Islamic financial inclusion determinants in Indonesia: an ANP approach

2020 ◽  
Vol 13 (4) ◽  
pp. 727-747
Author(s):  
Mohammad Mahbubi Ali ◽  
Abrista Devi ◽  
Hafas Furqani ◽  
Hamzah Hamzah
Keyword(s):  
Financial Literacy ◽  
Religious Commitment ◽  
Analytic Network Process ◽  
Financial Inclusion ◽  
Socioeconomic Factor ◽  
Content Type ◽  
Insurance Sector ◽  
Expert Opinions ◽  
Network Process ◽  
Level Of Significance

Purpose This study aims to uncover the determinants of Islamic financial inclusion in Indonesia. Design/methodology/approach This study uses the analytic network process (ANP) to gather expert opinions and responses from academics, regulators and practitioners. Findings The ANP analysis discovered that the level of Islamic financial inclusion in Indonesia is influenced by two main drivers: the supply and the demand. The demand factors for Islamic financial inclusion, ranked based on their level of significance, are as follows: financial literacy (0.27), religious commitment (0.22), socioeconomic factor (0.19) and social influence (0.17), respectively. From the supply side, primary catalysts for Islamic financial inclusion based on their level of importance are human capital (0.32), product and services (0.24), infrastructure (0.18) and policies and regulation (0.17), respectively. Research limitations/implications The present study does not include the Islamic insurance sector in its determinant framework of Islamic financial inclusion in Indonesia. Practical implications This study serves as a reference for regulators in formulating appropriate policy strategies to strengthen the Islamic financial inclusion in Indonesia. Originality/value This study is a pioneer attempt to identify distinctive factors that influence the level of Islamic financial inclusion in Indonesia by analyzing expert opinions from diverse groups of Islamic finance stakeholders.

Applying ANP to analyse sensory experience in restaurants

2019 ◽  
Vol 122 (1) ◽  
pp. 122-135
Author(s):  
Wei-Lun Chang
Keyword(s):  
Design Methodology ◽  
Analytic Network Process ◽  
Sensory Experience ◽  
Relative Importance ◽  
Critical Factors ◽  
Content Type ◽  
Expert Opinions ◽  
Sensory Experiences ◽  
Network Process ◽  
Taste And Smell

Purpose The purpose of this paper is to explore the relative importance of the five types of sensory experience in restaurants and the differences between experts and customers. Design/methodology/approach Analytic network process was used to select the critical factors for the five types of sensory experiences. Expert and consumer questionnaires were compared to examine the differences between expert opinions and customer awareness. Findings Restaurants consider taste and smell to be important senses, whereas hearing was considered to be the least important. Originality/value Experts paid more attention to criteria and sub-criteria that resonated with consumers’ memories and emotions. Consumers paid more attention to intuitively obtaining emotional experiences during each purchase.

Unlocking causal relations of barriers to big data analytics in manufacturing firms

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rakesh Raut ◽  
Vaibhav Narwane ◽  
Sachin Kumar Mangla ◽  
Vinay Surendra Yadav ◽  
Balkrishna Eknath Narkhede ◽  
...  
Keyword(s):  
Big Data ◽  
Data Storage ◽  
Data Analytics ◽  
Service Providers ◽  
Big Data Analytics ◽  
Analytic Network Process ◽  
Manufacturing Firms ◽  
Content Type ◽  
Expert Opinions ◽  
Network Process

PurposeThis study initially aims to identify the barriers to the big data analytics (BDA) initiative and further evaluates the barriers for knowing their interrelations and priority in improving the performance of manufacturing firms.Design/methodology/approachA total of 15 barriers to BDA adoption were identified through literature review and expert opinions. Data were collected from three types of industries: automotive, machine tools and electronics manufacturers in India. The grey-decision-making trial and evaluation laboratory (DEMATEL) method was employed to explore the cause–effect relationship amongst barriers. Further, the barrier's influences were outranked and cross-validated through analytic network process (ANP).FindingsThe results showed that “lack of data storage facility”, “lack of IT infrastructure”, “lack of organisational strategy” and “uncertain about benefits and long terms usage” were most common barriers to adopt BDA practices in all three industries.Practical implicationsThe findings of the study can assist service providers, industrial managers and government organisations in understanding the barriers and subsequently evaluating interrelationships and ranks of barriers in the successful adoption of BDA in a manufacturing organisation context.Originality/valueThe paper is one of the initial efforts in evaluating the barriers to BDA in improving the performance of manufacturing firms in India.

Schedule and cost overrun analysis for R&D projects using ANP and system dynamics

2017 ◽  
Vol 34 (9) ◽  
pp. 1551-1567 ◽  
Author(s):  
Sandeep Kumar ◽  
J.J. Thakkar
Keyword(s):  
System Dynamics ◽  
Risk Mitigation ◽  
Analytic Network Process ◽  
Raw Material ◽  
Design Stage ◽  
Economic Factors ◽  
Cost Overrun ◽  
Individual Factor ◽  
Content Type ◽  
Network Process

Purpose Schedule and cost overrun analysis for a typical research & development (R&D) project is necessary to identify and mitigate the non-feasible alternatives at the design stage. Typically, this should include an analysis of technological and economic factors of R&D project. This paper aims to discuss these issues. Design/methodology/approach This research proposes an integrated analytic network process (ANP) and reusable system dynamics (SD) model for a quick and strategically consistent decision making. The technological and economic factors of R&D project were first identified and compiled through a systematic literature review. An ANP model was first developed for calculating Risk Priority Index (RPI) for set of technological and economic factors. The computed RPI are considered as an input to SD models. Two SD models (technological and economic) are developed to undertake a detailed investigation on effect of individual factor on schedule and cost overrun. The approach is exemplified for a case of government R&D project in India. Findings ANP identifies “Testing & qualification facility” and “Raw material availability” as the highest RPI factors. A detailed sensitivity analysis of SD models suggests that technological factors such as “Design Changes,” “Hidden Activities,” and “Lack of Expertise” and economic factors such as “Project delays,” “Unexpected incidents” and “Conflicts” have the highest influence on schedule and cost overrun. Practical implications The outcomes of this research can help managers to estimate the severity of various technological and economic factors on cost and schedule overrun and develop an adequate risk mitigation contingency plan. Originality/value In case of R&D projects where systems are being developed for the first time, changes are inevitable, and hence schedule and cost management plays a very important role in its success. This paper proposes an integrated reusable approach of ANP and SD for analyzing the influence of technological and economic factors on schedule and cost overrun of R&D project.

Modeling brand resonance score (BRS) – an application in financial services

2018 ◽  
Vol 13 (1) ◽  
pp. 119-136 ◽  
Author(s):  
Ande Raja Ambedkar ◽  
Punniyamoorthy Murugesan ◽  
N. Thamaraiselvan
Keyword(s):  
Mutual Fund ◽  
Financial Services ◽  
Structural Equation ◽  
Analytic Network Process ◽  
Equation Modeling ◽  
Service Firms ◽  
Content Type ◽  
Fund Managers ◽  
Network Process ◽  
Brand Resonance

Purpose The experts in industry and academicians value brand resonance is the prerequisite factor in the firms of financial services. In this regard, the purpose of this paper is to model the brand resonance score (BRS) for modified customer-based brand equity (CBBE) model in mutual fund financial services using structural equation modeling (SEM) and analytic network process (ANP). Design/methodology/approach Criteria and sub-criteria relative weights are calculated from the SEM and sub-sub-criteria relative weights are measured through pair-wise comparison matrix for BRS modeling using ANP approach. Findings The brand resonance using ANP has been quantified, and BRSs of each brand through brand judgments and brand feelings criteria are calculated using two renowned Indian mutual fund services brands State Bank of India and Hong Kong and Shanghai Banking Corporation. Research limitations/implications Interdependency between sub-criteria are not explored. This research study is specific to Indian bank mutual fund services context. Practical implications Research findings provide useful guidelines for fund managers/analysts of mutual fund service firms to improve the brand resonance to investors. Originality/value The paper explained modeling BRS using ANP technique which helps organizations quantify the brand resonance effectively.

An analytic network process model for hospital facilities management performance evaluation

Facilities ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Joseph H.K. Lai ◽  
Huiying (Cynthia) Hou ◽  
David J. Edwards ◽  
P.L. Yuen
Keyword(s):  
Performance Evaluation ◽  
Performance Indicators ◽  
Process Model ◽  
Evaluation Model ◽  
Analytic Network Process ◽  
Facilities Management ◽  
Focus Group Study ◽  
Content Type ◽  
Network Process

Purpose This study aims to establish a rigorous model that can pragmatically evaluate the facilities management (FM) performance of hospitals. Design/methodology/approach Among the applicable performance indicators that were identified from extant literature, a focus group study shortlisted ten key performance indicators (KPIs) in four categories (safety, physical, financial and environmental) and verified their practicality. Using the analytic network process (ANP) method to process the focus group’s responses yielded importance weightings for the KPIs and developed the intended evaluation model. This model was then validated by a case study. Findings From the empirical data collected, two types of FM performance data and two scenarios of KPI scores were identified. To process these data and scores, a robust calculation method was devised and then proved useful in obtaining an overall score for holistic hospital FM performance. The case study confirmed the appropriateness and validity of the model developed. Research limitations/implications Through illustrating how the ANP method could be applied to develop an FM performance evaluation model, the study contributes knowledge to the multi-criteria decision-making domain. Despite the geographical limitation of the model established (i.e. centered around a group of hospitals investigated in Hong Kong), the study can serve as a reference for developing performance evaluation models for other buildings or infrastructures globally. Practical implications The model constitutes a practical tool for evaluating the FM performance of hospitals. Using this model on a regular basis will enable performance benchmarking and hence, continuous improvement of FM services. Originality/value The ANP model established is the first of its kind tailored for evaluation of hospital FM performance.

Prioritizing the vaccine supply chain issues of developing countries using an integrated ISM-fuzzy ANP framework

2019 ◽  
Vol 15 (1) ◽  
pp. 112-165 ◽  
Author(s):  
Dheeraj Chandra ◽  
Dinesh Kumar
Keyword(s):  
Developing Countries ◽  
Supply Chain ◽  
Relevant Literature ◽  
Analytic Network Process ◽  
Decision Makers ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Vaccination Programs ◽  
Network Process ◽  
Key Issues

Purpose Delivering vaccines to the children who need them requires a supply chain that is efficient and effective. In most of the developing countries, however, the unknown and unresolved supply chain issues are causing inefficiencies in distributing vaccines. There is, therefore, a great need in such countries to recognize the issues that cause delays in vaccine delivery. With this purpose, the present study aims to identify and analyze the key issues in the supply chain of basic vaccines required to immunize children in developing countries. Design/methodology/approach Based on a field survey of three states of India, in-depth review of relevant literature and experts’ opinions, 25 key issues were recognized as factors of the vaccine supply chain (VSC) and categorized into five main domains. Using integrated interpretive structural modeling and fuzzy analytic network process approaches, the issues have been prioritized to determine their relative importance in the VSC. In addition, a sensitivity analysis has been performed to investigate the priority stability of the issues. Findings The results of the analysis show that among the five domains of VSC issues, the economic domain with a weight of 0.4262 is the most important domain, followed by the management (0.2672), operational (0.2222), environmental (0.0532) and social (0.0312). Research limitations/implications This study focuses on the prioritization of VSC issues; therefore, the results of the present study can provide direction to the decision-makers of immunization programs of developing countries in driving their efforts and resources on eliminating the most important obstacles to design successful vaccination programs. Originality/value To the authors’ knowledge, this paper is first to provide a direction to the decision-makers in identifying and managing important issues through the use of an analytical approach.

Employing fuzzy ANP for ranking the personality of international brands in the sports shoe industry

2018 ◽  
Vol 13 (1) ◽  
pp. 137-155 ◽  
Author(s):  
Javad Khazaei Pool ◽  
S. Mohammad Arabzad ◽  
Sobhan Asian ◽  
Milad Fahimi ◽  
Reza Verij Kazemi
Keyword(s):  
Decision Making ◽  
Academic Research ◽  
Evaluation Criteria ◽  
Analytic Network Process ◽  
Competitive Advantages ◽  
Content Type ◽  
Shoe Industry ◽  
Sport Shoe ◽  
Network Process ◽  
Quantitative Basis

Purpose This paper aims to provide a quantitative basis to analytically determine the ranking of the brand personality of Adidas, Asics, Nike, Puma and Saucony brands among Iranian customers via a conventional multi-criteria decision-making (MCDM) method. Design/methodology/approach Data for determining the importance of evaluation criteria and ranking of brands are gathered by means of distributing questionnaires among a group of Iranian customers of sport shoes, as well as some industrial experts. The fuzzy analytic network process (FANP) was used to rank the brands with regard to dependencies between criteria and alternatives. Findings The results indicate that FANP is a capable method which provides invaluable insights for strategic marketing decisions in the sport product industry. Results show Adidas has the best performance in the sports shoe market compared to the other four brands. In this study, it was found that expertise sophistication was the most important criterion among Aaker’s five main criteria. Originality/value The value of this paper is applying FANP decision-making method for ranking sport shoe brands. This method has not been commonly used in the area of marketing, hence it is added to the pool of techniques used in ranking brands. In addition, evaluation and ranking of brands can be very useful for both academic research and practice. Researchers can benchmark the competences of each brand through evaluating them, and industrialists can extract the competitive advantages of the selected brands.

The distribution strategy selection for an e-tailer using a hybrid DANP VIKOR MCDM model

2019 ◽  
Vol 26 (2) ◽  
pp. 395-433 ◽  
Author(s):  
Rohit Titiyal ◽  
Sujoy Bhattacharya ◽  
Jitesh J. Thakkar
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Major Influence ◽  
Strategy Selection ◽  
Vikor Method ◽  
Content Type ◽  
Distribution Strategy ◽  
Network Process ◽  
Decision Making Framework ◽  
External Characteristics

Purpose The purpose of this paper is to apply a multi-criteria decision-making (MCDM) framework to evaluate distribution strategies for an e-tailer. An application of MCDM method, the hybrid DANP–VIseKriterijumska Optimizacija I Kompromisno Resenje (VIKOR) model, is used for e-tailers’ distribution strategy evaluation. The choice of distribution strategies under various dimensions is evaluated. Design/methodology/approach The authors used a hybrid MCDM model to solve the decision-making framework, which combines Decision-Making Trial and Evaluation Laboratory (DEMATEL), DEMATEL-based analytic network process and VIKOR method. Data were collected from the experts (e-tail manager, logistics manager, operations manager and distribution center (DC) manager) using two questionnaires, first for the influential relationship among the criteria and dimensions and second for a performance rating of each alternative (distribution strategies) against each criterion. Findings DANP with VIKOR method prioritizes the distribution strategies in the following order: DC shipment, drop shipment, click and collect, store shipment and click and reserve. Performance gap was calculated based on the VIKOR method to provide distribution strategies to an e-tailer under different situations. The authors infer that in developing country, product characteristics and transportation have a major influence on deciding the distribution strategy. Practical implications Decision-making framework will provide e-tail mangers a knowledge-based understanding to select the distribution strategy under the different situations related to the performance, product, e-tailer and external characteristics for smooth order fulfillment process. The insights developed by this research provide a framework for rational decision making in distribution strategy selection in e-business. Originality/value This is the first kind of a study which offers a decision framework for e-tail managers on how to choose distribution strategies under different situations which are related to the performance, product, e-tailer and external characteristics.

scholarly journals A Markovian-QFD approach in addressing the changing priorities of the customer needs

2016 ◽  
Vol 33 (8) ◽  
pp. 1062-1075 ◽  
Author(s):  
Mehdi Rajabi Asadabadi
Keyword(s):  
Markov Chain ◽  
Markov Chains ◽  
Quality Function Deployment ◽  
Analytic Network Process ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Customer Needs ◽  
Customer Preferences ◽  
Network Process ◽  
Qfd Method

PurposeThe purpose of this paper is to introduce a solution to the problem of changing priorities of customer needs (CNs) in quality function deployment (QFD). Customer preferences and priorities are not very stable and they may change before products are ready for the market. Therefore, finding CNs accurately is a key to reach a higher level of customer satisfaction through improving products. Design/methodology/approachIn the proposed model, a Markov chain is employed to model the changing priorities of CNs. The Markov chain finds a pattern of future CNs, the main inputs of QFD. The QFD method is applied to translate CNs into product requirements (PRs). The analytic network process (ANP) is attached to QFD to ensure that all the relations among the elements, inner and outer, are taken into consideration during the translation process. Thus, CNs are received and adjusted by a Markov chain. FindingsThe application of Markov chains for an ANP-QFD model develops an adequate method of finding a pattern of changing priorities of CNs. This pattern enables the ANP-QFD method to work independent of the initial CNs, and originates a Markovain ANP-QFD. Originality/valueThis study originates a stochastic ANP-QFD model. There have been several papers employing various tools and techniques such as the ANP or analytic hierarchy process for QFD to find accurate relations between PRs and CNs. While there are a few papers applying Markov chains to predict the future of the relations of QFD, there is no study which traces the changes in priorities of the CNs during the improvement process. This is addressed by applying a Markovian ANP-QFD. The model is validated through a case study.

An analytic network process (ANP) model to examine LEED-certified buildings’ operational performance

2017 ◽  
Vol 7 (4) ◽  
pp. 366-376 ◽  
Author(s):  
Gulbin Ozcan Deniz
Keyword(s):  
Life Cycle ◽  
Analytic Network Process ◽  
Economic Life ◽  
The Body ◽  
Assessment Model ◽  
Operational Performance ◽  
Building Performance ◽  
Extensive Literature ◽  
Content Type ◽  
Network Process

Purpose The purpose of this paper is to create and present a Leadership in Energy and Environmental Design New Construction (LEED NC) building performance assessment model that will identify and prioritize external parameters affecting a LEED-certified building’s operational performance. Design/methodology/approach The uncertainty associated with external parameters affecting a LEED-certified building’s operational performance is examined through the use of analytic network process (ANP). An ANP model is created based on the extensive literature research and experiences of professionals in the green building industry. Eight case studies are analyzed, and data collected through interviews with experts are utilized in prioritizing external parameters affecting buildings’ operational performance. Findings The findings show that the most important external parameters affecting a LEED-certified building’s operational performance are lack of enhanced commissioning, lack of life cycle assessment/life cycle costing analysis, lack of energy modeling, and lack of knowledge in green technology. The results demonstrate that both asset value and profit, as well as the economic life of the facility, are mostly affected by the energy efficiency of the building, and consequently LEED NC energy and atmosphere category. Originality/value This research contributes to the body of knowledge on green architecture by defining and prioritizing external parameters and their relationships to operational building performance in LEED NC projects. The proposed model can be used by construction managers and facility managers to operate LEED-certified buildings better and reduce environmental impacts throughout the functional life cycle of the building.

Sign in / Sign up

Export Citation Format

Share Document