Search results

The concept and practice of e-services has become essential in business transactions. Yet there are still many organizations that have not developed e-services optimally. This is especially relevant in the context of Indonesian Airline companies. Therefore, many airline customers in Indonesia are still in doubt about it, or even do not use it. To fill this gap, this study attempts to develop a model for e-services adoption and empirically examines the factors influencing the airlines customers in Indonesia in using e-services offered by the Indonesian airline companies. Taking six Indonesian airline companies as a case example, the study investigated the antecedents of e-services usage of Indonesian airlines. This study further examined the impacts of motivation on customers in using e-services in the Indonesian context. Another important aim of this study was to investigate how ages, experiences and geographical areas moderate effects of e-services usage.

The study adopts a positivist research paradigm with a two-phase sequential mixed method design involving qualitative and quantitative approaches. An initial research model was first developed based on an extensive literature review, by combining acceptance and use of information technology theories, expectancy theory and the inter-organizational system motivation models. A qualitative field study via semi-structured interviews was then conducted to explore the present state among 15 respondents. The results of the interviews were analysed using content analysis yielding the final model of e-services usage. Eighteen antecedent factors hypotheses and three moderating factors hypotheses and 52-item questionnaire were developed. A focus group discussion of five respondents and a pilot study of 59 respondents resulted in final version of the questionnaire.

In the second phase, the main survey was conducted nationally to collect the research data among Indonesian airline customers who had already used Indonesian airline e-services. A total of 819 valid questionnaires were obtained. The data was then analysed using a partial least square (PLS) based structural equation modelling (SEM) technique to produce the contributions of links in the e-services model (22% of all the variances in e-services usage, 37.8% in intention to use, 46.6% in motivation, 39.2% in outcome expectancy, and 37.7% in effort expectancy). Meanwhile, path coefficients and t-values demonstrated various different influences of antecedent factors towards e-services usage. Additionally, a multi-group analysis based on PLS is employed with mixed results. In the final findings, 14 hypotheses were supported and 7 hypotheses were not supported.

The major findings of this study have confirmed that motivation has the strongest contribution in e-services usage. In addition, motivation affects e-services usage both directly and indirectly through intention-to-use. This study provides contributions to the existing knowledge of e-services models, and practical applications of IT usage. Most importantly, an understanding of antecedents of e-services adoption will provide guidelines for stakeholders in developing better e-services and strategies in order to promote and encourage more customers to use e-services. Finally, the accomplishment of this study can be expanded through possible adaptations in other industries and other geographical contexts.

We hope this research volume will change the way scholars and managers think about health care management in two fundamental ways. First, we want to challenge the superficial separations between national and international health care management. To dissolve these distinctions, the “not-invented-here” or “who cares about a Belgian, Indian, or Thai medical center,” or “that won’t work in our policy system” attitudes must change. Second, we want scholars and managers to learn how to transfer innovative ideas and management practices across cultures and around policy barriers. Cultural, language, and policy differences present formidable barriers, but we believe lessons about managing human resources, informatics, quality, services, and strategies in health care organizations can be transferred.

Big Data is one of the most promising area where it can be applied to make a change is health care. Healthcare analytics have the potential to reduce the treatment costs, forecast outbreaks of epidemics, avoid preventable diseases, and improve the quality of life. In general, the lifetime of human is increasing along world population, which poses new experiments to today’s treatment delivery methods. Health professionals are skillful of gathering enormous volumes of data and look for best approaches to use these numbers. Big data analytics has helped the healthcare area by providing personalized medicine and prescriptive analytics, medical risk interference and predictive analytics, computerized external and internal reporting of patient data, homogeneous medical terms and patient registries, and fragmented point solutions. The data generated level within healthcare systems is significant. This includes electronic health record data, imaging data, patient-generated data, etc. While widespread information in health care is now mostly electronic and fits under the big data as most is unstructured and difficult to use. The use of big data in health care has raised substantial ethical challenges ranging from risks for specific rights, privacy and autonomy, to transparency and trust.

This chapter provides an overview of inclusive assessment and discusses some key challenges around the assessment policy-practice gap. It takes a broad perspective of inclusive assessment that includes all learners and focuses on children’s rights to as well as within education. The chapter reflects the research and policy development work on assessment being undertaken internationally, and it particularly draws on the relevant work of the European Agency for Special Needs and Inclusive Education (the Agency). It first sets out to discuss the concepts of high quality inclusive assessment at policy, local area and school levels. It then provides a detailed account of the main policy issues and challenges that countries commonly face in the implementation of inclusive assessment and suggests ways to address these challenges. The concluding section summarises the main elements of a coherent assessment system that supports the inclusion of all learners.

The objective of this chapter is to identify the key characteristics of Global Services businesses that will thrive and achieve success in the future. These factors are integrated into three main pillars, which we refer to as the Triple-Win. The first and most obvious pillar is technology as a tool. The second pillar is the design and sustainability of the business model, without which the previous factor would be merely a cost and not an investment. And last but not the least, there is the purpose which gives meaning to the proposal, focusing on the human being and their environment. The DIDPAGA business model sits at the intersection of these three elements.

This chapter concludes the section on cross-innovation practices between audiovisual (AV) media industries and the health care sector. It suggests that the main case studies discussed in this section – Estonia in general and Aarhus Region in Denmark – tell of two different trajectories on how the emergence of cross-innovation systems can be facilitated by policies. Local policymakers in Aarhus have worked systematically to raise awareness and facilitate contacts between AV media and other sectors and this has resulted in an active start-up scene at the intersection between the media and the health care industries. Estonia, which is focusing on traditional cultural policymaking, has not recognised similar dynamics. Yet, Estonia may be still better prepared for the (global) platformisation of e-health services with its national e-governance systems, while Denmark’s health-related e-services remain fragmented and ripe for platformisation by multinationals, potentially undermining local cross-innovation systems.

Integration between primary and secondary healthcare services and institutions has been at the core of health policy in Scandinavian countries over the last decade. This paper is based on an explorative case study of recent reforms in the healthcare sector and their outcomes in Denmark, Norway and Sweden. We discuss the possibilities of and problems for integrating the healthcare sector through the coordination mechanisms of hierarchy, market and network. The paper also discusses whether the institutional logic of the healthcare field is moving from a dual logic of ‘cure’ and ‘care’ towards a unifying logic of ‘integrated care’. We find that although the organisational principles that regulate the relationship between actors in the healthcare field in the three countries have changed, the challenge of achieving a mix of coordinative mechanisms that promote, rather than weaken, integration remains. However, the new organisational and regulative arrangements are an arena for increased interaction and collaboration between the actors, and thus a foundation for change towards the institutional logic of integrated health care.