Orchestrating industrial ecosystem in circular economy: A two-stage transformation model for large manufacturing companies

Parida, Vinit; Burström, Thommie; Visnjic, Ivanka; Wincent, Joakim

doi:10.1016/j.jbusres.2019.01.006

Cited by 277 publications

(224 citation statements)

References 49 publications

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“…Sustainability-related initiatives may require changes in the traditional relationships between some partners. For instance, a firm needs to extend or transform an existing relationship with supply chain partners to align itself with the principles of the circular economy [180,181]. Effective coordination mechanisms and establishment of clear roles and responsibilities improve inter-organizational relationships and, more specifically, inter-organizational learning outcomes [131,157].…”

Section: Structural Dimension Of Social Capital: Effective Coordinationmentioning

confidence: 99%

A Literature Review of Inter-Organizational Sustainability Learning

Dzhengiz

2020

Sustainability

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Sustainable development goals (SDGs) have become increasingly important for today’s firms as they build sustainability strategies that integrate SDGs into their core activities. Addressing these goals collaboratively, in line with SDG 17—partnerships for the goals, has gained momentum, hence the growing literature on sustainability-oriented partnerships. However, addressing SDGs through partnerships is not straightforward. For firms, contributing to SDGs through alliances and partnerships requires building environmental capabilities and embracing new value frames; in other words, going through the complex process of inter-organizational learning. This paper reviews the literature on sustainability-oriented partnerships with a focus on the inter-organizational learning process. As a result of the review, a model of inter-organizational sustainability learning is presented. This model captures the different levels and types of the inter-organizational learning process; partner and partnership characteristics that impact learning; the environmental conditions that set the conditions for learning to take place; the catalyst and inhibitors of learning; and finally outcomes of learning. This model expands and re-organizes the existing scholarly conversation about inter-organizational learning in the context of sustainability-oriented alliances and partnerships and offers a learning-based understanding of sustainability partnerships to practitioners. Based on the review, the paper proposes ideas for future research and contributes to the development of a future research agenda in the area of sustainability-oriented alliances and partnerships.

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Section: Structural Dimension Of Social Capital: Effective Coordinationmentioning

confidence: 99%

A Literature Review of Inter-Organizational Sustainability Learning

Dzhengiz

2020

Sustainability

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“…[18] (p.135). Similarly, Parida et al [57] highlight the need for an orchestration of entire industrial ecosystems moving towards a circular economy instead of a focus on the level of the individual company. Witjes and Lozano [23] also place focus on actor collaboration in establishing and executing a sustainable business model, of which PSSs are seen as a vital archetype.…”

Section: Psss and A Ce-a Brief Overviewmentioning

confidence: 99%

Unintended Circularity?—Assessing a Product-Service System for its Potential Contribution to a Circular Economy

Matschewsky

2019

Sustainability

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Product-service systems (PSSs) are seen as valuable facilitators of a circular economy (CE) on a business level. However, that PSSs contribute to a CE is not a given and is determined by the chosen PSS business model and strategy applied throughout the entire lifecycle. Thus, in order to support companies in implementing circular business models such as PSSs, an increasing number of frameworks and methods have been proposed in prior research. This article hypothesizes that many industrial companies are expanding to become PSS providers with neither such support nor a strong sustainability focus. There is a gap in the literature regarding the potential contribution of such PSSs to a CE. Thus, the research reported aims to provide initial insight regarding whether unintended circularity, i.e., an unintended contribution to a CE, may occur when becoming a PSS provider. Applying and adapting an existing framework for the assessment of PSSs’ potential contribution to a CE, the use-oriented PSS of an industrial company was assessed in-depth. Results regarding the relative resource reduction and the prospect of achieving absolute resource decoupling are reported and discussed. While relative improvements over product sales are identified, e.g., resulting from end-of-life efforts on reuse and remanufacturing, opportunities for additional enhancement are found, e.g., in adjustments of the PSS design process. Concerning absolute resource decoupling, a fundamental challenge lies in the use-oriented PSS’s dependency on an increasing number of physical components as the company’s business expands. This article advances the discussion on PSSs’ potential contributions to a CE with an in-depth empirical study. For practitioners, the results reported expand on important aspects of efficient and effective PSS provision throughout the lifecycle.

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“…Grönroos (2012Grönroos ( , p.1523) describes co-creation as Ba joint collaborative activity by parties involved in direct interactions, aiming to contribute to the value that emerges for one or both parties.^This is an important perspective to consider for understanding process innovation outcomes in ecosystems. Yet, prior literature has not provided a cohesive approach to understanding knowledge processing dynamics in process innovation and ecosystem perspectives are especially rare (Parida et al 2018). Indeed, studies are spread across multiple disciplines within the entrepreneurship and innovation, marketing and operations managements disciplines.…”

Section: Knowledge Processing For Value Co-creation In Joint Process mentioning

confidence: 99%

“…the Internet of Things), and the advances in artificial intelligence and automation, gathers pace (Iansiti & Lakhani 2014;Porter & Heppelmann 2014;Sjödin et al 2018). For example, the complexity of implementing novel digitally enabled autonomous manufacturing systems within the established production infrastructure can involve great uncertainty for manufacturers and their ecosystem (Parida et al 2018;Sjödin et al 2018). Thus, the ability to proficiently manage the application of knowledge and skills in order to continuously innovate their production processes is a competitive necessity for many firms (Lager 2012;Skinner 1992;Terjesen and Patel 2017).…”

Section: Introductionmentioning

confidence: 99%

Knowledge processing and ecosystem co-creation for process innovation: Managing joint knowledge processing in process innovation projects

Sjödin

2018

Int Entrep Manag J

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Process innovation drives industrial competitiveness and sustainability but remains elusive since it requires co-creation and the sharing of idiosyncratic design knowledge in ecosystems of providers and customers of process equipment. This paper investigates how firms can manage knowledge processing through cocreation in joint process innovation projects. Analysis of cross-comparative case studies-including nine industrial ecosystem actorsidentifies three types of technological challenge (complexity, novelty and customization) that creates knowledge-processing requirements (uncertainty, equivocality) during the value co-creation process. To manage these knowledge-processing requirements, this paper explains how three joint knowledge-processing strategies (joint problem solving, open communication and end-user involvement) help ecosystem partners make sense of the requirements and demands in process innovation. In this context, the procurement approach (such as contracting and relationship development) helps to facilitate higher levels of joint knowledge processing, drawing on the diverse knowledge of ecosystem actors to secure successful processinnovation outcomes. The present study contributes to the emerging literature on co-creation in process innovation by developing a framework that highlights the knowledge-processing dynamics in ecosystem relationships for process innovation. The implications for management extends to a practical tool that guides project managers in ensuring appropriate levels of joint knowledge processing among ecosystem actors.

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Orchestrating industrial ecosystem in circular economy: A two-stage transformation model for large manufacturing companies

Cited by 277 publications

References 49 publications

A Literature Review of Inter-Organizational Sustainability Learning

A Literature Review of Inter-Organizational Sustainability Learning

Unintended Circularity?—Assessing a Product-Service System for its Potential Contribution to a Circular Economy

Knowledge processing and ecosystem co-creation for process innovation: Managing joint knowledge processing in process innovation projects

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