Suchergebnisse

AbstractThe automotive industry, as other manufacturing industries, has evolved from competing on discrete transactions to relational agreements with customers. While previous literature calls for further analysis of the observed heterogeneity found across servitized manufacturing industries, this article contextualizes the analysis in the automotive industry. Servitization follows a sequence of stages, from offering basic and intermediate services, to new business models based on the provision of advanced services to customers. As the advanced services are related to core competencies of the car manufacturers, complex collaborative arrangements are the primary market strategy choice. This article demonstrates the challenges and opportunities related to such choices, over a set of internal and external categories and along the servitization journey.

Internet use provides an increasing amount of data that has potential value for managers and policy makers but, without a precise understanding of the meaning of data, erroneous conclusions may be drawn which could adversely affect future decisions made by managers.

PurposeResponding to calls for deeper analysis of the conceptual foundations of service infusion in manufacturing, this paper examines the underlying assumptions that: (i) manufacturing firms incorporating services follow a pathway, moving from pure-product to pure-service offerings, and (ii) profits increase linearly with this process. We propose that these assumptions are inconsistent with the premises of behavioural and learning theories.Design/methodology/approachMachine learning algorithms are applied to test whether a successive process, from a basic to a more advanced offering, creates optimal performance. The data were gathered through two surveys administered to USA manufacturing firms in 2021 and 2023. The first included a training sample comprising 225 firms, whilst the second encompassed a testing sample of 105 firms.FindingsAnalysis shows that following the base-intermediate-advanced services pathway is not the best predictor of optimal performance. Developing advanced services and then later adding less complex offerings supports better performance.Practical implicationsManufacturing firms follow heterogeneous pathways in their service development journey. Non-servitised firms need to carefully consider their contextual conditions when selecting their initial service offering. Starting with a single service offering appears to be a superior strategy over providing multiple services.Originality/valueThe machine learning approach is novel to the field and captures the key conditions for manufacturers to successfully servitise. Insight is derived from the adoption and implementation year datasets for 17 types of services described in previous qualitative studies. The methods proposed can be extended to assess other process-based models in related management fields (e.g., sand cone).

PurposeMachine learning (ML) analytical tools are increasingly being considered as an alternative quantitative methodology in management research. This paper proposes a new approach for uncovering the antecedents behind product and product–service innovation (PSI).Design/methodology/approachThe ML approach is novel in the field of innovation antecedents at the country level. A sample of the Equatorian National Survey on Technology and Innovation, consisting of more than 6,000 firms, is used to rank the antecedents of innovation.FindingsThe analysis reveals that the antecedents of product and PSI are distinct, yet rooted in the principles of open innovation and competitive priorities.Research limitations/implicationsThe analysis is based on a sample of Equatorian firms with the objective of showing how ML techniques are suitable for testing the antecedents of innovation in any other context.Originality/valueThe novel ML approach, in contrast to traditional quantitative analysis of the topic, can consider the full set of antecedent interactions to each of the innovations analyzed.

R and D Management, Special Issue: Industry and International Aspects on R&D Management Funding: European Commission under the Horizon 2020 -MAKERS project: Smart Manufacturing for EU Growth and Prosperity, Spanish Government (grant nr. ECO2014-58472-R), Junta de Andalusia (grant nr. P11SEJ-792 7294) and EPSRC (grant nr. EP/K014064/1, EP/K014072/1 and EP/K014080/1) ; Treating the intersection of the strategic partnerships, R&D intensity and servitisation literatures, this study explores empirically whether external collaborative service development and provision and industrial R&D intensity help to unpack the complex relation between product-service innovation (servitisation) and performance. We argue that manufacturing firms implementing services benefit from strategic partnerships with Knowledge-Intensive Business Service (KIBS) firms. KIBS partnering provides opportunities for downsizing, externalising risks and sharing knowledge. Additionally, manufacturers in R&D-intensive industries are more likely to benefit from implementing service provision than firms in other sectors because of industry dynamics and reduced customer uncertainty. The study surveys executives in 370 large manufacturers worldwide. Results reinforce the importance of concentric strategic partnerships to successful product-service innovation in high R&D industries. ; authorsversion ; published

Digital technologies reshape the competitive landscape as firms develop new means of value creation, delivery, and capture. The implementation and suitability of digital business models depend largely on the resources of incumbent firms and new entrants and on the firm positioning in the supply chain. The effect of digital business models is context specific and hence insights from a wide range of industries are included here; among them retailing, manufacturing, Internet, health, and television broadcasting. The maximization of revenues through customer engagement and the reduction of costs are often the main drivers for digital business model adoption.

Funding Agency: European Commission under the Horizon 2020 Marie Sklodowska-Curie Actions project(grant nr. 691192), Spanish Government (grant nr. ECO2014-58472-R), FCT-Fundacao para a Ciencia e Tecnologia (grant nr. UID/ECO/00124/2013) and Social Sciences Data Lab (grant nr. LISBOA-01-0145-FEDER00772222209) ; Research is needed on effective servitization by multinational enterprises. This study examines whether Manufacturing Multinational Enterprises (MMNEs) can obtain better servitization outcomes by partnering with Knowledge Intensive Business Service (KIBS) firms and or by internationalizing their service function. In addition, the paper analyses the centralization of management decisions of human resources as an organizational mechanism to overcome coordination failure between product and service units. Our primary research data contain survey responses from 285 MMNEs collected in cooperation with an industry partner. Results show that cross-border strategic alliances and expertise decision centralization are critical to enhance product-service innovation. ; authorsversion ; published

This study draws on literature at the intersection of servitization, digital business models and supply chain management. Work empirically explores how digital disruption has affected Business-to-Business (B2B) interdependencies. Dematerialization of physical products is transforming the way firms are positioned in the supply chain due to a reduction in production and transport costs and the different ways business engage with customers. Specifically, we propose that these new market conditions can empower downstream firms. We further propose that upstream firms can still capture additional value through digital service if their servitized offer includes difficult to imitate elements. The context of the analysis is the publishing industry. The Payment Card method employed is used to test UK and US consumer's perceptions of digital formats (eBooks) and assess their willingness to pay in relation to printed formats. The method undertaken enables us to elicit aggregated consumer demand for eBooks which in turn identifies optimal pricing strategies for the digital services. Analysis demonstrates that during digital servitization upstream firms should seek to deploy unique resources to ensure their strategic position in the supply chain is not diminished. ; The authors would like to acknowledge the comments provided on early versions of this article by Professor Stan Siebert and Prof. Paul Edwards, comments received by attendees at ICBS 2014 and EUROMA 2015 conferences, and three anonymous referees. This research was supported by the European Commission under the Horizon 2020 Marie Skłodowska-Curie Actions project "MAKERS: Smart Manufacturing for EU Growth and Prosperity" with grant agreement number 691192, the Spanish Government under Grant ECO2014-58472-R, and the Junta de Andalusia under Grant P11-SEJ-7294.

Music industry revenues are highly correlated with firm profitability, which on average is below the risk‐free bank interest rate after the digital disruption.