دانلود و نمایش مقالات مرتبط با User satisfaction::صفحه 1
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نتیجه جستجو - User satisfaction

تعداد مقالات یافته شده: 12
ردیف عنوان نوع
1 Effects of mobile augmented reality apps on impulse buying behavior: An investigation in the tourism field
تأثیر برنامه های واقعیت افزوده تلفن همراه بر رفتار خرید ضربه: تحقیقی در زمینه گردشگری-2020
Many of todays online services are designed specifically to encourage impulse buying. Moreover, many studies have shown that with the assistance of Mobile Augmented Reality, retailers have the potential to significantly improve their sales. However, the effects of Mobile AR on consumer impulse buying behavior have yet to be examined, particularly in the tourism field. Consequently, the present study integrates the Technology Acceptance Model (TAM), Stimulus-Organism-Response (SOR) framework, and flow theory to examine the effects of Mobile AR apps on tourist impulse buying behavior. The research model is implemented using an online questionnaire, with the results analyzed by Partial-Least-Squares Structural Equation Modeling (PLS-SEM) approach. The results obtained from 479 valid samples show that the characteristics of Mobile AR apps play an important role in governing tourist behavior in making unplanned purchases. In particular, as the utility, ease-of-use, and inter- activity of the apps increase, the perceived enjoyment and satisfaction of the user also increase and give rise to a stronger impulse buying behavior. The results also reveal a mediating effect of the flow experience on the relationship between the perceived ease of use of the Mobile AR app and the user satisfaction in using the app. Overall, the findings presented in this study provide a useful source of reference for Mobile AR app developers, retailers, and tourism marketers in better understanding users preferences for Mobile AR apps and strengthening their impulse buying behavior in the tourism context as a result.
Keywords: Mobile augmented reality apps | Impulse buying | Tourism industry | Human-computer interactions | Human machine interaction | Mobile computing | Tourism management | Information systems management | Information technology | Technology adoption | Learning and memory | Tourism | Business
مقاله انگلیسی
2 Big-Data-Driven and AI-Based Framework to Enable Personalization in Wireless Networks
چارچوب مبتنی بر داده های بزرگ و مبتنی بر هوش مصنوعی برای امکان شخصی سازی در شبکه های بی سیم-2020
Current communication networks use design methodologies that prevent the realization of maximum network efficiency. In the first place, while users’ perception of satisfactory service diverges widely, current networks are designed to be a “universal fit,” where they are generally over-engineered to deliver services appealing to all types of users. Also, current networks lack user-level data cognitive intelligence that would enable fast personalized network decisions and actions through automation. Thus, in this article, we propose the utilization of AI, big data analytics, and real-time non-intrusive user feedback in order to enable the personalization of wireless networks. Based on each user’s actual QoS requirements and context, a multi-objective formulation enables the network to micro-manage and optimize the provided QoS and user satisfaction levels simultaneously. Moreover, in order to enable user feedback tracking and measurement, we propose a user satisfaction model based on the zone of tolerance concept. Furthermore, we propose a big-data-driven and AI-based personalization framework to integrate personalization into wireless networks. Finally, we implement a personalized network prototype to demonstrate the proposed personalization concept and its potential benefits through a case study. The case study shows how personalization can be realized to enable the efficient optimization of network resources such that certain requirement levels of user satisfaction and revenue in the form of saved resources are achieved.
مقاله انگلیسی
3 QoS provisioning for various types of deadline-constrained bulk data transfers between data centers
تامین کیفیت سرویس برای انواع مختلف انتقال داده های فشرده محدود بین مراکز داده-2020
An increasing number of applications in scientific and other domains have moved or are in active transition to clouds, and the demand for big data transfers between geographically distributed cloudbased data centers is rapidly growing. Many modern backbone networks leverage logically centralized controllers based on software-defined networking (SDN) to provide advance bandwidth reservation for data transfer requests. How to fully utilize the bandwidth resources of the links connecting data centers with guaranteed quality of service for each user request is an important problem for cloud service providers. Most existing work focuses on bandwidth scheduling for a single request for data transfer or multiple requests using the same service model. In this work, we construct rigorous cost models to quantify user satisfaction degree, and formulate a generic problem of bandwidth scheduling for multiple deadline-constrained data transfer requests of different types to maximize the request scheduling success ratio while minimizing the data transfer completion time of each request. We prove this problem to be not only NP-complete but also non-approximable, and hence design a heuristic algorithm. For performance evaluation, we establish a proof-of-concept emulated SDN testbed and also generate large-scale simulation networks. Both experimental and simulation results show that the proposed scheduling scheme significantly outperforms existing methods in terms of user satisfaction degree and scheduling success ratio.
Keywords: Big data | Data center | High-performance networks | Software-defined networking | Bandwidth scheduling
مقاله انگلیسی
4 User-centred web design, usability and user satisfaction: The case of online banking websites in Iran
طراحی وب کاربر محور ، قابلیت استفاده و رضایت کاربر: پرونده وب سایت های بانکی آنلاین در ایران-2019
The relationship of Web design attributes (personalisation, structure, navigation, layout, search and perfor- mance) and users personal characteristics to website usability and user satisfaction was investigated among 798 online banking users in Iran. The design and usability of the evaluated websites were not satisfactory from the users’ perspectives. Multivariate regression models indicated that Web layout and performance were the main predictors of website usability, while personal characteristics including gender, age and Web usage experience of users had no effect. User satisfaction was also influenced only by the Web design attributes (particularly Web structure) and not by the personal characteristics of the users. There was also a significant relationship between website usability and user satisfaction. The findings suggest that the website designers should focus more on the Web design attributes (particularly Web layout and structure), regardless of the personal characteristics of their users, to improve the usability and user satisfaction of websites.
Keywords: E-banking | E-satisfaction | Internet banking | Web site
مقاله انگلیسی
5 Combining different evaluation systems on social media for measuring user satisfaction
ترکیب سیستم های مختلف ارزیابی در رسانه های اجتماعی برای اندازه گیری رضایت کاربر-2018
Web 2.0 allows people to express and share their opinions about products and services they buy/ use. These opinions can be expressed in various ways: numbers, texts, emoticons, pictures, vi deos, audios, and so on. There has been great interest in the strategies for extracting, organising and analysing this kind of information. In a social media mining framework, in particular, the use of textual data has been explored in depth and still represents a challenge. On a rating and review website, user satisfaction can be detected both from a rating scale and from the written text. However, in common practice, there is a lack of algorithms able to combine judgments provided with both comments and scores. In this paper we propose a strategy to jointly measure the user evaluations obtained from the two systems. Text polarity is detected with a sentiment-based approach, and then combined with the associated rating score. The new rating scale has a finer granularity. Moreover, also enables the reviews to be ranked. We show the effectiveness of our proposal by analysing a set of reviews about the Uffizi Gallery in Florence (Italy) published on TripAdvisor.
Keywords: Social media ، Sentiment analysis ، Rating ، Knowledge management
مقاله انگلیسی
6 Combining different evaluation systems on social media for measuring user satisfaction
ترکیب کردن سیستمهای مختلف ارزیابی روی رسانه های اجتماعی برای سنجش رضایت کاربر-2018
Web 2.0 allows people to express and share their opinions about products and services they buy/use. These opinions can be expressed in various ways: numbers, texts, emoticons, pictures, videos, audios, and so on. There has been great interest in the strategies for extracting, organising and analysing this kind of information. In a social media mining framework, in particular, the use of textual data has been explored in depth and still represents a challenge. On a rating and review website, user satisfaction can be detected both from a rating scale and from the written text. However, in common practice, there is a lack of algorithms able to combine judgments provided with both comments and scores. In this paper we propose a strategy to jointly measure the user evaluations obtained from the two systems. Text polarity is detected with a sentiment-based approach, and then combined with the associated rating score. The new rating scale has a finer granularity. Moreover, also enables the reviews to be ranked. We show the effectiveness of our proposal by analysing a set of reviews about the Uffizi Gallery in Florence (Italy) published on TripAdvisor.
keywords: Social media| Sentiment analysis| Rating|Knowledge management
مقاله انگلیسی
7 On the effects of perceived value in the mobile moment
تاثیرات ارزش مشاهده شده در لحظه سیار-2018
Given that mobile phone photography has increased dramatically in popularity, people’s social networking behaviors are becoming more and more visual. Numerous image-based applications and social media are taking advantage of this growing popularity of visual content viewing, editing, and sharing, creating a new phenomenon, image-based social networking. Many image-based social apps are developed as multi-purpose systems, offering a variety of kinds of value to their users. This study proposes three kinds of mobile value – hedonic, utilitarian and sociability – to measure users’ perceptions of image-based apps, and explores how the three kinds of value impact user satisfaction and long-term behavioral intentions. The proposed model was empirically validated using a field survey of 500+ respondents. Both hedonic and sociability value can be provided by an image-based app, but not the utilitarian value, which can increase users’ willingness to pay. The resulting knowledge supports the understanding of various kinds of value by pointing out their different effects on continuance intention and willingness-to-pay. The results also indicate that men and women are affected by different kinds of mobile value when considering using an image-based app. The value that men perceive from an image-based app is generally lower than that perceived by women. Because the value configuration of an app will characterize its market position, the research findings provide implications for app vendors to develop their marketing strategy and to design the best monetization model based on the value configuration of their products.
keywords: Continuous intention |Hedonic value |Image-based social apps |Mobile value |Sociability value |Utilitarian value |Willingness-to-pay
مقاله انگلیسی
8 Improving Quality of Experience in multimedia Internet of Things leveraging machine learning on big data
بهبود کیفیت تجربه در اینترنت اشیا چندرسانه ای یادگیری ماشین بر روی داده های بزرگ-2018
With rapid evolution of the Internet of Things (IoT) applications on multimedia, there is an urgent need to enhance the satisfaction level of Multimedia IoT (MIoT) network users. An important and unsolved prob lem is automatic optimization of Quality of Experience (QoE) through collecting/managing/processing various data from MIoT network. In this paper, we propose an MIoT QoE optimization mechanism leveraging data fusion technology, called QoE optimization via Data Fusion (QoEDF). QoEDF consists of two steps. Firstly, a multimodal data fusion approach is proposed to build a QoE mapping between the uncontrollable user data with the controllable network-related system data. Secondly, an automatic QoE optimization model is built taking fused results, which is different from the traditional way. QoEDF is able to adjust network-related system data automatically so as to achieve optimized user satisfaction. Simulation results show that QoEDF will lead to significant improvements in QoE level as well as be adaptable to dynamic network changes.
Keywords: Data fusion ، Multimedia Internet of Things ، Big data ، Quality of Experience ، Machine learning ، Neural network
مقاله انگلیسی
9 Vehicular Content Delivery: A Big Data Perspective
تحویل محتویات خودرو: چشم انداز داده های بزرگ-2018
The appearance of the Internet of Vehicles enables comfort driving experiences and content- rich multimedia services for in-vehicle users. The vehicular network provides specific scenario- centric content delivery services involving data of vehicle status, user behaviors, and environmental features. In this article, we focus on vehicular content delivery from a big data perspective. After a comprehensive review of state-of-the-art works, we elaborate the potential value of big data in vehicular information and content services by introducing several typical application scenarios. According to the data characteristics, we classify the vehicular data into three categories, that is, location-centric, user-centric, and vehicle-centric, and then illustrate an implementation of big data collection and analysis. A real-world big data application in social-based vehicular networks is presented, and simulation results show that the big-data-enabled content delivery strategy can obtain a performance gain of user satisfaction with the delivered contents compared to the case without consideration of social big data. Finally, we conclude the article with several future research topics
Keywords: Big Data, data analysis,Internet, Internet of Things,mobile radio, multimedia communication,social networking (online)
مقاله انگلیسی
10 Beyond self-disclosure: Disclosure of information about others in social network sites
فراتر از افشای خود : افشای اطلاعات در مورد دیگران در سایت های شبکه های اجتماعی-2017
Massive amounts of information about others are disclosed across the world on social network sites every day. Disclosure of information about others may precipitate unanticipated consequences such as violating the privacy of another individual. Previous social network site (SNS) research has examined self-disclosure, this research examines the disclosure of information about others (DIO), building upon the theory of planned behavior and through the lens of Rests ethical decision making model. A persons concern about others privacy (COP) when he/she wants to share information about them is different from concern for himself/herself. The authors tested the posited model, using data collected with a survey instrument. Findings show that the COP, and attitude toward using SNSs influence the intention to disclose information about others. Also, COP is explained by social identity, agreeableness, extraversion, opinion leadership, sensitive information disclosure control, and prior privacy invasions. Social norms do not influence intentions to disclose information about others. Results indicate males have higher concern about others privacy than females. This research contributes to the understanding of ethical choices of information disclosure within SNSs. Findings can help SNS developers improve privacy practices, protect sensitive third-party information, and improve user satisfaction.
Keywords: Privacy | Social network sites | Others privacy | Disclosure about others | Ethical choice
مقاله انگلیسی
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