Blockchain technology in the renewable energy sector: A co-word analysis of academic discourse.

The transformative potential of blockchain technology in the renewable energy sector is increasingly gaining recognition for its capacity to enhance energy efficiency, enable decentralized trading, and ensure transaction transparency. However, despite its growing importance, there exists a significant knowledge gap in the holistic understanding of its integration and impact within this sector. Addressing this gap, the current study employs a pioneering approach, marking it as the first comprehensive bibliometric analysis in this field. We have systematically examined 390 journal articles from the Web of Science database, covering the period from 2017 through the end of February 2024, to map the current landscape and thematic trajectories of blockchain technology in renewable energy. The findings highlight several critical thematic areas, including blockchain's integration with smart grids, its role in electric vehicle integration, and its application in sustainable urban energy systems. These themes not only illustrate the diverse applications of blockchain but also its substantial potential to revolutionize energy systems. This study not only fills a crucial gap in existing literature but also sets a precedent for future interdisciplinary research in this domain, bridging theoretical insights with practical applications to fully harness the potential of blockchain in the renewable energy sector.

Quality of Life and Use of Complementary and Alternative Medicines among Narcotics Anonymous Patients: A Cross-Sectional Study in Southeast Iran.

Background: Addiction, a chronic and recurrent disorder, is associated with lasting changes in the brain and can significantly affect the quality of life of people. Complementary and alternative medicine (CAM) along with modern medical treatments can improve the quality of life of individuals. This study aimed to investigate the relationship between the use of complementary and alternative medicines (CAMs) and quality of life in narcotics anonymous patients. Methods: This cross-sectional study was performed on 189 narcotics anonymous patients in southeastern Iran. Using questionnaires such as the demographic information, the World Health Organization Quality of Life-BREF (WHOQOL-BREF), CAM, and satisfaction with the use of CAM, the researcher was able to compile a comprehensive picture of the population. Results: The mean score of overall quality of life and general health was 64.02 ± 23.32. Overall, 66.1 percent (n = 125) of the participants reported using at least one type of CAM in the previous year. Last year, 25.9% of participants used at least one kind of CAM, 22.8% used two types of CAM, 7.9% used three types of CAM, and 4.8% used four to five types of CAM. Thirty-nine point seven percent of them reported using prayer, 36.5% reported using medicinal herbs, 15.3% of participants reported using massage, 14.3% of participants reported using dietary supplements, 12.2% reported using wet cupping, and 8.5% reported using meditation. There were no significant differences in physical, psychological, environmental, and overall quality of life between CAM users and non-CAM users. The prayer users had significantly higher scores in terms of social relationships, environment, and overall quality of life than nonprayer users. Employed participants and opium users had significantly higher overall quality of life than others. Conclusion: Although there was no difference in quality of life between CAM and non-CAM users, the present study showed that prayer and medicinal herbs were the most commonly used methods among narcotics anonymous patients. However, prayer and religious beliefs were successful in improving the quality of life of these individuals. Physicians and other healthcare providers must advise patients with addiction to use different CAMs in order to improve their quality of life and quit narcotics. Future in-depth studies could help these patients use CAMs and improve their quality of life.

Circular Economy Research in the COVID-19 Era: a Review and the Road Ahead.

The onset of the Coronavirus Disease 2019 (COVID-19) pandemic has resulted in a major crisis that has severely impacted numerous economic, environmental, and social aspects of human life. During the pandemic, the potential of the circular economy (CE) has gained increasing attention as a prospective remedy for numerous sustainability problems. This systematic literature review charts CE research in the COVID-19 era. To this end, 160 journal articles were selected from the Scopus database. The performance indicators of the literature were determined and described through a bibliometric analysis. Moreover, the conceptual structure of CE research was identified via a keyword co-occurrence network. Based on bibliographic coupling, the focus of CE research in the COVID-19 era revolves mainly around five thematic areas, including: (1) waste management; (2) digitalization and sustainable supply chain management; (3) the impact of COVID-19 on food systems; (4) sustainable development goals, smart cities, and bioeconomy; and (5) closed-loop supply chains. Overall, this review contributes to enriching the literature by determining the main thematic areas and future research directions that can help to advance the transition to the CE and reduce the impact of COVID-19 and similar disasters in the future.

Correction to: Circular Economy Research in the COVID-19 Era: A Review and the Road Ahead.

[This corrects the article DOI: 10.1007/s43615-023-00265-2.].

Determinants of cloud computing integration and its impact on sustainable performance in SMEs: An empirical investigation using the SEM-ANN approach.

Although extant literature has thoroughly investigated the incorporation of cloud computing services, examining their influence on sustainable performance, particularly at the organizational level, is insufficient. Consequently, the present research aims to assess the factors that impact the integration of cloud computing within small and medium-sized enterprises (SMEs) and its subsequent effects on environmental, financial, and social performance. The data were collected from 415 SMEs and were analyzed using a hybrid SEM-ANN approach. PLS-SEM results indicate that relative advantage, complexity, compatibility, top management support, cost reduction, and government support significantly affect cloud computing integration. This study also empirically demonstrated that SMEs could improve their financial, environmental, and social performance by integrating cloud computing services. ANN results show that complexity, with a normalized importance (NI) of 89.14%, is ranked the first among other factors affecting cloud computing integration in SMEs. This is followed by cost reduction (NI = 82.67%), government support (NI = 73.37%), compatibility (NI = 70.02%), top management support (NI = 52.43%), and relative advantage (NI = 48.72%). Theoretically, this study goes beyond examining the determinants affecting cloud computing integration by examining their impact on SMEs' environmental, financial, and social performance in a comprehensive manner. The study also provides several practical implications for policymakers, SME managers, and cloud computing service providers.

Impacts of the COVID-19 pandemic on household food waste behaviour: A systematic review.

Food waste has adverse economic, social, and environmental impacts and increases the prevalence of food insecurity. Panic buying at the beginning of the COVID-19 outbreak raised serious concerns about a potential rise in food waste levels and higher pressure on waste management systems. This article aims to investigate the impact of COVID-19 on food waste behaviour and the extent to which it occurs using the systematic review method. A total of 38 articles were identified and reviewed following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The findings showed that the COVID-19 pandemic led to reductions in household food waste in most countries. Several changes in shopping and cooking behaviours, food consumption, and managing inventory and leftovers have occurred due to COVID-19. Based on these insights, we predicted that some desirable food-management habits would be retained, and others would roll back in the post-COVID-19 world. The review contributes to the food waste literature by offering a comprehensive overview of behavioural changes during the COVID-19 pandemic and future research directions.

A causal eco-industrial park hierarchical transition model with qualitative information: Policy and regulatory framework leads to collaboration among firms.

Eco-industrial parks promise to reduce environmental and social impacts and improve the economic performance of industrial parks. However, the transition from industrial parks to eco-industrial parks is still not well understood. This study contributes to developing valid hierarchical eco-industrial park transition attribute sets with qualitative information, as prior studies lack an exploration of the attributes in the transition of eco-industrial parks in Hungary. In nature, eco-industrial park transition attributes have causal and hierarchical interrelationships and are described with qualitative information. The assessment involves an analysis of the industrial symbiosis principles by using linguistic preferences. However, multiple attributes are involved in the assessment; therefore, this study proposes the Delphi method to develop a valid attribute set and applies fuzzy set theory to translate qualitative information into crisp values. The fuzzy decision-making trial evaluation laboratory method is used to visualize the attributes' causal interrelationships under uncertainties. The results indicate that the policy and regulatory framework leads to collaboration among firms in the eco-industrial park transition model. In practice, price reforms, management commitment, strategic planning, cognitive barriers and the integration of external information are the practical criteria for improvement. Theoretical and practical implications are also discussed.

Stress and Quality of Life of Patients with Cancer: The Mediating Role of Mindfulness.

BACKGROUND: Cancer is one of the major health problems worldwide, which in addition to physical disorders, causes stress and anxiety in patients and affects the quality of life of cancer patients. Mindfulness can affect stress and improve the quality of life. This research explained the correlation between stress, quality of life, and mindfulness. MATERIALS AND METHODS: Two hundred five cancer patients participated in this cross-sectional study. Patients completed the EORTC Quality of Life Questionnaire Core 30 (EORTC QLQ-C30), the Mindfulness Attention and Awareness Scale (MAAS), and Perceived Stress Scale (PSS). RESULTS: Perceived stress and mindfulness predict nearly 39% of the changes of QOL in cancer patients. In addition, perceived stress was negatively associated with mindfulness and quality of life (P < 0.05). Mindfulness was positively correlated with quality of life (P < 0.05). Mindfulness played a mediating role in the relationship between perceived stress and quality of life (standardized ß = -0.13; SE = 0.07, 95% confidence interval = -0.28 to -0.01; P value = 0.04). CONCLUSION: In the present study, the variables of mindfulness and perceived stress affected the quality of life of cancer patients. Mindfulness can affect the quality of life of cancer patients directly and indirectly. These results emphasize the importance of mindfulness in the lives of cancer patients.

Understanding the behavioural intention to dispose of unused medicines: an extension of the theory of planned behaviour.

This study examined behavioural intention to dispose of unused medicines using a comprehensive model integrating the theory of planned behaviour (TPB), with knowledge as a driver of personal norms; attitudes, personal norms, and perceived busyness as additional drivers of behavioural intention; and perceived convenience as a moderator. The model was tested with data collected from 204 respondents using the partial least squares technique. Knowledge about the proper disposal of unused medicines was recognized as a strong predictor of personal norms and attitudes towards proper disposal of waste medications. The results showed that attitudes, personal norms, perceived busyness, and perceived behavioural control have significant effects on intention to dispose of unused medicines. Furthermore, perceived convenience moderates the impacts of attitude, personal norms, and perceived behavioural control on intention to dispose of unused medicines. The extended TPB explained 55.7% of the variance of intention to dispose of unused medicines properly. Our results indicate the importance of integrating additional variables into the TPB to enhance its explanatory power in predicting behavioural intention. The results suggest to governments that in order to implement planned programs for proper collection and destruction of waste medication, a plan is needed to enhance public knowledge on the impacts of improper medication waste disposal on the environment, and also that collection points should become accessible for anyone.

Toward sustainable solid waste minimization by manufacturing firms in Malaysia: strengths and weaknesses.

Malaysia is facing an increasing trend in industrial solid waste generation due to industrial development. Thus, there is a paramount need in taking practical actions and measurements to move toward sustainable industrial waste management. The main aim of this study is to assess practicing solid waste minimization by manufacturing firms. Analysis showed that majority of firms (92%) dispose of their wastes rather than utilize other sustainable waste management options. Also, waste minimization methods such as segregation of wastes, on-site recycle and reuse, improved housekeeping, and equipment modification were found to have significant contribution to waste reduction (p < 0.05). Lack of expertise (M = 3.50), lack of enough information (M = 3.54), lack of equipment modification (M = 3.16), and lack of specific waste minimization guidelines (M = 3.49) have higher mean score comparing with other barriers in different categories. These data were interpreted for elaborating on SWOT and TOWS (strengths, weaknesses, threats, and opportunities) matrix to highlight strengths, weaknesses, threats, and opportunities. Subsequently, ten policies were recommended for improvement of practicing waste minimization by manufacturing firms as the main objective of this research.

RFID Continuance Usage Intention in Health Care Industry.

Radio-frequency identification (RFID) has been proved to be an effective tool both for improving operational efficiency and for gaining competitive advantage in the health care industry despite its relatively low-usage rate in hospitals. The sustained use of RFID by health care professionals will promote its development in the long term. This study evaluates the acceptance continuance of RFID among health care professionals through technology continuance theory (TCT). Data were collected from 178 medical professionals in Malaysia and were then analyzed using the partial least squares technique. The analysis showed that the TCT model provided not only a thorough understanding of the continuance behavior of health care professionals toward RFID but also the attitudes, satisfaction, and perceived usefulness of professionals toward it. The results of this study are expected to assist policy makers and managers in the health care industry in implementing the RFID technology in hospitals by understanding the determinants of continuance of RFID usage intention.

EMR continuance usage intention of healthcare professionals.

Electronic medical records (EMRs) have been proven to be effective tools for improving the safety and quality of healthcare despite their relatively low usage rate in hospitals. The long-term development by EMRs depends on the continued use of healthcare professionals. In this study, technology continuance theory (TCT) was used to evaluate the short-term and long-term continuance acceptance of EMRs among healthcare professionals. Data were gathered by surveying 195 medical professionals in Iran. The data were analyzed using the partial least squares (PLS) technique. The analysis showed that the TCT provided a deep understanding of user continuance intention toward EMRs. In addition, the findings illustrated that the determinants of continuance intention vary between short-term and long-term users. The theoretical and practical implications of the study are discussed.

Determinants of RFID adoption in Malaysia's healthcare industry: occupational level as a moderator.

With today's highly competitive market in the healthcare industry, Radio Frequency Identification (RFID) is a technology that can be applied by hospitals to improve operational efficiency and to gain a competitive advantage over their competitors. The purpose of this study is to investigate the factors that may effect RFID adoption in Malaysia's healthcare industry. In addition, the moderating role of occupational level was tested. Data was collected from 223 managers as well as healthcare and supporting staffs. This data was analyzed using the partial least squares technique. The results show that perceived ease of use and usefulness, government policy, top management support, and security and privacy concerns have an effect on the intent to adopt RFID in hospitals. There is a wide gap between managers and healthcare staff in terms of the factors that influence RFID adoption. The results of this study will help decision makers as well as managers in the healthcare industry to better understand the determinants of RFID adoption. Additionally, it will assist in the process of RFID adoption, and therefore, spread the usage of RFID technology in more hospitals.

Determinants of telemedicine acceptance in selected public hospitals in Malaysia: clinical perspective.

The purpose of this study is to explore the determinants of telemedicine acceptance in selected public hospitals in Malaysia and to investigate the effect of health culture on the relationship between these determinants and telemedicine acceptance. Data were gathered by means of a survey of physicians and nurses as the main group of users of telemedicine technology from hospitals that are currently using telemedicine technology. The results indicated that government policies, top management support, perception of usefulness and computer self-efficiency have a positive and significant impact on telemedicine acceptance by public hospitals in Malaysia. The results also confirmed the moderating role of health culture on the relationship between government policies as well as perceived usefulness on telemedicine acceptance by Malaysian hospitals. The results are useful for decision-makers as well as managers to recognize the potential role of telemedicine and assist in the process of implementation, adoption and utilization, and, therefore, spread the usage of telemedicine technology in more hospitals in the country.

The relationship of body mass index and blood pressure in Iranian children <7 years old.

The objective of this study was to evaluate the association between the body mass index (BMI), in healthy young children with their blood pressure (BP). The study included 3186 healthy children aged 1-6 years who were studied between March 2004 and March 2007 in different kindergartens and health centers in Tehran. Each child was classified on the basis of age- and sex-specific BMI percentile as normal weight (BMI <85th percentile), at risk for overweight (BMI >85th and <95th percentile), or overweight (BMI > or =95th percentile). Systolic BP (SBP) and diastolic BP (DBP) was compared among age-sex-BMI groups. Among children aged below 7 years in kindergartens and health centers in Tehran, 7.2% were at risk of overweight and 12.2% were overweight. These proportions were similar for boys and girls and were as follows: 6.9%, 13.9% and 7.5%, 10.5%, respectively. Analysis of variance showed that mean SBP significantly increased according to age (p < 0.0001) and BMI group (p = 0.001). Analysis of variance also showed that mean DBP significantly increased as age increased (p < 0.0001), but no significant difference was found between boys and girls in different age and BMI groups (p = 0.37). Our survey identified a high prevalence of overweight that was associated with elevated SBP among preschool-aged children in Iran. The effect of higher BMI on mean SBP is present in childhood and can be used as a predictor of high SBP even in children as young as 1-6 years.