Discerning the effect of privacy information transparency on privacy fatigue in e-government

https://doi.org/10.1016/j.giq.2021.101601Get rights and content

Highlights

  • The effect of privacy information transparency and privacy fatigue is studied in e-government.

  • Privacy fatigue is manifested in emotional exhaustion and cynicism behaviour.

  • Data collection and data use information aspects affect privacy information transparency.

  • Low privacy information transparency mainly increases cynicism behaviour.

Abstract

Privacy information transparency is generally considered desirable and should be enabled and upheld. It has gained increasing attention giving the emergence of new information technologies and their affordances for e-governance and governments. This study examines the proposition that privacy information transparency is amiable to mitigating privacy fatigue in e-government. The study identifies the antecedents of privacy information transparency of an e-government website, and its influence on privacy fatigue manifested in emotional exhaustion and cynicism. A survey conducted in Cyprus harnessed user responses, and the data analyzed using a partial least square structural equation analysis method. Findings reveal that; (1) user data collection and data use information aspects of online privacy significantly impact privacy information transparency; and (2) privacy information transparency positively impacts both cynicism behaviour and emotional exhaustion. This study extends the concept of privacy fatigue into e-government and contributes to an empirical evaluation of its relationship with privacy information transparency.

Introduction

Developments in information technology (IT) have exposed the challenges, needs, and workings of the society around us. Despite this fact, they have also aligned these facets into streamlined, coherent human convenient processes (Mutimukwe, Kolkowska, & Grönlund, 2019). This has benefited all sundry, particularly, organizations, and governments (Sharma, Metri, Dwivedi, & Rana, 2021). For instance, ITs have facilitated the search for information to improve decision making or facilitate services to consumers (Sabani, 2020). Despite these benefits, there is also evidence of their dissuasion to users' decisions due to the lack or inadequacy of information (Eijk, Asghari, Winter, & Narayanan, 2019). For example, information provided on some service platforms is either inadequate or difficult to understand in order to satisfy information needs of users (Tejedo-Romero & Araujo, 2020). This challenge of insufficient information needs of users often leads to the issue of limited information transparency (Abu-Shanab, 2013).

Information transparency is about the willingness to provide service and organizational information to users. Evidence suggests that information transparency positively correlates with disengagement behaviour (Choi, Park, & Jung, 2018). For example, The US department of commerce in 2017 found a low performance in e-commerce in the US despite the rapid growth experienced in e-commerce around the time and attributes its low levels of information transparency on commerce sites (U.S. Department of Commerce, 2017). Therefore, information transparency could be a relevant tool for ensuring sustained engagement and assurance online. Similarly, given the numerous concerns with privacy online, information transparency pertaining to user privacy could be used as a privacy assurance tool. Thus, willingly providing privacy-related information to users may ensure privacy assurance. This is described as privacy information transparency (Busch, Henriksen, & Øystein, 2018). Relative to e-government sites, readily offering various privacy information required by users to form appropriate protective behaviour or perception enhances privacy information transparency. This is important because e-government typifies information and technology applied to enhance transactional relationships between citizens (user) and its administrators (Ciborra, 2009). It also reengineers state administration's internal activities, which are to become more transparent, agile, and accountable (Bannister & Connolly, 2011). Therefore, increased privacy information transparency on e-government sends positive governance implications to the public or citizenry (Mutimukwe, Kolkowska, & Grönlund, 2017). Thus, the need to understand the extent of privacy information transparency in e-government (Gupta, Pal, & Muttoo, 2020). Further, scholars have questioned the effectiveness of information transparency on the whole, relative to its being an attribute of good governance (Mutimukwe et al., 2017; Millard, 2010; Meijer, Boersma, & Wagenaar, 2010).

This study considers privacy information aspects as one of the attributes of good governance because some gaps exist in this dimension in e-government. In 2010, the acquisition and public release of information from military files and certain diplomatic offices by Wikileaks in the US (New York Times, 2010) questioned the effectiveness of transparency onto the public domain. Subsequent releases, such as Facebook-Cambridge Analytica's case in 2016, further highlight user data collection in hindsight for several reasons like political advertising (Chan, 2020; Doffman, 2019). These phenomena increase concerns with state or government access to disclosed information of users, thus, making information transparency a touchy one (Choi et al., 2018). Where privacy information transparency is lacking, users are forced into the ‘black box’ of service providers (Choi et al., 2018) and may perceive no effective means of dealing with such information risks situation or engagement (Widjajaa, Jengchung, Sukococ, & Quang-An, 2019).

This may derive frustration and exhaustion with online risks and related tasks – also known as fatigue (Eijk et al., 2019). Fatigue arises from the inability to meet demands of a task, and it is characterized by emotional exhaustion and cynicism behaviour toward tasks (Hargittai & Marwick, 2016). Thus, emotional exhaustion and cynicism are core elements of fatigue (Choi et al., 2018). Fatigued people possess a reduced efficacy to make decisions due to the psychological strain from being unable to meet the demands of a task (Vohs et al., 2014). By implication, being faced with risks, like privacy-related risks or the task of protecting one's privacy, users can be driven into a state of hopelessness, frustration, or perpetual exhaustion (fatigue) because users here perceive no effective means of ensuring their privacy (Choi et al., 2018). This is conceptualized as privacy fatigue. Therefore, in the case of online privacy risks, a fatigued user, rather than seeking to ensure protective privacy behaviour, may withdraw or abandon the task of ensuring such protective behaviour online, which is the easy way out. This is because the user, experiencing privacy fatigue perceives no effective means of ensuring their privacy and will make little or no efforts to continue engagement on a platform they feel least protected or transparent. This behaviour is expressed through cynicism behaviour or emotional exhaustion toward privacy risks (Choi et al., 2018).

Despite this fact, users cannot quickly disengage entirely from e-government sites due to their mandatory structure. However, the manifestation of fatigue in e-government is likely to affect the transparency perception and user experience (Choi et al., 2018). Giving that anecdotal evidence supports the positive impacts of information transparency in the general information systems field (see, Abu-Shanab, 2013; Zhou, Weiquan, Xu, Liu, & Gu, 2018; Bol et al., 2018; Oulasvirta, Suomalainen, Hamari, Lampinen, & Karvonen, 2013), this study hypothesizes that information transparency reduces the likelihood of fatigue in e-government and positions the discussion on privacy information and privacy fatigue.

To better understand the effect of privacy information transparency and fatigue in e-government, it is appropriate that specific government activity must be excepted. With these cases out of the way, there is good reason for other routine aspects of e-government. These include data collection, processing and usage policy on other e-government portals be made available to users now that the ability to achieve this abounds and the issue of transparency in e-government has gained significant attention (Bearfield & Bowman, 2017).

Based on the above, and the fact that the phenomenon of privacy fatigue remains vastly unexplored in e-government, this study seeks to discern the information aspects of privacy information transparency in e-government and its impact on privacy fatigue expressed in the form of emotional exhaustion and cynicism behaviour from the perspective of the Consumer Service Life Cycle (CSLC) theory. Largely, it purses two objectives, (a) to investigate privacy information aspects that form the antecedents of privacy information transparency and (b) to examine the effect of privacy information transparency on privacy fatigue.

Section snippets

Information transparency

Information transparency exists as an essential concept in privacy assurance, and its relevance has been addressed by several studies (Granados, Gupta, & Kauffman, 2010; Ibrahim & Narcyz, 2015; Xu, Benbasat, & Cenfetelli, 2011). In transparency across contexts, for instance, in the recommender systems and search engines, transparency depicts a system that facilitates user understanding of how such systems work. Thus, a transparent system enables users to understand how a certain input generates

Hypotheses development

There is the need to evaluate the interrelationships between specific constructs identified from prior studies and how they influence privacy information transparency and privacy fatigue in e-government. This evaluation will require determining the antecedents of privacy information transparency and its influence on privacy fatigue dimensions (i.e., cynicism and emotional exhaustion). This section provides validations for the hypothesized relationships to support the findings' validity from the

Measurement development

Scholars have primarily studied privacy information aspects (i.e., data collection, data processing and data use) and privacy behaviour. This study's measures for these two constructs were adapted from some measurement items found in extant works. For example, ideas developed by (Gursoy, Tamersoy, Truex, & Liu, 2019; Hosseini et al., 2018) proved relevant for this study's item development. We adapted these items to develop new measurement items based on the existing items and ideas drawn from

Model evaluation

Literature on the PLS-SEM's psychometric properties suggests that the measurement items be estimated first before the model and hypothesis testing are done to avoid misinterpreting the structural model (Malhotra, Kim, & Agarwal, 2004). Therefore, in line with this procedure, the analysis first evaluates the measurement items' appropriateness and examines the model. Thus, to assess the measurement items' sufficiency of the model's constructs, the study assesses the constructs' convergent and

Discussion

The analysis explains antecedents of privacy information transparency and empirically validates a model that assesses privacy information transparency's effect on privacy fatigue dimensions in e-government. The model in this study accounts for much of the variance in the endogenous variables. In line with Hair et al. (2016), the R2 coefficient > 10% proves sufficient validity and the model's explanatory power. This study's model showed R2 values above this threshold, thus indicating a good fit.

Limitations of the study

Several limitations are noted with this study and call for further studies in the future in order to address them. Firstly, the investigation into the antecedents of information transparency only considered informational aspects. There are noninformational aspects of transparency, but these were not considered in this study, such as technical mechanisms and the privacy assurance structure of e-government systems. However, in our opinion, this study plays the role of paving the way for future

Declaration of Competing Interest

The authors do not have any conflict of interest.

Divine Q. Agozie is an assistant lecturer in the operations and management information systems department at the University of Ghana Business School. He continues his PhD studies in the department of Management Information Systems at the Cyprus International University. Agozie's research interest concentrates on text mining techniques, organizational communication, digital technologies and social media.

References (74)

  • W.T. Wang et al.

    The stickiness intention of group-buying websites: The integration of the commitment–trust theory and e-commerce success model

    Information and Management

    (2016)
  • S. Zhang et al.

    Do you get tired of socializing? Empirical explanation of discontinuous usage behaviour in social network services

    Information & Management

    (2016)
  • L. Zheng

    Social media in Chinese government: Drivers, challenges and capabilities

    Government Information Quarterly

    (2013)
  • E.A. Abu-Shanab

    The relationship between transparency and e-government: An empirical support

  • A.B. Bakker et al.

    Using the job demands-resources model to predict burnout and performance

    Human Resource Management

    (2004)
  • G. Bansal et al.

    Do context and personality matter? Trust and between expressed privacy concerns and actual online behaviour – A systematic literature review

    Telematics and Informatics

    (2015)
  • D.A. Bearfield et al.

    Can You Find It on the Web?. An Assessment of Municipal E-Government Transparency

    American Review of Public Administration,

    (2017)
  • E. Bertino

    Security with Privacy - Opportunities and Challenges. IEEE 38th Annual International Computers

    Software and Applications Conference. 0730-3157

    (2014)
  • J.C. Bertot et al.

    Social media technology and government transparency

    Computer

    (2010)
  • N. Bol et al.

    Understanding the effects of personalization as a privacy calculus: Analyzing self-disclosure across health, news, and commerce contexts

    Journal of Computer-Mediated Communication

    (2018)
  • P. Bonatti et al.

    Transparent personal data processing: The road ahead

  • R. Cenfetelli et al.

    Interpretation of Formative Measurement in InformationSystems Research

    MIS Quarterly

    (2009)
  • R. Chan

    The Cambridge Analytica whistleblower explains how the firm used Facebook data to sway elections

    (2020)
  • S. Chang et al.

    The Influence of Information Security Stress on Security Policy Compliance: A Protection Motivation Theory Perspective

    PACIS 2018 Proceedings

    (2018)
  • C.U. Ciborra

    Interpreting E-government and Development: Efficiency, Transparency or Governance at a Distance? Bricolage, Care and Information. Technology, Work and Globalization.

    (2009)
  • R. Cropanzano et al.

    The relationship of emotional exhaustion to work attitudes, job performance, and organizational citizenship behaviors

    Journal of Applied Psychology

    (2003)
  • Department of Commerce U.S.

    Quarterly Retail E-Commerce Sales 1st Quarter 2017

    U.S. Census Bureau News

    (2017)
  • A. Diamantopoulos et al.

    Formative vs. reflective indicators in organizational measure development: A comparison and empirical illustration

    British Journal of Management

    (2006)
  • A. Dimoka et al.

    On product uncertainty in online markets: Theory and evidence

    MIS Quarterly

    (2012)
  • Z. Doffman

    1.5m users hit by new Facebook privacy breach as extent of data misuse exposed

  • R.V. Eijk et al.

    The impact of user location on cookie notices (inside and outside of the European union)

  • J. Garcia-Alfaro et al.

    Data privacy management, autonomous spontaneous security, and security assurance: 9th international workshop, DPM 2014, 7th international workshop, SETOP 2014, and 3rd international workshop, QASA 2014, Wroclaw, Poland, September 10–-11, 2014

    (2015)
  • N. Gradados et al.

    Market transparency and multi-channel strategy: Modeling and empirical analysis of online travel agents

    (2006)
  • N. Granados et al.

    Research commentary—Information transparency in business-to-consumer markets: Concepts, framework, and research agenda Inf

    Systems Research

    (2010)
  • N. Granados et al.

    Online strategies for the information age: Information transparency as a dimension of information systems design

    (2008)
  • R. Gupta et al.

    Cyber security assessment education for E-governance systems

  • M.E. Gursoy et al.

    Secure and utility-aware data collection with condensed local differential privacy

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    Divine Q. Agozie is an assistant lecturer in the operations and management information systems department at the University of Ghana Business School. He continues his PhD studies in the department of Management Information Systems at the Cyprus International University. Agozie's research interest concentrates on text mining techniques, organizational communication, digital technologies and social media.

    Tugberk Kaya is an assistant professor in the Department of Management Information Systems at Cyprus International University. He is a member of the board of the e-government management committee, which works under the prime ministry. Kaya is also a fellow at the Institute for Research in Economic and Fiscal Issues. His professional interests are ‘e-government’, ‘knowledge management’, ‘social media’ and ‘process innovation’.

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