Incorporating network and service quality into quality of experience measurement for network services

Measuring the quality of IP network services that users are experiencing and maintaining their loyalty towards these services are the most important factors that service providers consider. The existing evaluation methods for calculating the Quality of Experience (QoE) are categorized into two groups named subjective and objective. The subjective approaches are expensive and time consuming. The focus of this study is on objective measurement of QoE for VoIP application, but the main problem with these approaches is that they do not consider all the network and service details in their calculation models. During conducting the research, different questions has been focused on, how QoE measurement can help service providers in their business, and how objective measurement of QoE can be conducted to cover all the factors which are needed to measure the best and the most accurate quality from the user’s point of view. The results of this research are based on a survey which has been done in UTM main campus (Johor) between three engineering faculties, experimental results and information from literature. At the end of this study a new model for measuring the QoE of VoIP application is proposed and based on this model a managing and monitoring framework for QoE is presented. This framework has 6 phases where in each phase different attributes and parameters are measured and calculated and then are utilized in the proposed model to repot the final level of QoE

Triangle-based QOE measurement model for VOIP application

Measuring the quality of IP network services that users are experiencing and maintaining their loyalty towards these services are the most important factors that service providers consider. The existing evaluation methods for calculating the Quality of Experience (QoE) are categorized into two groups named subjective and objective. The subjective approaches are expensive and time consuming. The focus of this study is on objective measurement of QoE for VoIP application, but the main problem with these approaches is that they do not consider all the network and service details in their calculation models. The purpose of this paper is to propose a new approach to calculate QoE based on the area of triangle. This model considers all aspects that affect the experiencing quality from user. The experimental results show that the calculated QoEs are more realistic than the conventional ones

Customer Oriented Business Process Improvement Methodlogy for Public Sector Organizations

The globalization of businesses and the germination of customer satisfaction importance induced a profound transfer from transitional to relational marketing, together with the introduction of relationship marketing concept. To surmount this transition, business process improvement is acknowledged as one of the prevailing methods to conduct changes in organizations. Concerning the achievement of process superiority and the superlative services to customers, practitioners are advised to benefit the customer-oriented BPI methodologies. While they have their roots in private sectors and manufacturing organizations, recently they are widely used in public sectors as well. Since the essential essence of BPI in public sectors is enhancing the satisfaction of customers, the existing approaches mainly focus on cost reduction and policy-based process introduction. Sifting through organizations’ processes, diagnosing befitting tools, and evaluating techniques can be a daunting task. The available literature on business process improvement in public sectors is full with recommendations on how to do improvements and the methodologies, but what is lacking is a customer-oriented BPI guideline together with necessary tools and technologies for each step. Following the mentioned gap, this paper proposes a customer-oriented methodology to conduct process improvement smoothly in public sectors besides the necessary tools and techniques for each phase

The status quo and the prospect of green IT and green IS: a systematic literature review

The research on the relationship between environmental sustainability, Information Technology, and Information Systems under the terms of Green IT and Green IS has grown exponentially during the last five years specifically in IS research community. We have applied the systematic literature review to understand and summarize the existing research related to the field with the aim of understating better the research field, categorizing the studies and identifying some research opportunities and gaps for future research. Our systematic literature review highlighted the need of research in some topics. This review summarizes the state of available information related to Green IT and Green IS studies

Green IT/IS adoption as corporate ecological responsiveness: An academic literature review

This paper provides an academic literature review on the adoption of Green information technology (IT) and Green information systems (IS) in organizational context. The analysis of studies has been done by a framework with two dimensions, motivation towards the adoption (strategic or idealistic/altruistic) and locus of responsibility (individual or corporate). Based on the adopted framework, the discussion focuses on the status quo of IS literature on the adoption and diffusion of Green IT/IS by organizations from the lens of corporate social responsibility (CSR) and corporate ecological responsiveness (CER). Despite the growing number of papers investigating the adoption of Green IT/IS, the analysis of the study revealed some shortcomings in the existing literature. The implications for the future studies are provided based on the findings

Influence Processes for Practicing Green Information Technology: Elaboration Likelihood Model

Green Information Technology (IT) adoption has been the focal point for Information System researchers in recent years. These studies have focused on identifying factors that influence individuals’ intention or actual behavior either positively or negatively. To the best of the researchers’ knowledge, no study has examined how persuasion can be used to influence Green IT practicing and if persuasive processes can better influence the adoption of Green IT initiatives. The purpose of this study, therefore, is to examine how process of external influences shape practicing of Green IT among potential users. Upon elaboration-likelihood model (ELM), we propose a research model to compare two alternative influence processes, the central and peripheral routes, in motivating the Green IT adoption. Drawing on the ELM, six hypotheses were developed and are going to be validated empirically using a survey from Users. This study contributes to the Green IT literature by addressing an unexplored area of research, namely the process of influence that can shape the perceptions of individuals towards the adoption of Green IT

Recommendation quality, transparency, and website quality for trust-building in recommendation agents

Trust is a main success factor for automated recommendation agents on e-commerce sites. Various aspects can contribute to the development of trust toward such an agent, including perceptions about the usefulness of the recommendations, the transparency of the recommendation process, and the general quality of the website. These factors have been analyzed in isolation in the literature though. We propose and evaluate a new trust model that integrates these factors, and allows us to assess their relative importance for trust-building. We conducted empirical studies in the context of two popular e-commerce websites. The findings suggest that transparency is equally important to consumers for building trust as recommendation quality, and that general we site quality contributes to the development of trust. The findings indicate that focusing on recommendation quality may be insufficient and higher levels of adoption of the recommendations can be achieved when several trust-building factors are considered

The moderating effect of experience on the intention to adopt mobile social network sites for pedagogical purposes: An extension of the technology acceptance model

With numerous benefits of utilising mobile social network sites (SNSs) for learning purposes, limited studies have been conducted to determine the factors that influence the adoption of mobile SNSs in facilitating learning. Accordingly, the main purpose of this study is to explore the determinants of students’ behavioural intention to use mobile SNSs for their pedagogical purposes by utilising an extended version of Technology Acceptance Model. Furthermore, the moderating effect of users’ experience on their behavioural intention was investigated. Using a structured questionnaire, data were collected from 600 students from top-five public universities of Malaysia. The results revealed perceived task-technology fit as the great predictor of users’ intention and perceived usefulness. Although the moderating impact of students’ experience on the model found to be positive, it was not supported in this study. The contributions of this study both to the literature and practice are discussed

Psychological factors influencing the managers' intention to adopt green IS: A review-based comprehensive framework and ranking the factors

This paper proposes a comprehensive framework of the individual factors that influence organizational decision-makers to adopt Green information systems (IS), based on a review of psychological theories and empirical studies on Green IS and technology adoption. The objectives of this paper are, firstly, to explain that the adoption of Green IS by managers is directly influenced by their intention, which is assumed to be influenced by their attitude towards Green IS, subjective norms, perceived behavioral control and personal norms. In the framework, attitude towards Green IS is influenced by managers' positive and negative affect in response to Green IS. The findings of this study show that subjective norms are reflected from three sources containing primary, secondary and work referents. Perceived behavioral control includes self-efficacy, monetary cost–benefit assessment and the ethical climate of the organization. Personal norms are influenced by awareness of consequences, ascription of responsibilities and personal values including self-transcendence and self-enhancement. Secondly, the paper aims to assess the importance of the individual factors that influence the organizational decision-makers to adopt Green IS. Accordingly, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) is applied to rank the importance of the factors incorporated in the proposed framework. The data for this study is collected by conducting an online survey through a structured questionnaire-based instrument comprising 5-point Likert-type scales. The findings of this study contribute to the Green IS literature by improving the decision-making process in IS adoption for the purpose of environmental sustainability enhancement. It is hoped that the proposed model would help to clarify the relative importance of the psychological and socio-demographic factors influencing the adoption of Green IS by organizational decision-makers

Classification and Analysis of Optimization Techniques for Integrated Energy Systems Utilizing Renewable Energy Sources: A Review for CHP and CCHP Systems

Energy generation and its utilization is bound to increase in the following years resulting in accelerating depletion of fossil fuels, and consequently, undeniable damages to our environment. Over the past decade, despite significant efforts in renewable energy realization and developments for electricity generation, carbon dioxide emissions have been increasing rapidly. This is due to the fact that there is a need to go beyond the power sector and target energy generation in an integrated manner. In this regard, energy systems integration is a concept that looks into how different energy systems, or forms, can connect together in order to provide value for consumers and producers. Cogeneration and trigeneration are the two most well established technologies that are capable of producing two or three different forms of energy simultaneously within a single system. Integrated energy systems make for a very strong proposition since it results in energy saving, fuel diversification, and supply of cleaner energy. Optimization of such systems can be carried out using several techniques with regards to different objective functions. In this study, a variety of optimization methods that provides the possibility of performance improvements, with or without presence of constraints, are demonstrated, pinpointing the characteristics of each method along with detailed statistical reports. In this context, optimization techniques are classified into two primary groups including unconstrained optimization and constrained optimization techniques. Further, the potential applications of evolutionary computing in optimization of Integrated Energy Systems (IESs), particularly Combined Heat and Power (CHP) and Combined Cooling, Heating, and Power (CCHP), utilizing renewable energy sources are grasped and reviewed thoroughly. It was illustrated that the employment of classical optimization methods is fading out, replacing with evolutionary computing techniques. Amongst modern heuristic algorithms, each method has contributed more to a certain application; while the Genetic Algorithm (GA) was favored for thermoeconomic optimization, Particle Swarm Optimization (PSO) was mostly applied for economic improvements. Given the mathematical nature and constraint satisfaction property of Mixed‐Integer Linear Programming (MILP), this method is gaining prominence for scheduling applications in energy systems