMENT 2021. [DOI: 10.1108/jstpm-01-2021-0009] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
Small and medium enterprises (SMEs) have been reported as a credit-constrained sector in the earlier literature. Amidst the available external financing options, SMEs are dependent upon banks for their financial needs, hence they offer an important profitable segment for banks. Commercial banks need to develop effective targeting strategies for this segment and ranking the priorities of SMEs in selecting commercial banks will be of great help to them. The purpose of this paper is to implement a fuzzy analytic hierarchy process (FAHP) multi-criteria decision model for commercial bank’s selection by SMEs.
Design/methodology/approach
The research process was carried out in two phases. In Phase I, a self-structured scale was developed to measure bank selection criteria of SMEs after an extensive review of the literature of relevant studies on the topic. A sample of 600 SMEs was selected through non-proportionate quota sampling and only 313 valid responses were received. Phase II was conducted to prioritize the extracted factors through FAHP, a multi-criteria decision-making technique. For this purpose, another questionnaire was designed in the form of pair-wise evaluation and the response was taken on the same from those 313 SMEs again.
Findings
The results showed that SMEs bank selection criteria can be categorized under six heads, namely, bank attributes, accommodation of credit needs (AC), bank personnel, financial factors (FF), service quality (SQ) and business knowledge. The research study produced a reliable and valid instrument for studying the bank selection criteria of SMEs. The results further revealed that AC is the most important factor considered by SMEs followed by FF and SQ. Going further, global weights were also calculated through the FAHP which revealed that the most important consideration (variable) viewed upon by SMEs is willingness to accommodate credit needs followed by flexible collateral requirements and absence of hidden charges.
Research limitations/implications
The results of the present study offer significant insights as to the factors SMEs consider while making a bank selection decision. It is of utmost importance for banks to identify true determinant factors used by SMEs while making bank choice decisions as they offer ample profit and revenue opportunities to banks. The results of the study provide a practical approach to banks that would help them in framing strategies for SMEs customers.
Originality/value
This is the first study of its kind which has not only focused on the hierarchy of factors measuring bank selection criteria of SMEs rather on the hierarchy of single variables also through the calculation of global weights. As banks cannot focus on all the dimensions of the criteria, they can focus on the spirit of that particular criteria.
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Jakhar R, Verma D, Rathore APS, Kumar D. Prioritization of dimensions of visual merchandising for apparel retailers using FAHP. BENCHMARKING-AN INTERNATIONAL JOURNAL 2020. [DOI: 10.1108/bij-11-2019-0497] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeVisual merchandising has a direct impact on shopping experience, making it pertinent for the retailers to ensure that their store environment has an effective design. This study blends fuzzy numbers and Analytical Hierarchy Process to create a fuzzy evaluation model prioritizing the relative weights of visual merchandising dimensions of online fashion apparel store. This study will help the fashion retailers in creating more engaging and informative online stores leading to subsequent increase in online retail sales.Design/methodology/approachVisual merchandising dimensions and sub dimensions used by retailers for online stores were identified through review of literature and discussion with experts. Twenty experts were interviewed and their responses captured. The responses were analyzed using Fuzzy AHP technique resulting in prioritizing the dimensions according to the weight. For testing the stability of the results, sensitivity analysis was conducted.FindingsFour key dimensions and sixteen sub dimensions were extracted. Weights were calculated using FAHP. “Pictorial Presentation” has the highest weight followed closely by “Product Information” dimension. Amongst the sub-dimensions “Number of Product Images” scored highest followed by “Product Presentation mode”. “Alterable Background” scored the least weight.Originality/valuePrevious studies have identified Online Visual Merchandising dimensions and have also studied the impact of some of these dimensions on consumer buying behavior, but the relative significance has not been determined yet. This study fills the gap.
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Prioritizing the barriers of TQM implementation from the perspective of garment sector in developing countries. BENCHMARKING-AN INTERNATIONAL JOURNAL 2019. [DOI: 10.1108/bij-01-2019-0023] [Citation(s) in RCA: 56] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
The purpose of this paper is to investigate the relative importance of different total quality management (TQM) implementation barriers in the context of Readymade Garment (RMG) industries in Bangladesh. Present study has developed a hierarchical framework of several TQM barriers to assess their importance. Expert opinions from RMG industries have been taken to evaluate the importance of one barrier over another.
Design/methodology/approach
Methodology adopted in this study to find out the rank of different TQM barriers is fuzzy analytic hierarchy process.
Findings
The study shows that, according to order, inappropriate planning of TQM implementation program, lack of financial support, lack of employee training, lack of empowerment of employees, lack of sufficient physical resources, etc. are critical barriers and hampering the successful implementation of TQM program in this sector.
Research limitations/implications
This study has both theoretical and practical implications. It has found out strong and weak contribution of different barriers during TQM implementation. Therefore, this finding will strengthen the knowledge of successful implementation of TQM and will further enrich the existing literature in the context of manufacturing industries in developing countries. Moreover, this finding will also help the decision makers in preparing an effective plan for successful implementation of TQM by utilizing limited resources.
Practical implications
Moreover, our results will aid the managers of RMG sector to find the weight of importance of different barriers. Accordingly, they will make a plan to overcome the major TQM barriers which will increase the success rate of TQM implementation. Every Successful program will bring business excellence. These findings could be a guideline for TQM implementation program in developing countries.
Originality/value
Present study possesses some significant values. First, so far our knowledge go, no other study has developed a hierarchical structure of TQM barrier on the basis of overall change needed within the organization for TQM implementation. Second, this study could be a good guideline for TQM implementation program in RMG sector in developing countries.
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Kouatli I. People-process-performance benchmarking technique in cloud computing environment. INTERNATIONAL JOURNAL OF PRODUCTIVITY AND PERFORMANCE MANAGEMENT 2019. [DOI: 10.1108/ijppm-04-2017-0083] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
Cloud computing is relatively a new type of technology demanding a new method of management techniques to attain security and privacy leading to customer satisfaction regarding “Business Protection” measure. As cloud computing businesses are usually composed of multiple colocation sites/departments, the purpose of this paper is to propose a benchmark operation to measure and compare the overall integrated people-process-performance (PPP) among different departments within cloud computing organization. The purpose of this paper is to motivate staff/units to improve the process performance and meet the standards in a competitive approach among business units.
Design/methodology/approach
The research method was conducted at Cirrus Ltd, which is a cloud computing service provider where a focus group consists of six IT professionals/managers. The objective of the focus group was to investigate the proposed technique by selecting the best practices relevant criteria, with the relevant sub-criteria as a benchmarking performance tool to measure PPP via an analytic hierarchy processing (AHP) approach. The standard pairwise comparative AHP scale was used to measure the performance of three different teams defined as production team, user acceptance testing team and the development team.
Findings
Based on best practice performance measurement (reviewed in this paper) of cloud computing, the proposed AHP model was implemented in a local medium-sized cloud service provider named “Cirrus” with their single site data center. The actual criteria relevant to Cirrus was an adaptation of the “Best practice” described in the literature. The main reason for the adaptation of criteria was that the principle of PPP assumes multiple departments/datacenters located in a different geographical area in large service providers. As Cirrus is a type of SMEs, the adaptation of performance measurement was based on teams within the same data center location. Irrelevant of this adaptation, the objective of measuring vendors KPI using the AHP technique as a specific output of PPP is also a valid situation.
Practical implications
This study provides guidance for achieving cloud computing performance measurement using the AHP technique. Hence, the proposed technique is an integrated model to measure the PPP under monitored cloud environment.
Originality/value
The proposed technique measures and manages the performance of cloud service providers that also implicitly act as a catalyst to attain trust in such high information-sensitive environment leading to organizational effectiveness of managing cloud organizations.
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Ilbahar E, Kahraman C. Retail store performance measurement using a novel interval-valued Pythagorean fuzzy WASPAS method. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS 2018. [DOI: 10.3233/jifs-18730] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Affiliation(s)
- Esra Ilbahar
- Department of Industrial Engineering, Yildiz Technical University, Istanbul, Turkey
- Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey
| | - Cengiz Kahraman
- Department of Industrial Engineering, Istanbul Technical University, Istanbul, Turkey
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Basset MA, Mohamed M, Sangaiah AK, Jain V. An integrated neutrosophic AHP and SWOT method for strategic planning methodology selection. BENCHMARKING-AN INTERNATIONAL JOURNAL 2018. [DOI: 10.1108/bij-08-2017-0232] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
PurposeStrategic planning is an organization’s process of describing its strategy, or direction, and making decisions on allocating its resources to track this strategy. SWOT analysis is one of the most commonly used techniques for strategic planning. SWOT examines the strengths (S) and weaknesses (W) agents of the community together with opportunities (O) and threats (T), for selecting and implementing the best strategy which helps in achieving its goals. The purpose of this paper is to enhance the performance of SWOT analysis regarding the quantitative side of strategies, select the best strategy from different strategies and deal effectively with vague and incompatible information, which occurs usually in actual life.Design/methodology/approachThis study used the neutrosophic analytic hierarchy process (AHP) incorporated with SWOT analysis.FindingsBy adding the neutrosophic AHP to SWOT analysis, the performance of SWOT analysis is enhanced through determining the quantitative values and dealing with vague and inconsistent information effectively leading to improved decisions.Research limitations/implicationsThe developed integrated methodology is validated in a real-life case of Starbucks company. For the case study of Starbucks company, the proposed model helps in determining different strategic plans and, further, ranking these plans effectively, which will help the company to compete with its competitors and develop itself by obtaining a competitive advantage over its competitors in an uncertain business environment.Practical implicationsIn the case study of Starbucks company, the proposed model helps to determine the different strategic plans, rank these plans which help the company compete with its competitors, develop itself and grow.Originality/valueThis research is the first to address SWOT analysis with neutrosophic AHP.
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Multicriteria model for selecting TQM consultancy and certification services. BENCHMARKING-AN INTERNATIONAL JOURNAL 2016. [DOI: 10.1108/bij-05-2015-0049] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
The purpose of this paper is to establish the need and the importance of adopting a structured model to support the decisions by using a multicriteria focus to guide drawing up a methodological framework. In addition, this study considers the maturity level of the organization, and the importance of continuous improvement after implementing ISO 9001.
Design/methodology/approach
This study presents a scientific technical foundation of the qualifying and selection criteria of the consultancy and Accredited Certification Body (ACB) by using ISO standards, and the guidance document CB25, which is related to quality. Finally, a numeric application with realistic data is undertaken using the PROMETHEE II method, and the GAIA plan.
Findings
The development of this study provides a new insight into the importance for selecting consultancy, and certification services in order to implement quality management systems within organizations.
Research limitations/implications
The current study is limited to the quality management services. If necessary to apply the same model to other areas, it is necessary looking for documents and regulations of this field. In addition, this model is focussed on a model for small or medium companies, which are still trying to achieve a higher position in the sector, and do not have experts in quality management.
Originality/value
The differential of this study is the foundation of the criteria for the proposed model. Other studies choose these criteria without any scientific basis. On the other hand, this study goes over many documents.
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