Exploring the affect factors of knowledge sharing behavior: The relations model theory perspective

Lin, Tung‐Ching; Wu, Sheng; Lu, Chun-Tai

doi:10.1016/j.eswa.2011.07.068

Cited by 81 publications

(47 citation statements)

References 55 publications

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“…Table 4 reports the results of the following: (1) path coefficient (β) between all the constructs, (2) the t-values of all paths, (3) and finally the P-value which was obtained by entering t-value to the statistical web site www.danielsoper.com. Using tvalue and consequently p-value to indicate significance, is widely practiced, and consistent with the recommendations and practices of many studies published in leading IS journals (Lin et al, 2012).…”

Section: Fig 2: Computer Skills Of Respondentsmentioning

confidence: 99%

Examining the determinants of information systems utilization in the public sector of developing countries

Wahdain¹,

Baharudin²,

Ahmad³

2017

Int. j. adv. appl. sci.

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There is plenty of research about information systems adoption and utilization in the extant literature; however, most of it is focused on the context of developed countries. Less attention has been paid for studying the utilization determinants on the context of public organizations in the least developed countries. This paper tries to shed some light on IS utilization determinants in a 3 rd world country with special economic and cultural characteristics, Yemen. The study amended the well-known technology acceptance model (TAM) by adding the factors: Organizational culture, Individual factors, Gender, and Perceived Personal Benefit to the original version. Data was collected quantitatively from 139 employees of the Ministry of Social Affairs and Labour (MoSAL) -Yemen, whom their jobs involve using IT. Using SmartPLS software, PLS-SEM method was used to check the reliability of measurement model, and to assess the structural model. The results provided a statistical evidence of the proposed hypotheses, as organizational culture was influential in deciding perceived usefulness and perceived personal benefit for the respondents, which is consistent with previous research. The results also demonstrated the role of gender in moderating both hypothesized relationships; this emphasized the importance of gender in the context of the study and similar contexts, which was rarely focused on in the previous research. Finally, the model showed a good predictive power since 65% of the focal factor, behavioral intention, was explained by its relationships with the other factors.

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Section: Fig 2: Computer Skills Of Respondentsmentioning

confidence: 99%

Examining the determinants of information systems utilization in the public sector of developing countries

Wahdain¹,

Baharudin²,

Ahmad³

2017

Int. j. adv. appl. sci.

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“…The relational model theory (RMT) had been used to explain this relationship (Boer, van Baalen & Kumar, 2002;Boer & Berends, 2003;Boer, Berends & van Baalen, 2011, Lin, Wu & Lu, 2012. RMT was developed by Fiske (1992) who assumed humans are fundamentally sociable not individualist.…”

Section: Relational Model Theory On Knowledge-sharing Behaviormentioning

confidence: 99%

Measuring the Effect of Equality Matching Relationships on Lecturers’ Knowledge Sharing Behavior

Indriati¹,

Tjakraatmaja²,

Rudito³

et al. 2015

MJSS

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“…Blome et al (2014) stated that a cooperation-oriented organizational culture could reduce the factors in creativity, allow organizational members proposing new ideas in the free and open environment, and reduce organizational members' anxiety when offering ideas. Lin et al (2012) considered that organizational creativity would be affected by technology factors, group characteristics, organizational characteristics and systems, and social & cultural characteristics.…”

Section: Organizational Creativitymentioning

confidence: 99%

Effect of Learning Organization on Organizational Communication and Organizational Creativity in High-Tech Industry

Huang

Yao

2017

EURASIA J MATH SCI T

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In face of the rapidly changing economic environment, the competitive advantages on which high-Tech Industry used to depend for the development are disappearing. The value of high-Tech Industry no longer depends on the possession of plants, equipment, and products, but on the intellectual property, customer confidence, and teamwork ability of business partners, infrastructure of telecommunications, and employees' creative potential and skills. How to construct the environment climate, in high-Tech Industry, for employees being happy to work, creating knowledge, learning, communicating and sharing as well as to guide employees' goals being consistent with organizational objectives to continuously contribute to the organization is the motivation of this study. Aiming at supervisors and employees of manufacturers in Weihai Torch Hi-Tech Science Park in Shandong Province, total 500 copies of questionnaire are distributed in this study. 376 valid copies are retrieved, with the retrieval rate 75%. The research results conclude that 1.learning organization presents positive and significant effects on organizational communication, 2.organizational communication reveals positive and remarkable effects on organizational creativity, and 3.learning organization shows positive effects on organizational creativity. According to the results, conclusion and suggestion are proposed, expecting to help high-Tech Industry become learning organizations and promote organizational communication and organizational creativity.

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Exploring the affect factors of knowledge sharing behavior: The relations model theory perspective

Cited by 81 publications

References 55 publications

Examining the determinants of information systems utilization in the public sector of developing countries

Examining the determinants of information systems utilization in the public sector of developing countries

Measuring the Effect of Equality Matching Relationships on Lecturers’ Knowledge Sharing Behavior

Effect of Learning Organization on Organizational Communication and Organizational Creativity in High-Tech Industry

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