Attitude Research Articles

Factors affecting intention to adopt green building practices: a journey towards meeting sustainable goals

Purpose The construction industry and its activities harmfully affect the environment. Hence, adopting green building (GRB) practices can be helpful in achieving sustainable development goals. Therefore, this study aims to identify the factors affecting the intention to adopt GRB practices by extending theory of planned behavior (TPB). Design/methodology/approach Using non-probability purposive sampling technique, data was gathered from consultant and contractor engineers in the construction industry through a questionnaire. The analysis was done using partial least square-structural equation modeling technique on a useful sample of 290. Findings Findings revealed that the core constructs of TPB [i.e. attitude (AT), subjective norms (SUBN) and perceived behavioral control (PBC)] significantly affect the intention to adopt GRB practices. Moreover, government support and knowledge of green practices (KNGP) were found to be critical influencing factors on AT, SUBNs and PBC. Lastly, the findings confirmed that environmental concerns (ENC) play as a moderating between SUBN and intention to adopt GRB practices, as well as AT and intention to adopt GRB practices. Practical implications This study contributes to existing knowledge on GRB, offering evidence base for policy choices regarding climate change adaptation and mitigation in the construction industry. Originality/value This study provides insights from the perspective of a developing economy and confirms the applicability of TPB in the adoption of GRB practices. Moreover, this study confirms the moderation role of ENC in between TPB constructs and intention to GRB that is not tested earlier in the context of GRB. This study also confirms that government sustainable support positively affects PBC, and KNGP significantly affects SUBNs.

Do technological, environmental and entrepreneurial factors affect social commerce adoption?

PurposeIn today’s business world, adopting social commerce for day-to-day operations has increasingly become an important phenomenon. Several factors have been identified by previous researchers regarding the adoption of social commerce, but academic research is scarce on the relationship between the factors influencing social commerce adoption and small and medium-sized enterprises (SMEs) in the post-COVID-19 situation. This study aims to identify the impact of technological, environmental and entrepreneurial factors on the adoption of social commerce by SMEs in Sri Lanka.Design/methodology/approachA quantitative study utilised the deductive approach and collected data through a field survey by distributing a five-point Likert scale questionnaire to conveniently selected respondents from Sri Lankan SMEs. Structural equation modelling (SEM) was used for the analysis of 384 responses.FindingsThe results revealed that technological factors [technology availability (TA) and cost-effectiveness (CE)], environmental factors [bandwagon effect (BE)] and entrepreneurial factors [attitude (AT), innovativeness (IN) and IT knowledge (IK)] have a significant impact on the social commerce adoption of SMEs in Sri Lanka. This study, as the first of its type, offers insightful information on the influence of variables on the adoption of social commerce after the COVID-19 pandemic.Research limitations/implicationsSimilar to any research, this study also has inherent limitations. Due to time and financial restrictions, the study’s convenience sampling method was adopted. The study’s possible limitation is its narrow focus, which could mean that it only examines a select few social media (SM) networks. The study’s conclusions might be less generalised since it focused on the western province of Sri Lanka. Future studies should take a cross-cultural strategy to explore the influence of social commerce adoption to improve the generalisability of research findings.Practical implicationsThis study provides an in-depth assessment of critical factors, facilitating policymakers, owners, leaders and managers (decision-makers) to gain insight into the real influencing factors on social commerce adoption and the significance of SM. The study helps them comprehend how outstanding governance and knowledge of influencing factors can boost SME success in various ways. For example, research reveals that various factors have a major influence on social commerce adoption.Social implicationsThere has been limited research conducted on social commerce adoption after the COVID-19 pandemic period; thus, this study looked at the variables influencing it amongst SMEs in a South Asian developing country like Sri Lanka after the pandemic lasted for two years. By placing a strong emphasis on the role of entrepreneurial characteristics and the available technology within one single framework in the context of SMEs and their involvement with social commerce adoption, this study contributes to the past literature by emphasising the role of several significant factors in SMEs' adoption of social commerce. Whilst previous studies looked at multiple factors influencing the adoption of social commerce globally, this study focussed on how these factors have a significant impact on SMEs in Sri Lanka.Originality/valueThis study developed a multi-perspective framework combining technological, environmental and entrepreneurial factors influencing SMEs to adopt social commerce. The study provides a contribution to the literature on social commerce adoption from the perspective of SMEs in a developing country like Sri Lanka after COVID-19. Exclusively, it examines the impact of entrepreneur-related factors on social commerce adoption.

Impact of security on wallet adoption: multiple and serial mediating roles of trust and attitude and gender as a moderator

PurposeThe study investigates the influence of perceived security (PS) on behavioral intention (BI) via the trust attitude process and explores the moderating effects of gender. PS in mobile wallets enhances user trust (TR), attitude (ATT) and intention (INT). Using a multiple and serial mediation model, both TR and ATT were found to mediate the relationship between PS and BI.Design/methodology/approachDrawing on the stimulus-organism-response (S-O-R) theory, the proposed conceptual model comprises PS, TR, ATT and BI. An online survey was conducted with a cross-sectional sample of 744 mobile wallet users in India. Partial least squares structural equation modeling (PLS-SEM) was used to analyze the hypothesized relationships and test the mediation effects.FindingsResults show that the stimulus, PS, has a positive and significant influence on TR and ATT, which eventually has a positive influence on BI. The research model explains 64.4 percent of the variance in BI. Further, both TR and ATT independently and parallelly mediate the relationship PS and BI. Lastly, gender is found to moderate the relationship between TR and BI and ATT and BI.Practical implicationsThe research showed the importance of PS, TR and ATT towards mobile wallet adoption INTs. Further, the findings support the idea that developing TR and ATT is essential for shaping INTs. This suggests that mobile wallet service providers should invest in methods that not just enhance user TR but also reinforce a positive ATT towards the platform. To demonstrate TR, mobile wallet providers must ensure the confidentiality and privacy of user data, keep customer interests in mind and fulfill commitments. Lastly, for strengthening customer TR, excellent customer support is extremely important.Originality/valueWhile prior researchers have majorly used technology acceptance model (TAM) and unified theory of acceptance and use of technology (UTAUT) models to explain adoption INTs, this study examines the relationship between PS, TR, ATT and BI through the lens of the SOR framework.

Using the TPB model to determine factors affecting e-learning adoption in Jordanian higher education

The purpose of this study was to use the TPB Model to identify the variables influencing the adoption of e-learning in Jordanian higher education. The worldwide trend towards e-learning has resulted in considerable operational changes for Jordan's higher education institutions (HEI). There were 850 students in the sample. The proportionate stratified random sample approach was used to select them at random from the general population. To gather information, a questionnaire was developed. The tool's validity and dependability were guaranteed. An analysis of regression was done to evaluate the associations between the constructs. The findings demonstrated that attitude (AT), subjective norm (SN), and perceived behavioral control (PBC) significantly influence behavioral intention (BI). In light of the results, the researchers proposed rerunning the study in various contexts (such as additional Jordanian universities) in order to assess the validity of the enlarged research model. The sample could comprise both actual users of online learning and non-users in order to compare the findings and ascertain why e-learning is being adopted or not. The study's findings provide a framework for understanding the factors influencing faculty members' and students' intents to use e-learning at Jordanian institutions, which can be useful for students, policymakers, and system developers.

Assessment of factors affecting Filipino consumers’ purchasing intent towards processed meat during COVID-19

There is much to know about the impact of COVID-19 on purchasing patterns of processed meat. This study aimed to assess the factors affecting Filipino citizens' purchasing intent (PI) towards processed meat in Metro Manila. Theory of Planned Behavior (TPB) is used to investigate the fundamental factors influencing changes in food-related lifestyles caused by the pandemic. Research constructs and the intention to purchase processed meat were correlated. Two phases of the study were conducted using factor analysis (n = 150) and structural equation modeling (n = 300). Sustainable Food Choices (SFC), Consumer Attitudes (ATT), and Subjective Norms (SN), were shown to have the most impact on purchasing intent (PI) for processed meat at 5% significance (p < 0.05) based on full model and selective path diagrams, while shopping pattern shifts (SPH) only demonstrated statistical significance in the selective path diagram focusing on lifestyle changes. Model fit indices improved upon separating the TPB constructs from the Lifestyle Changes as both latent variables' effects on purchasing intent for processed meat were assessed. A majority of the fit indices demonstrated at least acceptable values. SFC negatively influenced PI, while ATT, SN, and SPH demonstrated a positive effect. In general, this research offers valuable insights into the impact of COVID-19 pandemic on consumer behavior concerning food and its potential influence on the likelihood of purchasing processed meat in the Philippines.

Do family factors affect the usage intention of smart homes? A PLS-SEM empirical study from China

PurposeDespite the enormous benefits, smart homes (SHs) are still not widely adopted by residents in China. Furthermore, research on the intention to use SHs has overlooked the role of family factors. Thus, this study aims to propose a new research model to examine the impact of family factors on the usage intention (UI) of SHs.Design/methodology/approachThis study collected 265 valid data from potential users of SHs in China using a convenience sampling method. The PLS-SEM method was applied to test the research model and related hypotheses.FindingsThe empirical results confirm the mediating role of optimism (OP) in perceived family support (PFS)/perceived family trust (PFT) and attitude (AT). Unsurprisingly, the results validated the relationship between perceived usefulness (PU), attitude (AT) and UI of SHs through TAM theory. Besides, this study also identified the moderating effect of perceived risk (PR) between AT and UI.Practical implicationsTo improve SH adoption, practitioners should focus on family factors and utilize family influence to promote the spread of smart home reputation. Besides, SH practitioners should enhance user trust and reduce perceived risks through technological upgrades and security measures.Originality/valueBased on the Social Impact Theory and Technology Acceptance Model (TAM), this study is an empirical attempt to explore the impact of family factors on the intention to use SHs, expanding the research on smart home adoption.

The influence of parents' behavior of children with type-1 diabetes mellitus in maintaining children's periodontal health based on the theory of planned behavior

Type-1 diabetes mellitus (T1-DM) is the most common chronic disease in children and adolescents. Parental behavior toward children with T1-DM also affects the periodontal health of the child. Based on the Theory of Planned Behavior (TPB), behavior is divided into attitude (ATT), subjective norm (SN), perceived behavioral control (PBC), intention and behavior. Therefore, this study aims to determine the effect of parental behavior on children with T1-DM in maintaining children's periodontal health based on TPB. This study used a cross-sectional observational analytical method involving 35 parent respondents who had children with T1-DM who were treated at Dr. Saiful Anwar Hospital, Malang City, and joined the Association of Families with Child and Adolescent Diabetics (IKADAR). The instrument used in this study was a questionnaire modified from Macrus H (2010) in accordance with the measurement of behavior based on TPB. In this study, the Pearson correlation test was applied using Statistical Package for the Social Sciences (SPSS) software with a significance level of 0.05. The results of this study showed no significant relationship between ATT, SN and PBC with behavioral intention. However, there was a significant relationship between the intention of parents who have children with T1-DM in preventive measures related to children's periodontal and parents' behavior in dealing with children's periodontal problems with a medium strength value.

Psychological Factors Affecting Drive-by-Lane Behavior at Lane Offset Intersections: Analysis Based on Extended Theory of Planned Behavior in a Chinese Sample

Traffic conflict commonly occurs in intersections with offset lane lines because of mismatched choices of entrance and exit lanes. This conflict drives down overall traffic efficiency and can cause crashes. At such intersections, the driver’s lane choice behavior seriously affects the traffic system. The theory of planned behavior (TPB) was used in this study to excavate the impact mechanism of drive-by-lane behavior at offset intersections. A scale incorporating TPB constructs and additional variables (risk perception [RP], traffic environment [TE], optimization measures [OM], and driving style [DS]) was developed to collect empirical data with 557 valid samples in China. A structural equation model of drivers’ drive-by-lane behavior was established to explore the causal relationship between behavior and influencing factors, as well as the interrelationships between TPB variables. TE, behavior intention (BI), subjective norms (SN), and RP show the most significant effects on drive-by-lane behavior. DS, perceived behavior control, attitude (ATT), and OM have little impact on drive-by-lane behavior. BI, TE, RP, and DS have significant, direct effects on drive-by-lane behavior. The TE, OM, and DS variables significantly affect drive-by-lane behavior through mediators. RP, BI, and ATT mediate the influence of other variables as well as affecting drive-by-lane behavior. We put forward suggestions to improve driving behavior at offset intersections including changing external factors, education, and training. The direct and indirect relationships between the influencing factors and drive-by-lane behavior are discussed in this paper to provide technical and reference support for future research on managing irregular urban traffic intersections.

Change in Sustainable Waste Management Behaviour in Oil Palm Community: Application of the Theory of Planned Behaviour

The inability to effectively manage waste has evolved into one of the most significant challenges faced in oil palm plantations, and this failure has had an impact on the operations within the plantation. This study examines how attitudes (ATT), subjective norms (SN), and perceived behavioural control (PBC) affect both behavioural intention (BI) and sustainable waste management behaviour (SWMB) in the palm oil mills of Sabah, Malaysia. The theory of planned behaviour (TPB) serves as the primary theory in this research, which uses a conceptual framework. Distributed questionnaires to the top management of 133 oil palm mills were used to gather the data, and then they were processed using Smart-PLS V4. This research found out that SN and PBC have an influence on individuals’ BI and SWMB adaptations in Sabah’s oil palm mills. The SN was shown to have the strongest association between the SWMB and BI. However, attitudes resulted in no impact on either the intention to engage in sustainable waste management behaviour or on the actions themselves. Ultimately, the findings of this study will give a framework for the governance of palm oil waste in Malaysia by contributing to the development of a legislative and regulatory framework in this area that is more effective.

Application of Interactive Teaching Method in Digital Media Technology Teaching in Chengdu, China

Background and Aim: This study explored the influences on the intention of undergraduate students majoring in digital media technology to participate in interactive teaching methods in three of the most representative universities in Sichuan Province. The objective of the research is to determine the extent to which each variable influences the use of interactive teaching methods. The latent variables investigated in the study include social influence (SI), trust (TR), perceived usefulness (PU), perceived ease of use (PEOU), attitude (AT), behavioral intention (BI), and usage behavior (UB) of interactive teaching methods. The population of the research is freshmen to Juniors of digital media technology departments from three target universities, namely Chengdu University, Chengdu Institute of Technology, and Sichuan Institute of Industry and Commerce. The 504 samples were proportionally drawn from the mentioned three universities. Materials and Methods: In this paper, a total of 504 data were collected through questionnaires, and data were analyzed using the Structural Equation Model. Results: The results of the data analysis found that the effects of perceived usefulness and trust on attitude were not significant, and all other hypotheses were verified. Among them, perceived ease of use had the greatest effect on attitude. Conclusion: For undergraduate digital media technology students to recognize and use interactive teaching methods, university administrators and teaching staff need to simplify the interactive teaching process and pay attention to the factors that have a significant effect on behavioral intentions.

Does knowledge and concern regarding food supplement safety affect the behavioral intention of consumers? An experimental study on the theory of reasoned action.

In recent years, health crises have led consumers to make more frequent purchases of food supplements. The global food supplement market, which reached $61.20 billion in 2020, is estimated to reach $163.12 billion by 2022 and $350.96 billion by 2032. However, many consumers still have concerns about the safety of food supplements. Within the scope of the research, firstly, the health consciousness (HC) level of food supplement consumers was determined. Secondly, food safety knowledge (FSK) and food safety concerns (FSCs) were measured. Thirdly, consumers' attitudes (ATUs), subjective norms (SNs), and behavioral intentions (BIs) toward food supplements were determined within the scope of the theory of reasoned action. The study used a convenient sampling, and 327 participants were included in the sample population. The data for the analysis was collected using the online survey method in the third quarter of 2023. The relationships between hypothesized items in the structural model were tested using the Smart-PLS. The validity and reliability of the measurement model were evaluated at the start of the structural equation modelling approach using confirmatory factor analysis (CFA). Regression analyses were performed in the structural model phase to evaluate overall fit and suggested relationships by way of the Smart-PLS. In light of the findings, it was determined that the interaction between HC and ATU was mediated by FSK, and the interaction between HC and the SN was mediated by FSK. Consequently, this research presents a variety of theoretical and practical implications to give clues for consumers' health regarding food supplement consumption.

Influence of environmental awareness on the willingness to pay for green products: an analysis under the application of the theory of planned behavior in the Peruvian market.

This paper aimed to build a predictive model through an empirical study to examine the influence of environmental awareness (EA) on attitude (ATT) and perceived behavioral control (PBC), as well as to determine the influence of the three variables of the theory of planned behavior (TPB) on willingness to pay (WP) for green products in the Peruvian market. A total of 405 Peruvian consumers were surveyed. Most of them were between the ages of 18 and 30 and single. To test the hypotheses, partial least squares (PLS-SEM) were used using the SamrtPls4 software. The results show the significant positive effect of EA on ATT and PBC. The positive and significant effect of ATT, SN, and PBC on WP was also tested A total of 405 Peruvian consumers were surveyed. Most of them were between 18 and 30 years old and single. To test the hypotheses, partial least squares (PLS-SEM) was used using SamrtPls4 software. The results show the positive and significant effect of AD on ATT and PBC. The positive and significant effect of ATT, SN and PBC on WP was also tested. The research provides antecedents that allow evaluation of the possibility that companies and governments adjust the dissemination strategies and related public policies regarding the impact of environmentally responsible behavior in order to contribute to the development of environmental awareness as a variable that promotes the disposition of consumers to pay for environmentally friendly products.

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 &lt; 0.01, f2= 0.087）had a significant and positive prediction on intention in addition to the significant contributions from AT (p &lt; 0.01, f2=0.053), SN (p &lt; 0.01, f2=0.047), and PBC (p &lt; 0.01, f2=0.060). However, perceived risk (p &lt; 0.01, f2= 0.070) had a significant and negative prediction on intention. Besides, perceived usefulness (p &lt; 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.

ANTECEDENTS TO THE UNDERPRIVILEGED UNDERGRADUATE STUDENTS' INTENTION TO PARTICIPATE IN ONLINE CLASSES

COVID-19 pandemic has forced educational institutions to use e-learning systems. Bangladesh is no exception; many students come from underprivileged families who are not well-off. This study aimed to explore the antecedents to the underprivileged undergraduate students' intention to participate in online classes in Bangladesh through the integration of the Technology Acceptance Model, Information Systems Success Model, and Theory of Planned Behaviour. We used confirmatory factor analysis (CFA) to test the hypotheses. The non-probability sampling method was used to select 394 respondents by dint of the subjective judgment of the researchers. Using smart PLS software, the data were analyzed with Structural Equation Modeling (SEM). It was divulged that e-Learning usage intention (BI) is influenced by attitude (ATT), perceived usefulness (PU), students' online learning satisfaction (SOS) and subjective norms (SN). But perceived ease of use (PEU) and system quality (SQ), internet service quality (ISQ) and perceived behavioral control (PBC) do not influence BI. Even ISQ does not influence SOS. It was also revealed that PEU mediated attitude and PU, and PEU and SQ also influenced SOS. The study contributes to e-Learning literature by incorporating three models which may guide policymakers in understanding how to integrate students from all social classes into e-learning systems to eliminate academic digital discrimination.

The precursors of AI adoption in business: Towards an efficient decision-making and functional performance

Artificial intelligence (AI) is a highly effective solution for enhancing decision-making efficiency and optimising the functional performance of organisations. However, there have been limited attempts to assess the consequences of implementing AI systems on the quality and efficiency of decision-making. This study proposes and empirically examines an extended model covering all aspects that would shape the successful adoption of AI by decision-makers while investigating how the successful adoption of AI enhances the efficiency of the decision-making process. This study also intends to test the validity of the integrated AI acceptance-avoidance model (IAAAM) proposed by Cao et al. (2021) using the Middle East context (i.e. Saudi Arabia). The extended model of the current study was based on the IAAAM and IS professional distinctiveness (ISPD). Two quantitative studies were conducted to achieve the research objectives. The first study was conducted to validate the IAAAM using a purposive sample of employees (non-adopters of AI applications). The second study tested the proposed model using a purposive sample of employees (actual adopters). The structural equation modelling (SEM) results of the first study (non-adopters) supported the validity of the IAAAM in Saudi Arabia. Factors (performance expectancy (PE), facilitating conditions (FC), personal well-being concern (PWC), perceived threat (PT), and attitudes (ATT)) had a significant impact on either ATT or the intention to use AI. The SEM results of actual adopters supported the impact of PE, EE, FC, PWC, and ATT on either ATT or the adoption of AI (AoAI). As an external factor, the ISPD was the most significant predictor of AoAI. The AoAI was confirmed to strongly predict decision-making efficiency, which, in turn, contributes to functional performance. This study enriches the current understanding of the main factors that contribute to the successful implementation of AI systems, offering an in-depth understanding of both AI adopters and non-adopters. It identifies factors important to non-users to enhance future adoption, whereas current AI users focus on improving decision-making quality with the AI assistance.

Predictive modeling of consumer purchase behavior on social media: Integrating theory of planned behavior and machine learning for actionable insights.

In recent times, it has been observed that social media exerts a favorable influence on consumer purchasing behavior. Many organizations are adopting the utilization of social media platforms as a means to promote products and services. Hence, it is crucial for enterprises to understand the consumer buying behavior in order to thrive. This article presents a novel approach that combines the theory of planned behavior (TPB) with machine learning techniques to develop accurate predictive models for consumer purchase behavior. This study examines three distinct factors of the theory of planned behavior (attitude, social norm, and perceived behavioral control) that provide insights into the primary determinants influencing online purchasing behavior. A total of eight machine learning algorithms, namely K-nearest neighbor, Decision Tree, Random Forest, Logistic Regression, Naive Bayes, Support Vector Machine, AdaBoost, and Gradient Boosting, were utilized in order to forecast consumer purchasing behavior. Empirical findings indicate that gradient boosting demonstrates superior performance in predicting customer buying behavior, with an accuracy rate of 0.91 and a macro F1 score of 0.91. This holds true when all factors, namely attitude (ATTD), social norm (SN), and perceived behavioral control (PBC), are included in the analysis. Furthermore, we incorporated Explainable AI (XAI), specifically LIME (Local Interpretable Model-Agnostic Explanations), to elucidate how the best machine learning model (i.e. gradient boosting) makes its prediction. The findings indicate that LIME has demonstrated a high level of confidence in accurately predicting the influence of low and high behavior. The outcome presented in this article has several implications. For instance, this article presents a novel way to combine the theory of planned behavior with machine learning techniques in order to predict consumer purchase behavior. This integration allows for a comprehensive analysis of factors influencing online purchasing decisions. Also, the incorporation of Explainable AI enhances the transparency and interpretability of the model. This feature is valuable for organizations seeking insights into factors driving predictions and the reasons behind certain outcomes. Moreover, these observations have the potential to offer valuable insights for businesses in customizing their marketing strategies to align with these influential factors.

The understanding of the Islamic community's intention toward religious tourism

Purpose – This study aims to analyze the influence of attitudes, subjective norms, perceived behavioral control, service quality, and religious tourism literacy on people's intention in recommending and returning to religious tourism destinations.Research methods – The data source for this research was a survey method with a questionnaire distributed via broadcast on social media. This research uses a quantitative data processing method using structural equation modeling partial least squares (SEM-PLS) analysis with the SmartPLS 3.3 statistical tool.Findings – The results of this study show that subjective norms (SN), attitudes (ATT), and religious tourism literacy (RTL) have a significant influence on the intention to recommend and revisit religious tourism. Meanwhile, service quality (SQ) and perceived behavioral control (PBC) were not accepted and did not have a significant effect on the intention to recommend and revisit religious tourism.Implications – The government can also focus on developing religious tourism literacy programs to increase public knowledge, which, in turn, can enhance interest, positive attitudes, and the intention to recommend and revisit. Considering these implications, destination managers and stakeholders can design more effective strategies to enhance attractiveness and visitor satisfaction and contribute to the sustainable development of religious tourism.Originality – This model adopts the Theory of Planned Behavior (TPB) by incorporating service quality and religious tourism literacy. Service quality and religious tourism literacy are considered appropriate factors to capture issues related to the community's intention to recommend and revisit religious tourism destinations

Comparison PAPI and CAPI methods in data collection : an application of technology acceptance model (TAM)

This research aims to comparative analysis about technology acceptance model (TAM) variables; perceived usefulness (PU), perceived ease of use (PEOU), and attitude (ATT) of interviewers in using conventional paper and pencil interview (PAPI) and computer-assisted personal interview (CAPI) as data collection methods. The data were collected from two groups of interviewer, with a total of 334 interviewers. Analyses were conducted within each group and then compared using t-test using JASP 0.17.2.1. The findings showed that the two groups of PAPI and CAPI interviewers differed in their usage of survey methods. This research will assist organizations in planning the transformation of survey methods from PAPI to CAPI. It will also contribute to the understanding of the differences in interviewers' perceptions towards these two data collection methods.

Thinking Through Affective Uncertainty: What Does it Do, and How is it Relevant to Our Contemporary Moment?

How is affective uncertainty produced in art and performance? What does it do as a dramaturgical tool and artistic strategy? The text discusses a politically engaged theatre performance, Your Majesties by Navaridas &amp; Deutinger, and the different strategies used to produce affective uncer tainty and ambivalence in its spectators. This uncertainty can be understood as an unsettlement, and as a tension fraught atti tude that might lead to 'ugly feelings' and suspended agency (Ngai 2005). How do we as spectators navigate our own uncertainties and ambivalence? This entails attentive lis tening to the voices saturating the complex theme, and to tensions causing our uncer tainties. Such affective conditions, however, might also carry a critical potential—useful for navigating our contemporary moment and its many urgencies. The article will also discuss how affective uncertainty ties in with the so called affective turn. in contemporary art and theatre. This was prompted by an interest to study its performative qualities, as well as to take a closer look at what the critical potential of spectator experiences of uncertainty might be. As the title of this essay already shows, this text is guided by the question: What does affective uncertainty do (as a drama turgical and artistic strategy), and how is it relevant to our contemporary moment? To answer this, I will draw on an example from the field of politically engaged contempo rary theatre.

Consumers' behavioral intention toward online shopping in the post‐COVID‐19 period

AbstractInfectious COVID‐19 transformed the world overnight, freezing all physical activities and forcing the majority toward online mode. Technology came up as a savior to alleviate the consequences of COVID‐19 on the economy, causing a rapid transformation in consumers' behavior, and an overall jump in the sale of e‐commerce could be witnessed globally. This paper aims to explore the factors that caused the transformation in consumers' behavioral attitude (AT) and intention toward online shopping (BITOS). The study integrates the TPB and UTAUT models while adding two additional variables, namely, perceived risks (PR) and perceived benefits (PB), to predict consumers' BITOS. A survey was conducted to collect a sample of 402 consumers Aligarh city, and the National Capital Region of India using the mall intercept sampling method. The data were analysed to establish the measurement model and test the hypothesized structural model with the Smart‐PLS software. The study's findings confirmed that PB, subjective social norms, perceived ease of use, and perceived usefulness positively affect AT and BITOS, whereas PR does not influence AT and BITOS. The study also indicated that AT has a positive effect on BITOS. Concerning AT, it does not mediate the relationship between PR and BITOS; however, it mediates between the direct link PB and BITOS, making it stronger. The study's findings help the E‐commerce industry understand consumers' transformed attitudes/intentions and restructure their strategies to strengthen their online business further. Despite its regional and design limitations, it contributes significantly to the current research on online shopping behavior in India during COVID‐19.