| 1. |
- Eriksson, Darek M., et al.
(author)
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Organization information system : extending organizational cognition through intelligent artifacts
- 1996
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In: Cybernetics and systems. - : Informa UK Limited. - 0196-9722 .- 1087-6553. ; 27:3, s. 235-264
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Journal article (peer-reviewed)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.
(author)
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Information and Communication Technologies, Society and Human Beings: Theory and Framework
- 2010. - 1
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Book (other academic/artistic)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.
(author)
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A framework for the modelling of tempo-spatial enterprise
- 2007
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In: International Journal of Applied Systemic Studies. - 1751-0589 .- 1751-0597. ; 1:3, s. 231-247
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Journal article (peer-reviewed)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.
(author)
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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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In: Systemic Practice and Action Research. - London : Springer. - 1094-429X .- 1573-9295. ; 10:4, s. 395-408
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Journal article (peer-reviewed)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.
(author)
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Financing Start-Ups Through Artificial Intelligence
- 2022
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In: Financing Startups. - Cham : Springer. - 9783030940577 - 9783030940584 - 9783030940607 ; , s. 149-162
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Book chapter (peer-reviewed)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.
(author)
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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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In: International Journal of Information Management. - : Elsevier. - 0268-4012 .- 1873-4707. ; 73
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Journal article (peer-reviewed)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.
(author)
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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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In: The International Entrepreneurship and Management Journal. - : Springer. - 1554-7191 .- 1555-1938.
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Journal article (peer-reviewed)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.
(author)
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Value creation through omnichannel practices for multi-actor customers : an evolutionary view
- 2022
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In: Journal of Enterprising Communities. - : Emerald Group Publishing Limited. - 1750-6204 .- 1750-6212. ; 16:1, s. 93-118
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Journal article (peer-reviewed)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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| 11. |
- Costa Climent, Ricardo, et al.
(author)
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Value creation through the evolution of business model themes
- 2021
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In: Journal of Business Research. - : Elsevier. - 0148-2963 .- 1873-7978. ; 122, s. 353-361
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Journal article (peer-reviewed)abstract
- A conceptual framework is proposed to examine value creation through the evolution of business model themes. A critical assessment of the literature on business models, business model themes, and their evolution is presented. This assessment highlights the fact that business model themes are typically theorized as being static. Instead, the framework presented here characterizes business models and the business model themes of value creation as co-evolving within an evolving industry. The framework provides a set of propositions that specify how firms can create value by entering an industry, reacting to imitators, and co-evolving with product market strategies and with environmental factors. This study contributes to the literature on value creation through business model themes.
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| 12. |
- Haftor, Darek M., 1969-, et al.
(author)
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A pathway to bypassing market entry barriers from data network effects : A case study of a start-up's use of machine learning
- 2023
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In: Journal of Business Research. - : Elsevier. - 0148-2963 .- 1873-7978. ; 168
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Journal article (peer-reviewed)abstract
- Highly valued firms exploit machine learning to activate data network effects. Data is gathered and analyzed to generate predictions and recommendations. This loop locks in existing service users and locks out potential competitors, thus creating a sizeable entry barrier, particularly for small and medium-sized (SME) enterprises. The literature does not describe the possible pathways to enter markets protected by incumbents’ data network effects. This study examines an SME that successfully entered such a market. A key finding is that, for successful market entry, an SME can focus on different stakeholders from those that are targeted by incumbents, provided such stakeholders can legitimize the SME's use of user data generated by incumbents.
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| 13. |
- Haftor, Darek M., 1969-, et al.
(author)
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CO2 reduction through digital transformation in long-haul transportation : Institutional entrepreneurship to unlock product-service system innovation
- 2021
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In: Industrial Marketing Management. - : Elsevier. - 0019-8501 .- 1873-2062. ; 94, s. 115-127
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Journal article (peer-reviewed)abstract
- Industrial firms seek to develop offerings that can reduce their negative ecological impact while still being economically viable. Initial studies of these offerings focused on the what and the why. Only recently have studies addressed how to pursue these efforts. The literature generally ignores the underlying mechanisms of how such offerings are created and operated. This paper reports a longitudinal case study of an industrial firm's innovative offering. This offering combines heavy duty vehicles and related services for long-haul transportation. It enables road transportation firms to reduce fuel consumption by one quarter and thereby cut CO2 emissions and fuel costs. A multi-theoretical investigation of that offering contributes to the literature by providing: (i) a rich characterization of an industrial organization's offering that combines economic viability with a much lower negative environmental impact; (ii) a chain of underlying mechanisms that enable such an offering to emerge, including activation of institutional entrepreneurship for industrial entrepreneurship; and (iii) an articulation of the value of using multi-theoretical inquiries of ecological industrial offerings instead of seeking a new isolated theory.
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| 14. |
- Haftor, Darek M., 1969-, et al.
(author)
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How machine learning activates data network effects in business models : Theory advancement through an industrial case of promoting ecological sustainability
- 2021
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In: Journal of Business Research. - : Elsevier. - 0148-2963 .- 1873-7978. ; 131, s. 196-205
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Journal article (peer-reviewed)abstract
- A firm’s business model accounts for direct and indirect network effects, where the network size is a key enabler of value creation and appropriation. Additional conception of a business network’s contribution is provided by a recent advancement of the theory of data network effects, where machine learning is used to analyze large data sets to learn, predict, and improve. The more learning there is, the more value is generated, producing ever more data and learning and creating a virtuous circle. For the first time, this study combines the theory of data network effects with business model theory. The contribution lies in extending a business model’s lock-in effects through direct and indirect network effects to encompass data network effects. This paper provides a case study that supports the theoretical advancement and illustrates how this form of machine learning can increase profitability while reducing negative ecological impacts in an industrial context.
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| 15. |
- Knobel, Katarina, et al.
(author)
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Omnichannel-based value creation through the activation of business model themes : A multi-case exploration of retail firms
- 2024
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In: ESIC Market. - : Fundacion de Estudios Superiores e Investigacion ESIC. - 0212-1867 .- 1989-3574. ; 55:1
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Journal article (peer-reviewed)abstract
- Objective: This study investigates the impact of omnichannel practices in retail, driven by both the challenge of product commodification and the opportunities arising from digital technology adoption by consumers. The primary aim is to understand how these practices enhance customer purchase processes through seamless interactions across multiple channels and contribute to value creation.Methodology: Employing a qualitative multi-case study approach, the research examines 14 retailers to explore the implementation and outcomes of omnichannel practices. This methodology provides in-depth insights into the operational and strategic aspects of omnichannel retailing.Results: The study reveals that omnichannel practices contribute to value creation in four distinct themes: novelty, efficiency, complementarity, and lock-in. Contrary to the prevailing assumption in managerial orthodoxy that primarily associates omnichannel practices with efficiency, this research demonstrates that these practices can be leveraged in a more multifaceted manner. It also shows that activation of these value creation themes is not binary, as previously suggested, but varies in degrees and combinations.Practical Implications: Managers in the retail sector are advised to carefully consider which operational solutions to integrate into their omnichannel practices. This strategic selection should aim to activate a specific combination of value creation themes in a certain order and to a certain degree. The research is limited by its reliance on a qualitative approach and a relatively small sample size of 14 retailers. In the future, independent studies with large empirical and quantitative analyses should be done in order to confirm these insights.
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| 16. |
- Pashkevich, Natallia, 1983-, et al.
(author)
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Accounting for cognitive time in activity-based costing : A technology for the management of digital economy
- 2023
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In: Technological forecasting & social change. - : Elsevier. - 0040-1625 .- 1873-5509. ; 186
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Journal article (peer-reviewed)abstract
- Human cognitive time has become a key asset of the digital economy, yet we lack the means to manage it. In response to that need, we propose a technology to manage cognitive time in economic organizations. This technology is called cognitive time-driven activity-based costing (CTABC), and it extends the established time-driven activity-based costing technology. CTABC accounts for human agents' cognitive time and the fact that cognitive time typically does not equal physical clock time for a given economic activity. CTABC also unearths a hidden lever effect that leads to considerable economic inefficiencies. An illustration of the proposed CTABC shows the limitations of contemporary approaches to cost assessments, which ignore errors caused by workers' cognitive time estimation. This paper contributes to the literature on cost accounting technology and the future of the digital economy. Specifically, it enriches the literature on the problem of the accuracy of employees' time estimates.
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