• Asia Marketing Journal
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• v.24 no.1
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• pp.3-12
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• 2022

Smart city technologies such as transportation and parking systems make our daily lives more efficient and intelligent. However, it is impossible to implement a smart mobility system without analyzing the individual's behavior toward the new technology. This research study attempts to develop a framework for predicting smart mobility antecedents using SEM in primary data analysis. The Technology Acceptance Model (TAM) was the conceptual foundation for this study. To achieve the objectives of the study, one thousand five hundred and twelve effective questionnaires were collected and analyzed using Smart PLS 3.3. The results show that perceived usefulness, perceived ease of use, and perceived risk significantly affect attitudes towards adopting smart mobility systems. Our study provides a comprehensive framework to understand individual-level smart city technology adoption. This study offers implications for policymakers to update existing policies concerning road technology.

• Journal of Distribution Science
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• v.19 no.8
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• pp.57-67
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• 2021

Purpose: The purpose of this study was to explain the application of TPB and personal happiness on donation behavior and willingness to donate. Research design, data, and methodology: The population of this research is people in Indonesia who have a tendency in its culture to donate. The sample size used was 245 people with a purposive sampling method. The analysis technique used is Path Analysis using SEM-PLS. Result: The results show that the subjective norm had appositive and significant effect on attitude to donate; subjective norm has appositive and significant effect on the donation behavior. Personal happiness has a positive and significant effect on attitude to donate, and personal happiness also has a positive and significant effect on the donation behavior, and the donation behavior has a positive and significant effect on the attitude to donate. Conclusions: Being a responsible person to other people's conditions, as you see other people needing help, you will feel that you have the power to help them. you are often helping people in need, which concludes you are a compassionate person.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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 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.

• 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.