Welcome to the new Schulich Peer-Reviewed Publication Database!
The database is currently in beta-testing and will be updated with more features as time goes on. In the meantime, stakeholders are free to explore our faculty’s numerous works. The left-hand panel affords the ability to search by the following:
- Faculty Member’s Name;
- Area of Expertise;
- Whether the Publication is Open-Access (free for public download);
- Journal Name; and
- Date Range.
At present, the database covers publications from 2012 to 2020, but will extend further back in the future. In addition to listing publications, the database includes two types of impact metrics: Altmetrics and Plum. The database will be updated annually with most recent publications from our faculty.
If you have any questions or input, please don’t hesitate to get in touch.
Belk, R. (Forthcoming). "Ethical Issues in Service Robotics and Artificial Intelligence", Services Industries Journal.
AbstractAs we come to increasingly rely on robotic and Artificial Intelligence technologies, there are a growing number of ethical concerns to be considered by both service providers and consumers. This review concentrates on five such issues: (1) ubiquitous surveillance, (2) social engineering, (3) military robots, (4) sex robots, and (5) transhumanism. With the partial exception of transhumanism, all of these areas of AI and robotic service interaction already present ethical issues in practice. But all five areas will raise additional concerns in the future as these technologies develop further. These issues have serious consequences and it is imperative to research and address them now. I outline the relevant literatures that can guide this research. The paper fills a gap in recent work on AI and robotics in services. It expands views of service contexts involving robotics and AI, with important implications for public policy and applications of service technologies.
Lévesque, M., Obschonka, M. and S. Nambisan (2022). "Pursuing Impactful Entrepreneurship Research Using Artificial Intelligence", Entrepreneurship Theory and Practice, 46(4).
AbstractIt is time for the entrepreneurship field to come to terms with leading-edge artificial intelligence (AI). AI holds great promise to transform entrepreneurship into a more relevant and impactful field, but it must overcome conflicts between the AI-driven research approach and that of the traditional, theory-based research process. We explore these opportunities and challenges and suggest concrete approaches that entrepreneurship researchers can use to harness the power of AI with rigor and enhance research relevance. We conclude that incorporating the power of AI in entrepreneurship research and managing the associated risks offer a new and “grand challenge” for the field.
Darmody, A. and Zwick, D. (2020). "Manipulate to Empower: Hyper-Relevance and the Contradictions of Marketing in the Age of Surveillance Capitalism", Big Data & Society, 7(1).
AbstractIn this article, we explore how digital marketers think about marketing in the age of Big Data surveillance, automatic computational analyses, and algorithmic shaping of choice contexts. Our starting point is a contradiction at the heart of digital marketing namely that digital marketing brings about unprecedented levels of consumer empowerment and autonomy and total control over and manipulation of consumer decision-making. We argue that this contradiction of digital marketing is resolved via the notion of relevance, which represents what Fredric Jameson calls a symbolic act. The notion of the symbolic act lets us see the centering of relevance as a creative act of digital marketers who undertake to symbolically resolve a contradiction that cannot otherwise be resolved. Specifically, we suggest that relevance allows marketers to believe that in the age of surveillance capitalism, the manipulation of choice contexts and decision-making is the same as consumer empowerment. Put differently, relevance is the moment when marketing manipulation disappears and all that is left is the empowered consumer. To create relevant manipulations that are experienced as empowering by the consumer requires always-on surveillance, massive analyses of consumer data and hyper-targeted responses, in short, a persistent marketing presence. The vision of digital marketing is therefore a fascinating one: marketing disappears at precisely the moment when it extends throughout the life without limit.
Babier, A., Chan, T., Diamant, A., Mahmood, R. and McNiven, A. (2020). "Knowledge-Based Automated Planning with 3-D Generative Adversarial Neural Networks", Medical Physics Journal , 47(2), 297-306.
Botti, S., Giesler, M., Stefano, P. and Walker, R. (2020). "Consumers and Artificial Intelligence: An Experiential Perspective", Journal of Marketing.
AbstractArtificial intelligence (AI) helps companies offer important benefits to consumers, such as health monitoring with wearable devices, advice with recommender systems, peace of mind with smart household products, and convenience with voice-activated virtual assistants. However, although AI can be seen as a neutral tool to be evaluated on efficiency and accuracy, this approach does not consider the social and individual challenges that can occur when AI is deployed. This research aims to bridge these two perspectives: on one side, the authors acknowledge the value that embedding AI technology into products and services can provide to consumers. On the other side, the authors build on and integrate sociological and psychological scholarship to examine some of the costs consumers experience in their interactions with AI. In doing so, the authors identify four types of consumer experiences with AI: (1) data capture, (2) classification, (3) delegation, and (4) social. This approach allows the authors to discuss policy and managerial avenues to address the ways in which consumers may fail to experience value in organizations’ investments into AI and to lay out an agenda for future research.
Belk, R., Humayun, M. and Gopaldis, A. (2020). "Artificial Life", Journal of Macromarketing, 40(2), 221-236.
AbstractIn this article, we explore how the history and myths about Artificial Life (AL) inform the pursuit and reception of contemporary AL technologies. First, we show that long before the contemporary fields of robotics and genomics, ancient civilizations attempted to create AL in the magical and religious pursuits of automata and alchemy. Next, we explore four persistent cultural myths surrounding AL—namely, those of Pygmalion, Golem, Frankenstein, and Metropolis. These myths offer several insights into why humanity is both fascinated with and fearful of AL. Thereafter, we distinguish contemporary approaches to AL, including biochemical or “wet” approaches (e.g., artificial organs), electromechanical or “hard” approaches (e.g., robot companions), and software-based or “soft” approaches (e.g., digital voice assistants). We also outline an emerging approach to AL that combines all three of the preceding approaches in pursuit of “transhumanism.” We then map out how the four historical myths surrounding AL shape modern society’s reception of the four contemporary AL pursuits. Doing so reveals the enduring human fears that must be addressed through careful development of ethical guidelines for public policy that ensure human safety, dignity, and morality. We end with two sets of questions for future research: one supportive of AL and one more skeptical and cautious.
Belk, R., Jordan, W., Ortner, M. and Schweitzer, F. (2019). "Servant, Friend, or Master? The Relationships Users Build with Voice Controlled Smart Devices", Journal of Marketing Management, 35 (7/8), 693-715.
AbstractThis paper investigates the different relationships consumers build with anthropomorphised devices and how these relationships affect actual and intended future usage. An exploratory, three-week empirical study of 39 informants using voice controls on their smartphone uncovered a diversity of relationships that the informants built with such devices. We complement anthropomorphism theory by drawing on extended-self theorising to identify three primary roles that emerge from consumers’ interactions with these devices. Our findings theorise the distinct ways in which consumers perceive the object agency of anthropomorphised smart devices and how these perceptions impact the consumers’ engagement and future use intentions.
Lévesque, M. and N. Joglekar (2018). "Guest Editorial: Resource, Routine, Reputation or Regulation Shortages: Can Data- and Analytics-driven Capabilities Inform Tech Entrepreneur Decisions?", IEEE Transactions on Engineering Management, 65(4), 537-544.
AbstractThe five papers in this special section explore the use of data analytics in current business and management decision making. Entrepreneurial ingenuity plays a crucial role in building new business enterprises, especially when resources are lacking, routines are nonexistent, a firm’s reputation is not established, and/or regulations are inadequate. Resources in the form of human capital are often the foundation of independent startups or new corporate business ventures. Routines in the form of organizational and technical processes are often key in building these new ventures. Reputation in terms of an entrepreneur’s accomplishments or network is essential for acquiring needed resources and developing fundamental routines to initiate, commit to, organize, and grow the startup. Examines the impacts of such shortages create threats or opportunities for independent startups and new business ventures spun off from established firms.
Belk, R. (2016). "Comprendre le Robot: Commentaires sur Goudey et Bonnin (“Understanding the Robot: Comments on Goudey and Bonnin”)", Recherche et Applications en Marketing, 31(4), 89-97.