Program session detail

September 11, 2023
Model for Calculating Cost of Applying Electronic Governance and Robotic Process Automation to a Distributed Management System

Saurabh Pahune and Bonny Banerjee

Electronic Governance (eGov) and Robotic Process Automa- tion (RPA) are two technological advancements that have the potential to revolutionize the way organizations manage their operations. When applied to Distributed Management (DM), these technologies can further enhance organizational efficiency and effectiveness. In this brief article, we explore a mathematical model for calculating the cost of accomplish- ing a task by applying eGov and RPA in a DM system. This model is one of the first of its kind, and is expected to spark further research on cost analysis for organizational efficiency given the unprecedented advancements in electronic and automation technologies.
Digital Transformation of the Government and from the Government: Efforts to Strengthen the Digital Ecosystem of Colombia

Astrid Jaime, Mariutsi Alexandra Osorio-Sanabria and Gina Maestre-Gongora

Digital transformation has been gaining momentum during the past years. Although this field encompasses several aspects, we are interested in the digital transformation of government institutions. In particular, the efforts made by the Colombian government to strengthen the digital ecosystem of the country. To explore this subject, we examined the initiatives proposed by the government during the past four years by consulting the websites of the public agencies in charge of this field, such as the Ministry of Information Technologies and Communications. We used the snowball method to identify additional documents related to the initiatives of interest. Upon analyzing the information gathered, we concluded that the Colombian government had fostered the reinforcement of the Digital Ecosystem of the country by defining: 1) Digital transformation policies, 2) strategies, and programs for digital transformation, in both cases focused on the government and the ecosystem, and 3) indicators to assess the progress of the process (both national and international). Although the indicators don’t show clear progress, monitoring the continuity of these efforts is necessary despite the political changes since these are long-term transformations that require permanent efforts to be fruitful.
Value derivation via Open Government Data (ODG) for attaining Sustainable Development Goals (SDGs) via trade & commerce: Case study of select trading partners

Charalampos Alexopoulos, Mohsan Ali, Yannis Charalabidis, Stuti Saxena, Euripidis Loukis and Nina Rizun

Given the impetus upon the availability and quality of Open Government Data (OGD) as prime considerations for usability, the value derivation through OGD interoperability unleashes vistas for realizing the Sustainable Development Goals (SDGs) via economic activities. Therefore, economic growth and development in terms of the SDGs attainment is possible in the globalized contexts where trade & commerce assume significance. For the present study, SDG-specific OGD across the 4 OGD national portals (UK, US, The Netherlands, Greece) are assessed across the availability-interoperability axes to understand how trade & commerce amongst the 4 trading partners might facilitate the attainment of 17 SDGs with value derivation initiatives across commercial products/services of the stakeholders. Specifically, cosine similarity is assessed for drawing inferences for the availability-interoperability loci. Findings show that most value derivation activities via trade & commerce towards the attainment of SDGs in the 4 countries are facilitated across SDG4 (Quality Education) and SDG11 (Sustainable Cities and Communities) where the availability-interoperability focus is strongest whilst the reverse is true for SDG 5 (Gender Equality); SDG 10 (Reduced Inequality), and SDG 17 (Partnerships for the goals) where the availability- interoperability focus is weakest. The findings are suggestive of the need for the practitioners and policy-makers to institutionalize OGD initiatives with qualitatively robust OGD to stimulate value creation via trade & commerce products/services in the domains linked with the SDGs.

September 12, 2023
Discovering thematic evolution of Digital Transformation and Public Sector publications in Scopus

Victor Bohorquez

The main objective of the study is to analyze the publications on digital transformation (DT) and public sector in the Scopus database, identifying the evolution of the terms by year, to propose a thematic classification according to the major themes found. Regarding the methodology, we first apply topic modeling by year of publication to articles abstracts that comply with the filters used; and then we apply grounded theory coding to classify the generated themes. Preliminary results reveal five major research topics: Government applies DT to improve and automate services; Project management in the era of global digitization; DT for decision-making with a citizen and business approach; AI to improve public policies and promote innovation; and Impact of COVID-19 on commerce, leadership and sustainability.
User Commitment towards Open Government Data (OGD) adoption and use: Influence of Trust and Quality dimensions

Charalampos Alexopoulos, Stuti Saxena, Carlos Guatimosim Neves, Ricardo Matheus, Euripides Loukis and Nina Rizun

User Commitment (UC) assumes significance for ensuring re-use and adoption of Open Government Data (OGD) given the impetus upon value derivation and innovation pursuits of the stakeholders concerned. The present study seeks to empirically validate a research model for determining the impinging variables, i.e. trust, information quality, data quality, system quality, for furthering UC. Drawing inferences from the responses secured from the university students in India, the impinging role of trust, system quality and data quality stand attested with the gender differentials in terms of system quality and data quality for user commitment. The study closes with social, academic and practical implications. As the first study seeking to understand the determinants of OGD UC, it contributes to the existing OGD literature apart from understanding the OGD UC propensities.