• Title/Summary/Keyword: Technology Consumer

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A Study on the Factors Affecting Chinese Consumers' Smartphone Adoption (중국소비자의 스마트폰 사용 의도에 영향을 미치는 요인)

  • Sun, Zhenbao;Park, Miyoun;Hwang, Kumju
    • Journal of Information Technology Applications and Management
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    • v.20 no.1
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    • pp.149-171
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    • 2013
  • The purpose of this study is to investigate factors influencing Chinese consumers' intention to adopt Smartphones. This paper examines Smartphone characteristics factors (situational dependence, diversity and security) and consumer personality characteristics (innovation, self-efficacy and familarity) based on the Technology Acceptance Model. The 320 sets of data are tested against the model using SEM (structural equation model). The research results reveal that diversity and security have significant influences on both perceived usefulness and perceived playfulness. According to the data analysis, self-efficacy affects only perceived easy of use, and familiarity positively affects perceived easy of use, usefulness and playfulness. This study finds that perceived easy of use and perceived usefulness have positive influences on behavioral intention to adopt Smartphones, and situational dependence and innovation directly affect the behavioral intention. The perceived cost has a negative impact on the behavioral intention. Research results are discussed, and limitations of the current study and future research are presented.

Analysis on the Competition in the Saturated Residential Broadband Access Market: Using stated consumer preference data (컨버전스 접속 서비스와 부가서비스 신규 도입시 댁내 브로드밴드 접속 서비스시장의 미래 경쟁 분석)

  • Koh Dae-Young;Kim Yoen-Bae;Lee Jeong-Dong
    • Journal of Korea Technology Innovation Society
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    • v.8 no.3
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    • pp.1060-1086
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    • 2005
  • In this paper, we attempt to predict the future of broadband access market where new convergence access technologies and additional services are introduced, based on consumer preferences. Conjoint analysis and mixed logit model is used for estimation, From the results, consumers value convergence access technologies such as PLC and wireless LAN, and TV-related service, However, valuation on new beneficial features of convergence access technologies is not enough to overcome their technological inferiorities in data transfer speed and quality stability at current technological stage, Additionally, consumer preferences are so heterogeneous that differentiated business strategies are required, Finally, some managerial and policy implications are presented.

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An Empirical Study on Consumer's Continued Use of IPTV Service (IPTV 서비스의 지속적 사용에 대한 실증 분석 연구)

  • Jin, Jing;Lee, Dong-Won
    • Journal of Information Technology Services
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    • v.8 no.1
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    • pp.11-27
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    • 2009
  • Recently, IPTV attracts great attention along with the digital convergence of communication and media technologies. This study examined critical factors on the consumer's continued use of the IPTV service. Based on the expectation-confirmation theory and the innovation diffusion theory, we derived nine key factors in the research model-relative advantage, compatibility, ease of use, image, diversity of contents, interactivity, monetary value, social influence, and user satisfaction. Using the partial least square method, we found that content diversity and compatibility have a significant indirect effect on the continued use of the IPTV service via user satisfaction, and user satisfaction and social influence also have a significant direct impact on the IPTV use. These findings not only provide practical insights on the consumer acceptance of new technology-converging services, but also help managers to plan their marketing strategies better.

Consumer Evaluation of Multiple Sales Promotion: The Moderating Role of Saving Orientation

  • Kim, Moon-Yong
    • International Journal of Advanced Culture Technology
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    • v.9 no.3
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    • pp.106-111
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    • 2021
  • Multiple sales promotions for one product can be simultaneously offered. For instance, marketers can offer a premium along with a price discount. In the present research, we primarily focus on offers containing both a bonus pack and a price discount. In particular, this research examines whether consumer evaluations of offers containing both a bonus pack and a price discount (i.e., BP + PD offers) vary according to consumers' saving orientation. Specifically, we predict that for consumers with strong (vs. weak) saving orientation, offers containing the high PD but low extra amount of BP will be more favorably evaluated than offers with a high extra amount of BP but low PD. A series of two experimental results show that consumers' saving orientation moderates their evaluations of BP and PD offers, which supports the prediction. The findings imply that marketers can evoke more positive consumer responses to BP and PD offers, considering individual differences such as saving orientation.

Analysis of Correlation between Real-time Sales Ranking and Information Provided by Mobile Movie Platform: Focus on Non-descriptive Information in Google Play Store's Best-selling Movies

  • Nam, Sangzo
    • Journal of Advanced Information Technology and Convergence
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    • v.9 no.2
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    • pp.41-54
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    • 2019
  • The cinema circuit is facing a digital, network, and mobile age, which expands non-theater accessibility to movies. Application platforms are situated as the most competitive business model that provide digital content such as games, music, books, and movies. Consumers can acquire content-related information not just offline, but online as well. Therefore, item information provided by application platforms is required. The information provided by application platforms consists of richly descriptive information such as storyline summary, consumer reviews, and related articles, while non-descriptive normative information covers data such as sales ranking, release date, genre, rental or purchase cost, domestic/foreign classification, consumer rating, number of consumer ratings, film rating, and so on. In this study, we surveyed and analyzed statistically the correlation between real-time sales ranking and other comparable non-descriptive information.

Effects of TR and Consumer Readiness on SST Usage Motivation, Attitude and Intention (기술 준비도와 소비자 준비도가 Self Service Technology 사용동기와 태도 및 사용의도에 미치는 영향)

  • Shim, Hyeon Sook;Han, Sang Lin
    • Asia Marketing Journal
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    • v.14 no.1
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    • pp.25-51
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    • 2012
  • Researches about the relationship between SST(Self Service Technology) and TRI(Technology Readiness Index) have been carried out after TRI was developed by Parasuraman and his colleagues(2000). We hypothesize Consumer Readiness can also influence consumer's motivation, attitude, and intent to use SST. Currently, there has been no research on this subject. In this study, we investigated the relationship between TR, Consumer Readiness and SST Core Attitudinal Model which Dabholkar & Bagozzi(1994) proposed. The researchers also investigated moderating effects of consumer traits and situational factors to verify the acceptance of such forms of service delivery by all kinds of consumers and under different situational contexts. Self consciousness, the need for interaction with an employee, and the technology anxiety were used as consumer trait variables. Perceived waiting time and perceived crowding were used as situational variables. 380 questionnaires were distributed to a sample group of people in their 20's and 30's, and the data were analyzed with structural equation model using AMOS 18.0 program. All of Cronbach's alpha values representing reliabilities were satisfactory. The values of Composite Reliability(CR) and Average Variance Extracted(AVE) also showed the above criteria, thus providing evidence of convergent validity. To confirm discriminant validity among the constructs, confirmatory factor analysis and correlations among all the variables were examined. The results were satisfactory. The results of this study are summarized as follows. 1. Optimism and innovativeness of TR partially influenced the motivation to use SST. People who tend to be optimistic use SST because of ease of use and fun. The innovative however, usually use SST due to its performance. However, consumer readiness of role clarity, ability and self-efficacy influence all the components of motivation to use SST, ease of use, performance and fun. The relative effect of consumer readiness on the motivation to use SST was much stronger and more significant than that of TR. No other previous studies have examined the effects of Consumer Readiness on SST usage motivation, attitude and intention. It is academically meaningful that the researchers verified that Consumer Readiness is the important precedent construct influencing the self service technology core Attitudinal Model. Our findings suggest that marketers should consider fun and ease of use attributes to promote the use of self service technology. In addition, the SST usage frequency will rise rapidly when role clarity, ability, and self-efficacy which anybody can easily handle SST is assured. If the SST usage rate is increased, waiting times for customers could be decreased. Shorter waiting time could lead to higher customer satisfaction. It may also result in making a long-term profit owing to the reduced number of employees. Thus, presentation of using SST by employees or videos showing how to use it will promote the usage attitude and intent. 2. In SST core attitudinal model, performance and fun factors among SST usage motivation affected attitudes of using SST. The attitude of using SST highly influenced intent to use SST. This result is consistent with previous researches that dealt with the relationship between motivation, attitude and intention. Expectation of using SST could result in good performance just like the effect of ordering menu to service employees and to have fun since fun during its use could promote more SST usage rate. 3. In the relationship among motivation, attitude and intent in SST core attitudinal model, the moderating effect of consumer traits(self-consciousness, need for interaction with service employees and technology anxiety) and situational factors(perceived crowding and perceived waiting time) were tested. The results also supported the hypothesized moderating effects except perceived crowding. The highly self-conscious tended to form attitudes to use SST because of its fun compared to those who were less self-conscious because of its performance. People who had a high need for interaction with service employees tended to use SST for its performance. This result indicates that if ordering results are assured, SST is easily accessible to even consumers who have a high need for interaction with a service employee. When SST is easy to use, attitudes strengthen intent among people who had a high level of anxiety of technology. People who had low technology anxiety formed attitudes to use SST because of its performance. Service firms must ensure their self service technology is designed to be easy to use for those who have a high level of technology anxiety. Shorter perceived waiting times strengthened the attitude to use self service technology because of its fun. If the fun aspect is assured, people willing to use self service technology even perceive waiting time to be shorter than it actually is. Greater perceived waiting times form higher level of intent to use self service technology than those of shorter perceived waiting times. This implies that people view self service technology as a faster alternative to ordering service employees. The fun aspect of self service technology will attract a higher rate of usage for self service technology. 4. It has been proven that ease of use, performance and fun aspects are very important factors in motivation to form attitudes and intent to use self service technology regardless of the amount of perceived waiting time, self-consciousness, need for interaction with service employees, and technology anxiety. Service firms must consider these motivation aspects(ease of use, performance and fun)strongly in their promotion to use self service technology. Ease of use, assuring absolute performance compared to interaction with service employees', and adding a fun aspect will positively strengthen consumers' attitudes and intent to use self service technology. Summarizing the moderating effects, fun is the most valuable factor triggering SST usage attitude and intention. Therefore, designing self service technology to be fun will be the key to its success. This study focused on the touch screen self service technology in fast food restaurant. Although it has its limits due to the fact that it is hard to generalize the results to any other self service technology, the conceptual framework of this study can be applied to future research of any other service site.

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Diagnosticity of Product Names and Product Evaluations in M-Shopping

  • Lee, Eun-Jung
    • International Journal of Advanced Culture Technology
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    • v.8 no.3
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    • pp.148-158
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    • 2020
  • With the limited product information available in the m-shopping context, product-naming strategies affect consumer choices by expressing the key product features or the brand's images. Given the increasing dominance of the mobile commerce in consumption across various product categories, few studies have examined the role of product naming in consumer choices in the m-shopping. In filling the research gap, this study empirically analyzes the influence of the perceived diagnosticity of product names in m-shopping on consumer attitude towards the product. Moreover, the study tests the moderating influences of the individual characteristics of consumers (i.e., age, gender, and m-shopping experience) in the dynamics of the perceived diagnosticity impacting the product evaluations. The results of the study using an online survey reveal that the perceived diagnosticity of the product names significantly increases consumer attitude towards the product. Additionally, the moderating effects of gender, age, and m-shopping experience are all found significant: (1) The positive influence of the perceived diagnosticity of the product names is greater for males than for females. (2) The older the respondent, the more statistically significant the positive influence on diagnosticity. (3) The more respondents having m-shopping experience, the more positive the impact of the diagnosticity. Implications and limitations of the study are discussed.

An Empirical Investigation into the Factors Influencing Shopping Mall Selection Decisions in the Cyber Shopping Environment (사이버 쇼핑 환경에서 소비자의 쇼핑몰 선택에 영향을 미치는 요인에 관한 연구)

  • Kim, Jong-Uk
    • The Journal of Information Systems
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    • v.14 no.1
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    • pp.171-195
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    • 2005
  • The current study investigates major factors which influence the consumer's selection of internet shopping malls. Based on the technology acceptance model(TAM)(Davis, 1989) and trust theory(McKnight & Chervany, 2001), consumer selection factors from marketing research(Burke, 1997;Dodds et al, 2001), perceived usefulness, perceived ease of use, trust, service quality, and product price were hypothesized as to affect the consumer's decision to choose one's specific internet shopping malls. The study developed a research model to explain the shopping mall selection and collected the survey responses from 312 internet shopping mall users. The results of the current research indicate that all the research variables employed in the study, perceived usefulness, perceived ease of use, trust, service quality, and product price, are found to significantly influence the consumer's shopping mall selection decision. Among the influencing factors, price, service quality, and trust showed a greater effect on the shopping mall selection than usefulness and ease of use. This result implies that purchase-related variables such as price and service quality may be more critical to attracting customers and thereby raising the sales volume of the shopping mall, than the web site's usefulness and ease of use.

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A study on the market-based fisheries resource management for the sustainable fishery (지속적 어업을 위한 시장기반 수산자원관리 연구)

  • Kim, Jin-Yeong;Zhang, Chang-Ik
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.46 no.4
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    • pp.416-429
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    • 2010
  • The market-based fisheries resources management system was reviewed and the improvement scheme was studied for seeking the sustainability of marine ecosystems and their fisheries resources. A demand-side policy is currently emerging to the management of fisheries resources by reducing over-exploitation, based on the consumer's selection. The role of consumers in the sustainable fishery was studied by comparing the social responsibility and consumer's activity between Korea and foreign countries and international NGO groups, based on the FAO guideline. The adoption of the Marine Stewardship Council (MSC)'s eco-labelling certificate was suggested by expanding the existing environment-friendly certification system in Korea. This new system will contribute to the protection of young immature fish and spawners in coastal and offshore fisheries as well as to the international trade of seafood in terms of fish products from well-managed fisheries. It is noted that the consumer's activities in the markets as regulators will contribute to the ecosystem health and sustainability.

Application of a Hybrid System of Probabilistic Neural Networks and Artificial Bee Colony Algorithm for Prediction of Brand Share in the Market

  • Shahrabi, Jamal;Khameneh, Sara Mottaghi
    • Industrial Engineering and Management Systems
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    • v.15 no.4
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    • pp.324-334
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    • 2016
  • Manufacturers and retailers are interested in how prices, promotions, discounts and other marketing variables can influence the sales and shares of the products that they produce or sell. Therefore, many models have been developed to predict the brand share. Since the customer choice models are usually used to predict the market share, here we use hybrid model of Probabilistic Neural Network and Artificial Bee colony Algorithm (PNN-ABC) that we have introduced to model consumer choice to predict brand share. The evaluation process is carried out using the same data set that we have used for modeling individual consumer choices in a retail coffee market. Then, to show good performance of this model we compare it with Artificial Neural Network with one hidden layer, Artificial Neural Network with two hidden layer, Artificial Neural Network trained with genetic algorithms (ANN-GA), and Probabilistic Neural Network. The evaluated results show that the offered model is outperforms better than other previous models, so it can be use as an effective tool for modeling consumer choice and predicting market share.