Pricing dynamics and volatility are accelerating the adoption of global cryptocurrency.Despite challenges,cryptocurrencies such as Bitcoin are gaining widespread acceptance,particularly in countries with unbanked popu...Pricing dynamics and volatility are accelerating the adoption of global cryptocurrency.Despite challenges,cryptocurrencies such as Bitcoin are gaining widespread acceptance,particularly in countries with unbanked populations,the lack of bank controls,and inflation.This study investigates the global patterns of cryptocurrency adoption using Generalized Linear Models and Spatial Autoregressive Models.This research introduces a novel perspective on global cryptocurrency adoption using spatial models.Our findings reveal that cryptocurrency adoption is significantly influenced by economic instability,infrastructure availability,and spatial dynamics,with higher adoption rates in countries with limited access to traditional financial systems.展开更多
Background:The rapid development of the blockchain technology and its various applications has rendered it important to understand the guidelines for adopting it.Methods:The comparative analysis method is used to anal...Background:The rapid development of the blockchain technology and its various applications has rendered it important to understand the guidelines for adopting it.Methods:The comparative analysis method is used to analyze different dimensions of the maturity model,which is mainly based on the commonly used capability maturity model.Results:The blockchain maturity model and its adoption process have been discussed and presented.Conclusions:This study serves as a guide to institutions to make blockchain adoption decisions more systematically.展开更多
Purpose:This paper aims to examine how the adoption decision of the internet banking in North Cyprus would be affected based on the following dimensions;the technology features,the personal characteristics,the social ...Purpose:This paper aims to examine how the adoption decision of the internet banking in North Cyprus would be affected based on the following dimensions;the technology features,the personal characteristics,the social environment and the expected risk.Design/methodology/approach:A self-administered survey was conducted with 291 participants responded to it.The partial least square approach of the structural equation modeling(PLS-SEM)is employed to investigate the direct effects of the proposed factors on the adoption decision.Additionally,the mediation test is used to examine indirect effects.Findings:Results showed that even though the participants appreciated the benefits of the online banking as the perceived usefulness factor exerts the greatest direct effect,they would rather use clear and easy-to-use websites,adding to that their assessments of the usefulness of these services are significantly influenced by the surrounding people’s views and prior experience.This is demonstrated by the total effects of the perceived ease of use and the subjective norm factors,which are greater than the direct effect of the perceived usefulness factor since both of these factors have significant direct and indirect effects mediated by the perceived usefulness factor.The negative impact of the perceived risk factor is weak compared to the previous factors.While the personal innovativeness factor showed the weakest effect among the proposed factors.展开更多
Introduction: Today, information technology is considered as an important national development principle in each country which is applied in different fields. Health care as a whole and the hospitals could be regarded...Introduction: Today, information technology is considered as an important national development principle in each country which is applied in different fields. Health care as a whole and the hospitals could be regarded as a field and organizations with most remarkable IT applications respectively. Although different benchmarks and frameworks have been developed to assess different aspects of Hospital Information Systems (HISs) by various researchers, there is not any suitable reference model yet to benchmark HIS in the world. Electronic Medical Record Adoption Model (EMRAM) has been currently presented and is globally well-known to benchmark the rate of HIS utilization in the hospitals. Notwithstanding, this model has not been introduced in Iran so far. Methods: This research was carried out based on an applied descriptive method in three private hospitals of Isfahan—one of the most important provinces of Iran—in the year 2015. The purpose of this study was to investigate IT utilization stage in three selected private hospitals. Conclusion: The findings revealed that HIS is not at the center of concern in studied hospitals and is in the first maturity stage in accordance with EMRAM. However, hospital managers are enforced and under the pressure of different beneficiaries including insurance companies to improve their HIS. Therefore, it could be concluded that these types of hospitals are still far away from desirable conditions and need to enhance their IT utilization stage significantly.展开更多
The construction industry needs modern construction methodology and technology to improve sustainability and production performance.Building Information Modelling(BIM)technology supports improving the quality of produ...The construction industry needs modern construction methodology and technology to improve sustainability and production performance.Building Information Modelling(BIM)technology supports improving the quality of products by reducing design and construction defects,risks to the health and safety of workers,and reduce overall project cost and delivery time.The BIM has capabilities,but it is still undiscovered and unable to exploit the full scale of its benefits in the Architectural Engineering and Construction(AEC)industry.There is a trend to adopt the BIM level 1,which is limited to 2D and only in a few cases 3D models uses in the design and construction of residential and commercial buildings,particularly in Nepal.Hence,this paper focuses on providing insight into the BIM benefits and identifies the potential barriers while adopting BIM Level 3 in Nepal.This was accomplished by developing a 4DBIM model of a multi-story residential building in Nepal and conducting the industry survey via focus group with the AEC professionals based on the developed 4DBIM model.A comprehensive literature review was conducted and presented the findings of the BIM benefits and barriers while adopting BIM.The study found that commercial and governmental projects can immediately be adopted BIM technology.It is concluded that the unavailability of skilled BIM users and the lack of proper policies for BIM adoption are key barriers in Nepal.Hence,the new policy is required to achieve and exploit the full scale of the BIM benefits and improve the project delivery in terms of quality,cost and time including the health and safety of workers and the sustainability of the AEC industry.展开更多
Blockchain technology holds significant promise for driving innovations across diverse industries, businesses, and applications. Recognized as a crucial source of competitive advantage in a fast-evolving environment, ...Blockchain technology holds significant promise for driving innovations across diverse industries, businesses, and applications. Recognized as a crucial source of competitive advantage in a fast-evolving environment, blockchain is anticipated to contribute substantially to sustainable economic and social development. Despite these high expectations, many blockchain projects currently face high failure rates, leading to negative impacts on various aspects of economic and social sustainability, including corporate governance, risk management, financial management, human resources, culture management, and competitiveness. This paper evaluates adoption models, identifying both risk and success factors. It introduces an integrated adoption model designed to operationalize, measure, and manage blockchain-driven business innovation sustainably. An empirical study involving 20 industry sectors and 125 business leaders was conducted to assess the model’s applicability. The findings indicate that the adoption model has the potential to support the sustainable implementation of blockchain technology for business innovations across various industries and applications. Future research and industry activities should continue validating this model through further case studies.展开更多
The construction sector is in need of further self-development due to recent innovations in technology.This is because the environmental problems which have been handled seriously all over the world in recent years,an...The construction sector is in need of further self-development due to recent innovations in technology.This is because the environmental problems which have been handled seriously all over the world in recent years,and studies related to the way of creating requirements and measures for healthy construction environments have been emphasized.For adoption of new technological construction products in that sector;a system which will encompass designers,contractors and users is required.For selection and widespread use of new technological products,the decision-making is not only sufficient but also cultural and socio-economic factors and conditions are gaining in importance.For the implementation and control of the new construction product assigned,a process of testing is required.The process of testing should be structured by allowing the use of new technological products in a system of continuous self-improvement by preventing the usage without change for a substantial amount of time.All of these processes have been examined within the scope of the doctoral thesis in model,which was developed for the adoption of technological innovation.In this study,the aim is to contribute to the creation of an appropriate adoption roadmap for constant self-renewal and self-improvement of construction environments,which are sensitive to the environment.展开更多
The use of improved high yielding crop varieties is an important avenue for reducing hunger and food insecurity in developing countries. Using cross-sectional data obtained from a survey conducted during 2013 crop sea...The use of improved high yielding crop varieties is an important avenue for reducing hunger and food insecurity in developing countries. Using cross-sectional data obtained from a survey conducted during 2013 crop season, we performed a probit model （plot-level analysis） to determine the probability of adopting new improved rice varieties （NIRVs） by smallholder farmers particularly from two main agro-ecological regions （hills and tropical plain terai regions） of Central Nepal. The results revealed that education, extension services and seed access play significant roles in adoption decisions. Additionally, farm and field characteristic variables such as farm size, endowment of favorable land type （e.g. lowlands）, and animal power （e.g. oxen） are the key factors influencing the probability of adopting NIRVs. The results showed that technology specific variables （e.g. yield potential and acceptability） are significant for explaining adoption behavior, implying that it is important to take farmers＇ preferences to varietal characteristics into consideration in the design of a research and development program. Given the significant role played by extension and access related variables, increased emphasis on information dissemination, field demonstration, and farmers＇ participatory research and training programs to popularize new rice varieties and enhance their adoption rate are required. This also suggests that policy intervention should be made on improving the educational status of farming households, and developing programs on varietal package of rice seed which offer farmers a variety of choices among the appropriate pools of germplasm. Such programs ultimately help farmers develop more profit-oriented behavior which are necessary to enhance adoption rate, production and food security in the long run.展开更多
The factors affecting the adoption of modern varieties(MVs) of rice and impact on poverty in Odisha, India were discussed. A total of 363 households from Cuttack and Sambalpur districts of Odisha via multistage sampli...The factors affecting the adoption of modern varieties(MVs) of rice and impact on poverty in Odisha, India were discussed. A total of 363 households from Cuttack and Sambalpur districts of Odisha via multistage sampling technique participated in the survey. The Cragg's Double hurdle model was used to model the determinants of adoption and intensity of adoption of MVs of rice, and the propensity score matching was used to analyze the impact of adoption on poverty. The results showed that age, education, risk aversion, land size, yield, perception of MVs as high yielding, resistant to diseases and availability of MVs positively influenced the decision to adopt. However, variables such as household size, experience of a farmer, off-farm job participation, amount of credit received, cost of seeds, insecticides and fertilizers negatively influenced the adoption of MVs. Intensity of adoption of MVs was negatively influenced by experience of a farmer, cost of fertilizer and marketability of MVs, and positively affected by household size, risk aversion, land size, cost of insecticides, perception of MVs as high yielding and availability of MV seeds. Poverty incidence, gap and severity were high among non-adopters to adopters of MVs. After matching adopters and non-adopters of MV groups using four different algorithms of nearest neighbour matching, stratification matching, radius matching and kernel matching, the impact of MV adoption resulted in higher per capita monthly household expenditure by about US$ 52.82 to US$ 63.17.展开更多
This study examines the impact of farmers’cooperatives participation and technology adoption on their economic welfare in China.A double selectivity model(DSM)is applied to correct for sample selection bias stemming ...This study examines the impact of farmers’cooperatives participation and technology adoption on their economic welfare in China.A double selectivity model(DSM)is applied to correct for sample selection bias stemming from both observed and unobserved factors,and a propensity score matching(PSM)method is applied to calculate the agricultural income difference with counter factual analysis using survey data from 396 farmers in 15 provinces in China.The findings indicate that farmers who join farmer cooperatives and adopt agricultural technology can increase agricultural income by 2.77 and 2.35%,respectively,compared with those non-participants and non-adopters.Interestingly,the effect on agricultural income is found to be more significant for the low-income farmers than the high-income ones,with income increasing 5.45 and 4.51%when participating in farmer cooperatives and adopting agricultural technology,respectively.Our findings highlight the positive role of farmer cooperatives and agricultural technology in promoting farmers’economic welfare.Based on the findings,government policy implications are also discussed.展开更多
Past studies on the adoption of integrated pest management (IPM), analyzed the significance of non-spatial factors (social, economic, institutional and management factors etc.) in influencing farmers’ decision to ado...Past studies on the adoption of integrated pest management (IPM), analyzed the significance of non-spatial factors (social, economic, institutional and management factors etc.) in influencing farmers’ decision to adopt IPM while the present study analyzed spatial factors in addition to these non-spatial factors to address the questions-i. Do the spatial factors significantly influence the farmers to adopt IPM? If yes, then to what extent they do affect IPM adoption? The data were collected from 331 vegetable farmers of Narsingdi district, Bangladesh, by conducting a household survey. Farmers’ nineteen characteristics under five broad groups, namely social, economic, institutional, management and spatial factors were analyzed. The result of the binary logistic regression model revealed that two spatial factors namely the distance of farmers’ house from the nearest market and the distance from agriculture office, along with some specific social, economic, institutional and management factors, significantly influenced the farmers’ to use IPM. It is also observed from the model that the role of spatial factors was important in influencing IPM adoption. However, with regard to the level of importance, their contribution was less than those of economic and institutional factors but more than those of social and management factors. The influences of these factors in practicing IPM are discussed individually as well as group based. The findings show significance in domestic policy making.展开更多
This paper estimates the perceptions, determinants and barriers regarding the adoption of climate change adaptation options among Nepalese rice farmers. A multi-stage sampling technique was used to source respondents ...This paper estimates the perceptions, determinants and barriers regarding the adoption of climate change adaptation options among Nepalese rice farmers. A multi-stage sampling technique was used to source respondents for the study, and structured questionnaire techniques were used to collect data from 773 households across seven districts (3 from Terai and 4 from the hilly region of Nepal). A binomial logistic regression model was used to detangle the determinants for the adoption of climate change adaptation options among farmers. The results revealed that approximately 80.7% of the farmers perceived change in temperature, and 90% believed that there was a decrease in rainfall in the 30-year period. In total, 77% of farming households responded that rice production and yield has decreased due to such changes, which has forced them to adopt available adaptation options. This study found that 12 adaptation options have been mainly used by rice farmers, and among them, there has been an increasing use of chemical fertilizer, climate-smart rice verities, and changes in nursery date, which are the first three adoption options. Overall, 71% of farmers adopt such adaptation options to protect themselves from perceived risk. However, farmers are facing several barriers, such as capital inadequacy, high cost of agricultural inputs, poor adaptation information provided to farmers, inadequate access to credit facilities and inadequate awareness about adaptation regarding the adoption of such options. Binomial regression results revealed that several factors influence a farmer’s choice in adaptation measures. Our findings suggest the need for greater investment to remove these barriers and institutional shortcomings and help to improve a rice farmer’s wellbeing.展开更多
Arsi zone is one of the Oromia regional state’s zones with high potential of honey and bees wax production and where there was dissemination of modern beehives. This research was initiated with objectives of quantify...Arsi zone is one of the Oromia regional state’s zones with high potential of honey and bees wax production and where there was dissemination of modern beehives. This research was initiated with objectives of quantifying adoption rate of modern beehives and its determinant factors and drawing policy implication for further extension of the technology. The study was conducted in seven districts of Arsi zone and 251 rural beekeepers were interviewed. The average productivity of the modern beehives and local beehives was found to be 19.77 kg/hive and 5.13 kg/hive. The total number of local bee hives possessed by interviewed beekeepers was found to be 1201 while that of modern beehives was found to be 279 hives which shows that the adoption rate is low and if we increase the adoption rate by 50%, the amount of honey harvest will increases by 11,862 kg which is about 5700 kg more than the total honey beekeepers can get from keeping the whole 1201 local hives. Chemical application (herbicides and pesticides), bee predators, lack of knowledge and skill on modern beehives, lack of modern beehive accessories, lack of bee forage and lack of capital were major beekeeping bottlenecks. The result of binary Logit model revealed that the main determinants of adoption are farmyard size, number of local hives beekeepers possessed, training provided, participation on demonstration, wealth status of beekeepers, and participation of beekeepers on nonfarm income sources. Provision of different information towards increasing or improving the saving capacity or culture of beekeepers, provision of adequate and relevant agricultural extension services (such as training on modern beekeeping technologies and experience sharing among beekeepers), provision of credit services to widen the financial bases of poor beekeepers and facilitating access to modern beehives and its accessories especially honey extractor and wax stumper which can increase beehives productivity were the recommendation that was drawn from the output of this research.展开更多
Adoption of new agricultural variety is an important way to improve the efficiency of agricultural production and farmer's income.According to survey data on the 279 farmers in Huaxia,Henan Province,this paper mad...Adoption of new agricultural variety is an important way to improve the efficiency of agricultural production and farmer's income.According to survey data on the 279 farmers in Huaxia,Henan Province,this paper made an empirical analysis on influencing factors of the farmer's adoption behavior for new maize variety by using the binary Logistic model. The results showed that farmer's educational level,whether or not demonstration family,the main source of household income,the maize planting area,farmer's awareness of new variety,farmer's risk attitude as well as the times to contract with agricultural inspector all had significantly positive effects on adoption of new maize variety. Whether or not the family had cadres had significantly negative effect on the adoption of new maize variety.展开更多
This paper analyzes the adoption dynamics of improved rainfed maize seeds disseminated in Senegal in 2013 by the West African Agricultural Productivity Program (WAAPP). We group maize producers into five groups (non-a...This paper analyzes the adoption dynamics of improved rainfed maize seeds disseminated in Senegal in 2013 by the West African Agricultural Productivity Program (WAAPP). We group maize producers into five groups (non-adopters, laggards/abandoners, late adopters, followers and pioneers/innovators) and take into account the heterogeneity of unobservable characteristics of the producers. In the pioneers/innovators group, the availability of labour, household size, shocks, and frequency of access to advice positively influence adoption, whereas financial constraints and high numbers of plots reduce the probability of adoption. Producers in the followers’ category tend to be older and more educated than those in the other categories. However, food insecurity and shocks such as diseases hamper adoption. For the group of late adopters, household size and available storage infrastructures explain adoption. However, the number of plots and shocks reduces their probability of adoption. Laggards tend to face shocks and food insecurity. The authors recommend to consider the dynamics of the adoption of technological innovations and heterogeneity of the characteristics of adopters groups in future research. They also recommend farmers to increase their adoption rate of the “Early Thai” and “Suwan 1” seed varieties thanks to their higher yields compared to traditional varieties. Also, a higher adoption rate would positively impact the food security of maize farmers in Eastern Senegal and High Casamance, especially in terms of availability. Other studies measuring the number of years needed for large-scale adoption of improved seed varieties should be conducted.展开更多
In the COVID-19 pandemic situation,the need to adopt cloud computing(CC)applications by education institutions,in general,and higher education(HE)institutions,in particular,has especially increased to engage students ...In the COVID-19 pandemic situation,the need to adopt cloud computing(CC)applications by education institutions,in general,and higher education(HE)institutions,in particular,has especially increased to engage students in an online mode and remotely carrying out research.The adoption of CC across various sectors,including HE,has been picking momentum in the developing countries in the last few years.In the Indian context,the CC adaptation in the HE sector(HES)remains a less thoroughly explored sector,and no comprehensive study is reported in the literature.Therefore,the aim of the present study is to overcome this research vacuum and examine the factors that impact the CC adoption(CCA)by HE institutions(HEIs)in India.The scope of the study is limited to public universities(PUs)in India.There are,in total,465 Indian PUs and among these 304 PUs,(i.e.,65%PUs)are surveyed using questionnaire-based research.The study has put forth a novel integrated technology adoption framework consisting of the Technology Acceptance Model(TAM),Technology-Organization-Environment(TOE),and Diffusion of Innovation(DOI)in the context of the HES.This integrated TAM-TOE-DOI framework is utilized in the study to analyze eleven hypotheses concerning factors of CCA that have been tested using structural equation modelling(SEM)and confirmatory factor analysis(CFA).The findings reveal that competitive advantage(CA),technology compatibility(TC),technology readiness(TR),senior leadership support,security concerns,government support,and vendor support are the significant contributing factors of CCA by Indian PUs.The study contends that whereas the rest of the factors positively affect the PUs’intention towards CCA,security concerns are a significant reason for the reluctance of these universities against adopting CC.The findings demonstrated the application of an integrated TAM-TOE-DOI framework to assess determining factors of CCA in Indian PUs.Further,the study has given useful insights into the successful CCA by Indian PUs,which will facilitate eLearning and remote working during COVID-19 or similar outbreak.展开更多
The study was looking at establishing factors that are affecting the adoption of electronic government services in the Developing Countries for Transport sector amidst the Covid-19 pandemic based on the Unified Theory...The study was looking at establishing factors that are affecting the adoption of electronic government services in the Developing Countries for Transport sector amidst the Covid-19 pandemic based on the Unified Theory of Acceptance and Use of Technology Model (UTAUT). The study first looked at the major challenges faced by the Zambian transport sector in the implementation of e-government services among the citizens. The study then proposed a model through a web-based e-commerce web portal that could be adopted to address the challenges identified in the study. The study was based on all registered motor vehicles. These were from the various transport sectors in Zambia’s capital city, Lusaka. Both qualitative and quantitative data was collected from respondents using a structured questionnaire. The questionnaire was generated based on the UTAUT conceptual model. The response rate was 57% giving 141 questionnaire responses from the four transport providers. The Chi-Square test of independence was used to analyze the data using SPSS software. The results showed that interaction between trust in government and trust in the Internet has a significant effect on the utilisation of e-government services. The test had an observed P-Value of 0.05 against the Chi-Square value of 59.535. The results further showed that e-services control and effort expectancy had a significant impact on the actual utilisation of e-government services.展开更多
文摘Pricing dynamics and volatility are accelerating the adoption of global cryptocurrency.Despite challenges,cryptocurrencies such as Bitcoin are gaining widespread acceptance,particularly in countries with unbanked populations,the lack of bank controls,and inflation.This study investigates the global patterns of cryptocurrency adoption using Generalized Linear Models and Spatial Autoregressive Models.This research introduces a novel perspective on global cryptocurrency adoption using spatial models.Our findings reveal that cryptocurrency adoption is significantly influenced by economic instability,infrastructure availability,and spatial dynamics,with higher adoption rates in countries with limited access to traditional financial systems.
基金National Natural Science Foundation of China(No.71601090).
文摘Background:The rapid development of the blockchain technology and its various applications has rendered it important to understand the guidelines for adopting it.Methods:The comparative analysis method is used to analyze different dimensions of the maturity model,which is mainly based on the commonly used capability maturity model.Results:The blockchain maturity model and its adoption process have been discussed and presented.Conclusions:This study serves as a guide to institutions to make blockchain adoption decisions more systematically.
文摘Purpose:This paper aims to examine how the adoption decision of the internet banking in North Cyprus would be affected based on the following dimensions;the technology features,the personal characteristics,the social environment and the expected risk.Design/methodology/approach:A self-administered survey was conducted with 291 participants responded to it.The partial least square approach of the structural equation modeling(PLS-SEM)is employed to investigate the direct effects of the proposed factors on the adoption decision.Additionally,the mediation test is used to examine indirect effects.Findings:Results showed that even though the participants appreciated the benefits of the online banking as the perceived usefulness factor exerts the greatest direct effect,they would rather use clear and easy-to-use websites,adding to that their assessments of the usefulness of these services are significantly influenced by the surrounding people’s views and prior experience.This is demonstrated by the total effects of the perceived ease of use and the subjective norm factors,which are greater than the direct effect of the perceived usefulness factor since both of these factors have significant direct and indirect effects mediated by the perceived usefulness factor.The negative impact of the perceived risk factor is weak compared to the previous factors.While the personal innovativeness factor showed the weakest effect among the proposed factors.
文摘Introduction: Today, information technology is considered as an important national development principle in each country which is applied in different fields. Health care as a whole and the hospitals could be regarded as a field and organizations with most remarkable IT applications respectively. Although different benchmarks and frameworks have been developed to assess different aspects of Hospital Information Systems (HISs) by various researchers, there is not any suitable reference model yet to benchmark HIS in the world. Electronic Medical Record Adoption Model (EMRAM) has been currently presented and is globally well-known to benchmark the rate of HIS utilization in the hospitals. Notwithstanding, this model has not been introduced in Iran so far. Methods: This research was carried out based on an applied descriptive method in three private hospitals of Isfahan—one of the most important provinces of Iran—in the year 2015. The purpose of this study was to investigate IT utilization stage in three selected private hospitals. Conclusion: The findings revealed that HIS is not at the center of concern in studied hospitals and is in the first maturity stage in accordance with EMRAM. However, hospital managers are enforced and under the pressure of different beneficiaries including insurance companies to improve their HIS. Therefore, it could be concluded that these types of hospitals are still far away from desirable conditions and need to enhance their IT utilization stage significantly.
文摘The construction industry needs modern construction methodology and technology to improve sustainability and production performance.Building Information Modelling(BIM)technology supports improving the quality of products by reducing design and construction defects,risks to the health and safety of workers,and reduce overall project cost and delivery time.The BIM has capabilities,but it is still undiscovered and unable to exploit the full scale of its benefits in the Architectural Engineering and Construction(AEC)industry.There is a trend to adopt the BIM level 1,which is limited to 2D and only in a few cases 3D models uses in the design and construction of residential and commercial buildings,particularly in Nepal.Hence,this paper focuses on providing insight into the BIM benefits and identifies the potential barriers while adopting BIM Level 3 in Nepal.This was accomplished by developing a 4DBIM model of a multi-story residential building in Nepal and conducting the industry survey via focus group with the AEC professionals based on the developed 4DBIM model.A comprehensive literature review was conducted and presented the findings of the BIM benefits and barriers while adopting BIM.The study found that commercial and governmental projects can immediately be adopted BIM technology.It is concluded that the unavailability of skilled BIM users and the lack of proper policies for BIM adoption are key barriers in Nepal.Hence,the new policy is required to achieve and exploit the full scale of the BIM benefits and improve the project delivery in terms of quality,cost and time including the health and safety of workers and the sustainability of the AEC industry.
文摘Blockchain technology holds significant promise for driving innovations across diverse industries, businesses, and applications. Recognized as a crucial source of competitive advantage in a fast-evolving environment, blockchain is anticipated to contribute substantially to sustainable economic and social development. Despite these high expectations, many blockchain projects currently face high failure rates, leading to negative impacts on various aspects of economic and social sustainability, including corporate governance, risk management, financial management, human resources, culture management, and competitiveness. This paper evaluates adoption models, identifying both risk and success factors. It introduces an integrated adoption model designed to operationalize, measure, and manage blockchain-driven business innovation sustainably. An empirical study involving 20 industry sectors and 125 business leaders was conducted to assess the model’s applicability. The findings indicate that the adoption model has the potential to support the sustainable implementation of blockchain technology for business innovations across various industries and applications. Future research and industry activities should continue validating this model through further case studies.
文摘The construction sector is in need of further self-development due to recent innovations in technology.This is because the environmental problems which have been handled seriously all over the world in recent years,and studies related to the way of creating requirements and measures for healthy construction environments have been emphasized.For adoption of new technological construction products in that sector;a system which will encompass designers,contractors and users is required.For selection and widespread use of new technological products,the decision-making is not only sufficient but also cultural and socio-economic factors and conditions are gaining in importance.For the implementation and control of the new construction product assigned,a process of testing is required.The process of testing should be structured by allowing the use of new technological products in a system of continuous self-improvement by preventing the usage without change for a substantial amount of time.All of these processes have been examined within the scope of the doctoral thesis in model,which was developed for the adoption of technological innovation.In this study,the aim is to contribute to the creation of an appropriate adoption roadmap for constant self-renewal and self-improvement of construction environments,which are sensitive to the environment.
文摘The use of improved high yielding crop varieties is an important avenue for reducing hunger and food insecurity in developing countries. Using cross-sectional data obtained from a survey conducted during 2013 crop season, we performed a probit model （plot-level analysis） to determine the probability of adopting new improved rice varieties （NIRVs） by smallholder farmers particularly from two main agro-ecological regions （hills and tropical plain terai regions） of Central Nepal. The results revealed that education, extension services and seed access play significant roles in adoption decisions. Additionally, farm and field characteristic variables such as farm size, endowment of favorable land type （e.g. lowlands）, and animal power （e.g. oxen） are the key factors influencing the probability of adopting NIRVs. The results showed that technology specific variables （e.g. yield potential and acceptability） are significant for explaining adoption behavior, implying that it is important to take farmers＇ preferences to varietal characteristics into consideration in the design of a research and development program. Given the significant role played by extension and access related variables, increased emphasis on information dissemination, field demonstration, and farmers＇ participatory research and training programs to popularize new rice varieties and enhance their adoption rate are required. This also suggests that policy intervention should be made on improving the educational status of farming households, and developing programs on varietal package of rice seed which offer farmers a variety of choices among the appropriate pools of germplasm. Such programs ultimately help farmers develop more profit-oriented behavior which are necessary to enhance adoption rate, production and food security in the long run.
基金supported by Federation of Indian Chambers of Commerce & Industry (2017–2018) through the Government of India under CV Raman Post-Doctoral Fellowship for African Researchers
文摘The factors affecting the adoption of modern varieties(MVs) of rice and impact on poverty in Odisha, India were discussed. A total of 363 households from Cuttack and Sambalpur districts of Odisha via multistage sampling technique participated in the survey. The Cragg's Double hurdle model was used to model the determinants of adoption and intensity of adoption of MVs of rice, and the propensity score matching was used to analyze the impact of adoption on poverty. The results showed that age, education, risk aversion, land size, yield, perception of MVs as high yielding, resistant to diseases and availability of MVs positively influenced the decision to adopt. However, variables such as household size, experience of a farmer, off-farm job participation, amount of credit received, cost of seeds, insecticides and fertilizers negatively influenced the adoption of MVs. Intensity of adoption of MVs was negatively influenced by experience of a farmer, cost of fertilizer and marketability of MVs, and positively affected by household size, risk aversion, land size, cost of insecticides, perception of MVs as high yielding and availability of MV seeds. Poverty incidence, gap and severity were high among non-adopters to adopters of MVs. After matching adopters and non-adopters of MV groups using four different algorithms of nearest neighbour matching, stratification matching, radius matching and kernel matching, the impact of MV adoption resulted in higher per capita monthly household expenditure by about US$ 52.82 to US$ 63.17.
基金the Special Project of Major Theoretical Research and Interpretation of Philosophy and Social Sciences of Chongqing Municipal Education Commission,China(19SKZDZX15)the Key Project of Humanities and Social Sciences Research of Chongqing Education Commission,China(18SKSJ003)the Funding for Cultivating Major Projects in Humanities and Social Sciences of Southwest University,China(SWU1809009)。
文摘This study examines the impact of farmers’cooperatives participation and technology adoption on their economic welfare in China.A double selectivity model(DSM)is applied to correct for sample selection bias stemming from both observed and unobserved factors,and a propensity score matching(PSM)method is applied to calculate the agricultural income difference with counter factual analysis using survey data from 396 farmers in 15 provinces in China.The findings indicate that farmers who join farmer cooperatives and adopt agricultural technology can increase agricultural income by 2.77 and 2.35%,respectively,compared with those non-participants and non-adopters.Interestingly,the effect on agricultural income is found to be more significant for the low-income farmers than the high-income ones,with income increasing 5.45 and 4.51%when participating in farmer cooperatives and adopting agricultural technology,respectively.Our findings highlight the positive role of farmer cooperatives and agricultural technology in promoting farmers’economic welfare.Based on the findings,government policy implications are also discussed.
文摘Past studies on the adoption of integrated pest management (IPM), analyzed the significance of non-spatial factors (social, economic, institutional and management factors etc.) in influencing farmers’ decision to adopt IPM while the present study analyzed spatial factors in addition to these non-spatial factors to address the questions-i. Do the spatial factors significantly influence the farmers to adopt IPM? If yes, then to what extent they do affect IPM adoption? The data were collected from 331 vegetable farmers of Narsingdi district, Bangladesh, by conducting a household survey. Farmers’ nineteen characteristics under five broad groups, namely social, economic, institutional, management and spatial factors were analyzed. The result of the binary logistic regression model revealed that two spatial factors namely the distance of farmers’ house from the nearest market and the distance from agriculture office, along with some specific social, economic, institutional and management factors, significantly influenced the farmers’ to use IPM. It is also observed from the model that the role of spatial factors was important in influencing IPM adoption. However, with regard to the level of importance, their contribution was less than those of economic and institutional factors but more than those of social and management factors. The influences of these factors in practicing IPM are discussed individually as well as group based. The findings show significance in domestic policy making.
文摘This paper estimates the perceptions, determinants and barriers regarding the adoption of climate change adaptation options among Nepalese rice farmers. A multi-stage sampling technique was used to source respondents for the study, and structured questionnaire techniques were used to collect data from 773 households across seven districts (3 from Terai and 4 from the hilly region of Nepal). A binomial logistic regression model was used to detangle the determinants for the adoption of climate change adaptation options among farmers. The results revealed that approximately 80.7% of the farmers perceived change in temperature, and 90% believed that there was a decrease in rainfall in the 30-year period. In total, 77% of farming households responded that rice production and yield has decreased due to such changes, which has forced them to adopt available adaptation options. This study found that 12 adaptation options have been mainly used by rice farmers, and among them, there has been an increasing use of chemical fertilizer, climate-smart rice verities, and changes in nursery date, which are the first three adoption options. Overall, 71% of farmers adopt such adaptation options to protect themselves from perceived risk. However, farmers are facing several barriers, such as capital inadequacy, high cost of agricultural inputs, poor adaptation information provided to farmers, inadequate access to credit facilities and inadequate awareness about adaptation regarding the adoption of such options. Binomial regression results revealed that several factors influence a farmer’s choice in adaptation measures. Our findings suggest the need for greater investment to remove these barriers and institutional shortcomings and help to improve a rice farmer’s wellbeing.
文摘Arsi zone is one of the Oromia regional state’s zones with high potential of honey and bees wax production and where there was dissemination of modern beehives. This research was initiated with objectives of quantifying adoption rate of modern beehives and its determinant factors and drawing policy implication for further extension of the technology. The study was conducted in seven districts of Arsi zone and 251 rural beekeepers were interviewed. The average productivity of the modern beehives and local beehives was found to be 19.77 kg/hive and 5.13 kg/hive. The total number of local bee hives possessed by interviewed beekeepers was found to be 1201 while that of modern beehives was found to be 279 hives which shows that the adoption rate is low and if we increase the adoption rate by 50%, the amount of honey harvest will increases by 11,862 kg which is about 5700 kg more than the total honey beekeepers can get from keeping the whole 1201 local hives. Chemical application (herbicides and pesticides), bee predators, lack of knowledge and skill on modern beehives, lack of modern beehive accessories, lack of bee forage and lack of capital were major beekeeping bottlenecks. The result of binary Logit model revealed that the main determinants of adoption are farmyard size, number of local hives beekeepers possessed, training provided, participation on demonstration, wealth status of beekeepers, and participation of beekeepers on nonfarm income sources. Provision of different information towards increasing or improving the saving capacity or culture of beekeepers, provision of adequate and relevant agricultural extension services (such as training on modern beekeeping technologies and experience sharing among beekeepers), provision of credit services to widen the financial bases of poor beekeepers and facilitating access to modern beehives and its accessories especially honey extractor and wax stumper which can increase beehives productivity were the recommendation that was drawn from the output of this research.
基金Supported by National Natural Science Foundation(71573126)Soft Science Research Item of Jiangsu Province(BR2015043)+3 种基金Soft Science Research Item,Ministry of Agriculture(201531-1)National Soft Science Research Plan(2014GXQ4D184)Major Bidding Project of National Social Science Fund(13&ZD160)Construction Project Item of Dominant Subject of Jiangsu Colleges and Universities(PAPD)
文摘Adoption of new agricultural variety is an important way to improve the efficiency of agricultural production and farmer's income.According to survey data on the 279 farmers in Huaxia,Henan Province,this paper made an empirical analysis on influencing factors of the farmer's adoption behavior for new maize variety by using the binary Logistic model. The results showed that farmer's educational level,whether or not demonstration family,the main source of household income,the maize planting area,farmer's awareness of new variety,farmer's risk attitude as well as the times to contract with agricultural inspector all had significantly positive effects on adoption of new maize variety. Whether or not the family had cadres had significantly negative effect on the adoption of new maize variety.
文摘This paper analyzes the adoption dynamics of improved rainfed maize seeds disseminated in Senegal in 2013 by the West African Agricultural Productivity Program (WAAPP). We group maize producers into five groups (non-adopters, laggards/abandoners, late adopters, followers and pioneers/innovators) and take into account the heterogeneity of unobservable characteristics of the producers. In the pioneers/innovators group, the availability of labour, household size, shocks, and frequency of access to advice positively influence adoption, whereas financial constraints and high numbers of plots reduce the probability of adoption. Producers in the followers’ category tend to be older and more educated than those in the other categories. However, food insecurity and shocks such as diseases hamper adoption. For the group of late adopters, household size and available storage infrastructures explain adoption. However, the number of plots and shocks reduces their probability of adoption. Laggards tend to face shocks and food insecurity. The authors recommend to consider the dynamics of the adoption of technological innovations and heterogeneity of the characteristics of adopters groups in future research. They also recommend farmers to increase their adoption rate of the “Early Thai” and “Suwan 1” seed varieties thanks to their higher yields compared to traditional varieties. Also, a higher adoption rate would positively impact the food security of maize farmers in Eastern Senegal and High Casamance, especially in terms of availability. Other studies measuring the number of years needed for large-scale adoption of improved seed varieties should be conducted.
文摘In the COVID-19 pandemic situation,the need to adopt cloud computing(CC)applications by education institutions,in general,and higher education(HE)institutions,in particular,has especially increased to engage students in an online mode and remotely carrying out research.The adoption of CC across various sectors,including HE,has been picking momentum in the developing countries in the last few years.In the Indian context,the CC adaptation in the HE sector(HES)remains a less thoroughly explored sector,and no comprehensive study is reported in the literature.Therefore,the aim of the present study is to overcome this research vacuum and examine the factors that impact the CC adoption(CCA)by HE institutions(HEIs)in India.The scope of the study is limited to public universities(PUs)in India.There are,in total,465 Indian PUs and among these 304 PUs,(i.e.,65%PUs)are surveyed using questionnaire-based research.The study has put forth a novel integrated technology adoption framework consisting of the Technology Acceptance Model(TAM),Technology-Organization-Environment(TOE),and Diffusion of Innovation(DOI)in the context of the HES.This integrated TAM-TOE-DOI framework is utilized in the study to analyze eleven hypotheses concerning factors of CCA that have been tested using structural equation modelling(SEM)and confirmatory factor analysis(CFA).The findings reveal that competitive advantage(CA),technology compatibility(TC),technology readiness(TR),senior leadership support,security concerns,government support,and vendor support are the significant contributing factors of CCA by Indian PUs.The study contends that whereas the rest of the factors positively affect the PUs’intention towards CCA,security concerns are a significant reason for the reluctance of these universities against adopting CC.The findings demonstrated the application of an integrated TAM-TOE-DOI framework to assess determining factors of CCA in Indian PUs.Further,the study has given useful insights into the successful CCA by Indian PUs,which will facilitate eLearning and remote working during COVID-19 or similar outbreak.
文摘The study was looking at establishing factors that are affecting the adoption of electronic government services in the Developing Countries for Transport sector amidst the Covid-19 pandemic based on the Unified Theory of Acceptance and Use of Technology Model (UTAUT). The study first looked at the major challenges faced by the Zambian transport sector in the implementation of e-government services among the citizens. The study then proposed a model through a web-based e-commerce web portal that could be adopted to address the challenges identified in the study. The study was based on all registered motor vehicles. These were from the various transport sectors in Zambia’s capital city, Lusaka. Both qualitative and quantitative data was collected from respondents using a structured questionnaire. The questionnaire was generated based on the UTAUT conceptual model. The response rate was 57% giving 141 questionnaire responses from the four transport providers. The Chi-Square test of independence was used to analyze the data using SPSS software. The results showed that interaction between trust in government and trust in the Internet has a significant effect on the utilisation of e-government services. The test had an observed P-Value of 0.05 against the Chi-Square value of 59.535. The results further showed that e-services control and effort expectancy had a significant impact on the actual utilisation of e-government services.
