Explore the vast range of titles available.

Organizational use of information and communications technologies (ICT) is increasingly resulting in negative cognitions in individuals, such as information overload and interruptions. Recent literature has encapsulated these cognitions in the concept of technostress, which is stress caused by an inability to cope with the demands of organizational computer usage. Given the critical role of the user in organizational information processing and accomplishing application-enabled workflows, understanding how these cognitions affect users' satisfaction with ICT and their performance in ICT-mediated tasks is an important step in appropriating benefits from current computing environments. The objective of this paper is to (1) understand the negative effects of technostress on the extent to which end users perceive the applications they use to be satisfactory and can utilize them to improve their performance at work and (2) identify mechanisms that can mitigate these effects. Specifically, we draw from the end-user computing and technostress literature to develop and validate a model that analyzes the effects of factors that create technostress on the individual's satisfaction with, and task performance using, ICT. The model also examines how user involvement in ICT development and support mechanisms for innovation can be used to weaken technostress-creating factors and their outcomes. The results, based on survey data analysis from 233 ICT users from two organizations, show that factors that create technostress reduce the satisfaction of individuals with the ICT they use and the extent to which they can utilize ICT for productivity and innovation in their tasks. Mechanisms that facilitate involvement of users, and encourage them to take risks, learn, explore new ideas, and experiment in the context of ICT use, diminish the factors that create technostress and increase satisfaction with the ICT they use. These mechanisms also have a positive effect on users' appropriation of ICT for productivity and innovation in their tasks. The paper contributes to emerging literature on negative outcomes of ICT use by (1) highlighting the influence of technostress on users' satisfaction and performance (i.e., productivity and innovation in ICT-mediated tasks) with ICT, (2) extending the literature on technostress, which has so far looked largely at the general behavioral and psychological domains, to include the domain of end-user computing, and (3) demonstrating the importance of user involvement and innovation support mechanisms in reducing technostress-creating conditions and their ICT use-related outcomes.

User satisfaction with information systems (IS) is considered an important indicator of information systems success and has been the subject of numerous research studies since the field’s inception. In this paper, we review the user satisfaction research in the IS field. We discuss the roots of user satisfaction research as it pertains to satisfaction studies in marketing research and how these studies have been used to inform the IS context. We also discuss how the study of user satisfaction and use of the construct in IS research has evolved and matured over time. Finally, we discuss antecedents and outcomes of user satisfaction identified in IS research and provide suggestions for future research.

PurposeE-learning has become an increasingly prevalent learning approach in higher educational institutions due to the fast growth of internet technologies in India. This paper aims to mainly focus on evaluating the effectiveness of the e-learning experience from students’ perceptive.Design/methodology/approach“Survey” method has been used to collect the data with the help of a structured questionnaire from the students who have registered on COURSERA (www.coursera.org/) website for e-learning. The questionnaire consisted of two sections e-learning system and e-learning effectiveness. E-learning system included items related to system quality, information quality and service quality. E-learning effectiveness dimension included user satisfaction and net benefits. The items in this section were measured on a five-point Likert scale ranging from strongly disagrees to strongly agree. The data collected have been analyzed using the SPSS version 17.0 and AMOS version 21.0.FindingsResults show that system quality and service quality contribute more in e-learning system compared to information quality. Students perception may be that information available on the website may not be very useful as it’s a one-way mode of communication. The researcher also found that the three dimensions (system quality, service quality and information quality) of e-learning system contributes to user satisfaction and net benefits. Students are satisfied with e-learning websites and intent to continue to use it in future as well. They also found it beneficial as it helps them in career growth and making them employable.Originality/valueThis paper proposed a second-order model of e-learning system and a second-order model e-learning effectiveness. E-learning system has been defined by three first-order constructs: a system quality, service quality and information quality. E-learning effectiveness has been defined by two first-order constructs: a user satisfaction and net benefits. The predictability of the proposed model is high to explain the impact of e-learning system on e-learning effectiveness.

PurposeThe purpose of this research is to identify the antecedents and consequences of satisfaction when using Instagram. We also aim to verify if the intention to follow an account and interact with it positively influences the endorsed brand attitude, resulting in purchase intention on Instagram.Design/methodology/approachWe undertook primary data collection through a quantitative, descriptive and cross-sectional approach, applying a nonprobabilistic sampling method by convenience and accessibility. We conducted data collection by means of an online questionnaire, which gained 447 respondents. The data analysis technique was SEM-PLS.FindingsThe results indicated that utility, entertainment and socialization tend to predict user satisfaction when using Instagram, and this satisfaction tends to generate a following and interacting behavior with other users. The results also suggest that by establishing this continuous relationship with other users, there is a greater possibility of users endorsing the brands presented to them, which may lead to greater purchase intention.Research limitations/implicationsWe bring relevant information to companies for the development of virtual engagement, allowing them to better develop a strategy for reaching new Instagram followers by analyzing their behavior.Originality/valueThe study expands the field of uses and gratifications (U&G) theory in the use of Instagram, using antecedents of satisfaction. In relation to consequences, this study includes in the model a commercial base in terms of endorsed brand attitude and purchase intention.

This study aims to evaluate the success of the Student Information System (SIS) using the updated Information System Success Model (IS success model) proposed by Delone and McLean. Survey data were collected from 882 students using SIS at a state university in Turkey. Structural Equation Model analysis was applied through R to analyze the obtained data. According to the empirical results, system quality, information quality, and service quality had a significant effect on use. However, system quality, information quality, and service quality did not significantly affect user satisfaction. In addition, both system use, and user satisfaction have no significant impact on the success of SIS. As a result, it would be beneficial for higher education institutions to evaluate the achievements of existing SISs to increase the use of SIS and student satisfaction.

Recommender systems for technology-enhanced learning are examined in relation to learners’ agency, that is, their ability to define and pursue learning goals. These systems make it easier for learners to access resources, including peers with whom to learn and experts from whom to learn. In this systematic review of the literature, we apply an Evidence for Policy and Practice Information (EPPI) approach to examine the context in which recommenders are used, the manners in which they are evaluated and the results of those evaluations. We use three databases (two in education and one in applied computer science) and retained articles published therein between 2008 and 2018. Fifty-six articles meeting the requirements for inclusion are analyzed to identify their approach (content-based, collaborative filtering, hybrid, other) and the experiment settings (accuracy, user satisfaction or learning performance), as well as to examine the results and the manner in which they were presented. The results of the majority of the experiments were positive. Finally, given the results introduced in this systematic review, we identify future research questions.

This study aims to examine an e-learning system based on student perceptions through employing the Information Systems Success Model (IS Success Model). The study is built on the assumption that system quality and information quality affect the system use and user satisfaction and in turn system success. The survey data was collected from 144 students who use an e-learning system at a public university in Rome, Italy. The data was subject to PLS path-modeling analysis via Smart PLS 3.0. The empirical results, which are drawn from the students’ self-reported perceptional evaluations about the e-learning system confirm that whereas system quality has significant impact on both system usage and user satisfaction, information quality has significant impact only on user satisfaction. Moreover, the author also found that both user satisfaction and system usage have positive and significant impacts on system success.

When a group of Mobile Users (MUs) equipped with multi-mode or multi-home terminals, like passengers on board a bus or a train or a car, moves from one wireless network (WN) to another WN within a heterogeneous wireless network (HWN) environment, request vertical handoffs simultaneously, a group vertical handoff (GVHO) occurs. In literature, the prevailing research work is mainly concerned for forced GVHO with network aspects like signal strength and bandwidth etc. while in reality the user initiated GVHO with the user aspects like price, power consumption and velocity etc. along with their respective user preferences is more important for performing vertical handoffs in HWNs. In user initiated GVHO, selection of the mutually best WN-MU pair which can maximise network revenue of constituent WN as well as user satisfaction of MU in a group while minimising the simultaneous selection of a WN by multiple MU of the group is a challenging problem. This paper proposes a GVHO decision model based on non-cooperative game which utilizes multiple handoff decision attributes and their respective user preferences calculated dynamically on real-time basis as the game strategies to select the best available WNs by group MUs at NASH equilibrium for vertical handoffs. The performance of the proposed model is evaluated in terms of number of GVHOs, price of anarchy and price of stability for both group of MUs and WNs. The simulation results show that the proposed model results in minimum number of GVHOs as compared to existing GVHO models and maximisation of user satisfaction and network revenue.

The increasing demand for renewable energy sources indicates that an increasing number of single-family homeowners are choosing photovoltaic installations. These systems facilitate self-sufficient electricity production, increasing the energy independence of households. Although the prevalence and advancements in this field are growing, users frequently experience technical problems and failures that can affect the efficiency of the installation and the satisfaction with their use. The aim of this paper is to analyze the problems encountered by users of photovoltaic installations in single-family buildings. The study relies on user feedback, enabling the identification of the most frequently occurring issues from their viewpoint and the assessment of the reliability of the systems. While the analysis does not allow for a direct technical diagnosis of faults, the results obtained from the surveys provide valuable information on the frequency of problems and the elements of the system that require special attention. On this basis, conclusions can be drawn that can support further work on improving the reliability of the installation. The presented analysis includes not only specific failures, but also the overall satisfaction of users.

Purpose Digital Libraries are complex, and this complexity is a motive to study user success on the behalf of appropriate user success models. These models comprise the factors which play a part between people, technology and organizations. The purpose of this study was to specify and examine an integrated digital library user success (IDLUS) model within the context of digital library settings, Higher Education Commission National Digital Library (HEC-NDL) of Pakistan, by adopting and reusing the existing digital library and Web success models. Design/methodology/approach Stratified random sampling technique was used to choose the sample from the University of the Punjab, a highly ranked public sector university in Pakistan. Participants were asked to complete an adapted survey questionnaire. A total of 355 completed and usable questionnaires were obtained. Data analyses through confirmatory factor analyses and structural equation modeling produced the results that have supported the proposed IDLUS model. The proposed IDLUS model was tested and supported through model fit statistics in the academic computing environment of the HEC-NDL of Pakistan. Findings Findings revealed that relationships between the latent variables hypothesized in the model were confirmed. Research limitations/implications The study has both theoretical and practical ramifications for academicians and information system designers and developers. Originality/value The IDLUS model is recommended first time in the history of librarianship in Pakistan as an overall user success model in the digital library information system computing environment. That made numerous recommendations for future research in the field of information management, particularly for digital library development at national and international levels.