scholarly journals Causal Discovery in Manufacturing: A Structured Literature Review

2022 ◽  
Vol 6 (1) ◽  
pp. 10
Author(s):  
Matej Vuković ◽  
Stefan Thalmann
Keyword(s):  
Literature Review ◽  
Industry 4.0 ◽  
Theoretical Background ◽  
Causal Discovery ◽  
Comprehensive Overview ◽  
Implementation Challenges ◽  
Organization And Management ◽  
Statistical Dependency ◽  
Manufacturing Organization ◽  
Structured Literature Review

Industry 4.0 radically alters manufacturing organization and management, fostering collection and analysis of increasing amounts of data. Advanced data analytics, such as machine learning (ML), are essential for implementing Industry 4.0 and obtaining insights regarding production, better decision support, and enhanced manufacturing quality and sustainability. ML outperforms traditional approaches in many cases, but its complexity leads to unclear bases for decisions. Thus, acceptance of ML and, concomitantly, Industry 4.0, is hindered due to increasing requirements of fairness, accountability, and transparency, especially in sensitive-use cases. ML does not augment organizational knowledge, which is highly desired by manufacturing experts. Causal discovery promises a solution by providing insights on causal relationships that go beyond traditional ML’s statistical dependency. Causal discovery has a theoretical background and been successfully applied in medicine, genetics, and ecology. However, in manufacturing, only experimental and scattered applications are known; no comprehensive overview about how causal discovery can be applied in manufacturing is available. This paper investigates the state and development of research on causal discovery in manufacturing by focusing on motivations for application, common application scenarios and approaches, impacts, and implementation challenges. Based on the structured literature review, four core areas are identified, and a research agenda is proposed.

Industry 4.0 in the Context of the Triple Bottom Line of Sustainability

2020 ◽  
pp. 1-20
Author(s):  
Julian M. Müller
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Triple Bottom Line ◽  
Three Dimensions ◽  
Journal Articles ◽  
Bottom Line ◽  
Comprehensive Overview ◽  
Current State ◽  
Depth Analysis

Industry 4.0 and sustainability are trending topics in the industry and scientific research. However, there is currently no comparable study, which summarizes the impacts of Industry 4.0 on all three dimensions of the Triple Bottom Line at the same time. This chapter aims to present a comprehensive overview of Industry 4.0 in the context of the Triple Bottom Line of sustainability. For this reason, a systematic literature review is conducted to find out the current state of literature about this topic. The chapter presents a systematic literature review on 64 peer-reviewed journal articles, which have been published between 2014 and 2019. An in-depth analysis of the content as well as an analysis of the empirical methodologies are conducted. To structure the existing knowledge, a framework is developed, and the findings are categorized into ecological and social aspects. On this basis the content is evaluated to discuss key findings and relating interdependencies.

Industry 4.0 in the Context of the Triple Bottom Line of Sustainability

2021 ◽  
pp. 131-151
Author(s):  
Julian M. Müller
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Triple Bottom Line ◽  
Three Dimensions ◽  
Journal Articles ◽  
Bottom Line ◽  
Comprehensive Overview ◽  
Current State ◽  
Depth Analysis

Industry 4.0 and sustainability are trending topics in the industry and scientific research. However, there is currently no comparable study, which summarizes the impacts of Industry 4.0 on all three dimensions of the Triple Bottom Line at the same time. This chapter aims to present a comprehensive overview of Industry 4.0 in the context of the Triple Bottom Line of sustainability. For this reason, a systematic literature review is conducted to find out the current state of literature about this topic. The chapter presents a systematic literature review on 64 peer-reviewed journal articles, which have been published between 2014 and 2019. An in-depth analysis of the content as well as an analysis of the empirical methodologies are conducted. To structure the existing knowledge, a framework is developed, and the findings are categorized into ecological and social aspects. On this basis the content is evaluated to discuss key findings and relating interdependencies.

Poster child and guinea pig – insights from a structured literature review on Airbnb

2019 ◽  
Vol 31 (1) ◽  
pp. 427-473 ◽  
Author(s):  
David Dann ◽  
Timm Teubner ◽  
Christof Weinhardt
Keyword(s):  
Literature Review ◽  
Electronic Commerce ◽  
Common Ground ◽  
Field Experiments ◽  
Law And Economics ◽  
Future Research ◽  
Comprehensive Overview ◽  
Content Type ◽  
Tourism Information ◽  
Structured Literature Review

PurposeA growing body of research from various domains has investigated Airbnb, a two-sided market platform for peer-based accommodation sharing. The authors suggest that it is due time to take a step back and assess the current state of affairs. This paper aims to conflate and synthesize research on Airbnb.Design/methodology/approachTo facilitate research on Airbnb and its underlying principles in electronic commerce, the authors present a structured literature review on Airbnb.FindingsThe findings are based on 118 articles from the fields of tourism, information and management, law and economics between 2013 and 2018. Based on this broad basis, the authors find that: research on Airbnb is highly diverse in terms of domains, methods and scope; motives for using Airbnb are manifold (e.g. financial, social and environmental); trust and reputation are considered crucial by almost all scholars; the platform’s variety is reflected in prices; and the majority of work is based on surveys and empirical data while experiments are scarce.Practical implicationsBased on the present assessment of studied topics, domains, methods and combinations thereof, the authors suggest that research should move toward building atop of a common ground of data structures and vocabulary, and that attention should focus on the identified gaps and hitherto scarcely used combinations. The set of under-represented areas includes cross-cultural investigations, field experiments and audit studies, the consideration of dynamic processes (e.g. based on panel data), Airbnb’s “experiences” and automated pricing algorithms and the rating distribution’s skewness.Originality/valueThis study provides a comprehensive overview of work on the accommodation sharing platform Airbnb, to the best of the auhtors’ knowledge, representing the first systematic literature review. The authors hope that researchers and practitioners alike will find this review useful as a reference for future research on Airbnb and as a guide for the development of innovative applications based on the platform’s peculiarities and paradigms in electronic commerce practice. From a practical perspective, the general tenor suggests that hotel and tourism operators may benefit from: focusing on their core advantages over Airbnb and differentiating features and aligning their marketing communication with their users’ aspirations.

scholarly journals Value Modeling for Ecosystem Analysis

Computers ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 68 ◽  
Author(s):  
Alejandro Arreola González ◽  
Matthias Pfaff ◽  
Helmut Krcmar
Keyword(s):  
Literature Review ◽  
Value Creation ◽  
Comprehensive Overview ◽  
Business Innovation ◽  
Integrative Framework ◽  
Modeling Techniques ◽  
Limited Support ◽  
Value Modeling ◽  
Platform Ecosystems ◽  
Structured Literature Review

Scholars have proposed many approaches to represent and analyze value creation. Value creation in ecosystems such as platform ecosystems often relies on a specific structure of partner alignment. Value modeling techniques can improve the understanding of how ecosystem risks and non-generic complementarities determine value creation and the alignment structures required. First, we conceptualize ecosystem analysis as a tool for alignment in the context of business innovation. Then, we carry out a structured literature review to identify existing techniques, which could support ecosystem analysis. Further, we provide a comprehensive overview of the value modeling techniques and integrate our ecosystem analysis conceptualization with existing classification frameworks. This integrative framework allows researchers and scholars to identify techniques that suit specific needs in terms of internal alignment reach, tooling, innovation phase and ecosystem analysis. Our results show limited support for ecosystem analysis. Still we are able to identify techniques that can provide a useful conceptual or tooling basis to enable ecosystem analysis.

scholarly journals Organizational Commitment and Lean Sustainability: Literature Review and Directions for Future Research

2021 ◽  
Vol 13 (6) ◽  
pp. 3357 ◽  
Author(s):  
Amal Benkarim ◽  
Daniel Imbeau
Keyword(s):  
Organizational Commitment ◽  
Literature Review ◽  
Lean Manufacturing ◽  
Affective Commitment ◽  
Management Practices ◽  
Employee Commitment ◽  
Future Research ◽  
Comprehensive Overview ◽  
Narrative Literature Review ◽  
Key Aspects

The vast majority of works published on Lean focus on the evaluation of tools and/or the strategies needed for its implementation. Although many authors highlight the degree of employee commitment as one of the key aspects of Lean, what has gone largely unnoticed in the literature, is that few studies have examined in-depth the concept of organizational commitment in connection with Lean. With this narrative literature review article, our main objective is (1) to identify and analyze an extensive body of literature that addresses the Lean Manufacturing approach and how it relates to employee commitment, emphasizing affective commitment as the main type of organizational commitment positively associated with Lean, and (2) to highlight the management practices required to encourage this kind of commitment and promote the success and sustainability of Lean. This paper aims to provide a comprehensive overview that can help researchers and practitioners interested in Lean better understand the importance of employee commitment in this type of approach, and as well, to identify related research questions.

scholarly journals Transitioning of Steel Producers to the Steelworks 4.0 –Literature Review with Case Studies

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4109
Author(s):  
Bożena Gajdzik ◽  
Radosław Wolniak
Keyword(s):  
Literature Review ◽  
Case Studies ◽  
Steel Industry ◽  
Industry 4.0 ◽  
Strong Dependence ◽  
Industrial Robots ◽  
Basic Material ◽  
Sources Of Information ◽  
Important Place ◽  
Steel Mills

The publication presents a picture of modern steelworks that is evolving from steelworks 3.0 to steelworks 4.0. The paper was created on the basis of secondary sources of information (desk research). The entire publication concerns the emerging opportunities for the development of the steel producers to Industry 4.0 and the changes already implemented in the steel plants. The collected information shows the support environment for changes in the steel sector (EU programs), the levels of evolution of steel mills, along with the areas of change in the steel industry and implemented investment projects. The work consists of a theoretical part based on a literature review and a practical part based on case studies. The work ends with a discussion in which the staged and segmented nature of the changes introduced in the analyzed sector is emphasized. Based on the three case studies described in the paper, a comparative analysis was conducted between them. When we tried to compare methods used in the three analyzed steel producers (capital groups): ArcelorMittal, Thyssenkrupp, and Tata Steel Group, it can be seen that in all organizations, the main problem connected with steelworks 4.0 transition is the digitalization of all processes within an organization and in the entire supply chain. This is realized using various tools and methods but they are concentrated on using technologies and methods such as artificial intelligence, drones, virtual reality, full automatization, and industrial robots. The effects are connected to better relations with customers, which leads to an increase in customer satisfaction and the organizations’ profit. The steel industry will undergo further strong changes, bringing it closer to Industry 4.0 because it occupies an important place in the economies of many countries due to the strong dependence of steel producers on the markets of the recipients (steel consumers). Steel is the basic material needed to make many products, and its properties have been valued for centuries. In addition, steel mills with positive economic, social, and environmental aspects are part of the concept of sustainability for industries and economies.

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