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This study aims to examine the relationship between employees’ psychological contract breach and two types of voice behavior based on the social exchange theory. Additionally, the study explores the role of globally responsible business leadership in buffering the negative impacts of psychological contract breach on voice.

Survey data was collected from Chinese full-time employees and the final sample size is 337. Partial least squares structural equation modeling was used to test the hypotheses.

Findings indicate that psychological contract breach (PCB) has a positive and significant impact on employee aggressive voice behavior (AVB), while its relationship with constructive voice behavior (CVB) is not significant. Furthermore, globally responsible business leadership (GRBL) weakens the negative relationship between PCB and CVB, while strengthens the positive relationship between PCB and AVB.

The findings assist organizations in better recognizing the detrimental consequences of psychological contract breach. Second, the findings serve as a reminder to managers of the benefits of displaying globally responsible business leadership. Third, managers should recognize the complexities of globally responsible business leadership.

First, this study sheds new light on the impact of PCB on employees’ desirable and undesirable proactive behaviors by investigating how and when psychological contract breach affects two types of voice behavior. Second, the moderating role of GRBL further enriches our understanding of how to buffer negative effects of PCB and the desirable function of GRBL. Third, this study enriches the social exchange theory by investigating whether the leader−employee relationship will compensate for the failure of organization−employee relationship.

This study aims to adopt a systematic review approach to examine the existing literature on law and LLMs.It involves analyzing and synthesizing relevant research papers, reports and scholarly articles that discuss the use of LLMs in the legal domain. The review encompasses various aspects, including an analysis of LLMs, legal natural language processing (NLP), model tuning techniques, data processing strategies and frameworks for addressing the challenges associated with legal question-and-answer (Q&A) systems. Additionally, the study explores potential applications and services that can benefit from the integration of LLMs in the field of intelligent justice.

This paper surveys the state-of-the-art research on law LLMs and their application in the field of intelligent justice. The study aims to identify the challenges associated with developing Q&A systems based on LLMs and explores potential directions for future research and development. The ultimate goal is to contribute to the advancement of intelligent justice by effectively leveraging LLMs.

To effectively apply a law LLM, systematic research on LLM, legal NLP and model adjustment technology is required.

This study contributes to the field of intelligent justice by providing a comprehensive review of the current state of research on law LLMs.