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Journal of Quantitative Methods


SJIF 2024:
Under evaluation
Area: Multidisciplinary
Evaluated version: online 		Previous evaluation SJIF
2023: Not indexed
2022: 5.365
2021: 5.357
2020: 5.323
The journal is indexed in:
SJIFactor.com
Basic information  
Main title Journal of Quantitative Methods
Other title [English] JQM
Abbreviated title j.quant.methods
ISSN 2522-2260 (E) / 2522-2252 (P)
URL http://ojs.umt.edu.pk/index.php/jqm/about
Country  Pakistan
Frequency Biannual
License Free for educational use
Texts availability Free
Contact Details  
Editor-in-chief Professor Maqbool H. Sial
  Chairman, Department of Quantitative Methods, School of Business and Economics, University of Management and Technology, Lahore, Pakistan.
   Pakistan
Publisher Department Of Quantitative Methods, School Of Business And Economics (SBE), University Of Management And Technology (UMT), Lahore, Pakistan.
  Department of Quantitative Methods, School of Business and Economics (SBE), University of Management and Technology (UMT), C-II Johar Town, Lahore, Pakistan.
Journal's description  
Journal of Quantitative Methods (JQM) is a multidisciplinary bi-annual journal launched in 2017 by the Department of Quantitative Methods, School of Business and Economics (SBE), University of Management and Technology (UMT), Lahore, Pakistan. JQM provides new insights and fosters critical debate about the role of data analysis in business and economics.

JQM is a double-blind peer-reviewed publication dedicated to the exchange of the latest academic research and practical information on all the aspects of quantitative methods in business and social sciences. The journal publishes original research papers, reviews and case studies by academicians and professionals.

JQM provides a unique forum concerned with the quantitative aspect(s) of development including business analytics, data mining, data management, marketing, finance, human resource management, knowledge management, entrepreneurship, human development, socio-economic development and environmental sustainability.

JQM seeks to help and furnish new evidence-based theories and understandings as it pertains to data science and its applications. It stresses the importance of appreciating the interplay of local and global contexts and dynamics in shaping and enhancing the role of quantitative methods in management decision making and socio-economic development.
Publication Frequency: Bi-annual
Abbreviated Key Title: J.quant.methods
Parallel Title: JQM
Area of Publication: Quantitative Methods, Business & Economics







 
 
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