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The Retention of the Employees as Long as Possible in the Organization, Through Finding the Right Factors of Motivation. Albania as a Case of Study

Author

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  • Sonela Stillo

    (University “Fan S. Noli†, Economic Faculty, Korca, Albania)

  • Gentisa Furxhi

Abstract

One of the main objectives of an organization is the achievement of productivity, performance and high standards through the efficient use of the human resources and the application of the right technologies for combining the work force with the quantity of work. The job of the staff is done perfectly if you put the right person in the right position, in the right time. But to retain is more important than to employ. A talented employee will never run out of possibilities. The retention of employees is a process in which the employees are encouraged to stay in the organization for a maximal period of time. Even though the retention of the employees is a hard job for the organization, it is important for the organization as well as for the employee himself. If we assure the fulfillment of this important objective of the management of the human resources, thus the preservation of the human capacities, than we are in the right path of minimizing the turnover in the organization. For this to be possible it must be paid maximal attention to the employees, making them feel comfortable physically as well as psychologically in the workplace. Such thing requires the readiness of the organization to motivate the human resources. Exactly, the motivation of the employees is one of the most important factors that help the employer to improve the organizational and the employee’s performance. The purpose of this study is evidencing the main factors that impact the level of motivation of the employees, their retention in the organization and a valuation of the rate of this impact.The data gathered from both public and private sector were analyzed through the software SPSS using the analyze of t-test, frequency, the pearson correlation, density.

Suggested Citation

  • Sonela Stillo & Gentisa Furxhi, 2016. "The Retention of the Employees as Long as Possible in the Organization, Through Finding the Right Factors of Motivation. Albania as a Case of Study," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 2, May - Aug.
  • Handle: RePEc:eur:ejesjr:99
    DOI: 10.26417/ejes.v5i1.p51-58
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    References listed on IDEAS

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    1. Mladenović, Nenad & Urošević, Dragan & Hanafi, Saı¨d & Ilić, Aleksandar, 2012. "A general variable neighborhood search for the one-commodity pickup-and-delivery travelling salesman problem," European Journal of Operational Research, Elsevier, vol. 220(1), pages 270-285.
    2. Carter, Arthur E. & Ragsdale, Cliff T., 2006. "A new approach to solving the multiple traveling salesperson problem using genetic algorithms," European Journal of Operational Research, Elsevier, vol. 175(1), pages 246-257, November.
    3. Kara, Imdat & Bektas, Tolga, 2006. "Integer linear programming formulations of multiple salesman problems and its variations," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1449-1458, November.
    4. Bektas, Tolga, 2006. "The multiple traveling salesman problem: an overview of formulations and solution procedures," Omega, Elsevier, vol. 34(3), pages 209-219, June.
    5. Cheang, Brenda & Gao, Xiang & Lim, Andrew & Qin, Hu & Zhu, Wenbin, 2012. "Multiple pickup and delivery traveling salesman problem with last-in-first-out loading and distance constraints," European Journal of Operational Research, Elsevier, vol. 223(1), pages 60-75.
    6. Yuan, Shuai & Skinner, Bradley & Huang, Shoudong & Liu, Dikai, 2013. "A new crossover approach for solving the multiple travelling salesmen problem using genetic algorithms," European Journal of Operational Research, Elsevier, vol. 228(1), pages 72-82.
    7. Petersen, Hanne L. & Madsen, Oli B.G., 2009. "The double travelling salesman problem with multiple stacks - Formulation and heuristic solution approaches," European Journal of Operational Research, Elsevier, vol. 198(1), pages 139-147, October.
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