The relationship of organisational culture and effectiveness of internal process change in civil service

Ibrahim, Norliza Eileen; Fung, Chorng Yuan; Ki, Yen Ping; Su, eh Ing

doi:10.1504/ijqi.2022.122310

Cited by 1 publication

(1 citation statement)

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“…Executives who can transform their organizations and adapt them to change, perform smoothly and deliver outstanding results (Kantor et al, 2008). Such leaders often lead changes through developing organizational culture (Brandt et al, 2019;Lee et al, 2018;Ibrahim et al, 2022) that is potent enough to promote knowledge, learning, and innovativeness (Kucharska, 2021a-d). This study refers directly to Kucharska and Rebelo's (2022) findings about learning culture which revealed that tacit knowledge sharing and change adaptability driven by learning culture are vital links connecting transformational leadership with innovativeness.…”

Section: Hypothesesmentioning

confidence: 99%

Transformational leadership and acceptance of mistakes as a source of learning - Poland-USA cross-country study

Kucharska

Kucharski

Rehman

2022

ECMLG

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This study aims to explore the influence of transformational leadership on internal innovativeness mediated by mistakes acceptance, including country and industry as factors to be considered and gender and risk-taking attitude as moderators. General findings, primarily based on the US samples (healthcare, construction, and IT industry), confirmed that transformational leadership and internal innovativeness are mediated by mistakes acceptance and strengthened by employees' risk-taking attitude. It is reflected in Polish healthcare sample. On the other hand, IT and construction industry samples revealed that a low mistakes acceptance level among risk-taking managers under transformational leadership might be their hidden form of change resistance. Regarding gender issue, this study showed that male employees driven by transformational leaders accept mistakes as a source of learning better than women, but the exceptions are healthcare and IT industries in Poland. The developed empirical model is based on a sample composed of 2,160 Polish and American knowledge workers applying OLS regression, using SPSS PROCESS macro software.

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Section: Hypothesesmentioning

confidence: 99%