To Technology Acceptance Model Research Articles

Convenient or Marketing matters? Unveiling the Determinants of Purchasing Decisions in Tokopedia E-Commerce

This paper investigates the determinants of purchasing decision of Tokopedia e-commerce consumers with Gen-Z as a sample. This paper refers to Technology Acceptance Model (TAM) as theoretical framework, where the indicators use in this study combines both convenient matter in purchasing at e-commerce such as Artificial Intelligence (AI) and marketing matters from both digital and non-digital marketing i.e., Islamic Marketing Ethics (IME). This paper employs Structural Equation Model-Pooled Least Square (SEM-PLS). The results show that AI and Digital Marketing (DM) have positive and significant relationship to influence consumers’ decision to purchase in Tokopedia. Meanwhile, IME has positive but non-significant relationship with purchase decision. This paper argues that this is due to the respondents’ knowledge of Sharia compliance in e-commerce transaction and lack of IME indicators socialization by Tokopedia, where Tokopedia already implement some indicators of IME in their feature such as Halal Corner. The result expects to contribute to development of theoretical and practical implication, particularly on Marketing matters both digital and Islamic marketing ethics.

Influencing Factors to Use E-Hailing Transport for Food Delivery Service

E-Hailing servicesare considered as on-demand vehicles that affect the efficiency of food delivery. This system improves the process of collecting and sending orders from customers in a short period of time. This study aims to determine the level of consumer acceptance or satisfaction with food delivery services using the e-Hailing system. The objective of this study is to identify the factors that influence the community to use e-Hailing food delivery services and to determine the most dominant factor in e-Hailing servicesaccording to Technology Acceptance Model (TAM). The location of the study is in the urban area and also semi-urban in the districts of Johor. A self-administrated online questionnaire was distributed among 258 respondents in the study area. Part of the questionnaire was constructed based on the TAM. Correlation and regression analysis were used in the analysis of this study. The results of this study show that the relationship between variables TAM (β = 0.443), perceived ease of use, and perceived usefulness are strongly correlated based on significant values (p < 0.001) showed the independent variable (Intention to Use) influenced the acceptance of user behaviour towards e-Hailing. Among the suggestions to increase consumers of food delivery services amonge-Hailing users is to reduce delivery charges for nearby areas so that consumers can buy food at various stores. This can help other vendors and riders in this e-Hailing food delivery service.

Acceptance of mobile health in medical sciences students: Applying technology acceptance model

IntroductionMobile health (mHealth) is a crucial technology that plays a pivotal role in improving the quality of healthcare services. This study aimed to identify the effective factors in the acceptance of mHealth among medical sciences students in Iran, according to Technology Acceptance Model (TAM). MethodsA cross-sectional study was conducted in 2019, involving students from a medical sciences university in Iran. Participants were selected through simple random sampling, and a total of 300 completed questionnaires were collected. The data were gathered using the standard questionnaire of the TAM. Data analysis was performed using statistical tests such as independent sample t-test, ANOVA analytical tests, correlation, and regression in SPSSv26 software. ResultsThe results show that there was no significant relationship between sex and latent variables (p > 0.05). However, a significant relationship was observed between perceived ease of use (PEU) (p = 0.001) and perceived usefulness (PU) (p < 0.001) with attitude to use (AU), as well as between AU and behavioral intention (BI) (p < 0.001). ConclusionIt is suggested that policymakers consider the PEU and PU of mHealth when designing and implementing it formally for students and healthcare providers as the main mHealth stakeholders.

Disclosing customers' intentions to use social media for purchase-related decisions

PurposeThe present study intends to shed light on behaviour of customers towards usage of social media for purchasing decisions. The study proposes an extension to technology acceptance model (TAM) to analyse the significance of monetary benefits and information reliability on customers' intention to use social media.Design/methodology/approachThe sample was drawn from social media users of north-western region of India (n = 622). The proposed model was tested using exploratory factor analysis and structural equation modelling.FindingsResults indicate that monetary benefits and perceived ease of use have significant influence on customers' intention to use social media, while information reliability and monetary benefits significantly influence only through perceived usefulness.Practical implicationsThe findings are valuable to marketers to acknowledge the potential of social media to reach to masses by providing timely and reliable information. The study also reveals that website/app developers should implement a user-friendly interface and reliable content to influence customers' usage behaviour.Originality/valueThe study is a unique attempt to examine the effect of monetary benefits and information reliability with TAM's key constructs in the context of social media adoption. Studies undertaken aforementioned dimensions are mainly concerned with examining direct contribution of social media and its effect on purchase decisions.

A Near Field Communication-enabled E-Learning Environment for Context-Aware Mobile Japanese Conversation Learning

In this study, we utilised near field communication-enabled smartphones with context-aware technology to propose a context-aware mobile Japanese conversation learning system (CAMJAL) for Taiwanese students. Our proposed CAMJAL system was implemented to record students' learning behaviours between peers in a context-aware computing environment. This system extend perceived convenience as external variable to technology acceptance model (TAM) to analyse its explanatory power and examine antecedent factors that affect acceptance of CAMJAL. Participants were 86 university students with advanced Japanese abilities from the northern part of Taiwan. After conducting CAMJAL with near field communication-enabled smartphones, data was collected by questionnaires. Our experimental results revealed that a) perceived convenience, perceived ease of use, and perceived usefulness were antecedent factors that affect acceptance of CAMJAL; b) perceived ease of use had a significantly positive effect on perceived convenience; c) perceived convenience had a significantly positive effect on perceived usefulness; d) perceived ease of use and perceived usefulness had a significantly positive effect on attitude towards use; and e) perceived ease of use, perceived usefulness, and attitude towards use had a significantly positive effect on behaviour intentions to learning. Overall, the extended TAM was effective in predicting and explaining the acceptance of CAMJAL.

A near field communication-enabled e-learning environment for context-aware mobile Japanese conversation learning

In this study, we utilised near field communication-enabled smartphones with context-aware technology to propose a context-aware mobile Japanese conversation learning system (CAMJAL) for Taiwanese students. Our proposed CAMJAL system was implemented to record students' learning behaviours between peers in a context-aware computing environment. This system extend perceived convenience as external variable to technology acceptance model (TAM) to analyse its explanatory power and examine antecedent factors that affect acceptance of CAMJAL. Participants were 86 university students with advanced Japanese abilities from the northern part of Taiwan. After conducting CAMJAL with near field communication-enabled smartphones, data was collected by questionnaires. Our experimental results revealed that a) perceived convenience, perceived ease of use, and perceived usefulness were antecedent factors that affect acceptance of CAMJAL; b) perceived ease of use had a significantly positive effect on perceived convenience; c) perceived convenience had a significantly positive effect on perceived usefulness; d) perceived ease of use and perceived usefulness had a significantly positive effect on attitude towards use; and e) perceived ease of use, perceived usefulness, and attitude towards use had a significantly positive effect on behaviour intentions to learning. Overall, the extended TAM was effective in predicting and explaining the acceptance of CAMJAL.

English

Among multimedia researches, contribution of cartoons to teaching process and academic achievement has often been examined. However, these technologies may have a slower and less effect since acceptance of them by users is affected by many factors.&nbsp; Therefore, it is extremely important to understand and reveal the factors which encourage teachers who are to choose the most appropriate tool and material for students during teaching period to use cartoons for teaching or restrict their use. To this end, teachers&rsquo; perceptions, attitudes, intentions and behaviors concerning the use of cartoons for teaching were examined and modeled according to Technology Acceptance Model (TAM). As a result of the analyses, data were obtained from 271 teachers who work in several provinces to test its relationship between the variables of perceived benefit, perceived ease of use, attitude towards use, intention of use and actual behavior stated in TAM. The data obtained were analyzed with Structural Equation Modeling (SEM). The results show that the model gives different results from the ones foreseen in TAM. Moreover, it was seen according to the paired comparisons on the model that the only significant difference between females and males is attitude predicting strength of the perceived benefit Key words:&nbsp; Technology acceptance model, structural equation modeling, educational cartoons.

Comparative evaluation of different medication safety measures for the emergency department: physicians’ usage and acceptance of training, poster, checklist and computerized decision support

BackgroundAlthough usage and acceptance are important factors for a successful implementation of clinical decision support systems for medication, most studies only concentrate on their design and outcome. Our objective was to comparatively investigate a set of traditional medication safety measures such as medication safety training for physicians, paper-based posters and checklists concerning potential medication problems versus the additional benefit of a computer-assisted medication check. We concentrated on usage, acceptance and suitability of such interventions in a busy emergency department (ED) of a 749 bed acute tertiary care hospital.MethodsA retrospective, qualitative evaluation study was conducted using a field observation and a questionnaire-based survey. Six physicians were observed while treating 20 patient cases; the questionnaire, based on the Technology Acceptance Model 2 (TAM2), has been answered by nine ED physicians.ResultsDuring field observations, we did not observe direct use of any of the implemented interventions for medication safety (paper-based and electronic). Questionnaire results indicated that the electronic medication safety check was the most frequently used intervention, followed by checklist and posters. However, despite their positive attitude, physicians most often stated that they use the interventions in only up to ten percent for subjectively “critical” orders. Main reasons behind the low usage were deficits in ease-of-use and fit to the workflow. The intention to use the interventions was rather high after overcoming these barriers.ConclusionsMethodologically, the study contributes to Technology Acceptance Model (TAM) research in an ED setting and confirms TAM2 as a helpful diagnostic tool in identifying barriers for a successful implementation of medication safety interventions. In our case, identified barriers explaining the low utilization of the implemented medication safety interventions - despite their positive reception - include deficits in accessibility, briefing for the physicians about the interventions, ease-of-use and compatibility to the working environment.

How to attract Chinese online game users

PurposeThe purpose of this research is to develop and test a model explaining users’ intention to adopt online games in China. Through theories from diverse fields of information systems research, the authors aim to examine and validate antecedents of users’ intentions to play online games.Design/methodology/approachThe model proposes subjective norms and perceived control as antecedents to technology acceptance model (TAM) related beliefs, while suggesting convenience of operator, reality of design, provision of information and sense of belonging as antecedents of flow. The authors study the causal relations between the antecedents and usage intention by using structural equation modeling (SEM) to test the causalities in the proposed model.FindingsThe results indicate that perceived usefulness (PU), perceived ease of use (PEOU), flow and subjective norms are direct predictors of Chinese online games users’ intentions. Subjective norm and sense of belonging are shown to be important predictors of PU, while provision of information reveals an important negative influence on PU. At the same time, system quality shows no significant influence on PU. Perceived control and convenience of operator are both antecedents of PEOU. Furthermore, except for the sense of belonging, the proposed four antecedents of flow are tested for their effect on PU.Originality/valueThis research systematically includes relevant antecedents in MIS research to test online game users’ intention to adopt online games. It also provides some managerial insights that can guide Chinese online game companies to improve their games to attract users, and help foreign online game companies to make strategic plans to enter the huge Chinese online game market.

Predicting telecare adoption on senior citizens in institution: Application of the technology acceptance model

Telecare is a twenty-first century trend. This study focuses on senior citizens in institution in Taiwan—its subjects of research—to investigate their prediction of telecare. This study is based on the definition as well as on the constructs related to technology acceptance model (TAM). The senior citizens in institution aged over 60 years, were selected as the subjects of this research. A total of 400 copies of a questionnaire were collected. A Confirmatory factor analysis (CFA) is employed to examine the reliability and validity of the measurement model. Furthermore, the structural equation modeling (SEM) technique is employed to interpret the causal model. The results of this research reveal that the attitude toward using (ATT) is the most critical factor that affects the behavioral intention to use (BI) of telecare, followed by perceived usefulness (PU). This study discovers that the impact of perceived ease of use (PEOU) on the ATT of telecare is not yet statistically significant. This result isn’t consistent with other researches. The results of this research can help enhance the understanding pertaining to the relationship and reference of other important user variables in the choice of telecare by relevant researchers, technology developers, and policy makers.

Knowledge Sharing Adoption Model Based on Artificial Neural Networks

Knowledge Sharing Adoption Model called (KSAM) was developed in this paper using Artificial Neural Networks (ANN). It investigated students’ Perceived Usefulness and Benefits (PUB) of Knowledge Sharing among students of higher learning in Nigeria. The study was based on the definition as well as on the constucts related to technology acceptance model (TAM). A survey was conducted using structured questionnaire administered among students and analysed with SPSS statistical tool; the results were evaluated using ANN. The KSAM includes six constucts that include Perceived Ease Of Sharing (PEOS), Perceived Usefulness and Benefits (PUB), Perceived Barriers for Sharing (PBS), External Cues to Share (ECS), Attitude Towards Sharing (ATT), and Behavioral Intention to Share (BIS). The result showed that Students’ PUB must be raised in order to effectively increase the adoption of Knowledge Sharing in this domain. The paper also identified a myriad of limitations in knowledge sharing and discovered that the utilization of KSAM using ANN is feasible. Findings from this study may form the bedrock on which further studies can be built.

모바일 상거래의 채널만족과 채널선호에 영향을 미치는 요인

본 연구의 목적은 모바일 상거래의 채널만족과 채널선호에 영향을 미치는 요인을 분석하는 것이다. 기술수용모형, 거래비용이론 그리고 서비스 품질에 대한 이론적 배경을 바탕으로 연구모형을 설정하였으며, 모바일 사용자 320명을 대상으로 AMOS 7.0 통계패키지를 이용하여 실증연구를 수행하였다. 연구결과, 유용성, 자산특유성, 불확실성, 신뢰, 응답성이 채널만족에 유의한 영향을 미쳤으며, 채널만족이 채널선호에 유의한 영향을 미치는 것으로 나타났다. This aims of this study is to examine the factors influencing on the channel satisfaction and preference of the mobile commerce. This model tests various theoretical research relating to technology acceptance model(TAM), transaction cost theory and service quality. The model is tested Structural Equation Modeling(SEM) using AMOS 7.0 analysis on the sample collected from 320 respondents. The result of hypothesis testing is as follows. First, usefulness, asset specificity, uncertainty, trust and responsiveness were influenced by channel satisfaction. Second, channel satisfaction was influenced positively by channel preference.