This study addresses one of the most critical advents and highly sought after the technological breakthrough of today's service sector. Internet of things has been finding relevance in today's service sector as a significant impetus to superior service delivery and advanced service proposition to customers. Healthcare sector is also no exception. This study taking data from the Indian healthcare sector attempts to check the relationship between IoT adoption and proposed service delivery gains experienced by healthcare organizations (if any). The study based on the theoretical premises of cybernetic control theory and technology adoption model by Davis, Hypothesized that IoT adoption must positively influence flexibility and agility and in turn, flexibility positively influence readiness. The empirical evidence supports these hypotheses, and all the findings validate the propositions that healthcare organizations and the players and actors involved in healthcare consider IoT adoption as pivotal. Because the survey outcomes establish path analysis linkages through Structural equation modeling (SEM). SEM results highlight the significant positive impact of IoT adoption on flexibility and agility and in turn, even stronger association and effects of flexibility on readiness in the services offered by healthcare organizations. This study outcomes are very vital for hospital managers and upcoming healthcare practitioners as it establishes empirical evidence supporting IoT adoption as a helpful step and prominent success factor for better flexible patient care delivery and agility.

Healthcare is not left behind in the technological era, where almost every industry uses technological advances to serve customers' needs and wants. Increasingly, patients and doctors are using modern technological infrastructure to deliver care services. This study focuses on the intrinsic factors that lead to provider adoption of mHealth. The study uses PLS-SEM and neural networks to build on UTAUT theory. Study collects data from 316 care providers practicing in government and private health canters, hospitals and clinic found that intrinsic factors like self-efficacy, personal innovativeness, and performance expectancy positively related to mHealth adoption by physicians, whereas technology anxiety negatively related to adoption behaviour. Effort expectancy is not significant, indicating that m-Health adoption is driven by usefulness and result rather than convenience. If the expertise is not easily available, the physician's best interest for the patient may often drive them to adopt m-Health.

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