Paul B. Lowry, Professor in Business Information Technology, Pamplin College of Business, Virginia Tech
Examining the Differential Effectiveness of Fear Appeals in Information Security Management Using Two-Stage Meta-Analysis. The human element has long been identified as the weakest link in organizational information security management (ISM). Despite extensive research on shaping employees’ behaviors toward better security practices, significant inconsistencies and disagreements pervade the literature, especially around fear-appeals, which are persuasive messages to modify users’ security behaviors. Specifically, research has not reached a consensus on the influence and modeling of threat appraisal, coping appraisal, and fear within the frameworks of Protection Motivation Theory (PMT) and the Extended Parallel Process Model (EPPM). In short, our research attempts to answer three key research questions that represent theoretical and empirical conflicts in the extant literature.
Mary C. Lacity, Distinguished Professor of IS, Sam M. Walton College of Business, University of Arkansas.
The Rocky Road to Enterprise Blockchain Adoption. Enterprise-grade blockchain applications promised a significant amount of business value, including transacting directly with trading partners, eliminating the need for reconciliations, instantly tracking assets, providing data provenance, settling transactions quickly and cheaply, and enabling a security model that is fault tolerant, resilient, and available. Nearly all enterprise blockchain applications used private networks, including Everledger to track diamonds, WeTrade for trade financing, TradeLens to track shipping containers, the Australian Securities Exchange to transact securities, and the IBM Food Trust to trace food. The Fall of 2022 shuttered many of these applications. Dr. Mary Lacity, who served as Director of the Blockchain Center of Excellence for 5 years at the Sam M Walton College of Business at the University of Arkansas, researched why private blockchains are shutting down and why public blockchains will likely be the next phase for enterprises.
User Responsibility and AI Delegation: An Investigation in the Context of Highly Automated Vehicles. This present study, still in progress, aims to investigate the interplay between individual responsibility, delegation, trust, and attentional engagement within the context of task execution guided by AI agents. This emerging area of AI delegation involves the transfer of task-related rights and responsibilities between humans and AI systems. This phenomenon has gained substantial interest in both practice and research due, in part, to the rapid evolution of AI capabilities that now enable the automation of complex tasks. The complex nature of the delegation process has sparked inquiries into its underlying principles. Notably, the realm of highly automated vehicles exemplifies this complexity, as the perceptions of human drivers, the intentions of manufacturers, and legal frameworks often diverge regarding roles and responsibilities. Thus, a systematic examination of user behaviour and driver responses in scenarios where AI agents control tasks becomes essential. Through a two-phase approach utilizing questionnaires, this study sheds light on how responsibility and trust in AI systems influence the intention to takeover (or regain control) over tasks. These effects are further mediated by the user’s sense of agency within the situation and their situational awareness. By untangling these relationships, the study contributes to our understanding of the interplay between human agents and AI systems.
Ryad Titah, Professeur agrégé et Directeur*, et Zoubeir Tkiouat, Candidat au doctorat* (*Dép. de TI, HEC Montréal)
User Responsibility and AI Delegation: An Investigation in the Context of Highly Automated Vehicles. This present study, still in progress, aims to investigate the interplay between individual responsibility, delegation, trust, and attentional engagement within the context of task execution guided by AI agents. This emerging area of AI delegation involves the transfer of task-related rights and responsibilities between humans and AI systems. This phenomenon has gained substantial interest in both practice and research due, in part, to the rapid evolution of AI capabilities that now enable the automation of complex tasks. The complex nature of the delegation process has sparked inquiries into its underlying principles. Notably, the realm of highly automated vehicles exemplifies this complexity, as the perceptions of human drivers, the intentions of manufacturers, and legal frameworks often diverge regarding roles and responsibilities. Thus, a systematic examination of user behaviour and driver responses in scenarios where AI agents control tasks becomes essential. Through a two-phase approach utilizing questionnaires, this study sheds light on how responsibility and trust in AI systems influence the intention to takeover (or regain control) over tasks. These effects are further mediated by the user’s sense of agency within the situation and their situational awareness. By untangling these relationships, the study contributes to our understanding of the interplay between human agents and AI systems.
- Mme Mina Rohani : Diplômée du Dép. de marketing. Elle est présentement Senior UX Researcher au sein de Meta (Ex- Google, Ex-Academic).
- M. Nasser Shahrasbi : Diplômé du Dép. de TI. Il est présentement professeur agrégé en systèmes d’information à San Francisco State University.
Scholar to Silicon: How I Carved My Path From Academia to Google & Meta. This workshop delved into the process of repositioning your academic experiences and skills for the tech industry. Drawing from real-life experiences of the presenters, the workshop have offered practical insights into making a successful pivot to tech giants like Facebook, Apple, Amazon, Netflix, and Google (aka FAANG). This workshop should be useful for both Ph.D. and Masters students aiming for a foot in the tech giant’s door. Even faculty members curious about navigating a tech career with a non-tech background might find it enlightening, especially as the presenters shared their unique and inspiring journey. Participants were guided through strategies to reframe their academic experiences, showcasing how skills honed in research, teaching, and scholarly pursuits can be realigned to meet the dynamic requirements of the tech world
Panel sur le leadership académique en systèmes d’information animé par :
- Anne-Marie Croteau (Professeure en technologie de l’information et Doyenne de la John Molson School of Business, Univ. Concordia)
- Geneviève Basselier (Professeure agrégée en systèmes d’information et Vice-doyenne aux programmes, Faculté de gestion Desautels, Univ. McGill)
- Alain Pinsonenault (Professeur titulaire en systèmes d’information et Directeur académique du programme EMBA, Univ. McGill)
- Jacques Robert (Professeur titulaire en technologie de l’information et Directeur des affaires internationales, HEC Montréal)
- Jean Talbot (Professeur émérite et précédemment Professeur titulaire en technologie de l’information, HEC Montréal)
Désolés pour le texte en anglais. This GReSI event consisted of a panel on academic leadership in information systems, which featured five esteemed colleagues from McGill University, Concordia University, and HEC Montreal, who have demonstrated exceptional leadership through engaging in different roles in their academic institution. The panelists shared their insights and experiences on various facets of academic leadership (e.g., research, teaching, innovation, administration). The themes covered included the following: the different avenues for demonstrating leadership as an IS faculty in a business school; the way academia values these avenues; the timing for demonstrating leadership; the means to build academic leadership capabilities. This panel was particularly valuable to PhD students in information systems who are interested in developing their leadership skills and pursuing successful careers in academia.
Elizabeth Heichler, Editorial Director, MIT Sloan Management Review.
Translating Research to Inform Executives’ Critical Thinking About Technology. Technology is now considered key to virtually every organization’s strategic advantage — but given the volume of available solutions and the speed of tech evolution, leaders are continually challenged to distinguish hype from real potential and to fully understand both the opportunities and risks of new tools. A major pillar of MIT Sloan Management Review’s editorial mission is to help executives make better decisions about tech adoption and management —that’s why we’re always looking out for new academic research into technology that has implications for practice. This talk will cover tech topics that are at the top of our agenda, and review examples of articles on tech that we’ve published in the last few years to illustrate what makes a piece successful. It will also advise on good practices for authors making a proposal or submission to practitioner journals such as MITSMR.
Mohamed-H. Charki, Associate Professor, EDHEC Business School (France).
Nonwork-related Creativity: Toward A New Perspective on Creativity via Enterprise Social Media. Organizational success is strongly associated with employee creative performance, and organizations have been increasingly relying on enterprise social media (ESM) platforms to foster the generation of creative work-related ideas. At the same time, the unique nature of ESM allows many employees to generate creative ideas, not only in the work domain but also in the nonwork domain. Still, the synergetic combination between nonwork and work-related ideas has not been examined despite prior work pointing to employees’ capacity to discover work-related ideas when they are drawn into their coworkers’ nonwork-related ideas. We contribute to the information systems (IS) literature on ESM by examining an increasingly common, yet understudied form of creativity embedded in the nonwork domain of ESM. Through the lens of the work-life enrichment theory, we develop a research model that investigates the role of nonwork-related creativity in fostering employee creative performance. By using three studies from a French e-commerce company, panel data from a survey of French knowledge workers, and panel data from a survey of US workers, we develop a theoretically informed and empirically tested model that shows the extent to which nonwork-related creativity positively impacts employee creative performance via work-related creativity. We contribute to the IS literature by showing that the phenomena of nonwork and work ESM seem to be semantically independent, our results show that nonwork-related creativity and work-related creativity are dependent when impacting employee creative performance.
Brian Pentland, Endowed Professor, Dept. of Accounting and Information Systems, Michigan State University.
Rethinking paths and trajectories: Coherence, conformance and the dynamics of action nets. Action nets provide a fresh perspective on a perennial problem in organizational and institutional theory: sometimes technology triggers change and sometimes it reinforces inertia. Unlike conventional units of analysis, action nets describe institutionalized patterns of action. Action nets are processual phenomena that have non-linear dynamics, so they are inherently susceptible to a range of dynamics, from lock-in to transformational change. We theorize about the dynamics of action nets from the ground up, from the “coalface” of practice. In practice, action nets are shaped by conformance and coherence. Conformance is institutional (rules); coherence is material (playing field). Using this framework, we present a new, more dynamic, understanding of organizational path dependence and pathways of institutional change.
Nabila Boukef, Associate Professor in IS and Digital Transformation, SKEMA Business School (France).
The impact of negative ties on team creativity in dispersed teams: the role of team commitment asymmetry and presence awareness. While previous Information Systems (IS) research has highlighted coordination problems related to dispersed teams with geographically defined subgroups (DTGSs), little is known about the impact that negative relationships may have on team outcomes. Since such team configurations now prevail in R&D and innovation projects, there is a greater need to examine the impact that negative relationships between distant subgroups have on team creativity. We draw on social ledger theory and the awareness lens to propose a theoretical model that examines the mechanism through which negative ties between distant team members impact team creativity. To test our model, we used data collected from 58 self-managing dispersed teams with distant subgroups. Most of our hypotheses were supported. Our contribution to the IS literature is threefold. First, we introduce the concept of distant negative ties in order to take into consideration the location of negative relationships. Second, we show that team commitment asymmetry is the mechanism through which distant negative ties impede team creativity. Third, we show the extent to which reducing team virtuality diminishes the damaging effect of distant negative relationships on team creativity.
Activité conjointe GReSI / Tech3Lab
Xinyu Fu, candidate au doctorat en systèmes d’information et gestion de la technologie, Katz Graduate School of Business, Univ. of Pittsburgh. Étudiante invitée du Tech3Lab.
Detecting Algorithmic Errors: Integrating Imperfect Machines and Complacent Humans for Managing Online Discussions. Organizations are deploying artificial intelligence (AI) bots to reduce human workloads, especially for tasks with high economic and psychological costs. These algorithms, however, are imperfect, and not likely to be perfect anytime soon. In this study, we explored how organizations could involve end-users to detect errors made by bots. Drawing insights from the literatures of error management and automation bias, we propose that error anticipation, a well-established concept in the literature for error detection between humans, can trigger users to identify and report algorithmic errors. Specifically, through designs that leveraged information specificity (the content to trigger error anticipation) and active discovery (the way to deliver the content), we compared four approaches for triggering error anticipation, relative to a no-bot control condition. In a series of experiments, we simulated an online news discussion forum where users worked on content moderation along with a bot. We found that, on average, users aided by the bot achieved higher levels of moderation-decision quality than users unaided by the bot. Information specificity helped individuals better detect the bot’s errors and achieve higher performance with less effort than others, but only if users actively discovered the limitations of the bot. By exploring the underlying mechanism, we found that users who actively discovered the bots’ limitations perceived a higher level of responsibility to monitor the bots’ performance, but remained willing to delegate the moderation work to the bot. Overall, these results suggest that designs that trigger error anticipation help users become more vigilant about the actions of imperfect bots. A human-AI hybrid design works better when providing users with specific, rather than conceptual, examples of bots’ imperfections. Such an approach, however, is effective only when users are facilitated to proactively discover such imperfections. Based on these results, we discuss the theoretical and practical implications of deploying human-bot hybrid designs on digital platforms.
Lionel Lopez, Directeur des données, Banque Nationale du Canada.
In the head of a Chief Data Officer? Lors de sa présentation, M. Lopez a parlé de son rôle en tant que directeur des données et des responsabilités qui y sont associées. Il a présenté les défis auxquels il a dû faire face au moment d’exploiter des données autant au niveau tactique que stratégique et comment la technologie se positionne dans tout ça. Finalement, M. Lopez a partagé sa vision sur le futur des données au sein d’une organisation.
Malmi Amadoru, stagiaire postdoctorale, Dép. de TI (HEC Montréal). Malmi est diplômée du Queensland Univ. of Technology, Australie).
Computationally Intensive Theory Construction. Computational methods are changing the way we construct theory. We are observing an increasing trend of leveraging computational methods (e.g., machine learning, sequence analysis) for the explicit purpose of constructing theory by combining them with manual approaches (e.g., qualitative approaches). Computational tools allow researchers to identify patterns in a variety of data and at a scale to study phenomena related to information systems. However, there is still limited understanding and guidance on this emerging approach to research, known as computationally intensive theory construction in the IS discipline. In line with MISQ’s recent editorial on ‘Computationally Intensive Theory Construction: A Primer for Authors and Reviewers’ (MIS Quarterly Vol. 46 Issue. 2 / June 2022), this workshop is designed to help researchers utilize computational methods to construct theory in their own studies of IS phenomena. This workshop provides an overview of computationally intensive theory construction and demonstrates its potential through a walk-through of a study on how social bots set the IT innovation agenda through social media discourse