Adegboyega Ojo

• PhD
• Senior Researcher at Ollscoil na Gaillimhe – University of Galway

Many scholars argue that there is a deepening crisis of trust in healthcare systems. What is not contested is the centrality of public trust in building reputational value in healthcare organisations. However, there is a dearth of research focused on better understanding how trust in healthcare institutions, and the healthcare workforce, can be sus...

Patient experience surveys have become a key source of evidence for supporting decision-making and continuous quality improvement within healthcare services. To harness free-text feedback collected as part of these surveys for additional insights, text analytics methods are increasingly employed when the data collected is not amenable to traditiona...

Background Patient experience surveys are a key source of evidence for supporting decision-making and quality improvement in healthcare services. These surveys contain two main types of questions: closed and open-ended, asking about patients’ care experiences. Apart from the knowledge obtained from analysing closed-ended questions, invaluable insig...

Recent research has shown that organizational leaders’ tweets can influence employee anxiety. In this study, we turn the table and examine whether the same can be said about followers’ tweets. Based on emotional contagion and a dataset of 108 leaders and 178 followers across 50 organizations, we infer and track state- and trait-anxiety scores of pa...

In this paper, we explore the role of perceived emotions and crisis communication strategies via organizational computer-mediated communication in predicting public anxiety, the default crisis emotion. We use a machine-learning approach to detect and predict anxiety scores in organizational crisis announcements on social media and the public’s resp...

Introduction: The National Care Experience Programme (NCEP) conducts national surveys that ask people about their experiences of care in order to improve the quality of health and social care services in Ireland. Each survey contains open-ended questions, which allow respondents to comment on their experiences. While these comments provide importan...

We explore how two paradoxical yet potentially complementary leader traits — grandiose narcissism and servant leadership — interact to affect follower state anxiety over a period of 316 days covering periods before and during the COVID-19 pandemic. Daily observations provided by 204 leaders and 1,131 followers show that grandiose admiration-seeking...

Do organizational leaders’ tweets influence their employees’ anxiety? And if so, have employees become more susceptible to their leader’s social media communications during the COVID-19 pandemic? Based on emotional contagion and using machine learning algorithms to track anxiety and personality traits of 197 leaders and 958 followers across 79 orga...

We examine the longitudinal relation between extraversion and state anxiety in a large cohort of New York City (NYC) residents using a linguistic analytical machine learning approach. Anxiety, both state and trait, and Big Five personality traits were predicted using micro-blog data on the Twitter platform. In total, we examined 1,336 individuals a...

Free-text feedback from patients is increasingly used for improving the quality of healthcare services and systems. A major reason for the growing interest in harnessing free-text feedback is the belief that it provides richer information about what patients want and care about. The use of computational approaches such as structural topic modelling...

e-Participation depends on a community of users-citizens who constructively engage and collaborate with governments and decision-makers on key democratic and social matters. Effective serious communication requires meaningful social interactions supported by relevant community-building efforts. We argue that achieving that is more visible by engagi...

Despite the recognised benefits to human health from green and blue spaces, socioeconomic inequalities in access to and use of such spaces have been observed. Using a multidisciplinary, multistakeholder systems approach and structural equation modelling, this paper examines the structural and behavioural dynamics of green and blue spaces, people an...

Governments are increasingly adopting digital contact tracing applications (DCT) as a key component of their response to the COVID-19 pandemic. However, governments are struggling to achieve widespread adoption of DCT necessary for obtaining the expected individual and public benefits associated with its use. Consequently, studies on DCT have focus...

Based on emotional contagion theory, we longitudinally examine the transfer of state anxiety in computer-mediated communication (CMC) in a sample of 277 leaders and 1,649 followers across 87 companies. To test the proposed relationship, we use a machine learning (ML) approach to detect state and trait anxiety in 5,025,171 tweets of leaders and foll...

To drive innovation and competitiveness, organisations need to foster the development and broad adoption of data technologies, value-adding use cases and sustainable business models. Enabling an effective data ecosystem requires overcoming several technical challenges associated with the cost and complexity of management, processing, analysis and u...

This chapter presents a best practice framework for the operation of Big Data and Artificial Intelligence Centres of Excellence (BDAI CoE). The goal of the framework is to foster collaboration and share best practices among existing centres and support the establishment of new Centres of Excellence (CoEs) within Europe. The framework was developed...

We investigate the longitudinal relationship between extraversion and experienced state anxiety in a cohort of Twitter users in New York using a linguistic analytics approach. We find that before COVID-19 was declared a pandemic, highly extraverted individuals experienced lower state anxiety compared to more introverted individuals. This is in line...

The objective of this paper is to investigate existing factors related to the decision to adopt and use of dashboards in the healthcare domain using a systematic literature review approach. The study is part of a larger initiative on how analytics dashboards can support decisions in value-based prostate cancer treatment and care. Although many stud...

There is growing interest in applying computational methods in analysing large amount of data without sacrificing rigour in Information Systems research. In this paper, we demonstrate how the use of structural and temporal topic modelling can be employed to produce insights of both theoretical and practical importance from the analysis of textual c...

In addition to strengthening governance through more open, participatory and collaboratory practices; Open Government (OG) initiatives are expected to enable greater efficiency, innovation and competitiveness in government. Recent findings from analysis of the Independent Reporting Mechanism (IRM) reports of OGP members show increasing difficulty i...

The voice of the customer has for a long time been a key focus of businesses in all domains. It has received a lot of attention from the research community in Natural Language Processing (NLP) resulting in many approaches to analysing customers feedback ((aspect-based) sentiment analysis, topic modeling, etc.). In the health domain, public and priv...

A fundamental requirement for intelligent decision-making within a smart environment is the availability of information about entities and their schemas across multiple data sources and intelligent systems. This chapter first discusses how this requirement is addressed with the help of catalogs in dataspaces; it then details how entity data can be...

We have witnessed about a decade’s effort in opening up government institutions around the world by making data about their services, performance and programmes publicly available on open data portals. While these efforts have yielded some economic and social value particularly in the context of city data ecosystems, there is a general acknowledgme...

Significant progress has been made in linguistic-based text analytics particularly with the increasing availability of data and deep learning computational models for more accurate opinion analysis and domain-specific entity recognition. In understanding customer service experience from texts, analysis of sentiments associated with different stages...

Achieving the Sustainable Development Goals (SDG2030) requires that governments and their various institutions be more agile, collaborate across agency boundaries and national borders, and also develop specific capabilities. Some of the required capabilities are related to developing and sustaining governance networks, digitally transforming public...

The mainstream text-based e-Participation employing blogs, forums, chats and social media enables mass communication and is easy to use and content generated is machine-processable. Nevertheless, the literature points to inherent, significant lack of expressivity in text-based solutions that leads to often distorted or biased communication and misu...

Recent years have witnessed a number of significant ideas and approaches to addressing the shortcomings of the New Public Management paradigm. Three of these recent ideas, which include Digital Era Governance, Public Value Management, and New Public Governance, emphasise partnerships collaboration and engagement of citizens; performance governance...

Statistical data account for a very large proportion of data published on open data platforms. This category of data are which are often of high quality, value and public interest; are gradually being published as 5-star linked open statistical data or data cubes (LOSD) for easy integration and cross-border comparability. However, publishing open d...

Process innovation in public organizations is widely documented and has increasingly been the subject of empirical scrutiny. However, no study has attempted to investigate process innovation in open data organizations in public sector. Guided by the Dynamic Capability Theory and based on the detailed study of four open data organizations, we synthe...

HSE EPA Data Policy Workshop From Open Data to GDPR Data Sharing Challenges – Environment, Health & Wellbeing HSE EPA Environment, Health & Wellbeing Conference 2-4pm Wednesday 7th November 2018 Radisson Blu Hotel, Golden Lane, Dublin The workshop was comprised of two panels lasting one hour each. Each panel was comprised of 4 people who made 8-10...

Cognitive computing applications are steadily growing across sectors and increasingly considered for adoption in government for transforming public services. Semantic technologies have been identified as one of the enabling technologies for cognitive computing capabilities. This paper describes some foundational efforts for the deployment of ontolo...

With the increasing interest in knowledge graph over the years, several approaches have been proposed for building knowledge graphs. Most of the recent approaches involve using semi-structured sources such as Wikipedia or information crawled from the web using a combination of extraction methods and Natural Language Processing (NLP) techniques. In...

This book constitutes the thoroughly refereed proceedings of the 9th International Conference on e-Infrastructure and e-Services for Developing Countries, AFRICOMM 2017, held in Lagos, Nigeria, in December 2017. The 19 full papers, 12 short papers and 5 workshop papers were carefully selected from 81 submissions. The papers were presented in eight...

Contemporary data infrastructures are yet to afford easy access to available data, better understanding of these data, engagement around data to drive collective sense-making and knowledge co-creation. This work synthesizes the knowledge gained through a 40-month research and innovation project which led to designing and implementing an architectur...

With the advent of Virtual Reality-supported social media, an opportunity arises for transitioning from text-based solutions to next-gen e-Participation by applying more trustful digital interaction for democratic purposes. In this paper elaborate upon and provide some empirical evidence supporting the thesis of participation-trust-growing with inc...

Despite the growing practices in big data and big data analytics use, there is still the paucity of research on links between government big data analytics use and public value creation. This multi-case study of Australia, Ireland, Mexico, and U.S.A. examines the state of big data and big data analytics use in the national census context. The censu...

Research and innovation of the smart city concept is logically evolving and extending into the conceptualisation of smart regions. Within the European Union the political priorities and principles are aligning to encourage the development of smart regions. Current plans for jobs, growth and investment, the digital single market, energy union and de...

Textual communication which currently has largely shifted from paper to digital space is predominant in the domain of e-Participation. Even though the ubiquitous text-based communication through forums, chats, emails and social media is easy to use and process it shows significant lack of expressivity. Despite the proliferation of voice-based and v...

Creating superior competitiveness is central to open data organization's survivability in the fast changing and competitive open data market. In their quest to develop and increase competitiveness and survivability, many of these organizations are moving towards developing open data capabilities. Research-based knowledge on open data capabilities a...

Producing new generation of digital public services from open data is of major interest to policymakers, practitioners and academia in the digital government community. Recent efforts in the area of Linked Statistical Data suggest that the associated multidimensional data cubes are excellent resources that could underpin data-driven digital public...

Research on citizen satisfaction with respect to public policies has significant public and political value. Politicians are generally seeking effective public policies that favourably impacts citizens' satisfaction. Citizen satisfaction index is a plausible mechanism for public policy makers to monitor and evaluate the public policies. While surve...

+++++++++++ An open-access preprint of this paper is available on UCD repository here: https://researchrepository.ucd.ie/rest/bitstreams/44566/retrieve +++++++++++ Data storytelling is rapidly gaining prominence as a characteristic activity of digital journalism with significant adoption by small and large media houses. While a handful of previous...

The drive for openness in government, with open data as a key component, has seen governments around the world devote a large amount of resources to publishing government collected and held data. Scarce resources are being devoted to this goal with the primary goals designated as economic growth and increased innovation. A somewhat overlooked aim i...

We present a technique for election results collation and transmission in largely populated areas. In our earlier works we presented an electronic balloting and result transmission systems[1][2].Whereas these systems perform creditably well where voters are within estimated number of between 500 and 1000, a problem of local collation was introduced...

Developments in open data have prompted a range of proposals and innovations in the domain of governance and public administration. Within the democratic tradition, transparency is seen as a fundamental element of democratic governance. While the use of open government data has the potential to enhance transparency and trust in government, realisin...

Blockchain or distributed ledger technology; a distributed and open data infrastructure enabling secure transactions without centralised trust party on the Internet, is considered to have disruptive potentials comparable to that of the Internet. This technology innovation is driving major strategic and policy actions in several economies around the...

Open data (OD) is increasingly considered as a core resource for many organizations in the emerging data economy. Open data-driven organizations (ODDOs) like any other organizations must develop capabilities for generating value from OD, agility, and competitiveness to survive. This chapter investigates the salient factors for generating value from...

In this paper we present innovative solutions to the problem of transparency in Public Administrations (PAs) by opening up public data and services so that citizens participation is facilitated and encouraged with a Social Platform and a personalized user-friendly Transparency-Enhancing Toolset.

Business models for open data have emerged in response to the economic opportunities presented by the increasing availability of open data. However, scholarly efforts providing elaborations, rigorous analysis and comparison of open data models are very limited. This could be partly attributed to the fact that most discussions on open data business...

The adoption and use of e-voting technologies in major elections remain largely problematic regardless of where they are implemented. This has motivated a number of survey-based empirical studies on determining important factors for e-voting adoption based on existing technology adoption models. However, there is a paucity of studies, which provide...

Due to the increasing adoption of open data among governments worldwide especially in the European Union area, a deeper analysis of the newly published data is becoming a mandate. Apart from analyzing the published dataset itself we aimed on analyzing published dataset catalogues. A dataset catalogue or a dataset metadata contains features that des...

Public policies documents convey strategic directions and framework of actions of government in a particular sector. For most societal challenges, there is a need for government entities at the same and different levels to coordinate their policies and collaborate on the implementations of policies. However, this coordination and collaboration effo...

Governments around the world make their data available through platforms but, disappointingly, the use of this data is lagging behind. This problem has been recognized in the literature and to facilitate use of open datasets, scholars have focused on identifying general user requirements for open data platform design. This approach however fails to...

1While progress in the development of e-Participation platforms has been significant and the emergence of new Social Media-driven platforms appears to bring significant (by quantity), citizen engagement, litle attention has been paid by researchers to the limitations of the pervasive textual communication for political participation. In this paper,...

1Research into Data-Driven Storytelling using Open Data has led to considerable discussion into many possible futures for storytelling and journalism in a Data-Driven world, in particular, into the Open Data directives framed by various governments across the globe as a means of facilitating governments, transparency enabled citizens and journalist...

Open data-driven organizations compete in a complex and uncertain environment with growing global competition, changing and emerging demand and market, and increasing levels of analytical tools and technology. For these organizations to exploit open data for competitive advantage, they need to develop the requisite competitive capabilities. This ar...

1 Despite the rapid proliferation of open data platforms, the accessibility and ease of use of data portals is low. This factor prevents citizens and civil society organizations from exploiting open data for their goals. The poor usability of current generation of open data platforms could be attributed to the fact that these platforms were not des...

To gain insight into customer’s needs and stay competitive, open data-driven organizations must acquire capabilities to generate different kinds of values from open data. With respect to open data capabilities, scholarly efforts articulating the nature and types of open data capabilities are very limited. To bridge this knowledge gap, we construct...

Innovation in government is about finding new ways to improve society, the government itself and the relationship between the government and the public. Data-driven innovation can result in a dramatic transformation of public sector systems. Data-driven innovation requires technological innovation capabilities needed for collecting, opening and sha...

Despite the large volume of policies and other formal decision instruments in government and international organizations, policy repositories with rich metadata across government and public administration jurisdictions are virtually nonexistent. The lack of such infrastructure and technical resources makes learning within government, across politic...

The high rate of adoption of Social Media technologies and platforms make them naturally appealing for engaging citizens. Interestingly, despite the proliferation of e-Participation platforms, overall efforts towards mainstreaming Social Media-based and citizen-led political deliberations are still limited. Consequently, there is a paucity of resea...

Despite the existence of number of well-known conceptualization in e-Business and e-Commerce, there have been no efforts so far to develop a detailed, comprehensive conceptualization for business model. Current business literature is replete with fragmented conceptualizations, which only partially describe aspects of a business model. In addition,...

Historically, technological change has had significant effect on the locus of administrative activity, cost of carrying out administrative tasks, the skill sets needed by officials to effectively function, rules and regulations, and the types of interactions citizens have with their public authorities. Next generation Public Sector Innovation will...

This paper develops a framework for facilitating organizational learning through social media text analytics to enhance citizen-centric public service quality. Theoretically, the framework integrates double-loop learning theory with extant models of e-participation in government. Empirically, the framework is applied to a case study of citizen-to-g...

Despite the increasing number of datasets available on open data platforms, there has been limited adoption and use of open data by the public. This has consequently limited the innovation and transparency impact of open data on respective economies and governments. While literature is replete with articles on barriers to open data exploitation and...

This work considers the Citizen-to-Citizen (C2C) service interaction, and shows how it could be implemented using a set of identified affordances and a decision model that considers social attributes. Specifically, we adapt the Analytic Hierarchy Process (AHP) to consider social attributes in choosing appropriate service provider for a C2C service...

Open data (OD) is increasingly considered as a core resource for many organizations in the emerging data economy. Open data-driven organizations (ODDOs) like any other organizations must develop capabilities for competitiveness and agility in addition to processes for creating value from OD to survive. While questions about the extent to which OD c...

The increasing volumes of datasets published on open data platforms have had little impact on the public use of open data and perceived transparency of respective governments. At the same time, the innovation potentials of these datasets are far from realized due to many factors including poor quality of datasets. While past studies have attempted...

Governments are increasingly engaging private sector organizations, civil society and citizens to tackle complex policy challenges through some forms of networked governance arrangements. These governance networks which in general facilitate flexibility, speed and innovation in government, when compared with traditional governance forms, are necess...

Governments are increasing reaching out beyond their organizational boundaries to engage citizens in policy design, co-created and co-delivered public services. While social media platforms have been largely used by government entities for communicating with and obtaining feedbacks on programs and services from citizens; traditional websites remain...

This ongoing research aims to develop a Government Decision Support Framework that employs citizen opinions and sentiments to predict the level of acceptance of newly proposed policies. The system relies on a knowledge base of citizen opinions and an Ontological Model comprising aspects and related terms of different policy domains as an input and...

Business models for open data have emerged in response to the economic opportunities presented by the increasing availability of open data. However, scholarly efforts providing elaborations, rigorous analysis and comparison of open data models are very limited. This could be partly attributed to the fact that most discussions on Open Data Business...

Despite over a decade-long experience of implementing e-Participation initiatives, there have been limited efforts so far to develop a detailed, comprehensive conceptualization for e-Participation considered from three distinct perspectives: as democratic process, a project and a deliberation platform. Current e-Participation literature is replete...

Despite the ubiquity of e-Participation initiatives, efforts in mainstreaming social media-based and citizen-led political deliberations are still limited. Consequently, there is little opportunity to leverage, study and understand the expected mutual re-shaping of deliberations on traditional e-Participation and spontaneous citizen discussions on...

In this short paper, we introduce ROUTE-TO-PA project, funded by European Union under the Horizon 2020 program, whose aim is to improve the transparency of Public Administration, by allowing citizens to make better use of Open Data, through collaboration and personalization.

As a research domain, Smart Cities is only emerging. This is evident from the number of publications, books, and other scholarly articles on smart cities indexed in Google scholar and Elsevier’s Scopus—an abstract and citation database. However, significant literature is available on related topics like intelligent city, digital city, and intellige...

Harnessing spontaneous contributions of citizens on Social Media and networking sites is a major feature of the next generation citizen-led e-Participation paradigm. However, extracting information of interest from Social Media streams is a challenging task and requires support from domain specific language resources such as lexica. This work descr...

Smart cities as urban innovation and transformation initiatives aim to harness physical infrastructures, information communication technologies (ICT), knowledge resources and social infrastructure for economic regeneration, social cohesion, better city administration, and infrastructure management. After the first waveof flagship smart city initiat...

Latest advancements in information and communication technologies offer great opportunities for modernising policy making, i.e. increasing its efficiency, bringing it closer to all relevant actors, and enhancing its transparency and acceptance levels. In this context, this chapter aims to present, analyse, and discuss emerging information and commu...