The spread and application of enterprise information systems (EISs) has provided scholars and managers with a new perspective to enhance the work–family enrichment. Based on the work–family enrichment theory, this research aims to examine the ability of female employees to enhance their work–family enrichment by applying the resources accumulated through the use of EISs by combining the technology acceptance model with the DeLone & McLean Information Systems Success Model. The findings based on a survey of 823 full-time female employees in China indicated that the information systems quality factors (including information quality, system quality, and service quality) were positively associated with female employees’ work–family enrichment. In addition, the chained mediating effect of perceived ease of use and perceived usefulness was examined. The results can help female employees to perform positively in both work and family spheres and provide positive support for the promotion of the social fertility policies.

Technological interventions are increasingly popular methods of targeting and preventing loneliness in older adults. Research has identified various factors that influence the willingness and propensity of older adults to integrate technology into their social lives and the ways in which this may enhance their social connectedness. Given prevalence rates and negative outcomes associated with loneliness for this population, further research is warranted to clarify the mechanisms through which technological interventions may decrease loneliness. This study aimed to better understand the perspectives of older adults on the role of technology in their social relationships in later life. Four focus groups were conducted with 27 older adults, aged 65–80 years. Transcripts were analysed using thematic analysis, and results were validated via written participant feedback. Participants reported technology as one of many tools used to maintain their social relationships. Their choice to use technology for social interaction was influenced by their estimation of effort required, likely quality of the interaction, and the privacy and security provided. These factors were the same as those that influenced decisions to use other methods (e.g. face-to-face meetings). Based on the results, we recommend that loneliness interventions should be technology-agnostic and multifaceted, providing a wide range of tools that recognise the technological competencies of older adults and supporting different interaction types to meet the preferences of the individual.

Recently, internet usage among elderly adults has been increasing and becoming more mainstream; with the ageing population in Taiwan, concerns over health are on the rise, and this is directly related to the products that people eat. The main objectives of this study were to develop an integrated extensibility model incorporating the technology acceptance model and to investigate the impact of health consciousness on elderly adults’ acceptance of technology in relation to traceability information websites in Taiwan. This study used structural equation modelling to analyse the data. The results revealed that elderly people with high health consciousness and high perceived usefulness had more positive attitudes towards products than those with low health consciousness and low perceived usefulness, and those with high health consciousness and high perceived ease of use had more positive attitudes than those with low health consciousness and low perceived ease of use in relation to the agricultural product traceability system.

The development of artificial intelligence has created new opportunities and challenges in industries. The competition between robots and humans has elicited extensive attention among legal researchers. In this exploratory study, we addressed issues regarding the introduction of robots to the practice of legal service through a semistructured interviews with lawyers, judges, artificial intelligence experts, and potential clients. An extended robot lawyer technology acceptance model with five facets and 11 elements is proposed in this study. This model highlights two dimensions: ‘legal use’ and ‘perception of trust.’ In summary, this study provides new specific implications and exhibits three characteristics, namely, derivative, macroscopic, and instructive, in the legal services with artificial intelligence. In addition, artificial intelligence robot lawyers are being developed with some of the abilities necessary to substitute for human beings. Nevertheless, working with human lawyers is imperative to produce benefits from this type of reciprocity.

The aim of this study was to provide adaptive assistance to improve the listening comprehension of eleventh grade students. This study developed a video-based language learning system for handheld devices, using three levels of caption filtering adapted to student needs. Elementary level captioning excluded 220 English sight words (see Section 1 for definition), but provided captions and Chinese translations for the remaining words. Intermediate level excluded 1000 high frequency English words, but provided captions for the remaining words, and 2200 high frequency English words were excluded at the high intermediate caption filtering level. The result was that the viewers were provided with captions for words that were likely to be unfamiliar to them. Participants in the experimental group were assigned bilingual caption modes according to their pre-test results, while those in the control group were assigned standard caption modes. Our results indicate that students in the experimental group preferred adaptive captions, enjoyed the exercises more, and gained greater intrinsic motivation compared to those in the control group. The results confirm that different students require different quantities of information to balance listening comprehension and indicate that the proposed adaptive caption filtering approach may be an effective way to improve the skills required for listening proficiency.

English as a Second Language (ESL) teachers in Malaysia, as in many other countries, are anxious to exploit the potential of Information and Communication Technologies (ICT) to enhance the teaching and learning process. Given the increasing pressure exerted by technological developments on language education, it is important to understand the underlying factors behind teachers’ decisions regarding ICT. Egbert et al. (2002) state that few investigations have been conducted on computer-using language teachers’ development. According to BECTA (1999) the learning potential of ICT is not being realised, because many teachers are not familiar with ICT and do not use it in their teaching. This study investigates the present use of ICT among ESL technical school teachers in teaching, factors that affect the use of ICT and perceptions of their skills in ICT. The theory that frames this study is drawn from theories of learning. The model adopted is Davis’ Technology Acceptance Model (TAM) (1989) which provides a basis for determining ICT attitudes and factors affecting the usage of ICT in teaching. Data was collected via a questionnaire survey of ESL technical school teachers in Malaysia, and followed by semi-structured interviews with them. The questionnaire data was analysed using descriptive statistics and later triangulated with the interviews. The findings will be presented and elaborated upon in this paper.