Acceptance Of New Technology Research Articles

Penerapan Technology Acceptance Model Terhadap Perilaku Pengguna Uang Elektronik

The acceptance of new technology generally uses Technology Acceptance Model as an approach model to explain how the users accept new technology. The constructs of the technology acceptance model are perceived ease of use, perceived usefulness, attitude toward using, and actual usage. This research aims to examine whether perceived ease of use and perceived usefulness affect attitude toward using and actual usage of the use of electronic money to obtain empirical evidence on how public acceptance of the use of electronic money, especially among users at private colleges and universities in Banjarmasin. 150 participants participated through questionnaires that were delivered by Google Form. Partial Least Square (PLS) with Smart PLS 3.0 is the tool for analyzing data. The results show that perceived ease of use and perceived usefulness affect attitude toward using and actual usage, and attitude toward using also affects actual usage of the use of electronic money.

Assessing enablers of green entrepreneurship in circular economy: An integrated approach

In recent years, researchers have considered green entrepreneurship critical for creating new business opportunities in circular economy for sustainable development. Though many studies have been carried out in this domain recently, there are dearth of studies on how enablers of green entrepreneurship help businesses and progress toward achieving a circular economy. To fill this research gap, this study aims to identify the enablers of green entrepreneurship in the circular economy in micro, small, and medium enterprises (MSMEs) of the manufacturing sector. The aim also includes prioritizing and developing a contextual and hierarchical relationship between the identified enablers. Enablers are identified via a comprehensive literature review under the purview of management theories (namely “Dynamic Capability Theory,” “Critical Success Factor Theory,” and “Stakeholder Theory”) and are validated by expert opinions. The “Best Worst Method” (BWM) and the “Interpretive Structural Modelling” (ISM) have been used to prioritize and develop a hierarchical contextual relationship among the identified enablers respectively. Moreover, “fuzzy Matrice d'impacts croisés multiplication appliquée á un classment” (MICMAC) analysis is employed, to compute the driving and dependence power of the enablers. The obtained result revealed that “technology-based enablers” and “effective technological infrastructure facilities” are the key enablers of green entrepreneurship under main and sub-category enablers. The findings highlight the strength of the relationship among the enablers of green entrepreneurship based on the corresponding “driving” and “dependence” power. The result also suggests that ‘social norm and culture’, ‘an attitude towards acceptance of new technology,’ ‘R&D innovation capability,’ and ‘environmental regulation and waste management policies are critical in influencing the driving green entrepreneurship enablers of the circular economy. The study contributes to the decision-making process of government, policymakers, and all other stakeholders and also acts as a point of reference for entrepreneurs to run green-driven business practices and create sustainability-driven goods to offset the socio-economic and environmental challenges that mankind faces.

Dr. Google: Physicians-The Web-Patients Triangle: Digital Skills and Attitudes towards e-Health Solutions among Physicians in South Eastern Poland-A Cross-Sectional Study in a Pre-COVID-19 Era.

The investment in digital e-health services is a priority direction in the development of global healthcare systems. While people are increasingly using the Web for health information, it is not entirely clear what physicians' attitudes are towards digital transformation, as well as the acceptance of new technologies in healthcare. The aim of this cross-sectional survey study was to investigate physicians' self-digital skills and their opinions on obtaining online health knowledge by patients, as well as the recognition of physicians' attitudes towards e-health solutions. Principal component analysis (PCA) was performed to emerge the variables from self-designed questionnaire and cross-sectional analysis, comparing descriptive statistics and correlations for dependent variables using the one-way ANOVA (F-test). A total of 307 physicians participated in the study, reported as using the internet mainly several times a day (66.8%). Most participants (70.4%) were familiar with new technologies and rated their e-health literacy high, although 84.0% reported the need for additional training in this field and reported a need to introduce a larger number of subjects shaping digital skills (75.9%). 53.4% of physicians perceived Internet-sourced information as sometimes reliable and, in general, assessed the effects of its use by their patients negatively (41.7%). Digital skills increased significantly with frequency of internet use (F = 13.167; p = 0.0001) and decreased with physicians' age and the need for training. Those who claimed that patients often experienced health benefits from online health showed higher digital skills (-1.06). Physicians most often recommended their patients to obtain laboratory test results online (32.2%) and to arrange medical appointments via the Internet (27.0%). Along with the deterioration of physicians' digital skills, the recommendation of e-health solutions decreased (r = 0.413) and lowered the assessment of e-health solutions for the patient (r = 0.449). Physicians perceive digitization as a sign of the times and frequently use its tools in daily practice. The evaluation of Dr. Google's phenomenon and online health is directly related to their own e-health literacy skills, but there is still a need for practical training to deal with the digital revolution.

Some Problems in Data Ethics and Social Media Ethics

Digitization or the introduction of modern digital technologies in various spheres of life and production underlies numerous changes in modern society. Digital technologies have enormous social and economic potential. However, trust in digital technologies cannot be taken for granted. Broad public acceptance of new technologies and business models can only be achieved if governments and organizations design their digital transformation with ethical values in mind. Therefore, today it seems important to analyze the ethical principles and norms used for the development and implementation of digital technologies. The use of large amounts of data, often personal or confidential, the growing reliance on algorithms to analyze it to inform choice and decision making, the phasing out of human involvement or even control over many automated processes raises pressing questions of fairness, responsibility and respect for human rights. On the one hand, ignoring ethical issues can cause negative social consequences; on the other hand, an overemphasis on the protection of individual or collective rights can lead to the establishment of rigid rules and regulations that prevent the use of the social value of digital innovations. The article focuses on some modern aspects of digital ethics, namely data and data management, social media. The important role of confidentiality in human relations is emphasized, which is considered not only as an individual, but also as a public good. Attention is focused on the fact that confidentiality is closely related to other fundamental values, such as autonomy and equality. It is concluded that in order for social media to remain an open and empowering space for all people, it is necessary to maintain a balance between freedom of speech and access to reliable information, as well as raising people’s awareness of the ethical implications of the development of information and communication technologies.

A Neutrosophic Proposed Model for Evaluation Blockchain Technology in Secure Enterprise Distributed Applications

Applications that are enabled by blockchain technology have been infused with a decentralized system without the need for intermediate entities. Blockchain technology indicates opportunities with various technologies and applications. Recently, a meteoric rise in the amount of interest has been indicated by academics in blockchain technology. Nevertheless, the acceptance of this blockchain technology paradigm in corporate distributed systems is not exactly promising. Executives and technocrats in a business are required to engage in multiple-criteria decision-making (MCDM) with operating uncertainty factors for the acceptance of new technologies. The proposed model aims to develop a model to identify and keep track of major elements that contribute to the sluggish pace for blockchain technology to be adopted by the general public. The study applied the Evaluation Based on the Distance from Average Solution (EDAS) approach to its interval-valued neutrosophic variant, which has the benefit of concurrently with the consideration of a decision maker's truthiness, falsity, and indeterminacy. The EDAS considers the distances of alternatives from the actual solutions considered by each criterion. In addition, the proposed model illustrated the use of neutrosophic theory with the EDAS method to rank blockchain technology in enterprise-distributed applications in uncertain conditions to aid decision-makers in optimal solutions. A numerical case study is illustrated to show the effectiveness of the proposed model in aiding decision-makers to achieve optimal solutions in uncertain conditions.

The acceptance process of smart homes by users: a statistical meta-analysis

ABSTRACT New, increasingly affordable smart technologies can be used to bring homes to the smart paradigm. Despite this, several studies still present varying estimates of the variables that affect users’ acceptance of these technologies. This article aims to identify key trends regarding the effect of various factors on smart home technologies acceptance. This study starts from the relations proposed in the UTAUT2 model for acceptance of new technologies and estimates these relations based on an international set of 24 studies. In addition to the main relations proposed in UTAUT2, the model proposed also moderates the effects of gender and timeline variables. The results showed ‘attitude’ and ‘performance expectation’ constructs as the most decisive for accepting the smart home technologies. The moderation by gender results indicates that gender has a significant effect on smart home adoption. Moderation concerning the timeline of the studies points out that more recent studies have lower hedonic motivation, social influence, and performance expectation effects on smart home acceptance.

Hardware in the loop experiments on the interaction between a diesel-mechanical propulsion system and a ventilating propeller

The interaction between ship propulsion machinery, propellers and the highly dynamic environment which is the sea is a complex yet highly relevant subject. During a storm, for example, waves and ship motions may cause the propeller to draw air, or ventilate, resulting in rapid changes in propeller thrust and load torque. These fluctuations propagate through the propulsion system, potentially causing excessive loads on propulsion machinery, while also reducing the ship's manoeuvrability. A profound understanding of these complex interactions still lacks. One result of this knowledge gap is the limited acceptance of new technologies for ship propulsion, especially those technologies known to have limited transient capabilities. In this paper, hardware in the loop (HIL) is proposed as a solution to this knowledge gap. Paying specific attention to propeller ventilation, HIL is used to identify new aspects of interaction between engine and propeller, thus demonstrating the added value of HIL for ventilation studies.

The persuasive role of the past: Policy feedback and citizens' acceptance of information communication technologies during the COVID-19 pandemic in China.

How can the enforcement of policies in the past influence a society's future adoption of information communication technologies (ICTs)? In this paper, we tackle this question by exploring how past e‐governance policies influence citizens' willingness to use the health QR code, which is a COVID‐19 tracing app widely used in China's pandemic control. Past policies regarding smart‐city development in China involve two aspects: the construction of electronic infrastructure and the applications of specific technologies. Empirical analysis based on a nationwide dataset in China suggests that past policies exhibit persuasive effects and influence citizens' acceptance of the health QR code. Specifically, e‐governance applications in cities significantly enhance citizens' acceptance through the demonstration of their usefulness. However, the construction of e‐governance infrastructure per se does not have the same impact on citizens' acceptance. By connecting citizens' acceptance of new technology with past e‐governance policies, the study illustrates a nuanced policy feedback mechanism through which past policies can substantially reshape public opinion by policy outcomes.

Factors That Affect the Usage Intention of Virtual Learning Objects by College Students

In recent years, the introduction of Information and Communications Technologies (ICTs) into several aspects of daily life has become more relevant, particularly in higher education. This phenomenon has resulted in a digital integration that involves the infrastructure of higher education institutions as well as the materials used in the teaching process. Therefore, a study was conducted to investigate the factors that determine usage intention of Virtual Learning Objects (VLOs) by college students in finance and accounting programs in the city of Medellín. This quantitative research employed 86 self-administered questionnaires that enabled us to identify a positive association between attitude toward usage, subjective norms, and the intention to employ this type of content as a learning strategy. In conclusion, models like this need to be developed to understand the acceptance of new technologies in learning processes from different perspectives, and even more so considering that most of the existing literature regarding the subject has been focused on qualitative studies.

The Important Factors on Behavioral Intention of Travy Mobile Application

Travy is a new traveling site which focus on personalised travel planner and destination of information that can help travelers who do not have time to prepare their own travel plans. Travy application is already available in the Google Playstore and has been soft-launched but has not been promoted to the market because there are still some bugs in the application. Before launching to the public, it is essential to understand the factors that encourage the user intention in accepting the use of technology. Researchers identify the factor that most important of the potential users, especially travelers using the Travy application, regarding their intention to use it. Whereas understanding the acceptance of new technology by users is extensive and can help develop business and technology in the future. This research analyzes the factors that most important on behavioral intention of Travy mobile application towards Travy’s users in Jakarta and Bandung using The Extended Unified Theory of Acceptance and Use Technology (UTAUT2) model. In this research, the method used is quantitative by doing an experimental method and distributing questionnaires online to gather data from 35 respondents of the travelers who fit the criteria. The data analysis uses descriptive analysis. The expecting result of this study is there are five indicators that have a very high interval range which is in the 4.21 - 5.00 range, and there are two indicators that are in the medium range with a score of range is 2.61 - 3.40.

Factors Associated With Caregivers' Preference for Digital Technologies to Support Older Adults.

Family members often serve as primary caregivers to their parents and relatives. Information and communication technology (ICT) plays an important role in facilitating this caregiving role through using Internet of Things (IoTs) caregiving services. However, there is limited evidence regarding factors influencing caregivers' acceptance of new technologies. The current study investigated factors affecting caregivers' intentions to use ICT-based IoTs. Chi-square test was used to contrast differences in distributions between categorical variables. Binary logistic regression was performed to identify factors associated with increased intention to use ICT-based IoTs. Male caregivers showed increased intentions of using these products and considered the psychological burden as well as the diverse factors associated with adopting IoTs. On the other hand, female caregivers considered relieving their care burdens and social influences. As such, findings indicated that female caregivers demonstrated increased intention, which is associated with their care burdens, and relieving a similar experience would be a significant motivation. Further studies are needed not only for specific measures to reduce psychological burden but also for physical burden. Marketing strategies for spreading awareness of IoT technologies require more investment and initiatives. [Journal of Gerontological Nursing, 48(8), 33-41.].

Determinants that Affect Females’ Attitudes Toward Online Shopping in the Western Region of Saudi Arabia

This research aims to determine the factors that influence females’ attitude toward online shopping in Saudi Arabia. The potential and main theory that is selected for this study is the Theory of Acceptance Model (TAM) which studies online shopping acceptance of new technology through two important variables which are perceived ease of use and perceived usefulness. Furthermore, this research has included the factors of site quality, site credibility, and customer fashion lifestyle. The self-administrated method has been used to distribute the questionnaire for the respondents, who are selected by utilizing the judgement sampling technique. 320 questionnaires were valid for analysing. SPSS and Smart PLS software have been employed for analysing the data of study. The finding of the present pointed out that perceived ease of use, site quality, and customer fashion lifestyle have a significant positive relationship with females’ attitude toward online shopping. In contrast, usefulness and site credibility were not statistically significant. This study has significantly contributed to literature on the shopper’s attitude toward online shopping. On the other hand, the findings of this study represented a guideline for e-retailers in Saudi Arabia to increase and maintain online shoppers for the long term and compete with other competitors. Finally, study limitations are discussed, and future study directions are proposed.

The role of universities' sustainability, teachers' wellbeing, and attitudes toward e-learning during COVID-19.

In recent years, universities worldwide have experienced rapid changes with an immense impact, which have been influenced by technological progress and the social trends of digitalization. Like all other revolutionary changes, digital transformation involves intense adjustment/readjustment. University sustainability must be the active concern of all higher education institutions. Thus, the present research aims to analyse teachers' acceptance of new technologies and the impact on their wellbeing and university sustainability. The main objective was to analyse the acceptance of technology in special the e-learning opportunities and the wellbeing of teacher in an emergent country like Romania. To achieve our goal, we created a questionnaire based on the literature, and with the help of the technology acceptance model, we tested our hypotheses. The results indicate several discontents on the part of teachers concerning adapting to new technologies and even a personal discomfort in adapting to these new technologies. Thus, we can note that wellbeing significantly influences job satisfaction and teachers' involvement in sustainable development.

Acceptance of tourism blockchain based on UTAUT and connectivism theory

With advances in internet technologies, innovative industrialization applying big data-based artificial intelligence is leading Industry 4.0. However, opportunities for the public to learn about virtual cryptocurrency or utilities based on blockchain technology are limited, except for Bitcoin. This lack of opportunities generates misunderstandings. This study ascertained and examined the determinants affecting the acceptance of new technologies on Jeju Island, Korea, where tourism is the dominant business. A total of 537 Jeju-do residents and potential visitors from the mainland were analyzed by conducting a partial least squares (PLS)- structural equation modeling (SEM) and one-group pretest–posttest design through a survey after observing a video clip on blockchain implementation on YouTube. The empirical analysis results showed the effect of blockchain trust transparency on the performance and effort expectancy. Facilitating conditions were found to be the most influential in blockchain technology acceptance. Following a video experiment introducing blockchain implementation as a currency for Jeju tourism, a significant positive change towards the implementation of blockchain was observed. This paper presents a concrete application of blockchain technology and shows the possibility of using social media (YouTube) to elicit user awareness and potential interest in the domestic tourism market.

청년농업인의 혁신기술수용에 관한 연구

This study attempts to investigate the factors that could affect the acceptance of agricultural technologies by considering empirical factors for new agricultural technologies, based on previous studies on the acceptance of new technologies and innovations. In order to test the hypotheses, this study used a sample of 157 young farmers under the age of 39 who grow strawberries nationwide. The results are as follows. First, as a result of verifying the hypothesis on the effect of young farmers’ personal characteristics (innovation, technical competency, self-efficacy) on perceived ease of use and perceived usefulness, the hypothesis for the innovation was adopted because it directly affected perceived usefulness. And, the hypothesis for the self-efficacy was adopted because it directly affected perceived young farmers’ environmental characteristics (network, social influence) on perceived ease of use and perceived usefulness, the hypothesis for the network was rejected because no significance was secured in both perceived ease of use and perceived usefulness. On the other hand, the hypothesis for social influence was adopted because it directly affected perceived ease of use. Third, As a result of verifying the hypothesis on the relationship among the perceived ease of use, perceived usefulness, attitude toward using, and intention to accept technology, the hypothesis was adopted as it was shown that perceived ease of use had a direct effect on perceived usefulness, perceived usefulness had a direct effect on attitude toward using, and intention to accept technology, and perceived ease of use and attitude toward using, had a direct effect on the intention to accept technology. Summarizing this study, it was analyzed that innovation and selfefficacy among the personal characteristics of young farmers, and social influence among the environmental characteristics of young farmers influenced the acceptance intention of innovative technology. Based on these research results, policy implications for fostering young farmers as the subject of agricultural innovation were presented.

Institutional Trust as a Factor in Attitudes Toward New Technologies

The success of the country's innovative development depends not only on the supply side (production of innovative products), but also on the demand side – the readiness of the population to adopt new technologies. In this article we test two hypotheses using data from representative surveys conducted in 2018 and 2020. The first hypothesis is about a positive relationship between institutional trust (trust in federal, regional and municipal authorities), belief in the security of personal data collected by the state and attitudes towards new technologies (in the field of healthcare and unmanned vehicles). The hypothesis is based on the assumption that the state is perceived as a guarantor of the quality of the institutional environment and the infrastructure used, which are important for ensuring the safety of the introduction and use of new technologies. The second hypothesis is about a negative relationship between institutional trust and attitudes towards medical technologies, which act as a substitute for the functions that a person performs as part of his job duties. It is based on the assumption that in the case of low institutional trust, the population makes an increased demand for technologies that can replace the activities of a person working in a state system that they do not trust. The results show that, regardless of the type of technologies considered, higher levels of institutional trust and confidence in the security of personal data collected by the state is positively related with attitudes toward new technologies. The results obtained are important for building institutional and informational measures aimed at increasing the acceptance of new technologies by the population. It can also be important to customize measures for specific socio-demographic groups of the population, taking into account the level of institutional trust in the group.

Preferred Sources of Information, Knowledge, and Acceptance of Automated Vehicle Systems: Effects of Gender and Age.

Automobile crashes are a leading cause of death in the United States and worldwide. Driver automation systems and active safety systems have the potential to improve the safety and mobility of all road users and may particularly benefit older adults who have been slow to accept and adopt such systems. Age-related sensory-cognitive changes contribute to higher crash rates and increased physical frailty makes severe injury or death more likely when a crash occurs. Vehicle automation can decrease the sensory-cognitive load of the driving task and many advanced automated safety features can decrease crash severity. Acceptance and adoption of driver automation systems is necessary for their benefit to be realized yet little is known about drivers’ preferred sources of information and knowledge about such systems. In a sample of 404 active drivers, we examined the impact of age and gender on understanding and acceptance of vehicle automation, acceptance of new technologies more generally, and preferred sources of information to learn about vehicle automation. Results revealed that older respondents and females felt less technically sophisticated than their younger and male counterparts. Males subjectively reported greater understanding of vehicle automation. However, assessment of objective knowledge of automation operation showed males had no greater knowledge than females. Males also reported a greater willingness to accept higher levels of vehicle automation than females across all age groups. When asked how they would prefer to learn about new vehicle automation, older adults reported wanting information from more objective sources than their younger counterparts and were significantly less likely to rely on friends and family, or social media. The present results provide support for the idea that people are not willing to accept technology that they do not feel they understand well and conversely, if people feel that they understand vehicle automation they will be more likely to adopt it. The results provide insights into assisting drivers to gain more accurate knowledge and hence acceptance of vehicle automation systems.

Technology adoption: an analysis of the major models and theories

ABSTRACT In recent decades, as with the rapid movement of scientific discoveries, the development of new technologies and innovations has picked up a similar pace. Some of these technologies have drawn public attention and rapidly prevailed in the societies, while some others have faded away after some time. The factor which must be considered in alignment with the development of new technology is the precise recognition of the demands and the impacting factors for the acceptance of new technology. Hence, many scholars have investigated the topic and developed different frameworks for modelling the method through which users accept a technology. With that respect, in this article, the most important models or theories related to user acceptance and adoption since 1962 to this point are investigated and the evolution of different theories and models of technology acceptance during these years are evaluated in order to provide a comprehensive review of the topic.

“Hi! How can I help you today?”: investigating the quality of chatbots–millennials relationship within the fashion industry

PurposeChatbots represent one of the most relevant trends within the communication settings and the management of relationships with consumers. New generations, such as millennials are favourable to interact with chatbots instead of human service assistants as they recognise the benefit linked to the technological advancements. Based on these premises, the paper intends to investigate what are the main factors affecting the quality of millennials–chatbots relationships and the new generations’ attitude and intention of using them within a specific industry such as the fashion one.Design/methodology/approachIn order to achieve the aim, an online survey based on Likert-scale items from previous research has been implemented to test developed hypotheses. Construct reliability and discriminant validity of the hypothetical research model has been tested. Additionally, a partial least square analysis technique has been used with a bootstrapping technique for evaluating the significance level of path analysis.FindingsA total of 191 responses have been collected. Most of millennials have familiarity with the concept of chatbot (52.4%). Perceived ease of use (PEOU) and perceived usefulness (PU) of chatbots positively influence the attitude towards using them by millennials. Attitude towards using chatbots positively influence the behavioural intention to use chatbots. Finally, also perceived trust and perceived risk affect the behavioural intention to use chatbots.Research limitations/implicationsThis study enriches the stream of research focused on investigating the acceptance of new technologies and their use for the development of high-quality relationships with customers. This study presents some limitations: the research model has been tested by using a convenient sample; then the study has been tailored for investigating millennials' perceptions in a specific industry; finally, the study focused on relational variables as determinants of using chatbots.Practical implicationsThis study provides professionals operating in the fashion industry with practical and managerial insights relating to the perceptions collected among a precise customer cluster represented by millennials.Originality/valueThe paper investigates millennials' perceptions about chatbots within a specific industry related to the fashion system. Additionally, the paper explores at what extent relational variables such as trust and risk could affect the quality of millennials–chatbots relationship.

The Psychology of Rewards in Digital Game-Based Learning: A Comprehensive Review

A significantly accelerated speed in the growth and acceptance of new technology has been observed in recent decades. This rapid technological transition has affected almost every economy, environment, culture, and education. The rapid technological evolution has led to the frequent use of Digital Game-Based Learning (DGBL), where users learn and play simultaneously. DGBL has been implemented to supplement formal classroom lessons. Despite the extensive use of DGBL and other implementation methodologies, no study has yet synthesised the use of the "reward system" and its associated components. This study reviewed over fifty scientific publications on the forms of rewards in DGBL and their effects on learners, published between 2000 and 2021.