Investigating the Antecedents of Customer Behavioral Intentions Using the Service Acceptance Model

In highly competitive markets, enterprises provide various services to attract and retain customers. However, even though they are able provide higher‐quality services to customers, there are still many companies that are unable to gain benefits because customers do want these services. With the integration of the theory of planned behavior and quality‐value‐satisfaction‐behavioral intention model proposed by Cronin, Brandy, and Hult ( 2000 ), the service acceptance model, an extended model based on the characteristics of the service industry, is proposed in this work to investigate the effects of attitude, social pressure, perceived behavioral control, service quality, and service value on behavioral intention. The empirical results show that the perceived behavioral control of the high‐income sample group is not correlated with customer behavioral intentions, which differs from the results for the overall and low‐income sample groups. The customers’ own financial resources are thus of great importance in this context. Service quality has a significantly positive impact on perceived value and attitude. This suggests that good service quality will be conducive to increasing perceived value and strengthening customers’ positive attitudes toward a service, indirectly affecting the behavioral intention to purchase a service.     

An Integrated Framework for Service Quality, Customer Value, Satisfaction: Evidence from China's Telecommunication Industry

Service quality, customer satisfaction and customer value have become the priority of both manufacturers and service provider in the increasingly intensified competition for customers in today's customer-centered era. However, findings regarding service quality, customer satisfaction and customer value are rather divergent and related studies are fragmented, especially for the complicated interrelationships among them. Thus, less is known about the relative impacts of quality-related factors on customer value and customer satisfaction up to now and the moderating role of customer value in the relationship between service quality and customer satisfaction has been neglected. Further, it is very difficult to find related studies, supported by evidence, that focus on service quality, customer satisfaction and customer value, and their influences on customer behavior intentions in the telecommunication industry. In this paper, much attention is paid to the measurement model of service quality in China's mobile communication market based on the well-known SERVQUAL model, but with reasonable modification on the basis of focus group discussions and expert opinions to reflect the specific industry attributes and the special culture of China. By taking a disaggregated approach, the key drivers of service quality, customer value and customer satisfaction are first identified and the impact of customer perceived sacrifice on customer value is emphasized. Then attention is given to the systematic study of the dynamic relationships among them, especially the moderating effect of customer value on the relationship between service quality and customer satisfaction, which is followed by the examination of their influences on behavior intentions of customers. Results are based on the development of structural equation models using Partial Least Square technique.     

The relationships among service quality,perceived value,customer satisfaction,and post-purchase intention in mobile value-added services

The purposes of this study are to construct an instrument to evaluate service quality of mobile value-added services and have a further discussion of the relationships among service quality, perceived value, customer satisfaction, and post-purchase intention. Structural equation modeling and multiple regression analysis were used to analyze the data collected from college and graduate students of 15 major universities in Taiwan. The main findings are as follows: (1) service quality positively influences both perceived value and customer satisfaction; (2) perceived value positively influences on both customer satisfaction and post-purchase intention; (3) customer satisfaction positively influences post-purchase intention; (4) service quality has an indirect positive influence on post-purchase intention through customer satisfaction or perceived value; (5) among the dimensions of service quality, “customer service and system reliability” is most influential on perceived value and customer satisfaction, and the influence of “content quality” ranks second; (6) the proposed model is proven with the effectiveness in explaining the relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile added-value services.     

Ensuring IT Consulting SERVQUAL and User Satisfaction: A Modified Measurement Tool

This paper provides the newly developed IT consulting SERVQUAL measurement tool. In an attempt to measure the IS customers' perceived quality of the consulting services they received, the researchers developed a diagnostic tool of SERVQUAL based on the solid theoretical background, which can specifically be applied to the IT consulting service sector. It is composed of 6 dimensions of reliability, responsiveness, assurance, empathy, process and education, and the former four are derived from IT SERVQUAL and the latter two are added to consider the characteristics of IT consulting service.To develop IT consulting SERVQUAL, 7 consultants having over the 10 years careers, 3 customers having much experienced of consulting service, and 2 professors majoring in MIS have examined the constructs and the items of questionnaires. And this research had been applied to 86 respondents of 42 different organizations that had received IT consulting services over 2 past years to ensure the validation of this tool. The correlation and the factor analyses were conducted for validation of the measurement tool.The results indicated that six different areas in the measurement tool are significantly related with level of the customer satisfaction in spite of their few problems in its validation and its application in the field will be helpful to identify their problems and make plans for advancement.     

Human factors and usability in service quality measurement

The purpose of this study was to develop a modified measurement instrument for service quality that includes human factor considerations. Tangibles, reliability, responsiveness, assurance, and empathy were dimensions commonly used to measure service quality through a survey instrument termed SERVQUAL. A sixth dimension, usability, was added in a modified survey instrument termed SERVUSE. To examine the predictive power of both instruments, 200 patients at an on‐campus health clinic were surveyed. The survey measured subject expectations and perceptions regarding the service system. Gap scores were calculated as the difference between these two measures. Positive gap scores reflected the exceeding of customer expectations. Negative gap scores reflected a failure to meet these expectations. The three response variables were perceived quality, satisfaction, and behavioral intention. Usability was found to be a significant predictor of all response variables. It also adds significant predictive value to the regression models when measuring behavioral intention. © 2008 Wiley Periodicals, Inc.     

Analysing complaint intentions in online shopping: the antecedents of justice and technology use and the mediator of customer satisfaction

Complaint behaviours are the key to the competition in an online market when service quality is a major concern of consumers. An understanding of complaint intentions can provide insight into a negative service experience and in turn, effectively redress consumer's problems. It is our purpose to examine the determinants of complaint intentions in the online shopping. When online consumers essentially involve the purchase of products/services and the use of web-based technologies, two major issues particularly arise in this context, exchange behaviour and technology use. This study thus integrates justice perception and expectation–confirmation model (ECM) of information system continuance to understand customer satisfaction and in turn, complaint intentions. Data were collected for online consumers with negative service experiences. The results of testing the structural model indicated that distributive and interactional justices significantly contribute to customer satisfaction and complaint intentions, but procedural justice does not. ECM-based features, such as perceived usefulness, are all important in determining customer satisfaction and complaint intentions. The implications for managers and scholars are further discussed.     

The effects of two-way communication and chat service usage on consumer attitudes in the e-commerce retailing sector

In e-commerce retailing (e-retailing), where competitors are only one click away and prices are easy to compare, providing superior customer service and reciprocal communication via a company’s website are important aspects of attracting and retaining customers. One increasingly popular solution to improve customer service is a “live chat” interface that allows consumers to have real-time conversations online with customer service agents. As the literature on the impacts of real-time communication via live chat is currently very limited, this study develops and tests a model that demonstrates the moderating effects of a chat service on the relationship between two-way communication (i.e., a core element of perceived website interactivity) and customer satisfaction, trust, repurchase and word-of-mouth (WOM) intentions. The data for this study were collected via an online survey (N?=?6783) targeting the existing customers of five e-retailers that actively utilize live chats as a customer service tool. The study results show that the extent to which a consumer perceives that an e-retailer is dedicated to fostering two-way communication between the consumer and the seller has significant effects on trust, satisfaction, and repurchase and WOM intentions. Moreover, the results of a multi-group analysis show that the use of a chat service positively moderates these relationships.     

Understanding the consequences of information systems service quality on IS service reuse

IS researchers have normally assumed that satisfaction is the key factor influencing IS customers’ reuse of services; however, a focus on customer satisfaction does not always guarantee customer retention. We synthesized customer satisfaction and dissatisfaction models from prior service quality research to provide a comprehensive model predicting the behavioral intentions of customers to reuse IS services. Five research hypotheses were empirically tested by using a field study of 263 users of an IS service department. Our findings placed IS service quality in a causal network leading to IS service reuse and highlighted the relative importance that service quality value played in predicting behavioral intention to reuse the service.     

Usability beyond the website: an empirically-grounded e-commerce evaluation instrument for the total customer experience

A customer's experience with an e-commerce environment extends beyond the interaction with the website, including delivery of products, post-sales support, consumption of products and services, and so on. It is the total customer experience that influences the customers' perceptions of value and service quality, and which consequently affects customer loyalty. In our cross-disciplinary research in human-computer interaction (HCI) and relationship marketing, we have been investigating how HCI and customer relationship management (CRM) strategies can be integrated in the design of e-commerce so as to engender customer retention, trust and loyalty. We have performed a series of empirical studies to understand customers' requirements and perceptions about service-quality from e-shopping and e-travel environments. From these studies, we have developed an empirically-grounded evaluation instrument, E-SEQUAL, which we discuss in this paper. The development team can apply it at different phases of an e-commerce development life-cycle to integrate customers' perceived dimensions of service quality into the design and evaluation of e-commerce.     

Usability,quality, value and e-learning continuance decisions

Previous research suggests that an eventual information technology (IT) success depend on both its initial adoption (acceptance) and subsequent continued usage (continuance). Expectancy disconfirmation theory (EDT) has been successfully used to predict users’ intention to continue using information technologies. This study proposed a decomposed EDT model to examine cognitive beliefs and affect that influence users’ continuance decision in the context of e-learning service. The proposed model extended EDT by decomposing the perceived performance component into usability, quality, and value. Research hypotheses derived from this model are empirically validated using the responses to a survey on e-learning usage among 183 users. The results suggest that users’ continuance intention is determined by satisfaction, which in turn is jointly determined by perceived usability, perceived quality, perceived value, and usability disconfirmation.