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This paper aims to review and highlight the gaps in the research streams of the technological acceptance model (TAM) associated with e-banking services. The introduction of TAM as a decision-making process from individual and organizational perspectives is the core purpose of this paper.

This study is based on concept-centric reviews and synthesizing of previous research. Data are extracted from a systematic literature review published from 1975 to 2021 under the preferred reporting items for systematic review and meta-analyses statement.

This review explored that theory of reasoned action and theory of planned behavior are the basic theories proceeding to TAM evolution. TAM has been extended to its three versions, which are designed and modified for different contexts and cultures. Previously, the risk-return approach, theory of trust and perceived value were the major constructs or modifications in TAM. Now, TAM has been designed for measuring customers’ perception of any technological advancement.

This review is limited to major additive constructs in modified TAM concerning e-banking services, which can be expanded to different cultures and contexts. This study sketched TAM as a decision-making model associated with the factors influencing any technological advancement. So, the proposed conceptual framework is applicable for the behavioral analysis of technological adoption from individual and organizational perspectives in any field.

This review designed a bi-dimensional conceptual model of TAM as a decision-making process for e-services that has not been identified yet in any study from organizations’ and customers’ perspectives.

The purpose of the study is to investigate critical factors affecting individuals’ intention to adopt internet of things (IoT) products in healthcare.

An integrated model was developed based on technology acceptance model (TAM), innovation diffusion theory (IDT), technological innovativeness (TI), protection motivation theory and privacy calculus theory. The model was tested with 426 respondents (222 females, 204 males) using partial least square structural equation model with all data grouped by gender.

Based on the results of the complete model, perceived advantage (PA), image and perceived ease of use (PEOU) constructs have a significant effect on intention to adopt IoT healthcare technology products. The results show that for females, compatibility and trialability have more impact on PEOU whereas for males PA has more impact on PEOU. Image, perceived privacy risk, perceived vulnerability have more impact on males when compared to females.

Research conducted only among Turkish people.

This study investigated adoption of future technology, “internet of things”, products in healthcare from a behavioral perspective by integrating various theories. The reason is that before launching any technology into the market, its facilitative factors should be researched for the people who are going to use this in their daily routine.

Blockchain can track the material from the manufacturer to the end customers. Therefore, it can ensure the product's authenticity, transparency and trust in the retail supply chain (SC). There is a need to trace and track the retail products before it reaches the customers to check the quality of the products so that expired products can be recycled and reused, which in turn will help gain customers' trust. This research aims to investigate retail employees' behavioural intention to adopt blockchain in the retail SC.

To examine the behavioural intention of employees in the retail SC, the research uses three theories – the technology acceptance model; the unified theory of acceptance and use of technology; and the theory of planned behaviour. The technology acceptance model measures the employee's acceptance of blockchain in the retail SC. The unified theory of acceptance is used in this research to measure how blockchain adoption will improve the performance of the employees. The theory of planned behaviour is used in this research to measure whether the employees intend to adopt blockchain. A survey was carried out in the retail stores of India. Exploratory factor analysis and structural equation modelling were used for data analysis.

This study found that the employees of the retail stores have a positive intention and attitude to adopt blockchain technology. Further, it was found that perceived behavioural control and effort expectancy was not promoting blockchain adoption in the retail sector.

This study will help the retail stores' employees understand the blockchain in their operations and will motivate the top management of the retail companies to adopt this technology. The study is limited to the retail SC in India only.

This study uses three theories technology acceptance model; the unified theory of acceptance and use of technology; and the theory of planned behaviour, which were not used in earlier studies of blockchain adoption in the retail SC.

The evolution of e-health technologies presents promising alternatives for health-care excellence. Despite the benefits arising from mobile e-health (m-health) and wearables technologies, the literature stands many contradictories signs regarding how users accept and engage in using these technologies. This study aims to synthesize the estimations about m-health user acceptance technologies.

A meta-analytic structural equation modeling was carried out using the 778 relationships estimated by 100 previous research. The estimations follow the relations and constructs proposed in the UTAUT2 technological acceptance model.

The results indicate the performance expectancy, effort expectancy, social influence and habit constructs are most important for predicting the behavioral intention of use of m-health technologies. The Latin American users of e-health technologies are still underestimated in the literature.

The study presents a guide to understanding the acceptance process of m-health technologies and delivers a general orientation for developing new m-health devices considering their acceptance by users.

Technological innovation is one of the remarkable characteristics of electric vehicles (EVs). This study aims to analyze how consumers' technological knowledge affects their intention to adopt EVs.

Original data were collected via a survey of 443 participants in China. An extended technology acceptance model was constructed to identify the factors influencing consumers' intention to adopt EVs and related technological knowledge pathways.

The results show that consumer technological knowledge is positively and significantly related to EVs' perceived usefulness, perceived ease of use, perceived fun to use and consumers' intention to adopt EVs. In addition, no direct and significant relationship is found between perceived fun to use and willingness to adopt EVs, from the technical knowledge dimension.

Imparting consumers with EV technological knowledge and usefulness may be an effective way to enhance their awareness and willingness to use EVs. Moreover, the role of females in the decision to adopt EVs should not be ignored, especially in decisions to purchase a family car.

Prior studies lack a technological knowledge-based view, and few studies have discussed how to explore the effects of consumer technological knowledge about EVs on their adoption intention. This study fills the research gap.

This study aims to investigate the intention of adopting a technological service innovation that is a mix-mode consumer shopping service in the retailing context.

A modified extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model is tested by using data on a real example named “Mkolay” which is a new mix-mode consumer shopping service. Data are collected from 217 participants and analyzed by using Partial Least Squares Structural Equation Modeling (PLS-SEM).

Research findings show that the customers' intention to use the new mix-mode consumer shopping service is particularly influenced by performance expectations, effort expectations, social influence and personal innovativeness.

In designing a mix-mode consumer shopping service, keeping the design as simple and easy to use as possible seems to increase the intention of adoption. Additionally, collaborating with reference figures or influencers could be instrumental to spread the new service to a wider audience hence increase the likelihood of adoption. Practitioners should also use new technologies in different ways to attract and surprise customers, especially taking into account the technological profile of potential users.

This study contributes to the literature of technological service innovation adoption by revealing the factors affecting the intention of adoption of mix-mode consumer shopping service in the retailing context with a modified UTAUT2 model.

Each culture is defined by norms, beliefs and values which influence and complicate individual thoughts and actions. Cultural intelligence (CQ) is a novel concept that reflects the ability of individuals of certain cultures to adapt to the general conditions of a different society. This study aims to explore the relationship between CQ and technology adoption in the form of intention to use the internet.

This quantitative empirical study, based on data from a questionnaire completed by 201 university students, proposes three models to analyse the direct, indirect and moderating influence of the CQ on intention to use the internet.

The study reveals that CQ has an indirect influence on the intention to use the internet.

Most research to date has focused on analysing the influence of CQ in the cross-cultural field. This work contributes to the development of the concept of CQ as a decisive factor in a globalised world and analyses its impact on the internet, a tool that is fundamental at all levels.

Cada cultura posee unas normas, creencias y valores que la definen, lo que influye en el pensamiento y acciones de los individuos que la componen y dificulta el ajuste entre las mismas. Derivado de esto, la inteligencia cultural (CQ) es un concepto novedoso que refleja la capacidad que tienen los individuos de una determinada cultura de adaptarse a las condiciones generales de otra sociedad diferente. En este estudio, se explora la relación existente entre la CQ y la adopción tecnológica en la intención de uso de Internet.

La muestra está conformada por 201 estudiantes universitarios y los datos fueron recolectados a través de cuestionario. Se realizó un estudio empírico cuantitativo, proponiéndose tres modelos para analizar la influencia de manera directa, indirecta y como factor moderador de la CQ sobre la intención de uso de Internet.

El estudio revela que la CQ influye indirectamente sobre la intención de uso de Internet.

La mayoría de las investigaciones hasta el momento se han centrado en analizar la influencia de la CQ en el ámbito cross- cultural. Este trabajo contribuye al desarrollo del concepto CQ como un factor decisivo en el mundo globalizado y analiza su impacto en una herramienta fundamental a todos los niveles como Internet.

Enterprise resource planning (ERP) systems have been implemented in most organizations for a few years. ERP solutions go through three phases of lifecycle: selection, implementation and operation phase; the operation phase consists of the stabilization stage and the routine stage. To improve the efficiency and effectiveness of ERP system use in the operation phase, organizations need to research the factors that have impact on users' satisfaction. A literature shows that few published studies have examined users' adoption of ERP systems through a technological acceptance model (TAM) or examined external factors that have influence the intention to use an ERP system, or ERP use in the stabilization stage. The purpose of this paper is to expose and research external factors which have influence on ERP users in the operation phase of ERP lifecycle and to investigate the impact of those factors on ERP system use.

The TAM proposed by Davis has been the most widely‐used model for researching user acceptance and usage of information technology/information systems. Despite the existence of several additions to TAM connected with ERP use, the authors aim to make further contribution in the area of external factors. Within this context the present research is focused on the mature use of ERP system (more than one year of ERP use in an organization). A limited number of external factors mentioned in already published papers connected with TAM regarding ERP use has also been extended. The authors have researched the effect of external factors through the second‐order factors on the original TAM. The model has been empirically tested using the data collected from a survey of 161 ERP users from a national telecom company, which has been using an ERP system since 1999. The model has been analysed using PLS approach.

The study shows that extended external factors observed through the second‐order factors have important influence on ERP usefulness and ERP ease of use; they also have a strong influence on the attitude toward using ERP system by ERP users in the routine (maturity) stage.

The paper researches the factors which have an impact on ERP solution use in the routine (mature) stage of ERP lifecycle. The paper adds to the literature, in that few previous studies have examined the users' adoption of ERP systems through the TAM or examined external factors that have influence on the intention to use an ERP system or ERP use in the stabilization stage.

Smartphones have influenced tourists’ information search behaviors and trip experiences in various ways. Operationalized in the air travel context, this study aims to apply the technology acceptance model (TAM) to unveil the causal relationships and potential compatibility or consistency between smartphone apps and travelers’ prior experiences, perceived technological congruence and technology value, attitudes toward price change and usage intentions.

Research data were collected via an online survey administered by a survey sampling company. The online questionnaire queries respondents’ frequency of downloading smartphone apps, familiarity with travel-related mobile apps, frequency of travel experiences, perceived technological congruence of the app and travel needs, attitudes toward price change, intention to purchase the mobile app and demographic information.

Results from structural equation modeling analysis indicate that travelers’ smartphone usage experiences significantly influence their perception of the device’s technological value in relation to travel needs and therefore results in positive attitudes toward price of the new mobile app and intention to use it. Prior trip experience, however, was not found to be an influential determinant in consumers’ smartphone acceptability, which departs from the existing literature.

This study provides evidence for the need to include perceived technological congruence in the construct of travelers’ TAM. It highlights the influence of the technology congruence variable and the compatibility of apps and travel needs in the literature.

智能手机对游客信息搜索行为和旅行体验有着很多影响。本论文针对航空旅行体验, 旨在通过科技接受模型TAM来检验智能手机APP和游客之前经历、感知科技一致性、科技价值、对价格变化的态度、以及使用倾向的关系。

采样数据通过专业问卷取样公司来做在线问卷调查。问卷主要测量受访者通过智能手机下载APP的频率、对旅游APP的熟悉度、旅游频率、APP和旅游需求的感知科技一致性、对态度变化的态度、购买APP的意向、以及统计人口数据。

本论文采用结构方程模型来分析数据, 结果表明, 游客智能手机使用体验对其旅游需求科技一致性有显著影响, 因此, 其对新APP态度和使用意图有积极影响。然而, 之前的旅行经历对消费者智能手机接受度并没有显著影响, 这与现有文献的研究结果有区别。

本论文研究了在游客科技接受模型TAM下的感知科技一致性, 其突出了科技一致性因素和APP与旅游需求协调性的重要性。

、航空旅行、智能手机, 关键词：、科技接受模型tam 、科技一致性

Open banking, with its promise to revolutionise electronic transactions through open application programming interfaces (APIs), aims to bridge the gap between banks and non-banks, enhancing lending, payments, investments and funds distribution. However, does this bold innovation truly resonate with consumers? This study delves into consumer intentions to adopt open banking in Indonesia by leveraging the technology readiness model, scrutinising its antecedents and moderating factors, and identifying the key attributes that users anticipate.

Through quantitative and qualitative approaches, this study answers the following questions: (1) Are financial service users ready to use open banking/open API applications? (2) What are the key attributes that consumer expects of open banking/open API? First, the authors developed a structural model based on the technology readiness model, distributed the questionnaire in eight major cities in Indonesia, analysed it using PLS-SEM and utilised a machine learning approach to unpack the main attributes expected from open banking.

This study’s findings indicate that customers are generally prepared to embrace open banking innovations. Nonetheless, to enhance public acceptance, certain factors should be emphasised, including organisational support, user-friendly technology, a comprehensive range of features, consumer financial literacy and banks' readiness to adopt open banking. In contrast to prior research, this study reveals that loyalty to traditional banking positively moderates the connection between customer value and the intention to utilise open banking. Additionally, the authors did not observe a significant moderating effect of financial literacy on the relationship between perceived customer value and the intention to use open banking.

To the best of the authors’ knowledge, this study is one of the few that comprehensively analyses the consumers' readiness for open banking in developing contexts. This study is expected to produce a theoretical contribution as well as effective and optimal policies for the financial services sector.