The Applicability of E‐S‐QUAL for Assessing the Serivce Quality of Social Media Services in Academic Libraries

2021 ◽  
Author(s):  
Hae Min Kim
Keyword(s):  
Social Media ◽  
Academic Libraries ◽  
Media Services

scholarly journals Negative recommendation in social media – theoretical approach and case studies

2017 ◽  
pp. 45-60
Author(s):  
Aleksandra Kaniewska-Sęba ◽  
Beata Pająk-Patkowska
Keyword(s):  
Social Media ◽  
Case Studies ◽  
Word Of Mouth ◽  
Brand Image ◽  
Negative Experience ◽  
Service Levels ◽  
The Social ◽  
Media Services ◽  
Brand Crisis

The Internet, including the social media services, has considerably changed the manner in which consumers voice favourable or unfavourable recommendations about products and services. Development of social media allowed reaching a significantly greater number of persons in a quicker way. One may also notice that the range of thematic comments has been expanded – customers speak not only about the quality of the products, their prices, service levels, but also about other aspects of how marketing companies function. Finally, it is worth paying attention to the language of these opinions, which – in the case of a negative experience with a product or retailer advertising – is often aggressive. With the development and dissemination of social networking, PR and marketing communications managers must learn how to communicate and satisfy customers and those who express their discontent at different stages of the purchase funnel. This is especially important in the case of negative word of mouth (NWOM) because every negative opinion can become the nucleus of major problems within brand image and the brand crisis. The aim of the article is to show the specificity of word of mouth in social media (sWOM) as one of the forms of electronic word of mouth (eWOM) and to depict phenomenon of NWOM in social media basing on selected case studies from the Polish market.

scholarly journals ЕЛЕКТРОННІ СОЦІАЛЬНІ МЕРЕЖІ ЯК СКЛАДНИК СУЧАСНИХ СОЦІАЛЬНИХ МЕДІА

2016 ◽  
Vol 55 (5) ◽  
pp. 42 ◽  
Author(s):  
Olga E. Konevshchynska ◽  
Svitlana G. Lytvynova
Keyword(s):  
Social Media ◽  
Educational Practice ◽  
Educational Process ◽  
Children And Youth ◽  
Electronic Networks ◽  
Additional Tool ◽  
Media Services ◽  
Literacy Training

In the article it has been analyzed the essence of terminological concepts such as "Media", "Social Media", "social electronic networks", "technology Web 2.0» in research sphere of the studied problem. There is given the analysis of recent publications on research of opportunities of social media services usage to form mediaand informational literacy training and implementation of innovation in educational practice. The author's vision of social media in the context of their use in secondary schools is presented. The role of networking as a necessary additional tool to improve the quality of the educational process is investigated. The pedagogical experience of using services of electronic social networks in teaching children and youth is analyzed.

Microsurgery Fellowship Website and Social Media Presence: Are Programs Optimizing Recruitment Strategy?

2020 ◽  
Author(s):  
Andrew Atia ◽  
Hannah C. Langdell ◽  
Andrew Hollins ◽  
Ronnie L. Shammas ◽  
Adam Glener ◽  
...  
Keyword(s):  
Social Media ◽  
Plastic Surgery ◽  
San Francisco ◽  
Selection Process ◽  
Recruitment Strategy ◽  
Published Data ◽  
Social Media Presence ◽  
Eligibility Requirements ◽  
Program Description

Abstract Background Microsurgery fellowship applicants make decisions for future training based on information obtained from colleagues, mentors, and microsurgery fellowship program Websites (MFWs). In this study, we sought to evaluate the accessibility and quality of available information by microsurgery programs by analyzing the most commonly used web resources and social media outlets for applicants. Methods The San Francisco (SF) Match and American Society of Reconstructive Microsurgery Websites were queried in April 2020 for microsurgery fellowship programs (MFPs) participating in the SF Match. Twenty-two independent variables of information were assessed on MFWs based on previously published data. Social media presence was also assessed by querying Facebook, Instagram, and Twitter for official hospital, plastic surgery residency, and microsurgery fellowship accounts. Results All 24 MFWs participating in the SF Match had a webpage. Program description, faculty listing, operative volume, and eligibility requirements were listed for all programs (100%). The majority of MFWs listed affiliated hospitals (75%), provided a link to the fellowship application (66.7%), listed interview dates (66.7%), and highlighted research interests (50%). A minority of MFWs provided information on conference schedule (37.5%), current fellow listing (25%), previous fellow listing (16.67%), and positions held by previous fellows (8.33%). No MFWs (0%) presented information on selection process, or rotation schedule.All hospitals with an MFP had a Facebook page and nearly all had Instagram (83.3%) and Twitter accounts (95.8%). Plastic surgery residency programs at the same institution of an MFP had social media presence on Facebook (38.9%), Twitter (38.9%), and Instagram (66.7%). Only three MFPs had Facebook accounts (12.5%) and none had Instagram or Twitter accounts. Conclusion As the field of microsurgery continues to grow, the need for effective recruitment and training of microsurgeons continues to be essential. Overall, we conclude that both the accessibility and quality of information available to applicants are limited, which is a missed opportunity for recruitment.

PENGARUH KUALITAS INFORMASI DAN KUALITAS LAYANAN TERHADAP SIKAP DALAM PENGGUNAAN SISTEM APLIKASI DENGAN KEMUDAHAN PENGGUNAAN SEBAGAI VARIABEL INTERVENING PADA JASA TRANSPORTASI ONLINE (GOJEK) DI YOGYAKARTA

2019 ◽  
Vol 27 (2) ◽  
pp. 119-133
Author(s):  
Putri Aprilia Isnaini ◽  
Ida Bagus Nyoman Udayana
Keyword(s):  
Social Media ◽  
Quality Of Service ◽  
Information Quality ◽  
Sampling Technique ◽  
Ease Of Use ◽  
Quality Of Services ◽  
Quality Of Information ◽  
Transportation Services ◽  
Application Systems

This writing is done to determine the effect of information quality and service quality on attitudes in the use of application systems with the ease of use of the system as an intervining variable in online transportation services (gojek) in Yogyakarta. The sample in this study is customers who use online motorcycle transportation services in Yogyakarta. The sampling technique uses accidental sampling technique. Data collection is done by distributing online questionnaires through the Goegle form and distributed with social media such as WhatsApp and Instagram on a 1-4 scale to measure 4 indicators. The results of this study show 1) the quality of information affects the ease of use, 2) the quality of service affects the ease of use, 3) the quality of information influences attitudes in use, 4) the quality of services does not affect attitudes in use, and 5) ease of use attitude in use.

Maqâṣid Al-Qur’ân In The Interpretation of M. Quraish Shihab About The Verse of Social Media Usage

2020 ◽  
Vol 28 (1) ◽  
pp. 44
Author(s):  
Johar Arifin ◽  
Ilyas Husti ◽  
Khairunnas Jamal ◽  
Afriadi Putra
Keyword(s):  
Social Media ◽  
Law Enforcement ◽  
Quality Of Information ◽  
Media Usage ◽  
Large Group ◽  
Six Elements ◽  
Written Law ◽  
Use Of Social Media ◽  
The Universe

This article aims to explain maqâṣid al-Qur’ân according to M. Quraish Shihab and its application in interpreting verses related to the use of social media. The problem that will be answered in this article covers two main issues, namely how the perspective of maqâṣid al-Qur’ân according to M. Quraish Shihab and how it is applied in interpreting the verses of the use of social media. The method used is the thematic method, namely discussing verses based on themes. Fr om this study the authors concluded that according to M. Quraish Shihab there are six elements of a large group of universal goals of the al-Qur’ân, namely strengthening the faith, humans as caliphs, unifying books, law enforcement, callers to the ummah of wasathan, and mastering world civilization. The quality of information lies in the strength of the monotheistic dimension which is the highest peak of the Qur’anic maqâṣid. M. Quraish Shihab offers six diction which can be done by recipients of information in interacting on social media. Thus, it aims to usher in the knowledge and understanding of what is conveyed in carrying out human mission as caliph, enlightenment through oral and written, law enforcement, unifying mankind and the universe to the ummah of wasathan, and mastery of world civilization

Hybrid features prediction model of movie quality using Multi-machine learning techniques for effective business resource planning

2021 ◽  
Vol 40 (5) ◽  
pp. 9361-9382 ◽  
Author(s):  
Naeem Iqbal ◽  
Rashid Ahmad ◽  
Faisal Jamil ◽  
Do-Hyeun Kim
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Resource Planning ◽  
Experimental Results ◽  
Quality Prediction ◽  
Classification Models ◽  
Hybrid Features ◽  
Social Media Data ◽  
Media Data

Quality prediction plays an essential role in the business outcome of the product. Due to the business interest of the concept, it has extensively been studied in the last few years. Advancement in machine learning (ML) techniques and with the advent of robust and sophisticated ML algorithms, it is required to analyze the factors influencing the success of the movies. This paper presents a hybrid features prediction model based on pre-released and social media data features using multiple ML techniques to predict the quality of the pre-released movies for effective business resource planning. This study aims to integrate pre-released and social media data features to form a hybrid features-based movie quality prediction (MQP) model. The proposed model comprises of two different experimental models; (i) predict movies quality using the original set of features and (ii) develop a subset of features based on principle component analysis technique to predict movies success class. This work employ and implement different ML-based classification models, such as Decision Tree (DT), Support Vector Machines with the linear and quadratic kernel (L-SVM and Q-SVM), Logistic Regression (LR), Bagged Tree (BT) and Boosted Tree (BOT), to predict the quality of the movies. Different performance measures are utilized to evaluate the performance of the proposed ML-based classification models, such as Accuracy (AC), Precision (PR), Recall (RE), and F-Measure (FM). The experimental results reveal that BT and BOT classifiers performed accurately and produced high accuracy compared to other classifiers, such as DT, LR, LSVM, and Q-SVM. The BT and BOT classifiers achieved an accuracy of 90.1% and 89.7%, which shows an efficiency of the proposed MQP model compared to other state-of-art- techniques. The proposed work is also compared with existing prediction models, and experimental results indicate that the proposed MQP model performed slightly better compared to other models. The experimental results will help the movies industry to formulate business resources effectively, such as investment, number of screens, and release date planning, etc.

scholarly journals Humans rely more on algorithms than social influence as a task becomes more difficult

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eric Bogert ◽  
Aaron Schecter ◽  
Richard T. Watson
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Social Influence ◽  
Correct Answer ◽  
Online Reviews ◽  
Personal Networks ◽  
Human Judgment ◽  
Individual Decision ◽  
Individual Decision Making

AbstractAlgorithms have begun to encroach on tasks traditionally reserved for human judgment and are increasingly capable of performing well in novel, difficult tasks. At the same time, social influence, through social media, online reviews, or personal networks, is one of the most potent forces affecting individual decision-making. In three preregistered online experiments, we found that people rely more on algorithmic advice relative to social influence as tasks become more difficult. All three experiments focused on an intellective task with a correct answer and found that subjects relied more on algorithmic advice as difficulty increased. This effect persisted even after controlling for the quality of the advice, the numeracy and accuracy of the subjects, and whether subjects were exposed to only one source of advice, or both sources. Subjects also tended to more strongly disregard inaccurate advice labeled as algorithmic compared to equally inaccurate advice labeled as coming from a crowd of peers.

Sign in / Sign up

Export Citation Format

Share Document