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Open accessJournal ArticleDOI: 10.1016/J.TECHNOVATION.2021.102250

Configuring ecosystem strategies for digitally enabled process innovation: A framework for equipment suppliers in the process industries

02 Mar 2021-Technovation (Elsevier)-Vol. 105, pp 102250
Abstract: Digitalization offers new opportunities for equipment suppliers to support the competitiveness of process industry firms through participating in digitally enabled process-innovation initiatives. However, doing so is not without challenges as it requires equipment suppliers to align with multiple actors within an extended ecosystem to deliver complex product-service software systems as embodied sources of process innovation. This creates various challenges for the equipment supplier because it has to secure its role in an ecosystem where it must simultaneously cooperate and compete with other ecosystem actors. Therefore, it needs to consciously determine what ecosystem strategy to apply. Using multiple exploratory case studies, we investigate how equipment suppliers configure appropriate ecosystem strategies to realize digitally enabled process innovation for process industry firms. Our findings emphasize that different industrial customer contexts require different ecosystem strategies; we have identified four archetypical ecosystem strategies (orchestrator, dominator, complementor, and protector). The core insights from our research are converted into a decision tree framework to guide equipment suppliers in configuring the appropriate ecosystem strategy based on the industrial customer context. Key contingency considerations include determining an appropriate role in the ecosystem (leader or follower) and a suitable coopetitive approach (cooperation dominated or competition dominated).

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Open accessJournal ArticleDOI: 10.1016/J.TECHNOVATION.2021.102312
01 Aug 2021-Technovation
Abstract: While using artificial intelligence (AI) could improve organizational decision-making, it also creates challenges associated with the “dark side” of AI. However, there is a lack of research on managers' attitudes and intentions to use AI for decision making. To address this gap, we develop an integrated AI acceptance-avoidance model (IAAAM) to consider both the positive and negative factors that collectively influence managers' attitudes and behavioral intentions towards using AI. The research model is tested through a large-scale questionnaire survey of 269 UK business managers. Our findings suggest that IAAAM provides a more comprehensive model for explaining and predicting managers' attitudes and behavioral intentions towards using AI. Our research contributes conceptually and empirically to the emerging literature on using AI for organizational decision-making. Further, regarding the practical implications of using AI for organizational decision-making, we highlight the importance of developing favorable facilitating conditions, having an effective mechanism to alleviate managers’ personal concerns, and having a balanced consideration of both the benefits and the dark side associated with using AI.

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11 Citations


Open accessJournal ArticleDOI: 10.1016/J.JBUSRES.2021.05.009
Abstract: Artificial intelligence (AI) is predicted to radically transform the ways manufacturing firms create, deliver, and capture value. However, many manufacturers struggle to successfully assimilate AI capabilities into their business models and operations at scale. In this paper, we explore how manufacturing firms can develop AI capabilities and innovate their business models to scale AI in digital servitization. We present empirical insights from a case study of six leading manufacturers engaged in AI. The findings reveal three sets of critical AI capabilities: data pipeline, algorithm development, and AI democratization. To scale these capabilities, firms need to innovate their business models by focusing on agile customer co-creation, data-driven delivery operations, and scalable ecosystem integration. We combine these insights into a co-evolutionary framework for scaling AI through business model innovation underscoring the mechanisms and feedback loops. We offer insights into how manufacturers can scale AI, with important implications for management.

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Topics: Business model (54%)

3 Citations



Open accessJournal ArticleDOI: 10.3390/SU13179765
31 Aug 2021-Sustainability
Abstract: In age of sustainable development, strategic innovations have become the most important factor in the adaptation of national economies to dynamic global changes, encompassing trade and economic relations between the leading and developing countries of the World. At the same time, the task of this study was to reveal the complex and contradictory role of strategic innovations in the development of national economies against the background of the transformation of global value chains (GVCs). Main methods for solving the problem were empirical methods of comparative and structural analysis, as well as econometrics. The study analyzed 44 countries classified by the World Bank in the group of countries with per capita incomes below and above the average, as well as with high income. Results of the calculations made it possible to establish a highly differentiated relationship between the share of products manufactured by foreign companies operating in the host countries, on the one hand, and indicators of the dynamics of foreign direct investment (the number of researchers engaged in R&D, the number of technical specialists involved in research and development (R&D), the cost of research and development in the territory of the host countries), on the other hand. This made it possible to determine the role of strategic innovation in the adaptation of national economies. The established dependencies expand the understanding of the role of strategic innovations in the formation and further development of global value chains and their significance in evolution: from process and product innovations of individual companies to the formation of global innovation ecosystems.

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Topics: Foreign direct investment (54%), Sustainable development (53%), Per capita (50%) ... read more

1 Citations


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81 results found


Journal ArticleDOI: 10.1191/1478088706QP063OA
Virginia Braun1, Victoria Clarke2Institutions (2)
Abstract: Thematic analysis is a poorly demarcated, rarely acknowledged, yet widely used qualitative analytic method within psychology. In this paper, we argue that it offers an accessible and theoretically flexible approach to analysing qualitative data. We outline what thematic analysis is, locating it in relation to other qualitative analytic methods that search for themes or patterns, and in relation to different epistemological and ontological positions. We then provide clear guidelines to those wanting to start thematic analysis, or conduct it in a more deliberate and rigorous way, and consider potential pitfalls in conducting thematic analysis. Finally, we outline the disadvantages and advantages of thematic analysis. We conclude by advocating thematic analysis as a useful and flexible method for qualitative research in and beyond psychology.

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77,018 Citations


Journal ArticleDOI: 10.3280/SO2008-002004
Kathleen M. Eisenhardt1Institutions (1)
01 Feb 2009-
Abstract: Building Theories From Case Study Research - This paper describes the process of inducting theory using case studies from specifying the research questions to reaching closure. Some features of the process, such as problem definition and construct validation, are similar to hypothesis-testing research. Others, such as within-case analysis and replication logic, are unique to the inductive, case-oriented process. Overall, the process described here is highly iterative and tightly linked to data. This research approach is especially appropriate in new topic areas. The resultant theory is often novel, testable, and empirically valid. Finally, framebreaking insights, the tests of good theory (e.g., parsimony, logical coherence), and convincing grounding in the evidence are the key criteria for evaluating this type of research.

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37,906 Citations


Journal ArticleDOI: 10.5465/AMR.1989.4308385
Kathleen M. Eisenhardt1Institutions (1)
Abstract: �Traditional, hierarchical views of leadership are less and less useful given the complexities of our modern world. Leadership theory must transition to new perspectives that account for the complex adaptive needs of organizations. In this paper, we propose that leadership (as opposed to leaders) can be seen as a complex dynamic process that emerges in the interactive “spaces between” people and ideas. That is, leadership is a dynamic that transcends the capabilities of individuals alone; it is the product of interaction, tension, and exchange rules governing changes in perceptions and understanding. We label this a dynamic of adaptive leadership, and we show how this dynamic provides important insights about the nature of leadership and its outcomes in organizational fields. We define a leadership event as a perceived segment of action whose meaning is created by the interactions of actors involved in producing it, and we present a set of innovative methods for capturing and analyzing these contextually driven processes. We provide theoretical and practical implications of these ideas for organizational behavior and organization and management theory.

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Topics: Organizational behavior (51%)

22,211 Citations


Open accessBook
01 Jan 1967-
Abstract: The discovery of grounded theory , The discovery of grounded theory , کتابخانه مرکزی دانشگاه علوم پزشکی تهران

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Topics: Grounded theory (62%)

21,330 Citations


Journal ArticleDOI: 10.5465/AMJ.2007.24160888
Abstract: This article discusses the research strategy of theory building from cases, particularly multiple cases. Such a strategy involves using one or more cases to create theoretical constructs, propositions, and/or midrange theory from case-based, empirical evidence. Replication logic means that each case serves as a distinct experiment that stands on its own merits as an analytic unit. The frequent use of case studies as a research strategy has given rise to some challenges that can be mitigated by the use of very precise wording and thoughtful research design.

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Topics: Empirical research (59%)

11,811 Citations


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No. of citations received by the Paper in previous years
YearCitations
20216
19871