• The Mathematical Education
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• v.61 no.2
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• pp.221-237
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• 2022

This study investigated teachers' decision-making and related factors in the elementary textbook adoption process. Our participants include 296 elementary teachers who took part in the mathematics textbook (grades 3 and 4) adoption committees in his/her schools. Our study used the decision-making model of Shavelson and Stern (1981) for analyzing teacher beliefs and attitudes concerning choices and priorities, judgments, evaluation methods, and key factors to reviewing and selecting a mathematics textbook. Our discussion includes teacher beliefs and intentions and the way they come into conflict with determinant factors that influence the decision-making of textbook adoption. Findings also reveal the unique nature of elementary school teaching as generalists in contrast with secondary teachers as specialists, playing a significant role in the adoption process. Lastly, the study discusses the entanglements of textbook reform and explains the discrepancy between textbook authorization/approval policies versus the plight of little change (and innovation) in mathematics textbooks.

• 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 Korean Society for Quality Management
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• v.52 no.1
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• pp.115-133
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• 2024

Purpose: The purpose of research is to explore the factors influencing the intention to adopt altcoin investments, based on the Unified Theory of Acceptance and Use of Technology. Through this, it seeks to elucidate the key factors impacting altcoin investment adoption, and provide a comprehensive understanding of the crypto-currency market and investor behavior. Methods: This study analyzed factors affecting altcoin investment intentions using frequency and descriptive analyses, and verified socio-demographic differences with t-tests and ANOVA. Exploratory factor and correlation analyses were conducted for research tool validity and relationship assessment among variables. Hypotheses were tested through regression analysis, integrating control, independent, and moderating variables, along with interaction terms, to establish the model and examine moderating effects. Results: As a result, it is revealed that higher age and experience in crypto-currency investment are associated with intention to invest. Among the independent variables, performance expectancy, social influence, facilitating conditions, and personal innovativeness have positive effects to investment intention to invest, while effort expectancy had a negative effect. The moderating variable, perceived risk, also negatively affected the intention to invest. Notably, significant moderating effects of perceived risk were observed in the relationships between investment intention and both performance expectancy and personal innovativeness. Conclusion: This study provides empirical verification into consumers' intentions to invest in altcoins, offering insights into investors' behavior and decision-making processes based on a practical understanding of altcoin investment acceptance.

• The Journal of Information Systems
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• v.28 no.2
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• pp.25-52
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• 2019

Purpose Despite the recent increase in the use of selection tools using artificial intelligence (AI), far less is known about the effectiveness of them in recruitment and selection research. Design/methodology/approach This paper tests the impact of AI-based initial screening and interview on intentions to apply. We also examine the moderating role of individual difference (i.e., reliability on technology) in the relationship. Findings Using policy-capturing with undergraduate students at a large university in South Korea, this study showed that AI-based interview has a negative effect on intentions to apply, where AI-based initial screening has no effect. These results suggest that applicants may have a negative feeling of AI-based interview, but they may not AI-based initial screening. In other words, AI-based interview can reduce application rates, but AI-based screening not. Results also indicated that the relationship between AI-based initial screening and intentions to apply is moderated by the level of applicant's reliability on technology. Specifically, respondents with high levels of reliability are more likely than those with low levels of reliability to apply for firms using AI-based initial screening. However, the moderating role of reliability was not significant in the relationship between the AI interview and the applying intention. Employing uncertainty reduction theory, this study indicated that the relationship between AI-based selection tools and intentions to apply is dynamic, suggesting that organizations should carefully manage their AI-based selection techniques throughout the recruitment and selection process.

• The Journal of Asian Finance, Economics and Business
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• v.3 no.2
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• pp.67-76
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• 2016

The paper explores determinants of corporate adoption of social media and the role of technology acceptance model in the path. This paper assimilates some components of the technology acceptance dimension and social expectation theories to determine corporate intentions to use social media. Six hundred and forty-eight samples collected from hotel staff in Korea are analyzed using factor analysis, structural equation model techniques and one-way analysis of variance. The results show that corporate needs, social expectations, ease of use and usefulness should be viewed as important antecedents explaining the firm's behavioral intention to use social media. The study also finds that the ease of use and usefulness of the technology acceptance model have positive directional mediation effects in the path diagram.

• 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 Business
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• v.14 no.4
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• pp.163-174
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• 2023

Purpose - This study examines the effect of consumers' motivations on the perception and purchase intentions of electric cars. Specifically, it empirically analyzes how moral motivations based on personal environmental values and norms in car usage and purchasing influence the perceived usefulness and purchase intentions of electric cars. Furthermore, it investigates whether the influence of moral motivations on perceived usefulness and purchase intentions varies according to the user's driving characteristics. Design/methodology/approach - An online survey was conducted with 234 respondents, by setting criteria for participants as car owners or primary car users within their households, ensuring the sample composition was not biased in terms of the presence or absence of experience with eco-friendly cars. Findings - The research findings indicate that perceived usefulness mediates the effect of consumers' moral motivations on their intention to purchase electric cars. The results of the moderating effect of driving distance on perceived usefulness revealed a significant interaction effect; however, there was no significant interaction effect on purchase intentions. Specifically, for individuals with shorter driving distances, as consumers' moral motivations increase, their perception of the usefulness of electric cars also increases. In contrast, for those with longer driving distances, the increase in perceived usefulness due to moral motivations shows a decreasing trend. Research implications or Originality - This study considered individual driving characteristics that previous research on electric vehicle adoption overlooked, and suggested that setting specific communicating points for electric cars according to driving distance levels might be effective. Lastly, it proposes directions for future research that motivations influencing eco-friendly vehicle purchases may differ based on driving characteristics

• International Commerce and Information Review
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• v.16 no.3
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• pp.25-50
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• 2014

This study is to identify the factors and explore the moderating effects of gender in influencing customer behavioral intention to adopt mobile commerce in Shanghai and Guangzhou in China. An extended study based on TRA, TPB and TAM, UTAUT, technology adoption model is applied for designing on this study model of behavioral intention to adopt mobile commerce focused on emotional variables and cross-gender differences. The results of analysis reveal that the effects of perceived risk, personal innovativeness, individual familarity and social influence on behavioral intentions to adopt mobile commerce as well as to differ across gender. Differences cross gender is specially the perceived risk and social influence. Findings imply that mobile commerce operators need to be communicated to female consumers, the risk-free quality including security, payment and certification system along with the social influence of using mobile commerce. When targeting female consumers in China, the word of mouth marketing strategic approach and improvement of communications of mobile commerce should be focused.

• Journal of Information Science Theory and Practice
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• v.12 no.1
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• pp.60-76
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• 2024

Broadband Internet has proven to be vital for economic growth in developed countries. Developing countries have implemented several initiatives to increase their broadband access. However, its full potential can only be realized through adoption and use. With lower-middle-income countries accounting for the majority of the world's unconnected population, this study employs the theory of planned behavior (TPB) to investigate users' intentions to adopt broadband. Rural Tanzania was chosen as a case study. A cross-sectional study was conducted over three weeks, using 155 people from seven villages with the lowest broadband adoption rates. Non-probability voluntary response sampling was used to recruit the participants. Using the TPB constructs: attitude toward behavior (ATB), subjective norms (SN), and perceived behavioral control (PBC), ordinal regression analysis was employed to predict intention. Descriptive statistical analysis yielded mean scores (standard deviation) as 3.59 (0.46) for ATB, 3.34 (0.40) for SN, 3.75 (0.29) for PBC, and 4.12 (0.66) for intention. The model adequately described the data based on a comparison of the model with predictors and the null model, which revealed a substantial improvement in fit (p<0.05). Moreover, the predictors accounted for 50.3% of the variation in the intention to use broadband Internet, demonstrating the predictive power of the TPB constructs. Furthermore, the TPB constructs were all significant positive predictors of intention: ATB (β=1.938, p<0.05), SN (β=2.144, p<0.05), and PBC (β=1.437, p=0.013). The findings of this study provide insight into how behavioral factors influence the likelihood of individuals adopting broadband Internet and could guide interventions through policies meant to promote broadband adoption.

• Journal of Distribution Science
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• v.19 no.11
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• pp.91-98
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• 2021

Purpose: With the interest and ability in recruitment, it is totally worthy to discover how is labor market developed in Vietnam since the existence of the Internet. Considering employers as well as recruiters similar to jobseekers in term of technology adoption of job distribution, they should be treated fairly while performing their scopes of work. This paper aims to explore how employers perceive online recruiting platform as a supportive system, and this is to find out contributions of external factors regarding Job Boards behavioral intention to use. Research design, data and methodology: Conceptual framework tests the hypotheses involving in recruitment websites. Results: The results suggest that Board of Directors (BoD) or direct middle managers need to pay more attention on how their workforce performs through various channels of recruitment - both formal and informal, such as Linkedin or Facebook rather than a few compulsory job boards - no longer being accessed with high performance expectancy. However, the technology adaptation of recruitment is still a controversial issue due to its access to privacy of users. Conclusion: Therefore, employers should be more careful on how their personal contacts are going to be delivering without consent. Secondly, keeping systems up to date and "connected" is essential for both employees and employers.