Behavioral Intention Research Articles

‘I will not use it because the results are bad’ – understanding the influence of the drug checking service on changing consumption behavior

Background Based on the theories of reasoned action and planned behavior, this study aimed to investigate the impact of drug checking services (DCS) on clients’ consumption behavior and to assess the intention to use drugs based on DC results, underlying motives and the consistency between intention and actual behavior. Methods Two anonymous questionnaires were sent to the clients of a Slovenian integrated DCS (No = 364), the first when the DC results were returned by e-mail – including closed and open questions – and the second after 10–14 days to check whether the first intention was maintained. Results The results show that the information provided by the DCS fosters the intention to avoid the use when the substance tested is not the one expected (65.5% of cases), with a strong correlation between the level of health risk of the sample (adulterations, substance other than the one purchased) and attitudes towards drug use. Conclusion Although the results should be strengthened by including larger samples, the study has demonstrated the potential of DCS to reduce health risks, particularly among PWUD and provides an example of how the impact of DCS on behavioral choices can be investigated.

Explaining Privacy Paradox on WeChat

With the development of the information age, people need to disclose personal information in exchange for socializing and related services. At the same time, people's privacy concerns are gradually increasing. Privacy paradox has become a normal phenomenon in social network sites (SNS). The loss of control of privacy might lead to privacy fatigue. Previous work has studied the mechanism of privacy paradox and explored the influence of specific factors on privacy paradox. However, the effect of privacy fatigue on privacy paradox among SNS users has not been studied. In this study, we use structural equation modeling (SEM) to explore the effect of privacy fatigue on personal information disclosure intentions and actual behaviors among WeChat users. Our results of 710 participants showed that privacy fatigue has a mediating role between privacy concern and privacy disclosure intention, and has a positive influence on privacy disclosure intention and disclosure behavior. Based on these results, we provide implications to reduce privacy fatigue and privacy paradox.

A Study of Undergraduates’ Behavioral Intention to Use Generative AI Tools—Ernie Bot as An Example

With the rapid advancement of artificial intelligence technology, its influence on various sectors is increasing. Ernie Bot, a leading tool in generative AI, has garnered significant attention and application. This study utilizes the Unified Theory of Acceptance and Use of Technology (UTAUT) and introduces the concepts of Perceived Risk and Information Quality to construct a model that examines the factors influencing undergraduates’ behavioral intention to use generative AI tools like Ernie Bot. Using questionnaire data collected from 175 undergraduates, a structural equation model was employed to analyze the relationships between variables. The findings indicate that Social Influence, Information Quality, and Performance Expectancy positively impact the Behavioral Intention to use Ernie Bot. However, Effort Expectancy was not found to be a significant determinant of Behavioral Intention among undergraduates. Additionally, the study revealed that Perceived Risk did not negatively affect Behavioral Intention. These results offer valuable insights for the design and development of generative AI products, suggesting that enhancing Information Quality and leveraging Social Influence could improve user acceptance.

Towards women's digital health equity: A qualitative inquiry into attitude and adoption of reproductive mHealth services in Bangladesh.

Health equity in Bangladesh faces a large chasm over the economic conditions, socio-cultural factors and geographic location despite the push for digitalization of the health sector. While some research has been conducted assessing the viability of digital health solutions in Bangladesh, gender dynamics of digital healthcare have been absent. This study dived into healthcare equity for women with a focus on reproductive health services delivered through mobile devices. This paper reported the findings of a qualitative study employing in-depth interviews conducted among 26 women about their behavioral intention to use mHealth services for reproductive health and the underlying factors influencing this intention with the help of the Integrative Model of Planned Behavior (IMPB). A snowball sampling technique were used to interview those university educated women, aged 21-31, based on their familiarity and exposure of mHealth services from seven universities in Bangladesh. The findings suggested that users of mHealth services find it more convenient and secure compared to visiting healthcare facilities, especially for trivial issues and inquiries regarding their reproductive health. Although promoting such services is lagging behind traditional healthcare, the attitude toward reproductive health services in Bangladesh is generally favorable resulting increasing adoption and use. Because such information-related mobile services (apps, websites, and social media) served as a first base of knowledge on reproductive health among many young girls and women in Bangladesh, who are generally shy to share or talk about their menstruation or personal health problems with family members, peers, or even health professionals due to socio-cultural factors and stigmatization. Conversely, urban centric services, availability of experts, quality management, security of privacy, authenticity of the information, digital divide, lack of campaign initiatives, lack of equipment and technology, lack of sex education, and outdated apps and websites were identified as obstacles that constrain the widespread use of reproductive mHealth services in Bangladesh. This study also concluded that promotion will be crucial in reforming conservative norms, taboos, and misconceptions about women's health and recommended such endeavors to be initiated by the policy makers as there is a substantive need for a specific policy regulating emerging digital health market in Bangladesh. Notwithstanding, women-only sample, low sample size, narrow focus on mHealth users and absence of perspectives from healthcare providers were among shortcomings of this study which could be addressed in future research. Further quantitative explorations are must to determine the usage patterns of reproductive mHealth services and their effectiveness that would identify implementation challenges in terms of customization and personalization in reproductive healthcare in a developing country like Bangladesh.

Using structural equation modelling to investigate the mediating effects of TPACK on intention to use technology

This article aims to understand, through structural equation modelling (SEM), how the knowledge of technological pedagogical and content knowledge (TPACK) mediates the intention to accept and use technology by teachers’ college lecturers. The ultimate aim is to come up with a sem-generated model which teacher training colleges can use to train lecturers in technology use. Structural equation modeling is a sophisticated multivariate statistical process that enables researchers to analyze the direct and indirect effects of variables on one another, construct theoretical concepts, test the reliability of their measurements, hypothesize and test a theory about their relationships, and account for measurement errors. A questionnaire founded on the unified theory of acceptance and use of technology (UTAUT) was employed to gather data from instructors at ten teacher-training colleges. Simple random sampling was used to select 300 valid questionnaires used in the analysis. Statistic package R was used to run SEM and the results confirmed the mediating role of TPACK in the behavior intention to accept and use technology by lecturers.

Applying the Theory of Planned Behavior in Sexuality Education: Educators’ Behavioral Intentions Toward Sexuality Issues

Grounded on Ajzen’s theory of planned behavior (1991), the current project in two studies (N = 402) examined Greek and Spanish pre-service early childhood educators’ behavioral intentions (i.e., approach and avoidance intentions) toward young children’s sexual curiosities. Specifically, the current research project aimed to examine whether Greek and Spanish pre-service early childhood educators’ views on sexuality education were linked to their behavioral intentions toward children’s sexual curiosities. The current research also examined whether conservative ideology (religiosity and right-wing political orientation) moderates the link between educators’ views and their behavioral intentions. This study’s findings showed that educators’ views influence their behavioral intentions toward children’s curiosity about sexual issues. In addition, moderation analysis showed religiosity’s role in avoidance intention. This result provides evidence that there are theoretical and empirical grounds to assume that conservative worldviews (i.e., religiosity) significantly influence behavioral intentions concerning sexuality education. The theory of planned behavior not only represents the factors influencing intention but also provides an opportunity to comprehend the impacts of contextual and individual background elements that may be relevant to a particular behavior.

Use Behavior Analysis Of Job Seekers Using The E-Recruitment System In The Special Region Of Yogyakarta

E-Recruitment is a job search platform for job seekers. In the modern era, organizations adapt human resource recruitment systems to remain viable. Where the success of e-recruitment depends on the large number of uses of the e-recruitment platform and the organization getting competent human resources. The aim of this research is to determine the influence of performance expectancy, effort expectancy, social influence, facilitating conditions on behavioral intention, and behavioral intention on the use behavior of job seekers using e-recruitment in the Special Region of Yogyakarta. This type of research is quantitative descriptive, namely research that uses mathematical models, theories and/or hypotheses related to natural phenomena. The sample in this study used a purposive sampling technique, where the sample population in the Special Region of Yogyakarta was 210 job seekers who had used e-recruitment. Based on the results of research conducted by researchers in the Special Region of Yogyakarta, what was found was that performance expectancy, effort expectancy, social influence, facilitating conditions together have a significant influence on behavioral intention, and behavioral intention influences the use behavior of job seekers using e- recruitment in the Special Region of Yogyakarta with a p value < 5%, meaning that if performance expectancy, effort expectancy, social influence, facilitating conditions increase, interest in using e-recruitment will also increase, and the higher the level of behavioral intention, the use of e-recruitment behavior will also increase.

Theatrical Rerelease: The Effect of Viewers’ Film Perceptions on Companion Preference, Willingness to Pay, and Willingness to Travel

While the recent theatrical rerelease of films has managed to bring large crowds back to the theaters, it is yet to be seen if rereleased films stimulate an increase in domestic tourist arrivals. In this regard, this study investigates the relationship between the viewers’ impression of the film in question and their behavioral intentions. The role of a film's cognitive and affective images in shaping the viewers’ willingness to travel is explored through direct and indirect effects of companion preference and willingness to pay. We use a sample of undergraduate and graduate students to test our hypotheses based on scales adapted from various studies. A total of 206 responses were collected and analyzed through PLS‐SEM. Results show a significant relationship between viewers’ cognitive impression of the film, their willingness to pay, and willingness to travel. While films??? affective image did not affect viewers’ behavioral intentions, it significantly affected their preference for having a companion. Our findings allow us to extend the current definitions of film tourism, which is limited to the idea of visiting destinations portrayed in the films. We then discuss how theatrical rereleases can assist destinations in elongating tourist stay and increase tourist arrivals.

The Effects of Dynamic Link Between Sustainable Development Goals (SDGs) And Medical Tourism: A Study of Medical Tourist Intention in Malaysia and Indonesia

Purpose: The study attempts to examine the behavioural intention of the medical tourist in choosing Malaysia and Indonesia as medical tourism destination. Theoretical framework: There are three determinants (behavior intention, perceived destination image, perceive value and trust as mediator are included in the current study. The theory of Planned Behavior shall form the basis of the conceptual framework for this study. Design/methodology/approach: This descriptive study aims to investigate the phenomenon of medical tourism through questionnaires. It assesses measurement scales for reliability and validity, and explores relationships between perceived destination image, perceived value, and behavioral intention, ultimately seeking to generalize findings to the broader population. Findings: This study illustrates that all the variables are vital in influencing Malaysia and Indonesia as destination for medical tourism. Based on the theory of Planned Behavior have form the basis of the variables. Hence, all antecedent factors need to be taken into consideration which will influence the medical tourists. Research, Practical & Social implications: Future research should focus on the comparative discussion for public hospitals and private hospitals in order to improve Malaysia’s and Indonesia’s performance in competing with other country as well as building trust among the medical tourists so that we (Malaysia and Indonesia) will be their first choice for medical tourism. Originality/value: By understanding the relationships between behavioral intention, destination image, perceived value and trust, the destination country would have a better idea how to and improve their marketing efforts in attracting as many medical tourists as possible.

How to Promote the Adoption of Electric Robotaxis: Understanding the Moderating Role of Inclusive Design on Interactive Features

In recent years, China has witnessed a growing trend in the adoption of electric robotaxi services, with an increasing number of users beginning to experience this emerging mode of transportation. However, enhancing user willingness to ride remains a core challenge that the electric robotaxi industry urgently needs to address. Our study approached this issue from the perspective of interactive features, surveying 880 respondents and utilizing structural equation modeling to analyze user preferences. The research findings indicate that computer-based entertainment has a significant positive impact on traffic information completeness and social interaction, with a large effect (β > 0.5, p < 0.05), and it also exerts a small positive effect on behavioral intention (β > 0.1, p < 0.05). Traffic information completeness and social interaction have a medium positive effect on behavioral intention (β > 0.3, p < 0.05). In addition, we confirmed that inclusive design, gender, and age have significant moderating effects. Understanding the impact of inclusive design on user behavior can help drive industry changes, creating a more inclusive human–vehicle interaction environment for people with different abilities, such as those with autism. Our study reveals the key factors influencing users’ willingness to ride and offers insights and recommendations for the development and practical application of interactive features in electric robotaxis.

The Role of UTAUT2 in Understanding Technology Adoption: A Study of the Merdeka Mengajar Platform Among Indonesian Teachers

This research investigates the adoption of the Merdeka Mengajar application using the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. The study aims to identify the factors influencing teachers' behavioral intentions and usage behavior regarding this educational technology platform. A total of 383 teachers from various levels in Malang were sampled from a broader population of 8,936. Statistical analysis uses SEM (Structural Equation Modelling) analysis techniques. The findings suggest that performance expectancy, effort expectancy, social influence, hedonic motivation, and price value significantly influence behavioral intention. However, facilitating conditions and habit do not show a direct significant impact on use behavior. These results indicate that while technological support such as infrastructure and internet access is necessary, it alone may not be enough to motivate consistent usage without internal factors like perceived usefulness or enjoyment of the app. Moreover, the habitual use of new technology may require additional support and time before it can significantly affect behavior. This study contributes valuable insights into the adoption of educational technologies, especially in the Indonesian context, where digital learning platforms are increasingly being integrated into teaching practices. Future research may explore how ongoing support and user experience improvements can further enhance the app's adoption.

Applying an Extended Theory of Planned Behavior to Predict Young Drivers’ In-Vehicle Information System (IVIS) Use Intention and Behavior While Driving: A Longitudinal Two-Wave Survey

In-vehicle information system (IVIS) use while driving has raised concerns about driver distraction, especially for young drivers. To understand better their psychological factors, an extended theory of planned behavior (TPB) was employed to predict young drivers’ IVIS use intentions and behavior while driving. A two-wave longitudinal survey was conducted to explore the temporal effects of ‘intention–behavior’ causality. At Time 1, 236 qualified participants completed a main questionnaire assessing the standard TPB constructs (attitude, subjective norms, and perceived behavior control) and the extended constructs (descriptive norms, moral norms, and perceived risks). At Time 2, 145 follow-up questionnaires measuring self-reported behavior were successfully administered. The hierarchical multiple regression analyses showed that the standard constructs account for 36.5% of the intention variance and 41.2% of the behavior variance. The extended constructs additionally contributed 20.3% of intention variance. All variables were identified as significant predictors of intentions, except for perceived crash risks and perceived risks of being caught and fined. The sole significant predictor of prospective behavior was intention. Theoretically, the findings further support the efficacy of the TPB in explaining IVIS use while driving. Practically, it is helpful to design non-legal interventions that sustainably reduce young drivers’ engagement in IVIS-related distractions.

Pathway to Trauma-Informed Rehabilitation Counseling: Vocational Rehabilitation Counselors’ Training Experiences and Use of Trauma-Relevant Knowledge in Daily Practice

The compelling evidence regarding the prevalence and profound impacts of traumatic experiences on individuals with disabilities underscores the need to establish trauma-informed service environments within vocational rehabilitation (VR). In an initial endeavor towards cultivating trauma-informed service, this study investigates the VR counselors’ professional training experiences in the topical areas of trauma. Further, the applicability of the Technology Acceptance Model (TAM 2) is examined in elucidating the utilization of trauma knowledge by VR counselors in their practices. A needs assessment focusing on trauma training was distributed to 169 VR counselors to measure their trauma-related training history and utilization of trauma knowledge in practices. Path analysis was employed to examine the relationship between training experience and the actual use of trauma knowledge in counseling based on the TAM 2 framework. Participants reported having 9.71 hours of post-graduate training. Path analysis suggested adding three additional paths to the original research model, explaining how post-graduate training leads to the use of trauma knowledge in VR service through perceived ease of use, usefulness, attitude toward using, and behavioral intention. The profession of rehabilitation counseling needs to incorporate more trauma-related training into its practice, education, and research to better serve individuals with disabilities and improve the effectiveness of services.

Self‐supervised vessel trajectory segmentation via learning spatio‐temporal semantics

AbstractThe study of vessel trajectories (VTs) holds significant benefits for marine route management and resource development. VT segmentation serves as a foundation for extracting vessel motion primitives and enables analysis of vessel manoeuvring habits and behavioural intentions. However, existing methods relying on predefined behaviour patterns face high labelling costs, which hinder accurate pattern recognition. This paper proposes a self‐supervised vessel trajectory segmentation method (SS‐VTS), which segments VTs based on their inherent spatio‐temporal semantics. SS‐VTS adaptively divides VTs into cells of optimal size. Then, it extracts split points on different semantic levels from the multi‐dimensional feature sequence of the VTs using self‐supervised learning. Finally, spatio‐temporal distance fusion module is performed on split points to determine change points and obtain VT segments with multiple semantics. Experiments on a real automatic identification system datasets show that SS‐VTS achieves state‐of‐the‐art segmentation results compared to seven baseline methods.

Bystanders’ Reactions to a Woman Victim of Sextortion: Moral Outrage, Victim Blaming and Reputational Damage

ABSTRACTSextortion is a scantly investigated crime in which entrusted authority is abused to obtain sex in exchange for a service or benefit. Based on the literature on gender violence, in the present research, we examined the role of moral evaluations of the victims in predicting potential bystanders’ attitudes and behavioural intentions towards a woman who is a victim of a sextortion incident. In three experimental studies conducted with Italian participants (Study 1: n = 291; Study 2: n = 288; Study 3: n = 331), participants read a scenario describing a woman victim of sextortion and then rated the victim on moral outrage, moral evaluation, blame attribution, perceived reputational damage, and indicated their willingness to help her. The results highlighted that the victim was always perceived as less moral and more blameworthy when she caved into sextortion (vs. not). Furthermore, a sequential mediation model showed that, across all studies, caving into (vs. resisting) sextortion elicited stronger feelings of moral outrage towards the victim, as well as the perception of lower morality, which, in turn, reduced the willingness to offer help. In Study 3, this pattern was significant only when the woman reported the incident 1 year later (vs. 1 week). Current findings show that the peculiar transactional nature of sexual abuse makes sextortion victims appear to be complicit in the act. Thus, recognising the power dynamics through which sextortion can be used to exploit and abuse individuals is paramount to avoid secondary victimisation.

Artificial Intelligence-Driven Skin Aging Simulation as a Novel Skin Cancer Prevention

Introduction: Skin cancer, a prevalent cancer type among fair-skinned patients globally, poses a relevant public health concern due to rising incidence rates. Ultraviolet (UV) radiation poses a major risk factor for skin cancer. However, intentional tanning associated with sunburns remains a common practice, notably among female adults. Appropriate prevention campaigns targeting children and adolescents are needed to improve sun protection behavior particularly in these age groups. The aim of our study was to investigate if an AI-based simulation of facial skin aging can enhance sun protection behavior in female adults. Methods: In this single-center, prospective, observational pilot study at Department of Dermatology at the University Hospital of Basel, we took photographs of healthy young females’ faces with a VISIA-CR camera (Version 8.2; Canfield Scientific Inc., Parsippany, NJ, USA) between February and March 2021. Digital images were performed in three angles (straight, left 45°, and right 45°). All participants received an AI-based simulation of their facial skin with continuous aging to 80 years. A newly created anonymous questionnaire capturing participants’ sociodemographic data and also tanning and sun protection behavior was completed in pre- and post-aging simulation. To observe long-term effects, a 2-year follow-up was conducted between March and April 2023. Results: The 60 participants (mean age 23.6 ± 2.5 years) evaluated the importance of sun protection significantly higher after skin aging simulation with VISIA-CR camera (p < 0.0001; 95% CI: 8.2–8.8). Post-intervention, 91.7% (55/60) of the females were motivated to reduce UV exposure and to intensify UV protection in the future since the individual UV-dependent risk was perceived significantly higher (p < 0.001; 95% CI: 5.9–6.7). At 2-year follow-up, 96% (24/25) indicated persistent effort reducing UV exposure. The preference for SPF 50+ sunscreen increased to 46.7% (28/65) directly after the skin aging simulation and continued to rise up to 60.0% (15/25) after 2 years. Conclusions: Our data emphasize the potential of AI-assisted photoaging interventions to enhance motivation for UV protection in the short and the long term. We encourage that different age and gender groups are addressed in a personalized, generation-specific manner with the appropriate media and by considering the Hawthorne effect. Campaigns with visual AI support can improve the intent of cancer-preventative behavior.

Correction to: Unlocking the link: protection motivation intention in ethics programs and unethical workplace behavior

Correction to: Unlocking the link: protection motivation intention in ethics programs and unethical workplace behavior

Exploring the influence of ‘Korean Wave’ on brand loyalty: The moderating role of product type

The ‘Korean Wave’ has significantly impacted the global economy, especially in Indonesia. However, there is a gap in understanding how Korean celebrities, as brand ambassadors, influence local consumer behavior and purchase intentions. This study aims to clarify this impact using the theory of planned behavior (TPB) framework. The roles of brand attachment, brand love, and brand loyalty, moderated by product type, were examined with 194 survey respondents, and data was analyzed using SmartPLS software. Key findings indicate that brand personality significantly influences brand attachment. Customer brand engagement positively affects brand love. Brand attachment impacts both brand loyalty and brand love, while brand love strongly influences brand loyalty. Brand loyalty significantly affects purchase intentions, confirming that loyal customers are more likely to make repeat purchases. Product type only moderates the influence of brand attachment on brand loyalty, not the influence of brand love on brand loyalty. The implications for marketers are significant. Businesses should leverage Korean celebrities as brand ambassadors to enhance brand visibility and loyalty. Aligning brand personality with ambassadors can deepen consumer attachment. Creating engaging content and focusing on emotional branding can foster stronger connections. Tailoring marketing strategies to different product types and monitoring brand loyalty feedback can enhance market performance. Despite its contributions, the study acknowledges limitations, including potential demographic biases and the need for broader cultural and product category exploration in future research.

Collaborative conservation for snow leopards: Lessons learned from successful community‐based interventions

AbstractCollaborative conservation interventions based on engagement with local communities are increasingly common, especially for large carnivores that negatively impact people's livelihoods and well‐being. However, evaluating the effectiveness of large‐scale community‐based conservation interventions is rarely done, making it problematic to assess or justify their impact. In our study focused on snow leopards (Panthera uncia) in five countries, we show that bespoke and well‐implemented community‐based and conflict management intervention efforts can lead to more sustainable conservation outcomes. Collaborative interventions, spread over about 88,000 km2 of snow leopard habitat, reduced livestock depredation and disease and associated economic costs. Additionally, they generated conservation‐linked livelihoods and enhanced community decision‐making, leading to more positive behavioral intent toward snow leopards and improved communities’ cooperation, economic security, and confidence. Our results provide lessons learned and recommendations for practitioners and governments to alleviate conflicts and foster coexistence with snow leopards and large carnivores more broadly. These include prioritizing locally led tailored solutions based on the PARTNERS principles, recognizing local community rights in conservation decision‐making, and recognizing the role of social norms in ensuring accountability.

Revolutionizing Dance Education Through the Assessment of Online Videoconferencing to Increase Participation in Dance: Learning Philippine Traditional Dances

The present study investigated the determinants affecting students’ actual use through the use of a video-conferencing platform, and how actual use affects dance engagement, for enhancing the learning experience in the domain of dance education, particularly Philippine Traditional Dances. Therefore, this predictive-causal study aimed to assess the effect of actual use (by adopting Technology Acceptance Model) to dance engagement from a total sample of 1,741 students by using Partial Least Square-Structural Equation Modelling. It was observed that perceived ease of use directly affects perceived usefulness; both PEOU and PU impacts Behavioral Intention and Actual Use; and BI leverages Actual Use of the videoconferencing platform. Moreover, it was also found that AU strengthens Dance Engagement. Findings indicate that students may benefit greatly from using the videoconferencing platform that may significantly bolster their dance engagement in learning Philippine traditional dances, but with some obstacles that needs to be taken into consideration.