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Article
Publication date: 9 September 2021

Xiaobo Mou, Fang Xu and Jia Tina Du

The purpose of this study is to explore the effects of recommendation algorithm, product reputation, new product novelty, privacy concern and privacy protection behavior…

Abstract

Purpose

The purpose of this study is to explore the effects of recommendation algorithm, product reputation, new product novelty, privacy concern and privacy protection behavior on users’ satisfaction and continuance intention to use short-form video application (APP).

Design/methodology/approach

Based on the existing theories, the research model of this study was developed and 445 valid data were collected through a questionnaire survey. The partial least squares structural equation modeling (PLS-SEM) was employed for data analysis to test the research model and hypotheses.

Findings

The results reveal that the recommendation algorithm has a significant positive effect on user satisfaction, new product novelty and privacy concern. The influence of recommendation algorithm on privacy concern is negatively moderated by product reputation. Privacy concern has a significant and positive impact on privacy protection behavior, and privacy protection behavior has a significant and positive impact on user satisfaction. New product novelty also has significant impact on user satisfaction.

Originality/value

This study is one of the earliest studies to incorporate recommendation algorithm as a construct into the college students’ continuance intention to use short-form video APP. The influence of reputation as a moderator variable on the relationship between algorithm and privacy concerns is also investigated.

Details

Aslib Journal of Information Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2050-3806

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Article
Publication date: 7 September 2021

Jeanette Carlsson Hauff and Jonas Nilsson

During 2020, governments around the world introduced contact-tracing apps to fight the COVID-19 pandemic. In order for contact-tracing apps to be efficient tools in…

Abstract

Purpose

During 2020, governments around the world introduced contact-tracing apps to fight the COVID-19 pandemic. In order for contact-tracing apps to be efficient tools in combatting pandemics, a significant proportion of the population has to install it. However, in many countries, the success of apps introduced during the COVID-19 pandemic has been limited due to lack of public support. This paper aims to better understand why consumers seem unwilling to install and use a contact-tracing app.

Design/methodology/approach

In this study, the authors test a number of determinants hypothesized to influence acceptance of contact-tracing apps based on the theory of privacy calculus (Dinev and Hart, 2006). Both perceived privacy concerns, as well as perceived hedonic, utilitarian and pro-social benefits are included. The hypotheses are tested through SEM analysis on a representative sample of 1,007 Swedish citizens.

Findings

The results indicate significant privacy concerns with using contact-tracing apps. However, this is to some extent offset by perceived hedonic and pro-social positive consequences of using the app. This study further shows that a general positive attitude towards innovation increases acceptance of the app.

Originality/value

The study contributes to research on consumer privacy, both in general in its application of the calculus model but also specifically in the context of contact-tracing apps. Moreover, as the results highlight which aspects that are important for consumers to accept and install an app of this kind, they also represent an important contribution to policymakers in countries around the world.

Details

Journal of Consumer Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0736-3761

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Article
Publication date: 9 September 2021

Hamid Reza Nikkhah and Rajiv Sabherwal

In this research, the authors focus on mobile cloud computing (MCC) collaboration apps that are multiplatform and send the users’ data to the cloud. Despite their…

Abstract

Purpose

In this research, the authors focus on mobile cloud computing (MCC) collaboration apps that are multiplatform and send the users’ data to the cloud. Despite their benefits, MCC collaboration apps raise privacy concerns, as the users’ information is sent to the cloud where users lack direct control. This study aims to investigate why users disclose information to MCC apps despite privacy concerns and examine the effect of security and assurance mechanisms (i.e. privacy policies and ISO/IEC 27018 certification) on users’ perceptions and information disclosure. Based on three surveys conducted in 2016 (n = 515), 2017 (n = 505) and 2018 (n = 543), this study finds mixed results regarding the relationships among security, assurance mechanisms, utilitarian benefits and information disclosure.

Design/methodology/approach

This study conducted three scenario-based surveys in the USA in 2016 (n = 515), 2017 (n = 505) and 2018 (n = 543).

Findings

This study finds mixed results of relationships among security, assurance mechanisms, utilitarian benefit and information disclosure.

Originality/value

With proliferation of MCC apps, the investigation of how users make privacy decision to disclose personal information to these apps is sparse. This study, for the first time, investigates whether the signals of assurance mechanism decrease users’ privacy concerns. This study also examines the interplay between security and privacy within information disclosure behavior. Finally, this study was conducted in 3 years to enhance the generalizability and robustness of findings.

Details

Information Technology & People, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 14 May 2020

Gajendra Liyanaarachchi

This paper aims to demonstrate how building competency in privacy can be used to transform the corporate strategy to generate a sustainable competitive advantage. A novel…

Abstract

Purpose

This paper aims to demonstrate how building competency in privacy can be used to transform the corporate strategy to generate a sustainable competitive advantage. A novel framework is presented as a guide to redesigning strategy by striking a balance between customer expectation and organizational objectives. In doing so, the paper offers four possible outcomes of accommodation, accumulation, association and affiliation, providing illustrations to each scenario for strategy formulation.

Design/methodology/approach

The relationship between privacy paradox and corporate strategy was examined through a qualitative research study. The author conducted 30 in-depth interviews on grounded theory methodology investigating customer insights on the nature and extent of privacy protection associated with e-commerce and organizational approach.

Findings

The customers are dissatisfied with existing data security strategies adopted by firms in protecting privacy. The over-reliance on systems has negatively influenced the communication between the organization and customers, leading to a possible competitive disadvantage. The firms need to redesign privacy strategy shifting from a system-driven approach to providing personalized service.

Originality/value

This paper presents a novel framework the privacy strategy matrix (PSM), introducing privacy as a strategic expedient in transforming corporate strategy facilitating privacy protection as a metaphor for differentiation. PSM framework provides a standard to evaluate the effectiveness of the corporate strategy in managing privacy manifesting a path toward deriving a sustainable competitive advantage.

Details

Journal of Business Strategy, vol. 41 no. 5
Type: Research Article
ISSN: 0275-6668

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Article
Publication date: 13 September 2021

Mona Natasha Siahaan, Putu Wuri Handayani and Fatimah Azzahro

In the context of social media (SM) use, self-disclosure (SD) behaviour meets users' social and emotional needs, but it is also accompanied by risks that can harm users…

Abstract

Purpose

In the context of social media (SM) use, self-disclosure (SD) behaviour meets users' social and emotional needs, but it is also accompanied by risks that can harm users. This paper aims to identify the factors that influence users' SD behaviour on SM in Indonesia, using a comparative analysis based on age groups.

Design/methodology/approach

A survey was conducted on 2,210 respondents who were active SM users in Indonesia. Data were processed and analysed using covariance-based structural equation modelling with AMOS 24.0 software.

Findings

Results indicate that, in the overall age group data, factors such as use of information (UI), trust, privacy control (PC), interactivity, perceived benefits (PB) and perceived risks (PR) influence users' SD behaviour. This research also found differences in the characteristics of SD behaviour between age groups.

Originality/value

Findings from this study can help SM service providers to evaluate the credibility and reliability of their platforms to encourage user retention.

Details

Information Technology & People, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0959-3845

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Article
Publication date: 3 September 2021

Anca C. Yallop, Oana A. Gică, Ovidiu I. Moisescu, Monica M. Coroș and Hugues Séraphin

Big data and analytics are being increasingly used by tourism and hospitality organisations (THOs) to provide insights and to inform critical business decisions…

Abstract

Purpose

Big data and analytics are being increasingly used by tourism and hospitality organisations (THOs) to provide insights and to inform critical business decisions. Particularly in times of crisis and uncertainty data analytics supports THOs to acquire the knowledge needed to ensure business continuity and the rebuild of tourism and hospitality sectors. Despite being recognised as an important source of value creation, big data and digital technologies raise ethical, privacy and security concerns. This paper aims to suggest a framework for ethical data management in tourism and hospitality designed to facilitate and promote effective data governance practices.

Design/methodology/approach

The paper adopts an organisational and stakeholder perspective through a scoping review of the literature to provide an overview of an under-researched topic and to guide further research in data ethics and data governance.

Findings

The proposed framework integrates an ethical-based approach which expands beyond mere compliance with privacy and protection laws, to include other critical facets regarding privacy and ethics, an equitable exchange of travellers’ data and THOs ability to demonstrate a social license to operate by building trusting relationships with stakeholders.

Originality/value

This study represents one of the first studies to consider the development of an ethical data framework for THOs, as a platform for further refinements in future conceptual and empirical research of such data governance frameworks. It contributes to the advancement of the body of knowledge in data ethics and data governance in tourism and hospitality and other industries and it is also beneficial to practitioners, as organisations may use it as a guide in data governance practices.

Details

Journal of Consumer Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0736-3761

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Article
Publication date: 10 July 2009

Chen Jianping and Yang Zhongwei

The purpose of this paper is to examine the extent to which financial privacy is present and necessary in dealings between banks and clients in China.

Abstract

Purpose

The purpose of this paper is to examine the extent to which financial privacy is present and necessary in dealings between banks and clients in China.

Design/methodology/approach

This paper provides a comparative study drawing, in particular, on developments in the USA.

Findings

It is a trend in legislation in the western developed countries that the right to privacy is taken seriously and private information in the financial activities is protected by law. The legislation in the USA is typically systematic and complete. The fact that financial privacy protection is sparsely stipulated in finance or administrative laws but the protection of privacy has yet not been systematically written into law in China so far, which is inconsistent with the current situations of the financial industry. China should deal with the relationship between banks and clients, administrative power and personal rights, judicial interpretation and legislation from the aspect of financial practice, so as to set up the legal system to protect financial privacy by learning from the legislation in the USA based on the national conditions.

Originality/value

The paper provides a systematic view of the value of financial privacy in the modern world, with recommendations for reform in China.

Details

International Journal of Law and Management, vol. 51 no. 4
Type: Research Article
ISSN: 1754-243X

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Article
Publication date: 21 March 2008

Vasilios Katos and Ahmed Patel

This paper aims to propose a tool to help policy makers understand the dynamic relationships between security and privacy on a strategic (macro) level.

Abstract

Purpose

This paper aims to propose a tool to help policy makers understand the dynamic relationships between security and privacy on a strategic (macro) level.

Design/methodology/approach

The methodology is ported from the discipline of Macroeconomics, and applied to the information security and privacy domain. The methodology adopted is the so‐called “cross methodology” which claims ownership of the well‐known supply/demand market equilibrium exercise.

Findings

Early evaluation reveals that this is a potentially very effective tool in understanding societal behaviour and position towards information security and privacy and therefore makes this a suitable tool for investigating and exploring scenarios that can assist in policy making.

Originality/value

Up to date, research on the economics of security and privacy has been primarily focusing on a micro level. The main contribution of this paper is a methodology for investigating privacy and security on a macro level. We believe that our approach in undertaking this research is new and looking at the issues and relationships between security and privacy at a macro level, gives a better understanding of the problems at hand and how to resolve them.

Practical implications

The proposed tool may increase the efficiency of policy making and planning as it enables the policy makers on a governmental and strategic level to run scenarios in order to investigate the effect of their decisions (for example, an introduction of a stricter law relating to computer misuse) to the delicate balance of security and privacy.

Details

Information Management & Computer Security, vol. 16 no. 1
Type: Research Article
ISSN: 0968-5227

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Article
Publication date: 24 August 2021

K. Sujatha and V. Udayarani

The purpose of this paper is to improve the privacy in healthcare datasets that hold sensitive information. Putting a stop to privacy divulgence and bestowing relevant…

Abstract

Purpose

The purpose of this paper is to improve the privacy in healthcare datasets that hold sensitive information. Putting a stop to privacy divulgence and bestowing relevant information to legitimate users are at the same time said to be of differing goals. Also, the swift evolution of big data has put forward considerable ease to all chores of life. As far as the big data era is concerned, propagation and information sharing are said to be the two main facets. Despite several research works performed on these aspects, with the incremental nature of data, the likelihood of privacy leakage is also substantially expanded through various benefits availed of big data. Hence, safeguarding data privacy in a complicated environment has become a major setback.

Design/methodology/approach

In this study, a method called deep restricted additive homomorphic ElGamal privacy preservation (DR-AHEPP) to preserve the privacy of data even in case of incremental data is proposed. An entropy-based differential privacy quasi identification and DR-AHEPP algorithms are designed, respectively, for obtaining privacy-preserved minimum falsified quasi-identifier set and computationally efficient privacy-preserved data.

Findings

Analysis results using Diabetes 130-US hospitals illustrate that the proposed DR-AHEPP method is more significant in preserving privacy on incremental data than existing methods. A comparative analysis of state-of-the-art works with the objective to minimize information loss, false positive rate and execution time with higher accuracy is calibrated.

Originality/value

The paper provides better performance using Diabetes 130-US hospitals for achieving high accuracy, low information loss and false positive rate. The result illustrates that the proposed method increases the accuracy by 4% and reduces the false positive rate and information loss by 25 and 35%, respectively, as compared to state-of-the-art works.

Details

International Journal of Intelligent Computing and Cybernetics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1756-378X

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Article
Publication date: 31 August 2021

Marta Yuan-Chen Lin, Ben-Roy Do, Tessa Tien Nguyen and Julian Ming-Sung Cheng

This research attempts to evaluate the effects of personal innovativeness and the perceived value of disclosure on the hierarchical nature of privacy concerns under the…

Abstract

Purpose

This research attempts to evaluate the effects of personal innovativeness and the perceived value of disclosure on the hierarchical nature of privacy concerns under the contingency of self-control when using proximity Bluetooth-beacon technology (PBBT) service in proximity marketing.

Design/methodology/approach

The field study takes place in areas where PBBT service is installed in Taipei, Taiwan. A quota sampling approach is used, with 401 qualified respondents participating. The data are analyzed using the partial least square method.

Findings

The results confirm the importance of personal innovativeness and perceived value of disclosure as an important determinant to influence privacy concerns about data collection. It is also found that self-control plays a negative moderating role in these two relationships. Moreover, data collection is found to be a fundamental concern leading to other privacy concern facets.

Originality/value

This research represents a pioneer work in proximity marketing regarding how privacy concerns are influenced and how privacy concerns facets are causal-related when using a PBBT platform. More detailed, conditional insight is given as the research is studied under the contingency of self-control. A set of applicable guidelines with empirical evidence is thus provided.

Details

Journal of Research in Interactive Marketing, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 2040-7122

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