Bella Ya‐Hui Lien, Richard Yu‐Yuan Hung, Baiyin Yang and Mingfei Li
This study aims to investigate the psychometric characteristics of a Chinese version of the Dimensions of Learning Organization Questionnaire (DLOQ©).
Abstract
Purpose
This study aims to investigate the psychometric characteristics of a Chinese version of the Dimensions of Learning Organization Questionnaire (DLOQ©).
Design/methodology/approach
The DLOQ©, developed by Watkins and Marsick in 1997, assessed the characteristics of a learning organization. This study employed a survey validate utility of the DLOQ© for the Taiwanese context.
Findings
Psychometric analyses revealed that the Chinese DLOQ© has reasonable reliability, and that the seven‐dimensional factor structure was appropriate for the Taiwanese context. Study results also revealed that the seven dimensions of a learning organization can classify different organization types successfully and demonstrate a statistically significant correlation between organization type and perceptual measures of organizational performance.
Research limitations/ implications
This study has implications for both research and practice in HRD. It offers preliminary evidence of reliability and validity for the Chinese DLOQ©. The positive evidence supporting the psychometric properties of the Chinese DLOQ© indicates the potential for particular cross‐cultural applications. Experimental results also suggest that the Chinese DLOQ© can be utilized to determine cultural differences in building a learning organization. Further studies are required to investigate the relationships between the concept of a learning organization and its antecedent and outcomes variables, such as organizational structure, culture, and performance.
Originality/value
This study confirms that the validity of applying the seven dimensions as determinants of a learning organization in the Taiwanese context and, in particular, supports the cross‐validity of the DLOQ© in this context. This study also offers practical help to understand the concept of organizational learning and developing learning organizations.
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Jo Rhodes, Richard Hung, Peter Lok, Bella Ya‐Hui Lien and Chi‐Min Wu
Whilst knowledge transfer is a major strategy for managing contemporary organizations the impact of the key factors influencing the rate of organization knowledge transfer is…
Abstract
Purpose
Whilst knowledge transfer is a major strategy for managing contemporary organizations the impact of the key factors influencing the rate of organization knowledge transfer is relatively unknown. As a contribution to this identified gap this paper aims to discuss the influence of particular organizational factors (IT systems, structured learning strategies, innovative organizational culture, and flexible structure and design) on knowledge transfer using a conceptual framework derived from the literature. The effect of both explicit and tacit knowledge transfer on innovative capabilities and organizational performance is to be examined.
Design/methodology/approach
The survey study, conducted amongst 1,086 high‐tech companies, targeted chief executive officers), CFOs (chief financial officers), COOs (chief operation officers) or top managers/administrators as they provided more reliable environmental and organizational information.
Findings
The study findings, based on a sample response rate of 19.6 per cent, indicated that of the particular organizational factors considered IT systems had the most significant impact on organizational knowledge transfer followed by a structured learning strategy, and an innovative organizational culture. Personalized (tacit) knowledge transfer had a strong influence on innovative capabilities development and process innovation had a greater impact on organizational performance than product innovation.
Originality/value
The findings can be used by managers to more efficiently direct knowledge transfer resource allocation decisions to further optimize organizational performance.
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Keywords
Patricia Yin Yin Lau, Gary N. McLean, Bella Ya-Hui Lien and Yen-Chen Hsu
The purpose of this paper is to determine if self-rated and peer-rated organizational citizenship behavior mediated the relationship between affective commitment and intention to…
Abstract
Purpose
The purpose of this paper is to determine if self-rated and peer-rated organizational citizenship behavior mediated the relationship between affective commitment and intention to leave in Malaysia.
Design/methodology/approach
A survey yielded 516 responses from multiple locations in Malaysia across varied industries for a response rate of 64.5 percent. Validity based on confirmatory factor analysis and reliability were confirmed.
Findings
Affective commitment influenced self- and peer-rated organizational citizenship behavior and intention to leave. Only self-rated organizational citizenship behavior partially mediated affective commitment and intention to leave. While self-rated organizational citizenship behavior increased intention to leave positively, peer-rated organizational citizenship behavior did not influence intention to leave.
Practical implications
The findings confirm earlier research that self-ratings and peer-ratings are different, and, surprisingly, organizational citizenship behavior is not a factor supporting talent retention. Human resource practitioners need to shift their focus to affective commitment that reduces intention to leave and increases organizational citizenship behavior.
Originality/value
Past studies on organizational citizenship behavior relied on self-ratings, supervisor-ratings, or both ratings used in Western contexts. Little was known about the assessment of organizational citizenship behavior from peer perspectives and its relationship between affective commitment and intention to leave. Moreover, the relationships between affective commitment and self-rated and peer-rated organizational citizenship behavior were inconsistent. This study responded to those gaps by integrating affective commitment, self-rated, and peer-rated organizational citizenship behavior, and intention to leave into a single hypothesized model.