Please use this identifier to cite or link to this item: http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1038
Title: Cognitive computing based ethical principles for improving organisational reputation: a B2B digital marketing perspective
Authors: Behera, Rajat Kumar.
Bala, Pradip Kumar.
Rana, Nripendra P.
Kizgin, Hatice.
Keywords: Cognitive computing
B2B digital marketing
Organisational effectiveness
Organisational reputation
Ethics
IIM Ranchi
Issue Date: 2022
Publisher: Journal of Business Research
Citation: Behera, R. K., Bala, P. K., Rana, N. P., & Kizgin, H. (2022). Cognitive computing based ethical principles for improving organisational reputation: A B2B digital marketing perspective. Journal of Business Research, 141(March), 685-701. https://doi.org/10.1016/j.jbusres.2021.11.070
Abstract: Cognitive computing is ushering in the fourth industrial revolution through its promises of improved accuracy, scalability and personalisation. Therefore, business-to-business (B2B) organisations are wavering in the decision for adoption into their digital marketing initiatives. However, embracing moral rules and/or moral judgments in their digital marketing innovation can be challenging, since making mistakes could damage reputations. Therefore, this study applies the ethical principles of cognitive computing in B2B digital marketing business-centric ethical challenges. An integrated theoretical framework grounded on multidisciplinary studies is proposed. The primary data were collected from 300 respondents within B2B businesses. The results of this research led to the conclusion that good ethical practices are essential for the improvement of both organisational effectiveness and organisational reputation. Increased organisational reputation delivers a competitive edge in fast-growing marketplaces. B2B businesses need to look for proactive ways to achieve continuous improvement.
URI: https://doi.org/10.1016/j.jbusres.2021.11.070
http://idr.iimranchi.ac.in:8080/xmlui/handle/123456789/1038
ISSN: 0148-2963
Appears in Collections:Journal Articles

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