Important Journals in Management and Industrial Engineering

Financial Times Top 50 Journals Used in Business School Research Rankings

The list below details the 50 journals used by the Financial Times in compiling the FT Research rank, included in the Global MBA, EMBA and Online MBA rankings.

1. Academy of Management Journal

2. Academy of Management Review

3. Accounting, Organizations and Society

4. Administrative Science Quarterly

5. American Economic Review

6. Contemporary Accounting Research

7. Econometrica

8. Entrepreneurship Theory and Practice

9. Harvard Business Review

10. Human Relations*

11. Human Resource Management

12. Information Systems Research

13. Journal of Accounting and Economics

14. Journal of Accounting Research

15. Journal of Applied Psychology

16. Journal of Business Ethics

17. Journal of Business Venturing

18. Journal of Consumer Psychology

19. Journal of Consumer Research

20. Journal of Finance

21. Journal of Financial and Quantitative Analysis

22. Journal of Financial Economics

23. Journal of International Business Studies

24. Journal of Management*

25. Journal of Management Information Systems*

26. Journal of Management Studies

27. Journal of Marketing

28. Journal of Marketing Research

29. Journal of Operations Management

30. Journal of Political Economy

31. Journal of the Academy of Marketing Science*

32. Management Science

33. Manufacturing and Service Operations Management*

34. Marketing Science

35. MIS Quarterly

36. Operations Research

37. Organization Science

38. Organization Studies

39. Organizational Behavior and Human Decision Processes

40. Production and Operations Management

41. Quarterly Journal of Economics

42. Research Policy*

43. Review of Accounting Studies

44. Review of Economic Studies*

45. Review of Finance*

46. Review of Financial Studies

47. Sloan Management Review

48. Strategic Entrepreneurship Journal*

49. Strategic Management Journal

50. The Accounting Review

https://www.ft.com/content/3405a512-5cbb-11e1-8f1f-00144feabdc0

Ranking of Journals in Industrial and Manufacturing Engineering

593 journals are ranked, number of papers and citations per paper are provided.

http://www.scimagojr.com/journalrank.php?category=2209

Journal of Industrial Engineering International

Journal of Industrial Engineering International  is a peer-reviewed open access journal published under the brand SpringerOpen, covering all aspects of industrial engineering. It is fully supported by the Islamic Azad University, who provide funds to cover all costs of publication, including the Article Processing Charges (APC’s) for all authors. Therefore the journal is both free to read and free to publish in.
http://www.springer.com/engineering/production+engineering/journal/40092

Journal of Industrial and Production Engineering

Official Journal of the Chinese Institute of Industrial Engineers
http://www.scimagojr.com/journalsearch.php?q=21100241791&tip=sid&clean=0
Volume 32, Issue 2, 2015
http://www.tandfonline.com/toc/tjci21/current#.VScvHtyUd1Y

International Journal of Applied Industrial Engineering (IJAIE)

Editor-in-Chief: Lanndon Ocampo (University of the Philippines Cebu, Philippines)
Indexed In: INSPEC and 10 more indices
Published: Semi-Annually |Established: 2012

Topics Covered
Business and strategy
Case studies in industry and services
Decision analysis
Engineering economy and cost estimation
Enterprise resource planning and ERPII
Facility location, layout, design, and materials handling
Forecasting, production planning, and control
Human factors, ergonomics, and safety
Industrial engineering education
Information and communication technology and systems
Innovation, knowledge management, and organizational learning
Inventory, logistics, and transportation
Knowledge and technology transfers in a globalized network
Manufacturing, control, and automation
Operations management
Performance analysis
Product and process design and management
Project Management
Purchasing and procurement
Reliability and maintenance engineering
Scheduling in industry and service
Service systems and service management
Supply chain management
Systems and service modeling and simulation
Technology transfer and management
Third party/fourth party logistics
Total quality management and quality engineering

https://www.igi-global.com/journal/international-journal-applied-industrial-engineering/41034


European Journal of Industrial Engineering
http://www.scimagojr.com/journalsearch.php?q=11200153401&tip=sid&clean=0


International Journal of Industrial Engineering Computations
http://www.scimagojr.com/journalsearch.php?q=21100223326&tip=sid&clean=0

International Journal of Industrial and Systems Engineering
http://www.scimagojr.com/journalsearch.php?q=5800179616&tip=sid&clean=0

Journal of Industrial Engineering and Management
http://www.scimagojr.com/journalsearch.php?q=19700188349&tip=sid&clean=0

International Journal of Industrial Engineering : Theory Applications and Practice
http://www.scimagojr.com/journalsearch.php?q=19151&tip=sid&clean=0

South African Journal of Industrial Engineering
http://www.scimagojr.com/journalsearch.php?q=19700173182&tip=sid&clean=0

Jordan Journal of Mechanical and Industrial Engineering
http://www.scimagojr.com/journalsearch.php?q=20000195025&tip=sid&clean=0

International Journal of Industrial Engineering and Management
http://www.scimagojr.com/journalsearch.php?q=21100211751&tip=sid&clean=0

Journal of Japan Industrial Management Association
http://www.scimagojr.com/journalsearch.php?q=144786&tip=sid&clean=0

Engineering Optimization
http://www.scimagojr.com/journalsearch.php?q=29114&tip=sid&clean=0

International Journal of Industrial Engineering & Production Research

http://ijiepr.iust.ac.ir/

Journal of Productivity Analysis
https://link.springer.com/journal/11123

International Journal of Productivity and Quality Management
http://www.inderscience.com/jhome.php?jcode=ijpqm

International Journal of Productivity and Performance Management
ISSN: 1741-0401
Previously published as: Work Study
http://www.emeraldinsight.com/toc/ijppm/66/6

Journal of Productivity Analysis
https://ideas.repec.org/s/kap/jproda.html

International Journal of Productivity Management and Assessment Technologies (IJPMAT)
https://www.igi-global.com/journal/international-journal-productivity-management-assessment/45937

International Journal of Productivity and Quality Management (IJPQM) 

Editor in Chief
Prof. Angappa Gunasekaran
ISSN online
1746-6482
ISSN print
1746-6474
12 issues per year


A Scopus indexed journal
Productivity and quality are integral components of organisations' operational strategies. Productivity plays an important role at both macro and micro levels. At micro-level, firms use productivity as a performance measure to benchmark against best-in-class companies to identify best practices. Quality management has become an important part of management culture, particularly in new enterprises characterised by supply chain, e-commerce and virtual enterprise environments. IJPQM addresses strategies, techniques and tools for productivity and quality management and improvement in manufacturing and service organisations.


Topics covered include

A perspective on the needs, issues, enablers
Strategic alliances based on core competences, BPR
Problem areas, types of solutions, tools/techniques
Productivity and quality improvement strategies/standards
Link between competitiveness and productivity/quality improvement
Measures/metrics, benchmarking, best practices
Functional/enterprise integration/management
Empirical research/case studies
Software products, IT/IS, e.g. www, EDI, RFID, ERP
Six sigma approach, continuous improvement, knowledge management
Design/implementation of productivity/QMS
Green/environmental productivity/quality, TQM, QFD
Total productivity management, productivity function deployment
SPC and process capability analysis, FEMA
Supply chain/virtual enterprise environments, SMEs


IJPQM is indexed in:
Scopus (Elsevier)
Academic OneFile (Gale)
cnpLINKer (CNPIEC)
Expanded Academic ASAP (Gale)
Business Collection (Gale)
IJPQM is listed in:
Agenzia Nazionale di Valutazione del sistema Universitario e della Ricerca (ANVUR)
Cabell's Directory of Publishing Opportunities

https://www.inderscience.com/jhome.php?jcode=ijpqm

http://ijiepr.iust.ac.ir/

Updated 18 July 2021

Pub 18 July 2018

Literature Review - Lecture Notes, Papers and Video Presentations

https://www.jstor.org/stable/258933?seq=1#metadata_info_tab_contents

Advancing Theory with Review Articles

Corinne Post, Riikka Sarala, Caroline Gatrell, John E. Prescott

Journal of Management Studies, Volume57, Issue2, March 2020, Pages 351-376

https://onlinelibrary.wiley.com/doi/full/10.1111/joms.12549

https://onlinelibrary.wiley.com/doi/full/10.1111/joms.12549

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Tamu video


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Effective Literature Review
Yair Levy

Updated 18 July 2021

Pub 22 June 2013

Social Media Use for Research and Research Dissemination

 

Using social media in your research

Experts explore the practicalities of observing human behavior through Facebook and Twitter.

By Melissa Lee Phillips

Print version: page 32

https://www.apa.org/gradpsych/2011/11/social-media

Social Media Research, Human Behavior, and Sustainable Society

Sustainability 2017, 9(3), 384.

10,042 social media publications involved 221 ISI-defined subject categories. 

The five most common categories were 

Communication (1439 papers; 14.33% of the total publications), 

Sociology (829; 8.26%), 

Public, Environment & Occupational Health (735; 7.32%), 

Business (627; 6.24%), and 

Psychology, Multidisciplinary (575; 5.73%). 

These 10,042 social media articles that were published during 2008–2014 appeared in 2360 ISI-indexed journals. 

Computers in Human Behavior ranked first and published 236 articles on social media. 

New Media & Society published the second most articles (145), f

Public Relations Review (133), 

Information Communication & Society (130), 

The Journal of Medical Internet Research (107), 

Media Culture & Society (92), 

Comunicar (85), 

The Journal of Business Ethics (83), 

American Behavioral Scientist (74), and 

Computers & Education (55). 

Social media articles that were published in these journals received, on average, 6.61 citations.

From 2008 to 2014, the annual publications of social media increased from 716 to 2509, with an average annual growth rate of more than 20%. 

https://www.mdpi.com/2071-1050/9/3/384/htm

Using Social Media to Effectively Promote Your Research

Jul 20, 2019

https://www.enago.com/academy/using-social-media-to-effectively-promote-your-research/

Using Twitter as a data source: an overview of social media research tools (2019).

This post builds upon the 2015, and 2017 editions of this post, captures key trends and events which are shaping social media research for social scientists and provides a collection of research methods and tools for the analysis of social media data.

https://blogs.lse.ac.uk/impactofsocialsciences/2019/06/18/using-twitter-as-a-data-source-an-overview-of-social-media-research-tools-2019/

Video - Social Media for Researchers

Researchers can use social media  to present their work, exchange ideas and results, and to meet like-minded peers. In this webinar recording, Dr. Christian DeFeo Product Marketing Manager of Mendeley – Social explains the history of social networking for researchers, the benefits of each platform type and how you can use them to your advantage. The focus is on understanding of why researchers should network online, and how they can make the best use of social media.  

https://researcheracademy.elsevier.com/communicating-research/ensuring-visibility/social-media-researchers

Content Analysis - Research Methodology

Content Analysis: An Introduction to Its Methodology
Klaus Krippendorff
SAGE Publications, 09-May-2018 - Language Arts & Disciplines - 472 pages
https://books.google.co.in/books/about/Content_Analysis.html?id=FixGDwAAQBAJ&redir_esc=y

Content Analysis: An Introduction to Its Methodology
Front Cover
Klaus Krippendorff
SAGE, 2013 - Language Arts & Disciplines - 441 pages
https://books.google.co.in/books/about/Content_Analysis.html?id=s_yqFXnGgjQC&redir_esc=y

The Content Analysis: An Introduction to Its Methodology
Klaus Krippendorff
SAGE, 2004 - Language Arts & Disciplines - 413 pages

Since the publication of the first edition of Content Analysis: An Introduction to Its Methodology, the textual fabric in which contemporary society functions has undergone a radical transformation -- namely, the ongoing information revolution. Two decades ago, content analysis was largely known in journalism and communication research, and, to a lesser extent, in the social and psychological sciences. Today, content analysis has become an efficient alternative to public opinion research -- a method of tracking markets, political leanings, and emerging ideas, a way to settle legal disputes, and an approach to explore individual human minds. The Second Edition of Content Analysis is a definitive sourcebook of the history and core principles of content analysis as well as an essential resource for present and future studies. The book introduces readers to ways of analyzing meaningful matter such as texts, images, voices -- that is, data whose physical manifestations are secondary to the meanings that a particular population of people brings to them.Organized into three parts, the book examines the conceptual and methodological aspects of content analysis and also traces several paths through content analysis protocols.The author has completely revised and updated the Second Edition, integrating new information on computer-aided text analysis. The book also includes a practical guide that incorporates experiences in teaching and how to advise academic and commercial researchers. In addition, Krippendorff clarifies the epistemology and logic of content analysis as well as the methods for achieving its aims. Author Klaus Krippendorff discusses three distinguishing characteristics of contemporary content analysis: that it is fundamentally empirically grounded, exploratory in process, and predictive or inferential in intent; that it transcends traditional notions of symbols, contents, and intents; and that it has been forced to develop a methodology of its own, one that enables researchers to plan, execute, communicate, reproduce, and critically evaluate an analysis independent of the desirability of its results.Intended as a textbook for advanced undergraduate and graduate students across the social sciences, Content Analysis, Second Edition will also be a valuable resource for practitioners in a variety of disciplines.
https://books.google.co.in/books/about/Content_Analysis.html?id=q657o3M3C8cC


1989
Content Analysis
Klaus Krippendorff
University of Pennsylvania
http://repository.upenn.edu/cgi/viewcontent.cgi?article=1232&context=asc_papers

Grounded Theory Approach

Grounded theory is inductive approach to theory building

Remenyi on Grounded Theory

In business and management  studies established and accepted theories are not many still.   As a result the business and management researcher has opportunity to build new theories. The grounded theory is  a concept developed by Glaser and Strauss(1967). They define it as: ‘ an inductive, theory discovery methodology that allows the researcher to develop a theoretical account of the general features of a topic while simultaneously grounding the account in empirical observations or evidence.’             

The grounded  theory methodology normally relies heavily on the use of in-depth interviews with experts in the field of study for the collection of evidence that will be used in an inductive way to assist in the theory generation.

Theoretical Conjecture

The primary aim of the researcher developing a grounded theory is to describe the phenomena of interest accurately.  The grounded theory emerges through the process of concept discovery, within which the researcher develops abstract concepts and categories from the evidence.   It is important to note that in this approach to research, concepts and theories are regarded simply as more or less useful and not as more or less true or valid.

Once the grounded theory has been developed, the researcher in business and management studies is in a position to  make a theoretical conjecture or thesis, but there is no structured methodology for doing this.  Rather, this aspect of research or scientific study can be regarded as an art that relies almost entirely on the imagination and creative abilities of the researcher.

The researcher develops a theoretical conjecture from the data or evidence, and he or she needs to be able to defend how the concepts and ideas which exist in the literature and which arose from the evidence lead to the theoretical conjecture.

The following is an example of a theoretical conjecture developed through the use of the grounded theory approach for a doctoral dissertation in information systems management (Remenyi,1990a).

Strategic Information Systems (SIS) occur as a result of pressure or opportunities directly related to industry drivers.  The firm’s response to this pressure or opportunity is influenced by its strategy and by its critical success factors (CFS), and these issues determine the formulation of the SIS.  The decision to attempt to take advantage of SIS is made with little attention to detail concerning cost-justification and vendor selection, but with more attention to communicating with the staff, training appropriate people and setting up support facilities.

An important change occurs at this stage of the research.  Whereas the formulation of the research problem began as a description of the known facts from which a narrative theory was developed, this narrative will now be used paradigmatically.  That is to say, it will provide a set of logical conjectures as the basis on which to predict and explain observations. 

Whereas in the physical sciences the theoretical conjecture will frequently be expressed as a formula or as a series of simple propositions, in business and management research the theory or thesis will be presented as a diagram also for the purpose of clarification and presentation.

Hypotheses or Empirical Generalisations

When the new theoretical conjecture or paradigm has been developed the next step is to use it to derive hypotheses or empirical generalisations.  If the theory or thesis has been derived from a review of the literature  then the term hypothesis is more generally used, while if the grounded theory approach was employed then the term empirical generalisation is usually more appropriate. 

Strategic Information Systems occur as a result of pressure or opportunities directly related to industry drivers.

The firm’s response to this pressure or opportunity is influenced by its strategy and by its CSFs and these issues determine the formulation of the SIS.

The decision to attempt to take advantage of SIS is made with little attention to detail concerning cost-justification and supplier selection.

More attention is given to communicating with the staff, training appropriate people and setting up support facilities.

Note that from the theoretical conjecture provided on the previous page, four hypotheses or empirical generalisations were developed.  This is regarded as a reasonable number of empirical generalisations with which to work at a doctoral level.

Some research studies stop at the stage of theoretical conjecture, perhaps having developed some hypotheses or empirical generalisations.  It is argued that at this stage a contribution has already been made to knowledge and this may well be so.  Certainly achieving a theoretical conjecture and producing empirical generalisation would normally be more than adequate for a masters degree and depending on the subject area it might even be enough for a doctorate.

However, if the newly discovered knowledge is to be more widely useful, then it is usually necessary to progress to a further stage in the research in which the new thesis is tested against a larger sample population.  In most circumstances this additional step would be required for a doctorate degree.

Reference: Positivist Approach to Empirical Research - Dan Remenyi - Chapter Summary
https://phd-research-methodology.blogspot.com/2013/06/the-positivist-approach-to-empirical.html

Books

Glaser, Barney G & Strauss, Anselm L., 1967. The Discovery of Grounded Theory: Strategies for Qualitative Research, Chicago, Aldine Publishing Company - Brief Summaries of the chapters
http://faculty.babson.edu/krollag/org_site/craft_articles/glaser_strauss.html


Glaser and Strauss - Grounded Theory - Chapter 2 - Generating Theory - Quotations and Summary

Papers on the Method

Guiding the Use of Grounded Theory in Doctoral Studies – An Example from the Australian Film Industry
International Journal of Doctoral Studies,  Volume 6, 2011

The place of the literature review in grounded theory research
Ciarán Dunne
International Journal of Social Research Methodology
Vol. 14, No. 2, March 2011, 111–124

Thomas, G. & James, D. (2006) ―Re-inventing grounded theory: some questions about theory, ground and discovery‖ British Educational Research Journal, 32, 6, 767–795.
http://eprints.bham.ac.uk/501/2/Thomas_BriEdResJ_2006.pdf

Remodeling Grounded Theory
Barney G. Glaser with the assistance of Judith Holton
Volume 5, No. 2, Art. 4 – May 2004
http://www.qualitative-research.net/index.php/fqs/article/view/607/1315

Conceptualization: On Theory and Theorizing Using Grounded Theory
Barney G. Glaser, PhD, Hon PhD, The Grounded Theory Institute.
International Journal of Qualitative Methods 1 (2) Spring 2002
https://sites.ualberta.ca/~iiqm/backissues/1_2Final/pdf/glaser.pdf

Papers and Dissertations Using Grounded Theory

Leadership under Severe Stress:
A Grounded Theory Study
Gerry Larsson, Ann Johansson, Tina Jansson, Gunilla Grönlund
http://www.au.af.mil/au/awc/awcgate/au-24/larsson2.pdf


Updated on 18 December 2019, 2 September 2013

Qualitative Analysis of Content - Introduction

Introduction

Qualitative content analysis has been defined as:

• “a research method for the subjective interpretation of the content of text data through the systematic classification process of coding and identifying themes or patterns” (Hsieh & Shannon, 2005, p.1278),

• “an approach of empirical, methodological controlled analysis of texts within their context of communication, following content analytic rules and step by step models, without rash quantification” (Mayring, 2000, p.2), and

• “any qualitative data reduction and sense-making effort that takes a volume of qualitative material and attempts to identify core consistencies and meanings”

(Patton, 2002, p.453).

These three definitions illustrate that qualitative content analysis emphasizes an integrated view of speech/texts and their specific contexts. Qualitative content analysis examines meanings, themes and patterns that may be manifest or latent in a particular text. It allows researchers to understand social reality in a subjective but scientific manner.

Qualitative content analysis was developed primarily in anthropology, qualitative sociology, and psychology, in order to explore the meanings underlying physical messages.Qualitative content analysis is mainly inductive, grounding the examination of topics and themes, as  well as the inferences drawn from them, in the data. In some cases, qualitative content analysis attempts to generate theory. Samples for qualitative content analysis  usually consist of purposively selected texts which can inform the research questions  The qualitative approach usually produces descriptions or typologies, along with expressions from subjects reflecting how they view the social world. By this means, the perspectives of the producers of the text can be better understood by the investigator as well as the readers of the study’s results (Berg, 2001).  Qualitative content analysis pays attention to unique themes that illustrate the range of the meanings of the phenomenon rather than the statistical significance of the occurrence of particular texts or concepts.

In real research work, the two approaches are not mutually exclusive and can be used in combination. As suggested by Smith, “qualitative analysis deals with the forms and antecedent-consequent patterns of form, while quantitative analysis deals with duration and frequency of form”(Smith, 1975, p.218). Weber (1990) also pointed out that the best content-analytic studies use both qualitative and quantitative operations.

Qualitative content analysis involves a process designed to condense raw data into categories or themes based on valid inference and interpretation. This process uses inductive reasoning, by which themes and categories emerge from the data through the researcher’s careful examination and constant comparison.

Hsieh and Shannon (2005) discussed three approaches to qualitative content analysis, based on the degree of involvement of inductive reasoning. The first is conventional qualitative content analysis, in which coding categories are derived directly  and inductively from the raw data. This is the approach used for grounded theory development. The second approach is directed content analysis, in which initial coding starts with a theory or relevant research findings. Then, during data analysis, the researchers immerse themselves in the data and allow themes to emerge from the data. The purpose of this approach usually is to validate or extend a conceptual framework or theory. The third approach is summative content analysis, which starts with the counting of words or manifest content, then extends the analysis to include latent meanings and themes. This approach seems quantitative in the early stages, but its goal is to explore the usage of the words/indicators in an inductive manner.

Source
Qualitative Analysis of Content by Yan Zhang and Barbara M. Wildemuth


Content Analysis

Types of Coding

Five major types:

Theoretical coding
Open coding
Axial coding
Selective coding
Thematic coding


Theoretical coding is the procedure for analyzing data which have been collected in order to develop a grounded theory.

Open coding is designed to express data in the form of initial concepts.

Axial coding follows open coding as the next step to refine and differentiate the codes resulting from open coding.   Axial coding is the process of relating subcategories to a category.

Selective coding continues axial coding at yet a higher level of abstraction. The aim of this step is to elaborate the core category around which the other categories can be grouped and by which they are integrated.

Thematic coding was initially developed by Strauss (1987) and elaborated by Boyatzis (1988). Thematic coding can be performed inductively or deductively, Thematic coding makes distinction between manifest(themes directly observable in the information) and latent coding (themes underlying the phenomenon).

Source: Qualitative Research in the study of Leadership by Karin Klenke, 2 edition, Emerald Group Publishing Limited, 2016



http://groundedtheoryreview.com/2009/11/30/theoretical-coding-in-grounded-theory-methodology/


Updated on 17 December 2019, 5 January 2014

Naturalistic Philosophy - Humanistic Philosophy

https://plato.stanford.edu/entries/naturalism/

https://plato.stanford.edu/entries/naturalism-india/


https://rationalwiki.org/wiki/Philosophical_naturalism


https://www.philosophybasics.com/branch_naturalism.html



https://americanhumanist.org/what-is-humanism/humanist-philosophy-perspective/

https://www.igi-global.com/dictionary/curriculum-development-adult-learners-career/13432


The Philosophy of Humanism - Book
https://www.corliss-lamont.org/philos8.pdf


Humanistic Philosophy - Book

https://www.academia.edu/35577183/HUMANISTIC_PHILOSOPHY_Humanistic_and_Pro-Humanistic_Ideas_Values_Orientations_Movements_Methods_and_Representatives_in_Philosophy_Science_Society_and_Social_Practices

Humanistic Philosophy of Human Sciences

https://www.jstor.org/stable/1049485?seq=1#metadata_info_tab_contents