Vendredi 27 mai, de 12h00 à 13h00, salle à venir

  • Présentation hybride de Théophile Demazure, Candidat au doctorat, Dép. des technologies de l’information.

Détails à venir.

Présentation hybride de Bogdan Negoita & Gregory Vial, Membres du GReSI et Professeurs agrégés, Dép. des technologies de l’information.

Codebase Forking and Open-Source Software Development Project Sustainability: Evidence from GitHub. At a time when organizations increasingly depend on open-source software to enable and to support their operations, the software development projects that provide their information technology (IT) solutions are developed and maintained by communities of heterogeneous developers, with fluid memberships. Given these conditions, the sustainability of software development projects is a particularly important business issue. Building on the idea of forking as “an individual developer’s behavior of copying an existing project’s code base” to start a new, independent software development project, we ask the question: How does forking impact the sustainability of software development projects? Informed by a literature review of relevant extant literature, we develop a variance-based model that explains how different types of software development forks help enable software development project that exhibit source code use, as well as software development and maintenance activity over the long run. To test our deductively generated research model, we propose and detail an empirical approach based on the collection and analysis of longitudinal digital trace data originating from software development projects hosted on GitHub. Our expected findings relate 1) to conceptualizing the multiple types of forking exhibited during the software development process; 2) to explaining the implications of different types of forking for software development project sustainability; 3) to developing a set of best practices in relation to the use of GitHub-sourced digital trace data.

Présentation hybride de Ulrich Gnewuch, Chercheur postdoctoral, Institute of Information Systems and Marketing, Karlsruhe Institute of Technology (Allemagne). Il est présentement « chercheur invité » du Tech3Lab (HEC Montréal), hiver / printemps 2022.

More than a Bot? The Impact of Disclosing Human Involvement on Customer Interactions with Hybrid Service Agents. The proliferation of hybrid service agents—combinations of artificial intelligence (AI) and human employees behind a single interface—further blurs the line between humans and machines in online service encounters. While much of the current debate focuses on disclosing the non-human identity of AI-based technologies (e.g., chatbots), the question of whether or not to disclose the involvement of human employees working behind the scenes has received little attention. We address this gap by examining the impact of human involvement disclosure on customer interactions with a hybrid service agent consisting of an AI-based chatbot and human employees. Results from a randomized field experiment and a controlled online experiment show that disclosing human involvement influences how customers communicate with the hybrid service agent in such a way that they exhibit a more-human oriented communication style when a disclosure is made before or during the interaction. This effect is driven by impression management concerns that are activated when customers become aware of humans working in tandem with the chatbot. Furthermore, it leads to an increase in the workload of employees because fewer customer requests can be handled automatically by the chatbot and therefore are delegated to a human. These findings provide novel insights into how and why disclosing human involvement impacts customer communication behavior, shed light on its negative consequences for employees who work in tandem with a chatbot, and help managers understand the potential costs and benefits of providing transparency in customer–hybrid service agent interactions.

Présentation hybride de Pierre-Majorique Léger, Membre du GReSI, Codirecteur du Tech3Lab et Professeur titulaire, Dép. des technologies de l’information, & Sylvain Sénécal, Codirecteur du Tech3Lab et Professeur titulaire, Dép. de marketing.

La nécessité est la mère de l’invention : Mesurer à distance les réactions psychophysiologiques des utilisateurs en interaction avec une technologie. Comme tous les autres laboratoires d’expérience utilisateur (UX), le Tech3Lab de HEC Montréal a dû suspendre ses activités de recherche en présence de sujets humains au début de la pandémie. Toute l’équipe scientifique et professionnelle du Tech3Lab s’est lancée dans un effort colossal pour transférer en ligne les activités de collecte de données. La nécessité étant mère de l’invention, l’équipe du Tech3lab a développé un nouvel écosystème technologique appelé COBALT, permettant de mesurer précisément et de manière très riche les réactions psychophysiologiques des utilisateurs en interaction avec un artefact numérique et ce, à distance. Dans cette conférence, Pierre-Majorique Léger et Sylvain Sénécal reviennent sur les défis que leur équipe ont relevés durant la pandémie. Ils discuteront également des opportunités de recherche offertes par ce nouvel écosystème méthodologique en présentant des exemples de projets de recherche en cours au Tech3Lab.

Présentation hybride de Camille Grange, Membre du GReSI et Professeure agrégée*, & Félix Joly, Étudiant à la M. Sc.* (*Dép. des technologies de l’information). Note : La présentation s’est déroulée en français, mais les « diapos » étaient en anglais.

Societal acceptance of mobile contact tracing applications: the moderating effect of construal level.  When used by a majority of people, Contact Tracing Applications (CTAs) can be a most effective way to control the exponential spread of a virus within a population. However, the evidence offered from the deployment of several CTAs across the world during the COVID-19 pandemic indicates that adoption rates have remained low. The present study aims to extend the literature on the societal acceptance of these technologies by building on the lens of Construal Level Theory (CLT). We focus on the moderating role of people’s construal level on the relationship between two key factors: people’s privacy concerns (emerging from the use of CTAs) and their perceived societal utility of using a CTA – and the societal acceptance of these technologies. We are hoping that the results of this research will extend the emerging literature that uses CLT in the context of studying IT adoption in general, and that they will help provide specific recommendations to public health institutions about which design practices can be used to more effectively promote societal, mass acceptance of CTAs.

Présentation hybride de Stefan Tams, Directeur du GReSI et Professeur agrégé, Dép. des technologies de l’information.

Cognitive Aging and the Struggle of Older Workers with Post-adoptive IT Use (Cet article fait présentement l’objet d’une décision de resoumission pour publication). Older workers use organizational IT in qualitatively different ways than their younger counterparts. In particular, they often focus on a few core features of an IT instead of exploiting the full range of features. This behavior is indicative of the significant reduction in post-adoptive IT use that occurs as the workforce ages. However, since the causes of this reduction remain unclear, managers and systems designers have difficulty addressing the problem of the underuse of technologies by the aging workforce. By means of a serial mediation model, this article argues that the reduction in post-adoptive IT use among older workers is caused by the decline of fluid intelligence that occurs with aging and by the impact of this decline on the ability of users to learn about new features and to adapt to them. To test the model, data were collected from younger and older users of Microsoft Excel. The results supported the model and indicated some important ways that managers and systems designers can help older workers use more features of workplace IT despite the decline in their fluid intelligence.