본 연구는 최근 들어 사용이 꾸준히 증가하고 있는 스마트폰 다이어트/운동 앱에 주목하면서, 채널확장이론 (channel expansion theory)과 기술수용모델 (technology acceptance model)에 기반하여, 세 가지 선행요인-인터넷 정보이용 효능감, 스마트폰 이용 효능감, 그리고 인터넷 정보에 대한 신뢰도 -이 다이어트/운동 앱에 대한 태도 및 수용의도에 미치는 영향에 대해 분석했다. 경로분석 결과에 따르면, 인터넷 정보이용 효능감과 스마트폰 이용 효능감은 다이어트/운동 앱에 대한 인지된 사용 용이성 (PEOU)에 정적인 영향을 미치고, 인터넷 정보에 대한 신뢰도는 해당 앱에 대한 인지된 유용성 (PU)에 정적인 영향을 미치는 것으로 나타났다. 이에 더해, 인터넷 정보이용 효능감과 인터넷 정보에 대한 신뢰도가 다이어트/운동 앱에 대한 인지된 유용성에 미치는 영향은 성별에 따라 유의미한 차이를 보였다.
본 연구는 최근 들어 사용이 꾸준히 증가하고 있는 스마트폰 다이어트/운동 앱에 주목하면서, 채널확장이론 (channel expansion theory)과 기술수용모델 (technology acceptance model)에 기반하여, 세 가지 선행요인-인터넷 정보이용 효능감, 스마트폰 이용 효능감, 그리고 인터넷 정보에 대한 신뢰도 -이 다이어트/운동 앱에 대한 태도 및 수용의도에 미치는 영향에 대해 분석했다. 경로분석 결과에 따르면, 인터넷 정보이용 효능감과 스마트폰 이용 효능감은 다이어트/운동 앱에 대한 인지된 사용 용이성 (PEOU)에 정적인 영향을 미치고, 인터넷 정보에 대한 신뢰도는 해당 앱에 대한 인지된 유용성 (PU)에 정적인 영향을 미치는 것으로 나타났다. 이에 더해, 인터넷 정보이용 효능감과 인터넷 정보에 대한 신뢰도가 다이어트/운동 앱에 대한 인지된 유용성에 미치는 영향은 성별에 따라 유의미한 차이를 보였다.
This study paid attention to the notable increase of the use of diet/exercise apps on smartphones. Based on channel expansion theory and technology acceptance model (TAM), this study investigated how three predictors-Internet information use efficacy, Internet information credibility, smartphone use...
This study paid attention to the notable increase of the use of diet/exercise apps on smartphones. Based on channel expansion theory and technology acceptance model (TAM), this study investigated how three predictors-Internet information use efficacy, Internet information credibility, smartphone use efficacy-affected one's attitude toward and intention to use diet/exercise apps. Results from a path analysis indicated that Internet information use efficacy and smartphone use efficacy positively predict the perceived ease of use of diet/exercise apps. Internet information credibility positively predicts the perceived usefulness of such apps. Moreover, there were gender differences in the effects of both Internet information use efficacy and Internet information credibility on the perceived usefulness of diet/exercise apps.
This study paid attention to the notable increase of the use of diet/exercise apps on smartphones. Based on channel expansion theory and technology acceptance model (TAM), this study investigated how three predictors-Internet information use efficacy, Internet information credibility, smartphone use efficacy-affected one's attitude toward and intention to use diet/exercise apps. Results from a path analysis indicated that Internet information use efficacy and smartphone use efficacy positively predict the perceived ease of use of diet/exercise apps. Internet information credibility positively predicts the perceived usefulness of such apps. Moreover, there were gender differences in the effects of both Internet information use efficacy and Internet information credibility on the perceived usefulness of diet/exercise apps.
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문제 정의
This implies that when a user is familiar with seeking diet/exercise information through the Internet and judges higher credibility of such information, s/he may show more positive attitudes toward diet/exercise apps. Consequently, this present study paid attention to Internet information use efficacy as well as Internet information credibility.
Particularly, as a person can use smartphones more effectively in general, s/he may show more positive attitudes toward diet/exercise apps. Thus, this study analyzed the effect of smartphone use efficacy on attitudes toward diet/exercise apps. Secondly, the main function of diet/exercise apps is to search for information about diet and exercise, and this information-seeking is reliant on Internet searches.
가설 설정
Thirdly, in order to measure Internet information credibility (IIFFC), this study used four items. Examples are: 1) Diet/exercise information on the Internet is accurate; and 2) Diet/exercise information on the web is credible. This study obtained an acceptable reliability score for IIFFC (α = .
First, based on the scale of measuring Internet health information use efficacy, proposed by Yun and Park [20] this study newly developed nine items to measure smartphone use efficacy (SPUE). Two examples of the items are: 1) I know how to use smartphones in effective ways; and 2) I believe that I can use smartphones well. The reliability for this variable was acceptable (α = .
RQ1. How will the effects of the three predictors on PU and PEOU of diet/exercise apps differ by gender?
제안 방법
In order to test the proposed hypotheses, this study conducted a path analysis as a specific form of structural equation modeling (SEM). AMOS 21 was used for this analysis, and the same three model fit indices were used to check the goodness-of-fit of the proposed model.
Second, as elaborated above, this study proposed the positive effects of three predictors on the PU of diet/exercise apps on smartphones. Results from the path analysis showed that only Internet information credibility positively predicted the PU of diet/exercise apps (β = .
Therefore, based on channel expansion theory and technology acceptance model (TAM), this present study aimed at examining the effects of three factors―smartphone use efficacy, Internet information use efficacy, and Internet information credibility―on individuals’ intentions to adopt diet/exercise apps.
대상 데이터
For this study, an online survey was distributed to students from three universities located in either the city of Seoul or the Gangwon-do province, Korea. In total, 277 usable surveys were collected and used for analysis.
데이터처리
To validate the three predictors, a confirmatory factor analysis (CFA) was used. For more rigorous evaluation, three model fit indices were checked.
이론/모형
In order to test the proposed hypotheses, this study conducted a path analysis as a specific form of structural equation modeling (SEM). AMOS 21 was used for this analysis, and the same three model fit indices were used to check the goodness-of-fit of the proposed model. Results from the path analysis supported the goodness-of-fit of the proposed model (χ2 = 6.
성능/효과
This present study investigated the effects of three predictors’―Internet information use efficacy, Internet information credibility, and smartphone use efficacy―on individuals’ attitudes toward diet/exercise apps and intentions to use them. According to SEM results, while Internet information use efficacy and smartphone use efficacy positively and significantly influenced the PEOU of diet/exercise apps on smartphones, Internet information credibility significantly affected the PU of those apps.
Both PEOU and BI of diet/exercise apps showed acceptable reliability scores (PEOU: α = .91, M =3.63, SD = .69; BI: α = .93, M = 2.66, SD = .90).
First, related to the PEOU of diet/exercise apps, Internet information use efficacy (β = .23, p < .001) and smartphone use efficacy (β = .31, p < .001) positively predicted the PEOU of diet/exercise apps.
Results from the path analysis showed that while PU strongly and positively affected BI to use diet/exercise apps (β = .80, p < .001), PEOU weakly and negatively predicted the same outcome variable (β = -.13, p = .09).
The analysis returned acceptable model fit indices for the three factor model, confirming the validity of the three variables (χ2 (df = 32) = 72.9, CFI = .99, IFI = .99, SRMR = .03).
This study obtained an acceptable reliability score for IIFFC (α = .88, M = 2.94, SD = .62).
후속연구
Thus, further analysis of generational differences in adopting diet/exercise apps is recommendable. Next, more control variables need to be considered for more thorough investigation. For instance, the extent to which a person is interested in diet/exercise may influence the adoption of diet/fitness apps.
Therefore, future research needs to obtain more representative samples. Second, future research will need to collect data from an elder population, because of the increasing use of smartphones among older people. Thus, further analysis of generational differences in adopting diet/exercise apps is recommendable.
Therefore, this study’s findings can serve as empirical evidence for future research that will further analyze more various motivational factors that determine individuals’ adoption and use of diet/exercise apps.
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