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Inspired by the basic idea of gradient boosting, this study aims to design a novel multivariate regression ensemble algorithm RegBoost by using multivariate linear regression as a weak predictor.

To achieve nonlinearity after combining all linear regression predictors, the training data is divided into two branches according to the prediction results using the current weak predictor. The linear regression modeling is recursively executed in two branches. In the test phase, test data is distributed to a specific branch to continue with the next weak predictor. The final result is the sum of all weak predictors across the entire path.

Through comparison experiments, it is found that the algorithm RegBoost can achieve similar performance to the gradient boosted decision tree (GBDT). The algorithm is very effective compared to linear regression.

This paper attempts to design a novel regression algorithm RegBoost with reference to GBDT. To the best of the knowledge, for the first time, RegBoost uses linear regression as a weak predictor, and combine with gradient boosting to build an ensemble algorithm.

The study aims to provide new evidence on the relationship between the board of commissioners (BOCs) and audit committee (AC) as a primary corporate governance structure toward business strategy typologies.

The authors use logistic regression analyses with a sample of industrial companies listed on the Indonesia Stock Exchange from 2012–2018. Data of the BOC and AC are hand-collected from the annual reports and analyzed using the content analysis.

The study finds evidence that the effectiveness of the BOC is more likely to have a positive association with the prospector strategies. The authors also find that the AC's effectiveness is more likely to associate negatively with prospector strategies. As the board monitoring system, the findings appear to disclose that the BOC and ACs following the prospector strategies are more likely to focus on achieving the entity's strategy than monitoring financial reporting and internal control functions compared with the defender strategies.

The results have significant practical implications to help explain that despite the corporate governance mechanisms that are likely to exist, prospectors are still likely to have weaker internal control and less likely to remediate material weaknesses (MWs) than defenders due to their specific business strategy related attributes.

The study extends the studies on the corporate governance mechanism using the BOC and the AC's roles in business strategy setting from the strategic management literature using Miles and Snow's (1978; 2003) framework.

While entrepreneurship may be driven by personal interests and lifestyle choices, entrepreneurial actions are not only economically driven opportunity-searching processes but also enactments of social transformation that may or may not lead to socioeconomic benefits. We advance that exploring these entrepreneurial processes can inform a theory of the firm that may explain how socioeconomic processes shape the socioeconomic environment of communities while serving individuals. This article discusses several understandings of the firm, as theorized in extant literature. Guided by these different conceptualizations, we present a case study of an artist and artisan cluster in Western Massachusetts to demonstrate various understandings of entrepreneurial processes. By way of conclusion, we develop the idea of the firm as a geographically embedded relational understanding aiding entrepreneurs to achieve personal goals while coconstructing their local environment.

The purpose of this paper aims to model interaction relationship of traffic agents for motion prediction, which is critical for autonomous driving. It is obvious that traffic agents’ trajectories are influenced by physical lane rules and agents’ social interactions.

In this paper, the authors propose the social relation and physical lane aggregator for multimodal motion prediction, where the social relations of agents are mainly captured with graph convolutional networks and self-attention mechanism and then fused with the physical lane via the self-attention mechanism.

The proposed methods are evaluated on the Waymo Open Motion Dataset, and the results show the effectiveness of the proposed two feature aggregation modules for trajectory prediction.

This paper proposes a new design method to extract traffic interactions, and the attention mechanism is used in each part of the model to extract and fuse different relational features, which is different from other methods and improves the accuracy of the LSTM-based trajectory prediction method.

This study examines whether managers adopt corporate social responsibility (CSR) disclosures to suppress earnings management practices and whether corporate governance mechanisms could limit such practices.

A quantitative approach was followed, in which secondary data from listed firms from 2014 to 2019 were gathered. Descriptive statistics and inferential techniques were performed, which included correlation, ordered logistic regression and 2SLS panel regression analyses.

The findings indicate that firms use CSR disclosure to conceal managers' opportunistic behaviour via earnings management as an entrenchment strategy and that corporate governance mechanisms could significantly constrain such behaviour.

This study goes beyond the conventional agency theory by incorporating additional theoretical perspectives from stakeholder and legitimacy theories, resulting in a multi-theoretical perspective in conceptualizing the study.

The findings are expected to have significant policy implications, especially in limiting the opportunistic use of CSR disclosures and reducing earnings management practices to safeguard stakeholders' interests and ensure the sustainability of business entities.

The levels of CSR and board governance practices are captured using comprehensive indices. Moreover, earnings management was operationalized using both accrual-based and real earnings management proxies. Furthermore, while addressing an empirical dearth noted, the findings provide significant policy implications for limiting managers' opportunistic and unethical use of CSR disclosures with corporate governance mechanisms.