Pub Date : 2023-10-30DOI: 10.1109/EMR.2023.3328780
Antonio Piepoli;Francesco Arcidiacono;Luigi Jesus Basile;Roberta Pellegrino;Florian Schupp;Tobias Zuehlke
Several automotive industry players are investing in the implementation of Industry 4.0 (I4.0). However, the adoption of I4.0 technologies in automotive supply chains (SCs) is still not uniform, which limits the value creation of advanced technologies. In particular, suppliers, which play a crucial role in the automotive SC, often struggle in their I4.0 projects. Since their adoption of I4.0 technologies can significantly impact the overall performance and value creation within the SC, it is crucial to gain insights into actions and strategies that can support suppliers’ I4.0 implementations. Building on a multiple case study approach, this article aims at providing guidance to prospective I4.0 adopters by investigating the organizational-level actions that support I4.0 projects, the financial capital and KPIs typically used by suppliers, and the resulting impact of I4.0 technology implementation on business performance. Evidence shows that the planning stage of I4.0 initiatives, from the organizational-level actions to the investment strategy, is a complex and strategic stage for ensuring success. Equally important are the external collaborations, which ensure that firms are in line with technological innovation and market needs. Finally, results show that the implementation of more advanced I4.0 technologies is correlated with a more robust improvement in business performance.
{"title":"The Interplay Between Industry 4.0 Technologies and Business Performance: Evidence From a Multiple Case Study in the Automotive Sector","authors":"Antonio Piepoli;Francesco Arcidiacono;Luigi Jesus Basile;Roberta Pellegrino;Florian Schupp;Tobias Zuehlke","doi":"10.1109/EMR.2023.3328780","DOIUrl":"10.1109/EMR.2023.3328780","url":null,"abstract":"Several automotive industry players are investing in the implementation of Industry 4.0 (I4.0). However, the adoption of I4.0 technologies in automotive supply chains (SCs) is still not uniform, which limits the value creation of advanced technologies. In particular, suppliers, which play a crucial role in the automotive SC, often struggle in their I4.0 projects. Since their adoption of I4.0 technologies can significantly impact the overall performance and value creation within the SC, it is crucial to gain insights into actions and strategies that can support suppliers’ I4.0 implementations. Building on a multiple case study approach, this article aims at providing guidance to prospective I4.0 adopters by investigating the organizational-level actions that support I4.0 projects, the financial capital and KPIs typically used by suppliers, and the resulting impact of I4.0 technology implementation on business performance. Evidence shows that the planning stage of I4.0 initiatives, from the organizational-level actions to the investment strategy, is a complex and strategic stage for ensuring success. Equally important are the external collaborations, which ensure that firms are in line with technological innovation and market needs. Finally, results show that the implementation of more advanced I4.0 technologies is correlated with a more robust improvement in business performance.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135260925","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Industrial mining operations and associated activities cause adverse and sometimes irrevocable harm to ecosystems. Uncontrolled quarrying impacts the local geology and vegetation, thus it is important to examine local tree varieties, also known as alpha diversity, and species turnover over landscape gradients, known as beta diversity. This has prompted a review of three important issues: 1) How has mining affected the region's alpha and beta diversity? 2) How can floral changes along altitudinal gradients impact the composition of tree communities? and 3) Factors able to forecast changes in the environmental sustainability? A case study analysis was conducted to address these questions with the estimation of the significance value index for pioneer and successional tree species, utilizing certain phytosociological characteristics. The findings of the study indicated a limited range of species variety and carbon storage across three distinct elevation gradients, specifically those exceeding 450 m, those at precisely 450 m, and below 450 m. The results of this study provide a theoretical basis for the implementation of management strategies aiming to achieve sustainable practices in industrial operations. Additionally, it will contribute to multidisciplinary environmental sustainability science by employing scientific ecosystem analysis as a framework.
{"title":"Effect of Industrial Activities Vis-à-Vis Ecological Imbalance–Sustainability Perspective","authors":"Meenakshi Singh;Piyush Choudhary;Nikunj Kumar Jain;Bhavya Mishra;Atul Srivastava","doi":"10.1109/EMR.2023.3326817","DOIUrl":"10.1109/EMR.2023.3326817","url":null,"abstract":"Industrial mining operations and associated activities cause adverse and sometimes irrevocable harm to ecosystems. Uncontrolled quarrying impacts the local geology and vegetation, thus it is important to examine local tree varieties, also known as alpha diversity, and species turnover over landscape gradients, known as beta diversity. This has prompted a review of three important issues: 1) How has mining affected the region's alpha and beta diversity? 2) How can floral changes along altitudinal gradients impact the composition of tree communities? and 3) Factors able to forecast changes in the environmental sustainability? A case study analysis was conducted to address these questions with the estimation of the significance value index for pioneer and successional tree species, utilizing certain phytosociological characteristics. The findings of the study indicated a limited range of species variety and carbon storage across three distinct elevation gradients, specifically those exceeding 450 m, those at precisely 450 m, and below 450 m. The results of this study provide a theoretical basis for the implementation of management strategies aiming to achieve sustainable practices in industrial operations. Additionally, it will contribute to multidisciplinary environmental sustainability science by employing scientific ecosystem analysis as a framework.","PeriodicalId":35585,"journal":{"name":"IEEE Engineering Management Review","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135156217","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-11DOI: 10.1109/EMR.2023.3322626
Peter E.D. Love;Jane Matthews;Lavagnon A. Ika;Weili Fang
Poor quality in construction often manifests in the need for rework to be performed. Yet, no specific theory exists in the literature to provide practical guidance to mitigate rework. While common conceptualizations of rework abound, they fall short of the strict empirical testing required to develop a “good” theory. Rumsfeld's heuristic suggests that within complex production systems such as construction, there are known knowns, known unknowns, and unknown unknowns. Using this heuristic as a metaphor, we undertake a narrative review of the literature to make sense of what is known