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Digital transformation is one of the key concepts attached to the smart cities’ domain. The requirement to enhance strategically the way that business is delivered around different areas is a critical milestone for the digital transformation agenda and also for business performance management. In this short position chapter, we are focusing on the area of healthcare and we are providing key insights and lessons learned from Saudi Arabia. The main contribution of the chapter is a structured discussion on a digital healthcare strategy in the context of smart cities.

While considerable scholarly attention has been given to “millennials” (those born between 1981 and 1997), little is known of this generation’s ability to influence healthcare organizations and managerial roles in particular. This paper aims to clarify why millennials enter the healthcare management field and how their motivations correlate with preferences for working in various healthcare sectors and with various patient populations.

Survey data were collected from 107 millennials pursuing bachelor degrees in healthcare management by using a modified version of the multidimensional work motivation scale. Further data were collected on millennials’ preferences for working in various healthcare sectors and with various patient populations. Correlational analyses were conducted to examine the relationship between types of motivation and workplace preferences. Cross-cultural differences were also examined within this generational set.

Results indicate a significant positive relationship between intrinsic motivation and preferences for working on the payer side of the industry and within finance and IT functions. Findings also reveal a significant positive relationship between prosocial motivation and preferences for working with more vulnerable patient populations. Variance in work motivation among cultural sub-sets of millennials suggests different upbringings, or alternatively, cultural relativity of the motivational constructs themselves.

Despite offering key insights into the next generation of healthcare managers, this study is limited by a sample of millennials from one large, metropolitan university in the USA and thus may not represent the views of all millennials.

To select, retain and develop the next generation of healthcare managers, it is incumbent upon organizations to better understanding millennials’ motivations and preferences.

This study is the first of its kind to illuminate the motivations and preferences that underpin a key and growing segment of the healthcare workforce. Millennials, now the largest and most diverse generation on the planet, are poised to change the landscape of health care.

The goal of this article is to provide an overview of healthcare entrepreneurship, both in terms of its current trends and future directions.

The article engages in a systematic review of extant research on healthcare entrepreneurship using the scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) as the review protocol and bibliometrics or scientometrics analysis as the review method.

Healthcare entrepreneurship research has fared reasonably well in terms of publication productivity and impact, with diverse contributions coming from authors, institutions and countries, as well as a range of monetary and non-monetary support from funders and journals. The (eight) major themes of healthcare entrepreneurship research revolve around innovation and leadership, disruption and technology, entrepreneurship models, education and empowerment, systems and services, orientations and opportunities, choices and freedom and policy and impact.

The article establishes healthcare entrepreneurship as a promising field of academic research and professional practice that leverages the power of entrepreneurship to advance the state of healthcare.

The article offers a seminal state of the art of healthcare entrepreneurship research.

The utilization of artificial intelligence (AI) in the solution of many problems encountered in healthcare in recent years is rapidly becoming widespread. Understanding of the use and importance of efficiency, security and accessible healthcare to everyone and providing value-based services for healthcare decision-makers is essential. The special uses of machine learning, natural language processing and smart voice assistants, which have developed as sub-branches of AI, for healthcare services, the contributions of these techniques to the digital transformation of healthcare services and how all these will help decision-making processes in healthcare services, will be discussed in this chapter. And also, FDA-approved algorithms that are a kind of AI tool will be explained.

Healthcare education is a huge industry with a significant social footprint and resilient impact on well-being and on the quality of life. It integrates diverse scientific domains and needs to continuously update its value proposition to reflect the need for preparing top-quality health professionals. It also has to support professional development and to manage effectively the accreditation of programs and the certification of skills and knowledge. In this chapter, the authors expand a theoretical framework about Active and Transformative Learning (ATL) that has introduced in the volume of ATL for STEAM disciplines and also discussed how artificial intelligent (AI) tools, such as OPENAI Chat GPT, can serve as transformers and value carriers for the implementation of ATL activities and use cases in healthcare education.

This paper explores innovation adoption in inter-organizational healthcare networks. The authors develop theoretical speculations to investigate better the role of artificial intelligence (AI) as an innovative tool to improve buyer-supplier relationships, creating better performance outcomes.

The research is based on a theoretical investigation aiming at exploring the role of AI-based solutions for managing buyer-supplier relationships. The conceptual approach allows us to identify some research streams (e.g. co-working collaborations in supply chain management) by proposing a matrix that helps clarify the analysis's directions.

The results show the importance of AI that can help the operator in accessing supplier information, including current prices, available stocks, and delivery status, thereby reducing the risk of information asymmetry. AI is intended not only as a technology tool but also as an innovative solution to promote business relationships and support vertical alliances through the value chain between buyer and supplier.

This paper can help healthcare actors examine the choices behind their operational strategies by providing transparency of the activities and availability of information in real-time. Finally, our study reflects the future directions to enhance the cooperation and innovation adoption among healthcare operators.

This paper aims to explore the influence of dimensions of organizational culture, namely, development culture, group culture, rational culture and hierarchical culture, on healthcare supply chain resilience (HCRES). Further, the study explored the moderating role of technology orientation on organizational culture dimensions and healthcare resilience linkages.

The study adopted a multi-unit study of different hospital supply chains (SCs). Consequently, perceptual data were gathered from seven dominant entities in a typical medical/hospital SC: hospitals, hotels, chemistry and pharmaceutical, marketing/public relations/promotion, medical equipment manufacturers and surgical suppliers, food and beverage providers (i.e. restaurants) and insurance providers. The responses were gathered using online survey and were analyzed using structural equation modeling.

Based on 276 completed responses, positive influences were found for development, group and rational cultures on HCRES. As expected, a negative influence of hierarchical culture was found on HCRES. Further, technological orientation was found to enhance the positive effects of development, group and rational cultures on HCRES. However, no prominent moderation was noted for hierarchical culture’s influence on HCRES. The findings suggested managers to focus more on developing competing values framework (CVF)-based dimensions of organizational culture dimensions for effective risk mitigation so as to provide healthcare services in a timely manner to patients.

The study is the first to investigate the effects of organizational culture’s dimensions on resilience. The study has empirically established the association between CVF view and dynamic capabilities. The study underlined the importance of resilience in healthcare SCs. Resilience is an important dynamic capability in healthcare SCs to provide uninterrupted treatments and services to patients. Any failure in such a service can be fatal. Further, the study developed the measures of development, group, rational and hierarchical culture for further investigation in healthcare. This study is also the first to develop a measure for resilience in the healthcare sector.

The purpose of this paper is to contribute to the extant literature regarding the exploitation of digital technologies by illustrating how this type of IT can influence business process improvements in the healthcare industry.

The paper reports an illustrative case study for MSD Italy, the Italian subsidiary of the USA-based company Merck & Co., Inc. The group sells drugs for human use in Italy but is also active in the veterinary (MSD Animal Health) industry, with Vree Health, and in solutions and software-based services for the healthcare industry.

The results show that the adoption of digital technologies could improve the performance of main healthcare business processes, particularly those processes that can be simplified with the adoption of information technology. More specifically, digital technologies could increase efficiency and, at the same time, allow for the delivery of better quality and reduced response times, with many benefits for several stakeholders, such as national health systems, clinicians and patients.

Although some studies report the need for effective business processes for sustainable healthcare systems, there is a lack of literature regarding the specific implications of the adoption of such digital technologies for the business process management of healthcare firms. This paper attempts to fill in this gap.

Social health insurance framework of any country is the national identifier of the country’s policy for taking care of its population which cannot access or afford quality healthcare. The purpose of this paper is to highlight the strategic imperatives of digital technology for the inclusive social health models for the BoP customers.

A qualitative exploratory study using in-depth personal interviews with 53 Indian health insurance CXOs was conducted with a semi-structured questionnaire. Using MaxQDA software, the interview transcripts were analyzed by means of thematic content analysis technique and patterns identified based on the expert opinions.

A framework for the strategic imperatives of digital technology in social health insurance emerged from the study highlighting three key themes for technology implementation in the social health insurance sector – analytics for risk management, cost optimization for operations and enhancement of customer experience. The study results provide key insights about how insurers can enhance the coverage of BoP population by leveraging technology.

The framework would help health insurers and policymakers to select strategic choices related to technology that would enable creation of inclusive health insurance models for BoP customers.

The absence of specific studies highlighting the strategic digital imperatives in social health insurance creates a unique value proposition for this framework which can help health insurers in developing a convergence in their risk management and customer delight objectives and assist the government in the formulation of a sustainable social health insurance framework.