Open Data Diffusion for Service Innovation: An Inductive Case Study on Cultural Open Data Services

Information Systems research on Open Data has been primarily focused on its contribution to e-government inquiries, government transparency, and open government. Recently, Open Data has been explored as a catalyser for service innovation as a consequence of big claims around the potential of such initiatives in terms of additional value that can be injected into the worldwide economy. Subsequently, the Open Data Services academic conversation was structured (Lindman et al. 2013a). The research project presented in this paper is an interpretive case study that was carried out to explore the factors that influence the diffusion of Open Data for new service development. This paper contributes to this debate by providing an interpretive inductive case study (Walsham 1995) of a tourism company that successfully turned several city authorities’ raw open datasets into a set of valuable services. Results demonstrate that 16 factors and 68 related variables are the most relevant in the process of diffusion of open data for new service development. Furthermore, this paper demonstrates the suitability of Social Constructionism and interpretive case study research to inductively generate knowledge in this field

Meaningful Use of Electronic Health Records for Physician Collaboration: A Patient Centered Health Care Perspective

EHRs (Electronic Health Records), can contribute greatly to improving care and managing the rising costs of healthcare. The use and the integration of EHRs (Electronic Health Records) in supporting collaboration to increase the efficiency and effectiveness of healthcare remains a challenge. It appears that the physicians are at the center of this bottleneck. As healthcare is provided by interdisciplinary teams of clinicians and collaboration and coordination are key to success. Literature suggests reasons for the limited use relate to policy, financial and usability considerations, but it does not provide an understanding of reasons for physicians\u27 limited interaction and adaptation of EHR. This paper investigates how meaningful use of EHRs by physicians enable patient centered healthcare to be achieved. Following an analysis of qualitative data, collected in a case study at a hospital using interviews, this research shows how a collaborative technology architecture can enable the reduction in the costs of healthcare and improvements in the quality of care by enabling more patient centered health care

Unpacking platform business scaling in the digital age

Today’s increasingly pervasive digital technologies have radically transformed the competition landscape of the business world. To succeed in the digital age, digital businesses must establish and strengthen their ecosystem positions through rapid scaling. While extant literature in platform ecosystems identified the urgency of scaling for focal platforms, there is little recognition that non-focal actors (i.e., complementors) typically pursue their own growth ambitions. If successful, these ambitions may even shift the complementor’s position as a non-focal to a focal actor in the digital ecosystem. While such a scaling process opens new possibilities for the complementor, it also challenges its relations with focal platforms in the ecosystem on which it depends. This is what we refer to as the complementor’s dilemma: how can a non-focal actor pursue growth ambitions while maintaining favourable relationships with the focal platforms on which they grow? To address this research problem, a sequential mixed-method project combining qualitative research approaches with computational techniques was conducted. Developing on an in-depth embedded case study of the Chinese short video platform Douyin from its inception as a complementor in 2016 to its rapid establishment as a focal actor in 2018, we further test and generalise the findings for the entire social networking ecosystem in China. This allows for new empirical and theoretical perspectives on the navigation process of digital business scaling through identity projection. The findings suggest that non-focal businesses must continually locate and re-locate who they are in the moment and the trade-off of two, or multiple, future scenarios regarding their relationship with focal platforms, to cope with the complementor’s dilemma as they grow. Four identity projection strategies are further conceptualised as a powerful toolkit for balancing growth ambitions and dependency on other ecosystem actors during the scaling process. These findings contribute to the platform literature by offering a process model for non-focal businesses’ identity projection as they grow in digital ecosystems. The model offers important implications for our understanding of complementarity as a dynamic process involving purposeful identity re-projection, as non-focal businesses attempt to navigate tensions with focal platforms in digital ecosystems during growth. It also contributes to our understanding of digital business scaling beyond a high-growth consequence of firm size — a turbulent, uncertain, messy process to economies of complementarity in digital ecosystems

A framework for e-government implementation at a national level

This study attempts to explore and investigate empirically how an e-government system can be implemented at a national level; the key issues that might restrict its implementation; and how these issues could be treated in practice. Following a comprehensive review of the relevant literature, an initial conceptual framework for e-government implementation is formulated The framework is then applied in a real world case study to support further data collection and to establish an exhaustive view of the e-government implementation process at a national level. The case study examines the development of an e-government implementation in Qatar and involved 26 semi-structured interviews, 10 observations, 10 electronic reports, analysis of around 50 documents, and numerous newspaper articles and press releases. The interviewees included senior officials from the e-government steering committee, the e-government project team and various government ministries. The documentations included all the key documents relating the e-government project. Based on the data collected the initial framework is then revised by using the interpretive case study approach, which depends on an iterative research cycle where triangulated data are extracted The study then combined the evidence from the literature with the case study data to narrow the gap between e-government implementation theory and practice. As a result, a comprehensive framework including detailed measurements to differentiate four development stages is created. This framework classifies the key issues that might restrict e-government implementation into two main categories, organisational and technological issues, and uses other issues as the development measurements. The framework can be used as a tool to determine the road ahead for implementing an e-government system at a national level and to identify the main practices, processes, possible goals, progress indicators and key conditions to move from one stage to another. It can be claimed that this study has made a novel contribution to the area of e-government and has expanded the boundaries of knowledge, especially for governments that are seeking to implement an egovernment system at a national level