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The purpose of this paper is to understand the best processes that are currently used in managing talent in Australian higher education (HE) and to examine the policies in terms of talent management processes (TMPs) that are derived from objective one. Pragmatic benefits for academic institutions focused on enhancing talent.

This study selects the mixed method as its research design. In the qualitative study, there were three methods: brainstorming, focus group and individual interviews, followed by the quantitative questionnaire study. The sample consisted of 6 participants for brainstorming, 11 in focus group, 6 individual interviews and 286 participants for the quantitative questionnaire, all conducted in nine Australian universities.

Three key themes: talent retention, talent development and talent attraction were explored by the qualitative study. The quantitative study tests the level of an importance regarding the three TMPs explored.

This empirical research is one of the first few studies that extended the previous investigation of TMPs in various industries to the HE sector. This research provides more debates for adding more new ideas in the Australian education strategic plans for HE.

This study offers a value-add to talent management literature through designing a quantitative measurement of TMPs for the educational sector. Consequently, there is a deficiency of pragmatic evidence in terms of TMPs in the aforementioned sector. Furthermore, this study provides a clear and comprehensive outline of the extant scholarly research of TMPs from the period 2006–2018.

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.

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.

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.

This study only targeted one country (Australia) and one sector (HE).

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.

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.

The purpose of this paper is to develop a theoretical model and investigate the relationship between talent management (TM) processes and knowledge creation (KC) in Australian public and private universities. This is because of the pragmatic advantages for organisations that focus on talents and knowledge.

This research adopted the mixed-methods design. The sample comprised 23 individuals for the qualitative study and 286 individuals for the quantitative survey questionnaire, all conducted in nine public and private universities in Australia.

The qualitative outcomes were utilised to develop the quantitative survey statement. These outcomes are based on a three-stage method of thematic analysis. The core conclusion of the quantitative study is that there is a significantly positive influence on TM processes (TMPs) on KC.

The principle limitation of this study was the scope. It only targeted one country (Australia), one state (Queensland) and a part of the higher education sector (the university).

This research designed a quantitative instrument of TMPs and KC for the Australian educational institutions. The instrument is severely designed and comprehensively conceptualised utilising social, excellent, performance, strategic, behavioural and developmental concepts within TMPs with innovative, informational and technological concepts underlining KC within the Australian public and private universities in Queensland.

The study adds value to both TM and knowledge management literature through designing a conceptual model that links both of these variables in one tool regarding the university sector.

The purpose of this paper is to investigate generated themes associated with talent development in the Australian higher education sector. This is because there are pragmatic advantages for universities that are focused on developing talents. For example, talent is a primary source of competitive advantage for educational institutions.

This study depends on the individual interview method as the main tool for data collection. The sample consisted of six participants who are talented. High-level individual interviews were transcribed and thematically analysed using NVivo 11.

Individual interviews have identified four key themes of talent development: performance management, coaching talent, leadership development and talent acquisition.

This study only targeted one country (Australia), and one sector (higher education). Hence, the generalisability of these results is limited to the Australian university sector in Queensland.

This study collects rich and original qualitative data regarding talent development in the higher education domain. Therefore, for instance, the research findings validate what was already found but are significant because practical data rather than theoretical were gathered through a discussion with experts in talent management. This study has a high quality because of strengthening the effect of an in-depth case study.

The study offers a value added to talent management theory through investigating themes of talent development for the higher education sector. This would assist researchers in this field to provide a deeper understanding and develop a theoretical foundation for their further studies. This implication is unique to the advancement of talent management theory.

The purpose of this research is to investigate the drivers and inhibitors of clinical usefulness of handheld wireless technology in healthcare domain in Australia and India. Because of cultural differences in these two countries the paper also attempts to show how a cross‐national study of this nature can be carefully designed and undertaken to produce useful results.

A mixed‐method research design was used in this study. First, qualitative approach was used to develop the list of drivers and inhibitors in Australia and India via interviews and a research model was developed. This was then followed by a quantitative approach where questionnaire was developed and distributed to 300 health professionals each in both Australia and India. The collected data were analysed using a combination of optimal scaling and partial least square (PLS) techniques.

The result of the study was very interesting. The PLS application to the raw data did not support any of the hypotheses. As the study was cross‐national optimal scaling procedure were used to standardize the data and then PLS used again. It was then revealed that for Australia inhibitors significantly influence the clinical usefulness of handheld wireless technology while the drivers do not. However, for India the drivers significantly influence the clinical usefulness but the inhibitors do not. Possible reasons for such contrasting results are highlighted in the paper.

The sample size although appropriate for the tools used was a bit on the low side. The study did not follow up with representative respondents from Australia and India to get a deeper understanding of the results.

This study is original in the way the research model was developed from ground up. Our approach can be used for similar research. The study also makes original contribution in terms of designing an appropriate research approach for cross‐national study and how various data analyses tools can be used effective for meaningful outcomes.

The purpose of this paper is to understand the phenomenal of wireless handheld technology in healthcare environment.

The paper adopts a mixed method approach and a qualitative approach with focus group and survey techniques.

The study indicates that organizational readiness, technical readiness, clinical practice, social aspects as well as compatibility of new hardware with the existing system, play a crucial role in the adoption of wireless handheld devices in Australian healthcare systems

Future research in this domain needs to examine implications of wireless handheld technology at an organizational level in the healthcare environment and its adoptability to unique healthcare settings

The research has established that access to data, communication enhancements, policy development, high quality information transmission and easy interfaces, are some of the factors influencing the acceptance of wireless technology in Australian healthcare systems. The study also identified challenges, such as the lack of management commitment, in realizing the acceptance.

The purpose of this paper is to examine shelf management practices of grocery retail chains and their category captains (CCs) in the marketing of consumer packaged goods.

This is a qualitative, exploratory study that is set in a duopoly retail environment in the Asia-Pacific region. The study employed 18 in-depth interviews with executives and managers of two umbrella retail organisations and their suppliers/manufacturers. The method of data analysis employed was content analysis.

Despite CC input in merchandising decisions, it is the retail chains that have the final say on shelf matters. There is no risk of strategic loss of power in employing CCs to manage store product categories on behalf of, or in partnership with retailers provided the retail chains closely monitor the activities and decisions/recommendations of the captains.

The paper is developed from data obtained from the grocery retail industry of one economy. Future research would need to extend this study to other economies with similar as well as different conditions.

The research offers reassurance to grocery retail practitioners who may be contemplating lessening the burden of managing all their store categories by themselves and switching to CC arrangements. The reassurance is that the reported risk associated with loss of power is manageable.

The paper has created a typology termed the “category captain arrangement/grocery retail concentration matrix” and specific directions for further research.

Decision support systems developed using machine learning classifiers have become a valuable tool in predicting various diseases. However, the performance of these systems is adversely affected by the missing values in medical datasets. Imputation methods are used to predict these missing values. In this paper, a new imputation method called hybrid imputation optimized by the classifier (HIOC) is proposed to predict missing values efficiently.

The proposed HIOC is developed by using a classifier to combine multivariate imputation by chained equations (MICE), K nearest neighbor (KNN), mean and mode imputation methods in an optimum way. Performance of HIOC has been compared to MICE, KNN, and mean and mode methods. Four classifiers support vector machine (SVM), naive Bayes (NB), random forest (RF) and decision tree (DT) have been used to evaluate the performance of imputation methods.

The results show that HIOC performed efficiently even with a high rate of missing values. It had reduced root mean square error (RMSE) up to 17.32% in the heart disease dataset and 34.73% in the breast cancer dataset. Correct prediction of missing values improved the accuracy of the classifiers in predicting diseases. It increased classification accuracy up to 18.61% in the heart disease dataset and 6.20% in the breast cancer dataset.

The proposed HIOC is a new hybrid imputation method that can efficiently predict missing values in any medical dataset.

Knowledge management (KM) is widely adopted by organisations to improve their performance and make informed decisions. Prior research has confirmed that Information Systems (IS) play a critical role in effective KM. The purpose of this study is to examine the existing literature on the role of cloud-based KM systems (C-KMS) in small- and medium-sized enterprise (SMEs) by understanding its impact on the five KM processes: knowledge acquisition, creation, storage, sharing and usage.

This study conducted a systematic literature review by examining 133 journal articles and 24 conference papers from 2010 to 2021 on the role of cloud computing in KM for SMEs.

This study revealed that there are numerous empirical analyses on KM processes and tools in SMEs; however, only few studies demonstrate how the whole gamut of KM processes can adopt cloud computing in SMEs. Therefore, SMEs are ineffective at KM with limited IS intervention. This paper offers a proposition on how C-KMS can impact all five KM process, thereby increasing its effectiveness of KM in SMEs. This study analysed the benefits of C-KMS that brings to SMEs in terms of availability, scalability, reliability, security and cost.

This systematic review is restricted to certain databases (ScienceDirect, Sage journals, Scopus and Emerald Insight) and specific IS conference proceedings to source articles. The selection of search criteria and time frame is based on this study’s assessment and choice. This study adds value to our understanding of the role of KM in SMEs, and it reinforces the role of cloud computing in effectively managing knowledge in SMEs. The proposal of C-KMS for the enhancement of KM has significant implications for SMEs to effectively use knowledge for their survival and superior performance.

This study suggests three practical implications. First, adopting and using C-KMS provide a strong foundation to manage knowledge for SMEs in a cost-effective way. Second, C-KMS improves the effectiveness of KM by increasing availability of knowledge artifacts, which in turn aids SMEs’ growth. Third, C-KMS is useful to codify SME’s knowledge, and accordingly supports employees to acquire and use knowledge based on their requirements.

This study discussed C-KMS with contemporary social issues, such as the COVID-19 pandemic challenges for SMEs and demonstrated how C-KMS can support SMEs to handle such crises by managing knowledge effectively.

This research highlights the importance of the implementation of a C-KMS for the enhancement of KM in SMEs. The review provides empirical evidence on the challenges faced by SMEs regarding KM, as they often only have enough resources to focus on a single KM process, predominantly knowledge sharing. Consequently, a holistic approach to KM cannot be realised by SMEs. In this context, the findings of this study offer theoretical and practical insights into the role of cloud computing by addressing the challenges of KM in SMEs.