Abstract
Circular business models (CBMs), such as product-service systems, are rapidly gaining traction in light of a transition to a more circular and sustainable economy. The authors call for a new approach to inform and guide the development and adoption of these CBMs. The main reason is that different actors in the service ecosystems or networks linked to these business models—such as firms, customers, and governmental bodies—may be reluctant to join or even impede the transition to a circular economy. Based upon an abductive analysis of 133 CBM papers with the Motivation-Opportunity-Ability (MOA) framework as organizing structure, the authors theorize about how to achieve “circular economy engagement” (i.e., an actor’s disposition to embrace CBMs). Specifically, they highlight and illustrate the role of (1) signaling and convincing as motivation-related practices, (2) matching and legitimizing as opportunity-related practices, and (3) supporting and empowering as ability-related practices. The authors provide illustrative cases for each of these practices along with a discussion of the theoretical and practical implications and the remaining challenges—all with the key aim to push the transition to a circular economy forward.
Keywords
Product-service systems in manufacturing (e.g., Signify’s circular lightning service), rental services in the fashion industry (e.g., Rent the Runway), and sharing platforms in the equipment industry (e.g., Peerby)—all of these represent circular business models (CBMs). Researchers, practitioners, and policymakers agree that these CBMs—which are oriented toward slowing down, narrowing, or closing resource loops and reducing the burden on limited natural resources—contribute to a transition to a more circular and sustainable economy. They do so by balancing economic, social, and environmental value creation, capture, and delivery (Bidmon and Knab 2018; Böcker and Meelen 2017; Fehrer and Wieland 2021). The transition toward a circular economy—which is linked to a 12% higher GDP growth and a potential to reduce CO2 emissions by 83% in Europe by 2050 (EMF, 2015)—is one of the key building blocks of the 2020 European Green Deal, a key pillar in China’s 14th Five-Year plan (2021–2025), and central to the initiatives of the USA’s Environmental Protection Agency. It immediately opposes the current linear “take-make-waste” models of production and consumption, which are no longer sustainable in a world marked by massive environmental, social, technological, economic, and geo-political challenges and a population that will exceed 9.5 billion people by 2050 (Lacy, Long, and Spindler 2020).
The transition to a circular model, however, is not an easy one and includes a high degree of uncertainty—not in the least because of the large number of actors that need to be engaged (Köhler et al. 2019). Different actors in the service ecosystems or networks linked to CBMs— such as firms, customers, and governmental bodies—may be reluctant to join or even impede the circular transition (Elzinga et al. 2020). Some actors, for instance, experience difficulties changing their habits (i.e., lack of behavioral engagement—think of customers not willing to pay for circular alternatives), while others may hold detrimental attitudes toward CBMs and their implementation (i.e., lack of non-behavioral engagement—think of firms being hesitant to abandon their traditional linear production and delivery processes). As the negative repercussions of delaying the transition from a linear to a circular economy have become increasingly apparent in recent years, accelerating actor engagement in the circular economy is a pressing issue. Yet, the road toward pushing the circular transition through actor engagement is not clear (Bocken, Weissbrod, and Antikainen 2021; Fehrer and Wieland 2021; Lewandowski 2016). The goal of this paper, therefore, is to understand how to boost actors’ “circular economy engagement,” which we define as the disposition or state of actors to embrace CBMs with behavioral and non-behavioral manifestations (Hollebeek, Kumar, and Srivastava 2022; Storbacka 2019). To this end, we conduct a systematic literature review of 133 CBM papers, using the Motivation-Opportunity-Ability (MOA) framework—a framework developed to understand how individual and organizational actors behave (Argote, McEvily, and Reagans 2003; Hewett et al. 2022; MacInnis, Moorman, and Jaworski 1991)—as an organizing structure. By applying the MOA framework, we synthesize the conditions under which different actors—firms, customers, and governmental bodies—engage in the circular economy and propose a conceptual framework with motivation-related practices (i.e., How to ensure that the focal actor is willing to engage with CBMs?), opportunity-related practices (i.e., How to ensure the circumstances are right for the focal actor to engage with CBMs?), and ability-related practices (i.e., How to ensure that the focal actor is capable to engage with CBMs?). For each of these practices, we provide illustrative cases along with a discussion of the theoretical and practical implications and remaining challenges that are subject to further research.
This research contributes to the extant literature in multiple ways. First, we provide a better understanding of the sustainability transition toward a circular economy by adopting an actor engagement lens. Surprisingly, actor engagement is an underexplored phenomenon in circularity research to date, yet a key challenge for any circular initiative in practice (Khitous et al. 2020). In fact, no circular transition is likely to happen without circular economy engagement (Elzinga et al. 2020). The financial and circular potential of new business models like CBMs can only emerge when multiple actors simultaneously embrace CBMs (e.g., Geissdoerfer, Vladimirova, and Evans 2018; Keiningham et al. 2020; Köhler et al. 2019). Providing insights into what circular economy engagement entails is therefore of critical importance to both academics and practitioners concerned with the circular transition.
Second, by relying upon the MOA framework, this research offers a new approach to inform and guide researchers and practitioners concerned with developing, supporting, and/or adopting CBMs, which represent important facets of circular economy engagement. Specifically, our circular economy engagement framework proposes a set of six practices—signaling, convincing, matching, legitimizing, supporting, and empowering—tailored to boosting the motivation, opportunities, and abilities of actors to engage in the circular economy. Doing so, this work may not only advance actor engagement theory (Brodie et al. 2019; Hollebeek, Kumar, and Srivastava 2022), but also help different actors—such as firms, customers, and governmental bodies—pinpoint the necessary practices to increase circular economy engagement in practice and, ultimately, boost the highly needed sustainability transition to a circular economy (United Nations 2018).
Finally, looking at how different actors can be engaged in the circular transition is important given that actors with distinct roles—such as firms, customers, and governmental bodies—may engage differently (Hollebeek, Kumar, and Srivastava 2022), also when it relates to business models (Field et al. 2021). By showing that all six practices—even though their implementation may vary—contribute to engaging multiple types of actors in relation to specific types of business models (here, CBMs), this research not only extends the service ecosystems perspective on business models (Fehrer and Wieland 2021), but also responds to calls to examine how systemic change (here, a circular transition) is shaped by multi-actor engagement (Brodie et al. 2019).
Conceptual Background
Circular Business Models
CBMs, conceptualized as “holistic descriptions of how organizations create value for their stakeholders, optimize material loops, and thereby capture value” (Fehrer and Wieland 2021, p.611), have become a hot topic in understanding the transition toward a circular economy. CBMs represent—like any business model—a set of decision variables that allow organizations to use and coordinate their resources to create, capture, and deliver value (Zott, Amit, and Massa 2011). However, unlike other business models, CBMs build upon value creation logics inspired by the circular economy principles of (1) regenerating natural systems, (2) keeping products and materials in use, and (3) designing out waste and pollution (e.g., Centobelli et al. 2020; Urbinati, Chiaroni, and Chiesa 2017). As such, the circular economy principles contrast with the idea of taking natural resources out of the earth and turning them into products before disposing them, which represents the “take-make-waste” principle in the linear economy (Vijverman, Henkens, and Verleye 2019). By incorporating circular rather than linear economy principles in their value creation logic, CBMs are believed to enable a sustainability transition and even systemic changes to the way in which business is done (e.g., Bocken, Schuit, and Kraaijenhagen 2018; Fehrer and Wieland 2021).
Fehrer and Wieland (2021) contend that CBMs typically build upon one of four value creation logics, namely: (1) efficient material-technical loops, (2) effective product-service loops, (3) social-collaborative loops, and (4) symbiotic ecosystems. Efficient material-technical loops focus on maximizing material and energy efficiency, for instance, by developing and building products for durability and/or recycling and (re-)collecting materials. Think about the attempts of automobile manufacturer Renault to reduce the use of raw materials in its manufacturing processes by using recycled plastics in vehicles (Urbinati, Chiaroni, and Chiesa 2017). Materials and goods are fundamental units of exchange in these types of CBMs. Effective product-service loops, in turn, emphasize the use and reuse of goods without changing their design, as exemplified by leasing, renting, and pay-for-use systems. Think about Grover letting consumers rent technology products like smartphones rather than buying them. Here, materials and goods are still important units of exchange, but they are complemented with service, that is, the application of specialized knowledge and skills in terms of using and reusing (Hollebeek, Srivastava, and Chen 2019). For service to exist, consumers need to collaborate with firms; for instance, by returning products. In social-collaborative loops, where collaborative action is of high importance, service represents a fundamental unit of exchange, even though the role of materials and goods cannot be ignored. Here, businesses encourage actors to slow down their consumption by offering collaborative platforms and hence reducing their demand for new manufacturing. Think about the clothing swap events of the Swap Society (www.swapsociety.co) or the Too Good To Go app, which allows restaurants and stores to share their unsold food surplus to customers (www.toogoodtogo.org/en/).
Finally, for CBMs that adopt a symbiotic ecosystems logic, the focus is on re-purposing the role of business for society and the environment, thereby upscaling sustainable solutions. To achieve this end, symbiotic ecosystems build on collective action and collaboration between various actors. Here, actors are—in contrast with effective product-service and social-collaborative loops CBMs—not only operating at the micro-level (e.g., individual customers and firms) but also at the meso-level (e.g., professions, social movements, and industries) and the macro-level (e.g., societal institutions). In other words, this logic recognizes that “the success of sustainable innovations depends to a large part on the structure and dynamics of their environment” (Fehrer and Wieland 2021, p.612). Illustrative for this value creation logic is Circular Flanders—a partnership between governments, companies, civil society, and the knowledge community in Flanders (Belgium)—that set up a Green Deal Circular Procurement. Here, over 150 organizations committed themselves to jointly apply a circular procurement method of purchasing over a 2-year window (https://aankopen.vlaanderen-circulair.be/en).
Different Types of CBMs in Terms of Value Creation Logic.
Circular Economy Engagement
Circular economy engagement reflects an actor’s disposition or state to embrace CBMs with behavioral and non-behavioral manifestations (Brodie et al. 2011; Storbacka et al. 2016; Vijverman, Henkens, and Verleye 2019). This state of mind—like other types of actor engagement—takes place in an interactive or relational context (Pansari and Kumar 2017). Actor engagement is typically viewed as a process while it can—as a disposition or state—remain relatively stable without being an innate trait per se (Hollebeek, Kumar, and Srivastava 2022). In the transition to a circular economy, actor engagement with CBMs can manifest itself in behavioral and non-behavioral (cognitive and affective) ways (Brodie et al. 2013; Henkens, Verleye, and Larivière 2021; Van Doorn et al. 2010). Behavioral manifestations relate to investing time, money, energy, and effort in developing, supporting, and/or adopting CBMs, while non-behavioral manifestations refer to active mental processing of CBMs (cognitive engagement) and emotional bonding with CBMs (affective engagement) (Loureiro, Romero, and Bilro 2020). The engagement literature suggests that behavioral and non-behavioral engagement with an object, such as brands/firms and their offerings, are triggered by various factors. We apply the Motivation-Opportunity-Ability (MOA) framework to consolidate evidence from the actor engagement literature. The MOA framework, which finds its origins in psychology, is applied in various management disciplines at both the individual and firm level (Hewett et al. 2022; Siemsen, Roth, and Balasubramanian 2008). While motivation, opportunity, and ability are related, the causal relationship between these MOA constructs are theoretically difficult to justify. That is why we conceptualize them as correlated but distinct constructs (cf. Siemsen et al. 2008).
First, the actor engagement literature suggests that actor engagement with an object is—in line with social exchange theory (Blau 2017)—motivated by expected benefits, which entail economic, pragmatic, personal, social, cognitive, and hedonic benefits (Etgar 2008; Hoyer et al. 2010). In other words, an important condition for investing time, money, energy, and/or effort into an object is the actors’ motivation—that is, their willingness to engage with an object considering the expected benefits. Therefore, actor engagement is described as a motivationally driven, volitional resource investment (Hollebeek, Srivastava, and Chen 2019). Second, actor engagement is shaped through opportunities—that is, contextual factors that enable actor engagement—in the ecosystems in which actors are embedded. Indeed, service-dominant logic (S-D logic) suggests that actor engagement occurs through interactions with other actors that lead to resource investments (Hollebeek, Kumar, and Srivastava 2022). In other words, interactions with other connected actors in a service ecosystem create opportunities for engagement (Brodie et al. 2019; Hollebeek, Srivastava, and Chen 2019), which we denote as interactional opportunities. Further building on S-D logic, actor engagement also occurs within specific institutional contexts, including individuals, groups, firms, competitors, and regulators (Edvardsson et al. 2014; Koskela-Huotari and Vargo 2016). More particularly, S-D logic proposes that actors’ resource investments in interactions with other actors are enabled and/or constrained by sets of institutions, which are sets of humanly devised rules and norms (Brodie et al. 2019; Hollebeek, Kumar, and Srivastava 2022). In other words, the institutions in the ecosystem in which actors are embedded create opportunities for actor engagement, which represent institutional opportunities. This view is adopted by Fehrer and Wieland (2021), who contend that institutional work is necessary when making a sustainability transition—not in the least by allowing actors to balance tensions between economic growth and environmental goals. Here, institutional work refers to “the purposive action of individuals and organizations aimed at creating, maintaining, and disrupting institutions” (Lawrence and Suddaby 2006, p.215). Finally, research finds that engagement emerges when the demands on an actor and their resources to deal with these demands are well-balanced—i.e., jobs demands-resources model (Bakker and Demerouti 2007). S-D logic confirms that actor engagement reflects motivationally driven investments of specific operant and operand resources in interactions with an object in a service ecosystem (Hollebeek, Srivastava, and Chen 2019). For actors to engage with an object, they need the resources. Indeed, actors’ knowledge and skills—and hence their ability—were found to have a substantial impact on their engagement, not in the least when these actors are confronted with change and transformation (Lariviere et al. 2017).
To date, circular economy engagement is still low, with firms being slow to develop, customers being reluctant to adopt, and governmental bodies struggling to support CBMs (e.g., Bocken, Boons, and Baldassarre 2019; Khitous et al. 2020). Therefore, a core challenge revolves around how to boost this multitude of actors to engage with CBMs. While initial research provides ad-hoc illustrations on how to engage actors in the circular economy through business cases from Philips, H&M, Fairphone, and Starbucks (e.g., Fehrer and Wieland 2021; Vijverman, Henkens, and Verleye 2019), a systematic overview of the conditions under which motivation, opportunities, and ability for circular economy engagement among different actors emerge is lacking.
Methodological Approach
Over the past 5 years, literature focusing on CBMs and the circular economy has grown at a tremendous pace (e.g., Guldmann and Huulgaard 2020; Milios 2021; Urbinati, Franzò, and Chiaroni 2021; Vermunt et al. 2019). To explore the conditions for circular economy engagement, the research team engaged in a systematic process to identify, select, analyze, and synthesize relevant literature, which is detailed below.
Identifying and Selecting Relevant Literature
To ensure a transparent, structured, and replicable approach, we followed—as detailed in Web Appendix 1—(a) four-step procedure inspired by Kranzbuhler et al. (2018) to identify and select relevant articles in Scopus and Web of Science (WoS) as two of the largest databases of more recent academic papers (Abrizah et al. 2013).
First, we developed a combination of keywords best suited for creating a comprehensive list of conditions for circular economy engagement. The first part of the search string (“circular economy” OR “circular business model*”) provided enough flexibility to cover a wide range of relevant terms, including circular business models, circular economy business models, business models for the circular economy, and circular business model innovation. Meanwhile, the second part of the search string—inspired by other studies (Aloini et al. 2020; Cantú, Aguiñaga, and Scheel 2021; Guldmann and Huulgaard 2020)—covered terms related or equivalent to conditions for circular economy engagement (e.g., driver, enabler, trigger, barrier, challenge, obstacle). After running the queries on Scopus and WoS and filtering out duplicates, we found 11,939 articles.
Second, to increase the quality and relevance of our results, we limited our selection to peer-reviewed academic journals in English only. Also, the results were refined with respect to subject categories “business & management,” “economics,” “environmental sciences” on Scopus and “management,” “business,” “economics,” “environmental sciences,” “environmental studies” on WoS. This resulted in 5538 articles. We did not apply exclusion criteria regarding the number of citations or journal ranking. Given the nascence of the field, this helps to avoid excluding relevant papers published very recently.
Third, we performed a thorough screening of all remaining articles based on title, abstract, and full text (when necessary). Specifically, to be included in the final set, a paper needed a discernible research focus on conditions for circular economy engagement, resulting in the exclusion of 5407 articles (e.g., papers focusing on specific technical applications in a circular context, corporate sustainability, environmental management, manufacturing practices, digital technology for the circular economy). Finally, this process led to the identification of two additional papers based on cross-references and a final set of 133 articles. Web Appendix 2 provides the full references for these articles, while Web Appendix 3 provides descriptive characteristics of this final set of articles.
Analysis and Synthesis of Selected Articles
The content of the selected articles in our sample was—in line with the approach of Moeller et al. (2013) and De Keyser et al. (2020)—analyzed in five steps (see Web Appendix 1). In the first step, the research team got acquainted with the material by reading the selected articles. Second, these researchers selected relevant passages in the articles and developed in vivo codes or paraphrased descriptions. Third, the researchers in the team engaged in independently grouping these codes and descriptions into more abstract categories.
Coding Tree.

Circular economy engagement framework with lexicon.
In the next sections, we discuss the motivation-, opportunity-, and ability-related practices underlying the circular economy engagement framework. Specifically, we synthesize current knowledge on each, complemented with tables that include illustrative evidence from the academic literature and—in line with the recommendations of Verleye (2019)—illustrative cases to strengthen theory development.
Motivation-Related Practices for Circular Economy Engagement
Motivation-Related Practices for Circular Economy Engagement.
Signaling
Our research refers to the importance of environmental and societal signaling, that is, highlighting the environmental and/or societal benefits of embracing CBMs. More particularly, several studies call for making these benefits explicit through information provision (e.g., Urbinati, Franzò, and Chiaroni 2021). Firms that see benefits from an environmental (e.g., reduced ecological impact—Karman 2020) and/or societal (e.g., improved well-being in society - Suchek et al. 2021) perspective are more likely to embrace different types of CBMs. Customers equally are found to engage with CBMs with different value creation logics if they associate the resulting offerings—such as remanufactured/refurbished products (cf. efficient material-technical loops) or rented/leased products (cf. effective product-service loops)—with environmental and/or societal benefits (Frishammar and Parida 2019). To ensure that different actors are informed about these benefits, a number of studies also call for promoting environmental/societal benefits (e.g., marketing campaigns about sustainability benefits—Bocken, Harsch, and Weissbrod 2022) and/or by providing concrete evidence to showcase the environmental/societal potential of CBMs (e.g., storytelling of circular economy achievements—Ünal, Urbinati, and Chiaroni 2019).
Economic signaling—that is, providing information about economic benefits—is also emphasized. Customers, for instance, show more circular economy engagement when they anticipate price discounts, which was observed across the different CBM types (Okorie et al. 2021; Tura et al. 2019). Firms, in turn, may only embrace CBMs when they expect to benefit financially, for instance by reducing their energy consumption when opting for CBMs with efficient technical-material loops (Okorie et al. 2021) or having new opportunities to create and capture value with other types of CBMs (Todeschini et al. 2017). To increase circular economy engagement in relation to these CBMs, extant research calls for making their economic benefits explicit and promoting them (Veleva and Bodkin 2018) and/or providing concrete evidence about their economic potential—for instance, with the help of information management systems (Foroozanfar, Imanipour, and Sajadi 2022).
Convincing
In light of the circular transition, several actors—not in the least startups and SMEs—anticipate financial risks due to low profit margins when customers associate CBMs with low prices and sales cannibalization (Hopkinson et al. 2018). In a similar vein, uncertainty about the revenue model also discourages firms from engaging with CBMs (Oghazi and Mostaghel 2018), and the same goes for uncertainty about the demand for circular offerings among customers (Okorie et al. 2021). Customers, in turn, may anticipate lower value-for-money and hence a lower willingness-to-pay when it relates to circular offerings (Munaro et al. 2021). When actors anticipate financial risks, providing information about the economic benefits does not suffice. Instead, other actors need to convince focal actors like customers and firms that these risks are limited or even absent by orienting their attention to specific measures that are available to them, which we denote as financial convincing.
To financially convince a focal actor, other actors in the ecosystem can refer to financial measures to invest in developing or scaling up circular solutions (e.g., offering interest-free loans—Wang and Li 2006), tax breaks or bonuses (e.g., special income tax regime when buying recycled materials—Neves and Marques 2022), and price discounts or at least competitive pricing that covers the significant cost of—among others—reverse logistics (Okorie et al. 2021). While these measures could ease a focal actor’s financial risk perception, alternatively, it may also pay off to hint to punitive measures that deter undesirable behavior and promote circular economy engagement (Tan, Tan, and Ramakrishna 2022). Examples include pointing to taxes for non-circular solutions (e.g., landfill taxes—Sarja, Onkila, and Mäkelä 2021), the charging of additional fees (e.g., disposal fee system—Ilić and Nikolić 2016), and/or the setting of higher prices for raw materials (Urbinati, Franzò, and Chiaroni 2021).
A focal actor, however, may also anticipate various pragmatic risks, which calls for pragmatic convincing. A first type of pragmatic risk includes unreliable input flows due to—among others—low quantity of returned products (Urbinati, Franzò, and Chiaroni 2021) and low quality of recovered used parts (Shao et al. 2019). The impossibility of turning products into circular ones due to their complexity and/or design represents another pragmatic risk that affects firms’ willingness to engage with CBMs (Cantú, Aguiñaga, and Scheel 2021). Customers will also have to be convinced that CBMs—especially those with effective product-service loops and even more those with social-collaborative loops—do not come with further pragmatic risks, such as the lack of proper take-back programs (Chen 2020) and hygiene issues (Martínez-Cabrera and López-del-Pino 2021).
To pragmatically convince a focal actor, other actors in the ecosystem can refer to different measures that make circular offerings more attractive like take-back incentives (Cantú, Aguiñaga, and Scheel 2021; Arekrans et al. 2022) and repairing services (Veleva and Bodkin 2018). Additionally, other actors may alleviate concerns about product quality and liability (Bodenheimer, Schuler, and Wilkening 2022) by referring to objective proofs of the innocuousness of circular offerings (Calvo-Porral and Lévy-Mangin 2020), shifts of responsibility to suppliers (Okorie et al. 2021), and guarantees, warranties, and certifications (Aldieri et al. 2021; Todeschini et al. 2017).
Opportunity-Related Practices for Circular Economy Engagement
Opportunity-Related Practices for Circular Economy Engagement.
Matching
Several studies emphasize that focal actors’ engagement in the circular economy depends on their opportunities to exchange resources with other actors. These actors include local communities (e.g., Cullen 2021), customers, startups and small entrepreneurs (e.g., De Mattos and De Albuquerque 2018), firms and suppliers (e.g., Ünal, Urbinati, and Chiaroni 2019), circular finance organizations (e.g., Okorie et al. 2021), the government (e.g., Munaro et al. 2021), and civil society groups (e.g., Hofmann and Jaeger-Erben 2020). Each of these actors may create interactional opportunities for a focal actor through relational and formal matching, as outlined below.
Relational matching occurs when actors show their openness to exchange resources with the focal actor in the context of CBMs (Asgari and Asgari 2021; Reim, Sjödin, and Parida 2021). This practice can occur when actors—such as customers and suppliers—express their demand or readiness to engage with CBMs to the focal actor (Fuchs and Hovemann 2022). Next, relational matching can happen when focal actors are involved in the design and/or implementation of CBMs with different value creation logics (e.g., De Mattos and De Albuquerque 2018; Hankammer et al. 2019), or when other actors reorganize their relationship with them (Hofmann and Jaeger-Erben 2020), or show respect for different expectations, visions, and goals (Bertassini et al. 2021; Hofmann and Jaeger-Erben 2020). In symbiotic ecosystems, third parties—like industrial associations and governmental bodies—often engage in relationally matching focal actors with other actors through orchestration (Ünal, Urbinati, and Chiaroni 2019), for instance, by organizing workshops (van Keulen and Kirchherr 2021), or fostering geographical proximity of different actors (Donner et al. 2021). Finally, each and every actor in an ecosystem can contribute to establishing mutual understanding and trust when collaborating (Ada et al. 2022; Agarwal, Tyagi, and Garg 2021). When actors perceive each other as understanding and trustworthy partners without experiencing power imbalances and/or conflicts of interest, they may engage in sharing operand (e.g., infrastructure) and operant resources (e.g., knowledge—Moggi and Dameri 2021).
The opposite, however, may happen when there is no mutual understanding and/or distrust among actors. One example would be when customers are not confident that a firm is offering a quality solution or when they doubt that other actors—such as suppliers or customers—take care of the quality of materials/products that move from one actor to another (Arekrans et al. 2022). In those situations, a focal actor may benefit from formalized resource exchanges with other actors in its ecosystem. When other actors reach out to the focal actor to formalize resource exchanges in the context of CBMs, we refer to formal matching. This practice manifests itself when actors establish strategic alliances/partnerships (e.g., Donner et al. 2021; Karman 2020; Urbinati, Franzò, and Chiaroni 2021), networks/clusters (e.g., Hofmann 2019), or geographical hubs/eco-industrial parks (e.g., Wang and Li 2006). These formal arrangements can enable actors—such as firms and universities—to share knowledge about circularity (Bolger and Doyon 2019). Furthermore, formal arrangements facilitate circular supply chain management and the establishment of reverse supply chains when actors’ interests are not connected (Urbinati, Franzò, and Chiaroni 2021). Here, we distinguish between CBMs with efficient material-technical loops with their focus on dealing with waste collection and disposal costs (Ilić and Nikolić 2016) and CBMs with effective product-service loops with their focus on developing partnerships to enable take-back (Karman 2020). Next, actors may set up formal arrangements to fund the circular transition (Okorie et al. 2021) and expand the scope of CBMs. This is, for instance, illustrated by partnerships between fashion-rental entrepreneurs and upcoming designers and luxury brands to give visibility to this CBM with effective product-service loops (Bodenheimer, Schuler, and Wilkening 2022) and partnerships to scale up reusable packaging models so that symbiotic ecosystems emerge (Bocken, Harsch, and Weissbrod 2022). In the aforementioned situations, actors may systematically select focal actors to collaborate with (Ada et al. 2022), sign formal agreements like a “green deal” (Giorgi et al. 2022), and/or set up initiatives to coordinate multi-actor collaborations across regions (Jaeger and Upadhyay 2020).
Legitimizing
Extant studies refer to a wide range of soft institutions (i.e., shared norms/values or common habits and routines) and hard institutions (i.e., laws and regulations) in focal actors’ ecosystems that affect their engagement in the circular economy (Vermunt et al. 2019). In terms of soft institutions, a focal actor may be embedded in an ecosystem characterized by no sense of urgency or inertia (Urbinati, Franzò, and Chiaroni 2021) when it relates to embracing circular economy principles. In a similar vein, a focal actor may face hard institutions that disfavor a circular transition in its ecosystem, such as laws and regulations that remain silent about how to deal with waste, what remanufacturing entails, and how to engage in other circular practices (Hopkinson et al. 2018).
To establish an institutional context that creates opportunities for circular economy engagement among focal actors, other actors in their ecosystem may opt for soft legitimizing—that is, developing and launching measures that contribute to the emergence of soft institutions that favor the transition to a circular economy. Research about CBMs with different value creation logics refers to the importance of developing an innovative and collaborative culture that embraces the circular economy principles with a long-term orientation (Suchek et al. 2021). Here, the work of Bertassini et al. (2021) is notable, as they propose a framework to develop a circular economy culture within organizations. Key aspects include (1) the definition of a clear and unified vision toward the circular economy by organizational leaders while integrating stakeholders’ perspectives and (2) sharing and embedding the circular economy-oriented culture within the organization by providing employees with circular economy values and principles. Other studies confirm that actors—not in the least organizational leaders—can contribute to developing soft institutions by showing their commitment toward circular economy principles through their behaviors (Cantú, Aguiñaga, and Scheel 2021). Meanwhile, extant research also calls for giving time to set up and get used to CBMs, which is particularly relevant when sectors/industries—such as the automobile sector in Pakistan—are in early stages of the circular transition (Agyemang et al. 2019).
Alternatively, a focal actor may also get opportunities for circular economy engagement when other actors in the ecosystem develop and launch hard institutions that favor the transition to a circular economy—a phenomenon that we denote as hard legitimizing. This can happen when governmental bodies launch circular policies, laws, and regulations (Urbinati, Franzò, and Chiaroni 2021) and enforce them (Ezeudu et al. 2021). Several studies point out that actors are coerced to contribute to circularity by hard institutions like revised waste tax laws, regulations that impose the implementation of take-back and recycling systems, and policies that make collaboration across the value chain obligatory (Moggi and Dameri 2021; Levänen, Lyytinen, and Gatica 2018). Several studies, especially those focusing on CBMs with efficient material-technical loops and symbiotic ecosystems, also call for developing circular standards, certifications, and awards. This type of hard legitimizing is often initiated by governmental bodies or sector and industry federations (van Keulen and Kirchherr 2021) and associated with showcasing sustainable material usage (Cantú, Aguiñaga, and Scheel 2021), refurbishment quality (Govindan and Hasanagic 2018), or achievement of waste-recycling targets (Sarja, Onkila, and Mäkelä 2021).
Ability-Related Practices for Circular Economy Engagement
Ability-Related Practices for Circular Economy Engagement.
Supporting
Two types of resources are particularly relevant when it relates to circular economy engagement: financial resources (i.e., capital and funding) and infrastructural resources (i.e., technological, digital, and physical infrastructure). In terms of financial resources, several studies highlight how important it is for firms with different types of CBMs to have self-financing capital and debt for circular economy engagement. Customers, in turn, may benefit from initiatives that increase their purchase power (Neves and Marques 2022). In this regard, different actors may benefit from financial support from governmental bodies (e.g., funding for sustainable industrial development—Feng and Lam 2021), customers (e.g., revenue flows from different target segments—Suchek et al. 2021), and other stakeholders (e.g., fundraising—Hina et al. 2022). In fact, a number of studies emphasize that a combination of private and public funding paves the way for circular economy engagement, for instance by financially supporting eco-innovation (Aldieri et al. 2021). Other studies confirm that financial support allows actors to invest in operant (e.g., knowledge on second use for CBMs with effective product-service loops—Wrålsen et al. 2021; CBM-related knowledge—Arekrans et al. 2022) and operand resources (e.g., cleaner production technologies for CBMs with efficient material-technical loops—Wang and Li 2006) that serve the circular transition. These practices are considered more important for small and medium-sized enterprises as compared to large and multi-national companies, as they do not have the means to test CBMs before launching them to customers and other stakeholders (Abdelmeguid, Afy-Shararah, and Salonitis 2022).
To boost circular economy engagement, extant research also refers to the importance of infrastructural support, that is making technological (e.g., remanufacturing and repairing technology—Shao et al. 2019), digital (e.g., Internet-of-Things for predictive maintenance and reuse—Ingemarsdotter, Jamsin, and Balkenende 2020), and physical resources (e.g., recycling station—Neves and Marques 2022) available to the focal actor. Infrastructural support may, for instance, allow the focal actor to convert waste into raw materials or use waste to make goods of equal or higher value than the original, which serves circular economy engagement with CBMs with efficient material-technical loops (Suchek et al. 2021). In these and other CBMs, infrastructural support also enables focal actors to track and/or monitor materials and products. Think about material passports, RFID tags, and blockchains that promote traceability of products and materials (Iacovidou, Hahladakis, and Purnell 2021; Ingemarsdotter, Jamsin, and Balkenende 2020; Munaro et al. 2021). Finally, circular economy engagement is fostered when infrastructural support enables actors to communicate with one another, for instance, by offering tools for sharing best practices in terms of circularity (Moggi and Dameri 2021) and online sharing platforms (Foroozanfar, Imanipour, and Sajadi 2022).
Empowering
For circular economy engagement to emerge, extant research emphasizes the importance of circular knowledge and capabilities (Hina et al. 2022). Circular knowledge entails awareness and a good understanding of the circular economy principles along with circular solutions like remanufacturing, repair, and reuse (Aldieri et al. 2021; Veleva and Bodkin 2018). To empower a focal actor in terms of circular knowledge, several studies call for launching awareness training programs (Aycin and Kaya 2021) and educating customers, suppliers, employees, and other actors about the circular economy principles and solutions (Gedam et al. 2021). One path to this end involves incorporating circular economy education into national curricula (Zhang et al. 2019). Alternatively, a focal actor’s circular knowledge can increase when other actors provide them with circular assessment frameworks/tools (e.g., product lifecycle assessment tool—Munaro et al. 2021) and/or accessible, transparent, and reliable data about circularity (e.g., product tag with QR code linked to percentage of recycled inputs—Neves and Marques 2022). Finally, circular knowledge emerges through research and development (Okorie et al. 2021) and by combining emergent knowledge from multiple domains (Munaro et al. 2021).
Relatedly, several studies refer to the relevance of circular capabilities, which encompass the ability to implement circular economy principles like remanufacturing, upcycling, and recovery approaches and the ability to innovate and collaborate with other actors (Cantú, Aguiñaga, and Scheel 2021). These circular capabilities can—like circular knowledge—be nurtured through training and education (Ayati et al. 2022), but several studies emphasize the importance of experimenting with CBMs and learning from these experiments to improve or develop new CBMs (Frishammar and Parida 2019). During these experiments, focal actors may benefit from making use of circular tools, methods, and frameworks developed by third parties, such as Design for X (DfX) practices (Ünal, Urbinati, and Chiaroni 2019) and business model transformation frameworks (Benz 2022). Pooling operand and operant resources through collaboration is another powerful way for the focal actor to increase its circular capabilities (Moggi and Dameri 2021). Finally, several studies point out that the availability of strategies, action plans, and performance indicators that incorporate the circular economy principles along with a sound change management process that explicitly addresses inertia pave the way for developing and nurturing a focal actor’s circular capabilities (Santa-Maria, Vermeulen, and Baumgartner 2021).
Implications and Challenges
The circular economy engagement framework that emerged from this research has important implications for theory and practice while also posing challenges for researchers and practitioners. In what follows, we outline these implications and challenges.
Theoretical Implications
In terms of theoretical implications, the circular economy engagement framework—which is visualized in Figure 1—advances the CBM and circular economy literature by providing insight into the circular transition from an actor engagement perspective—a lens largely ignored to date. Indeed, several scholars call for a better understanding of ways to engage different actors—such as customers, firms, and governmental bodies—in the circular transition, but the specific practices to achieve this end get little research attention (e.g., Khitous et al., 2020). In fact, extant research has merely investigated the way in which specific actor characteristics—such as one’s sustainability orientation—and/or characteristics of the CBM—such as the level of servitization—affect actors’ engagement (e.g., De Bruyne and Verleye, 2022).
Next, our circular economy framework advances the actor engagement literature by presenting (1) signaling and convincing as practices to motivate focal actors to embrace CBMs, (2) matching and legitimizing as practices to ensure that focal actors get opportunities to embrace CBMs, and (3) supporting and empowering as practices to enable focal actors to embrace CBMs. By identifying these motivation-, opportunity-, and ability-related practices, this research also extends the application of the MOA framework (Argote, McEvily, and Reagans 2003; Hewett et al. 2022; MacInnis, Moorman, and Jaworski 1991) to the domain of circular economy engagement. The MOA-inspired practices that emerged from this research may even apply in other contexts than the circular transition, although further inquiry is warranted to investigate their generalizability.
Finally, our circular economy engagement framework demonstrates that motivation-, opportunity-, and ability-related practices—which can be implemented simultaneously in a wide variety of ways—matter for engaging any type of focal actor with CBMs that have different value creation logics and operate in diverse regions (cf. Web Appendix 5). Once engaged, focal actors can subsequently enact these practices in interactions with other actors in their ecosystem. As a result, more and more actors get engaged in the circular economy. As such, the circular economy engagement framework shows that different actors have—as acknowledged in the actor engagement literature (Brodie et al. 2019)—agency to induce systemic change (here, the circular transition in their ecosystem) through their practices. By detailing the practices through which a dynamic process of circular economy engagement beyond dyads unfolds over time, this research contributes to validating and updating actor engagement theory in complex networks/ecosystems (Brodie et al. 2019).
Practical Implications
From a practical perspective, the circular economy engagement framework can serve as a diagnostic tool for any actor involved in the transition to a circular economy. More particularly, governmental bodies, industry/sector federations, firms, and customers can urge other actors in their ecosystem to reflect upon their motivation (i.e., Do the benefits of circular economy engagement outweigh the costs?) and ability (i.e., Are operand and operant resources available to engage in the circular economy?). Additionally, they can stimulate these actors to reflect upon their interactional opportunities (i.e., Do other actors in the ecosystem create circumstances for circular economy engagement?) and institutional opportunities (i.e., Do the soft and hard institutions that govern other actors in the ecosystem create circumstances for circular economy engagement?). Based upon the circular economy engagement conditions that may or may not be met, a corresponding set of motivation-, opportunity-, and ability-related practices can be put forward.
Next, this research gives inspiration to implement motivation-, opportunity-, and ability-related practices. On the one hand, this research elaborates upon the different ways in which actors can enact signaling, convincing, matching, legitimizing, supporting, and empowering (see our findings in combination with Web Appendix 4). On the other hand, this research also specifies the context in which these motivation-, opportunity-, and ability-related practices are implemented in a particular way (see our findings in combination with Web Appendix 5). Here, contextual factors include the specific actors that implement these practices, the type of CBMs in which they are engaged, and the regional context in which they operate.
Illustrations of Circular Economy Engagement Practices.
Challenges to Push the Circular Transition Forward
Future Research Questions.
Note: CBM = circular business model; MOA = motivation-opportunity-ability.
Second, our research shows that motivation-, opportunity, and ability-related practices all matter for circular economy engagement. The interplay between these practices both within each MOA dimension (e.g., signaling and convincing as motivation-related practices) and across MOA dimensions (e.g., legitimizing as opportunity-related practice and convincing as motivation-related practice) is, however, complex and promises several ways to boost circular economy engagement. Further research examining how these practices affect one another and how they need to be combined is warranted.
Finally, further research could build upon our framework and investigate how motivation-, opportunity-, and ability-related practices affect circular economy engagement and their corresponding implications for circular performance (i.e., the extent to which resource loops are slowed down, narrowed, or closed and the burden on limited natural resources is reduced). We hope that our findings encourage other scholars to pursue these possibilities in further research.
Supplemental Material
Supplemental Material - Pushing Forward the Transition to a Circular Economy by Adopting an Actor Engagement Lens
Supplemental Material for Pushing Forward the Transition to a Circular Economy by Adopting an Actor Engagement Lens by Katrien Verleye, Arne De Keyser, Néomie Raassens, Alex A. Alblas, Fernando C. Lit, and Josephina C. C. M. Huijben in Journal of Service Research
Footnotes
Acknowledgments
We would also like to thank the guest editors and the associate editor for their support and clear guidance during the review process.
Declaration of Conflicting Interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The author(s) disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: One of the authors who was involved in selecting and coding papers received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 859885.
Supplemental Material
Supplemental material for this article is available online.
Author Biographies
). Her main research interests relate to actor engagement and value co-creation in networks/ecosystems. She published her research in service, innovation, and marketing journals.
References
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