What happens next? – A survey of the afterlife of innovation contests

Innovation contests are becoming popular instruments for stimulating development of digital services using open data. However, experience indicates that only a limited number of the results developed during these events become viable digital services attracting a significant user base. Hence, an unresolved question is how organizers choose to support the service development process after the contest is concluded. To further deepen our knowledge about the design of digital innovation contests and the support for the processes after the contests are concluded, we conducted a survey of the websites of 33 digital innovation contests

What happens next? – A survey of the afterlife of innovation contests

Innovation contests are becoming popular instruments for stimulating development of digital services using open data. However, experience indicates that only a limited number of the results developed during these events become viable digital services attracting a significant user base. Hence, an unresolved question is how organizers choose to support the service development process after the contest is concluded. To further deepen our knowledge about the design of digital innovation contests and the support for the processes after the contests are concluded, we conducted a survey of the websites of 33 digital innovation contests

AMES: Towards an Agile Method for ERP Selection

Conventional on-premise installations of ERP are now rapidly being replaced by ERP as service. Although ERP becomes more accessible and no longer requires local infrastructure, current selection methods do not take full advantage of the provided agility. In this paper we present AMES (Agile Method for ERP Selection), a novel method for ERP selection which better utilizes the strengths of service oriented ERP. AMES is designed to shorten lead time for selection, support identification of essential system requirements, increase learning during the selection process and increase control over the subsequent ERP implementation. These properties of the method will help user organizations to make better and faster decisions when selecting ERP

Why Governing Data Is Difficult: Findings from Danish Local Government

Part 1: Being Smart: Adoption ChallengesInternational audienceData governance has emerged as a promising approach for transforming organizations. While governing data as an organizational asset has clear benefits, no previous studies have reported on the particular challenges faced by practitioners in local government organizations. Against this backdrop, we investigate why it is difficult for local government organizations to explore and exploit their data assets with data governance. Following an engaged scholarship approach, we carried out six group interviews conducted with 34 representatives from 13 different Danish municipalities. From the analysis, we identified nine challenges relating to three overall themes that are critical to governing data in local government: (1) data value and overview, (2) data practices and collaboration and (3) data capabilities and politics. We explain how the three themes extend previous research in data governance and e-government literature. The implications for practice and directions for future research are discussed