IDENTIFYING POOR PERFORMANCE DIMENSIONS AND CLUSTERING POOR PERFORMERS: A CASE STUDY IN TEHRAN UNIVERSITY OF MEDICAL SCIENCES

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TABATABAEI SEYYED MOHSEN; HABIBI BAGHI MASUMEH; KASHIAN SEYEDEH BAHAREH; BIGLAR MAHMOOD

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Journal: Payavard Salamat Year:2016 | Volume:9 | Issue:5 Page(s): 478-488

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Title

IDENTIFYING POOR PERFORMANCE DIMENSIONS AND CLUSTERING POOR PERFORMERS: A CASE STUDY IN TEHRAN UNIVERSITY OF MEDICAL SCIENCES

Author(s)

TABATABAEI SEYYED MOHSEN | HABIBI BAGHI MASUMEH | KASHIAN SEYEDEH BAHAREH | BIGLAR MAHMOOD | Issue Writer Certificate

Keywords

INEFFICIENT EMPLOYEESQ2

EMPLOYEES CLUSTERINGQ2

TEHRAN UNIVERSITY OF MEDICAL SCIENCESQ2

IRANQ2

Abstract

Background and Aim: Employees are an organization's greatest assets and organizational performance is dependent to employee’s performance. Presence of INEFFICIENT EMPLOYEES can make other employees to be less productive. To improve INEFFICIENT EMPLOYEES to high performance level, it is necessary to analyze the performance of employees. This study aims to identify and determine poor performance dimensions and cluster inefficient staffs.Materials and Methods: This study was an analytical and descriptive research.The research made questionnaire developed for data collection and Principal Component Analysis(PCA) and Cluster Analysis (CA) techniques in SPSS used to analyze the research data.Results: The PCA results showed that six poor performance dimensions were behavioral problems, low results, lack of self-efficacy and creativity, sabotage, postponing, and individualism. The CA results declared that poor performers can be classified to five clusters include poor behavior, lazy, jobber, poor ability, marginal, managers believed that root of employees’ in inefficiency attributed jobber, poor ability, and lazy employees to internal causes, and attributed bad behavior and marginal employees to external causes.Conclusion: The type of inefficiency and its dimensions should be identified in order to make effective decisions for INEFFICIENT EMPLOYEES. EMPLOYEES CLUSTERING propose a new attitude toward inefficiency differentiation comparing to literature, and this five group clustering based on empirical data expected to be more applicable in practice.

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APA: Copy

TABATABAEI, SEYYED MOHSEN, HABIBI BAGHI, MASUMEH, KASHIAN, SEYEDEH BAHAREH, & BIGLAR, MAHMOOD. (2016). IDENTIFYING POOR PERFORMANCE DIMENSIONS AND CLUSTERING POOR PERFORMERS: A CASE STUDY IN TEHRAN UNIVERSITY OF MEDICAL SCIENCES. PAYAVARD-SALAMAT, 9(5), 478-488. SID. https://sid.ir/paper/149859/en

Vancouver: Copy

TABATABAEI SEYYED MOHSEN, HABIBI BAGHI MASUMEH, KASHIAN SEYEDEH BAHAREH, BIGLAR MAHMOOD. IDENTIFYING POOR PERFORMANCE DIMENSIONS AND CLUSTERING POOR PERFORMERS: A CASE STUDY IN TEHRAN UNIVERSITY OF MEDICAL SCIENCES. PAYAVARD-SALAMAT[Internet]. 2016;9(5):478-488. Available from: https://sid.ir/paper/149859/en

IEEE: Copy

SEYYED MOHSEN TABATABAEI, MASUMEH HABIBI BAGHI, SEYEDEH BAHAREH KASHIAN, and MAHMOOD BIGLAR, “IDENTIFYING POOR PERFORMANCE DIMENSIONS AND CLUSTERING POOR PERFORMERS: A CASE STUDY IN TEHRAN UNIVERSITY OF MEDICAL SCIENCES,” PAYAVARD-SALAMAT, vol. 9, no. 5, pp. 478–488, 2016, [Online]. Available: https://sid.ir/paper/149859/en

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