A Maturity Model for Analyzing Strategic IT Management from a service perspective

This paper presents the construction of a maturity model for analyzing the strategic IT service management process ofinternal IT service provider’s in early growth stages. This model is presented as an alternative tool for improving theunderstanding, from an IT service management perspective, of: (i) the strategic IT processes/practices situation in an ITorganization, and (ii) facilitate the improvement task of such IT organization. The model construction is done using acombination of best practices of IT service management and IT governance together with characteristics specific to the objectunder analysis, e.g. internal IT service providers, municipal governments standards. The model uses a wider scope forstrategic ITSM, which facilitates its applicability in IT organizations in early growth stages, giving a practical value to themodel

Evaluating Open Data Innovation: A Measurement Model for Digital Innovation Contests

Digital innovation contests emerge as important intermediaries in open data markets. However the understanding of how contests affect innovation value chains is low and there is a lack of innovation measurement frameworks to support the management of digital innovation contests. Therefore, in this paper we apply design science to design a measurement model for digital innovation contests from the organizer’s perspective that adds to the available knowledge of innovation measurement. We use a recent case of digital innovation contests to motivate the model and discuss its implications on the innovation value chain. The measurement model contributes with new knowledge in the area of open data innovation and provides support for practice in managing innovation through digital innovation contests. For future research we intend to enhance the model to also measure the effects on innovation ecosystems, to operationalize the measures and to evaluate the model in several digital innovation contests as well as to include the perspective of the participants

Evaluating IT Service Delivery amongst ISPs from Nicaragua

This paper presents an evaluation of IT service delivery by Internet Service Providers (ISPs) from Nicaragua at the end of 2009. The evaluation is supported by a methodological approach based on IT Infrastructure Library (ITIL) v.2 concepts and case study techniques. The evaluation involved three ISPs that are nation-wide Internet Service Providers with more than ten years running. We describe the current practices and limitations of IT service delivery in ISPs from Nicaragua. Finally, we argue that existing IT service delivery practices amongst ISPs have matches to ITIL processes, although the ITIL processes are not known amongst them

DEVELOPING A METHOD FOR PRIORITIZING BUSINESS PROCESS IMPROVEMENT INITIATIVES

For continuous improvement and innovation in business processes, prioritizing processes is one of the top strategic decision-making tasks for chief information officers and business executives. However, most of the methods for prioritizing process improvement initiatives pay little attention to analysing the characteristics of processes. In addition, in the design process of these methods, the users (e.g. managers, process stakeholders) rarely participate. More importantly, how these methods can be adapted to managers’ decision-making process has not yet been fully explored. This paper addresses the need for a new method supporting managers’ decision making in prioritizing process improvement initiatives. We describe the design and evaluation of a prioritization and categorization method (PCM). The PCM consists of two models, the process assessment heat map (PAHM) and the process categorization map (CM), as well as five iterative activities. The evaluation results from Ericsson show that the PCM can produce a good-quality analysis of processes. It facilitates the decision-making process by eliciting the “collective intelligence” from key process stakeholders and managers. The findings also reveal the implications of improving the PCM to make it more configurable and dynamic. The paper contributes to business process management and proposes a novel method for prioritizing process improvement initiatives

Non-Standard Errors

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: Non-standard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for better reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants

Non-Standard Errors

In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors. Their size (i) co-varies only weakly with team merits, reproducibility, or peer rating, (ii) declines significantly after peer-feedback, and (iii) is underestimated by participants