Author
Joshua Ignatius
Other affiliations: University of Warwick, Universiti Sains Malaysia
Bio: Joshua Ignatius is an academic researcher from University of Exeter. The author has contributed to research in topics: Fuzzy logic & Fuzzy number. The author has an hindex of 23, co-authored 58 publications receiving 2417 citations. Previous affiliations of Joshua Ignatius include University of Warwick & Universiti Sains Malaysia.
Papers published on a yearly basis
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TL;DR: A state-of-the-art literature survey is conducted to taxonomize the research on TOPSIS applications and methodologies and suggests a framework for future attempts in this area for academic researchers and practitioners.
Abstract: Multi-Criteria Decision Aid (MCDA) or Multi-Criteria Decision Making (MCDM) methods have received much attention from researchers and practitioners in evaluating, assessing and ranking alternatives across diverse industries. Among numerous MCDA/MCDM methods developed to solve real-world decision problems, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) continues to work satisfactorily across different application areas. In this paper, we conduct a state-of-the-art literature survey to taxonomize the research on TOPSIS applications and methodologies. The classification scheme for this review contains 266 scholarly papers from 103 journals since the year 2000, separated into nine application areas: (1) Supply Chain Management and Logistics, (2) Design, Engineering and Manufacturing Systems, (3) Business and Marketing Management, (4) Health, Safety and Environment Management, (5) Human Resources Management, (6) Energy Management, (7) Chemical Engineering, (8) Water Resources Management and (9) Other topics. Scholarly papers in the TOPSIS discipline are further interpreted based on (1) publication year, (2) publication journal, (3) authors' nationality and (4) other methods combined or compared with TOPSIS. We end our review paper with recommendations for future research in TOPSIS decision-making that is both forward-looking and practically oriented. This paper provides useful insights into the TOPSIS method and suggests a framework for future attempts in this area for academic researchers and practitioners.
1,571 citations
TL;DR: In this article, a study was conducted to uncover the factors that propel knowledge sharing among academicians in higher learning institutions of Malaysia using the Theory of Reasoned Action as the basis for this study's research framework.
Abstract: Universities are expected to be places where knowledge is shared freely among academicians. However, the reality shows that knowledge sharing is barely present within universities these days. As Malaysia shifts towards building a knowledge-based society, academic institutions, particularly the public universities, now face ever-growing faculty demands for sharing quality resources and expertise. As a result, knowledge sharing in academia has become a rising concern. The purpose of this study, then, is to uncover the factors that propel knowledge sharing among academicians in higher learning institutions of Malaysia. Using the Theory of Reasoned Action as the basis for this study’s research framework, data was gathered from 447 academicians in 10 public universities scattered throughout the country. Findings from the Partial Least Squares analysis revealed that extrinsic motivation, reciprocal relationships, sense of self-worth and subjective norm are vital determinants of an academician’s attitude towards knowledge sharing. In turn, this attitude that is formed will largely determine whether the academician engages in knowledge sharing behaviors or not. Besides having a positive effect on attitude, sense of self-worth also exhibited a positive impact on the subjective norm to share knowledge. Consequently, this subjective norm will have an impact upon knowledge sharing behavior. In addition, perceived behavioral control and organizational climate were discovered to have a direct influence on knowledge sharing behaviors. Implications, limitations as well as suggestions for future research are accordingly discussed in this paper.
170 citations
TL;DR: In this paper, the authors developed a lean index to assess the leanness level of the organisation in sustaining lean transformation, which is developed from theory and is quantified using a multi-criteria approach i.e., analytic network process (ANP).
Abstract: We develop a lean index to assess the leanness level of the organisation in sustaining lean transformation. This ‘lean index’ is developed from theory, and is quantified using a multi-criteria approach i.e., analytic network process (ANP). This index provides a useful measure for sustainable lean performance because it adopts a holistic approach of performance measurement based on the socio-technical perspective which considers the interdynamics of human, system and technology.
105 citations
TL;DR: In this article, a multi-objective collaborative decision-making model is proposed to coordinate the pharmaceutical supply chain with service level consideration through a multiobjective decision making model, and the augmented econstraint method is applied to obtain the Pareto optimal solutions and the trade-offs between the objectives are examined.
98 citations
TL;DR: In this paper, the authors consider a retailer responsible for recycling and a manufacturer responsible for remanufacturing and form three game theoretic models for two different scenarios with different pricing strategies, i.e., a non-cooperative pricing scenario based on Stackelberg equilibrium and Nash equilibrium, and a joint pricing scenario within a cooperative game model.
76 citations
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TL;DR: Loads of the research methods in the social sciences book catalogues in this site are found as the choice of you visiting this page.
Abstract: Find loads of the research methods in the social sciences book catalogues in this site as the choice of you visiting this page. You can also join to the website book library that will show you numerous books from any types. Literature, science, politics, and many more catalogues are presented to offer you the best book to find. The book that really makes you feels satisfied. Or that's the book that will save you from your job deadline.
2,303 citations
TL;DR: A state-of-the-art literature survey is conducted to taxonomize the research on TOPSIS applications and methodologies and suggests a framework for future attempts in this area for academic researchers and practitioners.
Abstract: Multi-Criteria Decision Aid (MCDA) or Multi-Criteria Decision Making (MCDM) methods have received much attention from researchers and practitioners in evaluating, assessing and ranking alternatives across diverse industries. Among numerous MCDA/MCDM methods developed to solve real-world decision problems, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) continues to work satisfactorily across different application areas. In this paper, we conduct a state-of-the-art literature survey to taxonomize the research on TOPSIS applications and methodologies. The classification scheme for this review contains 266 scholarly papers from 103 journals since the year 2000, separated into nine application areas: (1) Supply Chain Management and Logistics, (2) Design, Engineering and Manufacturing Systems, (3) Business and Marketing Management, (4) Health, Safety and Environment Management, (5) Human Resources Management, (6) Energy Management, (7) Chemical Engineering, (8) Water Resources Management and (9) Other topics. Scholarly papers in the TOPSIS discipline are further interpreted based on (1) publication year, (2) publication journal, (3) authors' nationality and (4) other methods combined or compared with TOPSIS. We end our review paper with recommendations for future research in TOPSIS decision-making that is both forward-looking and practically oriented. This paper provides useful insights into the TOPSIS method and suggests a framework for future attempts in this area for academic researchers and practitioners.
1,571 citations
01 Jan 2013
TL;DR: A literature review of MCDM methods can be found in this paper, which examines the advantages and disadvantages of the identified methods, and explains how their common applications relate to their relative strengths and weaknesses.
Abstract: Multi-Criteria Decision Making (MCDM) methods have evolved to accommodate various types of applications. Dozens of methods have been developed, with even small variations to existing methods causing the creation of new branches of research. This paper performs a literature review of common Multi-Criteria Decision Making methods, examines the advantages and disadvantages of the identified methods, and explains how their common applications relate to their relative strengths and weaknesses. The analysis of MCDM methods performed in this paper provides a clear guide for how MCDM methods should be used in particular situations.
1,080 citations
TL;DR: This study reviewed a total of 403 papers published from 1994 to 2014 in more than 150 peer reviewed journals and indicated that, in 2013, scholars have published papers more than other years.
Abstract: Two decades was systematically reviewed on fuzzy MCDM techniques from 1994 to 2014.The database for review was 403 papers from more than 150 high-ranking journals.403 scholarly papers were grouped in four different main fields.Papers were classified based on utilizing, developing and proposing research papers. MCDM is considered as a complex decision-making tool involving both quantitative and qualitative factors. In recent years, several fuzzy FMCDM tools have been suggested to choosing the optimal probably options. The purpose of this paper is to review systematically the applications and methodologies of the fuzzy multi decision-making (FMCDM) techniques. This study reviewed a total of 403 papers published from 1994 to 2014 in more than 150 peer reviewed journals (extracted from online databases such as ScienceDirect, Springer, Emerald, Wiley, ProQuest, and Taylor & Francis). According to experts' opinions, these papers were grouped into four main fields: engineering, management and business, science, and technology. Furthermore, these papers were categorized based on authors, publication date, country of origin, methods, tools, and type of research (FMCDM utilizing research, FMCDM developing research, and FMCDM proposing research). The results of this study indicated that, in 2013, scholars have published papers more than other years. In addition, hybrid fuzzy MCDM in the integrated method and fuzzy AHP in the individual section were ranked as the first and second methods in use. Additionally, Taiwan was ranked as the first country that contributed to this survey, and engineering was ranked as the first field that has applied fuzzy DM tools and techniques.
724 citations
11 Sep 2015
TL;DR: The results of this study indicated that in 2013 scholars have published articles more than in other years, and energy, environment and sustainability were ranked as the first areas that have applied MCDM techniques and approaches.
Abstract: Multiple criteria decision-making (MCDM) is considered as a complex decision-making (DM) tool involving both quantitative and qualitative factors. In recent years, several MCDM techniques and approaches have been suggested to choosing the optimal probable options. The purpose of this article is to systematically review the applications and methodologies of the MCDM techniques and approaches. This study reviewed a total of 393 articles published from 2000 to 2014 in more than 120 peer reviewed journals (extracted from Web of Science). According to experts’ opinion, these articles were grouped into 15 fields. Furthermore, these articles were categorised based on authors, publication date, name of journals, methods, tools, and type of research (MCDM utilising research, MCDM developing research, and MCDM proposing research). The results of this study indicated that in 2013 scholars have published articles more than in other years. In addition, the analytic hierarchy process (AHP) method in the individual tool...
704 citations