Technology acceptance factors of e-commerce among young people: An integration of the technology acceptance model and theory of planned behavior

Exploring real estate blockchain adoption: An empirical study based on an integrated task-technology fit and technology acceptance model

Although many organizations have adopted blockchain technology (BCT) for efficiency and automation and users' adoption of BCT is becoming crucial for the companies, few studies have focused on the factors affecting the adoption of BCT in real estate sector. This study aims to assess the factors affecting the adoption of BCT in real estate by the lens of an extended Technology Acceptance Model (TAM) and Task-technology fit (TTF). This current study uses quantitative survey approach. Data were collected from 311 real sector buyers and sellers in China. Partial least square structural equation modeling (PLS-SEM) was used for data analysis. The study's findings indicate that attitude, perceived usefulness (PU) and data privacy and security (DPS) exerts highest influence in the proposed theoretical model. In addition, the findings also confirmed the significant impact of perceived ease of use (PEOU) on attitude, and TTF impact on PU and PEOU in adoption of BCT. Furthermore, the moderating impact of perceived compatibility (PC) on the relationship between TTF and PEOU was also confirmed. The study has useful practical implications for the real estate buyers and sellers that adoption of BCT improves efficiency, reduce transaction cost incur due to intermediaries, and enhance security system. Furthermore, the study suggests that automation achieved through BCT will facilitate customized agreements and improve process of title transfer.

Utilizing Ant Forest technology to foster sustainable behaviors: A novel approach towards environmental conservation

Amidst mounting environmental threats and exacerbated global risks from climate change, the urgency for sustainable behaviors has never been more critical, demanding concerted efforts to cultivate individual actions for environmental conservation. Ant Forest technology, a groundbreaking innovation for sustainable lifestyles, stands at the forefront of this battle, harnessing technological advancements to drive positive environmental impact and must be championed. This research investigates the dynamics of environmental conservation behaviors facilitated by Ant Forest Technology. Employing a theoretical framework integrating the Technology Acceptance Model (TAM) and Self-Determination Theory (SDT), the study explores the impact of autonomous and controlled motivation on attitudes, intentions, and conservation behaviors. Furthermore, the research assesses the influence of knowledge disseminated through Ant Forest Technology on users' intentions and behavior toward conservation behaviors. The study utilized the partial least square structural equation modeling in its analysis. Findings reveal that both motivational factors and knowledge significantly shape users' engagement in conservation behaviors activities through perceived ease of use and usefulness. These insights contribute to the development of effective policies and interventions aimed at harnessing Ant Forest Technology as a powerful tool for fostering widespread environmental conservation behaviors.

Purchasing in the digital age: A meta-analytical perspective on trust, risk, security, and e-WOM in e-commerce

This comprehensive meta-analysis investigates the significant factors influencing consumer decision-making in e-commerce. Predominantly focusing on the parameters of trust, perceived risk, perceived security, and electronic word-of-mouth (e-WOM), this study provides insightful revelations on their integral roles in shaping e-commerce purchasing decisions. The findings demonstrate that trust, perceived risk, perceived security, and e-WOM significantly influence consumers' e-commerce purchasing decisions. Perceived Risk plays a substantial moderating role in the relationship between Trust and e-commerce purchasing decisions, amplifying the importance of managing and minimizing risk in online transactions to cultivate consumer trust. Contrastingly, the roles of Perceived Security and e-WOM do not hold the same moderating effect on the trust-purchasing decision nexus, underscoring the direct yet unmoderated influence these factors have on e-commerce purchasing behaviors. Furthermore, The research reveals no significant size effect difference among respondents from high-income and low-income countries or between general internet users and online shoppers concerning the impact of trust on e-commerce purchasing decisions. This intriguing finding suggests the universal importance of trust in the digital purchasing landscape, irrespective of socio-economic status or the degree of e-commerce engagement. This study thus sheds new light on the complexities of e-commerce decision-making processes. It offers valuable insights for businesses aiming to enhance consumer trust and engagement in the expanding digital marketplace.

Decoding the trends and the emerging research directions of E-commerce and tourism in the light of Resource Dependence Theory: A bibliometric analysis

E-commerce and tourism have all seen a lot of growth and development recently in both business and academia. The tourism sector has significantly changed because of the growth of e-commerce platforms, as more and more consumers buy their rooms and tickets online. The academics conducted further research to understand the impact of e-commerce platforms on the tourism industry, leading to the development of these two specific fields' body of literature. A bibliometric review was carried out to draw the trends of the research conducted to date in the field of e-commerce and tourism. Thus, it is possible to have a general overview of the literature for academics to intent to conducting future research. Employing bibliometric analysis with Biblimetrix software on 456 publications from the Web of Science database covering the years from 2000 to 2022, this study identifies predominant themes and research trends in the field. The terms "e-commerce" and "tourism" were used as keywords. During the analysis, six research questions were answered and results were combined with Resource Dependence Theory. Australia and China which are the first two countries in terms of citations. China is the outstanding country for author collaborations. Co-citation network analysis identified four clusters, namely management, model, satisfaction, and quality. Publications with keyword "communication", "enterprises", "application" and "rural" are in a decrease after 2015. Finally, future research directions were proposed.

Determinants of Continuous Usage Intention in Community Group Buying Platform in China: Based on the Information System Success Model and the Expanded Technology Acceptance Model

Community group buying is a new retail model with broad development prospects. The community group buying model in China has brought obvious social and economic benefits. However, the continuous usage rate on some community group buying platforms is relatively low. Consumers' continuous usage intentions are closely related to the sustainable development of community group buying platforms. Therefore, this study integrates the information system success model (D&M model) and the expanded technology acceptance model (TAM) to construct a research model that explores the factors influencing consumers' continuous usage intentions from both the platform's and consumers' perspectives. The survey data involving 418 respondents who used community group buying platforms were developed and analyzed for structural equation model (SEM) testing. The results show the following: (1) Perceived usefulness, perceived ease of use, service quality, perceived trust, expectation confirmation, and subjective norms significantly affect continuous usage intention. (2) Subjective norms are significantly related to continuous usage intention. Perceived usefulness, perceived ease of use, service quality, perceived trust, and expectation confirmation indirectly affect continuous usage intention through user satisfaction. This research provides a new perspective for the theoretical research of community group buying and helps to promote the sustainable development of community group buying platforms in management practice.