scholarly journals Convenience store locations prioritization: a fuzzy TOPSIS-GRA hybrid approach

2020 ◽  
Vol 2 (4) ◽  
pp. 281-302
Author(s):  
Jyotdeep Singh ◽  
Parnika Tyagi ◽  
Girish Kumar ◽  
Saurabh Agrawal
Keyword(s):  
Fuzzy Ahp ◽  
Geographical Area ◽  
Hybrid Approach ◽  
Fuzzy Topsis ◽  
Population Characteristics ◽  
Convenience Store ◽  
Large Sample Size ◽  
National Capital Region ◽  
Content Type ◽  
National Capital

PurposeThe objective of the study is to develop a methodology to strategically rank store locations using criteria such as population, store site characteristics, economic considerations, competition and so on to select the most optimal retail convenience store location.Design/methodology/approachA case of National Capital Region, India, for a 24-h convenience store was considered for the study and the major criteria that affect the performance of a convenience store are identified, such as population characteristics, economic criteria, competition, consumer accessibility, store size, total cost, site attractiveness and security. Fuzzy AHP is utilized to find the weightage for each criteria and a combination of fuzzy TOPSIS and grey relational analysis (GRA) is applied to rank the alternative using these criteria weight. Further, results obtained are compared with results from fuzzy TOPSIS and fuzzy VIKOR methods. Sensitivity analysis is also performed for ensuring the robustness of the framework.FindingsIt is observed that outcomes do not change under various settling coefficient values, demonstrating that the methodology is very robust. The developed framework will be quite useful to diverse retailers looking to expand and generate substantial profits.Research limitations/implicationsA large sample size of number of locations encourages generalization of results. Strategic ranking of the selected locations is carried out on a few selected criteria. The study was limited by the designated geographical area.Originality/valueThe study contributes to the few available articles on convenience store selection using combination of fuzzy AHP, fuzzy TOPSIS and GRA for a developing country.

The pathology of housing policies in Iran: a criterion-based analysis

2019 ◽  
Vol 13 (3) ◽  
pp. 453-473 ◽  
Author(s):  
Moslem Zarghamfard ◽  
Abolfazl Meshkini ◽  
Ahmad Pourahmad ◽  
Beniamino Murgante
Keyword(s):  
Housing Policy ◽  
Social Stratification ◽  
Qualitative Method ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Critical Perspective ◽  
Housing Policies ◽  
Human Welfare ◽  
Content Type ◽  
Comprehensive Study

Purpose Housing policy is a key tool in urban development and has multiple functions that directly affect human welfare. This study aims to review housing policies in Iran from a critical perspective. In fact, the study and pathology of housing policies are considered in this research. Design/methodology/approach To advance this research, a quantitative (fuzzy TOPSIS and fuzzy AHP) method was used to rank the policies and the qualitative method (interview and literature review) was used for the pathology of housing policies. Findings The failure of policies to provide housing in Iran is decisive, but social housing policy has a relative superiority to other policies. Causes of failure of Iranian housing policies are as follows in a pathological perspective: commodification and speculative approach to housing; lake of social and physical sustainability; social stratification and classification; inconsistency with environmental conditions; non-indigenous nature of housing policies; exclusion of local institutions in the decision-making process; and the dominance of a populist perspective on housing. Originality/value This study is a comprehensive study because it has been extracted from the dissertation. By reading this study, the reader will be aware of the general conditions of the Iranian housing sector.

Assessing the feasibility of blockchain technology in industries: evidence from Turkey

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ismail Erol ◽  
Ilker Murat Ar ◽  
Ali Ihsan Ozdemir ◽  
Iskender Peker ◽  
Ali Asgary ◽  
...  
Keyword(s):  
Supply Chain ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Decision Makers ◽  
Content Type ◽  
Blockchain Technology ◽  
Consulting Firms ◽  
Utmost Care ◽  
The Right ◽  
Agriculture And Food

PurposeThe objective of this study is to assess quantitatively how feasible blockchain is for various industries, such as logistics and supply chain, health, energy, finance, automotive, pharmaceutical and agriculture and food using a comprehensive list of indicators.Design/methodology/approachA decision aid was applied to the problem of identifying the feasibility of blockchain in Turkish industries. To this end, first, a set of indicators was identified. Then, the fuzzy AHP and fuzzy TOPSIS were utilized to assess the feasibility comparatively using the data gathered from a group of experts. Finally, a scenario analysis was conducted to ensure the consistency of our evaluation.FindingsThe findings of this study suggest that comparatively, logistics and supply chain, finance and health industries are the most feasible industries for blockchain. This study further suggests that blockchain is the least feasible for the automotive industry compared to the rest of the identified industries.Research limitations/implicationsIt is cumbersome to find out the respondents who have sufficient knowledge of both blockchain and the identified industries. Even if we took the utmost care in identifying the right respondents, we limited our search to the biggest industrial hubs of Turkey.Practical implicationsThe findings of this research may help various decision-makers employed in governments, conglomerates, software and consulting firms and national research institutions make more informed decisions and allocate their resources more effectively.Originality/valueTo this date, the current studies have solely investigated possible research opportunities in blockchain and demonstrated several blockchain applications in stand-alone cases. To the best of our knowledge, however, no single study exists that evaluates the feasibility of blockchain comparatively and holistically among a group of industries using various indicators.

Evaluating hotel websites through the use of fuzzy AHP and fuzzy TOPSIS

2020 ◽  
Vol 13 (12) ◽  
pp. 3747-3765
Author(s):  
Rahmi Baki
Keyword(s):  
Information Quality ◽  
Fuzzy Ahp ◽  
Fuzzy Topsis ◽  
Step Method ◽  
Analytic Hierarchy ◽  
Website Evaluation ◽  
Content Type ◽  
Ideal Situation ◽  
Order Preference ◽  
Hotel Websites

Purpose The purpose of this study is to develop a useful, effective and comprehensive approach to facilitate the evaluation of hotel websites. Design/methodology/approach The paper examines the literature evaluating e-commerce sites, particularly that is focused on hotel, tourism and travel. Moreover, 5 criteria and 19 sub-criteria are identified, and a two-step method is proposed for the assessment of hotel websites whereby the global weights of the proposed criteria are determined by the fuzzy analytic hierarchy process, and hotel websites are ranked through the fuzzy technique for order preference by similarity to ideal situation. Findings The results show that the leading criteria to effectively evaluate hotel websites are trust and information quality and that the most important sub-criteria are special discounts, assurance and reservation information. Practical implications This research offers practical advice to increase understanding of the determinants of an effective hotel website so that appropriate strategies can be developed to convert a website visitor into a customer. Originality/value The study aims to contribute to businesses operating in the tourism sector which seeks to increase the effectiveness of their websites by identifying criteria and proposing a methodology for hotel website evaluation.

An integrated supplier selection approach incorporating decision maker’s risk attitude using ANN, AHP and TOPSIS methods

Kybernetes ◽  
2019 ◽  
Vol 49 (9) ◽  
pp. 2263-2284 ◽  
Author(s):  
Chunxia Yu ◽  
Zhiqin Zou ◽  
Yifan Shao ◽  
Fengli Zhang
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Fuzzy Ahp ◽  
Evaluation Criteria ◽  
Risk Attitude ◽  
Integrated Approach ◽  
Fuzzy Topsis ◽  
Ann Model ◽  
Content Type ◽  
Selection Approach

Purpose The purpose of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the artificial neural network (ANN), analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS) methods. Design/methodology/approach In the proposed approach, the ANN model is used to classify decision maker’s risk attitude; the fuzzy AHP method is used to determine the relative weights of evaluation criteria; and the fuzzy TOPSIS method is used to evaluate ratings of suppliers. Finally, experiments are conducted to verify the feasibility and efficiency of the proposed integrated approach. Findings Experiments results show that the proposed integrated approach is effective and efficient to help decision makers to select suitable suppliers according to their risk attitudes. Originality/value The aim of this paper is to develop a novel integrated supplier selection approach incorporating decision maker’s risk attitude using the ANN, AHP and TOPSIS methods. The decision maker’s risk attitude toward procurement transaction is originally considered in supplier selection process.

Collection development of electronic resources in management libraries of India

2016 ◽  
Vol 35 (3) ◽  
pp. 73-83 ◽  
Author(s):  
Manpreet Kaur ◽  
Paramjeet Kaur Walia
Keyword(s):  
Collection Development ◽  
National Capital Region ◽  
Electronic Resource ◽  
Content Type ◽  
National Capital ◽  
Significant Research ◽  
Resource Collection ◽  
Information Professionals ◽  
Management Institutions ◽  
Selection Of

Purpose The main purpose of this paper is to examine the current practices related to e-resource collection development in management libraries of India with special reference to the National Capital Region (NCR) of Delhi with some constructive suggestions for improvement in this area. Design/methodology/approach A well-structured questionnaire was administered to the librarians of the nine management libraries under study. Findings The management libraries are actively involved in building e-resource collection. The budget allocation for purchase of e-resources has increased progressively over the years in majority of the libraries. The factors that, to a great extent, affect selection of e-resources include quality, subject coverage, license agreements and vendor support. The study found that libraries associated with management institutions such as ABS, DMS-IITD, FMS, BIMECH and FSM need to add more management-related databases. Research limitations/implications The paper restricts the study exclusively to e-resources as the type of material and the librarians of nine major management institutions of NCR of Delhi as the respondents in its scope of discussion. Practical implications The study is of great importance to information professionals of similar management institutions in India. The recommendations made could also help solve some of the challenges that are being faced. Originality/value Very little is known about the electronic resource collection development practices followed in management institutes’ libraries of India owing to lack of significant research undertaken on the topic. This study is, therefore, significant because its findings fill up the existing knowledge gap in this area.

Awareness and willingness towards Islamic banking among Muslims: An Indian perspective

2017 ◽  
Vol 10 (1) ◽  
pp. 92-101 ◽  
Author(s):  
Jamid Ul Islam ◽  
Zillur Rahman
Keyword(s):  
Islamic Banking ◽  
National Capital Region ◽  
Informative Advertising ◽  
Muslim Population ◽  
Content Type ◽  
National Capital ◽  
Research Gap ◽  
First Time ◽  
Potential Customers ◽  
Indian Perspective

Purpose This study aims to explore the awareness and willingness of Muslim Indians toward Islamic banking. Subsequent to financial crises during the past few decades, Islamic banking has attained global acceptance and has gained a momentum in emerging economies as a substitute for the conventional (interest-based) banking. As India ranks third in terms of Muslim population globally, it is quite spontaneous to analyze the concept of Islamic banking in an Indian perspective. Design/methodology/approach To collect data, adopting purposive sampling, a sample of 290 Indian Muslims was surveyed in Delhi National Capital Region of India using a self-structured questionnaire. Appropriate statistical tools were applied to analyze the data. Findings The results concede that majority of the respondents lack an understanding of how Islamic banking works. The results further concede that majority of the respondents are willing to go for Islamic banking if informed properly and offered better customer experience. The results suggest that Islamic banking organizations need to frame effective communication strategies to increase awareness among the populace about how Islamic banking operates. Practical implications If approached strategically, one would expect India to be a huge market for Islamic banking. By offering a preliminary understanding about the awareness and willingness of Indian Muslims, this study can prove helpful for organizations to design and deliver informative advertising campaigns to inform potential customers about Islamic banking operations and to ensure the ability to provide efficient service before starting the operations in any country for the first time. Originality/value By exploring the awareness and willingness of Indian Muslims, the current study takes an important research gap into account and, therefore, enriches the existing Islamic banking literature.

A fuzzy MCDM algorithm and practical decision aid tool to determine the best ROV design alternative

Kybernetes ◽  
2015 ◽  
Vol 44 (4) ◽  
pp. 623-645 ◽  
Author(s):  
Birol Ülker
Keyword(s):  
Sensitivity Analysis ◽  
Decision Process ◽  
Decision Aid ◽  
Fuzzy Ahp ◽  
Real Life ◽  
Fuzzy Topsis ◽  
Manufacturing Companies ◽  
Remotely Operated Vehicle ◽  
Content Type ◽  
Design Alternative

Purpose – Proposing a fuzzy multi-criteria decision making (MCDM) algorithm that is able to incorporate the heterogeneousness effect of DM group into the decision process, in order to determine the best remotely operated vehicle (ROV) design alternative to manufacture and developing a practical decision aid tool based on this algorithm. The paper aims to discuss these issues. Design/methodology/approach – An algorithm utilizes fuzzy AHP Buckley’s approach for modeling heterogeneousness of the DM group, fuzzy AHP Chang’s extent analysis to calculate the priority values of criteria and Chen’s fuzzy TOPSIS for ranking the alternatives and finally group working technique for initiation issues is developed. MATLAB is used to implement the algorithm and generate a decision aid tool. Real life application and sensitivity analysis is performed by the help of generated tool. Literature and background explanations are also provided. Findings – A MCDM algorithm that incorporates the heterogeneousness effect of the DM group into the decision process is introduced. Sensitivity analysis suggested the independence of the final result from DM group and criteria set. A practical decision aid tool is generated for ROV manufacturing companies. Practical implications – A computerized MCDM aid tool that incorporates heterogeneousness of the DM group into the decision process is generated. Tool let ROV manufacturing companies to evaluate ROV design alternatives with respect to qualitative and quantitative criteria and determine proper choice. Originality/value – Determination of the proper ROV design alternative to manufacture gap within the literature filled with an algorithm that provides more reliable results due to its incorporation the heterogeneousness of the DM group into the decision process characteristic. A practical decision aid tool is generated.

scholarly journals A Hybrid Approach Based on Fuzzy TOPSIS-AHP for Ranking and Classifying MOOC Key Acceptance Factors

2021 ◽  
Vol 16 (5) ◽  
pp. 1-20
Author(s):  
Neeraj Chopra ◽  
Rajiv Sindwani ◽  
Manisha Goel
Keyword(s):  
Fuzzy Ahp ◽  
Hybrid Approach ◽  
Multiple Criteria Decision Making ◽  
Fuzzy Topsis ◽  
Online Course ◽  
Effective Management ◽  
Massive Open Online Course ◽  
Topsis Approach ◽  
Indian Perspective ◽  
Acceptance Factors

This investigation is done during COVID-19 to identify, rank, and classify MOOC (massive open online course) key acceptance factors (KAFs) from an Indian perspective. A systematic literature review identifies 11 KAFs of MOOC. One more novel factor named ‘contingent instructor' is proposed by the authors considering pandemic and new normal post-COVID-19. The paper implements two popular fuzzy MCDM (multiple-criteria decision-making) techniques, namely fuzzy TOPSIS and fuzzy AHP, on 12 KAFs. The fuzzy TOPSIS approach is used to rank factors. Affordability, performance expectancy and digital didactics are found as the top three KAFs. Fuzzy AHP classified KAFs into three groups, namely high, moderate, and low influential. Examination of the literature indicates that this study is among the first attempt to prioritize and classify MOOC KAFs using fuzzy TOPSIS and fuzzy AHP approach. The results offer managerial guidance to stakeholders for effective management of MOOC, resulting in higher acceptance rate. Likewise, this investigation will upgrade the comprehension of MOOC KAFs among academicians.

scholarly journals Relationship Between Various Determinants and Dimensions of Financial Literacy Among Working Class

2020 ◽  
Vol 11 (5) ◽  
pp. 319
Author(s):  
Khujan Singh ◽  
Poonam Rani ◽  
Chand Kiran
Keyword(s):  
Factor Analysis ◽  
Working Class ◽  
Financial Literacy ◽  
Geographical Area ◽  
Financial Knowledge ◽  
National Capital Region ◽  
Capital Region ◽  
Significant Difference ◽  
National Capital ◽  
Financial Behaviour

The purpose of this empirical research work was to identify the relationship between various determinants of Financial Literacy among the working class of National Capital Region of India. It was a descriptive study based on the survey of 596 working class respondents. The data has been analyzed by factor analysis, correlation and regressions analysis. Based on the factor analysis, three factors have been found of financial knowledge, three factors of financial behaviour and in a similar manner four factors of financial attitude have been extracted. Further, based on the multiple regression models the contribution of financial attitude has been found highest in explaining the financial literacy and it has been followed by financial behaviour and financial knowledge. It means that both financial attitude and financial behaviour are better estimators of financial literacy in comparison to the financial knowledge. Therefore, the policy makers, financial system regulators and governments should do more efforts to improve the level of financial attitude and financial behaviour in comparison to the financial knowledge to improve the level of financial literacy because significant difference has been found in the level of financial attitude and financial behaviour across some of the demographic factors. The increased financial literacy would be helpful in improving the saving and investment behaviour of the public. This improved level of financial literacy of public will save the required level of capital for the capital formation for the targeted economic growth. Consequently, more employment opportunities will increase the social security in the society. Like every study, this study also have certain limitations like the universe of the study was limited to a particular geographical region i.e. National Capital Region of India, along with time and money constraints. In future similar study can be conducted by changing the target population and geographical area with a bigger sample.

Innovation orientation and its relationship with business performance: moderating role of firm size

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rayees Farooq ◽  
Sandeep Vij ◽  
Jaspreet Kaur
Keyword(s):  
Firm Size ◽  
Structural Equation ◽  
Business Performance ◽  
Equation Modeling ◽  
National Capital Region ◽  
Confirmatory Factor Analyses ◽  
Content Type ◽  
National Capital ◽  
Managerial Level ◽  
The Relationship

Purpose The study aims to test the relationship between innovation orientation (INO) and business performance. It also explores the moderating effect of firm size on the relationship between INO and business performance. Design/methodology/approach A purposive sample of 278 firms (manufacturing and service) was taken from the National Capital Region and the Punjab state of India. The survey questionnaire was administered to two to three managerial-level employees from each of the 278 firms. Exploratory and confirmatory factor analyses were used to validate the INO and business performance scales. The hypotheses were tested using multi-group moderation analysis and structural equation modeling. Findings The study shows that INO has a significant positive effect on business performance. The results have indicated that firm size (based on the number of employees) moderates the relationship between INO and business performance. However, firm size (based on investment) does not moderate the relationship between INO and business performance. Originality/value The study is an attempt to synthesize the fragmented results testing innovation–performance relationship using firm size as a moderator on the relationship between INO and business performance and provides insights for both academicians and practitioners.

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