Responsible Urban Innovation with Local Government Artificial Intelligence (AI): A Conceptual Framework and Research Agenda

The urbanization problems we face may be alleviated using innovative digital technology. However, employing these technologies entails the risk of creating new urban problems and/or intensifying the old ones instead of alleviating them. Hence, in a world with immense technological opportunities and at the same time enormous urbanization challenges, it is critical to adopt the principles of responsible urban innovation. These principles assure the delivery of the desired urban outcomes and futures. We contribute to the existing responsible urban innovation discourse by focusing on local government artificial intelligence (AI) systems, providing a literature and practice overview, and a conceptual framework. In this perspective paper, we advocate for the need for balancing the costs, benefits, risks and impacts of developing, adopting, deploying and managing local government AI systems in order to achieve responsible urban innovation. The statements made in this perspective paper are based on a thorough review of the literature, research, developments, trends and applications carefully selected and analyzed by an expert team of investigators. This study provides new insights, develops a conceptual framework and identifies prospective research questions by placing local government AI systems under the microscope through the lens of responsible urban innovation. The presented overview and framework, along with the identified issues and research agenda, offer scholars prospective lines of research and development; where the outcomes of these future studies will help urban policymakers, managers and planners to better understand the crucial role played by local government AI systems in ensuring the achievement of responsible outcomes.

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Determinants of Innovation Cooperation Performance: What Do We Know and What Should We Know?

Sustainability ◽

10.3390/su10124517 ◽

2018 ◽

Vol 10 (12) ◽

pp. 4517 ◽

Cited By ~ 6

Author(s):

Piotr Trąpczyński ◽

Łukasz Puślecki ◽

Michał Staszków

Keyword(s):

Conceptual Framework ◽

Open Innovation ◽

Research Agenda ◽

Levels Of Analysis ◽

Widespread Phenomenon ◽

Research Questions ◽

Innovation Cooperation ◽

Present Understanding

The involvement of firms in innovation cooperation with different partners has become a widespread phenomenon in the contemporary business landscape. Our paper provides a review of extant alliance, innovation, open innovation and inter-firm collaboration literature and organizes it based on a conceptual framework featuring three levels of analysis: (a) the dyadic level, (b) the network level, and (c) the location level. The article identifies roadmaps in each of these areas and also highlights existing gaps in the present understanding of innovation cooperation. Thereby, it outlines a research agenda by identifying key research questions and issues in the areas where further research is needed and encouraged.

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The Rise of Deepfakes: A Conceptual Framework and Research Agenda for Marketing

Australasian Marketing Journal ◽

10.1177/1839334921999479 ◽

2021 ◽

pp. 183933492199947

Author(s):

Lucas Whittaker ◽

Kate Letheren ◽

Rory Mulcahy

Keyword(s):

Artificial Intelligence ◽

Machine Learning ◽

Conceptual Framework ◽

Research Agenda ◽

Theory And Practice ◽

Digital Content ◽

Future Research ◽

Marketing Theory ◽

Artificial Intelligence Technology ◽

The Media

Deepfakes, digital content created via machine learning, a form of artificial intelligence technology, are generating interest among marketers and the general population alike and are often portrayed as a “phantom menace” in the media. Despite relevance to marketing theory and practice, deepfakes—and the opportunities for benefit or deviance they provide—are little understood or discussed. This article introduces deepfakes to the marketing literature and proposes a typology, conceptual framework, and associated research agenda, underpinned by theorizing based on balanced centricity, to guide the future investigation of deepfakes in marketing scholarship. The article makes an argument for balance (i.e., situations where all stakeholders benefit), and it is hoped that this article may provide a foundation for future research and application of deepfakes as “a new hope” for marketing.

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Artificial Intelligence and Business Value: a Literature Review

Information Systems Frontiers ◽

10.1007/s10796-021-10186-w ◽

2021 ◽

Author(s):

Ida Merete Enholm ◽

Emmanouil Papagiannidis ◽

Patrick Mikalef ◽

John Krogstie

Keyword(s):

Artificial Intelligence ◽

Literature Review ◽

Research Agenda ◽

Business Value ◽

Strong Increase ◽

Order Effects ◽

Organizational Setting ◽

Future Studies ◽

The Past ◽

Holistic Understanding

AbstractArtificial Intelligence (AI) are a wide-ranging set of technologies that promise several advantages for organizations in terms off added business value. Over the past few years, organizations are increasingly turning to AI in order to gain business value following a deluge of data and a strong increase in computational capacity. Nevertheless, organizations are still struggling to adopt and leverage AI in their operations. The lack of a coherent understanding of how AI technologies create business value, and what type of business value is expected, therefore necessitates a holistic understanding. This study provides a systematic literature review that attempts to explain how organizations can leverage AI technologies in their operations and elucidate the value-generating mechanisms. Our analysis synthesizes the current literature and highlights: (1) the key enablers and inhibitors of AI adoption and use; (2) the typologies of AI use in the organizational setting; and (3) the first- and second-order effects of AI. The paper concludes with an identification of the gaps in the literature and develops a research agenda that identifies areas that need to be addressed by future studies.

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Psychic distance revisited: A proposed conceptual framework and research agenda

Journal of Management & Organization ◽

10.1017/s1833367200001747 ◽

2011 ◽

Vol 17 (1) ◽

pp. 123-143 ◽

Cited By ~ 8

Author(s):

Max Smith ◽

Peter J Dowling ◽

Elizabeth L Rose

Keyword(s):

Conceptual Framework ◽

International Business ◽

Research Agenda ◽

Psychic Distance ◽

Theoretical Frameworks ◽

Individual Level ◽

Revised Definitions ◽

Definition Of ◽

Made In ◽

Academic Study

AbstractThe concept of psychic distance has had a long but problematic history in the academic study of international business. Although inherently appealing, attempts to empirically validate the theoretical frameworks proposed by early psychic distance scholars have provided mixed results. This has led a number of academics to question the usefulness of the concept. Theoretical advances have been made in recent times with the introduction of revised definitions, but there is still the need for a conceptual framework of psychic distance that unambiguously identifies the determinants of psychic distance and demonstrates the relevance of this concept at the national, firm, and individual level. The present paper proposes a revised definition of psychic distance and posits a conceptual framework of psychic distance that addresses these needs. It then concludes by putting forward a research agenda arising as a consequence of the new conceptual framework.

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Psychic distance revisited: A proposed conceptual framework and research agenda

Journal of Management & Organization ◽

10.5172/jmo.2011.17.1.123 ◽

2011 ◽

Vol 17 (1) ◽

pp. 123-143 ◽

Cited By ~ 4

Author(s):

Max Smith ◽

Peter J Dowling ◽

Elizabeth L Rose

Keyword(s):

Conceptual Framework ◽

International Business ◽

Research Agenda ◽

Psychic Distance ◽

Theoretical Frameworks ◽

Individual Level ◽

Revised Definitions ◽

Definition Of ◽

Made In ◽

Academic Study

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One-Voice Strategy for Customer Engagement

Journal of Service Research ◽

10.1177/1094670520910267 ◽

2020 ◽

pp. 109467052091026 ◽

Cited By ~ 1

Author(s):

Jagdip Singh ◽

Satish Nambisan ◽

R. Gary Bridge ◽

Jürgen Kai-Uwe Brock

Keyword(s):

Artificial Intelligence ◽

Conceptual Framework ◽

Interaction Space ◽

Customer Engagement ◽

Service Firms ◽

Firm Capabilities ◽

Research And Practice ◽

Machine Age ◽

Research Questions ◽

Core Capabilities

Machine-age technologies, including automation, robotics, and artificial intelligence, are profoundly expanding the variety of service interfaces and therefore the possible ways that customers and firms can interact across customer journeys. This expansion challenges service firms’ capabilities to deliver coherent streams of interactions for effective customer engagement. This article develops a conceptual framework of firm capabilities that enable firms to operate with “one voice” to deliver seamless, harmonious, and reliable interactions across diverse interfaces in a customer journey. The proposed framework integrates three themes: (1) service interaction space to capture the interrelationship among devices, interfaces, interactions, and journeys; (2) learning and coordination as core capabilities for generating and using intelligence, respectively, to enhance customer engagement in subsequent interactions; and (3) one-voice strategy to configure learning and coordination capabilities in combinations that meet conditions of fitness and equifinality for effective customer engagement. We provide several research questions and priorities to guide research and practice.

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Limits of artificial intelligence in controlling and the ways forward: a call for future accounting research

Journal of Applied Accounting Research ◽

10.1108/jaar-10-2020-0207 ◽

2021 ◽

Vol 22 (2) ◽

pp. 365-382

Author(s):

Heimo Losbichler ◽

Othmar M. Lehner

Keyword(s):

Artificial Intelligence ◽

Information Processing ◽

Complex Systems ◽

Research Agenda ◽

Future Research ◽

Ethical Considerations ◽

Content Type ◽

Previous Discussion ◽

Research Questions ◽

Methodological Considerations

PurposeLooking at the limits of artificial intelligence (AI) and controlling based on complexity and system-theoretical deliberations, the authors aimed to derive a future outlook of the possible applications and provide insights into a future complementary of human–machine information processing. Derived from these examples, the authors propose a research agenda in five areas to further the field.Design/methodology/approachThis article is conceptual in its nature, yet a theoretically informed semi-systematic literature review from various disciplines together with empirically validated future research questions provides the background of the overall narration.FindingsAI is found to be severely limited in its application to controlling and is discussed from the perspectives of complexity and cybernetics. A total of three such limits, namely the Bremermann limit, the problems with a partial detectability and controllability of complex systems and the inherent biases in the complementarity of human and machine information processing, are presented as salient and representative examples. The authors then go on and carefully illustrate how a human–machine collaboration could look like depending on the specifics of the task and the environment. With this, the authors propose different angles on future research that could revolutionise the application of AI in accounting leadership.Research limitations/implicationsFuture research on the value promises of AI in controlling needs to take into account physical and computational effects and may embrace a complexity lens.Practical implicationsAI may have severe limits in its application for accounting and controlling because of the vast amount of information in complex systems.Originality/valueThe research agenda consists of five areas that are derived from the previous discussion. These areas are as follows: organisational transformation, human–machine collaboration, regulation, technological innovation and ethical considerations. For each of these areas, the research questions, potential theoretical underpinnings as well as methodological considerations are provided.

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Human-Centered Artificial Intelligence for Designing Accessible Cultural Heritage

Applied Sciences ◽

10.3390/app11020870 ◽

2021 ◽

Vol 11 (2) ◽

pp. 870

Author(s):

Galena Pisoni ◽

Natalia Díaz-Rodríguez ◽

Hannie Gijlers ◽

Linda Tonolli

Keyword(s):

Artificial Intelligence ◽

Literature Review ◽

Cultural Heritage ◽

Conceptual Framework ◽

Interaction Design ◽

Participatory Design ◽

Future Directions ◽

Heritage Sites ◽

Review Analysis

This paper reviews the literature concerning technology used for creating and delivering accessible museum and cultural heritage sites experiences. It highlights the importance of the delivery suited for everyone from different areas of expertise, namely interaction design, pedagogical and participatory design, and it presents how recent and future artificial intelligence (AI) developments can be used for this aim, i.e.,improving and widening online and in situ accessibility. From the literature review analysis, we articulate a conceptual framework that incorporates key elements that constitute museum and cultural heritage online experiences and how these elements are related to each other. Concrete opportunities for future directions empirical research for accessibility of cultural heritage contents are suggested and further discussed.

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Artificial intelligence in hospitals: providing a status quo of ethical considerations in academia to guide future research

AI & Society ◽

10.1007/s00146-021-01239-4 ◽

2021 ◽

Author(s):

Milad Mirbabaie ◽

Lennart Hofeditz ◽

Nicholas R. J. Frick ◽

Stefan Stieglitz

Keyword(s):

Artificial Intelligence ◽

Citation Network ◽

Status Quo ◽

Biomedical Ethics ◽

Future Research ◽

Ethical Considerations ◽

Ethical Discourse ◽

The Status ◽

Clinical Environments ◽

Research Questions

AbstractThe application of artificial intelligence (AI) in hospitals yields many advantages but also confronts healthcare with ethical questions and challenges. While various disciplines have conducted specific research on the ethical considerations of AI in hospitals, the literature still requires a holistic overview. By conducting a systematic discourse approach highlighted by expert interviews with healthcare specialists, we identified the status quo of interdisciplinary research in academia on ethical considerations and dimensions of AI in hospitals. We found 15 fundamental manuscripts by constructing a citation network for the ethical discourse, and we extracted actionable principles and their relationships. We provide an agenda to guide academia, framed under the principles of biomedical ethics. We provide an understanding of the current ethical discourse of AI in clinical environments, identify where further research is pressingly needed, and discuss additional research questions that should be addressed. We also guide practitioners to acknowledge AI-related benefits in hospitals and to understand the related ethical concerns.

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A New and Reinvigorated Research Agenda for U.S. Local Governments

State and Local Government Review ◽

10.1177/0160323x21991639 ◽

2021 ◽

pp. 0160323X2199163

Author(s):

Ann O’M. Bowman ◽

Domonic A. Bearfield ◽

Stefanie Chambers ◽

Beverly A. Cigler ◽

Arnold Fleischmann ◽

...

Keyword(s):

Local Government ◽

Public Engagement ◽

Local Governments ◽

Research Agenda ◽

Institutional Design ◽

Intergovernmental Relations ◽

Social Equity ◽

Local Government Finance ◽

Local Government Management ◽

Vantage Points

This essay offers a perspective on a new and reinvigorated research agenda for the study of U.S. local governments. It reports on the ideas and reflections of a set of local government scholars with different vantage points and varied substantive interests. Seven paramount themes or directions for a research agenda were identified, all of which contain numerous threads and thrusts: local government finance and economic development, local government management, intergovernmental relations, collaboration, public engagement, social equity, and institutional design. The essay offers some reasons for optimism about the future of U.S. local governments while also identifying cause for concern.

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