scholarly journals Industry 4.0: defining the research agenda

2019 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Amaya Erro-Garcés
Keyword(s):  
Research Agenda ◽  
Industry 4.0 ◽  
Manufacturing Sector ◽  
Grey Literature ◽  
Future Research ◽  
Content Type ◽  
Research Areas ◽  
The Subject ◽  
Smart Industry ◽  
Definition Of

Purpose Industry 4.0 implies that global challenges exist within the manufacturing sector. Both theoretical and empirical research has been developed to support these transformations and assist companies in the process of changing. The purpose of this paper is to gather previous articles through an updated review and defines a research agenda for future investigation based on the most recent studies published in the field. Design/methodology/approach Key articles on the subject are analysed. The articles were published in 39 journals from which 107 papers dating from 2005 to 2018 have been selected. Findings The main findings imply the definition of a research agenda where: a common terminology should be created; the levels of implementation of Industry 4.0 should be defined; the stages of the development of Industry 4.0 should be identified; a lean approach for this industry is defined and the implications of Industry 4.0 in either a sustainable or circular economy should be understood; the consequences of human resources should be analysed; and the effects of the smart factory in the organisation are the areas identified and studied in the mentioned research agenda. Research limitations/implications This review has some limitations. First, a number of grey literature, such as reports from non-governmental organisations and front-line practitioners’ reflections, were not included. Second, only research studies in English and Spanish were reviewed. Practical implications This review helps practitioners in their implementation of Industry 4.0. Moreover, the identified future research areas may help to define priorities in this implementation. Originality/value After examining previous research, this paper proposes a research agenda covering issues about Industry 4.0. This research agenda should guide future investigations in the smart industry.

Insights from corporate social innovation: a research agenda

2020 ◽  
Vol 16 (3) ◽  
pp. 317-338 ◽  
Author(s):  
Sabrina Tabares
Keyword(s):  
Systematic Review ◽  
Research Agenda ◽  
Social Innovation ◽  
Grey Literature ◽  
Research Field ◽  
The Body ◽  
Content Type ◽  
Definition Of ◽  
Corporate Social Innovation ◽  
Corporate Social

Purpose The purpose of this study is to analyse the contributions, major discussions and trends in the literature driving the research agenda in corporate social innovation (CSI). This is done through a systematic review on CSI publications in an open time span. Salient themes and emerging research topics in this literature, as well as research questions and limitations, are identified, culminating in a discussion of what is next for CSI research. Design/methodology/approach A systematic review was undertaken from academic and grey literature. Results were analysed following a bibliometric and interpretative content analysis. Findings The study provides novel insights on CSI research by drawing attention to discussions around the consensus on a definition of CSI, its disciplinary origins and the denominations referring to this field. Although CSI struggles to gain independence as a research field, the evidence shows that CSI is a cross-disciplinary concept nourished by multiple disciplines. Research limitations/implications Analysis in this paper has implications for research by highlighting the state of scholarship on CSI. Given the use of multiple denominations of CSI, several studies using low diffused denominations could be discarded. Originality/value This research contributes to the body of knowledge in the field of CSI by bringing clarity to former discussions and by suggesting how the field can move forward to a more advanced and mature state in research.

Defining the big social data paradigm through a systematic literature review approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gianluca Solazzo ◽  
Gianluca Elia ◽  
Giuseppina Passiante
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Research Agenda ◽  
Web Of Science ◽  
Future Research ◽  
Content Type ◽  
Definition Of ◽  
Practical Implications

Purpose This study aims to investigate the Big Social Data (BSD) paradigm, which still lacks a clear and shared definition, and causes a lack of clarity and understanding about its beneficial opportunities for practitioners. In the knowledge management (KM) domain, a clear characterization of the BSD paradigm can lead to more effective and efficient KM strategies, processes and systems that leverage a huge amount of structured and unstructured data sources. Design/methodology/approach The study adopts a systematic literature review (SLR) methodology based on a mixed analysis approach (unsupervised machine learning and human-based) applied to 199 research articles on BSD topics extracted from Scopus and Web of Science. In particular, machine learning processing has been implemented by using topic extraction and hierarchical clustering techniques. Findings The paper provides a threefold contribution: a conceptualization and a consensual definition of the BSD paradigm through the identification of four key conceptual pillars (i.e. sources, properties, technology and value exploitation); a characterization of the taxonomy of BSD data type that extends previous works on this topic; a research agenda for future research studies on BSD and its applications along with a KM perspective. Research limitations/implications The main limits of the research rely on the list of articles considered for the literature review that could be enlarged by considering further sources (in addition to Scopus and Web of Science) and/or further languages (in addition to English) and/or further years (the review considers papers published until 2018). Research implications concern the development of a research agenda organized along with five thematic issues, which can feed future research to deepen the paradigm of BSD and explore linkages with the KM field. Practical implications Practical implications concern the usage of the proposed definition of BSD to purposefully design applications and services based on BSD in knowledge-intensive domains to generate value for citizens, individuals, companies and territories. Originality/value The original contribution concerns the definition of the big data social paradigm built through an SLR the combines machine learning processing and human-based processing. Moreover, the research agenda deriving from the study contributes to investigate the BSD paradigm in the wider domain of KM.

Digital transformation success under Industry 4.0: a strategic guideline for manufacturing SMEs

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Morteza Ghobakhloo ◽  
Mohammad Iranmanesh
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Sector ◽  
Transformation Process ◽  
Digital Transformation ◽  
External Support ◽  
Future Research ◽  
Interpretive Structural Modeling ◽  
Content Type ◽  
Exciting Opportunity ◽  
Base Matrix

PurposeThe digital transformation under Industry 4.0 is complex and resource-intensive, making a strategic digitalization guideline vital to small and medium-sized enterprises' success in the Industry 4.0 transition. The present study aims to provide manufacturing small and medium-sized enterprises (SMEs) with a guideline for digital transformation success under Industry 4.0.Design/methodology/approachThe study first performed a content-centric literature review to identify digital transformation success determinants. The study further implemented interpretive structural modeling to extract the order at which the success determinants should be present to facilitate the SMEs’ digital transformation success optimally. The interpretive model and interpretive logic knowledge base matrix were also used for developing the digital transformation guideline.FindingsEleven success determinants are vital to SMEs’ digital transformation efforts. For example, results revealed that external support for digitalization is the first step in ensuring digital transformation success among SMEs, while operations technology readiness is the most inaccessible success determinant.Research limitations/implicationsThe study highlights the degree of importance of the 11 success determinants identified, which magnifies each determinant's strategic priority based on its driving power and dependence power. Theorizing the dependent variable of “digital transformation success” and quantitatively measuring the extent to which each success determinant contributes to explaining “digital transformation success” offers an exciting opportunity for future research.Practical implicationsDigital transformation success phenomenon within the Industry 4.0 context is significantly different from the digitalization success concept within the traditional literature. The digital transformation under Industry 4.0 is immensely resource-intensive and complex. Smaller manufacturers must have specific capabilities such as change management and digitalization strategic planning capability to reach a certain degree of information, digital, operations and cyber maturity.Originality/valueThe digital transformation success guide developed in the study describes each success determinants' functionality in relation to other determinants and explains how they might contribute to the digital transformation success within the manufacturing sector. This guide enables smaller manufacturers to better understand the concept of manufacturing digital transformation under Industry 4.0 and devise robust strategies to steer their digital transformation process effectively.

scholarly journals Defining logistics preparedness: a framework and research agenda

2016 ◽  
Vol 6 (3) ◽  
pp. 372-398 ◽  
Author(s):  
Marianne Jahre ◽  
Ala Pazirandeh ◽  
Luk Van Wassenhove
Keyword(s):  
Research Agenda ◽  
Academic Research ◽  
Secondary Data ◽  
Humanitarian Logistics ◽  
Future Research ◽  
Content Type ◽  
Common Definition ◽  
Future Research Agenda ◽  
Public Data ◽  
Definition Of

Purpose The purpose of this paper is to contribute to a more complete understanding of logistics preparedness. By comparing extant research in preparedness and logistics with findings from empirical analysis of secondary data, the authors develop a definition of and framework for logistics preparedness, along with suggestions for future research agenda. Design/methodology/approach The authors link the way in which humanitarian organizations define and aim to achieve logistics preparedness with extant academic research. The authors critically analyze public data from 13 organizations that are active in disaster relief and review papers on logistics preparedness and humanitarian logistics. Findings The authors found that, despite the increased attention, there is no unified understanding across organizations about what constitutes logistics preparedness and how it can contribute to improvements in operations. Based on the review of the academic literature, the authors found that the same is true for humanitarian logistics research. The lack of a common understanding has resulted in low visibility of efforts and lack of knowledge on logistics preparedness. Research limitations/implications On the basis of extant research and practice, the authors suggest a definition of and framework for logistics preparedness with related suggestions for future studies. Practical implications Findings can help the humanitarian community gain a better understanding of their efforts related to developing logistics preparedness and can provide a better basis for communicating the need for, and results from, funding in preparedness. Social implications Results can support improvements in humanitarian supply chains, thereby providing affected people with rapid, cost-efficient, and better-adapted responses. Originality/value The findings contribute to humanitarian logistics literature, first by identifying the issues related to the lack of a common definition. Second, the authors extend the understanding of what constitutes logistics preparedness by proposing an operationalized framework and definition. Finally, the authors add to the literature by discussing what future topics and types of research may be required.

Family firms and collaborative innovation: present debates and future research

2018 ◽  
Vol 21 (2) ◽  
pp. 334-358 ◽  
Author(s):  
Barbara Bigliardi ◽  
Francesco Galati
Keyword(s):  
Systematic Review ◽  
Research Agenda ◽  
Family Firms ◽  
Future Research ◽  
Content Type ◽  
Factors Affecting ◽  
Future Research Agenda ◽  
Collaborative Innovation ◽  
Relevant Topic ◽  
Definition Of

Purpose The purpose of this paper is threefold: first, to identify the unique characteristics of family firms in terms of the ability to manage and the willingness to engage in collaborative innovation; second, to investigate the existence of contingent factors affecting the heterogeneity of family firms’ behavior regarding these dimensions; and third, to propose a future research agenda. Design/methodology/approach This study consists of a systematic literature review. Findings Based on the results of a systematic review, the authors explain why family firms have a different behavior in terms of collaborative innovation if compared to the non-family counterparts and, following the contingent-based perspective, the authors also explain how different contingent factors can contribute to cause the heterogeneity of family firms’ behavior when facing collaborative innovation. Finally, the authors present a research agenda aimed at stimulating and guiding future research. Research limitations/implications The main limitation of the review is the wide definition of collaborative innovation provided at the beginning of the manuscript, in the introduction. In fact, with the aim of including all the studies dealing with collaborative innovation in the family firms’ context, the authors adopt a broad definition of external collaborative innovation that encompasses each process by which organizations work together to achieve an innovation outcome. Originality/value To the knowledge, this is the first systematic review addressing this relevant topic and proposing a future research agenda. The authors believe it could represent an important guide (but also a stimulus) for scholars interesting in the topic.

A systematic review of responsiveness to develop future research agenda: a TCCM and bibliometric analysis

2020 ◽  
Vol 27 (9) ◽  
pp. 2649-2677
Author(s):  
Deepika Sharma ◽  
Rashi Taggar ◽  
Sunali Bindra ◽  
Sanjay Dhir
Keyword(s):  
Research Agenda ◽  
Selection Criteria ◽  
Design Methodology ◽  
Manufacturing Industry ◽  
Web Of Science ◽  
Future Research ◽  
Content Type ◽  
Future Research Agenda ◽  
Factors Influencing ◽  
The Subject

PurposeThis paper aims to epistemologically extend and explore the present theories from prior research conducted in the area of responsiveness. Furthermore, it determines to benchmark the prominent theories, characteristics, context and methodologies (TCCM) used in the domain since its inception to advance the science and practice of marketing and logistics discipline.Design/methodology/approachA seven-step methodology (SSM) has been introduced to create a comprehensive dataset. Based upon the selection criteria of high-ranked journals and language, the research studies have been retrieved from Scopus, Web of Science, Business Source Complete and journal homepage to avoid the error of exclusion. Moreover, the dataset has been compiled using manual and electronic searches without any limitation of time.FindingsThe search for a suitable dataset retrieved 642 documents by identifying “1969” as the beginning year of research in the subject domain. The analysis found that responsiveness has been prominently studied in the manufacturing industry. The results also advocate responsiveness as the vital antecedent to performance and satisfaction. Frameworks have been proposed with significant propositions for future empirical testing and theory inventiveness by researchers.Originality/valueThe study pioneers its utility for retailers to recognize the firms' inherent abilities and strengths, which can be promoted to create responsiveness more than ever. The analysis results can act as the compelling force to understand the driving power of various factors influencing responsiveness.

Analysis and synthesis of Industry 4.0 research landscape

2019 ◽  
Vol 31 (1) ◽  
pp. 31-51 ◽  
Author(s):  
Aniruddha Anil Wagire ◽  
A.P.S. Rathore ◽  
Rakesh Jain
Keyword(s):  
Industry 4.0 ◽  
English Language ◽  
Semantic Analysis ◽  
Research Work ◽  
Academic Community ◽  
Future Research ◽  
Data Set ◽  
Content Type ◽  
Research Areas ◽  
Research Themes

PurposeIn recent years, Industry 4.0 has received immense attention from academic community, practitioners and the governments across nations resulting in explosive growth in the publication of articles, thereby making it imperative to reveal and discern the core research areas and research themes of Industry 4.0 extant literature. The purpose of this paper is to discuss research dynamics and to propose a taxonomy of Industry 4.0 research landscape along with future research directions.Design/methodology/approachA data-driven text mining approach, Latent Semantic Analysis (LSA), is used to review and extract knowledge from the large corpus of the 503 abstracts of academic papers published in various journals and conference proceedings. The adopted technique extracts several latent factors that characterise the emerging pattern of research. The cross-loading analysis of high-loaded papers is performed to identify the semantic link between research areas and themes.FindingsLSA results uncover 13 principal research areas and 100 research themes. The study discovers “smart factory” and “new business model” as dominant research areas. A taxonomy is developed which contains five topical areas of Industry 4.0 field.Research limitations/implicationsThe data set developed is based on systematic article refining process which includes the keywords search in selected electronic databases and articles limited to English language only. So, there is a possibility that other related work may not be captured in the data set which may be published in other than examined databases and are in non-English language.Originality/valueTo the best of the authors’ knowledge, this study is the first of its kind that has used the LSA technique to reveal research trends in Industry 4.0 domain. This review will be beneficial to scholars and practitioners to understand the diversity and to draw a roadmap of Industry 4.0 research. The taxonomy and outlined future research agenda could help the practitioners and academicians to position their research work.

Sustainable manufacturing and industry 4.0: what we know and what we don't

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rohit Sharma ◽  
Charbel José Chiappetta Jabbour ◽  
Ana Beatriz Lopes de Sousa Jabbour
Keyword(s):  
Network Analysis ◽  
Industry 4.0 ◽  
Industrial Revolution ◽  
Manufacturing Sector ◽  
Sustainable Manufacturing ◽  
Research Field ◽  
Future Research ◽  
Sustainable Operations ◽  
Content Type ◽  
Business Entities

PurposeThe emergence the fourth industrial revolution, known as well as industry 4.0, and its applications in the manufacturing sector ushered a new era for the business entities. It not only promises enhancement in operational efficiency but also magnify sustainable operations practices. This current paper provides a thorough bibliometric and network analysis of more than 600 articles highlighting the benefits in favor of the sustainability dimension in the industry 4.0 paradigm.Design/methodology/approachThe analysis begins by identifying over 1,000 published articles in Scopus, which were then refined to works of proven influence and those authored by influential researchers. Using rigorous bibliometric software, established and emergent research clusters were identified for intellectual network analysis, identification of key research topics, interrelations and collaboration patterns.FindingsThis bibliometric analysis of the field helps graphically to illustrate the publications evolution over time and identify areas of current research interests and potential directions for future research. The findings provide a robust roadmap for mapping the research territory in the field of industry 4.0 and sustainability.Originality/valueAs the literature on sustainability and industry 4.0 expands, reviews capable of systematizing the main trends and topics of this research field are relevant.

scholarly journals Megaprojects redefined – complexity vs cost and social imperatives

2018 ◽  
Vol 11 (1) ◽  
pp. 7-34 ◽  
Author(s):  
Alexandra Pitsis ◽  
Stewart Clegg ◽  
Daphne Freeder ◽  
Shankar Sankaran ◽  
Stephen Burdon
Keyword(s):  
Case Analysis ◽  
Future Research ◽  
Complex Matrix ◽  
Content Type ◽  
Contractual Arrangements ◽  
Research Areas ◽  
Organizational Relations ◽  
Definition Of ◽  
Practical Implications ◽  
Broad Overview

Purpose The purpose of this paper is to provide a brief overview from the literature on how best to define megaprojects in contemporary contexts. There is a need for a definition that encompasses a complex matrix of characteristics, inclusive of positive and negative aspects, which are not necessarily industry or sector specific. Whilst megaprojects have often been described and defined in terms of cost, they are more accurately delineated by their convolutions. Intricacies arise from political intrigues surrounding funding of such projects and managing and governing complex social and organizational relations. Points for future research are also identified. Design/methodology/approach An analysis of international megaproject literature over the past five years combined with seminal works was undertaken, drawing on the broad literature of project and program management combined with elements of organizational theory. Whilst some examples are cited, in-depth case analysis has not been covered. Findings Albeit that the scale of some megaprojects is comparable to national GDPs, seven more characteristics beyond size have been identified, which distinguish megaprojects from large projects. These include: reach; duration; risks and uncertainties; widely disparate actors; areas of controversy such as dispute resolution; and legal and regulatory issues. Research limitations/implications The paper takes a broad overview and whilst some examples are cited, in-depth case analysis has not been covered. The overview does however provide a good synopsis of the future research areas that warrant exploration. Practical implications The paper identifies a range of analytical areas for major future research including further exploration of institutional analysis. Areas for further analysis include stakeholder issues; collaboration and understanding between technical and business personnel and reforming notions of procurement and contractual arrangements. Social implications Rigorous stakeholder engagement is critical for success in megaprojects, and collaborative learnings need to be exchanged. The longer term social and economic impacts need to be viewed as an imperative rather than a hindrance to the planning and execution of megaprojects and complexity rather than cost more aptly defines megaprojects. Originality/value The paper moves the definition of megaprojects to beyond measurement on the basis of cost to complexity and social and economic variables.

The impacts of Industry 4.0: a descriptive survey in the Italian manufacturing sector

2019 ◽  
Vol 31 (5) ◽  
pp. 1085-1115 ◽  
Author(s):  
Ting Zheng ◽  
Marco Ardolino ◽  
Andrea Bacchetti ◽  
Marco Perona ◽  
Massimo Zanardini
Keyword(s):  
Industry 4.0 ◽  
Manufacturing Sector ◽  
Future Research ◽  
Manufacturing Companies ◽  
New Paradigm ◽  
Content Type ◽  
Manufacturing Enterprises ◽  
Root Cause ◽  
Adoption Level ◽  
Descriptive Survey

Purpose The purpose of this paper is to investigate how much the Italian manufacturing companies are ready to be concretely involved in the so-called “Industry 4.0” (I4.0) journey. In particular, this paper focuses on analyzing the knowledge and adoption levels of specific I4.0 enabling technologies, also considering how organizations are involved and which are the main benefits and obstacles. Design/methodology/approach A descriptive survey has been carried out on a total of 103 respondents related to manufacturing companies of different sizes. Data collected were analyzed in order to answer five specific research questions. Findings The findings from the survey demonstrate that Italian manufacturing companies are in different positions in their journey toward the I4.0 paradigm, mainly depending on their size and informatization level. Furthermore, not all the business functions are adequately involved in this transformation and their awareness about this new paradigm seems quite low because of the absence of specific managerial roles to guide this revolution. Finally, there are strong differences concerning both benefits and obstacles related to the adoption of I4.0 paradigm, depending on the technology adoption level. Research limitations/implications Future research should focus on developing case studies about pilot I4.0 practitioners in order to understand the root cause of successful cases. Both managerial and practical references should be developed, helping Italian manufacturing enterprises to consolidate and strengthen their position in global competitive market. Finally, it would be interesting to carry out the same study in other countries in order to make comparisons and suitable benchmark analyses. Originality/value Despite scholars have debated about the adoption of technologies and the benefits related to the I4.0 paradigm, to the best of authors’ knowledge, only a few empirical surveys have been carried out until now on the adoption level of I4.0 principles in the manufacturing sector of a specific country.

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