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Aims to review e‐recruiters' web site platform features and tools that are designed to facilitate job seekers' job applications. Also intends to elucidate the financial performance of two international and two Malaysian e‐recruiters.

Discusses and compares three international (Monster.com, CareerBuilder.com, and HotJobs.com) and three Malaysian (JobStreet.com, JobLinkAsia.com, and JobDB.com) e‐recruiters' backgrounds and initiatives. Presents the e‐recruiters' and online platforms, their current practices and overall strategies and financial performances.

Observes that the e‐recruiters' revenues are growing rapidly while profits are still elusive.

Presents an overview of e‐recruitment service providers, both international and malaysian.

The purpose of this paper is to examine the employed jobseekers' perceptions and behaviours of third‐party e‐recruitment technology adoption in Malaysia.

Using the validated modified Technology Acceptance Model (TAM) without the attitude construct as the core research framework and identifying Perceived Privacy Risk (PPR), Performance Expectancy (PE), Application‐Specific Self‐Efficacy (ASSE), and Perceived Stress (PS) as key external variables that form the research model for the study of e‐recruitment technology adoption.

The results identify few key determinants to this technology adoption. Moreover, the weak evidence of the behavioural intention indicates that e‐recruitment has not replaced some of the conventional recruitment methods.

The study implies that the third party e‐recruiters' policy makers and human resources practitioners need to improve the e‐recruitment system and services to attract these “passive” talented groups of candidates for employment.

The paper provides an insight for human resources practitioners on the effective use of third‐party e‐recruitment service provider and the strategy to attract employed jobseekers for employment.

This study aims at demonstrating how social media shape the recruitment and selection processes of individuals in developing countries. It further explores the impacts of social media on business productivity, cost efficiency, widening of search, less employee turnover and competitive advantage mediated by adopting e-recruitment processes. This research adopts social network theory to discuss the findings and highlight the new mechanisms that legitimise business manipulation in e-recruitment process by exploring the usage of social media.

Secondary data based on literature review is triangulated with 37 semi-structured qualitative interviews with managerial and non-managerial members of staff.

The findings show that e-recruitment has immense advantages to businesses. However, the authors also consider the dark side of social media and e-recruitment process by considering social network theory as a manipulation tool in organisations of developing countries.

Having adopted the social network theory, this research highlights the new mechanisms that legitimise business manipulation in e-recruitment process. Thus, it demonstrates technological advancements that reshape the dynamics of social networks and recruitment processes.

The purpose of this paper is to develop and validate an empirical model examining the job seekers’ perception about information quality of corporate employment websites and its impact on their attitude toward the websites through perceived playfulness and usefulness. Furthermore, the study also examines the job seekers’ e-trust as condition under which these mechanisms generate website attitude.

A sample of 385 active job seekers was selected through systematic random sampling. A web-based questionnaire was used to elicit responses for the study. Structural equation modeling was used to validate the proposed model.

Results indicate that the information quality dimensions positively influence perceived playfulness and perceived usefulness, which in turn evoke the website attitude. Furthermore, e-trust was found to moderate the above said relationships.

The study contribution lies in an empirical validation of a model showing the mechanisms and the condition through which the relationship exists between perceived information quality of e-recruitment websites and job seekers’ website attitude, and thus responds to the call for additional research that generalizes the influence of information characteristics of websites on job seekers’ behavioral outcomes.

Human resource managers are adopting AI technology for conducting various tasks of human resource management, starting from manpower planning till employee exit. AI technology is prominently used for talent acquisition in organizations. This research investigates the adoption of AI technology for talent acquisition.

This study employs Technology-Organization-Environment (TOE) and Task-Technology-Fit (TTF) framework and proposes a model to explore the adoption of AI technology for talent acquisition. The survey was conducted among the 562 human resource managers and talent acquisition managers with a structured questionnaire. The analysis of data was completed using PLS-SEM.

This research reveals that cost-effectiveness, relative advantage, top management support, HR readiness, competitive pressure and support from AI vendors positively affect AI technology adoption for talent acquisition. Security and privacy issues negatively influence the adoption of AI technology. It is found that task and technology characteristics influence the task technology fit of AI technology for talent acquisition. Adoption and task technology fit of AI technology influence the actual usage of AI technology for talent acquisition. It is revealed that stickiness to traditional talent acquisition methods negatively moderates the association between adoption and actual usage of AI technology for talent acquisition. The proposed model was empirically validated and revealed the predictors of adoption and actual usage of AI technology for talent acquisition.

This paper provides the predictors of the adoption of AI technology for talent acquisition, which is emerging extensively in the human resource domain. It provides vital insights to the human resource managers to benchmark AI technology required for talent acquisition. Marketers can develop their marketing plan considering the factors of adoption. It would help designers to understand the factors of adoption and design the AI technology algorithms and applications for talent acquisition. It contributes to advance the literature of technology adoption by interweaving it with the human resource domain literature on talent acquisition.

This research uniquely validates the model for the adoption of AI technology for talent acquisition using the TOE and TTF framework. It reveals the factors influencing the adoption and actual usage of AI technology for talent acquisition.

Grounded in the extended technology acceptance model and dual-process theory, the purpose of this paper is to develop a research model to examine the impact of company-dependent (e.g. recruitment web sites) and company-independent (e.g. social influences) information sources on job seeker perceptions of organizational attractiveness.

Utilizing data collected from 193 participants in Taiwan, various relationships in the research model are tested using the partial least squares approach.

The results indicated that job seeker beliefs (perceived usefulness and perceived ease of use) of recruitment web sites and social influence factors (informational and normative social influences) are important antecedents of organizational attractiveness. Furthermore, system quality affects perceived ease of use, while information quality and service quality influence both perceived ease of use and perceived usefulness of recruitment web sites.

Organizations need to put time and effort into ensuring that job seekers are satisfied with the information and service quality of recruitment web sites, since these two service-oriented web site features can enhance job seeker perceptions of organizational attractiveness. Additionally, perhaps the recruitment web sites can add links designed specifically for the social influencers such as parents, significant others, or teachers.

The empirical approach is novel to the recruitment literature, and this study demonstrates its viability in providing a more comprehensive examination of the role of recruitment-related information sources for organizational attractiveness perceptions. These contributions also have practical implications for organizations: understanding how various recruitment-related information sources are likely to affect job seeker attraction and application decisions may improve organizational recruitment effectiveness by building a well-designed recruitment web site and positive word of mouth from existing employees.

This study aims to determine the influence of candidate employees' social media accounts (SMAs) on human resource (HR) professionals' hiring decisions as a job application reference in the tourism industry.

Using a qualitative approach, semi-structured interviews were conducted in tourism businesses, such as hotels, travel agencies, restaurants, bars, and ground-handling service companies. In-depth, open-ended interviews with 16 questions were conducted to gather data face to face between October 15 and December 20, 2021, with 38 HR professionals. The research questions were analyzed using thematic analysis and discussed under three main themes.

The findings of this study showed that HR managers in the tourism industry generally prefer to examine candidates' SMAs rather than traditional references because they can quickly and cheaply screen many applicants.

Social media (SM) is increasingly used as a crucial channel in recruitment within organizations. This paper contributes by filling a gap in HR management, which empirical studies on the influence of job applicant's SMAs on recruiters' hiring decisions have been limited so far.

Higher learning institutions (HLIs) need to have quality service facilities to achieve customer satisfaction and positive word of mouth (WoM). The purpose of this study is to assess customer satisfaction as a mediator of service facility and WoM in the context of Tanzania's HLIs.

A mixed-methods approach was used to achieve the study objectives. Stratified and simple random sampling techniques were adopted to obtain the names of 201 students in HLIs in Tanzania. Confirmatory factor analysis (CFA) and structural equation modelling (SEM) were used to test the hypotheses.

The findings show that service facility is significantly associated with both WoM and customer satisfaction, while the relationship between customer satisfaction and WoM is significant. The study also found that customer satisfaction mediates the relationship between service facility and WoM.

The practitioners of HLIs can invest in improving service facility. Service quality is an important component that impacts WoM in HLIs. This is the most important element that impacts students' satisfaction and WoM in HLIs more than any other element of service quality.

This paper adds to the body of knowledge on the role of customer satisfaction in mediating the relationship between service facility and WoM in the context of Tanzania's HLIs. This study also presents a methodological contribution for a better understanding of the predictors of customer satisfaction in HLIs from the students' point of view.

The existing literature on the recruitment and selection process in Sub-Saharan African (SSA) context has not sufficiently revealed inherent challenges. The purpose of this paper is to examine managers’ perceptions of employee resourcing in Nigeria.

This paper uses qualitative data which were generated from the semi-structured interviews of 61 managers across the six geo-political zones of Nigeria.

The paper finds that in addition to the Federal Character Principle and the Quota System Policy, favouritism, ethnicity, age and gender discrimination, as well as corruption significantly inhibit the recruitment and selection process in Nigeria. Consequently, the ability to hire the best workers to improve competitiveness is also inadvertently hampered.

The paper shows that the institutional and cultural variations in SSA require a nuanced approach in the recruitment and selection process in order to enhance organisational competitiveness.

The institutional and cultural variations in SSA require a nuanced approach in the recruitment and selection process in order to enhanced organisational competitiveness.

This paper aims to investigate the barriers for adopting mobile banking services. From a methodological perspective, this paper seeks to build on two widely used models for technology adoption, the Technology Acceptance Model (TAM) and Innovation Diffusion Theory and to test a model that is better able to predict consumers' intention to use mobile banking.

A research model extends the TAM model by additionally examining the effects of compatibility, trust, credibility, perceived risk and cost on behavioural intention. The empirical approach was based on an online survey of 263 young people in Germany, undertaken during August/September 2009. The data were analysed using structural equation modelling.

The results of the study indicated that compatibility, perceived usefulness, and risk are significant indicators for the adoption of m‐banking services. Compatibility not only had a strong direct effect but was also identified as an important antecedent for perceived ease of use, perceived usefulness and credibility. Trust and credibility are crucial in reducing the overall perceived risk of m‐banking.

The results of this study have implications for researchers and practitioners. The proposed model explains 65 per cent of the variance in intention to adopt mobile phone banking, which is more than the 40 per cent of variance typically found in other studies using the TAM. This study provides a basis for further refinement of models to predict technology adoption, in particular the inclusion of compatibility as a predictor of behavioural intention. In terms of behavioural and demographic data, the study focuses on segments of individuals who are most likely to adopt m‐banking.