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This paper aims to give an oversight of what is being done by researchers in GIS and remote sensing (field) to explore minerals. The main objective of this review is to explore how GIS and remote sensing have been beneficial in identifying mineral deposits for easier and cost-effective mining.

The approach of this research used Web of Science to generate a database of published articles on the application of GIS and remote sensing techniques for mineral exploration. The literature was further digested, noting the main findings, adopted method, illustration and research scales.

When applied alone, each technique seems effective, but it is important to know that combining different methods is more effective in identifying ore deposits.

This paper also examined and provided possible solutions to both current and future perspective issues relating to the application of GIS and remote sensing to mineral exploration. The authors believe that the conclusions and recommendations drawn from case studies and literature review will be of great importance to geoscientists and policymakers.

In the following theoretical article, the author generates a theory of Leadership Pedagogy and its connection to Creative Arts Education.

The article analyzes Leadership Theory across three pillars: Socio-relational, Cognitive and Creative, and how these areas underscore thoughtful and caring pedagogy and inclusive teaching in undergraduate education.

Drawing on the Scholarship of Teaching and Learning (SoTL), the article advocates for a flexible, multifaceted approach to curricular design rooted in theoretical pluralism, prioritizing interdisciplinary methods to bridge theory and practice in Creative Arts Education.

The article concludes with implications for future research and collaboration connecting Leadership Studies and the Arts.

This article explores the value creation process from player sales in football to understand if the related capital gains correspond to significant increases in the stock value of selling companies. In addition, it aims to detect any potential drivers for higher (or slower) abnormal stock returns.

The authors analyze all the capital gains of the Italian and Portuguese listed football companies (the only ones for which, based on their annual reports, it was possible to trace the net book value for each player sold and, consequently, if any, the related capital gain) from 2012 to 2020 and use event study analysis to calculate the abnormal returns of the football companies' stocks. Moreover, the authors use a multiple linear regression model to identify the factors affecting investors' reactions and value creation process intensity.

The results show that, on average, the capital gains from player transfers in football are positive income components and produce statistically significant higher abnormal returns. In addition, the authors identified some relevant drivers related to their intensity which could guide the choices of corporate executives regarding future disposals of the multi-year performance rights of players in the roster.

This study considers only Italian and Portuguese football listed companies. It would be helpful to consider some of the companies from other countries which are also outstanding from the sports perspective, but, in practice, it was not possible due to the impossibility to trace the net book value of the single footballers sold in those clubs' public financial disclosure.

The value relevance of the capital gains from player trading activities should increase their importance, creating cascade effects on several activities generating value for football clubs (youth sector management, player scouting, technical improvement of the players). In addition, financial data show that the capital gains from player transfers are a basic income of European football clubs nowadays. Their executives consider these operations recurrent and continually search for more valuable transfers. Hence, it is reasonable to think that they (will) choose the players to sell considering both sports and financial aspects.

To the best of the authors' knowledge, this is the first study exploring the effects of capital gains from player trading activities on professional football clubs' stock value. The results obtained are even more relevant if one considers the importance these income components have in the profit formula of professional football clubs nowadays, also because of the negative repercussions caused by the recent COVID-19 pandemic.

This paper aims to investigate the impact of board characteristics on CEO turnover performance relationship (TPR) in Indian listed firms.

A subset of the Standard and Poor’s Bombay Stock Exchange 500 (S&P BSE 500) Index companies was analyzed over the period 2015–2019 using the logistic (fixed-effects) regression model.

It was found that a weak relationship exists between CEO turnover and firm performance. With respect to board characteristics, board size was found to have a significant role in strengthening the TPR. However, other characteristics, such as board independence, multiple directors, board meetings and board gender diversity, played no role in influencing the TPR.

First, the study period is limited to five years, during which several sample firms did not face any CEO turnover event leading to small sample size. Second, this study considers only the board’s gender diversity, whereas other types of diversity are omitted. Third, this study does not differentiate between insider and professional CEOs.

The findings suggest that regulators should focus on the effective enforcement of laws to strengthen the TPR and improve the monitoring role of boards, particularly in emerging economies like India, which face type II agency problems in addition to traditional principal–agent conflict. The results also offer implications for corporations, investors and academic researchers, highlighting areas that need considerable attention pertaining to corporate governance.

This study discerns the impact of several board-related characteristics on the TPR, particularly after the introduction of the new Companies Act 2013 in the emerging economy of India, where it has not been explored extensively.

Environmental, social and governance (ESG) issues have become the cornerstone of investment decisions in firms today. With that, publicly traded ESG indices (like the BSE ESG 100 index in India) have come into existence. The existing literature signifies that ESG generates financial implications and induces stability. The current study aims to test whether the firms listed on the ESG index (ESG-sensitive firms) face less financial distress than those not listed on such an index.

The study applies panel data difference-in-differences (DID) regression by considering ESG as an unstaggered treatment to 74 non-financial firms listed on India's Bombay Stock Exchanges (BSE) 100 index. In total, 42 firms are ESG treated as they got listed on the BSE ESG 100 index, formed in 2017. The remaining 32 firms form the control group. The confidence intervals and standard errors are estimated using clustered robust errors and the Donald and Lang method.

Listing on the ESG index matters for financial stability; differences in financial distress are significant on financial distress. ESG-sensitive firms face less financial distress than non-ESG firms (or firms not perceived as ESG-sensitive). The results are consistent across two financial distress measures, Altman z-scores for emerged and emerging markets. Thus, the DID in distress status between ESG-sensitive and non-ESG firms matter.

The study creates vibrant implications for practitioners using ESG to reduce financial distress.

The study is one of its kind to test the treatment effects of ESG on firm value and quantify treatment effects on financial distress.

The purpose of this study is to analyze the corporate social responsibility (CSR) communication of the Fortune top-100 companies during the coronavirus disease 2019 (COVID-19) pandemic. Specifically, the authors examine the messages of international companies' CSR communication to customers during the pandemic, focusing particularly on the companies' posts on Twitter. In addition to identifying what international companies communicate, the authors determine the motives of companies' COVID-19-related CSR communication as well as how companies strategically approach CSR communication.

Using Nvivo, the authors carried out content analysis of the COVID-19-related tweets of the Fortune top-100 companies using Twitter's ‘advanced search’ tool. The analysis included tweets posted between 1 February 2020 and September 2021, a period that represents the peak of the pandemic.

Study findings indicate that COVID-19-related CSR responses of international companies are driven by commitment to organizational values, attainment of recognition for timely response to COVID-19, altruistic motives to combat COVID-19 and congruence with social movements that create expectations from customers to respond to the COVID-19 pandemic. Most companies adopt a response strategy to CSR communication, by informing customers of their COVID-19 responses in relation to several issues such as alterations in companies' processes and the impacts of the pandemic on health.

The study suggests that the CSR practices of companies should be strategically embedded in organizations' international marketing plans and not remain just on-off responses to crises should marketing-related benefits be obtained. Several recommendations are made to strengthen companies' adoption of a proactive, engagement-oriented approach to CSR communication.

The CSR communication of international companies during external crises has not been sufficiently studied in relation to international marketing, as most studies considered internal corporate crises. Focusing on an external crisis (COVID-19 pandemic) with global impacts, this study advances existing knowledge on international companies' CSR communication to their customers. Additionally, this study offers new insights on the role of integrated, coordinated and consistent CSR messages and strategies, which are targeted to the needs and expectations of domestic and international customers in response to COVID-19 pandemic.

This conceptual paper presents a proposal for improving a performance measurement (PM) system implementation process based on enterprise engineering (EE) guidelines, which gives the process a sense of completeness.

This paper analyzes a well-known process for PM systems implementation organized in two phases: identifying, designing and implementing the top-level performance measures; and cascading the top-level measures and identify appropriate lower-level performance measures. The proposed improvements to the studied process derive from the EE guidelines, which establish a basis for the structure of an organizational management system, the formalization and synchronization of processes, performance expectations, exception handling and change management.

The study reveals that not all EE guidelines are covered by the analyzed process, with four of them having no evidence of being adopted: involvement of people in process design and implementation; ensuring interoperability between different systems in the information structure; addressing of all possible exceptions; coherence and consistency of semantics across all processes.

By the lens of EE guidelines, this paper advances a how-to-guide. This paper can support managers and researchers on PM system design and implementation, given the importance and relevance of EE recommendations having a consistent and well-structured procedure.

This study aims to contribute by showing that although artificial intelligence (AI) practitioners have been faster to adapt, redefine and improve their remote working performance for routine tasks, they have instead decreased their tacit knowledge sharing and ability to perform extra tasks and manage the diverse time allocation.

Based on a grounded theory study of 57 in-depth interviews, conducted before the outbreak of the pandemic and after, this study investigates how remote work as a pandemic response measure affected AI practitioners.

Although remote working was a reality for AI practitioners before the COVID-19 pandemic, the overall remote working restrictions appear to have affected tacit knowledge sharing between AI practitioners, with a consequent negative impact on AI project output diversity.

The interactions of AI practitioners are partly embedded in AI tools and partly in human exchange. During the COVID-19 pandemic, these interactions appear to have become more obvious, even if the consequences have been unforeseen.