Variance In Behavioral Intention Research Articles

Understanding the factors of mobile payment continuance intention: empirical test in Saudi Arabia

Purpose: The objective of this study is to explore the determinants of individuals' intentions to continue utilize mobile payment services by examining integrated model of the constructs of the Technology Acceptance Model (TAM) (perceived ease of use and perceived usefulness) and the Theory of Planned Behavior (TPB) (attitude, subjective norm, and perceived behavioral control). Furthermore, the study investigates the relationship between user satisfaction and their intention to persist in using mobile payment. Methodology: In this quantitative investigation, a sample of 474 mobile e-wallet users was surveyed online. Partial least squares structural equation modeling was employed for data analysis. Findings: The study reveals that the constructs from the Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), and user satisfaction collectively influence users' intentions to use e-wallet services. Notably, the model demonstrates its ability to elucidate 59.1% of the variance in behavioral intention to continue utilizing e-wallets. Additionally, both user satisfaction and perceived behavioral control significantly impact the decision to persist in using e-wallets. The insights gleaned from this study can be leveraged by e-wallet stakeholders to inform strategic decisions within the e-wallet ecosystem. Practical implications: The inclusion of TAM and TPB constructs enhances our understanding of e-wallet service utilization. These findings offer valuable insights for service providers, enabling them to tailor their marketing strategies more effectively, thereby ensuring customer satisfaction and continued e-wallet usage. Originality: This study introduces a comprehensive and integrative approach to elucidate the factors influencing the sustained use of e-wallet services. By amalgamating two foundational adoptions above theories, it extends our understanding of mobile payment adoption dynamics.

Understanding Tax Compliance among Sole Proprietors: A Theory of Planned Behaviour Analysis

Issues related to tax compliance represent a significant challenge for tax administrations worldwide. Addressing these concerns is crucial, as non-compliance can lead to substantial losses in government revenue. Drawing on the Theory of Planned Behavior (TPB) as the foundational theoretical framework, this study investigates the determinants of compliance behavior among sole proprietors. Questionnaires were sent to a sample of sole proprietors in Malaysia and were completed by 225 respondents. The results showed that the TPB variables were able to explain 44.7 percent variance in behavioural intention to comply with the tax laws. The sole proprietors' intention to comply with tax regulations was significantly influenced by their attitude toward compliance and their perceived behavioral control. However, it was observed that subjective norms do not exert any influence on the decision of whether to comply with tax laws or not. The findings imply that tax authorities should prioritize addressing attitudes, as favourable attitudes toward the tax system appear to be a key driver of increased tax compliance among sole proprietors. By fostering positive perceptions and attitudes regarding the tax system, tax authorities may enhance overall compliance levels within this specific taxpayer group. In conclusion, this study contributes to the existing body of tax literature and offers initial insights for Malaysian tax policy makers seeking to comprehend the determinants of behavioral intentions regarding tax compliance

Barking up which tree? Characterizing farmers, farms, and a behavioral framework regarding livestock guardian dog use in South Africa

Livestock guardian dogs are one of several predator control methods employed by livestock farmers around the world, but little is known about the factors that predict their use. Here we aim to understand the dimensions which influence guardian dog use by farmers. In a quantitative survey among 113 livestock farmers in South Africa, using Boosted Regression Trees, we explored and characterized the factors associated with guardian dog use. We showed that practical factors (e.g., predator type, number of farming enterprises, mitigation methods, and the frequency and extent of specific predator problems) were more likely to be significant determinants of guardian dog use than sociodemographic factors. However, psychosocial constructs relating to wildlife value orientations, empathy for predators, tolerance to predators, tangible and intangible cost, benefits of predators, like or dislike of predators, and number of positive experiences, were also determinants of guardian dog use. Utilizing the foundational constructs of the Theory of Planned Behavior (TPB) and Wildlife Tolerance Model (WTM) we built upon these findings to show that constructs of attitude, subjective norms, and perceived behavioral control explained 49 % of the variance in behavioral intention to use or continue using a guardian dog. The relationship between attitude and the behavioral intent to use or continue using a guardian dog had less significant association with guardian dog use than either perceived behavioral control or subjective norms had. Nonetheless, attitude was most strongly associated with the constructs of belief in a specific non-governmental organization, mutualistic Wildlife Value Orientations and perceptions of affordability, ease of use and the effectiveness of guardian dogs. The TPB model, incorporating elements of the WTM, provides a framework to guide and improve adoption of guardian dog programs or other intervention strategies within conservation contexts.

Understanding the perception differences on BIM adoption factors across the professions of AEC industry

Architecture, Engineering and Construction (AEC) industry lags behind other industries in terms of digitalization and technology adoption. On the other hand, Building Information Modeling (BIM) is seen as an important tool that can enhance AEC industry. However, BIM adoption might not at the desired level taken into the account of perception differences on BIM use benefits across the professions of AEC industry. Studies on the BIM adoption of construction organizations show that one of the most fundamental factors affecting the adoption is BIM users. Although studies in literature generally aim to measure how BIM adoption can be increased in different countries, none of these studies investigated whether there is a perspective difference on BIM use between BIM users according to occupational groups. In this context, this study has an attempt to develop a better understanding of architects and civil engineers’ perspective on BIM adoption factors in AEC industry. In line with the purpose, main factors affecting the BIM adoption in AEC industry were identified. Then, a survey was conducted with the participation of a total of 150 BIM users. Mean score and independent t-test were performed to explore rankings of BIM adoption factors and the perception differences between architects and civil engineers respectively. According to the analysis results, majority of the perception differences on BIM adoption factors heap together under the triggering variables rather than internal and behavioral intention variables.

Student's Cybersecurity Awareness in Post Covid-19 Pandemic

The study used the Theory of Planned Behavior to investigate the relationship between undergraduate accounting students' knowledge of internal control and cyber security and how it impacts their decision-making and behavior. The study was carried out on Indonesian students, and the data was analyzed by regression analysis. The results showed that students' attitudes and perceived behavioral control positively influenced their intention to practice cybersecurity. However, the effect of subjective norms and education on cyber security was insignificant. The four variables studied accounted for 41.2% of the total variance in behavioral intentions. At the same time, other factors contributed to the remaining variance. The findings suggest a need to assess the effectiveness of current cyber security education practices to achieve educational goals better. The negligible impact of the educational variable highlights the necessity of re-evaluating the current approach to cybersecurity education.

Perceived Effectiveness of COVID-19 Preventive Practices and Behavioral Intention: Survey of a Representative Adult Sample in the United States.

Using existing models of behavioral health promotion, specifically the Extended Parallel Process Model, previous research has identified factors that may impact engagement in preventive health behaviors during the COVID-19 pandemic such as perceived threat, perceived susceptibility to the threat, perceived severity, and perceived efficacy. This study aims to examine the role of perceived effectiveness of COVID-19 preventive behaviors, perceived susceptibility, perceived threat, and perceived severity of COVID-19 in participants' intentions to engage in Centers for Disease Control (CDC)-recommended individual health behaviors in the first year of the pandemic. In October 2020, a representative sample of 506 US adults completed a web-based survey through the RAND American Life Panel. The study primarily found that participants who perceived that CDC-recommended health practices were effective had stronger intentions to engage in those practices. The second strongest correlate was participants' perceived severity of COVID-19 across the United States. Perceived effectiveness of recommended practices accounted for the largest variance in behavioral intention. However, analysis of individual behaviors indicated a mismatch in the behaviors perceived to be the most effective (avoiding sick people and mask-wearing) and those participants indicated intention to engage in (throwing away used tissues, avoiding sick people, and coughing into their elbows) in the next 30 days. The authors recommend tailoring public health messaging to address the perceived threat of COVID-19 and self-efficacy. Thus, health promotion efforts should emphasize the effectiveness of CDC-recommended practices while highlighting the pandemic's severity. Additionally, rebuilding trust in public health messaging and messengers is necessary to increase perceived self-efficacy. As the COVID-19 pandemic continues, health messaging must continue to promote and build trust in CDC-recommended health practices and educate regarding the efficacy of vaccination and other preventive behaviors.

Changing behavior while having climate change in mind? An investigation of social-psychological predictors for specific pro-environmental behaviors in the energy domain

Social scientists and psychologists who study environmental issues need to improve their measures to capture relevant pro-environmental behaviors to reduce greenhouse gas emissions – the main driver of climate change. They also need to identify meaningful predictors for these behaviors, which go beyond mere statistical significance. In this large representative study of the Austrian population (N = 1,083), we aim at addressing both issues. We focus on relevant and specific energy-related behavioral intentions (traveling, electricity consumption and heating) and test a set of preregistered social-psychological predictors in path models, followed by an exploratory machine-learning approach. We show that a combination of some prominent predictors – perceived behavior control, consideration of future and immediate consequences, and willingness to sacrifice – accounts for only 20 to 30% of variance in behavioral intentions. We suggest that future studies confirm our results in other cultures and set even higher qualitative benchmarks for measures and predictors.

Intention of Independent Travelers to Consume Street Foods in The Framework of Extended TPB: The Moderating Role of Hedonism

This study examines the intention of consuming street food during independent travelers' trips based on the Theory of Planned Behavior, which is expanded with the variables of past experience and hedonism. The relationships between the variables of attitude, subjective norm, perceived behavioral control and past experience, and behavioral intention variables were examined. Moreover, moderator role of hedonism variable in the relationship between attitude and behavioral intention was tested. The study was conducted in Istanbul, and 523 of 541 questionnaires were analyzed. Partial least squares structural equation modeling (PLS-SEM) was used to test the five hypotheses proposed in research model. Results showed that attitude, subjective norm, perceived behavioral control and experience, respectively, were important factors affecting the intention of independent travelers to consume street food. However, results also indicated that hedonism does not have a moderating effect between attitude and behavioral intention. It was shown in this study that the expanded Theory of Planned Behavior can be used to explain street food consumption intention. Finally, theoretical and managerial implications of the current study were presented.

Exploring Cloud Computing Adoption in Higher Educational Environment: An Extension of the Tpb Model With Trust, Peer Influences, Perceived Usefulness and Ease of Use

Cloud computing is regarded as the next generation of computing. It is progressively being used as a launching pad for digital innovation and organizational agility. Cloud computing is frequently used by private and public organizations due to its flexibility, collaboration, cost-effectiveness, and scalability. These characteristics make cloud computing indispensable for individuals and businesses such as higher education institutes. Several prior studies covered the technological facets of cloud-based contexts, including cloud security, scalability, and virtualization. However, it is contend that the main barrier to cloud computing isn't technical but cognitive or behavioural, and in particular attitudinal. Thus, this research aims to study higher education’ students’ attitudes and their intention to adopt cloud computing, with a specific concentration on the effect of trust, peer influences, perceived usefulness and ease of use in order to investigate the factors influencing the adoption of cloud computing in higher educational environment in Saudi Arabia. This study presents an extended Decomposed Theory of Planned Behaviour (DTPB) to include trust, peer influences, perceived usefulness and ease of use as a cognition, representing a person’s perception of social influence to perform or not perform a behaviour under consideration. The proposed model was able to explain 62% of the variance in behavioural intention and 65% of students' attitudes towards the adoption of cloud computing in higher educational environment. The study's findings show that the proposed model explained a significant amount of variation in cloud computing adoption. It suggests that the model expansion by incorporating trust, peer influences, perceived usefulness and ease of use factors were valuable explorations. Further, the findings demonstrate that university students' attitudes toward using cloud computing are significantly influenced by perceived ease of use, trust in cloud computing service provider and perceived usefulness, which have the ability to explain their attitude by 22.15%, 21.9% and 20.9% respectively. The result also shows that "subjective norm" alone explains 33.95% of students' "behavioural intentions" towards using cloud computing, followed by their "attitude," which explains around 14.24% of "behavioural intentions," and then university students’ "self-efficacy," with 13.71%.

Implementation Analysis of e-Government Gadget Mobile Application For License (GAMPIL) with UTAUT 2 Model to Achieve SDG Target 8.2 "Technological Improvement and Innovation" For Bandung City SMEs

The government’s current focus is on advancing the digitization of MSMEs with the “ensuring sustainability and inclusive growth” program, this is in line Sustainable Development Goals (SDGs) number 8 concerning decent work and economic growth with target 8.2. The Bandung Government (DMPPSTP) provides a convenient solution for MSME activists in the city of Bandung in applying for business licenses through the GAMPIL (Gadget Mobile Application for License) application to make it easier for MSMEs to apply for business licenses, so that the economy continues to grow. and sustainable.This study analyzes the implementation of the GAMPIL application launched by the DMPSTP as a convenient solution for MSME activists in the city of Bandung in applying for business permits.The method used in this study is to use a mix method approach. The data was collected by distributing questionnaires to 101 MSME respondents in Bandung using GAMPIL, and interviewing 5 related sources. Based on the descriptive results, the variables performance expectancy, effort expectancy and price value are included in the very high category, while the facilitating condition and socialization variables are in the bottom two places with high categories for facilitating conditions and low for socialization variables. Variables that influence behavioral intention are price value, habit and perceived security and risks. The variables that influence usage behavior are facilitating condition and behavioral intention variables. As for the moderating variable, only the experience variable moderates behavioral intention towards usage behavior.

Explaining Policyholders’ Chatbot Acceptance with an Unified Technology Acceptance and Use of Technology-Based Model

Conversational robots powered by artificial intelligence (AI) are intensively implemented in the insurance industry. This paper aims to determine the current level of acceptance among consumers regarding the use of conversational robots for interacting with insurers and seeks to identify the factors that influence individuals’ behavioral intention to engage with chatbots. To explain behavioral intention, we tested a structural equation model based on the Unified Theory of Acceptance and Use of Technology (UTAUT) model. It was supposed that behavioral intention is influenced by performance expectancy, effort expectancy, social influence, and trust, and by the moderating effect of insurance literacy on performance expectancy and effort expectancy. The study reveals a significant overall rejection of robotic technology among respondents. The technology acceptance model tested demonstrates a strong ability to fit the data, explaining nearly 70% of the variance in behavioral intention. Social influence emerges as the most influential variable in explaining the intention to use conversational robots. Furthermore, effort expectancy and trust significantly impact behavioral intention in a positive manner. For chatbots to gain acceptance as a technology, it is crucial to enhance their usability, establish trust, and increase social acceptance among users.

Risk tolerance as a complementary concept to risk perception of natural hazards: A conceptual review and application.

There is a longstanding assumption that if people perceive a risk as high, they will act to reduce it. In fact, research has shown a lack of consistently strong causal relations between risk perception (RP) and mitigative behavior-the so-called "risk perception paradox." Despite a recent increase in research on RP, individuals' risk tolerance (RT; or demand for risk reduction) only rarely appears as a consideration for explaining behavioral response to natural hazards. To address this research gap, we first systematically review relevant literature and find that RT has been directly assessed or operationalized using perceived thresholds related to costs and benefits of risk reduction measures, risk consequences, hazard characteristics, behavioral responses, or affective reactions. It is either considered a component or a result of RP. We then use survey data of individuals' RP, RT, and behavioral intention to assess relations among these variables. Comparing across three European study sites, "behavioral intention" is assessed as the public's willingness to actively support the implementation of nature-based solutions to reduce disaster risk. A series of tests using regression models shows RT significantly explains variance in behavioral intention and significantly contributes additional explanatory power beyond RP in all three sites. In two sites, RT is also a significant partial mediator of the relation between RP and behavior. Taken together, our findings demand further conceptual and empirical research on individuals' RT and its systematic consideration as a determinant for (in)action in response to natural hazards.

Acceptability of fully guided virtual implant planning software among dental undergraduate students

BackgroundFully guided implant surgery as a technique is gaining popularity. It has been observed that use of surgical guides improves precision and predictability for dental implant placement. However, like any other newer technology, the acceptance of fully guided dental implant technology among users is based upon its perceived usability. This study aimed at evaluating the perception about using Virtual Implant Planning Software (VIPS) among undergraduate dental students at the university of Sharjah.MethodsNinety-Six dental surgery students from the University of Sharjah were included in the study. One week after the Virtual Implant Planning Software (Planmeca Romexis version 6.2 procedure, students were asked to complete a Combined technology acceptance model and the theory of planned behaviour (C-TAM TPB) questionnaire. Sixty-six students responded to the questionnaire.ResultsCronbach’s alpha surpassed 0.7 for perceived usefulness, perceived ease of use, perceived behavioral control, and subjective norm. Attitude and behavioural intention reported Cronbach’s alpha values less than 0.7. Spearman’s correlation coefficient was significant for all the constructs. Perceived ease of use explained 49%, 33%, and 42% of the variance of perceived usefulness (R2 = 0.49), attitude (R2 = 0.33), and perceived behavioral control (R2 = 0.42) respectively. Perceived usefulness explained 25%, 18%, and 23% of the variance of attitude (R2 = 0.25), behavioral intention (R2 = 0.18), and perceived behavioral control (R2 = 0.23) respectively. Attitude accounted for 25%, 33%, and 29% of the variance of behavioral intention (R2 = 0.25), perceived behavioral control (R = 0.33), and subjective norm (R = 0.29) respectively.ConclusionThe fully guided VIPS was acceptable by dental students specifically because of its usability. This makes VIPS a very effective tool for teaching implantology for dental students. VIPS also allows students to perform multiple repetitions of the implant planning procedure which enhances understanding and content retention.

Predictors of older people’s intention to engage in cycling violation behaviour with an integrative model

In China, bicycles are a popular mode of transportation for senior citizens. A disproportionate number of traffic-related fatalities and injuries involve cyclists. The violation of cycling laws is a significant cause of cyclist crashes. Few studies have analyzed the cycling violation behaviour of seniors. Therefore, it is essential to examine the factors that influence older individuals’ intention to engage in cycling violation behaviours. In this study, the effects of social-demographic characteristics, the exogenous constructs in the health belief model (HBM), and the theory of planned behaviour (TPB) on senior cyclists’ violation intention were investigated using hierarchical regression analysis. Interviews were conducted with older cyclists in urban areas of Wuhan City, all above 60 years of age. The results showed that very little variance in behavioural intention could be explained by social-demographic factors. The TPB has a significantly greater capacity than the HBM to explain variance in behavioural intention. Perceived susceptibility, perceived benefit, cues to action, subjective norm and attitude significantly impacted behavioural intention, whereas perceived severity, perceived barrier and self-efficacy did not.

Factors influencing user acceptance of weight management apps among Chinese obese individuals during the COVID-19 pandemic

BackgroundDuring the COVID-19 epidemic, the number of obesities increased rapidly in China. Weight management apps have potential value in controlling obesity. ObjectiveExplore the mechanisms behind the adoption of weight management applications by overweight and obese individuals, including psychological factors and demographic variables. MethodsThe theoretical model was extended from the technology acceptance model (TAM), and the structural equation model was used for hypothesis testing. From January 2020 to December 2021, we conducted a cross-sectional survey in six megacities in mainland China during the COVID-19 pandemic by an online questionnaire. Results1364 participants completed the questionnaire, and the proposed theoretical model explained 55.7% of the variance in behavioral intention. Perceived usefulness was predicted by perceived ease of use (β = 0. 290), attitude was jointly predicted by perceived usefulness (β = 0.118) and perceived ease of use (β = 0.159). Behavioral intention was predicted by perceived usefulness (β = 0. 256), perceived ease of use (β = 0. 463), attitude (β = 0. 293), and perceived risk (β = −0.136). Health awareness (β=0.016) did not significantly affect behavioral intention. Four demographic variables gender, age, education, and residence exerted significant moderating effects in theoretical model. ConclusionsDuring the COVID-19 epidemic, the health awareness and behavior patterns of obese people have changed significantly. Psychological factors and demographic characteristics dynamically interact to generate user behavioral intentions of weight management applications. Weight management application developers and marketers should focus on perceived usefulness, safety, ease of use, and health awareness.

Exploring chatbot trust: Antecedents and behavioural outcomes

An awareness about the antecedents and behavioural outcomes of trust in chatbots can enable service providers to design suitable marketing strategies. An online questionnaire was administered to users of four major banking chatbots (SBI Intelligent Assistant, HDFC Bank's Electronic Virtual Assistant, ICICI bank's iPal, and Axis Aha) in India. A total of 507 samples were received of which 435 were complete and subject to analysis to test the hypotheses. Based on the results, it is found that the hypothesised antecedents, except interface, design, and technology fear factors, could explain 38.6% of the variance in the banking chatbot trust. Further, in terms of behavioural outcomes chatbot trust could explain, 9.9% of the variance in customer attitude, 11.4% of the variance in behavioural intention, and 13.6% of the variance in user satisfaction. The study provides valuable insights for managers on how they can leverage chatbot trust to increase customer interaction with their brand. By proposing and testing a novel conceptual model and examining the factors that impact chatbot trust and its key outcomes, this study significantly contributes to the AI marketing literature.

The Roles of Trust and Its Antecedent Variables in Healthcare Consumers' Acceptance of Online Medical Consultation during the COVID-19 Pandemic in China.

Online medical consultation (OMC) is generating considerable interest among researchers and practitioners due to the mandatory quarantine measures implemented during the COVID-19 pandemic in China. However, the acceptance rate of OMC has declined over time. This paper aims to empirically investigate OMC acceptance using a proposed research model by integrating the technology acceptance model (TAM) with trust and its antecedent variables. A quantitative self-administered cross-sectional survey was conducted to collect data from 260 healthcare consumers. A partial least squares structural equation modeling method was used to examine the data. Results revealed that healthcare consumers' behavioral intention was influenced by attitudes, while perceived usefulness and trust significantly influenced behavioral intention through attitude as a mediator. In addition, perceived risk, perceived privacy protection, network externalities, cognitive reputation, and interactivity directly influenced trust. Overall, the research model explained 50% of the variance in attitude and 71% of the variance in behavioral intention. The study's findings should provide useful insights into making effective design, development, and implementation decisions for OMC services.

Determinants of Intention and COVID-19 Preventive Behaviors among the Urban Population: The Use of the Theory of Planned Behavior (TPB)

Background and Purpose: COVID-19 is a new viral disease that has led to a pandemic due to its high infectivity. Since many people do not have access to available vaccines, preventive behavior is the only way to fight the disease. Despite the great emphasis on preventive behaviors, many people do not follow them so the etiology of this issue seems necessary; hence, the present study aimed to determine the predictors of intention and COVID-19 preventive behaviors using the theory of planned behavior. Materials and Methods: The present study was descriptive-analytical and was conducted among individuals over 18 years of age living in Urmia. Samples were selected by snowball and convenience sampling. Data were collected using a valid and reliable electronic researcher-made questionnaire consisting of 4 sections (demographic characteristics, questions about knowledge, questions about constructs of the theory of planned behavior, and questions about COVID-19 preventive behaviors), and they were analyzed by descriptive and inferential statistical methods. Results: The results indicated a positive and statistically significant correlation between the COVID-19 preventive behaviors and constructs, namely the attitude (p < 0.001, r = 0.65), subjective norms (p < 0.001, r = 0.67), perceived behavioral control (p < 0.001, r = 0.72), and behavioral intention (p < 0.001, r = 0.76). Based on regression analyses, the constructs of the theory of planned behavior predicted a total of 65% of the variance of COVID-19 preventive behaviors and 73% of the variance of behavioral intention. Among the constructs, behavioral intention (p < 0.001, β = 0.393) was the strongest predictor of behavior, and perceived behavioral control (p < 0.001, β = 0.546) was the strongest predictor of behavioral intention. Conclusion: The research results indicated the efficiency of the theory of planned behavior in predicting COVID-19 preventive behaviors; hence, the theory and its effective constructs, especially behavioral intention, can be utilized in the development of educational programs and interventions to change the citizens' behavior towards COVID-19.

Influence of achievement goal on technology use among undergraduates in Malaysia

ABSTRACT Previous studies had identified the potential link between achievement goal and students’ technology use. However, the literature on this topic is extremely scarce. The purpose of this study was to investigate the antecedents to technology use among undergraduates via an extended Unified Theory of Acceptance and Use of Technology (UTAUT) model with achievement goal as an external variable. Data were collected from 599 undergraduates using a 38-item self-report questionnaire and analyzed using structural equation modeling. Results of this study showed that the extended UTAUT model had a good fit to the data of this study, with 35% of the variance in behavioral intention and 32% of the variance in use behavior explained by their antecedents. This study found that performance expectancy, effort expectancy, and achievement goal had significant influences on undergraduates’ technology behavioral intention to use technology, while social influence and facilitating conditions from the original UTAUT model did not. It was also found that achievement goal and behavioral intention were significant antecedents that influenced undergraduates’ technology use behavior. The findings of this study contribute to both theory, practice, and policy that enhance our understanding of students’ learning and technology use.

Analysis of Factors Affecting Use Behavior towards Mobile Payment Apps: A SEM Approach

The main aim of this research study is to examine the impact of five independent variables viz. performance expectancy, effort expectancy, social influence, facilitating conditions, and hedonic motivation on behavioral intention to use mobile payment apps. This study is further aimed at investigating the influence of behavioral intention on the use behavior of mobile payment app users. This study strives to investigate the use behavior of people who have already used mobile payment apps like Google Pay, PhonePe, and PayTM previously for making payments for the products and services they have purchased from various sellers. The researchers used the UTAUT2 theory to examine the relationship between the independent and dependent variables mentioned above. The data was collected from 618 mobile payment app users from Vidarbha, M.S., India. Availability sampling and purposive sampling techniques were adopted for the final selection of the respondents. A structured questionnaire was designed by the researchers for collecting the required primary data. The six proposed hypotheses were tested by using SMART-PLS 3.3.5 software. The results indicated support for all six proposed hypotheses. The proposed model explained a substantial amount of variance in behavioral intention ( R 2 = 71.8 % and R 2 = 76.5 %) in use behavior towards mobile payment apps explained by independent variables. Facilitating conditions exhibited the strongest effect on behavioral intention.