Under the background of the constant development of sharing economy and constant upgrade of Internet technologies, various knowledge sharing platforms have emerged in recent years. As a new form for sharing economy, knowledge sharing platforms have made great strides, thus, providing new channels of knowledge acquisition, knowledge sharing and individual knowledge storage for users. Nevertheless, knowledge sharing platforms are still faced with problems, such as uneven product quality (Content quality) and poor user experience. Therefore, how to maintain consumers' continued use intention without impairing consumer satisfaction has obviously become an issue of great concern on the development path of knowledge sharing platforms. Based on the expectation confirmation theory (ECT) and information system (IS) success model, and integrating major characteristics of knowledge sharing platforms, the conceptual models and hypotheses influencing consumers' continued use intention of knowledge sharing platforms are built to study primary factors affecting consumers' continued use intention. Through online and offline questionnaires, 428 copies were collected online, and 150 copies were collected offline, with a total of 578 copies recovered. We deleted some questionnaires with untrue and contradictory answers, because these interviewees might not have carefully read. A questionnaire is conducted with 512 valid copies collected from respondents. At the same time, the structural equation model (SEM) is used to verify and analyze hypotheses. Results show that various variables have a direct or indirect influence on consumers' continued our intention. Meanwhile, it is observed that perceived usefulness and satisfaction degree have a significant influence on continued use intention of knowledge sharing platforms. The higher the satisfaction degree is, the more likely the consumers will continue using knowledge sharing platforms. The expectation confirmation degree exerts an indirect influence on consumers' continued use intention of knowledge sharing platforms via perceived usefulness. The IS success model can also significantly influence consumers' satisfaction degree of knowledge sharing platforms. Additionally, perceived usefulness is observed to have the strongest influence on consumers' continued use intention of knowledge sharing platforms. According to the above research findings, knowledge sharing platforms should strengthen their content quality control, ensure the consistency between service quality and payment, and improve the platform quality. To sum up, this research can provide theoretical bases for sustainable development and follow-up research of the knowledge sharing platform industry.
The daunting global challenges saddling polities and governments alike have resultantly created a situation whereby governments and corporate civil society have inadvertently reneged on delivering public good and services to citizens. In ensuring and strengthening a public–private actor synergy, with particular emphasis on leveraging acquired knowledge and skills of diaspora‐based students, social entrepreneurship activities could be harnessed to provide sustainable remedies to social challenges such as unemployment, famine amongst others by utilizing social entrepreneurship as a tool. Using the theory of planned behaviour as a theoretical framework, the study elicited data from 322 respondents to empirically investigate determinants of social entrepreneurship intentions of Ghanaian students, with the moderating role of institutional support. Study results revealed that sense of social responsibility and service learning have significant relationship with social entrepreneurship intention. However, social volunteering experience had no significant relationship. Moreover, whereas attitude to social entrepreneurship intention demonstrated a positive relationship, institutional support as a moderator was also revealed to influence the relationship between attitude and social entrepreneurship intention. From the study findings, we discourse on the implications for social entrepreneurship in Ghana to policy makers and stakeholders.
With the continuous expansion of sub-ecological problems, it is the question of how to effectively reduce environmental pollution and improve energy efficiency that has become a major challenge. At the same time, the energy consumption of family homes accounts for a large proportion, and whether smart homes can become a part of sustainable development is getting more and more attention. Although there are hundreds of smart home products and many investors on the market, consumers are relatively less accepting of this technology. How to make consumers adopt and continue to use has become a key issue in the development of smart homes. From the perspective of consumers, this study aims first to explore the relevant factors that affect the sustainable use of smart homes, and second empirically analyze the hypothetical model by using structural equation modeling. The empirical analysis results are based on the sample data of 488 Chinese respondents with experience in smart home use. The results showed that the service quality and perceived usefulness of smart home services positively impact users’ degree of satisfaction, and a higher degree of satisfaction, in turn, contributes to users’ formation of habits. Users’ desire to continuously use smart home services is influenced by perceived usefulness, degree of satisfaction, and habit; among them, habit is the key factor affecting users’ willingness. These findings expand our understanding of users’ desire to continuously use smart homes and provide theoretical support for the sustainable development of the smart home industry.
In recent years, electric vehicles have achieved rapid development. Intelligence is one of the important trends to promote the development of electric vehicles. As a result, autonomous driving system is becoming one of the core systems of electric vehicles. Considering that environmental perception is the basis of intelligent planning and safe decision-making for intelligent vehicles, this paper presents a survey of the existing perceptual methods in vehicles, especially 3D object detection, which guarantees the reliability and safety of vehicles. In this review, we first introduce the role of perceptual module in autonomous driving system and a relationship with other modules. Then, we classify and analyze the corresponding perception methods based on the different sensors. Finally, we compare the performance of the surveyed works on public datasets and discuss the possible future research interests.
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