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Abstract
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Article Information:
Factors Inhibiting Effective Staff Training: Cases of Temeke Municipal and Kisarawe District Councils, Tanzania
Viscal Kihongo
Corresponding Author: Viscal Kihongo
Submitted: 2011 March, 14
Accepted: 2011 April, 20
Published: 2011 May, 15 |
Abstract:
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This study examined the factors inhibiting effective staff training at the councils of Temeke
Municipality and Kisarawe District in Tanzania. A case study design was employed, with data collected from
47 respondents. The instruments used to collect data were questionnaires and secondary information sources.
To report the findings, descriptive statistics was used. The data were validated using mean percentages. On the
whole, the study findings identified lack of proper training policies and programmes, lack of or inadequate
training fund allocation, lack of top management commitment towards staff training, coupled with malpractices
such as favouritism and staff training fragmentation as the main factors inhibiting effective staff training in the
study area. As a result, the study provides four recommendations aimed at redressing the situation. First, local
government authorities should formulate clear staff training policies and provide well-designed training
programmes. Second, local government authorities should increase their staff training budget allocations in
addition to establishing a specific unit to oversee and co-ordinate staff training initiatives and all related matters.
Third, the top management of such authorities should make an unwavering commitment to staff training. Four,
the selection of training candidates should be based on the organisation’s assessed training needs and the
suitability of those candidates to avoid malpractices of favouritism.
Key words: Effectiveness, inhibiting factors, staff training, Tanzania, , ,
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Cite this Reference:
Viscal Kihongo, . Factors Inhibiting Effective Staff Training: Cases of Temeke Municipal and Kisarawe District Councils, Tanzania. Asian Journal of Business Management, (2): 123-130.
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ISSN (Online): 2041-8752
ISSN (Print): 2041-8744 |
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