What determines the efficiency of Australian mining companies?

We examine the firm‐specific determinants of technical efficiency in Australian mining companies using data envelopment analysis (DEA). To do so, we employ panel data sourced from individual mining companies listed on the Australian Securities Exchange (ASX) over the period 2010–2014. To ensure valid statistical inference in the presence of serial correlation between DEA efficiency scores, we apply Simar and Wilson's two‐stage bootstrap method. We find that ownership concentration, firm size, firm age, product portfolio, product diversification and growth status significantly contribute to efficiency gains. However, other firm‐specific factors, such as capacity utilisation, financial risk and overseas operations appear to have limited impact on the technical efficiency of mining firms.     

Social Planner’s Solution for the Caspian Sea Conflict

This paper evaluates the proposed alternatives for sharing the Caspian Sea from the social planner’s or systems-level perspective with respect to the stakeholders’ utilities from the oil and natural gas resources of the sea. Different multi-criteria decision-making methods, namely dominance, maximin, lexicography, simple additive weighting, and TOPSIS are applied to determine the social planner’s ranking of these alternatives. Results suggest the Condominium governance regime as the most promising division method. Bankruptcy rules and cooperative game theory methods can be considered as the other socially optimal resolutions to the conflict over sharing the Caspian Sea energy resources among its five littoral countries. Consideration of these methods in negotiations may help with resolving the existing deadlock, which has been in place for two decades.     

Fast Kernel Smoothing of Point Patterns on a Large Network using Two‐dimensional Convolution

We propose a computationally efficient and statistically principled method for kernel smoothing of point pattern data on a linear network. The point locations, and the network itself, are convolved with a two‐dimensional kernel and then combined into an intensity function on the network. This can be computed rapidly using the fast Fourier transform, even on large networks and for large bandwidths, and is robust against errors in network geometry. The estimator is consistent, and its statistical efficiency is only slightly suboptimal. We discuss bias, variance, asymptotics, bandwidth selection, variance estimation, relative risk estimation and adaptive smoothing. The methods are used to analyse spatially varying frequency of traffic accidents in Western Australia and the relative risk of different types of traffic accidents in Medellín, Colombia.     

Key factors affecting the hospital performance: a qualitative study using fuzzy logic

Identifying the key factors affecting the hospital performance helps better planning for hospital high performance. The purpose of this study is to provide a combination of qualitative and quantitative methods to investigate the hospital performance. In the qualitative section of this study, factors associated with hospital performance were detected using literature review, interviews, and expert panels. The findings analyzed by one sample t test and categorized by framework analysis method. In the quantitative section of this study, both direct and indirect relationships between factors were measured by using fuzzy Decision Making Trial and Evaluation Laboratory technique to detect influencing and influenced factors. Finally the key factors affecting the hospital performance were detected.     

Service quality aspects and sports scientific conventions: An experience from Iran

This study investigates the role of service quality aspects in a Sport Scientific Convention held in Mashhad, Iran in 2015. A sample of 175 conference attendees were targeted to investigate the quality of services offered, their satisfaction, and intention to return. However, the findings show that the quality of access to destination and venue affect service accessibility quality. The hotel value and hotel staff interaction affect accommodation quality, but the atmosphere of the hotel does not. The internal environment of the venue and its staff interaction affect venue quality in a direct and meaningful way, but venue value does not. In addition, convention process and product affect convention quality in a direct and meaningful way. There is also a direct and meaningful relationship between accommodation quality, venue, and convention quality, and service quality in the sports scientific convention. Access quality, however, is not a part of this relationship. On the other hand, there is a relationship between access quality and satisfaction, and satisfaction affects participants' intent to return to the convention.     

Institutional Ownership Type and Earnings Quality: Evidence from Iran

Institutional ownership is an important factor in corporate governance. Institutional investors play important roles in firms because of their substantial shareholdings and their capability to monitor managers. However, the question is whether they are capable of monitoring the managers. The literature has provided different evidence for the monitoring role of institutional investors. This study attempts to provide insights into the monitoring roles of institutional investors by examining the relationship between institutional ownership and earnings quality on the Tehran Stock Exchange. Institutional investors are classified into two groups, namely active institutional investors and passive institutional investors, based on their monitoring power in Iran. A multidimensional method is used to measure the various aspects of earnings quality, such as earnings response coefficient, predictive value of earnings, discretionary accruals, conservatism, and real earnings management. The results show that institutional ownership has a positive effect on earnings quality. Similar to total institutional ownership, active institutional ownership has positive effects on proxies of earnings quality. Nonetheless, passive institutional ownership does not have any power to affect earnings quality. Moreover, lead-lag tests of the direction of causality suggest that institutional ownership leads to more earnings quality and not the reverse.     

The impact of a STEM-based entrepreneurship program on the entrepreneurial intention of secondary school female students

Despite dedicated effort and research in the last two decades, the entrepreneurship field is still limited by little evidence-based knowledge of the impacts of entrepreneurship programs on the entrepreneurial intention of students in pre-university levels of study. Further, gender equity continues to be an issue in the entrepreneurial sector, particularly in STEM-focused entrepreneurship. In this context, this study was designed to explore the effects of a one-day female-focused STEM-based entrepreneurship program (for brevity, we call it the OzGirlsEntrepreneurship program) on the entrepreneurial intention of secondary school female students. The study collected data from two surveys completed by 193 secondary school female students, aged 14–16 years, who participated in the OzGirlsEntrepreneurship program. This program encouraged girls to develop and implement creative computational solutions to socially relevant problems, with an Internet of Things (IoT) component using the micro:bit device. The findings reveal that a key factor in the development of entrepreneurial attitudes in young female students is associated with soft-skills development, particularly in the areas of creative thinking, risk-taking, problem-solving, and leadership development. The importance of meaningful human connections, including positive role modelling and peer to peer learning were also important factors in fostering entrepreneurial intent. With these factors in mind, our findings highlight that the OzGirlsEntrepreneurship program substantially increased the entrepreneurial intention of secondary school female students. In addition, this study offers actionable implications and recommendations to develop and deliver entrepreneurship education programs for secondary school level students.

     

Antecedents and consequences of tourists’ satisfaction in sport event: Mediating role of destination image

Abstract

In this study, we determined the causal relationship between some of the predictors and outcomes of sports tourists’ satisfaction using structural equation modeling. Motivation and involvement as predictors and behavioral intentions (WOM and intention to revisit) were considered as outcomes. The results indicated the significant mediating role of destination image in the relationship between involvement and satisfaction. So, Event organizers need to pay special attention to the psychological characteristics of tourists, such as their motivations and involvement. As a result, they can take some benefits in behavioral outcomes, such as word of mouths and intention to revisit.     

Re‐Examining the Technical Efficiency of Australian Banks: A Bootstrap DEA Approach

This study re‐examines both pure technical and scale efficiency of Australian banks using bootstrap data envelopment analysis (DEA). The aim is to improve the choice of variables of the core profit efficiency model which is commonly used in earlier Australian banking efficiency studies. After we introduce the “interest income” over “net interest income” variable in the core profit efficiency model, the proportion of fully pure technical efficient banks decreased to 23% which is significantly lower than 81% which was reported in a recent study. This research argues that the main issue that has contributed to this difference is that improving the choice of variables significantly increases the discriminatory power of efficiency estimates. Additionally, emphasising on statistical properties of efficiency estimates, this study employs bootstrap DEA to provide confidence intervals and bias corrected estimates of pure technical efficiency scores of the sample banks. The bootstrap results show the importance of incorporating sample variation and bias in estimating efficiency scores. Earlier Australian banking efficiency studies ignored such issues. The new findings from the sample banks could have important implications for the banking industry in Australia.