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Search: WFRF:(Agarwal Girish)

  • Result 1-8 of 8
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1.
  • 2021
  • swepub:Mat__t
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2.
  • Agarwal, Girish Kumar, et al. (author)
  • Edge AI Driven Technology Advancements Paving Way towards New Capabilities
  • 2020
  • In: International Journal of Innovation and Technology Management (IJITM). - : World Scientific. - 0219-8770.
  • Journal article (peer-reviewed)abstract
    • As industries hold the opportunity to embrace artificial intelligence (AI) driven innovation, their success to a significant extent will depend on the value the new technology generates for different business stakeholder groups. This is in turn dependent upon how management can embrace these techniques and change as companies will frequently need to transform both internal processes and offerings to customers in order to reap the benefits of AI. AI is a growing research area currently concentrated around technology and modeling of techniques and yet only few examples and limited research are available, on how AI technology enables new capabilities that can impact the value delivered as well as radically transform it. We thus need to understand what new capabilities these technologies bring about and how they are used. Based on three concrete empirical quasi-experiments, interviews conducted with start-ups and a Swedish industrial manufacturing firm dealing with outdoor power products (like grass-cutters, chain-saws, concrete-saws, etc.) for professional and consumer use and using an analytical framework derived from the Resource Based View, this paper explores capabilities enabled through Edge AI and the competitive advantage these may offer. Specific capabilities (self-calibration, enhanced-sensing, selective-capture and reputation) are identified and implications for theory are discussed, pointing out the importance to consider this type of technology not only as a resource, but rather as a dynamic capability in itself.
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3.
  • Agarwal, Girish Kumar (author)
  • Towards a Value‐Process Framework for Artificial Intelligence Enabled Business Models
  • Other publication (other academic/artistic)abstract
    • Artificial intelligence (AI) enables new capabilities for enterprises and accelerates business model innovation within firms.Although rightly poised, the penetration and adoption of AI technology across organizations and customer offerings appear tobe slower than expected. Using a literature review, this paper highlights that current value processes in the business model donot address different value aspects sufficiently in AI-driven business models. This is followed by literature mapping, clusteranalysis, and the assessment of value theories to propose an alternate process-oriented value framework (value-identification,value-manifestation & value-capture). This paper also conducts corpus assessment on reviewed articles to highlight that currentstudies concentrate more on value-manifestation and value-capture than value-identification. Finally, we discuss how AItechnology contributes towards different value dimensions of the proposed framework and the need for a more comprehensiveapproach to include value-identification, manifestation, and capture for accelerated adoption of artificial intelligencetechnology within business model innovation.
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4.
  • Agarwal, Girish Kumar, et al. (author)
  • Value Changes during Service Delivery
  • 2021
  • In: 2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC). - : Institute of Electrical and Electronics Engineers (IEEE).
  • Conference paper (peer-reviewed)abstract
    • Most industries are shifting from product-orientedbusiness models towards services to step up the value chain andengage in long-term relationships with their customersthroughout the service lifecycle. Digital technologies arecontributing to servitization in many ways by creating andenabling capabilities like connectivity, IoT, data generation andassessment, etc., for new value generation, distribution, andcapture. Because value is subjective, dynamic, and changes duringthe service lifecycle, service providers need to examine closely thevalue perceptions of customers to constantly provide better valueand remain relevant with the competition. Through a consumersurvey and a longitudinal study of thirteen customers, this paperuses qualitative and quantitative assessment to identify the valuedimensions that play a major role for customers being onboardedon a digital enabled service, and also highlights how customervalue dimensions change over the course of the service lifecycle.One important finding is that change in customer value perceptiondoes not follow a pattern and is highly individual and personal.This opens a discussion regarding the need for hyperpersonalizationin successful servitization, and the role of digitaltechnologies towards the same.
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5.
  • Agarwal, Girish, et al. (author)
  • Light, the universe and everything-12 Herculean tasks for quantum cowboys and black diamond skiers
  • 2018
  • In: Journal of Modern Optics. - : Informa UK Limited. - 0950-0340 .- 1362-3044. ; 65:11, s. 1261-1308
  • Journal article (peer-reviewed)abstract
    • The Winter Colloquium on the Physics of Quantum Electronics (PQE) has been a seminal force in quantum optics and related areas since 1971. It is rather mind-boggling to recognize how the concepts presented at these conferences have transformed scientific understanding and human society. In January 2017, the participants of PQE were asked to consider the equally important prospects for the future, and to formulate a set of questions representing some of the greatest aspirations in this broad field. The result is this multi-authored paper, in which many of the world's leading experts address the following fundamental questions: (1) What is the future of gravitational wave astronomy? (2) Are there new quantum phases of matter away from equilibrium that can be found and exploited - such as the time crystal? (3) Quantum theory in uncharted territory: What can we learn? (4) What are the ultimate limits for laser photon energies? (5) What are the ultimate limits to temporal, spatial and optical resolution? (6) What novel roles will atoms play in technology? (7) What applications lie ahead for nitrogen-vacancy centres in diamond? (8) What is the future of quantum coherence, squeezing and entanglement for enhanced super-resolution and sensing? (9) How can we solve (some of) humanity's biggest problems through new quantum technologies? (10) What new understanding of materials and biological molecules will result from their dynamical characterization with free-electron lasers? (11) What new technologies and fundamental discoveries might quantum optics achieve by the end of this century? (12) What novel topological structures can be created and employed in quantum optics?
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6.
  • Agarwal, Girish, 1981- (author)
  • Revising Business Model Innovation: Towards a value process framework for AI-based Offerings
  • 2022
  • Doctoral thesis (other academic/artistic)abstract
    • Advances over the last few decades in digital technologies in general and artificial intelligence (AI) technology in particular have transformed many industries. There are many successful AI use cases in industry. However, the adoption rate of AI technology by incumbent traditional industrial manufacturing firms in their offerings remains far too low compared with the big claims made about the contribution of AI to the world economy. Incumbents’ current view of AI as merely a technology resource with which to increase automation and efficiency is far too narrow and needs to be changed. Instead, AI can be a dynamic capability giving competitive advantage to incumbents if they explore AI’s value implications in their business models (BMs). Furthermore, current value discussions both generally and within BMs are too individualistic, transactional, and operational and lack the process orientation required for a more comprehensive understanding of the value potential of AI, leading to business model innovation (BMI) for incumbents.With the overall ambition to support AI incorporation into incumbents’ offerings, this thesis proposes a process-based value framework for AI-driven BMs. For this purpose, this thesis research has produced five studies, including various methods, to understand the value processes within BMs in light of digitalization. Owing to the complex nature of the phenomenon under study, the methods used in the studies include quasi-experiments, case studies, semi-structured interviews, in-depth interviews, card sorting, longitudinal research, quantitative survey analysis, literature review, and literature mapping as required and relevant for the different studies.The studies highlight that digital and AI technologies could potentially create new values (e.g., self-learning and intelligent offerings) for different stakeholders, provide new mechanisms for value delivery through digital servitization, and enable previously impossible value-capture techniques such as value-based dynamic pricing within BMs. It can be observed that value in digital BMI is constantly changing and hence needs to be focused on explicitly within BMs and introduced as a value-identification process. Furthermore, AI entails new value process relationships in which value creation and delivery are much more integrated, dynamic, and personalized per customer, highlighting the required emphasis on hyper-personalization.This thesis analyzes the challenges and opportunities AI has provided within BMI in order to propose a modified value process framework for AI-enabled BMs, including value identification, value manifestation, and value capture, compared with the commonly proposed BM value processes of value creation, value delivery, and value capture. The proposed view consolidates value processes, including the individual, relational, and transactional values required by AI-based BMs, rather than just the transactional view of value covered through standard BM value processes, a view that highlights only the operational aspect of value within BMs.Furthermore, this thesis discusses how the current approach to AI within BMI is more from a resource perspective and therefore cannot realize the full potential of AI technology. The thesis elaborates on how incumbents can utilize AI technology within BMI to create a competitive advantage by concentrating on the process view of value through the proposed new framework for handling highlighted opportunities and challenges. The new role of ecosystem stakeholders as innovation partners within BMI utilizing data/AI-driven capabilities and organizational value changes is discussed. Finally, this thesis highlights implications for BMI theory in terms of new value processes and implications for practice in terms of the BMI framework, concluding by presenting challenges and opportunities arising from the usage of AI within BMI by incumbents.
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7.
  • Andreasson, Martin, 1993-, et al. (author)
  • Dynamics of related and unrelated digital diversification in established firms : Strategies, programs, process, and outcomes
  • 2024
  • In: Technological forecasting & social change. - : Elsevier. - 0040-1625 .- 1873-5509. ; 202
  • Journal article (peer-reviewed)abstract
    • Research on digital transformation focuses on business models and technological innovation but it often lacks a detailed exploration of how firms develop, execute, and evaluate related and unrelated digital diversification strategies. To address this gap, this study employs a multiple case study approach to uncover the varied processes and outcomes of implementing digital diversification programs in established firms. The findings reveal that established firms frequently refine and adjust their digital diversification strategies to achieve desired results. Specifically, related digital diversification strategies benefit from well-defined market segments, clear technological focus, and robust senior management support. In contrast, unrelated digital diversification strategies thrive through extensive exploration and experimentation with novel digital technologies and markets, reduced senior managerial intervention and increased middle- and lower-level management involvement. Semi-related digital diversification strategies, which incorporate elements of both related and unrelated approaches, often encounter tensions owing to conflicting traditional and new program execution methods, posing significant realization challenges. Key factors identified as instrumental in the success of digital diversification strategies include technology, markets, management & organization, and program execution. The study concludes by discussing the managerial and academic implications and offers recommendations for future research in this domain.
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8.
  • Simonsson, Johan, et al. (author)
  • Perception of value delivered in digital servitization
  • 2021
  • In: Industrial Marketing Management. - : Elsevier. - 0019-8501 .- 1873-2062. ; 99, s. 167-174
  • Journal article (peer-reviewed)abstract
    • This paper intends to explore the perception of value delivered in digital servitization in a business-to-business context of incumbent manufacturing firms. We investigate how individual entrepreneurial orientation (IEO) influence and affect the adoption of such digital servitization strategies. The observations are made through a survey and empirical assessment across a couple of large industrial organizations interested in servitization and digitalization. Findings contribute to the existing literature on digital servitization and business model innovation by suggesting that IEO influence perceived value in delivering digital service offers, whereas functional affiliation does not. Further observations suggest that digital capabilities can become a crucial enabler for the perception of value delivered in digital business models by providing swift access to data for affected stakeholders.
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  • Result 1-8 of 8

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