ABSTRACT
Starting from Cable connections to various options in satellite TV brands, the transition paved the way gradually for free content on applications like YouTube, which further led to the demand for quality content on OTT platforms. Over-the- Top or OTT is the abbreviation for "over-the-top” which is a new age streaming of films and TV series over the web without the need for traditional cable, or satellite pay-TV providers;the consumers can stream across multiple gadgets according to our time convenience. Beginning in the late 90s, the early 2000s marked the era of Television streaming in India. The first OTT application launched in India was BigFix, which changed the course of content consumption in our country. The Television industry once driven by cable and satellite operators has transitioned into a consumer-driven domain. Unlike TV, which requires a cable connection or an antenna, OTT material is delivered directly over Online platforms and paid for directly by viewers. The implications are that the consumers may get OTT services including video, voice, messaging and audio services, at any time and from any location, which serves to be a significant advantage over traditional TV programming. In this paper, we focus on how this paradigm change took place and what impact it has created, especially since the pandemic. © 2023 IEEE.
ABSTRACT
Purpose: Unintended consequences of knowledge management (KM) can be harmful if they are calamitous. However, they can occasionally be advantageous during catastrophes. The purpose of this study is to investigate how KM can be accidentally propitious during the COVID-19 pandemic using the case of Netflix. Design/methodology/approach: Explanatory factor analysis, multilevel and multiple regressions were used with a sample of 45 countries. Findings: In the authors' sample, the hypothesized direct relationship between culture (i.e. individualism, power distance and indulgence) and collective pandemic resilience (CPR) was found. In addition, the hypothesized moderating effect of Netflix KM on the relationship between culture and CPR was partially confirmed. The findings suggest that KM during the pandemic can generate an unintended consequence of intensifying the degree of CPR. Research limitations/implications: Small sample size, data paucity and the constructed variable of CPR might limit the generalizability of this study's results. Nonetheless, one important research implication is that KM qua unintended consequences can have a significant moderating effect on the relationship between culture and resilience. Practical implications: This paper highlights how organizations and society can cocreate the value of KM accidentally for the benefit of a larger public during calamities. Also, firms should proactively search for a wider application of their KM beyond their original intention. Originality/value: This paper initiates a new discussion of positive consequences of unintended KM. Unlike individual-level studies of collective resilience in the past, to the best of the authors' knowledge, this study generates country-level implications for the first time. © 2022, Emerald Publishing Limited.
ABSTRACT
As the world's second largest economy, by the end of 2020, China had fully solved the problem of food and clothing, and the Chinese people are working hard to improve their happiness level. Affected by the COVID-19 epidemic, e-commerce live streaming services represented by Douyin have provided people with various conveniences. People can meet their needs for communication and shopping without leaving their homes. This paper takes the New Oriental live store studio, which is set up on the Douyin e-commerce platform, as the research object. Starting from the basic elements of e-commerce live broadcast, through the typical cases and data in the two and a half months after June 9, 2022, this paper analyzes the sense of happiness built by the content marketing model of the live broadcast room, as well as the wider spread of happiness brought by user interaction and feedback. © 2022 IEEE.
ABSTRACT
In English for Specific Purposes (ESP), an area which focuses on learners' acquisition of language used to carry out tasks in specific contexts, digital mediation proves invaluable, since, among other things, it allows learners' exposure to subject-specific terminology and genre. Netflix, a subscription-based streaming service that allows members to watch TV shows, movies and documentaries on internet-connected devices, has been gaining popularity among young audiences. Even though the use of videos in the ESP teaching and learning process is not new, research that describes the experience of using Netflix in ESP is limited. This paper presents an action research study, conducted during the COVID-19 pandemic, in the context of an English for Specific Academic Purposes (ESAP) course for first year students of Commerce, Finance and Shipping at the Cyprus University of Technology. The purpose of the study was to find a way in which students would be exposed to more authentic-like language related to their field of study and to increase motivation, amidst social distancing and online instruction;for this purpose, the course facilitator utilised Netflix. The participants in the study were 42 first year students of the Department of Commerce, Finance and Shipping. Data were collected through a mixed methods approach, an online questionnaire and student reflections. The results of the study showed students' overall satisfaction with the integration of Netflix in the learning process. Despite certain challenges they faced, students noted that generally the experience was beneficial in terms of language skills improvement as well as professional skills development, among others. © 2022, Springer Nature Switzerland AG.
ABSTRACT
The implementation of nationwide lockdown during this pandemic situation has resulted into huge impact on the living style of everyone and affected various industries and companies during this lockdown resulting into a boom for those who were already present in the market with their stronghold in the online market. Some of these were the digital payment method, streaming service providers, online study platform, etc. Some of these services even reported a boom in their profit and market shares. The goal of this study was to identify the major streaming service providers in India and assess whether they made a profit during the lockdown and increase in the number of subscriber, increase in the streaming time and increase in the customer satisfaction. The result of the study shows that there was increase in the number of subscribers not only in subscriber but also increase in the streaming time too. Copyright © 2022 Inderscience Enterprises Ltd.
ABSTRACT
Purpose: Unintended consequences of knowledge management (KM) can be harmful if they are calamitous. However, they can occasionally be advantageous during catastrophes. The purpose of this study is to investigate how KM can be accidentally propitious during the COVID-19 pandemic using the case of Netflix. Design/methodology/approach: Explanatory factor analysis, multilevel and multiple regressions were used with a sample of 45 countries. Findings: In the authors’ sample, the hypothesized direct relationship between culture (i.e. individualism, power distance and indulgence) and collective pandemic resilience (CPR) was found. In addition, the hypothesized moderating effect of Netflix KM on the relationship between culture and CPR was partially confirmed. The findings suggest that KM during the pandemic can generate an unintended consequence of intensifying the degree of CPR. Research limitations/implications: Small sample size, data paucity and the constructed variable of CPR might limit the generalizability of this study’s results. Nonetheless, one important research implication is that KM qua unintended consequences can have a significant moderating effect on the relationship between culture and resilience. Practical implications: This paper highlights how organizations and society can cocreate the value of KM accidentally for the benefit of a larger public during calamities. Also, firms should proactively search for a wider application of their KM beyond their original intention. Originality/value: This paper initiates a new discussion of positive consequences of unintended KM. Unlike individual-level studies of collective resilience in the past, to the best of the authors’ knowledge, this study generates country-level implications for the first time. © 2022, Emerald Publishing Limited.
ABSTRACT
Online content streaming is the most popular form of entertainment in recent times due to COVID 19 lockdown. All popular streaming services use various product recommendation schemes to retain users to their services by intriguing them with content that they might like. Various recommendation systems have been used by famous streaming services like Netflix, Amazon Prime, Hulu, etc. but they lack consistency and accuracy as they suffer from some severe problems such as the first rater problem, sparsity problem, and various computations problems. In this research, we have come up with a hybrid machine learning recommender system which uses an ensemble of content-based and collaborative filtering techniques to not only solve all data sparsity problems but also provide more personalized recommendations to the users based on their watching history and user profile. This research provides a new algorithm that increases the quality of content that is being recommended to the users. © 2021 IEEE.
ABSTRACT
Classroom technology and increased student comfort with video instruction through streaming services such as YouTube have created opportunities for enhanced learning in both face-to-face and remote contexts. Working professionals encounter travel and distance-related obstacles that limit access to universities. However, digital technology and distance learning practices lower barriers to education by allowing those who were physically or financially limited to participate. This transition is not automatic-not all degree programs are available online, and some convert more easily to online modalities than others. This paper reports on selected effective approaches for responding to the unplanned pivot from in-person learning to a hybrid/Hyflex learning delivery mode, in the context of a largely residential institution. Our institution's immediate response to Covid-19 at The Citadel was to move all instruction online. Many universities found this approach to be sub-optimal. Recently, some schools, including The Citadel, opted for a Hyflex (Hybrid-Flexible) teaching model for the Fall 2020 return. The Hyflex model ensured that some of the students were in the classroom receiving the instruction in the traditional face-to-face mode (wearing masks and socially distanced), while others livestreamed the lesson and could participate in the lecture through Zoom, depending on their accommodation needs. Unlike purely face-to-face traditional teaching or fully online education, the Hyflex method uses both traditional lecture methods and electronic media to communicate course content to those unable to attend in person. Lecture capture devices are crucial to supporting Hyflex models of instruction. While The Citadel had built out lecture capture classrooms in previous years, scaling these capabilities up under limited time constraints during the rapid shift to online learning was cost-prohibitive. While some universities opted to keep faculty remote, The Citadel reached for a solution that would accommodate all faculty and student needs. Balancing time constraints and existing facility capacity, The Citadel researched and chose to employ the system known as the Swivl (Apple), a robotic lecture capture device that tracks the presenter and facilitates livestreamed interactions with students online. At The Citadel, lessons could also be recorded and posted to the Learning Management Systems (LMS) for students in quarantine or those experiencing poor internet reception during class times. This paper examines some of the best practices and challenges of using the Swivl system for Hyflex delivery of instruction in engineering courses and the success for faculty and students using this technology. Video recordings and delivery mode are tools in the instructional toolbox, just like lectures. Faculty members who are not experts in remote/online instruction may require periodic developmental training to ensure course quality. Instructors need and want to create a course in the preferred mode of face-to-face delivery but know that the current chaos will require all stakeholders to adapt to fully remote learning (synchronous or asynchronous) when required (pandemic or extreme weather event, etc.). © American Society for Engineering Education, 2021
ABSTRACT
The multimedia service company, Netflix, increased the number of new subscribers during the Coronavirus pandemic age. Intrusion detection systems for multimedia platforms can prevent the platform from network attacks. An intelligent intrusion detection system is proposed for the security IP Multimedia Subsystem (IMS) based on machine learning technology. For increasing the accuracy of the classifiers, it is vital to select the critical features to construct the intrusion detection system. Two-class classifiers, including the Decision Tree, Support Vector Machine, and Naive Bayesian, are selected to evaluate intrusion detection accuracy. According to the three classifiers' accuracy values, the most critical features are selected based on the features' ranking orders. Six critical features are selected:Service, dst_host_same_srv_rate, Flag, Protocol Type, Dst_host_rerror_rate, and Count. Numerical comparison with state_of_the_art shows that critical features improve intrusion detection accuracy, which can be better than the deep learning method.