scholarly journals Industry 4.0 Technologies and Their Impact in Contemporary Logistics: A Systematic Literature Review

2021 ◽  
Vol 13 (21) ◽  
pp. 11643
Author(s):  
Orestis K. Efthymiou ◽  
Stavros T. Ponis
Keyword(s):  
Systematic Review ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Exclusion Process ◽  
High Potential ◽  
Future Research ◽  
Technological Developments ◽  
Research Findings ◽  
Research Questions

Even though the topic of Industry 4.0 in the last decade has attracted significant and multifarious attention from academics and practitioners, a structured and systematic review of Industry 4.0 in the context of contemporary logistics is currently lacking. This study attempted to address this shortcoming by performing a systematic review of the available literature of Industry 4.0 in the logistics context. To that end, and after a systematic inclusion/exclusion process, 65 carefully selected papers were addressed in the study. The results obtained from this study were illustrated and discussed in order to provide answers to two research questions pre-defined by the authors. In essence, this study identified emerging aspects and present trends in the area, addressed the main technological developments and evolution of Industry 4.0 and their impact for contemporary logistics, and finally pinpointed literature shortcomings and currently under-explored areas with a high potential for impactful future research. Findings of this review can hopefully be used as the basis for future research in the emerging Logistics 4.0 concept and related topics.

Application of semantic technologies in bibliographic databases

2019 ◽  
Vol 38 (1) ◽  
pp. 113-137
Author(s):  
Tsvetanka Georgieva-Trifonova ◽  
Kaloyan Zdravkov ◽  
Donika Valcheva
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Keyword Search ◽  
Bibliographic Databases ◽  
Future Research ◽  
Semantic Technologies ◽  
Scientific Review ◽  
Content Type ◽  
Research Questions

Purpose The purpose of this paper is to summarize the current state of the existing research on the application of semantic technologies in bibliographic databases by providing answers to a set of research questions resulting from a systematic literature review. Design/methodology/approach The present study consists of conducting a systematic literature review of research works related to the application of semantic technologies in bibliographic databases. A manual keyword search is performed in known academic databases. As a result, a total of 78 literature sources are identified as related to the topic and included in the review. From the selected literature sources, information is extracted, which is then summarized and analyzed according to previously defined research questions and finally reported. Besides, a framework is defined to classify literature sources found and collected as a result of the study. The main criteria, according to which the classification is performed, are the used semantic technology and the research problem for which semantic technologies are applied in bibliographic databases. The classification of the publications is verified by each author independently of others. Findings The conducted systematic scientific review establishes that the evolution of semantic technologies sets a period of increased interest in the researchers, as a result of which the advantages of using them for bibliographic descriptions are examined and practically confirmed. After defining semantic models for bibliographic descriptions and approaches to transform existing bibliographic data into their correspondence, the research interest is directed at their comparison, collation; enrichment to facilitate search and retrieval of useful information. Possible perspectives for future research are outlined, which mainly relate to the complete use of the created data sets and their transformation into knowledge repositories. Originality/value Despite the increasing importance of the semantic technologies in various areas, including the bibliographic databases, there is a lack of comprehensive literature review and classification of literature sources relevant to this topic. The detailed study proposed in the present paper supports introducing with the existing experience in the application of semantic technologies in bibliographic databases, as well as facilitates the discovery of trends and guidelines for future research.

scholarly journals KNOWLEDGE WASTE IN ORGANIZATIONS: A REVIEW OF PREVIOUS STUDIES

2015 ◽  
Vol 12 (1) ◽  
pp. 160 ◽  
Author(s):  
Helio Aisenberg Ferenhof ◽  
Susanne Durst ◽  
Paulo Mauricio Selig
Keyword(s):  
Systematic Review ◽  
Literature Review ◽  
Knowledge Base ◽  
Systematic Literature Review ◽  
Business Environment ◽  
Future Research ◽  
Competitive Pressure ◽  
Knowledge Conversion ◽  
Intensive Research ◽  
Body Of Knowledge

In this paper, we are interested in the knowledge that is “wasted” in organizations, that is existing relevant knowledge that is overlooked in the process of knowledge conversion. Given the competitive pressure firms are facing in today´s business environment, a waste of knowledge is not only costly but also dangerous. This means that we consider knowledge from a knowledge at risk perspective. Having this in mind, the purpose of this paper is to review research on knowledge waste in organizations to establish our current body of knowledge regarding this topic. The study consists of a systematic review of 51 peer-reviewed articles addressing knowledge waste in organizations. To the best of the authors’ knowledge, no systematic literature review on this topic has previously been published or presented. The topic seems to be a promising field for intensive research and offers a variety of future research avenues. In view of practitioners, the study´s finding may enable an increased awareness towards the areas where existing knowledge is at the mercy of “waste”. This can assist practitioners to better cope with risks related to this waste and, therefore, better exploit the (limited) knowledge base available.

scholarly journals A Systematic Review of the Influence of Internal Marketing on Service Innovation

2020 ◽  
Vol 13 (9) ◽  
pp. 207
Author(s):  
Soheila Raeisi ◽  
Nur Suhaili Ramli ◽  
Meng Lingjie
Keyword(s):  
Systematic Review ◽  
Organizational Learning ◽  
Literature Review ◽  
Thematic Analysis ◽  
Service Innovation ◽  
Internal Marketing ◽  
Future Research ◽  
Research Questions ◽  
The Relationship ◽  
Practical Implications

This paper aims aimed to present the trends of the literature review in internal marketing and service innovation between 1990 and 2016. The significant reason to conduct this research is that significant variables of internal marketing to link with service innovation are not clearly defined. This research yielded 22 systematic reviews of articles in the Scopus library and adopted a thematic analysis to analyze the data collected. This study provides provided answers to research questions by elaborating on overall trends, objectives, theoretical framework, methodologies, and potential variables that strongly connect between internal marketing and service innovation. While sample sizes are limited to this paper, it suggests suggested fruitful recommendations for future research to overcome this limitation. This research has had two practical implications for managers to redefine their roles and the relationship between members of the organization and to help managers and the firms to consider internal marketing efforts towards motivation, organizational culture, and organizational learning.

Organizational learning and Industry 4.0: findings from a systematic literature review and research agenda

2020 ◽  
Vol 27 (8) ◽  
pp. 2435-2457 ◽  
Author(s):  
Ricardo Belinski ◽  
Adriana M.M. Peixe ◽  
Guilherme F. Frederico ◽  
Jose Arturo Garza-Reyes
Keyword(s):  
Organizational Learning ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Future Research ◽  
Research Directions ◽  
Content Type ◽  
Future Research Directions ◽  
New Research

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.

scholarly journals Industry 4.0 Readiness Models: A Systematic Literature Review of Model Dimensions

Information ◽  
2020 ◽  
Vol 11 (7) ◽  
pp. 364
Author(s):  
Mohd Hizam-Hanafiah ◽  
Mansoor Ahmed Soomro ◽  
Nor Liza Abdullah
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Future Research ◽  
Technology Readiness ◽  
Leadership Process ◽  
Unique Model ◽  
Analysis Strategy ◽  
Meta Analyses

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.

scholarly journals Hospital Location Selection: A Systematic Literature Review on Methodologies and Applications

2021 ◽  
Vol 2021 ◽  
pp. 1-14
Author(s):  
Muhammet Gul ◽  
Ali Fuat Guneri
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Selection Criteria ◽  
Meta Analysis ◽  
Multicriteria Decision Making ◽  
Future Research ◽  
Location Selection ◽  
Research Questions ◽  
Creative Studies

The increased focus of people on the quality of health care in recent years has led hospital owners to develop strategies and policies to improve medical services through the establishment of new hospitals. For hospitals to be competitive, the hospitalʼs location and proximity to potential patients are considered crucial factors in establishing new hospitals. In this context, evaluating and selecting the most suitable hospital location to establish a new hospital from the multicriteria decision-making (MCDM) perspective is a priority for the entrepreneurs or government to gain a competitive advantage. Therefore, this study aims to present a systematic literature review of the hospital location selection problem considering the applied methods and application areas. The preferred reporting items for systematic review and meta-analysis statement (PRISMA) are used as a reference framework. Initially, known electronic databases (Web of science, IEEEXplore, Scopus, Science direct, and Google Scholar) were searched up to the early 2021. A number of 47 articles are selected and analyzed under this systematic framework based on inclusion-exclusion points. State-of-the-art developments in adopting MCDM methods and their fuzzy extensions are summarized. All the articles have been examined in a systematic taxonomy to find answers to six research questions (trend, country of origin, outlet journal, MCDM methods used, MCDM environment and criteria type, and decision criteria used). Results show that (1) AHP and GIS-based MCDM models are the most contributing approaches to the solution of this problem, (2) location selection criteria are mostly cost, demand, environment, population, government, competition in the market, and distance to some important places, (3) the fuzzy structure is also preferred in addition to the MCDM structure depending on the crisp data type, and (4) the location selection criteria are mostly considered subjective. We pay attention to promising directions that can dominate future research in this field from a methodological or applicability perspective. This study shows the current views and opportunities for researchers and practitioners and acts as a guide to encourage more creative studies in this field.

scholarly journals Microservice security: a systematic literature review

2022 ◽  
Vol 7 ◽  
pp. e779
Author(s):  
Davide Berardi ◽  
Saverio Giallorenzo ◽  
Jacopo Mauro ◽  
Andrea Melis ◽  
Fabrizio Montesi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Distributed Systems ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Widespread Adoption ◽  
Research Questions

Microservices is an emerging paradigm for developing distributed systems. With their widespread adoption, more and more work investigated the relation between microservices and security. Alas, the literature on this subject does not form a well-defined corpus: it is spread over many venues and composed of contributions mainly addressing specific scenarios or needs. In this work, we conduct a systematic review of the field, gathering 290 relevant publications—at the time of writing, the largest curated dataset on the topic. We analyse our dataset along two lines: (a) quantitatively, through publication metadata, which allows us to chart publication outlets, communities, approaches, and tackled issues; (b) qualitatively, through 20 research questions used to provide an aggregated overview of the literature and to spot gaps left open. We summarise our analyses in the conclusion in the form of a call for action to address the main open challenges.

scholarly journals Blockchain Applications in Education: A Systematic Literature Review

2021 ◽  
Vol 11 (24) ◽  
pp. 11811
Author(s):  
Christian Delgado-von-Eitzen ◽  
Luis Anido-Rifón ◽  
Manuel J. Fernández-Iglesias
Keyword(s):  
Systematic Review ◽  
Literature Review ◽  
Systematic Literature Review ◽  
State Of The Art ◽  
Current State ◽  
Research Questions ◽  
Educational Field ◽  
The Way

Blockchain is one of the latest technologies attracting increasing attention from different actors in diverse fields, including the educational sector. The objective of this study is to offer an overview of the current state of the art related to blockchain in education that may serve as a reference for future initiatives in this field. For this, a systematic review of reference journals was carried out. Eleven databases were systematically searched and eligible papers that focused on blockchain in education that made significant contributions, and not only generic statements about the topic, were selected. As a result, 28 articles were analyzed. Lack of precision, and selection and analysis bias were then minimized by involving three researchers. The analysis of the selected papers provided invaluable insight and answered the research questions posed about the current state of the application of blockchain in education, about which of its characteristics can benefit this sector, and about the challenges that must be addressed. Blockchain may become a relevant technology in the educational field, and therefore many proofs of concept are being developed. However, there are still some relevant technological, regulatory and academic issues to be addressed to pave the way for the mainstream adoption of this technology.

scholarly journals Data-Driven Approaches for Circular Economy in Manufacturing for Digital Technologies: A Review of Current Research and Proposed Framework

2018 ◽  
Author(s):  
Okechukwu Okorie ◽  
Konstantinos Salonitis ◽  
Fiona Charnley ◽  
Mariale Moreno ◽  
Christopher Turner ◽  
...  
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Circular Economy ◽  
Industry 4.0 ◽  
Review Paper ◽  
Digital Technologies ◽  
Data Driven ◽  
Empirical Literature ◽  
Future Research ◽  
Current Trends

The Circular Economy has been of growing significance within academic, policymaking and industry groups. Latest developments in the field of Circular Economy has led to an expansion of CE studies focused on interrogating CE as a paradigm, its relationship with sustainability and concepts and definitions of the Circular Economy. Research has also identified the significant potential of applying circular approaches to areas of the economy, including manufacturing and Industry 4.0, which, with data, is enabling latest the advances in digital technologies. This is the first review paper to integrate the fields of CE and digital technologies resulting in a framework which provides directions for policymakers and guidance for future research. To achieve this, we conduct a systematic literature review of the empirical literature related to digital technologies, industry 4.0 and circular approaches, from the point of the 9 Rs. The systematic literature review (SLR) is based on peer-reviewed articles published between 2000-2018. The findings reveal that while research on the circular economy has been on an annual rise, research on digital technologies enabled circular economy is still relatively an untouched area of research across all nine (9) circular approaches. As such this is an area rife for further research. This paper also presents illustrative charts and graphs to summarize the current trends in circular economy research in manufacturing. From this, a framework for future circular economy research for manufacturing for digital technologies is proposed.

scholarly journals Industry 4.0, Disaster Risk Management and Infrastructure Resilience: A Systematic Review and Bibliometric Analysis

Buildings ◽  
2021 ◽  
Vol 11 (9) ◽  
pp. 411
Author(s):  
Mahyar Habibi Rad ◽  
Mohammad Mojtahedi ◽  
Michael J. Ostwald
Keyword(s):  
Risk Management ◽  
Literature Review ◽  
Bibliometric Analysis ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Disaster Risk ◽  
Disaster Risk Management ◽  
Future Research ◽  
Research Activity ◽  
Resilient Infrastructure

The fourth industrial era, known as ‘Industry 4.0’ (I4.0), aided and abetted by the digital revolution, has attracted increasing attention among scholars and practitioners in the last decade. The adoption of I4.0 principles in Disaster Risk Management (DRM) research and associated industry practices is particularly notable, although its origins, impacts and potential are not well understood. In response to this knowledge gap, this paper conducts a systematic literature review and bibliometric analysis of the application and contribution of I4.0 in DRM. The systematic literature review identified 144 relevant articles and then employed descriptive and content analysis of a focused set of 70 articles published between 2011 and 2021. The results of this review trace the growing trend for adoption of I4.0 tools and techniques in disaster management, and in parallel their influence in resilient infrastructure and digital construction fields. The results are used to identify six dominant clusters of research activity: big data analytics, Internet of Things, prefabrication and modularization, robotics and cyber-physical systems. The research in each cluster is then mapped to the priorities of the Sendai framework for DRR, highlighting the ways it can support this international agenda. Finally, this paper identifies gaps within the literature and discusses possible future research directions for the combination of I4.0 and DRM.

Sign in / Sign up

Export Citation Format

Share Document