Behavioral Intention Research Articles

Retraction notice: Influence of values, brand consciousness and behavioral intentions in predicting luxury fashion consumption

Retraction notice: Influence of values, brand consciousness and behavioral intentions in predicting luxury fashion consumption

Perceived blockchain-related information transparency and organic food purchase intention: an extension of the theory of planned behaviour with the moderation role of blockchain-based trust

PurposeThe current study aims to investigate the impact of perceived blockchain-related information transparency on consumers’ intention to purchase organic food. This study examines how perceived blockchain- related information transparency, directly and indirectly, affects purchase intentions through attitudes, perceived behavioural control and subjective norms. Additionally, the study explores how blockchain-based trust moderates the influence of perceived blockchain-related information transparency on these factors and the intention to purchase organic food.Design/methodology/approachBased on the theory of planned behaviour framework and a sample of 5,326 consumers, this study uses partial least squares structural equation modelling to test the research model.FindingsThis study finds that perceived blockchain-related information transparency directly enhances consumers’ attitudes towards organic food purchase, perceived behavioural control, subjective norms and intention to purchase organic food. Additionally, perceived blockchain-related information transparency indirectly affects consumers’ intention to buy organic food through three antecedents of the theory of planned behaviour model. Notably, these indirect effects were moderated by consumers’ blockchain-based trust.Practical implicationsThis study provides recommendations for leveraging blockchain to enhance transparency and build trust, which could boost consumer engagement and organic food purchases.Originality/valueThis research contributes to blockchain literature by empirically examining the role of perceived blockchain-related transparency and blockchain-based trust in consumers’ purchasing decisions regarding organic food. It provides valuable insights into the consumer-centric benefits of blockchain technology. Furthermore, this study also contributes to the literature on organic food, particularly its promotion through blockchain technology.

Analysis of Mathematics Education Students' ICT Behavior at IAIN Syekh Nurjati Cirebon Post-Pandemic

This study analyzes student behavior in using ICT when using LMS at IAIN Syekh Nurjati Cirebon. This study used quantitative methods with a survey research design. The type of survey used is a cross-sectional survey design. Samples were taken from Mathematics Education students in semesters I, III, V and VII, as many as 258 from 627 active students in 2021/2022 using the stratified random sampling method. The instrument was developed following the aspects and indicators in the TAM model, containing (1) perceived ease of use, (2) perceived usefulness, (3) attitude towards using, (4) behavioral intention to use, and (5) actual usage. The instrument will be tested for validity using CVR and reliability using the Guttman Split-Half Coefficient correlation. Data on student behavior using ICT were analyzed using Widoyoko categorization. The study results showed that the instrument was confirmed to be valid and reliable, with students' behavior in using ICT categorized as "good." The findings suggest that students are generally well-prepared to engage with ICT tools for online learning, reflecting their adaptability and positive attitudes toward technology adoption. However, to maximize the potential benefits of ICT in education, the study highlights the need for institutions to implement targeted strategies. These include providing more comprehensive ICT training programs, upgrading and maintaining digital infrastructure, and creating policies encouraging consistent and meaningful use of ICT in learning activities.

Development and initial validation of the group exercise motivation scale and associated factors in an Asian population.

Physical activity is crucial in health promotion. Exercise in groups can strengthen the benefits of exercise itself. However, the scale measuring the motivation for group exercise is scare. To develop and preliminarily validate the Group Exercise Motivation Scale (GEMS) in a global Asian population. A total of 1021 participants from seven regions across the world were recruited. Based on the theory of planned behavior, we developed an initial 20-item scale for the measurement of group exercise motivation and conducted an exploratory factor analysis (EFA). Then, a confirmatory factor analysis (CFA) was performed to replicate the factor structure obtained through EFA with a refined 15-item scale, among 510 and 511 participants, respectively. Four dimensions have been derived including personal attitude, subjective norms, perceived behavioral control, and behavioral intention. The GEMS showed acceptable factorial validity, satisfactory reliability (Cronbach's α 0.779 and McDonald's omega 0.745), and no floor/ceiling effect. The scale was developed in Chinese language. The GEMS has utility as an assessment for group exercise motivation. This study provides evidence for future longitudinal studies to evaluate the effectiveness of group exercise in the field of public health.

Public attitude and media governance of biometric information dissemination in the era of digital intelligence

Absrtact: In the era of digital intelligence, biometrics plays a critical role in mediating sensitive information dissemination, human-computer interaction, and governance in both virtual and real-world settings, including the evolving metaverse. Based on an empirical analysis of 1,862 participants, the current study investigated factors influencing public perception, acceptance, and risk awareness of biometric technologies. The findings highlight the critical roles of perceived trust (PT) and technical prudence (TP) in driving behavioral intentions (BI), with their positive effects outweighing the significant deterrent impact of perceived risks (PR). While PT and perceived availability (PA) significantly enhance the adoption of biometric technologies, TP exhibited an unexpected positive influence, suggesting that cautious users may still embrace biometrics if perceived as secure and trustworthy. These results emphasize the urgency of refining legal and regulatory frameworks, improving risk mitigation strategies, and enhancing user confidence to foster the responsible adoption and utilization of biometric technologies. This study offers valuable insights into the interplay of factors such as perceived trust, risks, and technological prudence in shaping behavioral intentions, contributing to a deeper understanding of biometrics in a rapidly digitizing society.

Millennial behavioral intentions toward socially responsible investment: an application of norm activation model in a developing country

Purpose Sustainable financial practices are integral to achieving the United Nation’s development goals that necessitates the collaborative efforts of both corporate and investors. This study focuses on investors’ pro-environmental personal norms (PN) along with hedonic values on socially responsible investment (SRI) intentions, which could help in understanding investors’ responsiveness to corporate Environmental, Social and Governance efforts. Design/methodology/approach The sample for this study included 415 responses from young millennial investors, using a cross-sectional research design. A two-step structural equation model was used to analyze construct reliability and validity and to test the hypotheses and overall model predictability. The mediating role of ascribed responsibility (AR) between the awareness of consequence (AOC) and PNs was investigated. Findings These results indicate that AOC and AR substantially affect PNs. PNs based on AOC and AR was found to be significant but scored lower than hedonic considerations for SRI. In addition, the relationship between AOC and PNs exhibited a full mediation effect on AR. Practical implications These findings suggest that investors are environmentally conscious when aware of the repercussions of their actions. They feel accountable, even when making financial choices. Fund managers might include more environmentally responsible companies in their portfolios and the government could offer tax incentives to attract investors. The active economic participation of an increasing number of pro-environmental investors can improve the macroeconomic climate. Originality/value This is the first study to use the norm activation model for pro-environmental behavior in a financial setting. Most previous studies have focused on social norms to showcase individuals’ obligation and responsibility for a good cause. However, this study demonstrates the importance of personal moral obligation in shaping societal norms. Hedonism is a new dimension in the context of responsible investment.

Dentists’ readiness to accept an electronic oral health surveillance system in Egypt using a modified framework of the unified theory of acceptance and use of technology (UTAUT): a cross-sectional survey

BackgroundEffective public health surveillance is essential for policymaking and resource allocation. The World Health Organization (WHO) supports the integration of mobile technologies to create mobile Oral (m-Oral) Health surveillance systems to enhance disease monitoring. The effectiveness and sustainability of electronic health information initiatives depend on users’ acceptance of new technologies. This research assessed dentists’ acceptance of electronic oral health surveillance systems (EOHSS) and related factors, guided by the Unified Theory of Acceptance and Use of Technology (UTAUT) model.Materials and methodsA cross-sectional study included 1470 Egyptian dentists in an online survey from November 2023 to May 2024. The dentists were recruited from the five administrative regions in Egypt using convenience and snowball sampling. Participants responded to a questionnaire that was based on the UTAUT model. Structural equation model (SEM) was used for data analysis.Results83.4% of dentists intended to use EOHSS. Performance expectancy (PE) (ß = 0.240, 95% CI: 0.182, 0.295), training adequacy (TA) (ß = 0.232, 95% CI: 0.165, 0.291), and effort expectancy (EE) (ß = 0.231, 95% CI: 0.169, 0.289) had the greatest influence on behavioral intention (BI). In contrast, anxiety towards electronic systems (ANX) (ß = -0.140, 95% CI: -0.187, -0.095) had a significant negative effect on BI. Effort Expectancy (EE) had a significantly stronger positive impact on BI of females than males. Moreover, EE had a significantly stronger impact on BI of dentists older than 40 years old than those who were younger than 30 years old.ConclusionsEgyptian dentists’ intentions to use the EOHSS were influenced by PE, TA, and EE. However, anxiety related to technology may limit its adoption. EE had a greater positive impact on BI in females and in older dentists.

Factors Affecting the Drought Preparedness in Somaliland

Somaliland, located in the Horn of Africa, has been increasingly vulnerable to recurring droughts over the past years, severely affecting its agricultural productivity, water resources, and overall resilience. Despite the rising frequency of these natural disasters, there is limited research on the factors influencing residents’ preparedness, which hinders effective disaster management efforts. The purpose of this study was to examine factors that influence the perceived effectiveness of Somaliland residents towards drought preparedness by utilizing an extended Protection Motivation Theory (PMT) approach. The latent variables that were considered in this study were Government Intervention, Drought Awareness, Environmental Awareness, Coping Appraisal, Threat Appraisal, Behavioral Intention, and Perceived Effectiveness. Two hundred fifty-four (254) people living in Somaliland from all regional areas willingly responded to the survey questions by utilizing a snowball sampling method. Partial Least Square-Structural Equation Modeling (PLS-SEM) showed that drought awareness and environmental awareness had significant effects on threat appraisal. In addition, environmental awareness also had a significant positive effect on coping appraisal. Finally, threat appraisal and coping appraisal had significant effects on behavioral intention, which subsequently led to perceived effectiveness. This study addresses a gap in academic research and disaster preparedness efforts in Somaliland by providing insights into the theoretical framework that can enhance the country’s preparedness for drought and other natural hazards.

Sharing economy as an alternative to fast fashion: a behavioral intention model

Purpose This study aims to investigate the factors influencing the adoption of sharing economy (SE) practices, specifically focusing on virtual clothing sharing platforms (VCSPs) as a sustainable alternative to fast fashion (FF). Given the negative environmental impact, labor exploitation and disposable culture associated with FF, this research aims to understand how economic, environmental and social motivations affect consumer behavioral intentions toward using VCSPs. Design/methodology/approach Data were collected through a survey of 392 participants from a global online academic institution operating across Europe, Asia, America and Africa. The sample included individuals from diverse professional, demographic and educational backgrounds, providing relevant context for studying VCSPs. The study uses the decomposed theory of planned behavior (DTPB) and structural equation modeling to analyze the data, focusing on how motivations and COVID-19 influence consumer engagement with VCSPs. Findings The results reveal that environmental and prosocial motivations are the primary determinants driving VCSPs adoption, followed by economic and social factors. The study also identifies a significant impact of COVID-19 on consumer intentions. Originality/value This research expands the literature on SE within the fashion sector by providing new insights into consumer behavior. The proposed model enhances the predictive power of DTPB by integrating additional variables, including trust, decomposing perceived utility into four dimensions, COVID-19 influence and new relationships, offering a more holistic view of the adoption process. The findings have significant implications for advancing sustainable fashion initiatives and offer viable alternatives to FF.

Indian Millennials’ continued usage intentions toward online dating apps: the interplay between trust and perceived autonomy

Purpose This study aims to empirically examine the role of privacy, security, trust and autonomy in Millennials’ continued use of online dating applications. Emerging markets have been famous for their rapid modernization, growth and cultural shifts. Yet, consumer worries about online dating consumption need to be addressed in the literature through a better understanding of their behavioural intentions. This study examines the interplay of the underlying variables by testing a conceptual framework grounded on the theory of reasoned action (TRA), the self-determination theory (SDT) and the information systems continuance theory (ISCT) with regard to an emerging market. Design/methodology/approach A cross-sectional and quantitative research design is adopted. Using a well-designed structured questionnaire adapted from established scales, data was collected through a survey featuring 332 substantive responses from actively involved Millennial users of online dating apps in India. The data was analysed using confirmatory factor analysis (CFA) and structural equation modelling (SEM) through IBM SPSS AMOS (Analysis of Moment Structures) 24.0 to provide evidence of the reliability and validity of constructs alongside testing the hypothesis in the proposed model. Furthermore, Preacher and Hayes’ (2004) approach is used to explore mediation effects. Findings The results show that autonomy and trust positively affect the continued use of online dating apps. The study further reveals that autonomous behaviour motivates Millennials to use online dating apps, overriding their concerns for privacy and security. Furthermore, the results indicate that trust fully mediates the relationship between concern for privacy, perceived security and continued usage intention. Therefore, trust affects users’ intentions to continue using online dating apps as it bridges the effect of users’ concern for privacy and the perceived security in the online dating platform, making these dimensions relevant as a whole. Research limitations/implications This study provides critical insights into the theory and practice. The findings demonstrate that autonomy is more significant in motivating Millennials to use online dating apps than concerns about privacy and perceptions of security. In addition, trust plays a crucial role in mediating the relationship between these variables. Therefore, app developers, app marketers and app stores can use the findings to motivate Millennials to continue using their platforms by encouraging a sense of freedom and a better inner self, fostering engagement and conveying user trust. Originality/value Several studies have investigated the pre-adoption behaviour of users of online dating apps, and little attention has been paid to continuance usage. This study provides a unique theoretical research model and perspective for online dating apps that uncovers the role of concern for privacy, perceived security and trust that affect post-adoption behaviour by integrating the TRA, SDT and ISCT. This integration offers a more futuristic and refined perspective on human behaviour by considering both cognitive and motivational aspects. The study establishes that autonomy outweighs concern for privacy and perceived security.

Unlocking the secrets of stock market investment behaviour: A comparative study among rural and urban investors in an emerging economy

This paper aims to determine how investors’ financial planning and investment intention mediate the relationship between attitude and investment behaviour in the stock market. This research contains two cross-sectional surveys on 386 rural (R) and 392 urban (U) investors through “partial least square-structural equation modelling (PLS-SEM)”. The outcomes exhibited that social influence significantly influences whereas perceived risk insignificantly influences financial attitude in both studies. Further, financial knowledge significantly influenced the financial attitude in Study U; however, it insignificantly influenced Study R. Further, the results exhibited that there is a substantial association exist between financial attitude, financial planning, investment intention and investment behaviour in both studies. Based on cumulative prospect theory, this unique and timely research contributes in the prior literature by delivering an in-depth understanding of why investors are hesitant to invest in stock market. The current article extends the academic literature with new conceptual insights that researchers have not studied earlier in developing nations.

Factors Affecting University Students’ Behavioral Intention to Use Teaching Application

Factors Affecting University Students’ Behavioral Intention to Use Teaching Application

The Influence of Performance Expectancy, Effort Expectancy, And Social Influence on Use Behavior with Behavioral Intention as A Mediator (A Case Study of Cash on Delivery (COD) System Users in Marketplaces)

Online shopping has gained significant popularity due to the numerous conveniences it offers. Several marketplaces provide various premium services, including the Cash on Delivery (COD) payment system, which has become a prominent feature in Indonesia. COD caters to individuals who prefer traditional payment methods and are skeptical about online transactions. This payment method allows customers to mitigate concerns about potential fraud, such as non-delivery of goods or receiving empty packages, thereby offering a sense of security and trust in their purchases. This study aims to investigate the relationships between the variables of Performance Expectancy, Effort Expectancy, Social Influence, Behavioral Intention, and Use Behavior. The sample comprises individuals who have shopped on a marketplace using the COD payment system, with a total of 348 respondents. This research employs a quantitative approach, utilizing nonprobability sampling and data collection facilitated by the G-Power application. Data analysis was conducted using Smart-PLS version 4 software. The findings reveal a positive and significant impact of performance expectancy on behavioral intention, a positive and significant effect of effort expectancy on behavioral intention, and a positive and significant influence of social influence on behavioral intention. Furthermore, behavioral intention positively and significantly affects use behavior. Additionally, performance expectancy, effort expectancy, and social influence positively and significantly impact use behavior through behavioral intention.

What factors influence the individual’s behavior in engaging in income tax evasion? An investigation using SEM and fsQCA

PurposeThe substantial rise in tax evasion raises concerns about its adverse impact on the tax system’s integrity. This article aims to empirically investigate the factors affecting income tax evasion behavior among individuals in India’s National Capital Region (NCR).Design/methodology/approachA cross-sectional design was applied to gather primary data from (N = 548) taxpayers using a “self-administered survey questionnaire.” The hybrid “partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA)” approach was applied to analyze the data.FindingsThis research presents a comprehensive model that explains 53.4% of the variance in behavioral intention and accounts for 51.4% in the actual behavior of individuals who participate in income tax evasion. The outcomes show that high tax burden, corruption and complexity of the tax system significantly influence behavioral intention. On the contrary, digitalization and tax morale insignificantly influence behavioral intention. Notably, behavioral intention is significantly associated with the actual behavior of individuals engaging in income tax evasion.Practical implicationsThe outcomes offer valuable implications for practitioners, including policymakers, governments and tax authorities, to effectively curb income tax evasion behavior and help them make informed decisions.Originality/valueThe innovative research model enhances prevailing knowledge by providing empirical insights into the effect of income tax evasion behavior among individuals in India. This study also contributes methodologically by combining PLS (linear) and fsQCA (nonlinear) techniques, demonstrating that both methodologies offer a deeper comprehension of the factors affecting individual behavior to engage in income tax evasion.

The impact of perceived usefulness, ease of use, trust, and usage attitude on the intention to maintain engagement in AR/VR sports: An exploration of the technology acceptance framework

This study examines how perceived usefulness, ease of use, trust, and usage attitude influence the intention to maintain engagement in AR/VR sports. Virtual Reality (VR) and Augmented Reality (AR) technologies have garnered significant attention in the sports domain in recent years, holding promise for substantial economic and social benefits in the future. However, factors influencing user acceptance and continued use of AR/VR remain unclear. To foster sustained adoption of AR/VR sports technologies and meet the growing demand for diverse forms of athletic activities, this study investigates the factors influencing Chinese sports university students' willingness to continue participating in VR/AR sports using the Technology Acceptance Model (TAM). Data were collected through a questionnaire survey among 283 Chinese sports major university students who had participated in VR/AR sports. Data processing and hypothesis testing were conducted using SPSS 26.0 and AMOS 24.0. The main findings of this study are as follows: First, perceived usefulness has a positive influence on usage attitudes. Second, perceived ease of use positively influences user attitudes. Third, trust positively influences usage attitudes. Fourth, usage attitudes have a positive influence on behavioral intentions. These findings expand the application and explanatory power of TAM in the field of AR/VR sports and offer practical implications for the industry. They can serve as a reference for developing marketing strategies to encourage continued consumer use of these services in the future.

Exploring Perceptions and Treatment-Seeking Behaviors for Viral Hepatitis Among the Ethnic Irula Tribe in Tamil Nadu, India: A Qualitative Study on Health Disparities.

Qualitative research was undertaken to determine the perceptions and treatment-seeking behaviors of the Irula tribal populations in Tamil Nadu, India, and to explore the depth, diversity, and complexity of viral hepatitis. An in-depth interview (IDI) was conducted among the eligible respondents. A purposive sampling technique was used to obtain the study subjects. The IDI was conducted among the community leader, male and female participants, and other representatives, e.g., ward members (Panchayat). We gathered data regarding the perceptions of viral hepatitis and behavioral intentions. Thematic analysis was used to generate the results of the qualitative research. Four themes emerged from the codes of the current qualitative study: (1) the general perception, transmission, and treatment of viral hepatitis; (2) stigma and discrimination; (3) health-seeking behavior towards viral hepatitis; and (4) morbidity patterns were significant themes. Most of the nomadic tribes hold incorrect perceptions regarding viral hepatitis and liver cancer risk, and women were reported to have a higher perceived risk than men. The participants displayed high hope and confidence, which motivated them to participate actively in viral hepatitis prevention activities. Programs and policies geared towards enhancing viral hepatitis prevention in this sub-population may consider sociocultural factors observed to influence prevention behaviors.

Predictors of Consumer Intention Towards Upcycling Practice and Consumption in Brazil

Objective: The aim of this study is to investigate the predictors that influence consumer intention to adopt upcycling practices in Brazil. Theoretical Framework: Upcycling emerges as an innovative consumption approach, standing out as a more sustainable alternative compared to traditional methods of goods production. Method: The research adopted a quantitative methodology, using a survey to assess consumers' perceptions of upcycling. Multivariate data analysis and structural equation modeling were applied to identify correlations between the proposed constructs and gain insights into participants' perspectives. Results and Discussion: The results indicate that the factors positively predicting consumer willingness to engage in upcycling are, in order of influence: behavioral intention, followed by the role of beliefs and perceived facilitating conditions, which include skills, knowledge, and inspiration. Research Implications: The research makes a theoretical contribution by providing valuable insights, derived from primary data, into consumers' perceptions of their willingness to engage in upcycling. Practically, the study offers significant implications for management and public policies by promoting a more sustainable consumption approach, raising environmental awareness, and generating tangible social benefits. Originality/Value: The study advances the development of the proposed theoretical model by including and analyzing the influence of predictive factors such as autonomy, empowerment, and entrepreneurial opportunities in the creation of new businesses. The results demonstrate that these factors play crucial roles and make significant contributions to the advancement of consumer behavior theory, deepening the understanding of this phenomenon in practice and promoting more sustainable consumption practices.

Will I virtually try and buy? – exploring the adoption of virtual fitting rooms through the lens of perceived value, risk, and consumer characteristics

ABSTRACT Despite the potential of Virtual Fitting Rooms in overcoming the difficulties of online shopping, online retailers are grappling to expedite their widespread adoption. By integrating the technology acceptance model and perceived risk theory, this study validates a comprehensive framework to examine the impact of perceived value and perceived risk on their adoption. A cross-sectional survey-based research design was adopted using structural equation modelling and process macro. The results reflect that while perceived value positively impacts consumers’ behavioural intention to use VFRs, perceived risk exhibited an inverse relationship with the consumers’ behavioural intention to use VFRs. Also, the results confirm consumers’ behavioural intention to use the VFRs exerted a significant impact on VFRs adoption. Additionally, it was found that while consumer self-confidence moderates the relationship between perceived value, perceived risk and consumer behavioural intention, consumer innovativeness has no moderation effect on the relationship between perceived value, perceived risk and consumer behavioural intention to use VFRs. This study provides novel insights to online retailers and web designers to design appropriate strategies to integrate VFRs into their systems and enhance consumers’shopping experience.

Communicating biodiversity research on YouTube: An experimental comparison of scientists and third-party presenters.

Online videos are a popular medium for science communication. These videos can be presented from many perspectives, including scientists sharing their own work or a third-party presenting research findings. A mixed between- and within-subjects experiment (n = 620) was conducted in the United States to assess the impact of narrative perspective on the communication objectives of increasing knowledge, changing perceptions, and influencing behavior related to bee diversity. Results indicate that watching a video presented by a scientist was associated with higher levels of perceived competence and a higher likelihood to mention a person or persons when recalling the video. However, we did not find significant effects of narrative perspective on knowledge gain and behavioral intentions to help support bee diversity.

Integrating Motivation Theory into the AIED Curriculum for Technical Education: Examining the Impact on Learning Outcomes and the Moderating Role of Computer Self-Efficacy

The integration of artificial intelligence (AI) technologies into education has gained increasing attention, yet limited research examines how the curriculum design can enhance learning outcomes and influence learners’ intentions to continue AI learning. This study addresses this gap by integrating the theory of planned behavior, technology acceptance model, theories of motivation, and computer self-efficacy to explore the factors affecting learners’ behavioral intentions in AI education. Using the AI course quality as the primary antecedent and “intention to continue taking courses” as the dependent variable, the study investigates the structural relationships and mediating variables between these factors. Data were collected through a stratified random sampling method from 19 universities in Taiwan, involving 200 students who had completed five core AI-related courses, including artificial intelligence, machine learning, internet of things, big data, and robotics. The analysis, conducted using PLS-SEM, revealed that AI course quality directly and indirectly influences learners’ behavioral intentions through mediating variables such as learning satisfaction, computer self-efficacy, technological literacy, and computer learning motivation. Moreover, AI course quality exerted a significant positive effect on computer motivation, which, in turn, influenced self-efficacy and learning outcomes. These findings provide valuable insights into the antecedents and processes shaping learners’ intentions to continue AI learning, offering practical and theoretical implications for AI education.