scholarly journals Factors Influencing Purchase Intention of Elancing Using UTAUT Model: A Case Study of Mahajasa

2021 ◽  
Vol 6 (9) ◽  
pp. 563-564
Author(s):  
Hanifah Dwi Adiratna ◽  
Amilia Wulansari

Abstract Technology advancements have given rise to a new labor market mechanism known as elancing, where people could purchase freelance services through online sites. Following the trend, Mahajasa as a freelance marketplace startup has to compete with other existing competitors in Indonesia. Established for a year, fluctuating revenue and unknown intention of buying is incurred. Mahajasa aims for SMEs and students across Indonesia. But some recent studies stated that SMEs in Indonesia are reluctant to accept new technology since most marketplaces are in the adoption stage. This study's main objective is Understanding the most influential factors of purchase intention in buying services from freelance marketplace or freelance social media using UTAUT model. The research concluded 386 respondents from Indonesia who had used elancing platforms aged 15-44 years old and analyzed using SmartPLS. The result showed performance expectancy, effort expectancy, social influence, and perceived trust has a positive impact on purchase intention. While perceived trust has a partial mediating role between performance expectancy, effort expectancy, and social influence to purchase intention.

Author(s):  
Khalizul Khalid Et.al

The 21st-century learning demands for teachers to become a central agent in fostering various skills to students. Concurrently, teachers were also encouraged to utilize ICT in scaling up learning quality. In support of this initiative, this study introduced a crowdsourcing platform called Krumun.org developed specifically for Malaysian teachers. This exam-building crowdsourcing platform enables teachers to create, edit, and share assessment instruments. However, whether teachers will use the platform will depend on their acceptance of this new technology. Therefore, the main objective of the study is to determine teachers' acceptance factors in regards to the use of this crowdsourcing platform through the Unified Theory of Acceptance Use Technology (UTAUT) model. Questionnaires were distributed to 155 teachers who participated in Krumun.org trial launch. Partial least squares (PLS) was employed to analyze the research model through Smart-PLS 3. It is conclusive that performance expectancy (PE), self-efficacy (SE), and facilitating conditions (FC) affect behavioral intention to accept the crowdsourcing platform, Krumun.org. However, there was not enough evidence to support Effort Expectancy. Therefore, to increase the number of teachers utilizing this platform, these three factors should be prioritized. The findings of the study could also be of assistance to any related party that was planning to introduce new technology to teachers.


Author(s):  
Sunday Adewale Olaleye ◽  
Ismaila Temitayo Sanusi ◽  
Dandison C. Ukpabi

This chapter describes how mobile money is an emerging and innovative financial service delivery mechanism. With huge success, recorded mostly in the developing economies, it is scholarly unclear the antecedents of its adoption. Using a survey of 151 respondents comprising both the banked and underbanked in the South-Western part of Nigeria, the authors used the PLS-SEM to test the research hypothesis. The results reveal the enablers of mobile money, which are social influence, performance expectancy, security and effort expectancy, and inhibitors such as system anxiety and cost. Privacy, trust, image and convenience were not found significant in this study. Social influence, performance expectancy and effort expectancy variables adapted from the UTAUT model have considerable influence on mobile money in Nigeria. Study implications and future directions are offered.


Author(s):  
Mohd Izzat Latifa ◽  
Zukarnain Zakaria

Recently, Blockchain technology has attracted great attention in both private organisations and the public sector around the world. However, not many are aware and understand this new technology. Thus, lack of understanding of the Blockchain technology could influence the intention in adopting the technology. Therefore, the objective of this paper is to identify the behaviour intention towards adopting Blockchain Technology in the Malaysian Public Sector. Data were gathered using a questionnaire to analyse the relationship between factors such as Performance Expectancy, Effort Expectancy, Social Influence, Facilitating Conditions and Trust with Behavioural Intention to adopt Blockchain Technology. The data were gathered from 100 officers in various government department. The survey revealed that majority of the government officers are aware about the Blockchain technology. However, most of them have inadequate exposure and knowledge about the technology. Findings from the regression analysis found that Trust, Performance Expectancy and Social Influence positively and significantly influence the behaviour intention of government officers in adopting Blockchain technology. Meanwhile, Effort Expectancy and Facilitating Conditions were found not significant. The findings from this study suggest that it is essential to develop strategies to implement a suitable Blockchain application in the public sector. Prior to such implementation, it is imperative for government officers to be equipped with knowledge, skills and resources related to the Blockchain technology.


Author(s):  
Eduardo Esteva-Armida ◽  
Alberto Rubio-Sanchez

This chapter tests the appropriateness of the Unified Theory of Acceptance and Use of Technology (UTAUT) model in the context of end user consumption by means of an online survey with 475 respondents (24% response rate). The study shows which factors have the greatest impact on the adoption process of VoIP technology in the US market in addition to the interactions of the main variables in the model (Performance Expectancy, Effort Expectancy, Social Influence, and Behavioral Intention to Adopt) and whether Trust can improve the predictive value of the UTAUT model to explain intention to adopt. Partial Least Squares (PLS) is used to evaluate the interactions of the main variables. The model includes four moderator variables (Gender, Age, Experience, and Voluntariness of Use). The results support most of the relationships identified in the original UTAUT model. More specifically, Performance Expectancy appears to have the strongest influence on the Intention of a consumer to adopt a new technology. The study provides information about whether the inclusion of Trust can generate good results for industry.


2020 ◽  
Vol 4 ◽  
pp. 00016
Author(s):  
RR. Adi Hendraningrum ◽  
Brainnanda Kevin Christanta ◽  
Cindiyosi Harits Ramadhani ◽  
Lalu Syafril Rahmadio

<p class="Abstract">This research is motivated by a collaboration between the Ministry of Tourism of the Republic of Indonesia and Grab Companies in Indonesia to provide tourism features in Grab Mobile Application. It is hoped that with this collaboration, tourists can use the application to travel and provide benefits. Based on this phenomenon the researcher wants to know how technology acceptance is, by using five factors, namely perceived performance expectancy, perceived effort expectancy, perceived trust, social influence, and perceived quality. This type of research is quantitative research with descriptive statistical research methods. The subjects of this study were 110 users of the Grab mobile application in Bandung. Data collection techniques that are used by researchers is by distributing questionnaires. In this research, we will discuss about 5 UTAUT factors in using the Grab application. The results of the study explained that the five factors show the good category where the perceived performance expectancy factor got score 2131 from 2750 as ideal score, perceived effort expectancy got 1362 from 1650, the perceived trust received 2519 from 3300, social influence got 845 from 1100 and perceived quality got 2854 from 3850. Suggestions regarding the Grab application in this study include intensifying the promotion of the Grab application and its tourism features so that more people are aware of and use the Grab application in tourism activities.&nbsp;<o:p></o:p></p>


Smartphone is a wireless having progressed working framework which can be performed like a typical PC. The motivation behind examination is to inspect the behavior factors that impact the administration students to acknowledge Smartphone for learning in partnered colleges of Savitribai Phule Pune University (SPPU) in Pune. In this examination, we inspect the determinates of UTAUT model, for example, Performance Expectancy (PE), Effort Expectancy(EE), Social Influence (SI) and Facilitating Condition (FC) concerning use of Smartphone by the students of Management of (SPPU). The examination is done utilizing polls disseminated to 770 students. The estimating instrument comprised of 15 things. Thing react depended on a 5-point Likert-type scale. The Cronbach's alpha of the survey was 0.980, showing its high inner consistency. Results of logistic regression revealed that the significant items were Facilitating Condition (FC) followed by Performance Expectancy (PE), Social Influence (SI) and Effort Expectancy (EE).


2013 ◽  
Vol 41 (4) ◽  
pp. 587-597 ◽  
Author(s):  
Ji-Hwan Lee ◽  
Chi-Hoon Song

We explored the precise impacts of trust and perceived risk on the core constructs of the unified theory of acceptance and use of technology (UTAUT). We applied the UTAUT model to the novel context of the Certified e-Document Authority (CeDA) service used in the Republic of Korea. Our results from structural equation modeling largely supported our hypotheses. Trust and perceived risk were shown to be direct antecedents of intention to use, and trust functioned as an indirect antecedent. Performance expectancy and social influence were shown to positively affect behavioral intention. Effort expectancy was also shown to influence performance expectancy. The combination of trust, perceived risk, performance expectancy, effort expectancy, and social influence accounted for 55.3% of the variance observed in users' intention to use CeDA services.


SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110278
Author(s):  
Lingming Chen ◽  
Md. Salamun Rashidin ◽  
Fei Song ◽  
Yi Wang ◽  
Sara Javed ◽  
...  

Despite the booming market of fresh food, the fresh e-commerce platform holds only a limited market share, owing to the lack of habitual usage of these platforms. This article explores the determinants of purchase intention when using a fresh e-commerce platform. The integrated technology acceptance model (Unified Theory of Acceptance and Use of Technology [UTAUT]) is employed as the framework. A questionnaire survey was conducted and is analyzed using the structural equation model. We find that both performance expectancy and social influence have a significantly positive effect on consumers’ purchase intention using fresh e-commerce platforms, while perceived risk has a significantly negative effect. Perceived trust plays a mediating role between performance expectancy and purchase intention, social influence and purchase intention, as well as perceived risk and purchase intention. In addition, food safety awareness is a moderator between perceived trust and purchase intention.


2018 ◽  
Vol 8 (1) ◽  
pp. 33
Author(s):  
Alfan Amrullah ◽  
Anjar Priyono

Abstract: This research aims to analyse the acceptance of Go-Ride, motorbike taxibooking application, using Unified Theory of Acceptance and Usage of Technology(UTAUT) model. The uniqueness of this study is that it integrates risk into the UTAUTmodel. Four variables were used as independent variables including peformanceexpectancy, effort expectancy, social influence and facilitating condition. Meanwhile,three variables are used as moderating variables: gender, age and experience.University students were selected as respondent because young age people tends to bemore risk takers in comparison to the old one. According 151 data samples collectedfrom university students, the results demonstrated that acceptance of Go-Ridetechnology influenced by four factors: performance expectancy, effort expectancy,social influence and behavioral intention On the otherhand, performance risk, financialrisk, time risk and facilitating condition do not support to the acceptance and usage ofGo-Ride technolology.


Author(s):  
Verina Risky Andwika ◽  
R. Wahjoe Witjaksono

Unified Theory of Acceptance and Use of Technology (UTAUT) is a model used to describe user behavior towards the acceptance of information technology. UTAUT is a development of eight previous leading theories. UTAUT has four constructs that can be a significant direct determinant of behavioral intention and use behavioral, ie performance expectancy, effort expectancy, social influence, and facilitating conditions. This model is then used to analyze user acceptance of Enterprise Resource Planning (ERP) at PT Wijaya Toyota Dago. ERP is a system that can help companies to integrate one process with another process, in order to achieve company goals. This research will explain about the relation of factors influencing acceptance and usage of ERP by using UTAUT model. This research is an explanative research with data analysis technique using PLS (Partial Least Square). Data obtained comes from respondents who are employees of After Sales function of PT Wijaya Toyota Dago, data obtained by way of distributing the questionnaire tertuup. The sample size in this study was 37 resondents and analyzed using SPSS and SmartPLS applications. The analysis results are as follows: (1) Variable Performance Expectancy (PE) has a positive and significant influence on Behavioral Intention (BI); (2) Variable Effort Expectancy (EE) has a positive and significant influence on Behavioral Intention (BI);(3) Social Influence Variables (SI) have a positive and significant influence on Behavioral Intention (BI); (4) Variable Facilitating Conditions (FC) has a positive and significant influence on Use Behavior; (5) Social Influence (SI) variable has positive but not significant influence on Behavioral Intention (BI).


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