Effects Of Perceived Ease Of Use Research Articles

Factors that Affect Patients’ Use of the Santri Application in the Hospital in Sidoarjo

This study aims to identify the variables influencing the utilization of the SANTRI application at Sidoarjo Hospital. Cross sectional research design for observations. The Technology Acceptance Model (TAM) questionnaire used in the collection is standard, 95 respondents make up the population, which is limitless. According to the findings, the highly accepted group includes the following: 76% perceived usefulness (PU), 76% perceived ease of use (PEU), 82% attitude towards adopting technology, and 80% behavioral intention to use (BU). These four elements’ effects on actual technology usage (ATU) were investigated in part, with the following findings: effect of PU on ATU = 0.001, effect of PEU on ATU = 0.016, effect of AT on ATU = 0.043, and effect of BU on ATU = 0.011. When four test values are 0.05, a substantial effect has been found. Significant findings (Sig = 0.000) were achieved when the four variables were tested simultaneously on the ATU variable. It can be said that the perceived utility, perceived simplicity, attitude toward utilizing technology, behavioral intention to use, and actual usage of technology all have an impact on how the SANTRI application is used in Sidoarjo Hospital.

Elucidating the role of gender differences via TAM in e-recruitment adoption in India: a multi-group analysis using MICOM

PurposeThis paper aims to answer two research questions: first, to study the factors that directly and indirectly influence the intentions of job-seekers and second, to examine the moderating role of gender differences in e-recruitment adoption through the application of technology acceptance model (TAM) in India.Design/methodology/approachA convenience sampling technique was used to collect online data via GoogleDocs through various online channels such as social media, LinkedIn and email. The final data was collected from 364 final-year graduates and postgraduate students to confirm the impact of female and male differences, measurement invariance in composite models (MICOM) and multi-group analysis (MGA).FindingsThe results indicated that perceived usefulness (PU) and perceived ease of use (PEOU) have a direct impact on attitude (AT), whereas PU influenced behavioral intentions (BI) of job-seekers, but PEOU did not. AT directly leads to the BI. The outcomes of mediation analysis show that AT partially mediates the relationships between PU to BI and PEOU to BI. Further, the findings of MICOM and MGA showed that gender significantly moderates all the relationships between the constructs except for the influence of AT on BI.Research limitations/implicationsThis study contributes to the current literature, revealing that the original TAM model is still pertinent and effective in prevailing periods in emerging markets. The significance of PEOU and PU on AT and BI implies that job-seekers will strongly adopt e-recruitment when it is user-friendly and assist them to accomplish their tasks easily and efficiently. Moreover, gender has a vital moderating influence in e-recruitment adoption. In the case of females, the effect of PEOU is stronger, and for males, PU has a substantial impact on adoption.Practical implicationsDevelopers and recruiters should provide significant information related to salary, location and job profile on e-recruitment to enhance the adoption rate of online recruitment. Further, the usefulness of e-recruitment systems was more significant for males compared to females, whereas female job-seekers prefer the e-recruitment system, which is easy to use and operate.Originality/valueThis research fills a gap in the literature by examining the essential factors affecting the BI of job-seekers as well as empirically testing the impact of gender differences to adopt TAM for e-recruitment – an under-explored subject in developing countries like India.

Do the Preceding Self-service Technologies Influence Mobile Banking Adoption?

The study aims to identify the role of preceding self-service technologies (SSTs) in the adoption of mobile banking (m-banking). More specifically, the study examines the impact of attitude (AT), perceived usefulness (PU) and perceived ease of use (PEOU) of online banking (o-banking) and ATM in the adoption of m-banking. By using the non-probability purposive sampling technique, the data was gathered through a structured questionnaire from the non-users of m-banking. The partial least square-structural equation modeling (PLS-SEM) technique was employed on 257 useful responses to assess the hypotheses. The findings provided evidence that the AT towards ATMs and o-banking significantly affects the AT towards m-banking (ATMB). Moreover, the PEOU of ATM and o-banking significantly affects the PEOU of m-banking. However, in the case of PU, only the usefulness of o-banking affects the usefulness of m-banking. The results also reveal that the AT, PEOU and PU of m-banking affect the intention to adopt m-banking (IMB). The study benefits the banking industry as it provides insights on how banks can use their preceding SSTs in developing a consumer’s intention to use m-banking. This is one of the early studies that considers the effect of PEOU and PU of previous SSTs on the adoption of m-banking. The multi-channel perspective, that is, ATMs and o-banking in the adoption of m-banking, also offers additional valuable insights and contributes to the literature of technology adoption. In the past, studies have not focused on the spillover effects of preceding SSTs. However, mature channels could be used in boosting a new channel.

Investigation of information sharing via multiple social media platforms: a comparison of Facebook and WeChat adoption

This study evaluates different antecedents affecting information sharing via multiple social media platforms on a large scale. In doing so, this research compares the effects of information sharing behavior factors via Facebook and WeChat adoption. The respondents were international students studying in two Chinese universities and are the frequent users of both social media platforms. At first, quantity data has been collected through an online survey. Second, in-depth interviews were conducted to get qualitative data. To test our model and hypotheses multigroup analysis and content analysis were used. All exogenous variables such as perceived usefulness (PU), perceived ease of use (PEOU), Technological innovation (INNO) and information sharing attitude (ATT) have a positive effect on information sharing behavior (BEH). In addition, the results indicated no difference effects of PU and ATT via multiple social media platforms (WeChat and Facebook). However the effect of PEOU on information sharing attitude varied via social media platforms (WeChat and Facebook). The author found positive and stronger relationship between PEOU and ATT which is significant for Facebook only. On the other hand, the positive relationship between INNO and ATT is significant and stronger for WeChat only. We found the least research about information sharing behavior via multiple social media platforms. Besides, this study describes the patterns of information sharing on Facebook and WeChat, simultaneously.

The Effect of Perceived Usefulness and Perceived Ease of Use on the Technology Acceptance Model to Use Online Travel Agency

Perceived Usefulness (PU) and Perceived Ease of Use (PEU) are factors that can affecting Behavioural Intention (BI) in the Technology Acceptance Model (TAM). This study aims to determine the effect of PU and PEU on BI of PT XYZ users. This research is a non-experimental study using quantitative methods and a random sampling technique. Data were collected through a questionnaire and processed using Statistical Product and Service Solution (SPSS) with a version of 22.00. There were 80 participants in the research, divided into 58 participants who were PT XYZ users and 22 other participants who had never used PT XYZ. The results showed that there was a significant effect of PU and PEU on BI with a value of F = 95.483, R2 = 0.713, and p = 0.000 < 0.05. The contribution of PU and PEU to PEU was 71.3%. Then, partially PU contributed 62.4% and PEU contributed 68.9% to BI. Thus, it can be concluded that for PT XYZ users, the effect of PEU is greater than PU.

TAM as a Model to Understand the Intention of Using a Mobile-based Cancer Early Detection Learning Application

<p class="0abstract">Technology Acceptance Model (TAM) framework was utilized in this study. Its purpose was to determine the correlation between independent variables consisting of Perceived Ease of Use (PEU), Perceived Usefulness (PU), Attitude toward Using (AU) with dependent variable Behavioral Intention to Use (BIU). Data collection techniques were carried out by distributing questionnaires through group discussion forums. Respondents consisted of medical workers and health cadres both in Jakarta and Yogyakarta. Data were analyzed using correlation test and t-test. The results of the correlation test state that the correlation between PEU and AU is 0.30, which shows a weak correlation. Meanwhile, the correlation of PU and AU is 0.56, PEU and BIU is 0.41, and PU and BIU is 0.47, which are considered as moderate correlations. Finally, a strong correlation exists between AU and BIU. T-test results show that the effect of PU on AU is statistically significant with CI = 95%. Likewise, the effects of PEU on AU, AU towards BIU, PU towards BIU, and PEU towards BIU are significant (p < 0.05).</p>

Examining Users' E-Satisfaction in the Usage of Social Networking Sites; Contribution from Utilitarian and Hedonic Information Systems

E-satisfaction (eSAT) is an important success factor of online service providers such as social networking sites (SNSs). The utilitarian and hedonic information systems are crucial in determining users' eSAT of SNSs, especially among young users. The utilitarian aspect of an information system is productivity-oriented which aims to enhance the users' task performance, and it is important in measuring eSAT of SNSs. In this study, the original constructs of Perceived Ease of Use (PEOU) and Perceived Usefulness (PU) of TAM of utilitarian information system was first developed in this research framework. The use of SNSs, such as Facebook, is pleasure-oriented, in which self-fulfilling values to the users are important in determining users' satisfaction towards the SNSs. Therefore, Perceived Enjoyment (PE) of hedonic information system is added to the framework. Thus, the research framework of this study includes both utilitarian (PEOU and PU) and hedonic (PE) aspects of information systems to determine Malaysian young users' eSAT in the usage of Facebook, a social networking site. In this framework, the effects of PEOU, PU and PE on eSAT in the usage of Facebook are examined among Facebook's users in the age of 18 – 24 years old. The effects of PEOU on PU and PE are also examined. Online questionnaire survey was employed and a total of 384 sets of questionnaires were gathered from users of Facebook. The results indicated that PEOU has positive effects on PU and PE in the context of Facebook. In addition, PEOU, PU and PE are also found to have positive effects on eSAT. PE of hedonic information system exerted higher effect on eSAT, compared to PEOU and PU of utilitarian information system, highlighting the importance of pleasure orientation in the usage of Facebook of SNSs. Managerial and theoretical implications of the study are discussed in term of measuring and enhancing users' eSAT in the usage of SNSs, particularly Facebook.

Taking “Fun and Games” Seriously: Proposing the Hedonic-Motivation System Adoption Model (HMSAM)

Hedonic-motivation systems (HMS) — systems used primarily to fulfill users’ intrinsic motivations — are the elephant in the room for IS research. Growth in HMS sales has outperformed utilitarian-motivation systems (UMS) sales for more than a decade, generating billions in revenue annually; yet IS research focuses mostly on UMS. In this study, we explain the role of intrinsic motivations in systems use and propose the Hedonic-Motivation System Adoption Model (HMSAM) to increase understanding of the adoption of HMS. Instead of a minor, general TAM extension, HMSAM is a HMS-specific system acceptance model grounded in an alternative theoretical perspective grounded in flow-based cognitive absorption (CA). The HMSAM extends van der Heijden’s (2004) model of hedonic system adoption by including CA as a key mediator of perceived ease of use (PEOU) and behavioral intentions to use (BIU) hedonic-motivation systems. Results from experiments involving 665 participants confirm that in a hedonic context, CA is a more powerful and appropriate predictor of BIU than PEOU or joy, and that the effect of PEOU on BIU is fully mediated by CA sub-constructs. This study lays a foundation, provides guidance, and opens up avenues for future HMS, UMS, and mixed-motivation system research.

Internet use intention and adoption among Chinese older adults: From the expanded technology acceptance model perspective

The purpose of this paper is to discuss how various factors intertwine to affect Chinese older adults’ decisions to adopt the Internet by applying the expanded technology acceptance model (TAM). Perceived usefulness (PU), perceived ease of use (PEU), subjective norm (SN), and facilitating conditions (FC) were four key predictors. Gender and age were included in the proposed model as factors to moderate the effect of two key TAM components (PU and PEU) on adoption behaviors. The results indicate that PU, PEU, and SN were significant predictors of Internet adoption among Chinese older adults, while PU, SN, and FC were significant predictors of Internet use intention. The effect of PEU on Internet use intention was also found to be stronger for older seniors than younger seniors. Implications for future research and practices are discussed.