Whats drive someone to share their knowledge? Indonesia virtual community case

A virtual community is one form of Community of Practices that resides on the internet. This community consists of people who share problems or interests in specific topics. A lot of knowledge comes from this kind of community where the members shared their knowledge voluntarily. Knowledge itself is a valuable resource that gives the owner have an advantage. This research tried to observe what are the driver of this behavior. Knowing these variables could help the organization in defining knowledge sharing system functionality. The variables collected using PRISMA Systematic Literature Review (SLR) protocols, and the hypotheses tested using Partial Least Squares Structural Equation Modeling (PLS-SEM). From this research, we observed that self-efficacy and supporting others significantly influence someone to share their knowledge

An Overall Purchasing Process Model of Internet Buyers: The Role of Regret in Electronic Commerce

This study focuses on the antecedents and consequences of Internet buyer regret in the overall purchasing process. We examine the roles that search effort, service-attribute evaluations, product-attribute evaluations and post-purchase price perceptions play in determining buyer regret and satisfaction in e-commerce. Furthermore, the study examines the consequences of regret and satisfaction in regard to purchasing intention. Survey data collected from 422 respondents were analyzed using structural equation modeling (SEM) with partial least squares (PLS-Graph 3.0) and support provided for the hypothesized links. These results show that greater search effort and lower evaluations of service, product and price lead to greater buyer regret and dissatisfaction; the consequences of regret include reduced satisfaction and less intention to repurchase. Based on the results, implications for online retailers, as well as suggestions for future research relating to Internet buyer regret, are discussed

Smart homes as an IoT application: Predicting attitudes and behaviours

© 2019 IEEE. Smart homes are one of the recent Internet of Things (IoT) applications that offer control and automation to residents to allow them to connect and manage home appliances intelligently. Despite its potential, the success of smart home heavily depends on accepting them by residents. Thus, this study aims to investigate the factors that influence residents acceptance and usage of smart home. By extending the technology acceptance model, this research focused on the role of smart home attributes on the intention to use them and investigate their impact quantitatively by using Structural Equation Modeling (SEM) and Partial Least Squares (PLS). Results show that service personalization, perceived usefulness, and perceived ease of use significantly influence attitude towards smart home which, with the cost and availability factors, impact the intention to use

Actual transaction behavior of Internet Banking Services among Iraqis customers using PLS approach

The main purpose of this research is to identify the factors that encourage adopters to take up the Internet banking services in Iraq This paper is concerned with an empirical investigation of individual factors technology that could predict successful IBSA in Iraq through the applications of planned behavior theory (TPB).This study uses sampling units in a questionnaire survey data of 535 Iraqis public university employees as customers of internet banking services who were using it already.This study applied partial least squares structural equation modeling (PLS-SEM) as the major analysis technique as well as SPSS, since PLS-SEM is a relatively new analytical technique in construction.The findings of this study suggests that attitude and percived behavior control(PBC) have significant and positively influences IBSA, while Subjective norm (SN) is unsuported.Related to individual factors technology (IFT), in this study there are 5 constructs all of them (technology and Internet literacy, resistance to change, risk of technology,and anxiety of technology, and trust of technolology) supported with researcher expectation

Cash in the Trash? An Austrian Perspective on Mobile Payment Adoption

Despite offering many benefits to consumers, merchants, banks, and other providers, mobile payment still has not found widespread acceptance in Austria, for example, in 2015, 15% of Austrian consumers used the Internet or a mobile device for payments and 16% made contactless payments at least once a week. This study sheds light on this issue by taking a consumer perspective and investigating the factors that foster or hinder mobile payment adoption. Three popular user acceptance models were compared and in the end, a unified theory of acceptance and use of technologybased model (UTAUT2) was chosen. The developed model was composed of 12 factors (behavioral intention, utilitarian performance expectancy, hedonic performance expectancy, effort expectancy, social influence, facilitating conditions, perceived risk, perceived security, privacy concerns, trust, cost, personal innovativeness) and three moderators (age, gender, experience). The proposed model was tested using data from 158 Austrian consumers and analyzed with partial least squares structural equation modeling (PLS-SEM). The results showed that 68% of consumers’ intention to use mobile payments could be explained, making it a promising model in the mobile payment research area based on the baseline data. Perceived risk and hedonic performance expectancy are the greatest drivers with psychological risk (a lack of fit with one’s self-image) as the most important risk dimension. The results suggest that mobile payment possesses lifestyle characteristics and its usage needs to be fun in order for consumers to prefer it to cash and cards. Keywords: mobile payment adoption, unified theory of acceptance and use of technology, user acceptance models, partial least squares structural equation modelin

El valor percibido en webs de social commerce: Efectos sobre la lealtad del consumidor.

El estudio del comportamiento del consumidor en webs de social commerce está en auge, debido al gran crecimiento del sector en los últimos años. A pesar de ello, su comprensión se encuentra en su infancia, debido a la multitud de factores influyentes. Esta investigación, a través de la metodología del estímulo-organismo-respuesta, estudia qué papel tiene el valor percibido (O) por el consumidor, mediante el análisis de dos de sus principales antecedentes (calidad del sistema y del servicio) (S), así como de sus efectos sobre la lealtad (R). Los resultados obtenidos a partir de la aplicación de la técnica PLS a una muestra de 272 consumidores habituales de estas webs ponen de manifiesto la gran importancia que la calidad de la web tiene en la generación de valor en el consumidor, así como el rol clave de éste sobre las intenciones del consumidor tanto para volver a comprar como para recomendar.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

The CIO role expectations instrument: validation and model testing

The validation of IS instruments has not been given the attention that it deserves. This study uses component-based structural equation modelling (PLS/SEM) to investigate the psychometric properties and possible modelling of the CIO role expectations instrument based on data obtained from 174 Australian CIOs. Results show that the CIO role expectation instrument has exhibited solid validity and reliability indices despite some minor weaknesses. The results also demonstrate the possibility to model the constructs of this instrument in different null and hierarchical models, and the validity of this instrument to measure the CIO role in different types of industries not just the healthcare sector in which it was developed. The results provide support for CIO role theory on two central issues: (1) CIOs are fulfilling a configuration of roles not just one specific role (2) the CIO roles can be grouped into two major categories: supply side roles and demand side roles

Contribución del comercio electrónico al desempeño de las PyMEs industriales: un modelo estructural

El rol que juegan las Tecnologías de la Información y comunicación (TIC) para lograr un mejor desempeño organizacional aún requiere de un análisis más profundo entre las pequeñas y medianas empresas (PyMEs) de los países en desarrollo. Este estudio pretende ampliar la literatura empírica sobre la relación entre TIC, comercio electrónico y desempeño de las PyMEs en países en desarrollo. Para alcanzar este objetivo, utilizamos una muestra de 87 empresas manufactureras de la ciudad de Bahia Blanca, Argentina correspondiente al año 2015. Mediante la estimación de un Modelo de ecuación estructura, se obtiene que la adopción del comercio electrónico posee una influencia positiva y significativa en las ventas de las PyMEs la cual es potenciada por el nivel de uso de las TIC. Otros factores organizacionales tales como el tamaño de la empresa y los programas públicos explican el desempeño, pero no son predictores significativos de la adopción del comercio electrónico.The role Information and Communication Technologies (ICT) play in achieving a better organizational performance still needs further analysis among small and medium sized enterprises (SME) from developing countries. This study aims to extend the empirical literature on the relationship between ICT, electronic commerce and SME performance in developing countries. To achieve this goal, we employ a sample of 87 manufacturing firms from the city of Bahía Blanca, Argentina in the year 2015. By estimating a structural equation model, we obtain that electronic commerce adoption has a positive and significant influence on SME sales which is reinforced by the level of ICT use. Other organizational factors such as firm size and public programs explain performance, but are not significant predictors of the electronic commerce adoption.Fil: Alderete, Maria Veronica. Universidad Nacional del Sur. Departamento de Economía; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Instituto de Investigaciones Económicas y Sociales del Sur. Universidad Nacional del Sur. Departamento de Economía. Instituto de Investigaciones Económicas y Sociales del Sur; Argentin

BIM: a technology acceptance model in Peru

The purpose of this paper is to empirically study factors that facilitate the adoption of building information modelling (BIM) among practitioners using the unified theory of technology acceptance model (TAM). The factors identified in the TAM were examined using a quantitative approach. The empirical investigation has been conducted using a survey questionnaire. The data set has been obtained from 73 architects and engineers in Peru. Results show that Perceived Usefulness (PU) is the most important determinant of Behavioural Intention (BI), while Perceived Ease of Use (PEOU) is found to have no significant effect on BI. The findings provide an excellent backdrop in the development of policy and a roadmap for BIM implementation in Peru. The original contribution and value of the paper is the use of TAM to provide empirical evidence on factors that facilitate BIM adoption in Peru

Application of the European Customer Satisfaction Index to Postal Services. Structural Equation Models versus Partial Least Squares

Customer satisfaction and retention are key issues for organizations in today’s competitive market place. As such, much research and revenue has been invested in developing accurate ways of assessing consumer satisfaction at both the macro (national) and micro (organizational) level, facilitating comparisons in performance both within and between industries. Since the instigation of the national customer satisfaction indices (CSI), partial least squares (PLS) has been used to estimate the CSI models in preference to structural equation models (SEM) because they do not rely on strict assumptions about the data. However, this choice was based upon some misconceptions about the use of SEM’s and does not take into consideration more recent advances in SEM, including estimation methods that are robust to non-normality and missing data. In this paper, both SEM and PLS approaches were compared by evaluating perceptions of the Isle of Man Post Office Products and Customer service using a CSI format. The new robust SEM procedures were found to be advantageous over PLS. Product quality was found to be the only driver of customer satisfaction, while image and satisfaction were the only predictors of loyalty, thus arguing for the specificity of postal services.European Customer Satisfaction Index; ECSI; Structural Equation Models; Robust Statistics; Missing Data; Maximum Likelihood