Patterns of business model innovation for advancing IoT platforms. (17th December 2021)
- Record Type:
- Journal Article
- Title:
- Patterns of business model innovation for advancing IoT platforms. (17th December 2021)
- Main Title:
- Patterns of business model innovation for advancing IoT platforms
- Authors:
- Markfort, Lino
Arzt, Alexander
Kögler, Philipp
Jung, Sven
Gebauer, Heiko
Haugk, Sebastian
Leyh, Christian
Wortmann, Felix - Abstract:
- Abstract : Purpose: The 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/approach: The 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. Findings: The 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/implications: The results are subject to the typical limitations of both quantitative and qualitative studies. Practical implications: The 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 implications: As 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/value: The 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 firstAbstract : Purpose: The 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/approach: The 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. Findings: The 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/implications: The results are subject to the typical limitations of both quantitative and qualitative studies. Practical implications: The 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 implications: As 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/value: The 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. … (more)
- Is Part Of:
- Journal of service management. Volume 33:Number 1(2022)
- Journal:
- Journal of service management
- Issue:
- Volume 33:Number 1(2022)
- Issue Display:
- Volume 33, Issue 1 (2022)
- Year:
- 2022
- Volume:
- 33
- Issue:
- 1
- Issue Sort Value:
- 2022-0033-0001-0000
- Page Start:
- 70
- Page End:
- 96
- Publication Date:
- 2021-12-17
- Subjects:
- IoT platform -- Digital servitization -- Business ecosystem -- Business model innovation
Service industries -- Management -- Periodicals
658.005 - Journal URLs:
- http://info.emeraldinsight.com/products/journals/journals.htm?id=josm ↗
http://www.emeraldinsight.com/ ↗ - DOI:
- 10.1108/JOSM-11-2020-0429 ↗
- Languages:
- English
- ISSNs:
- 1757-5818
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5064.010600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25580.xml