Please use this identifier to cite or link to this item: https://doi.org/10.1108/JRIM-06-2023-0176
Title: Corporate digital responsibility (CDR) in the age of AI: implications for interactive marketing
Authors: Kunz, Werner H
Wirtz, Jochen 
Keywords: Social Sciences
Business
Business & Economics
Digitalisations
Artificial Intelligence
Data Security
Service Technology
Ethics
Corporate Responsibility
Digital Responsibility
Issue Date: 1-Jan-2023
Publisher: EMERALD GROUP PUBLISHING LTD
Citation: Kunz, Werner H, Wirtz, Jochen (2023-01-01). Corporate digital responsibility (CDR) in the age of AI: implications for interactive marketing. JOURNAL OF RESEARCH IN INTERACTIVE MARKETING. ScholarBank@NUS Repository. https://doi.org/10.1108/JRIM-06-2023-0176
Abstract: Purpose: Despite all the recent achievements in the field of interactive marketing and artificial intelligence (AI), it is important to consider the ethical implications of these technologies. This paper explains the concept of corporate digital responsibility (CDR) and how it is affected by new advances in AI. Design/methodology/approach: The authors build on the work of Wirtz et al., (2023) and derive several managerial implications for the challenges that AI poses to CDR. CDR refers to a service company's ethical and fair use of data and technology within its digital service ecosystem. It involves establishing standards, protecting customer privacy, conducting external audits and striving for an equitable power dynamic between service firms and their partners. Findings: Despite the risks involved, many companies are not prioritizing good CDR practices. Financial benefits from the collection and use of consumer data, improved customer experience through AI-driven customization and personalization, cost reduction through service automation and the trade-offs between organizational goals and CDR practices can prevent companies from prioritizing good CDR practices. Originality/value: This is one of the first articles in the service domain to take the concept of CDR and apply it to recent developments in generative AI. Research limitations/implications: The emergence of powerful AI tools presents opportunities and challenges. Research opportunities include responsible business restructuring, responsible service automation to ensure fairness and human oversight, addressing dehumanization of service delivery, responsible customer profiling to address privacy and discrimination concerns and preventing AI misuse.
Source Title: JOURNAL OF RESEARCH IN INTERACTIVE MARKETING
URI: https://scholarbank.nus.edu.sg/handle/10635/245207
ISSN: 2040-7122
2040-7130
DOI: 10.1108/JRIM-06-2023-0176
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