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As satisfaction is one of the most important conditions for loyalty, this study aims to investigate the main factors affecting online satisfaction for buying clothes from the internet. In this research, the authors followed two main objectives: (1) to identify factors influencing online satisfaction and (2) to determine the importance of the main determinants that explain online satisfaction in the retailing clothing sector.

The research combines qualitative and quantitative research methods. The authors used the focus group technique and a survey based on a questionnaire. For the first exploratory phase of the research, we conducted four focus groups with 21 women, 18–39 years old, who have at least two years experiences as online buyers and who made at least two acquisitions for clothing products in the past six months, from the same website. The purpose of this qualitative method was to understand the young women's perception about online satisfaction and to collect items to be included in the questionnaire. For the second quantitative phase of this study, the sample consisted of 241 participants. To analyse the data, two different types of inferential analysis were used: factor analysis (for identifying the factors that compose online customer satisfaction) and analysis of regression (to determine the most important factors that determine and predict online buyers' satisfaction).

The main results indicate that the significant factors determining a satisfactory experience in an e-retailing market are: good deal (savings), product expectations, customer service and website reputation.

The study is more relevant in the current pandemic context, when the consumer’s behaviour has changed and online shopping has substantially increased. The research can be used by companies that sell clothing on the internet and are interested in increasing their financial results and also their customers' satisfaction.

Shopping online is a fast-growing phenomenon. A look into the rapid exponential growth of the primary players in this sector shows huge market potential for e-commerce. Given the convenience of internet shopping, e-commerce is seen as an emerging trend among consumers, specifically the younger generation (Gen Y). The popularity of e-commerce and online shopping has captured the attention of e-retailers, encouraging researchers to focus on this area. This paper aims to examine the relationship between online repurchase intention and other variables such as security, privacy concerns, trust and ease of use (EOU), mediated by e-satisfaction.

A self-administered survey method is used, and students aged between 20 and 35 years at universities in northern India are selected as subjects. To test the hypotheses of this study, an online questionnaire is distributed to participants, with 309 legitimate responses received. The data are analyzed using SPSS version 20.0 and AMOS version 20.0. Structural equation modeling is used to examine the model and to test the hypotheses.

The results of this study show that security, privacy concerns, trust and EOU have a positive significant relationship with repurchase intention. The findings also reveal that e-satisfaction has a full mediation effect between security and repurchase intention and also between trust and repurchase intention. In addition, a partial mediation effect of e-satisfaction is noted between EOU and repurchase intention and between privacy concerns and repurchase intention.

The results show that security, trust, EOU and privacy concerns are the factors that have most impact on consumer purchasing behavior. In terms of the repurchase intention of Gen Y consumers, what is needed are strong security features, an easy-to-use interface, a trusted privacy policy and the creation of trust. Furthermore, it may be beneficial to observe e-satisfaction as a mediator when identifying potential problems; online satisfaction is important for the group in this study, and the results show that it impacts on the relation between repurchase intention and other factors.

In terms of the repurchase intention of Gen Y consumers, what is needed are strong security features, an easy-to-use interface, a trusted privacy policy and the creation of trust. Furthermore, it may be beneficial to observe e-satisfaction as a mediator when identifying potential problems; online satisfaction is important for the group in this study, and the results show that it impacts on the relation between repurchase intention and other factors.

This research determines the impact of security, privacy concerns, EOU and trust on the online repurchasing behavior of Gen Y in India. The mediation effect of e-satisfaction is also determined.

The purpose of this paper is to develop and test a new conceptual model in an online service context. The model focuses on an important, yet often neglected customer-oriented construct, i.e., user “control”, which is embedded in consumer behaviour when accessing the internet. The study examines the relationship between control, online dependency, online encounter satisfaction and overall satisfaction. It explains the strategic implications surrounding customer control and online dependency as means for enhancing customer satisfaction.

A questionnaire was developed drawing on a combination of existing and new measurement items for the constructs in question. The instrument was later pilot tested on two consecutive occasions ahead of the main survey. A random sample of Hong Kong banking consumers was approached and interviews were undertaken via telephone. The data were analysed via confirmatory factor analysis and structural equation modelling was used to test the hypotheses relating to the model.

The findings reveal positive relationships between control and online dependency, and control and online encounter satisfaction. Meanwhile control, online dependency and online encounter satisfaction lead to overall satisfaction.

This study proposes a counterintuitive argument that while online service customers gain control of the online service process, they become more dependent on it, and their control and dependency also lead to their satisfaction, at both the online service encounter level and corporate level. Drawing on the pertinent literature, this is the first study to examine the importance of two information system constructs, i.e., control and online dependency, as predictors of consumer psychological fulfilment, i.e., satisfaction. The findings confirm that control as an initiator and driver of customer satisfaction in an online context, and online encounter satisfaction, further contributes to overall satisfaction at the corporate level.

The purpose of this paper is to empirically identify categories of online shopping experiences and web site functions facilitating these experiences, and to test the effect of those experiences on browser satisfaction, conversion, and online store performance.

Two analytical methods (survey‐based exploratory factor analysis and secondary data‐based regressions) were employed to test the mediating role of browser satisfaction between online shopping experiences and e‐tail performance for 115 top online retailers during 2006‐2008.

In addition to supporting the existence of such parallel in‐store and online experiences as sensory, cognitive, pragmatic, and relational, a new type of online shopping experience (interactive/engagement) was identified. It comprises customer involvement with the online store and with friends and other shoppers via the online store interface. The mediating role of browser satisfaction in increasing sales and traffic to online stores was confirmed.

Future research should account for potential multi‐channel effects of online shopping experiences.

Investing in web site features that facilitate such social experiences as product reviews and ratings sharing, and interacting with the site itself (site personalisation and mobile interface), and through the site with others (social networking, wish list, e‐mail‐a‐friend, etc.), can positively influence site visitor satisfaction and lead to increased traffic and sales.

This paper is among the first to explore the nature and drivers of online shopping experiences. It uses multi‐method approach to identify which online shopping experiences significantly affect browser satisfaction and, consequently, store performance.

This study uses the travel industry as the research context and investigates online–offline integration between the different business entities of hoteliers and online travel agencies (OTAs). The purpose of this paper is threefold: first, to examine cooperation between hotels and OTAs; second, to examine how online and offline satisfaction increase behavioral intentions toward online and offline channels; and third, to investigate the factors that increase online and offline satisfaction.

To investigate customers’ behavioral intentions toward online and offline channels, the authors collected 241 data points from ten hotels from four well-known chains. The partial least squares structural equation modeling approach was used to test the research model and the 13 hypotheses.

The results show that system quality, information quality and service quality of OTA websites increase online satisfaction. Online satisfaction further increases behavioral intentions toward online channels but has no significant effect on offline satisfaction and behavioral intentions toward offline channels. Emotional value and social value offered by hotels increase offline satisfaction. Offline satisfaction further increases behavioral intentions toward online and offline channels. Finally, behavioral intentions toward online channels indeed reinforce behavioral intentions toward offline channels.

Some prior studies have focused on the effects of offline channels on online channels, whereas others have examined the influences of online channels on offline channels. However, in previous studies, the online and offline channels were both owned by the same business entities. To the best of the authors’ knowledge, this study is the first to examine how online and offline channels belonging to different business entities can work together to increase customer intentions.

Following the COVID-19 pandemic, most higher education institutes shifted to online learning as the sole alternative to continuing education while mitigating the risks imposed by the pandemic. This has raised several concerns regarding students’ learning experience, satisfaction and academic achievement, particularly in countries where students have restrained technological resources (i.e. developing nations). The current research aims to investigate the key factors influencing students’ attitudes, satisfaction and academic achievement among university students in an emerging market context (i.e. Morocco). The moderating effect of students’ motivation to study online was also scrutinized.

The authors propose an integrated conceptual framework that combines the technology acceptance model (TAM) with the outcomes of prior literature related to online learning. Based on data collected from 850 Moroccan university students, the authors empirically tested the conceptual model using a partial least squares (PLS) estimation.

First, attitude toward online learning and satisfaction positively impact university students’ academic achievement; at the same time, attitude positively impacts students’ satisfaction with online learning. Second, students’ satisfaction and attitude toward online learning were found to be mainly influenced by instructor performance, ease of use of the online learning platform, information quality, interactivity and perceived usefulness (PU). Finally, student motivation acts as a moderator, e.g. students with higher motivation to learn online are more likely to develop a favorable attitude toward online learning and can, therefore, accomplish better academic performance.

The current study makes a considerable contribution to the literature by contributing to the on-going debate about the potentials and challenges of online learning, particularly in an emerging country where education remains a considerable challenge. The study findings can help higher education institutes gauge the quality of online education programs and design efficient strategies to develop high-quality online learning for students. Our findings have implications not only for educational institutions and instructors in developing markets but also for the vendors of online course delivery software.

Since the declaration of COVID-19 as a pandemic in March 2020, higher education institutions (HEIs) across the globe have shifted – entirely or partly – to online teaching and learning; Lebanese HEIs were no exception. Such an unprecedented and “forced” transition to online teaching and learning has created a landscape for scholars and researchers to inquire into the efficiency and effectiveness of online teaching and learning, students’ satisfaction with this virtual educational experience, and instructors’ satisfaction with such an experience. This chapter presents a study about Lebanese instructors’ satisfaction with online teaching and learning during the pandemic. Instructors’ satisfaction was measured in terms of three satisfaction constructs of psychometrically validated “Online Instructor Satisfaction Measure” (OISM): instructor-to-student interaction (ISI); student-to-student interaction (SSI); and course design, development, and teaching (CDT). Data were collected through an online questionnaire from 102 Lebanese instructors across 7 Lebanese universities: 6 private universities and the national public Lebanese higher education institute (Lebanese University). This study found that there were no significant changes between the satisfaction levels in relation to each of the ISI, SSI, and CDT constructs between STEM education background instructors and their non-STEM education background counterparts. Despite their dissatisfaction with the level of interaction between them and their students (ISI), the participating Lebanese instructors were satisfied with the SSI, except for students’ collaborative and group work, and were also satisfied with the CDT, except for the preparation time required for delivering an online course.

The post-pandemic recognises changes are required; universities need to rethink their e-servicescapes strategies by offering different approaches to enhance students’ learning. This study aims to draw on learning self-efficacy trajectories and propose a conceptual model for exploring the predictive validity of satisfaction. In addition, it explores the mediating role of e-servicescapes and the moderating relationship effect of mature and younger students.

Learning self-efficacies is incorporated into the design of the model in an attempt to understand student cognition. The influences of e-servicescape on adopting online preferences and satisfaction are also examined. The model was empirically validated by surveying 266 respondents. Structural equation modelling and multi-group analysis were used to analyse the data.

The results of this study show learning self-efficacies has no significant influence on satisfaction. Yet, they showed a significant influence on e-servicescapes. E-servicescapes positively influenced satisfaction and preference for adopting online learning. E-servicescapes also had a mediating effect between self-efficacy to complete a course and satisfaction, as well as self-efficacy to interact with instructors and satisfaction. It had a negative suppressed effect on social interaction.

The research makes the following contributions. Firstly, the conceptualised model identifies an association between learning self-efficacies and e-servicescapes, suggesting universities as service providers can maximise the value offerings of their customer assets. Secondly, e-servicescapes demonstrate a full mediating effect between self-efficacies and satisfaction, indicating that if universities are to compete successfully in dynamic markets, they should co-create value in their e-servicescapes domain to increase satisfaction. Thirdly, the study recognises the need for a hybrid system of both face-to-face and online delivery because the multi-group analysis shows mature age preference for online learning is required to make this transformation successful.

Fast-growing online retail market provides convenience for customers. But it makes competition among online retailers fiercer as well. Online retailers need to improve online shoppers’ satisfaction level for the purpose of keeping their loyalty. As an important component in online retail market, logistics service affects online shoppers’ satisfaction level. By applying expectation confirmation theory, the purpose of this paper is to explore how customized logistics services (CLS) influences online shoppers’ satisfaction level and whether the relationship between them is moderated by product type.

Data were collected from Tmall.com, the biggest online retail market in China. Exploratory factor analysis and two-way ANOVA were conducted to analyze the data.

The results indicate that CLS positively impacts online shoppers’ satisfaction level. But product type does not have moderate effect on the relationship between CLS and online shoppers’ satisfaction level.

Online retail market grows fast. As the number of retailers keeps increasing, competition in this market becomes fiercer. In order to attract new shoppers and increase shoppers’ loyalty, online retailers must make shopper satisfied with their purchase. CLS positively impacts online shoppers’ satisfaction level, online retailers should offer shoppers CLS.

This study examines how customized logistics influences customer satisfaction, and extends literatures related to online customer satisfaction by integrating the factor CLS and opens the way for other studies related to logistics service customization. Furthermore, this study discusses how IoT will improve online retailers’ abilities in providing CLS.

The purpose of this paper is to empirically investigate the influence of consumer attitude towards Halal banking on e‐service quality and e‐satisfaction, in an online Islamic banking context. The proposed model also aims to investigate the relationships among e‐service quality, e‐satisfaction, e‐trust and e‐loyalty.

A questionnaire was designed to collect data from the regular users of online services of Islamic banks in Pakistan. Convenience sampling method was adopted to collect data from the existing customers of six Islamic banks, residing in five major urban centres of Pakistan. A total of 350 questionnaires were distributed, out of which 292 returned questionnaires were suitable for further analysis. Structural equation modelling procedure was used to test the proposed research model.

The results of this research suggest that attitude towards Halal banking positively influences perceived e‐service quality and overall e‐satisfaction with the online services of Islamic banks. Furthermore, perceived online service quality enhances customer e‐satisfaction and their e‐loyalty towards the bank. Similarly, e‐trust mediates the relationship between e‐satisfaction and e‐loyalty.

This study enhances our understanding of how specific religious attitudes can positively influence consumer assessments of a bank's perceived e‐service quality and their overall e‐satisfaction with it.

Much of the previous research on Islamic banking has been descriptive in its nature. This study contributes to the existing literature by exploring the causal effect of attitude towards Halal banking on consumer perceptions about the e‐service quality and e‐satisfaction with the online services of Islamic banks.