Factors affecting the adoption of blockchain technology in innovative Italian companies: an extended TAM approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mauro Sciarelli ◽  
Anna Prisco ◽  
Mohamed Hani Gheith ◽  
Valerio Muto
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Business Processes ◽  
Strong Predictor ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Content Type ◽  
Factors Affecting ◽  
Blockchain Technology

PurposeThe present research aims to identify the determinants for users' behavioral adoption of Blockchain, exploring the relationships among these variables and investigating whether the proposed model can provide a more comprehensive manner to understand the adoption of Blockchain technology.Design/methodology/approachThis study adopts the Technology Acceptance Model (TAM) approach and extends it with external constructs: “reduced cost” and “efficiency and security”. This paper used a quantitative and exploratory approach through the collection and analysis of data from a total of 108 Italian innovative SME. We have used the Partial Least Squares Structural Equation modeling (PLS-SEM) approach using SmartPLS for model evaluation.FindingsThe results show that “efficiency and security” is an important driver of firms' decision-making process to adopt Blockchain. Moreover, the results show that perceived usefulness is a strong predictor of the intention to use Blockchain in business processes.Originality/valueThis research advances the literature on technology adoption in business processes, focusing on a particular technology: Blockchain. The field has been strengthened by investigating the determinants of technology adoption, adding new perspectives; both reduced cost and efficiency, and security.

What influence users’ e-finance continuance intention? The moderating role of trust

2018 ◽  
Vol 118 (8) ◽  
pp. 1647-1670 ◽  
Author(s):  
Wangyue Zhou ◽  
Zayyad Tsiga ◽  
Boying Li ◽  
Shuning Zheng ◽  
Shuli Jiang
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Website Quality ◽  
Content Type ◽  
Positive Effects

Purpose The purpose of this paper is to identify antecedents of e-finance continuance intention with Alibaba’s Yu’E Bao as an example. Design/methodology/approach An online questionnaire was used to collect the data (n=293), and partial least squares structural equation modeling was employed for data analysis. Four e-finance features (perceived reputation, website quality, e-finance familiarity and situational normality) are introduced with trust acting as a moderator between the users’ satisfaction and continuance intention to use an e-finance platform. Findings The results find that website quality, familiarity and situational normality can influence perceived ease of use (PEOU) and perceived usefulness (PU). PEOU and PU, together with reputation, are positively associated with confirmation which further leads to satisfaction. The positive effects that satisfaction and trust have on e-finance continuance intention are confirmed, and trust is found to be a significant moderator on the relationship between satisfaction and continuance intention. Practical implications The findings can be used to guide e-finance providers to improve their platform design and services to retain users. Originality/value This study combines the theory of trust, Technology Acceptance Model and Expectations Confirmation Theory to investigate the factors that influence the continuance intention in the context of e-finance in China.

Adoption of mobile banking at the bottom of the pyramid: an emerging market perspective

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sonal Purohit ◽  
Rakhi Arora
Keyword(s):  
Technology Acceptance ◽  
Migrant Workers ◽  
Structural Equation ◽  
Emerging Market ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Bottom Of The Pyramid ◽  
Mobile Banking ◽  
Content Type

PurposeThis paper aims to investigate the factors that affect mobile banking adoption among the bottom of the pyramid (BoP) group in an emerging market.Design/methodology/approachData were collected from 332 bank customers in the BoP group through a questionnaire based on previously validated scales. Structural equation modeling (SEM) was applied using SmartPLS 2.0 to analyze the data.FindingsIt was found that perceived usefulness (PU) and perceived ease of use (PEoU) influence the attitude toward mobile banking positively whereas the perceived risk (PR) and perceived deterrents (PDs) influence the attitude negatively. The subjective norms (SNs) and the attitude positively affect mobile banking adoption. Knowledge of mobile banking has a strong effect on the PEoU, but it does not influence the PU of mobile banking.Originality/valueThis research makes an original contribution to the extant research and fills the gap by exploring the factors that affect the mobile banking adoption among a distinct BoP group (migrant workers) in an emerging market. The authors make use of knowledge of mobile banking and PDs as novel and important constructs in the technology acceptance model (TAM) to explore the factors that affect mobile banking adoption among the BoP.

Mobile commerce adoption among the bottom of the pyramid: a case of street vendors in Thailand

2019 ◽  
Vol 10 (1) ◽  
pp. 193-213 ◽  
Author(s):  
Tanikan Pipitwanichakarn ◽  
Nittaya Wongtada
Keyword(s):  
Technology Adoption ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Mobile Commerce ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Street Vendors ◽  
Content Type ◽  
Acceptance Model

Purpose This study aims to investigate the applicability of technology acceptance model in explaining technology adoption among street vendors in Thailand as a representation of emerging economies. Design/methodology/approach A pen-and-pencil survey was administered to 370 street vendors in Bangkok; 356 usable surveys were analyzed for a completed rate of 96.2 per cent. Structural equation modeling was used to analyze the data. Findings This study contributes to the existing technology acceptance literature as follows: First, the predictive power of the technology acceptance model is strong and holds true for street vendors. Second, it revealed that the relationship of entrepreneurial orientation and technology adoption is completely connected through the decision-making process (i.e. trust and system characteristics, otherwise known as usefulness and ease of use). Finally, the degree of product differentiation strengthens the positive relationship between perceived usefulness and the intention to use mobile commerce. Originality/value This study advances the previous research on e-commerce adoption in settings outside the formal sector. More specifically, this study developed and validated the extended technology acceptance model in the smallest-scale of entrepreneurs, street vendors, to increase the understanding of the adoption of m-commerce.

Determinants of intention to use Islamic banking

2019 ◽  
Vol 13 (1) ◽  
pp. 147-163 ◽  
Author(s):  
Samia Ayyub ◽  
Wang Xuhui ◽  
Muhammad Asif ◽  
Rana Muhammad Ayyub
Keyword(s):  
Consumer Behavior ◽  
Technology Acceptance ◽  
Structural Equation ◽  
Perceived Usefulness ◽  
Practical Significance ◽  
Equation Modeling ◽  
Islamic Banking ◽  
Intention To Use ◽  
Content Type ◽  
Acceptance Model

Purpose This paper aims to explore the determinants of intention to use Islamic banking and compare the consumer behavior of users and non-users of Islamic banking. This study incorporates the theory of planned behavior in Islamic banking perspective with an additional construct from technology acceptance model. Design/methodology/approach The research is quantitative in nature, and survey questionnaire was used to get data from four cities of Pakistan. The study manages to get 300 questionnaires from which only 264 were usable for analysis. The structural equation modeling was used for testing the hypotheses. Findings The result shows that perceived behavior control and perceived usefulness are the most significant predictors of intention to use of Islamic banking among users and non-users. Attitude turns out to be a non-significant factor for non-users of Islamic banking. Subjective norm is also found to be non-significant with intention to use Islamic banking in both groups. Originality/value This study has theoretical as well as practical significance in the subject of consumer behavior in Islamic banking. Theoretically, it attempts to fill the gap caused by the scarcity of research in exploring the consumer behavior towards Islamic banking in Pakistan. This study provides insights into the consumer behavior of users and non-users of Islamic banking and thus presents a comparison. Practically, this study provides guidelines for Islamic banks in introduction, propagation and promotion of Islamic banking products and services to establish Islamic banking as a social norm.

Factors influencing Generation Y’s tourism-related social media activity: the case of Polish students

2020 ◽  
Vol 11 (3) ◽  
pp. 543-558
Author(s):  
Joanna Kowalczyk-Anioł ◽  
Marek Nowacki
Keyword(s):  
Social Media ◽  
Social Influence ◽  
Technology Acceptance ◽  
Perceived Risk ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Related Activity ◽  
Content Type

Purpose This study aims to identify the factors which affect Generation Y’s activity in social media (SM) while traveling. It draws on and extends the technology acceptance model (TAM) and social influence theory. It examines the effects of social influence processes (compliance, identification and internalization), perceived enjoyment (PE), perceived risk, perceived ease of use and perceived usefulness on tourism-related SM activity. Design/methodology/approach The study tested the model with a sample of 420 Polish Y’s who had traveled in the preceding 12 months and used SM. The verification of the hypotheses and the analysis of relationships between the variables were performed using partial least squares structural equation modeling. Findings Out of the four variables of the TAM, only PE has significantly and directly affected Ys’ tourism-related activity in SM. From among the three processes of social influence, only internalization has had a significant impact on the enjoyment of SM use and, consequently, on the SM activity of Generation Y. Research limitations/implications This study covered only Polish Y’s. In the future, the formulated hypotheses should be verified in other generational cohorts, in sub-cohorts of Y’s and in other cultural contexts. Furthermore, limitations include lack of randomization of the survey distribution. Practical implications The presented results show a generational portrait of an increasingly important consumer group on the tourism market in relation to factors affecting their tourism-related activity in SM. Originality/value This is one of few studies (the first in the Central and Eastern Europe context) to examine Generation Y’s adoption of SM in tourism-related activity drawing on and extending the TAM and processes of social influence.

Understanding cloud ERP continuance intention and individual performance: a TTF-driven perspective

2020 ◽  
Vol 27 (4) ◽  
pp. 1591-1614 ◽  
Author(s):  
Yung-Ming Cheng
Keyword(s):  
Technology Acceptance ◽  
Enterprise Resource Planning ◽  
Structural Equation ◽  
Resource Planning ◽  
Individual Performance ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Content Type

PurposeThis study's purpose is to propose a hybrid model based on expectation-confirmation model (ECM) and technology acceptance model (TAM) to examine whether organizational users' perceived task-technology fit (TTF) in cloud enterprise resource planning (ERP) as an antecedent to user beliefs can directly and indirectly affect their continuance intention of cloud ERP and individual performance.Design/methodology/approachSample data for this study were collected from end users of cloud ERP working in companies in Taiwan. A total of 500 questionnaires were distributed in the 50 sample companies, and 355 (71.0%) usable questionnaires were analyzed using structural equation modeling in this study.FindingsThis study showed that organizational users' perceived TTF contributed positively to their perceived usefulness, confirmation and perceived ease of use of cloud ERP, which in turn directly and indirectly led to their satisfaction with cloud ERP, continuance intention of cloud ERP and individual performance; that is, this study's findings strongly supported the research model integrating ECM, TAM and TTF model with all hypothesized links being significant.Originality/valueThis study contributes to an understanding of the TTF model in explaining organizational users' cloud ERP continuance intention that is difficult to explain with only their utilitarian perceptions of cloud ERP. Further, it is especially worth mentioning that this study places considerably more emphasis upon organizational users' individual performance greatly driven by their perceived TTF in cloud ERP and continuance intention of cloud ERP. Thus, this study's empirical evidence on incorporating ECM, TAM and TTF model can significantly enhance better understanding of the outcomes for cloud ERP continuance intention and shed light on the possible formulation of a richer post-adoption model.

Self-efficacy as an antecedent of cognition and affect in technology acceptance

2014 ◽  
Vol 31 (3) ◽  
pp. 190-199 ◽  
Author(s):  
Songpol Kulviwat ◽  
Gordon C. Bruner II ◽  
James P. Neelankavil
Keyword(s):  
Technology Acceptance ◽  
Self Efficacy ◽  
Structural Equation ◽  
Emotional Reactions ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
External Variable ◽  
Content Type ◽  
Cognition And Affect

Purpose – This paper aims to examine whether self-efficacy plays an important role in shaping the effect of cognition and affects in high technology adoption. It also examines whether cognition and affect mediate the effect of self-efficacy on attitude toward adoption. Design/methodology/approach – Using an experimental survey to collect data, subjects performed two different tasks (utilitarian and hedonic) to make sure that they had cognitive and affective experiences to draw upon as they developed attitudes toward the focal innovation. Structural equation modeling was used to analyze the model. Findings – The result shows that self-efficacy influenced cognitive perceptions and emotional reactions. Specifically, self-efficacy was found to play a substantive role in shaping individuals’ attitudes via a cognitive route (perceived usefulness and ease-of-use) and an affective one (pleasure, arousal and dominance). Research limitations/implications – The study of self-efficacy as an external variable provides further insights into the process and is expected to increase the explained variance of the theoretical model. Practical implications – This study confirms that a belief about something besides the product also plays a key role; it is the confidence consumers have in their own abilities to understand and effectively use a new piece of technology. Originality/value – The research makes important contributions to our understanding of technology acceptance and has implications for marketing managers.

Consumer acceptance of smart speakers: a mixed methods approach

2018 ◽  
Vol 12 (4) ◽  
pp. 418-431 ◽  
Author(s):  
Pascal Kowalczuk
Keyword(s):  
Technology Acceptance ◽  
Structural Equation ◽  
Online Survey ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Smart Devices ◽  
Intention To Use ◽  
Content Type ◽  
Acceptance Model

PurposeVoice-activated smart speakers such as Amazon Echo and Google Home were recently developed and are gaining popularity. Understanding and theorizing the underlying mechanisms that encourage or impede consumers to use smart speakers is fundamental for enhancing acceptance and future development of these new devices. Therefore, building on technology acceptance research, this study aims to develop and test an acceptance model for investigating consumers’ intention to use smart speakers.Design/methodology/approachFirst, antecedents that may significantly affect the usage intention of smart speakers were identified through an explorative approach by a netnographic analysis of customer reviews (N= 2,186) and Twitter data (N= 899). Afterward, these results and contemporary literature were used to develop and validate an acceptance model for smart speakers. Structural equation modeling (SEM) was used to test the proposed hypotheses on data collected from 293 participants of an online survey.FindingsBesides perceived ease of use and perceived usefulness, the quality and diversity of a system, its enjoyment, consumer’s technology optimism and risk (surveillance anxiety and security/privacy risk) strongly affect the acceptance of smart speakers. Among these variables, enjoyment had the strongest effect on behavioral intention to use smart speakers.Originality/valueThis is the first study that incorporates netnography and SEM for investigating technology acceptance and applies it to the field of interactive smart devices.

The perceptions of SME retailers towards the usage of social media marketing amid COVID-19 crisis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Muhammad Talha Salam ◽  
Hamza Imtiaz ◽  
Muhammad Burhan
Keyword(s):  
Social Media ◽  
Qualitative Study ◽  
Technology Acceptance ◽  
Quantitative Study ◽  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Social Media Marketing ◽  
Equation Modeling ◽  
Content Type

Purpose During the COVID-19 crisis, diversified attitudes and behaviors of structural equation modeling (SME) retailers were observed in using social media marketing that could have helped mitigate the adverse effects of this crisis on businesses. This paper aims to present a thorough investigation of these perceptions and limited acceptance of social media marketing among SME retailers in a developing country during a crisis. Design/methodology/approach The investigation was designed using a mixed-method design. A qualitative investigation, as the first part, explored SME retailers’ perceptions of the use of social media marketing when they were faced with mandatory lockdown that stifled their business activity. The insights from qualitative study and literature helped devise the second part of the study, a quantitative study using the technology acceptance model (TAM). Analysis of responses from a sample of SME retailers (n = 149) was done using SEM in this study. Findings In the qualitative study, SME retailers were found to have a varying outlook toward social media marketing. Some ventured into social media marketing while others were impeded by their limited understanding. The second (quantitative) study showed the general applicability of TAM such that perceived ease of use through perceived usefulness influenced SME retailers’ attitudes toward the usage of social media marketing during the COVID-19 crisis. An important finding in both studies was that business owners’ education level influenced their perceptions of social media marketing. Research limitations/implications The investigation, albeit a comprehensive one, was conducted in a particular market and for SME retailers. This opens avenues for conducting similar studies in other segments of entrepreneurs to generate insights based on comparative analysis across segments and scenarios. Originality/value Limited or no marketing in the physical marketplace amid lockdown meant almost an existential crisis for entrepreneurs, especially SME retailers, in developing countries during the COVID-19 crisis. While technology acceptance by SME retailers has been discussed in the literature, there are limited discourses on technology acceptance among entrepreneurs and SME retailers during a crisis. These findings from the COVID-19 crisis explicate the possibilities and limitations of technology usage as a means to mitigate challenges faced by entrepreneurs during a crisis.

scholarly journals Predicting students’ intention to adopt mobile learning

2018 ◽  
Vol 11 (2) ◽  
pp. 178-191 ◽  
Author(s):  
Charles Buabeng-Andoh
Keyword(s):  
University Students ◽  
Technology Acceptance ◽  
Mobile Learning ◽  
Structural Equation ◽  
Reasoned Action ◽  
Statistical Technique ◽  
Perceived Usefulness ◽  
Equation Modeling ◽  
Intention To Use ◽  
Content Type

Purpose The purpose of this paper is to explore the ability of the integration of technology acceptance model (TAM) and theory of reasoned action (TRA) to predict and explain university students’ intention to use m-learning in schools. Design/methodology/approach In total, 487 students participated in this study. A seven-likert scale survey questionnaire which comprised of 23 items was completed by the students. Structural equation modeling was used as the statistical technique to analyze the data. Findings The study found that the resulting model was fairly able to predict and explain behavioral intention (BI) among students in Ghana. In addition, this study found that attitudes toward use and subjective norm significantly influenced students’ BI to use mobile learning. The model explained 23.0 percent of the variance in BI, 33.8 percent in perceived usefulness and 47.6 percent in attitudes toward use. Of all the three endogenous variables, attitude had the greatest effect on BI. Originality/value Although, the above-mentioned models have been adopted in many studies, few or none have combined TRA and TAM as a research framework to predict and explain students’ intention to use m-learning since m-learning is fairly new in educational environments. Therefore, a model that combines all constructs from TRA and TAM was proposed in this study to explore university students’ intention to use m-learning in schools.

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