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Article
Publication date: 6 March 2017

Amir Karbassi Yazdi and Farshid Abdi

The purpose of this paper is to find excellent banks on the basis of identified variables. First of all, banks are evaluated based on operation costs, deposits, staff…

Abstract

Purpose

The purpose of this paper is to find excellent banks on the basis of identified variables. First of all, banks are evaluated based on operation costs, deposits, staff, investments, net profit, and loans variables. Subsequently, these variables are categorized into inputs and outputs. The performances of the banks based on these variables are analyzed by data envelopment analysis (DEA) method to find efficiency and inefficiency of decision making units (DMUs).

Design/methodology/approach

This research is aimed to determine the best banks based on predetermined indicators. The indicators are categorized into inputs and outputs. DEA method is used to find efficiency and inefficiency of DMU. However, the aim is to find the efficient banks and to implement the model by using AP Super Efficiency method in order to find the most efficient unit for benchmarking. However, some inputs and outputs have more priority for banks than the others, as a result it will require some changes.

Findings

The results indicate that among 13 banks, including ten public and three private, solely five public banks are efficient. Moreover, DEA is used as a benchmarking tool for inefficient banks to be efficient. Among these banks ten of them are public banks and three are private. Among efficient ones, all are public banks. Moreover, five of public banks and three of private are inefficient.

Originality/value

In some cases, inputs and outputs have more priority for DMs than the others, as a result it will require some changes. Also, if one of the inputs or outputs is larger in number than the others, the DMU becomes efficient, despite its low priority. Thus, for solving this problem, the indicators of this research are ranked by Rembrandt method considering the existing ones to find the best banks (best DMU) based on their performance and the relevant indicators.

Details

Benchmarking: An International Journal, vol. 24 no. 2
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 15 December 2017

Farshid Abdi, Kaveh Khalili-Damghani and Shaghayegh Abolmakarem

Customer insurance coverage sales plan problem, in which the loyal customers are recognized and offered some special plans, is an essential problem facing insurance…

Abstract

Purpose

Customer insurance coverage sales plan problem, in which the loyal customers are recognized and offered some special plans, is an essential problem facing insurance companies. On the other hand, the loyal customers who have enough potential to renew their insurance contracts at the end of the contract term should be persuaded to repurchase or renew their contracts. The aim of this paper is to propose a three-stage data-mining approach to recognize high-potential loyal insurance customers and to predict/plan special insurance coverage sales.

Design/methodology/approach

The first stage addresses data cleansing. In the second stage, several filter and wrapper methods are implemented to select proper features. In the third stage, K-nearest neighbor algorithm is used to cluster the customers. The approach aims to select a compact feature subset with the maximal prediction capability. The proposed approach can detect the customers who are more likely to buy a specific insurance coverage at the end of a contract term.

Findings

The proposed approach has been applied in a real case study of insurance company in Iran. On the basis of the findings, the proposed approach is capable of recognizing the customer clusters and planning a suitable insurance coverage sales plans for loyal customers with proper accuracy level. Therefore, the proposed approach can be useful for the insurance company which helps them to identify their potential clients. Consequently, insurance managers can consider appropriate marketing tactics and appropriate resource allocation of the insurance company to their high-potential loyal customers and prevent switching them to competitors.

Originality/value

Despite the importance of recognizing high-potential loyal insurance customers, little study has been done in this area. In this paper, data-mining techniques were developed for the prediction of special insurance coverage sales on the basis of customers’ characteristics. The method allows the insurance company to prioritize their customers and focus their attention on high-potential loyal customers. Using the outputs of the proposed approach, the insurance companies can offer the most productive/economic insurance coverage contracts to their customers. The approach proposed by this study be customized and may be used in other service companies.

Article
Publication date: 11 January 2022

Seyedehanahita Mousavi, Ashkan Hafezalkotob, Vahidreza Ghezavati and Farshid Abdi

This study aims to identify and accurately assess the risk factors of competitors’ cooperation in the NPD project.

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Abstract

Purpose

This study aims to identify and accurately assess the risk factors of competitors’ cooperation in the NPD project.

Design/methodology/approach

New product development (NPD) is essential to the survival of companies and surpassing other competitors. A key prerequisite for the success of an NPD project is the timing of new product delivery to the market. The main challenge faced by many project managers is the delay in execution and completion phases due to the complex nature and uncertainty of these projects. Rival companies' cooperation reduces the time spent on an NPD project which is an excellent way to reduce the risk of losing the market, but it increases other risk factors.

Findings

Based on the results, the security and confidentiality of innovation, the competitors attracting human resources and the company’s brand credibility factors were ranked higher than other factors and should be predicted and managed before cooperating with competitors.

Originality/value

This paper proposed a new model to assess risk factors in cooperation with rival companies in NPD projects. This model takes into account new parameters, for example, negative and positive risks, negative and positive passable risks and risk-based multi-objective optimization by ratio analysis plus full multiplicative form methodology for the rival companies cooperation in NPD projects. To evaluate the efficiency of the proposed model, a real case of the R&D unit of Iran Khodro Company was studied.

Details

Journal of Business & Industrial Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0885-8624

Keywords

Article
Publication date: 9 November 2018

Nasser Javid, Kaveh Khalili-Damghani, Ahmad Makui and Farshid Abdi

This paper aims to propose a multi-dimensional model on the basis of the key factors of the flexibility and the complexity through structural equation modeling (SEM)…

Abstract

Purpose

This paper aims to propose a multi-dimensional model on the basis of the key factors of the flexibility and the complexity through structural equation modeling (SEM). Dimensions of the flexibilities and complexity, including 16 main factors and 34 sub-factors, are investigated. The sampling of the research is accomplished using both academic and industrial experts.

Design/methodology/approach

A huge electronic questionnaire analysis, including 1,250 samples from which 1,036 were returned, was accomplished in various universities and manufacturing companies throughout the USA, Europe and Asia. Partial least square-SEM (PLS-SEM) is used to test the hypotheses through confirmatory factor analysis.

Findings

The results reveal insightful information about the impacts of different dimensions of flexibility on each other and also the effect of the flexibility on the complexity. Finally, system of linear mathematical equations for flexibility-complexity trade-off is proposed. This can be applied to realize the trade-off among dimensions of flexibility and complexity.

Originality/value

Flexible manufacturing systems are formed to meet the needs of the customers. Such systems try to produce products in appropriate quality at the right time and at the specified quantity. These, in turn, require flexibility and will cause complexity. Although flexibility and complexity are both important, there is no comprehensive framework in which the multi-dimensional relationships of the manufacturing flexibility and complexity, as well as their dimensions, are demonstrated.

Article
Publication date: 4 April 2016

Mehran Salavati, Milad Tuyserkani, Seyyede Anahita Mousavi, Nafiseh Falahi and Farshid Abdi

The principal aim of this study is to investigate the relationship between technological, marketing, organizational and commercialization risk management on new product…

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Abstract

Purpose

The principal aim of this study is to investigate the relationship between technological, marketing, organizational and commercialization risk management on new product development (NPD) performance.

Design/methodology/approach

Based on questionnaire, the data were collected from a sample of general automotive industry in Iran. Based on theoretical considerations, a model was proposed and descriptive statistic and hierarchical regression were used to measure the relationship between risk management factors and NPD performance.

Findings

Data analysis revealed that if organization can amplify their knowledge and information about risk and main factors that affect NPD process, not only can they do their work better but can also increase their ability to predict future happenings that affect performance.

Research limitations/implications

First, due to the relatively small sample size, caution should be exercised when interpreting the results. Second, the data were collected from automotive producer in Iran, which may restrict to some extent generalizability of the findings.

Practical implications

The results suggest that managers should consider more attention to risk management. If managers spread the risk management in all aspects of the NPD project, total performance will be increased and it can develop the probability of NPD success. Also organizations should perform great market research due to best commercialization.

Originality/value

Past researches have presented complete information about NPD process. But identifying and considering the effect of the risk management parameters that are connected to the NPD process were the main thrusts to perform the study. In this paper, based on past research about risk management of NPD, the extra aspect of process that can improve total performance of NPD has been examined.

Details

Journal of Business & Industrial Marketing, vol. 31 no. 3
Type: Research Article
ISSN: 0885-8624

Keywords

Content available
Article
Publication date: 4 April 2016

José M. Merigó, Anna M. Gil-Lafuente and Jaime Gil-Lafuente

This special issue of the Journal of Business & Industrial Marketing, entitled “Business, Industrial Marketing and Uncertainty”, presents selected extended studies that…

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Abstract

Purpose

This special issue of the Journal of Business & Industrial Marketing, entitled “Business, Industrial Marketing and Uncertainty”, presents selected extended studies that were presented at the European Academy of Management and Business Economics Conference (AEDEM 2012).

Design/methodology/approach

The main focus of this year was reflected in the slogan: “Creating new opportunities in an uncertain environment”. The objective was to show the importance that uncertainty has in our current world, strongly affected by many complexities and modern developments, especially through the new technological advances.

Findings

One fundamental reason that explains the economic crisis is that the government and companies were not well prepared for these critical situations. And the main justification for this is that they did not have enough information. Otherwise, they would have tried any possible strategy to avoid the crisis. Usually, uncertainty is defined as the situation with unknown information in the environment.

Originality/value

From a theoretical perspective, the problem here is that enterprises and governments should assess the information and the uncertainty in a more appropriate way. Usually, they have some studies in this direction, but many times, it is not enough, as it was proved in the last economic crisis.

Details

Journal of Business & Industrial Marketing, vol. 31 no. 3
Type: Research Article
ISSN: 0885-8624

Keywords

Article
Publication date: 30 July 2019

Kamal Khanna and Rakesh Kumar

The purpose of this paper is to present an organized review of existing research on reconfigurable manufacturing system (RMS). The paper considers majority of the…

Abstract

Purpose

The purpose of this paper is to present an organized review of existing research on reconfigurable manufacturing system (RMS). The paper considers majority of the prominent research articles in the domain of RMS published ever since RMS was envisaged in 1997.

Design/methodology/approach

The paper systematically reviews, classifies and analyses the published literature on postulations and design of RMSs. The general observations from the literature and research gaps recognized thereon are highlighted at the end of each section/sub-section.

Findings

The paper reveals important aspects related to RMS research since its inception. It also recognizes the areas of RMS research requiring more focus. The study also highlights open issues and future directions for further research.

Practical implications

The literature in the domain of RMS has so far been narrow. This paper reviews the prominent research in this field and presents an overview of its conceptual developments and various mathematical models for the RMS design and its optimization so far developed by the researchers. Further, manufacturing advancements and future directions have also been proposed for the efficient execution of RMS paradigm in manufacturing industries.

Originality/value

The paper provides an organized listing of published research work in the field of RMS. This work will provide an insight to the researchers, practitioners and others related directly or indirectly to this field to develop and understand better strategies for supervising and controlling the smooth implementation of RMS.

Details

Benchmarking: An International Journal, vol. 26 no. 8
Type: Research Article
ISSN: 1463-5771

Keywords

Article
Publication date: 11 March 2019

Ahmad Torkzad and Mohammad Ali Beheshtinia

Hospital evaluations create competition between healthcare providers. In this study, a multi criteria decision-making (MCDM) method is used to evaluate criteria that…

Abstract

Purpose

Hospital evaluations create competition between healthcare providers. In this study, a multi criteria decision-making (MCDM) method is used to evaluate criteria that affect hospital service quality. The paper aims to discuss these issues.

Design/methodology/approach

Criteria affecting hospital service quality are identified. Four Iranian public hospitals are evaluated using these criteria. Four hybrid methods, including modified digital logic–technique for order of preference by similarity to an ideal solution, analytical hierarchy process–technique for order of preference by similarity to an ideal solution, analytical hierarchy process–elimination and choice expressing reality and modified digital logic–elimination and choice expressing reality are used to evaluate hospital service quality. Results are aggregated using the Copeland method and final ranks are determined.

Findings

The four main criteria for evaluating hospital service quality are: environment; responsiveness; equipment and facilities; and professional capability. Results suggest that professional capability is the most important criterion. The Copeland method, used to integrate four MCDM hybrid methods, provides the final hospital ranks.

Practical implications

The criteria the authors identified and their weight help hospital managers to achieve comprehensive organizational growth and more efficient resource usage. Moreover, the decision matrix helps managers to identify their strengths and weaknesses.

Originality/value

New and comprehensive criteria are proposed for hospital quality assessments. Moreover, a new hybrid MCDM approach is used to achieve final hospital rankings.

Details

International Journal of Health Care Quality Assurance, vol. 32 no. 2
Type: Research Article
ISSN: 0952-6862

Keywords

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