Incorporation of health consciousness into the technology readiness and acceptance model to predict app download and usage intentions

Abstract

Purpose The purpose of this paper is to extend the technology readiness and acceptance model (TRAM) to consider an individual’s health consciousness (HC), thereby improving the capability of the model to predict an individual’s attitude toward and intention to download and use dietary and fitness apps. Design/methodology/approach A total of 994 participants completed a self-reported online questionnaire. Structural equation modeling and χ2 difference testing were conducted to compare the predictive capability of the proposed health consciousness TRAM (HC-TRAM) and the TRAM. The comparison of the proposed HC-TRAM in terms of potential and actual users of dietary and fitness apps was also discussed. Findings The results obtained from the HC-TRAM and the TRAM indicate that in addition to technology readiness, HC exerts a positive effect on the perceived ease of use and usefulness of dietary and fitness apps. χ2 difference test results indicated that the predictive capability of the proposed HC-TRAM is higher than that of the TRAM. Practical implications The drivers and inhibitors of a person’s readiness to embrace modern information technology play roles when predicting his or her intention to download and use dietary and fitness apps. HC should be promoted by encouraging people to eat right and regularly perform appropriate exercise to prevent obesity and overweight, thereby maintaining a healthy lifestyle. Originality/value This study incorporated individual cognitive factors and HC into the TRAM to fill the literature gap and deepen and broaden existing theoretical frameworks of the TRAM in the public health sector.

Determinants of Consumer Intentions to Purchase Energy-Saving Household Products in Pakistan

“…Scholars stress that a person's innovativeness plays an important role in the investigation of consumers' adoption of new technology [76,79]. However, behavioral studies show contradicting results of this relationship [44,80], meaning there is a need to test this relationship. Based on the above discussion, this study proposes the following hypotheses:…”

“…People with higher insecurity have lesser confidence towards adopting such products [78]. While the TR Model proposed by A. Parasuraman & Colby, 2015 [46] comprehensively supports insecurity as an inhibitor towards consumer intentions of adopting new technology, marketing literature is filled with mixed findings [77,78,80]. Therefore, it is important to empirically test whether insecurity negatively influences consumers' attitudes towards the adoption of new technology energy-saving home products or not.…”

Digital Health Literacy and Sport-Physical Activities: The Moderating Role of Age

“…Therefore, our study highlights the importance of socio-demographic characteristics when analysing digital health literacy. Accordingly, in order to improve health literacy among elderly population specific tailored health literacy program should be established that targets only this category of population [32]. In addition, online health providers have to create different interfaces that are suitable for different demographic groups [55].…”

“…Noteworthy, respondents form 28 EU countries are present in the sample, what makes important factors when considering generalisability of the findings. In addition, as argued in [19], [31], [32] research is still lacking regarding the analysis on overall populations, due employing European citizens' digital health literacy data will give us possibility to obtain more general understanding concerning the link between digital health literacy and sport-physical activities.…”

Adoption and non-adoption motivational risk beliefs in the use of mobile services for health promotion

“…In addition to the anytime-anywhere capabilities of cell phones, it seems that the features of wireless text messaging in terms of popularity, low cost, and low intrusiveness are a good explanation for the preference of this service as an individual support. Moreover, commercial offerings of text reminders, in general, have been gaining popularity various parts of the world (Downer, Meara, & Da Costa, 2005), including mobile services for health promotion and management activities (Cole-Lewis & Kershaw, 2010;Chen & Lin, 2018).…”