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What Explains Smartwatch Adoption? A Compatrative Study of South Korea and Indonesia

  • Sekardhani, Mufida;Song, Sujin
    • Asia Marketing Journal
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    • v.24 no.2
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    • pp.78-95
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    • 2022
  • Identifying factors that influence consumers' intentions to adopt a smartwatch has become a major research interest in marketing literature, yet little is known about it in dissimilar cultural settings. The current research employs a comparative study of South Korea and Indonesia, which differ in location and cultural heritage, smartwatch penetration rate, geographic size, level of income, and developmental stage as a country. An extended model of TAM is proposed, and PLS-SEM is employed to test the model on data collected from 262 respondents. The findings indicate that complementary goods and healthtology have positive influences on perceived usefulness and visibility has a positive influence on social image; these, together with perceived price value, lead to the behavioral intention to adopt a smartwatch in both countries. Perceived cost was only significant for Indonesia. Theoretical contributions and practical implications are further discussed.

Exploring the Determinants of Users' Continuance Intention to Use Mobile Banking Services in Kuwait: Extending the Expectation-Confirmation Model

  • Ahmad A. Rabaa'i;Shereef Abu ALMaati
    • Asia pacific journal of information systems
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    • v.31 no.2
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    • pp.141-184
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    • 2021
  • While a great body of information systems (IS) literature has discussed mobile banking (m-banking) services, most of these studies have focused on the adoption or acceptance phases of this technology; with little attention was given to users' intension to continue using such technology. This paper aims at investigating the most important factors that predict users' continuous intension to use m-banking services in the post-adoption phase. This paper presents a conceptualization and validation of an extended expectation-confirmation model (ECM). A total of 303 Kuwaiti users of m-banking services participated in this study. Partial least squares (PLS) of structure equation modelling (SEM) technique was used to analyze the data. The results mainly showed that users' continuous intension to use m-banking services is significantly influenced by perceived trust, satisfaction, self-efficacy, performance expectancy and effort expectancy. Theoretical and practical contributions as well as the research limitations and future directions are discussed.

Intention to Subscribe to YouTube Channels: Trust in Creator and Trust in Content

  • HyoSug (Terry) Chang;Ho Geun Lee;SeoYoung Lee
    • Asia pacific journal of information systems
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    • v.31 no.3
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    • pp.277-295
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    • 2021
  • This paper examines the features that make a YouTube channel attractive to users. Considering that drawing users' attention is challenging on this platform, where voluminous amounts of videos are available, it is crucial to identify the factors that make users intend to subscribe to a YouTube channel. In this study, we used an online survey to collect data from 1125 respondents and an SEM model using Smart PLS 3.2.8 to analyze it. The results show that integrity and familiarity with a YouTube channel are positively correlated with trust in its creator, which leads to subscribing to the YouTube channel; value and accuracy also positively affect intention to subscribe to a YouTube channel via trust in content. This study enriches the field of research about trust in the creator and trust in content.

Taxpayer Behavior in Using E-Vehicle in Indonesia

  • Evi Zubaidah;Achmad Nurmandi;Ulung Pribadi;Mega Hidyati
    • Asia pacific journal of information systems
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    • v.31 no.3
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    • pp.378-391
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    • 2021
  • The low use of e-vehicles in Yogyakarta City and Pekanbaru City is an essential issue for local governments to maximize e-government policies in both regions. The purpose of this research is to analyze people's attitudes and factors influencing the community of e-Samsat (e-Vehicle tax) users in developing the UMEGA theory, namely technology and government trust. This is a quantitative research based on the philosophy of positivism, which is used to examine populations and individual samples. Data were collected using research instruments and quantitatively analyzed. Furthermore, the hypothesis of the obtained data was tested using SEM-PLS. The results showed that social influence does not affect attitudes of e-Samsat (e-Vehicle tax) users. Furthermore, the study showed that the development of umega theory by adding variables of trust in technology and government affects people's behavior in using e-Samsat services.

What's for Dinner? Factors Contributing to the Continuous Usage of Food Delivery Apps (FDAs)

  • Ahmad A. Rabaa'i
    • Asia pacific journal of information systems
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    • v.32 no.2
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    • pp.354-380
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    • 2022
  • This study proposed a novel model to investigate influential factors affecting the intention to continue using increasingly popular food delivery apps (FDAs). The proposed theoretical model is developed and validated to extend traditional technology acceptance and adoption theories by identifying several determinant factors that capture the unique context of FDAs continuous usage. Hypotheses were tested using a partial least square structural equation modeling approach (PLS-SEM) on data collected from 331 actual FDAs users during the COVID-19 pandemic. The results reveal that convenience, perceived compatibility, delivery experience, and online reviews significantly influence the continuous usage of FDAs. The findings also confirm the importance of continuous intention on the actual use of FDAs. The research model of this study explains 65% of variance in continuous intention and 47% in actual use. The insights provided by this study suggest fruitful directions for future research. They can also help FDAs companies, developers and marketers with strategies and tips for further development and growth by ensuring users' continuous usage of these platforms.

Motives for Consumer Behavioral Engagement on Brand-Related Social Media Content: A Study Based on Organismic Integration Theory and Personality

  • Chi T.K. Nguyen;Jusik Park
    • Asia Marketing Journal
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    • v.25 no.4
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    • pp.173-193
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    • 2024
  • This study adopts organismic integration theory (OIT) to classify and contrast the predominant roles of five motivations (i.e., economic incentives, self-presentation, information acquisition, altruism, and enjoyment) in fostering three levels of behavioral engagement on brand-related social media content. This study further examines the moderating effect of personality (thinkers vs. feelers) on these relationships. The results of PLS-SEM reveal the greater impact of autonomous motivations on content consumption (enjoyment and information acquisition) and content contribution and creation (altruism and information acquisition), compared with controlled motivations (self-presentation and economic incentives). This study also finds that thinkers mostly engage on brand-related content for information acquisition and economic incentives, whereas feelers are mostly driven by enjoyment for content consumption and by altruism for content contribution and creation. This study addresses the inconsistency in prior research findings and provides practical implications to social media marketers.

The Impact of Live Commerce Features and Situational Factors on Participation Intention in Tourism Live Commerce

  • Sheng, Congyi;Yang, Sung-Byung;Kim, Sung-Eun
    • The Journal of Information Systems
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    • v.33 no.2
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    • pp.237-264
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    • 2024
  • Purpose This study explores the impact of tourism live commerce on consumer participation intention. Utilizing Stimulus-Organism-Response (S-O-R) framework and situation theory, the study is to identify the features and situational factors of tourism live commerce and to investigate their impact on flow experience, perceived value, and participation intention. Design/methodology/approach A theoretical model is developed and validated through a survey, adopting PLS-SEM approach. A self-administered questionnaire was developed and distributed via Wenjuanxing, the largest online survey platform in China, in October 2022, resulting in 361 valid responses. Findings The results reveal significant effects of features and situational factors of tourism live commerce on consumer behavior, enhancing the understanding of tourism live commerce and extending the S-O-R framework in this context. The study offers both theoretical contributions and practical implications, providing valuable insights for managers to improve consumer engagement in tourism live commerce.

Bitcoin Distribution in the Age of Digital Transformation: Dual-path Approach

  • Lee, Won-Jun;Hong, Seong-Tae;Min, Taeki
    • Journal of Distribution Science
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    • v.16 no.12
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    • pp.47-56
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    • 2018
  • Purpose - The potential use of cryptocurrencies in a retail environment proposes a rapid shift from the traditional financial system. Nakamoto(2008) defines Bitcoin as an open source alt-coin based on the blockchain technology. Luther(2016) insists that the new technology will be widely adopted for the digital payment processes. However, the use of Bitcoin is in the real world is still sparse. Despite the growing attention and purported benefits, it is doubtful whether the Bitcoin will be eagerly accepted by ordinary consumers in the mainstream market. To answer this question, this paper develops a causal model that has a dual path to explain the motivation to adopt Bitcoin. According to Glaser, Zimmermann, Haferkorn, Weber, and Siering(2014), Bitcoin is both an asset and a currency at the same time. In summary, the attitude towards Bitcoin may vary depending on whether the fin-tech product is viewed as an asset or as a currency. Based on the arguments, we propose that asset attitude and currency attitude will give influence to consumers' intention to adopt Bitcoin. Research design, data, and methodology - Quantitative data collection is conducted from a Bitcoin SIG(special interest group) working in an internet community. As a result, 192 respondents who know Bitcoin completed the survey. To analyze the causal relations in the research model, PLS-SEM(partial least squares structural equation modeling) method is used. Also, reliability and validity of measures are tested by performing Cronbach's alpha test, Fornell-Larcker test and confirmatory factor test. Results - Our test results show that every hypothesis is supported except the influence of perceived ease of use. In addition, we find that the relationships between constructs are different between the high innovative group and low innovative group. Conclusions - We provide evidence that asset attitude and currency attitude are key antecedents of Bitcoin adoption.

Research on damage and identification of mortise-tenon joints stiffness in ancient wooden buildings based on shaking table test

  • Xue, Jianyang;Bai, Fuyu;Qi, Liangjie;Sui, Yan;Zhou, Chaofeng
    • Structural Engineering and Mechanics
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    • v.65 no.5
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    • pp.547-556
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    • 2018
  • Based on the shaking table tests of a 1:3.52 scale one-bay and one-story ancient wooden structure, a simplified structural mechanics model was established, and the structural state equation and observation equation were deduced. Under the action of seismic waves, the damage rule of initial stiffness and yield stiffness of the joint was obtained. The force hammer percussion test and finite element calculations were carried out, and the structural response was obtained. Considering the 5% noise disturbance in the laboratory environment, the stiffness parameters of the mortise-tenon joint were identified by the partial least squares of singular value decomposition (PLS-SVD) and the Extended Kalman filter (EKF) method. The results show that dynamic and static cohesion method, PLS-SVD, and EKF method can be used to identify the damage degree of structures, and the stiffness of the mortise-tenon joints under strong earthquakes is reduced step by step. Using the proposed model, the identified error of the initial stiffness is about 0.58%-1.28%, and the error of the yield stiffness is about 0.44%-1.21%. This method has high accuracy and good applicability for identifying the initial stiffness and yield stiffness of the joints. The identification method and research results can provide a reference for monitoring and evaluating actual engineering structures.

The Effects of Information Characteristic on Information Capabilities (정보특성이 정보역량에 미치는 영향)

  • Park, Kwang O.
    • The Journal of the Korea Contents Association
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    • v.13 no.12
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    • pp.389-401
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    • 2013
  • The objective of this study is to devise and empirically validate a model in which information characteristics influence the success of SCM system as assessed by the Information Capabilities method. The four factors examined in this study include Information Quality, Operational Information Sharing, Strategic Information Sharing, Information Capabilities. The research model was analyzed by the structural equation modeling(SEM) technique, supported by SPSS 21 and SMART-PLS 2.0. The results of this study can be summarized as follows. The study confirmed the presence of positive influence of information quality on operational information sharing, strategic information sharing and IO. And, information sharing, as expected, had a significant impact on SCM performance as assessed by the IO method. A major contribution of the study is that it provides empirical evidence of the relationships that have been presumed to exist between information characteristics and information performance of SCM system. Also, the study provides both researchers and practitioners a solid foundation for future studies and practice for more successful implementation of SCM system.