Article
Computer Science, Interdisciplinary Applications
Gokcen Yilmaz, Asli Akcamete, Onur Demirors
Summary: BIM adoption has been rapidly increasing worldwide as it is crucial for digitalization in the construction industry. The transformation of traditional building life cycle stages into BIM-integrated project deliveries is necessary for BIM adoption. Assessing the BIM capabilities of these stages helps organizations identify gaps and improve their BIM usage.
COMPUTERS IN INDUSTRY
(2023)
Article
Computer Science, Interdisciplinary Applications
Ebru Gokalp, Veronica Martinez
Summary: The Digital Transformation Capability Maturity Model (DX-CMM) is designed to assist organizations by providing a comprehensive roadmap to determine their current DX capability level, conduct gap analysis, and provide improvement suggestions. Case study results in the chemical and machine manufacturing domains demonstrate that the DX-CMM is effective in identifying DX maturity levels and providing improvement roadmaps, as well as benchmarking organizations against each other using the same approach.
COMPUTERS IN INDUSTRY
(2021)
Article
Computer Science, Interdisciplinary Applications
Isabel Castelo-Branco, Tiago Oliveira, Pedro Simoes-Coelho, Jorge Portugal, Irina Filipe
Summary: This study presents an Industry 4.0 measurement model that is applied to Portuguese companies from various economic sectors. The model is developed through a mixed-methods approach, and a measurement scale is derived. The study identifies five constructs and their respective measurement indicators. These constructs are further explored and validated in a qualitative study, and the measurement scale is extended. The model is then applied in a quantitative study, which suggests some adjustments in the initial constructs. Finally, an Industry 4.0 maturity index is derived based on the firms' ability to impact the value chain.
COMPUTERS IN INDUSTRY
(2022)
Article
Engineering, Industrial
Mehmet Kirmizi, Batuhan Kocaoglu
Summary: This study proposes a novel maturity model development framework based on design science theory, utilizes qualitative and quantitative methods for empirical evidence, and develops a descriptive digital transformation maturity model. The framework's effectiveness and utility are validated through expert discussions and evaluations, and the applicability of the developed model is confirmed through case studies.
JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT
(2022)
Article
Social Issues
Marcelo Rezende Pinto, Paula Karina Salume, Marcelo Werneck Barbosa, Paulo Renato de Sousa
Summary: This study identifies dimensions that characterize digital maturity in the retail sector and places companies into distinct levels of maturity. A quantitative methodology was used with Brazilian retail companies completing an electronic questionnaire. Cluster analysis was employed to determine maturity levels, and five dimensions (strategy, market, operations, culture, and technology) were found to separate companies across levels. The culture dimension showed higher average scores, indicating its importance as a driver of digital transformation. Larger companies tended to be more digitally mature, while lower maturity companies needed to invest more in strategy and operations. The study provides insights into the digital maturity of the Brazilian retail sector, which may be applicable to other emerging economies. Theoretical contributions include the identification of five dimensions related to digital maturity and the proposal of a framework based on the structure-conduct-paradigm.
TECHNOLOGY IN SOCIETY
(2023)
Article
Engineering, Industrial
Daisy Valle Enrique, Giuliano Almeida Marodin, Fernando Bigares Charrua Santos, Alejandro G. Frank
Summary: This study investigates the relationship between Industry 4.0 technologies and production targets such as flexibility, quality, and productivity. The results show that different technology arrangements are adopted based on the specific production targets, and there are interconnections and trade-offs between these targets and the adopted technologies.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
(2023)
Article
Engineering, Industrial
Gangqiang Yang, Yiming Nie, Honggui Li, Haisen Wang
Summary: This study proposes a theoretical framework to investigate how digital transformation drives low-carbon technology innovation in manufacturing firms. The results show that digital transformation effectively promotes low-carbon technology innovation, while enhancing the absorptive capacity, innovation capacity, and adaptive capacity of enterprises through three stages: data analysis, data operation, and data empowerment.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Business
Chao Shang, Jian Jiang, Lan Zhu, Parvaneh Saeidi
Summary: In recent decades, digital technologies have had a significant impact on socioeconomic systems globally. However, there is a lack of research on the risks and challenges associated with the development of digital capabilities and the digital economy. This study aims to investigate the major areas relevant to transforming companies into the digital economy and assess the impacts of new risks encountered during such transitions. A decision support model is developed to evaluate risks in the digital economy transformation of the manufacturing industry. The results identify the lack of top management involvement and an unstable market environment as the most significant risks for digital economy transformation in the manufacturing industry.
JOURNAL OF INNOVATION & KNOWLEDGE
(2023)
Article
Social Sciences, Interdisciplinary
Arzu Aras, Gulcin Buyukozkan
Summary: To achieve a successful digital transformation, organizations must create a precise roadmap and effectively manage the process. A digital maturity model plays a critical role in assessing the current situation and aligning the goals; however, comprehensive literature reviews on maturity models proposed by academia and consultancy firms are difficult to come by.
Review
Management
Bernardo Henrique Leso, Marcelo Nogueira Cortimiglia, Antonio Ghezzi, Vinicius Minatogawa
Summary: The study combines the dynamic capabilities theory with the perspective of digital maturity to identify the capabilities necessary for organizations to become digitally mature. Through a systematic review and case studies, a framework of digital transformation dynamic capability is proposed, encompassing five thematic areas of action.
REVIEW OF MANAGERIAL SCIENCE
(2023)
Article
Green & Sustainable Science & Technology
Maria Nikopoulou, Panos Kourouthanassis, Giota Chasapi, Adamantia Pateli, Naoum Mylonas
Summary: The study investigates the factors influencing hotels' adoption of digital technologies by surveying 502 hoteliers and managers. The research model is validated through the PLS-SEM method. The findings show that MSME hotels affected by COVID-19 are more likely to adopt digital technologies. Factors such as digital maturity, financial resource availability, and government regulations have a positive and significant impact on the intention to adopt digital technology. The study explores lesser-studied factors, such as organizational digital maturity, which consists of a multidimensional latent variable. The findings can guide the formulation of digital strategies for the hospitality industry.
Article
Business
Erico Marcon, Marie-Anne Le Dain, Alejandro G. Frank
Summary: The literature on Industry 4.0 (I4.0) focuses on the implementation of digital technologies in manufacturing processes. However, it is important to also consider the broader changes in a company's business model (BM) through digital transformation. This study examines how changing factors in the I4.0 context affect the business model dimensions of technology providers. The findings provide insights for practitioners to anticipate necessary actions in managing and incorporating these changes.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
(2022)
Article
Engineering, Industrial
Pinosh Kumar Hajoary, P. Balachandra, Jose Arturo Garza-Reyes
Summary: Manufacturing enterprises often struggle to assess and implement Industry 4.0 technologies and processes due to a lack of assessment framework and procedures. To address this, this research proposes a multi-dimensional framework and indicators for assessing Industry 4.0 maturity and preparedness. The study validates the framework through data analysis from a multinational steel manufacturing company and highlights the highest performance in the supply chain dimension and the lowest in the business model dimension.
PRODUCTION PLANNING & CONTROL
(2023)
Article
Engineering, Industrial
Ahmad Beltagui, Stefan Gold, Nathan Kunz, Gerald Reiner
Summary: This article introduces the contribution of Additive Manufacturing to business and society, and proposes a model that includes operational, strategic, and contextual factors to guide organizations in adopting Additive Manufacturing.
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
(2023)
Article
Computer Science, Interdisciplinary Applications
Zeyi Miao
Summary: This paper analyzes the impact of international technology spillovers on the transformation and development of China's digital manufacturing industry through panel data model construction. The study found that in the Yangtze River Delta region, foreign direct investment technology spillover and import trade technology spillover showed a certain growth trend, but declined after 2017.
JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT
(2022)
