Age discrimination in the evaluation of job applicants

This study investigated the nature of age discrimination against older job applicants. One hundred fifty-six participants (102 students; 54 organization based) evaluated a hypothetical job applicant's (aged 33–66 years) work-related competences and likelihood of being hired. Applicant age affected hiring decisions for both samples where there was a preference for hiring applicants aged 42–48 years. Applicants at both the older and younger ends of the continuum were less likely to be hired, with the oldest applicants (over 54 years) being the least likely to be hired. Although the applicants' age negatively affected evaluations of their trainability and sociability, the effect of applicant age on hiring evaluations was not mediated by these work-related competencies, suggesting that age discrimination occurs via direct bias against older workers.

Individual differences in intention to fake job interviews: Personality, self-monitoring, and the theory of planned behaviour

When job applicants lie in job interviews, they can deprive a more honest candidate of a job and deprive an organisation of the best employees. To better understand job interview faking, the present study examined the effect of general dispositions and domain-specific beliefs on the intention to fake job interviews. A community sample of 313 participants completed measures of personality (i.e., extraversion, neuroticism, conscientiousness) and self-monitoring, and a domain-specific measure of beliefs about faking job interviews based on the theory of planned behaviour, which measured attitudes, subjective norms, and perceived behavioural control. Results indicated that the measure of attitudes was the strongest predictor of intention to fake. In line with the compatibility principle, the domain-specific measures based on the theory of planned behaviour correlated much more strongly with intentions to fake job interviews than did the general measures of personality or self-monitoring. Of the dispositional measures, lower conscientiousness, higher neuroticism, and higher self-monitoring was associated with greater intention to fake job interviews. The findings support a model whereby the effect of personality on intentions is partially mediated by domain-specific beliefs.

Extending double standards and stereotyping approaches to hiring older workers

This thesis examined factors underlying discrimination against older job applicants. Drawing upon stereotyping and double standards-based approaches to discrimination the thesis found that positive and negative aspects of the older worker stereotype can have cumulative effects on hiring decisions and may interact with job requirements to affect discrimination.

Extending technology acceptance model to the E-recruitment context in Iran

Using a sample of 332 job applicants in Iran, this study integrates Technology Acceptance Model (TAM) and signaling theory to explain factors influencing applicants' behavioral intentions to apply for jobs online. Of the two main constructs of TAM, perceived usefulness was found to have a significant impact on applicants' behavioral intentions, while perceived ease of use was not. Based on the signaling theory, impression of the organizational website appeared to create interests in organization as a potential employer; hence, prompt applicants to apply for jobs. These results extend our understanding of the online recruitment in different context and provide further insights with regard to possible effects of website features on applicants' attractions toward organizations operating in Iran.

Exploring factors driving social recruiting: the case of Australian organisations

This study identifies key factors driving the organizational adoption of Social Recruiting (SR) technologies, such as LinkedIn, Facebook, and Twitter. The Technology, Organization and Environment (TOE) framework, as an initial exploratory approach, is used to identify underlying factors of new technology adoption. Qualitative evidence collected from twelve Australian firms serves to specifically categorise key determinants of the organizational adoption of social recruiting technologies. It is found that, apart from several technology, organization and environment factors that significantly influence the organizational decision-making with reference to social recruiting, top management support is seen as imperative for successful adoption of recruiting technologies. Formalisation, comprehensiveness, and strategic orientation of organizational human resource departments are closely linked to adoption of social recruiting at the firm level. In addition, job applicants’ readiness and local success stories have driven firms to adopt social recruiting technologies. The study extends and modifies the TOE model to provide the theoretical foundations of social recruiting in the context of Australian organizations and help human resource professionals and practitioners to gain a better understanding of key drivers of organizational social recruiting.

The job strain model is enough for managers : no augmentation needed

This paper reports on the results of a study aimed at identifying the relative influence of generic and job-specific stressors experienced by a cohort of Australian managers. The results of a regression analysis revealed that both the generic components of the job strain model (JSM) and job-specific stressors were predictive of the strain experienced by participants. However, when looking at the total amount of variance that is explained by the predictor variables, the combined influence of job demand, job control and social support contributed 98 per cent of the explained variance in job satisfaction and 90 per cent of the variance in psychological health. The large amount of variance explained by the JSM suggests that this model provides an accurate account of the work characteristics that contribute to the strain experienced by managers and no augmentation is needed.

Dynamic parallel job scheduling in multi-cluster computing systems

Job scheduling is a complex problem, yet it is fundamental to sustaining and improving the performance of parallel processing systems. In this paper, we address an on-line parallel job scheduling problem in heterogeneous multi-cluster computing systems. We propose a new space-sharing scheduling policy and show that it performs substantially better than the conventional policies.

Preemptive job scheduling policy for distributively-owned workstation clusters

Cluster computing has come to prominence as a cost-effective parallel processing tool for solving many complex computational problems. In this paper, we propose a new timesharing opportunistic scheduling policy to support remote batch job executions over networked clusters to be used in conjunction with the Condor Up-Down scheduling algorithm. We show that timesharing approaches can be used in an opportunistic setting to improve both mean job slowdowns and mean response times with little or no throughput reduction. We also show that the proposed algorithm achieves significant improvement in job response time and slowdown as compared to exiting approaches and some recently proposed new approaches.

What women can expect when undertaking expatriate assignments in Australia

Despite a numerical equivalence with men, women in Australia have not experienced parity with males in terms of opportunity. They are continually under-represented among Australia's elite (Higley, Deacon, & Smart, 1979). In general, women employees, particularly those born overseas, face more difficulties in gaining access to, and advancing within, the managerial workforce than are men. Further, obtaining a managerial job in the first place is often the biggest obstacle facing women from a non-English-speaking background (NESS) even when their experience and educational levels are comparable to those of English speaking applicants. This paper sheds light on the experience of women expatriates in Australia and the factors that inhibit and facilitate their entry and advancement into managerial positions. Recommendations for organisations sending women on expatriate assignments to Australia are offered.

Employer satisfaction, job-match and future hiring intentions for employees with a disability

This paper is based on survey responses from 656 employers who used disability employment services to employ someone with a disability. Relationships between employer satisfaction and employer perceptions of job-match and future hiring intentions toward people who have a disability are outlined and discussed. Employers' perceptions of the job-match process were found to be an important determinant of their perceptions of work performance and employer satisfaction. Comparative ratings on employer satisfaction for employees with and without a disability were seen as an important indicator of future hiring intentions toward people with a disability. Findings reported in this paper provide important information on which to base strategies for improving future employment outcomes for people who have a disability.

Fault-tolerant dynamic job scheduling policy

In this paper, we propose a scalable and fault-tolerant job scheduling framework for grid computing. The proposed framework loosely couples a dynamic job scheduling approach with the hybrid replications approach to schedule jobs efficiently while at the same time providing fault-tolerance. The novelty of the proposed framework is that it uses passive replication approach under high system load and active replication approach under low system loads. The switch between these two replication methods is also done dynamically and transparently.

Autonomic job scheduling policy for grid computing

Autonomic middleware services will play an important role in the management of resources and distributed workloads in emerging distributed computing environments. In this paper, we address the problem of autonomic grid resource scheduling and propose a scheduling infrastructure that is capable of self-management in the face of dynamic behavior inherent to this kind of systems.

Job scheduling policy for high throughput grid computing

The growing computational power requirements of grand challenge applications has promoted the need for merging high throughput computing and grid computing principles to harness computational resources distributed across multiple organisations. This paper identifies the issues in resource management and scheduling in the emerging high throughput grid computing context. We also survey and study the performance of several space-sharing and time-sharing opportunistic scheduling policies that have been developed for high throughput computing.

Robust parallel job scheduling infrastructure for service-oriented grid computing systems

Recent trends in grid computing development is moving towards a service-oriented architecture. With the momentum gaining for the service-oriented grid computing systems, the issue of deploying support for integrated scheduling and fault-tolerant approaches becomes paramount importance. To this end, we propose a scalable framework that loosely couples the dynamic job scheduling approach with the hybrid replications approach to schedule jobs efficiently while at the same time providing fault-tolerance. The novelty of the proposed framework is that it uses passive replication approach under high system load and active replication approach under low system loads. The switch between these two replication methods is also done dynamically and transparently.