scholarly journals A Comparative Study Of Smartphone Addiction Drivers’ Effect On Work Performance In The U.S. And Korea

2016 ◽  
Vol 32 (2) ◽  
pp. 507 ◽  
Author(s):  
Won-Jun Lee ◽  
Seungjae Shin

Smartphone addiction is a new phenomenon when a smartphone becomes a necessity in our daily life. This study explores smartphone addiction drivers and their results. Four factors such as ease of use, emotional lift, preference of social interaction, and flow, are used for drivers and neglect of work is used as a proxy of addiction result. In the result of structured equation modeling analysis, preference of social interaction is not related with smartphone usage behaviors such as usage frequency and usage hours. In the analysis of U.S. users, emotional lift is a driver and in the analysis of Korean users, ease of use and flow are drivers for smartphone addiction. There is a significant relationship between smartphone use and neglect of work in both countries. Even if there is a trend of converging user behavior because of globalization, drivers for smartphone addiction are different in the U.S. and Korea.

2013 ◽  
Vol 41 (2) ◽  
pp. 251-262 ◽  
Author(s):  
Jao-Nan Cheng

In this study 732 Taiwanese kindergarten teachers, divided into 4 regional areas: northern, central, southern, and eastern, completed a questionnaire about their work performance and how it is affected by principals' leadership behaviors. Regression and structural equation modeling analysis showed that the use of empathetic concern by kindergarten principals had a positive effect on teachers' work performance. Although assertive orders were found to have a positive influence, the correlation with work performance was lower than that with empathetic concern. Rewards and punishments had no significant effect on improving teachers' work performance. Emotion-based leadership in the form of showing empathetic concern could be used to improve kindergarten teachers' work performance.


2018 ◽  
Vol 28 (1) ◽  
pp. 105-122 ◽  
Author(s):  
Sujeong Choi

Purpose Given that smartphones are widely used as a key means for mobile commerce, the purpose of this paper is to provide in-depth understanding of determinants of the utilitarian value that customers seek to obtain from using smartphone-based mobile commerce. Drawing on the technology acceptance model (TAM), the study proposes that usefulness and ease of use are two typical factors representing utilitarian value and verifies their impacts on smartphone-based m-commerce use. Moreover, the paper expands the TAM by considering mobile-specific characteristics (i.e. service ubiquity and location-based service (LBS)) and a self-service technology (SST) characteristic (i.e. user control) as determinants of utilitarian value. Design/methodology/approach The study entailed conducting a survey, and analyses were conducted based on a total of 379 responses from undergraduate and graduate students who had experience using smartphones for mobile commerce. The analyses used structural equation modeling to test the research model and hypotheses. Findings First, in the context of the various technologies-involved m-commerce, TAM serves as a theoretical lens to predict user behavior. Second, usefulness is greatly increased by service ubiquity, LBS, and user control. Third, ease of use is enhanced by service ubiquity and user control. Finally, ease of use is a determinant of usefulness. Originality/value The findings imply that mobile-specific and SST characteristics are the key determinants of utilitarian value in performance-oriented mobile commerce, and utilitarian value is a key determinant of smartphone-based mobile commerce use.


Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ali Bonyadi Naeini ◽  
Seyedeh Hoda Jalilian Ahmadkalaei

PurposeThe purpose of this paper is to identify the dynamic capabilities (DCs) affecting the business models (BMs) in knowledge-intensive firms (KIFs). This paper also examines how much these DCs affect the BMs.Design/methodology/approachThe research methodology included examining a research framework based on a literature review followed by a survey of KIFs. A sample of 214 KIFs was obtained and structured equation modeling analysis using two-stage partial least squares–artificial neural network approach was conducted to test the proposed hypotheses.FindingsThis study shows that managerial, innovation, intellectual capital, information technology, integration and knowledge-based DCs influence the BM in KIFs. The results indicate that “the human development” aspect of managerial DC has the most significant impact on the BM efficiency, and innovation DC has the greatest influence on BM innovation.Practical implicationsIdentifying DCs affecting the BM in KIFs provides practical results for managers and researchers in KIFs.Originality/valueThe present research uses for the first time a PLS–ANN approach in identifying the affecting DCs the BM in KIFs; examines its impact on the efficiency and innovation aspects of the BM; and enriches the literature on DCs and the BM, especially in the field of KIF.


2014 ◽  
Vol 68 (2) ◽  
Author(s):  
Maziar Shajari ◽  
Zuraini Ismail

 The frequent use of e-Government services and the ability of the government to successfully implement e-Government to match the needs of the citizens remain to be understood. The purpose of this study is to construct an adoption model for the e-Government services by considering renowned technology adoption models. This model considered trustworthiness in shaping the adoption model. To test the model, questionnaire was designed, adapted from previous studies which were distributed to employees of public organizations in Esfahan, Iran. The proposed model was thoroughly analyzed using Structured Equation Modeling (SEM). The new adoption model modified and the final model consist of ten constructs including intention to use, trustworthiness, perceived usefulness, perceived ease of use, compatibility, social influence, job relevant, output quality, and image. The results affirmed that relationships between the model variables suggested good model fit. The fitted model of this study may be applied to other e-Government services of other countries.


Author(s):  
Shuna Shiann Khoo ◽  
Hwajin Yang

Despite the potential risks of excessive smartphone use for maladaptive outcomes, the link between smartphone use and aggression remains less understood. Furthermore, prior findings are inconclusive due to a narrow focus on limited aspects of smartphone use (e.g., screen time) and reliance on self-reported assessments of smartphone use. Therefore, using objective measures of smartphone use, we sought to examine the associations between several key indices of smartphone use—screen time, checking behaviors, and addictive tendency—and multifaceted aggression (i.e., confrontation, anger, and hostility). In a cross-sectional study, we administered a series of questionnaires assessing aggressive tendencies (i.e., The Aggression Questionnaire) and various aspects of smartphone use (N = 253, Mage = 21.8 years, female = 73.2%). Using structural equation modeling, we found that smartphone checking and addictive smartphone use predicted only hostility. In contrast, both objective and subjective measures of screen time did not predict any facets of aggression. These results highlight differing impacts of various indices of smartphone use on aggression and imply that excessive checking and addictive smartphone use are problematic smartphone-use behaviors that require more targeted interventions with respect to hostility.


Author(s):  
Hong-Lei Mu ◽  
Young-Chan Lee

Individual users' payment behaviors have changed. The diffusion of mobile devices makes people suitable for proximity mobile payment (PMP) services without the need for traditional payment. Existing mobile payment literature mainly focuses on users' adoption and continuous usage behavior, nevertheless, switching behavior on payment received little attention, especially focusing on why users switch from traditional payment to PMP. Thus, the objective of the current research is to investigate factors influencing users’ traditional payment - PMP switching to comprehend how these factors shape users’ switching intentions. We developed a traditional payment - PMP transition model based on the push-pull-mooring framework derived from migration theory. This research adopted a structural equation modeling analysis on 311 valid data. The findings indicate that a push factor drives users away from traditional payment in terms of dissatisfaction. The pull factors, including perceived substitutability and perceived usefulness, attract users to PMP. Furthermore, in terms of perceived technical compatibility, a positive mooring factor, facilitates users' switching to PMP. Negative mooring factor, in terms of perceived risk, hinder users' switching intention. However, another pull factor - perceived ease of use, failed to influence switching intention significantly. This study found some distinctions between mobile payment switching and mobile payment adoption. These findings provide pivotal insights for the mobile payment service providers.


2021 ◽  
Vol 17 (3) ◽  
pp. 42-54
Author(s):  
Surabhi Singh ◽  
Sanchita Ghatak

This study aims to investigate the customer adoption of e-wallets in India. The paper further seeks to explore the significant relationships amongst the constructs of TAM in explaining consumer intention to use the digital wallet. The present study employs an extended TAM framework. The variables of the study are risk, cost, compatibility, usefulness, ease of use, behavioral intention to use, actual usage, etc. for exploring digital wallet usage intentions in Indian consumers. The sample considered was North Indian customers to understand their plan to use a mobile wallet. A standardized scale was used for the present study. The data was collected using a questionnaire with variables of external factors, perception, preference, and usage. Structured equation modeling has been was used to check the model fit of the proposed model, and path analysis revealed the correlations between the endogenous and exogenous variables of the study.


2021 ◽  
Vol 12 ◽  
Author(s):  
Haibo Yang ◽  
Bingjie Liu ◽  
Jianwen Fang

Problematic smartphone use (PSU) has been linked with stress. Higher levels of stress likely increased problematic smartphone use. We investigated relations between stress, fear of missing out, and problematic smartphone use. The aim of the current study was to analyze the mediating role of fear of missing out (FOMO) and smartphone use frequency (SUF) between stress and PSU. We surveyed a broad sample of 2,276 Chinese undergraduate students in July 2019, using the FOMO Scale, Smartphone Addiction Scale-Short Version, Smartphone Use Frequency Scale, and Depression Anxiety Stress Scale-21. The results showed that stress was associated with PSU severity. Gender differences were found in PSU severity. Furthermore, FOMO was positively associated with SUF and PSU severity. Structural equation modeling demonstrated that FOMO acted as a mediator between stress and PSU severity. FOMO and SUF acted as a chain of mediators between stress and PSU severity. SUF did not account for relations between stress and PSU severity. The study indicates that FOMO may be an important variable accounting for why some people with increased stress levels may overuse their smartphones.


Author(s):  
Shintaro Okazaki ◽  
Luiz Miguel Renda dos Santos

<p>The objective of this study is to examine factors influencing e-learning adoption and the moderating role of gender. This study extends the technology acceptance model (TAM) by adding attitude and social interaction. The new construct of social interaction is applied to the South American context. Gender effects on e-learning adoption from educators’ perspectives have seldom been explored. The data collection takes place in three major Brazilian universities. In total, 446 faculty members responded to the questionnaire. Our structural equation modeling reveals that ease of use and perceived usefulness are significant antecedents of attitude, which in turn affects intention. However, unlike the original TAM, perceived usefulness is not a direct driver of intention. In terms of moderation, gender affects three relationships: (1) ease of use –› perceived usefulness; (2) perceived usefulness –› attitude, and (3) intention –› actual behavior. The analysis is carried out in a single country; thus, caution should be taken in generalization of the results. The findings will help academics, educators, and policy makers to better understand the mechanism of e-learning adoption in Brazil. <br /><br /></p><p> </p>


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