“…Everyone involved in the change must conclude that the change carries advantages (Pessot et al. , 2021; Benešová et al. , 2021).…”
Section: Findings and Discussionmentioning
confidence: 99%
“…While it remains essential to have a global strategic vision, all changes performed in an organisation must be incremental by the gradual introduction of individual parts. Everyone involved in the change must conclude that the change carries advantages (Pessot et al, 2021;Bene sov a et al, 2021). The degree of adaptability to change indicates organisation cultures that are open and flexible and more mature in Industry 4.0 (Chonsawat and Sopadang, 2021;Maier et al, 2020;Chaopaisarn and Woschank, 2021).…”
Section: Findings and Discussionmentioning
confidence: 99%
“…Other application domains include human resource management, maintenance management, environmental sustainability and data science (Reiman et al, 2021;Johannes et al, 2021;Bene sov a et al, 2021;G€ okalp et al, 2021). Results indicate that Industry 4.0 maturity modelling in construction or built environment research is significantly absent in the literature.…”
PurposeIndustry 4.0 is characterised by the exponential pace of technological innovations compelling organisations to transform or be displaced. Industry 4.0 transformation of construction enterprises lacks systematic guidance and notable earlier studies have utilised maturity models to map transformation of enterprises. This paper proposes a conceptual maturity model for construction enterprises for business scenarios leading to Industry 4.0.Design/methodology/approachThe requirements for designing maturity models, including comparison with existing models and scientifically documenting the design process, make Systematic Literature Reviews (SLR) appropriate. Two systematic literature reviews (SLRs) are conducted to shortlist a total of 95 papers, which are subjected to subsequent content analysis.FindingsThe first SLR identifies the following process categories as critical levers of industry 4.0 maturity; data management, people and culture, leadership and strategy, collaboration and communication, automation, innovation and change management. The second SLR ascertains that the existing maturity models in construction literature do not adequately correspond to Industry 4.0 business scenarios with limited emphasis on data management, automation, change management and innovation. The findings are assimilated to propose a conceptual Smart Modern Construction Enterprise Maturity Model (SMCeMM).Originality/valueThe paper systematises the transformation of construction enterprises in Industry 4.0 and leads to state-of-the-art development of Industry 4.0 and maturity model research in construction. The proposed conceptual model addressed both the demands of the construction industry as well as what is required to navigate Industry 4.0 better.
“…Everyone involved in the change must conclude that the change carries advantages (Pessot et al. , 2021; Benešová et al. , 2021).…”
Section: Findings and Discussionmentioning
confidence: 99%
“…While it remains essential to have a global strategic vision, all changes performed in an organisation must be incremental by the gradual introduction of individual parts. Everyone involved in the change must conclude that the change carries advantages (Pessot et al, 2021;Bene sov a et al, 2021). The degree of adaptability to change indicates organisation cultures that are open and flexible and more mature in Industry 4.0 (Chonsawat and Sopadang, 2021;Maier et al, 2020;Chaopaisarn and Woschank, 2021).…”
Section: Findings and Discussionmentioning
confidence: 99%
“…Other application domains include human resource management, maintenance management, environmental sustainability and data science (Reiman et al, 2021;Johannes et al, 2021;Bene sov a et al, 2021;G€ okalp et al, 2021). Results indicate that Industry 4.0 maturity modelling in construction or built environment research is significantly absent in the literature.…”
PurposeIndustry 4.0 is characterised by the exponential pace of technological innovations compelling organisations to transform or be displaced. Industry 4.0 transformation of construction enterprises lacks systematic guidance and notable earlier studies have utilised maturity models to map transformation of enterprises. This paper proposes a conceptual maturity model for construction enterprises for business scenarios leading to Industry 4.0.Design/methodology/approachThe requirements for designing maturity models, including comparison with existing models and scientifically documenting the design process, make Systematic Literature Reviews (SLR) appropriate. Two systematic literature reviews (SLRs) are conducted to shortlist a total of 95 papers, which are subjected to subsequent content analysis.FindingsThe first SLR identifies the following process categories as critical levers of industry 4.0 maturity; data management, people and culture, leadership and strategy, collaboration and communication, automation, innovation and change management. The second SLR ascertains that the existing maturity models in construction literature do not adequately correspond to Industry 4.0 business scenarios with limited emphasis on data management, automation, change management and innovation. The findings are assimilated to propose a conceptual Smart Modern Construction Enterprise Maturity Model (SMCeMM).Originality/valueThe paper systematises the transformation of construction enterprises in Industry 4.0 and leads to state-of-the-art development of Industry 4.0 and maturity model research in construction. The proposed conceptual model addressed both the demands of the construction industry as well as what is required to navigate Industry 4.0 better.
“…Fast responses to changes in customer demand require effective use of technological resources [73]. The implementation of Industry 4.0 requires the gradual introduction of new technologies or systems [40]. Optimizing service levels in Industry 4.0 requires new strategies, technologies, and information systems.…”
Despite growing interest in smart manufacturing, there is little information on how organizations can approach the alignment of strategic processes with Industry 4.0. This study seeks to fill this knowledge gap by developing a framework for the integration of Industry 4.0 techniques and artificial intelligence systems. This framework will serve as a conceptual guide in the digital transformation processes toward Industry 4.0. This study involved a systematic literature review of the important methodological proposals and identification of thematic axes, research topics, strategic objectives, challenges, drivers, technological trends, models, and design architectures. In total, 160 articles were selected (120 were published between 2017 and 2022). The results provide insights into the prospects for strategic alignment in the adoption of Industry 4.0. The conceptualization of the framework shows that Industry 4.0 needs strategic adjustments mainly in seven objectives (business model, change mindset, skills, human resources, service level, ecosystem, interconnection, and absorption capacity) derived from 10 thematic axes and 28 research topics. Understanding the strategic adoption of Industry 4.0 and artificial intelligence is vital for industrial organizations to stay competitive and relevant in a constantly evolving business landscape.
“…There are also other scales that measure business readiness and innovation readiness, e.g., [28]. Furthermore, Benešová, Basl, Tupa and Steiner [29] give an overview over a wide range of maturity scales. All these scales are rough measures on the status of a technology, innovation, or business.…”
Innovation has become increasingly important for most industries to cope with rapid technological changes as well as changing societal needs. Even though there are many sectors with specific needs when it comes to supporting innovation, the medical technology sector is facing several unique challenges that both increases the lead-time from idea to finished product and decreases the number of innovations that are developed. This paper presents a proposed innovation guide that has been developed and evaluated as a support for the innovation process within medical technology research. The guide takes the unique characteristics of the medical technology sector into account and serves as a usable guide for the innovator. The complete guide contains both a structure for the process and a usable web application to support the journey from idea to finished products and services. The paper also includes a new readiness level, Sect. 4.2 to provide support both when developing and determining the readiness for clinical implementation of a medical technology innovation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.