Vijaya Gururajan and Dieter Fink
This paper seeks to determine attitudes that impact on knowledge transfer between academics (university teaching and research staff) employed in today's competitive…
Abstract
Purpose
This paper seeks to determine attitudes that impact on knowledge transfer between academics (university teaching and research staff) employed in today's competitive, technology‐based university setting.
Design/methodology/approach
The study generated a rich set of data by conducting, first, an exploratory, qualitative study followed by a confirmatory, quantitative study. Through this process, an initial list of 402 attitudes to knowledge transfer was derived which was narrowed to 75 for the quantitative survey which, through factor analysis, was further reduced to 24 variables. The 24 variables were grouped into four factors for which trust and motivation are more relevant to the knowledge provider and absorptive capacity and knowledge regeneration for the receiver.
Findings
High levels of agreement were found for the propositions that senior academics lacked compensation for mentoring activities, and hence, the motivation to transfer knowledge, and that a heavy teaching load prevented the absorption of transferred knowledge. By contrast, disagreement was found with the propositions that an elderly age impeded the transfer of knowledge or adapting to new ways of transferring knowledge.
Practical implications
From the responses obtained it was possible to identify those rated highly and from which conclusions could be drawn that may assist the university concerned to improve knowledge transfer among its academic staff. Compensation to senior academics for their time and effort was seen as the most important pre‐requisite for knowledge transfer. A reduction in teaching loads and the range of expectations to which academics are subjected would also facilitate knowledge transfer as would increasing academics' use of ICT and ability to assess its effectiveness, as well as recognising that knowledge transfer during social interactions may ameliorate the lack of knowledge transfer in the more formal, technology‐based environment.
Originality/value
The paper identifies key attitudes of academics to transferring knowledge to colleagues in the changing work place at universities in which academics are expected to perform at a high level in diverse activities and use technology to maximise their efficiency and effectiveness.
Details
Keywords
Atheer Abdullah Mohammed, Abdul Hafeez Baig and Raj Gururajan
The key objective of the study is to understand the best processes that are currently used in managing talent in Australian higher education (AHE) and design a quantitative…
Abstract
Purpose
The key objective of the study is to understand the best processes that are currently used in managing talent in Australian higher education (AHE) and design a quantitative measurement of talent management processes (TMPs) for the higher education (HE) sector.
Design/methodology/approach
The three qualitative multi-method studies that are commonly used in empirical studies, namely, brainstorming, focus group discussions and semi-structured individual interviews were considered. Twenty-three individuals from six Australian universities participated in this study.
Findings
The qualitative study explored three key themes and ten subthemes of TMPs that are used in AHE. These were: (1) talent attraction, (2) talent development and (3) talent retention.
Research limitations/implications
This study only targeted one country (Australia) and one sector (HE).
Practical implications
This study offers three major contributions as follows: theoretical, practical and policy aspects. Theoretically, the study provides a value-add to Talent Management (TM) theory through designing a guide (conceptual model) of TMPs for the HE sector. Practically, it collects original qualitative data regarding TM in the HE domain. From a policy point of view, this study adds more debate around adding new ideas to Australian education strategic plans for HE.
Originality/value
This study has a unique methodology because of strengthening the effect of an in-depth case study. For instance, two different techniques were used for data analysis for the same research objective as follows: (1) both manual methods and content analysis software (NVivo 11) and (2) the three-stage approach. Using these techniques for the same purpose in one study can provide greater flexibility to examine the relationship between theory and data.