Acceptance Of Information Systems Research Articles

Factors influencing health information system acceptance: a cross-sectional study from a low-middle-income country.

The Avicenna unified Health Information System (HIS) was implemented by the Palestinian Ministry of Health in 2010 across government hospitals. Despite its potential, the acceptance of Avicenna HIS by healthcare providers remains unclear after 14 years of application. Understanding the factors that influence healthcare provider acceptance is essential for optimizing the system's success. We investigated factors affecting acceptance of Avicenna HIS among healthcare providers in Palestinian healthcare institutions, focusing on perceived usefulness, ease of use, human factors, technological factors, and organizational support. A cross-sectional study was conducted at the Palestine Medical Complex (PMC) in Ramallah, West Bank, where the Avicenna HIS has been fully implemented since 2010. A systematic random sampling was used to select participants, resulting in 300 completed questionnaires. The study utilized a self-administered questionnaire adapted from a structured tool based on the Technology Acceptance Model (TAM). The questionnaire was validated through expert review and pilot testing, achieving a Cronbach's alpha of 0.86. Each selected healthcare provider was contacted face-to-face, and written informed consent was obtained before administering the questionnaire. A total of 300 questionnaires were completed and returned. The study sample included 178 males (59.3%) and 122 females (40.7%). The majority of participants was aged 20-39 years (270 participants, 90%) and held a bachelor's degree (250 participants, 83.3%). Nurses comprised the largest professional group (153 participants, 51.0%). High levels of perceived usefulness and ease of use were reported, both with mean scores of 4.511 (S.D. = 0.295). Technological factors had a mean score of 4.004 (S.D. = 0.228), while organizational factors scored 2.858 (S.D. = 0.304). Overall acceptance of the HIS was moderately high, with a mean score of 4.218 (S.D. = 0.387). Significant differences in perceived usefulness and ease of use were noted based on gender, age, and experience. This study concludes that both technological and human factors significantly influence the acceptance of HIS among healthcare providers in Palestine. To improve HIS adoption, it is recommended to enhance system functionality, ensure reliable data quality, and provide comprehensive training programs for healthcare providers.

Perceived Usefulness of a Mandatory Information System

This study examines the adoption and implementation of an information system in a mandatory context focusing on an Israeli governmental organization. The system referred to as “Slot” is an online platform for managing educational activities within this organization. The research investigates the impact of the system on its functionality users and the results of its usage. Additionally, the study explores factors that influence the acceptance and utilization of information systems, including whether the willingness to use the system under instruction depends on other variables. The key findings of this study are: perceived ease of use significantly and positively influences perceived usefulness; perceived usefulness significantly and positively affects symbolic adoption; and supervisor influence significantly and positively impacts perceived usefulness. Moreover, the relationship between perceived ease of use and symbolic adoption is entirely mediated by perceived usefulness as is the relationship between supervisor influence and symbolic adoption. The study’s limitations include the relatively small sample size and the specific context of the research, which may limit the generalizability of the findings. Future research could explore similar models in different organizational settings to validate and extend the applicability of the results. The findings suggest that enhancing the perceived ease of use and usefulness of mandatory systems can significantly impact their symbolic adoption, with supervisory influence playing a crucial role in shaping user perceptions. These insights can inform strategies for more effective implementation and management of information systems in mandatory settings.

Framework for Assessing the Performance of Hierarchical Organizations in Adoption Of higher Education Information System

Adopting and successfully implementing information systems in higher education is essential to improve administrative processes and communication and support academic activities. However, the hierarchical nature of these organizations poses unique challenges that need to be addressed for the effective adoption of information systems. This study proposes a framework for assessing the performance of hierarchical organizations in effectively implementing information systems in universities. This framework provided a structured approach to assessing the performance of hierarchical organizations in the adoption of information system success in higher education institutions. This framework considered the various dimensions influencing the successful adoption of information systems in hierarchical organizations. This dimension includes leadership support, communication channels, organizational culture, and resource allocation. This study aimed to provide a structured approach for evaluating and adopting information systems at various levels of the organizational hierarchy. A structural equation model using a quantitative method and Smart Partial Least Square are utilized for data analysis. Using a population of 121 respondents, data was collected using a questionnaire instrument used the Google Form link Banten Province higher education leadership level. Secondary data was obtained using documentation studies and literature studies. The limitations of this study are limited by a small sample size, making it challenging to generalize findings to a broader population of higher education institutions. Further, organizational culture plays a vital role in the adoption of technology. The framework may need to sufficiently address the influence of cultural factors on the acceptance and performance of information systems within hierarchical organizations. The research results show that by leveraging this framework, institutions can enhance their information system adoption processes and ultimately improve their effectiveness in utilizing information systems for academic and administrative purposes.

Acceptance of health information systems in Sri Lanka using fuzzy set qualitative comparative analysis

Acceptance of health information systems in Sri Lanka using fuzzy set qualitative comparative analysis

Shopee E-Commerce Purchase Decisions Viewed from Hedonist Motivation, Utilitarian, Sales Promotion, and Consumer Interest: A Conceptual Model

One of the most promising forms of online sales today is e-commerce. The convenience of online shopping makes it easier for the buyers to spend more and at the same time compare the prices and quality of goods, without having to step out. The existence of motivation has a great influence in determining the decisions that need to be made. To increase the revenue of an e-commerce business, promotions are the most important thing to attract consumers. The next step involves the consumer’s decision whether to buy the product or not. This researcher constructed the conceptual Hedonic Information System Acceptance Model (HISAM) to identify the utilitarian and hedonic motives that influence consumer purchasing decisions. To find out how hedonism and utilitarian behavior influence online sales partners in the home care industry to conduct targeted promotions to attract customers. Consumer concerns when shopping on the Shopee marketplace. The researchers studied a sample size of 100 people from Master of Management students at Sebelas Maret University in Surakarta using multiple linear regression analysis. Keywords: Hedonist motivation, utilitarian, sales promotion, consumer interest, Shopee e-Commerce, purchase decisions

Determinants for the acceptance of emergency response information systems: Ethnographical insights into the digitalization of a voluntary fire department

Fire departments are one of the most versatile and widespread emergency management organizations. To support their digitalization, innovative firefighter information technologies such as emergency response information systems (ERIS) are suggested. Despite theoretical potentials like raised situation awareness, however, these technologies seem to disseminate only slowly in practice. As existing acceptance models cannot sufficiently explain the acceptance of novel technologies in this special domain, literature calls for increased contextualization. To get insights into the domain-specific acceptance factors, we conducted an ethnography and observed a voluntary fire department's multi-year project to introduce an ERIS. We identified seven factors, like revealing events and error management culture, which acted as triggers for different adoption stages. From overarching characteristics of a voluntary fire department, we derived six additional acceptance factors, like situational adaptability and self-determination. The identified factors can help firefighters in conducting successful digitalization projects, and policy makers in supporting voluntary emergency management organizations. Moreover, the results provide numerous avenues for future research, can be linked to various research fields and contextualize existing acceptance models. Beyond fire departments, the results may be transferred to similar high-reliability organizations.

Functional Gastrointestinal Disorders (FGID): Information Technology Adoption Based on Power Transmission

One of the most investigated topics in information systems (IS) has been the adoption of new technologies. While several models have been developed in the past ten years to address the acceptance or rejection of information systems, there is still a dearth of studies that provide a thorough analysis and classification of the literature in this field. Many functional gastrointestinal illnesses have been linked to potential treatments with electrical stimulation (FGID). An implanted electrical stimulation system with a transcutaneous power supply is presented in this research. The issue of providing an implanted electrical stimulator with prolonged power is resolved by this technology. Following implantation, the external controller can reprogram the stimulation parameters, which are subsequently communicated to the implanted stimulator. This would make it possible to do parametric research to find out how well different stimulation parameters work to encourage gastric contractions. Feedback on changes in the gastrointestinal tract can be received in real time via an internal stimulator pressure detector. The investigation provides academics and practitioners with insights and future directions on technology adoption by looking into related research works to gather data on IT adoption patterns. This paper outlines potential future research directions for scholars interested in pursuing studies on technology adoption. It also provides a summary of the major discoveries from earlier investigations, including statistical conclusions about variables that were added in IT adoption research.

Factors Leading to the Acceptance of Management Information System in Public Schools: A Path Analysis

The study aimed to determine the factors leading to the acceptance of management information systems in public schools. There were 300 Public school Teachers who participated in the study. They were selected using random sampling. The structural factors were management support, social influence, personal IT innovativeness, and convenience. The dependent variable was the acceptance of the management information system indicated by perceived usefulness and ease of use. The research employed a quantitative, non-experimental design and descriptive-path Analysis approach. The face-to-face data collection process was utilized using a standardized instrument. The statistical tools used were mean, Pearson’s product-moment correlation, and path analysis. The findings of the study showed that the structural variables of Management Information System (MIS) such as management support, social influence, personal IT innovativeness, and convenience yielded very high-level results. Similarly, the acceptance of MIS in terms of perceived usefulness and ease of use yielded a very high level of acceptance. Furthermore, the perceived structural variables are significantly related to the use of MIS. Finally, the Path analysis revealed a significant relationship between various factors and the perceived ease of use and perceived usefulness of MIS.

User Acceptance and Adoption of the Digital Management Information System by focusing on E-Learning System in Institute of Distance Education (IDE) at the University of Zambia (UNZA)

Digital transformation is conquering the world with a tremendous speed in every aspect of society and education is one important area. This fast advancement in technology is occurring in both the developed and developing societies. As a result, we see e-learning platforms extensively used and make the learning process continue in universities and education institutions almost uninterrupted, despite the restrictions of social interaction by governments during the covid-19 pandemic. The purpose of the study was to evaluate the User Acceptance and Adoption of the Digital Management Information System by focusing on E-Learning System in IDE at UNZA. The study was conducted on the students and lecturers who used the System at the IDE at UNZA. A google questionnaire was sent to the students in their groups and 271 participants answered the questionnaire successfully and this became the sample for the study. Data was analyzed using SPSS where the correlation and multi-variant Regression Analysis Model were used to help understand the data. The study found that the Social Influence (β= .657), was mostly significant in influencing User Acceptance Adoption of the System, seconded by Performance Expectancy ( and Effort Expectancy’s (. The study concludes that all the constructs are positively related to the acceptance and adoption of the E-Learning System. However, Social Influence is the most influenced factor User Acceptance Adoption of the E-Learning System at the University of Zambia when compared to the other constructs. This conclusion has added to the arguments which have found other factors like PE and EE to be factors affecting BI for the adoption of IT systems in other countries. The study recommended that the University of Zambia should link E- Learning system with the online library to assist student get the recommended resources. This can be done by adding a fee to facilitate which will help cater for the running costs while students and lecturers maximize the use of the system.

Navigating autonomy and control in human-AI delegation: User responses to technology- versus user-invoked task allocation

Users can increasingly delegate to information systems (IS) – that is transferring rights and responsibilities regarding certain tasks – even to the degree that IS can act autonomously (i.e., without the intervention or supervision of users). What is more, IS increasingly offer to assume the rights and responsibilities for a task not only in response to user prompts (i.e., user-invoked delegation) but also without user prompts (i.e., IS-invoked delegation). Yet, little is known about whether, how, and why users agree to delegation when they are asked by the IS in contrast to when they self-initiate the delegation. Drawing on self-affirmation theory, we investigate user acceptance of IS- versus user-invoked delegation in two complementary online experiments in software development. Our core findings reveal that IS-invoked (vs. user-invoked) delegation increases users' perceived self-threat and thus decreases their willingness to accept delegation. This threatening effect is larger the less (vs. more) the user perceives control after the potential delegation. Taken together, we uncover defensive user responses to IS-invoked delegation. Furthermore, we shed light on the underlying and moderating mechanisms representing the reasons and contextual features that explain and mitigate these defensive measures. These findings have significant implications for IS designers seeking to improve user-IS collaboration and outcomes by employing IS-invoked delegation.

Employee Acceptance of Human Resource Management Information System: Integrated UTAUT and TTF Model in a Selected Public Firm in Sri Lanka

Aim: In the modern digital world, many companies are moving towards technology-based applications to perform human resource administration work. Employees nowadays are capable of accessing a web-based Human Resource Management Information System (HRMIS) to obtain critical data from recognized techniques such as System Applications and Products (SAP), PeopleSoft, Bann and Lawson. This study aims to investigating the factors affecting the adopting intention of HRMIS in a selected public firm in Sri Lanka.
 Design: Acknowledging the vital concepts on accepting or resisting technology, six components (performance expectancy, effort expectancy, social influence, facilitating conditions, task characteristics, and technology characteristics) from the Unified Theory of Acceptance and Use of Technology (UTAUT) model and the Task Technology Fit (TTF) model were contextualized to investigate the drivers influencing HRMIS adoption intentions in a selected public firm in Sri Lanka. Target population was identified as the Executives, Supervisors/Technical Officers, Clerical and Allied employees of the chosen public company in Sri Lanka. A structured online questionnaire, including 30 items, was used to collect data.
 Findings: Multiple regression analysis results revealed that the factors of Performance Expectation, Task Characteristics, and Technology Characteristics have a positive influence on users’ adoption intention to HRMIS. Effort Expectancy, Social Influence, and Facilitating Conditions had negative influence.
 Implications: The outcomes highlight the necessity of combining TTF components with technology acceptance theories when evaluating the factors influencing acceptance of HRMIS or other information systems. The study's findings will aid management in making the required organizational changes to encourage employees to use the HRMIS application.

Main Factors Affecting Successful Adoption of Management Information System in Yemen Mobile Phone Enterprises

Management Information System play significant role in the management, administration as well as operation of an organization, therefore the organizations consider it as major tool that can lead to development and continuity. Mobile phone one of the most sectors, which is aware of the usefulness of applying management information system. The objective of study is focusing on the successful adoption of management information system in mobile phone enterprises in Yemen. Thus, this study aims to reveal the main factors, which can affect successful adoption of management information systems. The field study of this research apply on mobile phone enterprises in Yemen. Through a literature review, the most common theories and models in the areas of information systems success and technology acceptance related to the study mentioned. We proposed a conceptual model based on theories in the field of technology acceptance and adoption of management information systems. The proposed study framework includes the main influencing factors: attitude toward using system, system quality, information quality, computer anxiety, job relevance and management support, an attempt to reveal the extent of the influence of these factors to overcome the restrictions that prevent the utilization of information systems, which in turn leads to improving the performance of these enterprises.

The influence of affinity on the continuance intention of local government information systems using the technology acceptance model

Affinity is precisely used for user acceptance of the local government information system (SIPD), which is a mandatory system. Affinity is capable of influencing users’ perceptions of interest and common interests, thereby encouraging users to continue using the SIPD system. This research aims to empirically test perceived affinity towards the continuance intention (CI) of using the SIPD by using technology acceptance model (TAM) constructs as mediating factors. A total of 100 respondents, who are active users of the SIPD in 24 districts/cities, participated in this study. Data collection was conducted using an online questionnaire. Data processing was performed using structural equation model (SEM) in the Smart PLS. The research results show that affinity significantly influences the CI of using the SIPD system, both directly and through the mediation of TAM constructs, namely perceived usefulness and perceived ease of use. Thus, this research provides an important contribution by demonstrating that affinity plays a relevant role and is suitable for implementation in mandatory systems like SIPD. By understanding user affinity, authorities can better comprehend users’ perceptions and attitudes, which in turn can help enhance the acceptance and sustainability of SIPD system usage in the South Sulawesi region.

Factors Influencing Consumers’ Acceptance of Smartphone Diet Applications: An Integrated Model

The rapid expansion of smartphone‐based diet applications has been driven by the growing prevalence of mobile technology among consumers and their diverse lifestyle preferences. This study seeks to analyze the factors influencing the use of these applications. The conceptual framework combines three models: the unified theory of acceptance and use of technology (UTAUT2), the DeLone and McLean information system (IS) (D&M IS) success model, and the protection motivation model. Conducted in Saudi Arabia, the research employed a quantitative methodology with a survey questionnaire administered to 572 customers. The study, validated through partial least squares (PLS) structural equation modeling (PLS‐SEM), identified several significant predictors for the intention to use smartphone diet applications. These include performance expectancy (PE), effort expectancy (EE), social influence (SI), price value (PV), IS, and service quality (SEQ), as well as perceived vulnerability and perceived severity. Contrary to expectations, factors like facilitating conditions (FCs) and hedonic motivation (HM) did not significantly impact behavioral intention. This pioneering study sheds light on the adoption of smartphone diet applications in an emerging economy, offering valuable insights for scholars, developers, and health professionals.

Acceptability and use of the electronic community health information system and its determinants among health extension workers in Ethiopia: a retrospective cross-sectional observational study

BackgroundThe electronic community health information system has been increasingly developed and deployed to quantify and support quality health service delivery by community health workers in Ethiopia. However, the success and failure of the electronic community health information system depend on the acceptability and use by its users. This study assessed the acceptability and use of the electronic community health information system and its determinants among health extension workers in Ethiopia.MethodsA retrospective cross-sectional observational study was conducted among 587 randomly selected health extension workers from six regions of Ethiopia. The Revised Technology Acceptance Model was used as a theoretical framework for the study. Descriptive statistics, structural equation modeling, and principal component analysis techniques were used to analyze the data. For all significance tests, multiple comparison adjustments were made using the Bonferroni Correction Method.ResultsThere was near universal acceptance of the electronic community health information system, ranging from 94.4 to 97.4% among health extension workers. However, actual use of the system was considerably lower, at 50%. Perceived usefulness of the electronic community health information system had a direct and positive effect on acceptability (β3 = 0.415, p < 0.001). Perceived ease of use had both direct and indirect positive effects on electronic community health information system acceptability (β2 = 0.340, p < 0.001 and β1*β3 = 0.289, p < 0.001, respectively), while acceptability had a direct and positive effect on the use of the electronic community health information system (β3 = 0.297, p < 0.001).ConclusionsDespite the very high acceptability of the electronic community health information system among health extension workers, actual use of the system is considerably lower. Hence, an integrated and coordinated approach is required to close the acceptance-use gap.

Data Governance Model For Nation-Wide Non-Profit Organization

According to Connolly's (2017) research, the context of nonprofit organizations exhibits variations when compared to commercial organizations or businesses, as supported by Zhang's (2010) study. Hence, it is imperative for both theoretical and empirical studies to contribute towards enhancing our comprehension of the strategy, implementation, and utilization of information systems in the specific context of nonprofit organizations. The investigation of information systems within the context of non-profit organizations offers a promising avenue for advancing the field of information systems research. This study focuses on the development of an information systems framework using the soft systems methodology, which has already been established. One opportunity for the advancement of information systems in non-profit organizations lies in the establishment of a comprehensive framework that facilitates adoption and is accompanied by robust data governance. This framework enables the analysis of data and the generation of valuable insights, thereby contributing to the development of information systems in the non-profit sector. The choice of data governance was informed by Zhang's (2010) research, which demonstrated that non-profit organizations face significant obstacles in the form of privacy and data security concerns. Furthermore, it is apparent that the preservation of data privacy plays a crucial role in the acceptance and utilization of information systems within non-profit entities. This research aims to contribute to the resolution of the issue by establishing a governance framework for information systems that effectively communicates to users the absence of data privacy risks associated with the systems employed by organizations. The objective of this study is to create a data governance model that will fill the research gap mentioned earlier and make a valuable contribution to the field of information systems research. The formation of the data governance model will involve the integration of soft systems methodology and the DAMA framework. The outcome of this study will be a data governance model specifically designed for a nationwide non-profit organization that utilizes microservices as its cutting-edge technology.

Implementasi Model TAM pada Sistem Informasi Presensi Online Menggunakan Face Recognition dan GPS

This study aims to analyze system user acceptance of online attendance information systems with face recognition and GPS using the variables Perceived Ease of Use, Perceived Usefulness and Attitude toward Using contained in the TAM model. (Technology Acceptance Model). Respondents used as many as 45 people consist of teachers, teaching staff and students. Questionnaires were used to obtain data that had been tested for validity and reliability which were then analyzed using multiple linear regression techniques. The results of the analysis of the 1st regression equation show that the variable Perceived Usefullness (X1) has a significant influence on the variable Attitude toward Using (Y) with a t count of 4.114 with a significance of p = 0.000 (&lt;0.05). The variable Perceived Ease of Use (X2) has a significant effect on the variable Attitude Toward Using (Y) with t count 2.898 with a significant p = 0.010 (&lt;0.05). The results of the analysis of the second regression equation show that the variables X1 and X2 together have a significant effect on Attitude toward Using (Y) because the statistical value F count = 23.556 with a significance p = 0.000 (&lt;0.05).

A Data-Driven Paradigm for a Resilient and Sustainable Integrated Health Information Systems for Health Care Applications.

Many transformations and uncertainties, such as the fourth industrial revolution and pandemics, have propelled healthcare acceptance and deployment of health information systems (HIS). External and internal determinants aligning with the global course influence their deployments. At the epic is digitalization, which generates endless data that has permeated healthcare. The continuous proliferation of complex and dynamic healthcare data is the digitalization frontier in healthcare that necessitates attention. This study explores the existing body of information on HIS for healthcare through the data lens to present a data-driven paradigm for healthcare augmentation paramount to attaining a sustainable and resilient HIS. Preferred Reporting Items for Systematic Reviews and Meta-Analyses: PRISMA-compliant in-depth literature review was conducted systematically to synthesize and analyze the literature content to ascertain the value disposition of HIS data in healthcare delivery. This study details the aspects of a data-driven paradigm for robust and sustainable HIS for health care applications. Data source, data action and decisions, data sciences techniques, serialization of data sciences techniques in the HIS, and data insight implementation and application are data-driven features expounded. These are essential data-driven paradigm building blocks that need iteration to succeed. Existing literature considers insurgent data in healthcare challenging, disruptive, and potentially revolutionary. This view echoes the current healthcare quandary of good and bad data availability. Thus, data-driven insights are essential for building a resilient and sustainable HIS. People, technology, and tasks dominated prior HIS frameworks, with few data-centric facets. Improving healthcare and the HIS requires identifying and integrating crucial data elements. The paper presented a data-driven paradigm for a resilient and sustainable HIS. The findings show that data-driven track and components are essential to improve healthcare using data analytics insights. It provides an integrated footing for data analytics to support and effectively assist health care delivery.

Consumers' Digital Wallet Adoption

This empirical study aims to examine what drives consumers' behavioral intention to adopt digital wallet by integrating task technology fit theory into UTAUT model. For this purpose, 700 samples were approached through emails, out of which 479 valid responses were solicited. To test and validate the proposed research model, CFA and SEM were performed using AMOS 20. The results of this study highlighted that task technology fit emerged as one of the significant factors among all factors included in the model with direct and indirect effect on behavioral intention. More interestingly, effort expectancy, hedonic motivation, and cost are found to be other significant predictors of consumers' digital wallet adoption. The outcomes of this study provide valuable insights for digital wallet service providers, system developers, and governments for their strategic decision to enhance the adoption of digital wallet in the upcoming digital era. This study contributes specifically in the area of digital wallet adoption and information system acceptance in general.

Structural Equation Model of Performance Acceptance of the Online Central Information System Affecting Interest in Buddhist Tourism

The online central information system for tourism promotion is critical; therefore, this research and development effort aimed to develop the structural equation model of performance acceptance of the online central information system affecting interest in Buddhist tourism and to verify the results of the structural equation model of performance acceptance of the online central information system affecting interest in Buddhist tourism. The target group testing this online central information system was 424 volunteers who were tourists. The research instruments included a questionnaire, an observation, and an in-depth interview. The quantitative data obtained were analyzed using descriptive statistics and Pearson’s correlation coefficient. The analysis aimed to verify the model with empirical data and examine both direct and indirect effects through the LISREL program. The results of the study are as follows: 1) The development of a structural equation model of the performance acceptance of the online central information system affecting the interest in Buddhist tourism consists of two extraneous variables, namely the design of the online central information system (EN), whose indicators are developed based on the value proposition. There are four indicators, namely essential basic information, information that meets the requirements, information that clearly reflects the identities of the temple and meditation center, and the organization of the structure that is modern. The other variable is the efficacy of online central information system (EX), the indicators of which are developed using the technology acceptance model. There are five indicators, namely ease of use as the online system can be opened from many devices, convenience to use as the online system can be opened at any time, security in use, and provision of clear and useful information for Buddhist tourism. There are two endogenous variables, one is attitude change (TA) with four indicators, namely perceived importance of Buddhist tourism, classification of Buddhist tourism routes that reflect valuable resources of Buddhism, inspiration for Buddhist tourism, and gaining ideas for planning Buddhist tourism. The other endogenous variable is interest in Buddhist tourism (IN), which includes four indicators: interest in using the system to find Buddhist tourist attractions, interest in sharing the online system with friends and acquaintances, interest in temple tourism, and interest in meditation; 2) The structural equation model of performance acceptance of the online central information system affecting interest in Buddhist tourism is developed and fits with the empirical data (Chi-square = 102.78, df = 81, p = .051, GFI = .972, AGFI = .948, RMR = .032). The endogenous variable of interest in Buddhist tourism (IN) accounts for 95.90%, indicating that all variables, i.e., the design of the online central information system (EN), the efficacy of the online central information system (EX), and attitude change (TA), have an effect on interest in Buddhist tourism (IN), with the factor of attitude change acting as a mediator.