Background:Amid increasing leadership failures in the global business context, the mining industry is one of the industries with many adverse incidents, affecting employee safety, the environment, and surrounding communities. Emerging economies tend to have unique socio-economic challenges and greater relative economic dependence on mining, presenting unique challenges to leaders. The purpose of this research was to study the realities of responsible leadership in the mining industry in an emerging economy. Methods:A qualitative research study, consisting of semi-structured interviews was conducted. Nine senior mine managers were selected to represent perspectives from different operations and mining houses. Data was gathered from August to October 2020 in South Africa, an emerging economy with significant mining operations. A thematic analysis of interview transcripts was conducted through the use of software, rendering five themes, with 12 sub-themes.Results:The research found that requirements on mining leaders in emerging economies demand consistent balancing of a complex set of competing risks, whilst attending to paradoxical requirements among operations, and internal and external stakeholders. Leaders face several competing requirements from stakeholders, the environment, mining practices, and time frames. Responsible leaders must navigate a paradoxical maze of needs and time horizons, with several conflicting forces and dilemmas, and dichotomous relationships. Responsible leadership in the mining industry of an emerging economy is a proverbial minefield of paradoxes and dilemmas between responsible intentions and practical realities. These paradoxes and dilemmas are specifically acute in the context of emerging economies due to the dire socio-economic situations. A total of 10 competencies emerged as essential responsible leadership requirements in this context.Conclusions:The study provides an in-depth understanding of the intricacies of responsible leadership in the mining industry of an emerging economy. This understanding will contribute to capacitating leaders in the mining industries of emerging economies to act responsibly.

The world over is becoming urbanized, and people are migrating to cities in large numbers in search of opportunities. The increased urbanization has posed challenges such as congestion, rising crime, and growing urban poverty. The governments respond by providing amenities such as schools, hospitals, and housing to meet to increase in demand for these facilities. However, there is a need for the provision of facilities that meets the expectations of the people, particularly on the proximity of amenities and bundles of utility-bearing housing characteristics. In an attempt to address the challenge mentioned, the study estimated the hedonic characteristics influencing the willingness to accept and willingness to pay for housing facilities in the Eastern Cape Province, South Africa. Using a multiple linear regression model and artificial neural network, the study found out that properties with a bathroom, garage and large floor size have a higher value compared to properties without these facilities.When making decisions to acquire a property, buyers consider the availability of discounts and the prevailing property price. Overall, willingness to pay and accept decisions are mainly determined by location and the price at which homogeneous neighborhood properties were sold. Therefore, the study recommends that urban town planners and other housing authorities prioritize the construction of properties with larger floor areas, parking bays, and bathrooms using a cost-effective mechanism that makes the properties affordable to residents.

Background: The ideas-informed society represents a desired situation in which: 1) citizens see value in staying up to date, and; 2) citizens regularly keep themselves up to date by actively, openly and critically engaging with new ideas, developments and claims to truth. As a result, it is hoped citizens become increasingly knowledgeable, better able to make good decisions, and better positioned to support new progressive norms and beliefs. Yet despite these potential benefits, a substantive proportion of the population do not value staying up to date, nor attempt to do so. Methods: With this research project we seek to identify whether the theoretical lens of anomie can account for why ‘ideas refusers’ do not engage with ideas, as well as provide clues as to how they might be encouraged to do so. To explore the possible impacts of anomie on ideas-engagement we conducted four online focus groups, interviewing a purposive sample of ten individuals who previously indicated they were ideas refusers. Results: Our findings identify eleven themes which seemingly account for why ideas refusers do not currently engage with ideas. Of these, ten are related to anomie, including themes which encapsulate feelings of frustration, anxiety, confusion and powerlessness regarding the complexities of modern society. Conclusions: We also identify three areas of future focus that might help the ongoing development of the ideas-informed society. These are: 1) the more positive and relevant reporting of ideas; 2) supporting ‘healthy’ face-to-face engagement with ideas; and 3) supporting effective ideas engagement through social media.

Safe, secure and stable housing is central to social, emotional and economic well-being for individuals and families. This is recognised by the United Nations as a fundamental human right, yet when it comes to Indigenous housing individuals disproportionately experience unsafe, unstable and substandard housing. The absence of housing security is therefore a significant contributor to the intergenerational poverty experienced by some Indigenous individuals and families. The long-standing nature of this issue makes it appear intractable and systemic, however, there is increasing evidence that this is not the case, and that governments, working in partnership with Indigenous organisations and communities, can begin to change these dynamics. This brief is based on an extensive review of the multidisciplinary evidence base, including literature and policy analysis as well as empirical investigation. Sources include research articles, official reports and statistics and scholarly debates, as well as media commentary and debate. These, along with original data sources, are analysed to identify the key policy learnings for a framework for culturally appropriate and sustainable Indigenous housing.

Background: The ongoing coronavirus disease 2019 (COVID-19) pandemic has caused tremendous socio-economic problems. All societies worldwide were faced with an emergency situation, and many were puzzled by the implementation of various countermeasures to overcome this situation. Such events call for active engagement and support from the private sector. Noting the expected social role of the private sector, this study builds on stakeholder theory and investigates the corporate social responsibility (CSR) activities of Korean global firms facing the difficulties of this situation. Methods: This study collected and analyzed news reports about the CSR activities of three representative Korean global firms (Samsung Electronics, LG Electronics, and Hyundai Motors). News reports posted from January 2019 and after January 2020, when the COVID-19 outbreak occurred in Korea, were collected. From the reports, the main keywords illustrating their CSR activities were extracted, and the frequency of each company was analyzed. Results: Findings showed that their CSR activities during the COVID-19 pandemic were conducted in a prompt and systemic way. They maintained focus on their main CSR activities, which were closely aligned with their business and CSR visions; simultaneously, they rapidly identified the areas needing support from their daily business activities and responded to them immediately and discretionary. This highlights their genuine motives in their CSR activities and good citizenship, as well as their significant role as rescuers during countrywide disasters. Conclusions: Supporting stakeholder theory, this study shows the broadly defined CSR activities of Korean global firms focusing on their target stakeholders. The agile and systemic approach to the companies' CSR activities can benefit both society and businesses, contributing to creating social values and sustained co-prosperity with society. Furthermore, this study suggests that a close collaborative relationship with the government can produce a synergistic effect on community building recovering from a nationwide disaster.

Background: The ongoing coronavirus disease 2019 (COVID-19) pandemic has caused tremendous socio-economic problems. All societies worldwide were faced with an emergency situation, and many were puzzled by the implementation of various countermeasures to overcome this situation. Such events call for active engagement and support from the private sector. Noting the expected social role of the private sector, this study builds on stakeholder theory and investigates the corporate social responsibility (CSR) activities of Korean global firms facing the difficulties of this situation. Methods: This study collected and analyzed news reports about the CSR activities of three representative Korean global firms (Samsung Electronics, LG Electronics, and Hyundai Motors). News reports posted from January 2019 and after January 2020, when the COVID-19 outbreak occurred in Korea, were collected. From the reports, the main keywords illustrating their CSR activities were extracted, and the frequency of each company was analyzed. Results: Findings showed that their CSR activities during the COVID-19 pandemic were conducted in a prompt and systemic way. They maintained focus on their main CSR activities, which were closely aligned with their business and CSR visions; simultaneously, they rapidly identified the areas needing support from their daily business activities and responded to them immediately and discretionary. This highlights their genuine motives in their CSR activities and good citizenship, as well as their significant role as rescuers during countrywide disasters. Conclusions: Supporting stakeholder theory, this study shows the broadly defined CSR activities of Korean global firms focusing on their target stakeholders. The agile and systemic approach to the companies’ CSR activities can benefit both society and businesses, contributing to creating social values and sustained co-prosperity with society. Furthermore, this study suggests that a close collaborative relationship with the government can produce a synergistic effect on community building recovering from a nationwide disaster.

Background: The annual average daily traffic (AADT) data from road segments are critical for roadway projects, especially with the decision-making processes about operations, travel demand, safety-performance evaluation, and maintenance. Regular updates help to determine traffic patterns for decision-making. Unfortunately, the luxury of having permanent recorders on all road segments, especially low-volume roads, is virtually impossible. Consequently, insufficient AADT information is acquired for planning and new developments. A growing number of statistical, mathematical, and machine-learning algorithms have helped estimate AADT data values accurately, to some extent, at both sampled and unsampled locations on low-volume roadways. In some cases, roads with no representative AADT data are resolved with information from roadways with similar traffic patterns. Methods: This study adopted an integrative approach with a combined systematic literature review (SLR) and meta-analysis (MA) to identify and to evaluate the performance, the sources of error, and possible advantages and disadvantages of the techniques utilized most for estimating AADT data. As a result, an SLR of various peer-reviewed articles and reports was completed to answer four research questions. Results: The study showed that the most frequent techniques utilized to estimate AADT data on low-volume roadways were regression, artificial neural-network techniques, travel-demand models, the traditional factor approach, and spatial interpolation techniques. These AADT data-estimating methods’ performance was subjected to meta-analysis. Three studies were completed: R squared, root means square error, and mean absolute percentage error. The meta-analysis results indicated a mixed summary effect: 1. all studies were equal; 2. all studies were not comparable. However, the integrated qualitative and quantitative approach indicated that spatial-interpolation (Kriging) methods outperformed the others. Conclusions: Spatial-interpolation methods may be selected over others to generate accurate AADT data by practitioners at all levels for decision making. Besides, the resulting cross-validation statistics give statistics like the other methods' performance measures.

Background: The annual average daily traffic (AADT) data from road segments are critical for roadway projects, especially with the decision-making processes about operations, travel demand, safety-performance evaluation, and maintenance. Regular updates help to determine traffic patterns for decision-making. Unfortunately, the luxury of having permanent recorders on all road segments, especially low-volume roads, is virtually impossible. Consequently, insufficient AADT information is acquired for planning and new developments. A growing number of statistical, mathematical, and machine-learning algorithms have helped estimate AADT data values accurately, to some extent, at both sampled and unsampled locations on low-volume roadways. In some cases, roads with no representative AADT data are resolved with information from roadways with similar traffic patterns. Methods: This study adopted an integrative approach with a combined systematic literature review (SLR) and meta-analysis (MA) to identify and to evaluate the performance, the sources of error, and possible advantages and disadvantages of the techniques utilized most for estimating AADT data. As a result, an SLR of various peer-reviewed articles and reports was completed to answer four research questions. Results: The study showed that the most frequent techniques utilized to estimate AADT data on low-volume roadways were regression, artificial neural-network techniques, travel-demand models, the traditional factor approach, and spatial interpolation techniques. These AADT data-estimating methods' performance was subjected to meta-analysis. Three studies were completed: R squared, root means square error, and mean absolute percentage error. The meta-analysis results indicated a mixed summary effect: 1. all studies were equal; 2. all studies were not comparable. However, the integrated qualitative and quantitative approach indicated that spatial-interpolation (Kriging) methods outperformed the others. Conclusions: Spatial-interpolation methods may be selected over others to generate accurate AADT data by practitioners at all levels for decision making. Besides, the resulting cross-validation statistics give statistics like the other methods' performance measures.

Establishing integrated reporting and thinking within mainstream business practice as the norm in the public and private sectors is fundamental. Corporate governance assessment in the APRM Country Review Reports is not done in a way to enable more decision-useful reporting. This policy brief urges APRM's consultants to adopt a particular approach to frame corporate governance assessment. By adopting an inductive qualitative approach, retrieving academic articles and institutions' reports from the literature, this study develops a novel framework to ensure more reliability, completeness, consistency and comparability in the Country Review reporting. It is contended that such reporting can assist the APRM Country Review Missions in corporate governance assessment.

Purpose: The purpose of this paper is to identify the factors involved in the success of a ‘first-time first-line Manager’ (FTFLM), and establish a model for the success of a FTFLM using these identified factors. Methods: Empirical factors influencing the success of a first-line manager were gathered through the literature review and an experience survey of managers. Based on these factors, a questionnaire for primary research was developed and used for the survey. An exploratory factor analysis of the collected data yielded a nine-factor model which was validated using confirmatory factor analysis. Findings: A major portion (74%) of the FTFLM’s success factors are under the direct control of the FTFLM. The remaining portion (26%) are influenced by the organization’s procedures and policies for grooming the FTFLM and the attitude and behaviour of management towards the FTFLM.