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Smartphone multitasking behavior has become prevalent in our daily lives, yet factors influencing smartphone multitasking behavior have not been fully investigated. This study aimed to examine the roles of a set of demographic, personality and motivational factors on smartphone multitasking behavior, and how these factors were related to general and application-specific types of smartphone multitasking behavior.

A cross-sectional study was conducted in which 2,659 smartphone users were invited to complete an online survey on smartphone multitasking behavior. Hierarchical multiple regression analyses were used to examine the roles of demographic, personality and motivational factors on smartphone multitasking behavior.

The results showed that, in general, demographic factors, such as gender, age, occupation status, education and smartphone usage time significantly predicted smartphone multitasking behavior. People characterized by agreeableness, extraversion, neuroticism and openness to experience were more likely to multitask with smartphones. Information seeking, efficiency and habit motivations were identified as major motivational factors for smartphone multitasking behavior. The roles of demographic, personality and motivational factors differed much across varied types of application-specific smartphone multitasking behavior.

This study extends and advances the literature on media multitasking, smartphone multitasking in particular, by identifying a set of demographic, personality and motivational factors as antecedents of smartphone multitasking behavior. In addition, this study revealed the differentiated roles of the above-mentioned factors across varied types of smartphone application usages. The findings provide important implications for practitioners to tailor smartphone applications and services to different target smartphone users and use situations.

The purpose of this study is to explore and identify the privacy concerns of smartphone app users pertinent to app usage.

Adopting a qualitative phenomenological approach, the authors conducted semi-structured interviews with app users to explore the app users' privacy concerns.

Credibility concerns, unauthorised secondary use and vulnerability concerns are the three major privacy concerns of app users, under which these concerns have sub-concerns, i.e. popularity, privacy policy, stalking, data sharing, hacking and personal harm.

The findings are useful to app marketers, app developers and app stores. App marketers, app developers and app stores can use the findings to understand and properly address app users' privacy concerns, thereby increasing the apps usage.

By exploring the privacy concerns of app users, the authors' study extends the literature and provides a theoretical development of individuals' privacy concerns in the context of a widely used technology, i.e. smartphone applications. Accordingly, this study contributes to the consumer privacy literature.

Understanding user behavior is increasingly critical for information security in the use of smartphones. There is, however, lack of empirical studies about the behavior of smartphone users for information security in China. The purpose of this paper is to present an empirical analysis of the behavior of smartphone users in China in relation to information security.

A review of the related literature is conducted, leading to the development of a questionnaire for investigating the behavior of smartphone users. An online survey of the smartphone users in China is conducted. The collected data are analyzed with the use of descriptive analysis and Pearson’s chi-square test to better understand the behavior of smartphone users on information security.

The paper shows that there are serious concerns about information security in the use of smartphones in China including the ignorance of security information in downloading and using applications, inadequate phone settings, inappropriate enabling of add-on utilities and lack of proper disaster recovery plans. The study also reveals that there is a significant difference between different groups of users on information security in smartphone use.

This paper is based on a purposeful sample of smartphone users in China. It is exploratory in nature.

The paper can lead to a better understanding of the behavior of smartphone users and information security in China and provide relevant government departments and institutions with useful information for developing appropriate strategies and policies and designing specific training programs to improve information security in the smartphone use.

This paper is the first of this kind to collect quantitative data from users in China for better understanding the behavior of smartphone users on information security. It provides insight towards the adoption of various measures for information security from the perspective of smartphone users in China.

The purpose of this paper is to investigate the private-data pertaining to the interaction of users with social media applications that can be recovered from second-hand Android devices.

This study uses a black-box testing-principles based methodology to develop use-cases that simulate real-world case-scenarios of the activities performed by the users on the social media application. The authors executed these use-cases in a controlled experiment and examined the Android smartphone to recover the private-data pertaining to these use-cases.

The results suggest that the social media data recovered from Android devices can reveal a complete timeline of activities performed by the user, identify all the videos watched, uploaded, shared and deleted by the user, disclose the username and user-id of the user, unveil the email addresses used by the user to download the application and share the videos with other users and expose the social network of the user on the platform. Forensic investigators may find this data helpful in investigating crimes such as cyber bullying, racism, blasphemy, vehicle thefts, road accidents and so on. However, this data-breach in Android devices is a threat to user's privacy, identity and profiling in second-hand market.

Perceived notion of data sanitisation as a result of application removal and factory-reset can have serious implications. Though being helpful to forensic investigators, it leaves the user vulnerable to privacy breach, identity theft, profiling and social network revealing in second-hand market. At the same time, users' sensitivity towards data-breach might compel users to refrain from selling their Android devices in second-hand market and hamper device recycling.

This study attempts to bridge the literature gap in social media data-breach in second-hand Android devices by experimentally determining the extent of the breach. The findings of this study can help digital forensic investigators in solving crimes such as vehicle theft, road accidents, cybercrimes and so on. It can assist smartphone users to decide whether to sell their smartphones in a second-hand market, and at the same time encourage developers and researchers to design methods of social media data sanitisation.

The purpose of this paper is to examine the effectiveness of smartphone apps in fostering effectual thinking. The paper considers both the effectual development of entrepreneurial ideas and the associated change in entrepreneurial confidence and perceived entrepreneurial skills of students at a UK Higher Education Institution.

The research was conducted with 60 first year undergraduate management students who had not previously undertaken enterprise education. Students were divided into three groups: the first was given a process-based briefing on developing entrepreneurial ideas; the second the process-based briefing and an additional method-based briefing on developing entrepreneurial ideas; while the third the same process-based briefing and use of the smartphone application as a method-based learning tool.

The results show the value of method-based teaching and the potential value of smartphone based learning tool to support independent method-based learning. Compared to the process-based approach, the method-based approach is shown to have an increased effect on the development of entrepreneurial ideas, as well as increasing entrepreneurial confidence and entrepreneurial skill of the participants.

Implications for the future development of enterprise and entrepreneurial education are presented, referring to factors which enable entrepreneurial ideas to be developed and how pedagogical approaches shape this.

The study adds to the emergent literature on enterprise education by evidencing the need to develop new approaches and identify in what ways these may be informed by a more effectual approach.

Currently, ubiquitous smartphones embedded with various sensors provide a convenient way to collect raw sequence data. These data bridges the gap between human activity and multiple sensors. Human activity recognition has been widely used in quite a lot of aspects in our daily life, such as medical security, personal safety, living assistance and so on.

To provide an overview, the authors survey and summarize some important technologies and involved key issues of human activity recognition, including activity categorization, feature engineering as well as typical algorithms presented in recent years. In this paper, the authors first introduce the character of embedded sensors and dsiscuss their features, as well as survey some data labeling strategies to get ground truth label. Then, following the process of human activity recognition, the authors discuss the methods and techniques of raw data preprocessing and feature extraction, and summarize some popular algorithms used in model training and activity recognizing. Third, they introduce some interesting application scenarios of human activity recognition and provide some available data sets as ground truth data to validate proposed algorithms.

The authors summarize their viewpoints on human activity recognition, discuss the main challenges and point out some potential research directions.

It is hoped that this work will serve as the steppingstone for those interested in advancing human activity recognition.

The purpose of this study is to investigate the determinants of behavioral intention to use smartphone diet applications within the emerging market. Specifically, it focuses on the Privacy Calculus Model constructs, encompassing perceived risk and perceived benefit, as well as the pivotal elements of trust and self-efficacy. It also explores the moderating influence of experience on the influencing factors and intention to use a diet application.

In a survey with 572 respondents, data analysis was conducted using partial least squares (PLS) structural equation modeling.

The findings reveal that perceived risk exerts a significant negative influence on behavioral intention. Conversely, perceived benefit, trust and self-efficacy exhibit a positive impact on behavioral intention. Moreover, the study delves into the moderating role of users' experience, which is found to significantly influence these relationships, suggesting that user experience plays a pivotal role in shaping the adoption dynamics of diet applications.

The limitations of this study may include the sample size and the specific focus on the emerging market of Saudi Arabia. The implications of the findings are relevant for scholars, developers, marketers, and policymakers seeking to promote the use of smartphone diet applications.

This study adds value by exploring the determinants of behavioral intention in the context of smartphone diet applications, and it is a first attempt to test the moderating role of users' experiences, providing valuable insights for various stakeholders in the field.

The purpose of this paper is to examine the effects of interaction techniques (e.g. swiping and tapping) and the range of thumb movement on interactivity, engagement, attitude, and behavioral intention in single-handed interaction with smartphones.

A 2×2 between-participant experiment (technological features: swiping and tapping×range of thumb movement: wide and narrow) was conducted to study the effects of interaction techniques and thumb movement ranges.

The results showed that the range of thumb movement had significant effects on perceived interactivity, engagement, attitude, and behavioral intention, whereas no effects were observed for interaction techniques. A narrow range of thumb movement had more influence on the interactivity outcomes in comparison to a wide range of thumb movement.

While the subject of actual and perceived interactivity has been discussed, the issue has not been applied to smartphone. Based on the research results, the mobile industry may come up with a design strategy that balances feature- and perception-based interactivity.

This study adopted the perspective of the hybrid definition of interactivity, which includes both actual and perceived interactivity. Interactivity effect outcomes mediated by perceived interactivity.

The popularity of mobile technologies and applications is constantly growing and undoubtedly changing consumers’ and providers’ behavior. The purpose of this study is to provide a comprehensive systematic literature review of academic research related to mobile technologies and applications in smart tourism published between 2012 and June 2017.

Published peer-reviewed articles were gathered from the three largest and most popular online databases and search engines – EBSCO host, Science Direct and Google Scholar and ENTER conference proceedings. Based on a keyword-driven search and content analysis, 126 articles were determined to be relevant to this study.

Selected publications were analyzed in accordance with the proposed research questions and thematically classified into three main categories: consumer perspective, technological perspective and provider perspective. The findings contribute to a better overall understanding of recent research into mobile technologies and applications in smart tourism by presenting the main results, methods, trends and other insights of relevant publications.

Although the researchers used two databases, one search engine and ENTER conference proceedings to collect articles, there is the possibility that some studies connected to the topic were not included. The study did not include books, other conference proceedings, literature reviews, theses, business reports and other possibly relevant publications.

This study provides a systematic review of the most recent published academic research (2012-June 2017; also including “Online First” articles) on mobile technologies and applications in smart tourism. The results of this study provide an agenda for future research in tourism and hospitality industry by identifying major trends and developments in smart tourism.

In a converged and smart media environment, it no longer makes sense to talk only of a digital divide based on access to a platform – instead, a new “smartphone divide” is created based on a user’s ability to access and use an array of different services. Although there is an extensive literature on the digital divide in broadband access and use, zero research efforts have addressed the digital divide in mobile phone usage. Therefore, this research study aims to fill the gap in the literature by looking into new dimensions of the smartphone divide.

Data were collected from a college student sample through an online survey and some hypotheses were framed and tested for intergroup (smartphone users vs non-users) and intragroup (active smartphone users vs inactive users) differences based on access, experience and persistence of usage.

Findings are: first, smartphone users were more active online as expected. Although no significant difference was detected in the amount of time spent on social networking sites (SNSs) between smartphone users and non-users, smartphone users had more friends online and more “online-only” friends than non-users. Second, smartphone users seem to participate more actively in social and political issues than non-users do. Third, active users were adopting digital technologies faster than less active users, and active users were inclined to spend longer time on SNSs than less active users. Also, active users used more free and paid applications on their smartphones compared to less active users.

This research study aims to fill the gap in the literature by looking into new dimensions of the smartphone divide and exploring the differential usage of smartphone users in terms of usage level, awareness and usability levels, usage scope and consequential uses controlling for demographics and socioeconomic status. The ensuing pilot study validates some of speculations suggested in the previous literature.