Functionality, Emotion, and Acceptance of Artificial Intelligence Virtual Assistants

This paper aims to expand the acceptance of the AI Virtual Assistant model from the perspective of user’s cognition. Based on the 240 samples, we used multi-layer regression analysis to investigate the influencing factors and differential effects of users' acceptance of AI Virtual Assistant. The results show that functional cognition and emotional cognition of users are important influencing factors for an artificial intelligence virtual assistant. This provides a new perspective for user acceptance processes of the AI Virtual Assistant. We also examined the moderating effect of social norms between user cognition and AI Virtual Assistant. At last, a new AI acceptance model of AI Virtual Assistant was established.

ANALISIS FAKTOR-FAKTOR YANG MEMPENGARUHI PENERIMAAN DAN PENGGUNAAN APLIKASI DOMPET DIGITAL MENGGUNAKAN TECHNOLOGY ACCEPTANE MODEL (TAM)

Era revolusi industry 4.0 mendorong perkembangan teknologi dengan konsep Internet of Thing (IoT), bentuk penerapan IoT adalah penggunaan dompet digital sebagai alat pembayaran dalam kebutuhan bertransaksi. Salah satu dompet digital yang tengah berkembang di kalangan masyarakat adalah aplikasi DANA, dimana DANA memberikan kemudahan bertransaksi dengan lebih cepat dan praktis, serta memungkinkan pengguna melakukan pembayara nontunai dan tanpa kartu untuk kebutuhan sehari-hari. Beberapa pengguna DANA mengeluhkan adanya permasalahan kegagalan verifikasi identitas pengguna. Penelitian ini dilakukan dengan tujuan untuk menganalisis factor-faktor penerimaan dan penggunaan aplikasi DANA menggunakan pendekatan technology acceptance model TAM) dengan menambahkan variabel mobile payment charatcetistic sebagai variabel independent. Dari hasil penelitian diperoleh bahwa mobile payment characteristic secara simultan memiliki pengaruh terhadap penerimaan dan penggunaan aplikasi DANA.

Examining Technology Acceptance in Learning and Teaching at a Historically Disadvantaged University in South Africa through the Technology Acceptance Model

The exponential growth in the use of technology for learning and teaching in the higher education sector has imposed pressure on academics to embrace technology in their teaching. The present study sought to examine factors underlying technology acceptance in learning and teaching at a historically disadvantaged university in the Eastern Cape Province of South Africa. Premised on the mixed methods approach and undergirded by the Technology Acceptance Model (TAM), both a pre-coded and an open-ended questionnaire were used to collect data. Data from the pre-coded questionnaire were analysed through the descriptive statistical approach. The qualitative data from the open-ended questionnaire were analysed through content analysis. The study found that most academic staff believe and see the value that ICTs bring in their teaching and learning practices. In addition, they are aware that technology use in education improves learning and teaching, and they are willing to embrace the use of technology to improve their practices. Based on the findings, we recommend intensification of lecturer training in the use of technology for teaching and learning to enable them to embrace it in their teaching practice. Furthermore, the institution needs to put in place support systems for academic staff to empower them to have continuous access to devices and internet connection for technology integration in teaching and learning. We recommend establishment of e-learning communities of practise in the university that will allow lecturers to assist each other as well as share best practices in the use of technology for teaching and learning.

Acceptance of in-store apps: factors that influence the intention to adopt location-based retail apps – insights from Germany

PurposeDue to recent developments of indoor location-tracking technologies, brick-and-mortar retailers are now able to add location-based marketing capabilities to their existing retail apps, providing retailers with new opportunities to interact with customers inside of their stores. The aim of this study is to identify factors influencing the customers' adoption intention of location-based retail apps for stationary retailing.Design/methodology/approachBased on the technology acceptance model, a conceptual model was developed. A Web-based survey was conducted in Germany with a final sample of 501 cases. Structural equation modelling was performed to test the hypotheses.FindingsThe results confirmed the positive relationship between attitude and the customers' intention to use location-based retail apps. Perceived usefulness and perceived enjoyment promote a positive attitude toward location-based retail apps, while privacy concerns and fear of spam hinder the formation of a favorable attitude. Subjective norms have a positive effect on customers' usage intention.Practical implicationsThe results help retailers who want to establish location-based retail apps at the point of sale (e.g. in the context of omni-channel strategies).Originality/valueAs previous research about location-based apps has mainly used empirical data from either Chinese or American samples, less is known about the perception of European customers. Research indicates that existing findings might not be transferable to European countries due to differences in values, social norms or regulations. Also, the failure of Shopkick in Germany illustrates the need for more research. Based on this, using a German sample to answer the research question, this study aims to provide a European perspective on location-based retail apps, and thereby extend existing research.

ANALISIS TECHNOLOGY ACCEPTANCE MODEL PADA APLIKASI PLATFORM SHOPEE DENGAN PENDEKATAN PARTIAL LEAST SQUARE (STUDI KASUS PADA MAHASISWA UNIVERSITAS DIPONEGORO)

E-commerce refers to business transactions using digital networks such as the internet. Based on the rank on the Appstore and Playstore, Shopee places the first rank. In 2019, Shopee had 56 million visitors. Meanwhile, in the same year, it had 3,225 workers. The imbalance between the number of Shopee visitors and Shopee employees allows users to be disappointed with Shopee's services, but on the other hand, there are also many users who are happy with its services. With both positive and negative responses to the services provided by Shopee, this study analyzes the factors affecting the acceptance of Shopee Apps on students of Universitas Diponegoro Semarang. The analysis was based on the Technology Acceptance Model (TAM). It used the Structural Equation Modeling with the Partial Least Square (SEM-PLS) approach. The study used primary data obtained by distributing questionnaires to students of Universitas Diponegoro. The result showed 28 valid indicators, 5 deal inner models, and 8 significant pathways. All the causality between latent variables contained in the Technology Acceptance Model (TAM) have a positive and significant effect, it's just that the results of integrating trust variables on TAM, namely the latent variable between trust and interest in usage behavior, have no significant effect.

The Integration of the Technology Acceptance Model and Value-Based Adoption Model to Study the Adoption of E-Learning: The Moderating Role of e-WOM

The Technology Acceptance Model (TAM) has lately been utilized in a number of studies to investigate why people reject or adopt new technologies like mobile commerce or e-learning. However, several studies have found weaknesses in TAM’s ability to predict consumers’ purchase intention behavior. To compensate for TAM’s weaknesses, this study presents a model that integrates all of TAM’s components with the Value-Based Adoption Model (VAM). The perceived benefits and sacrifices were considered to provide a list of the implications for both researchers and e-learning service providers. Furthermore, the moderating role of e-word of mouth was utilized to examine the relationship between attitude, intention, perceived value, and intention toward e-learning, in order to match the current circumstances with the growing popularity of social networks. This study was conducted with a quantitative analysis by using data collected from survey 417 e-learning consumers. Except for perceived fee, which has a negative effect on perceived value, the results demonstrate that all hypotheses of latent correlations in TAM and VAM were strongly significant. Furthermore, attitude and perceived value have a significant role in determining consumer adoption of e-learning. Consumers’ perceived value will be driven by the high and low levels of the moderating influence of e-word of mouth, influencing their intention toward e-learning. Since e-learning is an effective sustainable education system, the result of this study can provide a good solution to facilitate e-learning in current and future conditions.