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- Whittaker, Lucas, et al.
(författare)
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"All Around Me Are Synthetic Faces" : The Mad World of AI-Generated Media
- 2020
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Ingår i: IT Professional Magazine. - : Institute of Electrical and Electronics Engineers (IEEE). - 1520-9202 .- 1941-045X. ; 22:5, s. 90-99
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Tidskriftsartikel (refereegranskat)abstract
- Advances in artificial intelligence and deep neural networks have led to a rise in synthetic media, i.e., automatically and artificially generated or manipulated photo, audio, and video content. Synthetic media today is highly believable and "true to life"; so much so that we will no longer be able to trust what we see or hear is unadulterated and genuine. Among the different forms of synthetic media, the most concerning forms are deepfakes and general adversarial networks (GANs). For IT professionals, it is important to understand what these new phenomena are. In this article, we explain what deepfakes and GANs are, how they work and discuss the threats and opportunities resulting from these forms of synthetic media.
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| 2. |
- Dunne, David, et al.
(författare)
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Can Design Thinking Succeed in Your Organization?
- 2022
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Ingår i: MIT Sloan Management Review. - : Massachusetts Instiitute of Technology. - 1532-9194 .- 1532-8937. ; 64:1, s. 60-67
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Tidskriftsartikel (refereegranskat)
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| 3. |
- Ferreira, Caitlin, et al.
(författare)
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The sharing economy’s impact on motivations to enter hybrid entrepreneurship : Using self-determination theory as an explanatory framework
- 2021
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Ingår i: International Review of Entrepreneurship. - : Senate Hall Academic Publishing. - 2009-2822. ; 19:1, s. 93-116
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Tidskriftsartikel (refereegranskat)abstract
- The expansion of the sharing economy has significantly disrupted industries and transformed classifications of employment. The sharing economy has reduced barriers to entry for entrepreneurs, however the decline in entrepreneurship in many countries seemingly contradicts this. Hybrid entrepreneurship (HE), however, has seen substantial growth aligned to the sharing economy’s development. This paper explores the link between the sharing economy and motivations for pursuing HE, in particular using the self-determination theory as a theoretical framework. Through the use of semi-structured interviews with 20 hybrid entrepreneurs, four extrinsic and four intrinsic motivations were identified. The research highlights the extent to which the sharing economy has changed the path of entrepreneurial venture development, easing the accessibility thereof. This research has implications for many stakeholders in the sharing economy. Future researchers should consider whether an individual’s industry of salaried employment impacts their primary motivation for pursuing HE, examine the impact of regulation on the sharing economy and develop strategies for established businesses under threat as a result of sharing economy business models.
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| 4. |
- Flostrand, Andrew, et al.
(författare)
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Fake news and brand management : a Delphi study of impact, vulnerability and mitigation
- 2020
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Ingår i: Journal of Product & Brand Management. - : Emerald Group Publishing Limited. - 1061-0421. ; 29:2, s. 246-254
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Tidskriftsartikel (refereegranskat)abstract
- PurposeFake news is presently one of the most discussed phenomena in politics, social life and the world of business. This paper aims to report the aggregated opinions of 42 brand management academics on the level of threat to, the involvement of, and the available actions of brand managers resulting from fake news.Design/methodology/approachA Delphi study of 42 academics with peer-reviewed publications in the brand management domain.FindingsThe study found that on some dimensions (e.g. the culpability of brand managers for incentivizing fake news by sponsoring its sources), expert opinion varied greatly. Other dimensions (e.g. whether the impact of fake news on brand management is increasing) reached a high level of consensus. The general findings indicate that fake news is an increasing phenomenon. Service brands are most at risk, but brand management generally is need of improving or implementing, fake news mitigation strategies.Research limitations/implicationsWidely diverse opinions revealed the need for conclusive research on the questions of: whether brands suffer damage from sponsoring fake news, whether fake news production is supported by advertising and whether more extensive use of internet facilitated direct interactions with the public through crowdsourcing increased vulnerability.Practical implicationsExperts agreed that practitioners must become more adept with contemporary tools such as fake news site blacklists, and much more aware of identifying and mitigating the brand vulnerabilities to fake news.Social implicationsA noteworthy breadth of expert opinion was revealed as to whether embellished or fabricated brand narratives can be read as fake news, inviting the question as to whether brands now be held to higher standards of communication integrity.Originality/valueThis paper provides a broad-shallow exploratory overview of the professional opinions of a large international panel of brand management academics on how the recent arrival of industrial fake news does, and will, impact this field.
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| 6. |
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| 7. |
- Lang, Bodo, et al.
(författare)
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How to Grow the Sharing Economy? Create Prosumers!
- 2020
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Ingår i: Australasian Marketing Journal. - : Sage Publications. - 1441-3582 .- 1839-3349. ; 28:3, s. 58-66
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Tidskriftsartikel (refereegranskat)abstract
- The sharing economy has changed many rules of business. One of those rules is the role of the firm and – importantly – the role of consumers, who can perform two roles and become both providers and consumers, i.e. “prosumers”. Therefore, the key network effect to leveraging the power of the sharing economy is for one-sided users, those who are consumers (e.g., Airbnb guests) or providers (e.g., Airbnb hosts), to add the second role and perform as providers and consumers and become prosumers (e.g., those who are Airbnb guests and hosts). Surprisingly, no studies have investigated this important phenomenon and measured how one-sided users may become prosumers. An online survey of 305 Airbnb users showed that trust and gratitude had a significant positive influence on service providers’ and consumers’ intentions to adopt the respective other role and become prosumers, and that those with high gratitude and trust had the highest intentions to become prosumers. However, consumers and providers differed markedly in how trust and gratitude influenced their intention to become prosumers. This study expands our understanding of trust and gratitude and highlights the potential for sharing platforms to create prosumers from both pools of one-sided users. Furthermore, it also makes a valuable contribution to the prosumer and sharing economy literatures by being the first to empirically measure users’ intentions to become prosumers in the sharing economy. We discuss the implications of the findings for practitioners, and suggest how future research could help leverage the sharing economy
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| 8. |
- Lee, Linda W., et al.
(författare)
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Making sense of text : artificial intelligence-enabled content analysis
- 2020
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Ingår i: European Journal of Marketing. - : Emerald. - 0309-0566 .- 1758-7123. ; 54:3, s. 615-644
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Tidskriftsartikel (refereegranskat)abstract
- Purpose The purpose of this paper is to introduce, apply and compare how artificial intelligence (AI), and specifically the IBM Watson system, can be used for content analysis in marketing research relative to manual and computer-aided (non-AI) approaches to content analysis. Design/methodology/approach To illustrate the use of AI-enabled content analysis, this paper examines the text of leadership speeches, content related to organizational brand. The process and results of using AI are compared to manual and computer-aided approaches by using three performance factors for content analysis: reliability, validity and efficiency. Findings Relative to manual and computer-aided approaches, AI-enabled content analysis provides clear advantages with high reliability, high validity and moderate efficiency. Research limitations/implications - This paper offers three contributions. First, it highlights the continued importance of the content analysis research method, particularly with the explosive growth of natural language-based user-generated content. Second, it provides a road map of how to use AI-enabled content analysis. Third, it applies and compares AI-enabled content analysis to manual and computer-aided, using leadership speeches. Practical implications - For each of the three approaches, nine steps are outlined and described to allow for replicability of this study. The advantages and disadvantages of using AI for content analysis are discussed. Together these are intended to motivate and guide researchers to apply and develop AI-enabled content analysis for research in marketing and other disciplines. Originality/value To the best of the authors' knowledge, this paper is among the first to introduce, apply and compare how AI can be used for content analysis.
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| 9. |
- Paschen, Jeannette, 1974-, et al.
(författare)
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Artificial intelligence (AI) and value co-creation in B2B sales : Activities, actors and resources
- 2021
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Ingår i: Australasian Marketing Journal. - : Elsevier. - 1441-3582 .- 1839-3349. ; 29:3, s. 243-251
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Tidskriftsartikel (refereegranskat)abstract
- Continuous advances in information technologies, such as Artificial intelligence (AI), are opening up new and exciting opportunities for value co-creation between economic actors. However, little is known about the mechanisms and the process of value co-creation enabled by AI. While scholars agree that AI technology significantly changes human activities and human resources, currently we do not have an adequate understanding of how humans and AI technology interact in value co-creation. This is the central phenomenon investigated in this article. Specifically, using Service-Dominant Logic (S-DL) as a lens, this study investigates the activities, roles and resources that are exchanged in AI-enabled value co-creation, using the creation of competitive intelligence as a research context. The analysis suggests that AI-enabled value co-creation processes are complex interactions between human and non-human actors who perform any of six different roles either jointly or independently. This article contributes to SD-L and provides a deeper understanding of the activities (the ‘how’), the actors (the ‘who’), and the resources (the ‘what’) in AI-enabled value co-creation, thus helping to close an identified gap in the literature.
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| 10. |
- Paschen, Ulrich, et al.
(författare)
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Artificial intelligence : Building blocks and an innovation typology
- 2020
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Ingår i: Business Horizons. - : Elsevier. - 0007-6813 .- 1873-6068. ; 63:2, s. 147-155
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Tidskriftsartikel (refereegranskat)abstract
- The range of topics and the opinions expressed on artificial intelligence (AI) are so broad that clarity is needed on the the field’s central tenets, the opportunities AI presents, and the challenges it poses. To that end, we provide an overview of the six building blocks of artificial intelligence: structured data, unstructured data, preprocesses, main processes, a knowledge base, and value-added information outputs. We then develop a typology to serve as an analytic tool for managers grappling with AI’s influence on their industries. The typology considers the effects of AI-enabled innovations on two dimensions: the innovations’ boundaries and their effects on organizational competencies. The typology’s first dimension distinguishes between product-facing innovations, which influence a firm’s offerings, and process-facing innovations, which influence a firm’s operations. The typology’s second dimension describes innovations as either competence-enhancing or competence-destroying; the former enhances current knowledge and skills, whereas the latter renders existing skills and knowledge obsolete. This framework lets managers evaluate their markets, the opportunities within them, and the threats arising from them, providing valuable background and structure to important strategic decisions.
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