José M. Merigó

ORCID: 0000-0002-4672-6961
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About
Contact & Profiles
Research Areas
  • Multi-Criteria Decision Making
  • Fuzzy Systems and Optimization
  • Optimization and Mathematical Programming
  • Rough Sets and Fuzzy Logic
  • Innovation and Knowledge Management
  • Big Data and Business Intelligence
  • scientometrics and bibliometrics research
  • Cognitive Science and Mapping
  • Forecasting Techniques and Applications
  • Digital Marketing and Social Media
  • Diverse Aspects of Tourism Research
  • Business Strategy and Innovation
  • Bayesian Modeling and Causal Inference
  • Fuzzy Logic and Control Systems
  • Entrepreneurship Studies and Influences
  • Monetary Policy and Economic Impact
  • Technology Adoption and User Behaviour
  • Intellectual Capital and Performance Analysis
  • Market Dynamics and Volatility
  • Business, Innovation, and Economy
  • International Business and FDI
  • Complex Systems and Time Series Analysis
  • Stock Market Forecasting Methods
  • Competitive and Knowledge Intelligence
  • Complex Systems and Decision Making

University of Technology Sydney
2018-2025

Universidad Michoacana de San Nicolás de Hidalgo
2023

University of Chile
2014-2022

Universidad Católica de la Santísima Concepción
2018-2022

Universidad Autónoma de Occidente
2022

Information Technology University
2021-2022

Universidad de Granada
2018-2021

University of Manchester
2012-2019

Universitat de Barcelona
2008-2018

Jaypee Institute of Information Technology
2018

Purpose The European Journal of Marketing was created in 1967. In 2017, the journal celebrates its 50th anniversary. Therefore, purpose this study is to present a bibliometric overview leading trends during period. Design/methodology/approach This work uses Scopus database analyse most productive authors, institutions and countries, as well cited papers citing articles. investigation indicators represent bibliographic data, including total number publications citations between 1967 2017....

10.1108/ejm-11-2017-0853 article EN European Journal of Marketing 2018-01-31

10.1016/j.ins.2008.11.013 article EN Information Sciences 2008-11-26

Purpose In 2017, the Journal of Knowledge Management (JKM) celebrates its 20th anniversary. This study aims to show an updated analysis their publications provide a general overview journal, focusing on bibliometric between 1997 and 2016. Design/methodology/approach The methodology involves two procedures: performance science mapping JKM. uses series indicators such as h -index, productivity citations. considers different dimensions, including papers, authors, universities countries....

10.1108/jkm-10-2017-0497 article EN Journal of Knowledge Management 2018-06-04

10.1007/s11365-017-0487-y article EN International Entrepreneurship and Management Journal 2018-01-06

Bibliometrics is a fundamental field of information science that studies bibliographic material quantitatively. It very useful for organising available knowledge within specific scientific discipline. This study presents bibliometric overview accounting research using the Web Science database, identifying most relevant in classified by papers, authors, journals, institutions and countries. The results show influential journals are: Journal Accounting Economics , Research Review Accounting,...

10.1111/auar.12109 article EN Australian Accounting Review 2016-12-23

Purpose The aim of this study is to reveal the contribution that Journal Business & Industrial Marketing has scientific research and its most influential thematic work in B-to-B since beginning 1986 until 2015, commemoration 30th anniversary. Design/methodology/approach paper begins with a qualitative introduction: emergence magazine, origins, editorial positioning. Subsequently, it based on bibliometric methodologies develop quantitative analysis. distribution annual publications...

10.1108/jbim-04-2016-0079 article EN Journal of Business and Industrial Marketing 2017-02-03

In this paper, we develop a new approach for decision making with Dempster-Shafer theory of evidence by using linguistic information. We suggest the use different types aggregation operators in model. then obtain as result, belief structure — ordered weighted averaging (BS-LOWA), BS hybrid (BS-LHA) and wide range particular cases. Some their main properties are studied. Finally, provide an illustrative example that shows results obtained approach.

10.1142/s0218488510006544 article EN International Journal of Uncertainty Fuzziness and Knowledge-Based Systems 2010-05-10

10.1016/j.cie.2010.01.007 article EN Computers & Industrial Engineering 2010-01-15

10.1016/j.eswa.2011.03.034 article EN Expert Systems with Applications 2011-03-17
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