Aligning strategic position, behavior, and structure for smart service businesses in manufacturing

Koldewey, Christian; Hemminger, Anja; Reinhold, Jannik; Gausemeier, J.; Dumitrescu, Roman; Chohan, Nadia; Frank, Maximilian

doi:10.1016/j.techfore.2021.121329

Cited by 7 publications

(6 citation statements)

References 41 publications

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“…Industrial companies are significantly affected by the recent trend toward servitization, which has an impact on their current business models [24,25]. For this reason, and in relation to competitive advantage [11,12], it is important to examine this phenomenon in more detail.…”

Section: Servitization and Product-service Systems (Psss)mentioning

confidence: 99%

“…For this reason, and in relation to competitive advantage [11,12], it is important to examine this phenomenon in more detail. The term "servitization" was first used by Vandermerwe and Rada in 1988 [11] (see also [25][26][27][28]), and it describes the shift of companies toward a service-centric approach, moving away from a product-centric one [29] (see also [25,30]). Vandermerwe and Rada [11] complement this, writing about a movement toward ".…”

Section: Servitization and Product-service Systems (Psss)mentioning

confidence: 99%

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An Exploratory Analysis of the Current Status and Potential of Service-Oriented and Data-Driven Business Models within the Sheet Metal Working Sector: Insights from Interview-Based Research in Small and Medium-Sized Enterprises

Wirth,

Schneider,

Hanselmann

et al. 2024

Sustainability

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Responding to changing value creation processes in the sheet metal working sector, where the complexity and interchangeability of products challenge traditional differentiation strategies, this exploratory analysis examines the integration of service-oriented and data-driven business models as new paths to ensure competitiveness, especially for small and medium-sized enterprises (SMEs). This study aims to capture the current state and challenges associated with the implementation of these business models in this sector. This research was conducted through semi-structured interviews with SMEs in the industry. The findings indicate that service-oriented and data-driven business models are not yet widely adopted and that manufacturing companies require support in their implementation. Fields of action were identified for the industry. These are “Creating awareness and understanding”, “Recognizing added value”, “Increasing company maturity”, and “Understanding the change process”. Cooperation between science and industry is essential in tackling these fields of action to ensure the successful integration of such business models in manufacturing companies. This paper identifies challenges in the fields of action that companies must address through a structured approach, promoting awareness, recognizing value, improving organizational maturity, and understanding the change process to successfully implement service-oriented and data-driven business models.

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Section: Servitization and Product-service Systems (Psss)mentioning

confidence: 99%

Section: Servitization and Product-service Systems (Psss)mentioning

confidence: 99%

An Exploratory Analysis of the Current Status and Potential of Service-Oriented and Data-Driven Business Models within the Sheet Metal Working Sector: Insights from Interview-Based Research in Small and Medium-Sized Enterprises

Wirth,

Schneider,

Hanselmann

et al. 2024

Sustainability

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Section: Analysis Of Contentmentioning

confidence: 99%

“…Based upon the results of LDA and co-occurrence analysis of keywords, the cluster focuses on operational (Mak, 2022) and smart manufacturing communities. It discusses the different aspects of smart services-based manufacturing (Koldewey et al, 2020;Sheth and Kusiak, 2022), innovation in supply chain management (Mak, 2022;Hahn, 2020), logistics (Rahman et al, 2022;Asthana and Dwivedi, 2020) digitization of the manufacturing sector (Kohtamaki et al, 2020;Dragicevic et al, 2019). Technologies used include blockchain (De Giovanni, 2020), cloud manufacturing and datadriven decision-making for the manufacturing sectors (Sarbu, 2022).…”

Section: Cluster 1 (Manufacturing-based Scs)mentioning

confidence: 99%

A contemplative overview of smart communities: a hybrid analytical approach

Sakshi,

Srivastava,

Mangla

et al. 2023

JEIM

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PurposeThis study aims to uncover and develop explicit knowledge of existing smart communities (SCs) to guide services and business solutions for enterprises and serve community users in a well-thought-out manner. These sagacious frameworks will assist in analyzing trends and reaching out to pre-existing setups with different degrees of expertise.Design/methodology/approachA systematic overview is provided in this paper to unify insights and competencies toward building SCs; a hybrid analytical approach is used consisting of machine learning and bibliometric analysis. Scopus and Web of Science (WoS) are the primary databases for this purpose.FindingsSCs implement cutting-edge technologies to enhance mobility, elevating information and communication technology (ICT) skills and data awareness while improving business processes and efficiency. This system of SC is an evolution of the conventional method. It provides a foundation for intelligent community services based on individual users and technologies such as the Internet of Things (IoT), artificial intelligence, cloud computing and big data. Manufacturing-based, service-based, retail-based, resource management and infrastructure-based SCs exist in the literature.Originality/valueThe paper summarizes a conceptual framework of SCs based on existing works around SCs. To the best of the authors’ knowledge, this is the first systematic literature review that uses a hybrid approach of topic modeling and bibliometric analysis to understand SCs better.

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“…The combination of smart products and services is unique in its disruptive potential. Smart product-service systems enable better user experiences and altered value propositions [14]. In the case of a manufacturing company, this can mean that networking and data-driven intelligence turn the machine tool into a smart product.…”

Section: Servitization In Industry: From Selling Products To Smart Pr...mentioning

confidence: 99%

Implementing Smart Services in Small- and Medium-Sized Manufacturing Companies: On the Progress of Servitization in the Era of Industry 4.0

Winter

2023

Sci

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Aligning strategic position, behavior, and structure for smart service businesses in manufacturing

Cited by 7 publications

References 41 publications

An Exploratory Analysis of the Current Status and Potential of Service-Oriented and Data-Driven Business Models within the Sheet Metal Working Sector: Insights from Interview-Based Research in Small and Medium-Sized Enterprises

An Exploratory Analysis of the Current Status and Potential of Service-Oriented and Data-Driven Business Models within the Sheet Metal Working Sector: Insights from Interview-Based Research in Small and Medium-Sized Enterprises

A contemplative overview of smart communities: a hybrid analytical approach

Implementing Smart Services in Small- and Medium-Sized Manufacturing Companies: On the Progress of Servitization in the Era of Industry 4.0

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