Managing job applications online: integrating website informativeness and compatibility in theory of planned behaviour and technology acceptance model

Empirical Study on the Usage of Telemedicine by Rural and Urban Health Care Consumers in Taiwan: Integrating the Perspectives of Technology Acceptance Model and Theory of Planned Behavior

Introduction: The outbreak of the novel coronavirus disease-19 posed significant challenges globally, impacting various sectors and health care systems profoundly. In response, telemedicine has emerged as a vital solution to address health care demands and resource shortages. However, there is a lack of comprehensive research on telemedicine usage among health care consumers in urban and rural areas of Taiwan. Methods: This study aimed to investigate the usage, attitudes, and intentions of telemedicine utilization among health care consumers in Taiwan, integrating the Technology Acceptance Model and Theory of Planned Behavior. A cross-sectional study was conducted from April 2023 to May 2024, involving 1,053 participants who utilized telemedicine services. Structured questionnaires were used for data collection, and statistical analyses were performed using SPSS 21.0 software. Results: The results revealed significant disparities in telemedicine utilization between urban and rural areas, with urban residents exhibiting higher levels of perceived ease of use, perceived usefulness, attitude toward use, trust, and intention to use telemedicine. Regression analysis indicated a significant association between urban residence and male gender with telemedicine utilization, contrary to previous research findings. These disparities may stem from differences in health care accessibility and cultural norms prevalent in urban and rural areas. Conclusions: Further investigation into gender differences and interventions to promote telemedicine usage among females, particularly in urban areas, are recommended. This study provides valuable insights for future research and health care policy formulation.

Does electronic word-of-mouth influence e-recruitment adoption? A mediation analysis using the PLS-SEM approach

Purpose

E-recruiting has been a powerful tool for reaching the majority of job applicants around the world. Even though, previous literature has scarcely shed light on the factors responsible for the adoption of e-recruitment among job candidates. Originated from the technology acceptance model (TAM), this study aims to empirically examine the influence of online word-of-mouth in shaping job-seekers’ intentions for using e-recruitment websites.

Design/methodology/approach

A Google Docs-based online questionnaire was distributed via social media, LinkedIn and email to 740 participants, out of which 397 final responses were received. The partial least squares structural equation modeling using SmartPLS 3 was applied for evaluating the theoretical model.

Findings

This study empirically indicated that electronic word-of-mouth (eWOM) has a significant impact on perceived usefulness (PU), perceived ease of use (PEOU) and attitude. Whereas, PU and attitude fully mediate the relationship between eWOM and behavioral intentions (BI) of job-seekers towards e-recruitment.

Practical implications

This research contributes to the understanding of the relevance of eWOM in e-recruitment adoption. eWOM provides job-related information that plays a significant role in the usage of online recruitment systems such as LinkedIn, job portals and company websites. This study offered a valuable contribution to the existing body of literature on e-recruitment, developers and Web-based hiring service providers.

Originality/value

This investigation was the first attempt in the e-recruitment literature to explore the influence of eWOM on job-seekers’ intentions to adopt online recruitment platforms, including the mediating role of PU, PEOU and attitude in the association between eWOM and BI.