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All Journal The International Journal of Accounting and Business Society
Yusoff, Zetty Zahureen Mohd
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Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Environmental Science Social Sciences

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I.T. Skills Accountants: A Study on Job Ads Sari, Lidya Puspita; Suryani, Ani; Yusoff, Zetty Zahureen Mohd
The International Journal of Accounting and Business Society Vol. 30 No. 2 (2022): The International Journal of Accounting and Business Society
Publisher : Accounting Department,

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.21776/ijabs.2022.30.2.675

Abstract

Purpose—This study aims to identify the IT skills required for accounting staff, managers, and supervisor positions in the labour market and assist prospective accounting graduates in building the necessary skills to obtain the desired career. Design/methodology/approach—This study utilized the content analysis method to analyze 543 job advertisements from the Job Street website. The data was then tested using the Kruskal-Wallis test to determine the differences in the skill requirements between positions. Findings — The skills most in demand across all positions are those associated with Microsoft Office and accounting software. The difference in needs at staff, supervisor, and manager positions was confirmed.   Practical implications — This study informs prospective accounting graduates about the labour market’s skill requirements. It is expected to raise graduates’ awareness and understanding, allowing them to prepare the skills required for the expected jobs. Originality/value—This study contributes to the previous literature by identifying the intensity of the need for information technology skills in the current digital era through the percentage of needs. Framed in the signalling theory, the content analysis of the paper presents a comparison of skills required among different positions (staff, supervisor, manager). Keywords — accountant; content analysis; IT skills; job advertisement; data analytic; accounting software Paper type — empirical paper
Co-Authors Ani Suryani Sari, Lidya Puspita