Identifying the Ideal Types of Online Shoppers

Kettunen, Eeva; Kemppainen, Tiina; Lievonen, Matias; Makkonen, Markus; Frank, Lauri; Kari, Tuomas

doi:10.4018/ijesma.2020040104

Cited by 5 publications

(3 citation statements)

References 49 publications

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“…Users were also given the option to select "Other" and enter their own app name. Those apps were selected from a pretest where participants were asked to identify popular branded apps that they had used, with the goal of including utilitarian, hedonic and social apps, thus reflecting various computing motivations (Kettunen et al, 2020). Participants were then asked to choose from the list one app that they used recently.…”

Section: Research Instrumentmentioning

confidence: 99%

The Effects of Task Service Fit on Brand Loyalty

Tran

Furner

Gugenishvili

2021

International Journal of E-Services and Mobile Applications

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Motivated by the role that branded apps play in enhancing customer perceptions of brands, this paper is developed to provide a better understanding of the extent to which task-service fit associated with branded apps influences brand attitudes. The primary research objective is to determine how perceptions of task-service fit associated with branded apps enhances branded app experience and to explore brand co-creation and ultimately brand loyalty. Using data from 573 branded app users we were able to identify the following relationships: Perceptions of task-service fit and o-creation were found to influence brand loyalty. Also, task-service fit and randed app experience influenced co-creation. Finally, results also confirm that branded app experience and brand co-creation are mediators of the relationship between task-service fit and brand loyalty.

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Section: Research Instrumentmentioning

confidence: 99%

The Effects of Task Service Fit on Brand Loyalty

Tran

Furner

Gugenishvili

2021

International Journal of E-Services and Mobile Applications

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“…These are "digital technologies that can be used to support different aspects of wellness" (Kari et al, 2021) and comprise various kinds of devices, applications, and services. The use of these technologies for various wellness-related purposes has become common among different user groups with varying PA levels (Kettunen et al, 2017). Their use for PA, health, and social purposes has become more attractive also for older adults (Farivar et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Physical Activity Tracker Application in Promoting Physical Activity Behavior among Older Adults: A 24-month Follow-Up Study

Kari

Makkonen

Carlsson³

2022

J Aging Health

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Objectives To investigate whether and how PA tracker application use supports PA behavior among older adults during the first 24 months of use. Methods: The changes in PA levels (i.e., time spent in different PA intensities) and between PA categories (i.e., low, moderate, or high based on total PA) were examined between three different time points: before taking the application into use (t0), after 12 months of use (t1), and after 24 months of use (t2). The data was collected by using the International Physical Activity Questionnaire modified for the elderly (IPAQ-E). Results: A statistically significant increase was observed in walking (χ2 (2) = 29.741, p < .001), moderate PA (χ2 (2) = 6.327, p = .042), and total PA levels (χ2 (2) = 11.489, p = .003). The increase was observed between t0 and t1 as well as between t0 and t2. The overall changes between PA categories were statistically significant between t0 and t1 (χ2 (3) = 15.789, p = .001) as well as between t0 and t2 (χ2 (3) = 14.745, p = .002). There were more increasingly active (moved to a higher PA category) than decreasingly active (moved to a lower PA category) participants. Discussion: Overall, the results indicate that PA tracker application use can promote PA behavior among older adults. Stakeholders that work with PA programs and PA promotion, as well as individual users, can utilize digital wellness technologies in supporting PA promotion, especially in exceptional times, like the COVID-19 pandemic, when health care restrictions prevent general gatherings.

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“…These have been found very promising in terms of promoting the levels of physical activity not only among young people but also among elderly people [8]- [12], although more high-quality studies especially on their long-term effects are still called for. In addition to elderly people in general, their potential has been highlighted particularly in the more specific segment of young elderly [13]- [23], which consists of people aged approximately 60-75 years.…”

Section: Introductionmentioning

confidence: 99%

Changes in the Use Intention of Digital Wellness Technologies and Its Antecedents Over Time: The Use of Physical Activity Logger Applications Among Young Elderly in Finland

Makkonen¹,

Kari²,

Frank³

2021

Proceedings of the Annual Hawaii International Conference on System Sciences

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Physical inactivity has become a prevalent problem among elderly people. Although digital wellness technologies have been proposed as one promising solution to it, our understanding on the antecedents of the acceptance and use of these technologies among elderly people remains limited. In this study, our objective is to promote this understanding by examining the potential changes in the use intention of digital wellness technologies and its antecedents over time in the case of the young elderly segment and physical activity logger applications. We base this examination theoretically on UTAUT2 and empirically on survey data that is collected from 99 Finnish young elderly users of a physical activity logger application and analysed with partial least squares structural equation modelling (PLS-SEM). We find the scores of both use intention and most of its antecedents to decline over time as well as some changes in the effects of the antecedents on use intention.

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Identifying the Ideal Types of Online Shoppers

Cited by 5 publications

References 49 publications

The Effects of Task Service Fit on Brand Loyalty

The Effects of Task Service Fit on Brand Loyalty

Physical Activity Tracker Application in Promoting Physical Activity Behavior among Older Adults: A 24-month Follow-Up Study

Changes in the Use Intention of Digital Wellness Technologies and Its Antecedents Over Time: The Use of Physical Activity Logger Applications Among Young Elderly in Finland

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