The role of electronic management in determining job management strategies: Evidence from travel agencies in Iraq

E-management has become a necessary requirement to provide for communities through offering services quickly, effectively and efficiently in the governmental and non-governmental institutions. This requires specific strategies for job management which are consistent with those developments. Hence,...

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Bibliographic Details
Main Author: Dijla Mahdi Mahmood
Format: Article
Language:English
Published: AfricaJournals 2020-04-01
Series:African Journal of Hospitality, Tourism and Leisure
Subjects:
Online Access:https://www.ajhtl.com/uploads/7/1/6/3/7163688/article_72_vol_9_2__2020_iraq.pdf
Description
Summary:E-management has become a necessary requirement to provide for communities through offering services quickly, effectively and efficiently in the governmental and non-governmental institutions. This requires specific strategies for job management which are consistent with those developments. Hence, the investment institutions should invest data in electronic management in achieving tasks for employees and the other beneficiaries of its services, and hence the problem that revolves around the answer to this question is: What is the role of Electronic Management in determining job management strategies? The research aim was to identify the role represented by the success factors in electronic management (strategic vision, senior management support, external pressures, high expectations of beneficiaries, technological change) in determining job management strategies. The researchers’ chose ten strategies applied in Iraqi state organizations represented by the Office of the Wasit Governorate, Wasit Traffic, and the Travel and Nationality Directorate in Wasit, which are all travel related agencies and bodies. Descriptive analytical research was adopted, and data was collected from sixty directors and the heads of departments and divisions and units. A questionnaire was used as a key tool in data collection, and data were analyzed using a regression analysis program (SPSS AMOS V.25) and the researcher calculated the effect size of the Cohen coefficient to determine the strength of the relationship and impact between hypotheses and study variables. The study concludes with a set of useful conclusions and recommendations.
ISSN:2223-814X