Cite this dataset
Ahmad Fadhly Arham (2020) Succession planning initiatives and knowledge retention: A survey dataset. [Dataset]
Description
In this data statement, a survey design has been adopted. Data was analysed by using Statistical Package for Social Science (SPSS). The sample for this study consisted of 102 respondents drawn from 150 potential respondents randomly selected from a list of SMEs. There are three sections of the questionnaire. Section A consists of questions relating to the demographic questions. Section B reflects on the six independent variables and Section C consists of questions on the dependent variable. Six hypotheses were developed and tested through multiple regression analysis.
There are six hypotheses proposed and tested. The study hypothesized that training, management support, career path, positive vision, strong organizational culture and technological advancement contribute significantly towards knowledge retention. The findings only managed to find support to two of the hypotheses. only management support and strong organizational culture were found to significantly contribute towards knowledge retention. Scholars have indicated that successful implementation of knowledge management is depended on the culture being embedded within organization. Whereas management support towards knowledge retention provide employees with the feeling of moving forward and sense of job responsibility. Thus, sense of belongingness among the work units within organization will be established and provide support for the knowledge sharing process to be implemented successfully.
Metadata
Item Type: | Dataset |
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Creators: | Ahmad Fadhly Arham |
ORCID: | https://orcid.org/0000-0001-8521-5366 |
Keywords: | Knowledge, Succession Planning |
Subjects: | Business and Management > Business and Management |
Research Fields: | Business, Finance and Economics |
Divisions: | Business and Management |
Date: | 16 June 2020 |
Date Deposited: | 04 Aug 2023 07:20 |
Identification Number (DOI): | 10.17632/89d2d85g9s.2 |
URI: | http://data.uitm.edu.my/id/eprint/9 |
ID Number : | 9 |
Indexing : |
Files
DATA FRGS FINAL 102.sav - Published Version
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DATA FRGS FINAL 102.csv - Published Version
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