Legal Information Retrieval and Entailment Using Transformer-based Approaches [0.03%]
基于变换器的法律信息检索与蕴含推理方法
Mi-Young Kim,Juliano Rabelo,Housam Khalifa Bashier Babiker et al.
Mi-Young Kim et al.
The challenge of information overload in the legal domain increases every day. The COLIEE competition has created four challenge tasks that are intended to encourage the development of systems and methods to alleviate some of that pressure:...
Overview and Discussion of the Competition on Legal Information, Extraction/Entailment (COLIEE) 2023 [0.03%]
COLIEE 2023比赛概述与讨论（法律信息抽取/蕴含）
Randy Goebel,Yoshinobu Kano,Mi-Young Kim et al.
Randy Goebel et al.
We summarize the 10th Competition on Legal Information Extraction and Entailment. In this tenth edition, the competition included four tasks on case law and statute law. The case law component includes an information retrieval task (Task 1)...
On the Lost Property of Telework During the COVID-19 Pandemic in Japan: From the Perspective of Sociomateriality and Organizational Citizenship Behaviour [0.03%]
从社会物质性和组织公民行为视角看日本新冠疫情时期的居家办公损失的财物问题
Hiroshi Koga
Hiroshi Koga
When telework was discussed in Japan during the COVID-19 pandemic, the context of staying home was strongly considered. As a result, the primary focus has been on carrying out one's assigned work at home. In other words, people tend to focu...
Special Issue: Frontier Research Issues in Social Media Practices in Management and Marketing [0.03%]
专题：管理和市场营销中的社会媒体实践前沿研究问题
I-Hsien Ting
I-Hsien Ting
An Empirical Study of the Effects of Telework During the COVID-19 Pandemic in Japan Using Panel Data [0.03%]
日本新冠疫情下的远程办公效果的面板数据研究
Kazunori Minetaki
Kazunori Minetaki
This study aims to examine the effects of telework on some kinds of satisfaction during the COVID-19 pandemic in Japan. The hypotheses are: (1) the positive relationship between job/life satisfaction and telework exists, (2) the optimum fre...
The Relationship Between Innovation and Corporate Performance in Japanese SMEs by Two-Stage Panel Data Analysis: Focusing on the Joint Effect of ICT and R&D [0.03%]
基于两阶段面板数据分析的日本中小企业创新与企业业绩关系研究——聚焦ICT和研发的协同效应
Taisuke Matsuzaki,Hidenori Shigeno,Teruyuki Bunno et al.
Taisuke Matsuzaki et al.
The final aim of innovation is not innovation itself but enhancing profits or sales. To complete the theory of innovation, it is required to show whether innovation contributed to improvements in business performance. A further focus of thi...
On the Work Autonomy Supported by Information and Communication Technology A Case Study of Work from Home in Japan before the COVID-19 Epidemic [0.03%]
信息和通信技术支持下的工作自主性——日本新冠肺炎大流行前的居家办公案例研究
Sachiko Yanagihara,Hiroshi Koga
Sachiko Yanagihara
Telecommuting increased during the COVID-19 pandemic. To make telecommuting the "new normal," it is essential to not only change the legal system and employment contracts but also reform organizational processes. Prior research has demonstr...
Changes in Consumer Purchasing Behavior of Cultural and Creative Products During the COVID-19 Pandemic [0.03%]
新冠疫情下文化创意产品消费者购买行为的变化分析
Chia-Sung Yen,I-Hsien Ting,Shu-Chen Yang et al.
Chia-Sung Yen et al.
The COVID-19 pandemic that began in 2020 has led the changes of many business models, including rapid growth in e-commerce that had made the change of consumers' shopping behavior from physical to online shopping. This study takes Taiwan's ...
Fluctuations in the Number of Stores by Industry During the COVID-19 Pandemic Based on Japanese Phone Book Entries [0.03%]
基于日本电话簿条目的COVID-19大流行期间行业商店数量波动
Saki Saito,Mariko I Ito,Takaaki Ohnishi
Saki Saito
Currently in Japan, summaries of the number of bankruptcies due to the spread of COVID-19 can only be obtained from surveys conducted by a few research firms targeting particular companies. In this study, we used Japanese telephone director...
Propagation of Shocks in Individual Firms Through Supplier-Customer Relationships [0.03%]
供应链关系如何传播企业冲击？
Ryoji Sato,Takayuki Mizuno
Ryoji Sato
We quantify the magnitude of shock that propagates individual firms through direct supplier-customer relationships. First, we construct machine learning models that predict a firm's sales growth rate based on corporate attributes and sales ...