Embracing rigour : developing a community engagement framework for strategic urban planning

Local governments are increasingly seeking new ways to engage with communities through a variety of productive avenues. Yet strategic planning lags behind with an accepted method to consult and engage with communities about proposed policy changes. When engagement methods are used which go beyond those which are legislated for, the process often involves members of communities who are familiar with planning processes, or have time to participate, thereby excluding large sections of the community. In addition, consultation methods often lack rigour in data collection upon which major strategic decisions are based, thereby undermining government's capacity to make quality and informed planning decisions. The aim of this paper is to assist local government urban planners with their community engagement practice in order to form policies which are acceptable to the affected communities. The paper proposes a community engagement framework which introduces rigour within the community engagement process by drawing on research methods from psychology and political science.

Differences in the role of market research and internal CRM according to strategy type

The traditional or conventional role of market research is one of enabling marketing managers to make informed decisions about key strategic issues and likewise reduce chances of poor strategic decisions. (Hamlin, 2000; Raguragavan et al., 2000) Yet recent literature suggests marketing research is becoming marginalized in supporting strategic decisionmaking. (Weber, 2001) In addition internal CRM is emerging as a viable source of aggregated customer intelligence (Malhotra and Peterson, 2001). Very few studies have explored the contingent role business strategy may have in explaining either the changing role of market research or the emergence of internal CRM systems. This study involved a cross-industry postal survey of 240 Australian marketing managers. One contribution of this study was to find market research having a greater role in supporting productivity and political outcomes for Prospector strategies when compared to both Defender and Analyzer strategies. The findings also showed Prospector strategies to have more sophisticated internal CRM systems than Defender strategies.

Cross-cultural differences in consumer decision-making styles

This article compares consumer decision-making styles between Singaporeans and Australians. Utilising Hofstede’s framework, the paper argues that cultural dimensions influence consumer decision making styles. It is essential that managers understand cross-cultural consumer decision-making styles to make strategic decisions or effectively handle members of these nationalities. Marked differences were found between the two populations for: brand consciousness, innovativeness and overchoice confusion. The results suggest that some consumer decision-making styles differ due to consumers’ cultural values. Managerial implications and future research directions are discussed.

Towards the development of a conceptual design management model for remote sites

Remote and environmentally sensitive sites present unique challenges for participants involved in the design and construction process. Worldwide advances in information technology coupled with improved site accessibility and manageability has enabled the construction industry to undertake such projects with greater ease. Furthermore, research on information technology in construction has begun to focus our attentions on our increased ability to work virtually in distributed teams. These remote sites have a range of development potential as clients have varied interests including; tourism, scientific investigation and resource exploration and processing which impact upon the management of the design process. These sites pose unique challenges to the project teams and in particular for the management of project design. The conceptual design phase is often marked by an iterative and creative process, which tends to be a sociologically oriented world where designers respond to a range of functional, aesthetic, environmental and even spiritual concerns. Strategic decisions made during the briefing and conceptual design stage may impact upon construction logistics and sustainability. Detailed design for construction tends to be a production oriented world. There is a significant body of literature that addresses the application of lean thinking to improving the interface between detailed design and construction production. There is little literature that takes a holistic view of design management for remote sites. The lean design management field of research has much to contribute to the design management of these projects. The review of the literature indicated that much of the lean thinking has been primarily concerned with sequential production. However, lean thinking is based upon principles of flow and value, which is also conducive to the complex process involved in design management for remote sites. A conceptual model is developed that considers both the production and sociological approaches to design management, in response to the peculiar demands of the site and their project teams.

Malmquist indices of total factor productivity changes in the Australian construction industry

Construction is an important industry and forms a vital part of national economics in the world. Factors affecting the productivity of the construction industry should be measured appropriately to reflect its development situation and economic performance. The Malmquist index method with a novel decomposition technique is employed to estimate the total factor productivity of the Australian construction industry during the period 1990-2007 and to analyse the factors affecting the technological change in the industry. Research results exemplified by two input variables and one output variable elaborate how construction technology, pure technical efficiency and scale economy take effect in the change of construction productivity. In addition, based on temporal and spatial comparisons, the analysis for construction productivities reveals their changes over time and across the country. Proposals and recommendations are expected to be beneficial for policy making and strategic decisions to improve the performance of the Australian construction industry.

Construction capital productivity measurement using a data envelopment analysis

During the past few decades, the construction industry has experienced a series of changes including the innovation of construction technologies and the enhancement of management strategies. These improvements should have had a considerable effect on industrial efficiency and productivity performance, but research is needed to address whether the capital productivity levels of the construction industry have in fact shown such a huge improvement. This paper aims to develop an analysis procedure to measure capital productivity changes and to reasonably quantify factors affecting productivity levels in the construction industry. Based on the data envelopment analysis method, this research has developed a novel model measuring capital productivity and has applied it to the Australian construction industry. The numerical results indicate that the average annual capital productivity levels of the construction industry are slowly growing in all the Australian states and territories except for Queensland and Western Australia. In addition, construction technologies are shown to have a close relationship with the changes in capital productivity according to the temporal-spatial comparisons of productivity indices. The research findings are expected to be beneficial for making policy and strategic decisions to improve the capital productivity performance.

Labour productivity measurement with variable returns to scale in Australia's construction industry

As an important productivity indicator, the change of labour productivity is one indispensable marker in determining the rise or fall of overall industrial performance. This study aims to address whether the labour productivity level of the Australian construction industry has, in fact, shown a huge improvement during the last few decades. This article constructs a measuring method estimating labour productivity changes based on the data envelopment analysis technique with variable returns to scale. By adopting a production frontier approach, the labour productivity index can be broken down into components attributable to efficiency change, technological progress and capital accumulation. The numerical results exemplified by a single-input and single-output system indicate that the average annual labour productivity levels of the construction industry are slowly growing in all the Australian states and territories. However, the year-on-year change in the overall labour productivity performance does not maintain a long-term increase over the period 1990–2008. The study forms the basis for further industrial productivity research. Proposals and recommendations are expected to be beneficial for making policy and strategic decisions to improve the performance of the construction industry.

The Strategic outsourcing Decision of IT and eCommerce: The Case of Small Businesses in New Zealand

In New Zealand, small to medium-sized enterprises (SMEs) play a very important role in the economy by their contribution to both employment and gross domestic product. Addressing issues pertinent to SMEs is of paramount importance in driving this sector forward. Information Technology (IT) emerges as one main enabler for SMEs in automating their operations, seeking new opportunities and enhancing their strategic business positioning in local and international markets. However, the inability of SMEs to handle the dynamic nature of IT due to problems inherent in their size, structure and resources, makes it difficult for them to take appropriate decisions to benefit from the IT technologies. The advent of eCommerce (EC) has only compounded this problem. One way out of this complex situation is to outsource the IT and EC technology requirements by the SMEs. This study endeavours to identify the pattern of IT and EC outsourcing issues of SMEs within New Zealand. This research attempts to identify the main driver for IT/EC outsourcing in SMEs as well as to explore the problems of IT outsourcing and makes suggestions for further research in this crucial sector.

Deconstructing power within a strategic information system

Strategy is a political act, and yet that has received very little attention in IS strategy research. The purpose of this paper is to explore the mixes between politics, power and strategy using a case study of implementation of a Student Administration System. This takes Strategic Information Systems out of the realm of the purely socia-technical view of information systems and moves it into a dimension which deals with the real social interactions that occur within organisations as a result of the implementation of a strategy in the form of a Student Administration System. This case study shows the power struggles, primarily by two Senior Executives and the users of the information system. The discourse behind this project was initially to create uniformity across a system therefore enabling more than 30 universities around Australia to move from a diversified system to a centralized system. It was through this resistance and through their positions that the two Senior Executives were able to create the discourse that framed many of the decisions and implementation of the system. There eventually became an acceptance that it was for the social good of the University that the Student Administration System was adopted across the University of Australia.

Strategic decision-making and emotions

Senior management decisions play a critical role not only in organizational performance but also in the competitiveness of Australia in the international arena. In this conceptual paper, I present a multi-level model of affect in strategic decision-making to understand the impact that emotions have on senior managements' decision-making processes. The aim of the model is to extent on current theory (specifically Affective Events Theory) to minimize the negative impact of emotions on decision-making to produce high quality decisions and, consequently, more effective and competitive organizations. Hypotheses, practical implications and future research opportunities are also discussed.

Consideration of selflessness and self-interest in outsourcing decisions

Purpose – The paper aims to discuss the need to balance selflessness and self-interest issues in outsourcing decisions. This discussion is timely given the tensions that currently exist between those who want off-shore outsourcing to continue as a means for increasing international trade, and those who only want to conduct business on-shore.

Design/methodology/approach – A conceptual approach has been taken in this paper in order to highlight key considerations for ethical decision-making with respect to off-shore outsourcing.

Findings – Considerations of selflessness and self-interest are embedded in outsourcing decisions. It is recommended that a balance between making profits and fulfilling social responsibilities is required, ideally, at each stage of decision-making. Hence, managers should think critically about the reasons behind off-shore outsourcing decisions, the process of arriving at decisions, and the impact of their decisions on stakeholders.

Research limitations/implications – This is a conceptual paper and further empirical data to validate the stages of decision-making framework are required.

Practical implications – Failure to take into account the selflessness and self-interest outcomes of off-shore outsourcing could potentially off-set strategic gains by leading to negative media publicity for a company.

Social implications – Ethical considerations as part of outsourcing decisions should result in a transparent, fair and more humane working environment for both the host and the home country representatives involved in the process.

Originality/value – This paper presents an original framework of selflessness and self-interest considerations when making off-shore outsourcing decisions. Both Eastern and Western business perspectives have been incorporated as part of the decision-making framework.

Making decisions about fertility : three facts GPs need to communicate to women

Background Average annual fertility rates in industrialised countries have been below two children per woman for the past 3 decades. The reasons behind women’s childbearing behaviour are complex. However, a lack of awareness regarding the consequences of delayed childbearing and the inability of reproductive technologies to overcome the ‘biological clock’ may be contributory factors.

Objective A narrative review guided by the research question: What do women need to know about the consequences of delayed childbearing in order to make informed decisions about their fertility?

Discussion There are three facts that women need to know in order to make informed decisions around their fertility: Some women want to have more children than they are able to have because they postpone childbearing; there can be medical consequences to delaying childbearing and; some women’s ideas about their fertility don’t match the ‘the scientific facts’. General practitioners are well placed to play a strategic role in the provision of timely, relevant information to help women make informed decisions about their fertility. Further research is needed to identify the most appropriate ways for GPs to communicate this information.

Supporting athlete selection and strategic planning in track cycling omnium: A statistical and machine learning approach

This article describes the implementation of machine learning techniques that assist cycling experts in the crucial decision-making processes for athlete selection and strategic planning in the track cycling omnium. The omnium is a multi-event competition that was included in the Olympic Games for the first time in 2012. Presently, selectors and cycling coaches make decisions based on experience and opinion. They rarely have access to knowledge that helps predict athletic performances. The omnium presents a unique and complex decision-making challenge as it is not clear what type of athlete is best suited to the omnium (e.g., sprint or endurance specialist) and tactical decisions made by the coach and athlete during the event will have significant effects on the overall performance of the athlete. In the present work, a variety of machine learning techniques were used to analyze omnium competition data from the World Championships since 2007. The analysis indicates that sprint events have slightly more influence in determining the medalists, than endurance-based events. Using a probabilistic analysis, we created a model of performance prediction that provides an unprecedented level of supporting information that assists coaches with strategic and tactical decisions during the omnium.