Publications Database

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.

 

Search Results

Daniel Belanche, Russell W. Belk, Luis V. Casaló and Carlos Flavián (2023). "The Dark Side of Artificial Intelligence in Services", Service Industries Journal, 44(3–4), 149–172.

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Keywords
Abstract Artificial intelligence (AI) initiatives, including Generative AI, are being increasingly implemented in service industries, and are having a great impact on service operations and on customers’ reactions and behaviors. Previous literature is overoptimistic about AI implementation, and there is still a need to explore the dark side of this technology; that is, its potential negative impacts on consumers, businesses, and society, as well as the moral concerns associated with AI use in services. To establish some fundamental insights related to this research domain, this paper contributes to previous AI based-services literature by proposing a three-part conceptual model inspired by Belanche et al. (2020a), comprised of AI design, customers, and the service encounter. Specifically, we identify key factors and research gaps within each category that need to be addressed. The final research questions provide a research agenda to guide scholars and help practitioners implement AI-based services while avoiding their potential negative outcomes.

Botti, S., Giesler, M., Stefano, P. and Walker, R. (2020). "Consumers and Artificial Intelligence: An Experiential Perspective", Journal of Marketing.

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Keywords
Abstract Artificial 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.

Deibert, R., Flyverbom, M. and Matten, D. (2019). "Governance of Digital Technologies, Big Data, and the Internet: New Roles and Responsibilities for Business", Business & Society, 58(1), 3-19.

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Keywords
Abstract The importance of digital technologies for social and economic developments and a growing focus on data collection and privacy concerns have made the Internet a salient and visible issue in global politics. Recent developments have increased the awareness that the current approach of governments and business to the governance of the Internet and the adjacent technological spaces raises a host of ethical issues. The significance and challenges of the digital age have been further accentuated by a string of highly exposed cases of surveillance and a growing concern about issues of privacy and the power of this new industry. This special issue explores what some have referred to as the “Internet-industrial complex”—the intersections between business, states, and other actors in the shaping, development, and governance of the Internet.

Tan, J. and Tan, A. (2012). "Business Under Threat, Technology Under Attack, Ethics Under Fire: Google’s Experience in China", Journal of Business Ethics, 110, 469-479.

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Keywords
Abstract Although not frequently regarded as controversial, digital communications industries continue to be sites of CSR conflicts, particularly internationally. Investigating CSR issues in the digital communications industry is pertinent because in addition to being one of the fastest growing industries, it has created a host of new CSR issues that require further attention. This case study examines an incident in early 2010, when Google Inc. China and the Chinese government reached an impasse that produced a large-scale, transnational conflict that reached a head ostensibly over state-mandated censorship, ultimately prompting Google to withdraw from the mainland Chinese market and redirect its activities to Hong Kong. We track Google’s experience in China, both to explore its strategies and to consider the implications for corporate social responsibility. We situate Google’s drastic decision to withdraw entirely from mainland China in the complex multiplicity of ethical, cultural, and political conflicts that affect this particular case. On a broader level, the incident raises the question of how multinational corporations (MNCs) can achieve corporate growth while negotiating the highly sensitive sociopolitical and institutional environments of foreign nations.