The phenomenon of the bullwhip effect (BWE) has become a pressing concern in contemporary supply chain management. Every echelon of the supply chain faces the negative consequences of BWE somehow. So, it is crucial to determine the reasons responsible for the BWE to mitigate the consequences. The boutique industry in Bangladesh is a rapidly growing industrial sector. In this study, we focused on finding the reasons and consequences of the bullwhip effect on the boutique industry in Dhaka city. The main targets of this study are to examine the underlying reasons for the BWE, identify the most significant causes from the perspective of Dhaka city, and determine the major consequences of the bullwhip effect. Studies of previous literature and consultation with experts have identified sixteen common causes behind the bullwhip effect. This study uses a survey-based method; respondents are chosen through clustered sampling. Necessary data have been collected with a semi-organized inquiry form. Among all the 16 causes, six causes are found to be the most significant causes from the perspective of retailers and wholesalers. SPSS Version 26 has been used for statistical analysis to make the final decision. We also found ten consequences commonly faced by these two echelons of the boutiques' supply chain because of the bullwhip effect. These are high inventory costs, workforce wastages and higher labor costs, higher replenishment lead-time, higher transportation costs, tension in the buyer-supplier relationship, product unavailability, loss of profit, poor customer service, etc.

In very small organizations, the role of the manager in the choice and implementation of tools is predominant. In these entities, resources are scarce and accounting information systems are not very formalized. In this research work, we therefore sought to identify the typical profile of this manager and to understand his propensity to use accounting data. Several recent studies have highlighted the relevance of the concept of organizational bricolage to analyze the practices of small businesses. With this in mind, we have sought to explore the ways in which managers of small businesses use accounting information systems. For this, we opted for the qualitative research method based on semi-structured interviews with managers of small Tunisian companies. To conduct this study, we used a qualitative methodology. 36 companies were selected for study. The cross-site case study was favored because it maximizes generalization bias. Finally, the profile of the manager has an influence on the SIC and induces a type of MSE. The results of our research led to the conclusion that there are three types of small business leaders: survivalists, emerging and structured.

This research was conducted to see the influence of board characteristics, the firm size on firm value, and financial performance on companies with completed mergers and acquisitions on the Indonesian stock exchange. This study was used to look at financial performance, specifically in 7 years after the company made a merger from 2013-2020. This research instrument uses quantitative analysis data by testing predetermined hypotheses. The study also found that not all variables significantly impact the company's firm value and financial performance when conducting mergers. The main finding is that the more excellent board characteristic of the merger company will result in no improvement in the company's financial performance; this is due to a large number of improper decision-making actions because the rules issued by the board hinders it.

Theories working in the developed world sometimes fail to prove their accuracy in the developing world. So, researchers study these theories based on various countries, on different timelines as the real world is not so straight forward as theories & assumptions. In Bangladesh, very little work has been done regarding the effect of directors’ compensation on firm performance. So, this study has been undertaken to examine the relationship between these two. To test the theory a model comprising the age of the firm, log value of its assets, total asset turnover, firm size, and firm performance was developed. Using a sample of 38 listed firms of DSE from the Pharmaceutical & Chemical and Paper & Printing Industry as per the DSE website fixed-effect model & random effect model was run on the data from 2015 to 2021. And as the Hausman test suggested, the fixed-effect model is chosen to be more fit for BEP (Basic Earning Power). The focus of the study was the impact of directors’ compensation on firm performance. According to the analysis, it showed a negative correlation between directors’ compensation and firm performance. Firm size and asset turnover ratio have moderately positive correlation to the firm’s performance. On the other hand, board independence holds an opposite relation. It was also found that the firm’s age and board size have little to no correlation to the firm’s performance.

This paper investigates the potential correlation between the performance of Audit Committees (AC) and Audit Quality (AQ). Data is derived from capital goods firms listed on the main stock exchange of Saudi Arabia (TASI). Logit regression analysis is used for this purpose and the dependent variable of BIG4 is used as a proxy for AQ, while AC meetings (ACMT), size (ACSZ), and AC members with a financial background (ACEX) are used as explanatory variables. The results show no statistical association between ACMT and AQ. However, the analysis indicates a positive statistical relationship between ACSZ and AQ, and a strong negative association between ACEX and AQ. These findings provide insights into the impact of AC attributes on AQ, and would be of interest to decision makers, policy-makers, investors, and senior management.

Silver is a metal that offers significant value to both investors and companies. The purpose of this study is to make an estimation of the price of silver. While making this estimation, it is planned to include the frequency of searches on Google Trends for the words that affect the silver price. Thus, it is aimed to obtain a more accurate estimate. First, using the Latent Dirichlet Allocation method, the keywords to be analyzed in Google Trends were collected from various articles on the Internet. Mining data from Google Trends combined with the information obtained by LDA is the new approach this study took, to predict the price of silver. No study has been found in the literature that has adopted this approach to estimate the price of silver. The estimation was carried out with Random Forest Regression, Gaussian Process Regression, Support Vector Machine, Regression Trees and Artificial Neural Networks methods. In addition, ARIMA, which is one of the traditional methods that is widely used in time series analysis, was also used to benchmark the accuracy of the methodology. The best MSE ratio was obtained as 0,000227131 ± 0.0000235205 by the Regression Trees method. This score indicates that it would be a valid technique to estimate the price of "Silver" by using Google Trends data using the LDA method.

This study examines the effects of board structure on information disclosure in annual reports of the listed firms in Sub-Saharan Africa countries' stock exchanges. Findings indicate that board size is positive and significantly related to information disclosure. However, findings indicate that the percentage of outside directors is not significantly related to information disclosure. This study contributes to corporate governance literature, especially in regard to the association between attributes of board structure and information disclosure. Findings of this study provide some practical benefits to regulators and policymakers in understanding the nexus between board structure and information disclosure in Sub-Saharan Africa. This would help policymakers and regulators to formulate policies and regulations with regards to board structure and good corporate governance practices, specifically those related to information disclosure.

COVID-19 has caused severe disruptions in global economic activities, and its impacts on stock markets cannot be overemphasized. The study employs market model and event study approach with four events (WHO announcement of COVID-19 as a global health emergency, confirmed infections, confirmed deaths, and vaccination) to examine the reactions of four African regional blocs’ markets to the pandemic from September 1, 2019, to August 31, 2021, to estimate the average abnormal returns of each regional bloc. On the day of the WHO announcement, we document insignificant negative average abnormal returns in the Northern bloc. We also document significant negative average abnormal returns for infections in all but the Northern bloc on the event day. The Western bloc generated the highest significant negative average abnormal return (-43 per cent) on the day COVID-19 death was confirmed on the continent. We finally document insignificant average abnormal returns from weeks 1 to 20 after the first vaccination in the Northern and Eastern blocs. The study recommends that investors, portfolio managers, and speculators not panic during similar pandemics since they can generate significant abnormal returns and diversify their investment holdings across the four regional blocs in Africa, as demonstrated by the COVID-19 pandemic.

This study conducted a test to see the influence of budgeting participation on working performance through managers’ commitment as an intervening variable of managers manufacturing companies listed on Indonesia Stock Exchange (IDX). This study used descriptive analysis and statistical method Structural Equation Modeling (SEM)-Lisrel. The data was collected by using questionnaires given to 124 managers from 108 manufacturing companies listed on Indonesia Stock Exchange. The result showed that budgeting participation has a positive and significant influence on the managers’ performance through managers’ commitment as an intervening variable. The findings of this study added to the limitations of the research literature on the elaboration of variables that determine managers’ commitment and manager’s performance in manufacturing companies.

Economists have exploited the social accounting matrix in linear economic models to analyze the effect of some variables such as government spending, investment, and export on other economic indicators including total output, employment, household income, and economic growth. In this paper, the influence of investment injection on some economic indicators is analyzed. In addition, to gather different indicators in a general view, these economic indicators are applied as inputs and outputs in a data envelopment analysis model. Overall, to get to the best possible economic conditions, a fair revenue allocation method is used based on a data envelopment analysis model to determine each economic sector’s quota of investment. Next, a kind of fair-biased allocation method improving the economic conditions in comparison to the prior model is proposed. Finally, the whole process for Iran’s social accounting matrix and subsequent results are presented.