Acceptance Of Information Systems Research Articles

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.

Evaluation of hospital information system acceptance from the point of view of users of teaching hospitals of Ahvaz Jundishapur University of Medical Sciences according to the information technology usage model

Introduction: The hospital information system is an electronic tool that collects, classifies, stores and retrieves the financial, administrative and clinical information of patients using computer capabilities and provides them to decision makers at any place and time. The present study was conducted with the aim of evaluating the acceptance of the hospital information system from the point of view of the users of teaching hospitals of Ahvaz University of Medical Sciences. Method: The present study is descriptive observational. The samples included 270 users of teaching hospitals in Ahvaz. Sampling was done randomly and samples were available. The data collection tool was a standardized questionnaire.An average of less than 2.5 indicates a low acceptance level, an average of 2.5 to less than 3.75 is considered an average acceptance level, and an average greater than 3.75 to 5 indicates a favorable level of HIS acceptance by users Results: The average variables of the questionnaire in terms of task support dimension, user interface, support for interdisciplinary cooperation and support service dimension are 4.42, 4.05, 4.64, 4.25, respectively, which indicates the level of acceptable acceptance. And in the dimensions of adaptability to tasks, learning ability, and accessibility, respectively, 3.73, 3.07, and 3.59, which indicate the average level of acceptance Conclusion: Officials can increase user satisfaction by providing appropriate platforms in terms of accessibility and learning capabilities, and also by improving hospital information systems, they can significantly save time and increase the quality of services provided in the health care sector

Intention to Adopt Intelligent Clothing in the Fashion Retail Industry: Extending the HISAM Model with Technology Readiness

As technology and science expand from the palms of our hands into the sleeves of our shirts, the future of fashion textiles becomes almost unimaginable. The emerging technology related to the integration of the IoT and AI has resulted in intelligent clothing in the fashion retail industry. Intelligent clothing technology can be defined as a result of transformation of fabric into digital technology by bridging fashion and the IoT with newly developed material technologies. However, recent studies on intelligent clothing have been few and far between, and scholars have focused more on organizations’ intention to adopt intelligent clothing technology rather than customers’ intention to use it. The current research fills this gap by applying the Hedonic Information Systems Acceptance Model (HISAM) to determine the practical and aesthetic factors influencing consumers’ propensity to use intelligent clothing. Furthermore, technology readiness has been investigated as a technology-related personality trait acting as a moderator in the research model. Accordingly, a quantitative survey strategy was undertaken and responses from a representative sample of 836 Sri Lankan retail consumers were analysed using Smart PLS-SEM. The results reveal that perceived ease of use, perceived usefulness and perceived enjoyment positively influence intention to use artificially intelligent clothing, whilst technology readiness interestingly moderates their impact on the intention to use AI clothing. The findings have theoretical and practical implications for marketing scholars and practitioners and point to several future research directions as well.

Reliability and Validity Analysis of the Korean Version of the Affinity for Technology Interaction Scale.

This study aimed to translate the affinity for technology interaction (ATI) scale into Korean and examine its validity and reliability to measure nurses' interactions and affinity with digital healthcare. Data from 154 nurses employed by general hospitals were analyzed. This developmental and psychometrical evaluation of the ATI scale included a translation, a pilot test, and psychometric properties. Concurrent validity, content validity, construct validity, and reliability testing were completed. The corrected item-total correlation was below the standard of 0.3, and the content validity index was >0.8. The Kaiser-Meyer-Olkin and Bartlett sphericity test values were 0.81 and Χ2 = 496.25 (p < 0.001), respectively. The exploratory factor analysis (EFA) result was extracted as two factors, with an overall variance of 60.52%. The correlation between the ATI scale and the Quality Improvement Information System acceptance tool was examined to confirm concurrent validity and showed a significant correlation. Cronbach's α was 0.75, indicating adequate reliability. ATI's internal, construct, and concurrent validity demonstrated its suitability as a tool. Therefore, assessing nurses' information and communication technology proficiency and developing strategies for boosting it would be possible.

DEVELOPMENT OF HOSPITAL RESERVATION INFORMATION SYSTEM WITH UDC METHOD AND SUS TESTING

Information system is a system that combines technology used to help human life. Not only helps facilitate information sistem activities, it also saves time, space and costs. Utilization of a website is useful in all fields because there are many and very broad and user-friendly features that can spoil the user's eyes. Activities that function to meet the needs of the general public are the meaning of public services as well as those related to other commodities such as goods, services and management provided by the organizers. In the health sector in public services, it is very necessary, especially in the service reservation process which still uses a queuing sistem in the form of taking queue numbers in the hospital lobby and waiting for hours, causing queues of visitors. The purpose of this study was to design a reservation information system at the hospital in order to increase the use of facilities and resources. The design of this hospital reservation information system is based on a website that was built using the user centered design method and tested using the SUS (Sistem Usability Scale) method which is in accordance with the criteria for the Sistem Usability Scale method which involves several respondents for information system acceptance

EVALUSI SISTEM INFORMASI PELAYANAN PERIZINAN BERUSAHAAN SEKTOR INDUSTRI MELALUI ONLINE SINGLE SUBMISSION BERBASIS METODE TECHNOLOGY ACCEPTANCE MODEL DI DPM PTSP KABUPATEN GRESIK

The Online Single Submission (OSS) system has a very positive impact on business actors in making permit applications faster and simpler. The application of the OSS system requires an evaluation regarding the acceptance of the system. This is done so that it becomes a benchmark to assess the acceptance of an information technology by users. This research is motivated to analyze the acceptance of the Online Single Submission (OSS) information system using the Technology Acceptance Model (TAM). This method uses the TAM method, namely the user's perception of the ease of using technology (Perceived Ease of Use), the user's perception of the benefits / usefulness of technology (Perceived Usefulness), acceptance of information systems (Acceptance of IT) accepted by the community. This research was conducted by t-test and F-test. The results of the analysis show that the significant value in hypothesis-1 and hypothesis-2 indicates that the significance value is more than 0.05, which means that variable X has a significant effect on variable Y.

Analysis of Receiving Surveillance Information System for Public Health Centre (SISPHEC.ID Application) using Technology Acceptance Model (TAM) at Kuningan District, Indonesia

One of the vigilance efforts against the next stage of the COVID-19 pandemic is the strengthening of surveillance information systems. The use of the Public Health Centres surveillance information system (Sisphec.id) is important in determining policies, but it needs to be tested for acceptance. The purpose of this study is to examine the use and acceptance of the Public Health Centre surveillance information system for COVID-19 with applications in Kuningan Regency. This research is a quantitative descriptive study, conducted in Kuningan Regency from October 26 to November 26, 2022. The population was 37 Public Health Centre surveillance officers and a sample of 20 respondents. Descriptive data analysis with Tableau public application and STATA 16. Result: perceived Ease of Use for applications is 85% is perceived as good, the perceived usefulness is 65% perceived as good, the social factor of users related to the application is 85% perceived, the behavioural interest variable for using the application is 90% is perceived as good, facility conditions affecting users, 90% perceived as good, usage behaviour 65% is perceived as good. The conclusion is most perceived as good for all TAM indicators namely Perceived Ease of Use, perceived usefulness, social factor variables of users, behavioural interest, and variable facility conditions affecting users and user behaviour. The recommended application sisphec.id can be used to support the Covid-19 surveillance system at Public Health Centre in Indonesia.

SISTEM INFORMASI PENERIMAAN CALON TENAGA KERJA INDONESIA PDA PT DEWI PENGAYOM BANGSA KABUPATEN PATI

&#x0D; One form of service in PT Dewi protector Nations Pati regency receive prospective workers to some of Taiwan, Hongkong, Singapore often have difficulty including data management is still done manually, the amount of data they accumulate, requiring a lot of space to save the files prospective migrants and the length of the search data. The system developed is expected to address the various issues of labor recruitment Indonesia. The system is designed with modeling UML (Unified Modeling Language) and programming languages PHP. The result of this design produces Candidate Information System Acceptance Indonesian Workers at PT Dewi protector Nation Pati regency.&#x0D; &#x0D;

Service quality model analysis on the acceptance of information system users’ behavior

Website technology have created both opportunities and challenges for higher education. Information systems as online learning medium need to pay attention to access, quality and user needs in order to improve the quality of e-learning services. The research objective is to determine user acceptance of the system. The service quality method as identification in solving problems. The research focus on the analysis of five dimensions namely measurable, reliability, responsiveness, assurance and empathy. The research was conducted at the research college at Muria Kudus University. The results state that the assessment model of a system on the website can be completed properly. The level of effectiveness is carried out with respondents as users through the distribution of questionnaires. The results of the analysis with a statistical correlation performance test of 0.985 were declared accepted with a validity level of 97% indicating that the success of the system implemented was from the acceptance side. The higher the empathy with service quality and performance expectations, the greater the student's intention to receive online education services. This research is a reference for developing information systems on e-learning.

What Google-based data can tell us about information systems theory: A review

The aim of this study is to examine the attention and acceptance of popular information systems (IS) theory. Both Google Scholar (GS) and Google Trends (GT) data related to popular IS theories from 2006 to 2020 are collected. The study provides an overview of popular IS theories and tests the pair data to show changes in GS’s total publications and GT’s public interest. Correlation analyses are conducted to investigate the relationships between GS and GT data, as well as between GS and GT data. Trend analysis reveals that there are certain IS theories that researchers and practitioners should pay attention to. In addition, this study provides an overview of recent and future directions in this field. Despite the significant increase in research using Google data, the use of big data to explore the interests and applications of IS theories has been rarely explored.

Ten years of research mined for security and privacy concerns of health information system adoption and acceptance: coherent taxonomy, motivations and open challenges

This survey provides a taxonomy of the privacy and security factors influencing the acceptance of health information systems (HIS) and classifies these factors into motivation and limitations of HIS acceptance. We implemented a focused search for each article on (1) HIS (2) acceptance or adoption (3) privacy or security, in six main databases. Results: The final set included 65 articles. Most of the articles (50.76%; 33/65) are empirical studies that refer to the user perspective about privacy and security of HIS and adopt a specific theory of technology acceptance model. The next largest portion of articles (36.92%; 24/65) is reviews and surveys articles, which indicate to explain the existing HIS for a certain system, privacy, and security to provide a general review. The smallest and last section of the work (12.30%; 8/65) refers to proposals for frameworks or models. This review highlights the frequent of privacy and security factors influencing the acceptance and adoption of HIS.

Ten years research mine for security and privacy concerns of health information systems adoption and acceptance: Coherent taxonomy, motivations and open challenges

Ten years research mine for security and privacy concerns of health information systems adoption and acceptance: Coherent taxonomy, motivations and open challenges

Unraveling the Key Factors of Successful ERP Post Implementation in the Indonesian Construction Context

Aim/Purpose: This study aims to evaluate the success of ERP post-implementation and the factors that affect the overall success of the ERP system by integrating the Task Technology Fit (TTF) model into the Information System Success Model (ISSM). Background: Not all ERP implementations provide the expected benefits, as post-implementation challenges can include inflexible ERP systems and ongoing costs. Therefore, it is necessary to evaluate the success after ERP implementation, and this research integrates the Task Technology Fit (TTF) model into the Information System Success Model (ISSM). Methodology: For data analysis and the proposed model, the authors used SmartPLS 3 by applying the PLS-SEM test and one-tailed bootstrapping. The researchers distributed questionnaires online to 115 ERP users at a construction company in Indonesia and successfully got responses from 95 ERP users. Contribution: The results obtained will be helpful and essential for future researchers and Information System practitioners – considering the high failure rate in the use of ERP in a company, as well as the inability of organizations and companies to exploit the benefits and potential that ERP can provide fully. Findings: The results show that Perceived Usefulness, User Satisfaction, and Task-Technology Fit positively affect the Organizational Impact of ERP implementation. Recommendations for Practitioners: The findings can help policymakers and CEOs of businesses in Indonesia’s construction sector create better business strategies and use limited resources more effectively and efficiently to provide a considerably higher probability of ERP deployment. The findings of this study were also beneficial for ERP vendors and consultants. The construction of the industry has specific characteristics that ERP vendors should consider. Construction is a highly fragmented sector, with specialized segments demanding specialist technologies. Several projects also influence it. They can use them to identify and establish several alternative strategies to deal with challenges and obstacles that can arise during the installation of ERP in a firm. Vendors and consultants can supply solutions, architecture, or customization support by the standard operating criteria, implement the ERP system and train critical users. The ERP system vendors and consultants can also collaborate with experts from the construction sector to develop customized alternatives for construction companies. That would be the most outstanding solution for implementing ERP in this industry. Recommendation for Researchers: Future researchers can use this combined model to study ERP post-implementation success on organizational impact with ERP systems in other company information systems fields, especially the construction sector. Future integration of different models can be used to improve the proposed model. Integration with models that assess the level of Information System acceptance, such as Technology Acceptance Model 3 (TAM3) or Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), can be used in future research to deepen the exploration of factors that influence ERP post-implementation success in an organization. Impact on Society: This study can guide companies, particularly in the construction sector, to maintain ERP performance, conduct training for new users, and regularly survey user satisfaction to ensure the ERP system’s reliability, security, and performance are maintained and measurable. Future Research: It is increasing the sample size with a larger population at other loci (private and state-owned) that use ERP to see the factors influencing ERP post-implementation success and using mixed methods to produce a better understanding. With varied modes, it is possible to get better results by adding unique factors to the research, and future integration of other models can be used to improve the proposed model.

Analysis Affect Factors of Smart Meter A PLS-SEM Neural Network

Smart electricity meters measure, control, analyze, and predict the amount of electricity used. Do the same for water and gas power. Automatically svae this monitoring data to the energy provider, for billing and tracking services. In developed countries, there has not been a consensus to accept the use of smart electricity meters, in addition to the benefits mentioned above, there are many possible risks when using smart meters. This paper examines information technology system (IS) related factors and engineering model related factors following technical readiness such as optimism, innovation insecurity, and discomfort. Accompanying that is the expectation of a smart meter, for the Vietnamese people’s intention to continuously use smart meters. The oriented approach is applied to evaluate the intention model of continuous use of smart meters, through the survey results of 500 answer samples of Vietnamese people. We propose to use a 2-layer research model to analyze the results of the user survey about the smart meter system. Most of the previous studies on smart meter systems focused on analyzing the impact of factors affecting applications, using single-step Structure Equation Modeling (SEM). The purpose of this study based on the Technology Acceptance Method (TAM) theory, describes the Artificial Neural Network (ANN) method to perform indepth analysis, yielding more accurate results than the SEM model. The study measures the relationship between the readiness for new technologies (optimision, innovation, discomfort, and insecurity). Technology acceptance (Perceived ease of use, Perceived usefulness). Expectations confirmed and Information systems acceptance (service quality, system quality, and information quality). This paper outlines the research model of the multi-analysis approach by combining Partial Least Squares Structure Equation Modeling (PLS-SEM) and Artificial Neural Network (ANN) analysis. First, the PLS-SEM model evaluates the factors affecting the intention to use the smart meter system. Second, ANN ranks the impact factors of important predictors from the PLS-SEM model. The findings from the PLS-SEM and ANN approach research model confirm the results obtained from PLS-SEM by ANN. In addition, ANN performs linear and non-linear relational modeling with high prediction accuracy compared with the SEM model. In addition, an Importance Performance Map Analysis (IPMA) analyzes the results accurately for factors’ important performance.

Role of Training for Successful Use of Audit Tool Software

This study examined the antecedent variables of using audit software tools to assist the auditor in completing tasks. Data were collected by distributing 303 questionnaires to auditors in Indonesia, while the technology acceptance model was used as the basis for constructing the required hypothesis. The returned questionnaires were tested for validity and reliability at the trial stage and after data collection. The data collected was analyzed using SmartPLS Ver.3.2.9 software, a structural equation modeling approach. The result showed that thirteen hypotheses were tested, of which four were rejected and nine were accepted. Furthermore, auditors' acceptance of new information systems depends on anxiety level, ease of use, and understanding of the application's usefulness. Hence, parties interested in using the audit software must conduct intensive introduction and training, which are critical to its successful implementation. Training reduces anxiety and increases computer intellectual capital and ease of use, which are important for the possible acceptance of a new system. Appropriate training reduces auditors' anxiety about using new applications and increases their intellectual capital. It will reduce paradox in conditions where investment in information systems is expensive but has low returns. The three-stage Sobel test concludes anxiety and intellectual capital are intervening variable, therefore, implementing the application in a hurry will reduce its actual usage.

Employee Acceptance of E-Health and Its Implication for Performance in Specialist Hospitals in Ondo State, Nigeria

The study examined e-health (ICT) acceptance on employee performance in Ondo State specialist hospitals. The study investigated the challenges facing acceptance of e-health by employees of state specialist hospitals and also examined the effect of acceptance of e-health on the performance of employees in state specialist hospitals. The purpose was to access how ehealth can help improve service delivery in teaching hospitals in the study area. The work is anchored on the Technology Acceptance Model (TAM) which is an adoption model focusing on users’ acceptance of information systems or computer technologies. The aim of this theory is to describe factors that determine technology acceptance and information technology usage behavior. Primary data was used for the study. The questionnaire was used for the collection of data. The number of respondents for the study is 318. Descriptive and inferential statistics were used for data analysis. The research findings using descriptive analysis showed that a lot of challenges exist and affect the degree of acceptance of e-health by the employees in the study area. The result also showed that e-health (ICT) acceptance has a positive significant effect on employee performance in the state specialist hospitals in the study area. The hypothesis stated was tested at a 0.05 level of significance to determine the effect of e-health acceptance on employees’ performance using regression analysis and it was rejected because the pvalue was less than 0.05 (Beta=0.208, t=7.149, Sig=0.000, p&lt;0.05). The study, therefore, concludes that there are challenges that affect the acceptance of ehealth (ICT) and that there is a significant positive effect of e-health acceptance and performance of employees in the state specialist hospitals in Ondo State, Nigeria.

A Adaptation Analysis of Education and Training Information System Acceptance with Technology Acceptance Model Approach

Kondisi pandemic Covid-19 memberikan dampak yang signifikan dalam berbagai aspek pada kehidupan manusia. Seluruh aspek dimulai dari perubahan cara kerja manual kearah digitalisasi, salah satunya penerapan sistem informasi yang mendukung sumber daya manusia di rumah sakit dalam mengikuti perubahan ini. Penerimaan dalam menerapkan sistem informasi baru seperti Sistem Informasi Pendidikan dan Pelatihan Online di rumah sakit yang tidak memenuhi harapan pengguna mampu menimbulkan ketidaknyamanan pengguna sistem yang berdampak pada kinerja pegawai rumah sakit. Untuk mengantisipasi hal tersebut diperlukan pemahaman terkait faktor-faktor dasar yang berkontribuksi mempengaruhi penerimaan dalam implementasi sistem informasi diklat online dengan menggunakan pendekatan Technology Acceptance Model (TAM). Penelitian ini bertujuan untuk mengetahui gambaran evaluasi penerimaan sistem informasi diklat online dengan pendekatan model TAM di Rumah Sakit Umum X Denpasar. Analisis yang digunakan dalam penelitian ini menggunakan Partial Least Square (PLS) dengan jumlah responden sebanyak 99 responden yang menggunakan sistem yang diukur. Hasil evaluasi model TAM menunjukkan bahwa penerimaan sistem informasi diklat online memiliki penilaian yang positif dilihat dari sikap pengguna dalam merespon penerimaan teknologi baru.

Analysis Of Factors Affecting The Acceptance Of Hospital Information System Using Utaut Method In Budi Kemuliaan Hospital Batam Year 2021

The acceptance of the hospital information system using the UTAUT method at the Budi Kemuliaan Hospital Batam in 2021 is still a complaint and the computer-based SIMRS is not running optimally. The acceptance of the hospital information system using the UTAUT method is related to individual characteristics, performance expectations, business expectations, social and facilities. This study aims to determine the effect of receiving hospital information systems with the UTAUT method at Budi Kemuliaan Hospital Batam. This type of quantitative research with correlational techniques. The population in this study were users of the SIMRS application at Budi Kemuliaan Hospital Batam and a sample of 120 people. The collection of data with primary and secondary data and the data were analyzed by Multiple Regression test. The results showed a positive and significant influence between Hospital Information System Acceptance (individual characteristics, performance expectations/performance expectations, business expectations/business expectations, social influences/social influences, and facilitating conditions/facilitating conditions) on usage behavior/behavior. implementing SIMRS with the UTAUT method at Budi Kemuliaan Hospital Batam and it is recommended that the implementation of SIMRS then need to pay attention to the ease of users in using SIMRS and developers from SIMRS and the hospital need to work together in developing to create a SIMRS with business processes and needs the one in the hospital.

Evaluation of Non-Communicable Disease Information System Acceptance (SI-PTM) using the Technology Acceptance Model (TAM)

Evaluation of Non-Communicable Disease Information System Acceptance (SI-PTM) using the Technology Acceptance Model (TAM)

Analisis Penerimaan Pengguna Sistem Informasi Akademik STIQ Al-Lathifiyyah Menggunakan Task Technology Fit

SIAKAD is applied to obtain all information related to computerized academic activities. One of the initial keys to the success or failure of an application/software implementation is the willingness to accept the technology among users. This study aims to measure the level of user acceptance and user ease of academic information systems and provide efficient and relevant service facilities. To obtain efficient and relevant services, it is necessary to implement a system with the best quality so that it can be accepted by users. One way that can be done is by analyzing user acceptance of academic information systems. In this study the method used is Task Technology fit (TTF). In this study, 4 variables were used, namely Task Characteristics, Technology Characteristics, Task Technology Fit, and Performance Impact. The data in this study were collected through questionnaires distributed to 135 respondents. Analysis of the data used by using the PLS-SEM tool used is SmartPLS version 3.0. The results showed that the task characteristics had no significant effect on the suitability of the task technology fit with a T-Statistics value of 0.847, the technology characteristics had a significant effect on the suitability of the task technological fit with a T-Statistics value of 13,861, and the suitability of the task technology fit had a significant effect on the performance impact with a T value. -Statistics of 5,570. From the test results, it is stated that there is 1 accepted hypothesis and 2 rejected hypotheses. The overall results of this study indicate that the acceptance of the use of SIAKAD STIQ Al-Lathifiyyah Palembang using the Task Technology Fit (TTF) Model has an effect of 97.3%. From this percentage, it can be concluded that SIAKAD STIQ Al-Lathifiyyah Palembang has been accepted and has been used by users, namely students, lecturers, and admins.