ATTRIBUTES UTILISED BY ACCOUNTANTS AND IT SPECIALISTS IN IDENTIFYING EMPLOYERS OF CHOICE: A CROSS-OCCUPATIONAL simile IN SELECTED ORGANISATIONS IN THE BUFFALO CITY METROPOLIS Trust Kabungaidze University of fortification Hare, South Africa ABSTRACT Due to competition for scarce skills, attraction and retentivity of experience workers is probably the biggest challenge in piece expectant management today. From recent studies on employee retention, employers seem to know the splendor of noesis workers yet they still find difficulties in predicting the future day needs of these mobile knowledge workers. It is imperative for organisations to have knowledge of these attributes in order to improve the attraction and retention of knowledge workers. This research aims to identify attributes that are utilised by Accountants and IT specialists when identifying employers of choice. development quantitative research design, self administered questionnaires are going to be distributed to a sample of respondents in the Banking sector and Tertiary institutions. A purposive sampling procedure is going to be utilised. The data will be subjected to a number of statistical outline including factors analysis and one way ANOVA.
From preliminary findings, studies reveal that knowledge workers place great importance on intrinsic factors when identifying employers of choice. intrinsical factors are also influential in decisions to stay or leave the organisation. Market opportunities are also a operative factor in such decisions, regardless of current levels of affectional commitment. KEY WORDS: Knowledge workers, Employers of choice, Scarce skills, Competition for talent induction In todays business climate where maturement is largely a product of creative and technological advancements, human capital is one of a companys almost valuable assets. To obtain a competitive advantage, companies must attract, retain, and lock away talented employees. However, this task is becoming increasingly... If you want to get a full essay, order it on our website:
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