Samaneh Bagheri

Governance of healthcare services is worldwide predominantly pursued in competitive quality-sensitive markets, which are nowadays drastically influenced by strong digitalization trends. This paper explores a value-based approach to enhancing healthcare delivery through the integration of emerging advanced digital technology access and the use of customized strategic decision and policy frameworks. The study begins by addressing the urgent policy and societal need for value-based healthcare systems, particularly in response to global or urgent health crises like the COVID-19 pandemic. The novel integrated healthcare intelligence framework, proposed in our study, aims to enhance healthcare management by leveraging cross-cutting digital approaches, strategic performance management, and big data analytics. This study addresses, in a systematic way, a collection of three elected key contextual conditions, including a mind mapping presentation, smart wellbeing conditions, and institutional corporate challenges. Each section in this paper examines consistently various specific operational strategies and digital technologies aimed at improving healthcare policy outcomes and setting a global benchmark for service innovation in the healthcare sector. The study presents at the end the contours of an integrated digitally-inspired early warning system for quality enhancement in the healthcare sector. The concluding section proposes operational anchor points for innovative healthcare service delivery, showcasing sustainable and equitable healthcare solutions through illustrative AI-driven pilot projects, practical capacity building, and public health engagement initiatives.

Business Intelligence and Analytics (BI&A) can support organizations to improve their decision-making and performance. However, despite the increasing investment in BI&A, a lot of organizations have failed to implement it successfully. Therefore, it is vital for organizations to clearly understand Critical Success Factors (CSFs) for the implementation of BI&A. Although various CSFs of BI&A are suggested by prior studies, there is little consensus on determining these factors. Furthermore, most former studies only deliver a list of theoretical CSFs of BI&A, while little evidence is given on the practical relevance of these factors and the reasoning and rationale behind them. The objective of this research is to theoretically identify and empirically evaluate these CSFs. We identify a set of CSFs of BI&A through a systematic literature review. Then, through a case study in the financial sector in the Netherlands, we provide an in-depth understanding of the practical relevance of these CSFs and the rationale behind them.

Co-creation value with the aim of enhancing customer experience-through providing integrated solutions- relies on networked collaborations of multiple service providers and customers within value network (VN) settings. The customer-centric view of such collaborations highlights the importance of understanding and addressing customer needs in which customer knowledge is essential. Accordingly, managing customer knowledge within VN facilitates providing integrated solutions, and in turn enhances customer experience. In this regard, in previous work we have developed a process-based framework on customer knowledge management within VN settings (VN-CKM). This framework covers processes in relation to both tacit and explicit customer knowledge. In general, there is extensive literature on IT-based systems in supporting knowledge management processes. However, there is a dearth of research on developing such systems to facilitate VN-CKM processes in the context of VN. In this regard, this study aims at eliciting end users requirements of systems needed to support VN-CKM processes. Regarding the predominant role of tacit knowledge in providing solutions, we focus on the tacit-related processes of our VN-CKM framework. Therefore, in this study these tacit-related processes are used as a basis in the requirement elicitation process. To do this, within a single VN, a two-round Delphi study is conducted to elicit the requirements from different actors of the VN. In total 144 requirements have been identified. Subsequently, by applying a structured classification approach they are classified into a set of 14 requirement types. Finally, a description for each requirement type is provided. This study, by following a well-structured research process from tacit-related VN-CKM processes to a coherent set of requirement types, provides a clear understanding on linking requirements to the original tacit-related VN-CKM processes. The resulting list of requirement types can be served as a baseline for defining and specifying the supportive system functionalities for tacit-related VN-CKM processes in the VN settings.