Sustainable Technology and Entrepreneurship最新文献

Adoption of international standards and investment in research and development (R&D), can be seen as two possible paths to support enterprises’ sustainable innovation and technological progress. This study argues that some aspects of R&D investment and certification to international standards are connected by identifying common factors that influence standards certification and business investment in R&D and examining the potential associations between the two. First, we examine the relationship between standards certification and R&D investments in European firms and identify enterprise characteristics that potentially affect each of the two concerns, focusing on differences and similarities. The analysis uses data from the World Bank Enterprise Surveys collected in 2018 and 2019 in selected European countries. We analyse the share and characteristics of firms that applied international standards and R&D expenditures. The probit regression results reveal a positive correlation between R&D expenditures and certification. Other factors affecting the probability of certification include size, export focus and industry. Bivariate probit regression allows us to identify common factors affecting both R&D expenditures and certification, showing significant variations between different forms of entrepreneurship. Subsidiaries of larger companies have a greater chance of being certified and investing in R&D. In contrast, sole proprietorships are significantly less active in both cases. Mentioned factors affects firms’ capabilities to develop sustainable innovation and adopt new sustainable technologies.

Higher Education Institutions (HEIs) currently face new challenges that break traditional schemes which focus solely on teaching. HEIs have become organizations that explore and exploit existing knowledge through technology transfer and commercialization. This study analyzes the effect of Performance Measurement Systems (PMSs) on the outcome of knowledge ambidexterity (i.e., the simultaneous pursuit of exploration and exploitation). A Qualitative Comparative Fuzzy Set Analysis was performed, which identified the combination of the antecedent conditions that generate exploration and exploitation outcomes in Ibero-American HEIs. These results show that knowledge ambidexterity performance in Ibero-American universities is conditioned by the design of the PMSs in every particular university context that considers the combination of these factors: Absorptive Capacity, Indicator System, Reward System and Organizational Structures. Overall, this study demonstrates that PMSs have a positive effect on achieving success in the exploration (research performance and academic reputation) and exploitation (technology transfer and employability) of knowledge in Ibero-American HEIs.

Entrepreneurship Development has been among the key thrust areas of economic development, however, still, there lies a paucity of information related to the factors that make people, especially the younger generation become entrepreneurs that lead to the education for sustainable development. The younger generation in this study refers to university students. An attempt has been made through this research paper to ascertain the factors influencing the younger generation to become entrepreneurs. In order to expand on the theory of planned behavior framework and clarify the impact of such support on student entrepreneurial ambition, this study embraced the theory of planned behavior perspective in conjunction with perceived family support. The analysis has been performed on a data set of 221 questionnaires and Structural Equation Modelling has been adopted to avail the results using AMOS software. The findings show that MF (Motivational Factors) and FS (Family Support) have a significant effect on the EI (Entrepreneurial Intentions) of the students. It has also been observed that FS (Family Support) intensifies the association between MF (Motivational Factors) and EI (Entrepreneurial Intentions).

This paper provides an overview of empirical studies on process innovation in food through a systematic review of 63 articles published in English in several research journals. The main purpose is to understand the status quo of process innovation in food industry, suggest future research agenda, and propose a framework for describing food process innovations. The review is guided by Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). This study argues that reviewed literature has not adequately addressed process innovation in the food industry, especially with orientation to financing structures and financial performance. Moreover, the specific measurement scale for process innovation in the food industry is lacking. This paper enlightens scholars and practitioners in the agri-food industry on the current situation of process innovation and avenues for advancement. The major contribution of this study is the proposed framework for describing food process innovation. Several research agendas are suggested. The need for developing a specific measurement scale for food process innovations is contended.

Fisheries, particularly small-scale fisheries, is recognized as a source of dietary diversity, food security, and poverty alleviation. Fish is widely regarded as a significant source of protein. Despite the significance of fisheries, it is faced with several challenges such as constant change in climate. This study was conducted to examine the perception of fisher folks on climate change and the relationship between socio-economic characteristics and adoption of climate smart fisheries using semi-structured questionnaire. Perception towards climate change and adoption of climate-smart fisheries were analyzed using statistical inferential statistics. The predictor of co-management as a mitigative measure for climate change in fisheries was also analyzed with an ordered logistic regression technique. The result showed that 92.5 % of the fishers have formal education. Majority of the fishers (98.3 %) have no access to storage facilities whilst 96.66 % have access to market. In addition, 31.66 % of the fishers have access to information on climatic and weather conditions. On the perception of climate change, 47.5 % of fishers perceived decrease in amount of rainfall as evidence of climate change whilst 66.6 % perceived decrease in sea level as evidence of climate change. A few fishers perceived an increase in humidity, change in temperature and wind-storm or sea breeze as evidence of climate change. Again, 48.33 % of the fishers agree to reduction of fleet's carbon emission whilst 33.33 % fishers disagreed to diversifying sources of household income as an adoption to climate-smart fisheries. Additional cost in the beginning of adoption of climate smart fisheries as a constraint was agreed upon by 50.00 % of fishers. The results of the ordered logistic regression show that age, education, having a second source of income and an increase of fuel subsidy are statistically significant to fishers perception of the extent to which co-management could contribute to address climate change was detected.

The progress in industrial and corporate blockchain technology, particularly the pioneering fintech financing methods rooted in blockchain like Initial Coin Offerings (ICOs) and Security Token Offerings (STOs), has the potential to disrupt across industries. These innovations offer creative solutions to address longstanding challenges. However, the novelty of these concepts has given rise to issues related to information asymmetry among investors, exacerbated by the opinions shared on social media platforms. To comprehensively analyse the trends of these technologies and their societal impact, as well as their influence on the contemporary business landscape, we conducted a study in the social platforms X (formerly known as Twitter) analysing 59,453 tweets using natural language processing (NLP). Through this research, we have identified key topics such as investment security or corporate challenges that provide valuable insights and structured information essential for industry stakeholders. In summary, this study explores the dynamic interplay between blockchain technology, ICOs, STOs and social media in the industry. It sheds light on the sentiment and implications of the use of this technology and these emerging financial models, offering a nuanced understanding of their impact on the market. Thus, the idea that user opinions play a crucial role in influencing decisions is supported, and their impact can fluctuate depending on the changing dynamics of the market.

There is an increasing risk of outbreaks escalating into epidemics, despite huge advances in medical science. Epidemics like COVID-19, Monkeypox, Influenza and HIV have been affecting people and public health infrastructure at an alarming rate around the world. COVID-19 alone has infected more than 500 million people out of which 6 million have died over 100 countries. HIV is also a major global public health issue and has claimed 85.6 million lives till 2023. Forecasting the trends of these epidemics is important in order to efficiently manage national and global health risks by improving early warning systems. Therefore an intelligent framework to forecast epidemic diseases is proposed and a detailed comparative analysis is conducted using different time-series models. This study contributes to (Sustainable Development Goal) SDG-3 by predicting epidemics disease trends precisely using ARIMA, Polynomial Regression, SARIMA, Holt’s, Fb-Prophet time-series models, which can decrease the burden on healthcare systems. Using the best-suited models, the Mean Absolute Percentage Error (MAPE) values for Monkeypox, HIV, COVID-19 and Influenza forecasting were 0.0129, 0.0035, 0.0011, and 0.024 respectively.

Considering the informational overwhelm of the last few years and given the rise in new entrepreneurship of communication means, the optimization of commercial communication's marketing has become one of the primary objectives of marketing strategy. The quantitative computation of the number of impacts has been rendered insufficient for evaluating and planning a communication campaign. Strategic planning relies on increasingly more precise models for determining the desired formula. These models do not typically take the physiological parameter essential to decision-making into account: emotion. The technologies applied to the new methodologies that neuromarketing brings rely on great support from theorists and professionals, even though hardly any studies that center on strategic planning media exist. In this study, we present an analysis of the residual effect and the distortion of erroneous attribution stemming from neuromarketing's own technologies with the objective of analyzing the influence of adjacent content items on the subject's decision-making process. Cross-technologies were used: EEG and GSR, with the goal of analyzing the subject's emotional activation and motivation. The results demonstrate an emotional dragging effect and the appearance of bias of attribution with very significant values in every case, showing notable differences regarding the nature and polarity of emotions.

Green marketing is a tool used to encourage the promotion of goods or services, which mainly seeks to safeguard the environment from social, political, and economic activities. The objective of this study was to design green marketing strategies to promote nature tourism in the Coto de Caza El Angolo Protected Natural Area [hereinafter ANP CCEA]. A basic study with a non-experimental, descriptive and cross-sectional design with a quantitative approach was chosen. Simple random probability sampling was used, with a sample of 133 potential visitors. The technique used was the survey and the instrument used was a questionnaire with 15 items. The study showed the need to implement green marketing strategies that provide a service familiar with environmental protection, including recycling and reuse practices. Also, offer fair and competitive prices based on the customer's perspective and perceived quality. The green marketplace strategy focuses on reverse logistics and/or circular economy, given that the service provided should not generate damage to the environment during the commercialization process, nor put at risk the preservation of scarce resources. The green promotion strategy focuses on using social networks, thus optimizing the amount of resources used. In addition, villagers should create and market distinctive souvenirs of the area that are created with local resources. It is also recommended to implement social marketing strategies focused on persuading a change in behavior, using digital marketing channels such as electronic wallets and encouraging the host community to diversify and enhance the services offered.

This research delves into the multifaceted challenges posed to society and regional development in the wake of Russia's invasion of Ukraine, with a specific focus on the period spanning from February 2022 to February 2023 as a response to the social and entrepreneurial threats that have appeared due to the conflict. In addition, this research seeks not only to alleviate prevailing uncertainties but also to facilitate a comprehensive understanding of the economic landscape by identifying causal factors and providing a relevant contextual framework for the threats to society and regional development in the aftermath of Russia's invasion of Ukraine, which affects sustainability both economically and socially. These disruptions have given rise to unprecedented uncertainties that could potentially trigger an irreversible cascade of shortages, leading to escalating costs of critical or irreplaceable products that directly affect regional development. This paper scrutinizes this intricate process, aiming to discern underlying patterns and mitigate the prevailing uncertainty—a state that challenges rational decision-making. In this pursuit, established economic theories are deployed to provide comprehensive insights into the evolving reality. Through an in-depth analysis of the interplay between the Covid-19 pandemic, the ensuing economic crisis, and the ramifications of the Ukraine-Russia conflict, this research reveals a stark decline in economic growth. In addition, the present study explores potential solutions, emphasizing the importance of enhancing workforce skills through meticulously designed educational strategies and promoting gender diversity in science, technology, engineering and mathematics (STEM) programs.