This paper aims to identify the major research concepts studied in the literature of sustainability in construction projects. Two bibliometric analysis tools—(a) BibExcel and (b) Gephi, were used to analyze the bibliometrics indices of papers and visualize their interrelations as a network, respectively. Therefore, a research focus parallelship network (RFPN) analysis and keyword co-occurrence network (KCON) analysis were performed to uncover the primary research themes. The RFPN analysis clustered the studies into three major categories of evaluating sustainability, project management for sustainability, and drivers of sustainable construction. The KCON analysis revealed that while each paper had a different focus, the underlying concept of all clusters was sustainability, construction, and project management. We found that while ‘sustainability’ was the leading keyword in the first cluster, i.e., evaluating sustainability, it was the second top keyword with the eigenvector centrality of over 0.94 in the other two clusters. We also found that the concept of sustainability should be included in construction projects from the early stages of design and feasibility studies and must be monitored throughout the project life. This review showed that previous researchers used a variety of statistical and mathematical techniques such as structural equation modelling and fuzzy decision-making methods to study sustainability in construction projects. Using an integrated approach to identifying the research gaps in this area, this paper provides researchers with insights on how to frame new research to study sustainability in construction projects.

Qualitative data can be gathered from an array of rich sources of research information. One of the popular ways to collect this data is by interviewing a range of experts on the topic, followed by transcription, resulting in a database of written documents, often supplemented by other documented data that informs the topic. Thematic or Content Analysis can then be used to explore the data and identify themes of meaning that enlighten the research topic, with the themes being gathered into nodes. The researcher now has an array of nodes, which needs to be organised into a coherent model, and more importantly, one that represents the views of the research informants. To do this with some degree of rigour, the researcher needs some way of ranking the nodes in terms of their relative importance. The node ranking can be based on experience, or on the literature, but neither of these approaches looks to the data itself. If the database contains new or unexpected knowledge, neither experience nor the literature will guide us to it, and vital new insights may easily be missed. The framework outlined in this paper aims to provide a sound first‑cut analysis of the data, based on the evidence in the research interviews themselves. Clearly the literature and research experience have an important role to play in shaping the results of any research. However this paper argues that one should proceed only after the data itself has been offered "the first chance to speak".The node classification matrix detailed here, identifies distinct node categories, each ranging in significance and with particular characteristics that reveal key aspects of the informants' views. In this way the researcher can use the nodes to reveal the voice of the experts, and build a scientifically rigorous set of results from a qualitative database.

Australia has a skills shortage in the defence industry. Growing demand for complex defence systems highlighted the need for additional systems engineers and systems integration specialists. This is compounded by sustained growth in Australia's resources sector, and competition for engineering professionals. The Skilling Australia's Defence Industry (SADI) initiative provides significant funding for new skills activities. This paper describes one such activity; the creation of a Masters degree in Military Systems Integration (MSI). Designing and implementing the program required some novel educational approaches, to capture the value of industry experience, and integrate critical but elusive aspects that require tacit knowledge transfer.

As a region, Western Australia is the largest and most isolated state in Australia, and supports a community of vibrant Arts Organisations. The Arts is widely recognised for its creativity and innovation, but what about the managers of these organisations, are they equally innovative, or entrepreneurial? Rusak (2016) explored this question and found that their Entrepreneurial Orientation (EO) matched the three core dimensions of Innovativeness, Pro-activeness, and Risk-taking, but the study did not include the other two EO dimensions of Autonomy and Competitive Aggressiveness. It did however observe that "arts companies don’t generally try to take offensive postures or aggressive responses to competitive threats and rather work collaboratively, as this sample shows". This assertion was not the focus of the article, nor was it explored in any depth in that paper. There are at least two possibilities here: it could be a passive aversion to competitive aggression, or a more deliberate counter-behaviour of collaboration. Either of these would appear to contradict the EO construct, in particular the expectation that all EO dimensions covary, which makes it interesting from a theory perspective. This paper explores this challenge to the EO theory in some detail, using software-aided analysis to tease out the finer nuances in this dimension of Competitive Aggressiveness. While the sample size and its geographical confines limit the generalisations that can be made, there is solid evidence that in this sample of Arts Managers, the Arts acts as a powerful contextual modifier to the expectations of EO theory. The dimension of Competitive Aggressiveness has not simply been altered or toned-down by this context, it has been replaced by a polar opposite.