Browsing USN Open Archive by Author "Parida, Vinit"
Now showing items 1-14 of 14
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An agile co-creation process for digital servitization: A micro-service innovation approach
Sjödin, David; Parida, Vinit; Kohtamäki, Marko; Wincent, Joakim (Peer reviewed; Journal article, 2020)In this paper, we explore how manufacturing firms and their customers co-create digital service innovations in an attempt to address the digitalization paradox. We present empirical insights from a case study of four ... -
Artificial intelligence and innovation management: A review, framework, and research agenda
Haefner, Naomi; Wincent, Joakim; Parida, Vinit; Gassmann, Oliver (Peer reviewed; Journal article, 2021)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 ... -
Artificial intelligence enabling circular business model innovation in digital servitization: Conceptualizing dynamic capabilities, AI capacities, business models and effects
Sjödin, David; Parida, Vinit; Kohtamäki, Marko (Peer reviewed; Journal article, 2023)This study explores the potential of AI to enable circular business model innovation (CBMI) for industrial manufacturers and the corresponding AI capacities and dynamic capabilities required for their commercialization. ... -
Clarifying the scaling concept: A review, definition, and measure of scaling performance and an elaborate agenda for future research
Palmié, Maximilian; Parida, Vinit; Mader, Anna; Wincent, Joakim (Peer reviewed; Journal article, 2023)Scaling has recently found its way into the academic discourse. However, the term has been used inconsistently and mixed up with other terms such as growth. To overcome these impediments to knowledge accumulation, we review ... -
Coping with the relational paradoxes of outcome-based services
Korkeamäki, Lauri; Sjödin, David; Kohtamäki, Marko; Parida, Vinit (Peer reviewed; Journal article, 2022)By entering outcome-based service (OBS) relationships, industrial service providers and their customers realign their business interests to achieve mutually beneficial outcomes. The move towards OBS represents a shift from ... -
Ecosystem transformation for digital servitization: A systematic review, integrative framework, and future research agenda
Kolagar, Milad; Parida, Vinit; Sjödin, David (Peer reviewed; Journal article, 2022)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 ... -
Implementing and scaling artificial intelligence: A review, framework, and research agenda
Haefner, Naomi; Parida, Vinit; Gassmann, Oliver; Wincent, Joakim (Peer reviewed; Journal article, 2023)Artificial intelligence (AI) will have a substantial impact on firms in virtually all industries. Without guidance on how to implement and scale AI, companies will be outcompeted by the next generation of highly innovative ... -
Inherent paradoxes in the shift to autonomous solutions provision: a multilevel investigation of the shipping industry
Sandvik, Håkon Osland; Sjödin, David; Brekke, Thomas; Parida, Vinit (Journal article; Peer reviewed, 2021)Transforming a traditional industry by adopting autonomous solutions is complex, generating paradoxical tensions on multiple aggregate levels. We undertake an indepth case study of a leading maritime autonomous solutions ... -
Linking circular economy and digitalisation technologies: A systematic literature review of past achievements and future promises
Chauhan, Chetna; Parida, Vinit; Dhir, Amandeep (Peer reviewed; Journal article, 2022)The circular economy (CE) has the potential to capitalise upon emerging digital technologies, such as big data, artificial intelligence (AI), blockchain and the Internet of things (IoT), amongst others. These digital ... -
Overcoming barriers to transformation in manufacturing firms. A path-dependence perspective of digital servitization
Brekke, Thomas; Lenka, Sambit; Kohtamäki, Marko; Parida, Vinit; Solem, Birgit Andrine Apenes (Peer reviewed; Journal article, 2023)Manufacturing frms struggle to break away from their pre-existing business models, oferings, routines, and capabilities. The present study used path dependency as a theoretical lens to investigate a single longitudinal ... -
Revenue models for digital services in the railway industry: A framework for choosing the right revenue model
Tabares, Sabrina; Parida, Vinit; Visnjic, Ivanka (Peer reviewed; Journal article, 2023)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 ... -
Servitization research: A review and bibliometric analysis of past achievements and future promises
Khanra, Sayantan; Dhir, Amandeep; Parida, Vinit; Kohtamäki, Marko (Journal article; Peer reviewed, 2021)Manufacturing firms are increasingly adopting a strategy known as 'servitization' to add services to existing product-based offerings to stimulate additional revenue and growth. While the emerging research domain of ... -
Value Creation and Value Capture Alignment in Business Model Innovation: A Process View on Outcome‐Based Business Models
Sjödin, David; Parida, Vinit; Jovanovic, Marin; Visnjic, Ivanka (Peer reviewed; Journal article, 2020)Industrial manufacturers are innovating their business models by shifting from selling products to selling outcome‐based services, where the provider (manufacturer) guarantees to deliver the performance outcomes of the ... -
Worth the risk? The profit impact of outcome-based service offerings for manufacturing firms
Korkeamäki, Lauri; Kohtamäki, Marko; Parida, Vinit (Peer reviewed; Journal article, 2021)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), ...