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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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Voici les éléments 1 - 10 sur 19
  • 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
    Designing and using carbon management systems to promote ecologically responsible behaviours
    (Association for Information Systems, 2013-07-01) Corbett, Jacqueline
    With the hope of mitigating the harmful impacts of climate change, many organizations are taking actions to reduce their carbon footprints. Carbon-reducing initiatives in organizations are varied: they range from green product innovations to encouraging behavioral changes by customers and employees. Green IS can play an important role in environmental sustainability by supporting a number of these strategies. Drawing on theories of persuasive systems design, this paper explores how one category of Green IS, carbon management systems (CMS), can be designed and used in order to persuade employees to perform ecologically responsible behaviors. The results from three organizational case studies suggest that CMS can be effective at changing employees’ environmental behaviors, demonstrate the extent to which persuasive system design principles (including an emergent category of Integration) are reflected in CMS, and highlight the importance of understanding the persuasion context. The findings of the study are used to inform the development of four propositions, which can serve as a foundation for further research in the Green IS domain.
  • 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
    Green IS research : a modernity perspective
    (Association for Information Systems, 2016-05-01) Corbett, Jacqueline; El Idrissi, Sarah Cherki
    Over the past two decades, the Information Systems community has become engaged in improving the environmental effects of information systems and technologies, giving rise to the new sub-field of Green IS. Despite increasing interest, some have suggested that progress toward meaningful solutions for sustainability has been too slow. Responding to these concerns, this paper examines the development of Green IS research using the modernity perspective in order to understand its evolution and to present alternative perspectives to motivate future research. From a sample of over 80 Green IS articles published over a 15 year period, we identify four main patterns of modernity that are manifest in Green IS research. These patterns include the importance of the Individual in solving environmental problems, science as the main source of solutions and the emergence of an artificial science approach, reliance on technology, and growth as ultimate goal of business. Further, our analysis reveals that Green IS research is starting to demonstrate elements of a hyper-modern perspective that emphasizes reflexivity. We argue that future Green IS research should continue on this path and propose a conceptual framework inspired by hyper-modernity and centered on reflexivity that could serve as a guide for future research.
  • PublicationAccès libre
    “Insights into Customer Adoption” in: Innovation in the Electricity Industry : Focus on Distributed Renewable Electricity Generation
    (Faculté des sciences de l'administration, Université Laval, 2019-10-01) Corbett, Jacqueline; Wu, Rong
  • PublicationAccès libre
    “Exploring the Changing Utility-Customer Relationship” in: Innovation in the Electricity Industry: Focus on Distributed Renewable Electricity Generation
    (Faculté des sciences de l'administration, Université Laval, 2018-06-01) Corbett, Jacqueline; Wu, Rong
  • 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
    Using AI to improve sustainable agricultural practices : a literature review and research agenda
    (Association for computing machinery, 2023-06-02) Lakshmi, Vijaya; Corbett, Jacqueline
    The world is confronted with the grand challenge of food insecurity amidst growing populations and the climate crisis. Artificial intelligence (AI) deployed in agricultural decision support systems (AgriDSS) raises both hopes and concerns for increasing agricultural productivity in sustainable ways. We conduct a scoping review to uncover the roadblocks to the use of AI-supported AgriDSS in sustainable agriculture. Based on the corpus of 121 articles, we find that the effective use of AI-supported AgriDSS is hindered at technical, social, ethical, and ecological levels. Then, drawing on the experiential learning perspective, we propose how conjoint experiential learning (CEL) can enhance sustainable agricultural practices by enhancing both AI and human learning and overcoming roadblocks in using AgriDSS. Based on this conceptual framework, we build a research agenda that suggests blind spots and possible directions for future research.
  • PublicationAccès libre
    Environmental entrepreneurship and interorganizational arrangements : a model of social-benefit market creation
    (John Wiley & Sons Ltd, 2017-02-17) Corbett, Jacqueline; Montgomery, A. Wren
    Research summary: Social-benefit markets, such as those for carbon trading, are becoming increasingly popular for combating complex social and environmental problems. However, their unique characteristics pose substantial challenges to market creation and require novel entrepreneurial approaches. Integrating the entrepreneurship literature with that of management information systems, we conceptualize social-benefit markets as a new type of interorganizational arrangement and develop a model of social-benefit market creation. First, we argue that a core entrepreneurial collective, comprising a plurality of actors from government, business, and social movements, is essential. Second, we elaborate a six-phase process through which the interests of entrepreneurs are aligned and inscribed in a market artifact and the market is formed. The model is illustrated with reference to the Western Climate Initiative’s carbon market creation efforts. Managerial summary: Carbon markets have become a popular strategy for reducing greenhouse gas emissions, with similar market-based solutions being proposed for other social and environmental challenges. We refer to these new structures as socialbenefit markets. Social-benefit market creation is a complex undertaking that will require novel entrepreneurial approaches and new interorganizational information systems. In an effort to reduce some of this complexity, we propose a model to explain how entrepreneurs from government, business, and social movements must work collectively to build social-benefit markets. We further elaborate a six-phase process through which entrepreneurs are able to align their diverse interests and create a stable market artifact. For managers from all sectors, our work offers actionable guidance for forming collective ventures that deliver real social benefits.