A Suitable Business Model for Bank Branches: Combining Business Model and Malmquist Productivity Index (MPI)

Karimi, B.; Davtalab-Olyaie, Mostafa; Abdali, Ali Abdali

doi:10.4172/2151-6219.1000348

Cited by 3 publications

(5 citation statements)

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“…The objective of this differentiation is to gain competitive advantage or better performance. For example, better business model helped banks to increase the productivity in all its branches in Iran (Karimi et al 2018) and similarly innovativeness in value creation and customer co-creation has a positive effect on customer satisfaction (Clauss et al 2019).…”

Section: Discussionmentioning

confidence: 99%

Developing an Instrument for Business Model Dimensions: Exploring Linkages with Firm Competitiveness

Panchal¹,

Krishnamoorthy

2019

JGBC

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The paper aims to develop an instrument to measure the position of a firm on business model dimensions (BMDs). The position of firms on the BMDs will help to delineate successful firms from unsuccessful firms. The scale items for the instrument were identified through a literature review. Four scales, one for each of the four BMDs, were developed. All the scales were empirically tested for reliability and validity. The scales proposed in this paper will help managers to locate the position of their firms on four BMDs and the position of a firm on four BMDs can be benchmarked with the industry average or with the best firm to gain competitive advantage. For the academicians, the scale for BMDs will pave the way for empirical studies to analyze the firm's performance or competitiveness w.r.t to BMDs. The BMDs are used to classify the business model of a firm. However, scales to measure firms' position on the selected BMDs were not available in the current literature. This paper attempted to address this need.

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Section: Discussionmentioning

confidence: 99%

Developing an Instrument for Business Model Dimensions: Exploring Linkages with Firm Competitiveness

Panchal¹,

Krishnamoorthy

2019

JGBC

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“…The Malmquist productivity index (MPI) is a common method for measuring changes in productivity over time and was introduced by Malmquist [36,37]. It was developed as a DEA model by Fare et al [38,39]. MPI can be divided into technical efficiency change index (TECI) and technical change index (TCI) using a distance function without assuming a specific production function.…”

Section: Malmquist Productivity Indexmentioning

confidence: 99%

Operational Performance Evaluation of Korean Ship Parts Manufacturing Industry Using Dynamic Network SBM Model

Park

Kim

2021

Sustainability

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The purpose of this study is to analyze the efficiency and productivity of the Korean ship parts manufacturing industry. To this end, the manufacturing process was divided into two stages (operating activities, financial activities), and the Dynamic Network SBM model and Malmquist Productivity Index were used. We collected analysis data from KIS-VALUE, and analyzed 40 companies from 2014 to 2020. As a result of the analysis, from 2014 to 2017, the average operating efficiency was 0.7825, the average financial efficiency was 0.5208, and the average total efficiency was 0.4537. It was found that improving efficiency requires improving both activities simultaneously, rather than focusing on a specific activity. Operating activities DMI was 1.0025, financial activities DMI was 0.9236, and OMI was 0.9464. In order to improve OMI, it is necessary to improve the financial activities DMI, which is the cause of the decrease in productivity. In order to improve financial activities DMI, government policy or technology change to improve DFS was found to be necessary. Finally, the effect of environmental factors on efficiency was analyzed by tobit regression. It was found that Firm Size had a negative (−) effect on efficiency, and Firm Age had a positive (+) effect on efficiency. The analysis results of this study will help to understand the relationship between input and output, which has been treated as a black box in the manufacturing industry, in two stages; and this will serve as a guideline for those working in Korea’s ship parts manufacturing industry to establish policies.

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“…Different admission control criteria have been proposed. In this paper, the equivalent capacity C est is used (Karimi et al, 2018), since this criterion is based on PBAC mechanism. PBAC is used because of its ease of implementation.…”

Section: Admission Control Criteriamentioning

confidence: 99%

“…Each DMU j has m distinct inputs, given as ( ) The cross-efficiency of the DEA is a traditional development in the two-step process. More precisely, in step 1, the self-evaluation efficiency of each DMU is calculated based on the DEA model of Copper Charnes Rhodes (CCR) (Karimi et al, 2018). In step 2, the weights obtained from step 1 are applied to all the other DMUs in order to achieve a score which is referred to as the crossefficiency evaluation score (Karimi et al, 2018).…”

Section: Cross-efficiencymentioning

confidence: 99%

“…More precisely, in step 1, the self-evaluation efficiency of each DMU is calculated based on the DEA model of Copper Charnes Rhodes (CCR) (Karimi et al, 2018). In step 2, the weights obtained from step 1 are applied to all the other DMUs in order to achieve a score which is referred to as the crossefficiency evaluation score (Karimi et al, 2018). In the following subsection, the cross-efficiency model is presented in 4 steps.…”

Section: Cross-efficiencymentioning

confidence: 99%

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An Approach for Selection of the Most Desirable Internet Network Based on the Cross-Efficiency Model in Data Envelopment Analysis

Chavari¹,

Rostamy-Malkhalifeh²,

Lotfi³

2021

STUD INFORM CONTROL

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Choosing an optimized Internet network by the users and providing a desired network by the internet service providers have always been big challenges in this field. Although there are different approaches for selecting the best set of networks such as Analytic Hierarchy Process, Analytic Network Process, and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), choosing a unique optimal solution still remains an open challenge. The purpose of this paper is to use the decision-making techniques of Data Envelopment Analysis in order to evaluate the existing Internet networks so as to select the most desirable networks. Firstly, a specific Internet network called differentiated service network, that provides the quality of service to the user through the mechanism of Call Admission Control, is stimulated. A novel crossefficiency model is proposed in order to provide a unique ranking of the Internet networks so as to select the optimal network. In particular, secondary goal model based on a satisfaction rate in cross-efficiency is proposed to evaluate and uniquely rank the Internet networks and to select the most desirable network. The present simulated results of 33 networks demonstrate that the proposed model is an effective method for unique ranking of the networks.

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A Suitable Business Model for Bank Branches: Combining Business Model and Malmquist Productivity Index (MPI)

Cited by 3 publications

References 0 publications

Developing an Instrument for Business Model Dimensions: Exploring Linkages with Firm Competitiveness

Developing an Instrument for Business Model Dimensions: Exploring Linkages with Firm Competitiveness

Operational Performance Evaluation of Korean Ship Parts Manufacturing Industry Using Dynamic Network SBM Model

An Approach for Selection of the Most Desirable Internet Network Based on the Cross-Efficiency Model in Data Envelopment Analysis

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