Individual Behavioral Intention Research Articles

The Effects of Past Behavioral Bias on Mutual Fund Investors Intention: Examining the Moderating Impact of Knowledge

This study aims to understand individual behavioral intentions toward mutual fund investors using the theory of planned behavior (TPB). Financial knowledge is used as a moderating variable to test the relationship between the antecedents of investment intention. Convenience sampling was used to obtain 236 samples. Statistical analyses were performed using the SPSS and AMOS software. The research discovered that subjective norms and perceived behavioral control had a substantial impact on individuals’ intention to invest. Financial knowledge is positively moderated by the antecedents of investment intentions. This study suggests that following the initial phases of decision-making, investors seek information from a variety of sources, including feedback from family and friends, podcasts, social media, and prior experiences. Marketers and financial advisors should educate investors of all ages and education groups on where and how to select and build portfolios of mutual funds in financial markets.

Behavioral Intention of Women to Use E-Learning

Behavioral intention research suggests that it can effectively predicts intention to adopt information technology and emphasizes the importance of examining antecedents of such use. However, the literature also highlights that individual behavioral intentions can be affected by external factors and social influences. Current study examines the impacts of different factors (quality, social, behavioral, and innovative) on behavioral intention to use e-learning system. We designed special instruments to examine female students' behavioral intention to adopt e-learning system by extending the TPB as foundational framework. An extension of TPB is used with McLean & Delone and Innovative Theory to enhance the overall theoretical framework. Survey data collected from 699 female e-learning participants to test the study hypotheses. Findings suggested that subjective norms, self-efficacy, environment quality, and perceived innovativeness presented significant associations to behavioral intention of e-learning. Research implications and limitations are also examined and discussed.

Identifying Key Factors Shaping New Users' Intentions in Mobile Investment Applications

This paper seeks to examine the key factors predicting the behavioral intentions of mobile investment app users. By understanding these influencing factors, the ultimate goal is to encourage more people to adopt and accept these apps. Adopting an integrated approach, the research combines different UTAUT2 (Unified Theory of Acceptance and Use of Technology 2) constructs for hypothesis development and to evaluate the effects on users’ adoption and behavior use of such platforms. Through an online survey among 161 users of popular mobile investing applications in Indonesia and applying structural equation modeling for analysis with the SmartPLS statistical tool, this research contributes empirical evidence on factors that drive user behavior in the mobile investment domain. The final model provided a good basis for proving the hypotheses presented and the factors can account for 65.6% of the variability in mobile investment app behavior intention. The results show that Habit, Performance Expectancy, and Effort Expectancy are the key factors impacting individual behavioral intention to get mobile investment. These findings will assist researchers and professionals in understanding why individuals utilize mobile investment apps. More importantly, this study's recommendations will help utilize these aspects to enhance these apps’ benefits.

Predictors of environmental guilt, and its role as a mediator of the association between human-nature relation and pro-environmental behavior intentions

The aim of the two studies (N = 245 and N = 199) was to investigate the predictors of environmental guilt and analyze its mediating role between human-nature relationship and pro-environmental behavior intentions. In the first study, the connectedness to nature and social dominance orientation emerged as predictors of environmental guilt. In addition, guilt was an important mediator of the relationship between the connectedness and individual pro- environmental behavior. In the second study, guilt was predicted by gender, by locating the causes of the climate crisis in human activities rather than in the Earth's natural cycles, and by environmental nostalgia. In addition, guilt mediated the relationship between environmental nostalgia and willingness to engage in collective action and support systemic changes. Thus, environmental guilt seems to be an important factor in predicting a wide range of environmentally friendly activities: individual behavioral intentions, willingness to engage in collective actions, and support for systemic changes.

More is not always better: the role of Social Media Information in shaping individual low-carbon behavioral intention

ABSTRACT Social media greatly facilitates people’s access to information; however, it can also lead to information overload and exposure to uncomfortable content that may cause individuals to avoid it. As a result, two types of influencing mechanisms emerge: information exposure and information avoidance, which may impact users’ behaviors. Currently, there is limited understanding of the simultaneous effects of social media information exposure and avoidance on individuals’ behavioral intentions towards climate change mitigation. Using survey data for 1056 Chinese Gen-Z undergraduates and based on the extended theory of planned behavior, this paper utilizes a partial least squares structural equation model to examine the effects of social media information exposure and information avoidance on individual low-carbon behavioral intention. The results show that information exposure on social media has a positive relationship with behavioral attitude, subjective norm, and perceived behavioral control, and then increasing the low-carbon behavioral intention. Information avoidance has a negative association with three factors, respectively, and decreases the low-carbon behavioral intention. Additionally, exposure to social media information has the greatest impact on the subjective norm and the least impact on behavioral attitude; information avoidance has the greatest impact on behavioral attitude, whereas perceived behavioral control is the least affected. Drawing from the results, we propose policy recommendations that facilitate information exposure while addressing avoidance in shaping low-carbon behavioral intentions. Those implications would help reconcile the two opposing effects while promoting public engagement in climate activities.

Using an extended model of the reasoned action approach to explore individual behavioral intentions regarding litter and plastic pollution prevention in a developing country.

Implementing litter and plastic pollution prevention strategies is essential for cities of developing countries, mainly due to the prevailing high incidence of littering and the urgent need to realize the adverse per capita environmental impact target of the sustainable development goals. In this article, we report the use of the prominent reasoned action approach-in its original state and an extended model with moral norms-for exploring the critical socio-cognitive determinants of individuals' litter prevention intentions in Ghana. By analyzing the valid answers of 447 participants to a structured questionnaire on litter prevention, we found attitudes (β = 0.35, SE = 0.014, p < 0.001) and moral norms (β = 0.57, SE = 0.099, p < 0.001) as the most influencing determinants to individual intentions in the original and the extended models, respectively. The analysis suggests that individuals will stop littering their environments if environmentally friendly interventions are implemented to elicit self-responsibility and moral obligation. Campaigns that demonstrate the effects of littering on drain blockage, flooding, and disease outbreaks may improve individual litter prevention attitudes. Installing waste receptacles in public spaces and communicating persuasive messages may facilitate personal antilittering intentions. Apart from contributing to the implementation of a litter management strategy to reduce the flood risk and enhance the resilience of the Greater Accra region of Ghana, this research helps to close the literature gaps in litter prevention behavior in developing countries, as well as support the implementation of the sustainable development goals and the global plastic action partnership.

Patients’ behavioral intentions toward robotic adoption in healthcare: An approach on apprehension of embedding robotics

The ubiquitous healthcare sector requires a variegated set of emerging innovations and advanced technologies in the healthcare sector. Healthcare stakeholders in a turbulent marketplace continuously strive to maintain relevance; thus, the healthcare robotics notion has emerged to become a game-changer in the human realm. These emerging systems provide new possibilities to create a core value for stakeholders, specifically care providers and care receivers, in the turbulent environment. Although robotics is moving forward in healthcare, human inertia and apprehension are still anchors exerting robotics. Human behaviors and attitudes may change with time and in different circumstances. This paper aims to contribute a new perspective to the patients’ degree of apprehensions—trust, ethical, privacy, and legal concerns—which affect their behavioral intentions toward robotics adoption in healthcare by considering the moderating effect of social crises, including the aging and COVID-19 pandemic. The brink of a robotic era is encountered with challenges, including the aging population and COVID-19 for public and private healthcare stakeholders worldwide. Hence, this study’s essential support is to investigate emerging technology adoption and hurdles to ascertain how the patients’ behavioral intentions might affect robotic adoption in healthcare. Furthermore, this paper examines the anchors’ factors that affect individual behavioral intentions to successfully propose remedies to embed robotics in the human realm. The results indicate that trust, privacy, and ethical concerns are direct predictors of behavioral intentions toward robotic adoption. Moreover, behavioral intentions toward robotics adoption significantly affect the actual use of robotics in the healthcare industry in the future. Furthermore, social inertia, including aging and pandemics, significantly and positively affects behavioral intentions toward healthcare robotic adoption and use. Finally, both aging and pandemic positive interactions affect actual robotic use in the future of the healthcare industry.

The Role of Self-Efficacy, Task Value, and Intrinsic and Extrinsic Motivations in Students' Feedback Engagement in English Learning.

Drawing on Wigfield and Eccles's motivational theory, which is acclaimed for explaining individual behavioral intentions, this study investigated the extent to which different forms of motivation (i.e., self-efficacy, task value, and intrinsic and extrinsic motivations) predicted student behavioral feedback engagement (i.e., action on teacher feedback and feedback seeking) in English learning. The participants were 276 male and female students who were enrolled in a second-year full-time English language and literature program at two Chinese universities. Multiple regression analyses showed that task value emerged as the only motivational variable that significantly predicted both students' action on teacher feedback and feedback seeking. Intrinsic motivation significantly predicted action on teacher feedback, whereas extrinsic motivation and self-efficacy significantly predicted feedback seeking. Pedagogical implications for endeavors to support students in their engagement with feedback in learning English as a foreign language in China are discussed.

Intention to Saving of Z Generation at Islamic Bank in Bandung Raya

A phenomenon the low number of customers using Islamic banking compared to conventional banking in Indonesia, where the majority of the population is a Muslim. Then, potential islamic bank customer groups are students or people with an age range between 18 to 24 years, which is the potential of West Java Province as the largest population of Z generation. The research objective to analyze the factors that influence individual behavioral intentions to saving in islamic bank by using the Theory of Planned Behavior (TPB). 100 questionnaires were distributed to people belonging to the Z generation category in Bandung Raya. Data from the questionnaire were analyzed using structural equation modeling (SEM). Results explain there is a positive effect of intention on saving behavior, positive effect of subjective norms on intention, positive effect of PBC on intention, the effect of religiosity on intention, and positive effect of costumer satisfaction on saving behavior.

Testing the effectiveness of narrative messages using critical health communication

ABSTRACT Background: Latinos suffer from health disparities associated with excessive consumption of sugar-sweetened beverages. This study aimed to test the effectiveness of messaging using critical health communication approaches and delivered by two narrative modalities (video and comic book) with similar content that aims to empower Latinos to advocate for social change and to make individual behavior change related to sugary beverage consumption. Methods: Participants (N = 129 Mexican American women between 18 and 29 years) completed an online survey before and after exposure to an embedded stimulus. Participants were randomly assigned to a stimulus, a narrative message in video or comic book format, both developed using critical health communication approaches that focused on individual harms and social causes of sugary beverage consumption. Results: Paired sample t-test results showed that both narrative messages increased intentions to reduce sugary beverage consumption (Video: P < 0.01; d = 0.43; Comic: P = 0.03; d = 0.28). Both groups also demonstrated significant improvements in sugary beverage-related media literacy (Video: P = 0.01, d = 0.34; Comic: P = 0.05, d = 0.25), public health literacy (Video: P = 0.05, d = 0.24; Comic: P = 0.01, d = 0.32), and empowerment to engage in sugary beverage-related community movements (Video: P = 0.003, d = 0.38; Comic: P = 0.034, d = 0.27). Conclusions: This study provides initial evidence indicating the effectiveness of narrative messages in two modalities using critical health communication for promoting individual behavioral intention and social activation in reducing sugary beverage consumption.

Adoption of Environmental Information Chatbot Services Based on the Internet of Educational Things in Smart Schools: Structural Equation Modeling Approach

The Internet of Educational Things (IoET) equips chatbots with real-time environmental information monitoring to prevent student and instructor absences and safeguard their health. Individual behavioral intention toward a chatbot service is essential for better understanding the user’s experience and acceptance of monitoring environmental elements such as PM2.5, temperature, humidity, and carbon monoxide. This study aims to apply an integration of an extended framework for smart schools developing an environmental information chatbot service (ENICS) and various users’ continued behavioral intentions toward the chatbot system based on the unified theory of acceptance and use of technology model to support health and safety in universities. The proposed framework design can incorporate Internet of Things architecture to develop and utilize the chatbot services. The key results of the partial least square test largely support the validity of the proposed model and the significant effects of IoET, performance expectation, effort expectation, social influence, facilitating conditions, health and safety, behavioral intention, and use behavior on personal environmental information chatbot utilization. This study’s findings deal with a better design for environmental system development and understanding the factors influencing an individual’s intention to continue using a chatbot service for IoET applications with low-cost information facilities in safe environmental sustainability.

Predicting the behavioral intentions of hospice and palliative care providers from real-world data using supervised learning: A cross-sectional survey study.

BackgroundHospice and palliative care (HPC) aims to improve end-of-life quality and has received much more attention through the lens of an aging population in the midst of the coronavirus disease pandemic. However, several barriers remain in China due to a lack of professional HPC providers with positive behavioral intentions. Therefore, we conducted an original study introducing machine learning to explore individual behavioral intentions and detect factors of enablers of, and barriers to, excavating potential human resources and improving HPC accessibility.MethodsA cross-sectional study was designed to investigate healthcare providers' behavioral intentions, knowledge, attitudes, and practices in hospice care (KAPHC) with an indigenized KAPHC scale. Binary Logistic Regression and Random Forest Classifier (RFC) were performed to model impacting and predict individual behavioral intentions.ResultsThe RFC showed high sensitivity (accuracy = 0.75; F1 score = 0.84; recall = 0.94). Attitude could directly or indirectly improve work enthusiasm and is the most efficient approach to reveal behavioral intentions. Continuous practice could also improve individual confidence and willingness to provide HPC. In addition, scientific knowledge and related skills were the foundation of implementing HPC.ConclusionIndividual behavioral intention is crucial for improving HPC accessibility, particularly at the initial stage. A well-trained RFC can help estimate individual behavioral intentions to organize a productive team and promote additional policies.

A Hybrid Grey DEMATEL and PLS-SEM Model to Investigate COVID-19 Vaccination Intention

The main objective of this study is to comprehensively investigate individuals’ vaccination intention against COVID-19 during the second wave of COVID-19 spread in Vietnam using a novel hybrid approach. First, the Decision-Making Trial and Evaluation Laboratory based on Grey Theory (DEMATEL-G) was employed to explore the critical factors of vaccination intention among individuals. Second, Partial Least Squares-Structural Equation Modeling (PLS-SEM) was applied to test the hypotheses of individual behavioral intention to get the vaccine to prevent the outbreak of COVID-19. A panel of 661 valid respondents was collected from June 2021 to July 2021, and confidentiality was maintained for all data obtained. The results identified that perception of COVID-19 vaccination and trust in vaccination strategy directly associated with individuals’ COVID-19 immunization. Hence, the perceived severity of COVID-19 has an indirect impact on COVID-19 vaccination intentions via the perception of the COVID-19 vaccine. These findings indicated that the government's information about vaccines is necessary for the new phase of vaccination intervention strategies in Vietnam. Therefore, the study suggests that the government needs to give complete information about the role of vaccines prioritizes transparency in official information about COVID-19 vaccines to allay concerns about side effects, allowing for the most appropriate policy formulation and implementation to encourage public vaccination. Future studies can apply PLS-SEM and other MCDM models with the fuzzy, hesitant numbers to re-evaluate the feasibility, validity and reliability of this research's proposed model.

UTAUT Model: Identifying the Driving Factors of the Intention to Use Paylater

Information and Communication Technology (ICT) has developed rapidly that drives to the growth of digital transaction in recent years. E-commerce companies create features in order to deal with their customers, such as paylater in their digital payment. It offers a payment method that is almost similar to a credit card which allows customers to buy products or services right now with the delaying of payment. This phenomenon becomes regular in e-commerce business. Thus, this study aims to examine what factors influence individual behavioral intention in adopting paylater by using Unified Theory of Acceptance and Use of Technology (UTAUT) theory. A total of 167 respondents was involved in this study. Data were analyzed by using Structural Equation Modeling (SEM). The result showed that only performance expectancy and facilitating conditions have a significant influence on behavioral intention.

Factors Affecting the Perceived Effectiveness in Preventing the Transmission of COVID-19 in Indonesia: Integrating the Extended Theory of Planned Behavior and Health Belief Model

The coronavirus (COVID-19) is an infectious disease declared a pandemic worldwide by the World Health Organization (WHO). The purpose of the research was to look at the factors in public health behavior that affected the effectiveness of preventing the transmission of the COVID-19 based on the extended Theory of Planned Behavior (TPB) and Health Belief Model (HBM). The research was a correlational study. The research applied a purposive sampling method, with 483 respondents coming from various islands in Indonesia. Based on the analysis using Partial Least Square-Structural Equation Modelling (PLS-SEM), TPB factors like individuals' behavioral intention to follow COVID-19 preventive measures are significantly affected by subjective norm and perceived behavior control. On the other hand, personal attitude does not significantly affect an individual's behavioral intention to follow COVID-19 prevention steps. HBM shows an individual’s behavior intention to follow the COVID-19 preventive measures is significant and directly affected by perceived severity, perceived barrier, perceived self-efficacy, and cues to action. Meanwhile, the perceived susceptibility and perceived benefits do not significantly and directly influence an individual's behavioral intention to follow the COVID-19 preventive measures. The findings from the research can be used to evaluate the effectiveness in several countries in facing the COVID-19 pandemic.

Anthropomorphic Strategies Promote Wildlife Conservation through Empathy: The Moderation Role of the Public Epidemic Situation.

The global illegal wildlife trade directly threatens biodiversity and leads to disease outbreaks and epidemics. In order to avoid the loss of endangered species and ensure public health security, it is necessary to intervene in illegal wildlife trade and promote public awareness of the need for wildlife conservation. Anthropomorphism is a basic and common psychological process in humans that plays a crucial role in determining how a person interacts with other non-human agents. Previous research indicates that anthropomorphizing nature entities through metaphors could increase individual behavioral intention of wildlife conservation. However, relatively little is known about the mechanism by which anthropomorphism influences behavioral intention and whether social context affects the effect of anthropomorphism. This research investigated the impact of negative emotions associated with a pandemic situation on the effectiveness of anthropomorphic strategies for wildlife conservation across two experimental studies. Experiment 1 recruited 245 college students online and asked them to read a combination of texts and pictures as anthropomorphic materials. The results indicated that anthropomorphic materials could increase participants’ empathy and decrease their wildlife product consumption intention. Experiment 2 recruited 140 college students online and they were required to read the same materials as experiment 1 after watching a video related to epidemics. The results showed that the effect of wildlife anthropomorphization vanished if participants’ negative emotion was aroused by the video. The present research provides experimental evidence that anthropomorphic strategies would be useful for boosting public support for wildlife conservation. However, policymakers and conservation organizations must be careful about the negative effects of the pandemic context, as the negative emotions produced by it seems to weaken the effectiveness of anthropomorphic strategies.

Analysis of Young Generations toward Stock Investment Intention: A Preliminary Study in an Emerging Market

Research aims: This study attempts to analyze the young generations' perceptive variables in Indonesia, namely millennial (generation Y) and generation Z toward stock investment intention preliminarily.Design/Methodology/Approach: This study posits perceptive variables from the Theory of Planned Behavior (TPB) with various demographic characteristics as tablemoderating variables. This study utilized a structured online questionnaire survey to collect 64 samples and being analyzed by PLS-SEM. The group differences that being examined were investigated with multi-group analysis.Research findings: The findings from this study revealed that not all perceptive variables from TPB were significant on young Indonesian generations toward stock investment intention; only attitudes toward behavior had a significant effect. These findings were contrary to prior literature. Besides, Indonesia's young generations’ education level also played a moderating role in influencing stock investment intention. Theoretical contribution/Originality: This preliminary study provides potential facts regarding the applicability of the Theory of Planned Behavior in the emerging market (Indonesia) in stock investment intention.Practitioner/Policy implication: The practical contribution would be insights for policymaker and Securities Firms regarding young generations’ perspective on stock investment and what possible actions in terms of policies, programs, and campaigns that need to be done to increase the growth of investors’ number in Indonesia. For public firms, the insights could be useful in constructing sustainability strategies in terms of funding source from the firm’s stock.Research limitation/Implication: The sample used for this preliminary study was restricted to young generations divided into generation Y and Z from Indonesia only. This study focused on the fundamental implementation of TPB only; hence, the individual behavioral intention analysis was limited to TPB proxies. Since an online survey using a questionnaire was used to collect the data, the findings were limited and depending on the respondents’ answers regarding the issue.

Health-risk perception and its mediating effect on protective behavioral adaptation to heat waves

Ensuring spontaneously adjusting behaviors of the public in their daily life in response to heat waves is an important aspect of successful public health intervention under climate change. However, the current response behavior guidance released by the government is insufficient because of the limited understanding of public perceptions of heat-related risk and the motivating factors for the public's diverse adaptive behaviors. Here, we conducted a survey on the behavioral adaptations of 3065 urban residents in response to heat waves in Jinan, which is a typical city suffering from a hot climate. We provided evidence on the current state of residents’ perception of heat waves and the mechanism of how risk perception mediates individual behavioral intentions upon exposure to high ambient temperatures. We found that the mediating effects of risk perception varied significantly with respect to different types of adaptive behaviors. Concern behaviors appeared be motivated completely by the mediating effects of perceived concern (b = 0.45, p < 0.01 for concerns about health guidelines; b = 0.36, p < 0.01 for concerns about the weather forecast) and severity (b = 0.11, p < 0.01 for concerns about health guidelines), while outdoor activity could be consciously adjusted according to temperature changes without those mediating effects (p > 0.05). Indoor cooling behaviors and transportation behaviors are partially mediated by risk perception (b = −0.04, p < 0.01; b = 0.08, p < 0.01; b = 0.08, p < 0.01 for indoor fan usage, use of air-conditioned buses, and use of private cars, respectively). The conclusions could help determine more targeted and detailed interventions to enhance public behavioral adjustments, including participation in adaption to and emergency preparedness for extreme temperature under the ongoing climate changes.

Food Sustainability as a Strategic Value Driver in the Hotel Industry

This paper aims at exploring the impact of green food on consumers’ purchase attitudes toward a hotel stay and on consumers’ behavioral intentions (i.e., intention to visit the hotel, intention to offer positive recommendations to others and willingness to pay a premium price), focusing on an Italian perspective where the food is a worldwide famous cultural element. This research employed a survey sent out by email to a database of contacts provided by an Italian company that operates in tourism. Data collection was completed in four weeks and the initial dataset counted 3586 of target respondents. A total of 302 surveys were completed and the data were analyzed through structural equation modeling (SEM). Firstly, an exploratory factor analysis (EFA) was performed, followed by a confirmatory factor analysis (CFA) that leads to the estimation of the structural model. The results show that personal beliefs toward green food are positively associated with respondents’ purchase attitudes toward green food. Moreover, stronger purchase attitudes toward green food lead to more favorable purchase attitudes toward hotels that offer green food, further substantiating the investigation about whether or not consumers’ attitudes employ similar concerns on sustainability for their daily purchases as well as for vacation products and services. In turn, the latter purchase attitudes are positively associated with individual behavioral intentions toward hotels that offer green food.

Research investigations on the use or non-use of hearing aids in the smart cities

This study aims to explore factors influencing behavioral intention to adopt hearing aids among old adults in smart cities. It argues that trust is a moderator to influence the relationship between attitude, subjective norm and individual's behavioral intention in smart cities. This study tests hypotheses using a sample of 103 respondents from six smart cities in China. The results reveal that attitude is main factor influencing individual's behavioral intention. Subjective norm and trust are both not statistically significant at the 95% confidence interval in the model of multiple-regression. Interestingly, it finds that trust moderates the relationship between subjective norm and individual's behavioral intention. It means that the audiologists' advice can positively affect person's behavioral intention in smart cities. The findings imply that the Theory of Reasoned Action can be partially used to explain the person's behavioral intention in Chinese context. This study contributes to encourage old people to use smart hospitals to consult audiologists about hearing loss and hearing aids rehabilitation. Hence, hearing aids can improve their quality of life (QoL), which can be reflected by the improved standard of living, better access to treatments and also the positive sentiment about their life, including comfort, friendship, happiness and a closer connection to the society.