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This study is undertaken to examine the role of information and communication technology (ICT), e-service quality and e-information quality towards brand image of universities by concentrating on students’ e-learning, e-word of mouth and satisfaction.

The target population was the students of public and private universities in Pakistan. Data collected using an e-questionnaire by 408 students were subjected to PLS-SEM for analysis.

Findings revealed that ICT, e-service quality and e-information quality are positively contributed toward students' e-learning which ultimately leads to create positive e-word of mouth and students' satisfaction. Meanwhile, results also identified that e-word of mouth and students' satisfaction lead to generate a positive brand image of universities.

This study has unique implications for universities to develop an e-learning platform to facilitate their students in this situation of COVID-19. It provides guidelines for educational institutions to implement the learning management system effectively with a view to facilitate the students with education.

This study has novel contribution in literature in the domain of digital learning. It is unique in a way to integrate the usage of technology with students' e-learning and satisfaction that ultimately create brand image of universities.

The five-factor model (FFM), a popular personality typology that identifies five key personality traits, has been used to predict use intention in various e-commerce applications, but the role of FFM in triggering certain evaluations of the various quality dimensions of e-commerce websites has not been examined, revealing a gap, i.e. the authors do not know how the five personality traits impact evaluations of the quality dimensions of e-commerce websites. The 3Q model—which comprises system quality (SysQ), information quality (IQ), and service quality (SQ), spanning 13 quality dimensions—is helpful for evaluating website quality, but the model neglects user characteristics and their impacts on quality evaluation, posing another gap, i.e. the authors do not know how user characteristics impact the user's evaluation of quality dimensions. Thus, the authors used the FFM to extend the 3Q model to explain how user personality predicts the evaluation of websites in the 13 quality dimensions.

The authors used an online survey to collect responses from 392 online shoppers. Structural equation modeling was used to test the hypotheses.

The authors found that openness in a shopper predicts their favorable evaluation of a website in the quality dimensions of format and flexibility; conscientiousness predicts favorable evaluation in terms of completeness, accuracy, currency, timeliness, and service reliability; neuroticism predicts unfavorable evaluation in terms of reliability, accessibility, and assurance; and extraversion predicts favorable evaluation in terms of responsiveness; while agreeableness did not predict empathy.

In sum, the authors successfully used the FFM to theoretically extend the 3Q model, which clarifies the usefulness and pathways of personality in formulating strategies for e-commerce success.

The rapid growth of artificial intelligence (AI)-based voice-assistant systems (VASs) has created many opportunities for individuals to use VASs for various purposes in their daily lives. However, traditional quality success factors, such as information quality and system quality, may not be sufficient in explaining the adoption and use of AI-based VASs. This study aims to propose interaction quality as an additional, yet more important quality measure that leads to trust in an AI-based VAS and its adoption.

The authors propose a research model that highlights the importance of interaction quality and trust as underlying mechanisms in the adoption of AI-based VASs. Based on survey methodology and data from 221 respondents, the proposed research model is tested with a partial least squares approach.

The results suggest that interaction quality and trust are critical factors influencing the adoption of AI-based VASs. The findings also indicate that the impacts of traditional quality factors (i.e. information quality and system quality) occur through interaction quality in the context of AI-based VASs.

This research adds interaction quality as a new quality factor to the traditional quality factors in the information systems success model. Further, given the interactive nature of VASs, the authors use social response theory to explain the importance of the trust mechanism when individuals interact with AI-based VASs.

An increasing number of companies have become aware of the considerable commercial potential of firm-hosted online communities (FOC) and initiated their own platform for different purposes. However, limited research has systematically explored oppositional loyalty and customer satisfaction in the context of FOC. By applying the expectation–confirmation model (ECM), the purpose of this paper is to investigate the determinants of oppositional loyalty and satisfaction from the perspective of social capital and e-quality.

A research model was tested by applying partial least squares technique, and data were collected from a survey of members (n=512) of two popular smartphone communities in China.

Results revealed that satisfaction, trust and shared language are the significant antecedents of oppositional loyalty. Benefits confirmation, information quality, service quality, trust and social tie exert strong effects on the formation of satisfaction.

This study is an original empirical research guided by several theories. It contributes to the information system usage literature and provides opinions regarding how users’ oppositional loyalty and satisfaction can be developed in the FOCs. This work also widens the application of ECM and provides an alternative theoretical framework for future research on oppositional brand loyalty.

The paper aims to explore the factors that influence the risk perception. The moderating roles of purchase experience and purchase involvement are also investigated.

The conceptual model is framed into the SOR (stimulus-organism-response) model, which was tested using data collected from the users of a leading group buying platform in China, with the help of LISREL.

The result indicates that both vendor- and intermediary-related factors exert negative yet significant influences on perceived risk. The relationships between vendor-related attributes and perceived risk are contingent on purchase involvement. The relationships between intermediary-related attributes and perceived risk are subject to purchase experience.

This study explores the moderating effects of purchase experience and purchase involvement based on the characteristics of group buying, demonstrating the differences from traditional online shopping.

This study's purpose is to propose an integrated model based on expectation-confirmation model (ECM), task-technology fit (TTF) model, and updated DeLone and McLean information system (IS) success model to examine whether quality factors and TTF as antecedents to physician beliefs can affect physicians' continuance intention of the cloud-based hospital information system (HIS) and performance impact.

Sample data for this study were collected from physicians at five hospitals in Taiwan. A total of 500 questionnaires were distributed, and 305 (61.0 percent) usable questionnaires were analyzed using structural equation modeling in this study.

This study verified that physicians' perceived information quality, system quality, general technical support service quality, and cloud storage service quality all positively caused their PU, confirmation, and perceived TTF in the cloud-based HIS, which together explained their satisfaction with the system, and subsequently led to their continuance intention of the system and performance impact.

First, IS-related and cloud-related quality factors are simultaneously taken into consideration within this study's research model, and empirical results reveal deep insights into quality evaluation in the field of physicians' cloud-based HIS continuance intention. Next, this study contributes to an understanding of TTF in explaining physicians' cloud-based HIS continuance intention that is difficult to explain with only their utilitarian perception of the system, and places emphasis upon physicians' perception of performance impact greatly driven by their perceived TTF and continuance intention of the system, thus the results can shed light on antecedents and outcome of physicians' cloud-based HIS continuance intention.

In mobile banking (m-banking), knowing and understanding trust-related factors can enable bank managers to design suitable strategies for enhancing its overall uptake. Based on this premise, the present study assesses the relationship of trust in m-banking with technology acceptance and use factors, quality factors, risk factors and a personal factor as well as behavioral outcomes. The study further investigates the moderating influence of Hofstede’s cultural dimensions on these relationships.

The present study synthesizes the outcomes of 63 quantitative studies on trust in m-banking by using the meta-analysis technique.

The study finds a significant relationship of trust in m-banking with technology acceptance and use factors, quality factors, risk factors, a personal factor and behavioral outcomes. Additionally, Hofstede’s cultural dimensions, namely power distance, individualism/collectivism, masculinity/femininity and uncertainty avoidance, significantly moderate the majority of the hypothesized relationships.

By reviewing the extant literature, this study provides a comprehensive framework that explains the antecedents and behavioral outcomes of trust in m-banking and determines how these relationships effectively vary across cultures.

The study helps m-banking service providers to understand how trust in m-banking can be enhanced. The study also shows which factors are more impactful in a particular culture.

This is an original study that contributes to the m-banking marketing literature.

The purpose of this study is to explore the relationships of web quality (system quality, information quality, and service quality), perceived value, and satisfaction to understand how these critical factors influence the continuance intention of using e‐learning systems in academic libraries.

The study data come from a convenience sample of 302 undergraduate and graduate students who were 18 to 25 years old. A structural equation modelling (SEM) technique was conducted to identify causal relationships.

The findings demonstrate that web quality has significantly positive influences on perceived value and user satisfaction. Furthermore, perceived value and satisfaction determines users' continuance intentions of e‐learning systems in academic libraries.

This study addresses self‐reported continuance intentions as part of the survey; as a result, it could have introduced inaccuracies. The implications of proposed e‐learning success model are discussed.

Academic librarians should reinforce the efficiency of e‐learning systems to influence users' willingness to continuously use such systems.

This paper highlights the determinants of continuance intentions of e‐learning systems in digital libraries and educates researchers, librarians, and system developers about how e‐learning systems are perceived by end‐users in digital libraries.

This study aims to investigate the determinants of successful implementation of cloud computing and, further, examines how cloud computing success influences firm performance.

The authors developed a conceptual framework based on the integration of several strands of literature in business studies and information systems. To test the proposed model, data were collected from 300 Chinese firms which have adopted cloud computing. To analyze the data, partial least squares structural equation modeling (PLS-SEM) was used. An importance-performance map analysis (IPMA) was also conducted to identify the critical factors that exhibit high importance but low performance.

The results of the study revealed that end-user satisfaction, information quality, system quality, managerial information technology (IT) capability and technical IT capability significantly affect cloud computing success. Additionally, cloud computing success has a strong and positive impact on firm performance. IPMA further confirms that managers need to concentrate more on system quality, information quality, user satisfaction and technical IT capability.

This paper is one of the few attempts to integrate several theoretical frameworks (i.e. IT capabilities and resource-based view, expectation-confirmation theory, and information system success theory) to develop a comprehensive model for understanding the key determinants of cloud computing success and its impact on firm performance. This study makes a useful contribution to the conventional information systems (IS) literature and IT management practice.

The objective of this study is to develop and test a specific conceptualization and modeling specification of web site service quality and the influence web site service quality has on e‐service provider loyalty and word‐of‐mouth.

Data from an online survey of consumers across two studies were obtained.

The results support the conceptualization and operationalization of web site service quality and its effects on word of mouth and loyalty.

Implications for the measurement of consumer perceptions of web site service quality are highlighted for researchers, and directions for future research are discussed.

E‐service providers should carefully consider customer experiences on their web sites, and their management efforts to ensure they design and deliver the appropriate levels of service quality derived through the specific components of web site service quality.

The findings are of value to e‐service practitioners managing web site service quality and offer empirical support to its formative conceptualization. The focus here on formative modeling will stimulate discussion among e‐service researchers and practitioners, which could result in richer e‐service quality measures leading to improved marketing decision making and web site quality management.