Print ISSN: 2204-1990

Online ISSN: 1323-6903

Keywords : Analytical Hierarchy Process

High-Performance Work System and Employee Performance: Case Study at Koja Container Terminal


Journal of Contemporary Issues in Business and Government, 2021, Volume 27, Issue 3, Pages 2827-2842
DOI: 10.47750/cibg.2021.27.03.340

Container Terminal (TPK) Koja is a terminal intended for loading and unloading activities of goods, especially containers. Good employee performance will affect the quality of the process and loading and unloading services produced. This research is qualitative research with case studies on TPK Koja. The purpose of the research was to find out if a high-performance work system (HPWS) is good to be applied in TPK Koja and how HPWS role to the performance of TPK Koja employees. Calculate the weight of each KPI using the Analytical Hierarchy Process method and measure the value of performance achievement by scoring system method and evaluate performance measurement results with Traffic Light System. The results of the study showed HPWS had a positive impact on employee performance and the measurement results showed 15 HPWS KPIs were at the green level or within the specified target.

Portfolio optimization: An overview of integrated approaches and mathematical programing techniques

D.K. Mishra; Vikas Shinde; Kamal Wadhwa; Sanjay Chaudhary

Journal of Contemporary Issues in Business and Government, 2021, Volume 27, Issue 1, Pages 3749-3769

Selection of stocks is a challenging task for investors and finance researchers because of the uncertainty of the return. In portfolio selection, the aim is to obtain a proper proportion of assets for getting maximum profit and least risk. The objective of his paper is to provide an overview of the present research in portfolio optimization with respect in mathematical programing techniques. For this purpose, 82 research papers appearing in the scholarly journal have been observed and investigated, and it has been concluding that fuzzy decision theory and goal programming establish the maximum number of mathematical programming techniques generated to solve the portfolio optimization problem.