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The purpose of this study is to investigate and rank the critical factors influencing the bid/no bid criteria and their importance in the Australian construction industry.

The research study has been undertaken by conducting an extensive literature review on bid/no bid decision-making criteria. As a result, the researchers identified 26 most common bid/no bid decision-making criteria that are accordingly grouped into five distinct categories, namely, “project”, “market”,“contractor”, “client” and “contract”. The literature review was followed by a national survey that was designed and utilised by the researchers to collect data for this purpose. The survey was sent to potential 450 Australian construction companies in various locations and responses were received from 81 Australian construction companies. Response data were subjected to descriptive and inferential statistics. Kruskal Wallis one-way analysis of variance (ANOVA) was applied to detect significant differences between the mean score grouped according to the organisation size (contract value).

The descriptive and empirical analysis demonstrated a disparity of ranking of the 26 bid/no bid criteria factors among the groups; however no statistically significant differences among the 26 bid/no criteria factors despite the absolute differences in the rankings and mean scores in the following four factors: (1) “bidding condition”, (2) “strength/weaknesses”, (3) “contract payment terms” and (4) “number of competitors/bidders”. Based on the overall sample, the highly ranked four factors were “client financial capability”, “project risk”, “project future benefits and profitability” and “number of competitors/bidders”. The following were the least ranked: “contractors’ financial situation”, “project duration” and “contractors’ material availability”. “Client financial capability”and “project risk” were jointly ranked as the most important by large, whereas “client financial capability” was also rated highly for smaller Australian construction contractors (ACCs). The medium ACCs had “project risk”as highly ranked.

The majority of the participants were small construction contractors in Australia. The reason is that the researchers were not aware of the contractors’ size prior to inviting them for participation in the research study. Second, the findings may not generalise to other industries or to organisations operating in other countries.

The identified “bid/no bid criteria” increase the awareness of existing decision-making practices and play a critical role in the future decisions of the construction companies, where decision makers need to evaluate the next opportunities encountered. Furthermore, knowledge and possession of these identified “bid/no bid” criteria would enable contractors to select a project with a higher probability of success in the future, which will accordingly result in long-term financial benefits and higher performance. Finally, the awareness of these factors could contribute to changing the contractor’s behaviours when bidding in a competitive environment or market conditions.

The study contributes to the body of knowledge on tendering and bidding practices among contractors in Australia, an area previously under explored. Second, this study provides some insights on the factors influencing the bid/no bid decisions among the ACCs.

This chapter presents findings from a recently conducted process for obtaining Accounting Advisory Board (AAB) input related to Master of Accountancy curriculum of one university. Board members represent both large and small public accounting firms as well as corporate offices of Fortune 500 companies and non-profit organizations. AAB input includes perceptions of the relative importance of over 160 candidate topics for the courses making up the program’s infrastructure, as well as written comments noting other potential topics and pedagogical approaches to consider. Comparisons of topic rankings reveal a strong level of consistency among Board member types for the traditional accounting courses with structured content, as opposed to those courses involving more systems-related topics or having a wider range of specialized topics. Furthermore, the authors compare Board perceptions regarding topic necessity to those of faculty and note faculty reactions. Specifically, the authors find that faculty ranking consistency with the Board is weak, illustrating the importance of seeking curricular Board input on an ongoing basis. To “close the loop,” faculty incorporated many curriculum changes, involving both the topics to be covered and the overall approach to the course.

Fault tree analysis (FTA) is a technique widely used in the study of the reliability of industrial systems and to quantify risks associated with potentially hazardous systems. Most of the studies carried out are related to how to construct a fault tree and how to carry out qualitative and quantitative analysis. However, this paper studies an approach for prioritisation and optimum resource allocation by making use of the FTA technique. The basic idea is to develop a simple procedure for the ranking of basic elements in the complex system, so that maximum increase in reliability can be achieved. We compare our approach with the existing basic event importance measures, and show that the simple approach is easy to apply and provides ranking that is similar to other more complicated approaches. In addition, the new ranking approach can be used at the initial stages of fault tree construction as it does not require the whole fault tree to be completely developed.

University rankings and metrics have become an increasingly prominent basis of student decisions, generalized university reputation, and the resources university’s attract. We review the history of metrics in higher education and scholarship about the influence of ranking on the position and strategic behavior of universities and students. Most quantitative analyses on this topic estimate the influence of change in university rank on performance. These studies consistently identify a small, short-lived influence of rank shift on selectivity (e.g., one rank position corresponds to ≤1% more student applicants), comparable to ranking effects documented in other domains. This understates the larger system-level impact of metrification on universities, students, and the professions that surround them. We explore one system-level transformation likely influenced by the rise of rankings. Recent years have witnessed the rise of enrollment management and independent educational consultation. We illustrate a plausible pathway from ranking to this transformation: In an effort to improve rankings, universities solicit more applications from students to reduce their acceptance rate. Lower acceptance rates lead to more uncertainty for students about acceptance, leading them to apply to more schools, which decreases the probability that accepted students will attend. This leads to greater uncertainty about enrollment for students and universities and generates demand for new services to manage it. Because these and other system-level transformations are not as cleanly measured as rank position and performance, they have not received the same treatment or modeling attention in higher education scholarship, despite their importance for understanding and influencing education policy.

Quality criteria of The Malcolm Baldrige National Quality Award (MBNQA) have been used as a standard for organisational self‐assessment and benchmarking. The threefold purpose of this paper is: to analyse the individual weights of the MBNQA criteria for organisations of the construction and the manufacturing industry within the GCC (Gulf Cooperation Council) countries in order to create a basis for self‐assessment and benchmarking; to identify differences of criteria importance between the construction and the manufacturing industry (external alignment) in order to identify challenging areas on TQM when two organisations from the respective industries collaborate; and to compare the perspectives of project managers with those of quality management representatives (internal alignment) in order to identify challenging areas on an organisation's TQM caused by not aligned or contradicting perspectives.

Questionnaire based in‐depth interviews of GCC project managers and quality management representatives were analysed using a fuzzy analytical hierarchy process (AHP) to calculate the weights and subsequent ranking of seven quality criteria.

When compared to the original weights of the MBNQA criteria, the “results” criterion was found to be ranked the same. However, clear differences were identified regarding the criteria “leadership” and “measurement/analysis”. The differences between the two analysed industries were not significant, whereas project managers and quality management representatives have clearly differing views on all seven criteria.

First, the analysed ranking of MBNQA quality criteria in the GCC countries gives organisations of the construction and the manufacturing industry a benchmark for comparison with their ranking of the MBNQA criteria. Second, clients may assume a common and hence strong basis for TQM when organisations belonging to the construction industry collaborate with organisations belonging to the manufacturing industry. Third, the organisations’ internal communication between project managers and quality management representatives needs to be improved in order to pursue common TQM goals effectively.

The number of studies on the use of choice cues in the purchase decision of a smartphone does not appear to be extensive, given the size and rate of growth of the market. Surprisingly, it appears that no study of this type in the Chinese context has been undertaken. Therefore, the purpose of this paper is to fill the existing gap in the marketing literature in this area.

Best–Worst (BW) scaling method was used in the study. It is suggested that the method overcomes some of the biases commonly found in surveys where Likert-type scales are used, and it has superior discriminating power, because respondents are asked to rank the most and the least important factor from a group, and are thereby forced to make tradeoffs between factors.

Among the 13 choice cues, connectivity, price and memory capacity are found to be the most important, whereas recommendation from others, ease of handling and availability of apps are found to be the least important. Findings due to gender, income and age difference were also analyzed and discussed for orderly decision-making purposes.

The ranking of factors showing what choice cues consumers consider most or least important in a particular market helps practitioners to develop appropriate adaptation strategies for the market. The comparison of findings for gender, income and age difference can further help practitioners to devise various alternative marketing strategies for different market segments and identify underserved segments, if any.

The BW scaling method, however, appropriate in ranking order of importance, had never been used in ranking choice cues of smartphone purchase. Moreover, there seems to be a dearth of studies about ranking of choice cues on smartphone purchases in the Chinese context.

An experiment is undertaken to assess how the level of information provided to survey groups impacts upon the decisions they make. In this experiment, a group of experts is surveyed first to determine both the forms and levels of information important to them regarding an obscure environmental resource (remote mountain lakes), as well as their ranking of particular examples of these resources in accordance with their own criteria. Then three different groups of respondents are given different levels of this information to assess how their WTP for the resources responds to varying levels of this information, and how their rankings of the different goods alters with the information provided. The study reports evidence that generally increased levels of information provide significant quantitative changes in aggregate WTP (the enhancement effect), as well as a credible impact on their ranking of the various goods. On closer examination, much of the enhancement effect appears to be attributable to the changes in ranking, and to changes in the WTP for a single lake at each level of information. In addition the ranking does not respond in any consistent or coherent fashion during the experiment until the information provided is complete, including a ranking of subjectively reported importance by the expert group, and then the survey group converges upon the expert's group rankings. In sum, the experiment generates evidence that is both consistent with the anticipated effects of increased levels of information but also consistent with the communication of information-embedded preferences of the expert group. It may not be possible to communicate expert-provided information to survey groups without simultaneously communicating their preferences.

The aim of this chapter is to develop a conceptual model for the analysis of sustainable development and the ranking of cities based on selected standard criteria and metrics of smart cities. The conceptual framework contains standard and measurable indicators that influence the creation and survival of smart cities that could be self-sustaining, Green Resilient. We can measure the level of smartness of cities from two perspectives, first from the point of view of the degree of automation of services, infrastructure, buildings, transport, etc. and second from the point of view of planning the further development of the city in order to raise the quality of life of its citizens. Indicators should satisfy the principles of specificity, measurability, availability, relevance and timeliness (Schomaker, 1997). Researchers in the field of smart cities define different sets of characteristics, on which they construct a system of indicators that together describe the degree of development of a smart city. It must be taken into account the fact that there is no single set of indicators that would refer to the level of smartness of the city. It is a complex phenomenon, which occurs differently depending on the conceptual framework and the goal of classifying cities according to the complex characteristics of smartness, especially if you take into account the fact that the general well-being and quality of life of citizens are more important than only indicators of the quality of city services.

Determining the attributes of effective business teachers is critical to schools as they strive to attract and retain students, assure learning, obtain and maintain reputation and accreditations, and place their alumni in the competitive job market. The purpose of this paper is to examine students and faculty perceptions of teaching effectiveness in five culturally disparate countries: Colombia, France, Lebanon, Sweden, and the USA.

A survey was designed based on previous research complemented by an extensive literature review as well as personal communications with faculty in different international business schools. The survey considered 39 teaching attributes related to three specific dimensions: class delivery, class preparation and design, and instructional traits and personal characteristics. The survey targeted students and faculty from seven business schools located in five countries.

This study offers new conceptual and analytical analyses from a cross-country comparative perspective. Rankings of the importance of perceived teaching attributes for both major groups involved in the teaching of business, faculty and students, are reported. The attributes are also ranked by teaching taxonomy and examined across countries.

This study provides practical results that can be useful to instructors wishing to increase their teaching effectiveness and to universities considering revising their student evaluation forms.

This study includes data collected from faculty and students from several schools located in culturally disparate countries and, thus, increases the applicability of the results in a cross-cultural manner and provides implications for practice internationally.

Leaders in education face diverse challenges in an increasingly competitive and changing environment. Although women numerically dominate the workforce, senior managers are predominately men. The purpose of this paper is to examine leadership skills required for senior management roles in vocational education training (VET); determine if the ranking of importance of skills differs by gender and if the ranking contributes to women not advancing to senior management roles. As skills are abilities that can be developed and learned focusing on leadership skills will provide further insight into leadership and influence leadership development programs in VET to re-orientate women into senior management roles.

The methodology was based on the theoretical framework of the Leadership Skills Strataplex Model (LSSM). The model categorises leadership skills into cognitive, interpersonal, business and strategic skills and determines skill requirement based on management level. A quantitative study with data collected from an online survey completed by 100 senior managers employed in Australian VET, with an even distribution of men and women, identified leadership skills and ranked the importance of the skills. Analysis of the data was conducted using correlation test and principal factor analysis.

Both men and women identified that cognitive, interpersonal, business and strategic skills were required for senior management roles in VET; however, they ranked the importance of these skills differently. Men ranked business and strategic skills as the most important whilst women ranked cognitive and interpersonal skills. The findings provide insight into how gender influences leadership with men focused on task-orientated leadership skills whilst and women focused on relationship development leadership skills.

The major limitation of this study was that the results were derived from the employees’ perspective and not that of the employer. However, the limitation does not detract from the overall contribution, this study makes to leadership, leadership skills and VET. The findings of this study suggest that further education leadership research is warranted as most studies are predominately focused on leadership theory with limited reference to leadership skills.

The findings of this study provide practical implications to inform VET leadership professional development programs for teachers and managers to focus on leadership skills. The difference in ranking of importance of leadership skills by men and women highlights that focusing on specific leadership skill development of cognitive, interpersonal, business and strategic skills for aspiring managers may help re-orientate women into senior management roles.

The use of the LSSM, previously used in government and higher education to identify leadership skills, the online survey as the data collection tool and quantitative analysis provides originality in the methodology rarely seen in VET education. The study adds value to education management, VET, leadership, and gender research by providing insight into leadership skills.