Exploring the Adoption of Sports Brand Apps

Abstract

The purpose of this article was to apply the modified technology acceptance model (TAM) to examine factors influencing consumers' intention and actual behavior in using sports brand apps. Convenience sampling was conducted for Korean consumers (N = 261) of sports brand apps. Data were analyzed by partial least squares structural equation modeling (PLS-SEM) using SmartPLS 3.0. The results found that the level of enjoyment had a significantly positive effect on the perceived ease of use, while perceived ease of use also positively affected perceived usefulness. Behavioral intention to use sports brand apps was most significantly influenced by perceived enjoyment, followed by perceived usefulness, and then perceived ease of use. Moreover, behavioral intention positively affected actual behavior. In addition, a multi-group analysis carried out found differences between three age groups (20s, 30s, and 40+) regarding the use of sports brand apps. The findings provide a better understanding of consumer behavior when using sports brand apps.

The Intention to Use Fitness and Physical Activity Apps: A Systematic Review

“…To test quality, risk of bias analysis of the 19 studies evaluated in the research showed that only three studies had a high score of 15 points or more out of 20 total [1,45,51], most studies (n = 14) had a mean score between 10 and 15 points and only two studies had a score below 10 points [52,53]. It should be noted that none of the studies analyzed carried out a calculation of the sampling required for the generalization of the results, which could be due to the fact that all the studies carried out a selection of the sample for convenience within a certain population.…”

“…Analyzing the sample used in the different studies, there is a total of 16,025 subjects with an average sample of 843.42 subjects per study, with the Ndayizigamiye; Kante, and Shingwenyana study [54] having the smallest sample (n = 139) and Wei, Vinnikova, Lu and Xu study [55] having the largest sample with a total of 8840 subjects. Approximately a half of the studies (n = 8) used university students as a sample, followed by studies that considered users of sports applications (n = 4) and other studies took as their general population [54][55][56], a population of sports consumers [45], employees of a sports organization [57] and members of a fitness community [44,58]. Most studies had a higher proportion of females than males (n = 9), followed by studies that had parity in the sample (n = 5), four studies had a higher proportion of males while one study did not indicate the gender distribution of the sample [34].…”

“…About half of the studies (n = 10) expressed age using a range, five studies showed age using mean (M = 24.58 years) and two studies did not specify the age [55,59]. The analysis indicated that mainly the study population are young subjects between 20 and 29 years old and all are over 18 years old except Lee, Kim and Wang [45] which also included 17-year-old subjects. Li, Liu, Ma and Zhang [46] sampled subjects over 25 years of age, while Huang and Ren [60] and Mohammadi and Isanejad [57] were at least 30 years old.…”

“…Based on these models and theories, in recent years researchers have paid attention to the intention to use new technologies in different contexts such as e-payment, e-government, e-banking, retail or education [32][33][34][35][36]. Similarly, in academic sports literature there is also an increasing attention to the behavior of fans and consumers, with studies with different approaches such as motivation on sports websites [31], loyalty [37], participation, commitment and attributes [38,39], marketing opportunities [40], intention to use sports wearable [41], consumption of Smartphones and sports Apps [42], sports team Apps [1], fitness Apps [43,44] and sports products [45,46].…”

Investigating the nexus between Mobile Apps Adoption and Privacy Concerns among Users: An Empirical Analysis from Ghana

“…Mobile Apps are pervasive lately and have permeated every aspect of our lives as a result of the proliferation of Smartphones which has made it easier for the development of these Apps (Statista, 2016). The Vodafone Group (2015, p. 211) and Byun et al (2018) defined Mobile Apps as software programs "designed to run on smartphones or tablet devices and provide a convenient means for the user to perform certain tasks". Also, Hoehle and Venkatesh (2015) in conceptualizing a Mobile Apps refers to it as "an IT software artifact that is specifically developed for mobile operating systems installed on handheld devices, such as smartphones or tablet computers".…”