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Catalog Publications

Year 2024
Year 2023
  • A framework of open government data (OGD) e-service quality dimensions with future research agenda
    Publication
    • C. H. Alexopoulos
    • S. Saxena
    • N. Rizun
    • S. Deo

    - Records Management Journal - Year 2023

    Purpose This research paper aims to present a framework of open government data (OGD) relating to e-service quality dimensions. In addition, it provides a research agenda for the e-service delivery of OGD. Design/methodology/approach A literature review pertaining to e-service quality with special reference to e-government was delivered to deduce the key dimensions of e-service quality for OGD. Findings Five e-service quality dimensions...

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  • A Parallel Corpus-Based Approach to the Crime Event Extraction for Low-Resource Languages
    Publication
    • N. Khairova
    • O. Mamyrbayev
    • N. Rizun
    • M. Razno
    • G. Ybytayeva

    - IEEE Access - Year 2023

    These days, a lot of crime-related events take place all over the world. Most of them are reported in news portals and social media. Crime-related event extraction from the published texts can allow monitoring, analysis, and comparison of police or criminal activities in different countries or regions. Existing approaches to event extraction mainly suggest processing texts in English, French, Chinese, and some other resource-rich...

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  • Antecedents and outcomes of social media fatigue

    Purpose – This study aims to explore which of four chosen factors (i.e. privacy concerns, FoMO, self-disclosure and time cost) induce a feeling of strain among Facebook users in terms of social media fatigue (SMF), and if this occurs, whether it further influences such outcomes as discontinuance of usage (DoU) and interaction engagement decrement (IED). Design/methodology/approach – Through an online structured questionnaire, empirical...

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  • Application of Text Analytics in Public Service Co-Creation: Literature Review and Research Framework
    Publication

    - Year 2023

    The public sector faces several challenges, such as a number of external and internal demands for change, citizens' dissatisfaction and frustration with public sector organizations, that need to be addressed. An alternative to the traditional top-down development of public services is co-creation of public services. Co-creation promotes collaboration between stakeholders with the aim to create better public services and achieve...

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  • Assessing the failure of Open Government Data initiatives in Brazil
    Publication
    • G. C. Wiedenhöft
    • C. H. Alexopoulos
    • S. Saxena
    • N. Rizun
    • R. Matheus

    - Electronic Journal of Information Systems in Developing Countries - Year 2023

    While assessing the potential of a particular digital innovation initiative, especially when it has implications for a range of societal stakeholders, it becomes pertinent to understand the possible bottlenecks in its acceptability as well. In this regard, the present study seeks to understand how the Open Government Data (OGD) initiatives in Brazil are being confronted with bottlenecks in terms of their execution and acceptability....

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  • Building Confidence and Trust in Ireland's National Maternity Services Workforce –What matters most and how?
    Publication
    • A. Ojo
    • N. Rizun
    • G. S. Grace
    • W. Przychodzen
    • M. Isazad Mashinchi
    • C. Foley
    • D. Rohde

    - HEALTH POLICY - Year 2023

    National surveys on care experiences are increasingly adopted as regulatory mechanisms for improving care quality and increasing public trust in healthcare services. Based on data collected as part of Ireland's 2020 National Maternity Experience Survey, this study investigates care-related factors that contribute most to confidence and trust in the professional workforce (or carers) within Irish maternity services. The survey covered...

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  • ChatGPT Application vis-a-vis Open Government Data (OGD): Capabilities, Public Values, Issues and a Research Agenda
    Publication
    • E. Loukis
    • S. Saxena
    • N. Rizun
    • M. I. Maratsi
    • M. Ali
    • C. H. Alexopoulos

    - Year 2023

    As a novel Artificial Intelligence (AI) application, ChatGPT holds pertinence not only for the academic, medicine, law, computing or other sectors, but also for the public sector-case in point being the Open Government Data (OGD) initiative. However, though there has been some limited (as this topic is quite new) research concerning the capabilities ChatGPT in these sectors, there has been no research about the capabilities it...

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  • Conceptualizing Digital Government for Social Solidarity
    Publication

    This paper motivates the study of the impact of digital government on social solidarity; builds a conceptual foundation with four types of solidarity – group-based, compassionate, instrumental and emphatic; relates digital government to the type and moment – pre-technological, technological and post-technological of solidarity; and puts forward the type-moment frame to study how digital government is supporting social solidarity...

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  • DGO '23: Proceedings of the 24th Annual International Conference on Digital Government Research
    Publication

    - Year 2023

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  • Dis/Trust and data-driven technologies
    Publication

    - Internet Policy Review - Year 2023

    This concept paper contextualises, defines, and systematises the concepts of trust and distrust (and their interrelations), providing a critical review of existing literature so as to identify gaps, disjuncture, and continuities in the use of these concepts across the social sciences and in the context of the consolidation of the digital society. Firstly, the development of the concept of trust is explored by looking at its use...

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  • Exploring the Usability and User Experience of Social Media Apps through a Text Mining Approach

    This study aims to evaluate the applicability of a text mining approach for extracting UUX-related issues from a dataset of user comments and not to evaluate the Instagram (IG) app. This study analyses textual data mined from reviews in English written by IG mobile application users. The article’s authors used text mining (based on the LDA algorithm) to identify the main UUX-related topics. Next, they mapped the identified topics...

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  • Fashion and Tourism: Parallel Stories of Two "Dream Marvels".
    Publication

    - Year 2023

    Fashion and tourism are two social, cultural, and economic phenomena that have both numerous connections and surprising similarities. These are not new: they have been built and developed since the beginnings of tourism as a modern social phenomenon, emerged in Europe in the context of the industrial revolution. They consolidated in the first decades of the 21st century, in a context where both phenomena have completed their “mass”...

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  • Fashion Games, Fashion in Games and Gamification in Fashion. A First Map
    Publication

    - Year 2023

    Fashion companies have been using different forms of entertainment such as film and television, sport, music, museums, and photography as inspiration sources and as communication and marketing channels for decades. However, in recent years, they have also started to consider the gaming world. While gaming offers a potential revenue stream from sales of physical and digital clothing, change in it is also the gateway to access new...

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  • Generating actionable evidence from free-text feedback to improve maternity and acute hospital experiences: A computational text analytics & predictive modelling approach
    Publication
    • A. Ojo
    • N. Rizun
    • M. Isazad Mashinchi
    • G. Walsh
    • J. Gruda
    • M. N. Narayana
    • M. Venosa
    • C. Foley
    • D. Rohde
    • R. Flynn

    - EUROPEAN JOURNAL OF PUBLIC HEALTH - Year 2023

    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 insights can be gleaned from free-text data. Advanced analytics techniques are increasingly...

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  • How do personality traits influence Open Government Data (OGD) adoption and usage? Investigating the indirect and moderating effects
    Publication
    • N. Rizun
    • C. H. Alexopoulos
    • S. Saxena
    • F. Kleiman
    • R. Matheus

    - Year 2023

    Open Government Data (OGD) research has focused for a long on the adoption and usage from the perspectives of users across different contexts. The underlying rationale for this specific focus is that OGD initiatives are undertaken to further citizen engagement with OGD for value generation and innovation purposes. Conceding that usage propensity is different across individuals, it is important to understand the influence of personality...

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  • How Swiss Watchmaking Brands are Communicating Made in Switzerland
    Publication

    - Year 2023

    Country-of-origin indications, also called “made in” labeling [35], are utilized in marketing strategies by companies to distinguish themselves from others, trying to associate their products with positive characteristics [9]. Swiss watchmaking companies have an iconic status that is essential to their reputation - mainly due to their high quality, precision, innovation, and craftsmanship [7]. They are also using country-of-origin...

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  • Identification of High-Value Dataset determinants: is there a silver bullet for efficient sustainability-oriented data-driven development?
    Publication

    - Year 2023

    Open Government Data (OGD) are seen as one of the trends that has the potential to benefit the economy, improve the quality, efficiency, and transparency of public administration, and change the lives of citizens, and the society as a whole facilitating efficient sustainability-oriented data-driven services. However, the quick achievement of these benefits is closely related to the “value” of the OGD, i.e., how useful, and reusable...

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  • Identification of Public Service Logic (PSL) and Public Service Motivation (PSM) elements in Open Government Data (OGD) initiatives
    Publication
    • F. Ishengoma
    • S. Deo
    • R. Gouvêa
    • G. C. Wiedenhöft
    • R. Matheus
    • C. H. Alexopoulos
    • N. Rizun
    • S. Saxena

    - Electronic Journal of Information Systems in Developing Countries - Year 2023

    While previous research on Open Government Data (OGD) has primarily focused on reuse and adoption, this study aims to explore the implications of the Public Service Logic (PSL) and Public Service Motivation (PSM) dimensions in the context of OGD initiatives. This study is contextualized in Tanzania wherein the OGD initiatives are at an evolving stage. For the present study, the perspectives of the 15 public officials involved in...

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  • IMPLEMENTING THE QUALITY ASSURANCE SYSTEM AND ASSURING HEALTH SAFETY IN THE LIGHT OF INCREASING BREAD QUALITY

    The article presents rules, requirements, and norms for quality management and health safety assurance systems among small and medium bakeries. This group of businesses does not have the obligation of implementing or certifying specific systems. They are, however, implemented in order to increase the quality of the bread or reach a better market position. Also, the results of a 2022 study of 53 bakeries’ implementation of individual...

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  • Linking Fashion and Tourism: From Body to Clothing and Lifestyle
    Publication

    - Year 2023

    There are many profound links between fashion and tourism. This chapter provides a critical reflection, mainly from a philosophical, historical, and linguistic perspective, on the dynamic relationship and parallel evolution between these two sectors. It explains how their intercon nectedness form and mirror contemporary society. This chapter classifies the connections between the two, starting with the person, her body, and the...

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  • Model zarządzania projektami informatycznymi w jednostkach sądownictwa powszechnego w Polsce
    Publication

    - Year 2023

    Projekty mają istotny wpływ na funkcjonowanie sądów powszechnych. Przyjrzenie się projektom informatycznym realizowanym w sądach wraz z raportem Najwyższej Izby Kontroli dot. sprawności realizowanych projektów informatycznych wymiaru sprawiedliwości doprowadziło do zidentyfikowania głównych problemów podczas realizacji inicjatyw informatycznych. Ponadto przegląd literatury dotyczący zarządzania projektami dla wymiaru sprawiedliwości...

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  • Projekty NFT i bariery ich wejścia na rynek

    Niniejsza praca traktuje o barierach wejścia na rynek dla projektów NFT. Porusza zagadnienia związane z kapitałochłonnością, regulacjami prawnymi, dostępem do wiedzy i patentów, a także ze zróżnicowaniem produktów i dostawców na rynku NFT. Celem pracy jest identyfikacja i opis barier wejścia, które napotykają nowe przedsiębiorstwa wchodzące na rynek. Autorzy przewidują, że wraz z rosnącym zainteresowaniem konsumentów wzrośnie zainteresowanie...

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  • Selecting an Applicable Cybersecurity Assessment Framework: Qualitative Metrics-Based Multiple-Factor Analysis

    Recently, a survey of cybersecurity assessment methods focused on general characteristics was conducted. Among its major findings, it revealed the methods’ adoption issues. This paper presents a follow-up to the study. It provides an in-depth analysis of the methods’ adoption-related properties based on qualitative metrics. As a result, the proposals which demonstrate a higher adoption potential were identified. The methods are...

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  • Systemic analysis of a manufacturing process based on a small scale bakery
    Publication

    - Quality and Quantity - Year 2023

    The main aim of the article is to present two new innovative concepts of reliability of a functioning manufacturing system in the process of making bread in small-scale bakeries. Reliability is understood as one of the representations of an operator acting on specifc streams in time to - t. One of these represents the global reliability of a system as a function of parallel action of all the streams of the system in time to to...

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  • Towards a Framework for Context Awareness Based on Textual Process Data
    Publication

    - Year 2023

    Context awareness is critical for the successful execution of processes. In the abundance of business process management (BPM) research, frameworks exclusively devoted to extracting context from textual process data are scarce. With the deluge of textual data and its increasing value for organizations, it be-comes essential to employ relevant text analytics techniques to increase the awareness of business process (BP) workers,...

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  • Towards High-Value Datasets Determination for Data-Driven Development: A Systematic Literature Review
    Publication

    - Year 2023

    Open government data (OGD) is seen as a political and socio-economic phenomenon that promises to promote civic engagement and stimulate public sector innovations in various areas of public life. To bring the expected benefits, data must be reused and transformed into value-added products or services. This, in turn, sets another precondition for data that are expected to not only be available and comply with open data principles,...

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  • Tweet you right back: Follower anxiety predicts leader anxiety in social media interactions during the SARS-CoV-2 pandemic
    Publication
    • A. Psychogios
    • D. Gruda
    • A. Ojo

    - PLOS ONE - Year 2023

    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 participants over 316 days, including pre- and post the onset of the SARS-CoV-2 pandemic...

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  • Using Isolation Forest and Alternative Data Products to Overcome Ground Truth Data Scarcity for Improved Deep Learning-based Agricultural Land Use Classification Models
    Publication
    • A. Pereira García
    • L. Porwol
    • A. Ojo

    - Year 2023

    High-quality labelled datasets represent a cornerstone in the development of deep learning models for land use classification. The high cost of data collection, the inherent errors introduced during data mapping efforts, the lack of local knowledge, and the spatial variability of the data hinder the development of accurate and spatially-transferable deep learning models in the context of agriculture. In this paper, we investigate...

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  • Whither the need and motivation for open government data (OGD) promotional strategies?
    Publication
    • C. H. Alexopoulos
    • S. Saxena
    • M. Janssen
    • N. Rizun

    - Digital Policy Regulation and Governance - Year 2023

    Purpose It has been underscored in the extant literature that open government data (OGD) has not percolated across the length and breadth of any country, let alone the awareness of the OGD among the stakeholders themselves. In this vein, this study aims to underline the reasons as to why OGD promotion merits consideration apart from underlining the manner in which OGD promotion may be done. Design/methodology/approach Based on...

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Year 2022