Behavioral Intention Factors Research Articles

The Impact Of Cashless Payments On Smes’ Financial Performance In Mount Lebanon

Cashless payments are one of the innovations playing a significant role in business strategy. However, in Lebanon, the economic and financial crisis has forced SMEs to primarily use cash as a mode of payment, leading to numerous issues affecting their financial performance. To overcome these challenges, companies are seeking to adopt cashless payments outside the banking sector to better control their finances and adapt to rapid technological advancements. This study aims to examine the impact of cashless payments on the financial performance of SMEs in Mount Lebanon, highlighting the factors affecting the adoption of this payment method. A survey was conducted with the leaders of 183 SMEs in the region, and the results of multiple regression analysis, carried out using SPSS software, confirmed the significant impact of electronic payments on the financial performance of SMEs in the region. Specifically, mobile money and E-transfer have a significant positive relationship with financial performance. Furthermore, the study identified that competition, risks, and ease of use are the behavioral intention factors that affect the adoption of cashless payments. Consequently, leaders must adjust their strategy by integrating cashless payments to improve their financial performance.

Citizen Adoption of E-Government Services: A Systematic Literature Review with Weight and Meta-Analysis

This study investigates the determinants influencing citizens' intentions to embrace and use e-government services in developing countries. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, known for their rigorous and systematic approach, are employed to examine the fundamental attributes, provide extensive descriptive statistics, synthesize the elements, use analytical tools, and present the results from the selected quantitative papers. A weighted meta-analysis was performed on forty-three quantitative research articles on e-government adoption, encompassing 401 relationships, and published in journals within the last ten years. All the participants are from the Asian and African continents. The findings suggest that perceived trust, perceived quality, performance expectancy, effort expectancy, social influence, self-efficacy, and facilitating conditions are the most crucial factors of behavioral intention via the mediation effects of attitude and perceived satisfaction. Furthermore, several demographic characteristics, such as age, gender, education, and experience with e-government services, moderate the association between the mediators and behavioral intention. Thus, we propose a new citizen-centric model named the Integrated Model of E-government Adoption (IMEGA), designed to address the current research gap and predict the extent to which citizens in developing countries would accept e-government services. This paper examines the implications of the findings for both theoretical frameworks and practical applications. Furthermore, the limits of the current study are acknowledged, and future research directions have been provided.

PEER TO PEER LENDING : GENERATION Z ATTRACTION FACTORS AND FUTURE IMPLICATIONS

This study is about the factors of behavioral intention to borrow from the perspective of Generation Z toward peer-to-peer lending. This study applied primary data by collecting surveys distributed to Gen Z on Java Island. The sample used was 44 male respondents and 110 female respondents. Factors that influence borrowing intention were tested with SEM PLS 4.0. The research shows that the variables of utilitarian value, risk perception, and financial literacy are significant to the behavioral intention of Peer To Peer Lending. In addition, the findings show that the variables of convenience and safety do not determine behavioral intention in Peer To Peer Lending. This research also explores how financial technology, such as peer-to-peer lending, can facilitate Generation Z's access to finance. The implications of this research highlight the importance of financial knowledge and planning for Gen Z for its future. These findings provide insights for fintech companies to design products and services that suit Generation Z's specific preferences and needs. The target market for peer-to-peer lending companies needs to be adjusted in their marketing strategies.

Determining Factors of Behavioral Intention to use Digital Payment QRIS at Traditional Market in Purwokerto

Aims: This research aims to identify variables that are determinants or factors that influence behavioral intentions to use QRIS (Quick Response Code Indonesian Standard) in the Purwokerto traditional market.
 Study Design: The research population is the people of Purwokerto who transact in traditional markets. The sampling method uses accidental sampling and the sample size in this study was 100 respondence. Data was collected by distributing questionnaires both online and in person.
 Methodology: The study used the SPPS 26 vertion analysis tool. The analytical method uses multiple linear regression analysis.
 Results: The results of the analysis that performance expectations, social influence, and facilitating conditions variables have a significance effect on behavioral intention to use digital payment QRIS, while variable effort expectations have no significantly affect on behavioral intention to use digital payment QRIS.

ADOPTION OF MOBILE PAYMENT ON QRIS SERVICES IN INDONESIAN

The rapid evolution of mobile technology and the increasing proliferation of smartphones has provided a great opportunity for innovative companies to create new payment solutions and offer value-added services to their customers. QRIS mobile payments have emerged as a real phenomenon that allows consumers to turn their smartphones into digital wallets. Despite much coverage of consumer acceptance of mobile payments, little research provides guidance for interpreting QRIS-based payments. mobile payment adoption.By considering the theoretical background of innovation diffusion and the specific characteristics of QRIS mobile payments, this study proposes a research framework to provide an in-depth understanding of the factors that facilitate or hinder the adoption of QRIS-based mobile payments among Indonesian consumers. This article can advance the literature on innovation adoption and support technology marketers in QRIS mobile payments. This article provides useful guidelines to help researchers investigate issues related to QRIS mobile payments. This article also carries certain regulatory implications in assisting stakeholders in the QRIS mobile payments ecosystem such as SMEs, banking decision makers and merchants, in developing their business strategies and marketing campaigns to facilitate QRIS mobile payments. The test results directly show that the intention to adopt QRIS mobile payments is influenced by behavioral intention factors, product-related factors and alternative attractiveness. The results of indirect testing using behavioral intentions as a moderating variable found that behavioral intentions did not significantly influence individual factors, product factors, environmental factors and alternative resources.

The Moderating Role of Generation Differences Determinant Factors of Sustainable Apparel Behavior Intention

The Moderating Role of Generation Differences Determinant Factors of Sustainable Apparel Behavior Intention

Factors influencing Art consumption's behavior intention: A study from China

Art consumption's behavioral intention analysis is one of the core links of art consumption's behavioral analysis. The influencing factors of art consumption's behavior intention and their relationship explain the mechanism of art consumption's behavior intention, and the relevant research results can lay a good foundation for the in-depth study of art consumption's behavior theory. This quantitative paper found out that it is of great theoretical and practical significance to study art consumption's theory on the formation mechanism of behavioral intention. The innovation of this paper mainly includes the following two aspects. Firstly, the concept of art consumption's behavioral intention is defined, and its characteristics are analyzed. The second is to construct a model of art consumption's behavioral intention.

A84: Factors Influencing Parents' Intention to Involve Autistic Preschoolers in Outdoor Physical Activities

Purpose: Outdoor physical activities (OPA) can not only improve the physical fitness and health of autistic preschool children, but also provide an indispensable opportunity for their social learning and interaction. However, parents’ intentions of providing OPA for their autistic children are complex due to reasons such as potential risk. Theory of Planned Behavior（TPB）has conceptualized that attitude (AT), subjective norms (SN), and perceived behavioral control (PBC) are influential factors of behavioral intention. Perceived risk and perceived usefulness are suggested to associate with one’s intention, therefore, the purpose of this study was to test an extended TPB model on parent’s intention of providing OPA among parents of autistic children. Methods: This was a cross-sectional study. A convenient sample of parents of 301 autistic preschoolers (mean age = 3.45±1.10 years old; boys=219; girls = 68) were recruited. Parents reported to questionnaires assessing their AT, SN, PBC, and intention (Ajzen, 1991; Yang, 2017) as well as perceived risk and perceived usefulness of providing OPA for their autistic children (Davis et al., 1989; Yu, 2016). Structural Equation Modeling (SEM) using SmartPLS software was employed to investigate the extended TPB model by including perceived risk and perceived usefulness (exogenous variables) with AT, SN, PBC to synergistically predict intention (endogenous variable). Results: The results revealed that autistic preschooler parents’ perceived usefulness (p < 0.01, f2= 0.087）had a significant and positive prediction on intention in addition to the significant contributions from AT (p < 0.01, f2=0.053), SN (p < 0.01, f2=0.047), and PBC (p < 0.01, f2=0.060). However, perceived risk (p < 0.01, f2= 0.070) had a significant and negative prediction on intention. Besides, perceived usefulness (p < 0.01, f2= 0.108) was positively correlated with AT and AT partially mediated the association between perceived usefulness and intention (Variance Accounted For= 23.2%). In general, perceived usefulness, PBC, AT, SN and perceived risk had a high explanatory power to intention (R2=0.536). Conclusion: The extended TPB model demonstrated to be a useful framework to explain autistic preschooler parents’ intention of providing OPA for their autistic children. Perceived risk and perceived usefulness are critical to parents’ intention in addition to PBC, AT and SN, which should also be the targets of intervention in practice. This finding also suggests practitioners may help parents’ understand the usefulness of OPA to help autistic preschoolers’ parents form positive attitude of OPA, then boosting their intention to engage their autistic children in OPA.

Determining Factors of E-Wallet Use Behavioral Intention: Application and Extension of The UTAUT Model

Technological developments are changing society's transaction patterns, both individual and corporate. Technology also has an important role with the emergence of new innovations in the financial sector which periodically replace the role of cash as a transaction tool with digital financial transactions. Digital financial transactions are increasingly in demand in the financial sector and have high potential to replace cash and become the most effective way to complete transactions quickly. Currently, the use of e-wallets based on non-cash transactions is growing due to the ease and practicality of transactions (starting from simple, time efficient, lots of promos offered, no need to go to the bank, and safe) offered by digital wallet service providers. This research aims to look at determining factors of e-wallet use behavioral intention: application and extension of the UTAUT model. The objects of this research were e-wallet service users in the city of Padang with a sample of 210 people. The sampling technique uses a nonprobability sampling method with a purposive sampling technique. The independent variables in this research are effort expectancy, perceived enjoyment, performance expectancy, then the dependent variable behavioral intention and the mediating variable satisfaction. The analysis method used is Partial Least Square (PLS). The research results found that effort expectancy has a positive and significant effect on behavioral intention. Performance expectancy Negative has no significant effect on behavioral intention. Effort expectancy has a positive and significant effect on satisfaction. Perceived enjoyment has a positive and significant effect on satisfaction. Performance expectancy Positive has no significant effect on satisfaction. Satisfaction has a positive and significant effect on behavioral intention. Perceived enjoyment has a positive and significant effect on effort expectancy. Perceived enjoyment has a positive and significant effect on performance expectancy. Effort expectancy has a positive and significant effect on behavioral intention with satisfaction as an intervening variable. Performance expectancy Positive has no significant effect on behavioral intention with satisfaction as an intervening variable

Behavior Analysis and Clustering of Consumers Towards Halal Awareness

Due to Indonesia's large Muslim population, the issue of halal is contentious for Indonesians, and many restaurants in Indonesia do not have halal certification. This study investigates the various factors that influence customer behavior and identifies managerially implementable consumer clusters. This study used a quantitative methodology, focusing on a sample of consumers residing in the Greater Jakarta area. Lemeshow sampling was used to gather data from 196 respondents via an online survey. The analysis technique consisted of Structural Equation Modeling (SEM)-Partial Least Square and cluster analysis using the K-means algorithm with the Waikato Environment for Knowledge Analysis (WEKA). Subjective norms, perceived behavioral control, halal awareness, and intention factors have been proven to have positive and significant effects on consumer behavior when choosing a halal restaurant. The findings on consumer clusters that have evolved provide significant managerial implications. Assistance is required from halal institutions, businesses, and consumers with a high level of halal awareness to raise their awareness of halal.

Investigating the moderating effects of social good and confidence on teachers' intention to prepare school students for artificial intelligence education

Artificial Intelligence (AI) has triggered profound reforms across industries, including education. These developments necessitate the inclusion of AI as a subject in K-12 classrooms. However, the need for students to learn AI demands that educators pay increasing attention, believe in its relevance and intend to promote it among their students and colleagues. This paper aimed to explore teachers' perceptions of and behavioral intention to teach AI. We specifically considered the association of AI anxiety, perceived usefulness, attitude towards AI, AI relevance, AI readiness, and behavioral intention factors. This research further aims to examine the moderator effect of AI for social good and confidence on the relationship in our hypothesized research model. To address this purpose, a quantitative methodology with the use of structural equation modeling was utilized. Data were retrieved through an online questionnaire from 320 lower and upper secondary school in-service teachers, mostly in STEM-related fields. Our findings reveal that teacher perceptions of AI for social good and confidence will affect most relationships in the model. Teacher professional programs should include the benefits and risks of AI and good practice sharing.

Revolutionizing Food Waste Reduction: Indonesia's Gen Z Entrepreneurs' Innovative Business Ideas

The aim of the study was to describe Indonesia Gen Z's (people born in the late 1990s to the early 2010s) intention towards waste business management. This study was an extension of the previous research model by Huang et al. (2022), which examined the influencing factors of behavioral intention leading to sorting and recycling behaviors among youth. In order to provide empirical evidence from a developing country, the study used measurement instruments from Huang et al. (2022) and looked specifically at Indonesia, as the original research was conducted in developed countries (China and Finland). The research study was based on a qualitative approach, with active students from Indonesia International Institute for Life Sciences (i3L) as participants. The i3L has two main schools from life sciences and business school, which provided a good combination of students from a life sciences background and those studying business management, to create the Business Model Canvas (BMC) to reduce food waste.

Behavioral Intention and Adoption of Digital Bank Mobile Application Among Housewives Using Mixed Method Approach

This mixed-method research using PLS-SEM and fsQCA analysis aims to identify the factors that influence the behavioral intention of Indonesian housewives to adopt digital banking applications, particularly by examining the UTAUT2 model's variables. The study found that facilitating conditions, price values, and habits are significant factors that affect the behavioral intention of housewives to use digital banks. Furthermore, the study suggests that paying attention to the factors of effort expectancy, social influence, facilitating conditions, and habits simultaneously is the most effective approach to generating behavioral intention factors in digital bank adoption. The findings have important implications for digital bank companies, the government, financial institutions, and fintech startups. Future research should strive to obtain a more even distribution of respondents from different regions in Indonesia to reduce bias and obtain results that truly represent the conditions of housewives in Indonesia as a whole. 

Levels of Madrasati (M) LMS utilization among teachers

Performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions (FC), attitudes, competence, and behavioral intention are all linked to poor Madrasati (M) utilization and acceptance among teachers. This study aims to examine the extent to which teachers are using M LMS. The impact of these parameters on M LMS usage was quantified using a survey method. Out of the 13,782 people, 374 teachers who use Madrasati in public schools were sampled. This study revealed that levels of M LMS utilization among teachers in schools were significantly affected by PE, EE, SI, FC, competence to use M, and behavioral intention factors. However, teachers’ attitudes have an insignificant effect on M LMS utilization. This finding suggests that the success of M utilization in public schools is not dependent on the attitudes of teachers toward its use. This study examined factors influencing the extent of Madrasati adoption and utilization among teachers. Keywords: Levels; LMS; Madrasati; UTAUT factors; Teachers

Virtual healthcare in the new normal: Indian healthcare consumers adoption of electronic government telemedicine service

Digital healthcare is in the spotlight due to the prevailing COVID-19 situation. To get the deeper understanding of the healthcare consumers' adoption of e-government telemedicine service (EGTMS), the present research extends the unified model of e-government adoption (UMEGA) with perceived severity, self-efficacy, and political trust. The extended UMEGA model is empirically validated with 452 valid Indian healthcare consumers' responses. The findings reported that performance expectancy, perceived severity, effort expectancy, and perceived risk significantly influenced Indian healthcare consumers' attitudes towards EGTMS. Further political trust showed significant influence over social influence. However, social influence is observed as non-significant. Furthermore, attitude, political trust and facilitating conditions significantly influenced individuals' behavioral intentions towards EGTMS and observed significant influence of self-efficacy on effort expectancy. This is the first study that reveals the critical factors of Indian healthcare consumers' behavioral intention towards EGTMS. With the upsurge in e-government healthcare services, the outcomes of the study will benefit stakeholders such as governmental agencies, marketers, public administrators, and healthcare professionals as they provide suitable strategic recommendations to design and implement e-government telemedicine services.

Curiosity on Cutting-Edge Technology via Theory of Planned Behavior and Diffusion of Innovation Theory

Despite the growing importance of cutting-edge technologies, little is still known about the effects of psychological and technical factors on these technologies as associated with consumers’ behavioral intentions. Drawing on diffusion of innovation theory (DOI) and theory of planned behavior (TPB), this study investigates the effect of perceived behavioral control, complexity, and compatibility on attitude towards using a smartwatch and behavioral intention. The present study also examines the mediation effect of consumer attitude between the psychological and technical factors of smartwatches and behavioral intention. We have gathered data from 291 actual smartwatch users. Partial-Least-Squares Structural Equation Modelling and Importance-Performance Analysis (IMPA) were used to analyze the data. The results reveal that both psychological and technical attributes play a key role in affecting consumers’ behavioral intention, in which attitude mediates this relationship. Moreover, among the predictor variables, compatibility is most significant in terms of explaining behavioral intention to use smartwatches, whereas curiosity and complexity have the highest performance index.

Research on Influencing Factors of Distance Learning Behavior Intention in Virtual Experimental Environment

In distance education, virtual labs conduct a paramount role in the construction and development of practical engineering majors. In turn, the behavioral intention of distance learners’ willingness to use it determines whether virtual labs can be well used and promoted. For the sake of deeply understanding the factors which may exert certain influence on behavioral intention, this paper constructed a model of factors affecting behavioral intention of distance learning in virtual lab environment on the Unified Theory of Acceptance and Use of Technology (UTAUT), and conducted an empirical investigation study on 425 learners. As conspicuously revealed by the research findings, effort expectation, performance expectation, community influence, concrete experience, abstract conceptualization, active practice, and interactivity of the experimental platform can impose positive effects on learners’ intention to use the virtual experimental platform. Aside from that, both reflective observation and imagination cannot remarkably affect behavioral intention. What’s more, concrete experience has the most noticeable effect on behavioral intention.

Assessing the impacts of local intention on community-based wildlife ecotourism in Tangkahan, Gunung Leuser National Park (GLNP) and the development strategy in the post- COVID-19 outbreak

Theory of Planned Behavior (TPB) has been implemented to evaluate the structure of behavioral change of the local communities in the forest and wildlife conservation program in Tangkahan, the eastern part of GLNP. This study has the purpose to reveal the determinant factors of local community behavior to support forest and wildlife conservation through ecotourism activities and to formulate a strategy to recover wildlife ecotourism in the post-COVID-19 outbreak. The study was conducted in Tangkahan through a survey method to collect the data. The data were analyzed using linear regression analysis. This study found that the determinant factors of behavioral intention are the conservation attitude and perceived behavioral control and behavioral intention significantly affects the behavior to participate in conservation activities. To improve the visiting number and the ecotourism service in Tangkahan in the post-COVID 19 outbreak, the community should transform and develop the management system from a conventional to virtual/digital method, develop and follow the COVID-19 protocol of ecotourism, re-arrange the ticket fee and the tour packages to cope with domestic visitors and improve the access to the area by constructing the roads and provision of transportation services.

The Impact of COVID-19 on Motivation, Involvement, and Behavior of Cyclists in Taiwan.

Coronavirus disease (COVID-19) has spread all over the world and has impacted tourism globally, with countries taking various measures such as travel restrictions, border closures, lockdowns, or quarantines to contain the virus. Tourists' motivation has also been affected by COVID-19, but so far, the literature has not yet discussed their concern over COVID-19 as well as the relationships among their motivation, involvement, and behavior intention. Therefore, this study fills the gap in the literature by taking cycling tourism as an example to understand the involvement of tourists concerning COVID-19 and presents the depth and breadth of its effects upon tourism. Due to the challenge of face-to-face, on-site investigation, we employ an online survey for data collection, use exploratory factor analysis to extract the main factors of motivation, involvement, and behavior intention, and set up a structural equation model to examine the relationships among the three factors. The results show that COVID-19 has positively and significantly affected motivation and involvement. Motivation positively and significantly affects involvement, and involvement affects motivation and behavior intention. The main finding herein is that motivation does not affect behavior, but involvement does mediate between the motivation and behavior of cyclists during COVID-19. Therefore, people may perceive the risk of health and wellbeing through such involvement.

Application and extension of the UTAUT2 model for determining behavioral intention factors in use of the artificial intelligence virtual assistants.

Virtual Assistants, also known as conversational artificial intelligence, are transforming the reality around us. These virtual assistants have challenged our daily lives by assisting us in the different dimensions of our lives, such as health, entertainment, home, and education, among others. The main purpose of this study is to develop and empirically test a model to predict factors that affect users' behavioral intentions when they use intelligent virtual assistants. As a theoretical basis for investigating behavioral intention of using virtual assistants from the consumers' perspective, researchers employed the extended Unified Theory of Acceptance and Use of Technology (UTAUT2). For this research paper, seven variables were analyzed: performance expectancy, effort expectancy, facilitating conditions, social influence, hedonic motivation, habit, and price/value. In order to improve consumer behavior prediction, three additional factors were included in the study: perceived privacy risk, trust, and personal innovativeness. Researchers carried out an online survey with 304 responses. The obtained sample was analyzed with Structural Equation Modeling (SEM) through IBM SPSS V. 27.0 and AMOS V 27.0. The main study results reveal that factors, such as habit, trust, and personal innovation, have a significant impact on the adoption of virtual assistants. However, on the other side, performance expectancy, effort expectancy, facilitating conditions, social influence, hedonic motivation, price/value, and perceived privacy risk were not significant factors in the users' intention to adopt this service. This research paper examines the effect of personal innovation, security, and trust variables in relation to the use of virtual assistants. It contributes to a more holistic understanding of the adoption of these intelligent devices and tries to fill the knowledge gap on this topic, as it is an emerging technology. This investigation also provides relevant information on how to successfully implement these technologies.