1843: Navigating the AI Revolution: AI’s Impact on Business Practices and Employee Experiences (17622)

Organizer(s)

• FZ

  Fangfang Zhang

  Curtin U., Perth, Australia

Participant(s)

• YZ

  Yifan Zhong

  U. of Western Australia, UWA Business School, Australia
• AT

  Amy Wei Tian

  Curtin Business School, Australia
• AH

  Andreas Hirschi

  U. of Bern, Work and Organisational Psychology, Switzerland
• SW

  Suqing Wu

  Zhejiang U., School of Management
• MR

  Mengqi Ruan

  Zhejiang U., School of Management
• SC

  Siyu Chen

  Zhejiang U., China

Organizer(s)

• FK

  Florian Klonek

  Deakin U., Australia

Presenter(s)

• XL

  Xiaoxuan Li

  Huaqiao U., China
• XG

  Xiaolin Ge

  Beijing Normal U., China
• SS

  Shanghao Song

  Beijing Normal U., China
• FK

  Florian Klonek

  Deakin U., Australia
• YL

  Yukun Liu

  Zhejiang U., China, China

Participant(s)

• XZ

  Xiaoyan Zhu

  Huaqiao U., Business School
• MY

  Miles M. Yang

  Macquarie U.

This symposium presents an in-depth exploration of the transformative impact of Artificial Intelligence (AI) on business and organizational operations. This symposium brings together a diverse range of research that delves into the multifaceted relationship between AI and various business aspects, including corporate social responsibility, human resource management (HRM) practices, and employee psychological experiences. Li, Zhu, and Yang's presentation initiates the symposium with an investigation into the U-shaped relationship between AI adoption growth rate and Corporate Social Responsibility (CSR) in Chinese firms. Utilizing the resource-based view and data from the China Stock Market and Accounting Research (CSMAR) database, this study reveals the nuanced evolution of AI integration and its implications for CSR. Ge, Song, Zhang, Zhong, and Tian follow with an examination of generative AI, particularly ChatGPT, in HRM practices focusing on age-diverse workforces. This study compares ChatGPT’s responses in HR decision-making scenarios with those of human professionals, highlighting the potential of AI in enhancing HRM efficiency and reducing age-based biases. Klonek and Hirschi's presentation shifts the focus to AI’s rapid integration into workplaces and its impact on work design and employee outcomes. Analyzing a vast dataset of tweets related to ChatGPT and work experiences, this research quantifies key work design experiences and employee attitudes, revealing both positive and negative effects of AI on job design and employee wellbeing. Lastly, Wu, Liu, Ruan, and Chen’s presentation investigates the augmentation effect of generative AI collaboration on human task performance and its psychological impacts. Through an experimental design involving tasks with and without ChatGPT assistance, this study uncovers the nuanced psychological effects of AI-human collaboration, highlighting the importance of balancing AI benefits with human psychological wellbeing. Overall, the symposium underscores the necessity of understanding the complex dynamics between AI and business to effectively navigate the evolving landscape of AI in the business world. It offers valuable insights for policymakers, corporate leaders, and stakeholders in harnessing AI's potential while addressing its challenges and ethical considerations.

Presentations:

• 08:00 – 09:30 CT (GMT-5/UTC-5)

  1843: Exploring a U-shaped Relationship of AI Adoption Growth Rate with Corporate Social Responsibility (17622)
  

  Author: Xiaoxuan Li – Huaqiao U.

  Author: Xiaoyan Zhu – Huaqiao U., Business School

  Author: Miles M. Yang – Macquarie U.
• 08:00 – 09:30 CT (GMT-5/UTC-5)

  1843: Can Generative AI Shield Older Employees from Age Discrimination? (17622)
  

  Author: Xiaolin Ge – Beijing Normal U.

  Author: Shanghao Song – Beijing Normal U.

  Author: Fangfang Zhang – Curtin U., Perth

  Author: Yifan Zhong – U. of Western Australia, UWA Business School

  Author: Amy Wei Tian – Curtin Business School
• 08:00 – 09:30 CT (GMT-5/UTC-5)

  1843: How Does AI Affect Job-Related Attitudes and Work Design? A Text-Analytical Approach (17622)
  

  Author: Florian Erik Klonek – Deakin U.

  Author: Andreas Hirschi – U. of Bern, Work and Organisational Psychology
• 08:00 – 09:30 CT (GMT-5/UTC-5)

  1843: Human-GenAI Collaboration Sustains Performance Yet Diminishes Motivation (17622)
  

  Author: Suqing Wu – Zhejiang U., School of Management

  Author: Yukun Liu – Zhejiang U., China

  Author: Mengqi Ruan – Zhejiang U., School of Management

  Author: Siyu Chen – Zhejiang U., China