Business Commons^™

Outsourcing Voting To Ai: Can Chatgpt Advise Index Funds On Proxy Voting Decisions?, Chen Wang

Fordham Journal of Corporate & Financial Law

Released in November 2022, Chat Generative Pre-training Transformer (“ChatGPT”), has risen rapidly to prominence, and its versatile capabilities have already been shown in a variety of fields. Due to ChatGPT’s advanced features, such as extensive pre-training on diverse data, strong generalization ability, fine-tuning capabilities, and improved reasoning, the use of AI in the legal industry could experience a significant transformation. Since small passive funds with low-cost business models generally lack the financial resources to make informed proxy voting decisions that align with their shareholders’ interests, this Article considers the use of ChatGPT to assist small investment funds, particularly small passive …

Chatgpt Unveiled: Unleashing Ai Magic In Online Shopping And Digital Marketing, Jianping Huang, Mark J. Sciuchetti Dr.

Atlantic Marketing Journal

This research paper explores the use of AI, specifically ChatGPT, in interactive activities within

online shopping and digital marketing. The paper examines the potential of AI-powered chatbots

to enhance customer engagement, personalization, and marketing effectiveness. Through a

literature review, case studies, and user feedback analysis, the research highlights the benefits of

AI chatbots in providing real-time assistance, personalized recommendations, and improved

customer experiences. The paper also addresses ethical and privacy concerns associated with AI

implementation and discusses future research directions. The findings are expected to suggest

that AI-powered chatbots have the potential to revolutionize online shopping and digital

marketing by …

Industry 4.0 Applications Towards Sustainability In Hospitality: First Waves In The Guest Room, Sanjay Nadkarni, Florian Kriechbaumer, Natasa Christodoulidou, Marcus A. Rothenberger

Journal of Global Business Insights

Digitalization is positioned as an important element for the future of hospitality related services, especially since the onset of the COVID-19 pandemic (Gursoy & Chi, 2020; Shin & Kang, 2020). Historically, digitalization focused on amplifying returns by increasing revenue and operational efficiency. The hospitality industry utilizes resources intensely to function well; and when used properly, technological improvements can optimize the development of a sustainable business model. This manuscript explores the role of recent innovations in digitalization, such as Big Data, the Internet of Things (IoT), and artificial intelligence (AI) in enabling environmental sustainability in hotels. These innovations become transparent …

The Need For International Ai Activities Monitoring, Parviz Partow-Navid, Ludwig Slusky

Journal of International Technology and Information Management

This paper focuses primarily on the need to monitor the risks arising from the dual-use of Artificial Intelligence (AI). Dual-use AI technology capability makes it applicable for defense systems and consequently may pose significant security risks, both intentional and unintentional, with the national and international scope of effects. While domestic use of AI remains the prerogative of individual countries, the unregulated and nonmonitored use of AI with international implications presents a specific concern. An international organization tasked with monitoring potential threats of AI activities could help defuse AI-associated risks and promote global cooperation in developing and deploying AI technology. The …

The Applications Of Artificial Intelligence In Managing Project Processes And Targets: A Systematic Analysis, Cherie Noteboom, Martinson Ofori, Zixing Shen

Journal of International Technology and Information Management

Artificial intelligence (AI) has emerged as the defining technology of the 21st century and has far-reaching impacts on project management (PM). This study assesses the applications of AI in managing project processes and targets through a systematic analysis of publications from 2017 to 2021. The analysis has revealed interesting insights, trends, gaps, and issues. This study informs the researchers and practitioners of the status of AI applications in the management of project processes and targets. It helps stimulate research efforts that can lead to more advances in applying AI to augment PM practices.