Business Continuity During Adversity and Strategies to Revive Certain Sectors

The study investigates the factors influencing business continuity during adversities like COVID-19. It further sheds light on priorities for preparedness measures that need to be taken to ensure continuity during these adversities. Exploratory research was conducted in the form of focussed interviews with 20 senior management industry professionals, and these were analyzed using N-Vivo, and four important determinants of business continuity were identified based on which a research model was conceptualized using business continuity as dependent variable and others as independent variables. The model was further tested using quantitative research. For this purpose, a questionnaire was prepared, and a total of 200 responses were collected representing 26 sectors. These responses were analyzed using factor and variance analysis, and a multiple regression analysis was performed to test the role of these variables on business continuity. It was further concluded that the factors that ensure business continuity differ according to the industry in which the business is operating.

Determinants of credit risk at Vietnam bank for agriculture and rural developments in Can Tho City

The aim of this study is to investigate factors affecting credit risks of the borrowers (both corporate and individual customers) of Vietnam bank for agriculture and rural development's branch at Can Tho city (lender), thereby proposing several solutions to improve the bank’s operational efficiency in the upcoming years. Simultaneous qualitative and quantitative research methods are applied and secondary data from 102 corporate customers and 2100 individual clients are collected directly from the financial report of the Can Tho branch of Vietnam bank for agriculture and rural development (Agribank) until the end of 2018. A binary logistics model is employed to identify the determinant factors of the credit risk of bank customers. Estimation results reveal that the credit risk of corporate customers is affected by the factors of sales growth, return on sales ratio, Debt to equity ratio, collateral-to-outstanding loan balance ratio, and customer's loan history which are consistent with those of previous studies, whereas the credit risk of individual customers is influenced by the factors of age, educational level, loan purpose, loan maturity, type of collateral, customer income, and customer loan history, which are confirmed by previous studies. The empirical findings of the article imply that the Can Tho branch of Agribank should take precautions in order to limit the credit risk of bank customers. In addition, several governance recommendations are given for bank’s manager to improve the operational efficiency of bank.

Rural Tourism and Inclusive Development in Port St. Johns - South Africa

The purpose of this study was to explore ways of achieving an inclusive approach to tourism development in rural communities. Although tourism has generally been recommended as a means of orchestrating development in rural communities, achieving this laudable goal has often been illusive due to the fragmented approach adopted by tourism stakeholders. An exploratory quantitative research approach was adopted by using a structured survey instrument to generate 307 valid responses from community members in Port St. John in the Eastern Cape Province (ECP) of South Africa. Results obtained reveal similarities and some differences based on demographic characteristics with regards to the benefits of rural tourism to the community. Importantly, the study illuminates the fragmented way in which residents perceive tourism benefits, both from a gender perspective and personal benefit versus community dichotomy. The paper discusses policy as well as practical local economic development implications.

Fake News Classification: A Quantitative Research Description

Social media can render content circulating to reach millions with a knack to influence people, despite the questionable authencity of the facts. Internet sources are the most convenient and easy approach to obtain any information these days. Fake news has become the topic of interest for academicians and the rest of society. This kind of propaganda has the power to influence the general perception, offering political groups the ability to control the results of democratic affairs such as elections. Automatic identification of fake news has emerged as one of the significant problems due to the high risks involved. It is challenging in a way because of the complexity levels of accurately interpreting the data. An extensive search has already been performed on English language news data. Our work presents a comparative analysis of fake news classifiers on the low resource Bengali language ‘ban fake news’ dataset from Kaggle. The analysis presented compares deep learning techniques such as LSTM (Long short-term Memory) and BiLSTM (Bi-directional Long short-term Memory) and machine learning methods like Naive Bayes, Passive Aggressive Classifier (PAC), and Random Forest. The comparison has been drawn based on classification metrics such as accuracy, precision, recall, and F1 score. The deep learning method BiLSTM shows 55.92% accuracy while Random Forest, in contrast, has outperformed all the other methods with an accuracy of 62.37%. The work presented in this paper sets a basis for researchers to select the optimum classifiers for their approach towards fake news detection.

Pengaruh Struktur Modal, Likuiditas, Profitabilitas dan Umur Perusahaan terhadap Kualitas Laba:

This study aims to prove the effect of capital structure, liquidity, profitability and firm age on earnings quality. The type of research used is quantitative research and secondary data. The sample of this research is mining companies listed on the Indonesia Stock Exchange (IDX) in 2017-2020 using purposive sampling. This study shows that capital structure has no significant effect on earnings quality, liquidity has no significant effect on earnings quality, profitability has no significant effect on earnings quality and firm age has no significant effect on earnings quality. The implications of this research are related to earnings quality. Investors and other users of financial statement information, need to consider the liquidity factor because this factor has a significant impact on the quality of earnings in the company. This shows that users of financial statements, especially investors, need to consider the liquidity factor when making investment decisions in affiliated companies. Keywords: Capital Structure, Liquidity, Profitability, Company Age, Earnings Quality

Understanding crisis resilience in manufacturing firms in the DACH region during the COVID-19 pandemic

PurposeThis paper describes the impact of COVID-19 on manufacturing firms in the DACH region of Europe (DACH is an acronym used to describe Germany, Austria and Switzerland). The purpose of the study was threefold: first to describe crisis resilience empirically through the actions taken by the firms using the elements of resilience; the paper then goes on to compare the DACH region with Northern Italy; finally, based on the findings, an existing crisis management model is expanded.Design/methodology/approachA mixed method of quantitative research based on survey data and qualitative interviews was applied for data collection. The findings are based on 57 survey results and 13 interviews from December 2020 to March 2021. The findings are presented based on the resilience elements and are discussed based on processes, technologies and people. The findings are compared with those from an Italian study made 6–9 months before this study. The comparison provides the basis for the adaptations to the crisis management model.FindingsThe findings describe the actions taken by firms in the DACH region to overcome the challenges posed by COVID-19. The findings were, in most cases, very similar to those from the Italian study. The most resilient firms had well-defined processes in place, adaptable employees who were well-led, and had (digital) technologies that could be quickly implemented.Originality/valueThe timing for the crisis was later in the DACH region and firms were able to learn from Italy. The crisis management model based on the Italian study was refined; the resulting model will support managers to face future crises. This model needs testing and extending to link to past and future events.

A Corpus-Based Study on China English in the English Translation of Tao Te Ching

This study aims to examine the features of China English in the translation of Chinese classics by comparing two versions of Tao Te Ching based on corpus data. Of the two English versions, one was translated by a well-known Chinese translator—Xu Yuanchong, and the other was translated by an American sinologist—Arthur Waley. This study found that Xu’s translation indicates more features of China English compared with Waley’s translation according to three major aspects. First, Xu’s translation is more concise, employing fewer words to translate Tao Te Ching. Second, Xu’s version features fewer clauses and more clear sentences. Third, the paratactic nature of China English is reflected in Xu’s translation, which has more content words and less cohesiveness. This study reveals the characteristics of China English in translation texts and partly fills the research gaps regarding the quantitative research in this field.

Pengaruh Pendapatan Asli Daerah, Dana Alokasi Umum, dan Dana Alokasi Khusus terhadap Belanja Modal pada Kabupaten dan Kota di Provinsi Daerah Istimewa Yogyakarta (DIY) Tahun 2016–2020

This study aims to determine the effect of Regional Original Income, General Allocation Funds, Special Allocation Funds, partially and simultaneously effecting Capital Expenditures in Regencies/Cities in the Province of the Special Region of Yogyakarta (DIY) in 2016-2020. The type of research used is the type of quantitative research. Secondary data obtained from the website (http://www.djpk.kemenkeu.go.id). In this study, it was analyzed using descriptive analysis and multiple linear regression analysis and processed with SPSS version 25. The results of this study indicate that partially: the Regional Original Income (PAD) variable has a partial effect on Capital Expenditures in 4 regencies and 1 city in the Special Region of Yogyakarta (DIY), the General Allocation Fund (DAU) does not partially affect Capital Expenditures. , the Special Allocation Fund (DAK) has an effect on Capital Expenditures in 4 districts and 1 city in the Province of the Special Region of Yogyakarta (DIY). Meanwhile, simultaneously: Variables of Local Revenue (PAD), General Allocation Fund (DAU), Special Allocation Fund (DAK) simultaneously have a significant effect on Capital Expenditures in 4 districts and 1 city in the Special Region of Yogyakarta (DIY). ) with the period 2016-2020. Keywords: Regional Original Revenue, General Allocation Fund, Special Allocation Fund, Capital Expenditure.

Analisis CAR, NPL, BOPO dan LDR terhadap Profitabilitas

This research aimed to examine the effect of Capital Adequacy Ratio (CAR), Non Performing Loan (NPL),Operating Expenses Operating Income (BOPO) and Loan to Deposite Ratio (LDR) ratios on profitability (ROA). This type of research is quantitative research. The sample selection method in this research used purposive sampling method. The sample used was 20 of 45 banking companies listed on the Indonesia Stock Exchange with the periode 2016-2020. The analytical method used was multiple linear regression analysis using the SPSS version 22 program. The result showed that the Capital Adequacy Ratio (CAR) t test had a significant effect on profitability (ROA) partially, Operating Expenses Operating Income (BOPO) has a negative effect on profitability(ROA) partially, then Non Performing Loan (NPL) and Loan to Deposite Ratio (LDR) have a positive and not significant effect on profitability (ROA). And from the result of the f test, the Capital Adequacy Ratio (CAR), Non Performing Loan (NPL), Operating Expenses Operating Income (BOPO) and Loan to Deposite Ratio (LDR) variables have a simultaneous effect on profitability (ROA). Keywords: CAR, NPL, BOPO, LDR, ROA