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The aim of this study is to (1) construct a standard framework for assessing the capability of bioenergy enterprises' digital green innovation partners; (2) quantify the choice of partners for digital green innovation by bioenergy enterprises; (3) propose based on a dual combination empowerment niche digital green innovation field model.

Fuzzy set theory is combined into field theory to investigate resource complementarity. The successful application of the model to a real case illustrates how the model can be used to address the problem of digital green innovation partner selection. Finally, the standard framework and digital green innovation field model can be applied to the practical partner selection of bioenergy enterprises.

Digital green innovation technology of superposition of complementarity, mutual trust and resources makes the digital green innovation knowledge from partners to biofuels in the enterprise. The index rating system included eight target layers: digital technology innovation level, bioenergy technology innovation level, bioenergy green level, aggregated digital green innovation resource level, bioenergy technology market development ability, co-operation mutual trust and cooperation aggregation degree.

This study helps to (1) construct the evaluation standard framework of digital green innovation capability based on the dual combination empowerment theory; (2) develop a new digital green innovation domain model for bioenergy enterprises to select digital green innovation partners; (3) assist bioenergy enterprises in implementing digital green innovation practices.

The purpose of this paper is to examine how national institutional structures affect farmers’ intentions to invest in renewable energy enterprises in the UK agricultural sector.

The authors draw on the construct of national institutional profile to identify the regulatory, cognitive and normative institutions affecting entrepreneurial intentions. A postal questionnaire survey of 2,000 farmers was carried out in the West Midlands Region of the UK and 393 usable responses were obtained. Principal component analysis and multivariate data analysis techniques are employed.

Cognitive institutions were positively related to intentions. Contrary to expectations, the regulatory institutions were not associated with entrepreneurial intentions. Normative institutions were significantly related to intentions and interestingly, moderated the efficacy of regulatory institutions on entrepreneurial intentions.

Cognitive and normative institutions may play a far more important role in determining farm entrepreneurship in the renewable energy sector than has been previously considered. Given that much of policy research is often biased towards regulatory institutions, this research shows that the construct of institutional profile offers a useful framework to investigate the effect of national level institutions on entrepreneurship.

This study contributes to the literature on entrepreneurship in the UK farm sector. It is the first study that demonstrates the role of the country’s institutional profile on farmers’ intentions to invest in RE. The existence of moderation effects between national institutions suggests that research focusing on single dimensions is likely to provide biased results.

This research aims to explore the potential impacts of the Belt and Road Initiative (BRI) on sustainable supply chains.

This study employs twenty qualitative interviews with supply chain managers located on the BRI lane from Asian countries.

Findings revealed that if not managed properly, BRI can pose a serious threats to sustainable supply chains from environmental perspective. The findings also revealed additional properties which lead to the emergence of these perspective.

The findings of this study may not be generalizable to a broader population. Second, this study explores supply chain managers’ interpretations from Asian countries only.

Supply chain firms can use the findings from this study to understand the implications of BRI for sustainable supply chains. Particularly, firms can understand how the BRI may harm the organization's sustainable supply chains from the environmental perspective.

This is, perhaps, the first study which provides empirical evidence concerning the potential impacts of BRI on the management of sustainable supply chains.

The purpose of this study is to evaluate the profit efficiency of bioenergy industry and its determinants in EU28 region roadmaps for the transition towards energy efficiency which is increasingly perceived by stakeholders, researchers and the public as a pathway to bring dependency on fossil resources to a significant reduction. Many studies overlooked the importance of profit efficiency as a factor for bioenergy industry business improvement. More so, external environmental variables can play a key role in achieving profit efficiency in the industry.

This paper seeks to answer the questions on the following: (1) the profit efficiency level using the data envelopment analysis (DEA) approach in the EU28 region during the period between 1990 and 2018; and (2) to explore the impacts of external environmental variables on the profit efficiency level using panel regression model in the EU28 region during the period between 1990 and 2018.

Results revealed that gross domestic product, size of biomass and investment are essential for the development of the bioenergy industry and positively influence on profit efficiency level. The increase in temperature change decreased the profit efficiency level during 1990–2018.

For those profit-inefficient bioenergy industries in countries such as Cyprus and Ireland, participation in innovative programs, expanding a knowledge-based economic system and implementation of support policy for bioenergy technologies, by investing in biomass sources that are suitable for their respective renewable energy development will enhance specialization, resource efficiency and improved profitability can be expected in future.

Unlike other previous studies, this study investigated the profit efficiency by applying the DEA statistical method. Moreover, the authors have applied a second regression analysis to estimate the impacts of macroeconomic and microeconomic variables on the profit efficiency level. This study has focused on the EU28 region, including both developed and developing countries, to compare the level of profit efficiency levels in the selected sample. The authors have applied data panel analysis for the period from 1990 to 2018. No previous study has applied the methods, samples and periods as those used in this study. Therefore, this study contributes significantly to the bioenergy industry specifically and the renewable energy industry in general and to the associated extant research.

This paper aims to understand the implementation of a circular economic business where animal manure is used to produce biogas and alternative fertilizer in a regional network of manure suppliers and biogas producers and to reveal the impacts of five variables (manure quantity, transportation distance, manure dry content, manure price and manure discharge price) on the economic sustainability of manure-based biogas supply chains.

An enterprise input-output approach is used to model physical and monetary flows of the manure-based biogas supply chain. Computational experiments are performed on all variables to identify under which conditions the cooperation is beneficial for all actors.

The cooperation is profitable for a large-scale farm (>20,000 t/year) if biogas producer (b) pays farmer (f) to receive its manure (5 €/t) or if f sells manure for free and manure disposal costs are >10 €/t. Cooperation is always profitable for b if f pays b to supply its manure (5€/t). If b receives manure for free, benefits are always positive if b is a medium-large-scale plant (>20,000 t/year). For a small-scale plant, benefits are positive if manure dry content (MDC) is ≥12 per cent and transportation distance is ≤10 km.

The paper adds value to the biogas production research, as it makes holistic analysis of five variables which might change under different policy and geographical conditions. The investors in biogas production, suppliers and transportation companies can find correspondence to empirical findings for their own site-specific cases.

To better understand bioenergy's role in sustainable rural development and cleaner environment, it is necessary to place it in a local regional context. This paper aims to provide a conceptual approach for biomass-based energy self-sufficiency in rural areas of developing and underdeveloped countries having a strong agricultural sector. It further provides a framework for the estimation of surplus biomass and bioenergy potential and the biomass power emissions in a rural area.

A detailed approach is laid out to attain energy self-sufficiency in rural areas encompassing identification of surplus biomass resources in a selected area, suitable conversion technologies, consideration of local end-use priorities, skill development and monitoring of the project.

Following the novel approach proposed in this paper a case study analysis for Thanagazi block (Alwar District, India) is done, and it is observed that locally available biomass in the block can substitute more than 75% of the conventional energy demand and save 78% emissions vis-à-vis equivalent coal power. This indicates that creating local bioenergy production system as a means of substituting/complementing fossil energy can contribute to a cleaner self-sufficient ecosystem.

Biomass is a spatio-temporal resource. Prior works have looked at bioenergy potential for national or state levels; however, granular data to reveal a more realistic outlook in a rural area is the novelty of this work. Furthermore, biomass assessment studies largely focus on crop residual biomass, whereas the present study also includes livestock manure assessment which is a major resource in rural areas. This paper highlights the need and the approach for exploring locally available biomass to meet the local energy demands for clean energy security while considering the involvement of the local population in bioenergy planning and implementation.

Forest industries affect cultural sustainability profoundly, but little information exists on integration of cultural sustainability aspects into their Corporate Social Responsibility (CSR) management. Global Reporting Initiative (GRI) guidelines comprising assessments of economic, ecological and social aspects are one of the most comprehensive CSR frameworks applied widely also in forest industries. The purpose of this paper is to evaluate, how the GRI guidelines encompass cultural sustainability when assessing forestry and forest industry operations in a global context and to recognize the cultural sustainability themes that need additional information in forest industry companies’ CSR reporting.

In the qualitative analysis, expert interview material on indicators identified for assessing the cultural sustainability of forest bioenergy production in North Karelia was compared with the contents of the GRI guidelines. The focus on classifying the cultural indicators according to GRI contents was to recognize in the context of forest bioenergy production, the links between cultural sustainability and other sustainability dimensions and to illustrate the new themes that cultural sustainability integration would bring to CSR management of the business. In addition, information was acquired from the general themes of cultural sustainability which are currently lacking from the GRI guidelines.

The results of the show that most of the cultural indicators in the expert interview material were associated with aspects of economic, environmental or social sustainability when classified according to the GRI guidelines. Despite this, it seems that a more profound integration of cultural sustainability evaluations in CSR management is required. The analysis of this study showed that the themes “Impacts on landscape,” “Timeline of impacts,” “Spiritual values,” “Persistence of traditions” and “Adaptability to cultural change” are not approached in the GRI guidelines at all. All of the identified themes approach issues, which have been found to be crucial in forest industries’ operations not only in a local, but also in a global context.

The analysis of this study was limited to cultural characteristics of forestry and forest industries especially in the case of forest bioenergy production in North Karelia, Eastern Finland. Due to this, the results cannot be generalized directly into other CSR management contexts of forest industries in different geographical areas. Despite this, the results of this study indicate that when aiming to enhance the acceptability of forest industries in energy production as well as in other branches of forest industries, new insights are needed on the integration of cultural aspects in CSR management.

The pressures toward using local forest resources are increasing internationally. As a result of this, the managers and politicians responsible for making decisions on forest sector are less seldom familiar with local traditions and the ways of balancing different needs related to forests in various geographical contexts. In enhancing the environmental, social and economic sustainability of forest resource usage it is crucial to ensure that the decisions made do not conflict with cultural values of localities traditionally dependent on forests. Despite this, general information on cultural sustainability issues related to forests and especially CSR management in forest sector is scarce.

Horses play an important role in the agricultural industry around the world. The equestrian sector offers new markets and sustainable business opportunities. This paper, based on a structural equation modelling approach, seeks to explore the interests of Romanian entrepreneurs in developing a sustainable business in the equestrian sector by investing in the use of horse manure. This manure is an important renewable resource in the circular economy, including in the production of bioenergy and bio-fertilizers. The present research investigates whether there is an interest in developing such a business in Romania, built around three pillars: the environment, society and the economy.

PLS-SEM is an appropriate method for this research, where prediction of interest for sustainable entrepreneurship plays a central role. In total, 153 responses have been collected and validated based on a questionnaire and the invitations to complete were sent to people who are already entrepreneurs or have intention to become entrepreneurs in the near future.

The structural model shows that society's interest has the strongest effect on developing a sustainable business model through horse manure. Surprisingly, the study does not reflect an expected correlation between the interest in the environment and the development of a sustainable business model through horse manure resulting in bioenergy.

This study contributes to arousing the interest in research and even the development of a business by presenting the sustainability factors in the horse industry and adopting technological innovations, services, products and business models. The study was conducted in Romania, where, currently, the manure produced by horses is underexploited, and the equestrian sector requires new business models, innovations and sustainable development.

This paper aims to address the following challenge: the push to widen participation in public consultation suggests social media as an additional mechanism through which to engage the public. Bioenergy companies need to build their capacity to communicate in these new media and to monitor the attitudes of the public and opposition organizations towards energy development projects.

This short paper outlines the planning issues bioenergy developments face and the main methods of communication used in the public consultation process in the UK. The potential role of social media in communication with stakeholders is identified. The capacity of sentiment analysis to mine opinions from social media is summarised and illustrated using a sample of tweets containing the term “bioenergy”.

Social media have the potential to improve information flows between stakeholders and developers. Sentiment analysis is a viable methodology, which bioenergy companies should be using to measure public opinion in the consultation process. Preliminary analysis shows promising results.

Analysis is preliminary and based on a small dataset. It is intended only to illustrate the potential of sentiment analysis and not to draw general conclusions about the bioenergy sector.

Social media have the potential to open access to the consultation process and help bioenergy companies to make use of waste for energy developments.

Opinion mining, though established in marketing and political analysis, is not yet systematically applied as a planning consultation tool. This is a missed opportunity.

Industry 5.0 (I5.0) is eventually set to supersede Industry 4.0 (I4.0), despite the fact that I4.0 continues to gain ground in emerging nations like India. Now India is aspiring to be a global manufacturing hub, and I5.0 offers enormous potential to position India as a forerunner in intelligent and collaborative manufacturing systems. Therefore, this research article aims to understand the relationship between I5.0 and sustainable manufacturing (SM) thoroughly; pinpoint its impact and implementation challenges; analyze its impact on Triple-Bottom-Line (TBL) sustainability; and present an inclusive framework for I5.0 implementation for Indian manufacturing enterprises.

The coexistence of two industrial revolutions raises questions, which necessitates debates and explanations. Thus, the systematic literature review (SLR) approach is used to address this issue and this study used Web of Science, Scopus, Science Direct and Google Scholar databases. Following a critical SLR, 82 research papers have been cited in this article, and the majority of cited articles were published from 2010 to 2022, to ensure a focused analysis of pertinent and recent scholarly contributions.

I4.0 is considered to be technology-driven, however, I5.0 is perceived to be value-driven. I5.0 is not a replacement or a chronological continuation of the I4.0 paradigm. The notion of I5.0 offers a distinct perspective and emphasizes the necessity of research on SM within the TBL sustainability boundaries. I5.0 introduces a new TBL: resilience in value creation, human well-being and sustainable society. Indeed, I5.0 seems to be economically, socially, and environmentally sustainable while manufacturing products with high productivity.

Theoretical implications pertain to restructuring business models and workforce transformation, whereas practical implications underscore the significance for manufacturing enterprises to embrace I5.0 for their sustainable development. By understanding the nuanced relationship between I5.0 and SM, enterprises can navigate implementation challenges, maximize TBL sustainability and embrace an inclusive I5.0 framework for high productivity and resilience.

The existing literature presents the general notion of I5.0 but lacks in-depth TBL sustainability analysis. This research used a systematic and rigorous SLR approach that evaluates the existing literature, enables an in-depth understanding, identifies research gaps and provides evidence-based recommendations for the decision-making process. Furthermore, this research aims to stand on an unbiased assessment, exploring theoretical and practical implications of I5.0 implementation for manufacturing enterprises and suggesting future research avenues.