scholarly journals Evaluating key capabilities for developing global collaborative networks using a multi-layer decision-making approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hannan Amoozad Mahdiraji ◽  
Khalid Hafeez ◽  
Ali Asghar Abbasi Kamardi ◽  
Jose Arturo Garza-Reyes
Keyword(s):  
Decision Making ◽  
Network Formation ◽  
Hybrid Approach ◽  
Global Market ◽  
Global Network ◽  
Collaborative Network ◽  
Managerial Control ◽  
Content Type ◽  
Fuzzy Delphi ◽  
Priority Weights

PurposeThis paper proposes a multi-layer hybrid decision-making approach to evaluate the capability alternatives for developing a collaborative network to operate in the international market.Design/methodology/approachThe present study is contextualised in the Iranian pistachio export industry. An extensive review of the state-of-the-art literature on supplier collaboration was conducted to identify key capabilities that are essential to establish a collaborative network. The set of defined capabilities were then optimised through interviews with 14 experts from the relevant industry, academics and export authorities. A combination of the fuzzy Delphi method and the best–worst method (BWM) approach was, respectively, used to reduce the number of capability alternatives and assign priority weights to these alternatives. Subsequently, a weighted aggregated sum product assessment method (WASPAS) was employed to rank and evaluate the ability to creating a collaborative network for the export of pistachio.FindingsFrom the extant literature review, 18 capabilities for the formation of coordination networks in the international markets were identified. Then, the prominent indicators in forming a global network were extracted. After ranking the top pistachio export countries/regions to formalise an efficient collaborative network, it was revealed that although Iran exports approximately 30% of the global market, it falls behind the USA and European Union. The competitors have scored higher in critical criteria, including “trust and commitment”, “strategy and management”, “managerial control and standardization” and “financial resources”.Originality/valueThe proposed hybrid approach encompassing fuzzy Delphi–BWM–WASPAS offers to solve the capability evaluation and selection as well as ranking the possible alternative to formalise a collaborative network in an integrated fashion. This combination of methods is capable to first identify the most important factors, then measuring their importance and eventually rank the possible alternatives. The suggested framework provides an approach to deal with the uncertainty of global collaborative network formation.

scholarly journals Predicting changing pattern: building model for consumer decision making in digital market

2018 ◽  
Vol 31 (5) ◽  
pp. 674-703 ◽  
Author(s):  
Anil Kumar ◽  
Sachin Kumar Mangla ◽  
Sunil Luthra ◽  
Nripendra P. Rana ◽  
Yogesh K. Dwivedi
Keyword(s):  
Decision Making ◽  
Service Providers ◽  
Research Work ◽  
Second Phase ◽  
Extensive Literature ◽  
Consumer Decision Making ◽  
Consumer Decision ◽  
Content Type ◽  
Fuzzy Delphi ◽  
Priority Weights

Purpose Consumers have the multiple options to choose their products and services, which have a significant impact on the pattern of consumer decision making in digital market and further increases the challenges for the service providers to predict their buying pattern. In this sense, the purpose of this paper is to propose a structural hierarchy model for analyzing the changing pattern of consumer decision making in digital market by taking an Indian context. Design/methodology/approach To accomplish the objectives, the research is conducted in two phases. An extensive literature review is performed in the first phase to list the factors related to the changing pattern of consumer decision making in digital market and then fuzzy Delphi method is applied to finalize the factors. In the second phase, fuzzy analytic hierarchy process (AHP) is employed to find the priority weights of finalized factors. The fuzzy set theory allows capturing the vagueness in the data. Findings The findings obtained in this study shows that consumers are much conscious about innovative and trendy products as well as brand and quality; therefore, the service providers must think about these two most important factors so that they can able to retain their consumer in their online portal. Practical implications The analysis shows that “innovative and trendy” is the first priority factor for the consumers followed by “brand and quality” and “fulfilment and time energy.” The proposed model can help the marketers and service providers in predicting customers’ preferences and their changing pattern efficiently under vague surroundings. The outcomes of this research work not only help the service provider to update their products and services according to consumers’ needs but can also help them to increase profit and minimize their risk. Originality/value This work contributes to consumer research literature focusing on problem evaluation in the context of changing pattern of consumer decision making in digital era.

A hybrid approach to optimize initial design strategies for pre-sale housing projects

2019 ◽  
Vol 26 (3) ◽  
pp. 515-534
Author(s):  
Yi-Kai Juan ◽  
I-Chieh Lin ◽  
Ji-Xuan Tsai
Keyword(s):  
Decision Making ◽  
Design Process ◽  
Hybrid Approach ◽  
Design Strategies ◽  
Design Quality ◽  
Content Type ◽  
Housing Design ◽  
Residential Design ◽  
Initial Design ◽  
Fuzzy Delphi

Purpose The purpose of this paper is to propose a hybrid decision-making model for optimizing the initial design strategies of pre-sales housing, identifying factors affecting the initial design of housing, and developing different initial design approaches and strategies based on buyers’ preferences. Design/methodology/approach Indicators and factors in line with the local initial planning and design are created according to the design quality indicator framework. The important indicators and factors are screened out preliminarily with the fuzzy Delphi method and decision-making trial and evaluation laboratory based analytic network process. The performances of two actual cases under similar site conditions are checked with regard to the overall residential sales rate and time on the market (TOM). Findings The result shows that the proposed model can effectively improve the sales rate, shorten the TOM and better complies with buyer design strategy demands, and thus positively correlating to economic value. Originality/value Pre-sales make possible the customized strategy of allowing future residents to participate in the housing design process. However, buyers’ participation in the design process is highly limited, and developers usually determine their planning and initial residential design strategies based on experience and intuition. With the proposed approach, the initial residential design of a project can be effectively intervened, so that home users can truly participate in the design, and the residential construction service can be provided in a unique, but non-universal way.

Comparison of ANFIS and FAHP-FGP methods for supplier selection

Kybernetes ◽  
2016 ◽  
Vol 45 (3) ◽  
pp. 474-489 ◽  
Author(s):  
Moloud sadat Asgari ◽  
Abbas Abbasi ◽  
Moslem Alimohamadlou
Keyword(s):  
Performance Measures ◽  
Supplier Selection ◽  
Mean Squared Error ◽  
Selection Process ◽  
Evaluation Criteria ◽  
Absolute Error ◽  
Global Market ◽  
Content Type ◽  
Squared Error ◽  
Fuzzy Delphi

Purpose – In the contemporary global market, supplier selection represents a crucial process for enhancing firms’ competitiveness. This is a multi-criteria decision-making problem that involves consideration of multiple criteria. Therefore this requires reliable methods to select the best suppliers. The purpose of this paper is to examine and propose appropriate method for selecting suppliers. Design/methodology/approach – ANFIS and fuzzy analytic hierarchy process-fuzzy goal programming (FAHP-FGP) are new methods for evaluating and selecting the best suppliers. These methods are used in this study for evaluating suppliers of dairy industries and the results obtained from methods are compared by performance measures such as Mean Squared Error, Root Mean Squared Error, Normalized Root Men Squared Error, Mean Absolute Error, Normalized Root Men Squared Error, Minimum Absolute Error and R2. Findings – The results indicate that the ANFIS method provides better performance compared to the FAHP-FGP method in terms of the selected suppliers scoring higher in all the performance measures. Practical implications – The proposed method could help companies select the best supplier, by avoiding the influence of personal judgment. Originality/value – This study uses the well-structured method of the fuzzy Delphi in order to determine the supplier evaluation criteria as well as the most recent ANFIS and FAHP-FGP methods for supplier selection. In addition, unlike most other studies, it performs the selection process among all available suppliers.

scholarly journals Construction of capital procurement decision making model to optimize supplier selection using Fuzzy Delphi and AHP-DEMATEL

2018 ◽  
Vol 25 (5) ◽  
pp. 1528-1547 ◽  
Author(s):  
Anil Kumar ◽  
Amit Pal ◽  
Ashwani Vohra ◽  
Sachin Gupta ◽  
Suryakant Manchanda ◽  
...  
Keyword(s):  
Decision Making ◽  
Automobile Industry ◽  
Supplier Selection ◽  
Selection Process ◽  
Strategic Decision ◽  
Extensive Literature ◽  
Content Type ◽  
Fuzzy Delphi ◽  
Selection For ◽  
Decision Making Model

Purpose Supplier selection for capital procurement is a major strategic decision for any automobile company. The decision determines the success of the company and must be taken systematically with the utmost transparency. The purpose of this paper is to construct capital procurement decision-making model to optimize supplier selection in the Indian automobile industry. Design/methodology/approach To achieve the stated objective, a combined approach of fuzzy theory and AHP-DEMATEL is applied. Evaluation parameters are identified through an extensive literature review and criteria validation has been introduced through a Fuzzy Delphi method by using fuzzy linguistic scales to handle the vagueness of information. AHP is employed to find the priority weight of criteria, although an inter-relationship map among criteria is not possible through AHP alone since it considers all criteria as independent. To overcome this, DEMATEL is used to establish cause-effect relationships among criteria. Findings The results show that the total cost of ownership (TOC) is the first weighted criterion in supplier selection for capital procurement, followed by manufacturing flexibility and maintainability, then conformity with requirement. The cause-effect model shows that supplier profile, TOC, service support and conformity with requirement are in the cause group and are considered to be the most critical factors in selecting the supplier. Originality/value The study’s outcome can help the automobile industry to optimize their selection process in selecting their suppliers for capital procurement; the proposed model can provide guidelines and direction in this regard.

A product-technology portfolio alignment approach for food industry: a multi-criteria decision making with z-numbers

2020 ◽  
Vol 122 (12) ◽  
pp. 3947-3967 ◽  
Author(s):  
Nima Garousi Mokhtarzadeh ◽  
Hannan Amoozad Mahdiraji ◽  
Vahid Jafari-Sadeghi ◽  
Arash Soltani ◽  
AliAsghar Abbasi Kamardi
Keyword(s):  
Decision Making ◽  
Food Industry ◽  
Hybrid Approach ◽  
Multicriteria Decision Making ◽  
Product Portfolio ◽  
Content Type ◽  
Novel Approach ◽  
Production Technologies ◽  
Product Technology ◽  
Technology Matrix

PurposeTo design a novel hybrid approach to illustrate a reciprocal alignment to integrate future products and technologies. This mixed qualitative-quantitative method aims to optimize the final product portfolio and production technologies alignment in the food industry.Design/methodology/approachA list of products and technologies is extracted and evaluated by experts employing Market Attractiveness and Ease of Implementations Matrix (MA-EI) for products and attractiveness and technological Capability Matrix (A-C) for technologies. Weights of high-scored alternatives are attained applying the Z-number extension of Best Worst Method (ZBWM). After the product-technology matrix is formed and the alignment scores of each pair are determined by experts. Subsequently, final scores are computed, and a framework is proposed by electing high-ranked products and technology of each cluster to form the aligned product and technology portfolios of a food and hygiene industry company.FindingsBy employing an uncertain multicriteria decision-making approach besides product and technology matrices in a food industry corporation, among 40 technology and product, 13 products by 6 technologies are proposed. Thus, only six technology are necessary to manufacture the highly important and effective products.Originality/valueThe combination of product and technology analysis matrixes with an uncertain decision-making approach is considered as a novel approach in this research. Moreover, the distinctness between the present study and other researches is the concurrent unified aspect of product portfolio and technology optimization and its implementation in the planning discussion, especially in the food industry.

An interview with Romira Young: opportunities and challenges for local small business owners in the tourism and hospitality industries in time of disasters

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Anita Bledsoe-Gardner
Keyword(s):  
Small Businesses ◽  
Structured Interview ◽  
International Markets ◽  
Business Owners ◽  
Global Market ◽  
Global Network ◽  
Small Business Owners ◽  
Content Type ◽  
Small Minority ◽  
Tourism And Hospitality

Purpose The purpose of this interview aims to offer a means to better understand tourism as it relates to small businesses within a global network. Design/methodology/approach A semi-structured interview was used. Findings The key findings are in line with Masco’s (2017) research that asserts “change can be selective and/or optional for the tourism stakeholders (e.g. tourists, operators, destination organizations, policymakers, local communities, employees), the nature and degree of crises-led transformations depend on whether and how these stakeholders are affected by, respond to, recover and reflect on crises”, particularly small minority-owned tourist companies. Practical implications This interview provides a lens to better understand how small businesses operate within the global market and remain at the cornerstone for sustaining domestic and international markets. Originality/value This study highlights small minority-owned business and their ability to become resilient. This interview illustrated that grounded small businesses, while implored with challenges from natural disasters, also have the resiliency to overcome such challenges when the agency has the ability to provide “turn-key” services for their clients thereby providing clients a sense of agency and value-laden experiences via personalization of services.

Supporting decision-making in service supplier selection using a hybrid fuzzy extended AHP approach

2017 ◽  
Vol 23 (1) ◽  
pp. 196-222 ◽  
Author(s):  
Giustina Secundo ◽  
Donato Magarielli ◽  
Emilio Esposito ◽  
Giuseppina Passiante
Keyword(s):  
Decision Making ◽  
Analytic Hierarchy Process ◽  
Fuzzy Set ◽  
Supplier Selection ◽  
Hybrid Approach ◽  
High Tech ◽  
Manufacturing Companies ◽  
Analytic Hierarchy ◽  
Content Type ◽  
Hierarchy Process

Purpose Service supplier selection is a multi-criteria decision-making (MCDM) problem assuming a strategic role for the competitiveness of high-tech manufacturing companies. Nevertheless, especially for service quality evaluation, there is little empirical evidence of the practical usefulness of MCDM methodologies. Aiming to cover this gap between theoretical approaches and empirical applications, the purpose of this paper is to propose a fuzzy extended analytic hierarchy process (FEAHP) approach for service supplier evaluation. Design/methodology/approach A hybrid approach which combines some of the strengths of the analytic hierarchy process (AHP) and of the fuzzy set theory is presented, as organized into five steps. A case study is used to evaluate the applicability in a real company context. Findings The usability of the approach is demonstrated in an aerospace company for solving the supplier selection problem of a business software whose applications are still in infancy: a Test Data Management System (TDMS). The illustrative application contains both “general” criteria to be used for other service supplier selection contexts as well as service-specific criteria related to software selection. Research limitations/implications Even if the application regards the selection of a software supplier, the methodology can be generically extended to other services’ selection in complex manufacturing industries through the personalization of some criteria. Practical implications Implications can be derived both for business managers involved into the decision-making process and for suppliers identifying the most promising features of software quality. Originality/value The originality consists in the combination into a hybrid approach of the strong points of the AHP with the fuzzy set; the inclusion of multiple perspectives of decision criteria for service supplier selection, basically the “software product” and “supplier” ones; a real empirical application to test and demonstrate the efficacy and the practical utility of the proposed approach.

Agility evaluation in fuzzy context: influence of decision-makers’ risk bearing attitude

2014 ◽  
Vol 21 (6) ◽  
pp. 1084-1119 ◽  
Author(s):  
Swagatika Mishra ◽  
Siba Sankar Mahapatra ◽  
Saurav Datta
Keyword(s):  
Decision Making ◽  
Fuzzy Numbers ◽  
System Modeling ◽  
Decision Makers ◽  
Measurement Scale ◽  
Fuzzy Membership Function ◽  
Organizational Agility ◽  
Managerial Decision ◽  
Content Type ◽  
Priority Weights

Purpose – The purpose of this paper is to investigate the influence of decision-makers’ (DM) risk bearing attitudes and the effect of the decision-making environment on estimating the overall degree of agility of an organization. The present study explores an extended agility model in a specific organization's hierarchy and reflects how decision-making attitudes alter an organizational agility scenario. Design/methodology/approach – The concept of fuzzy logic has been explored in this paper. Based on DMs’ linguistic judgments, a fuzzy appropriateness rating as well as fuzzy priority weights have been determined for different levels of agile system hierarchy. Using a multi-grade fuzzy approach the overall agility index has been determined. The concept of fuzzy numbers ranking has been explored to show the effect of decision-making attitudes on agility estimations. Findings – Decision-making attributes, e.g. the category of DM (neutral, risk-averse and risk-taking), affect the quantitative evaluation of the overall agility degree, which is correlated with a predefined agility measurement scale. Research limitations/implications – This study explores a triangular fuzzy membership function to express DMs’ linguistic judgments as fuzzy representations. Apart from triangular fuzzy numbers, trapezoidal and Gaussian fuzzy numbers may also be used for agility evaluation. The model may be used in other agile industries for benchmarking and selection of the best approach. Practical implications – Selecting the right decision-making group to compute and analyze the agility level for a particular organization is an important managerial decision. In the case of benchmarking of various agile enterprises the decision-making group bearing the same attitude should be utilized. Originality/value – Agile system modeling and development of agility appraisement platforms have been attempted by previous researchers while the influence of DMs’ risk bearing attitudes, and the effect of the decision-making environment on estimating the overall degree of agility, have rarely been studied. In this context, the authors explore an exhaustive agility model for implementing in a case study and reveal how decision-making attitudes alter organizational agility scenarios.

Expatriate managers decision-making practices within the UAE: a qualitative study

2016 ◽  
Vol 24 (5) ◽  
pp. 856-882 ◽  
Author(s):  
Hanan AlMazrouei ◽  
Robert Zacca ◽  
Chris Bilney ◽  
Giselle Antoine
Keyword(s):  
Decision Making ◽  
Hybrid Approach ◽  
Arabic Language ◽  
Management Style ◽  
Business Success ◽  
Content Type ◽  
Local Staff ◽  
Local Decision ◽  
Expatriate Managers ◽  
Contextual Environment

Purpose Managing across cultures is vital for international business success. Leaders need to make decisions in a way that suits the new culture in which they are placed. This paper aims to explore how expatriate managers in the UAE make decisions in respect to their contextual environment. Additionally, the study investigates the approaches expatriate managers use to adjust their decision-making and how they manage local staff in contrast to home country staff. Finally, the study investigates the factors that contribute to the situation-specific environment of the expatriate leaders’ experience. Design/methodology/approach Structured personal interviews of expatriates drawn from stratified sampling were used to discover the styles of decision-making that were effective in the UAE. Findings The consultative management style of management enhanced by a hybrid approach of melding the strongest aspects of the expatriates’ decision-making style with the strongest aspects of the local decision-making style met with much success managing in the UAE. Additionally, the expatriate managers’ expression of appreciation towards local staff provided motivation and encouraged cooperation. Moreover, it was found that expatriates can face difficulties in expressing their wishes and requirements accurately to local staff because of their unfamiliarity with the Arabic language. Practical implications This research provides practical guidance for expatriate managers charged with successfully leading organizations in UAE. It also offers guidance for employers seeking to recruit or employ appropriate management talent to UAE. Originality/value The paper concentrates on expatriate managers’ decision-making practices within the UAE.

‘Big data’ patentometrics for R&D decision-making

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Charu Verma ◽  
Pradeep Kumar Suri
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Performance Management ◽  
Relevant Information ◽  
Research Strategy ◽  
Global Market ◽  
Content Type ◽  
Country Level ◽  
Free Data ◽  
The Government

Purpose The purpose of this paper is to highlight the use of big data through patentometric insights for R&D decision-making. Design/methodology/approach This study assesses the inventive activity through ‘big data’ patents, registered by inventors worldwide, using WIPO Patentscope database. The objective is to use the insights from patentometrics for R&D decision-making. The data from WIPO PatentScope (https://patentscope.wipo.int/search/en/search.jsf) was searched for current patent scenario in area of ‘big data’. The data was further organized and cleaned using the Google ‘OpenRefine’. Data was pre-processed to remove all null values. Cleaned data was analyzed using programming language ‘R’, MS Excel (charts and Pivot tables) and free data visualization tool called ‘Tableau Public’, to get insights for R&D decision-making. Findings The key insights included trends (patents with years of publication), top technologies trending the current space, top organizations leading in these technologies and the top inventors who are publishing patents in these technologies through leading organizations were drawn. Details in Section 5 in the paper. Research limitations/implications Global patent data is multi-lingual and spreads across a set of multiple databases. Domain experts may be required to assess, identify and extract the relevant information for analysis and visualization of multi-lingual distributed data sets. Government organizations generally have multi-dimensional goals that may be more toward societal benefits. On the other hand, the commercial companies are more focused on profit. Therefore, the performance management process has to be really effective because it is critical for getting value in the government sector. Practical implications Insights from patent analytics serve as the important input to R&D managers as well as policymakers to assess the global needs to plan the national orientation according to the global market. This will help further for R&D projects prioritization, planning, budget allocations, human capital planning and other gamut of R&D management and decision-making. Social implications Facilitation for R&D institutions (government as well as private) to formulate the research strategy for the domains or research areas to delve into. R&D decisions will be completely data-driven making them more accurate, reliable, valid and informed. These insights are very relevant for policymakers as well to facilitate the need assessment to determine the National priorities, make improvements in meeting societal country-level challenges during the resource allocation at top and subsequently at all other levels. Originality/value Data analytics of global patents in “big data” till 2019 to get insights to facilitate R&D decision-making.

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