1
|
An empirical study of knowledge mapping implementation in Indonesian organizational context. VINE JOURNAL OF INFORMATION AND KNOWLEDGE MANAGEMENT SYSTEMS 2021. [DOI: 10.1108/vjikms-11-2019-0170] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
Knowledge growth is currently experiencing a very exponential increase, through a digital transformation of knowledge in the organization and the emergence of various platforms through management system content such as blogs and social media that have encouraged such growth. An employee no longer only interacts in knowledge management (KM) in his organization but can communicate and collaborate to share knowledge through these platforms widely. Much of the spread of knowledge is a challenge for organizations to manage and use their knowledge and spread knowledge and become part of the expertise possessed by employees in their organizations. For this reason, an intelligent knowledge mapping approach is needed to facilitate finding, managing and identifying knowledge owned by an organization. This paper aims to see the use of smart knowledge mapping in organizations empirically.
Design/methodology/approach
This research was conducted empirically by conducting a literature study method to compile a questionnaire and conduct a survey through purposive sampling, sampling taken from the KM and Society Indonesia community. This survey limits only to respondents who have experience in conducting knowledge mapping in an organization.
Findings
The use of data sources that have been owned by the organization and also the consideration of the use of digital footprint employees spread across the internet can be a potential to explore the knowledge resources possessed by the organization. Of course, with the support of technology through the use of artificial intelligence (AI), it is expected to be able to present a comprehensive, adaptive and objective knowledge mapping for the organization.
Practical implications
The paper provides practical implications for knowledge mapping implementation in an organization by adopting AI with considerable digital footprint employees spread across the internet.
Originality/value
This paper provides empirical information about knowledge mapping implementation in Indonesian organization.
Collapse
|
2
|
Na-Nan K, Wongsuwan N. Development and validation of perceived workplace support for small and medium-sized enterprise employees. INTERNATIONAL JOURNAL OF ORGANIZATIONAL ANALYSIS 2020. [DOI: 10.1108/ijoa-12-2018-1608] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
Perceived workplace support (PWS) is an employee’s perception of perceived organisational support (POS), perceived supervisor support (PSS), perceived co-worker support (PCS) and perceived sufficient resource support (PSRS) to operate effectively. The purpose of this paper is to explore the development and validation of employee’s PWS instrument in small and medium-sized enterprises (SMEs).
Design/methodology/approach
A total of 15 items of employees’ PWS instrument in SMEs were developed from the measurement base of earlier published research, concepts and theory. The instrument was applied to a cross-sectional study and data were collected as factor analyses to confirm and ascertain construct validity. Reliability was tested by measuring the internal consistency.
Findings
The instrument showed excellent reliability at 0.894. Four factors as “POS”, “PSS”, “PCS” and “PSRS” were extracted and confirmed from the confirmatory factor analysis.
Originality/value
PWS studies are often used by researchers, human resource departments and organisations to investigate the level of employee support. The instrument developed from this study will enable researchers, human resource departments and organisations to explore levels of POS, PSS, PCS and PSRS.
Collapse
|