AI-enabled business-model innovation and transformation in industrial ecosystems: A framework, model and outline for further research

Burström, Thommie; Parida, Vinit; Lahti, Tom; Wincent, Joakim

doi:10.1016/j.jbusres.2021.01.016

Cited by 176 publications

(88 citation statements)

References 67 publications

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“…Its adoption leads to a process of techno-economic transformation (Cainelli et al , 2020). In this sense, innovation plays an important role in the transition to a more sustainable society, providing answers to the demand for the supply of less aggressive products and services to the environment (Burström et al , 2021). The challenge posed by the global environmental crisis and the wave of technological advances of the fourth industrial revolution lies in managing development toward sustainability.…”

Section: Background On Circular Economy Indicatorsmentioning

confidence: 99%

Circular economy indicators and levels of innovation: an innovative systematic literature review

Kuzma¹,

Sehnem²,

Jabbour

et al. 2021

IJPPM

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PurposeThis article aims to analyze the specific indicators of the circular economy (CE) in terms of analytical aspects, scope and breadth of metrics and levels of innovation associated with CE.Design/methodology/approachA literature review was developed with a sample of 125 articles, extracted from Scopus, Web of Science, ScienceDirect, Emerald, Google Scholar, Online Library, Sage, Springer, Taylor and Francis and JSTOR databases.FindingsThe results indicate the lack of integration of the social dimension and predominance of environmental indicators, lack of indicators for the meso level and concentration of metrics for the product level. Methodological criteria of validity and reliability for measurement studies are recommended, as well as paths and proposals for future research in the CE.Research limitations/implicationsThe study’s limitations are linked to the content and method aspects. Although the search was performed in several databases, with a significant number of articles returned compared to other reviews of the topic, the possibilities are limited by the data source and the impossibility of a broader review. The theme is not yet consolidated and this affects the linearity of the revised results. As for the method, the analysis and coding in systematic reviews involve the authors’ capacity for exploration and cognition.Practical implicationsThe article proposes six theoretical propositions and the theoretical framework that portrays the main findings of the study and questions to drive future research in the topic.Social implicationsThe article points out opportunities for companies, universities and the government regarding the possibilities that can be explored to develop knowledge and practice about the field.Originality/valueThis research advances the CE literature by means of providing a review of the indicators, metrics and tools oriented toward the CE literature that contributes to the improvement and consolidation of the various researches in the field.

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Section: Background On Circular Economy Indicatorsmentioning

confidence: 99%

Circular economy indicators and levels of innovation: an innovative systematic literature review

Kuzma¹,

Sehnem²,

Jabbour

et al. 2021

IJPPM

View full text Add to dashboard Cite

show abstract

“…While previous research has shown that IoT platforms go hand-in-hand with the emergent discussion on digital servitization, there are still four important research gaps. First, previous literature looks either at specific digital technologies or their implications for the actual business models (Burstr€ om et al, 2021;Zambetti et al, 2021;Opresnik and Taisch, 2015) or at many digital technologies and their general implications for business models. In this study, the focus is on IoT platforms as well as a technology stack covering technologies for facilitating product connectivity, data collection, data analysis and data utilization for new and existing (digital) services.…”

Section: Motivationmentioning

confidence: 99%

Patterns of business model innovation for advancing IoT platforms

Markfort

Arzt

Kögler

et al. 2021

JOSM

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PurposeThe emergence of Internet of Things (IoT) platforms in product companies opens up new data-driven business opportunities. This paper looks at the emergence of these IoT platforms from a business-model perspective.Design/methodology/approachThe study applies a mixed method with two research studies: Study I–a cluster analysis based on a quantitative survey, and Study II–case studies based on qualitative interviews.FindingsThe findings reveal that there is no gradual shift in a company's business model, but in fact three distinct and sequential patterns of business model innovations: (1) platform skimming, (2) platform revenue generation and (3) platform orchestration.Research limitations/implicationsThe results are subject to the typical limitations of both quantitative and qualitative studies.Practical implicationsThe results provide guidance to managers on how to modify the components of the business model (value proposition, value creation and/or delivery and profit equation) in order to enable platforms to advance.Social implicationsAs IoT platforms continue to advance, product companies achieve better performance in terms of productivity and profitability, and more easily secure competitive advantages and jobs.Originality/valueThe paper makes three original contributions: (1) it is the first quantitative study on IoT platforms in product companies, (2) identifies three patterns of business model innovations and (3) offers a first process perspective for understanding the sequence of these patterns as IoT platforms advance.

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“…Knowledge is the application of information believed to be directly used to make decisions in the act [7]. Knowledge that consists of data and information, then organized and processed to convey understanding, experience, learning and skills applicable to today's business problems [8].…”

Section: Literature Reviewmentioning

confidence: 99%

Knowledge Management Technology Using Seci and Wil to Improve Performance of in-Formation Technology Division in Pangestu Jaya Ltd.

Ipmawati¹,

Hendriana²

2021

mst

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Information Technology Division is one of the divisions in Pangestu Jaya Ltd. which engaged in IT Department, where in this division there are several sub-divisions that are interrelated and have the duty and responsibility of each individual to improve services in The company. Turnover is one of the major obstacles in order to still be able to keep the knowledge technology in the company, because there are still many employees with outsourced status who often do turnover in IT division, so difficult to keep the knowledge. therefor need a knowledge management technology which is capable of storing, distributing knowledge in order to renew even while maintaining corporate knowledge. The system design of this research used SECI and WIL (Work Integrated Learning).

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AI-enabled business-model innovation and transformation in industrial ecosystems: A framework, model and outline for further research

Cited by 176 publications

References 67 publications

Circular economy indicators and levels of innovation: an innovative systematic literature review

Circular economy indicators and levels of innovation: an innovative systematic literature review

Patterns of business model innovation for advancing IoT platforms

Knowledge Management Technology Using Seci and Wil to Improve Performance of in-Formation Technology Division in Pangestu Jaya Ltd.

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