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Although the research promotes deploying renewable energy technologies (RETs) due to their inherently eco-friendly characteristics, consumer acceptance is relatively low, making RETs acceptance a subject of interest for most recent research. This systematic study aims to integrate and synthesize earlier research on the acceptance of RETs, assessing state-of-the-art and painting a complete picture of the consumer's adoption intention.

A systematic literature review and bibliometric analysis on the topic of RETs acceptance have been conducted to understand the spectrum of theoretical and methodological methods used in the past, as well as how the users perceive and react to the adoption of it.

The study of selected 70 research articles showed the role of technology, consumer acceptance and decision-making process as factors influencing the acceptance of RET. The findings suggest that it is crucial to comprehend these factors since users' opinions significantly affect the acceptance and use of renewable technologies.

This paper reviews the research on adopting RETs and identifies factors influencing it. The study further endorses that technology like digitalization can promote the acceptability of renewable energy sources and, inadvertently, assist managers and policymakers in managing business models and making better decisions for sustainable investments.

Research on accepting RETs by integrating the social and technological components is still in its infancy. This study is a novel attempt to identify broad patterns of RETs that can improve communication between decision-makers, technologists and users and aid in the switch to a sustainable energy transition.

The purpose of the project is to explore the biosoftening of raw areca nut fibers using two different biological retting methods and assess their impact on fiber properties for improved spinning. The study aims to contribute to the fashion industry’s shift toward sustainability.

The project involves collecting raw brown areca shells, subjecting them to two retting methods (stagnant water retting and changing water daily retting) and then extracting and drying the fibers. Various physical and chemical properties of the fibers are measured to evaluate their suitability for spinning.

The stagnant water retting method, especially the fibers obtained on the second day, showed improved properties in terms of fiber strength, elongation, fineness and cellulose content, making them suitable for spinning applications. The method also resulted in better moisture regain.

The study focused on two retting methods and a limited timeframe. Further research could explore additional techniques and durations. The labor-intensive nature of the daily changing water retting method may have implications for scalability.

The project demonstrates a cost-effective and sustainable method for converting agricultural waste (areca nut husks) into valuable fibers suitable for various end users.

The research supports the fashion industry’s sustainability efforts by promoting the use of eco-friendly natural fibers, potentially benefiting rural farming communities.

The project highlights the innovative use of areca nut fibers and their potential to contribute to sustainable fashion. The stagnant water retting method is presented as a reliable and effective approach for improving fiber properties. Additionally, all fiber testing was exclusively conducted at the South India Textile Research Association (SITRA), with sponsorship from the industry and support from the Ministry of Textiles, Government of India.

This study aims to investigate the effect of oil prices, economic growth and information communication technology (ICT) on investment into renewable energy transition (RET).

Based on six selected African countries (i.e. Algeria, Egypt, Angola, Ethiopia, South Africa and Nigeria), the study uses a nonlinear autoregressive distributed lag model over the period from 1995 to 2020.

The results show that increasing oil prices, by substitution effect, leads to increasing RET investment, while declining oil prices lead to decreasing RET investment in the short and long run. Furthermore, the results reveal that increasing real gross domestic product leads to increased RET investment, while declining real gross domestic product (GDP) leads to decreasing RET investment both in the short and long run. Simultaneously, the study shows that increasing ICT has a significant and positive impact on RET investment, while declining ICT has a significant negative impact on RET investment in the short and long run.

The findings of this study have advanced the understanding of which factors significantly influence RET investment and the need to concentrate efforts on strategically addressing those factors. The findings indicate that these countries are at the progressive stage in terms of renewable energy; though increasing oil prices contribute to rising RET investment, the countries can be more proactive by improving the full potential of ICT as well as facilitating the growth of their economies.

Researchers began investigating the diffusion of renewable energy technologies (RETs) in the late 1990s, and, up to today, a variety of authors have presented different approaches to understand the special characteristics of RET diffusion. However, one factor has been thus far disregarded in the research: the influence of raw material prices on RET diffusion. The dependence of a multitude of technologies on raw material prices became especially apparent in recent years due to rather sudden and volatile price movements in raw material markets. Thus, the aim of this work is to contribute to the research by providing evidence for a direct linkage between raw material price developments and RET diffusion.

A theoretical framework used in this article derives from the concept of induced diffusion. This empirical study is based on publicly available data of 18 Organisation for Economic Co-operation and Development (OECD) countries over 20 years and uses multivariate regression analysis to identify the corresponding diffusion models for selected established and emerging RETs.

Results reveal that crude oil prices play a crucial role in the diffusion of emerging RETs. In addition, a joint reflection of induced diffusion and path dependencies as the theoretical foundation of RET diffusion models might be reasonable.

This paper makes a significant contribution to the literature on induced diffusion in the field of renewable energies by providing insights from publicly available data from 18 OECD-countries. The findings are highly relevant for managers of the energy industry and policymakers in this field.

The present study seeks to shed further light on the effectiveness of Basu (1997) and Khan and Watts' (2009) differential timeliness metrics in detecting predictable differences in conservatism following corrections of restated earnings.

Using cross-sectional and time-series analyses for companies listed on the Tehran Stock Exchange during 2009–2013, the results indicate lower conservatism for restating firms as compared to their counterparts during prerestatement period.

Using cross-sectional and time-series analyses for companies listed on the Tehran Stock Exchange during 2009–2013, the results indicate lower conservatism for restating firms as compared to their counterparts during prerestatement period. In contrast, our findings are indicative of higher conservatism among these restating firms during the years of restatements. Moreover, the time-series approach captures a higher conservatism for the restating firms during restatement years than prerestatement periods. Overall, these results provide insight into the usefulness of the metrics used in the restatement setting.

Similar to recent papers, the present study seeks to shed further light on the ability of Basu-based coupled with Khan–Watts-based measures of conservatism to detect situations in which companies' earnings are known to be significantly restated.

The purpose of this paper is to study the optimum culture condition of flax-retting enzyme, and applying the enzyme liquors to retting. In addition to research the structure of flax stem in enzyme retting using scanning electron microscopy (SEM).

The influence of cultural parameters such as moisture level, temperature, incubation time and inoculum size were evaluated with respect to polygalacturonase and xylanase yield. The structure of flax stem was revealed by SEM.

The flax was retted by dilute enzyme liquors (polygalacturonase/25 U/ml, xylanase/1 U/ml), and 24-h retting period was obtained. The SEM studies revealed the removal of a large amount of non-cellulosic gummy material of flax stem in enzyme retting.

First, flax-retting enzyme containing higher-yield polygalacturonase, lower-yield xylanase and no cellulose was yielded by SSF. Second, the composition of enzyme could meet flax retting and no damage cellulosic fibre. Finally, only low-cost wheat bran, citrus peel powder and mineral salt were employed in substrate, which could reduce the overall cost of enzyme production and flax retting.

There are several approaches trying to explain the diffusion of renewable energy technologies (RET). The most commonly used instruments are learning and experience curves, followed by further economic, policy- and barrier-related analyses. In order to gain a more comprehensive understanding, additional influence factors on RET diffusion have to be studied. This paper aims to contribute to research on RET diffusion by adding the raw material price perspective.

The authors develop a regression model to test the influence of raw material prices on RET diffusion, using investments in RET capacities as indicators of diffusion, and crude oil and natural gas prices as well as public R&D subsidies as main independent variables. The model is then applied to emerging RET (wind and solar power) for electricity generation in 18 OECD-countries.

In the case of wind power, the model shows an adequate fit and a highly significant impact of oil as well as gas prices on investments in RET capacity. In the case of solar power, the impact of raw material prices proves to be highly significant as well, but the weak model fit demands further adjustments of the parameters.

Theoretical implications include the expansion of existing RET diffusion models to a raw material price component. From a practical point of view, the authors provide a starting basis for the systematic integration of raw material price developments into companies' planning and forecasting processes.

This research aims to analyse cognitive factors, innovation attributes and their influence on adoption of solar renewable energy technologies (RETs) for urban households in Mexico. It expands existing cognitive frameworks by including variables from diffusion of innovation theory.

On the basis of the data of 291 urban consumers and through the use of partial least squares (PLS), the proposed model was empirically tested. Finite mixture PLS method helped identify two market segments.

Findings suggest that beliefs about consequences of adopting RETs have significant influence in shaping consumer’s attitudes towards RETs which were found to be an accurate predictor of the behavioural intention to adopt these technologies. Regarding innovation attributes, the results show that for a solar heater to be adopted, it should be compatible with the social values of the consumer. Triability and relative advantage show little influence on attitude formation. Two market segments found differ on the basis of beliefs and attitudes.

The study was limited to analyse consumer responses to solar energy in residential urban settings.

Organizations wanting to increase their consumer base need to develop sound technological innovations with high levels of compatibility a low complexity.

The study combines diffusion of innovation theory with cognitive frameworks and finds that innovation attributes become strong predictors of intentions to adopt RETs.

To determine the role of status information conveyance in a negative reward allocation setting.

Using previously published experimental data, we test the relative effects of status information conveyed by expressive and indicative status cues on the allocation of a negative reward. Further, we construct an alternative graph theoretic model of expectation advantage which is also tested to determine its model fit relative to the classic model of Reward Expectations Theory.

Results provide strong support for the conclusion that status information conveyed by expressive status cues influences reward allocations more than information conveyed by indicative cues. We also find evidence that our alternative graph theoretic model of expectation advantage improves model fit.

This research is the first to test the relative impact of expressive versus indicative status cues on the allocation of negative rewards and shows that status characteristics can have differential impacts on these allocations contingent on how characteristics are conveyed. Furthermore, the research suggests a graph theoretic model that allows for this differentiation based on information conveyance and provides empirical support for its structure in a negative reward allocation environment.

Future research is required to validate the results in positive reward situations.

The results show that an individual’s expectations are altered by varying the manner in which status information is presented, thereby influencing the construction and maintenance of status hierarchies and the inequalities those structures generate. Thus, this research has implications for any group or evaluative task where status processes are relevant.

The purpose of this paper is to understand the issues related to the deployment of renewable electricity technologies (RETs) in remote indigenous communities by examining the views of key informants in a remote northern Ontario community through the lens of a wicked problem approach, with the goal to identify policy direction and strategies for the further development of renewable electricity projects.

The paper uses semi-structured interviews with community key informants, informed discussions with community members and energy conference participants and literature reviews of academic, policy and utility documents as complementary data sources for triangulation of results.

According to informants, the complexity surrounding the deployment of RETs in remote Canadian indigenous communities is the result of different stakeholder perspectives on the issues that RETs are expected to address. Furthermore, institutional complexity of the electricity generation system and uncertainty over both the choice of off-grid renewable technology and the future of electricity generation systems structure and governance add to this complexity.

Given the governments’ legal obligation to consult with indigenous people for projects within their territories, community perspectives provide insights for policy design to support both the deployment of RETs and address indigenous communities sustainability goals.

This paper offers views and opinions of community members from an off-grid Canadian indigenous community. Community members describe how they envision their electricity systems and the desired contribution of community owned renewable electricity generation to increase local control and economic development.