Selecting the preferable bancassurance alliance strategic by using expert group decision technique

Wu, Cheng‐Ru; Lin, Chin‐Tsai; Lin, Yu‐Fan

doi:10.1016/j.eswa.2008.02.016

Cited by 42 publications

(15 citation statements)

References 21 publications

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“…Recently, integrated approaches have been extensively applied in the literature. Some examples of these applications include selection of the strategic alliance partner in logistic value chain (Büyüközkan et al, 2008), evaluation of Turkish cement firms' performance (Ertuğrul & Karakaşoğlu, 2009), evaluation of hazardous waste transportation firms (Gumus, 2009 (Tzeng et al, 2005), and selection of the most suitable bancassurance alliance structure (Wu et al, 2009). However, during the literature survey, we have not encountered an integrated decision-making method to guide managers in taking a proper decision about six sigma project selection.…”

Section: Evaluation Framework and Methods For Six Sigma Project Selecmentioning

confidence: 99%

“…The comparison matrix of the criteria in Table 1 is then used to calculate the weights of this matrix using Equation (3). Furthermore, we used Equations (4) and (5) to perform the consistency checks (Wu et al, 2009). CI and CR of the aggregate pairwise comparison matrix provided by the 13 experts are below 0.10, indicating a satisfactory degree of consistency (Saaty, 1980).…”

Section: The Application Of Proposed Methodsmentioning

confidence: 99%

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An Integrated Fuzzy Multi-Criteria Decision-Making Approach for Six Sigma Project Selection

Perçin¹,

Kahraman²

2010

IJCIS

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Selecting an appropriate six sigma project is one of the most important problems for a manufacturing company because it impacts the manufacturing costs. Besides, an appropriate choice of Six Sigma projects is very important as it helps to improve quality, reduce variation, and eliminate waste of a manufacturing system. Therefore, the main purpose of this study is to provide a good insight into the use of an integrated decision-making methodology in the evaluation of Six Sigma projects. For this purpose, we integrate three multi-criteria decision-making (MCDM) methods by applying a modified Delphi method, Analytical Hierarchy Process (AHP) and Fuzzy Technique for Order Preference by Similarity to Ideal Solution (FTOPSIS) methodologies. After the evaluation criteria of Six Sigma projects are determined by a Modified Delphi method, the weights of criteria are calculated by applying the AHP method. The FTOPSIS method is then employed to achieve the final ranking results. A real case application along with a sensitivity analysis is presented to show the effectiveness of the proposed methodology. The research question for this methodology is how we can develop an integrated MCDM model to select six sigma projects. six sigma has become one of the most important subjects in business strategy. Thus, six sigma has received considerable attention from researchers. Three research areas for six sigma have attracted interest among the researchers: First, the critical success factors for six sigma implementation, second, the basic concepts, tools, and applications of six sigma approach and finally the selection of six sigma projects for business improvement. This paper focuses on the last area.Six sigma is regarded as a project-based methodology that can help a company achieve expected benefits through continuous project improvement (Su & Chou, 2008). It is originated at Motorola in the early 1980s, and then many companies such as GE

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Section: Evaluation Framework and Methods For Six Sigma Project Selecmentioning

confidence: 99%

Section: The Application Of Proposed Methodsmentioning

confidence: 99%

An Integrated Fuzzy Multi-Criteria Decision-Making Approach for Six Sigma Project Selection

Perçin¹,

Kahraman²

2010

IJCIS

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“…The AHP has been widely implemented in banks (e.g. Haghighi et al, 2010), manufacturing systems (Yang et al, 2009), drugs selection (Vidal et al, 2010), site selection (Önüt et al, 2010), software evaluation (Chang et al, 2009), evaluation of website performance (Liu and Chen, 2009), strategy selection (Chen and Wang, 2010;Wu et al, 2009), supplier selection (Chamodrakas et al, 2010), etc. A recent study of the use of AHP specifically in the context of the security assessment of high-speed railways appears in Setola et al (2017).…”

Section: Background Literaturementioning

confidence: 99%

Analysis of interpretive structural model of Indian railway security system by analytic hierarchy process (AHP)

Srivastava¹,

Gaur

Swami³

et al. 2019

JAMR

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Purpose Security and safety have remained important concerns for mankind since ancient times. In the context of railways, however, the threat perceptions to safety and security have increased significantly lately. In view of this, the Indian Railways requires an effective and efficient security management system. The purpose of this paper is to propose an integrated approach to help develop the Indian railway security system (IRSS) by successively reducing the complexity of the system through a series of studies. Design/methodology/approach The relevant elements of the complex system of Indian Railways have been identified. The framework in which the elements exist and interact with each other has been clearly established using the interpretive structural modelling (ISM) technique. The output of ISM is further reduced in complexity by having different policy option profiles. A comparison of different option profiles has been done by a multi-criteria decision-making technique, the analytic hierarchy process (AHP), by choosing suitable criteria for comparison. Findings The following elements need to be pursued as the key objectives for making IRSS: protection of passengers, protection of property, modernisation, manpower enhancement, multi-skilling of staff, latest technology and enhanced legal powers. Research limitations/implications The present research can be extended in many important ways. Interpretive structural models for different contextual relationships can be developed and used for formulating and implementing customised security policy. Policy elements and the ISM structure obtained in this research can be utilised for the system dynamic modelling of IRSS. A pilot study can be done to implement the recommendations made in this study. Practical implications The ISM model developed can be implemented as a policy tool in enhancing the railway’s security. Some of the policy elements proposed appear to be consistent with the strategic direction being undertaken in the railway security in the country. Social implications Security is an important concern for mankind and social civilisations. The results have significant welfare implications in India and the rest of the world. Originality/value The present study is one of the first approaches in a series of studies in railway security in India. The results of this study can be extended to other security scenarios with similar needs.

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“…Related to AHP application have focused some reviews marketing (Wind and Saaty, 1980;Mark 2001), energy (Pohekar and Ramachandran, 2004), medical and health care decision making (Liberatore and Nydick, 2008), research and development (R&D) project selection and resource allocation (Heidenberger and Stummer, 1999), banks (Secme et al, 2009;Haghighi et. al., 2010), strategy selection (Li and Li, 2009;Limam et al, 2009;Wu et al, 2009;Chen and Wang, 2010).…”

Section: Materials and Methodologymentioning

confidence: 99%

Agricultural Credit Market and Farmers’ Response: A Case Study of Turkey

Erdoğan

Movassaghi

2017

Turkish JAF Sci.Tech.

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Agriculture is an important sector in Turkey’s economy. Access to credit financing is critical for timely acquisition of different inputs, farm productivity, and ultimately farmers’ financial well-being. Historically, Ziraat Bank and Agricultural Credit Cooperatives, supported by Turkish government, have been the principle supplier of loanable funds in the agricultural sector. However, since 2000, many private banks have discovered the potential of this market and entered the competition. This study was designed to investigate the structure of the agricultural credit market in Turkey and identify factors that influence farmers’ preference among alternative lenders. It was found that although the 550 Turkish farmers surveyed had several options among lenders, low interest rates and attainable eligibility criteria emerged as the most important differentiators among banks. Results from the Analytic Hierarchy Process (AHP) demonstrate the rising role of private banks’ credit. However, Ziraat Banks’ subsidized credits still dominant and its composite weight is 30.74% of total amount of agricultural credit market.

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Selecting the preferable bancassurance alliance strategic by using expert group decision technique

Cited by 42 publications

References 21 publications

An Integrated Fuzzy Multi-Criteria Decision-Making Approach for Six Sigma Project Selection

An Integrated Fuzzy Multi-Criteria Decision-Making Approach for Six Sigma Project Selection

Analysis of interpretive structural model of Indian railway security system by analytic hierarchy process (AHP)

Agricultural Credit Market and Farmers’ Response: A Case Study of Turkey

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