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      Impact Of Government Incentives Policy On Workers' Productivity

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            Abstract

            This study examined the impact of government incentive policy on workers` productivity in Taraba State (a study of Takum L.G.A). Survey research design was adopted, while data were obtained through primary source. The population of the study was 300 and the sample size is 171 by using Taro Yamane statistical method, Data were presented in frequency tables and percentages were used to analyze the data. Formulated hypotheses on the other hand were tested using Pearson product moment correlation, aided by the statistical package for Social Sciences (SPSS)version 23.0. The findings revealed that good incentive polices motivate workers, in that motivated workers are happy workers and happy workers are productive workers. The study further revealed that a monetary incentive is essential in getting workers to perform better. Therefore, the study recommends that management of Takum L.G.A should Endeavour to improve the workers remuneration in order to motivate employees to put more effort in their services. In addition, it also recommends that the management of Takum L.G.A should identify a non-financial incentive scheme that will motivate workers to perform more tasks. Lastly, it recommends that, the government of Takum L.G.A should constantly review and introduce new incentive policy that will aid to motivate employees for higher productivity.

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            Author and article information

            Journal
            ScienceOpen Preprints
            ScienceOpen
            13 October 2021
            Affiliations
            [1 ] Business Administration, Federal University Wujari, Mission quarters wukari Taraba State
            Author notes
            Author information
            https://orcid.org/0000-0002-3456-2808
            Article
            10.14293/S2199-1006.1.SOR-.PPXYGT1.v1
            d5b0c673-0aaf-43de-8482-3ce76da7abf1

            This work has been published open access under Creative Commons Attribution License CC BY 4.0 , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Conditions, terms of use and publishing policy can be found at www.scienceopen.com .

            History
            : 13 October 2021

            All data generated or analysed during this study are included in this published article (and its supplementary information files).
            Social & Behavioral Sciences

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