438 research outputs found
Conceptualising the role of innovation--attributes for examining consumer adoption of entertainment--related innovations
Several enhancements and new features have been introduced in the television entertainment industry to offer the viewers with a high quality viewing experience when it comes to contemporary home entertainment services. Tata SKYโs direct-to-home (DTH) service is one such service that has been recently introduced in the Indian context. For achieving an increased adoption rate of this innovation, it is important to gain an understanding of the behaviour of different factors that influence the potential consumers to form positive intentions about such innovations, in turn attracting them to accept and use of such innovations. This paper, thus aims at developing a theory-based conceptual framework for examining the consumer adoption of entertainment related innovations using the innovationattributes that have been acknowledged in the recent literature as having considerable influences on the acceptance of various innovations. Innovation-attributes from Rogersโ diffusion of innovations theory, Tornatzky and Kleinโs meta-analysis, and Moore and Benbasatโs perceived characteristics of innovating theory will be used here to develop a conceptual framework suitable for investigating the adoption of entertainment related innovations
User Adoption of IPTV: A Research Model
The development of Internet Protocol Television (IPTV) is accelerating globally and provides significant revenue opportunities depending on user adoption. Hence, user adoption of IPTV constitutes a field of interest for IPTV providers. This paper extends prior research by proposing a research model for studying the driving forces of users\u27 adoption of IPTV. Examining IPTV as a hedonic IT system, this paper stresses the importance of users\u27 perception of IPTV-specific factors as well as enjoyment for the adoption process, and incorporates a direct link between buying related aspects preceding the intention to use
To Establish Technology Diffusion Strategy in Korean OTT Service Market
ํ์๋
ผ๋ฌธ(์์ฌ) -- ์์ธ๋ํ๊ต๋ํ์ : ๊ณต๊ณผ๋ํ ํ๋๊ณผ์ ๊ธฐ์ ๊ฒฝ์ยท๊ฒฝ์ ยท์ ์ฑ
์ ๊ณต, 2021.8. ์ด์ข
์.As the pace of digitization is accelerated and consumers are finding their sources of entertainment from the Internet-based media, the competition in the Over-the-Top (OTT) market is fiercer than ever it has been so far; thus, it is crucial to understand which factor influences consumersโ intention to purchase to establish an effective marketing strategy. This study utilizes discrete choice models to explore how service attributes affect consumer decision and which factor affects the consumersโ valuation process. According to the analysis, the reference-dependent choice model does not show notable enhancement in explanatory power compared to the standard choice modeling approach. This finding stems from the distinguishable traits of the OTT market compared to previous literatureโs subjects. Additionally, consumersโ preference structure is analyzed through the hierarchical Bayes logit model according to their innovativeness and other demographic information to explore any significant psychological, socio-demographic factors influencing consumers' preference structure. Through scenario analysis, the significance of price and non-price service features is observed, and it is suggested that Korean OTT operators focus on improving user experience through various service features rather than aggressive price discount strategies. The outcome of this study implies that the model performance of choice models based on behavioral economics do not consistently outperform the classical random utility maximization model; thus, it is essential to understand the context of the target industry ahead of determining which approach to utilize.๋์งํธํ ์๋๊ฐ ๋นจ๋ผ์ง๊ณ ์๋น์๋ค์ ์ธํฐ๋ท ๊ธฐ๋ฐ ๋ฏธ๋์ด์์ ์ค๋ฝ
์์๋ฅผ ์ฐพ๋ ๊ฒฝํฅ์ด ์ฆ๊ฐํ๊ฒ ๋๋ฉฐ OTT ์์ฅ์ ๊ฒฝ์์ ๊ทธ ์ด๋ ๋ ๋ณด๋ค
์น์ดํ ์ํฉ์ด๋ค. ๋ฐ๋ผ์ ํจ๊ณผ์ ์ธ ๋ง์ผํ
์ ๋ต์ ์๋ฆฝํ๊ธฐ ์ํด์๋
์๋น์์ ๊ตฌ๋งค ์๋์ ์ํฅ์ ๋ฏธ์น๋ ์์ธ์ ์ดํดํ๋ ๊ฒ์ด ์ค์ํ๋ค. ๋ณธ
์ฐ๊ตฌ์์๋ ์ด์ฐ ์ ํ ๋ชจํ์ ํ์ฉํ์ฌ ์๋น์ค ์์ฑ์ด ์๋น์ ๊ฒฐ์ ์ ๋ฏธ์น๋
์ํฅ๊ณผ ์๋น์์ ๊ฐ์นํ๊ฐ์ ์ํฅ์ ๋ฏธ์น๋ ์์ธ์ ํ์ํ์๋ค. ๋ถ์์
๋ฐ๋ฅด๋ฉด ํ๋๊ฒฝ์ ํ์ ๊ธฐ๋ฐ์ผ๋ก ํ ์ค๊ฑฐ์์กด ์ ํ๋ชจํ์ ๊ธฐ์กด ์ ํ๋ชจํ์
๋นํด ํฐ ๋ชจํ ์ค๋ช
๋ ฅ์ ํฅ์์ ๊ฐ์ ธ์ค์ง ๋ชปํ๋ ๊ฒ์ ๊ด์ฐฐํ์๋ค. ์๋น์
ํน์ฑ์ ๋ํ ๊ณ์ธต์ ๋ฒ ์ด์ง์ ๋ถ์์ ์ธ๊ตฌํต๊ณ์ ํน์ฑ๊ณผ ์๋น์ ํ์ ์ฑ
์์ค์ ๋ฐ๋ผ ์ํ๋์์ผ๋ฉฐ ์ด๋ฅผ ํตํด ์๋น์ ์ ํธ๊ตฌ์กฐ์ ๊ฐ์ธ๋ณ ํน์ฑ์ด
๊ฐ์ง๋ ์ฐ๊ด์ฑ์ ํ์ํ์๋ค. ๋ํ ์๋๋ฆฌ์ค ๋ถ์์ ์ํํจ์ผ๋ก์จ ์ฝํ
์ธ 67
๋ค์์ฑ, ๋
์ ์ฝํ
์ธ , ์ค๋งํธ TV ํธํ์ฑ ๋ฑ ๋น ๊ฐ๊ฒฉ ์์ธ์ ์ค์์ฑ์
์ค์ฆ์ ์ผ๋ก ๊ด์ฐฐํ์๋ค. ๋ณธ ์ฐ๊ตฌ์ ๊ฒฐ๊ณผ๋ ํ๊ตญ OTT ์ ๊ณต ์
์ฒด๊ฐ ๊ณต๊ฒฉ์ ์ธ
๊ฐ๊ฒฉ์ ์ฑ
์ ํผ์น๊ธฐ ๋ณด๋ค ์๋น์ ๊ฒฝํ์ ํฅ์์ํฌ ์ ์๋๋ก ๋ค์ํ ์๋น์ค
๊ธฐ๋ฅ๋ค์ ์ง์คํ ๊ฒ์ ์ ์ํ๋ค. ๋ํ ํ๋๊ฒฝ์ ํ์ ๊ธฐ๋ฐ์ผ๋ก ํ ์ค๊ฑฐ์์กด
์ ํ๋ชจํ์ ์ด์ ์ฐ๊ตฌ๋ค๊ณผ๋ ๋ฌ๋ฆฌ ๊ธฐ์กด ์ ํ๋ชจํ๋ณด๋ค ํญ์ ์ฐ์ํ ๊ฒฐ๊ณผ๋ฅผ
๊ฐ์ ธ์ค์ง ์๋ ๊ฒ์ด ๊ด์ฐฐ๋์๊ณ , ์ด๋ ์ฐ๊ตฌ๋ถ์์ ์งํํ๊ธฐ ์์ ํด๋น ์ฐ์
,
๋๋ ์์ฅ์ ํน์ฑ, ์์ ์ฃผ๊ธฐ ๋ฑ์ ์ฐ์ ์ ์ผ๋ก ํ์
ํ๊ณ ๊ทธ์ ๋ง๋ ์ ๊ทผ
๋ฐฉ์์ ์ฌ์ฉํด์ผ ํจ์ ์ด๊ตฌํ์๋ค.Chapter 1. Introduction 1
1.1 Research Background 1
1.2 Approaches and Scope 3
1.3 Research Framework 4
Chapter 2. Literature Review 6
2.1 Previous Studies on Media โ Pay-TV and Over-the-Top Services 6
2.2 Prospect Theory and Applications 8
2.3 Previous Studies on Consumer Intention to Adopt Products and Services 10
2.4 Limitation of Previous Literature & the Significance of the Current Study 12
Chapter 3. Research Questions 13
Chapter 4. Methodology 16
4.1 Survey and Data 16
4.1.1 Descriptive Statistics 16
4.1.2 Survey Attributes 17
4.2 Mixed Logit Model Based on Neoclassical Economic Theory 20
4.2.1 Standard Mixed Logit Model 20
4.2.2 The Hierarchical Bayes Logit Model 22
4.3 Reference-dependent Choice Model Based on Behavioral Economic Theory 24
4.3.1 Reference-dependent Choice Model 24
4.3.2 Reference-dependent Choice Models with Different Reference-setting Criteria 26
4.4 Model Selection Criteria 31
Chapter 5. Analysis Results 33
5.1 The Standard Discrete Choice Model 33
5.1.1 Estimation Result of the Mixed Logit Model 33
5.1.2 Estimation Results of the Hierarchical Bayes Logit Model 35
5.2 Reference-dependent Choice Model 39
5.2.1 Estimation Results of Reference-dependent Choice Models 39
5.2.2 Goodness-of-fit Comparison Among the Choice Models 43
Chapter 6. Scenario Analysis 45
6.1 Comparison with Revealed Market Data 45
6.2 Market Share Simulation for Domestic Brands 46
Chapter 7. Implication & Conclusion 52
7.1 Academic Implication 52
7.2 Managerial Implication 53
7.3 Concluding Remark 55
Bibliography 57
Abstract (Korean) 66์
Factors of gratification contributing in continuance intention to watch movies on YouTube
YouTube has leveraged their native sharing properties and making all content digitally available to everyone under the Creative Commons license (ford.digitalsnippets.com, 2010).Thousands of movies have been uploaded to YouTube for free viewings and has affected broadcasting and cinema industry greatly (Brody, 2012).This paper is to share sets of predicted elements in YouTube said to be responsible in gratifying its multi-purposes viewers and instill continuance intentions to use the UGC for movie watching among Malaysians in Klang Valley.This was done by integrating the uses and gratification framework with several disconfirmations of motivations (content, social, process, and technology)
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Developing sustainable business models for institutionsโ provision of open educational resources: Learning from OpenLearn usersโ motivations and experiences
Universities across the globe have, for some time, been exploring the possibilities for achieving public benefit and generating business and visibility through releasing and sharing open educational resources (OER). Many have written about the need to develop sustainable and profitable business models around the production and release of OER. Downes (2006), for example, has questioned the financial sustainability of OER production at scale. Many of the proposed business models focus on OERโs value in generating revenue and detractors of OER have questioned whether they are in competition with formal education.
This paper reports on a study intended to broaden the conversation about OER business models to consider the motivations and experiences of OER users as the basis for making a better informed decision about whether OER and formal learning are competitive or complementary with each other. The study focused on OpenLearn - the Open Universityโs (OU) web-based platform for OER, which hosts hundreds of online courses and videos and is accessed by over 3,000,000 users a year. A large scale survey and follow-up interviews with OpenLearn users worldwide revealed that university provided OER can offer learners a bridge to formal education, allowing them to try out a subject before registering on a formal course and to build confidence in their abilities as learners. In addition, it was found that using OER during formal paid-for study can improve learnersโ performance and self-reliance, leading to increased retention and satisfaction with the learning experience
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Open educational resources for all? Comparing user motivations and characteristics across The Open Universityโs iTunes U channel and OpenLearn platform.
With the rise in access to mobile multimedia devices, educational institutions have exploited the iTunes U platform as an additional channel to provide free educational resources with the aim of profile-raising and breaking down barriers to education. For those prepared to invest in content preparation, it is possible to produce interactive, portable material that can be made available globally. Commentators have questioned both the financial implications for platform-specific content production, and the availability of devices for learners to access it (Osborne, 2012).
The Open University (OU) makes its free educational resources available on iTunes U and via its web-based open educational resources (OER) platform, OpenLearn. The OUโs OER on iTunes U reached the 60 million download mark in 2013; its OpenLearn platform boasts 27 million unique visitors since 2006. This paper reports the results of a large-scale study of users of the OUโs iTunes U channel and OpenLearn platform. A survey of several thousand users revealed key differences in demographics between those accessing OER via the web and via iTunes U. In addition, the data allowed comparison between three groups: formal learners, informal learners and educators.
The study raises questions about whether university-provided OER meet the needs of users and makes recommendations for how content can be modified to suit their needs. As the publishing of OER becomes core to business, we reflect on reasons why understanding usersโ motivations and demographics is vital, allowing for needs-led resource provision and content that is adapted to best achieve learner satisfaction, and to deliver institutionsโ social mission
A Conceptual Framework for Consumer Information Systems Development
Consumer information systems (CIS) are an emerging area of inquiry for information systems researchers. IS researchers have traditionally emphasized efficiency and effectiveness of organizational processes and system use. However, design for consumer information systems requires more attention to be paid to processes of value creation embedded in the consumer experience. This shift in focus demands a reconsideration of current information systems development approaches. In this paper we propose a conceptual framework for consumer information systems development. The framework includes six elements of co-creation of consumer value. The framework is illustrated by reviewing the findings from three case studies.
Available at: https://aisel.aisnet.org/pajais/vol2/iss1/5
ใคใใใผใใฃใ่ๅใตใผใในใฎๅฐๅ ฅใจๆฎๅใซ้ขใใ็ ็ฉถ
ๅญฆไฝใฎ็จฎๅฅ:่ซๆๅๅฃซUniversity of Tokyo(ๆฑไบฌๅคงๅญฆ
MODIFIKASI TECHNOLOGY ACCEPTANCE MODEL UNTUK INTERNET TV DI INDONESIA
This study aims to determine the communityรขโฌโขs acceptance using of the modification Technology Acceptance Model approach for internet television services. The type of research is descriptive and verification with the descriptive survey method. For operational variables consist of perceived usefulness, perceived enjoyment, perceived quality, attitude, and intention. Data obtained from Indonesia for internet television which is amounting to 213 people. The data were collected using a questionnaire instrument. Questionnaires have been prepared based on indicators of each variable by using Likertรขโฌโขs scale. The result of descriptive analysis showed that Indonesian people accepted internet television services using the modification technology acceptance model approach. The result of CB-SEM showed the model of internet television is quite fit and the hypothesis indicate that perceived usefulness, perceived enjoyment, perceived quality has influence toward intention through attitude in simultaneously and partial.Penelitian ini bertujuan untuk mengetahui penerimaan masyarakat Indonesia mengenai layanan internet tv dengan pendekatan modifikasi Technology Acceptance Model (TAM) dan variabel-variabel yang berpengaruh bagi seseorang untuk menggunakan internet tv tersebut. Jenis penelitian yang digunakan deskriptif dan verifikatif dengan penelitian survey. Untuk operasional variabel penelitian terdiri dari perceived usefulness, perceived enjoyment, perceived quality, attitude, dan intention. Data yang diperoleh dari seluruh pengguna internet Indonesia ialah sebanyak 213 orang. Pengumpulan data dilakukan melalui kuesioner. Kuesioner disusun berdasarkan indikator dari masing-masing variabel menggunakan skala Likert. Hasil analisis deskriptif bahwa masyarakat Indonesia menerima layanan internet tv dengan pendekatan modifikasi TAM dengan variabel-variabel yang meliputi perceived usefulness, perceived enjoyment, perceived quality, attitude, dan intention. Hasil analisis CB-SEM menunjukkan bahwa model layanan internet tv dengan pendekatan modifikasi TAM cukup fit dan hipotesis yang dilakukan menunjukkan bahwa perceived usefulness, perceived enjoyment dan perceived quality berpengaruh positif dan cukup signifikan terhadap intention melalui attitude baik secara parsial maupun simultan
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