Exploring strategic leadership challenges in achieving an ICT enabled transformational government

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityThis empirical research focuses on exploring the role of strategic leadership in the shift from Electronic Government (eGovernment) to Transformational Government (tGovernment). Despite the fact that many countries have implemented eGovernment, the literature reports a number of themhave failed to reach the promised seamless transformation. Moreover, there is a dearth of research into the domain of tGovernment; the research which exists is limited in extent thus leaving scope for timely and novel research contributions. This thesis reveals that a valuable contribution to knowledge could be derived from exploring the domain of transformational government. The leadership motivationand incentives to conduct a radical government organisational change have become an area of great importance. There is limited research on the strategic role of leadership in achieving transformational government domain; hence, the implications of seamless integration for transformational government have yet to be explored. This research discusses transformational government by using a qualitative, multiple case study research strategy. Data is triangulated and analysed according to its explanatory properties and underlying structural context. This researchextends established norms in literature for tGovernment implementation by incorporating established theories in organisational change from other related disciplines. This is to explain the significance of the underlying philosophical nature of the emerging themes, thus enabling government leaders to create robust strategic proposals for tGovernment. This empirical research is conducted in a Middle Eastern cultural context based in Dubai, United Arab Emirates. The research arrives at several key findings and themesthat contribute to the body of knowledge. A primary finding is the need for a radical change and an innovative managerial approach in using ICT to enable radical change in government organisations. A related finding of this research is that many assumptions underlying the various tGovernment models for transformation fall short to empirically explain the transformational government domain.The government visionary leadership has been proven to be a powerful driver for change in terms of initiating and leading the process for transformational government

eGovernment Interoperability Issues in Lithuania

The paper analyzes the interoperability importance and role in development of eGovernment. The interoperability challenges was faced in different EU countries since 2000. System complexity, multiplicity and diversity in the public sector is posing extreme challenges to common interoperability standards the eGovernment Interoperability Frameworks (eGIFs) pose as a cornerstone for the provision of one-stop, fully electronic services to businesses and citizens. The paper analyzes eGovernment development preconditions in Lithuania, overview and good practice experience in developing eGovernment interoperability framework at EU level (European Interoperability Framework) and national levels – UK, Germany and Greece. Comparing these frameworks by different criteria the guidelines for developing eGovernment interoperability framework in Lithuania are designed. The project for Lithuania eGovernment Interoperability framework development is supported by Ministry of Interior of the Republic of Lithuania and State Science Fundation

10301 Executive Summary and Abstracts Collection -- Service Value Networks

From 25.07.2010 to 30.07.2010, the Perspectives Workshop 10301 ``Perspectives Workshop: Service Value Networks \u27\u27 was held in Schloss Dagstuhl~--~Leibniz Center for Informatics. During the seminar, several participants presented their current research, and ongoing work and open problems were discussed. Abstracts of the presentations given during the seminar as well as abstracts of seminar results and ideas are put together in this paper. The first section describes the seminar topics and goals in general. Links to extended abstracts or full papers are provided, if available

The Development of eServices in an Enlarged EU: eGovernment and eHealth in Lithuania

In 2005, IPTS launched a project which aimed to assess the developments in eGoverment, eHealth and eLearning in the 10 New Member States at national, and at cross-country level. At that time, the 10 New Member States were Cyprus, the Czech Republic, Estonia, Hungary, Latvia, Lithuania, Malta, Poland, and Slovakia. A report for each country was produced, describing its government and health systems and the role played by eGovernment and eHealth within these systems. Each report then analyzes, on the basis of desk research and expert interviews, the major achievements, shortcomings, drivers and barriers in the development of eGovernment and eHealth in one of the countries in question. This analysis provides the basis for the identification and discussion of national policy options to address the major challenges and to suggest R&D issues relevant to the needs of each country ¿ in this case, Lithuania. In addition to national monographs, the project has delivered a synthesis report, which offers an integrated view of the developments of each application domain in the New Member States. Furthermore, a prospective report looking across and beyond the development of the eGoverment, eHealth and eLearning areas has been developed to summarize policy challenges and options for the development of eServices and the Information Society towards the goals of Lisbon and i2010.JRC.J.4-Information Societ

Succeeding with Smart People Initiatives: Difficulties and Preconditions for Smart City Initiatives that Target Citizens

Smart City is a paradigm for the development of urban spaces through the implementation of state-of-the-art ICT. There are two main approaches when developing Smart Cities: top-down and bottom-up. Based on the bottom-up approach, the concepts of Smart People and Smart Communities have emerged as dimensions of the Smart City, advocating for the engagement of citizens in Smart People initiatives. The aim of this research is both to find the types of Smart People initiatives and to identify their difficulties and preconditions for success. However, such initiatives that aim to (1) leverage the citizens intellectually and (2) use citizens as a source of input for ideas and innovation, are understudied. Therefore, this research proposes a concentrated framework of Smart People initiatives from an extensive literature review. On one hand, this framework contributes with a common ground and vocabulary that facilitates the dialogue within and between practitioners and academia. On the other hand, the identification of difficulties and preconditions guides the academia and practitioners in how to successfully account for citizens in the Smart City. From the literature review and the conduct of case studies of five European cities, participation came out as the key difficulty across both types of Smart People initiatives and cases, closely followed by awareness, motivation and complexity

Three analytics-based essays examining the use and impact of Intelligent Voice Assistants (IVA) and Health Information Technologies (HIT) in service contexts

Recent advancements in information technology (IT) innovation, such as artificial intelligence (AI) and machine learning (ML), are changing the dynamics in the service sector by driving smart reinvention of service tasks and processes. Additionally, organisations are leveraging the capabilities of emerging information systems (IS) to make their services more efficient and customer centric. However, the decision to use recent advancements in IT can be challenging for organizations since the required initial investment for implementation is often high and the economic value and impact on service performance cannot be gauged with certainty (Kwon et al. 2015). This forces many organizations to prioritise which IT functionalities may best be suited for their needs. To support the decision making process of organizations, regarding the adoption and use of innovative IT, scholars in the information systems (IS) and related fields are called to improve knowledge and understanding about various IT components and functionalities as well as their corresponding impact on individual users and organizations. Scholars are also expected to provide the means by which businesses can meaningfully predict the potential impact and economic value of innovative IT (Ravichandran 2018). In this three essay dissertation, we investigate how the use of various components and functionalities of innovative information systems can individually (or together) impact the quality of service delivered to end consumers. The essays are broadly based on the intersection of artificial intelligence (AI), machine learning(ML) and services. In the first study, we found that during encounters between eService consumers and Intelligent Voice Assistants (IVAs), typically powered by artificial intelligence, machine learning and natural language processing, the following dimensions are important for the perceived quality of service: IVA interactivity, IVA personalization, IVA flexibility, IVA assurance and IVA reliability. Among the five dimensions of IVA encounter, we found that IVA interactivity, IVA personalization and IVA reliability had positive impacts on the effective use of IVAs. In study 2, we investigated performance of hospitals in the health service sector. We proposed a smart decision support system (DSS) for predicting the performance of hospitals based on the Health Information Technology (HIT) functionalities as applied and used in these hospitals for patient care and in improving hospital performance. We found that the predictive performance of our proposed smart DSS was most accurate when HIT functionalities were used in certain bundles than in isolation. In study 3, we investigated the effect of hospital heterogeneity on the accuracy of prediction of our proposed smart DSS as we recognize that not all hospitals have the same set of context, opportunity, location and constraints. We found that the following sources of variations in hospitals had significant moderator effects on the accurate prediction of our smart DSS: hospital size, ownership, region, location (urban/rural) and complexity of cases treated. In summary, this dissertation contributes to the IS literature by providing insight into the emergent use of artificial intelligence and machine learning technologies as part of IS/IT solutions in both consumer-oriented services and the healthcare sector