PSAK 69 Agriculture regulates the accounting treatment of agricultural activities in Indonesia. The measurement of biological assets is the most important part of the arrangement of PSAK 69. PSAK 69 deals with biological assets measured at fair value less costs to sell at the beginning and end of the reporting period. Characteristics of growing biological assets will have an impact on the growth in fair value of assets, so there will be differences in fair value at the beginning and end of the financial reporting period. The difference in fair value of biological assets, whether realized or not, is recognized as gain in the current period. This will have an impact on the quality of the company's earnings. This study aims to examine differences in earnings quality before and after the implementation of PSAK 69 in agricultural sector companies listed on the Indonesia Stock Exchange. The research was conducted on 14 agricultural companies listed on the Indonesia Stock Exchange in the 2016-2019 observation period. Earnings quality is measured by the earnings response coefficient. Earnings response coefficients are estimated using the firm specific coefficient model (FSCM) and pooled cross-sectional regression model (CSRM) methods. This study measures the quality of earnings before and after the application of PSAK 69. The quality of earnings before and after the application of PSAK 69 is tested by a paired two-sample t-test. The results of this study found no difference in earnings quality before and after the application of PSAK 69.

This study focuses on measuring the impact of trade agreements on Vietnam's rice exports based on secondary data sources produced by the General Statistics Office, the World Bank, and International Monetary Fund. Structural gravity model was employed for analyzing and quantifying the impact of trade agreements on rice export of Vietnam. The results show the impact of Trade Agreements on Vietnam’s rice exports is relatively low and not all Agreements bring positive effects. Based on the findings, we give some recommendations for Vietnam's rice export to adapt more to the contents and standards of the Trade Agreements and will be participating in the future.

The purposes of this research were to understand the profitability performance and its influencing factors based on DuPont Analysis and the effect toward the value of the firm. As a causality research, the sample data involved were 20 non-banking and finance companies as listed on LQ-45 of Indonesian Stock Exchange (IDX) years of 2014-2018, which could be classified into two types of industry; manufacture and non-manufacture sectors. The research’s quantitative design as a systematic approach of the relation among the variables focusing on the hypothesis testing done by data analysis tools using GLS Regression test of panel data. Profitability determinants of net profit margin, total assets turnover and financial leverage multiplier showed the result of positive and significant effect toward ROE (return on equity), while growth sales ratio showed the negative and significant effect. In terms of the relationship toward value of firm, the ROE and industry types were proven to have significant positive contributions. This implied that the management must be more efficient and effective in managing the company operational activities and minimizing the operational costs and other costs, both in the assets dan debt usage to have maximal product results, to increase sales, net income, profit rate and return of equity where they will affect the increasing of investors’ and the market’s trust toward the firms since the increasing of return on equity for the owners and the shareholders. The different characteristics, traits and features of the industry’s types resulted in the different use of strategies in managing the firms’ operational activities. These all affected the increasing value of the firm.

Corporate social responsibility (CSR) is one of the important factors to increase the customer satisfaction. It is part of the economic, legal and moral exercises of a business element guided towards enhancing the business and societal desires. However, companies are facing various issues while adopting CSR practices, particularly Indonesian logistics companies. Challenges in the way of CSR practices affect adversely on customer satisfaction. Therefore, the objective of the present study is to highlight the role of CSR in customer satisfaction among Indonesian logistics firms. In this study, opinions of logistics customers were gathered through survey questionnaires. All the responses were analyzed through structural equation modeling technique. The findings of the study suggest that logistics companies should focus on two CSR practices, 1) environmental contribution and, 2) human resources. Environmental contribution and human resource promote community development which lead towards higher customer satisfaction.

The use of an online accounting system is considered to be a major innovation in accounting in the application of the stages of the company's accounting cycle. The purpose of this study is to evaluate cloud-based accounting systems in terms of compliance with accounting standards, security systems using the Parkerian Hexad theory and the functions of each part of Accurate Online. The form of this research is qualitative and quantitative. The data collection method was carried out by distributing questionnaires and interviews to Accurate Online users. The sample of this research was obtained as many as 113 samples. The results of this study indicate that Accurate Online has passed all levels of technological readiness, and is on a scale of 9 in technological readiness, which has become a trusted cloud-based accounting information system that has proven to be successful in operating the technology, as well as in providing the benefits of ease of management. corporate financial transactions.

This study focuses on the factors of financial supply chain (FSC), financial institutions, and inventory for supply chain efficiency through various cost dimensions. To address this objective, a questionnaire is developed, based on various items of selected variables and it is presented to a targeted sample of supply chain practitioners, business managers and industry experts. A final sample of 216 respondents is observed for both descriptive and inferential analysis. To check the significance of each indicator under FSC, financial institutions and inventory factors, confirmatory factor analysis is conducted. Empirical facts explain that factors like financial supply chain as risk prevention strategy had a significant influence on supply chain efficiency. Through inventory factors, communication with vendors for raw material also indicate a significant impact on efficiency of Supply Chain (SC). This study would help both industry experts and business managers integrate financial supply chain, inventory factors and financial institutions for cost efficiency of supply chain. The limitations of the study includes a limited sample size and restricted indicators of inventory management. Future studies can be implemented while addressing these limitations through improved econometric methods.

Artificial intelligence (AI) systems have significantly changed the audit process; nevertheless, the AI revolution opponents view this growth as a step-back as many auditors will fail to adapt to this new environment and will drop behind. Our descriptive study examines the perceived ease of use, usefulness, and contribution to the audit quality of different AI’s types. To address local audit firms concerns about their readiness to use AI systems in auditing processes and to advance auditing research, we examine whether perceived ease of use, usefulness, and contribution to audit quality vary by AI systems type (Assisted, Augmented, and Autonomous). An online questionnaire was used to collect data from 124 auditors representing local audit firms in Jordan. Our results indicate that auditors perceive Assisted and Augmented AI systems as ease of use in auditing while perceiving Autonomous AI systems as complicated to use. Besides, Auditors are underestimating Autonomous AI systems’ capabilities and perceived it as not useful for auditing. The results also reveal a significant difference between the perceived contribution to audit quality by the three AI systems types. This study contributes to the existing literature on AI and auditing by developing and testing a measure for AI systems’ perceived contribution to audit quality. This study also provides empirical evidence on how Jordan local firms auditors perceive AI use in auditing.

Liquidity refers to the paying ability of the business organization while profitability assesses the profit earning capacity of the business organization. The liquidity of the business organization can be bifurcated into two based on time i.e., short-term and long-term liquidity. The short-term liquidity reveals the operational efficiency while long-term liquidity refers to the financial capability to repay the long-term debts of the business organization. The short-term paying ability is the management of the working capital or efficient management of the current assets and current liabilities. The current assets and current liabilities are directly related to the revenue of the business and further affected by the profitability, indirectly. The long-term paying ability or financial health of the business organization is reflected by the debts and equity ratio. The energy sector of Saudi Arabia is a prominent sector and contributes to the economy progressively. The study is based on secondary data and reveals the long-term and short-term liquidity variations and the cohesiveness of long-term and short-term liquidity with the revenue and profitability of energy sector companies. The study reveals the significant variations in the short-term and long-term liquidity and cohesiveness between the revenue, profitability, and short-term and long-term liquidity of the energy sector companies.

The present article exposes a model of Mixed Integer Linear Programming (MILP) as a support for strategic decision making, guided to the location of facilities in ethanol supply chains under a configuration of collection centers of raw material and production plants, directly impacting costs related to logistics and operations. The model is applied to the supply chain for the production of ethanol from two by-products and a coffee residue (pulp, mucilage, and stems, respectively) in Colombia. The results obtained by the model allow identifying locations for the corresponding links to the three types of biomass considered, and the flows of raw material between coffee producing departments and collection centers, from the latter to production plants, and from this, where the transformation of ethanol to mixing centers is generated.

Steel futures have the function of price discovery and hedging. Steel related enterprises can judge the hedging strategy through the direction of steel futures price volatility, and reasonably avoid the risk brought by price volatility. Therefore, it is particularly important to study steel futures price volatility and its influencing factors. Because steel futures in China have characteristics of peak and rear tail aggregation, the paper constructs Model of GARCH (1,1) to make positive analysis of futures price volatility and its influencing factors of deformed steel bars and hot rolled coils, and the following conclusions have been drawn: (1) The volume and open interest of deformed steel bars have very significant explanatory ability to futures price volatility of deformed steel bars; (2) The volume and open interest of hot rolled coils also have very significant explanatory ability to futures price volatility of hot rolled coils; (3) The sustainable capacity of the price volatility of deformed steel bars and hot rolled coils is relatively small; (4) Iron ore price have no obvious explanatory ability to futures price volatility. Finally, some managerial implications and suggestions are derived from the analysis of the proposed model.