• Korea Trade Review
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• v.47 no.5
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• pp.1-20
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• 2022

As a part of environmental pollution mitigation in China, the number of environmentally friendly vehicles in China is proliferating, attention to vehicles that use environmentally friendly energy continues to increase, and China's new energy vehicle market is also growing rapidly. Similar to existing research, the focus of the subsidy is to provide financial support for electric vehicle buyers and the expansion of new energy vehicle charging infrastructure. Under these circumstances, this study attempts to understand the influence of Chinese consumers' green responsibility and other psychological factors on electronic vehicle purchase intention based on norm activation theory and theory of planned behavior. PLS-SEM examined the proposed hypotheses with 369 valid Chinese consumers, and all were supported. Our findings contribute to the extension of the research scope of Chinese consumers' intention to purchase electric vehicles and provide practical information for domestic and foreign firms entering China, the world's largest electric vehicle market.

• Asia pacific journal of information systems
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• v.33 no.4
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• pp.1093-1117
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• 2023

The study aims to determine the impact of quality outcomes on behavior intentions in Financial Technology (FinTech) payment services. The study is focused on the development and testing of the impact of the SERVQUAL model on the TAM, i.e., Technology Acceptance Model for the measurement of the behavioral intention of users to use fintech payment services. The sample entails 578 specific survey responses from northern India from October to December 2022. The respondents were users of FinTech. The PLS-SEM technique was employed to explain the implementation process. Consequently, it discovered a significant relationship between the SERVQUAL models and the impact on behavioral intentions identified by TAM. The study will provide insight into the factors that impact the quality outcomes and adoption of Fintech payment services to the providers. The paper demystifies FinTech payment services in the range of perception of service quality outcomes and provides essential theories. The TAM model reflects the customer's sense of satisfaction, usefulness, and attitude. In contrast, the SERVQUAL model demonstrates the user's assessment of service quality outcomes such as quality, trust, security, and service quality positively affects behavioral intention in FinTech payment services.

• Journal of Distribution Science
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• v.21 no.12
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• pp.59-69
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• 2023

Purpose: Consumers can experience better service for distribution of products with payment technology such as QRIS (Quick Response Code Indonesian Standard) compared to conventional purchase methods. This research aims to determine the experience of QRIS service users in Indonesia. Perceived Usefulness, Ease of Use, and Perceived Security were independent factors. Behavioral Intention to Use is the dependent variable. Furthermore, Word of Mouth Attitude is an intervening variable. Research Design, Data, and Methodology: Involving active QRIS users in a survey-based quantitative study in Indonesia. A survey sample of 400 people was taken from data records of 30.87 million QRIS users in Indonesia. Data were analyzed using SEM-PLS. Results: Show that Perceived Usefulness and Perceived Ease of Use significantly impact Attitudes Word of Mouth, and Behavioral Intention to Use. This research also found that Behavioral Intention to Use does not significantly impact Perceived Security. Conclusion: QRIS, as a revolutionary innovation, offers faster payments than previous methods, with a payment time of no more than one minute. QRIS is seen as valuable, simple, and safe, disseminating information to the public and continuing to use QRIS. The implications of this research are very significant in accelerating the flow of distribution of goods and services and facilitating transactions.

• Journal of Distribution Science
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• v.21 no.12
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• pp.71-81
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• 2023

Purpose: This research aims to analyze the influence of greed, opportunity, need, exposes on fraudulence financial reporting by using the distribution of political connections as a moderating variable. Research design, data, methodology: Using data collected from 180 respondents who were leaders involved in financial reports in state-owned companies and manufacturing companies in South Sulawesi, Indonesia. Data analysis using SEM PLS. Results: The results of this research show that greed, opportunity, need, exposes, political connections have a significant positive effect on fraudulence financial reporting. Political connection is able to moderate greed, need, exposes to fraudulence financial reporting. Furthermore, political connections are unable to moderate the opportunity for fraudulence financial reporting in company. Conclusion: Greed, opportunities, needs, exposes can influence someone to carry out financial fraud reporting in the company because of internal or external factors that cause someone to commit fraud. Every perpetrator of fraud should be subject to punishment or sanctions if proven to have committed fraud. Political connections can influence fraudulent financial reporting due to the potential for intervention and political pressure that can affect the integrity of financial reporting. Political connections are able to moderate greed, need, exposes against fraudulent financial reporting.

• Korea Trade Review
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• v.45 no.6
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• pp.77-97
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• 2020

This study investigates the effects of O2O-based mobile shopping application (O2O MSA)'s information and service quality on the user's perceived privacy protection, satisfaction and loyalty. In this study, 969 questionnaire reponses were collected, out of which 555 were used to estimate the structural paths using PLS-SEM (partial least square structural equation model) for the hypothesis test. Our empirical findings are drawn from Chinese respondents that live in a 1-line city in China and use O2O MSAs serviced by China's leading companies. This study examines and confirms that qualified information and service of O2O MSA positively affect both perceived privacy protection and customer satisfaction, which finally leads to customer behavioral loyalty through the perceived privacy protection. Further, this study presents effective practical implications for application development strategy suitable for users in the O2O-based mobile shopping industry.

• Journal of Distribution Science
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• v.22 no.2
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• pp.83-93
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• 2024

Purpose: Although many studies have addressed destination marketing concepts, the relationship between beach tourists' memorable tourism experience (MTE), revisit intention and electronic word of mouth (eWOM) remains unknown. To address this issue, the authors established a model to investigate the effects of MTE's dimensions on revisit intention and eWOM. Research design, data and methodology: Drawing on 581 questionnaires from domestic beach tourists in Vietnam, a quantitative study approach was administered to empirically analyze a partial least squares path model in PLS-SEM. Results: The findings revealed that four dimensions of MTE including hedonism, local culture, meaningfulness and involvement have positive influence on beach tourists' revisit intention. Besides, meaningfulness and knowledge directly affect eWOM. It is worth noting that beach tourists' revisit intention significantly and directly influence their eWOM. The findings also confirm the indirect effects of hedonism, local culture, meaningfulness and involvement on eWOM through the mediating role of revisit intention. Conclusions: This study will be important to determine beach tourists' behavior through each dimension of MTE. This study also emphasizes on the direct effect of beach tourists' revisit intention on eWOM, as well as confirms its mediating role in the relation between MTE and eWOM. The findings will assist policymakers and destination marketers with strategies and effective future actions.

• Journal of Distribution Science
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• v.22 no.1
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• pp.37-46
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• 2024

Purpose: This study aims to address the overlooked micro-level aspects within Smart Manufacturing (SM) research, rectifying the misalignment in manufacturing firms' estimation of their technological adoption capabilities. Drawing upon the Social-Technical Systems (STS) theory, this paper utilises innovation capability as a mediating variable, constructing a human-centric organizational model to bridge this research gap. Research design, data and methodology: This study collected data from 233 Chinese manufacturing firms via online questionnaires. Introducing innovation capability as a mediating variable, it investigates the impact of social-technical system dimensions (work design, social subsystems, and technical subsystems) on SM adoption willingness. Smart PLS 4.0 was employed for data analysis, and Structural Equation Modelling (SEM) validated the theoretical model's assumptions. Results: In direct relationships, social subsystems, technical subsystems, and work design positively influence firms' innovation capabilities, which, in turn, positively impact SM adoption. However, innovation capability does not mediate the relationship between technical subsystems and SM adoption. Conclusions: This study focuses on the internal micro-level of organisational employees, constructing a human-centric framework that emphasises the interaction between organisations and technology. The study fills empirical gaps in Smart Manufacturing adoption, providing organisations with a means to examine the integration of employees and the organisational social-technical system.

• Journal of Distribution Science
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• v.22 no.1
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• pp.13-23
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• 2024

Purpose: Within the ever-changing realm of modern e-commerce, this study delves into the complex effects of factors like performance expectations, ease of use, social influence, favorable conditions, and enjoyment perception on users' intentions and usage patterns in online marketplace apps. The research centres on Tokopedia app users in Denpasar City, encompassing a wide and varied demographic. Methods: Utilizing a non-probability sampling method, 200 participants were selected for extensive data collection through surveys. Subsequent rigorous analysis of the gathered data was performed using Structural Equation Modeling-Partial Least Squares (SEM-PLS) techniques. Results: This study aims to contribute substantially to theoretical and practical knowledge regarding marketplace app usage. Theoretical contributions involve enhancing the marketing domain, especially in digital marketing, by revealing the intricate factors influencing user conduct in online marketplaces. From a practical standpoint, this research provides valuable insights for entrepreneurs aspiring to join or improve their positions in the Tokopedia app market. Conclusion: Based on the study, we suggest optimising online shopping apps for a more appealing and user-friendly interface. Enhancing the enjoyment and simplicity of finding desired products can prompt heightened usage of online shopping services, thereby reinforcing distribution management strategies and overall market presence.

• Asia pacific journal of information systems
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• v.33 no.3
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• pp.652-676
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• 2023

The objective of this study is to provide a deeper understanding of the factors that lead to the development and adoption of AI-based chatbots. We analyze the structural relationship between the organizational (externalities), systematic (fit), and the consumer-related (psychological) factors and their role in the adoption of AI-based chatbots. Founded on the theories of task-technology fit and network externalities, we present a conceptual model overlooking common perception-based theories (e.g., Technology Acceptance Model). We collected 380 responses from Indian banking consumers to test the model using the PLS-SEM method. Interestingly, the findings present a positive impact of all factors on consumers' intention to adopt AI-based chatbots. However, the interplays between these factors provide a mixed perspective for literature. Apart from employing a combination of factors that have been used to study technology adoption, our study explores the importance of externalities and their relationship with fit factors, a unique outlook often overlooked by prior research. Moreover, we offer a clear understanding of latent variables such as trust, and the intricacies of their interplays in a novel context. Thereby, the study offers implications for literature and practice, followed by future research directions.

• Asia pacific journal of information systems
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• v.31 no.1
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• pp.76-101
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• 2021

Digitalization and digital transformations have metamorphized the face of Financial Inclusion globally, more so, in cash obsessed economies like India. The purpose of our study is to empirically analyze the users' intention to adopt digital payment systems, post Demonetisation, during the COVID-19 pandemic in India. The conceptual framework for the study is based on the Unified Theory of Acceptance and Use of Technology (UTAUT) adoption model with added operationalized constructs of Perceived Risk and Stickiness to use Cash. A total of 326 respondents were surveyed using a pre-tested questionnaire during the Nationwide Lockdown 3.0 in India. These responses were analyzed using Partial Least Squares - Structural Equation Modelling (PLS-SEM) technique. The findings of the study revealed that performance expectancy and facilitating conditions directly influence the intention of individuals to use digital payment systems, whereas the effect of perceived ease of use on digital payment systems is mediated through the attitude towards the digital payment systems during COVID-19 pandemic situation. Implications of the proposed adoption model are discussed. This will enable the other developing economies to formulate a digital ecosystem, that is here to stay even after the pandemic.