Monitoring Collective Intelligence in Lithuania’s Online Communities

This paper presents the findings of a systematic survey that evaluated the potential of online communities (or Civic Tech) in Lithuania to co-create collective intelligence. Traditional approaches to public engagement remain relevant, notwithstanding, our enquiry is more interested in the growing potential of digital-enabled citizens to increase efficient collective performance. Civic intelligence is a form of collective intelligence exercised by a group’s capacity to perceive societal problems and its ability to address them effectively. The subject of the research is “bottom up” digital-enabled online platforms initiated by Lithuanian public organizations, civic movements and/or business entities. This scientific project advances our understanding about the basic preconditions in online communities through which collective intelligence is being systematically co-created. By monitoring the performance of Civic Tech platforms, the scientific question was examined, what are the socio-technological conditions that led the communities to become more intelligent. The results of web-based monitoring were obtained by applying Collective intelligence Monitoring technique and Pearson correlation analysis. This provided information about the potential and limits of online communities, and what changes may be needed to overcome such limitations

Business Intelligence & Analytics Cost Accounting: A Survey on the Perceptions of Stakeholders

As data driven decision-making using business intelligence and analytics (BI&A) becomes standard in companies, the importance of mitigating the accompanying growth in costs increases. Research shows that increasing transparency to the granularity of individual BI&A artefacts such as reports or analytic applications is a necessary means, but in practice the introduction of said systems is cumbersome and adoption is slow. We address the status quo of BI&A cost accounting for three types of stakeholders: users, developers and managers. The results show in which areas of application a strong need for action exists and we identify major challenges for further research are ahead. Our findings indicate for example that managers at the same time regard cost accounting for BI&A with a higher potential benefit while they also believe they have already established a higher degree of implementation in their enterprises compared to the other stakeholder types. We conclude that BI&A professionals have to consider these different perceptions to run a successful department and gain traction for BI&A cost accounting

Big Data Management in Maritime Transport

As maritime transport produces a large amount of data from various sources and in different formats, authors have analysed current applications of Big Data by researching global applications and experiences and by studying journal and conference articles. Big Data innovations in maritime transport (both cargo and passenger) are demonstrated, mainly in the fields of seaport operations, weather routing, monitoring/tracking and security. After the analysis, the authors have concluded that Big Data analyses can provide deep understanding of causalities and correlations in maritime transport, thus improving decision making. However, there exist major challenges of an efficient data collection and processing in maritime transport, such as technology challenges, challenges due to competitive conditions etc. Finally, the authors provide a future perspective of Big Data usage in maritime transport

Digital Service: Technological Agency in Service Systems

This paper defines digital service in the context of technologically enhanced value co-creation between service system entities. Progress in digitalization and Artificial Intelligence (AI) is increasing the relative share of technologically enhanced value co-creation between service system entities (e.g., people, companies, nations). Highly automated technical systems increasingly act as autonomous agents, on behalf of service providers, in value co-creation interactions with the system users. Sufficient conceptualization, abstractions and modeling paradigms for research and development of this type of value co-creation are absent from the literature and introduced in this paper. The main contribution of the paper is introduction and definition of digital service and digital service membrane as fundamental concepts in service science and service systems, with directions for future research on the topic

Identifying the drivers of blockchain adoption within supply chains

Dissertation presented as the partial requirement for obtaining a Master's degree in Data Science and Advanced AnalyticsIn order to understand the applicability of blockchain technology to Supply Chains, this thesis intends to deliver insights on its adoption with a two-part study, that combines a literature review and a theoretical framework where adoption drivers are identified. The approach consists on the research and review of all available publications published within the AISNET’s basket of eight journals on the topic Blockchain and a list of selected top IS conferences, with the utilization of a unique interpretation framework and focus on the avenues of research provided by these articles, gathering information in order to create discussion debates, grouped by the unit of analysis identified, within Supply Chain. Following the Design Science Research (DSR) methodology and focusing on defining, validating and reducing a myriad of factors, derived from the literature review, with the aid of experts on both blockchain and supply chain fields, through means of questionnaires, factors were rated and refuted according to the relevance given. Two rounds narrowed the results, and upon consensus 9 drivers were identified fitting under two categories: Challenges and Incentives. Overall, providing academics with a theoretical framework that combines existing literature into a set of drivers, and providing insights to vendors on how their reputation may influence clients' adoption, whilst fulfilling a literature gap in the supply chain area