Behavioral Intention Research Articles

Customer perspectives on reputable and accountable Islamic finance: a behavioural intention model with a meta-analysis SEM approach

Purpose This research aims to analyses the structural model of customers’ intention towards reputable and accountable Islamic finance, explained through Meta-Analysis Structural Equation Modelling (MASEM) with the Theory of Planned Behaviour approach and extended variables. Design/methodology/approach This study used MASEM to examine the factors systematically influencing behavioural intentions within Islamic finance. By synthesising 89 existing studies, the study identified key variables and their relationships, providing a comprehensive understanding of the underlying mechanisms. A rigorous methodology involving article selection, data extraction and statistical analysis enabled the development of a robust conceptual framework. Findings This study underscores the significant impact of subjective norms and perceived behavioural control on the intention to adopt Islamic finance, mediated by customer attitude. Religiosity, customer awareness and knowledge influence the intention to adopt Islamic finance products, with the Islamic financial institution's reputation and customer attitude serving as mediating variables. Originality/value This research novelty examines Islamic finance accounting, reporting and financial accountability, primarily focusing on customers’ perceived intentions towards Islamic financial practices.

Engaging tourists through destination social responsibility: the moderating role of self-congruence

Purpose Engaging tourists with a destination brand can offer innumerable benefits. Based on stakeholder and social exchange theories, this study aims to comprehend destination social responsibility’s (DSR) role in inducing destination brand engagement (DBE) and favorable behavioral intentions, i.e. destination advocacy and revisit intentions. Further, the study examines self-congruence as a boundary condition to DSR’s impact on DBE. Design/methodology/approach Data were collected through an online survey of individuals in India and analyzed using structural equation modeling. Findings Findings highlight the importance of stakeholder and social exchange theories for socially responsible destinations by establishing a link between DSR and DBE, which adds to scholarship and holds practical relevance. Results confirm the moderating effects of self-congruence. Research limitations/implications The study did not assume the variation of tourists based on their characteristics and types while examining the moderation effects. Originality/value Research adds value by establishing the importance of DSR in engaging tourists with a destination. Furthermore, the study demonstrates how engaged tourists can showcase favorable responses toward the destination.

FACTORS INFLUENCING SOCIAL COMMERCE ADOPTION : A TOE FRAMEWORK ANALYSIS

The increasing use of social media has led to a new business trend called social commerce. This study investigates the factors that influence the adoption of social commerce in Solo Raya SMEs using the technology, organizational, and environment (TOE) model. This research is a quantitative research using primary data. Data collection techniques use questionnaires via Google Form. The population of this research is SMEs in Solo Raya that have used social commerce technology. The sampling technique in this study used purposive sampling technique with a sample size of 132 respondents. The data analysis technique in this study uses structure equation modeling partial least square (SEM - PLS) with the help of smartPLS 3.0 software. The results of this study indicate that perceived usefulness, security concerns, top management support, organizational readiness, consumer pressure, and trading partner pressure have a positive effect on the behavioral intention of social commerce adoption. These findings can help SMEs in utilizing digital technology to increase their competitiveness in today's digital era.

Leveraging AI-enhanced and emerging technologies for pedagogical innovations in higher education

AbstractThis study examines the influence of AI-powered and emerging technologies on pedagogical practices in higher education, focusing on their role on behavioural intention (BI) and actual usage among educators and students. The research hypothesises that the relationship between each Unified Theory of Acceptance and Use of Technology (UTAUT) constructs - Performance Expectancy (PE), Effort Expectancy (EE), Social Influence (SI), and Facilitating Conditions (FC) - and BI to use AI is mediated by Attitude towards AI. Additionally, it explores the mediation of the relationship between Technological, Organisational, and Environmental (TOE) framework and BI to use AI by Attitude towards AI. Furthermore, it hypothesises that the relationship between UTAUT constructs, and the actual Usage of AI is mediated by BI. Data were collected from 115 respondents through a survey measuring perceptions of UTAUT and technology-organisation-Environment (TOE) constructs. Partial Least Squares Structural Equation Modeling (PLS-SEM) was employed to analyse the data, alongside PLS-Multi-Group Analysis (PLS-MGA) to explore gender differences. The key results indicated that PE and EE significantly influenced Attitude towards AI (F = 14.861 and F = 33.887, respectively), which in turn significantly influenced BI (β = 0.468, t = 5.106). However, SI had an insignificant effect (F = 0.346), and FC had a minimal influence (F = 2.225). The study found that Organisational Context played a significant role in shaping Attitude towards AI, influencing BI, whereas the direct influence of TOE on BI was not significant (F = 1.356), indicating full mediation by Attitude. Additionally, higher BI did not necessarily translate to increased AI usage (β = -0.381, t = 4.749), suggesting external barriers or moderating factors. These findings provide valuable insights for developing strategies to enhance AI-driven pedagogical innovations, emphasising the importance of fostering positive attitudes and addressing practical challenges in AI adoption.

People update their injunctive norm and moral beliefs after receiving descriptive norm information.

How do descriptive norms shape injunctive norm beliefs, and what does this tell us about the cognitive processes underlying social norm cognition? Across six studies (N = 2,671), we examined whether people update their injunctive norm beliefs-as well as their moral judgments and behavioral intentions-after receiving descriptive norm information about how common (or uncommon) a behavior is. Specifically, we manipulated the descriptive normativity of behaviors, describing behaviors as uncommon (20% of people were doing the behavior) or common (80% of people were doing the behavior), and the type of behavior across studies (fairness, conventional, harm, preference). To measure belief updating, we assessed beliefs prior to and after receiving information about the descriptive norm. We had three main findings: First, participants positively updated their prior injunctive norm beliefs, moral judgments, and behavioral intentions (i.e., rated behaviors more injunctively normative and moral) after receiving a common descriptive norm and negatively updated their beliefs (i.e., rated behaviors less injunctive and moral) after receiving an uncommon descriptive norm, and updated to a larger extent for the common than uncommon descriptive norm. Second, participants were more likely to update their beliefs about what is moral for others compared to what is moral for the self. Third, participants updated their beliefs to a greater extent for fairness and conventional behaviors compared to harm behaviors and preferences. Together, our findings suggest that descriptive norms shape our injunctive norm beliefs and moral judgments and help to paint a fuller picture of the social cognition of social norms. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Understanding Digital Technology Integration in Merchant Marine College: Examining Teacher Digital Competency through TAM Framework

This study examines the relationship between teacher digital competency and technology adoption in maritime vocational education institutions. The research aims to investigate how digital competency influences perceived usefulness, perceived ease of use, behavioral intention, and actual technology use among maritime educators. Using the Technology Acceptance Model (TAM) framework, the study explores the interconnected relationships between these variables in a specialized educational context. Data collection involved an online survey of lecturers and instructors from maritime vocational colleges under the Ministry of Transportation. The study employed structural equation modeling (SEM) using AMOS software for analysis, providing a comprehensive examination of the relationships between variables. Results reveal significant positive relationships between teacher digital competency and technology adoption factors. The findings demonstrate that digital competency strongly influences both perceived usefulness and ease of use of technology, which in turn affects behavioral intention and actual technology implementation. The research contributes to understanding technology adoption in maritime vocational education and provides practical implications for institutions developing digital competency programs. The study suggests that successful technology integration depends on both technical competency development and positive perceptions of technology's utility, supported by adequate institutional infrastructure.

Prenatal representations link pregnancy intention to observed caregiving

ABSTRACT Aims/Background Children from unintended pregnancies are at an increased risk of experiencing less positive parenting practices as well as abuse and neglect. Thus, identifying factors that may explain the association between pregnancy intention and caregiving behaviours is critical, as well as identifying if these associations can be assessed during pregnancy. Design/Methods In a sample of 297 pregnant people (Mage = 31.17, SD = 4.89; gestational age range 9.71–35.14, M = 23.55, SD = 5.54) and, later, their 6-month-old infants, this prospective study examined the degree to which two facets (i.e. acceptance and richness of perceptions of the child and their role in being a parent for that child) of caregivers’ prenatal mental representations of the child explained the association between pregnancy intention and the caregiver behaviour observed during caregiver – child interactions in infancy. Results Results indicated that caregiver–child interactions following pregnancies that were intended, relative to those non-intended, were rated as higher in caregiving sensitivity and warmth. These relations were explained, in part, by a greater richness of perceptions, but not through acceptance. Conclusion Findings suggest richness of perceptions as a potential target for exploration in interventions to support pregnant people who were not intending to become pregnant as a means to promote positive caregiver – child relationships.

Personal Innovation, Optimism, Electronic Word of Mouth, and Perceived Factors Affect the Behavioral Intention to Adopt QR Code Payments

Abstract QR (Quick Response) code payment is a very popular form of payment worldwide and brings many benefits to users. The purpose of this study is to explore, measure, and analyze the factors involving the intention to use QR code payments. The research probability uses sampling method to survey 2,500 customers and get 1,473 valid responses. The authors used Stata-14 software to analyze the reliability of the measurement scale through Cronbach’s Alpha coefficient, conduct confirmatory factor analysis (CFA), and use a structural equation model (SEM) to test the research hypotheses. The results show that the factors that affect behavioral intention are optimistic, perceived usefulness, perceived ease of use, personal innovation, electronic word-of-mouth, perceived transaction convenience, and perceived ease of use transaction speed. Therefore, businesses can refer to these factors to determine the best payment method. The study also proposes some practical recommendations and research directions for managers and marketers.

Decoding derogation: The impact of environmental values and political ideology on the effect of persuasive message about recycle and reuse behaviors.

Although persuasive messages are designed to motivate individuals to engage in intended behaviors, they do not always work. Often, people follow previously established values and ideologies and dismiss persuasive messages. We examine how participants react to a persuasive message related to plastic pollution and how these reactions shape their willingness to recycle and reuse. Results indicate that environmental values and political ideology are associated with message derogation in distinct ways, which, in turn, affect risk perception, self-efficacy, and intention to recycle and reuse. Further, past behavior moderates the relationship between message derogation and perceived risk, but not the relationship between message derogation and self-efficacy. These results suggest that pre-existing values and ideologies play an important role in message derogation, a hitherto under-researched phenomenon that has key implications for self-reported behavioral change. Moreover, past behavior could serve as a powerful lever in steering risk perception and behavioral intent.

Consumer Acceptance of Central Bank Digital Currency in a Fully Launched Market

Since 2020 the number of countries and currency unions exploring the implementation of central bank digital currency (CBDC) has increased by approximately 300 percent. The literature shows an abundance of technical feasibility studies and a dearth of research on consumer adoption. This study investigates consumer adoption of CBDC in a market (Jamaica) in which it was already launched. Data was collected from 200 respondents based on a convenience sample. A conceptual model was constructed based on the unified theory of acceptance and use of technology. To validate the model and test the six hypotheses we employed PLS-SEM partial least squares structural equation modeling. Three of the six hypotheses were supported: behavioral intention has a significant positive impact on user behavior, social influence had a significant positive impact on behavioral intention, and facilitating conditions has a significant positive impact on user behavior. Age and gender had no moderating effect. This is the first study done in a market where CBDC was implemented, done on consumers and provided jurisdictional recommendation to create network effects and increase adoption

Effects of disability employment on guest perceptions and behavioral intentions in the hotel sector

This study investigates the influence of employing persons with disabilities (PWD) in hotels on consumer behavior, with an emphasis on word of mouth and repurchase intention. The research delves into the underlying mechanisms behind these effects and examines potential boundary conditions using hotel characteristics. Utilizing two between-subject design experiments, 1443 responses were analyzed using the propensity score weighting scheme and multigroup analysis. Results reveal that PWD employment in the hotel industry has a positive impact on word of mouth and repurchase intention through the moral decision-making process, specifically progressing from moral judgement to moral obligation, and perceived corporate social responsibility (CSR). These effects remain consistent across different hotel star ratings and whether chain or independent. The findings enhance the literature on equality, diversity and inclusion by identifying the underlying mechanism of how hotel guests respond to PWD employment in the hotel industry, drawing insights from moral psychology and perceived CSR.

Immersive Virtual Reality: A Novel Approach to Second Language Vocabulary Acquisition in K-12 Education

Today, immersive virtual reality (IVR) is increasing in popularity in a broad range of fields, including science, pedagogy, engineering and so forth. Therefore, this study discusses the Unified Theory of Acceptance and Use of Technology (UTAUT), which can be used to examine the factors that influence the adoption of immersive VR in the classroom, particularly in second language (L2) vocabulary acquisition. The sample for this study included 32 intermediate students and their teacher. For the purpose of evaluation, the researcher used partial least squares structural equation modelling (PLS-SEM) techniques to analyze the results. The findings of the students’ survey showed that performance expectancy, effort expectancy and social influence were seen to have had a positive impact on the intention to use immersive VR. Likewise, the findings indicated that facilitating conditions were seen to have had a positive impact on the use behavior of actually using immersive VR, whereas behavioral intentions did not. In addition, the teacher’s survey demonstrated a favorable view regarding the potential of immersive VR technology to support teaching L2 vocabulary acquisition. This particular study encouraged educators and educational technologists to utilize immersive VR games as a teaching–learning tool to reduce the challenge of L2 vocabulary acquisition.

Homelessness in Virtual Reality: Experiencing Social Exclusion Improves Attitudes and Behaviors Toward Unhoused People.

Virtual reality (VR) interventions are receiving increasing attention from research seeking to promote harmonious intergroup relations. Despite this, the effectiveness of VR methods and the underlying mechanisms for enhancing intergroup relations yield mixed findings. The current research examined if a 360° immersive video where participants embodied an unhoused person could improve attitudes and behavioral intentions toward unhoused people by making participants experience social exclusion and its psychological repercussions. The study (N = 210) adopted a 2 × 2 between-subject design where participants were assigned to embody an unhoused or housed person either watching the video in VR (in 3D using head-mounted devices) or in 2D (on a monitor). The study included a followup after 9 days. Results revealed that embodying the unhoused person (vs. housed control) led to increased experiences of social exclusion, need-threat, and negative emotions. These experiences, in turn, were associated with reduced negative attitudes toward unhoused individuals and heightened intentions to engage in charitable behaviors. Notably, the effects on attitudes and behavioral intentions persisted at the followup, with a stronger impact observed for participants who embodied the unhoused person in 3D compared to 2D. The findings suggest that tailoring VR video interventions to elicit social exclusion by embodying the perspective of marginalized social groups can enhance intergroup attitudes and intentions over time. Overall, this research underscores the prominence of VR-based interventions in improving intergroup harmony compared to less-immersive paradigms.

The Effects of Climate Change Meta-Knowledge on Selective Exposure, Selective Elaboration, and Behavioral Intentions

This experiment investigates how individuals’ meta-knowledge (the self-perception of one’s knowledge) influences selective exposure to and elaboration of information about climate change with climate change self-schema as possible mediator. Participants’ ( N = 510) meta-knowledge was manipulated by receiving fake feedback after a climate change knowledge test. There were no group differences in selective exposure and selective elaboration. Correlational evidence tentatively speaks for a “rich-get-richer” process of information selection and elaboration. This could be explained through climate change self-schemas which differed significantly between conditions ( d = 0.26) and correlated positively with selective exposure ( r = .36) and elaboration ( r = .28).

The Frontier Areas’ Student Acceptance of Physics Fun-based Mobile Application: Incorporating the Process-Oriented Guided-Inquiry Learning (POGIL) Strategy

The acceptability of technology is an essential factor to consider, particularly in frontier areas that encounter challenges related to availability and limited educational resources. This study aims to evaluate the acceptance of physics learning tools in a virtual laboratory (V-Lab) platform, utilizing the POGIL strategy, referred to as the Physics Fun-based mobile application. Mobile learning refers to the learning process carried out through mobile devices such as smartphones. The implementation took place at a senior high school located in West Papua Province, one of Indonesia's frontier areas, with 136 students participating. The Technology Acceptance Model (TAM) and Theory of Reasoned Action (TRA) were employed in this quantitative study. Structural Equation Modeling (SEM) was implemented for data analysis. The findings indicated that Attitude (ATT) and Behavioral Intention (BI) were significantly influenced by Perceived Ease of Use (PEU) and Subjective Norm (SN), respectively, while Perceived Usefulness (PU) did not have a direct effect on ATT. As a result, to enhance the acceptance of technology, teachers and technology developers should prioritize enhancing ease of use and reinforcing social factors. This should be done with a particular emphasis on the social benefits and simple accessibility of technology in the learning process, particularly in frontier areas.

The Effect of Travel Constraints on Travel Intentions of People with Disabilities: The Mediating Role of Travel Motivation

According to WHO, 16% of the world's population are people with disabilities. Given this high number, disability-friendly tourism can be utilized as a special tourism market. This study aims to analyze the effect of travel constraints on travel intention through travel motivation for people with disabilities in Bandung. Over the past few years, Indonesia has begun to develop disability-friendly tourism infrastructure and services. The theory used in this study is the Theory of Planned Behavior, which has proven effective in shaping the behavioral intentions of tourists. This research was conducted using quantitative methods with structural equation modelling analysis procedures using CB SEM. The data collection technique used was non-probability sampling, targeting people with visual impairments, hearing impairments, physical disabilities, and mild mental disabilities. There are 200 pieces of data collected using a questionnaire. The results showed that travel constraints significantly positively affect travel intention through travel motivation among people with disabilities in Bandung. Existing literature finds a direct effect of travel constraints on travel intention in the tourism industry. This study contributes to the existing literature by including travel motivation as a mediating variable in mediating the effect of travel constraints on travel intention among people with disabilities in Bandung.

Acceptance and Use of Technology: The Influence on Consumption in the Colombian Banking Sector

This body of research aims to identify the relationship between elements of the Unified Theory of Acceptance and Use of Technology (UTAUT), the behavioral intention to use technology and the actual consumption of it among users in the Colombian banking sector. A factorial analysis and a structural equation model were used to analyze the impact of performance expectancy, effort expectancy, social influence and facilitating conditions on behavioral intention and the actual consumption of technology in a sample of 556 consumers from the Colombian banking sector. The results suggest that effort expectancy and facilitating conditions predict behavioral intention and actual use of technology in the studied population, whereas social influence and performance expectancy do not. In conclusion, financial entities are advised to understand consumer behavior to maintain relevant, competitive, and profitable relationships with their clients in a dynamic financial environment.

The Impact of Immersive Technology in Museums on Visitors’ Behavioral Intention

The Impact of Immersive Technology in Museums on Visitors’ Behavioral Intention

Data Visualization of Student Academic Performance Analysis

Understanding and enhancing student academic performance has become increasingly crucial, yet educators often face data overload, making identifying and prioritizing factors influencing student performance difficult. This study seeks to create a comprehensive system for visualizing and analysing student academic performance. The research follows the waterfall model, with clearly defined phases to ensure an organized and complete development process. The study's main objectives include determining the requirements and techniques to analyse student academic performance and developing and designing a data visualization dashboard using Microsoft Power BI. The final phase consists of evaluating of the student performance dashboard using the Technology Acceptance Model (TAM). A total of 35 respondents was randomly chosen for evaluation and hands-on sessions. The dimensions encompassed Perceived Ease of Use, Perceived Usefulness, Attitude towards Using, and Behavioural Intention. The Attitude of Using received the highest mean score of 4.39, closely followed by Behavioural Intention with a score of 4.38. The results indicate that the participants have a high level of satisfaction with using the dashboard, considering it advantageous and indicating a desire for future implementation. Finally, the project exhibits potential for further advancement, encompassing predictive analytics and tailored learning recommendations, aiming to provide even more precise and actionable insights into student performance.

Fostering sustainable leisure activities: a behavioural insight into eco-friendly intentions in Mount Damavand

ABSTRACT Mount Damavand, the highest point in the Middle East and one of the most popular peaks in the region, is experiencing environmental degradation due to hikers’ activities, exacerbated by inadequate regulations and infrastructure to manage visitor volume and behaviour. This study delved into the pro-environmental behavioural intentions of hikers within the Mount Damavand National Park. Employing partial least square structural equation modeling (PLS-SEM), we examined a proposed framework extending the theory of planned behaviour by including the value-belief-norm theory and a formative approach to study constraints to pro-environmental behaviours of hikers. We analyzed a sample of 393 hikers. The findings underscored the effectiveness of amalgamating these theoretical frameworks and elucidated 46% of the variance in pro-environmental behavioural intention.