1,720,952 research outputs found
Ecosystem transformation for digital servitization : A systematic review, integrative framework, and future research agenda
Manufacturing firms are increasingly seeking to capture the potential of digitalization by transforming towards digital servitization. Yet, most manufacturers struggle to realize the value through digital servitization because it requires a sustained focus on forming ecosystem partnerships. Digital servitization research has long recognized the importance of ecosystem tranformation but much of the existing discussion on this interlink is fragmented and understudied. Therefore, this study’s purpose is to investigate how manufacturing firms engaged in digital servitization transform their ecosystems. To this end, we have examined the triggers, firm-level enablers, ecosystem phases and activities, and effects of ecosystem transformation in digital servitization. We provide a comprehensive review of the phases of ecosystem transformation including ecosystem formation, orchestration, and expansion as well as their associated activities. These findings have been consolidated into an integrative framework for ecosystem transformation and, based on this analysis, suggestions for future research are provided for digital servitization scholars.© 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)fi=vertaisarvioitu|en=peerReviewed
The evolution of the digital service ecosystem and digital business model innovation in retail : The emergence of meta-ecosystems and the value of physical interactions
As e-commerce has increasingly gained traction in the retail market, many traditional “brick-and-mortar” retailers are innovating their business models and making the transition towards digital business models. While scholars have started to examine the influence of digitalization on various business model elements, they have so far paid little attention to its implications on the external relationships in which firms engage for value creation. Building on a qualitative analysis of seventeen interviews, this study develops a two-stage framework for the transition to digital business models. In Stage 1, retailers collaborate with specialized service providers to implement a digital business model. As firms from the retail ecosystem collaborate with firms from the digital-service ecosystem to create a value proposition for end-customers, a meta-ecosystem emerges. In Stage 2, firms (retailers) seek to differentiate themselves from their competitors in the meta-ecosystem. Physical interactions with the digital service providers, the product suppliers, and the customers are a primary means towards this end. Thus, digitalization does not make physical interactions and close personal ties obsolete. Our study has substantial implications for the academic literature and management practice.© 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).fi=vertaisarvioitu|en=peerReviewed
Microfoundations in the strategic management of technology and innovation : Definitions, systematic literature review, integrative framework, and research agenda
While innovations and new technologies are often pivotal to the long-term prosperity of firms, such firm-level outcomes emerge from the actions and interactions of organizational members who develop innovations and use new technologies. The “microfoundations movement” seeks to understand how micro-level (e.g., individual) actions and interactions lead to macro-level (e.g., organizational) outcomes and mediate relations between macro-level variables. Although the movement has grown tremendously over the last decade, it has yet to deeply pervade the domain of strategic technology and innovation management. Due to its tremendous growth, it is quite fragmented and dispersed, which impedes the identification of the most promising opportunities for future research. To overcome this problematic situation, we conduct a systematic literature review of existing research on microfoundations in the strategic management of technology and innovation, synthesize it into an integrative framework, and chart promising paths for future research. Specifically, we apply a multi-coder, multi-step approach, identify 87 relevant articles published in 23 leading academic journals over the period from 2003 to 2022, and propose a research agenda comprising more than 20 promising avenues for future research based on the resulting insights. These findings have important implications for the academic literature and management practice.© 2022 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).fi=vertaisarvioitu|en=peerReviewed
Revenue models for digital services in the railway industry : A framework for choosing the right revenue model
While digital servitization provides manufacturing companies with the potential to earn additional revenues in the transition process from physical to digital offerings, the implementation of adequate value-capturing mechanisms is a major hurdle. The literature discerns little on the factors that influence the choice of revenue models for digital services. To address this knowledge gap, we build on a case study approach involving two global manufacturing companies in the railway industry that have experience in offering diverse digital services. The analysis reveals specific features and characteristics of three major revenue models for digital services – namely, subscription, usage-based, and performance-based revenue models. In addition, we identify overarching factors influencing the choice of revenue models for digital services. They are related to a) customer digital readiness, b) digital service sophistication, and c) digital ecosystem partnerships. Building on these influencing factors, we propose a framework that recommends that companies evaluate revenue models in relation to specific digital services. We furnish several theoretical contributions to the digital servitization literature and provide managerial implications for practitioners to assist in the choice of revenue models for digital services.© 2023 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).fi=vertaisarvioitu|en=peerReviewed
Going Beyond Counting First Authors in Author Co-citation Analysis
The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Worth the risk? The profit impact of outcome-based service offerings for manufacturing firms
Because research on outcome-based service offerings (OBS) is very case study oriented, we lack empirical knowledge of OBS provider profitability in general. Drawing upon an unbalanced panel dataset (n = 1566, N = 14,756), we found that an average OBS provider manufacturer has a 4.40-percentage-point higher gross margin than an average non-OBS manufacturer. In addition, we found that large OBS providers generate lower profits. Since OBS offerings are complex and highly customized, scaling them is a challenge that requires investments in digital technologies and solution modularity. Thus, we tested the moderating role of R&D investments on the scale-profitability relationship and found that for OBS firms, R&D investments moderate the negative relationship between scale and profitability. For managers, these results highlight the profit potential of OBS but also that large OBS providers in particular must be prepared to invest in digital servitization to ensure profitability.© 2021 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).fi=vertaisarvioitu|en=peerReviewed
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Artificial intelligence and innovation management : A review, framework, and research agenda
Artificial Intelligence (AI) reshapes companies and how innovation management is organized. Consistent with rapid technological development and the replacement of human organization, AI may indeed compel management to rethink a company's entire innovation process. In response, we review and explore the implications for future innovation management. Using ideas from the Carnegie School and the behavioral theory of the firm, we review the implications for innovation management of AI technologies and machine learning-based AI systems. We outline a framework showing the extent to which AI can replace humans and explain what is important to consider in making the transformation to the digital organization of innovation. We conclude our study by exploring directions for future research.© 2020 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/).fi=vertaisarvioitu|en=peerReviewed
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
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