| 1. |
- Eriksson, Darek M., et al.
(författare)
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Organization information system : extending organizational cognition through intelligent artifacts
- 1996
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Ingår i: Cybernetics and systems. - : Informa UK Limited. - 0196-9722 .- 1087-6553. ; 27:3, s. 235-264
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Tidskriftsartikel (refereegranskat)abstract
- The question of investigation is, What can intelligent artifacts mean to a command system? By means of a theoretical synthesis of previous works, the present work starts with an epistemological discussion focused on systems thinking. With the organization in focus, an extrospective approach is taken in which a global discussion results in some implications for the organizational system design. This system is considered as a sociotechnological system; consequently, the nature of systems (i.e., complexity) and the nature of human beings (i.e., parts of the systems and who are to be served by the artifacts) are discussed. The result argues that intelligent artifacts can extend the intelligent behavior of organizations. Examples of computer system architecture and software architecture are given.
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| 2. |
- Haftor, Darek, M., 1969-, et al.
(författare)
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Information and Communication Technologies, Society and Human Beings: Theory and Framework
- 2010. - 1
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Bok (övrigt vetenskapligt/konstnärligt)abstract
- There is a real need for an enlightening new volume to explore the recent developments and topical analyses of the psychological and social effects of ICT.Information and Communication Technologies, Society and Human Beings: Theory and Framework addresses the extensive area of effects of ICT on human beings and the interaction between ICT, individuals, organizations, and society. This premier reference source features contributions from over 45 distinguished researchers from around the world, each presenting high quality research on social informatics, human computer interaction, organizational behavior, and macro-ergonomics. This unique publication is perfect for students, teachers, researchers, engineers, practitioners, managers, policy-makers, and media alike.
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| 3. |
- Eriksson, Darek M., et al.
(författare)
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A framework for the modelling of tempo-spatial enterprise
- 2007
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Ingår i: International Journal of Applied Systemic Studies. - 1751-0589 .- 1751-0597. ; 1:3, s. 231-247
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Tidskriftsartikel (refereegranskat)abstract
- A framework for the modelling of enterprise operations is presented, aiming at enabling a conception of enterprise operations in three explicitly aligned perspectives: its what, or morphology; its when, or temporal position; its where, or spatial position. It is derived from the precepts of a General Systems Theory and its General Process Theory. The practical and empirical benefit of this framework is indicated by a real-life case, a so-called 'Transatlantic Shopping Process', where the models constructed enable management of complexities emerging from enterprise operations.
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| 4. |
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| 5. |
- Eriksson, Darek M., 1969-, et al.
(författare)
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Postmodernity and systems science : An evaluation of J.-L. Le Moigne's contribution to the management of the present civilization
- 1997
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Ingår i: Systemic Practice and Action Research. - London : Springer. - 1094-429X .- 1573-9295. ; 10:4, s. 395-408
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Tidskriftsartikel (refereegranskat)abstract
- In this text, a French school of systems thought is evaluated with reference to its contribution to postmodernity. The main conclusion is that this system provides some pertinent contribution but that there are also some domains where it does not provide much help. Both these domains are identified and discussed. The text starts with a discussion of the postmodern challenge. This is followed by a presentation and critical evaluation of the theory under consideration. The latter gives rise to the Discussion and Conclusion.
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| 6. |
- Costa Climent, Ricardo, et al.
(författare)
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Financing Start-Ups Through Artificial Intelligence
- 2022
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Ingår i: Financing Startups. - Cham : Springer. - 9783030940577 - 9783030940584 - 9783030940607 ; , s. 149-162
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Bokkapitel (refereegranskat)abstract
- The incredible speed with which artificial intelligence (AI) is entering all sectors is forcing companies into a race to link their businesses with AI. This trend is also driving companies, strategists, pioneers, entrepreneurs and researchers to use AI to design new strategies, create new sources of business value and manage innovative forms of financing. This scenario accurately describes the current situation of start-ups. New firms are forced to connect with AI in order to develop, either because of its importance for their products or services or because funders use it to make investment or purchase decisions. Therefore, to define the impact of AI on the financing of start-ups, we must differentiate between two contexts: the financing of technological start-ups based on AI and the use of AI by investors and funders to support the most cutting-edge and profitable start-ups. This chapter begins with an introduction to start-ups, the diversification of financial activities and the coherence of these new models with existing theoretical business frameworks that explain outcomes. Subsequently, it investigates the theory on AI in start-ups, providing real examples of emerging companies that illustrate these two contexts. The chapter provides examples of AI-based start-ups that have already been financed and companies that use AI to support the development of start-ups through either financial investment or logistical support.
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| 7. |
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| 8. |
- Costa-Climent, Ricardo, 1972-, et al.
(författare)
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Using machine learning to create and capture value in the business models of small and medium-sized enterprises
- 2023
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Ingår i: International Journal of Information Management. - : Elsevier. - 0268-4012 .- 1873-4707. ; 73
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Tidskriftsartikel (refereegranskat)abstract
- Start-ups have revolutionised many economic ecosystems, becoming innovation pioneers around the world. Most are based on data-driven business models, particularly relying on machine learning technologies. However, not all start-ups that use machine learning technologies manage to create and capture value. The existing literature on the use value enabled by information technologies does not take into account the unique capabilities of machine learning. The theory of data network effects offers a promising explanation of how to create value using machine learning. However, it does not explicitly describe how to capture value using machine learning. In contrast, business model theory explains how companies use technologies to create and capture value, but not specifically through the use of machine learning technology. Therefore, this study aims to improve the theoretical understanding of the key drivers of value creation and capture in start-ups with business models driven by this kind of technology. Statistical techniques are used in a sample of 122 start-ups to explore the theoretical relationships between these two theories. The analysis reveals the link between specific value creation and capture factors of the two theories, such as efficiency, novelty, and performance expectancy. The study also provides evidence of the need to adopt a co-evolutionary perspective of value creation and capture through the use of machine learning.
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| 9. |
- Costa-Climent, Ricardo, et al.
(författare)
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Value creation and appropriation from the use of machine learning : a study of start-ups using fuzzy-set qualitative comparative analysis
- 2023
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Ingår i: The International Entrepreneurship and Management Journal. - : Springer. - 1554-7191 .- 1555-1938.
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Tidskriftsartikel (refereegranskat)abstract
- This study focuses on how start-ups use machine learning technology to create and appropriate value. A firm’s use of machine learning can activate data network effects. These data network effects can then create perceived value for users. This study examines the interaction between the activation of data network effects by start-ups and the value that they are able to create and appropriate based on their business model. A neo-configurational approach built on fuzzy-set qualitative comparative analysis (fsQCA) explores how the design of a firm’s business model interacts with various aspects to explain value creation and appropriation using machine learning. The study uses a sample of 122 European start-ups created between 2019 and 2022. It explores the system of interactions between business model value drivers and value creation factors under the theory of data network effects. The findings show that start-ups primarily activate the efficiency and novelty elements of value creation and value capture.
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| 10. |
- Costa Climent, Ricardo, et al.
(författare)
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Value creation through omnichannel practices for multi-actor customers : an evolutionary view
- 2022
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Ingår i: Journal of Enterprising Communities. - : Emerald Group Publishing Limited. - 1750-6204 .- 1750-6212. ; 16:1, s. 93-118
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Tidskriftsartikel (refereegranskat)abstract
- PurposeThe purpose of this paper is to investigate the omnichannel practices to porpose a conceptual overview to offer guidance on how to handle their inherent complexities.Design/methodology/approachThis study is based on a literature review of more than 100 academics papers about the multichannel practices and omnichannel practices in the global market.FindingsTo this end, this paper identifies and addresses three limitations of the contemporary omnichannel literature: the failure to articulate the sources of value creation generated by omnichannel practices, the conception of omnichannel as targeting a single customer actor only and the static conception of omnichannel practices. In response to these limitations, this study offers the following: four sources of value creation based on the business model concept, a multi-actor customer conception, where several actors partake in the overall purchase decision and an evolutionary notion of omnichannel practices in terms of their constitution and use as part of the overall evolution of a marketplaceOriginality/valueThe framework presented in this paper provides a map to take new research beyond its current boundaries and an audit tool to help managers identify their firm’s current omnichannel situation, including limitations and opportunities for further development.
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