Dr Athina Ioannou


Lecturer in Business Analytics
BSc, MSc, PhD
+44 (0)1483 686317
46 AP 02
please email me to arrange a meeting

Biography

My qualifications

2018
PhD in Computer Science
Brunel University London
2013
MSc Business Information Systems
City University London
2011
BSc Finance & Accounting
University of Macedonia, Thessaloniki, Greece

Affiliations and memberships

British Academy of Management (BAM)
Member of British Academy of Management (BAM)

Research

Research interests

Research projects

Indicators of esteem

  • 2017, August. Best Paper Award in SIGADIT Track.Twenty-third Americas Conference on Information Systems, Boston, USA. Title 'Using IT Mindfulness to mitigate the negative consequences of technostress' (with Anastasia Papazafeiropoulou).

    My publications

    Publications

    Ioannou, A., Tussyadiah, I. and Miller,G. (2020). That’s private! Understanding travelers' privacy concerns and online data disclosure. Journal of Travel Research.
    View abstract View full publication
    Against the backdrop of advancements in technology and its deployment by companies and governments to collect sensitive personal information, information privacy has become an issue of great interest for academics, practitioners, and the general public. The travel and tourism industry has been pioneering the collection and use of biometric data for identity verification. Yet, privacy research focusing on the travel context is scarce. This study developed a valid measurement of Travelers’ Online Privacy Concerns (TOPC) through a series of empirical studies: pilot (N=277) and cross-validation (N=287). TOPC was then assessed for its predictive validity in its relationships with trust, risk, and intention to disclose four types of personal data: biometric, identifiers, biographic, and behavioral data (N=685). Results highlight the role of trust in mitigating the relationship between travelers’ privacy concerns and data disclosure. This study provides valuable contribution to research and practice on data privacy in travel.
    Ioannou, A., Tussyadiah, I. and Lu, Y. (2020). Privacy concerns and disclosure of biometric and behavioral data for travel. International Journal of Information Management, 54, p.102122.
    View abstract View full publication
    In light of mounting privacy concerns over the increasing collection and use of biometric and behavioral information for travel facilitation, this study examines travelers’ online privacy concerns (TOPC) and its impact on willingness to share data with travel providers. A proposed theoretical model explaining antecedents and outcomes of TOPC related to biometric and behavioral data sharing was tested using structural equation modeling with data collected from 685 travelers. The results extend the Antecedents – Privacy Concerns – Outcomes (APCO) framework by identifying a set of salient individual factors that shape TOPC. The findings provide empirical evidence confirming the context dependence of privacy preferences, showing that although travelers are concerned over their information privacy they are still willing to share their behavioral data; while in the case of biometric information, the disclosure decision is dependent upon expected benefits rather than privacy concerns. This study offers insights into privacy behavior of online consumers in the travel context and constitutes one of the few focusing on the social aspects of biometric authentication.
    Lu, Y., Ioannou, A., Tussyadiah, I. and Li, S. (2019). Segmenting travelers based on responses to nudging for information disclosure. e-Review of Tourism Research, 17(3), pp.394-406.
    View abstract View full publication
    Digital technologies shape travel environments. Noticing online privacy issues, consumers can hold distinct attitudes towards disclosing personal information to service providers. We conducted a panel survey to gauge travelers' willingness to share personal information with service providers, provided with different types of nudges. Based on the results of clustering analysis, two segments were identified: travelers who are reasonably willing to share (Privacy Rationalists) and those who are reluctant to share (Privacy Pessimists). This study provides empirical evidence of privacy segmentations in the travel context, which has not been reported before and thus deserves more attention from both researchers and practitioners.
    Lu, Y., Li, S., Ioannou, A. and Tussyadiah, I. (2019). From Data Disclosure to Privacy Nudges: A Privacy-Aware and User-Centric Personal Data Management Framework. In: Wang G., Bhuiyan M., De Capitani di Vimercati S., Ren Y. (eds) Dependability in Sensor, Cloud, and Big Data Systems and Applications. DependSys 2019. Communications in Computer and Information Science, vol 1123. Springer, Singapore
    View abstract View full publication
    Although there are many privacy-enhancing tools designed to protect users’ online privacy, it is surprising to see a lack of  solutions allowing privacy control based on the joint assessment of privacy risks and benefits, due to data disclosure to  platforms. In this paper, we propose a conceptual framework to fill the gap: aiming at  privacy protection, we show that the framework can assess not only privacy risks in using online services but also the added values earned from data disclosure. Through following a human-in-the-loop approach, it is expected that the framework can provide a personalized solution via preference learning, continuous privacy assessment, behavioral monitoring and nudging. Finally, we describe a case study about “leisure travelers” and some areas for further research.
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    Fakhimi, M, Ioannou, A, Spanaki, K (2018). Redesigning Mindfully ES Modules. In OR60 Annual Conference, Lancaster University, UK.

    Ioannou, A & Papazafeiropoulou, A. (2017). Using IT Mindfulness to Mitigate the Negative Consequences of Technostress. Twenty-third Americas Conference on Information Systems, Boston (AMCIS 2017 Proceedings).
    View abstract View full publication
    Research in the IS field has been focusing on investigating the adverse effects of ICT usage such as technostress. Nevertheless, few studies have investigated mechanisms for the alleviation of this phenomenon. This study contributes to the technostress literature by adopting a mindfulness perspective that has not been investigated before. In this paper, we aim to explore the role of IT mindfulness as a buffer to technostress stressors as well as a mechanism that can mitigate the negative consequences arising from extended ICT usage within organizational settings. By following a survey based approach and exploring a sample of 440 working individuals, our SEM analysis revealed that IT mindfulness constitutes a potential further mechanism that can effectively reduce technostress conditions, enhance user satisfaction while utilizing ICT’s for work tasks and improve task performance. Further research is proposed into expanding the proposed model, exploring the influence of IT mindfulness on additional organizational outcomes.
    Ioannou,A., Tussyadiah,I., Marshan, A. (2021). Dispositional mindfulness as an antecedent of privacy concerns: A protection motivation theory perspective. Psychology and Marketing.
    View abstract View full publication
    This study investigates the effects of mindfulness, an important personality trait, on people's perceptions of privacy. Using protection motivation theory as a conceptual foundation, the central tenet is that mindfulness plays an important role in people's threat appraisal process of privacy concerns and thus influences one's intention to share personal information online. A survey-based approach was employed to measure privacy attitudes of 685 UK individuals about online data disclosure. Our findings demonstrate that mindfulness contributes to the formation of privacy concerns. A more mindful consumer is more likely to adopt a more objective appraisal style, interpret privacy threats as less threatening, and thus share personal information online
    Marshan, A., Kansouzidou, G. and Ioannou, A. (2020). Sentiment Analysis to Support Marketing Decision Making Process: A Hybrid Model. In Advances in Intelligent Systems and Computing.Springer.
    Ling, E., Tussyadiah, I ., Tuomi, A., Stienmetz, J., Ioannou, A. (2021). Factors Influencing Users’ Adoption and Use of Conversational Agents: A Systematic Review. Psychology and Marketing.
    View abstract View full publication
    As artificially intelligent conversational agents (ICAs) become a popular customer service solution for businesses, understanding the drivers of user acceptance of ICAs is critical to ensure its successful implementation. To provide a comprehensive review of factors affecting consumers' adoption and use of ICAs, this study performs a systematic literature review of extant empirical research on this topic. Based on a literature search performed in July 2019 followed by a snowballing approach, 18 relevant articles were analyzed. Factors found to influence human-machine cognitive engagement were categorized into usage-related, agent-related, user-related, attitude and evaluation, and other factors. This study proposed a collective model of users' acceptance and use of ICAs, whereby user acceptance is driven mainly by usage benefits, which are influenced by agent and user characteristics. The study emphasizes the proposed model's context-dependency, as relevant factors depend on usage settings, and provides several strategic business implications, including service design, personalization, and customer relationship management.
    Ioannou, A., Tussyadiah, I. , Miller,G., Li, S. and Weick, M. (2021). Privacy Nudges for Disclosure of Personal Information: A Systematic Literature Review and Meta-Analysis. Plos One.
    Ioannou, A., Tussyadiah, I. (2021). Privacy and surveillance attitudes during health crises: Acceptance of surveillance and privacy protection behaviours. Technology in Society.
    View abstract View full publication
    The wide deployment of digital technologies for the management of the COVID-19 pandemic has triggered concerns about privacy and intrusion from government surveillance. This study investigates individual privacy and surveillance attitudes by developing a theoretical model to explain acceptance of government surveillance and privacy protection behaviours during health-crises, such as the COVID-19 pandemic. Results from a US sample reveal that people are concerned about the collection and use of their personal information via mobile applications and the monitoring of their online activities by authorities. Findings reveal the important roles of political trust and belief that governments' need to be proactive in protecting peoples’ welfare during a crisis that can increase acceptance of surveillance and thus assist in the management of the health crisis. Implications for research and practice are discussed
    Serra, F.,Tussyadiah, I., Ioannou, A. (2021). Is smart scary? A mixed-methods study on privacy in smart tourism. Current Issues in Tourism.
    View abstract View full publication
    This paper investigates privacy concerns in smart tourism, in which personal data fuels systems and services developed to enhance tourists’ experiences. A mixed-methods approach, involving semi-structured interviews (34) and a survey among travellers from the UK and Spain (= 1,019), was adopted. Findings from the qualitative study suggest that privacy concerns in smart tourism are built on preceding factors, including risk associated with use of different types of technology, past experiences with data misuse, and unawareness of data management practices. To cope with these, tourists adopt different strategies to protect their data. Results from the quantitative study reveal that privacy concerns influence actual behaviours and limit data disclosure. Different agents managing tourists’ personal data generate varying levels of privacy concerns. These findings have critical implications for tourism organizations and policy makers, posing the need to rethink the ramifications of smart tourism development for tourists and to devise appropriate strategies to address them.
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