438 research outputs found

    Conceptualising the role of innovation--attributes for examining consumer adoption of entertainment--related innovations

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    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 SKYโ€™s 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 Kleinโ€™s meta-analysis, and Moore and Benbasatโ€™s 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

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    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

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    ํ•™์œ„๋…ผ๋ฌธ(์„์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต๋Œ€ํ•™์› : ๊ณต๊ณผ๋Œ€ํ•™ ํ˜‘๋™๊ณผ์ • ๊ธฐ์ˆ ๊ฒฝ์˜ยท๊ฒฝ์ œยท์ •์ฑ…์ „๊ณต, 2021.8. ์ด์ข…์ˆ˜.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 literatureโ€™s 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.๋””์ง€ํ„ธํ™” ์†๋„๊ฐ€ ๋นจ๋ผ์ง€๊ณ  ์†Œ๋น„์ž๋“ค์€ ์ธํ„ฐ๋„ท ๊ธฐ๋ฐ˜ ๋ฏธ๋””์–ด์—์„œ ์˜ค๋ฝ ์š”์†Œ๋ฅผ ์ฐพ๋Š” ๊ฒฝํ–ฅ์ด ์ฆ๊ฐ€ํ•˜๊ฒŒ ๋˜๋ฉฐ OTT ์‹œ์žฅ์˜ ๊ฒฝ์Ÿ์€ ๊ทธ ์–ด๋Š ๋•Œ ๋ณด๋‹ค ์น˜์—ดํ•œ ์ƒํ™ฉ์ด๋‹ค. ๋”ฐ๋ผ์„œ ํšจ๊ณผ์ ์ธ ๋งˆ์ผ€ํŒ… ์ „๋žต์„ ์ˆ˜๋ฆฝํ•˜๊ธฐ ์œ„ํ•ด์„œ๋Š” ์†Œ๋น„์ž์˜ ๊ตฌ๋งค ์˜๋„์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์„ ์ดํ•ดํ•˜๋Š” ๊ฒƒ์ด ์ค‘์š”ํ•˜๋‹ค. ๋ณธ ์—ฐ๊ตฌ์—์„œ๋Š” ์ด์‚ฐ ์„ ํƒ ๋ชจํ˜•์„ ํ™œ์šฉํ•˜์—ฌ ์„œ๋น„์Šค ์†์„ฑ์ด ์†Œ๋น„์ž ๊ฒฐ์ •์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๊ณผ ์†Œ๋น„์ž์˜ ๊ฐ€์น˜ํ‰๊ฐ€์— ์˜ํ–ฅ์„ ๋ฏธ์น˜๋Š” ์š”์ธ์„ ํƒ์ƒ‰ํ•˜์˜€๋‹ค. ๋ถ„์„์— ๋”ฐ๋ฅด๋ฉด ํ–‰๋™๊ฒฝ์ œํ•™์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ์ค€๊ฑฐ์˜์กด ์„ ํƒ๋ชจํ˜•์€ ๊ธฐ์กด ์„ ํƒ๋ชจํ˜•์— ๋น„ํ•ด ํฐ ๋ชจํ˜• ์„ค๋ช…๋ ฅ์˜ ํ–ฅ์ƒ์„ ๊ฐ€์ ธ์˜ค์ง€ ๋ชปํ•˜๋Š” ๊ฒƒ์„ ๊ด€์ฐฐํ•˜์˜€๋‹ค. ์†Œ๋น„์ž ํŠน์„ฑ์— ๋Œ€ํ•œ ๊ณ„์ธต์  ๋ฒ ์ด์ง€์•ˆ ๋ถ„์„์€ ์ธ๊ตฌํ†ต๊ณ„์  ํŠน์„ฑ๊ณผ ์†Œ๋น„์ž ํ˜์‹ ์„ฑ ์ˆ˜์ค€์— ๋”ฐ๋ผ ์ˆ˜ํ–‰๋˜์—ˆ์œผ๋ฉฐ ์ด๋ฅผ ํ†ตํ•ด ์†Œ๋น„์ž ์„ ํ˜ธ๊ตฌ์กฐ์™€ ๊ฐœ์ธ๋ณ„ ํŠน์„ฑ์ด ๊ฐ€์ง€๋Š” ์—ฐ๊ด€์„ฑ์„ ํƒ์ƒ‰ํ•˜์˜€๋‹ค. ๋˜ํ•œ ์‹œ๋‚˜๋ฆฌ์˜ค ๋ถ„์„์„ ์ˆ˜ํ–‰ํ•จ์œผ๋กœ์จ ์ฝ˜ํ…์ธ 67 ๋‹ค์–‘์„ฑ, ๋…์  ์ฝ˜ํ…์ธ , ์Šค๋งˆํŠธ TV ํ˜ธํ™˜์„ฑ ๋“ฑ ๋น„ ๊ฐ€๊ฒฉ ์š”์ธ์˜ ์ค‘์š”์„ฑ์„ ์‹ค์ฆ์ ์œผ๋กœ ๊ด€์ฐฐํ•˜์˜€๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋Š” ํ•œ๊ตญ OTT ์ œ๊ณต ์—…์ฒด๊ฐ€ ๊ณต๊ฒฉ์ ์ธ ๊ฐ€๊ฒฉ์ •์ฑ…์„ ํŽผ์น˜๊ธฐ ๋ณด๋‹ค ์†Œ๋น„์ž ๊ฒฝํ—˜์„ ํ–ฅ์ƒ์‹œํ‚ฌ ์ˆ˜ ์žˆ๋„๋ก ๋‹ค์–‘ํ•œ ์„œ๋น„์Šค ๊ธฐ๋Šฅ๋“ค์— ์ง‘์ค‘ํ•  ๊ฒƒ์„ ์ œ์‹œํ•˜๋‹ค. ๋˜ํ•œ ํ–‰๋™๊ฒฝ์ œํ•™์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ์ค€๊ฑฐ์˜์กด ์„ ํƒ๋ชจํ˜•์€ ์ด์ „ ์—ฐ๊ตฌ๋“ค๊ณผ๋Š” ๋‹ฌ๋ฆฌ ๊ธฐ์กด ์„ ํƒ๋ชจํ˜•๋ณด๋‹ค ํ•ญ์ƒ ์šฐ์›”ํ•œ ๊ฒฐ๊ณผ๋ฅผ ๊ฐ€์ ธ์˜ค์ง€ ์•Š๋Š” ๊ฒƒ์ด ๊ด€์ฐฐ๋˜์—ˆ๊ณ , ์ด๋Š” ์—ฐ๊ตฌ๋ถ„์„์„ ์ง„ํ–‰ํ•˜๊ธฐ ์•ž์„œ ํ•ด๋‹น ์‚ฐ์—…, ๋˜๋Š” ์‹œ์žฅ์˜ ํŠน์„ฑ, ์ƒ์• ์ฃผ๊ธฐ ๋“ฑ์„ ์šฐ์„ ์ ์œผ๋กœ ํŒŒ์•…ํ•˜๊ณ  ๊ทธ์— ๋งž๋Š” ์ ‘๊ทผ ๋ฐฉ์‹์„ ์‚ฌ์šฉํ•ด์•ผ ํ•จ์„ ์ด‰๊ตฌํ•˜์˜€๋‹ค.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

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    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)

    A Conceptual Framework for Consumer Information Systems Development

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    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

    ใ‚คใƒŽใƒ™ใƒผใƒ†ใ‚ฃใƒ–่žๅˆใ‚ตใƒผใƒ“ใ‚นใฎๅฐŽๅ…ฅใจๆ™ฎๅŠใซ้–ขใ™ใ‚‹็ ”็ฉถ

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    ๅญฆไฝใฎ็จฎๅˆฅ:่ซ–ๆ–‡ๅšๅฃซUniversity of Tokyo(ๆฑไบฌๅคงๅญฆ

    MODIFIKASI TECHNOLOGY ACCEPTANCE MODEL UNTUK INTERNET TV DI INDONESIA

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    This study aims to determine the communityรขโ‚ฌโ„ขs 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 Likertรขโ‚ฌโ„ขs 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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