Episodic supply chains at times of disruption

PublicationArticle (with peer review)

Christina Öberg

Abstract

Purpose

Additive manufacturing has been described as converting supply chains into demand chains. By focusing on metal additive manufacturing as a contemporary technology causing ongoing disruption to the supply chain, the purpose of this paper is to describe and discuss how incumbent firms act during an ongoing, transformational disruption of their supply chain.

Design/methodology/approach

Interviews and secondary data, along with seminars attracting approximately 600 individuals operating in metal additive manufacturing, form the empirical basis for this paper.

Findings

The findings of this paper indicate how disruption occurs at multiple positions in the supply chain. Episodic positions as conceptualised in this paper refer to how parties challenged by disruption attempt to reach normality while speeding the transformational disruption.

Originality/value

This paper contributes to previous research by theorising about episodic positions in light of a supply chain disruption. The empirical data are unique in how they capture supply chain change at the time of disruption and illustrate disruptive, transformational change to supply chains. The paper interlinks research on disruption from the innovation and supply chain literature, with contributions to both.

Öberg, C. (2022). Episodic supply chains at times of disruption. Supply Chain Management: An International Journal.

Towards a typology of sharing economy business model transformation

Article (with peer review)Publication

Öberg, C.

Publication year

2023

Published in

Technovation, 123, 102722.

Abstract

The development of the sharing economy has resulted in a plethora of sharing economy business models. This paper takes its motivation from the increased variety of sharing economy business models to develop a typology of sharing economy business model transformations. It does so through creating a timeline of the sharing economy development, capturing business model configurations as activity systems along that development, and tracing mechanisms affecting sharing economy business model transformations. The paper thereby interlinks the sharing economy development on the phenomenon level with transformations of its business models. The paper contributes to past research by presenting a systematic account of the development of the sharing economy and its resulting business model configurations and by developing a typology focusing on the types of changes that have transformed the sharing economy business models and resulted in the plethora of business models.

The article can be accessed here.

Social media analytics for innovation management research: A systematic literature review and future research agenda

Article (with peer review)Publication

Geissinger, A., Laurell, C., Öberg, C., & Sandström, C.

Publication year

2023

Published in

Technovation, 123, 102712.

Abstract

New trends in innovation management may require new research methods. Social media analytics (SMA)—a method for capturing and analyzing data from user-generated content published on online platforms—has emerged as a complement or even alternative to more traditional research methods. This article systematically reviews and assesses the use of SMA and its potential for innovation management research. Our results show that use of SMA is still in an emergent phase, although it has become increasingly popular over the past decade. Our literature review illustrates that SMA provides new opportunities for innovation management scholars to enhance customer-, market-, technology-, and society-focused innovation research in several ways. In this paper we develop a research agenda and suggest areas for future research using SMA in innovation management.

The article can be accessed here.

Trust and the sharing economy

Article (with peer review)Publication

Pelgander, L., Öberg, C., & Barkenäs, L.

Publication year

(2022).

Published in

Digital Business, 100048.

Abstract

Trust is intimately connected with relational interactions, but does it also have a role to play in transactional exchanges? How would it differ? While trust has been discussed extensively in sharing economy research, the focus has been on trust cues created in exchanges between strangers, thereby approaching trust empirically rather than theoretically. Focusing on user trust, this paper investigates how trust constructs from relational interactions manifest in the sharing economy. This paper bridges sharing economy research with trust as a theoretical construct to investigate the well-established variables of ability, benevolence and integrity as components of trust in the sharing economy. The paper is based on a questionnaire survey of 175 users of Uber’s co-driving service UberPop. Descriptive and regression analyses were conducted focusing on user trust in the platform and providers. The findings indicate how trust in transactional exchanges is shaped differently compared with trust in relational interactions. User trust in providers, which diminishes over time, is based on emotional traits, while user trust in the platform is based on functional components. The platform and providers thereby complement each other in terms of the trust created. This paper contributes to research on trust by focusing on trust in transactional exchanges, and to research on the sharing economy by investigating trust based on theoretical constructs.

Abstract

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