“…Facilitators identify stakeholders based on general symbiosis ideas (Cervo et al, 2019) or find potential users for previously discovered excess resources (Fortuna and Diyamandoglu, 2015;Krones, 2017). In contrast to a more open invitation to join symbiosis developments, the facilitator can engage by developing and presenting already viable solution to firms (Paquin and Howard-Grenville, 2012;Mainar-Toledo et al, 2022). The facilitator uses pre-existing contacts to engage firms (Paquin and Howard-Grenville, 2012), as previously developed relationships and expertise about certain types of exchanges help replicating these (ibid.).…”
Section: Task A: Developing Linkagesmentioning
confidence: 99%
“…The facilitator is selective in their allocation of time and resources (Paquin and Howard-Grenville, 2013;Park et al, 2019;King et al, 2020). To coordinate with and meet expectations of industry, the facilitator conducts surveys (Mainar-Toledo et al, 2022), organizes events and meetings to connect with executives from firms (Valentine, 2016) and other workshops and informative sessions (Lenhart et al, 2015). Many activities here relate to coordinating information sharing and tackling (potential) confidentiality issues.…”
“…Facilitators identify stakeholders based on general symbiosis ideas (Cervo et al, 2019) or find potential users for previously discovered excess resources (Fortuna and Diyamandoglu, 2015;Krones, 2017). In contrast to a more open invitation to join symbiosis developments, the facilitator can engage by developing and presenting already viable solution to firms (Paquin and Howard-Grenville, 2012;Mainar-Toledo et al, 2022). The facilitator uses pre-existing contacts to engage firms (Paquin and Howard-Grenville, 2012), as previously developed relationships and expertise about certain types of exchanges help replicating these (ibid.).…”
Section: Task A: Developing Linkagesmentioning
confidence: 99%
“…The facilitator is selective in their allocation of time and resources (Paquin and Howard-Grenville, 2013;Park et al, 2019;King et al, 2020). To coordinate with and meet expectations of industry, the facilitator conducts surveys (Mainar-Toledo et al, 2022), organizes events and meetings to connect with executives from firms (Valentine, 2016) and other workshops and informative sessions (Lenhart et al, 2015). Many activities here relate to coordinating information sharing and tackling (potential) confidentiality issues.…”
“…Barriers reported in one geographic setting may differ significantly from those in another geographic location [33,44]. For instance, companies may have to conform to different regulatory frameworks depending on where they are located, which, in turn, may be more or less beneficial to IS network development [4,31,34,[45][46][47].…”
Factors that affect and influence industrial symbiosis (IS) collaborations have been researched extensively in the literature, where they are mostly reported at a network level or for IS in general, and lack the individual actor’s perspective. This review article contributes to and expands knowledge of influencing factors and their effect on the individual actor. In a systematic review, guided by the PRISMA 2020 guidelines, this study reviews 53 scientific papers examining planned or existing IS networks. It examines literature from 1 January 2000 to 28 March 2022, and it identifies drivers, barriers, and enablers influencing actors to participate in IS. It explores whether and how the perception and impact of these factors differs depending on the characteristics of individual actors and their specific context. The main findings of this study reveal that an actor’s specific characteristics and the network’s context have a significant impact on decision making and how actors both perceive and are affected by factors influencing collaboration. Furthermore, an additional novel contribution to this field of research is that the study identifies three underlying and recurring considerations that actors appear to find critical, namely, perceived business opportunities/risks, regulatory and political setting, and potential inequalities in the network. The results show that an actor’s take on these critical considerations determines whether the actor is willing to engage in IS.
“…The traditional crude economic development model has caused a large amount of pollutant emissions, making the current environmental situation severe. To develop and use renewable energy is already the most important tool we use to solve energy problems and environmental problems [1][2][3]. In order to motivate investment companies to invest in renewable energy industry, governments have developed relevant renewable energy incentive methods [4][5].…”
With the increasing scarcity of conventional energy and environmental degradation, countries around the world are increasing their investment in renewable energy development. In order to make a scientific investment evaluation of renewable energy projects, this paper examines the analysis and control of their financial data. The intelligent analysis system of financial data is constructed based on OLAP. Logistic regression model and decision tree algorithm model are selected as the operation algorithm of the system to complete the intelligent analysis of data. Combining random forest algorithm and autoregressive moving average model, under the guidance of Bagging idea, the financial status of renewable energy projects after investment is judged in order to achieve the purpose of dynamic control. According to the results of analysis and control of financial data of renewable energy projects, it is known that the correct probability of intelligent analysis of financial data reached 94.5%, 83.1%, and 92.7% for different sample sizes of data sets, respectively. There were significant improvements in the efficiency of capital usage and asset quality, with an increase in capital concentration of 30.42%, an increase in inventory turnover from 10.68% to 13.04%, and an increase in the recovery rate of overdue accounts receivable from 60.31% to 67.83%. It has been proven that the method can help investors to better utilize uncertainty to improve the investment value of project, providing investors with a new way of thinking about decision-making.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.