The dark side of information technology use

A large body of research has considered the positive aspects of information technology (IT) use. However, emerging research and practice commentary is beginning to focus on complex and often alarming ways in which use of IT affects organisational and social life. This Special Issue focuses on these ‘dark’ effects of IT use.     

Robust real-time pattern matching using bayesian sequential hypothesis testing

This paper describes a method for robust real time pattern matching. We first introduce a family of image distance measures, the "Image Hamming Distance Family". Members of this family are robust to occlusion, small geometrical transforms, light changes and non-rigid deformations. We then present a novel Bayesian framework for sequential hypothesis testing on finite populations. Based on this framework, we design an optimal rejection/acceptance sampling algorithm. This algorithm quickly determines whether two images are similar with respect to a member of the Image Hamming Distance Family. We also present a fast framework that designs a near-optimal sampling algorithm. Extensive experimental results show that the sequential sampling algorithm performance is excellent. Implemented on a Pentium 4 3 GHz processor, detection of a pattern with 2197 pixels, in 640 x 480 pixel frames, where in each frame the pattern rotated and was highly occluded, proceeds at only 0.022 seconds per frame.     

User acceptance of hedonic digital artifacts: A theory of consumption values perspective

Hedonic digital artifacts have become prevalent in today's society. Their users typically pay for them, and in exchange are generally provided with benefits involving enjoyment. Today's research on technology adoption and use, though, has focused mostly on organizational or personal aids that provide efficiency and effectiveness and are free of charge for users. To bridge this gap, we identified several value drivers of hedonic digital artifacts and measured them in the context of mobile phone ringtones using the theory of consumption values. Hypothesis testing was performed using PLS on data collected from 422 ringtone users. Results confirmed that the overall value of hedonic digital artifacts is a third-order composite assessment, which successfully predicted behavioral usage and positive word-of-mouth intentions. Theoretical and practical implications were discussed.     

Should I e-collaborate with this group? A multilevel model of usage intentions

The use of online collaboration tools for virtual teamwork has been studied extensively, but mainly at the individual-level. We decided to examine the effect of macro-level factors (i.e., team attributes) and applied hierarchical linear modeling analysis to a sample of data collected from 96 individuals nested in 34 virtual teams. Our results suggested that the development of behavioral e-collaboration intentions by individual virtual team members was affected by their perceptions about the system, as described by individual-level IT use theories, and macro-level factors pertaining to the team. The collaboration technology was perceived to be less useful when employed to communicate with social loafers; and collective social loafing negatively influenced the teams’ potency assessments. After controlling for individual-level perceptions of system usefulness, team potency augmented team members’ intentions to use the online collaboration technology with similar teams. It also improved team performance.     

Untangling the complex role of guilt in rational decisions to discontinue the use of a hedonic Information System

The discontinuance of the use of hedonic information systems (IS) has become somewhat prevalent. Nevertheless, little is known about why some individuals might decide to discontinue using a technology which they often use frequently and the use of which is typically intrinsically rewarding. Prior research has alluded to the ideas that (1) IS discontinuance merits its own theorizing, possibly separate from continuance and that (2) guilt feelings is a unique driver of IS discontinuance decisions. However, the literature still lacks cohesive models that explain discontinuance and especially the complex processes through which guilt influences such decisions, and perhaps that further illuminate differences between the processes underlying IS discontinuance and continuance. This study bridges these gaps and proposes and examines a model that explicates the complex effects of guilt and theory of planned behavior (TPB) predictors on the discontinuance of an instance of mostly hedonic IS, namely Social Networking Sites (SNS). In order to develop this model it is proposed that guilt, which is a self-reflective moral emotion that can influence cognition, is associated with attitudinal, normative, and control perceptions regarding the discontinuance act in a complex network of partial-mediation and moderation effects. The proposed model was tested and largely validated with structural equation modeling applied to data collected from 487 SNS users. It also pointed to possible unique features of the TPB as applied to IS discontinuance. Applicability checks further illuminated sources of guilt in this context. Decomposing the guilt effects on discontinuance and integrating them with the TPB is important since it not only extends theory both in IS and social sciences and hints at differences in planned behavior processes between IS continuance and discontinuance, but also because the findings point to mechanisms which can be used for attenuating guilt and planned behavior effects on IS discontinuance. Overall, this study validates a rationale-based theory of IS discontinuance, and can serve as a platform for further studying this notable, yet under-examined corrective behavior.     

Board-Level Information Technology Governance Effects on Organizational Performance: The Roles of Strategic Alignment and Authoritarian Governance Style

ABSTRACT

We report on two empirical studies that explore key factors that help translate information technology governance by the board of directors into organizational performance. The first study shows that strategic alignment partially mediates the effect of board-level information technology governance on performance. The second study demonstrates that authoritarian governance style negatively moderates the effect of board-level information technology governance on performance. Together, these studies open up the black box between board-level information technology governance and organizational performance.     

Chemical Element Profiling in the Sera and Brain of Bipolar Disorders Patients and Healthy Controls

Bipolar Disorder (BD) is a severe recurrent affective mood disorder characterized by a wide range of lifelong mood swings, varying between depressive and manic states. BD affects more than 1% of the world’s population irrespective of nationality, ethnic origin, or socioeconomic status and is one of the main causes of disability among young people, leading to cognitive and functional impairment and raised mortality, particularly death by suicide. Trace elements play a vital role in many biochemical and physiological processes. Compelling evidence shows that element toxicity might play a crucial role in the onset and progression of neurodegenerative disorders, but their involvement in mood disorders has been scarcely studied. In the present investigation, we determined the concentration of 26 elements in the serum of BD patients before and after treatment and in postmortem brain samples from BD patients and compared them with matched controls. The only element that was reduced significantly in the serum following treatment was vanadium (V). Furthermore, the concentration of Al, B, Cu, K, Mg and V were significantly lower in the pre-frontal cortex of BD patients compared with those of the controls. A comparison of Spearman’s rank correlation coefficients between the elements in the serum and brain of BD patients and control groups pointed to boron and aluminum as being involved in the disease. These results suggest that there is a disturbance in the elements’ homeostasis and the inter-elements’ relationship in the brain of BD patients and advocate a thorough examination of the possible involvement of chemical elements in different stages of the disease.     

Design and Analysis of Experiments on Nonconvex Regions

Modeling a response over a nonconvex design region is a common problem in diverse areas such as engineering and geophysics. The tools available to model and design for such responses are limited and have received little attention. We propose a new method for selecting design points over nonconvex regions that is based on the application of multidimensional scaling to the geodesic distance. Optimal designs for prediction are described, with special emphasis on Gaussian process models, followed by a simulation study and an application in glaciology. Supplementary materials for this article are available online.