The Trajectory of IT in Healthcare at HICSS: A Literature Review, Analysis, and Future Directions

Research has extensively demonstrated that healthcare industry has rapidly implemented and adopted information technology in recent years. Research in health information technology (HIT), which represents a major component of the Hawaii International Conference on System Sciences, demonstrates similar findings. In this paper, review the literature to better understand the work on HIT that researchers have conducted in HICSS from 2008 to 2017. In doing so, we identify themes, methods, technology types, research populations, context, and emerged research gaps from the reviewed literature. With much change and development in the HIT field and varying levels of adoption, this review uncovers, catalogs, and analyzes the research in HIT at HICSS in this ten-year period and provides future directions for research in the field

Big Data and Analytics: Issues and Challenges for the Past and Next Ten Years

In this paper we continue the minitrack series of papers recognizing issues and challenges identified in the field of Big Data and Analytics, from the past and going forward. As this field has evolved, it has begun to encompass other analytical regimes, notably AI/ML systems. In this paper we focus on two areas: continuing main issues for which some progress has been made and new and emerging issues which we believe form the basis for near-term and future research in Big Data and Analytics. The Bottom Line: Big Data and Analytics is healthy, is growing in scope and evolving in capability, and is finding applicability in more problem domains than ever before

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

Innovative Concepts within Knowledge Management

In our increasingly knowledge-based society the need for innovative concepts within the discipline of Knowledge Management (KM) becomes clear. Therefore, this article aims to shed light on current and uprising innovative technologies and concepts within the discipline of KM. This study conveys recent and previous scientific literature on the relevance of uprising innovative concepts within the various dimensions of KM. We conducted a systematic literature review (SLR) on various literature sources to cover the whole spectrum of innovative KM approaches. All 37 reviewed articles originate from acknowledged sources and were written in English. The findings show, which innovative concepts show relevance within KM, how they are classified into the three innovation categories social, technological, and organizational, how they manifest within KM and what to expect from future KM innovations

Institutionalizing Analytic Data Sharing in SME Ecosystems – A Role-Based Perspective

There is a variety of reasons that sharing data among Small and Medium-Sized Enterprises (SMEs) carries business potential, particularly for analyti-cal applications. But outside a few niche domains, the number of success stories for data sharing is rather modest. Based on a qualitative study and first experiences from a research project with pilot im-plementations, we argue that this is mainly due to a lack of an institutionalized governance structure: Founding a separate legal entity for data sharing and analysis can address core concerns regarding sharing valuable data assets. However, this requires a well-calibrated set of defined roles for the in-volved partners. Based on our results we propose a first concept on delineating and mapping out those roles

Monitoring Collective Intelligence in Lithuania’s Online Communities

This paper presents the findings of a systematic survey that evaluated the potential of online communities (or Civic Tech) in Lithuania to co-create collective intelligence. Traditional approaches to public engagement remain relevant, notwithstanding, our enquiry is more interested in the growing potential of digital-enabled citizens to increase efficient collective performance. Civic intelligence is a form of collective intelligence exercised by a group’s capacity to perceive societal problems and its ability to address them effectively. The subject of the research is “bottom up” digital-enabled online platforms initiated by Lithuanian public organizations, civic movements and/or business entities. This scientific project advances our understanding about the basic preconditions in online communities through which collective intelligence is being systematically co-created. By monitoring the performance of Civic Tech platforms, the scientific question was examined, what are the socio-technological conditions that led the communities to become more intelligent. The results of web-based monitoring were obtained by applying Collective intelligence Monitoring technique and Pearson correlation analysis. This provided information about the potential and limits of online communities, and what changes may be needed to overcome such limitations

Adoption of Open Government Data for Commercial Service Innovation: an Inductive Case Study on Parking Open Data Services

City councils produce large amounts of data. As this data becomes available, and as information and communication technology capabilities are in place to manage and exploit this data, open government data is seen as becoming more and more valuable as a catalyst for service innovation and economic growth. Notwithstanding this, evidence of open data adoption is currently largely scattered and anecdotal. This is reflected in the lack of literature focusing on users of open data for commercial purposes. This research aims to address this gap and contributes to the IS open data services debate by proposing a model of factors perceived by an open data services business as the most relevant in explaining adoption of open government data for commercial service innovation in cities. Adopting an inductive reasoning approach through qualitative methods was critical to capture the complexity of the open data services ecosystem perceived by those reusing this data

Go for it: Where IS researchers aren’t researching

This viewpoint article describes two research topics under-researched by Information Systems (IS) researchers: Robotics and IT addiction. These topics offer great potential for IS researchers in terms of business and societal impacts and it would behoove IS researchers to study them more fully. The aspects of the research topics that are related to IS are discussed and potential research areas and questions are suggested

Go for it: Where IS researchers aren’t researching

This viewpoint article describes two research topics under-researched by Information Systems (IS) researchers: Robotics and IT addiction. These topics offer great potential for IS researchers in terms of business and societal impacts and it would behoove IS researchers to study them more fully. The aspects of the research topics that are related to IS are discussed and potential research areas and questions are suggested

Mobile Cloud Computing and Its Effectiveness in Business Organizations

E-commerce business organizations aim at achieving the goals and the mission effectively and efficiently so as to satisfy the diverse interests of the stakeholders. MCC is an ICT concept that enables the organizations to enhance the performance when serving the important stakeholders, who include customers, staff, managers, shareholders, and industry regulators. MCC involves the integration of the mobile devices to enable the sharing of the cloud infrastructure. The integration is done via a network and between the computer devices that operate remotely. The Internet is the most common network that enables the mobile devices to utilize the data and information stored in a cloud database. E-commerce businesses prefer the cloud infrastructure because it has a large data storage capacity and high processing speeds. Also, the cloud service providers invest substantial financial, human, and technological resources in ensuring the security of the effective management of the data resources. The main benefit of MCC is that it reduces the businesses expenses. For example, it enables the companies to offer products and services in the international market via the e-commerce infrastructure. Amazon.com is an example of a Multinational Corporation that is successful in offering high-quality services and products to customers in different countries using the website and the mobile app applications that are supported by the cloud infrastructure. Keywords: mobile cloud computing, cloud computing, E-commerce. DOI: 10.7176/IKM/9-1-0