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The purpose of this paper is to review the use of various construction procurement systems in the past and present, specifically within the Australian construction industry and to overview the historical development of procurement both globally and in the Australian context through the existing literature.

The paper is an in-depth literature review of various construction procurement systems used in the past and present, both in general and within the context of Australian construction industry.

The findings suggest that even though relationship-based procurement (RBP) systems offer significant benefits to all project participants, they are unproved by many decision makers because of lack of robust theoretical concept and inability in demonstrating value for money (VfM) for public projects, which would be one of the factors causing move away from RBP in the future.

This review is one of its kind. There is no such review done before within the context of Australian construction industry in such a detail. This review is a part of a recently completed PhD study.

The aim of this study is to broaden the understanding of the set of knowledge, skills, attributes and experience (KSAE) that teams should demonstrate and the necessary roles they need to play within the team in Relational Contracting (RC). This research seeks to answer three questions: first, what KSAEs are required in a team operating under RC, second, which of the identified KSAEs are more important to enable an integrated team to perform effectively and third, how do these required KSAEs correspond to the major role clusters identified in Belbin’s team role model?

In-depth interviews with 25 experts and key management representatives in infrastructure construction in Australia were conducted to enable detailed discussion of the research questions.

Sixteen behavioural traits and four knowledge and experience areas were identified. The findings highlight that in RC, team members and especially leaders and managers need to be competent in people-oriented roles, above all others.

This research mainly captured the perspectives of personnel working in state government infrastructure departments. Further research is recommended to explore the perceptions of employees in private construction companies.

By aligning the roles required for RC with the team role clusters of the Belbin’s team roles assessment tool, this study will be useful for identifying suitable members to form high-performance project teams.

The findings of this paper can inform government infrastructure organisations and construction companies as to which roles are more critical when selecting fit-for-purpose teams to successfully deliver large infrastructure projects procured under the RC method.

The purpose of this paper is to explore an interesting complex infrastructure construction case study project in which the initiation/design and delivery phases were managed differently, with diverse assumptions and workplace culture. It uses a recently developed collaboration and relationship-based procurement taxonomy to analyse the decision to commence a project and to deliver the project. The taxonomy tool reveals underlying assumptions and helps explain actions taken. The paper provides a window into the decision-making process. It also illustrates levels of innovation applied at the design and delivery phases.

A case study was undertaken, primarily using recorded and transcribed interviews, with five key senior participants in the project. This gathered a client, designer and contractor perspective that was subsequently analysed using a sense-making approach.

It is possible to start a project adopting a highly collaborative approach that maximises innovation, understanding complexity and developing a design that can then be delivered using a more traditional approach. The taxonomy used demonstrates that it is a useful visualisation tool for this purpose.

The research was limited to the perspectives of only five individuals even though they were key decision-makers and had a robust overview of the project as a whole. The delivery phase was chosen as a matter of policy without the ability to break loose from that policy. The implications for beginning the initiation and design process in a highly collaborative hands-on mode influenced the understanding of all parties involved in the project in a positive direction. The case study was based in Australia, which has extensive experience of collaborative project delivery approaches.

The taxonomy and its ability to provide visualisation of the experienced collaboration presents a powerful tool in helping us understand how it may be useful and what limitations to collaboration exists.

The paper illustrates the value of social interactions as alliance forms tend to consider triple bottom line issues and stakeholder engagement more highly than traditional, transnational approaches to project design and delivery.

The case study was unusual in its technical complexity; however, the main value of the paper is the application of the taxonomy and visualisation tool as a way to better understand how a project is being managed from a collaboration perspective.

This study aims to explore social media capabilities for recruitment in the context of SMEs from the recruiters’ perspective. The conceptual framework is based on a perspective of the RBV that aims to concentrate specifically on the development of IT capabilities in the use of social media for recruitment purposes. In doing so, this study focuses on the following research questions: How do SMEs use social media for recruitment and what are their particularities? What are the capabilities needed to take advantage of social media for recruitment in SMEs? Have these social media capabilities been developed in SMEs? To answer these questions and build an emergent theory about these specific challenges of the digital era, we conducted an interpretive multiple case study in three Canadian SMEs using social media in their HR practices for at least three years.

It was found that there are four main patterns that explain the use of social media for recruitment in SMEs. First, social media is not the first choice when it comes to choosing a recruitment tool. Second, the use of social media for recruitment is not a structured activity. Third, recruiters use social media the same way they do in their own life. Finally, marketing people are often involved in recruitment practices on social media. These patterns stem from the fact that SMEs have shortcomings in their social media capabilities in general and more specifically in recruitment where gaps exist in terms of knowledge, skills, and attitudes. To our knowledge, this study is the first to explore the use of social media for recruitment and to propose an integrated framework to evaluate social media capabilities. Through the identification and the discussion of a series of practices concerning e-HRM, our results are also helpful in a digital context where SMEs are struggling to keep up with the pace of adoption and use of IT in general.

The purpose of this paper is to describe and position the state-of-the-art of text and image mining methods in business research. By providing a detailed conceptual and technical review of both methods, it aims to increase their utilization in service research.

On a first stage, the authors review business literature in marketing, operations and management concerning the use of text and image mining methods. On a second stage, the authors identify and analyze empirical papers that used text and image mining methods in services journals and premier business. Finally, avenues for further research in services are provided.

The manuscript identifies seven text mining methods and describes their approaches, processes, techniques and algorithms, involved in their implementation. Four of these methods are positioned similarly for image mining. There are 39 papers using text mining in service research, with a focus on measuring consumer sentiment, experiences, and service quality. Due to the nonexistent use of image mining service journals, the authors review their application in marketing and management, and suggest ideas for further research in services.

This manuscript focuses on the different methods and their implementation in service research, but it does not offer a complete review of business literature using text and image mining methods.

The results have a number of implications for the discipline that are presented and discussed. The authors provide research directions using text and image mining methods in service priority areas such as artificial intelligence, frontline employees, transformative consumer research and customer experience.

The manuscript provides an introduction to text and image mining methods to service researchers and practitioners interested in the analysis of unstructured data. This paper provides several suggestions concerning the use of new sources of data (e.g. customer reviews, social media images, employee reviews and emails), measurement of new constructs (beyond sentiment and valence) and the use of more recent methods (e.g. deep learning).