A Managerial Early Warning System at a Smart Factory: An Intuitive Decision‐making Perspective

Bertoncel, Tine; Erenda, Ivan; Bach, Mirjana Pejić; Roblek, Vasja; Meško, Maja

doi:10.1002/sres.2542

Cited by 25 publications

(6 citation statements)

References 53 publications

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“…Thus, it becomes important to prevent or reduce ignorance of potential low probability threats that can threaten the viability and sustainability of enterprise (Amoyette et al 2014). This can be expressed by the level of functional stupidity (Alvesson, Spicer 2012), which, together with awareness of fragilities, worldviews (paradigms, mental models) and trust is a determinant of the capacity to create a so-called Early Warning System (EWS), a kind of "smoke detector" that catches weak signals indicating a potential disaster (Bertoncel et al 2018). "Early warning systems serve as a key management tool for anticipating potential disasters or other negative events" (Trzeciak, Rivers 2003, cited in Bertoncel et al 2018.…”

Section: Theoretical Frameworkmentioning

confidence: 99%

The impact of teaching interventions in education for sustainable development – an experimental case study

Platje

Styś

Will

et al. 2022

CEREM

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Aim: Questionnaire research can be used as a teaching instrument and to measure the impacts of education for sustainable development. This paper presents a case study of a teaching intervention regarding students’ perception of operations and (supply) management fragilities, such as dependency on few customers or suppliers; difficult to find employees; and low probability, high impact events for business sustainability. The teaching intervention focused on side effects of innovations, leading to vulnerabilities that can threaten the existence of an enterprise. This research was carried out in the context of the capacity for creating an Early Warning System for small probability, high impact events. The following issues are addressed in the paper: 1). The impact of the teaching intervention on students’ perceptions; 2). Differences in perception between non-attending (N = 128) and attending students (pre-test N = 139; post-test N = 119). Design / Research methods: This paper discusses whether teaching interventions can influence the awareness of fragility issues as well as low probability, high impact events. The case-study is based on an experiment in a marketing course for management students of a large private business school in Wrocław (Poland) in April–May 2019. Before start of classes students filled out a questionnaire (Attending Students). A teaching intervention slide was used in every lecture. At the end of the course, all students (also the students absent during the first classes) filled out the repeat questionnaire. Statistical analysis was carried out whether there were differences between Attending Students filling out both questionnaires, and students only filling out the repeat questionnaire (Non Attending Students). Conclusions / findings: The findings show that students struggle to grasp the complexities and uncertainties surrounding sustainability and fragility issues in relation to the business context. The teaching interventions had limited impact on the ability of students to engage in these issues, albeit significant differences between attending and non-attending students were observed. A limitation of the results is that this study only concerned a case study of a specific group of students. An implication requiring deeper research is that while teachers can do in-depth exercises and provide lectures, a part of the students, being less motivated to obtain knowledge, is unlikely to grasp sustainability issues, when not included in assignments, examination preparation, or compulsory rather than elective courses. JEL: I21, O31, Q01

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Section: Theoretical Frameworkmentioning

confidence: 99%

The impact of teaching interventions in education for sustainable development – an experimental case study

Platje

Styś

Will

et al. 2022

CEREM

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“…Two types of webs are exemplified: operation networks to produce goods collaboratively (Chehbi-Gamoura et al, 2019;Ferreira et al, 2017), and supplying networks to install and customize equipment (Hasselblatt et al, 2018;Rashid et al, 2018). These networks increase geographical coverage and facilitate identification of emergent strategies (Bertoncel, Erenda, Bach, et al, 2018). However, lack of collaboration would prevent full use of network data (Chehbi-Gamoura et al, 2019).…”

Section: Business Modelsmentioning

confidence: 99%

“…According to Damanpour (1991), new processes and technologies are forms of innovation, generally targeting better performance. In 4IR manufactures, innovation is also connected to performance and value co-creation (Bertoncel, Erenda, Bach, et al, 2018;Briones-Peñalver et al, 2019;Lerch & Gotsch, 2015;Ooi et al, 2018;Sjödin, 2019;Synnes & Welo, 2016), prominently favoring intracompany (Qu et al, 2019), and interorganizational integration (Lerch & Gotsch, 2015;Yun & Liu, 2019). To supplement their capabilities, companies rely on partners (Briones-Peñalver et al, 2019;Synnes & Welo, 2016), and customers (Lerch & Gotsch, 2015).…”

Section: Innovationmentioning

confidence: 99%

“…Collaboration supports innovation in multidisciplinary industry 4.0 projects. While some discuss collaboration among manufactures (Bertoncel, Erenda, Bach, et al, 2018;Briones-Peñalver et al, 2019;Lerch & Gotsch, 2015), their relationship with other economy sectors to support innovation (Ho & O'Sullivan, 2017;Yun & Liu, 2019), others debate the collaborative dynamics of innovation teams and the role of manufacturing workers in industry 4.0 innovation (Hannola et al, 2018;Nikitina & Lapiņa, 2019;Ratzmann et al, 2018;Sjödin, 2019). Following, these three trends will be further discussed.…”

Section: Innovationmentioning

confidence: 99%

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Project capabilities in industry 4.0: future research opportunities in project management

Paiva

Rabechini

2022

FSRJ

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Purpose: Industry 4.0 is transforming companies around the world through business integration, implemented by disruptive technologies, and accompanied by the transformation of data into information and intelligence. This research aims to explore literature about capabilities and project management, in the context of industry 4.0 manufactures, to identify research opportunities in project management. Methodology / Approach: A Systematic Literature Review (SLR) analyzed 55 articles discussing project capabilities developed by industry 4.0 manufactures. Originality / Value: This study fills a research gap, as no literature review has reported state of the art knowledge about project capabilities in the context of industry 4.0. Findings: Project capabilities were summarized in six perspectives: project management, business models, innovation, skills of project professionals, technologies, and data management. Project management surfaces as a structural capability to implement industry 4.0. Besides, collaboration among parties amalgamates companies in new business models, as well as project professionals and teams while they implement new processes, products, and technologies. Theoretical implications: This study uncovers opportunities for future research related to customer and data-centered business transformations of industry 4.0, including how to manage projects in collaborative business networks and implement fast-paced innovation.

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“…At the production level, this might lead to an improvement in production planning. At the executive level, targeted data integration can support decision-making, strategy development and execution as well as supply chain management [27,28]. All these improvements can subsequently be used to augment customer service [26].…”

Section: Theoretical Fundamentals and State Of The Artmentioning

confidence: 99%

Big Data in the Metal Processing Value Chain: A Systematic Digitalization Approach under Special Consideration of Standardization and SMEs

et al. 2021

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Within the rise of the fourth industrial revolution, the role of Big Data became increasingly important for a successful digital transformation in the manufacturing environment. The acquisition, analysis, and utilization of this key technology can be defined as a driver for decision-making support, process and operation optimization, and therefore increase the efficiency and effectiveness of a complete manufacturing site. Furthermore, if corresponding interfaces within the supply chain can be connected within a reasonable effort, this technology can boost the competitive advantage of all stakeholders involved. These developments face some barriers: especially SMEs have to be able to be connected to typically more evolved IT systems of their bigger counterparts. To support SMEs with the development of such a system, this paper provides an innovative approach for the digitalization of the value chain of an aluminum component, from casting to the end-of-life recycling, by especially taking into account the RAMI 4.0 model as fundament for a standardized development to ensure compatibility within the complete production value chain. Furthermore, the key role of Big Data within digitalized value chains consisting of SMEs is analytically highlighted, demonstrating the importance of associated technologies in the future of metal processing and in general, manufacturing.

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A Managerial Early Warning System at a Smart Factory: An Intuitive Decision‐making Perspective

Cited by 25 publications

References 53 publications

The impact of teaching interventions in education for sustainable development – an experimental case study

The impact of teaching interventions in education for sustainable development – an experimental case study

Project capabilities in industry 4.0: future research opportunities in project management

Big Data in the Metal Processing Value Chain: A Systematic Digitalization Approach under Special Consideration of Standardization and SMEs

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