Structural equation modeling and regression: Guidelines for research … (original) (raw)
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Internet purchasing has been predicted to escalate with the increase of internet users around the globe. In line with the increase of users, it has been estimated that e-commerce spending would also amplify. In spite of the world internet potential, actual number of internet users who purchased online has declined. Thus, our study intends to investigate the drivers of internet purchasing based on the integration of theory of planned behavior (TPB) and technology acceptance model (TAM). By integrating TPB and TAM, this study examines the relationships between attitude, subjective norm, perceived behavior control, perceived usefulness and perceived ease of use toward intention and internet purchasing behavior. Data were collected from 304 university students via questionnaires. The analysis produced four structural models: hypothesized, re-specified, TPB competing and TAM competing models. It shows that hypothesized model created four significant direct impacts, re-specified model found three significant direct impacts, TPB competing model supported three direct impacts and TAM competing model supported four direct impacts. It seems that the direct impact of subjective norms on intention was consistently significant across three models namely, hypothesized, respecified and TPB competing models. Conversely, the path from attitude to intention was consistently insignificant across the same three models. Other direct paths reveal inconsistent relationships between differing structural models. For mediating effects of intention on each hypothesized paths, we found two partial mediating effects of intention. The first effect was the partial mediating effects of intention on the relationship between attitude and behavior in TPB competing model. The second was the partial mediating effect of intention on the relationship between perceived usefulness and behavior in TAM. Mediating effects were not substantiated in hypothesized and revised model. Lastly, among the four structural models, revised model achieved the highest SMC (R 2 ), explaining 62.9% variance in internet purchasing behavior, followed by Theory of Planned Behavior (TPB) and Technology Acceptance model (TAM). According, hypothesized model obtained the lowest R2 of 55% variance in internet purchasing behavior. The findings are discussed in the context of the internet purchasing behavior and intention in Malaysia.
Exploring the Drivers of E-Commerce through the Application of Structural Equation Modeling
E-commerce is a form of trade that has gained increasing attention from consumers and sellers. However, despite high growth rates, e-commerce still has low levels of consumers. This study aims to determine the factors that influence the purchasing decision in e-commerce, in order to better understand acceptance or rejection of e-commerce among consumers. To this end, a first framework was constructed based on previous research on consumer adoption of e-commerce. Then, three categories (derived from interviews) were added. This more complete model was tested using the structural equation model based on partial least squares. The results obtained allow us to conclude that the perceived relative advantage, the ease of use, the drawbacks associated with a non-European Union country of sale and the perceived risk, directly influence the consumer’s purchase intent in e-commerce. We also found a set of twelve variables that act as indirect influences.
Structural equation modeling (SEM) analysis based on UTAUT2 theory on e-commerce adoption
Jurnal Pijar Mipa
E-commerce adoption with the UTAUT 2 model is a complex and multidimensional issue that connects multiple dimensions. A statistical method that can explain the relationship between one latent variable and another variable is Structural Equation Modeling (SEM). This study aims to create a structural model of e-commerce adoption using SEM based on indicators in the UTAUT2 theory. The data used in this study is primary data obtained through a survey of MSME actors in Batam City using a questionnaire with the purposive sampling method. The sample used was 200 MSMEs. The analysis results show that the value on the Behavioral Intention variable was 88.6%, and the Use Behavior variable was 76.8%. value of 97.4% indicates that the exogenous latent variable strongly affects the endogenous latent variable. The goodness of the fit value suggests that the SEM model in this study can explain empirical data or field data by 83%. The hypothesis testing results are that Behavioral intention signi...
Academic Research International, Vol. 3, Nr. 1, ISSN: 2223-9553
The Technology Acceptance Model (TAM) was employed in order to predict consumers’ intentions to buy online. Initial TAM latent variables were used and indicators were adapted for the purpose of the study. Measurements’ reliability and validity are tested in the study. What differentiates this study from other TAM-based studies is the control for the effects of socio-demographic variables: gender, education and income. TAM initial associations were tested for statistical significance, when the effects of gender, education and income were controlled for. The results of the PLS-based structural equation modeling indicate that TAM original associations among variables are significant, regardless of the socio-demographic variables employed in the model. This study once more confirms the predictive power of TAM in explaining and predicting online buying behavior.
Internet purchasing has been predicted to escalate with the increase of internet users around the globe. In line with the increase of users, it has been estimated that e-commerce spending would also amplify. In spite of the world internet potential, actual number of internet users who purchased online has declined. Thus, our study intends to investigate the drivers of internet purchasing based on the integration of theory of planned behavior (TPB) and technology acceptance model (TAM). By integrating TPB and TAM, this study examines the relationships between attitude, subjective norm, perceived behavior control, perceived usefulness and perceived ease of use toward intention and internet purchasing behavior. Data were collected from 304 university students via questionnaires. The analysis produced four structural models: hypothesized, re-specified, TPB competing and TAM competing models. It shows that hypothesized model created four significant direct impacts, re-specified model fou...
South Asian Journal of Social Studies and Economics, 2022
Partial least squares structural equation modeling (commonly referred to as PLS-SEM) was not developed without reason. PLS-SEM was developed as an alternative to covariance-based SEM, allowing researchers to conduct exploratory research. In addition, PLS-SEM is considered capable of providing flexibility related to data characteristics, model complexity, and model specifications. Undoubtedly, PLS-SEM is the most frequently used method in many fields of business research. However, many researchers use PLS-SEM incorrectly and even expect more without understanding the basic structural equation modeling method. For this reason, this article will discuss various types of problems and general beliefs about the use of PLS-SEM in business research. In addition, this article can be used as a reference to make it easier for applied researchers to decide what methods, techniques, and tools will be used to complete their research. In addition, at the end of this article, we will discuss how PLS-SEM can be applied to develop theory in business research through a series of technical introductions taking into account user needs. Subsequently, this article will be equipped with a systematic procedure that discusses the evaluation flow of each PLS-SEM test through illustrations with a notated model using SmartPLS.
Internet has fundamentally changed the way of businesses, consumers communication, interact and consumer transactions in worldwide .Vendors also must face reality of the complex behavior of consumers and should consider using data and information in the online market. The purpose of this paper is to explore a conceptual model for analyzing customers' perceptions of using online shopping. This paper provides insights into consumer behavior, and the results have important implications for designers, managers and marketers. This study identified factors that influence consumer purchase decisions..In order to show relations between variables structural equation modeling is used. This special issue, forming development of new knowledge, models and theories of consumer behavior in e-commerce.250 samples is chosen randomly from students of Isfahan University because young student is represented as the majority of internet users in Iran. The results show that perceived risk, which is an affective barrier against using new systems, is a key negative predictor of a customer's intentions to use online shopping. Also, trust is more important factor that influences consumer behaviors. Furthermore, perceived enjoyment, perceived usefulness, firm reputation and social influence have an impact on a customer's behavioral intentions.
Structural Equation Model on Determinants of Intention to Use E-Commerce
Journal of Computational Innovation and Analytics (JCIA)
Although e-commerce is being utilised, its application expanded exponentially during the pandemic due to government restrictions on mobility. Most of the existing literature points to the effect of perceived usefulness and ease of use toward attitudes that affect the intention to use technology. Issues surface relative to the effect of customers' trust in the system and the risks involved. Using Structural Equation Modelling (SEM), the study aimed to investigate the effect of these factors on users' intention to use online shopping. Specifically, it looks into the effect of trust and risk on attitude and intention. Results established that trust affects attitude but not intention, while risk did not significantly affect both. With the online experience over time, consumers generally view e-commerce as easy and useful, especially in acquiring significant information about the product and services and navigating through e-commerce tools. The respondents are aware that there is...
Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research
European Business Review, 2014
Purpose: We present partial least squares (PLS) as an evolving approach to structural equation modeling (SEM), highlight its advantages and limitations and provide an overview of recent research on the method across various fields. Design/methodology/approach: In this review article we merge literatures from the marketing, management, and management information systems fields to present the state-of-the art of PLS-SEM research. Furthermore, we meta-analyze recent review studies to shed light on popular reasons for PLS-SEM usage. Findings: PLS-SEM has experienced increasing dissemination in a variety of fields in recent years with non-normal data, small sample sizes and the use of formative indicators being the most prominent reasons for its application. Recent methodological research has extended PLS-SEM’s methodological toolbox to accommodate more complex model structures or handle data inadequacies such as heterogeneity. Research limitations/implications: While research on the PLS...