Turku Centre for Computer Science

About: Turku Centre for Computer Science is a facility organization based out in Turku, Finland. It is known for research contribution in the topics: Decidability & Word (group theory). The organization has 382 authors who have published 1027 publications receiving 19560 citations.

Interpreting Information Security Policy Outcomes: A Frames of Reference Perspective

Abstract: A major concern for IS managers is that information security policies seldom produce expected outcomes. Previously, scholars have studied motivations underlying non-conformance to policies and proposed approaches for motivating employees. However, the socio-cognitive aspects that shape employees' perceptions of the policies and implications for policy outcomes have received modest attention. This study draws on socio-cognitive concept of frames and on literature on information security policies to suggest a theoretical and analytical concept of Information Security Policy Frames of Reference (ISPFOR). The concept provides a sensitizing device to interpret how the frames influence organizational groups' perceptions of policies and the implications of the perceptions on policy outcomes. Three frame categories were uncovered through an interpretive case study at large multinational internet service provider. Findings suggest frames shape perceptions of policies and provide an explanation for unanticipated policy outcomes. Implications for research and practice are discussed.

Clustering the changing nature of currency crises in emerging markets: an exploration with self- organising maps

Abstract: Currency crises are a recurring phenomenon. To increase the understanding of their changing nature, this paper analyses the evolution of currency crises and assesses them in the generation framework of theoretical models. The self-organising map (SOM), a neural network-based clustering and visualisation tool, is used for clustering pre-crisis periods for emerging market economies. The clustering results are used for finding differences in crises between decades, whereafter the decade clusters are compared with the theoretical framework. We conclude that for emerging market economies, this paper shows that the crises in the 1970s and 1980s are of a different nature and that the crises in the late 1990s are, in comparison with the preceding decades, determined by weaker warning signals. This illustrates that predicting the Asian crises with a priori models was a difficult task. Further, the empirical results indicate that the generation framework is not as clear-cut as theory points out.

Electricity consumption time series profiling: a data mining application in energy industry

Abstract: The ongoing deployment of Automated Meter Reading systems (AMR) in the European electricity industry has created new challenges for electricity utilities in terms of how to fully utilise the wealth of timely measured AMR data, not only to enhance day-to-day operations, but also to facilitate demand response programs. In this study we investigate a visual data mining approach for decision-making support with respect to pricing differentiation or designing demand response tariffs. We cluster the customers in our sample according to the customers' actual consumption behaviour in 2009, and profile their electricity consumption with a focus on the comparison of two sets of seasonal and time based variables. The results suggest that such an analytical approach can visualise deviations and granular information in consumption patterns, allowing the electricity companies to gain better knowledge about the customers' electricity usage. The investigated electricity consumption time series profiling approach will add empirical understanding of the problem domain to the related research community and to the future practice of the energy industry.

Human-Centered Design in Mobile Application Development: Emerging Methods

Abstract: Mobile platforms e.g., Google Android, Apple iOS and their closely integrated app stores transformed the mobile industry and opened the market for mobile application developers. Consequently, applications for smartphones quickly soared to phenomena levels. As mobile technology continues to evolve and shape human interaction with technology, human-centered design HCD methods adapt to the capabilities of technology and to the needs of mobile application development. This study presents a preliminary review of 79 research papers on the practice of HCD in mobile application development for the smartphone touch era. The aim of the study is to highlight emerging methods and their implications for mobile application development. The methods discovered by this study assist mobile application developers to better understand their target users. Further research is needed, particularly in exploring what user research and evaluation methods are the most effective in the context of mobile application development.