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The purpose of this study is to investigate the antecedents and consequences of consumer satisfaction with the use of self‐service technology (SST) in a retail setting.

In cooperation with a survey firm, a total of 424 respondents were collected from among consumers who had experience of using multimedia kiosks at convenience stores in Taiwan. The conceptual model was tested by using structural equation modeling.

The results show that perceived usefulness and perceived enjoyment both, initially, influence perceived control and convenience and then affect consumer satisfaction, which in turn has an impact on consumer continued behavior intention. In addition, perceived enjoyment is found to enhance consumer satisfaction, but perceived usefulness is not.

This paper proposes a conceptual model to synthesize the essence of the ECM‐IT model and two important incentives in self‐service (i.e. perceived control and convenience) in order to provide a theoretical explanation for consumer satisfaction in the self‐service context. This not only extends the ECM‐IT model, but also remedies previous self‐service literature that lacked the theoretical background in investigations of consumer satisfaction.

The purpose of this paper is to develop and test an integrated model of the modified technology readiness index (TRI) with the extended expectation-confirmation model, in the context of information technology (E-ECM-IT) to explain the adoption and the intention to continue to use mobile payment applications (apps).

Data were collected from 426 users of mobile payment apps across South Africa. A confirmatory factor analysis was performed to validate the factor structure of the measurement items while structural equation modelling was employed to validate the proposed model and testing the hypotheses.

The overall model explained 81 per cent of variance in adoption and 78.5 per cent in the intention to continue to use mobile payment services. “Drivers” were better predictors of adoption than “inhibitors” while satisfaction emerged as the strongest predictor of continuance intentions.

To the best knowledge of the authors, this study is the first to empirically test an integrated modified TRI and E-ECM-IT model to supplement the paucity of research on the topic. The results show that the integrated model provides an enhanced way to understand the factors that influence adoption and continuance intention towards mobile payment apps. The results also add to existing knowledge of mobile technology literature.

This paper reviews the basic concepts of several maintenance approaches and discusses the increasing needs of effectiveness‐centred maintenance (ECM). It discusses the principles and relates them to the measurement of ECM performance. The development and implementation of the ECM approach is elaborated based on a pilot program in the radio unit of an electricity company in Hong Kong. Two ECM performance indices (i.e. individual system effectiveness (ISE) and overall system effectiveness (OSE)) were introduced to monitor the ECM process in the company. Being an integrated maintenance approach, ECM focuses on system functions and customer service, and may contribute to the continuous improvement of maintenance management practices in organizations irrespective of their business nature and size.

This paper aims at developing an interpretive structural model of drivers for environmentally conscious manufacturing (ECM). It will demonstrate how interpretive structural modeling (ISM) supports policy makers in the government and industry in identifying and understanding interdependencies among drivers for ECM. Interdependencies among drivers will be derived and structured into a hierarchy to derive subsystems of interdependent elements with corresponding driving power and dependency.

ISM has been used to identify hierarchy and inter-relationships among drivers for ECM adoption and to classify the drivers according to their driving and dependence power using MICMAC analysis. The drivers for ECM adoption are identified through the review of literature followed by developing a model of drivers using ISM.

The main findings of the paper include the development of an ISM model of drivers for ECM adoption. The developed model divided the identified drivers into five levels of hierarchies showing their inter-relationship and depicting the driving-dependence relationship. These five levels have been classified into four categories – awareness, external, organizational and benefits.

The developed ISM model is expected to provide a direction to the policy makers in the government and industry and the top management of the organizations to leverage their resources in a timely manner to adopt ECM successfully.

Digital records are either stored in an enterprise resource planning (ERP) or an electronic content management (ECM) system or managed without the benefit of either. To achieve high productivity, integration of these systems is required. However, the utilisation of either an ERP or ECM system is absent in many organisations. The purpose of this paper is to explore the development of a framework that may support the integration of an ERP into an ECM system at Rand Water.

This qualitative study used a case design with 14 interviewees from different levels in the organisation and diverse business units using ERP and ECM to perform their operational deliverables. Purposive sampling was used to select the interviewees in line with their area of work, role and level of operation.

This study established that the water utility company has implemented an ERP system (SAP) since 2004 and ECM systems since 1991 (Papertrail and later IBM FileNet) with only the information flow module integrated. This study suggested that to integrate ERP into ECM, human and non-human actors need to collaborate to ensure large-scale integration.

This study presents a framework for integrating ERP into ECM. It is suggested that an integration module for ERPs called extended ECM, be considered. A further study of the transfer of digital records in ECM into archival custody is recommended.

The purpose of this study is to propose a research model based on expectation-confirmation model (ECM) to examine whether interactivity and course quality factors (i.e. course content quality, course design quality) as antecedents to student beliefs can influence students' satisfaction and continuance intention of the cloud-based electronic learning (e-learning) system within the educational institution.

Sample data were collected from students enrolled in a comprehensive university in Taiwan. A total of 600 questionnaires were distributed in the campus, and 515 (85.8%) useable questionnaires were analyzed using structural equation modeling.

Findings showed that students' perceptions of interactivity, course content quality and course design quality positively significantly contributed to their perceived usefulness, confirmation and satisfaction with the cloud-based e-learning system, which in turn directly or indirectly led to their continuance intention of the system. Thus, the results strongly supported the research model based on ECM via positioning key constructs as the drivers with all hypothesized links being significant.

This study identifies three factors (i.e. interactivity, course content quality, course design quality) as drivers from the learner perspective within the cloud-based e-learning environment, and links these factors to students' satisfaction and continuance intention of the cloud-based e-learning system based on ECM. It is particularly worth mentioning that the three drivers can serve as precursors for recognizing the determinants that are crucial to understand students' satisfaction and continuance intention of the cloud-based e-learning system. Hence, this study may provide new insights in nourishing the cloud-based e-learning continuance literature in the future.

More hospitals and caregivers are realizing the importance of radiofrequency identification (RFID) technology in the face of increased healthcare costs, medical errors, and pressure of governmental mandates. The necessity for and awareness of RFID has yet to drive its widespread adoption in the healthcare industry. As such, this study aims to examine key factors that contribute to the intention to continue using RFID.

The paper adopts the expectation‐confirmation model (ECM) to study the intention of caregivers to continue using RFID as a vehicle to deliver emergency medical services. It is theorized that perceived usefulness of front‐end interoperability and back‐end interoperability along with performance expectancy contribute to confirmation experience, which in turn leads to satisfaction and ultimately to intention to continue to use RFID. The study surveys caregivers and staffs in the emergency room department of five hospitals in Taiwan.

Perceived usefulness of front‐end interoperability and performance expectancy both have significant relationships with confirmation experience; confirmation experience has a significant relationship with satisfaction, which in turn relates to intention to continue using RFID. The relationship between perceived usefulness of back‐end interoperability and confirmation experience is not significant.

This study explains RFID adoption behavior using the ECM. Limitations of the study and possible future research direction are discussed.

The results of this study should help hospital management to build commitment to the RFID system and help equipment vendors to build loyalty to the technology.

This study represents a novel attempt to explain RFID adoption behavior using the ECM. It is expected that the proposed framework and empirical findings can contribute to further understanding of how RFID is adopted and used in a hospital environment.

This study aims to discover the factors which influence user satisfaction levels and their continuous use intention (CUI) of academic library social media, and then considers how to promote and improve further work on library social media to reduce user churn and increase user satisfaction.

An updated DeLone and McLean information systems success (D&M ISS) model and the expectation confirmation model for information systems continuance (ECM-ISC) with new variables of emotions are used to examine the factors which influence user satisfaction levels and CUI of academic library social media through 445 questionnaires. Partial least squares structural equation modelling was used to analyse the data and presented in tables.

The results show that information quality, system quality and emotions affect user satisfaction and CUI, and reveal that emotions can affect that most obviously.

The WeChat public platform is mainly used in China, so the study only focuses on Chinese academic libraries. There are still limitations on the settings of observed variables which cannot cover all the causes of users’ positive and negative emotions. In addition, although the respondents of this questionnaire can represent academic library users, 445 samples are still fairly low in contrast to the great number of academic library WeChat public platform users.

This study integrates ECM-ISC and D&M ISS models, adds positive and negative emotions as new variables, to broaden the application scope of these models, and demonstrates the applicability of these two models in the fields of researching academic library social media, expanding and deepening related theories above. This also provides practical reference for academic libraries on how to improve user satisfaction and CUI of academic library social media and academic library WeChat public platforms, promoting the development of academic library social media.

The purpose of this paper is to investigate users’ continuous adoption behaviors on mobile game playing from the perspective of situational habit formation.

Based on the literature research, a continuous adoption model for situational mobile game is proposed. And the research model is assessed based on data gathered from a sample of 226 mobile game players by employing the structural equation model methodology.

The results show that situational cues represented by availability, perceived ease of use and diversion lead to repeated performance that can be represented by flow experience and satisfaction in the situational mobile game playing context. But only flow experience and diversion influence continuous usage directly. Additionally diversion, as a critical situational variable, not only indirectly affects continuous usage intention through flow experience, but also directly affects continuous usage intention for situational mobile game playing.

Mobile game adoption has been studied from different perspectives, but most research is based on the technology acceptance model. They could not explain the common fact that young people tend to be highly motivated by mobile games and can be regarded as pro-active mobile game players, but many people play mobile games only when they are bored and need a diversion. So this study attempts to illustrate the phenomena to fill the gaps.

The study aimed to understand the effect of instructional coaching on teachers' implementation of a science teaching improvement programme and whether it varies in schools of different socioeconomic statuses.

The authors conducted an experimental study. A total of 59 seventh-grade classrooms from a representative sample of public schools from the city of Buenos Aires, Argentina, were provided with research-based science educative curriculum materials (ECM) as resources to improve their teaching. A randomly selected treatment group received additional instructional coaching. Coaches met one-on-one with teachers on a weekly basis, providing pedagogical support to enact the ECM. After a 12-week intervention, the authors analyzed science teaching practices as evidenced in students' notebooks. The authors used a fidelity framework to understand the programme's implementation (with and without coaching), considering its adherence, dosage and quality, and compared how it varied across schools.

While teachers in both groups used the ECM in their science lessons (i.e. with high adherence), instructional coaching almost tripled science teaching time (i.e. the dosage) but did not increase the quality of implementation (i.e. the percentage of inquiry-based science activities taught). In low socioeconomic status schools, the effect of coaching on dosage was even more intense.

This study provides robust evidence on the impact of instructional coaching on teaching improvement programmes in science in developing countries, an under researched topic. The findings may contribute to developing targeted coaching interventions considering their effectiveness in different school contexts.