| 1. |
- Alaceva, Carolina, et al.
(författare)
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Barriers in achieving business/IT alignment in a large Swedish company : What we have learned?
- 2015
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Ingår i: Computers in human behavior. - : Elsevier BV. - 0747-5632 .- 1873-7692. ; 51, s. 715-728
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Tidskriftsartikel (refereegranskat)abstract
- There are still many organizations that face difficulties in achieving business/IT alignment. Prior research has focused on the positive impact of alignment on overall business performance, while the barriers in achieving business/IT alignment were largely unexplored, especially in regards to the social dimension that refers to the people involved in alignment. Therefore this research is focusing on identifying and investigating the barriers that inhibit achieving social dimension of business/IT alignment in large organizations. A case study is conducted in one of the largest Swedish companies. The data is collected through seven semi-structured interviews, field-notes and the use of company's documents that were thematically analyzed. The research presents a unique case of 19 business/IT alignment barriers of social dimension that have been limited so far and which contribute to the business/IT alignment field. The main findings showed that low understanding of counterpart's environment; poor communication; unclear specifications; limited cooperation and lack of mutual commitment and support inhibits the achievement of alignment between business and IT domains on the social dimension. The results could support the researchers to further elaborate frameworks on how to mitigate social barriers in order to achieve a better business/IT alignment. Besides, the discussed barriers can be of practical use for other organizations trying to achieve business/IT alignment with a focus on the social dimension.
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| 2. |
- Alfonsson, Sven, et al.
(författare)
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Is online treatment adherence affected by presentation and therapist support? : A randomized controlled trial
- 2016
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Ingår i: Computers in human behavior. - : Elsevier BV. - 0747-5632 .- 1873-7692. ; 60, s. 550-558
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Tidskriftsartikel (refereegranskat)abstract
- In both face to face and Internet based Cognitive Behavior Therapy, patients' adherence can be improved by different means such as by using motivational techniques or automatic reminders. The main aim of this study was to investigate whether enriched treatment material presentation and/or increased frequency and quality of support would increase participants' adherence to an online relaxation program. One hundred and sixty-two participants with mild to moderate symptoms of stress or worry were included in this study. Participants were randomized to either Normal or Enhanced intervention presentation and Normal or Enhanced support in a full factorial design. Main outcome variables were progress through the online intervention and adherence to prescribed exercises. Participants in the Enhanced support group progressed further through the program than participants in the Normal support group (Z = 2.11, p = .035, r = .17) but there were no significant differences found between the Normal and Enhanced presentation groups. Participants registered a mean of 60% of the prescribed exercises with no significant differences between groups. This study shows that adherence to online interventions can be increased by increased frequency and quality of therapeutic contact. Future studies may investigate how to increase adherence to prescribed homework assignments and whether parts of the therapeutic support may be substituted with automatic systems with retained effects.
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| 3. |
- Andersson, Gerhard, 1966-, et al.
(författare)
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Predicting treatment outcome in Internet versus face to face treatment of panic disorder
- 2008
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Ingår i: Computers in human behavior. - : Elsevier BV. - 0747-5632 .- 1873-7692. ; 24:5, s. 1790-1801
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Tidskriftsartikel (refereegranskat)abstract
- With the advent of guided self-help via the Internet it has become increasingly important to investigate predictors of treatment outcome. The present study analyzed predictors of outcome using data from a randomized controlled trial on panic disorder [Carlbring, P. et al. (2005). Treatment of panic disorder: Live therapy versus self-help via Internet. Behaviour Research and Therapy, 43, 1321-1333]. Half of the sample received therapist guided Internet treatment (N = 25) and the other half face to face treatment (N = 24) in individual sessions during a 10-week study period. Results showed that agoraphobic avoidance was predictive of outcome in the face to face treatment, but not in the Internet treatment. A self-report screening of personality disorder (anxious cluster) was associated with worse outcome for the Internet treatment, but surprisingly associated with better outcome in face to face treatment. Cognitive capacity as measured by a test of verbal fluency was not predictive of outcome in the Internet group, and neither was a rating of treatment credibility. Overall, we conclude that in relation to face to face treatment different predictors of outcome should be investigated for Internet treatment. Internet treatment might be more suitable for certain clients who might benefit from remote treatment in the early phase of treatment.
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| 4. |
- Aramo-Immonen, Heli, 1964-, et al.
(författare)
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Exploring co-learning behavior of conference participants with visual network analysis of Twitter data
- 2015
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Ingår i: Computers in human behavior. - : Pergamon Press. - 0747-5632 .- 1873-7692. ; 51:B, s. 1154-1162
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Tidskriftsartikel (refereegranskat)abstract
- Knowledge management has acknowledged organizational learning as a key factor for creating competitive advantage for companies already from early 1990. However, the studies of co-learning in this connection are in their infancy. This article contributes to an emerging field of 'smart data' research on Twitter by presenting a case study of how community managers in Finland used this social media platform to construct a co-learning environment around an annually organized conference. In this empirical study we explore the co-learning behavior in project contexts especially by analyzing and visualizing co-learning behavior from conference participants Twitter data.
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| 5. |
- Aramo-Immonen, Heli, 1964-, et al.
(författare)
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Visualizing informal learning behavior from conference participants' Twitter data with the Ostinato Model
- 2016
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Ingår i: Computers in human behavior. - : Elsevier. - 0747-5632 .- 1873-7692. ; 55, s. 584-595
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Tidskriftsartikel (refereegranskat)abstract
- Network analysis is a valuable method for investigating and mapping the phenomena driving the social structure and sharing the findings with others. This article contributes to an emerging field of 'smart data' research on Twitter by presenting a case study of how community managers in Finland used this social media platform to construct an informal learning environment around an annually organized conference. In this empirical study we explore informal learning behavior in the project context, especially by analyzing and visualizing informal learning behavior from Twitter data using the Ostinato Model introduced in this paper. Ostinato is an iterative, user-centric, process-automated model for data-driven visual network analytics.
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| 6. |
- Atif, Yacine, 1967-
(författare)
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Conversational learning integration in technology enhanced classrooms
- 2013
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Ingår i: Computers in human behavior. - : Elsevier BV. - 0747-5632 .- 1873-7692. ; 29:2, s. 416-423
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Tidskriftsartikel (refereegranskat)abstract
- Today’s college students have grown up with technology. These digital natives typically gravitate toward group activities in technology embedded social contexts. However, despite this multidimensional evolution, little has changed in conventional classrooms where they build their education experience. We investigate learning models in a classroom environment which still remains the main driver of education today. We describe a conversational learning model based on group activities which involve multi-party conversations. We implement this model in a technology-enhanced studio-classroom to “visualize” conversations which otherwise would remain abstract to learners. Teachers are empowered with instructional patterns to guide their changing role in this novel classroom environment. Based on standard assessment indicators, we conduct an experimental analysis which results show interesting tradeoffs of learning performance that favor the proposed conversational learning approach compared to those obtained from conventional instruction.
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| 7. |
- Barreiro-Gen, Maria, et al.
(författare)
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Collaborative learning in environments with restricted access to the internet : Policies to bridge the digital divide and exclusion in prisons through the development of the skills of inmates
- 2015
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Ingår i: Computers in human behavior. - : Elsevier. - 0747-5632 .- 1873-7692. ; 51:B, s. 1172-1176
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Tidskriftsartikel (refereegranskat)abstract
- The deprivation of freedom for the prisoners, involves not only physical isolation, but also digital, which implies a strong isolation particularly painful in an “information society”. Spanish prison population is deprived of access Internet and all ICT that could contact inmates with outdoor life, this is mainly due to security issues. Not having enough ICT skills is a new cause of social exclusion. The objective of this research was to identify the key issues which should be focused by policy makers to avoid digital divide among prison population. A survey among inmate population in all the five penitentiary centers in Galicia, in the northwest of Spain, was undertaken to obtain a sample of 380 inmates. A Structural Equation Model (SEM) was carried out to explain prisoners’ ICT Skills, in bias to inmate’s social skills, general skills and attitude towards collaborative learning. For inmates, who are characterized by their low education level, results shown the relevance of having general and social skills to be able to have more ICT skills. Then, collaborative learning in prison it is shown as a way to bridge both walls: the physical (better reinsertion and no recidivism) and the digital one.
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| 8. |
- Beckman, Linda, et al.
(författare)
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Discrepant gender patterns for cyberbullying and traditional bullying : An analysis of Swedish adolescent data
- 2013
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Ingår i: Computers in human behavior. - : Elsevier. - 0747-5632 .- 1873-7692. ; 29:5, s. 1896-1903
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Tidskriftsartikel (refereegranskat)abstract
- In the wake of the rapid development of modern IT technology, cyberspace bullying has emerged among adolescents. The aim of the present study was to examine gender differences among adolescents involved in traditional bullying and cyberbullying. Cross-sectional data from 2989 Swedish students aged 13–15 were analyzed using logistic regression analysis. The results show discrepant gender patterns of involvement in traditional bullying and cyberbullying. First, although there were only minimal gender differences among traditional victims, girls are more likely than boys to be cybervictims when occasional cyberbullying is used as a cut-off point. Second, whereas boys are more likely to be traditional bullies, girls are as likely as boys to be cyberbullies. In conclusion, compared to traditional bullying, girls are generally more involved in cyberbullying relative to boys. We discuss these results in the light of adolescents’ usage of computerized devices.
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| 9. |
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| 10. |
- Böttcher, Johanna, et al.
(författare)
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Adding a smartphone app to internet-based self-help for social anxiety : A randomized controlled trial
- 2018
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Ingår i: Computers in human behavior. - : Elsevier BV. - 0747-5632 .- 1873-7692. ; 87, s. 98-108
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Tidskriftsartikel (refereegranskat)abstract
- Background: Increasing access to treatment via smartphone apps is an important topic in Social Anxiety Disorder (SAD). ‘Challenger’ is an app promoting exposure exercises in daily life. The present study evaluated the additional benefit of using the app as adjunct to Internet-based unguided self-help for SAD. In a second step, we also tested how the app and the self-help programme (SH) should best be combined.Method: 209 patients diagnosed with SAD were randomly allocated to three groups. Group 1 received the app and the self-help programme for six weeks (parallel treatment), group 2 first received SH for six weeks and then the app for six weeks (sequential treatment). Group 3 was a wait-list group. Comparisons were made at week 7 evaluating the potential add-on effect of the app (SH plus app versus SH only) and at week 14 comparing the parallel to the sequential treatment. Participants filled in questionnaires prior, during, and post treatment, and at 4- and 12- months follow-up.Results: Intention-to-treat analyses showed no significant effect of adding the app to Internet-based self-help. However, among participants actively using the app, adding Challenger to self-help resulted in significantly less social anxiety (d = 0.30). At week 14, decreases in social anxiety were large for both the parallel and the sequential group with no differences between the active groups (dwithin = 1.12–1.19). Changes were maintained throughout the follow-up period.Conclusion: Results of the current study cautiously support the notion of adding a smartphone app to unguided self-help for SAD. Future studies should investigate how patients can be motivated to use the app more frequently.
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