“WHAT’S FOREIGN IS BETTER”: A FUZZY AHP ANALYSIS TO EVALUATE FACTORS THAT INFLUENCE FOREIGN PRODUCT CHOICE AMONG INDIAN CONSUMERS

2020 ◽  
Vol 12 (3) ◽  
Author(s):  
Amanish Lohan ◽  
Anirban Ganguly ◽  
Chitresh Kumar
Keyword(s):  
Fuzzy Ahp ◽  
Perceived Quality ◽  
Technological Advancement ◽  
Purchasing Behavior ◽  
Analytic Hierarchy ◽  
Foreign Product ◽  
Product Categories ◽  
Home Appliances ◽  
Indian Consumers ◽  
Foreign Brands

Emerging economies across the globe have observed drastic changes in consumer purchasing behavior in the last three decades. This has been attributed to rapid globalization, coupled with technological advancement that has led to consumer affinity towards foreign brands. In this paper an attempt has been made to understand this affinity towards foreign brands across product categories. We used the Fuzzy Analytic Hierarchy Process to evaluate the factors that influence foreign product purchasing behavior among Indian consumers. A set of five important influencing factors were identified and responses from over 100 Indian consumers were collected across five product categories (automobiles, home appliances, apparel, cosmetics and watches). It was found that for apparel, watches and cosmetics, perceived quality of the brand/product was the most valued attribute. Whereas, for home appliances the country of origin mattered the most, and for watches perceived quality as well as country of manufacture were equally important. The findings of this study will help shape marketing strategies for foreign brands trying to make inroads or gain market share in emerging markets like India

scholarly journals An Extended GRA Method Integrated with Fuzzy AHP to Construct a Multidimensional Index for Ranking Overall Energy Sustainability Performances

2020 ◽  
Vol 12 (4) ◽  
pp. 1602 ◽  
Author(s):  
Koray Altintas ◽  
Ozalp Vayvay ◽  
Sinan Apak ◽  
Emine Cobanoglu
Keyword(s):  
Fuzzy Ahp ◽  
Composite Index ◽  
Multicriteria Decision Making ◽  
Complex Nature ◽  
Technological Advancement ◽  
Energy Sustainability ◽  
Analytic Hierarchy ◽  
Related Services ◽  
Criteria Weights ◽  
National Governments

In an age of rapid technological advancement, the increasing need for energy and its related services to satisfy economic and social development has become a critical concern of national governments worldwide. This has triggered researchers to work on metrics for tracking and tracing energy sustainability in order to provide monitoring mechanisms for policy makers. In this regard, multicriteria decision-making (MCDM) methods are becoming more popular to deal with the multidimensional and complex nature of sustainability. We have proposed an extended and revised version of the grey relational analysis (GRA) method, which is integrated with the fuzzy analytic hierarchy process (AHP), to develop a new composite index for comparing the overall energy sustainability performances of 35 OECD member countries. Our case study revealed the performances of selected countries by providing their strengths and weaknesses based on determined criteria as well as the level of change in performances with different criteria weights. The proposed GRA model can be used in different applications of sustainability due to its flexible nature, which provides benefits from goal-oriented extensions in order to adequately capture different aspects of sustainability.

scholarly journals An analysis of the influence of organizational leadership on innovation management using the Fuzzy-AHP method

2021 ◽  
Vol 14 (3) ◽  
pp. 521-544
Author(s):  
Roger Da Silva Wegner ◽  
Julia Tontini ◽  
Vânia Medianeira Flores Costa ◽  
Arthur Muller Junior ◽  
Deoclécio Junior Cardoso da Silva
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Innovation Management ◽  
Fuzzy Ahp ◽  
Technological Advancement ◽  
Ahp Method ◽  
Analytic Hierarchy ◽  
Management Perspective ◽  
Management Area ◽  
Hierarchy Process

Purpose – The changes that occurred in the market, resulting from technological advancement, made companies pay attention to innovation in their processes, products or services, as a way to stand out. To enhance innovation in companies, focusing on leadership is an effective way. In this sense, the present study aimed to develop a model in order to list the priorities related to leadership and its interface with innovation, under the top management perspective of a telecommunications company.Design/methodology/approach – For the development of the model, the Fuzzy Analytic Hierarchy Process (Fuzzy-AHP) method was used to identify such factors and the best alternatives so that the investigated company can make consistent decisions. Thus, the criteria chosen by the Manager and Director were discovered, as well as the alternatives that they cherish, contributing to the development of innovation within the company.Findings – The results showed that the perception of the two interviewees was similar, however, it is emphasized that they should better choose how to apply innovation within the company.Originality/value – This study opens the way to highlight the importance of the theme of leadership and its interface with innovation for professionals in the management area, favoring decision making, in addition to contributing to the literature, deepening the debate on the theme of leadership and innovation, which is still incipient and needs development.

On Moderate Fuzzy Analytic Hierarchy Process Pairwise Comparison Model With Subcriteria

2016 ◽  
Vol 2 (3) ◽  
pp. 54
Author(s):  
G. Marimuthu ◽  
G. Ramesh
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Ahp ◽  
Pairwise Comparison ◽  
Decision Models ◽  
Fuzzy Analytic Hierarchy Process ◽  
Analysis Method ◽  
Analytic Hierarchy ◽  
Comparison Model ◽  
Hierarchy Process

Decisions usually involve the getting the best solution, selecting the suitable experiments, most appropriate judgments, taking the quality results etc., using some techniques.  Every decision making can be considered as the choice from the set of alternatives based on a set of criteria.  The fuzzy analytic hierarchy process is a multi-criteria decision making and is dealing with decision making problems through pairwise comparisons mode [10].  The weight vectors from this comparison model are obtained by using extent analysis method.  This paper concern with an alternate method of finding the weight vectors from the original fuzzy AHP decision model (moderate fuzzy AHP model), that has the same rank as obtained in original fuzzy AHP and ideal fuzzy AHP decision models.

Food waste treatment option selection through spherical fuzzy AHP

2021 ◽  
pp. 1-11
Author(s):  
Aysu Melis Buyuk ◽  
Gul T. Temur
Keyword(s):  
Treatment Option ◽  
Food Waste ◽  
Waste Treatment ◽  
Fuzzy Ahp ◽  
Treatment Options ◽  
Analytic Hierarchy ◽  
Food Treatment ◽  
Novel Approach ◽  
Proposed Model ◽  
Option Selection

In line with the increase in consciousness on sustainability in today’s global world, great emphasis has been attached to food waste management. Food waste is a complex issue to manage due to uncertainties on quality, quantity, location, and time of wastes, and it involves different decisions at many stages from seed to post-consumption. These ambiguities re-quire that some decisions should be handled in a linguistic and ambiguous environment. That forces researchers to benefit from fuzzy sets mostly utilized to deal with subjectivity that causes uncertainty. In this study, as a novel approach, the spherical fuzzy analytic hierarchy process (SFAHP) was used to select the best food treatment option. In the model, four main criteria (infrastructural, governmental, economic, and environmental) and their thirteen sub-criteria are considered. A real case is conducted to show how the proposed model can be used to assess four food waste treatment options (composting, anaerobic digestion, landfilling, and incineration). Also, a sensitivity analysis is generated to check whether the evaluations on the main criteria can change the results or not. The proposed model aims to create a subsidiary tool for decision makers in relevant companies and institutions.

scholarly journals Evaluating the groundwater quality of Damodar Fan Delta (India) using fuzzy-AHP MCDM technique

2021 ◽  
Vol 11 (7) ◽  
Author(s):  
Sadik Mahammad ◽  
Aznarul Islam
Keyword(s):  
Water Quality ◽  
Groundwater Quality ◽  
Fuzzy Ahp ◽  
Poor Quality ◽  
Quality Parameters ◽  
Analytic Hierarchy ◽  
Fan Delta ◽  
Quality Water ◽  
Calcium Magnesium ◽  
Groundwater Quantity

AbstractIn recent years, groundwater pollution has become increasingly a serious environmental problem throughout the world due to increasing dependency on it for various purposes. The Damodar Fan Delta is one of the agriculture-dominated areas in West Bengal especially for rice cultivation and it has a serious constraint regarding groundwater quantity and quality. The present study aims to evaluate the groundwater quality parameters and spatial variation of groundwater quality index (GWQI) for 2019 using the fuzzy analytic hierarchy process (FAHP) method. The 12 water quality parameters such as pH, TDS, iron (Fe−) and fluoride (F−), major anions (SO42−, Cl−, NO3−, and HCO3−), and cations (Na+, Ca2+, Mg2+, and K+) for the 29 sample wells of the study area were used for constructing the GWQI. This study used the FAHP method to define the weights of the different parameters for the GWQI. The results reveal that the bicarbonate content of 51% of sample wells exceeds the acceptable limit of drinking water, which is maximum in the study area. Furthermore, higher concentrations of TDS, pH, fluoride, chloride, calcium, magnesium, and sodium are found in few locations while nitrate and sulfate contents of all sample wells fall under the acceptable limits. The result shows that 13.79% of the samples are excellent, 68.97% of the samples are very good, 13.79% of the samples are poor, and 3.45% of the samples are very poor for drinking purposes. Moreover, it is observed that very poor quality water samples are located in the eastern part and the poor water wells are located in the northwestern and eastern part while excellent water quality wells are located in the western and central part of the study area. The understanding of the groundwater quality can help the policymakers for the proper management of water resources in the study area.

Effectiveness of clauses restricting equity transfer in articles of association of limited liability companies using fuzzy AHP: A data analysis of related cases in China from 2010 to 20191

2021 ◽  
pp. 1-12
Author(s):  
Peng Chen ◽  
Yingzhi Nie
Keyword(s):  
Fuzzy Ahp ◽  
Limited Liability ◽  
Limited Liability Company ◽  
Analytic Hierarchy ◽  
Legal Norms ◽  
The Past ◽  
Analytic Hierarchical Process ◽  
Closed Characteristics ◽  
A Company ◽  
External Equity

Based on the company cases published in China over the past ten years, both theoretical methods and Artificial intelligence technologies were applied to analysis cases data on the effectiveness of clauses restricting equity transfer in articles of association of limited liability companies (LLCs). With its unique characters based on shareholders and strong vitality, limited liability company (LLC), as the “evergreen tree” among the market players, is a company form adopted by many investors. Nevertheless, due to its prominent closed characteristics, equity transfer has become a bottleneck for the development of LLCs. According to this paper, it is necessary to distinguish between the effectiveness of clauses restricting internal and external equity transfer in articles of association of LLCs. Fuzzy Analytic Hierarchical Process (AHP) is utilized for which involves process of analytic hierarchy modelled with utilizing theory of fuzzy logic. Moreover, instead of being confined to the existing legal norms, the judgment standard of clauses restricting equity transfer in articles of association of LLCs should be comprehensively measured by the golden rules, i.e. “fairness”, “autonomy” and “operability”.

When foreign brands appear local, and local brands appear foreign

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bo Chen
Keyword(s):  
Developing Countries ◽  
Purchase Intention ◽  
Empirical Studies ◽  
Country Of Origin ◽  
Developed Countries ◽  
Brand Names ◽  
Content Type ◽  
Product Categories ◽  
Foreign Brand ◽  
Foreign Brands

PurposeBoth foreign and local companies frequently name their brands in foreign language on the market of developing countries, and some of them choose to disclose the brands' country of origin to consumers. The purpose of this research is to investigate the joint effects between the practices of disclosing the actual country of origin of the brands and the language of the brand names on consumers' purchase intention for foreign brands and local brands in developing countries.Design/methodology/approachThe proposed hypotheses were tested in two studies, namely an experiment and a field experimental survey, with stimuli from two product categories.FindingsThe results of the two empirical studies with Chinese participants consistently demonstrate that revealing the actual country of origin of the brands undermines consumers' purchase intention for local brands that use foreign brand names, but does not impact consumers' purchase intention for foreign brands that use local brand names.Originality/valueThis research first investigates the effects of adapting the brand names into local language of developing countries for brands from developed countries on consumers' purchase intention, which provides new insight into the literature on foreign branding and country of origin effects as well as practical implications for brand managers.

Developing human resource for the digitization of logistics operations: readiness index framework

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anchal Gupta ◽  
Rajesh Kr Singh ◽  
Shivam Gupta
Keyword(s):  
Fuzzy Ahp ◽  
Organizational Factors ◽  
Organization Culture ◽  
Management Support ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Top Management Support ◽  
Logistics Company ◽  
The Right ◽  
Hierarchy Process

PurposeThe purpose of this study is to identify factors that are important for logistics organizations from the perspective of manpower readiness for digitization of logistics operations. The study also prioritizes the identified factors and also evaluates the readiness index of manpower for the digitalization of logistics processes.Design/methodology/approachThe factors for manpower readiness are identified through literature review and analysis of a case study. Three major categories of factors are identified. These are organizational, behavioural and technological factors. Under these three major categories of factors, 18 sub-factors are identified. Thereafter, with experts' inputs, the factors are prioritized using Fuzzy analytic hierarchy process (AHP). Further, a case illustration of an Indian logistics company has been taken to understand the current processes, technical capabilities, manpower skills and organization culture. After the case analysis and expert inputs, the manpower readiness index has been evaluated by using graph theory matrix approach (GTMA).FindingsThe prioritization of manpower readiness factors has been done using Fuzzy AHP. Organizational factors are found to be the most important factors which require quick attention. Sub-factors that are most important for building competencies in the logistics sector are providing the right training on functional skill development (0.129), top management support and commitment for digitalization (0.117), and organizational culture for process digitalization (0.114), etc. Finally, framework for evaluation of manpower readiness index for logistics operations in the digital age has been illustrated for a case company.Practical implicationsIndian logistics companies can benchmark their readiness index with respect to the best in the industry. Based on the readiness index, logistics companies can analyse their position, gaps from best and worst and can also identify potential areas for improvement.Originality/valueThe novelty of the study lies in the development of a framework for manpower readiness for digitalization in the logistics sector. In literature, this field is very less researched and provides the scope for developing strategies for improving manpower competencies for Industry 4.0. Logistics companies can improve their performance by making their manpower ready based on results obtained for readiness index.

Foreign Product Preference among Indian Consumers: The Role of Product Reviews, Word of Mouth and Quality of Shared Information

2021 ◽  
Vol 20 (04) ◽  
Author(s):  
Amanish Lohan ◽  
Anirban Ganguly ◽  
Chitresh Kumar ◽  
Asim Talukdar
Keyword(s):  
Social Exchange ◽  
Structural Equation ◽  
Word Of Mouth ◽  
Emerging Market ◽  
Product Reviews ◽  
Consumer Decision Making ◽  
Indian Consumers ◽  
Shared Information ◽  
Foreign Brands

Decades post 1990 have seen rapid globalisation and technological advancement in the field of e-commerce, exposing consumers in emerging economies to an earlier unavailable wider range of foreign products and brands. Although the preference for both foreign and domestic products largely depends on consumer biases, studies show that shared information can influence consumer decision-making. This study aims to investigate the Indian consumers’ intentions towards foreign brands for apparel products. Using the theoretical foundation of the Theory of Planned Behaviour (TPB) and Social Exchange Theory (SET), the collected primary survey of 204 Indian consumers across a single product category (apparel) was analysed using Structural Equation Modelling (SEM). The study determined that both “product reviews” and “informal word-of-mouth” discussions have a positive and significant impact on consumer’s preference towards foreign brands. Further, the quality of information shared also plays a significant role in foreign brand preference. We also found evidence that an increase in income positively influences behaviour, however, the level of education has a negative influence. The findings of the study might serve as a roadmap for any foreign apparel brand looking to establish itself in an emerging market like India.

scholarly journals Research on Risk Measurement of Supply Chain Emergencies in International Capacity Cooperation

2019 ◽  
Vol 11 (19) ◽  
pp. 5184
Author(s):  
Bo-Rui Yan ◽  
Qian-Li Dong ◽  
Qian Li
Keyword(s):  
Supply Chain ◽  
Financial Risk ◽  
Fuzzy Ahp ◽  
Risk Index ◽  
Risk Measurement ◽  
Country Risk ◽  
Analytic Hierarchy ◽  
Analytic Hierarchy Process Method ◽  
Measurement Index System ◽  
Hierarchy Process

International capacity cooperation is easily affected by the interweaving of its internal and external environment. As the risk accumulation exceeds the threshold, a supply chain crisis and even emergency will occur and serious losses will be caused. Regarding multinational operation and international capacity cooperation, 208 cases were summarized to identify risk types and high-incidence areas, and a risk measurement index system was established. A Fuzzy AHP (Analytic Hierarchy Process) method was used to evaluate the importance of each risk index. It was found that country risk was the main cause of supply chain emergencies in international capacity cooperation. Construction, water and electricity supply, mining and manufacturing were major areas of emergencies. In international capacity cooperation, country risk and cross-cultural risk were more important in external risks, while in internal risk, financial risk and decision risk were more important.

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