Determinants Of The Successful Usage Of A Firm’s Sns Page

This research-in-progress paper aims to investigate the determinants for the successful usage of social network services (SNS) from the perspective of a firm. A new type of commercial community operated by a firm in public SNS is defined as a firm’s SNS page and the success of encouraging users’ adoption and continued usage of a firm’s SNS page is further defined as SNS success. Based on solid theoretical foundation of communicative ecology theory, a conceptual research model of SNS success is proposed. It is composed of the content quality, service quality, and social interaction quality as antecedents. Among these elements, social interaction quality is newly developed to reflect the value of interaction among community members as a second-order variable which consists of exchange information, social support, and friendship. In addition, incentives and the network size are examined as moderating variables. After building the research model and hypotheses, the measurement scales and the results of a pilot study to verify the items are described. At the end of the paper, the conclusion and the expected contribution are discussed

Factors influencing perceived ease of use, attitude and behavioral intention to enhance ICT learning motivation in higher education in Cambodia

The purpose of this research aimed to evaluate the effects of perceived ease of use, attitude and behavioral intention to enhance ICT learning motivation in higher education in Cambodia. Therefore, this research result is beneficial to promoting of the learning environment among university student population who are struggling with application of ICT as tool in education program. The study was conducting quantitatively and applied the multi-stage sampling technique via employing purposive sampling, simple random sampling, and quota sampling method. A sample size of 521 students from the three private universities in Phnom Penh, Cambodia. This study adapted the Confirmatory Factor Analysis (CFA) and the Structural Equation Model (SEM) to identify the relationship and the impact of determinants of perceived ease of use, attitude and behavioral intention to enhance ICT learning motivation in higher education in Cambodia. The results showed that Perceived ease of uses, information technology and attitude have significant impact on behavioral intention. Moreover, Perceived ease of uses and social influence have significant impact on Perceived usefulness. Also, facilitating conditions has significant impact on Perceived ease of uses. Likewise, information technology has significant impact on attitude. Additionally, task-technology fit has significant impact on attitude. Furthermore, Perceived usefulness, social influence, facilitating conditions, and facilitating conditions have no significant impact on behavioral intention

INTEGRATING TRA AND TOE FRAMEWORKS FOR CLOUD ERP SWITCHING INTENTION BY TAIWANESE COMPANY

ERP systems had played an important role in Taiwanese industry in the past. Nowadays, most of companies have already install traditional type of ERP. However, with the development of cloud computing recently, the scope of applying cloud computing have been gradually expanded to the enterprise information system, such as cloud CRM provided by Salesforce.com, Business by Design provided by SAP. The model in this study is based on TOE model combination of Theory of Reasoned Action(TRA). We try to develop a model and utilize this model to defines critical effect factors to company’s intention of switching to cloud ERP from traditional type of ERP. This study used quantitative research methods and survey questionnaire, dates were collected from the 283 employees in Taiwanese company whose companies have already install traditional type of ERP and for cloud ERP have a certain understanding. This research has adopted SPSS and AMOS to analyse the reliability and validity. Last, structural equation model (SEM) for the data analysis to investigate the causalities among all parameters constructed in the proposed model. The results of this study were summarized as follows： The attitude of switching to cloud ERP positively impacted the intention of switching to cloud ERP, system quality positively impacted the attitude of switching to cloud ERP, financial benefit positively impacted the attitude of switching to cloud ERP, the trust factor positively impacted the attitude of switching to cloud ERP, industries pressure positively impacted the intention of switching to cloud ERP, surprisingly, government support is not perceived significant impacted the intention of switching to cloud ERP. This study provides a well criteria for cloud ERP vender, not only system design but also system sales. In addition, business user can also utilize this criterion

Understanding the Turnover Intention of Crowd Workers of Microtask Crowdsourcing Platform

Microtask crowdsourcing is a relatively new work form enabled by information technologies. For both practitioners and academics, understanding the turnover intention of the users, requesters and crowd workers respectively, of microtask crowdsourcing is very important. However, compared with the relatively large literature on requester, studies focusing on worker crowd workers are limited. Therefore, in this study, we investigate the crowd workers’ intentions to leave the microtask crowdsourcing. The research goal is to analyze the motivations of crowd workers systematically and identify those factors that influenced their turnover intention. Based on perceived value and justice perspectives, a research model is developed. The proposed hypotheses will be tested using data from Amazon Mechanical Turk

“Share for bargaining?”: A willingness model based on privacy computing theory

The use of mobile coupons to share for bargaining has become an important marketing method for merchants in the field of e-commerce. However, there are still some shortcomings in the existing research on consumers’ willingness to share mobile coupons. First of all, the use and sharing of mobile coupons are analyzed separately. Secondly, most of theories and models in this domain derive from the field of knowledge. Lastly, the influence of different platforms on consumers’ willingness to share are not considered. Therefore, this paper explores the influencing factors of consumers’ willingness to share mobile coupons in different platform scenarios from the perspective of privacy computing, and proposes six hypotheses to construct a structural equation model. Further analysis of 270 valid questionnaires obtained under five scenarios shows that users’ perceived economic benefits and perceived social benefits have a significant positive impact on users’ willingness to share for bargaining, users’ perceived privacy risks have no significant impact on users’ willingness to share for bargaining, and users’ perceived social risks have a significant negative impact on users’ willingness to share for bargaining. Low share for bargaining links will weaken the negative impact of perceived social risk on sharing willingness

Social Environment of Virtual Collaboration Using Mobile Social Media

Mobile social media such as WhatsApp and WeChat greatly facilitate virtual collaboration within and across organizations. Based on the theory of self-interest and collective action, this study investigates how social environment influences user behavior. Corresponding to social capital, weak ties, and adoption thresholds, extrinsic motivation, communication climate and top management support are identified respectively as the main factors of member environment, group environment and organization environment that impact virtual collaboration. The research model hypothesizes that these social-level variables interact with the psychological processes related to technology use at the individual level. The survey results from virtual teams provide supporting evidence to most hypothesized relationships. The findings yield some interesting theoretical and practical implications for the collaborative use of social information systems

Determinants of Undergraduates’ Continuance Intention and Actual Behavior to Play Mobile Games In Chongqing, China

Purpose: The widespread use of the Internet and the increasing of sophisticated production of online games have brought great changes to the life of college students. Consequently, this paper examines the determinants of undergraduate student’s continuance intention and actual behavior to play online mobile games in Chongqing, China. The conceptual framework proposes causal relationships between attitudes, utilitarian outcome expectations, hedonic outcome expectations, subjective norms, time constraint, continuance intentions and actual behavior. Research design, data and methods: Data were collected from 500 undergraduate students in Chongqing. Nonprobability sampling were employed, including judgmental sampling, quota sampling and convenience sampling. Before the data collection, the index of item-objective congruence (IOC) and Cronbach's Alpha were applied to approve validity and reliability. Structural equation model (SEM) and confirmatory factor analysis (CFA) were used for data analysis, including model fit, reliability and validity. Results: Attitude, utilitarian outcome expectation, hedonic outcome expectation, subjective norms, time constraints significantly influence continuance intention. Furthermore, the continuance intention has the strongest influence on the actual behavior of mobile games among students. Conclusions: All hypotheses were proved to be consistent with the research objectives. The results from this study will be useful for mobile game developers and marketers in formulating appropriate applications that will attract more consumers

Dimension of Librarians’ Mobile Information Behavior in an Openness Paradigm Era

Mobile information is a significant access point for human information activities. Theories and models of human information behavior have developed over several decades but have not yet considered the role of the user’s computing device in digital information interactions. This paper reviews the literature that leads to developing a conceptual framework of a study on the librarian mobile information behavior. Based on the literature review, dimensions of mobile information behavior are identified, namely, dimension information needs, dimension information access, information retrieval and dimension of information use. The study is significant to understand the nature of librarians’ behavior in searching, retrieving and using of information via the mobile device. Secondly the study would provide suggestions about various kinds of mobile applications which library can provide for their staff to improve their services

Maximizing Smart Charging of EVs: The Impact of Privacy and Money on Data Sharing

Smart charging has the potential to shift peak load to times of lower demand, which better exploits renewable generation and enhances grid resilience. For increased effectiveness, smart charging requires access to data that consumers might be hesitant to share. To explore which data consumers would share and which factors influence this decision, we adopt the Barth and de Jong’s risk-benefit calculation framework to smart charging and conduct an online-survey (n = 479). We find that most respondents who would share charging details with a smart charging application, are ambivalent about location data and would never share calendar details. When presented with concrete monetary rewards, participants lose their initial reservations and would share all data for an amount dependent on the data’s sensitivity. Thus, our study contributes to research on the privacy paradox by highlighting the importance of calculations between perceived risks and benefits for the decision to share data

Integrating Mobile Technology Quality Service, Trust and Cultural Factors Into Technology Acceptance of Mobile Learning: A Case of the Jordan Higher Education Institution

The success of mobile learning system in higher education depends a lot on the students‟ acceptance of the technology. From an early investigation, students at Jordanian higher educational institutions however are still unwilling to use mobile learning applications and services. The students‟ acceptance should be a key concern for the management of a university in considering the implementation of mobile learning system. The objective of this study is to identify the factors that influence the acceptance of mobile learning system based on the Technology Acceptance Model (TAM). A total of 500 questionnaires were distributed to five universities in Jordan, out of which 398 question-naires were returned, representing 79% response rate. Statistical techniques including bivariate correlation analyses, multiple linear and stepwise regression analyses, T-tests, and One-Way ANOVA were used. The results showed three core determinants: Culture, Trust, and Technology Service Quality as significantly influenced Perceived Usefulness and Perceived Ease of Use. Perceived Usefulness and Perceived Ease of Use moreover have significantly determined Attitude, while Perceived Usefulness and Attitude, have significantly determined users‟ Behavioral Intention. Among the five variables of culture, the study found Power Distance to be the most contributive variable, and Trust in University as the most contributive variable under the Trust factor. Meanwhile, the most contributive variable in Technology Service Quality factor is Accessibility. For the Demographic factors, the study proved that gender, mobile learning experience, and mobile internet experience have significantly influenced students‟ acceptance. Based on the results obtained, the study proposes a model of mobile learning acceptance based on TAM. A comprehensive understanding of this model will assist decision makers to enhance the acceptance of the mobile learning system among students in Jordanian higher educational institutions in the future