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This research aims to understand the smartphone security behavior using protection motivation theory (PMT) and tests the current PMT model employing statistical and predictive analysis using machine learning (ML) algorithms.

This study employs a total of 241 questionnaire-based responses in a nonmandated security setting and uses multimethod approach. The research model includes both security intention and behavior making use of a valid smartphone security behavior scale. Structural equation modeling (SEM) – explanatory analysis was used in understanding the relationships. ML algorithms were employed to predict the accuracy of the PMT model in an experimental evaluation.

The results revealed that the threat-appraisal element of the PMT did not have any influence on the intention to secure smartphone while the response efficacy had a role in explaining the smartphone security intention and behavior. The ML predictive analysis showed that the protection motivation elements were able to predict smartphone security intention and behavior with an accuracy of 73%.

The findings imply that the response efficacy of the individuals be improved by cybersecurity training programs in order to enhance the protection motivation. Researchers can test other PMT models, including fear appeals to improve the predictive accuracy.

This study is the first study that makes use of theory-driven SEM analysis and data-driven ML analysis to bridge the gap between smartphone security’s theory and practice.

This study aims to focus on how smartphone addiction impacts young consumer behavior related to mobile technology (i.e. the compulsive app downloading tendency). After a thorough literature review and following the risk and protective factors framework, this study explores factors that could mitigate its effects (resilience, family harmony, perceived social support and social capital).

The study used the covariance-based structural equation modeling approach to analyze data collected from 275 Generation Z (Gen Z) smartphone users in Spain.

Results suggest that resilience is a critical factor in preventing smartphone addiction, and smartphone addiction boosts the compulsive app downloading tendency, a relevant downside for younger Gen Z consumers.

Through the lens of the risk and protective factors framework, this study focuses on protective factors to prevent smartphone addiction and its negative side effects on app consumption. It also offers evidence of younger consumers’ vulnerability to smartphone addiction, not because of the device itself but because of app-consumption-related behaviors.

Smartphone apps collect users' personal information, which triggers privacy concerns for app users. Consequently, app users restrict apps from accessing their personal information. This may impact the effectiveness of in-app advertising. However, research has not yet demonstrated what factors impact app users' decisions to use apps with restricted permissions. This study is aimed to bridge this gap.

Using a quantitative research method, the authors collected the data from 384 app users via a structured questionnaire. The data were analysed using AMOS and fuzzy-set qualitative comparative analysis (fsQCA).

The findings suggest privacy concerns and risks have a significant positive effect on app usage with restricted permissions, whilst reputation, trust and perceived benefits have significant negative impact on it. Some app-related factors, such as the number of apps installed and type of apps, also impact app usage with restricted permissions.

Based on the findings, the authors provided several implications for app stores, app developers and app marketers.

This study examines the factors that influence smartphone users' decisions to use apps with restricted permission requests. By doing this, the authors' study contributes to the consumer behaviour literature in the context of smartphone app usage. Also, by explaining the underlying mechanisms through which the principles of communication privacy management theory operate in smartphone app context, the authors' research contributes to the communication privacy management theory.

The purpose of this study is to explore the use of smartphone-embedded microelectro-mechanical sensors (MEMS) for accurately estimating rotating machinery speed, crucial for various condition monitoring tasks. Rotating machinery (RM) serves a crucial role in diverse applications, necessitating accurate speed estimation essential for condition monitoring (CM) tasks such as vibration analysis, efficiency evaluation and predictive assessment.

This research explores the utilization of MEMS embedded in smartphones to economically estimate RM speed. A series of experiments were conducted across three test setups, comparing smartphone-based speed estimation to traditional methods. Rigorous testing spanned various dimensions, including scenarios of limited data availability, diverse speed applications and different smartphone placements on RM surfaces.

The methodology demonstrated exceptional performance across low and high-speed contexts. Smartphones-MEMS accurately estimated speed regardless of their placement on surfaces like metal and fiber, presenting promising outcomes with a mere 6 RPM maximum error. Statistical analysis, using a two-sample t-test, compared smartphone-derived speed outcomes with those from a tachometer and high-quality (HQ) data acquisition system.

The research limitations include the need for further investigation into smartphone sensor calibration and accuracy in extremely high-speed scenarios. Future research could focus on refining these aspects.

The societal impact is substantial, offering cost-effective CM across various industries and encouraging further exploration of MEMS-based vibration monitoring.

This research showcases an innovative approach using smartphone-embedded MEMS for RM speed estimation. The study’s multidimensional testing highlights its originality in addressing scenarios with limited data and varied speed applications.

Usage patterns of mobile phones in Israel position them as instruments of great importance and as everyday, multipurpose, and interpersonal devices. This study utilizes a critical perspective of the “uses and gratifications” approach to explore the usage of and gratification sought from smartphone usage of millennials. Sixty personal in-depth interviews were conducted during 2013 with millennials (undergraduate students) with the primary goal of exploring millennials’ perceptions of smartphone usages, as well as their personal experiences with smartphones and the role of smartphones in their lives. A grounded theory approach was used to analyze students’ reflections on the roles of smartphones in their lives. Participants have expressed a great bonding with their smartphone and relationships that can be described in term of "love and hate.” The thematic analysis highlighted the addictive elements of using their smartphone, that is, using it more frequently and under undesired circumstances than one would like to, and even becoming anxious about losing the device or even getting too far away from it. Other leading themes included the influence of external pressures to use smartphones, the varied usefulness that smartphones serve in participants’ lives, and a strong sense of "Fear of missing out" as an explanation for their extensive use of their smartphones. The findings of this chapter indicate that smartphones have become an indispensable medium among young adults, used due to practical, as well as to emotional reasons; inner, as well as external impulses.

Smartphones play an integral part in many children's lives. Their constant presence in various contexts and the multitude of affordances they present have a tremendous effect on how childhoods are lived today. One important aspect is the way children's interaction with smartphones can affect relationships and particularly generational relations. In this explorative study, we investigated Azerbaijani children's interaction with smartphones in the family and at school using the sociomaterial and relational approaches. Thinking relationally, we followed children's stories to unravel how smartphones can mediate different types of behavior and assist children in negotiating their place in generational order with the adults in their lives. Analyses suggest that smartphones can both present children with bargaining power to negotiate pleasure and fun as well as means to reinforce the generational order by children themselves. The findings point out that children often transfer social norms and expectations placed on them to the ways they use smartphones.

This study longitudinally investigated the predictors and mediators of adolescent smartphone addiction by examining the impact of parental smartphone addiction at T1 on adolescent smartphone addiction at T3, as well as the separate and sequential role of adolescent self-esteem and depression at T2 as mediating factors.

This study used a hierarchical regression and the PROCESS macro (Model 6) to investigate research model by collecting 3,904 parent-adolescent pairs. Panel data were collected from three waves of the Korean Children and Youth Panel Survey (KCYPS).

First, the result showed that parental smartphone addiction at T1 significantly and positively predicted adolescent smartphone addiction at T3. Second, the serial mediation analysis revealed that the impact of parental smartphone addiction at T1 on adolescent smartphone addiction at T3 was mediated by adolescent self-esteem and depression at T2 independently and serially.

The findings enhance our comprehension of the impact of parental smartphone addiction, adolescent self-esteem and depression, on adolescent smartphone addiction.

With an extensive range of information available at the swipe of a finger, the smartphone has become a ubiquitous tool for augmenting conversation. Users of English as a lingua franca (ELF) often rely on such technology to help establish friendships by using them to sustain intersubjectivity. But how do they manage the multiple involvements this entails, such as participating in current talk while searching for linguistic items?

This study employs multimodal Conversation Analysis to undertake a detailed account of the way two young people, a Japanese male (22) and an Indonesian male (16) incorporate smartphones into their lingua franca English interaction. The analysis is based on naturally occurring conversations video-recorded by the Japanese participant, while both boys were living with an American homestay family.

The analysis explores the role of the smartphone in forward-oriented repair, including how the interactants, look up unfamiliar words, delay turn progressivity to fit those words into the turn-in-progress, and use images to accompany an unclear term. Speakers also occasionally abandon a look-up in order to reformulate the turn without the smartphone, relying instead on their own interactional competence.

The study offers insight into the way young people use smartphones as an affordance to manage and repair aspects of their L2 talk, enabling them to enhance their current interactional competence by drawing on the vast range of semiotic resources the phone possesses. Ensuring understanding is essential for developing and maintaining friendships, and for this particular peer culture of lingua franca English speakers, smartphones are a key tool for accomplishing that. As such, the study will be of interest to researchers and educators in the fields of both technology and interaction.

The purpose of this study is to analyze the determinants influencing Japanese consumers’ behavior toward the purchase of 5G smartphones.

Empirical data was collected through an online survey of 320 Japanese respondents from ages 20 to 59. Data was analyzed by exploratory factor analysis, confirmatory factor analysis and multiple regression analysis.

The results indicate that hedonic value, user interface and price value (PV) positively influence attitude toward 5G smartphone purchase, while utilitarian value does not. In addition, the mediation effect of social influence (SI) is found to increase those positive effects. Male and female consumers displayed differences in the determinants, showcasing the effect of gender on attitude and behavior.

To the best of the authors’ knowledge, this study is the first research to analyze Japanese consumers’ behaviors’ toward 5G smartphone purchase. Past research for 3G/4G smartphones supported that usefulness positively influenced consumers’ behavior toward smartphones, so usefulness of 5G (e.g. high speed) was expected to be a factor to influence consumer behaviors’ toward 5G smartphones. However, this research reveals that a simple tagline emphasizing such usefulness may not be convincing enough to promote the 5G smartphones to Japanese consumers. Alternatively, the research indicates that introducing the concepts of joyfulness, improved HV and greater PV of the 5G smartphone could attract more consumers in Japan. In addition, SI could enhance the perception of the various benefits of 5G smartphones.