Coordinated Border Management Through Digital Trade Infrastructures and Trans-National Government Cooperation: The FloraHolland Case

Digital infrastructures (DI) that support information exchange related to international trade processes (here referred to as Digital Trade Infrastructures (DTI)) have been seen as an instrument to help address the trade facilitation and security challenges. Data pipelines can be seen as an example of a DTI. Data pipelines are IT innovations that enable the timely provision of data captured at the source from different information systems available in the supply chain. Using the pipeline companies can share information with authorities and enjoy trade facilitation in return. The benefits of such data pipelines have been showcased in demonstrator settings. However, outside the controlled environment of demonstrator installations, the adoption and growth of these DTIs has been limited. The benefits based on purely implementing the data pipeline are limited. Combining data pipeline capability with Coordinated Border Management (CBM) has potential to articulate more clear benefits for stakeholders and push further investments and wider adoption. In this paper based on the FloraHolland trade lane related to exporting flowers from Kenya to the Netherlands we discuss a data pipeline/ CBM innovation. Through the conceptual lens of DI (examining architectural, process and governance dimensions) we demonstrate the potential benefits of data pipeline/ CBM innovation and the complex alignment processes between business and government actors needed for the further adoption. From a theoretical point of view we enhance the understanding regarding the governance dimension of such data pipeline/ CBM innovations by identifying four type of alignments processes involving businesses and government actors nationally and internationally. As such the paper contributes to the body of research on DI and more specifically DTI. Form a point of view of practice, the insights from our analysis can be used to better understand other data pipeline/ CBM innovation alignment processes in other domains as well.Information and Communication Technolog

External User Inclusion in Public e-Service Development : Exploring the Current Practice in Sweden

For the last decade e-government research has underlined the importance of an external user perspective in public e-service development and there have been numerous attempts to provide guidance and directions for government agencies in this matter. Individual research studies show little progress in this matter, but a more generalisable picture of the current state of external user inclusion is missing. The aim of this paper is to provide a better and more generalisable understanding of Swedish government agencies’ current practice of external user inclusion in public e-service development. In order to do so, we have interviewed Swedish government agencies regarding their perceptions on external user inclusion. Our findings show mixed results regarding attitudes towards and current practice of external user inclusion. It is clear that organisational size and previous experience of public e-service development matter. At the same time challenges such as a general lack of resurces and a lack of time are seen as general barriers, regardless of agency level and size

A critical analysis of decision support systems research revisited: The rise of design science

© Association for Information Technology Trust 2016.Decision support systems (DSS) is the area of the information systems (IS) discipline that is focused on supporting and improving managerial decision making. In 2005 the Journal of Information Technology (JIT) published our paper that critically analyzed DSS research from 1990 to 2003 (Arnott and Pervan, 2005). That paper used bibliometric content analysis as its method and analyzed 1020 articles in 14 journals. The analysis illuminated a vibrant and important part of IS research. Personal DSS and group support systems (GSS) dominated DSS research and two-thirds of DSS research was empirical, a higher proportion than general IS research. Interpretive DSS research was growing from a low base while design-science research (DSR) and laboratory experiments were major research categories. Unfortunately, it was found that DSS research to 2003 was relatively poorly founded on judgment and decision-making theory and faced what was described as ‘a crisis of relevance’