Artificial intelligence in safety-critical systems: a systematic review

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yue Wang ◽  
Sai Ho Chung
Keyword(s):  
Artificial Intelligence ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Current Status ◽  
Critical Systems ◽  
Research Directions ◽  
Content Type ◽  
Critical Domain ◽  
Safety Critical ◽  
Safety Critical Systems

PurposeThis study is a systematic literature review of the application of artificial intelligence (AI) in safety-critical systems. The authors aim to present the current application status according to different AI techniques and propose some research directions and insights to promote its wider application.Design/methodology/approachA total of 92 articles were selected for this review through a systematic literature review along with a thematic analysis.FindingsThe literature is divided into three themes: interpretable method, explain model behavior and reinforcement of safe learning. Among AI techniques, the most widely used are Bayesian networks (BNs) and deep neural networks. In addition, given the huge potential in this field, four future research directions were also proposed.Practical implicationsThis study is of vital interest to industry practitioners and regulators in safety-critical domain, as it provided a clear picture of the current status and pointed out that some AI techniques have great application potential. For those that are inherently appropriate for use in safety-critical systems, regulators can conduct in-depth studies to validate and encourage their use in the industry.Originality/valueThis is the first review of the application of AI in safety-critical systems in the literature. It marks the first step toward advancing AI in safety-critical domain. The paper has potential values to promote the use of the term “safety-critical” and to improve the phenomenon of literature fragmentation.

Process improvement project failure: a systematic literature review and future research agenda

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiju Antony ◽  
Bart A. Lameijer ◽  
Hans P. Borgman ◽  
Kevin Linderman
Keyword(s):  
Literature Review ◽  
Process Improvement ◽  
Systematic Literature Review ◽  
Future Research ◽  
Research Directions ◽  
Improvement Project ◽  
Project Failure ◽  
Content Type ◽  
Future Research Directions ◽  
Research Propositions

Purpose Although scholars have considered the success factors of process improvement (PI) projects, limited research has considered the factors that influence failure. The purpose of this paper is to extend the understanding of PI project failure by systematically reviewing the research on generic project failure, and developing research propositions and future research directions specifically for PI projects. Design/methodology/approach A systematic literature review protocol resulted in a total of 97 research papers that are reviewed for contributions on project failure. Findings An inductive category formation process resulted in three categories of findings. The first category are the causes for project failure, the second category is about relatedness between failure factors and the third category is on failure mitigation strategies. For each category, propositions for future research on PI projects specifically are developed. Additional future research directions proposed lay in better understanding PI project failure as it unfolds (i.e. process studies vs cross-sectional), understanding PI project failure from a theoretical perspective and better understanding of PI project failure antecedents. Originality/value This paper takes a multi-disciplinary and project type approach, synthesizes the existing knowledge and reflects upon the developments in the field of research. Propositions and a framework for future research on PI project failure are presented.

Research in urban logistics: a systematic literature review

2016 ◽  
Vol 46 (10) ◽  
pp. 908-931 ◽  
Author(s):  
Alexandra Lagorio ◽  
Roberto Pinto ◽  
Ruggero Golini
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Citation Network ◽  
Research Area ◽  
Future Research ◽  
Research Directions ◽  
Content Type ◽  
Citation Network Analysis ◽  
Continuous Progress ◽  
Future Research Directions

Purpose The last decades have witnessed an increased interest in urban logistics originating from both the research and the practitioners’ communities. Sustainable freight transports today are on the political, social and technological agenda of many actors operating in urban contexts. Due to the extent of the covered areas and the continuous progress in many fields, the resulting body of research on urban logistics appears quite fragmented. From an engineering management perspective, the purpose of this paper is to present a systematic literature review (SLR) that aims to consolidate the knowledge on urban logistics, analyse the development of the discipline, and provide future research directions. Design/methodology/approach The paper discusses the main evidence emerging from a SLR on urban logistics. The corpus resulting from the SLR has been used to perform a citation network analysis and a main path analysis that together underpin the identification of the most investigated topics and methodologies in the field. Findings Through the analysis of a corpus of 104 articles, the most important research contributions on urban logistics that represent the structural backbone in the development of the research over time in the field are detected. Based on these findings, this work identifies and discusses three areas of potential interest for future research. Originality/value This paper presents an SLR related to a research area in which the literature is extremely fragmented. The results provide insights about the research path, current trends and future research directions in the field of urban logistics.

Green competencies: insights and recommendations from a systematic literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Clement Cabral ◽  
Rajib Lochan Dhar
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Thematic Analysis ◽  
Descriptive Analysis ◽  
Future Research ◽  
Research Directions ◽  
Content Type ◽  
Classification Framework ◽  
Future Research Directions ◽  
Research Gap

PurposeThis study conceptualises the construct – green competencies. The concept is in the niche stage and needs further elaboration. Hence, to address the research gap, this study follows the steps proposed by Tranfield et al. (2003). The major part of the study comprises descriptive analysis and thematic analysis. Descriptive analysis of the selected 66 articles was examined with the classification framework, which contains year-wise distribution, journal-wise distribution, the focus of the concept, the economic sector, and dimensions of sustainable development. The paper conducts a thematic analysis of the following research questions. What are the green competencies and their conceptual definition? What are their dimensions?Design/methodology/approachThis paper applies a systematic literature review of green competencies literature, extends the state-of-the-art using the natural resource-based view, and discusses future research directions for academicians and practitioners.FindingsIn recent years, there was considerable interest in green competencies (GC), as reflected in the surge of articles published in this genre. This paper asserts that green competencies are a multidimensional construct comprised of green knowledge, green skills, green abilities, green attitudes, green behaviours, and green awareness.Originality/valueDespite the significance of green competencies, there has been a dearth of study to define the constructs and identify the dimensions. Hence, this study addresses the literature gap by conceptualisation and discusses dimensions of the construct.

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.

Debunking the myth of industry 4.0 in health care: insights from a systematic literature review

2020 ◽  
Vol 32 (4) ◽  
pp. 849-868 ◽  
Author(s):  
Mauro Cavallone ◽  
Rocco Palumbo
Keyword(s):  
Artificial Intelligence ◽  
Health Care ◽  
Health Services ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Industry 4.0 ◽  
Services Quality ◽  
State Of The Art ◽  
The State ◽  
Content Type

PurposeIndustry 4.0, artificial intelligence and digitalization have got a momentum in health care. However, scholars and practitioners do not agree on their implications on health services' quality and effectiveness. The article aims at shedding light on the applications, aftermaths and drawbacks of industry 4.0 in health care, summarizing the state of the art.Design/methodology/approachA systematic literature review was undertaken. We arranged an ad hoc research design, which was tailored to the study purposes. Three citation databases were queried. We collected 1,194 scientific papers which were carefully considered for inclusion in this systematic literature review. After three rounds of analysis, 40 papers were taken into consideration.FindingsIndustry 4.0, artificial intelligence and digitalization are revolutionizing the design and the delivery of care. They are expected to enhance health services' quality and effectiveness, paving the way for more direct patient–provider relationships. In addition, they have been argued to allow a more appropriate use of available resources. There is a dark side of health care 4.0 involving both management and ethical issues.Research limitations/implicationsIndustry 4.0 in health care should not be conceived as a self-nourishing innovation; rather, it needs to be carefully steered at both the policy and management levels. On the one hand, comprehensive governance models are required to realize the full potential of health 4.0. On the other hand, the drawbacks of industry 4.0 should be timely recognized and thoroughly addressed.Originality/valueThe article contextualizes the state of the art of industry 4.0 in the health care context, providing some insights for further conceptual and empirical developments.

scholarly journals Lean for airport services: a systematic literature review and agenda for future research

2018 ◽  
Vol 35 (1) ◽  
pp. 34-49 ◽  
Author(s):  
Sigrid Syltevik ◽  
Stavros Karamperidis ◽  
Jiju Antony ◽  
Babak Taheri
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Resistance To Change ◽  
Service Industries ◽  
Current Status ◽  
Value Stream Mapping ◽  
Future Research ◽  
Lean Thinking ◽  
Content Type ◽  
Service Standards

Purpose The purpose of this paper is to present the key findings of a systematic literature review (SLR) on Lean for services and, in particular, airport services. Design/methodology/approach The authors have utilised an SLR methodology proposed by Denyer and Tranfield (2009). A total of 23 papers published in 18 scientific journals have been systematically reviewed for evaluating and establishing the current status of Lean for airport services. Findings It was observed that there are no journal publications on the use of Lean in UK airport services. Although value stream mapping has been widely accepted as a powerful Lean tool across many service organisations, its applications in airport services is in its early stages. One of the biggest challenges in the implementation of Lean for airport services is about maintaining the level of service standards. The most common barriers in the implementation of Lean for airport services may include: resistance to change, varied definitions of the term Lean for different people across the business and understanding the need for Lean in airport services as there is a misconception that Lean is confined to manufacturing. Research limitations/implications This paper seeks to contribute to and broaden the limited body of evidence of the applicability of Lean to airport services and identify areas for further research and review. Originality/value This paper makes an attempt to demonstrate the use of Lean thinking for service industries and, in particular, airport services. The authors have identified less than five papers on the use of Lean thinking in airport services and this paper sets the foundation for future research on the use of process excellence methodologies such as Lean. Moreover, the authors firmly believe that the results of this SLR can be extremely beneficial to many managers working in Airport Service contexts, irrespective of the country and culture of the organisation.

Artificial intelligence and big data in tourism: a systematic literature review

2020 ◽  
Vol 11 (2) ◽  
pp. 343-367 ◽  
Author(s):  
Dimitra Samara ◽  
Ioannis Magnisalis ◽  
Vassilios Peristeras
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Literature Review ◽  
Systematic Literature Review ◽  
New Technologies ◽  
Recent Literature ◽  
Content Type ◽  
Analysis Methodology ◽  
Tourism Sector

Purpose This paper aims to research, identify and discuss the benefits and overall role of big data and artificial intelligence (BDAI) in the tourism sector, as this is depicted in recent literature. Design/methodology/approach A systematic literature review was conducted under the McKinsey’s Global Institute (Talwar and Koury, 2017) methodological perspective that identifies the four ways (i.e. project, produce, promote and provide) in which BDAI creates value. The authors enhanced this analysis methodology by depicting relevant challenges as well. Findings The findings imply that BDAI create value for the tourism sector through appropriately identified disseminations. The benefits of adopting BDAI strategies include increased efficiency, productivity and profitability for tourism suppliers combined with an extremely rich and personalized experience for travellers. The authors conclude that challenges can be bypassed by adopting a BDAI strategy. Such an adoption will stand critical for the competitiveness and resilience of existing established and new players in the tourism sector. Originality/value Besides identifying the benefits that BDAI brings in the tourism sector, the research proposes a guidebook to overcome challenges when introducing such new technologies. The exploration of the BDAI literature brings important implication for managers, academicians and consumers. This is the first systematic review in an area and contributes to the broader e-commerce marketing, retailing and e-tourism research.

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