Discovering AI-Driven Services for Service Wellbeing: An Insider Perspective: An Abstract

Artificial intelligence-driven services are becoming a primary source of service consumption. In today’s world, service stakeholders prefer to access quick and real-time information. Recent service audit reports also discuss the relevance and vitality of AI in services, and the demand for AI-enabled services is expected to grow in upcoming years. Moreover, users expect the service gateways to be wise, intelligent, and easily accessible. Users have continuously selected artificial intelligence-driven enablers; these enablers are dynamic and time-saving. Recent research has endowed that artificial intelligence-induced services help users by knowing their digital patterns; moreover, the aligned pattern maps help the service providers to understand the user’s expectations and choices. Subsequently, given that the world is thriving towards a digitally dominated culture, the relevance of artificial intelligence in services is dominant and budding. However, the notorious nature of AI has arisen with many concerns. Although the attributes of AI are exceptional, however, the AI enabling tools are prone to errors. Certain instances suggest that inappropriate positioning of AI-induced enablers has caused users to service disruption and technology anxiety. Moreover, the role of AI in services becomes doubtful due to digital errors, digital theft, and unknown digital scams. Recent scholarship has been uncertain and concerned about AI-induced services. Moreover, the existing scholarships have blamed AI-driven services for being unethical. Although AI-induced services are criticized, the ongoing issues are juxtaposed. Above all, recent narratives have rightfully elongated the scope of AI through relevant justifications. Overall, AI-induced services are promising.Furthermore, recent studies have rightfully appreciated the amicable behavior of AI in services. Many discussions have suggested AI implementation, as AI enablers are cost-effective and user-friendly. However, the underlined ambiguities should not be ignored, demanding innovative and effective AI implementation in services. As we rightfully mentioned, AI attributes are noteworthy. However, they lack poor positioning. The ongoing research also compels the understanding of lacuna, as the study has discussed AI attributes predominantly. We aspire to position a different direction of AI in services through our paper. With an investigative school of thought, we promise to identify the relevance of AI in the service providers’ perspectives and users’ perspectives. Ultimately survival of a business depends on user satisfaction. However, ongoing research fails to articulate the relevant positioning of AI amongst the users. This paper entitles research through a grounded theory approach and discusses the positioning of AI in services through a bi-directional model. We firmly believe that our proposed model will strengthen the positioning of AI in services and provide service wellbeing by replacing the existing technology stress. This paper aims to highlight the AI ambiguities and channel AI implementation cost-effectively through in-depth interviews with global experts.