scholarly journals A process-based guide for international entrepreneurs while investing in the agrifood sector of an emerging economy: a multi-layer decision-making approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hannan Amoozad Mahdiraji ◽  
Moein Beheshti ◽  
Seyed Hossein Razavi Hajiagha ◽  
Niloofar Ahmadzadeh Kandi ◽  
Hasan Boudlaie
Keyword(s):  
Decision Making ◽  
Matrix Multiplication ◽  
Analytic Network Process ◽  
Emerging Economy ◽  
Barriers To Entry ◽  
Content Type ◽  
Fundamental Limitations ◽  
Network Process ◽  
Low Efficiency ◽  
Future Policy

PurposeDue to the political, economic and infrastructure barriers and risks that international entrepreneurs (IEs) face when researching an emerging economy's agrifood sector, this research aims to identify the major barriers, analyse their relationships, quantify their importance, classify and rank them. Thus, the IEs will gain a better understanding and vision of their decision-making processes in this era.Design/methodology/approachTo do this, the authors first created a list of barriers to entry for IEs into Iran's rising economy's agrifood industry. Following that, a multi-layer decision-making approach was developed and implemented to accomplish the research objectives. The first stage utilized a hybrid of interpretive structural modelling (ISM) and cross-impact matrix multiplication applied to classification (MICMAC) to depict the level-based conceptual model and classification of the IEs’ obstacles to entry into the agrifood sector. Following that, a hybrid decision-making trial and evaluation laboratory (DEMATEL), and analytic network process (ANP) called DANP was utilized to present a causal relationship between the barriers, identify their causes and effects, and also quantify the relevance of each barrier.FindingsAfter employing the multi-layer decision-making approach, the results demonstrated that fundamental limitations, including infrastructure and technology limitations, are the most critical barriers alongside policy factors encompassing governmental support and access to global or regional economy/market. According to the results, innovation and economic sustainability of the agrifood supply chain also matter. All of these critical barriers are intertwined and should be planned and solved simultaneously. Furthermore, based on DANP results, the sustainability pillars (economy, environment, society), besides the low efficiency of the agrifood sector in Iran, should be investigated further for future policy makings.Originality/valueA hybrid multi-layer decision-making approach has been used for analysing the barriers of investment in the agrifood sector of the emerging economy of Iran for the international entrepreneurs. Moreover, the authors provide implications and insights for IEs and officials for decision-making in the future.

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.

Maintenance strategy selection in a cement industry using analytic network process

2019 ◽  
Vol 26 (4) ◽  
pp. 509-525
Author(s):  
Mary C. Kurian ◽  
Shalij P.R. ◽  
Pramod V.R.
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Multiple Criteria ◽  
Cement Industry ◽  
Superior Performance ◽  
Cement Plant ◽  
Strategy Selection ◽  
Maintenance Strategy ◽  
Content Type ◽  
Network Process

Purpose The purpose of this paper is to demonstrate the application of analytic network process (ANP) as a methodology to make multiple criteria decision in selecting the most appropriate maintenance strategy for organizations with critical manufacturing requirements. Design/methodology/approach Maintenance strategy selection problems are multiple criteria decision making (MCDM) problems which consist of many qualitative and quantitative characteristics. For solving MCDM problems, the ANP is highly recommended as it considers the interdependent influences among and between the various levels of decision attributes. In this research paper, the ANP method is used to select the optimum maintenance strategy in a cement industry in India. Findings The ANP method can be used as an effective tool for the evaluation of possible alternatives in maintenance strategy decision problems by considering the dependency among the strategic factors. Research limitations/implications As illustrated in this paper, ANP method can also be used in other industries for adopting the optimum maintenance strategy to enhance the business performance by decreasing the losses associated with equipment effectiveness. Practical implications The major contribution of this research is the successful development of the comprehensive ANP model for the cement plant. ANP model incorporates diversified variables of the cement plant supply chain and includes their interdependencies. The proposed ANP model in this paper, not only guides the decision makers in the selection of the best services but also enables them to visualize the impact of various criteria in the arrival of the final solution. Social implications The model can be extended to certain other manufacturing sectors as the future scope of research and may assist in obtaining a clear idea regarding the status of current maintenance strategies. It should be carried out with a larger number of firms in India focusing on small and medium firms to confirm these results and reinforce their applicability to these kinds of firms. Studies of such a nature would help in identifying successful organizational factors or successful maintenance practices that lead to superior performance. Originality/value This paper explores the value of implementing ANP as a decision making method in maintenance strategy, which is currently not a prevalent method.

Towards lean warehouse: transformation and assessment using RTD and ANP

2016 ◽  
Vol 65 (4) ◽  
pp. 571-599 ◽  
Author(s):  
Sanjay Sharma ◽  
Bhavin Shah
Keyword(s):  
Decision Making ◽  
Team Building ◽  
Analytic Network Process ◽  
Continuous Assessment ◽  
Manufacturing Firm ◽  
Content Type ◽  
Lean Transformation ◽  
Network Process ◽  
Enterprise Level ◽  
Practical Validation

Purpose – The purpose of this paper is to represent a unique combined Real time Delphi (RTD) – analytic network process (ANP) approach considering efficient decision making with practical validation. Design/methodology/approach – An ANP model encounters invisible relationship and interdependency among qualitative and quantitative criteria for assessment. RTD supports continuous assessment and improvement in team building, modeling, developing, implementing and validating the procedure. To illustrate practical validation of the model, the authors apply it in a manufacturing firm. A case illustrating the model, finds improved results and judgments followed by conclusion. Findings – A case illustrating the model, finds improved results and judgments. This model improves warehouse performance by integrating lean and people issues. The outcome results in an efficient decision making and consensus judgments. It also fosters high trust and coordination level among people in warehouse. Originality/value – Previous studies have assessed leanness either at enterprise or manufacturing level. As lean transformation and assessment both are continuous and long-term procedure, first the concept should apply to single function and should lead toward enterprise level. A web-based approach and multi criteria decision-making techniques like analytic hierarchy process, and ANP had been applied individually to measure leanness at enterprise level. Because of the warehouse contributing significantly to the total wastes and costs for an organization, such operations are considered presently.

Supplier evaluation with order allocation in mega-projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Davoud Yadegari ◽  
Soroush Avakh Darestani
Keyword(s):  
Decision Making ◽  
Reliability And Validity ◽  
Analytic Network Process ◽  
Supplier Evaluation ◽  
Content Type ◽  
Analysis Techniques ◽  
Measurement Tools ◽  
Network Process ◽  
Future Work

Purpose The purpose of this study is to provide a model for evaluating, prioritizing and allocating orders to suppliers in the supply chain for mega-projects. Design/methodology/approach By using an integrated model (based on fuzzy analytic network process), suppliers are selected and the appropriate amounts are allocated to them in mega-projects. Initially, a hierarchical model of the research method was introduced. Then, the results on reliability and validity analysis of research measurement tools were presented. Finally, prioritization and allocation of orders to suppliers, with a case study of Iran Mall project, was carried out using Decision Making Trial and Evaluation Laboratory (DEMATEL) and analytic network process (ANP). T-test was used to evaluate the research hypotheses. Findings The findings were examined against conventional numerical analysis techniques. Finally, implication and recommendations for future work were presented. Originality/value The originality of this work is about using multi-criteria decision-making techniques for evaluating suppliers in mega-projects.

A novel hybrid MCDM approach for outsourcing supplier selection

2016 ◽  
Vol 11 (2) ◽  
pp. 536-559 ◽  
Author(s):  
Maedeh Rezaeisaray ◽  
Sadoullah Ebrahimnejad ◽  
Kaveh Khalili-Damghani
Keyword(s):  
Decision Making ◽  
Analytic Network Process ◽  
Data Envelopment ◽  
Content Type ◽  
Dea Model ◽  
Qualitative And Quantitative ◽  
Network Process ◽  
Criteria Weights ◽  
Practical Implications

Purpose The purpose of this paper is to determine the criteria weights of outsourcing and their key role in ranking outsourcing suppliers. Design/methodology/approach A new hybrid multi-criteria decision-making approach merges three tools, namely, decision making trial and evaluation (DEMATLE), fuzzy analytic network process (FANP) and ordinal/cardinal data envelopment analysis (DEA) model. Afterwards, experts’ opinions were gathered from a Pipe and Fittings company. Finally, their opinions were incorporated in three-stage approach for outsourcing suppliers’ selection. Findings The findings of this study show that among the selective criteria for outsourcing, business development, focus on basic activities and order delays are the three most important criteria. Also, the proposed approach ranks suppliers to facilitate decision making for selection. Research limitations/implications The number of suppliers, selection criteria and the number of members of the respondents’ team have been identified as some of the limitations of the present study. Practical implications The study has significant and practical implications for the managers and for the organizations which have to choose top suppliers, particularly in the case of dealing with numerous and qualitative/quantitative criteria. Originality/value This paper proposed a new three-stage approach that incorporates outputs of previous as inputs of next stage to increasing results accuracy. Also, it showed that by incorporating results of FANP method into DEA model, key role of experts’ opinions as a qualitative and quantitative criteria can be caused by increasing flexibility of decision process.

E-fulfillment performance evaluation for an e-tailer: a DANP approach

2019 ◽  
Vol 69 (4) ◽  
pp. 741-773 ◽  
Author(s):  
Rohit Titiyal ◽  
Sujoy Bhattacharya ◽  
Jitesh J. Thakkar
Keyword(s):  
Decision Making ◽  
Performance Evaluation ◽  
Analytic Network Process ◽  
Evaluation Framework ◽  
Privacy And Security ◽  
Content Type ◽  
Body Of Knowledge ◽  
Network Process ◽  
And Performance ◽  
Last Mile Delivery

Purpose E-fulfillment has a significant role to play within e-tailing, which provides products to a customer, comprising primarily of five components: website quality, customization strategy, distribution strategy, last mile delivery and return management. The purpose of this paper is to provide an e-fulfillment performance evaluation framework for an e-tailer, considering the different performance aspects of information systems (IS), marketing and operations for e-tailers. Design/methodology/approach Since quite a few performance aspects (i.e. IS, marketing system and operations) need to be factored in while evaluating the e-fulfillment performance, it may be considered as a complex multi-criteria decision-making problem. This study used decision-making trial and evaluation laboratory (DEMATEL) based analytic network process (DANP) to investigate the relationship between performance class and performance aspects, and calculated their weights. These designated weights of performance aspects help managers to find the important aspects needing improvement. The understanding of the interrelationship among the performance aspects enables managers to improve the efficiency of an e-tailing system. Findings This study provides the e-fulfillment performance evaluation framework to find the important aspects requiring improvement. The results of this study reveal that the important performance aspects of e-fulfillment performance are return policy, pickup method, innovativeness, assortment type, assortment width, trust (privacy and security) and promised delivery date. Practical implications This e-fulfillment performance evaluation could be used by an e-tailer to assess the e-fulfillment performance, and identify areas of improvement. Originality/value This study makes a contribution to the present body of knowledge by considering operations related performance aspects except the IS and marketing to evaluate the e-fulfillment performance.

scholarly journals The Decision Making Trial and Evaluation Laboratory (Dematel) and Analytic Network Process (ANP) for Safety Management System Evaluation Performance

2018 ◽  
Vol 31 ◽  
pp. 12006 ◽  
Author(s):  
Lisa Rolita ◽  
Bayu Surarso ◽  
Rahmat Gernowo
Keyword(s):  
Decision Making ◽  
Management System ◽  
Evaluation System ◽  
Safety Management ◽  
Analytic Network Process ◽  
Performance Criterion ◽  
Questionnaire Data ◽  
Safety Management System ◽  
International Airport ◽  
Network Process

In order to improve airport safety management system (SMS) performance, an evaluation system is required to improve on current shortcomings and maximize safety. This study suggests the integration of the DEMATEL and ANP methods in decision making processes by analyzing causal relations between the relevant criteria and taking effective analysis-based decision. The DEMATEL method builds on the ANP method in identifying the interdependencies between criteria. The input data consists of questionnaire data obtained online and then stored in an online database. Furthermore, the questionnaire data is processed using DEMATEL and ANP methods to obtain the results of determining the relationship between criteria and criteria that need to be evaluated. The study cases on this evaluation system were Adi Sutjipto International Airport, Yogyakarta (JOG); Ahmad Yani International Airport, Semarang (SRG); and Adi Sumarmo International Airport, Surakarta (SOC). The integration grades SMS performance criterion weights in a descending order as follow: safety and destination policy, safety risk management, healthcare, and safety awareness. Sturges' formula classified the results into nine grades. JOG and SMG airports were in grade 8, while SOG airport was in grade 7.

scholarly journals Applying ANP in Establishing a Decision-Making Model for the Destination Selection of Large-scale Exhibitions

2017 ◽  
Vol 7 (1) ◽  
pp. 100
Author(s):  
Wen-Tsung Wu ◽  
Chie-Bein Chen
Keyword(s):  
Decision Making ◽  
Large Scale ◽  
Analytic Network Process ◽  
Cost Ratio ◽  
Benefit Cost Ratio ◽  
Network Process ◽  
Second Tier ◽  
High Benefit ◽  
Decision Making Model ◽  
Selection Of

This study investigates the decision-making issues in the selection of destinations for large-scale exhibitions by the cultural and creative industry. We use the Rubber Duck China Tour by the Dutch artist Florentijn Hofman as an example and adopt the analytic network process technique to evaluate destination options for the exhibition, as well as to explore the impacts of the evaluation of destination feasibilities on exhibition investment. The results show that power, a high benefit-cost ratio, first-tier cities, integration with local communities, and a rich and interesting theme are the top five factors that curators should consider when planning exhibitions. Considering the priority among cities of various tiers, first-tier cities are the most favorable, followed by fourth-tier, third-tier, and second-tier cities. The decision-making model provides curators with a reliable reference for selecting destinations for future exhibitions.

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