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1 – 10 of 17
Article
Publication date: 9 January 2024

Ananda Dwitha Yuniar

Privacy is a sensitive issue in business because it involves how a platform uses consumer personal data. In terms of consumer rights, personal information needs to be protected in…

Abstract

Purpose

Privacy is a sensitive issue in business because it involves how a platform uses consumer personal data. In terms of consumer rights, personal information needs to be protected in the privacy policy (PP). This study describes several aspects of the PP that consumers need to pay attention to, especially points prone to misuse of personal information.

Design/methodology/approach

This research used a taxonomy of consumer privacy concerns in e-commerce to reveal general and specific privacy concerns. The privacy calculus theory was also applied to explore consumer rationalization using (1) consumer knowledge about PP, (2) subjective perception, and (3) proximity to the PP features. Furthermore, the netnographic approach was used to combine the interrelation between technology and social construction. A sample of 378 young consumers in several major cities in Indonesia participated online and offline. Semi-structured interviews were also conducted to gain more in-depth comprehension.

Findings

The results showed that most young consumers have sufficient basic knowledge of the important points of PP. Furthermore, they tend not to read the PP because it is long and cumbersome, and therefore do not wish to expend much cognitive effort on it.

Originality/value

This study provides several results that can be utilized by policymakers or e-commerce companies to pay more attention to PPs for young groups. In addition, e-commerce companies can increase the knowledge of the privacy situation of Internet users in general.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-11-2022-0740

Details

International Journal of Social Economics, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 0306-8293

Keywords

Article
Publication date: 29 February 2024

Atefeh Hemmati, Mani Zarei and Amir Masoud Rahmani

Big data challenges and opportunities on the Internet of Vehicles (IoV) have emerged as a transformative paradigm to change intelligent transportation systems. With the growth of…

Abstract

Purpose

Big data challenges and opportunities on the Internet of Vehicles (IoV) have emerged as a transformative paradigm to change intelligent transportation systems. With the growth of data-driven applications and the advances in data analysis techniques, the potential for data-adaptive innovation in IoV applications becomes an outstanding development in future IoV. Therefore, this paper aims to focus on big data in IoV and to provide an analysis of the current state of research.

Design/methodology/approach

This review paper uses a systematic literature review methodology. It conducts a thorough search of academic databases to identify relevant scientific articles. By reviewing and analyzing the primary articles found in the big data in the IoV domain, 45 research articles from 2019 to 2023 were selected for detailed analysis.

Findings

This paper discovers the main applications, use cases and primary contexts considered for big data in IoV. Next, it documents challenges, opportunities, future research directions and open issues.

Research limitations/implications

This paper is based on academic articles published from 2019 to 2023. Therefore, scientific outputs published before 2019 are omitted.

Originality/value

This paper provides a thorough analysis of big data in IoV and considers distinct research questions corresponding to big data challenges and opportunities in IoV. It also provides valuable insights for researchers and practitioners in evolving this field by examining the existing fields and future directions for big data in the IoV ecosystem.

Details

International Journal of Pervasive Computing and Communications, vol. 20 no. 2
Type: Research Article
ISSN: 1742-7371

Keywords

Article
Publication date: 13 September 2022

Haixiao Dai, Phong Lam Nguyen and Cat Kutay

Digital learning systems are crucial for education and data collected can analyse students learning performances to improve support. The purpose of this study is to design and…

Abstract

Purpose

Digital learning systems are crucial for education and data collected can analyse students learning performances to improve support. The purpose of this study is to design and build an asynchronous hardware and software system that can store data on a local device until able to share. It was developed for staff and students at university who are using the limited internet access in areas such as remote Northern Territory. This system can asynchronously link the users’ devices and the central server at the university using unstable internet.

Design/methodology/approach

A Learning Box has been build based on minicomputer and a web learning management system (LMS). This study presents different options to create such a system and discusses various approaches for data syncing. The structure of the final setup is a Moodle (Modular Object Oriented Developmental Learning Environment) LMS on a Raspberry Pi which provides a Wi-Fi hotspot. The authors worked with lecturers from X University who work in remote Northern Territory regions to test this and provide feedback. This study also considered suitable data collection and techniques that can be used to analyse the available data to support learning analysis by the staff. This research focuses on building an asynchronous hardware and software system that can store data on a local device until able to share. It was developed for staff and students at university who are using the limited internet access in areas such as remote Northern Territory. This system can asynchronously link the users’ devices and the central server at the university using unstable internet. Digital learning systems are crucial for education, and data collected can analyse students learning performances to improve support.

Findings

The resultant system has been tested in various scenarios to ensure it is robust when students’ submissions are collected. Furthermore, issues around student familiarity and ability to use online systems have been considered due to early feedback.

Research limitations/implications

Monitoring asynchronous collaborative learning systems through analytics can assist students learning in their own time. Learning Hubs can be easily set up and maintained using micro-computers now easily available. A phone interface is sufficient for learning when video and audio submissions are supported in the LMS.

Practical implications

This study shows digital learning can be implemented in an offline environment by using a Raspberry Pi as LMS server. Offline collaborative learning in remote communities can be achieved by applying asynchronized data syncing techniques. Also asynchronized data syncing can be reliably achieved by using change logs and incremental syncing technique.

Social implications

Focus on audio and video submission allows engagement in higher education by students with lower literacy but higher practice skills. Curriculum that clearly supports the level of learning required for a job needs to be developed, and the assumption that literacy is part of the skilled job in the workplace needs to be removed.

Originality/value

To the best of the authors’ knowledge, this is the first remote asynchronous collaborative LMS environment that has been implemented. This provides the hardware and software for opportunities to share learning remotely. Material to support low literacy students is also included.

Details

Interactive Technology and Smart Education, vol. 21 no. 1
Type: Research Article
ISSN: 1741-5659

Keywords

Book part
Publication date: 25 October 2023

Ali Katouzian Bolourforoush and Hamid Jahankhani

Banking traces back to 2000 BC in Assyria, India and Sumeria. Merchants used to give grain loans to farmers and traders to carry goods between cities. In ancient Greece and Roman…

Abstract

Banking traces back to 2000 BC in Assyria, India and Sumeria. Merchants used to give grain loans to farmers and traders to carry goods between cities. In ancient Greece and Roman Empire, lenders in temples, provided loans, and accepted deposits while performed change of money. The archaeological evidence uncovered in India and China corroborates this. The major development in banking came predominantly in the mediaeval, Renaissance Italy, with the major cities Florence, Venice and Genoa being the financial centres. Technology has become an inherent and integral part of our lives. We are generating a huge amount of data in transfer, storage and usage, with greater demands of ubiquitous accessibility, inducing an enormous impact on industry and society. With the emergence of smarter cities and societies, the security challenges pertinent to data become greater, impending impact on the consumer protection and security. The aim of this chapter is to highlight if SSI and passwordless authentication using FIDO-2 protocol assuage security concerns such as authentication and authorisation while preserving the individual's privacy.

Details

Technology and Talent Strategies for Sustainable Smart Cities
Type: Book
ISBN: 978-1-83753-023-6

Keywords

Open Access
Book part
Publication date: 29 November 2023

Abstract

Details

The Emerald Handbook of Research Management and Administration Around the World
Type: Book
ISBN: 978-1-80382-701-8

Article
Publication date: 14 June 2023

Joseph Lok-Man Lee, Vanessa Liu and Calvin Cheng

Unlike traditional products and services, customer motivation to purchase green products/services may be due to non-marketing factors, such as their personal values about health…

Abstract

Purpose

Unlike traditional products and services, customer motivation to purchase green products/services may be due to non-marketing factors, such as their personal values about health. In this study, the authors aim to propose and validate an integrative model using both advertising attitude factors and health beliefs to explain purchase intention and word of mouth in the context of green marketing. The authors focus specifically on collectivist consumers as values and social norms that tend to be more salient in driving their decisions.

Design/methodology/approach

The model was tested empirically using a survey study with 308 Chinese consumers in Hong Kong. The data were analyzed using confirmatory composite analysis (CCA) and partial least squares structural equation modeling.

Findings

All health beliefs were significant predictors of green advertising attitude. Green satisfaction fully mediates the relationship between green advertising attitude and positive word of mouth for products and services with green advertising for collectivist Chinese consumers. Meanwhile, green satisfaction partially mediates the relationship between green advertising attitude and purchase intention. In addition, green brand equity partially mediates the green advertising attitude–purchase intention/positive word of mouth link.

Practical implications

The significant impacts of health belief factors on green advertising attitude present important implications to advertising managers in terms of the use of information appeal in promoting green products/services. Green brand equity should also be developed in order to optimize green advertising effectiveness, especially in the context of collectivist customers.

Originality/value

This research is one of the first few studies investigating the mediating role of green satisfaction and green brand equity for collectivist consumer behaviors based on the health belief model (HBM).

Details

Asia Pacific Journal of Marketing and Logistics, vol. 35 no. 12
Type: Research Article
ISSN: 1355-5855

Keywords

Article
Publication date: 30 October 2023

Melanie Moore Koskie, Ryan E. Freling, William B. Locander and Traci H. Freling

This study aims to explore and extend the consumer–brand relationship literature by integrating the relatively new construct of brand coolness with a growing body of work on…

Abstract

Purpose

This study aims to explore and extend the consumer–brand relationship literature by integrating the relatively new construct of brand coolness with a growing body of work on gratitude. Specifically, gratitude is explored alongside emotional brand attachment as an additional mechanism affecting the relationship between cool brands and the loyalty outcome of repurchase intention. Consumption context is examined as a boundary condition to the effect of gratitude.

Design/methodology/approach

Data was collected from an online survey of a Qualtrics panel of 356 US consumers. A moderated mediation model is used to explain the effects of brand coolness on repurchase intention via emotional brand attachment and brand gratitude in the moderating presence of consumption context.

Findings

Brand coolness significantly increases repurchase intention. Furthermore, emotional brand attachment and brand gratitude are established as parallel mediators of the relationship between brand coolness and repurchase intention, with brand gratitude exhibiting a significantly stronger mediated effect. The impact of brand coolness on brand gratitude is moderated by social visibility, with publicly consumed cool brands stimulating greater brand gratitude than their privately consumed counterparts.

Originality/value

Brand gratitude is shown to influence repurchase intention independent of the impact exerted by consumers’ emotional brand attachment. Cognitive appraisal theory is used to distinguish brand gratitude from other mediators studied in consumer–brand relationships. Findings establish the moderating influence of the social visibility of the brand on the relationship between brand coolness and gratitude.

Details

Journal of Product & Brand Management, vol. ahead-of-print no. ahead-of-print
Type: Research Article
ISSN: 1061-0421

Keywords

Article
Publication date: 26 September 2022

Tulsi Pawan Fowdur and Lavesh Babooram

The purpose of this paper is geared towards the capture and analysis of network traffic using an array ofmachine learning (ML) and deep learning (DL) techniques to classify…

48

Abstract

Purpose

The purpose of this paper is geared towards the capture and analysis of network traffic using an array ofmachine learning (ML) and deep learning (DL) techniques to classify network traffic into different classes and predict network traffic parameters.

Design/methodology/approach

The classifier models include k-nearest neighbour (KNN), multilayer perceptron (MLP) and support vector machine (SVM), while the regression models studied are multiple linear regression (MLR) as well as MLP. The analytics were performed on both a local server and a servlet hosted on the international business machines cloud. Moreover, the local server could aggregate data from multiple devices on the network and perform collaborative ML to predict network parameters. With optimised hyperparameters, analytical models were incorporated in the cloud hosted Java servlets that operate on a client–server basis where the back-end communicates with Cloudant databases.

Findings

Regarding classification, it was found that KNN performs significantly better than MLP and SVM with a comparative precision gain of approximately 7%, when classifying both Wi-Fi and long term evolution (LTE) traffic.

Originality/value

Collaborative regression models using traffic collected from two devices were experimented and resulted in an increased average accuracy of 0.50% for all variables, with a multivariate MLP model.

Details

International Journal of Pervasive Computing and Communications, vol. 19 no. 5
Type: Research Article
ISSN: 1742-7371

Keywords

Article
Publication date: 4 December 2023

Patience Tunji-Olayeni, Clinton Aigbavboa, Ayodeji Oke and Nissi Chukwu

Industry 5.0 provides significant social, environmental and economic benefits over previous industrial revolutions. However, research in the field of industry 5.0 is still at a…

Abstract

Purpose

Industry 5.0 provides significant social, environmental and economic benefits over previous industrial revolutions. However, research in the field of industry 5.0 is still at a very nascent stage. Little is known about research trends in the field and its applications in specific sectors as construction which have relatively low sustainability index. Hence, this study aims to explore research trends in industry 5.0 and its applications in the construction industry.

Design/methodology/approach

The study adopted a bibliometric analysis with the use of the vosviewer. The main search words used in the study were “Industry 5.0”, “Society 5.0” AND “Fifth Industrial Revolution”. Initial extracted papers with these keywords were 1036. After refining based on language, document type, key words and timeframe, a total of 188 papers were found suitable for the analysis.

Findings

The most impactful research on Industry 5.0 to date was from the United States, Australia and Sweden while the journal sustainability was found to be the highest document source on Industry 5.0. The application areas of industry 5.0 in the construction industry include health and safety, collaborative working, waste management, measurement of environmental features (indoor air quality, atmospheric pressure, noise, humidity and temperature) and forecasting of environmental, social or financial outcomes.

Research limitations/implications

The study used review based papers which form the bulk of the existing research on industry 5.0. This limits understanding of the practical applications, benefits and challenges associated with the use of industry 5.0.

Originality/value

This work contributes to the theory and practice of industry 5.0 by providing baseline data for future research directions on industry 5.0. The work specifically highlights the application areas of industry 5.0 in the construction industry and also indicates the need for questionnaire, interviews or case study based research to enhance understanding of the practical applications of industry 5.0.

Details

Technological Sustainability, vol. 3 no. 1
Type: Research Article
ISSN: 2754-1312

Keywords

Article
Publication date: 16 January 2023

Koustab Ghosh, Sweta Sinha and Dheeraj Sharma

This paper introduces “virtual fun at the virtual workplace” and conceptualizes its impact on virtual socialization and the formation of virtual professional ties. The conceptual…

Abstract

Purpose

This paper introduces “virtual fun at the virtual workplace” and conceptualizes its impact on virtual socialization and the formation of virtual professional ties. The conceptual model also recognizes the moderation of a few variables: “awareness of being observed,” “diversity in the virtual workplace” and “virtual impression management.”

Design/methodology/approach

The paper takes a theoretical approach to develop a conceptual framework of virtual fun in the virtual workplace, drawing on social exchange theory (SET) and social network theory (SNT).

Findings

The study extends the tenets of the SET and extends the applicability of SNT to a virtual workplace. The study suggests that managers should introduce semi-organized virtual fun during scheduled breaks within work hours to aid in virtual socialization, which further aids in the formation and strengthening of “professional ties” in the virtual workplace.

Originality/value

This study is the first of its kind to conceptualize a model for virtual fun in the virtual workplace.

Details

Benchmarking: An International Journal, vol. 30 no. 10
Type: Research Article
ISSN: 1463-5771

Keywords

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