There were still contradictory results from earlier research on the relationship between organizational innovation, performance, and management control systems (MCS). In order to account for these contradictory results, future studies ought to concentrate on the empirical analysis of Simon's MCS theory. The purpose of the study was to assess the mediation and moderation model in relation to performance, innovation, and MCS. The study intends to broaden the scope by employing a more thorough definition and measurement of research variables. Because the Partial Least Square (PLS) can concurrently assess the existence of a dual dependency relationship of a latent variable, the study used PLS to test the hypothesis. The mediated hypothesis which holds that MCS indirectly affects performance through innovation seems to be supported by these data. All things considered, this study contributes to the understanding of the ambiguous and contradictory conclusions of earlier studies that examined the connection between MCS, innovation, and performance.

Several models have been developed to predict financial difficulties and corporate bankruptcy. In this research various models were employed, including the Altman model (referred to as the Z-Score), the Springate model (known as the S-Score), the Zmijewski model (designated as the X-Score), and the Grover model (referred to as the G-Score). These techniques serve the purpose of evaluating the likelihood of encountering financial difficulties, which in turn determines the probability of PT Garuda Indonesia (Persero) Tbk going bankrupt. The study utilized secondary data sourced from financial statements spanning the years from 2020 to 2022. The application of the Altman model for bankruptcy prediction revealed that PT Garuda Indonesia (Persero), Tbk experienced financial distress throughout the period from 2020 to 2022. According to the Springate model, the company was in a state of distress and declared bankruptcy in 2020 and 2022, while 2021 fell into a grey area. The Zmijewski model indicated that the company was on the brink of bankruptcy, with financial difficulties and a potential risk of bankruptcy within the next three years. Grover's model predicted bankruptcy for the company in 2020 and 2022, but indicated safety in 2021. Notably, the Taffler model emerged as the most accurate in forecasting bankruptcy, boasting a 100% accuracy rate with no errors. Meanwhile, the Zmijewski model achieved an 81.25% accuracy rate with an error rate of 18.75%, and the Springate model exhibited the lowest accuracy in bankruptcy prediction, scoring only 12.50% accuracy with an error rate of 87.50%.

This study aimed to investigate the effect of management control system enabling with capabilities that can improve the performance of SMEs. This study was conducted among the managers of SMEs of local food products in Banten Province, Indonesia. The number of respondents in this study was 85 SME managers. This study used structural equation modeling as an analytical tool and PLS Smart software to process the data. The findings of this study show that there was a positive effect of the use of enabling management control system (MCS) on creativity; there was a positive and significant effect of the use of Enabling MCS on cost efficiency; there was a positive and significant effect of the use of Enabling MCS on performance; there was a positive and significant effect of creativity on innovation; there was a positive and significant effect of cost efficiency on performance; and finally there was a positive and significant effect of innovation on performance. The implication of this study is that it can provide a choice of control system for SME management, which up to now still uses conventional control system. The use of Enabling MCS can create a capability for the managers of SMEs of local food products to win the competition. This is due to the uniqueness of Enabling MCS that can increase creativity and also cost efficiency.

The aim of this study is to determine if there is a relationship between the number of commissioners on the committee, ownership concentration, the Risk Management Committee, business size, and leverage on enterprise risk management. Take, for example, insurance companies listed on the Indonesia Stock Exchange. Purposeful sampling was used in the sampling process. Supplementary data was obtained from the website of the Indonesia Stock Exchange. Panel data regression analysis was used as the research method. Although business size had an effect on enterprise risk management transparency, board size, stake concentration, the risk management committee, and leverage had little effect. By integrating the variables Board of Commissioners Size and Ownership Concentration, as well as employing dynamic equation modeling to examine the above relationships, which have been overlooked in previous analyses, and analyzing more recent evidence from a developed world perspective, this study contributes to the management accounting literature and organization theory. The findings would be useful to Indonesian practitioners, especially those in management positions in insurance companies and financial institutions.