World Journal of Science, Technology and Sustainable DevelopmentTable of Contents for World Journal of Science, Technology and Sustainable Development. List of articles from the current issue, including Just Accepted (EarlyCite)https://www.emerald.com/insight/publication/issn/2042-5945/vol/18/iss/4?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestWorld Journal of Science, Technology and Sustainable DevelopmentEmerald Publishing LimitedWorld Journal of Science, Technology and Sustainable DevelopmentWorld Journal of Science, Technology and Sustainable Developmenthttps://www.emerald.com/insight/proxy/containerImg?link=/resource/publication/journal/89000a70a1e63fd8784c9caf97a2ed1e/urn:emeraldgroup.com:asset:id:binary:wjstsd.cover.jpghttps://www.emerald.com/insight/publication/issn/2042-5945/vol/18/iss/4?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestA comparative discourse of sustainable finance options for agribusiness transformation in Nigeria and Brunei: implications for entrepreneurship and enterprise developmenthttps://www.emerald.com/insight/content/doi/10.1108/WJSTSD-05-2021-0051/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe growing adoption of sustainable finance for inclusive agribusiness requires a cross-country comparison. In this paper, a comparative discourse of sustainable finance (SF) options for agribusiness transformation in Nigeria and Brunei is attempted; as well as examining the implications on entrepreneurship and enterprise development in both countries. A mixed research method was adopted for this cross-country comparative analysis. To gain deeper insight into agribusiness and SF, the authors sourced the required data from scholarly articles, texts, World Bank data (2000–2016), national policy documents, working papers, national development plan reports, and other online resources on agribusiness and SF. The authors adopted mixed data (non-numeric and numeric data) because they allow for combining content analysis and secondary data in quantitative analysis (Williams and Shepherd, 2017). This mixed method approach follows a three-stage, namely: Data sourcing, Data development and conversion and Data analysis. This discourse based on the mixed data produced four findings. Firstly, it was found that both countries have different statuses in the agribusiness sector, but Brunei had better growth performance in the crop, food, livestock, cereal production indices compared to Nigeria. Secondly, the challenges facing agribusiness in both countries include inadequate funding, misuse/mismanagement of land resources, deployment of extractive farming practices, application of ozone-depleting chemicals and pesticides among others have harmed the vegetation, the farmland, and the chemistry of the ocean resulting in low productivity. Thirdly, the SF options that are suitable for agribusiness transformation are green loans, green bonds, green credit, green investment funds, green mortgage scheme and other green financial support instruments given mostly as grants, subsidies and tax reliefs. The key guidelines for entrepreneurs seeking SF options for agribusiness are Principles 2, 4, 5, 6, 8, 9 and 10 of the EPs. The main limitation of the study is that the analysis and interpretation of the findings are based on descriptive statistics. However, future research should consider using rigorous econometric tests such as the Co-Integration Test, Test of Causality and Inferential Statistics that would enhance stronger generalisation and prediction. The practical implication is that agribusiness transformation through sustainable finance options (SFOs) would bring about a structural change from the current subsistence agricultural practices to large-scale agriculture practices characterised by the deployment of agricultural information systems (AGRIS), precision agriculture and agricultural technologies. Flowing from the first implication, the nexus between agribusiness and SFOs will systematically improve agricultural productivity in the areas of crop production, fishing, livestock and forestry in both countries. Thirdly, an improved agribusiness would boost food production and availability thereby mitigating the rising trends in food insecurity, food inflation, food poverty, and ultimately will help actualize SDG 1(No poverty), SDG 2 (Zero Hunger), and SDG 3 (Good Health and Wellbeing). The authors contribute to the literature on SF and agribusiness in emerging economies by identifying an inclusive strategy that matters for agribusiness transformation in high-income and low-income economies.A comparative discourse of sustainable finance options for agribusiness transformation in Nigeria and Brunei: implications for entrepreneurship and enterprise development
Lukman Raimi, Rabiu Olowo, Morufu Shokunbi
World Journal of Science, Technology and Sustainable Development, Vol. 18, No. 4, pp.325-350

The growing adoption of sustainable finance for inclusive agribusiness requires a cross-country comparison. In this paper, a comparative discourse of sustainable finance (SF) options for agribusiness transformation in Nigeria and Brunei is attempted; as well as examining the implications on entrepreneurship and enterprise development in both countries.

A mixed research method was adopted for this cross-country comparative analysis. To gain deeper insight into agribusiness and SF, the authors sourced the required data from scholarly articles, texts, World Bank data (2000–2016), national policy documents, working papers, national development plan reports, and other online resources on agribusiness and SF. The authors adopted mixed data (non-numeric and numeric data) because they allow for combining content analysis and secondary data in quantitative analysis (Williams and Shepherd, 2017). This mixed method approach follows a three-stage, namely: Data sourcing, Data development and conversion and Data analysis.

This discourse based on the mixed data produced four findings. Firstly, it was found that both countries have different statuses in the agribusiness sector, but Brunei had better growth performance in the crop, food, livestock, cereal production indices compared to Nigeria. Secondly, the challenges facing agribusiness in both countries include inadequate funding, misuse/mismanagement of land resources, deployment of extractive farming practices, application of ozone-depleting chemicals and pesticides among others have harmed the vegetation, the farmland, and the chemistry of the ocean resulting in low productivity. Thirdly, the SF options that are suitable for agribusiness transformation are green loans, green bonds, green credit, green investment funds, green mortgage scheme and other green financial support instruments given mostly as grants, subsidies and tax reliefs. The key guidelines for entrepreneurs seeking SF options for agribusiness are Principles 2, 4, 5, 6, 8, 9 and 10 of the EPs.

The main limitation of the study is that the analysis and interpretation of the findings are based on descriptive statistics. However, future research should consider using rigorous econometric tests such as the Co-Integration Test, Test of Causality and Inferential Statistics that would enhance stronger generalisation and prediction.

The practical implication is that agribusiness transformation through sustainable finance options (SFOs) would bring about a structural change from the current subsistence agricultural practices to large-scale agriculture practices characterised by the deployment of agricultural information systems (AGRIS), precision agriculture and agricultural technologies. Flowing from the first implication, the nexus between agribusiness and SFOs will systematically improve agricultural productivity in the areas of crop production, fishing, livestock and forestry in both countries. Thirdly, an improved agribusiness would boost food production and availability thereby mitigating the rising trends in food insecurity, food inflation, food poverty, and ultimately will help actualize SDG 1(No poverty), SDG 2 (Zero Hunger), and SDG 3 (Good Health and Wellbeing).

The authors contribute to the literature on SF and agribusiness in emerging economies by identifying an inclusive strategy that matters for agribusiness transformation in high-income and low-income economies.

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A comparative discourse of sustainable finance options for agribusiness transformation in Nigeria and Brunei: implications for entrepreneurship and enterprise development10.1108/WJSTSD-05-2021-0051World Journal of Science, Technology and Sustainable Development2021-07-30© 2021 Emerald Publishing LimitedLukman RaimiRabiu OlowoMorufu ShokunbiWorld Journal of Science, Technology and Sustainable Development1842021-07-3010.1108/WJSTSD-05-2021-0051https://www.emerald.com/insight/content/doi/10.1108/WJSTSD-05-2021-0051/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2021 Emerald Publishing Limited
Modeling the decision-making process of financial path transition from entrepreneur's perspective using a fuzzy cognitive mappinghttps://www.emerald.com/insight/content/doi/10.1108/WJSTSD-04-2021-0046/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study explores how entrepreneurs modify their financial path(s) and go beyond job security to attain greater financial freedom. The present work examines the cash-flow quadrant (CFQ) attributes and demonstrates the importance of the push-pull factors for an individual's quadrant transition in achieving financial freedom. A hypothetical model and an abductive approach were used through regression models in a population sample of 260 Bahraini entrepreneurs. Fuzzy participatory cognitive mapping was also used to develop a conceptual model of financial path transition's decision making among entrepreneurs and study the impact of certain push-pull factors on the entrepreneurs' decisions. The triangulated study identifies six categories of variables: financial freedom, workplace condition, independence, salary level, family life-building and retirement savings as key pull-push factors that significantly impact financial path transition's decision. Fuzzy cognitive mapping (FCM) extends our knowledge of the dynamics of CFQ transitions from a push-pull factor perspective. The results indicate no significant differences between the variables listed in the regression model and the fuzzy cognitive map model. Four categories of pull-push factors appeared as the entrepreneurs' top rankings when ordered by complexity, centrality scores and impact weight. These categories were workplace conditions, financial freedom, independence and salary level. The findings widen the scope of knowledge of each quadrant and rationalize how and why such factors impact quadrant decisions among Bahraini entrepreneurs. Many studies discuss the CFQ model and consider its quadrants a specific method for identifying a unique financial path to generate income. A shifting quadrant occurs when individuals want to change their financial path and move beyond job security to achieve more financial freedom. Although this transition is well-established in the literature, the factors accounting for the individual's transition across quadrants have not received enough attention. This study fills this gap and calls for more in-depth investigations of this area to better understand the dynamics of CFQ transitions from a push-pull factor perspective.Modeling the decision-making process of financial path transition from entrepreneur's perspective using a fuzzy cognitive mapping
Anji Benhamed, Said EL Hajjar, Fatima Hamad Yaseen, Noamen Amara
World Journal of Science, Technology and Sustainable Development, Vol. 18, No. 4, pp.351-372

This study explores how entrepreneurs modify their financial path(s) and go beyond job security to attain greater financial freedom. The present work examines the cash-flow quadrant (CFQ) attributes and demonstrates the importance of the push-pull factors for an individual's quadrant transition in achieving financial freedom.

A hypothetical model and an abductive approach were used through regression models in a population sample of 260 Bahraini entrepreneurs. Fuzzy participatory cognitive mapping was also used to develop a conceptual model of financial path transition's decision making among entrepreneurs and study the impact of certain push-pull factors on the entrepreneurs' decisions.

The triangulated study identifies six categories of variables: financial freedom, workplace condition, independence, salary level, family life-building and retirement savings as key pull-push factors that significantly impact financial path transition's decision. Fuzzy cognitive mapping (FCM) extends our knowledge of the dynamics of CFQ transitions from a push-pull factor perspective. The results indicate no significant differences between the variables listed in the regression model and the fuzzy cognitive map model. Four categories of pull-push factors appeared as the entrepreneurs' top rankings when ordered by complexity, centrality scores and impact weight. These categories were workplace conditions, financial freedom, independence and salary level. The findings widen the scope of knowledge of each quadrant and rationalize how and why such factors impact quadrant decisions among Bahraini entrepreneurs.

Many studies discuss the CFQ model and consider its quadrants a specific method for identifying a unique financial path to generate income. A shifting quadrant occurs when individuals want to change their financial path and move beyond job security to achieve more financial freedom. Although this transition is well-established in the literature, the factors accounting for the individual's transition across quadrants have not received enough attention. This study fills this gap and calls for more in-depth investigations of this area to better understand the dynamics of CFQ transitions from a push-pull factor perspective.

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Modeling the decision-making process of financial path transition from entrepreneur's perspective using a fuzzy cognitive mapping10.1108/WJSTSD-04-2021-0046World Journal of Science, Technology and Sustainable Development2021-08-25© 2021 Emerald Publishing LimitedAnji BenhamedSaid EL HajjarFatima Hamad YaseenNoamen AmaraWorld Journal of Science, Technology and Sustainable Development1842021-08-2510.1108/WJSTSD-04-2021-0046https://www.emerald.com/insight/content/doi/10.1108/WJSTSD-04-2021-0046/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2021 Emerald Publishing Limited
Rural women entrepreneurship: a systematic literature review and beyondhttps://www.emerald.com/insight/content/doi/10.1108/WJSTSD-04-2021-0039/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestRural women entrepreneurship has been a domain attracting academicians and governments. This paper aims to to annotate existing literature in order to find a nexus between rural women and entrepreneurship using a systematic literature review and bibliometric analysis. Further, it has a certain scope and direction of existing research by critically analysing the work published in the domain of rural women entrepreneurship. Out of 213 documents, 192 were published during last 20 years till October 2020 in Scopus journals that were downloaded using the keywords “Women Entrepreneurship” OR “Female Entrepreneurs” OR “Women Entrepreneurs” OR “Female Entrepreneurship” AND rural were accepted for further processing. VOS-Viewer software has been used to present bibliometric analysis. A thematic analysis of top 10 papers and 26 open access papers has also been done. It was found that research interest in the said domain gained momentum in the last decade only. India is the top country that is publishing maximum papers; the United Kingdom has the maximum citations. The existing studies have focussed on factors influencing entrepreneurship, impact of gender and role of government schemes in fostering entrepreneurship. It is recommended that future studies may explore few inadequately explored grey areas including impact of entrepreneurial education, microcredit and information technology on rural women entrepreneurship. This literature review article contributes to the existing literature by identifying the scope and direction of the existing literature. Further, it helps in identifying the least explored areas that can be taken up for the conduct of future research.Rural women entrepreneurship: a systematic literature review and beyond
Monika Aggarwal, Ramanjit Kaur Johal
World Journal of Science, Technology and Sustainable Development, Vol. 18, No. 4, pp.373-392

Rural women entrepreneurship has been a domain attracting academicians and governments. This paper aims to to annotate existing literature in order to find a nexus between rural women and entrepreneurship using a systematic literature review and bibliometric analysis. Further, it has a certain scope and direction of existing research by critically analysing the work published in the domain of rural women entrepreneurship.

Out of 213 documents, 192 were published during last 20 years till October 2020 in Scopus journals that were downloaded using the keywords “Women Entrepreneurship” OR “Female Entrepreneurs” OR “Women Entrepreneurs” OR “Female Entrepreneurship” AND rural were accepted for further processing. VOS-Viewer software has been used to present bibliometric analysis. A thematic analysis of top 10 papers and 26 open access papers has also been done.

It was found that research interest in the said domain gained momentum in the last decade only. India is the top country that is publishing maximum papers; the United Kingdom has the maximum citations. The existing studies have focussed on factors influencing entrepreneurship, impact of gender and role of government schemes in fostering entrepreneurship. It is recommended that future studies may explore few inadequately explored grey areas including impact of entrepreneurial education, microcredit and information technology on rural women entrepreneurship.

This literature review article contributes to the existing literature by identifying the scope and direction of the existing literature. Further, it helps in identifying the least explored areas that can be taken up for the conduct of future research.

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Rural women entrepreneurship: a systematic literature review and beyond10.1108/WJSTSD-04-2021-0039World Journal of Science, Technology and Sustainable Development2021-07-29© 2021 Emerald Publishing LimitedMonika AggarwalRamanjit Kaur JohalWorld Journal of Science, Technology and Sustainable Development1842021-07-2910.1108/WJSTSD-04-2021-0039https://www.emerald.com/insight/content/doi/10.1108/WJSTSD-04-2021-0039/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2021 Emerald Publishing Limited
Determination of isolator damages in electric power transmission lines with continuous wavelet transform and multitape power spectrum densityhttps://www.emerald.com/insight/content/doi/10.1108/WJSTSD-05-2021-0059/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDetection of deformation of devices in high voltage electricity transmission line systems is an important issue in terms of economy and reuse. This study is aimed to detect devices that are deformed or thought to have suffered due to environmental and electrical reasons. In this experimental study, it was ensured that the sound and deformed insulators used in energy transmission lines were determined by the analysis of the sounds obtained by using the impact method. Equal intensity impact was applied to the isolator using the pendulum and the resulting sound noise signal analyses were made using power spectral density (PSD), magnitude scalogram (MS), multitape power spectrum density (MPSD) and continuous wavelet transform (CWT) methods in the study. In the analysis results, the isolators that are not visible to the eye and have certain damage were successfully separated from the intact insulators. Especially, MPSD and CWT analysis results are quite satisfactory. Damage analysis of insulators used in electricity transmission lines has been made. A total of 40 insulators were examined in two categories in their group, both damaged and not damaged. Data collection system was established. The data obtained from the data collection system were analysed and compared using four analysis methods. PSD, MS, MPSD and CWT analyses were made in the study. All the analyses carried out generally contain features that distinguish damaged and undamaged insulators from each other, the most successful results are MS and CWT results. CWT results are very successful in terms of time and amplitude, and it has been proposed as a method that can be used to separate damaged and undamaged insulators. It can be suggested as a result of experimental tests that the results of CWT analysis can be used in the pulse noise method in isolators to be tested for reuse in electrical power transmission lines.Determination of isolator damages in electric power transmission lines with continuous wavelet transform and multitape power spectrum density
Tahir Cetin Akinci
World Journal of Science, Technology and Sustainable Development, Vol. 18, No. 4, pp.393-404

Detection of deformation of devices in high voltage electricity transmission line systems is an important issue in terms of economy and reuse. This study is aimed to detect devices that are deformed or thought to have suffered due to environmental and electrical reasons.

In this experimental study, it was ensured that the sound and deformed insulators used in energy transmission lines were determined by the analysis of the sounds obtained by using the impact method. Equal intensity impact was applied to the isolator using the pendulum and the resulting sound noise signal analyses were made using power spectral density (PSD), magnitude scalogram (MS), multitape power spectrum density (MPSD) and continuous wavelet transform (CWT) methods in the study. In the analysis results, the isolators that are not visible to the eye and have certain damage were successfully separated from the intact insulators. Especially, MPSD and CWT analysis results are quite satisfactory.

Damage analysis of insulators used in electricity transmission lines has been made. A total of 40 insulators were examined in two categories in their group, both damaged and not damaged. Data collection system was established. The data obtained from the data collection system were analysed and compared using four analysis methods. PSD, MS, MPSD and CWT analyses were made in the study. All the analyses carried out generally contain features that distinguish damaged and undamaged insulators from each other, the most successful results are MS and CWT results. CWT results are very successful in terms of time and amplitude, and it has been proposed as a method that can be used to separate damaged and undamaged insulators.

It can be suggested as a result of experimental tests that the results of CWT analysis can be used in the pulse noise method in isolators to be tested for reuse in electrical power transmission lines.

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Determination of isolator damages in electric power transmission lines with continuous wavelet transform and multitape power spectrum density10.1108/WJSTSD-05-2021-0059World Journal of Science, Technology and Sustainable Development2021-07-28© 2021 Emerald Publishing LimitedTahir Cetin AkinciWorld Journal of Science, Technology and Sustainable Development1842021-07-2810.1108/WJSTSD-05-2021-0059https://www.emerald.com/insight/content/doi/10.1108/WJSTSD-05-2021-0059/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2021 Emerald Publishing Limited
Pathology of acceleration programs in corporate accelerators of Iranhttps://www.emerald.com/insight/content/doi/10.1108/WJSTSD-03-2021-0033/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThis study was designed to detect the failures in Iranian accelerators. This paper attempts to identify these effects from the perspective of accelerator managers and founders of startups. The main goals of this article are as follows: (1) What are the failures of Iran's acceleration programs from the perspective of accelerator managers? (2) What are the failures of Iran's acceleration programs from the perspective of startup teams? (3) What are some of failures of the acceleration programs that both groups agree on? It has been attempted to conduct semi-structured interviews with managers of corporate accelerators on the one hand and startups accelerated in these accelerators on the other. The interviewees were selected using snowball method and consisted of 9 accelerator managers out of 7 accelerators and 15 startups based on 5 accelerators. The analysis of the information extracted from the interviews and coding of the failure identified in the accelerators was performed using the thematic analysis method. In order to assess the validity of this study, an entrepreneurial doctoral student was asked to codify the interviews individually to compare the extracted codes. Finally, 34 problems have been identified that are divided into four main themes related to mentorship, acceleration program, acceleration structure and infrastructure and internal startup team problems. Overall, the greatest agreement among the failures identified as wrong orientation by untrained mentors, the lack of complementary in ability and skills of team members, the lack of knowledge of mentors, the lack of acceleration managers in entrepreneurship and the lack of a proper leader in startup teams. This study aimed to investigate the failures of corporate accelerators in Iran as a developing country, which is the first survey in Iran. We have many researches about the pathology and identify failures of accelerators, but in corporate accelerators, little research has been done. The authors have a classification of failures in corporate accelerators by using thematic analysis. In this study, accelerators' managers and founders of startups were interviewed and 34 failures were identified.Pathology of acceleration programs in corporate accelerators of Iran
Saeed Heshmati, Maysam Shafiee
World Journal of Science, Technology and Sustainable Development, Vol. 18, No. 4, pp.405-416

This study was designed to detect the failures in Iranian accelerators. This paper attempts to identify these effects from the perspective of accelerator managers and founders of startups. The main goals of this article are as follows: (1) What are the failures of Iran's acceleration programs from the perspective of accelerator managers? (2) What are the failures of Iran's acceleration programs from the perspective of startup teams? (3) What are some of failures of the acceleration programs that both groups agree on?

It has been attempted to conduct semi-structured interviews with managers of corporate accelerators on the one hand and startups accelerated in these accelerators on the other. The interviewees were selected using snowball method and consisted of 9 accelerator managers out of 7 accelerators and 15 startups based on 5 accelerators. The analysis of the information extracted from the interviews and coding of the failure identified in the accelerators was performed using the thematic analysis method. In order to assess the validity of this study, an entrepreneurial doctoral student was asked to codify the interviews individually to compare the extracted codes.

Finally, 34 problems have been identified that are divided into four main themes related to mentorship, acceleration program, acceleration structure and infrastructure and internal startup team problems. Overall, the greatest agreement among the failures identified as wrong orientation by untrained mentors, the lack of complementary in ability and skills of team members, the lack of knowledge of mentors, the lack of acceleration managers in entrepreneurship and the lack of a proper leader in startup teams.

This study aimed to investigate the failures of corporate accelerators in Iran as a developing country, which is the first survey in Iran. We have many researches about the pathology and identify failures of accelerators, but in corporate accelerators, little research has been done. The authors have a classification of failures in corporate accelerators by using thematic analysis. In this study, accelerators' managers and founders of startups were interviewed and 34 failures were identified.

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Pathology of acceleration programs in corporate accelerators of Iran10.1108/WJSTSD-03-2021-0033World Journal of Science, Technology and Sustainable Development2021-07-16© 2021 Emerald Publishing LimitedSaeed HeshmatiMaysam ShafieeWorld Journal of Science, Technology and Sustainable Development1842021-07-1610.1108/WJSTSD-03-2021-0033https://www.emerald.com/insight/content/doi/10.1108/WJSTSD-03-2021-0033/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2021 Emerald Publishing Limited
VIEWPOINThttps://www.emerald.com/insight/content/doi/10.1108/WJSTSD-12-2020-0100/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestVIEWPOINTVIEWPOINT
Javier Cifuentes-Faura
World Journal of Science, Technology and Sustainable Development, Vol. 18, No. 4, pp.417-421]]>
VIEWPOINT10.1108/WJSTSD-12-2020-0100World Journal of Science, Technology and Sustainable Development2021-04-07© 2020 Emerald Publishing LimitedJavier Cifuentes-FauraWorld Journal of Science, Technology and Sustainable Development1842021-04-0710.1108/WJSTSD-12-2020-0100https://www.emerald.com/insight/content/doi/10.1108/WJSTSD-12-2020-0100/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2020 Emerald Publishing Limited
Consumer social responsibility (CnSR): antecedents and tool validationhttps://www.emerald.com/insight/content/doi/10.1108/WJSTSD-01-2021-0012/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestGlobal warming and drastic environment fluctuations have given rise to worldwide emergency, demanding to discover the most unexplored area in the field of social responsibility that is, consumer social responsibility (CnSR). This study aims to define the novel term “CnSR” and its antecedents to accomplish long-term sustainability. An in-depth analysis is executed to discover key antecedents, and proposed tool validation is implemented with the help of the big size of consumer population. Primary data are collated using consumer responses, and reliability statistics were analyzed implementing Cronbach's alpha, and factor analysis is performed for required validation. Probing existing research, CnSR was mostly correlated with consumers’ ethical and moral behavior. The present work proposes a unique tool which has successfully revealed a broader approach resulting in four vital antecedents: environmental orientation (EO), ethical and moral disposition (EMD), spiritual orientation (SO) and orientation toward shared consumption (OSC). Cronbach's alpha is adopted to determine internal consistency of the survey and has showed precision of 0.953 which affirms accuracy of the proposed tool. Splitting of EO using factor analysis into environmental oriented preference (EOP) and recyclable oriented preference (ROP) has indicated further required inputs for better understanding. Sustainable issues were limited to corporates in the form of corporate social responsibility (CSR) activities. Present work demands consumer awareness about their consumption consequences and fix their responsibility to achieve long-term sustainability. The present study is the first to identify the antecedents of CnSR and effectively demonstrates a tool for the same.Consumer social responsibility (CnSR): antecedents and tool validation
Mamta Soni, Sunny Dawar, Amit Soni
World Journal of Science, Technology and Sustainable Development, Vol. 18, No. 4, pp.422-437

Global warming and drastic environment fluctuations have given rise to worldwide emergency, demanding to discover the most unexplored area in the field of social responsibility that is, consumer social responsibility (CnSR). This study aims to define the novel term “CnSR” and its antecedents to accomplish long-term sustainability. An in-depth analysis is executed to discover key antecedents, and proposed tool validation is implemented with the help of the big size of consumer population.

Primary data are collated using consumer responses, and reliability statistics were analyzed implementing Cronbach's alpha, and factor analysis is performed for required validation.

Probing existing research, CnSR was mostly correlated with consumers’ ethical and moral behavior. The present work proposes a unique tool which has successfully revealed a broader approach resulting in four vital antecedents: environmental orientation (EO), ethical and moral disposition (EMD), spiritual orientation (SO) and orientation toward shared consumption (OSC). Cronbach's alpha is adopted to determine internal consistency of the survey and has showed precision of 0.953 which affirms accuracy of the proposed tool.

Splitting of EO using factor analysis into environmental oriented preference (EOP) and recyclable oriented preference (ROP) has indicated further required inputs for better understanding.

Sustainable issues were limited to corporates in the form of corporate social responsibility (CSR) activities. Present work demands consumer awareness about their consumption consequences and fix their responsibility to achieve long-term sustainability.

The present study is the first to identify the antecedents of CnSR and effectively demonstrates a tool for the same.

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Consumer social responsibility (CnSR): antecedents and tool validation10.1108/WJSTSD-01-2021-0012World Journal of Science, Technology and Sustainable Development2021-07-06© 2021 Emerald Publishing LimitedMamta SoniSunny DawarAmit SoniWorld Journal of Science, Technology and Sustainable Development1842021-07-0610.1108/WJSTSD-01-2021-0012https://www.emerald.com/insight/content/doi/10.1108/WJSTSD-01-2021-0012/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2021 Emerald Publishing Limited
Adoption and compliance with Council for Scientific and Industrial Research recommended maize production practices in Ashanti region, Ghanahttps://www.emerald.com/insight/content/doi/10.1108/WJSTSD-03-2021-0035/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThere is a huge gap between actual and achievable yields of maize which threatens household food security in Ghana. Low adoption of improved maize production technologies coupled with poor compliance with Council for Scientific and Industrial Research (CSIR) recommended maize production practices is identified as the cause of low yields. This study assessed farmers' compliance with CSIR recommended production practices and its effects on yield. Using a structured questionnaire, a cross-sectional survey of 150 respondents were interviewed for the study. Descriptive statistics, awareness and compliance indices, probit model and Garret ranking technique were the methods of analysis employed in the study. The results showed that farmers are highly aware, have adopted and hardly comply with standards of applications of CSIR recommended production practices. Farm size, age, educational level and female gender significantly influenced compliance with recommended production practices. Also, compliance with recommended production practices increase maize yield. Policies aim at addressing yield gap in maize production should be targeted at improving farmers' level of compliance with production practices by addressing some constraints through farmer credit and subsidy programmes to help farmers increase their level of compliance. The fact that farmers have adopted recommended production practices does not necessarily mean they will have higher yields. The study generates important insights about how well farmers have been adhering to standards of adoption of recommended production practices.Adoption and compliance with Council for Scientific and Industrial Research recommended maize production practices in Ashanti region, Ghana
Camillus Abawiera Wongnaa, John-Eudes Andivi Bakang, Maxwell Asiamah, Patrick Appiah, Joshua Kani Asibey
World Journal of Science, Technology and Sustainable Development, Vol. 18, No. 4, pp.438-456

There is a huge gap between actual and achievable yields of maize which threatens household food security in Ghana. Low adoption of improved maize production technologies coupled with poor compliance with Council for Scientific and Industrial Research (CSIR) recommended maize production practices is identified as the cause of low yields. This study assessed farmers' compliance with CSIR recommended production practices and its effects on yield.

Using a structured questionnaire, a cross-sectional survey of 150 respondents were interviewed for the study. Descriptive statistics, awareness and compliance indices, probit model and Garret ranking technique were the methods of analysis employed in the study.

The results showed that farmers are highly aware, have adopted and hardly comply with standards of applications of CSIR recommended production practices. Farm size, age, educational level and female gender significantly influenced compliance with recommended production practices. Also, compliance with recommended production practices increase maize yield.

Policies aim at addressing yield gap in maize production should be targeted at improving farmers' level of compliance with production practices by addressing some constraints through farmer credit and subsidy programmes to help farmers increase their level of compliance. The fact that farmers have adopted recommended production practices does not necessarily mean they will have higher yields. The study generates important insights about how well farmers have been adhering to standards of adoption of recommended production practices.

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Adoption and compliance with Council for Scientific and Industrial Research recommended maize production practices in Ashanti region, Ghana10.1108/WJSTSD-03-2021-0035World Journal of Science, Technology and Sustainable Development2021-07-09© 2021 Emerald Publishing LimitedCamillus Abawiera WongnaaJohn-Eudes Andivi BakangMaxwell AsiamahPatrick AppiahJoshua Kani AsibeyWorld Journal of Science, Technology and Sustainable Development1842021-07-0910.1108/WJSTSD-03-2021-0035https://www.emerald.com/insight/content/doi/10.1108/WJSTSD-03-2021-0035/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2021 Emerald Publishing Limited
Adoption of solar energy in India: a study through interpretive structural modellinghttps://www.emerald.com/insight/content/doi/10.1108/WJSTSD-04-2021-0043/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAdoption of solar energy plays an important role in the growth of a country. There are many factors which influence the adoption of solar energy in India. The study is designed to identify factors that determine the acceptance or rejection of solar energy systems in India. Relationship among identified variables is established through interpretive structural modelling (ISM) and thus a conceptually validated model is evolved. Further, MICMAC analysis is conducted to understand the driving power and dependence of these variables. It is revealed that experience and habit, awareness and social influence are the intermediary variables. MICMAC Analysis shows that no variable is disconnected from the system and all the variables influence the adoption of solar energy in India. The present study is expected to be useful to decision makers, end users and research organisations related to solar energy adoption. Various intentional factors influencing solar energy systems adoption have been acknowledged in the present study, thus making it useful for formulation of action plans and enhance the usage of solar energy systems to improve environment quality.Adoption of solar energy in India: a study through interpretive structural modelling
Ganesh P. Sahu, Pragati Singh, Prabhudatt Dwivedi
World Journal of Science, Technology and Sustainable Development, Vol. 18, No. 4, pp.457-473

Adoption of solar energy plays an important role in the growth of a country. There are many factors which influence the adoption of solar energy in India. The study is designed to identify factors that determine the acceptance or rejection of solar energy systems in India.

Relationship among identified variables is established through interpretive structural modelling (ISM) and thus a conceptually validated model is evolved. Further, MICMAC analysis is conducted to understand the driving power and dependence of these variables.

It is revealed that experience and habit, awareness and social influence are the intermediary variables. MICMAC Analysis shows that no variable is disconnected from the system and all the variables influence the adoption of solar energy in India.

The present study is expected to be useful to decision makers, end users and research organisations related to solar energy adoption.

Various intentional factors influencing solar energy systems adoption have been acknowledged in the present study, thus making it useful for formulation of action plans and enhance the usage of solar energy systems to improve environment quality.

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Adoption of solar energy in India: a study through interpretive structural modelling10.1108/WJSTSD-04-2021-0043World Journal of Science, Technology and Sustainable Development2021-07-13© 2021 Emerald Publishing LimitedGanesh P. SahuPragati SinghPrabhudatt DwivediWorld Journal of Science, Technology and Sustainable Development1842021-07-1310.1108/WJSTSD-04-2021-0043https://www.emerald.com/insight/content/doi/10.1108/WJSTSD-04-2021-0043/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2021 Emerald Publishing Limited
Food security in Sudan: the case of Kassala statehttps://www.emerald.com/insight/content/doi/10.1108/WJSTSD-10-2020-0083/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestDifferent from the previous studies in the Sudanese literature, this study aims to examine the incidence and of food security, the variation in households' food insecurity between localities and the adaptation and survival strategy in Kassala State as a case study of Eastern Sudan. This paper uses the measurement of Household Food Insecurity Access Scale (HFIAS) and uses new primary data from a Food Security Household Survey in Kassala State (2019) and uses the descriptive analysis to discuss the measurement of HFIAS, the incidence of food security, the variation in households' food insecurity between localities and the adaptation and survival strategy in Kassala State. The authors find that the majority of household (77%) are food-insecure of various degrees, with 32.9% being severely food-insecure, while some households are food-secure (23%). The authors find support for their hypothesis that there will be variation in households' food insecurity between localities that most probably relate to variation in the distribution of monthly income between localities. In particular, the authors find that most households in rural areas are severely food-insecure. This paper provides a significant contribution to the Sudanese and international literature because it discusses the incidence of food insecurity in Sudan. Different from the two other accompanying papers that focused on the determinants of food security in Kassala State using the measurement of HFIAS and determinants of production of food and consumption of food in Kassala State, this paper focuses on the incidence of food security in Kassala State using the measurement of HFIAS.Food security in Sudan: the case of Kassala state
Samia Satti Osman Mohamed Nour, Eltayeb Mohamedain Abdalla
World Journal of Science, Technology and Sustainable Development, Vol. 18, No. 4, pp.474-493

Different from the previous studies in the Sudanese literature, this study aims to examine the incidence and of food security, the variation in households' food insecurity between localities and the adaptation and survival strategy in Kassala State as a case study of Eastern Sudan.

This paper uses the measurement of Household Food Insecurity Access Scale (HFIAS) and uses new primary data from a Food Security Household Survey in Kassala State (2019) and uses the descriptive analysis to discuss the measurement of HFIAS, the incidence of food security, the variation in households' food insecurity between localities and the adaptation and survival strategy in Kassala State.

The authors find that the majority of household (77%) are food-insecure of various degrees, with 32.9% being severely food-insecure, while some households are food-secure (23%). The authors find support for their hypothesis that there will be variation in households' food insecurity between localities that most probably relate to variation in the distribution of monthly income between localities. In particular, the authors find that most households in rural areas are severely food-insecure.

This paper provides a significant contribution to the Sudanese and international literature because it discusses the incidence of food insecurity in Sudan. Different from the two other accompanying papers that focused on the determinants of food security in Kassala State using the measurement of HFIAS and determinants of production of food and consumption of food in Kassala State, this paper focuses on the incidence of food security in Kassala State using the measurement of HFIAS.

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Food security in Sudan: the case of Kassala state10.1108/WJSTSD-10-2020-0083World Journal of Science, Technology and Sustainable Development2021-04-29© 2021 Emerald Publishing LimitedSamia Satti Osman Mohamed NourEltayeb Mohamedain AbdallaWorld Journal of Science, Technology and Sustainable Development1842021-04-2910.1108/WJSTSD-10-2020-0083https://www.emerald.com/insight/content/doi/10.1108/WJSTSD-10-2020-0083/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2021 Emerald Publishing Limited
Prospects, determinants and profitability of aquaculture insurance among fish farmers in the Eastern Region of Ghanahttps://www.emerald.com/insight/content/doi/10.1108/WJSTSD-02-2021-0018/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestAquaculture insurance has the potential of redressing climate-change because it serves as an alternative source of finance in the event of unforeseen circumstances. To this end, the authors examine the prospects, determinants and profitability of aquaculture insurance among fish farmers in the Eastern region of Ghana. A total of 140 fish farmers were sampled for the study. Thematic analysis was used to determine perceived aquaculture insurance prospects. The Heckman's two-stage model, profitability index (PI) and return on investment (ROI) was employed to respectively determine the factors influencing aquaculture insurance participation and amount intensity and the profitability of aquaculture. The thematic analysis revealed three themes on the perception of aquaculture insurance prospects: loss recovery, farm renovation and promotes agriculture. Different sets of demographic and institutional factors have varying influences on aquaculture insurance participation and amount intensity. Profitability index (PI) and return on investment (ROI) were respectively 2.07 and 3.2%. The research provides relevant information on perceived aquaculture insurance prospects, aquaculture insurance participation, and amount intensity and profitability of aquaculture which can contribute to enhancing aquaculture insurance and the aquaculture industry in Ghana.Prospects, determinants and profitability of aquaculture insurance among fish farmers in the Eastern Region of Ghana
Nicholas Oppong Mensah, Ernest Christlieb Amrago, Emmanuel T.D. Mensah, Jeffery Kofi Asare, Samuel Afotey Anang
World Journal of Science, Technology and Sustainable Development, Vol. 18, No. 4, pp.494-512

Aquaculture insurance has the potential of redressing climate-change because it serves as an alternative source of finance in the event of unforeseen circumstances. To this end, the authors examine the prospects, determinants and profitability of aquaculture insurance among fish farmers in the Eastern region of Ghana.

A total of 140 fish farmers were sampled for the study. Thematic analysis was used to determine perceived aquaculture insurance prospects. The Heckman's two-stage model, profitability index (PI) and return on investment (ROI) was employed to respectively determine the factors influencing aquaculture insurance participation and amount intensity and the profitability of aquaculture.

The thematic analysis revealed three themes on the perception of aquaculture insurance prospects: loss recovery, farm renovation and promotes agriculture. Different sets of demographic and institutional factors have varying influences on aquaculture insurance participation and amount intensity. Profitability index (PI) and return on investment (ROI) were respectively 2.07 and 3.2%.

The research provides relevant information on perceived aquaculture insurance prospects, aquaculture insurance participation, and amount intensity and profitability of aquaculture which can contribute to enhancing aquaculture insurance and the aquaculture industry in Ghana.

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Prospects, determinants and profitability of aquaculture insurance among fish farmers in the Eastern Region of Ghana10.1108/WJSTSD-02-2021-0018World Journal of Science, Technology and Sustainable Development2021-04-29© 2021 Emerald Publishing LimitedNicholas Oppong MensahErnest Christlieb AmragoEmmanuel T.D. MensahJeffery Kofi AsareSamuel Afotey AnangWorld Journal of Science, Technology and Sustainable Development1842021-04-2910.1108/WJSTSD-02-2021-0018https://www.emerald.com/insight/content/doi/10.1108/WJSTSD-02-2021-0018/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2021 Emerald Publishing Limited
Global and local sensitivity analysis of the Emission Dispersion Model input parametershttps://www.emerald.com/insight/content/doi/10.1108/WJSTSD-12-2020-0102/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatestThe objectives of this paper are the application of sensitivity analysis (SA) methods in atmospheric dispersion modeling to the emission dispersion model (EDM) to study the prediction of atmospheric dispersion of NO2 generated by an industrial fire, whose results are useful for fire safety applications. The EDM is used to predict the level concentration of nitrogen dioxide (NO2) emitted by an industrial fire in a plant located in an industrial region site in Algeria. The SA was defined for the following input parameters: wind speed, NO2 emission rate and viscosity and diffusivity coefficients by simulating the air quality impacts of fire on an industrial area. Two SA methods are used: a local SA by using a one at a time technique and a global SA, for which correlation analysis was conducted on the EDM using the standardized regression coefficient. The study demonstrates that, under ordinary weather conditions and for the fields near to the fire, the NO2 initial concentration has the most influence on the predicted NO2 levels than any other model input. Whereas, for the far field, the initial concentration and the wind speed have the most impact on the NO2 concentration estimation. The study shows that an effective decision-making process should not be only based on the mean values, but it should, in particular, consider the upper bound plume concentration.Global and local sensitivity analysis of the Emission Dispersion Model input parameters
Samia Chettouh
World Journal of Science, Technology and Sustainable Development, Vol. 18, No. 4, pp.513-532

The objectives of this paper are the application of sensitivity analysis (SA) methods in atmospheric dispersion modeling to the emission dispersion model (EDM) to study the prediction of atmospheric dispersion of NO2 generated by an industrial fire, whose results are useful for fire safety applications. The EDM is used to predict the level concentration of nitrogen dioxide (NO2) emitted by an industrial fire in a plant located in an industrial region site in Algeria.

The SA was defined for the following input parameters: wind speed, NO2 emission rate and viscosity and diffusivity coefficients by simulating the air quality impacts of fire on an industrial area. Two SA methods are used: a local SA by using a one at a time technique and a global SA, for which correlation analysis was conducted on the EDM using the standardized regression coefficient.

The study demonstrates that, under ordinary weather conditions and for the fields near to the fire, the NO2 initial concentration has the most influence on the predicted NO2 levels than any other model input. Whereas, for the far field, the initial concentration and the wind speed have the most impact on the NO2 concentration estimation.

The study shows that an effective decision-making process should not be only based on the mean values, but it should, in particular, consider the upper bound plume concentration.

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Global and local sensitivity analysis of the Emission Dispersion Model input parameters10.1108/WJSTSD-12-2020-0102World Journal of Science, Technology and Sustainable Development2021-05-20© 2021 Emerald Publishing LimitedSamia ChettouhWorld Journal of Science, Technology and Sustainable Development1842021-05-2010.1108/WJSTSD-12-2020-0102https://www.emerald.com/insight/content/doi/10.1108/WJSTSD-12-2020-0102/full/html?utm_source=rss&utm_medium=feed&utm_campaign=rss_journalLatest© 2021 Emerald Publishing Limited