Systematic literature review and case study of the 4th industrial revolution-related trade research

2020 ◽  
Vol 22 (2) ◽  
pp. 23-41
Author(s):  
Hohyung Lee
2020 ◽  
pp. 193896552097128
Author(s):  
Kadir Çakar ◽  
Şehmus Aykol

This systematic literature review aimed to investigate the use of case study method in hospitality and tourism research to increase the awareness about the use of case study as a research method. Data were collected ( n = 871) from 10 leading hospitality and tourism journals published between 1974 and 2020. A thematic analysis of the data was conducted using Leximancer as a computer-aided analysis software. The study findings reveal an overall mislabel and misuse of the case study method. Suggestions are provided to improve case study method applications and increase case study research for more theory development in hospitality and tourism research.


2020 ◽  
Vol 27 (8) ◽  
pp. 2435-2457 ◽  
Author(s):  
Ricardo Belinski ◽  
Adriana M.M. Peixe ◽  
Guilherme F. Frederico ◽  
Jose Arturo Garza-Reyes

PurposeIndustry 4.0 has been one of the most topics of interest by researches and practitioners in recent years. Then, researches which bring new insights related to the subjects linked to the Industry 4.0 become relevant to support Industry 4.0's initiatives as well as for the deployment of new research works. Considering “organizational learning” as one of the most crucial subjects in this new context, this article aims to identify dimensions present in the literature regarding the relation between organizational learning and Industry 4.0 seeking to clarify how learning can be understood into the context of the fourth industrial revolution. In addition, future research directions are presented as well.Design/methodology/approachThis study is based on a systematic literature review that covers Industry 4.0 and organizational learning based on publications made from 2012, when the topic of Industry 4.0 was coined in Germany, using data basis Web of Science and Google Scholar. Also, NVivo software was used in order to identify keywords and the respective dimensions and constructs found out on this research.FindingsNine dimensions were identified between organizational learning and Industry 4.0. These include management, Industry 4.0, general industry, technology, sustainability, application, interaction between industry and the academia, education and training and competency and skills. These dimensions may be viewed in three main constructs which are essentially in order to understand and manage learning in Industry 4.0's programs. They are: learning development, Industry 4.0 structure and technology Adoption.Research limitations/implicationsEven though there are relatively few publications that have studied the relationship between organizational learning and Industry 4.0, this article makes a material contribution to both the theory in relation to Industry 4.0 and the theory of learning - for its unprecedented nature, introducing the dimensions comprising this relation as well as possible future research directions encouraging empirical researches.Practical implicationsThis article identifies the thematic dimensions relative to Industry 4.0 and organizational learning. The understanding of this relation has a relevant contribution to professionals acting in the field of organizational learning and Industry 4.0 in the sense of affording an adequate deployment of these elements by organizations.Originality/valueThis article is unique for filling a gap in the academic literature in terms of understanding the relation between organizational learning and Industry 4.0. The article also provides future research directions on learning within the context of Industry 4.0.


Information ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 364
Author(s):  
Mohd Hizam-Hanafiah ◽  
Mansoor Ahmed Soomro ◽  
Nor Liza Abdullah

It is critical for organizations to self-assess their Industry 4.0 readiness to survive and thrive in the age of the Fourth Industrial Revolution. Thereon, conceptualization or development of an Industry 4.0 readiness model with the fundamental model dimensions is needed. This paper used a systematic literature review (SLR) methodology with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and content analysis strategy to review 97 papers in peer-reviewed academic journals and industry reports published from 2000 to 2019. The review identifies 30 Industry 4.0 readiness models with 158 unique model dimensions. Based on this review, there are two theoretical contributions. First, this paper proposes six dimensions (Technology, People, Strategy, Leadership, Process and Innovation) that can be considered as the most important dimensions for organizations. Second, this review reveals that 70 (44%) out of total 158 total unique dimensions on Industry 4.0 pertain to the assessment of technology alone. This establishes that organizations need to largely improve on their technology readiness, to strengthen their Industry 4.0 readiness. In summary, these six most common dimensions, and in particular, the dominance of the technology dimension provides a research agenda for future research on Industry 4.0 readiness.


2016 ◽  
Vol 33 (7) ◽  
pp. 1002-1018 ◽  
Author(s):  
Stephen Anthony ◽  
Jiju Antony

Purpose – The purpose of this paper is to demonstrate the ability to researchers of using design of experiments (DoE) as a structured and systematic approach to performing systematic literature reviews. The authors demonstrate a simple case study illustrating the application of DoE in executing a systematic literature review on two popular topics in higher education: academic leadership and Lean Six Sigma. Design/methodology/approach – The methodology involves the systematic literature review of linking academic leadership with terms such as Lean, Six Sigma, Total Quality Management, Maturity Model and Continuous Improvement. The main tool used to structure the systematic literature review is a Taguchi Orthogonal Array design, specifically an L16 grid and the method is verified by conducting another review, replacing the term academic leadership with simply leadership. Findings – The approach identified at first no research papers linking the terms; however, when academic leadership was replaced with university, 19 research papers where discovered. The verification exercise, linking just leadership with the other search string generated over 1,000 results – demonstrating that the tool can find large volumes of articles if they exist, the search was completed for a ten year time frame – 2004 to 2014. Research limitations/implications – The case study focussed on a field which is known to have little current research and the verification exercise deliberately targeted a known large body of research. The authors will continue to use the approach and refine the technique over time. Practical implications – This approach would help any researcher despite of their discipline to identify opportunities and gaps in the current literature. Originality/value – The paper shows how DoE can be used in an academic research-based process. No other literature review approach currently exists which uses Taguchi approach to DoE to filter the search criteria.


2020 ◽  
Vol 1 (1) ◽  
pp. 01-35
Author(s):  
Azim Azuan Osman ◽  
Abdul Aziz Othman ◽  
Mohd Kamarul Irwan Abdul Rahim

The purpose of this paper is to perform a systematic literature review (SLR) on lean manufacturing (LM) adoption in Malaysia while highlighting research trends and gaps from this literature. The SLR involved analysing 163 scholarly articles from international journals and conference proceedings published between the year 2005 to 2019. The articles are classified as literature review, conceptual paper, case study, and survey research. These articles were also grouped into nine meaningful research themes, named: (1) lean definitions, (2) sustaining lean adoption, (3) motivations to adopt lean, (4) lean benefits, (5) results from lean adoption, (6) lean implementation barriers, (7) lean success factors, (8) lean implementation/ assessment models, and (9) lean integration with other management practices. The review findings shall help scholars and practitioners to identify research opportunities, design their future studies and/or implementation strategies, accordingly.


2021 ◽  
Author(s):  
Gauri Malhar Bhandurge ◽  
Mrunmayi Shirish Bhide

Abstract Today, as we see a big chunk of the industries in various fields adapting Industry 4.0, a lot of us have started asking the question “what’s next?”, the next industrial revolution, Industry 5.0. Past revolutions have pointed out that new revolutions take place only to correct the anomalies of the existing industrial situations. Likewise, to generate further clarity and to understand the previous findings around smart factory, we conducted a systematic literature review. This research paper talks about the various walks of life that industry 5.0 has the capability to affect and make better. We have also attempted to list down a few factors that will be vital for bringing about the 5th industrial revolution. With the goal of a smart society, which will be an extension of the existing smart factory, we call this process of transformation, growth and development as ‘THE INDUSTRIAL UPCYCLING’. We are proposing a new terminology called IoE – Internet of Everything as an extension of IoT.


2021 ◽  
Vol 2 (1) ◽  
Author(s):  
M. Fadilurrahman ◽  
Ramadhani Ramadhani ◽  
Tahta Kurniawan ◽  
Misnasanti Misnasanti ◽  
Syahrial Shaddiq

Sign in / Sign up

Export Citation Format

Share Document