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Personne :
Corbett, Jacqueline

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Corbett

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Jacqueline

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Université Laval. Département de systèmes d'information organisationnels

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ncf11897096

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  • PublicationAccès libre
    Leveraging the Internet of things and open data to support clean energy in the greenhouse sector : preliminary summary of research findings february 2020
    (Université Laval, 2021-03-23T18:33:51Z) Corbett, Jacqueline; Lakshmi, Vijaya
    The current study, the first within a five-year program of research, focuses on understanding the energy needs of greenhouses, their energy management motivations, energy management practices, and the challenges and opportunities for sustainable energy. From June to October 2020, we interviewed nine people involved in the Canadian greenhouse industry. While we continue to collect data, this report provides a summary of key findings to date. The study explores energy management across diverse greenhouse sectors - vegetables, fruits, and flowers – in two Canadian provinces (Alberta and Ontario). We summarize the main findings below.
  • PublicationAccès libre
    Understanding employees' responses to artificial intelligence
    (American Management Association, 2020-08-17) Corbett, Jacqueline; Yu-Quian, Zhu; Yi-Te, Chiu
    In recent years, artificial intelligence (AI) has moved from buzzword to rapid adoption across the globe. Nearly half of the respondents in a 2018 McKinsey survey of global firms said their organizations have embedded at least one application of AI into their standard business processes, while another 30% report piloting the use of AI (Selected bibliography 1). The advancing capabilities of AI are driving business transformation at multiple levels, from tasks and occupations to operational processes and business models. Leveraging AI has become a necessity for organizations hoping to elevate their performance and create a competitive advantage. The rapid rollout of AI applications is creating new stress for employees and how they respond – whether employees lead or flee – will influence the success of AI implementation projects. Before discussing the different AI profiles and how these translate into actions, we present a brief introduction to the technology.
  • PublicationAccès libre
    Knowledge creation in open data hackathons : summary of findings from Canada and Brazil
    (Université Laval, 2021-02-01) Corbett, Jacqueline; Matos, Urbano
  • PublicationAccès libre
    From tweets to insights : a social media analysis of the emotion discourse of sustainable energy in the United States
    (Elsevier, 2022-02-08) Corbett, Jacqueline; Savarimuthu, Bastin Tony Roy
    Social acceptance is essential to effective sustainable energy policy implementation. Social media offer new platforms to support policy work and, by allowing emotional expressions, help to create an emotion discourse. Emotions and the discourse around them impact social acceptance by influencing organizational legitimacy, supporting and disrupting institutions, and energizing policy actors. This research investigates how social media analytics (SMA) can be used to decode the emotion discourse on sustainable energy to fulfill diverse informational goals of policy actors. Applying SMA to 6528 Twitter messages for 27 U.S. electricity utilities over five months, we demonstrate how to measure and compare the emotion discourse of utilities over time. Using a variety of SMA techniques, we find the emotion discourse around sustainable energy varies across utilities in terms of both magnitude and polarity and we uncover four clusters of utilities having similar patterns of emotion discourse. We further identify three anomalous emotional events. SMA also reveal that joy and sadness are, respectively, the most common positive and negative emotions expressed. Finally, we use SMA to reveal how different actors contribute to the emotion discourse: utility followers are predominately responsible for negative affect in the emotion discourse. This work serves as a proof-of-concept showing how SMA can complement other techniques for gauging social acceptance, informing policy, managing sustainable energy programs, and developing effective communication strategies.
  • PublicationAccès libre
    Artificial intelligence for sustainability : challenges, opportunities, and a research agenda
    (Butterworths, 2020-04-20) Nishant, Rohit; Corbett, Jacqueline; Kennedy, Mike
    Artificial intelligence (AI) will transform business practices and industries and has the potential to address major societal problems, including sustainability. Degradation of the natural environment and the climate crisis are exceedingly complex phenomena requiring the most advanced and innovative solutions. Aiming to spur groundbreaking research and practical solutions of AI for environmental sustainability, we argue that artificial intelligence (AI) can support the derivation of culturally appropriate organizational processes and individual practices to reduce the natural resource and energy intensity of human activities. The true value of AI will not be in how it enables society to reduce its energy, water, and land use intensities, but rather, at a higher level, how it facilitates and fosters environmental governance. A comprehensive review of the literature indicates that research regarding AI for sustainability is challenged by (1) overreliance on historical data in machine learning models, (2) uncertain human behavioral responses to AI-based interventions, (3) increased cybersecurity risks, (4) adverse impacts of AI applications, and (5) difficulties in measuring effects of intervention strategies. The review indicates that future studies of AI for sustainability should use (1) multilevel views, (2) systems dynamics approaches, (3) design thinking, (4) psychological and sociological considerations, and (5) economic value considerations to show how AI can deliver immediate solutions without introducing long-term threats to environmental sustainability.
  • PublicationRestreint
    Digital twins can enable smart, agile, sustainable cities
    (Cutter Information, 2021-03-01) Corbett, Jacqueline; Hajji, Adnène; Mellouli, Sehl