Data science empowering the public: Data-driven dashboards for transparent and accountable decision-making in smart cities

Matheus, Ricardo; Janssen, Marijn; Maheshwari, Devender

doi:10.1016/j.giq.2018.01.006

Cited by 228 publications

(161 citation statements)

References 22 publications

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“…Their findings show that organizations need to go beyond their common data-driven design approaches, improve users' ability to interpret data and use it to take decision-driven approaches. Similar approaches have been proposed in the public sector (Matheus et al 2018), where helping governments to understand big and open data through data-driven dashboards can help decision-driven processes and improve the relation among citizens with governments.…”

mentioning

confidence: 97%

Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies

Pappas

Mikalef

Giannakos

et al. 2018

Inf Syst E-Bus Manage

321

188

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The digitalization process and its outcomes in the 21st century accelerate transformation and the creation of sustainable societies. Our decisions, actions and even existence in the digital world generate data, which offer tremendous opportunities for revising current business methods and practices, thus there is a critical need for novel theories embracing big data analytics ecosystems. Building upon the rapidly developing research on digital technologies and the strengths that information systems discipline brings in the area, we conceptualize big data and business analytics ecosystems and propose a model that portraits how big data and business analytics ecosystems can pave the way towards digital transformation and sustainable societies, that is the Digital Transformation and Sustainability (DTS) model. This editorial discusses that in order to reach digital transformation and the creation of sustainable societies, first, none of the actors in the society can be seen in isolation, instead we need to improve our understanding of their interactions and interrelations that lead to knowledge, innovation, and value creation. Second, we gain deeper insight on which capabilities need to be developed to harness the potential of big data analytics. Our suggestions in this paper, coupled with the five research contributions included in the special issue, seek to offer a broader foundation for paving the way towards digital transformation and sustainable societies

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mentioning

confidence: 97%

Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies

Pappas

Mikalef

Giannakos

et al. 2018

Inf Syst E-Bus Manage

321

188

View full text Add to dashboard Cite

show abstract

“…However, this issue does not concern only the Greek economic system. In many European Union countries, we can already identify similar mechanisms which track the changes and developments in labor markets, having as an ultimate goal the provision of timely information related to the implemented changes, towards all involved stakeholders and involved parties in the function of labor markets (Rihova, 2016; Matheus et al 2018).…”

Section: Aim and Targetsmentioning

confidence: 99%

Correlating horizontal skills with job specializations based on business sector dynamics in the regional labor markets. The case of Attica region, Greece

Staboulis

Tsirikas

Katsaros³

2019

Development Management

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The correlation of horizontal skills and vocational specializations is a major challenge for regional employment policies and national economies. This is because this specific type of correlation is capable of shaping the vocational training model as well as the educational system at a higher level (universities) based on the business sector dynamics. The purpose of the article is to explore the correlation of horizontal skills and job specializations based on the business sector dynamics in Attica region, Greece. To achieve that, both quantitative and qualitative approaches were used. In terms of the quantitative research, a field research was conducted to collect primary data on a sample of companies the needs for horizontal skills and one-digit (ISCO-Codes) specializations are explored and recorded. Emphasis was placed on the recording of vacancies as well as jobs that are difficult to be filled-in in the Attica region; their quantitative and qualitative characteristics were also analyzed. The results of the quantitative analysis are confirmed by the qualitative research findings, following the logic of the triangulation research methodology. Triangulation was originally proposed in social sciences to increase the credibility and validity of research findings. In other words, it is the use of more than one research techniques in the study of the same research field, each used to verify the results of the other. The methodology used in this research is innovative due to the use of geographic information systems (GIS).

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“…FACETS | 2019 | 4: 131-135 | DOI: 10.1139/facets-2019-0005 132 facetsjournal.com the extremely diverse range of its applications including work in cyber security (e.g., Buczak and Guven 2016), health care (e.g., Spruit and Lytras 2018), finance (e.g., Giudici 2018), and public policy (e.g., Matheus et al 2018).…”

Section: Mcnicholasmentioning

confidence: 99%

Data science

McNicholas

2019

FACETS

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FACETS is introducing a Data Science section as a platform to facilitate the dissemination of high-quality research focused on data. Given the explosion of data, and new data types, across virtually all areas of research endeavour in recent years, this is the right time for such a platform to emerge. Furthermore, considering the inherently interdisciplinary nature of data science, FACETS is the right venue. The assembled team of Subject Editors for the Data Science section gives excellent coverage of both theoretical and applied aspects of data science.

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Data science empowering the public: Data-driven dashboards for transparent and accountable decision-making in smart cities

Cited by 228 publications

References 22 publications

Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies

Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies

Correlating horizontal skills with job specializations based on business sector dynamics in the regional labor markets. The case of Attica region, Greece

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