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This study examines Chinese consumers' perceptions and responses to disruptive innovations within the New Energy Vehicles (NEVs) market, utilizing a questionnaire survey to explore awareness, perceived value of technological advancements, and the impact of these perceptions on adoption decisions. The survey, encompassing a diverse demographic of 154 respondents, highlights a female majority with a significant representation from the "25-34" age group, indicating a young, educated demographic with a considerable interest in NEVs. Analysis reveals a moderate familiarity with NEVs, a high valuation of technological progress, and a clear recognition of charging infrastructure availability as critical factors influencing adoption. Primary barriers identified include the high initial cost and limited charging infrastructure, with the data suggesting a strong potential for NEVs market growth if these concerns are addressed. Additionally, the survey uncovers optimistic future expectations among consumers, closely tied to government policies, technological advancements, and evolving market trends. This research contributes to understanding consumer attitudes in the rapidly changing NEVs landscape, offering insights for stakeholders to foster adoption and align strategies with consumer preferences and needs, underscoring the necessity for focused educational and marketing efforts to mitigate existing barriers and leverage consumer interest in technology. [ABSTRACT FROM AUTHOR]

The adoption of green control technologies in agriculture is an important approach to ensure the quality and safety of agricultural products, address agricultural pollution from its source, and promote increased productivity and income in agriculture, thereby driving high-quality agricultural development. This paper is based on production and operation data from 2,155 tea farmers in 16 major tea-producing provinces in China. Using an endogenous transformation model from the perspective of the value chain, it empirically analyzes the impact of adopting green control technologies on tea farmers' income and draws three conclusions. First, the adoption of green control technologies significantly promotes income growth for tea farmers. Second, the awareness of tea farmers regarding pesticide residue limits and the exchange of pest control techniques among tea farmers significantly enhance the adoption of green control technologies. Third, the income effects of adopting green control technologies differ across different stages of the value chain, with the income growth in the cultivation stage being lower than that in the processing and marketing stages. Finally, based on the analysis and relevant research by scholars, four targeted suggestions are proposed: (1) Increase efforts to promote the adoption of green control technologies and enhance farmers' willingness to adopt them. (2) Promote education and training on green control technologies for tea farmers. (3) Ensure fair distribution of benefits along the agricultural value chain. (4) Strengthen the promotion of green control technologies at the market and consumer end. [ABSTRACT FROM AUTHOR]

Agricultural technology adoption is an important way to improve agricultural technology and production efficiency and promote agricultural modernization. However, the low willingness to adopt agricultural technologies has been a challenge in China. Cognitive load may affect smallholder farmers' decision to adopt new technologies. Using an experimental economics approach, we examine the effect of cognitive load on smallholder farmers' willingness to adopt technology from a cognitive perspective based on a field experiment with 440 smallholder farmers in Shaanxi Province, China, in 2021 and 2022. The experimental results show that cognitive load has a significant negative effect on farmers' willingness to adopt technology, and the higher the level of cognitive load, the lower the farmers' willingness to adopt the technology. From the mechanism of action, cognitive load influences smallholder farmers' technology adoption intention by consuming their attention. In addition, cognitive ability, technology training, and government subsidies had heterogeneous effects on cognitive load affecting farmers' willingness to adopt new technologies, i.e., the cognitive load had less inhibitory effects on technology adoption willingness of smallholder farmers who has the high cognitive ability, participated in technology training and received government subsidies. Therefore, in the context of rural revitalization, the Chinese government should pay attention to the influence of farmers' cognitive mechanism on their willingness to adopt agricultural technologies, improve their cognitive ability, provide more technical training guidance, and provide targeted subsidies, to guide farmers to actively adopt new technologies and get rid of the "poverty trap". [ABSTRACT FROM AUTHOR]

E-government technology (EGT) is the cornerstone of efficient government offices, which can streamline their work to enhance service quality for government employees. Thus, it is essential to examine the determinants of EGT implementation by government employees. Guided by the Unified Theory of Acceptance and Use of Technology 3 model, this research explores critical determinants that affect EGT adoption. Results from questionnaires completed by 207 Chinese government employees indicated that EGT adoption intention is positively affected by facilitating conditions (FC), habit (HB) and personal innovativeness (PI). Moreover, it partially mediates the relationship between HB and EGT adoption behavior, as well as PI and EGT adoption behavior. EGT adoption behavior is significantly affected by HB and PI. Surprisingly, research found other factors not significant for EGT adoption intention. This research contributes to the theory in the area of e-government and provides valuable insights for government agencies, with theoretical and practical significance. [ABSTRACT FROM AUTHOR]

This study examines mobile learning adoption and continuance in education literature through bibliometric methods. The metadata of 155 relevant publications was extracted from the Web of Science database and imported into "biblioshiny" for analysis. It was found that Education and Information Technologies has the highest publications, and Computers & Education is the most cited journal. Author analysis revealed that Shakeel Iqbal has the most articles fractionalized. Further, the most cited articles were published in the year 2012. The study revealed an exponential increase in research in the top producers, China and Turkey, since 2019. TAM was found to be the most popular theory among researchers. In addition, interest in self-determination theory has been growing recently. The studies examined limited subjects (language, mathematics, and science). The findings indicated several associated keywords, such as augmented reality, cyberloafing, and virtual reality. The thematic map revealed emerging (e.g., self-regulation), niche (e.g., literacy), motor (e.g., attitude), and basic (e.g., addiction) themes. Further, the conceptual structure map suggested the nuances of difference between the constructs of "intention" and "continuance intention". [ABSTRACT FROM AUTHOR]

Various policies have been implemented to encourage the development of family farms and cooperatives in the past decade in China. New technology adoption is a crucial part in promoting the performance of family farms. However, empirical evidence on whether and how cooperatives would facilitate family farms to adopt new technologies remains unclear. To address the gap, this paper examines the impact of family farms' cooperative membership on new technology adoption (i.e., new varieties, new machinery, new fertilizers, new pesticides, new pest control techniques, new production methods and new management methods). Using novel survey data from 848 family farms in China, and employing both propensity score matching approach and endogenous switching probit model, we find that for family farms, cooperative membership has positive and significant impacts on new technology adoption. When looking into different types of technology, we find that the impacts are larger on the adoption of new methods than new techniques. Moreover, the impacts are larger for family farms with lower operation income and smaller size. The findings provide important insights for policymakers tasked with promoting agricultural technology adoption. [ABSTRACT FROM AUTHOR]

Copyright of Transformations in Business & Economics is the property of Vilnius University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Under the uncertainty of conservation tillage on output, technology demonstration, as an information disclosure mechanism, is very worthy of attention for its effects on rural households' conservation tillage adoption. This study constructs a three-stage technology adoption model to discuss the theoretical relationship between technology demonstration and rural households' conservation tillage adoption decision, and then empirical analyzed it using a sampling rural household data from six provinces in the main grain-producing areas of China. The results show that: First, the cognition of conservation tillage is the pre-determined stage for the adoption and its intensity. Second, technology demonstration has significant positive effect on rural households' cognition of conservation tillage, but it strongly negative related to the adoption and adoption intensity. Third, extending the technology demonstration time cannot change the rural households' adoption decision. Fourth, the technological demonstration has similar effects on the conservation tillage adoption of small-scale and large-scale farmers. Fifth, increasing land size helps rural households to adopt conservation tillage, while land fragmentation hinders their adoption. [ABSTRACT FROM AUTHOR]

Increasing the agricultural technical efficiency is crucial to poverty reduction for smallholder farmers in developing countries. This study attempts to examine the impact of farmers' lottery participation on technical efficiency from the perspective of the farmers' revealed risk preferences, and to explore the influence mechanism between lottery participation and technical efficiency, based on the primary data collected from banana farmers in rural China. We used data envelopment analysis (DEA) to measure the combined technical efficiency of the farmers and constructed an endogenous switching regressions (ESR) model to analyse the impact of lottery participation on the technical efficiency of banana farms. A quantile regression model was used to analyse the heterogeneous effects under the different levels of the farmers' technical efficiency. Then, a mediation model was employed to clarify the influence mechanism of lottery participation on technical efficiency in terms of two pathways: the adoption of biopesticide and the soil improvement technique. The empirical results show that farmers' lottery participation revealed their risk preferences and several factors affected banana farmers' participation in the lottery. Specifically, male farmers are more likely to participated in the lottery than female; farmers' working hours negatively affected their lottery participation; and the use of a smartphone significantly increased the likelihood of farmers buying lottery tickets. We also found that farmers who participate in the lottery have higher technical efficiency in banana production, and the average treatment effect of lottery participation on the technical efficiency was 21.5%, indicating that the farmers with revealed risk preferences can significantly promote technical efficiency. The effect of risk preferences on economic performance is more significant for farmers at the middle technical efficiency level. The explanation is that the adoption of new technologies (e.g., biopesticides) played a mediating effect between farmers' lottery participation and their technical efficiency. New technologies are more likely to be adopted by farmers who participate in the lottery, resulting in higher technical efficiency. Therefore, policymakers and stakeholders can better design technology extension programs according to the different attitudes of the target farmers towards risks in developing regions. [ABSTRACT FROM AUTHOR]

To combat climate change, the Chinese government has implemented a package of policies to support the development of the biogas power generation industry. However, the promotion of biogas power generation technology in China is relatively slow. Therefore, it is of practical significance to study the promotion of biogas power generation technology against the background of policy support. In order to study the effect of policy on the promotion of biogas power generation technology, a system dynamics model is constructed in this paper. The results show that under the feed-in tariff subsidy policy, biogas power generation technology can be well promoted because it has good economic and environmental effects. In addition, if the biogas power generation technology is considered to participate in carbon emission trading, the carbon price also has a positive impact on the promotion of biogas power generation technology because it increases the perceived economic value of biogas power generation projects. Finally, this study can also provide reference value for the promotion of biogas power generation technology in other areas. [ABSTRACT FROM AUTHOR]

Copyright of Service Industries Journal is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Purpose: Prior researches on the adoption of mobile health services (MHS) concentrate on the subjective cognitive appraisals resulting in technology adoption, while ignoring how to shape those cognitive appraisals by the objective message design strategies which are easier to operate in practice. Based on protection motivation theory (PMT), the current research aims to explore the antecedents of cognitive appraisals by focusing on message design strategies of fear appeal and coping appeal. Design/methodology/approach: A two-stage scenario-based survey of 204 participants was conducted to collect data. The authors chose SPSS and covariance-based structural equation modeling (CB-SEM) approach with the software LISREL 8.8 to test our model. Findings: The results show that the relationship between fear appeal and fear arousal is inverted U-shaped such that the degree of fear arousal is the greatest when the fear appeal is at a moderate level. Perceived usefulness for the message with negative framing is higher than that with positive framing. Furthermore, fear appeal and coping appeal have a significant interaction on the adoption of MHS at different stages. Research limitations/implications: The sample data of this study come from a special health service of a special group in China, which limits the universality of our research results for other groups or health care services. Therefore, future researchers can validate the model in other research scenarios and sample populations. Originality/value: This study shows how fear appeal and coping appeal work together to influence individuals' adoption intention. The authors' findings expand the theoretical depth of PMT and fear theory, enriching the theoretical connotation of framing effect in mobile health technology adoption context, which add new insights to design more persuasive messages through fear appeal and coping appeal for researchers and MHS providers in mobile health communication or propaganda. [ABSTRACT FROM AUTHOR]

Understanding the impact of agricultural socialized services on smallholder adoption of green production technologies and their mechanisms of action is of great importance for sustainability of farming systems. Currently, there were numerous related studies, but it is still unclear how to gradually achieve the diffusion of technological innovations on pilot sites to a regional level. To answer this question, this paper presents the pathways and mechanisms of green production technologies diffusion by comparing international typical service organizations or modes such as agricultural technology extension service centers (ATESC), farmer field schools (FFS), participatory technology innovation (PTI) and integrated colearning approach (ICLA), while taking Wangzhuang Science and Technology Backyard (WZ STB) in Quzhou, Hebei Province, China as an example. This research had three key outcomes. (1) The combination of collaborative, tree-shaped and jump-start diffusion modes promotes the diffusion of participatory technology innovation to different scales, such as farmers, villages and counties. (2) The three diffusion modes combine and expand the advantages of existing international modes. The collaborative diffusion mode not only provides full scope for the advantages of PTI, but also provides smallholders with service supply for the whole production period. The tree-shaped diffusion mode combines the advantages of FFS from point technology innovation to village diffusion, while achieving a full range of technical service support. The jump-start diffusion mode cannot only achieve large-scale technology diffusion like ATESC and ICLA, but also empower smallholders through adaptive technology innovation. (3) Trust is the key to promoting smallholder reliance on the science and technology provided by STB and to promote their adoption of green production technologies. Accordingly, the following policy recommendations were proposed: strengthen the combination of top-down and bottom-up technology innovation and diffusion models, establish an effective service communication platform and evaluation mechanism, and strengthen the linkage mechanism between socialized services providers and smallholders, which will provide a realistic basis for the national policy of targeted socialized services provision and promote smallholder adoption of green production technologies. [ABSTRACT FROM AUTHOR]

The 2019 Novel Coronavirus Pandemic has severely challenged the continuity of post-secondary education around the world. Online learning platforms have been put to the test, in a context where student engagement will not occur as a simple matter of course. To identify the factors supporting online learning under pandemic conditions, a questionnaire based on the Unified Theory of Acceptance and Use of Technology was adapted and administered to a sample of 704 Chinese university students. Structural equation modelling was applied to the resulting data, to identify the most relevant theoretical components. Effort expectancy, social influence, and information quality all significantly predicted both students' performance expectancies and the overall adoption of their university's Moodle-based system. Performance expectancy mediated the effects of effort expectancy, social influence, and information quality on symbolic adoption. Internet speed and reliability had no clear impact on adoption, and neither did gender. The direct impact of information quality on symbolic adoption represents a particularly robust and relatively novel result; one that is not usually examined by comparable research. As outlined, this is one of three key factors that have predicted online learning engagement, and the viability of educational continuity, during the Coronavirus pandemic. The same factors can be leveraged through user-focused development and implementation, to help ensure tertiary education continuity during a range of crises. [ABSTRACT FROM AUTHOR]

In the context of emerging digital advisory services that can make a potential difference in sustainable farming practices, this article analyzes the connection between on-farm human interaction and digital advice. Based on an experimental case from China's largest ever national research initiative on reducing agrochemical use in agricultural production, this study found that introducing university facilitators to promote ICT-based advisory services is conducive to site-specific fertilizer use. Through interactions with farmers, the facilitator complemented digital advisory services to achieve optimal N-fertilizer use in maize production. Digital service providers favoured large farms and usually would not service smallholder farmers, thus limiting the potential of digital advisory services. A main theoretical implication is that digital technology should not be completely relied upon because it may only give part of the answer. A human facilitator still plays an important role in integrating new technologies in interaction with farmers. Human advisory services can interpret or translate data to improve farmers' decision-making, going beyond the advisory capacity of ICT technology. This is an important policy implication for China regarding its national research policies on agricultural sustainability and digital advisory services, and also calls for further research on interactions between digital and human advisory services. [ABSTRACT FROM AUTHOR]

The China–Tanzania Village-based Learning Center for Poverty Reduction project aims to demonstrate China's experience in poverty reduction through developing smallholder agriculture at the village level, and through the promotion of improved technologies with the purpose of increasing agricultural productivity and improving village-level agricultural production. However, to promote technology application effectively, a better understanding of farmers' behavioral intention toward improved maize technology is needed. This study uses microdata from 282 Tanzanian maize farmers. Compared with previous research, the innovation of our study is that the methods of structural equation model (SEM) and fuzzy-set qualitative comparative analysis (fsQCA) are applied to study the influencing factors of farmers' intention to adopt improved maize technology and the combination paths that affect farmers' intention. The analysis results show that farmers' behavior perceptions and compatibility perceptions positively impact their intention to choose agricultural technology. Three modes can trigger farmers' intention to adopt technology: "behavior perception, compatibility perception, non-self-efficacy, facilitation conditions," "behavior perception, social impact, non-self-efficacy, facilitation conditions," and "compatibility perception, social impact, self-efficacy, facilitation conditions." To increase maize yield and promote the extension of improved agricultural technology through the China–Tanzania Village-based Learning Center for Poverty Reduction project, it is necessary to choose an effective combination path to influence farmers' intention to adopt the proposed changes. If farmers' intention to adopt improved maize technology can be increased to a greater extent, it can accelerate the improvement of agricultural technology in Tanzania, thereby increasing agricultural productivity, improving agricultural production at the village level, and reducing poverty. [ABSTRACT FROM AUTHOR]

Mobile phone users are increasingly adopting mobile payment technologies. Previous studies about mobile payments rarely consider customer psychological and market environmental factors. This article explores the mobile payment adoption issue based on a model integrating variables from the technology acceptance model (TAM) and the innovation diffusion model (IDT), as well as risks, social influence and internet experience, taking into account the circumstances of the Chinese market. Our analyses of a random sample of 922 mobile users show that these factors significantly impact the adoption of mobile payment in China. The degree of their influence and functions vary between mobile users who have mobile payment experience and others without such experience. [ABSTRACT FROM AUTHOR]

In recent years, a growing body of literature has explored the determinants and impacts of sustainable agricultural technologies. However, little is known about the relationship between agricultural socialized services that have reshaped the smallholder agricultural system and promoted scale operation in rural China and environmentally friendly agricultural innovation adoption of the farm. Our study examines the effects of agricultural socialized services on the adoption of sustainable agricultural practices (SAPs). In this study, we capture the number of SAPs adopted, unlike most existing studies that analyze the dichotomous decision of agricultural technology adoption. We apply an endogenous-treatment Poisson regression model to analyze using a national representative farm-level survey data set with 1357 farm households from 132 villages in China. The results show that socialized service use has a significantly positive effect on the number of SAPs adopted. Our results suggest that agricultural socialized services can promote the adoption of sustainable agricultural technologies among smallholders, and thus help transform conventional agriculture into sustainable agriculture. [ABSTRACT FROM AUTHOR]

Climate change in natural disasters such as droughts and floods has caused people to adopt, extend, and diffuse adaptive agricultural technologies. Meanwhile, the development of the farmland leasing market has pushed agricultural laborers to migrate from rural to urban areas, resulting in less participation in collective action. It is generally believed that no-tillage technology lessens the agricultural production risks instigated by climate change and natural disasters. However, previous literature has given little attention to this phenomenon, especially in the context of China. So, to fill this gap, the current study explores the influence of natural disaster shock and collective action on farmland transferees' no-tillage technology adoption using the data of 621 farmland transferees from Shaanxi, Gansu, and Ningxia provinces, China. By using Heckman's two-stage and moderating-effect models, the findings initially reveal that in the sample, 249 farmland transferees adopt no-tillage technology, accounting for 40.10% of farmland transferees. The farmland area in which no-tillage technology is adopted accounts for 23.90% of the total farmland area. Natural disaster shock exerts a positive and significant influence on transferees' no-tillage technology adoption, i.e., if the intensity of natural disaster shock increases by one unit, the adoption rate and adoption degree will increase by 24.9% and 9.5%, respectively. Meanwhile, collective action also positively and significantly impacts transferees' no-tillage technology adoption. If the number of transferees participating in collective action increases by one unit, the adoption rate and degree will increase by 13.3% and 6.5%, respectively. Further, it is found that collective action positively moderates the relationship between natural disaster shock and the adoption of no-tillage technology by farmland transferees. Additionally, educational level, agricultural income, farmland area, etc., are also found to influence transferees' no-tillage technology adoption significantly. Moreover, based on gender and organizational participation differences, the findings reveal that the effects of natural disaster shock and collective action are heterogeneous. The results propose that policymakers should take countermeasures such as providing training in no-tillage skills, raising no-tillage subsidy standards, and guiding long-term farmland transference. [ABSTRACT FROM AUTHOR]

In rural areas, neighborly relationships are complex, and farmers' behaviors are largely influenced by neighborly interactions. The promotion of agricultural technologies should not overlook the social interactions between farmers. Based on survey data from farmers in Minqin, China, this paper explores the role of overall social interaction and its various dimensions in farmers' adoption of water-saving irrigation technology, focusing on the testing of three interactive mechanisms during the technology adoption process. The goal is to provide scientific policy suggestions for government when promoting agricultural technologies. The results show the following: social interaction promotes the adoption of water-saving irrigation technology among farmers; among the four dimensions of social interaction, the depth and frequency of social interaction facilitate the adoption of these technologies; social interaction promotes technology adoption through endogenous interaction mechanism, situational interaction mechanism, and social norm mechanism, with situational interaction mechanism and social norm mechanism playing a more significant role; social interaction has a stronger impact on farmers with longer farming experience and higher irrigation costs. Therefore, the government should emphasize the important role of social interaction in the adoption of agricultural technologies and accelerate the diffusion of these technologies through fostering technical exchanges among farmers, cultivating demonstration households, and implementing differentiated promotion strategies., (© 2024. The Author(s).)

The adoption of livestock husbandry technologies has been an important factor affecting the welfare of herders and the efficiency of grazing-based livestock production and grassland protection in China's pastoral areas. The small-scale herder is the main body of grassland-based grazing husbandry, and so technology adoption is particularly important, though it is currently scarce. To identify the factors influencing technology adoption behavior by Chinese herders, especially its effect on the scale of livestock sales and non-pastoral employment (NPE), we conducted a survey in the Gansu and Qinghai provinces of China with a sample of 296 herder households. The results show that the scale of livestock sale promotes the adoption of technology, while non-pastoral employment has a generally negative effect. In detail, the substitution effect of NPE is positive, but the wealth effect is negative. In addition, NPE and its wealth effect have moderating effects that can enhance the effect of the sales scale on the adoption of herders' technology. After distinguishing the technologies into profit-seeking technology and pro-environmental technology, we found that NPE and its substitution effect have a significant influence on pro-environmental technology, while the wealth effect has a significant impact on both profit-seeking and pro-environmental technology. Environmental awareness and altruism also have significant positive impacts on pro-environmental technology. These findings are relevant to policy implications dealing with technology adoption in pastoral areas. [ABSTRACT FROM AUTHOR]

Copyright of Revista En-Contexto is the property of Tecnologico de Antioquia, Institucion Universitari and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

In the last decade, micro-lectures have been widely used to teach mathematics, but only a few studies have examined the factors affecting teachers' intentions of using micro-lectures. As teachers are key to integrating modern technologies such as micro-lectures into students' learning processes, knowledge about teachers' intentions in this regard could be of particular importance. This study aimed to analyze the behavioral intention (BI) of mathematics teachers in using micro-lectures in mathematics in China, and identify the most influential factors involved, for the very first time. The Unified Theory of Acceptance and Use of Technology (UTAUT) model was used as a design model to investigate teachers' BIs concerning the use of micro-lectures, and we used an online questionnaire to collect quantitative data. The participants in our research were 174 mathematics teachers from China, 166 of whom provided us with evaluable questionnaire data. Furthermore, partial least squares (PLS) regression was used, and hypothesis testing was performed with the Smart-PLS software. From the results, BI was positively affected by Performance Expectancy (PE), Effort Expectancy (EE), and Social Influence (SI). BI and facility conditions also had positive effects on user behavior; in contrast to other studies, SI had the most significant positive effect on BIs in our study. Our findings could provide insights into both future strategies for successful technology integration in mathematics classes and into mathematics teachers' intentions towards integrating technologies into mathematics teaching. [ABSTRACT FROM AUTHOR]

The diffusion of new technology is an important driver of agricultural development, especially in the developing world. In this research, we follow the persistence of major historical events, employing a difference‐in‐differences method to carefully examine the long‐term effect of China's 1959–1961 famine on farm households' current decisions to adopt technology. Further, we combine a mediating regression procedure with a bootstrap method to explore the mechanism of impact in this relationship. Overall, this study provides strong empirical evidence that the Great Famine attenuated technology adoption; moreover, a 1% increase in exposure to famine in childhood and adolescence resulted in a 0.137% decrease in the probability of technology adoption when controlling for village dummies. An analysis of mediating effects reveals that risk preferences account for the channel of famine persistence. [ABSTRACT FROM AUTHOR]

The adoption of improved crop varieties, such as drought‐tolerant varieties, plays a crucial role in addressing climate change. In this study, we explore how and to what extent spatial interactions between farmers and neighboring farmers affect the adoption of drought‐tolerant wheat varieties (DTWVs), using data collected from rural households in China. A spatial Durbin probit model is utilized to identify the spatial patterns in DTWVs adoption. Results show that spatial dependence exists in DTWVs adoption. Spatial dependence is positively associated with wheat farmers' DTWVs adoption decisions, and the spatial effects mainly arise from the neighboring farmers' adoption decisions and information spillover via smartphone use and extension service contacts. Further analysis reveals that DTWVs adoption improves farm performance by increasing both wheat yields and farm profits significantly. Our findings underscore the necessity of considering spatial interactions between farmers when designing and promoting innovative agricultural technologies in rural areas. [ABSTRACT FROM AUTHOR]

Enterprise resource planning (ERP) software is a platform for innovation with high failure rates due to its complexity. In China, failure rates of ERP are also high, with key differences between China and Western countries in terms of development, cultural, and organizational structure. Even when Chinese firms successfully adopt ERP, many fail to assimilate ERP and consequently never experience the full benefits of the innovation. The purpose of this study is to examine the predictors of adoption versus assimilation in Chinese firms. The existing literature largely assumes a dichotomy of choices when implementing organizational innovations in business: technological evaluation and imitation. We argue that this dichotomy does not apply well to a Chinese ERP context. China has achieved tremendous success in manufacturing and industrial processes through technological leapfrogging offered by imitation. At the same time, Chinese firms are under increasing pressure to innovate. Therefore, we argue that forces of imitation and evaluation are likely both at play when Chinese firms adopt and assimilate innovations—including ERP. Accordingly, we examined how two behaviors, interorganizational social technology imitation and rational technology evaluation, influence Chinese organizations in adopting and assimilating ERP systems. Our findings suggest that both social technology imitation and rational technology evaluation are determinants of Chinese ERP adoption and assimilation. Hence, this study offers new ways for IT and innovation researchers to explore social behavior (i.e., imitation) in IT diffusion processes and to consider the merits or risks of such behavior alongside the conventional rational approach (i.e., evaluation). [ABSTRACT FROM AUTHOR]

The outbreak of COVID-19 has introduced critical challenges in the architecture, engineering, and construction (AEC) industry; to address these challenges, building information modelling (BIM) can be applied as a project management tool to help enhance collaboration among stakeholders and improve business performance. Amidst the COVID-19 crisis, there is a greater need to explore and implement effective strategies to promote a wider adoption of BIM. However, increasing the willingness of project participants to adopt BIM through event management has not received much attention. Therefore, based on event system theory and innovation diffusion theory, we developed a model to explore the influence of the COVID-19 crisis on the willingness of AEC participants to adopt BIM. Structural equation modelling was performed to test the hypotheses. The results demonstrate that the intention of the AEC project participants to adopt BIM is directly driven by the COVID-19 event criticality and perceived usefulness of BIM. Moreover, the event criticality and BIM technical features (relative advantage, compatibility, and complexity) can indirectly affect this intention, through the perceived usefulness. However, the impact of event disruption and novelty on the BIM adoption intention is not significant. Several recommendations are provided to improve the BIM adoption intention of AEC participants during and after the pandemic. [ABSTRACT FROM AUTHOR]

• We examine the impact of incentives on EV adoption in both the public and private domains empirically in China. • The endogenous problem of charging facilities was solved by an instrumental variable strategy. • Financial incentives, population density, and fuel price help to explain EV adoption in the public domain. • Charging station construction and other convenience measures significantly promote EV purchases in the private domain. The emerging electric vehicle (EV) industry has received enormous support from global governments for its advantages in energy conservation and carbon emission reduction. This paper focuses on the development of the EV industry in China and empirically examines the impact of the government's incentives on EV adoption in both the public and private domains using data from 61 cities spanning 2009–2018. EV-supportive policies, including financial incentives and convenience measures, are discussed, and a variable instrumental strategy is applied to solve the endogenous problem of charging facilities. The results reveal that in the public domain, financial subsidies can effectively promote the use of electric buses; however, the adoption of commercial EVs is mainly stimulated by charging facility construction and increasing fuel prices. Meanwhile, in the private domain, convenience measures, such as charging station construction and non-purchase limitations, contribute to increasing the demand for EVs, while the effect of financial incentives is not as significant as we expected. [ABSTRACT FROM AUTHOR]

According to Statista global report 2020, worldwide smartphone adoption is over 3.5 billion users given the world population of 7.8 billion for the same period [1]. The world's most populous country China has about 851 million users which is 146% over the second highest populous country which is noteworthy and in well developed country like US it is about 260 million users who have adopted smart phones. This clearly shows the split in adoption of smart technologies among the people globally. We understand that still a sizeable population does not have access to smart devices yet. However, for better and safe living, we aim to develop a solution that is compatible with all types of devices and improve inclusivity among the various sect of people. This paper aims to create smartness in applications to touch the lives of people rather than merely relying upon smart devices usage. [ABSTRACT FROM AUTHOR]

Background: The promotion of early diagnosis is undoubtedly effective in reducing the burden of disease. Contrast-enhanced ultrasound (CEUS) is a diagnostic technology for liver cancer, but its implementation faces some challenges. Understanding the influencing factors of CEUS utilization is crucial for its successful implementation. However, such research is rare. The aims of this study were to investigate the status of CEUS utilization and its predictors in China.Methods: Through multistage random sampling, a cross-sectional study design was conducted among physicians in charge of direct use of CEUS working at liver disease-related departments of sampled health institutions. To access the potential influencing factors of physicians' CEUS utilization, a structured questionnaire was developed based on the theoretical model, which was developed by integration of the Theory of Planned Behavior (TPB) and Technology Acceptance Model (TAM). Structural equation modeling was used to verify the proposed hypotheses, and analyze the relationship and mechanism between the factors.Results: A total of 309 physicians were enrolled. The mean score of utilization behavior was 2.04 (SD = 1.07), and 37.22% above the mean. The favorable fitting results demonstrated that the integration of TAM and TPB was an acceptable model. SEM results also identified physicians' intentions to use CEUS was directly associated with utilization behavior (β = 0.287, P < 0.001). Attitude (β = 0.272, P < 0.001), subjective norm (β = 0.172, P = 0.013), perceived behavioral control (β = 0.491, P < 0.001) and perceived usefulness (β = 0.108, P = 0.027) significantly influenced physicians' intentions. Besides, subjective norm (β = 0.065, P = 0.021), perceived behavioral control (β = 0.141, P = 0.003), and perceived ease of use (β = 0.022, P = 0.033) indirectly affected physicians' CEUS utilization.Conclusions: The findings provide a reference for understanding the factors associated with physicians' utilization of CEUS. Additionally, the proposed measures such as building innovative and incentive environment, providing high quality and adequate training, etc., will help promote the utilization of CEUS, thereby increasing the detection rate of liver cancer, and improving the survival rate and the quality of life for liver cancer patients. [ABSTRACT FROM AUTHOR]

The mobile payment market has exponentially increased in the last decade. Notably, in the Asia Pacific area, the market is already saturated with extensive use of the technology and various service providers, where customer retention is becoming increasingly important. This study examines the loyalty of mobile payment service users and its determinants, adopting the theoretical lenses of flow, technology adoption, and task-technology fit (TTF). We surveyed 228 mobile payment users concerning their experiences and perceptions on mobile payment services in China. Our findings suggest that enjoyment, challenges, and task-technology fit lead to user satisfaction, thereby contributing to the increase of user loyalty. Additionally, perceived usefulness increases user loyalty to mobile00 payment services. These findings offer theoretical contributions to the body of knowledge about mobile payment and practical implications for the industry. [ABSTRACT FROM AUTHOR]

The ability to use translation technology is considered a key component of a translator's translation competence. However, few studies have investigated the extent of use of translation technology, especially among student translators. This paper reports on a survey of translation technology adoption among 441 students enrolled on a Master-level Programme in Translation and Interpreting. A questionnaire was used to measure student knowledge and frequency of use for six common types of translation technology tools and resources: electronic dictionaries, search engines, online encyclopaedias, corpora, machine translation and computer-aided translation tools. The results show that there is a strong, positive correlation between student knowledge and their use of translation technology. More specifically, the second-year students generally used translation technology more frequently than the first-year students. This paper provides a baseline for future comparisons of translation technology use, which has implications for teaching translation technology in China and similar contexts elsewhere. [ABSTRACT FROM AUTHOR]

As multinational corporations engage in technology adoption internationally, it is becoming increasingly important for managers to pursue a process that will ultimately lead to the adoption and effective use of new technology in divergent markets. In this study, the authors explore a technology adoption model (TAM) that is appropriate for the context of China. Employing a sample of 506 Chinese business professionals, they develop and test a modified TAM within the Chinese business culture. The results indicate that the modified TAM works well. The authors discuss implications for international marketing academics and practitioners. [ABSTRACT FROM AUTHOR]

This paper investigates the impact of mobile hailing technology with destination information on taxi driving behaviors and productivity change. This paper investigates the impact of mobile hailing technology on taxi driving behaviors. A controversial feature of mobile hailing applications in China is the disclosure of not only pickup locations but also drop-off destinations before drivers accept offers. It provides taxi drivers two different mechanisms to improve their hourly earnings: reducing cruising time and selecting more profitable trips. We examine 3.6-terabyte minute-by-minute geolocation data of 2,106 single-shift drivers in Beijing. A modified change-point model is proposed to infer the adoption decisions and estimate the changes in driving behaviors. We show that mobile hailing technology adoption is associated with an average increase of 6.8% in hourly earnings, equivalent to an extra CNY 750 monthly income. A typical taxi driver greatly improves hourly earnings through trip selection in favor of longer trips rather than aiming for cruising-time reduction. We find that the relative importance of cruising-time reduction and trip selection depends on driver skills and market conditions. We do not find market expansions on the number of trips or working hours, but rather a redistribution of realized trips toward long distances. [ABSTRACT FROM AUTHOR]

Purpose The purpose of this paper is to identify the key facilitators and inhibitors of fitness wearable technology (FWT) adoption and the intention to recommend this technology.Design/methodology/approach An innovative and integrated research model was developed by combining constructs from two well-established theoretical models, the extended unified theory of acceptance and use of technology (UTAUT2) and diffusion of innovation (DOI). The proposed research model was empirically validated using data collected from 392 respondents in China. The data was analyzed using the partial least squares method, a statistical analysis technique based on structural equation modeling.Findings The results indicate that performance expectancy, effort expectancy, social influence, habit, compatibility and innovativeness have significant direct and indirect effects on FWT adoption and the intention to recommend it. The significance of people's intention to recommend FWT to others in social networking sites (e.g. Facebook, Weibo, and WeChat) is also confirmed.Practical implications The findings may facilitate the design and implementation of FWT products, applications and functionalities that can achieve high consumer acceptance and positive recommendations in social networks.Originality/value This study is among the first to investigate FWT adoption from behavioral, social and environmental perspectives. It also highlights the importance of social marketing campaigns and suggests directions of future wearable technology adoption research. [ABSTRACT FROM AUTHOR]

Technological changes will influence the extent to which China can reduce its energy consumption and carbon emissions without hampering economic development. Based on data of 580 firms in the Top-1000 Enterprise Energy Saving Program during 2006 and 2009, we differentiate between technological change embodied in new production capital and disembodied technological change. We find that both types of changes clearly led to energy efficiency. Firms of domestic ownership and higher profit were more prone to making investment with embodied technological changes. Energy efficiency rates associated with embodied technological change were higher among younger firms and those with more intensive use of energy. Energy saving associated with disembodied technological change was higher in firms of state or foreign ownership, larger scale, orientation toward domestic market, and more intensive use of energy. The findings call for the need to carefully consider the effect of different policy instruments in energy saving, and to track long-term energy statistics at the micro-level. [ABSTRACT FROM AUTHOR]

Mobile payment becomes a convenient way to complete transactions due to the increasing popularity of mobile devices and the maturity of related technologies. Users’ experience of using computers and the Internet in financial activities largely affects their intention to use mobile payment. Combining the Technology Acceptance Model and Innovation Diffusion Theory, we examined the mediating effect of five factors, that is, perceived usefulness, perceived ease of use, compatibility, risk, and privacy concern, in the relationship between Internet experience and the adoption of mobile payment. Data from 922 mobile users supported the partial mediating effects of the five factors. [ABSTRACT FROM PUBLISHER]

With increasingly severe energy and environmental issues in China, it is essential to reduce energy consumption and CO 2 emissions by promoting energy-saving technologies in vehicles. Combined with the 13th five-year CO 2 abatement target in the passenger car sector, this study establishes the marginal abatement cost (MAC) curves of vehicle energy-saving technology bundles in China's passenger car sector during 2016–2020 under multiple uncertainties. The total cost to achieve the CO 2 abatement target under uncertainties is investigated and the effect of technology adoption on reducing the CO 2 abatement cost is estimated. Results show that the average MAC of the passenger car sector is relatively high (2347.21 RMB/t), with more obvious fluctuations compared to the reduction potential. Under integrated uncertainties, Hybrid Electric Vehicle (HEV)_path and Vehicle-technology could be preferentially promoted in the early stage of technology popularization in the passenger car sector, while Plug-in HEV_path and Hybrid-technology could be preferred in the later stage. The cumulative cost to achieve the 2020 fuel-economy target is about 33,150 million (M) RMB in the reference scenario. Compared to energy-substitution, the energy-efficiency paths or technologies have relative cost advantages and play a more important role in decreasing the CO 2 abatement cost; of these, the HEV_path, Diesel_path, Transmission-technology and Vehicle-technology could be preferred. [ABSTRACT FROM AUTHOR]

Market-based environmental policy can strongly affect both technological advancement and the diffusion of less pollution-intensive or less cost-intensive abatement technologies and facilities. This study applied an agent-based model to examine the effects of an emissions trading system on the NOx technology adoption of power plants in China. The results indicate that an emissions trading system influences obsolete technologies with lower removal levels, but it does not promote the adoption of the most advanced technology. Most power plants will adopt the best available technology under an emissions trading program. In addition, national emissions trading encourages power plants to adopt technologies with relatively higher removal rates compared with separate regional emissions trading systems, but a national program decreases the adoption of most advanced technology. Further, initial allowance allocations based on concentration standards rather than on generation performance standards may promote power plants to adopt the newest technologies more quickly. [ABSTRACT FROM AUTHOR]

We specify a general model of the dynamic abatement technology adoption process and show how the accumulated experience among them can alter the adoption timing. Learning-by-doing (LBD) effect is considered to describe the reduction of the costly price to the adoption. Moreover, spillovers effect which reflects how accumulated experience can be shared among different technologies, is integrated into the learning process. To ensure the specification convincing, some reasonable assumptions are considered such as one abatement technology must conduct its own experience in order to realize the spillover. Besides, to investigate how the abatement process is influenced by the technology allocation under the spillovers effect, an endogenous emission path is considered to necessitate a meaningful optimization problem. Finally, apart from obtaining some basic properties of the model, we implement an empirical study to verify the effectiveness of the model. Data from the iron industry in China is used to specify the process, which can highlight the spillovers effect among different technologies from a sector angle. In the results, we find that intrinsic mechanism in the model results in the interplay among abatement coefficient, spillover factor and the growing rate of the emission etc. Collaborative relationships between variables are discussed as well. [ABSTRACT FROM AUTHOR]

A conceptually based taxonomy of 22 distinct forms of e-shopping vehicles is proposed. A modification of the UTAUT and UTAUT2 models is introduced to explain how vehicles are interrelated in regard to consumer reliance upon them for their e-purchasing. A survey of over 1,000 millennial university students, 697 Chinese and 306 US, revealed strong support in both samples for the hypothesized six dimensional pattern underlying consumer vehicular reliance. Further, differences between Chinese and US samples lay not in the nature of the dimensions, but rather in the strength of reliance upon each dimension. Thus, the study demonstrates the utility of the concept/measure of shopper vehicular reliance, VPR (Vehicle Purchasing Reliance) for both practitioners and scientists. In cross-national comparisons, observed differences between samples in strength of reliance supported four of five hypotheses predicated on previously established national distinctions a) in trust and b) in the cultural value of individualism-collectivism. [ABSTRACT FROM AUTHOR]

This study analyzes productive efficiency in relation to CO 2 emissions using a unique dataset of 562 Chinese manufacturing firms for the period from 2005 to 2009. We develop a directional distance function approach to identify technical innovators in the area of CO 2 emissions. The results indicate that a large number of technical innovators are observed in the textile, paper, steel, and computer industries. Furthermore, there are clearly different trends in productivity change and corporate performance across industries and provinces. This result implies that policy makers need to consider industrial and regional characteristics to develop effective policies that conserve energy and reduce CO 2 emissions. [ABSTRACT FROM AUTHOR]

Rice-aquatic animal integrated systems can alleviate food and environmental insecurity. Understanding how this practice is adopted by farmers is significant for promoting the development of the agricultural industry. Given the information inadequacy and information frictions in agricultural society in China, farmers are susceptible to the behaviors of their neighbors through social interaction. This paper defines neighboring groups that are both spatially and socially connected to identify whether neighbors influence farmers' adoption of rice-crayfish integrated systems using a sample in the lower and middle reaches of the Yangtze River in China. The findings reveal that for every one-unit increase in neighbors' adoption behavior, the probability of farmers' adoption increases by 0.367 units. Therefore, our results may have great value for policymakers seeking to take advantage of the neighborhood effect to complement formal extension systems and promote the developments of China's ecological agriculture.

Purpose – China is the world’s largest user market for digital technologies and experiencing unprecedented rates of rural-urban migration set to create the world’s first “urban billion”. This is an important context for studying nuanced adoption behaviours that define a digital divide. Large-scale studies are required to determine what behaviours exist in such populations, but can offer limited ability to draw inferences about why. The purpose of this paper is to report a large-scale study inside China that probes a nuanced “digital divide” behaviour: consumer demographics indicating ability to pay by electronic means but behaviour suggesting lack of willingness to do so, and extends current demographics to help explain this. Design/methodology/approach – The authors report trans-national access to commercial “Big Data” inside China capturing the demographics and consumption of millions of consumers across a wide range of physical and digital market channels. Focusing on one urban location we combine traditional demographics with a new measure that reflecting migration: “Distance from Home”, and use data-mining techniques to develop a model that predicts use behaviour. Findings – Use behaviour is predictable. Most use is explained by value of the transaction. “Distance from Home” is more predictive of technology use than traditional demographics. Research limitations/implications – Results suggest traditional demographics are insufficient to explain “why” use/non-use occurs and hence an insufficient basis to formulate and target government policy. Originality/value – The authors understand this to be the first large-scale trans-national study of use/non-use of digital channels within China, and the first study of the impact of distance on ICT adoption. [ABSTRACT FROM AUTHOR]

There is a significant divide in financial accessibility between urban and rural areas in China. This gap can in part be mitigated by diffusion of existing technology innovations including mobile banking. A binary probit model was used to estimate the impact of three information dissemination channels and the availability of financial services on the adoption of mobile banking by rural residents in six provinces of China. Results indicate mass and interpersonal communication channels have a greater impact than those organizational. Residents with a local banking facility and those using a state-owned bank, females, and those younger and more educated, proficient with mobile devices, working other than in agriculture, and living farther from the nearest road have a higher probability of adoption. Adoption is inversely related to level of regional financial development. To develop mobile banking in rural areas, this paper suggests making use of more diversified communication channels to promote mobile banking, better tailoring mobile banking for rural users, and targeting promotion. Policy should be considered that helps mitigate constraints on the availability of financial infrastructure and financial products in the rural financial environment. • Mobile banking has promise as a means to help increase financial accessibility in rural areas in China. • Mass and interpersonal communication channels are more effective than communications direct from financial institutions. • Use of multiple targeted communication channels will increase rate of adoption of mobile banking among rural Chinese. [ABSTRACT FROM AUTHOR]

Water saving irrigation (WSI) is promoted as a strategy to mitigate future water stresses by the Chinese government and irrigation scientists. However, the dissemination of WSI in China has been slow and little is understood with respect to why farmers adopt WSI or how WSI interacts with the social and institutional contexts in which it is embedded. By analyzing qualitative data from 37 semi-structured and 56 unstructured interviews across 13 villages in northwest China, this paper examines smallholder farmers' knowledge and perceptions of WSI, and how WSI interacts with farmer livelihood decision-making and extant systems of land and water management. The results show that smallholders' willingness to adopt and continuously use WSI was dampened by (1) a lack of communal capital and measures for conflict resolution, (2) a disconnect between the temporal demands of practicing WSI and the ways farmers prioritize different livelihood strategies, (3) misconceptions about WSI systems and how they work, (4) market risks, and (5) landownership structure and economies of scale. These results suggest that programs for promoting WSI must be holistic in nature and address smallholders' day-to-day problems. Understanding why WSI did not succeed in some places will help formulate policy interventions that avoid reproducing conflicts, risks, and technological malfunctions responsible for previous failure. [ABSTRACT FROM AUTHOR]

Drawing on the innovation diffusion theory and data from 236 Chinese small and medium-sized logistics service providers (SMLSPs), this study developed and tested a conceptual model for empirically examining the green and cost benefits of integration between cloud service providers and SMLSPs in the Chinese context. The study posits that the perceived green and cost benefits drive the need for cloud computing (CC) adoption by Chinese SMLSPs. The results indicate that Chinese SMLSPs are attracted by CC to reduce cost in a short term and to gain sustainability through green benefits in a long term. The study extends CC capabilities and enterprise integration literature in the context of logistics services. [ABSTRACT FROM AUTHOR]

In most countries e-Identity card adoption has had limited or little success. A notable exception to this is the case of Hong Kong. This article examines this phenomenon and contrasts it with the lackluster performance of this technology, in Europe in particular. It is suggested that several useful lessons can be learned from the Hong Kong experience and some possible directions for the future research into the nature and role of e-Identity cards are proposed. [ABSTRACT FROM PUBLISHER]

• A mobile platform of medical and senior care can provide one-stop services. • Perceived value has a positive effect on users' intention to adopt the platform. • Perceived service usefulness and service complementarity are benefit factors. • Perceived service fee and legal concerns are sacrifice factors. • Findings will facilitate the implementation of MPMSCs. A mobile platform of medical and senior care (MPMSC) is a platform that provides users with one-stop medical and senior care services. Although an MPMSC presents users with multiple benefits, there is insufficient understanding of the factors motivating users to adopt such new platforms. Focusing on the characteristics of an MPMSC, this study develops a research model based on the value-based adoption model and uses the partial least squares technique to analyze data collected from a sample of 215 potential users to validate its model. The results reveal that perceived value is a predictor in explaining users' intention to adopt an MPMSC; perceived service usefulness and perceived service complementarity positively impact perceived value; perceived service fee negatively impacts perceived value; legal concerns negatively impact users' adoption intention. These findings can enhance our understanding of the factors influencing the adoption of an MPMSC and facilitate the implementation of an MPMSC. [ABSTRACT FROM AUTHOR]