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Madanaguli, A., Sjödin, D., Parida, V. & Mikalef, P. (2024). Artificial intelligence capabilities for circular business models: Research synthesis and future agenda. Technological forecasting & social change, 200, Article ID 123189.
Open this publication in new window or tab >>Artificial intelligence capabilities for circular business models: Research synthesis and future agenda
2024 (English)In: Technological forecasting & social change, ISSN 0040-1625, E-ISSN 1873-5509, Vol. 200, article id 123189Article in journal (Refereed) Published
Abstract [en]

This study explores the interlink between AI capabilities and circular business models (CBMs) through a literature review. Extant literature reveals that AI can act as efficiency catalyst, empowering firms to implement CBM. However, the journey to harness AI for CBM is fraught with challenges as firms grapple with the lack of sophisticated processes and routines to tap into AI's potential. The fragmented literature leaves a void in understanding the barriers and development pathways for AI capabilities in CBM contexts. Bridging this gap, adopting a capabilities perspective, this review intricately brings together four pivotal capabilities: integrated intelligence capability, process automation and augmentation capability, AI infrastructure and platform capability, and ecosystem orchestration capability as drivers of AI-enabled CBM. These capabilities are vital to navigating the multi-level barriers to utilizing AI for CBM. The key contribution of the study is the synthesis of an AI-enabled CBM framework, which not only summarizes the results but also sets the stage for future explorations in this dynamic field.

Place, publisher, year, edition, pages
Elsevier Inc., 2024
Keywords
AI future research agenda, Artificial intelligence, Business model innovation, Circular business models
National Category
Business Administration
Research subject
Entrepreneurship and Innovation
Identifiers
urn:nbn:se:ltu:diva-103988 (URN)10.1016/j.techfore.2023.123189 (DOI)2-s2.0-85182439398 (Scopus ID)
Funder
Swedish Research Council Formas, 2020-01791Vinnova
Note

Validerad;2024;Nivå 2;2024-02-16 (joosat);

Funder: Norwegian Research Council;

Full text license: CC BY

Available from: 2024-01-29 Created: 2024-01-29 Last updated: 2024-02-16Bibliographically approved
Alharmoodi, A. A., Khan, M., Mertzanis, C., Gupta, S., Mikalef, P. & Parida, V. (2024). Co-creation and critical factors for the development of an efficient public e-tourism system. Journal of Business Research, 174, Article ID 114519.
Open this publication in new window or tab >>Co-creation and critical factors for the development of an efficient public e-tourism system
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2024 (English)In: Journal of Business Research, ISSN 0148-2963, E-ISSN 1873-7978, Vol. 174, article id 114519Article in journal (Refereed) Published
Abstract [en]

This study identifies the factors that guide the adoption of a public e-tourism system resulting in value co-creation in the UAE. Integrating and comparing factors drawn from the third version of the Technology Acceptance Model (TAM3), the Technology-Task-Fit (TTF) theory, and push-to-use, an Analytic Hierarch Process (AHP) model was implemented with data collected using a structured questionnaire from purposively selected UAE e-tourism experts (N = 15) and analyzed using Microsoft Excel. The findings revealed that usefulness, convenience of use, and push-to-use were the most critical aspects for achieving an efficient public e-tourism system that allows for value co-creation in that order of ranking. The findings also suggest that computer self-efficiency is the most critical factor in effectively establishing an e-tourism system followed by government push-to-use. In conclusion, the findings demonstrate that usefulness and ease-of-use backed by computer self-efficiency, result demonstrability, and output quality are vital for the efficient adoption of a public e-tourism system resulting in value co-creation in the UAE.

Place, publisher, year, edition, pages
Elsevier, 2024
Keywords
Analytic Hierarchy Process, Public E-Tourism, Push-To-Use, Technology Acceptance Model-3, Technology Task Fit Model, Value Co-creation
National Category
Computer and Information Sciences Mathematical Analysis
Research subject
Entrepreneurship and Innovation
Identifiers
urn:nbn:se:ltu:diva-104300 (URN)10.1016/j.jbusres.2024.114519 (DOI)2-s2.0-85183694813 (Scopus ID)
Note

Funder: Slovenian Research Agency;

Full text license: CC BY 4.0

Available from: 2024-02-19 Created: 2024-02-19 Last updated: 2024-02-19
Shen, L., Shi, Q., Parida, V. & Jovanovic, M. (2024). Ecosystem orchestration practices for industrial firms: A qualitative meta-analysis, framework development and research agenda. Journal of Business Research, 173, Article ID 114463.
Open this publication in new window or tab >>Ecosystem orchestration practices for industrial firms: A qualitative meta-analysis, framework development and research agenda
2024 (English)In: Journal of Business Research, ISSN 0148-2963, E-ISSN 1873-7978, Vol. 173, article id 114463Article in journal (Refereed) Published
Abstract [en]

This study ventures into the dynamic realm of ecosystem orchestration for industrial firms, emphasizing its significance in maintaining competitive advantage in the digital era. The fragmented research on this important subject poses challenges for firms aiming to navigate and capitalize on ecosystem orchestration. To bridge this knowledge gap, we conducted a comprehensive qualitative meta-analysis of 31 case studies and identified multifaceted orchestration practices employed by industrial firms. The core contribution of this research is the illumination of five interdependent but interrelated orchestration practices: strategic design, relational, resource integration, technological, and innovation. Together, these practices are synthesized into an integrative framework termed the “Stirring Model,” which serves as a practical guide to the orchestration practices. Furthermore, the conceptual framework clarifies the synergy between the identified practices and highlights their collective impact. This study proposes theoretical and practical implications for ecosystem orchestration literature and suggests avenues for further research.

Place, publisher, year, edition, pages
Elsevier Inc., 2024
Keywords
Coordination, Ecosystem orchestration, Governance, Innovation ecosystem, Orchestration practices, Qualitative meta-analysis
National Category
Business Administration
Research subject
Entrepreneurship and Innovation
Identifiers
urn:nbn:se:ltu:diva-104173 (URN)10.1016/j.jbusres.2023.114463 (DOI)2-s2.0-85183339396 (Scopus ID)
Note

Funder: Ministry of Science and Technology of the People's Republic of China (G2021136006L);

Full text license: CC BY

Available from: 2024-02-05 Created: 2024-02-05 Last updated: 2024-02-05
Chirumalla, K., Kulkov, I., Parida, V., Dahlquist, E., Johansson, G. & Stefan, I. (2024). Enabling battery circularity: Unlocking circular business model archetypes and collaboration forms in the electric vehicle battery ecosystem. Technological forecasting & social change, 199, Article ID 123044.
Open this publication in new window or tab >>Enabling battery circularity: Unlocking circular business model archetypes and collaboration forms in the electric vehicle battery ecosystem
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2024 (English)In: Technological forecasting & social change, ISSN 0040-1625, E-ISSN 1873-5509, Vol. 199, article id 123044Article in journal (Refereed) Published
Abstract [en]

To facilitate this transition, firms operating in the electric vehicle (EV) battery ecosystem must reassess their value creation, capture, and delivery methods. Although EV battery second life presents a promising solution for circularity, many vehicle manufacturers and stakeholders in the battery ecosystem struggle to adapt their organizations internally and externally due to a lack of insights into suitable circular business models. The purpose of this study is to identify viable archetypes of circular business models for EV battery second life and examine their implications on company collaborations within the EV battery ecosystem. Three main archetypes of circular business models are identified (i.e., extending, sharing, and looping business models) and further divided into eight sub-archetypes. These models are elucidated in terms of key business model dimensions, including value proposition, value co-creation, value delivery, and value capture. The paper provides visual representations of the necessary interactions and collaborations among companies in the EV battery ecosystem to effectively implement the proposed business model archetypes. This research contributes to the theory of circular business models in general, with specific relevance to EV battery circularity.

Place, publisher, year, edition, pages
Elsevier Inc., 2024
Keywords
Battery second life, Business model innovation, Circular economy, Climate neutrality, EV batteries, Second life applications
National Category
Environmental Management
Research subject
Entrepreneurship and Innovation
Identifiers
urn:nbn:se:ltu:diva-103505 (URN)10.1016/j.techfore.2023.123044 (DOI)2-s2.0-85179128201 (Scopus ID)
Note

Validerad;2024;Nivå 2;2024-02-12 (joosat);

Funder: Knowledge Foundation in Sweden [1602, 2019]; Excellence in Production Research (XPRES), manufacturing engineering in Sweden [0219, 2016];

Full text license: CC BY

Available from: 2024-01-08 Created: 2024-01-08 Last updated: 2024-02-12Bibliographically approved
Reim, W., Lenka, S., Parida, V. & Frishammar, J. (2024). Value Leakage in Product-Service System Provision: A Business Model Alignment Perspective. IEEE transactions on engineering management, 71, 940-951
Open this publication in new window or tab >>Value Leakage in Product-Service System Provision: A Business Model Alignment Perspective
2024 (English)In: IEEE transactions on engineering management, ISSN 0018-9391, E-ISSN 1558-0040, Vol. 71, p. 940-951Article in journal (Refereed) Published
Abstract [en]

To stay competitive, manufacturing companies offer product–service systems (PSS) to avoid commoditization of their products. The potential to create value through PSS offerings lies in a company's ability to successfully implement the PSS business model. However, many companies are unable to realize the benefits because PSS represents significant changes to all the business model elements, which comprise value creation, value delivery, and value capture. This leads to misalignment among the business model elements, which is a topic of interest within PSS and business model literatures. This article aims to provide empirical insights into the business-model-element alignment problems and conceptualize their consequences, which manufacturing companies face during PSS implementation. This article utilizes an abductive multicase study of three Swedish manufacturing companies with long-term experience of PSS provision to provide novel insights by identifying six alignment problems that companies face as a consequence of the interaction among the three business model elements. Furthermore, we contribute to both the PSS and business model literature by conceptualizing the consequences of business model element alignment problems, explaining the three value leakages that occur as a result of inappropriate resource and capability utilization, unattractive offer configurations, and inefficient service network processes in PSS provision.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2024
Keywords
Advanced services, alignment, business model, product-service systems (PSS), servitization, value destruction, value leakage
National Category
Business Administration
Research subject
Entrepreneurship and Innovation
Identifiers
urn:nbn:se:ltu:diva-89527 (URN)10.1109/TEM.2022.3144741 (DOI)000751494400001 ()2-s2.0-85124176094 (Scopus ID)
Note

Validerad;2023;Nivå 2;2023-12-04 (hanlid);

Full text license: CC BY

Available from: 2022-03-14 Created: 2022-03-14 Last updated: 2023-12-04Bibliographically approved
Burström, T., Lahti, T., Parida, V., Wartiovaara, M. & Wincent, J. (2023). A definition, review, and extension of global ecosystems theory: Trends, architecture and orchestration of global VCs and mechanisms behind unicorns. Journal of Business Research, 157, Article ID 113605.
Open this publication in new window or tab >>A definition, review, and extension of global ecosystems theory: Trends, architecture and orchestration of global VCs and mechanisms behind unicorns
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2023 (English)In: Journal of Business Research, ISSN 0148-2963, E-ISSN 1873-7978, Vol. 157, article id 113605Article in journal (Refereed) Published
Abstract [en]

The prior Venture Capital research (VC) has examined the micro processes of syndication and alliance formation. However, a macro and more systemic view is lacking, where past research has neglected the global VC-ecosystem. Using a qualitative method and an abductive approach, we combine and integrate two strands of research, on VC and ecosystems, to shed light on the crucial dynamics in the VC industry. We provide a VC-ecosystem definition and portray the ecosystem architecture in a segmentation matrix of investor types and roles, including Active Hubs and Complementors. Moreover, our findings identify and explain central Hub orchestration mechanisms: enablers, governance, partner management, co-specialization, and nurturing. The study concludes with a discussion on the theoretical and managerial implications, and suggestions for future research on a global ecosystem, which operates at a higher level than the traditional firm-level ecosystems on which the previous research generally focuses.

Place, publisher, year, edition, pages
Elsevier Inc., 2023
Keywords
Ecosystem, Hubs, New ventures, Orchestration, Scaleup, Startups, Venture capital
National Category
Business Administration
Research subject
Entrepreneurship and Innovation
Identifiers
urn:nbn:se:ltu:diva-95292 (URN)10.1016/j.jbusres.2022.113605 (DOI)2-s2.0-85145845719 (Scopus ID)
Note

Validerad;2023;Nivå 2;2023-02-03 (sofila)

Available from: 2023-02-03 Created: 2023-02-03 Last updated: 2023-02-03Bibliographically approved
Patel, P. C., Stenmark, M., Parida, V. & Tran, P.-K. (2023). A socio-institutional perspective on the reluctance among the elderly concerning the commercialization of 3D surgical video technology in Sweden. Journal of Innovation and Knowledge, 8(2), Article ID 100361.
Open this publication in new window or tab >>A socio-institutional perspective on the reluctance among the elderly concerning the commercialization of 3D surgical video technology in Sweden
2023 (English)In: Journal of Innovation and Knowledge, ISSN 2530-7614, E-ISSN 2444-569X, Vol. 8, no 2, article id 100361Article in journal (Refereed) Published
Abstract [en]

The pursuit of commercialization is at the core of economic activity, and limited commercialization success is generally ascribed to the lower scalability or potential of the venture. Drawing on the anti-profit-taking socio-institutional perspective and innovation resistance theory, commercialization of a value-creating technology could be resisted from the demand side. We use a 3D surgical video technology developed at a Swedish hospital along with Potentially All Pairwise RanKings of all possible alternatives (PAPRIKA) based on conjoint analysis completed by 1437 elderly individuals. We find that, despite the value benefits for the surgeon and the overall social benefits of the technology, the most preferred part-worth utility (i.e., weight) of relative importance is a preference for not commercializing the technology for profit. These findings carry implications for entrepreneurship and institutional theory related to medical innovations in countries with universal healthcare.

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Commercialization, Non-profit institutions, Universal healthcare
National Category
Business Administration Economics
Research subject
Entrepreneurship and Innovation
Identifiers
urn:nbn:se:ltu:diva-96469 (URN)10.1016/j.jik.2023.100361 (DOI)001003664300001 ()2-s2.0-85150859081 (Scopus ID)
Funder
The Kamprad Family Foundation, 20190194
Note

Validerad;2023;Nivå 2;2023-08-15 (hanlid)

Available from: 2023-04-13 Created: 2023-04-13 Last updated: 2023-08-15Bibliographically approved
Mikalef, P., Sharma, K., Chatterjee, S., Chaudhuri, R., Parida, V. & Gupta, S. (2023). All eyes on me: Predicting consumer intentions on social commerce platforms using eye-tracking data and ensemble learning. Decision Support Systems, 175, Article ID 114039.
Open this publication in new window or tab >>All eyes on me: Predicting consumer intentions on social commerce platforms using eye-tracking data and ensemble learning
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2023 (English)In: Decision Support Systems, ISSN 0167-9236, E-ISSN 1873-5797, Vol. 175, article id 114039Article in journal (Refereed) Published
Abstract [en]

Understanding what information is important for consumers when making a purchase-related decision has been a key question for researchers and practitioners ever since the advent of empirical research in commerce. Nevertheless, our knowledge of what information is important has been formed primarily through post-purchase conscious capturing approaches, such as surveys and questionnaires. To overcome these limitations, we ground this research on an exploratory study that captures eye-tracking data during a decision-making task of product selection. Grounded on the dynamic attention theory, we utilize different information types and formats present on a popular social commerce platform, to identify elements which are important when deciding about online product purchase decision. Specifically, we employ a series of prediction algorithms and use an ensemble learning setup to predict the aspects that contribute to product selection by consumers. Our analysis highlights the most important informational cues to accurately predict product selection among alternatives. In addition, the results showcase how such elements shift in importance during the temporal sequence of comparing different product alternatives. Our results provide insight into how we can understand the journey of decision-making for social commerce customers when navigating through information to select a product. In addition, it opens the discussion about the shifts that eye-tracking in combination with machine learning can create for researchers and marketers.

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
Ensemble learning, Eye-tracking, Machine learning, Prediction, Social commerce
National Category
Information Systems Computer Sciences
Research subject
Entrepreneurship and Innovation
Identifiers
urn:nbn:se:ltu:diva-99294 (URN)10.1016/j.dss.2023.114039 (DOI)2-s2.0-85162860268 (Scopus ID)
Note

Validerad;2023;Nivå 2;2023-11-07 (sofila);

Licens fulltext: CC BY License

Available from: 2023-08-08 Created: 2023-08-08 Last updated: 2023-11-07Bibliographically approved
Mikalef, P., Islam, N., Parida, V., Singh, H. & Altwaijry, N. (2023). Artificial intelligence (AI) competencies for organizational performance: A B2B marketing capabilities perspective. Journal of Business Research, 164, Article ID 113998.
Open this publication in new window or tab >>Artificial intelligence (AI) competencies for organizational performance: A B2B marketing capabilities perspective
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2023 (English)In: Journal of Business Research, ISSN 0148-2963, E-ISSN 1873-7978, Vol. 164, article id 113998Article in journal (Refereed) Published
Abstract [en]

The deployment of Artificial Intelligence (AI) has been accelerating in several fields over the past few years, with much focus placed on its potential in Business-to-Business (B2B) marketing. Early reports highlight promising benefits of AI in B2B marketing such as offering important insights into customer behaviors, identifying critical market insight, and streamlining operational inefficiencies. Nevertheless, there is a lack of understanding concerning how organizations should structure their AI competencies for B2B marketing, and how these ultimately influence organizational performance. Drawing on AI competencies and B2B marketing literature, this study develops a conceptual research model that explores the effect that AI competencies have on B2B marketing capabilities, and in turn on organizational performance. The proposed research model is tested using 155 survey responses from European companies and analyzed using partial least squares structural equation modeling. The results highlight the mechanisms through which AI competencies influence B2B marketing capabilities, as well as how the later impact organizational performance.

Place, publisher, year, edition, pages
Elsevier, 2023
Keywords
AI competencies, Artificial intelligence, B2B marketing, Core competencies theory
National Category
Business Administration
Research subject
Entrepreneurship and Innovation
Identifiers
urn:nbn:se:ltu:diva-97266 (URN)10.1016/j.jbusres.2023.113998 (DOI)2-s2.0-85158831277 (Scopus ID)
Note

Validerad;2023;Nivå 2;2023-05-23 (hanlid);

Funder: King Saud University; Slovenian Research Agency (P5–0441)

Available from: 2023-05-23 Created: 2023-05-23 Last updated: 2023-05-23Bibliographically approved
Sjödin, D., Parida, V. & Kohtamäki, M. (2023). Artificial intelligence enabling circular business model innovation in digital servitization: Conceptualizing dynamic capabilities, AI capacities, business models and effects. Technological forecasting & social change, 197, Article ID 122903.
Open this publication in new window or tab >>Artificial intelligence enabling circular business model innovation in digital servitization: Conceptualizing dynamic capabilities, AI capacities, business models and effects
2023 (English)In: Technological forecasting & social change, ISSN 0040-1625, E-ISSN 1873-5509, Vol. 197, article id 122903Article in journal (Refereed) Published
Abstract [en]

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. Employing an analysis of six leading B2B firms engaged in digital servitization, we conceptualize the perceptive, predictive, and prescriptive capacities of AI, which enhance resource efficiency by automating and augmenting data-driven analysis and decision making. We further identify two innovative classes of AI-enabled CBMs – augmentation (e.g., optimization solutions) and automation (e.g., autonomous solutions) business models – and their main circular value drivers. Finally, our research reveals novel dynamic capabilities underpinning the innovation of AI-enabled business models – value discovery, value realization, and value optimization capabilities – which enable manufacturers to make economic and sustainable values come to life in collaborating with customers and ecosystem partners. This study represents an important step in our understanding of how AI can drive circularity and sustainable innovation in industrial digital servitization. Overall, our study contributes to practice and the academic literature on AI, circular business models, and digital servitization by highlighting the potential of AI to empower CBMs for industrial manufacturers and the underlying processes of this digital transformation.

Place, publisher, year, edition, pages
Elsevier Inc., 2023
Keywords
Artificial intelligence, Circular business models, Circular economy, Digital servitization, Digital transformation, Ecosystem, Platform, Sustainability, Twin transition
National Category
Business Administration
Research subject
Entrepreneurship and Innovation
Identifiers
urn:nbn:se:ltu:diva-101983 (URN)10.1016/j.techfore.2023.122903 (DOI)2-s2.0-85173884486 (Scopus ID)
Note

Validerad;2023;Nivå 2;2023-11-08 (marisr);

License fulltext: CC BY

Available from: 2023-10-31 Created: 2023-10-31 Last updated: 2023-11-08Bibliographically approved
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ORCID iD: ORCID iD iconorcid.org/0000-0003-3255-414X

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