An empirical research on relationships between subjective judgement, technology acceptance tendency and knowledge transfer
September
An empirical research on relationships between subjective judgement, technology acceptance tendency and knowledge transfer
Yu-Hsi Yuan 2 3 4
Sang-Bing Tsai 0 1 2 4
Chien-Yun Dai 2 4
Hsiao-Ming Chen 2 4
Fei Chen 2 4
Chia-Huei Wu 2 4
Guodong Li 2 4
Jiangtao Wang 1 2 4
0 Business and Law School, Foshan University , Guangdong , China , 4 Economics and Management College, Civil Aviation University of China , Tianjin , China , 5 Department of Industrial Education, National Taiwan Normal University , Taipei, Taiwan , 6 Institute of Service Industries and Management, MingHsin University of Science and Technology , Hsinchu , Taiwan
1 Zhongshan Institute, University of Electronic Science and Technology of China , Guangdong , China
2 philosophy and social science planning project (No. TJGL13-028), The Fundamental Research Funds for the Central Universities (No. ZXH2012N002). Provincial Nature Science Foundation of Guangdong (No. 2015A030310271 and 2015A030313679), Academic Scientific Research Foundation for High-level Researcher, University of Electronic Science Technology of China
3 Department of Business Administration, Yuanpei University of Medical Technology , Hsinchu , Taiwan
4 Editor: Yong Deng, Southwest University , CHINA
The purpose of this study was to explore the relationships among employees' usage intention pertaining to mobile information devices, focusing on subjective judgement, technology acceptance tendency, information sharing behavior and information transfer. A research model was established to verify several hypotheses. The research model based on integrated concepts of knowledge management and technology acceptance modeling. Participants were employees of enterprises in Taiwan, selected by combining snowball and convenience sampling. Data obtained from 779 e-surveys. Multiple-regression analysis was employed for hypothesis verification. The results indicate that perceived ease-of-use of mobile devices was affected by computer self-efficacy and computer playfulness directly; meanwhile, perceived ease-of-use directly affects perceived usefulness. In addition, perceived ease-of-use and perceived usefulness can predict information-sharing behavior in a positive manner, and impact knowledge transfer as well. Based on the research findings, it suggested that enterprises should utilize mobile information devices to create more contact with customers and enrich their service network. In addition, it is recommended that managers use mobile devices to transmit key information to their staff and that they use these devices for problem-solving and decision-making. Further, the staff's skills pertaining to the operation of mobile information devices and to fully implement their features are reinforced in order to inspire the users' knowledge transfer. Enhancing the playfulness of the interface is also important. In general, it is useful to promote knowledge transfer behavior within an organization by motivating members to share information and ideas via mobile information devices. In addition, a well-designed interface can facilitate employees' use of these devices.
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Data Availability Statement: All relevant data are
within the paper and its Supporting Information
files.
Zhongshan Institute (No. 415YKQ08). The funders
had no role in study design, data collection and
analysis, decision to publish, or preparation of the
manuscript. The authors received no specific
funding for this work.
Introduction
When taking a comprehensive view of the knowledge economy era, it is clear that knowledge
has become an important competitive element [
1
][
2
]. To knowledge intensive organizations,
knowledge, even though, was the core of their key competency [
3
]. The American Productivity
and Quality Center (APQC) defines knowledge management as a behavior that systematically
enables information and knowledge to grow, flow, and further produce values [
4
]. The act of
knowledge management is ªa process to deliver right knowledge to right people at right time,
and to help its sharing and further improve organizational operationsº as specified by O'Dell
& Hubert [
5
]. In the report ªThe Knowledge-based Economyº from The OECD (Organization
for Economic Co-operation and Development) [
6
]: it is suggested that an economical structure
based on knowledge and information acting as the foundations for production, distribution
and utilization will be a main model for future economic development. Knowledge-based
output is already contributing to more than 50% of the OECD member nations' GDP (Gross
Domestic Product). Economic growth and productivity enhancements in organizations rely
on effective knowledge management of manpower and information technology[
7
].
Snowden [
8
]: as well as Gorelick, Milton and April [
9
]: note that the development of
knowledge management has developed through several phases: the information supporting decision
making phase, the implicit and explicit knowledge transfer p (...truncated)