scholarly journals Discovering Knowledge and Cognitive Based Drivers for SMEs Internationalization

2021 ◽  
Author(s):  
Jamshid Alinasab ◽  
Seid Mohammad Reza Mirahmadi ◽  
Hassan Ghorbani ◽  
Francesco Caputo
Keyword(s):  
Global Economy ◽  
Fuzzy Ahp ◽  
Research Question ◽  
Senior Managers ◽  
Analytic Hierarchy ◽  
Statistical Population ◽  
Real Options Theory ◽  
Factors Affecting ◽  
The Subject ◽  
Research Decision

AbstractInternationalisation begins with companies’ decision to enter global markets to develop knowledge and experience as key competitive factors in the global economy, which has been the subject of much empirical research. Decision-making, knowledge management, and effective internationalisation have become key strategic tools for all companies, especially for small- and medium-sized enterprises (SMEs). This study wants to provide a framework for SMEs internationalisation based on the real options theory, (ROT) as a knowledge driver method. For this purpose, the effective factors for internationalisation were identified by reviewing the literature on the subject and the internal and external backgrounds of the subject. Then, main and sub-factors were prioritised by the fuzzy analytic hierarchy process (AHP) method. The statistical population consisted of senior managers, business managers of SMEs in Isfahan, Iran, who were eligible to enter this study. Twenty-six experts participated in this study by judgmental non-random sampling method. A fuzzy AHP questionnaire was prepared in the form of 19 sub-factors and 7 main factors. The components of each factor in each group were also ranked by experts, and their weights were obtained. Next, according to the ROT strategies which have 5 options, an alignment matrix was used to align the factors affecting the decision with the strategies. After answering the research question, the option that had a higher mode was considered AS; then, this score was multiplied by the weight obtained in the previous step and the TAS was obtained. Finally, strategies were classified as appropriate, need further investigation, and inappropriate.

scholarly journals Application of MICMAC, Fuzzy AHP, and Fuzzy TOPSIS for Evaluation of the Maintenance Factors Affecting Sustainable Manufacturing

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1436
Author(s):  
Małgorzata Jasiulewicz-Kaczmarek ◽  
Katarzyna Antosz ◽  
Ryszard Wyczółkowski ◽  
Dariusz Mazurkiewicz ◽  
Bo Sun ◽  
...  
Keyword(s):  
Fuzzy Ahp ◽  
Sustainable Manufacturing ◽  
Fuzzy Topsis ◽  
Point Of View ◽  
Manufacturing Processes ◽  
Analytic Hierarchy ◽  
Factors Affecting ◽  
Maintenance Factors ◽  
Major Factors ◽  
The Impact

This paper presents an empirical study on the impact of maintenance function on more sustainable manufacturing processes. The work methodology comprises four stages. At first, ten factors of maintenance activities from a sustainable manufacturing point of view were identified. Then, in the second stage, the matrix of crossed impact multiplications applied to a classification (MICMAC) was carried out to categorize these factors based on their influence and dependence values. In the third stage, the criteria for evaluation of maintenance factors were defined, then the fuzzy analytic hierarchy process (F-AHP) was applied to determine their relative weights. In the last stage, the results of MICMAC and F-AHP analyses were used as inputs for the fuzzy technique for order preference by similarity to ideal solution (F-TOPIS) to generate aggregate scores and selection of the most important maintenance factors that have an impact on sustainable manufacturing processes. A numerical example is provided to demonstrate the applicability of the approach. It was observed that factors “Implementation of preventive and prognostic service strategies”, “The usage of M&O data collection and processing systems”, and “Modernization of machines and devices” are the major factors that support the realization of sustainable manufacturing process challenges.

scholarly journals A Hybrid Model with Spherical Fuzzy-AHP, PLS-SEM and ANN to Predict Vaccination Intention against COVID-19

Mathematics ◽  
2021 ◽  
Vol 9 (23) ◽  
pp. 3075
Author(s):  
Phi-Hung Nguyen ◽  
Jung-Fa Tsai ◽  
Ming-Hua Lin ◽  
Yi-Chung Hu
Keyword(s):  
Structural Equation ◽  
Fuzzy Ahp ◽  
Equation Model ◽  
Online Questionnaire ◽  
Analytic Hierarchy ◽  
Factors Affecting ◽  
Perceived Severity ◽  
Global Pandemic ◽  
Five Factors ◽  
Artificial Neural Network Ann

This study aims to identify the key factors affecting individuals’ behavioral vaccination intention against COVID-19 in Vietnam through an online questionnaire survey. Differing from previous studies, a novel three-staged approach combining Spherical Fuzzy Analytic Hierarchy Process (SF-AHP), Partial Least Squares-Structural Equation Model (PLS-SEM), and Artificial Neural Network (ANN) is proposed. Five factors associated with individuals’ behavioral vaccination intention (INT) based on 15 experts’ opinions are considered in SF-AHP analysis, including Perceived Severity of COVID-19 (PSC), Perceived COVID-19 vaccines (PVC), Trust in government intervention strategies (TRS), Social Influence (SOI), and Social media (SOM). First, the results of SF-AHP indicated that all proposed factors correlate with INT. Second, the data of 474 valid respondents were collected and analyzed using PLS-SEM. The PLS-SEM results reported that INT was directly influenced by PVC and TRS. In contrast, SOI had no direct effect on INT. Further, PSC and SOM moderated the relationship between PVC, TRS and INT, respectively. The ANN was deployed to validate the previous stages and found that the best predictors of COVID-19 vaccination intention were PVC, TRS, and SOM. These results were consistent with the SF-AHP and PLS-SEM models. This research provides an innovative new approach employing quantitative and qualitative techniques to understand individuals’ vaccination intention during the global pandemic. Furthermore, the proposed method can be used and expanded to assess the perceived efficacy of COVID-19 measures in other nations currently battling the COVID-19 outbreak.

scholarly journals A Novel Approach for HST Delays Using Pythagorean Fuzzy AHP and Regression Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Hümeyra Bolakar Tosun
Keyword(s):  
Regression Analysis ◽  
High Speed ◽  
Fuzzy Ahp ◽  
Transport Systems ◽  
Railway Transport ◽  
Analytic Hierarchy ◽  
Factors Affecting ◽  
Novel Approach ◽  
High Speed Trains ◽  
Hierarchy Process

The increased need for transportation worldwide has led to intense competition among several transportation types. Thus, considering factors affecting the choice of transportation means of passengers is essential. In many countries, railways have been losing market share in both freight and passenger transport, especially against highways. Railway transport systems must regain their declining share for the sake of the economy and sustainability. For this reason, many studies have been conducted to eliminate delays in high-speed trains, the speed of which is the most important criterion for preference. This study determines the reasons for train delays in a bid to make the high-speed train project successful in Turkey and for trains to serve better. Furthermore, regression analysis and the Pythagorean fuzzy analytic hierarchy process (AHP) analysis were performed according to the most effective criteria. The most effective criteria were determined as maintenance, repair, and closure due to renewal. Additionally, various suggestions regarding the effect of the obtained causes on train delays were put forward.

scholarly journals Identification and Prioritization of the Factors Affecting the Disaster Preparedness of Schools in Mashhad, Iran

2019 ◽  
pp. 267-274
Keyword(s):  
Elementary Schools ◽  
Disaster Management ◽  
Disaster Preparedness ◽  
Analytic Hierarchy ◽  
Statistical Population ◽  
Factors Affecting ◽  
Building Retrofit ◽  
Management Plans ◽  
Order Preference ◽  
Basic Standards

INTRODUCTION: Iran has always been prone to natural disasters, such as hurricanes and earthquakes, which are followed by heavy financial and bodily harms. In this regard, it is crucial to have disaster management in the schools of Iran to protect the significant number of young people studying in schools. Therefore, school principals must be constantly prepared for disasters and develop disaster management plans. METHODS: The present study aimed to identify and prioritize the factors that affect the natural disaster preparedness of schools using the fuzzy analytic hierarchy process (FAHP) method. Moreover, another objective of this research was to rank the elementary schools in District 6 of Mashhad regarding their disaster preparedness with the fuzzy technique for order preference by similarity to ideal solution (FTOPSIS). In this research, first, the criteria and sub-criteria for disaster preparedness were obtained using the Delphi method and according to the opinions of experts. Afterward, the collected criteria and sub-criteria were ranked using the FAHP method. The statistical population of this research consisted of experts, including principals and experts in the studied schools (schools in District 6 of Mashhad) who were familiar with disaster management issues. In total, 10 experts were selected as the sample using the purposive sampling method. FINDINGS: Based on the results, the most important disaster preparedness factors in schools were building retrofit, adherence to basic standards, and committee formation, in that order. CONCLUSION: Finally, the elementary schools of District 6 of Mashhad were ranked in terms of disaster preparedness using the obtained model and the FTOPSIS. This ranking can help the managers in making decisions to prioritize the conduction of building retrofit of the schools in the studied area.

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.

Divergent Principles of Politeness in Verbal and Non-Verbal Directive Speech Act

2018 ◽  
Vol 4 (2) ◽  
pp. 41
Author(s):  
Lindayana ◽  
Arifuddin ◽  
Halus Mandala
Keyword(s):  
High School ◽  
Qualitative Research ◽  
Learning Process ◽  
Speech Act ◽  
Senior High School ◽  
Factors Affecting ◽  
Data Source ◽  
The Subject ◽  
Directive Speech ◽  
Bahasa Indonesia

This study was conducted aiming at examining: (1) the divergent principles of politeness in students’ directive speech act (2) factors affecting politeness and impoliteness in verbal and non-verbal directive speech act produced by students at grade X in Senior High School 1 Mataram in the learning process. The subject of this study are teachers teaching Bahasa Indonesia, English, Economy, History, Math, Religion, Civic, and Science, and all students at Grade X of Science 1, Science 3 and Social 2 in Senior High School 1 Mataram. This study is a descriptive qualitative research. The data source in this study is the number of utterances produced by students and teachers in the learning process. The data were collected through observation. This study revealed that: (1) there were divergent principles of politeness in participants’ directive speech act namely single and multiple divergent principles of politeness affected by speaker intentionally accused addressees, intentionally uttered by neglecting the context, was protective to other arguments, showed emotional feeling, given critiques in impolite words and mocked at other; and (2) there were factors affecting politeness and impoliteness in verbal and non-verbal directive speech act produced by students in learning process namely linguistic factor and non-linguistic factor.

THE TRUMP ADMINISTRATION’S APPROACH TO ENERGY SECURITY IN POLAND AND THE BALTIC STATES

2020 ◽  
Vol 18 (1/2020) ◽  
pp. 33-67
Author(s):  
Olga Stevanovic
Keyword(s):  
Energy Security ◽  
Research Question ◽  
Energy Resources ◽  
Baltic States ◽  
Realist Theory ◽  
Main Research ◽  
Security Challenges ◽  
The Us ◽  
The Subject ◽  
The Baltic

The subject of this paper encompasses US policy towards Poland and the Baltic States regarding energy security during Donald Trump’s presidency. It is discernible that vast domestic energy resources have created an opportunity for the US to project more power to these countries, and the surrounding region. We argue that Trump and his administration’s perceptions have served as an intervening variable in that opportunity assessment, in accordance with the neoclassical realist theory. The main research question addressed in this paper is whether US has used that opportunity to contribute to energy security in countries it has traditionally deemed as allies. Two aspects of US approach to energy security of the designated countries are taken into consideration: liquified natural gas exports and support for the Three Seas Initiative. The way Trump presented his policy and its results in his public statements has also been considered in this paper. The article will proceed as follows. The first subsection of the paper represents a summary of energy security challenges in Poland and the Baltic States. The second subsection is dedicated to the opportunity for the US to project energy power and to Trump’s perceptions relevant for the opportunity assessment. The third subsection deals with American LNG exports to these countries as a possible way for contributing to energy security in Poland and the Baltic States. The last part of the paper addresses the Three Seas Initiative and US approach to this platform.

scholarly journals Application of Mathematical and Computational Methods to Identify Women’s Priorities in Transport

2021 ◽  
Vol 13 (5) ◽  
pp. 2845
Author(s):  
Sara Poveda-Reyes ◽  
Ashwani Kumar Malviya ◽  
Elena García-Jiménez ◽  
Gemma Dolores Molero ◽  
Maria Chiara Leva ◽  
...  
Keyword(s):  
Transport System ◽  
Autonomous Vehicles ◽  
Transport Sector ◽  
Sustainable Society ◽  
Analytic Hierarchy ◽  
Family Responsibilities ◽  
Factors Affecting ◽  
Participation Of Women ◽  
Bike Sharing ◽  
Safe Transport

It is well established that the transport sector is not an equalitarian sector. To develop a sustainable society, a more equalitarian and safe transport system for both users and transport sector employees is needed. This work prioritizes the needs and barriers previously identified as relevant among transport system users and employees for four different transport scenarios (railways, autonomous vehicles (AVs), bicycle-sharing services (BSSs), and employment). The aim of this paper is to prioritize the factors affecting women in these four transport scenarios with the help of a survey followed by the application of mathematical and computational algorithms based on the analytic hierarchy process (AHP) methodology. The identification of factors with higher influence in the fair participation of women in the transport sector will help transport planners, bike-sharing system owners, decision-makers, transport companies, and regulatory professionals to develop measures that could plausibly increase the proportion of women as users of BSSs, users of rail public transport, and AVs, as well as employees in the transport sector for a sustainable society. The results indicated that safety and security were the most challenging factors for railways. Weather, topography, and family responsibilities were shown to have a high influence on the use of BSSs. In the case of autonomous vehicles, the simultaneity and trust in the technology are the main opportunities to influence the acceptance of such vehicles. Finally, for transport employment, caring and parenting responsibilities were the factors that had the largest effect. Some differences in priorities were found for different profiles of women.

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.

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