Outputs (25)

Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal (2018)
Journal Article
Warner, K. S., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326-349. https://doi.org/10.1016/j.lrp.2018.12.001

In this qualitative study, we explore how incumbent firms in traditional industries build dynamic capabilities for digital transformation. Digital transformation has been defined as the use of new digital technologies, such as mobile, artificial inte... Read More about Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal.

NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification (2018)
Journal Article
Yazdania, S., Tan, Z., Kakavand, M., & Lau, S. (2022). NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification. Wireless Networks, 28(3), 1251-1261. https://doi.org/10.1007/s11276-018-01909-0

Research in financial domain has shown that sentiment aspects of stock news have a profound impact on volume trades, volatility, stock prices and firm earnings. With the ever growing social inetworking and online marketing sites, the reviews obtained... Read More about NgramPOS: A Bigram-based Linguistic and Statistical Feature Process Model for Unstructured Text Classification.

Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems (2018)
Journal Article
Andras, P., Esterle, L., Guckert, M., Anh Han, T., Lewis, P. R., Milanovic, K., Payne, T., Perret, C., Pitt, J., Powers, S. T., Urquhart, N., & Wells, S. (2018). Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems. IEEE technology & society magazine, 37(4), 76-83. https://doi.org/10.1109/MTS.2018.2876107

Intelligent machines have reached capabilities that go beyond a level that a human being can fully comprehend without sufficiently detailed understanding of the underlying mechanisms. The choice of moves in the game Go (generated by Deep Mind?s Alpha... Read More about Trusting Intelligent Machines: Deepening Trust Within Socio-Technical Systems.

Interference graphs to monitor and control schedules in low-power WPAN (2018)
Journal Article
van der Lee, T., Liotta, A., & Exarchakos, G. (2019). Interference graphs to monitor and control schedules in low-power WPAN. Future Generation Computer Systems, 93, 111-120. https://doi.org/10.1016/j.future.2018.10.014

Highlights
• This study presents the complete and slotted interference graph model.
• The service uses the complete interference graph to evaluate the network.
• Slotted interference graphs are used to reschedule problematic connections.
• Rea... Read More about Interference graphs to monitor and control schedules in low-power WPAN.

Cross-modality interactive attention network for multispectral pedestrian detection (2018)
Journal Article
Zhang, L., Liu, Z., Zhang, S., Yang, X., Qiao, H., Huang, K., & Hussain, A. (2019). Cross-modality interactive attention network for multispectral pedestrian detection. Information Fusion, 50, 20-29. https://doi.org/10.1016/j.inffus.2018.09.015

Multispectral pedestrian detection is an emerging solution with great promise in many around-the-clock applications, such as automotive driving and security surveillance. To exploit the complementary nature and remedy contradictory appearance between... Read More about Cross-modality interactive attention network for multispectral pedestrian detection.

Combining Co-Citation Clustering and Text-Based Analysis to Reveal the Main Development Paths of Smart Cities (2018)
Journal Article
Mora, L., Deakin, M., & Reid, A. (2019). Combining Co-Citation Clustering and Text-Based Analysis to Reveal the Main Development Paths of Smart Cities. Technological Forecasting and Social Change, 142, 56-69. https://doi.org/10.1016/j.techfore.2018.07.019

Bibliometrics is a powerful tool for analyzing knowledge domains and revealing their cognitive-epistemological structure. Different mathematical models and statistical techniques have been proposed and tested to carry out bibliometric analyses and de... Read More about Combining Co-Citation Clustering and Text-Based Analysis to Reveal the Main Development Paths of Smart Cities.

Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science (2018)
Journal Article
Mocanu, D. C., Mocanu, E., Stone, P., Nguyen, P. H., Gibescu, M., & Liotta, A. (2018). Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science. Nature Communications, 9(1), Article 2383. https://doi.org/10.1038/s41467-018-04316-3

Through the success of deep learning in various domains, artificial neural networks are currently among the most used artificial intelligence methods. Taking inspiration from the network properties of biological neural networks (e.g. sparsity, scale-... Read More about Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science.

Securing Cloud Hypervisors: A Survey of the Threats, Vulnerabilities, and Countermeasures (2018)
Journal Article
Barrowclough, J. P., & Asif, R. (2018). Securing Cloud Hypervisors: A Survey of the Threats, Vulnerabilities, and Countermeasures. Security and Communication Networks, 2018, 1-20. https://doi.org/10.1155/2018/1681908

The exponential rise of the cloud computing paradigm has led to the cybersecurity concerns, taking into account the fact that the resources are shared and mediated by a ‘hypervisor’ that may be attacked and user data can be compromised or hacked. In... Read More about Securing Cloud Hypervisors: A Survey of the Threats, Vulnerabilities, and Countermeasures.

An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0 (2018)
Journal Article
Pace, P., Aloi, G., Gravina, R., Caliciuri, G., Fortino, G., & Liotta, A. (2019). An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0. IEEE Transactions on Industrial Informatics, 15(1), 481-489. https://doi.org/10.1109/tii.2018.2843169

Edge computing paradigm has attracted many interests in the last few years as a valid alternative to the standard cloud-based approaches to reduce the interaction timing and the huge amount of data coming from Internet of Things (IoT) devices toward... Read More about An Edge-Based Architecture to Support Efficient Applications for Healthcare Industry 4.0.

Using Knowledge Organization Systems to automatically detect forward-looking sentiment in company reports to infer social phenomena. (2018)
Journal Article
Cleverley, P., & Muir, L. (2018). Using Knowledge Organization Systems to automatically detect forward-looking sentiment in company reports to infer social phenomena. Knowledge Organization, 45(2), 152-169. https://doi.org/10.5771/0943-7444-2018-2-152

The study investigates whether existing Knowledge Organization Systems (KOS) for strong and hesitant forward-looking sentiment could be improved to detect social phenomena.
Five judges identified examples of strong/hesitant forward-looking sentiment... Read More about Using Knowledge Organization Systems to automatically detect forward-looking sentiment in company reports to infer social phenomena..

Tacit knowledge sharing in online environments: locating ‘Ba’ within a platform for public sector professionals (2018)
Journal Article
Buunk, I., Smith, C. F., & Hall, H. (2019). Tacit knowledge sharing in online environments: locating ‘Ba’ within a platform for public sector professionals. Journal of Librarianship and Information Science, 51(4), 1134-1145. https://doi.org/10.1177/0961000618769982

Presented in this article are some findings from a study which investigates tacit knowledge sharing and social media use. The results reported here derive from a survey completed by members of an online platform that incorporates social media feature... Read More about Tacit knowledge sharing in online environments: locating ‘Ba’ within a platform for public sector professionals.

Youth digital participation: Measuring social impact (2018)
Journal Article
Pawluczuk, A., Webster, G., Hall, H., & Smith, C. (2020). Youth digital participation: Measuring social impact. Journal of Librarianship and Information Science, 52(1), 3-15. https://doi.org/10.1177/0961000618769975

Current scholarly debate around digital participatory youth projects and approaches to their evaluation are examined in this article. The analysis of the literature presented here reveals (1) an over-reliance on traditional evaluation techniques for... Read More about Youth digital participation: Measuring social impact.

UK public library roles and value: a focus group analysis (2018)
Journal Article
Appleton, L., Hall, H., Duff, A., & Raeside, R. (2018). UK public library roles and value: a focus group analysis. Journal of Librarianship and Information Science, 50(3), 275-283

Findings from a study of the advantages and disadvantages accrued by individuals from their public library use, and the impact of this on citizenship at individual and community levels, are presented. The analysis of longitudinal focus group data col... Read More about UK public library roles and value: a focus group analysis.

Blurred reputations: Managing professional and private information online (2018)
Journal Article
Ryan, F. V., Cruickshank, P., Hall, H., & Lawson, A. (2020). Blurred reputations: Managing professional and private information online. Journal of Librarianship and Information Science, 52(1), 16-26. https://doi.org/10.1177/0961000618769977

Results are reported from a study that investigated patterns of information behaviour and use as related to personal reputation building and management in online environments. An everyday life information seeking (ELIS) perspective was adopted. Data... Read More about Blurred reputations: Managing professional and private information online.

Applications and applicability of Social Cognitive Theory in Information Science research (2018)
Journal Article
Middleton, L., Hall, H., & Raeside, R. (2019). Applications and applicability of Social Cognitive Theory in Information Science research. Journal of Librarianship and Information Science, 51(4), 927-937. https://doi.org/10.1177/0961000618769985

Social Cognitive Theory (SCT) is a theory that derives from Psychology, yet has been adopted in other interdisciplinary subject areas, including Information Science. The origins and key concepts of SCT are presented, and the value of SCT’s contributi... Read More about Applications and applicability of Social Cognitive Theory in Information Science research.

Job search information behaviours: An ego-net study of networking amongst young job-seekers (2018)
Journal Article
Mowbray, J., Hall, H., Raeside, R., & Robertson, P. J. (2018). Job search information behaviours: An ego-net study of networking amongst young job-seekers. Journal of Librarianship and Information Science, 50(3), 239-253. https://doi.org/10.1177/0961000618769965

Networking is considered an integral feature of job search, yet its behavioural manifestation has received little attention in the extant literature. Here this is addressed in a study of young job-seekers that adopted an egocentric network approach u... Read More about Job search information behaviours: An ego-net study of networking amongst young job-seekers.

On-Line Building Energy Optimization Using Deep Reinforcement Learning (2018)
Journal Article
Mocanu, E., Mocanu, D. C., Nguyen, P. H., Liotta, A., Webber, M. E., Gibescu, M., & Slootweg, J. G. (2019). On-Line Building Energy Optimization Using Deep Reinforcement Learning. IEEE Transactions on Smart Grid, 10(4), 3698-3708. https://doi.org/10.1109/tsg.2018.2834219

Unprecedented high volumes of data are becoming available with the growth of the advanced metering infrastructure. These are expected to benefit planning and operation of the future power systems and to help customers transition from a passive to an... Read More about On-Line Building Energy Optimization Using Deep Reinforcement Learning.

Practices of community representatives in exploiting information channels for citizen democratic engagement (2018)
Journal Article
Hall, H., Cruickshank, P., & Ryan, B. (2019). Practices of community representatives in exploiting information channels for citizen democratic engagement. Journal of Librarianship and Information Science, 51(4), 950-961. https://doi.org/10.1177/0961000618769966

The purpose of the research was to investigate the practices of elected, yet unpaid, community councillors in Scotland as they exploit information channels for democratic engagement with citizens. Its focus is both novel and significant in that it co... Read More about Practices of community representatives in exploiting information channels for citizen democratic engagement.

A Review of Predictive Quality of Experience Management in Video Streaming Services (2018)
Journal Article
Torres Vega, M., Perra, C., De Turck, F., & Liotta, A. (2018). A Review of Predictive Quality of Experience Management in Video Streaming Services. IEEE Transactions on Broadcasting, 64(2), 432-445. https://doi.org/10.1109/tbc.2018.2822869

Satisfying the requirements of devices and users of online video streaming services is a challenging task. It requires not only managing the network quality of service but also to exert real-time control, addressing the user's quality of experience (... Read More about A Review of Predictive Quality of Experience Management in Video Streaming Services.

Bleeding Edge, Neo-Liberalism, and the 9/11 Novel. (2018)
Journal Article
Keeble, A. (2019). Bleeding Edge, Neo-Liberalism, and the 9/11 Novel. Canadian Review of American Studies, 1-22. https://doi.org/10.3138/cras.2017.028

This article argues that Thomas Pynchon’s Bleeding Edge (2013)
can be read within the canon of 9/11 novels in unexpected and productive ways. Its rich, intertwined narrative of the Internet and 9/11 both echoes early 9/11 novels and departs from the... Read More about Bleeding Edge, Neo-Liberalism, and the 9/11 Novel..