Understanding consumer intention to participate in online travel community and effects on consumer intention to purchase travel online and WOM: An integration of innovation diffusion theory and TAM with trust

The growing presence of online travel communities is leading to great developments in the travel industry. Grounded in the innovation diffusion theory (IDT) and the technology acceptance model (TAM), this paper seek to develop and empirically test a comprehensive framework to examine the antecedents of customers' intention to participate in online travel community. Using SEM to analyse the data collected from a sample of 495 members, the results indicate that innovation diffusion theory and TAM with trust provide an appropriate model for explaining consumers' intention to participate; this intention in turn has a positive influence on intention to purchase and positive WOM. Furthermore, religiosity plays an important role in understanding consumers' behavioural intention. The results offer important implications for online service provider and are likely to stimulate further research in the area of online travel community.     

Understanding e-learning continuance intention in the workplace: A self-determination theory perspective

Based on self-determination theory (SDT), this study proposed an extended Technology Acceptance Model (TAM) in the context of e-learning service. In the proposed model perceived usefulness, perceived playfulness and perceived ease of use are predicted to be influenced by perceived autonomy support, perceived competence and perceived relatedness. Although TAM has received fairly extensive attention in prior research, this study is one of the first to examine the effects of motivational factors affecting TAM constructs. The results show that applying SDT to e-learning in a work setting can be useful for predicting continuance intention.     

ISM Interviews…Peter F Drucker

Web sites are becoming an important gateway for churches to attract new members and communicate with the membership. Research has focused on developing guidelines for web site design in the for-profit world, but little has been said about non-profit web sites. This study uses an established instrument to elicit over 1100 responses from parishioners who evaluated a random sample of 250 church web sites. The results provide some guidance about which features are most valued by church members.     

肿瘤相关巨噬细胞与肿瘤干细胞相互作用对肿瘤化疗耐药性影响的研究进展

肿瘤细胞对化疗药物产生耐药性是肿瘤化疗治疗失败的主要原因。目前研究普遍认为,在肿瘤治疗过程中,肿瘤相关巨噬细胞(tumor-associated macrophage,TAM)可与肿瘤干细胞(cancer stem cell,CSC)相互作用促进化疗耐药性的产生,即CSC能刺激TAM释放细胞因子,从而降低化疗对CSC的作用。本文就近年来二者相互作用对肿瘤化疗耐药性影响的相关研究进展作一综述。     

搜索引擎用户使用意向之探讨

本文简单介绍了搜索引擎,用科技接受模型、任务技术匹配模型和创新决策过程模式,分析了影响用户使用搜索引擎的因素。     

自相似排队网络中的TAM方法

TAM方法通常用来求解自相似排队网络流的统计特征量。该文介绍了TAM方法的应用原理，并对传统的U-TAM方法加以推广，得到了D-TAM方法，然后以常见的M／P／l模型为例，审述了D—TAM方法的应用。     

基于TAM 的移动支付采纳影响因素研究

This study uses TAM to examine the factors that influence the adoption of mobile payment in China. The proposed model is empirically evaluated based on TAM by using data collected from 370 users concerning their perceptions of mobile payment. The findings indicate that perceived usefulness and perceived ease of use have significant effects on users’ attitude. Furthermore, network externality is also an important factor influencing the adoption. But customers have weak perceptions of the risks of M payment. The results may provide further insights into mobile payment strategies.     

Predicting secondary school teachers’ acceptance and use of a digital learning environment: A cross-sectional study

In this study, secondary school teachers’ acceptance of a digital learning environment (DLE) was investigated. Questionnaires were taken on three times (T1/T2/T3) during the same school year, with the Unified Theory of Acceptance and Use of Technology (UTAUT) as theoretical framework. Next to questionnaires, user-logs were collected during the entire school year. A total of 72 teachers completed a questionnaire on at least one occasion: 64 teachers responded at T1, 41 at T2, and 55 at T3. We first investigated which factors influence teachers’ acceptance of a DLE. The main predictors of DLE acceptance were performance expectancy and social influence by superiors to use the DLE. Effort expectancy and facilitating conditions were of minor importance. We then investigated how well the amount of final observed use could be predicted, and found that at T1 about one third, at T2 about one fourth and at T3 about half of the variance in observed use was predicted by attitude, behavioral intention and self-reported frequency of use. Our study showed that to maximize use of a DLE, its usefulness should be demonstrated, while school boards or principals should strongly encourage teachers to (start to) use the DLE.     

I,Chatbot: Modeling the determinants of users’ satisfaction and continuance intention of AI-powered service agents

Chatbots are mainly text-based conversational agents that simulate conversations with users. This study aims to investigate drivers of users’ satisfaction and continuance intention toward chatbot-based customer service. We propose an analytical framework combining the expectation-confirmation model (ECM), information system success (ISS) model, TAM, and the need for interaction with a service employee (NFI-SE). Analysis of data collected from 370 actual chatbot users reveals that information quality (IQ) and service quality (SQ) positively influence consumers’ satisfaction, and that perceived enjoyment (PE), perceived usefulness (PU), and perceived ease of use (PEOU) are significant predictors of continuance intention (CI). The need for interaction with an employee moderates the effects of PEOU and PU on satisfaction. The findings also revealed that satisfaction with chatbot e-service is a strong determinant and predictor of users’ CI toward chatbots. Thus, chatbots should enhance their information and service quality to increase users’ satisfaction. The findings imply that digital technologies services, such as chatbots, could be combined with human service employees to satisfy digital users.     

Antecedents and consequences of e‐learning acceptance

Based on the technology acceptance model (TAM), this study uses the framework of the extended TAM to examine the antecedents and consequences for employees' acceptance of the e‐learning system within financial services organizations. The total of 328 useable responses collected from eight international or domestic financial services companies in Taiwan were tested against the model using structural equation modelling (SEM). The main research results are summarized as follows in terms of the antecedents of e‐learning acceptance and its impact on employees' perceived performance. Four types of determinants are demonstrated: individual factors, system factors, social factors and network externality factor. Finally, this study proposes relevant suggestions for practitioners and future researchers.