Factors influencing the low usage of smart TV services by the terminal buyers in Korea

Park, Jong‐Hyun; Moon-Koo, Kim

doi:10.1016/j.tele.2016.01.001

Cited by 26 publications

(29 citation statements)

References 41 publications

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“…It is crucial to recognise consumer's PI because their actions are usually predicted through their intentions (Hsu et al, 2017). There were existing studies found that SQ and CS ultimately determined the consumer's PI, which is an important of actual buying behaviour (Mariam et al, 2018;Shrawan & Mohit, 2018;Kim, 2016;Shin, 2015). Therefore, the construct of PI is considered as an outcome variable in this study and included as a dependent variable in our model.…”

Section: Purchase Intention (Pi)mentioning

confidence: 99%

The Effects of Service Quality on Satisfaction and Purchase Intention in Mobile Commerce

Paiz¹,

Ali²,

Abdullah³

et al. 2020

IJBM

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The purpose of this study is to investigate the effect of service quality on the relationship between mobile shoppers’ satisfaction and purchase intention towards mobile commerce. The survey method was conducted with a structured questionnaire that was distributed to 385 mobile users in Malaysia which tested against a proposed model using partial least square structural equation modelling. The result confirms service quality affects mobile shoppers’ satisfaction and purchase intention directly. Furthermore, the result also affirms that mobile shoppers’ satisfaction mediates the relationship between service quality and purchase intention. This study will assist the mobile commerce industry to understand mobile shoppers’ behaviour in Malaysia.

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Section: Purchase Intention (Pi)mentioning

confidence: 99%

The Effects of Service Quality on Satisfaction and Purchase Intention in Mobile Commerce

Paiz¹,

Ali²,

Abdullah³

et al. 2020

IJBM

View full text Add to dashboard Cite

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“…Yu, Hong and Hwang (2016) described STV as a TV set with built-in internet access, based on operating system (OS) that not only provides the broadcasting function of conventional TV but also application stores, searching, game and SNS service. Park and Kim (2016) defined STV as smart media with OS and CPU on a digital TV platform, offering existing broadcasting, VOD, SNS, home network access, and other applications from app store. STV can display broadcast programs from traditional broadcasting channels as well as content from the Internet, so that both sources can be equally used as suppliers of information (Murschetz and Evens, 2013).…”

Section: Concept Of Smart Tv (Stv)mentioning

confidence: 99%

“…For example, STV can provide the consumers to access online content such as news, weather forecasts, and map, as well as to use various application services such as social networking services, games, online streaming services (e.g. YouTube) and video on demand (VOD) services (Park and Kim, 2016). Bae and Chang (2012) expected STVs will become a smart hub at home by linking smartphone, handheld devices, and computers and controlling electricity, temperature, home security, and other home entertainment systems.…”

Section: Introductionmentioning

confidence: 99%

“…Previous studies expected the STV industry to be very attractive (Park and Kim, 2016). In the U.S., BI Intelligence estimated that around 25 million STVs will be active in American households by 2016 (Hoelzel, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…In the U.S., BI Intelligence estimated that around 25 million STVs will be active in American households by 2016 (Hoelzel, 2014). In Korea, according to Korea Telecom, STVs account for more than 50% of the entire TV market share in 2015 (Park and Kim, 2016).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Service-Led Model for the Activation of Smart TV: Case Study in Korea

2019

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Purpose: This study explores the characteristics of STV service to empirically examine effects of the services on adoption and usage of STV to lead sustained growth of the STV industry.Methodology/Approach: This study employs structural equation modeling as a quantitative approach, to examine causal relationships between service characteristics and user intentions. The survey collects 212 data only from actual users of STV, who have experienced STV functions or services, in South Korea. Findings:The results of service-oriented model based on extended Technology Acceptance Model (TAM) indicate that 'interactivity', 'content quality', and 'simplicity' as service characteristics influence intention to use STV.Research Limitation/implication: First, the STV industry should establish a distribution structure that generates sufficient profits for content providers as done in Smartphone market. Second, Services of STV should be provided to allow two-way communication and to allow users to engage in active interactions with other users. Originality/Value of paper:This study makes contributions to research on both new products and service adoption by providing richer explanations of the mechanisms acting on the actual use of STV. Given that STV is considered a key appliance for the next generation of social media and smart appliance, our findings offer new directions on how to realize high quality services in the STV industry. Category: Research paper

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Usability heuristics for the set‐top box and TV interfaces

Kaya

Gümüşsoy

Ekmen

et al. 2021

Hum Ftrs & Erg Mfg Svc

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Set-top box (STB) is a special interface device that is connected to a TV and allows digital content to be received, decoded, and displayed on the TV. The new features added to STB&TVs increase the complexity of the systems and lead to usability problems. This study proposes a set of usability heuristics and their corresponding criteria specific to STB&TV interfaces that usability experts may use during the design and evaluation process. In this study, a total of 493 usability problems were collected from three sources: problems identified by software developers during the design and development phase, problems identified by three experts with cognitive walkthrough approach, and problems collected from customer complaints made to the service or call center. Then, each heuristics' checklist item was rated by the experts for how well they explain the usability problems, and the severity levels of the usability problems were determined. In the next step, through correspondence and cluster analyses, heuristics and the checklists were listed in descending order of severity. Furthermore, the proposed heuristic list was validated with three methods-user testing, expert judgment, and heuristic evaluation. As a result of this study, 16 usability heuristics were identified. Five of these heuristics-Visibility of system status (H4), Pleasurable and respectful interaction with the user (H13), Privacy (H14), Parental control (H15), and Easy access (H16) are related to catastrophic usability problems.

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Factors influencing the low usage of smart TV services by the terminal buyers in Korea

Cited by 26 publications

References 41 publications

The Effects of Service Quality on Satisfaction and Purchase Intention in Mobile Commerce

The Effects of Service Quality on Satisfaction and Purchase Intention in Mobile Commerce

Service-Led Model for the Activation of Smart TV: Case Study in Korea

Usability heuristics for the set‐top box and TV interfaces

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