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In Australia, as in many other countries, initiatives are constantly being developed which aim to assist school students’ transition into work. One such initiative, which was introduced towards the end of the 1990s, was the introduction of school‐based apprenticeships and traineeships, often referred to by the umbrella term “school‐based new apprenticeships” (SBNAs). Students taking part in these programs, normally in the final two years of schooling (Years 11 and 12), combine part‐time work, study towards a vocational education and training (VET) qualification, and normal attendance at school. This paper reports on the first large‐scale research study of school‐based apprentices and trainees, which was carried out in late 2001 through a survey of students involved in the programs. The survey was carried out in the three Australian States with the highest numbers of school‐based apprentices and trainees, Queensland, Victoria and South Australia. The paper commences with a description of the nature of school‐based apprenticeships and a description of their introduction and rapid growth. It then gives an overview of the young people’s jobs, their learning and training, and concludes by discussing four problematic areas.

This paper aims to analyze whether a relationship exists between the debt structure concentration and investment–cash flow sensitivity of Brazilian companies.

The study is based on a sample of 500 Brazilian firms (337 unlisted and 163 listed) in the 10-year period from 2010 to 2019 analyzed according to the investment–cash flow sensitivity model.

The results show evidence that companies with more concentrated debt structures tend to have lower investment sensitivity to internal cash flow. In other words, firms with a greater concentration of debts tend to have less investment–cash flow sensitivity. In general, the results are robust to (1) variation of the debt concentration proxy and the independent variable; (2) the control of fixed effects in different dimensions and (3) use of estimator for endogeneity treatment, i.e. two-stage least squares (2SLS) and generalized method of moments (GMM).

Various studies have investigated whether specific financing sources reduce financial constraints, but few have addressed the relationship between debt concentration and these constraints. Besides this, to the best of the authors’ knowledge, no previous study has investigated the mentioned relationship in a sample of unlisted firms. This analysis is relevant since the effects of financial constraints tend to be stronger on companies that have restricted access to the capital market.

An investigation of how secondary history teacher education candidates implemented research-based instructional practices for instruction is described as a model of pre-service teacher preparation for social studies teachers. Cohorts of candidates participated in a five-year project while enrolled in a discipline-specific capstone senior methods course and subsequent student teaching experiences. Candidates were surveyed and interviewed concerning their use of, and feelings about, twelve instructional strategies developed with a focus on authentic history pedagogy. Surveys were administered three times: before the secondary social studies methods course, after the methods course, and after student teaching. A variation on the Concerns-Based Adoption Model was used to measure the levels of use and stages of concern of the candidates. Artifacts of practice, including lesson plans from a model unit plan and actual student teaching, also were analyzed to document use of the strategies. Results indicate an increasingly high level of implementation of and comfort with the strategies, as well as the developmental nature of the process. Implications and recommendations for pre-service activities in history teacher education are presented.

The strategic management literature emphasizes the concept of business intelligence (BI) as an essential competitive tool. Yet the sustainability of the firms’ competitive advantage provided by BI capability is not well researched. To fill this gap, this study attempts to develop a model for successful BI deployment and empirically examines the association between BI deployment and sustainable competitive advantage. Taking the telecommunications industry in Malaysia as a case example, the research particularly focuses on the influencing perceptions held by telecommunications decision makers and executives on factors that impact successful BI deployment. The research further investigates the relationship between successful BI deployment and sustainable competitive advantage of the telecommunications organizations. Another important aim of this study is to determine the effect of moderating factors such as organization culture, business strategy, and use of BI tools on BI deployment and the sustainability of firm’s competitive advantage.

This research uses combination of resource-based theory and diffusion of innovation (DOI) theory to examine BI success and its relationship with firm’s sustainability. The research adopts the positivist paradigm and a two-phase sequential mixed method consisting of qualitative and quantitative approaches are employed. A tentative research model is developed first based on extensive literature review. The chapter presents a qualitative field study to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. The study includes a survey study with sample of business analysts and decision makers in telecommunications firms and is analyzed by partial least square-based structural equation modeling.

The findings reveal that some internal resources of the organizations such as BI governance and the perceptions of BI’s characteristics influence the successful deployment of BI. Organizations that practice good BI governance with strong moral and financial support from upper management have an opportunity to realize the dream of having successful BI initiatives in place. The scope of BI governance includes providing sufficient support and commitment in BI funding and implementation, laying out proper BI infrastructure and staffing and establishing a corporate-wide policy and procedures regarding BI. The perceptions about the characteristics of BI such as its relative advantage, complexity, compatibility, and observability are also significant in ensuring BI success. The most important results of this study indicated that with BI successfully deployed, executives would use the knowledge provided for their necessary actions in sustaining the organizations’ competitive advantage in terms of economics, social, and environmental issues.

This study contributes significantly to the existing literature that will assist future BI researchers especially in achieving sustainable competitive advantage. In particular, the model will help practitioners to consider the resources that they are likely to consider when deploying BI. Finally, the applications of this study can be extended through further adaptation in other industries and various geographic contexts.

This study aims to investigate the influencers’ credibility dimensions (i.e. attractiveness, trustworthiness, expertise) on purchase intention (PI) through the mediating role of cognitive and affective online engagement among the aesthetic dermatology consumers in Jordan.

The population of this study entails all followers of aesthetic dermatology clinics on their Instagram accounts. However, only three influencers from the aesthetic dermatology industry were selected and approved the request of sharing the survey instrument on their official platforms. Overall, 600 surveys were distributed, but only 384 were completed fully, constituting a 64% response rate.

The data analysis revealed an excellent fit for the data and indicated an impact of attractiveness and expertise on online engagement and PI. Moreover, a mediating influence was also found for online engagement on the path between influencer credibility and PI.

This study has a limitation of collecting the data from only three influencers; consequently, collecting data from the followers of more than four influencers would get more generalizable results. Second, considering further, examining the mediating role of other variables such as electronic word-of-mouth (EWOM) and loyalty programs could also provide further insights onto the nature of the factors affecting the PI. In addition, future studies should examine the differences of using more than one social media platform.

The main findings of this study have a number of managerial implications for marketing management that hint at liking the influencers who are highly trusted owing to their extensive expertise in the area they are marketing rather than only depending on their physical attractiveness. The Jordanian culture does not focus only on the image shared by the social media as the reviews can either support or decline the influence of even the celebrity. Significantly, a set of managerial implications come from the current research.

Two major areas are the most important; these are the trustworthy issue and the EWOM. The marketers should encourage their customers to openly talk about their experiences as they have an imperative role in liking influencers in a way that improves their PI. The second implication is related to social media platforms management that marketing managers should resolve any negative EWOM caused and to enhance followers’ satisfaction levels of the services. The increase in satisfaction positively affects PI, and the service makes the influencer role become more effective.

This study was able to add a value to the current understanding of the main antecedents of customer engagement by looking at these dimensions of perceived credibility. Another contribution was captured in this study by successfully validating the meditating impact of customer engagement between influencers’ credibility dimensions and PI, especially in the absence of the studies that have addressed such relationship.

The Bureau of Economics in the Federal Trade Commission has a three-part role in the Agency and the strength of its functions changed over time depending on the preferences and ideology of the FTC’s leaders, developments in the field of economics, and the tenor of the times. The over-riding current role is to provide well considered, unbiased economic advice regarding antitrust and consumer protection law enforcement cases to the legal staff and the Commission. The second role, which long ago was primary, is to provide reports on investigations of various industries to the public and public officials. This role was more recently called research or “policy R&D”. A third role is to advocate for competition and markets both domestically and internationally. As a practical matter, the provision of economic advice to the FTC and to the legal staff has required that the economists wear “two hats,” helping the legal staff investigate cases and provide evidence to support law enforcement cases while also providing advice to the legal bureaus and to the Commission on which cases to pursue (thus providing “a second set of eyes” to evaluate cases). There is sometimes a tension in those functions because building a case is not the same as evaluating a case. Economists and the Bureau of Economics have provided such services to the FTC for over 100 years proving that a sub-organization can survive while playing roles that sometimes conflict. Such a life is not, however, always easy or fun.

In this article, a practical design methodology is proposed for discrete sizing optimization of high-rise concrete buildings with a focus on large-scale and real-life structures.

This framework relies on a computationally efficient approximation of the constraint and objective functions using a radial basis function model with a linear tail, also called the combined response surface methodology (RSM) in this article. Considering both the code-stipulated constraints and other construction requirements, three sub-optimization problems were constructed based on the relaxation model of the original problem, and then the structural weight could be automatically minimized under multiple constraints and loading scenarios. After modulization, the obtained results could meet the discretization requirements. By integrating the commercially available ETABS, a dedicated optimization software program with an independent interface was developed and details for practical software development were also presented in this paper.

The proposed framework was used to optimize different high-rise concrete buildings, and case studies showed that material usage could be saved by up to 12.8% compared to the conventional design, and the over-limit constraints could be adjusted, which proved the feasibility and effectiveness.

This methodology can therefore be applied by engineers to explore the optimal distribution of dimensions for high-rise buildings and to reduce material usage for a more sustainable design.

This study examines short selling as one external determinant of corporate tax avoidance. Prior research suggests that short sellers have information advantages over retail investors, and high short-interest levels are a bearish signal of targeted stock prices. As a result, when short-interest levels are high, managers have been shown to take actions to minimize the negative effect of high short interest on firms’ stock prices. Tax-avoidance activities may convey a signal of bad news (i.e., high stock price crash risk). We predict that, when short-interest levels are high, managers possess incentives to reduce firm tax avoidance in order to reduce the associated stock price crash risk. Consistent with this prediction, we find that short interest is negatively associated with subsequent tax-avoidance levels. This effect is incremental to other factors identified by prior research. We conclude that short selling significantly constrains corporate tax avoidance.