The Moderating Role of Good Corporate Governance: The Influence of Capital Structure, Profitability, Dividend Payment and Inflation on The Value of Mining Companies in Indonesia: Acces la Success

The objectives of this research include: (1) examining and analyzing the effect of capital structure, profitability, dividend payments and inflation on the value of mining companies;(2) examining and analyzing the moderating role of Good Corporate Governance (GCG) on the effect of capital structure, profitability, dividend payment and inflation on the value of mining companies listed on the IDX. The population of this study is all mining sector companies listed on the IDX for the period 2014-2020. The purposive sampling method is used as the sampling technique. The total population is 49 companies and the number of samples that meet the criteria are 44 companies. The research period is 7 years, so the total number of observations is 308 data (pooled data). The Moderated Regression Analysis (MRA) is used as the analysis method. The result is as follow: (1) capital structure has a negative significant effect on firm value;(2) profitability has a positive significant effect on firm value;(3) dividend payment has no significant effect on firm value;(4) inflation has a negative significant effect on firm value;(5) GCG has a moderating effect on the influence of capital structure, profitability and inflation on firm value, with the type of Quasi Moderating, whereas on the influence of dividend payments on firm value, it was the type of Pure Moderating.

A Review of Competitive Balance in European Football Leagues before and after Financial Fair Play Regulations

This paper analyses competitive balance in 24 top-division domestic football leagues in Europe before and after the implementation of UEFA's Financial Fair Play (FFP) regulations. Our analysis covers 22 seasons between 2000/01 and 2021/22 and utilises indicators of overall league concentration and dominance. Seven of the 24 leagues examined have seen a statistically significant worsening of league concentration post-FFP, fourteen leagues experienced a decline in the number of top-four finishers and thirteen saw a reduction in the number of unique title winners. The weight of evidence indicates that FFP has adversely affected competitive balance in several European football leagues.

Building resilience during the Covid-19 pandemic: the journey of a small entrepreneurial family firm in Brazil

PurposeThe present study used a process approach to examine how a small entrepreneurial family business in the tourism industry evolved during different stages of the Covid-19 pandemic and across different dimensions of resilience.Design/methodology/approachThe research strategy consisted of a real-time longitudinal case study during the Covid-19 pandemic in Brazil, based on interviews conducted with the founders of the business.FindingsThe results show how the firm responded to the pandemic and moved through different stages – interruption, loss, resumption, and recovery – as the crisis evolved. During each stage, there were manifestations of different dimensions of organizational resilience: anticipation/awareness, coping and adaptation. The entrepreneurs mobilized several capabilities – emotional, cognitive, behavioral, and relational – during the different stages and across different dimensions to face and respond to the pandemic.Originality/valueThe contributions of the study stem from the lack of research on how small entrepreneurial family businesses in the tourism industry are impacted by disruptive events of long duration and multiple cycles. Specifically, the study contributes to the understanding of how this type of firm responds to these crises, mobilizing different capabilities at different stages and across different dimensions of organizational resilience.

METHODS FOR FORECASTING DEMAND IN REPAIRING AN AIRLINE'S REPAIRABLE LINE REPLACEABLE UNIT PARTS

Verspreide mislukkingsfrekwensie, veranderlike en komplekse bei'nvloedende faktore, en 'n lae akkuraatheid in die voorspelling van voorraadaanvraag is kenmerke van lynvervangbare eenheid (LRU) onderdele. Sommige duur herstelbare LRU (HR-LRU) onderdele het 'n aansienlike impak op die koste van vliegtuigonderdele. Baie lugrederye stel baie belang om die vraag na HR-LRU-onderdele te voorspel. Hierdie studie bied prosedures aan om die optimale model vir die voorspelling van die vraag na HR-LRU-onderdele te identifiseer. Eerstens is 'n tradisionele voorspellingsmodel, sewe enkelmetingsmodelle en vier gekombineerde modelle gekies en gebruik om mislukkingsdata te voorspel. Vervolgens is evalueringsindekse vir assessering gekies om die optimale model te verkry. Laastens het ons die werklike en voorspelde waardes vergelyk om die gevolgtrekkings wat tydens die vorige evalueringstap gemaak is, te verifieer. Die resultate het aangedui dat, onder die enkelmodelle, die negatiewe binomiale regressiemodel en die Holt-Winters model die mees geskikte was vir HR-LRU dele. Die SSE en MAE van die negatiewe binomiale regressie was die laagste op 118.4114 en 1.97352 onderskeidelik, en die Holt-Winters model se MAE was die laagste op 1. 13270. Die IOWA operateur voorspellingsmodel en die fout wederkerige veranderlike gewig kombinasie metode het voorspellings opgelewer wat die naaste aan die werklike waardes was onder die gekombineerde modelle. Die voorspellingsfoute van die negatiewe binomiale regressiemodel en die IOWA-operateurmodel was slegs 0,169 3 en 1,411 3 in 2018. Benewens die samestelling van 'n stel prosesse om die vraag na HR-LRU-onderdele te voorspel, bespreek ons ook die graad van passing van verskillende metodes, die redes vir die verandering in die gewaarborgde koers van HR-LRU-onderdele, en die redes vir die voorkoms van spesiale jare. Ons vergelyk ook die ooreenkomste en verskille tussen hierdie artikel en ander navorsingsartikels.Alternate :Scattered failure frequency, variable and complex influencing factors, and a low accuracy in predicting inventory demand are characteristics of line replaceable unit (LRU) parts. Some high-priced repairable LRU (HR-LRU) parts have a considerable impact on the cost of aircraft spare parts.This study presents procedures to identify the optimal model for forecasting the demand for HR-LRU parts. First, a traditional prediction model, seven single measurement models, and four combined models were selected and used to predict failure data. Subsequently, evaluating indexes were selected for assessment to obtain the optimal model. Finally, we compared the actual and predicted values to verify the conclusions drawn during the previous evaluation step. The results indicated that, among the single models, the negative binomial regression model and the Holt-Winters model were most suitable for HRLRU parts. The SSE (sum of squares error) and MAE (mean absolute error) of the negative binomial regression were the lowest at 118.4114 and 1.97352 respectively, and the Holt-Winters model's MAE was the lowest at 1. 13270. The IOWA operator prediction model and the error reciprocal variable weight combination method produced predictions closest to the actual values among the combined models. In addition to constructing a set of processes to prediction, we also discuss the fit of different methods, the reasons for the change in the guaranteed rate, and the reasons for the occurrence of special years. We also compare the similarities and differences between this article and other papers.

Strategic Analysis of Financial and Operational Data During a Global Economic Crisis: Lessons from the COVID-19 Pandemic

Assessing the operational efficiency and financial health of a company, from a Strategic Management perspective, is a major challenge even during normal times. The economic crisis and its associated uncertainties, caused by the Covid-19 pandemic, have made these challenges even more daunting for business students, faculty, and professional analysts alike. In this paper, we first review the broad impact that the pandemic has inflicted on the industrial and economic climate globally. We then take an in-depth look at two representative industries and analyze how they have been impacted by the crisis. Specifically, we look at the airlines industry and the restaurants and food delivery industry, by reviewing and interpreting a select set of financial and operational metrics pre-crisis, during a crisis, and the post / recovery stages of a crisis. We look at performance indicators in these two industries and identify which metrics might provide us with the sharpest insights on the future performance of companies in these industries. We also provide more general guidelines for analysis of companies across other industries, their inter-connectedness, and the ecosystems that they operate in.

The effectiveness of UEFA Financial Fair Play: evidence from England and France, 2008–2018

Purpose>This paper analyses the effectiveness of UEFA's Financial Fair Play (FFP) under the break-even requirement.Design/methodology/approach>Data was collected from English and French football clubs competing in the English Premier League (EPL) and in Ligue 1 (L1) for the financial years 2008–2018. Our sample includes 395 club-year observations. Relevant statistical tests have been conducted with the aim of analysing the effects of pre (2008–2012) and post (2012–2018) FFP enforcement under both profitability and cost-efficiency assumptions.Findings>In the EPL, an increase is observed in clubs' profitability through both operating and break-even results. In L1, this improvement is only significant for break-even results of clubs not participating regularly in European competitions (non Euro-oriented clubs). Player expenditures, measured through two wage-to-revenue ratios excluding trading activity for one and including it for the other, have significantly decreased in the EPL except for the Euro-oriented clubs for this latter. Conversely, in L1, this decrease is only significant in both wage-to-revenue ratios for non Euro-oriented clubs and for the whole sample when trading is included.Practical implications>In addition to evidencing contrasting results in FFP effectiveness across countries, our results suggest it is not the sole cause of such an improvement in clubs' finances. We suggest that UEFA should pursue its efforts to scrutinise the level of clubs' player expenditures and that there is a need for a wider look at the FFP regulations.Originality/value>This article provides further contribution to empirical studies on FFP effectiveness that have often been focused on a single country.

A Naive and Semantic Approach for Detecting Face Mask Region Based Convolutional Neural Networks (R-CNN)

Due to Covid-19, most of the health care organizations and governments has ordered their citizens to wear face mask to protect themself. This novel research presents a tactical methodology for rapid detection whether a person is wearing a face mask or not. It is entirely different from the existing system;the singular aim of the proposed system is to train the deep learning model with a minimum number of image samples and to operate face mask instance segmentation and along with object box detection. In this work, we proposed a novel and semantic pixel-to-pixel region based deep network which can detect no of face mask instances in different categories pixel wise to organize the segment bounding box and the confidence of the various categories for each pixel. This system experimental output demonstrate that this approach can effectively and precisely detect the face mask with multi-feature combination. It is also reported that our application performance outperforms the existing system.

Banking Risks and Lending to Tourism and Hotel Businesses amid the COVID-19 Pandemic

The purpose of this paper is to explore the risks associated with lending to tourism and hospitality businesses in the context of COVID-19 restrictions. The author proposes a scoring methodology to assess the quantitative and qualitative factors of borrowers' credit standing based on industry-related risks and the quantification of potential loss given default. The analysis of credit standing draws on actual figures from financial statements of the ten biggest tour operators present in the Russian and Kazakh tourism markets, as well as a survey of experts specialising in bank lending. The findings confirm the proposed hypothesis of a negative impact of the pandemic on the financial condition and credit standing of tourism and hospitality businesses and an increase of banks' credit risks. The trends of lending to tourism and hotel businesses have indicated a contraction of credit supply as a result of the low credit standing of borrowers. An industry analysis shows that losses from the materialisation of credit risks in the group of tourism businesses could be significant for banks. The author concludes that to maintain financial stability and the level of credit in the industry, the state should continue to support the sector, including the provision of soft loans to help finance some items of expenses.