Known for its practical approach and real-life examples, the third edition of Practical Business Negotiation continues to equip readers with the necessary knowledge and tools to negotiate well in business. This latest edition comes with a refreshed set of case studies and addresses the topic of Artificial Intelligence (AI) in negotiations. Designed to include non-native English speakers, it employs a clear writing style and explains key terminology to enable readers to operate at an international standard. Chapters guide readers on getting started and getting through the negotiation process with a sequence of actions, expectations when negotiating, planning tools, applicable language, interactions with different cultures, and the completion of a negotiation. Each section of this book contains one or two key takeaways about planning, structuring, verbalizing, or understanding negotiation. With its practical focus, this book is ideal for introductory negotiation courses or postgraduate courses where students already have an industry background. Detailed teaching notes for the case simulations in Appendix II are available as a digital download for instructors.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.