Thursday, February 18, 11:45 a.m. - 1:00 p.m.

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2021
Thursday, February 18th
11:45 AM

Leadership in an Artificial Intelligence Era

Tatjana Titareva

11:45 AM - 1:00 PM

The current literature review attempts to combine the two topics “leadership” and “artificial intelligence” by highlighting the main perspectives in the research field of Leadership in Industry 4.0, dominated by Artificial Intelligence (AI)-based technologies. The current literature review identifies the three main directions of the scholarly and practitioner research: 1) AI as an additional assistance to current leadership functions (enhancement perspective); 2) AI to replace followers and leaders (replacement perspective); and 3) AI as “an oversold idea” (skeptical perspective). This literature review addresses a lack of substantial literature review and empirical data providing a balanced view of different perspectives on AI-based technologies’ influence on the leadership of modern organizations. The objective of the current paper is to conduct an initial literature review on Leadership in Industry 4.0, dominated by AI-based technologies, with emphasis on the AI-based technologies’ influence on the leadership of modern organizations. The current literature review attempts to answer the following research question: "What are the main perspectives of the scholarly and practitioner research directions in the period 2010-2020 in the field of Leadership in an Artificial Intelligence era?” Possible contribution of this paper is that identified perspectives could become a basis for future empirical research by the author and other scholars and practitioners in the field.

Keywords: leadership; Industry 4.0; artificial intelligence

Self-Guiding Behavior Change using a Mobile App

Kyriakos Tsoukalas

11:45 AM - 1:00 PM

Based on the expanding usage of smartphones as the platform for computer applications, this paper addresses the information asymmetry between personal and factual observations that inform a decision-making process. The purpose of this paper is to propose a model to help self-guided behavioral change based on collection of personal information. A mobile application exemplifies self-guiding behavioral change through the collection of daily quantitative data and the retrieval of descriptive statistics during decision-making.

Session 1a Recording: Technological Advances and Considerations for Leadership

Tatjana Titareva, James Madison University
Kyriakos Tsoukalas, Virginia Tech
Moriah Poliakoff, Boston College

11:45 AM - 1:00 PM

Discussant: Andy Miller, Eastern Mennonite University/James Madison University
Chair: Brooke Z. Graham, James Madison University

Leadership in an Artificial Intelligence Era
Tatjana Titareva, James Madison University
Presentation Slides

Self-Guiding Behavioral Change using a Mobile App
Kyriakos Tsoukalas, Virginia Tech

The Leadership of Hans Jonas: Responsibility in a Technological Age
Moriah Poliakoff, Boston College