Predicting mobile social network acceptance based on mobile value and social influence

2015 ◽  
Vol 25 (1) ◽  
pp. 107-130 ◽  
Author(s):  
Kuan-Yu Lin ◽  
Hsi-Peng Lu
Keyword(s):  
Social Influence ◽  
Social Networking ◽  
Cognitive Effort ◽  
Equation Modeling ◽  
Intention To Use ◽  
Research Model ◽  
Security Risk ◽  
Content Type ◽  
Hedonic Value ◽  
Mobile Social Networking

Purpose – Building upon studies of value theory and social psychology literature, the purpose of this paper is to empirically test a research model that incorporates antecedents of value (mobile convenience, service compatibility, security risk, and cognitive effort) and mobile value (utilitarian and hedonic value), and social influence (social norms and number of peers) to examine factors affecting user intention toward mobile social networking sites (SNSs). Design/methodology/approach – The proposed model was empirically evaluated using survey data collected from 318 users on their perceptions of mobile SNSs. A structural equation modeling (SEM) was used to assess the relationships of the research model. Findings – The results revealed that mobile convenience, service compatibility, security risk, and cognitive effort have a significant and indirect impact on the user acceptance of mobile SNSs through their respective paths on hedonic value and utility value. Practical implications – Mobile SNSs practitioners should focus on enhancing users’ mobile value through perceived benefits, lower perceived costs, and simultaneously developing social influence to further boost users’ intention to use for mobile social networking services. Originality/value – This study contributes to a theoretical understanding of factors that explain users’ intention to use the mobile SNSs.

Adoption of mobile social networking sites for learning?

2015 ◽  
Vol 39 (6) ◽  
pp. 762-778 ◽  
Author(s):  
Choy-Har Wong ◽  
Garry Wei-Han Tan ◽  
Siew-Phaik Loke ◽  
Keng-Boon Ooi
Keyword(s):  
Social Networking ◽  
Learning Community ◽  
Social Networking Sites ◽  
Structural Equation ◽  
Mobile Network ◽  
Research Area ◽  
Equation Modeling ◽  
Content Type ◽  
Mobile Social Networking ◽  
New Research

Purpose – The purpose of this paper is to explore the factors that influence users’ behavioral intention (BI) to adopt mobile social networking sites (mSNS) in facilitating formal/informal learning. Specifically, the study also investigates the association of mobility, reachability and convenience with performance expectancy (PE) and effort expectancy (EE). Design/methodology/approach – Partial least squares structural equation modeling (PLS-SEM) approach was applied to test on 266 valid responses. Findings – The findings indicated that learning compatibility (LC), PE, EE and copyright clearance (CC) has a significant effect on BI. The results also revealed that EE is influenced by mobility, reachability and convenience. PE however was found to be influenced by convenience. Practical implications – The results of this study provides valuable insights and references for practitioners and mobile network providers in developing mSNS in facilitating learning. Originality/value – While mSNS have the potential to become a new research area with numerous benefits for the learning community, there is little research on the adoption factors on mSNS in facilitating learning. This study therefore attempts to close the research gap by contributing to the mobile literatures.

Predictors for the adoption of e-democracy: an empirical evaluation based on a citizen-centric approach

2020 ◽  
Vol 14 (3) ◽  
pp. 523-544 ◽  
Author(s):  
Omar Hujran ◽  
Emad Abu-Shanab ◽  
Ali Aljaafreh
Keyword(s):  
Technology Acceptance ◽  
Empirical Evaluation ◽  
Small Sample ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Intention To Use ◽  
Research Model ◽  
Content Type

Purpose This study aims to explore the factors influencing the intention to use e-democracy. The literature depicted conflicting results regarding such domain and especially in the Middle East, where the authors aim at establishing a solid view of the discipline. Design/methodology/approach A research model was developed based on the theory of planned behavior, technology acceptance model and unified theory for acceptance and use of technology-2. The model hypothesized that perceived public value (PPV), ease of use and enjoyment are major antecedents of attitudes, and subjective norms (SNs), perceived behavioral control (PBC) and attitudes are significant predictors of behavioral intentions. A quantitative cross-sectional design was used. A questionnaire was used to explore Jordanian citizens’ perceptions regarding the research model constructs. A sample of 302 Jordanian citizens filled the surveys based on their awareness of e-democracy concepts and their willingness to participate in the study. This study uses the structural equation modeling approach with partial least square as an analysis method. Findings Findings indicated that PPV, perceived ease of use and enjoyment jointly determine the attitudes of citizens toward e-democracy. Results also suggest that attitudes, PBC and SNs have a significant effect on citizen’s intention to use e-democracy. Finally, this research supported the role of enjoyment as the most significant determinant of citizen’s attitude toward using e-democracy. Research limitations/implications This study is limited by its small sample size and newly developed Arabic instrument. Still, results imply that more research is needed to replicate and validate the instrument and support the role of the selected research constructs. Public institutions are required to make e-democracy applications enjoyable and easy to use. They also need to demonstrate its value to the public. Originality/value To the best of the authors’ knowledge, this study is one of the few studies to explore e-democracy and the first to conduct an empirical study (survey-based) in Jordan. The foundation of the study depended on three robust theories in the technology adoption theories.

Exploring the antecedents of mobile payment service usage

2020 ◽  
Vol 44 (1) ◽  
pp. 299-318 ◽  
Author(s):  
Kuan-Yu Lin ◽  
Yi-Ting Wang ◽  
Travis K. Huang
Keyword(s):  
Perceived Value ◽  
Relative Advantage ◽  
Equation Modeling ◽  
Mobile Payment ◽  
Intention To Use ◽  
Research Model ◽  
Social Self ◽  
Content Type ◽  
Self Image ◽  
Payment Services

Purpose The number of smartphone users has increased with the maturity of mobile networks, which has not only led to a new lifestyle but has also facilitated the development of mobile application services. Smartphones are regarded as essential communication devices. Currently, diverse groups of people are considering using mobile payment services. Thus, the motives for using mobile payment as well as individual motives for continuing usage are of great research interest. The purpose of this paper is to examine the behavioral motivations underlying individual intentions to continue using mobile payment. Design/methodology/approach To explore the factors affecting the intention to use mobile payment services, this study constructed a theoretical framework based on cost-benefit theory that also considers social influences to form an integrated research model that explains the intentions of individuals to use mobile payment services. Online questionnaires were used to evaluate individuals with experience using mobile payment services. A total of 302 questionnaires were collected. Structural equation modeling was employed to assess the relationships among factors included in the research model. Findings Perceived value, social norms and social self-image played crucial roles in the intention to use mobile payment services. Furthermore, perceived benefits (relative advantage and service compatibility) and perceived costs (security risks and perceived fees) determined users’ perceived value. Social self-image positively affected users’ perceived value; in the context of a mobile-oriented information system, the ability of a mobile payment service to satisfy a user’s demands with respect to social self-image influenced the user’s perceived value of using such services. Originality/value This study contributes to a theoretical understanding of factors that explain users’ intention to use mobile payment services.

Consumer online flow experience

2017 ◽  
Vol 117 (10) ◽  
pp. 2452-2467 ◽  
Author(s):  
Chi-Hsun Lee ◽  
Jyh Jeng Wu
Keyword(s):  
Perceived Control ◽  
Structural Equation ◽  
Purchase Behavior ◽  
Equation Modeling ◽  
Flow Experience ◽  
Research Model ◽  
Content Type ◽  
Hedonic Value ◽  
Utilitarian Value ◽  
Online Consumer

Purpose The purpose of this paper is to investigate the consumer experience of flow in an online consumer shopping environment and use online consumer participants to examine how consumer pursuit of shopping value links in turn affects their satisfaction and unplanned purchase behavior. Design/methodology/approach The research model was tested using the data collected from 363 valid questionnaires. Structural equation modeling was employed to verify and validate the research model. Findings The results of this study show that perceived control of flow and concentration will positively affect consumer utilitarian value, while concentration and cognitive enjoyment will positively affect hedonic value. Further, the effect of utilitarian value on satisfaction is greater than that of hedonic value. Finally, hedonic value positively affects unplanned buying behavior. This research results may serve as a reference for online store operators. Research limitations/implications This study used cross-sectional data for its cause and effect analysis. Long-term conclusions based on this study are not possible. Future scholars may consider using a longitudinal approach. Practical implications The results of this study clearly demonstrate that e-commerce operators must construct environments that create flow experiences for shoppers by increasing their perceived control, concentration, and cognitive enjoyment. Doing so will create both utilitarian and hedonic values, making consumers feel satisfied with their shopping experience and leading them to make purchases not originally planned in their shopping list. Originality/value This study’s major contribution is its successful linkage of the dimensions of flow experience to purchase values. Moreover, it confirms that when online shoppers have an unselfconscious flow experience, they will experience both utilitarian and hedonic values, thus increasing their satisfaction.

Factors that affect acceptance and use of information systems within the Maritime industry in developing countries

2019 ◽  
Vol 22 (1) ◽  
pp. 21-45 ◽  
Author(s):  
Isaac Wiafe ◽  
Felix Nti Koranteng ◽  
Thomasina Tettey ◽  
Ferdinand A. Kastriku ◽  
Jamal-Deen Abdulai
Keyword(s):  
Developing Countries ◽  
Information Systems ◽  
Social Influence ◽  
Technology Acceptance ◽  
Partial Least Square ◽  
Equation Modeling ◽  
Intention To Use ◽  
Maritime Industry ◽  
Content Type ◽  
Utaut Model

Purpose Although information and communication technology has become a significant driver for organizational efficiency and effectiveness, there is inadequate empirical research on technology acceptance in the maritime industry especially in developing countries. Literature on how behavior and attitude influence technology acceptance is non-existent. This study therefore aims to augment existing literature on technology acceptance in developing countries with particular emphasis on the maritime industry. Design/methodology/approach The study extended the unified theory of acceptance and use of technology (UTAUT) model to investigate the factors that affect the acceptance and use of INTTRA: a multi-carrier booking and shipping system designed to facilitate ocean trade worldwide. Responses from 198 subjects, collected through a questionnaire, were analyzed using partial least square structural equation modeling. Findings The research model confirmed significant influences of performance expectancy, facilitating conditions, anxiety and attitude towards use on users’ intention to use INTTRA. In contrast, social influence, effort expectancy and self-efficacy did not significantly influence intention to use. Although these findings confirm some proposed relationships in the UTAUT model, it contradicted the cultural dimension argument that developing countries with higher degrees of femininity pay less attention to performance and high attention to social influence. Research limitations/implications The study contributes to knowledge in the area of information systems and technology acceptance in developing countries. Particularly, it seeks to expand literature on adoption within the maritime industry. The study is limited to the sample used for the study, as it used participants from only one country. However, the findings are not generalized for the entire maritime industry but rather Ghana. Originality/value The originality of the study is derived from the provision of literature on adoption within the maritime industry in developing countries. It also provided evidence that challenges existing knowledge on characteristics of countries that exhibits high level of femininity culture as proposed by Hofstede.

Examining user satisfaction and stickiness in social networking sites from a technology affordance lens: uncovering the moderating effect of user experience

2020 ◽  
Vol 120 (7) ◽  
pp. 1331-1360 ◽  
Author(s):  
Zhen Shao ◽  
Lin Zhang ◽  
Kuanchin Chen ◽  
Chenliang Zhang
Keyword(s):  
Social Networking ◽  
User Experience ◽  
User Satisfaction ◽  
Social Networking Sites ◽  
Moderating Effect ◽  
Equation Modeling ◽  
Research Model ◽  
Content Type ◽  
Technology Affordance ◽  
The Impact

PurposeThe aim of this study is to explore, identify and understand the impact of technology affordance in the context of social networking sites (SNSs). Moreover, this study incorporates user experience as a moderator, in order to explore behavioral differences between veterans (high-experience users) and newbies (low-experience users).Design/methodology/approachA research model was developed to examine the influences of three technology affordances: interactivity, information and navigation on user satisfaction and SNS stickiness. Totally 266 data were collected from a famous college in China using an online survey, and structural equation modeling technique was used to examine the proposed research model.FindingsThe empirical research findings indicated that the three technology affordance attributes exhibited different degrees of influence on user satisfaction, which in turn facilitated SNS stickiness. Particularly, high-experience users were more likely influenced by interactivity and information affordances, while low-experience users are more susceptible to navigation affordance.Practical implicationsThis study can provide guidelines to the platform administrators to design SNSs from the aspects of interactivity, information and navigation attributes and pay attention to the preference differences between high-experience users and low-experience users.Originality/valueThis study uncovers the significant antecedents of SNS stickiness from a technology affordance lens and reveals the moderating effect of user experience on the relationship between three technology affordance attributes and satisfaction.

Pre-service teachers’ intention to use learning management system: an integration of UTAUT and TAM

2020 ◽  
Vol 17 (4) ◽  
pp. 455-474
Author(s):  
Charles Buabeng-Andoh ◽  
Charles Baah
Keyword(s):  
Preservice Teachers ◽  
Social Influence ◽  
Technology Acceptance ◽  
Behavioral Intention ◽  
Management System ◽  
Learning Management System ◽  
Intention To Use ◽  
Research Model ◽  
Content Type ◽  
Learning Management

Purpose This paper aims to develop and test a research model to explore the factors that influence pre-service teachers’ intention to use learning management system (LMS). Design/methodology/approach A cross-section study was conducted. A survey questionnaire was used to collect data from participants. The total number of participants was 361 pre-service teachers. Partial least square structural equation model was used to analyze the data. Findings The findings of this study found that the research model explained approximately 43% of the variance in behavioral intention. Also, the findings revealed that attitude and social influence had an effect on behavioral intention to use technology, but the facilitating condition had no effect on behavior intention to use technology. Finally, performance expectancy, effort expectancy and social influence had an effect on attitude while facilitating condition had no effect on attitude. Originality/value In technology acceptance research, unified theory of acceptance and use of technology (UTAUT) and technology acceptance model (TAM) have been broadly designed and empirically tested to elucidate the determinants that impact users’ intention to operate technology in the developed world. However, research on the validation of TAM and UTAUT to explain the determinants that influence preservice teachers’ intention to use a LMS in developing countries is insufficient. Therefore, it is important to evaluate the efficacy of the integrated model of TAM and UTAUT to explain preservice teachers’ intention to use technology and explore the influential determinants that explain preservice teachers’ intention to use LMS.

Why do people use microblogs? An empirical study of Plurk

2015 ◽  
Vol 28 (2) ◽  
pp. 281-303 ◽  
Author(s):  
Li-Chun Huang ◽  
Wen-Lung Shiau
Keyword(s):  
Structural Equation ◽  
Online Survey ◽  
Behavioral Control ◽  
Personal Characteristics ◽  
Equation Modeling ◽  
Perceived Behavioral Control ◽  
Intention To Use ◽  
Research Model ◽  
Content Type ◽  
Past Experiences

Purpose – The purpose of this paper is to investigate the factors that affect how people maintain their friendships by using information on Plurk. Design/methodology/approach – This study extended the Theory of Planned Behavior model to include both interpersonal curiosity and reciprocity. Data were collected via an online survey with 220 valid samples. The respondents answered the survey questionnaire based on their past experiences using Plurk. The proposed research model was assessed using structural equation modeling as performed in the LISREL program. Findings – The attitude toward using Plurk for maintaining friendships is the strongest predictor of intention to use, followed by perceived behavioral control. The findings indicate that reciprocity has the strongest effect on attitude toward using Plurk for maintaining friendship, followed by subjective norms and interpersonal curiosity. An analysis of the research explained 61 percent of the variance in attitude toward using Plurk for maintaining friendship, and 73 percent of the variance in intention to use Plurk for maintaining friendship. Research limitations/implications – This study only focussed on a limited number of factors, and as a result, the effects of some variables, such as personal characteristics, may have been overlooked. In the future, researchers can extend this model by incorporating more variables into the analysis of maintaining friendships via Plurk. Practical implications – As microblogging firms compete for online customers, it would be useful to gain some understanding of the possible effects of reciprocity and interpersonal curiosity on users’ intention to use Plurk for maintaining friendships. As firms compete for internet marketing, managers should know the potential use of Plurk as an effective channel to promote their products and services to whoever needs them. Originality/value – From the literature available in the public journal databases, no existing research model was found to explain the behavior of Plurk users on microblogs. The paper fulfills this objective.

Determinants of digital zakat payments: lessons from Indonesian experience

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Rahmatina Awaliah Kasri ◽  
Adela Miranti Yuniar
Keyword(s):  
Social Influence ◽  
Online Survey ◽  
Small Sample ◽  
Primary Data ◽  
Easy Access ◽  
Equation Modeling ◽  
Intention To Use ◽  
Content Type ◽  
Performance Expectancy ◽  
Effort Expectancy

Purpose This study aims to determine the factors that influence the intention to use online platforms in paying zakat in Indonesia. Design/methodology/approach This study used the extended unified theory of acceptance and use of technology as the theoretical framework, where zakat literacy is added to the model’s main components (i.e. performance expectancy, effort expectancy, facilitating condition and social influence). Primary data was collected through an online survey involving 223 Indonesian Muslims who have used various online channels to pay zakat and analyzed by using structural equation modeling as the empirical approach. Findings The findings indicate that performance expectancy, effort expectancy, facilitating condition and zakat literacy significantly affect the intention to use an online platform to pay zakat in Indonesia. However, social influence is found to be insignificant in this study. Research limitations/implications The study used a relatively small sample size compared to the Indonesian population’s size. Thus, the results must be interpreted with the sample observed. Practical implications Zakat organizations should make sure that their system is easy for people to make an online zakat payment, as easy access is the most important factor influencing the intention to pay zakat online. They must also increase efficiency and effectiveness of the payment system, enhance quality of the organizational and technical infrastructures and contribute to improving zakat literacy together with other zakat stakeholders. Originality/value This study offers new insights related to the quantitative study on digital zakat and behavior of zakat payers, particularly in Indonesia.

scholarly journals An empirical study on the adoption of blockchain-based games from users’ perspectives

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shang Gao ◽  
Ying Li
Keyword(s):  
Structural Equation ◽  
Ease Of Use ◽  
Perceived Usefulness ◽  
Behavioural Intention ◽  
Equation Modeling ◽  
Intention To Use ◽  
Research Model ◽  
Perceived Ease Of Use ◽  
Content Type ◽  
Blockchain Technology

Purpose The purpose of the research is to investigate users’ adoption of blockchain-based games in China. Design/methodology/approach This research applied existing technology diffusion theories to develop a research model to examine users’ adoption of blockchain-based games. As a result, a research model with nine research hypotheses was developed. The developed research model was empirically tested using data collected from a survey of 210 blockchain-based games users. Structural equation modeling was applied to analyse the collected data. Findings The results indicated that seven of nine research hypotheses were supported. It was found that trust, perceived usefulness, perceived enjoyment and perceived ease of use were key determinants for users’ behavioural intention to use blockchain-based games. The most influential relationship in the research model appeared to be the effect of perceived usefulness on users’ behavioural intention to use blockchain-based games. However, subjective norms did not have significant positive impacts on users’ behavioural intention to use blockchain-based games. Practical implications The regulatory support from governmental authorities is essential to provide additional legal certainty to build users’ trust in playing blockchain-based games. Blockchain-based games providers should arrange the training program targeted to the general users to enhance their understanding of the key features associated with blockchain-based games. Blockchain-based games developers should come up with good design solutions to maximize user enjoyment with blockchain-based games by considering additional entertainment elements. Originality/value To the best of the authors’ knowledge, this study is first of its kind in investigating the adoption of blockchain-based games from users’ perspectives. This study contributes to the existing literature on the adoption of blockchain technology.

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