scholarly journals Assessing the Determinants of Millennials’ Online Protective Behavior: How Their Protection Motivation Translates into Actual Use Behavior

Author(s):  
Ana S. Medeiros ◽  
Luis F. Martinez ◽  
Luisa M. Martinez
2018 ◽  
Vol 67 (5) ◽  
pp. 231-240 ◽  
Author(s):  
Babak Moeini ◽  
Elahe Ezati ◽  
Majid Barati ◽  
Forouzan Rezapur-Shahkolai ◽  
Naser Mohammad Gholi Mezerji ◽  
...  

Farmers are among the most common work groups at risk of skin cancer. The protection motivation theory has been widely accepted as a framework for predicting health related behaviors. This study was conducted to determine the role of factors preventing skin cancer among farmers in Eslamabad-e Gharb district, Iran, using the protection motivation theory. In this descriptive study, 280 farmers living in this district were studied from May to June 2017. Using cluster random sampling methods, health houses where farmers received health care were selected. Each farmer within the selected health house was then enrolled into the study using simple random sampling. Data were collected by interview using an author-developed questionnaire. The questionnaire ascertained demographic information and constructs of the protection motivation theory. Almost half of the farmers had a history of sunburn (56.4%). With regard to prevention, a small proportion reported using sunscreen (8.6%), hats (3.2%), gloves 3.9%, sunglasses 4.6%, and protective clothing 15.4%. The results of regression analyses showed that with one unit of increase in the scores of self-efficacy to adopt prevention behavior and perceived protection motivation resulted in an increase in the mean score of the “protective” behavior by 0.26 and 0.20, respectively. Working conditions among farmers place them at great risk and skin cancer prevention is essential. Intervention and prevention programs should fully identify the determinants of skin cancer prevention in farmers; in addition, the identified effective factors must be taken into account when designing and implementing appropriate interventions.


2018 ◽  
Vol 28 (2) ◽  
pp. 374-392 ◽  
Author(s):  
Yi Wu ◽  
Tingru Cui ◽  
Na Liu ◽  
Yimeng Deng ◽  
Junpeng Guo

Purpose Drawn from the social playfulness literature and the elaboration likelihood model, the purpose of this paper is to propose and test a research model to examine users’ continuous participation in SNS game applications. Design/methodology/approach A field survey with 133 subjects was conducted to test the research model. Findings Two identified design features, symbolic physicality and inherent sociability, are found to influence users’ perceived curiosity and perceived enjoyment toward playing SNS game applications. Perceived enjoyment is significantly associated with perceived curiosity and predicts users’ continuous participation of SNS game applications. The authors also observed a gender difference of social playfulness design on perceived curiosity. Research limitations/implications Use intention was used as a proxy for actual use behavior, since objective data on continuance behavior was not available. Additionally, the contributions of this study may be constrained by one single sample. Practical implications The findings of the study suggest practical guidelines for designing game applications in SNS through socialization design and symbolic physicality. Further, based on the findings of gender differences, a personalization game design strategy is provided. Originality/value The study contributes to the post-adoption IS literature and sheds light on the interesting area of social media participation. Additionally, this study enriches the online gaming research by demonstrating gender differences.


2018 ◽  
Vol 36 (7) ◽  
pp. 1386-1413 ◽  
Author(s):  
Maya F. Farah ◽  
Muhammad Junaid Shahid Hasni ◽  
Abbas Khan Abbas

Purpose The purpose of this paper is to study the important factors which help explain consumer intention and use behavior in mobile banking (m-banking) adoption. All constructs of the unified theory of acceptance and use of technology 2 are studied. Non-monetary value is studied through perceived value. Trust and perceived risk are also included to predict intention. Design/methodology/approach A questionnaire was utilized to evaluate customer responses on a five-point Likert scale. A convenience sampling technique was used to collect data from a sample of 490 respondents in Pakistan. The data were analyzed using AMOS and SPSS for Cronbach’s α, CR, CMV, AVE, Harmon’s single factor test, correlation and structural equation modeling. Findings The results of the study show that most of the predictors of intention, including perceived value, performance expectancy, habit, social influence, effort expectancy, hedonic motivation (except for facilitating condition), perceived risk and trust, are significant. All predictors of usage behavior are significant. Research limitations/implications A cross-sectional study was conducted due to time constraints. Practical implications Bank managers must focus on improving customers’ intentions to use m-banking as well as on providing facilitating conditions to increase its actual use. To boost mobile banking, banks’ management must consider the customers’ habits while designing their m-banking products. Originality/value The findings of this paper are not only interesting in terms of boosting m-banking diffusion rate, but also in terms of financial inclusion of the vast majority of mobile users. Further the impact of intention, facilitating condition and habit were checked on actual use behavior since people tend not always to act upon their intentions.


2019 ◽  
pp. 026666691989555
Author(s):  
Mohammad Tariqul Islam ◽  
Muhammad Tahir Abbas Khan

Despite widespread adoption of crowdfunding for funding social donation projects, its adoption among start-up entrepreneurs is significantly low, in developing countries in particular. Research has been performed to investigate the crowdfunding adoption intention of start-up entrepreneurs in Bangladesh. This study aimed to identify the motivation behind the intentions of the entrepreneurs to adopt crowdfunding, using the Unified Theory of Acceptance and Use of Technology (UTAUT) model with extensions. Empirical data were collected from 317 respondents and analyzed using Partial Least Squares-based Structural Equation Modeling (PLS-SEM). The results indicate that performance expectancy, effort expectancy, social influence, facilitating conditions and perceived trust mpact significantly ion the entrepreneurs’ behavioral intention to adopt crowdfunding. In contrast, trialability and perceived trust were not found to be significant determinants. However, trialability has a significant positive relation with use behavior or actual use, whereas no significant relationship has been identified between behavioral intention and use behavior.


Author(s):  
Karma McKelvey ◽  
Shivani Mathur Gaiha ◽  
Kevin L. Delucchi ◽  
Bonnie Halpern-Felsher

AbstractHealth behavior theorists and prevention researchers use a variety of measures of adolescent and young adult (AYA) risk and benefit perceptions to predict tobacco-use and marijuana-use behaviors. However, studies have not examined whether and how perception measures that ask about likelihood of more general outcomes such as “harm” versus ask about specific risk or benefit outcomes compare or whether they differentially predict AYA willingness to use if one of your best friends were to offer it and intentions to use in the next year; and if these measures have differential ability to predict actual use of tobacco and marijuana. We used data from a prospective cohort of California AYAs to create and test new scales to measure perceptions of specific health and social outcomes related to risks (e.g., smell bad) and benefits (e.g., look cool) related to tobacco and marijuana, and then addressed three questions: (1) Whether and how measures of perceptions of specific social and health risks and benefits (for our purposes “specific measures”) and measures of perceived general harm are differentially associated with measures of willingness, social norms, and intentions to use? (2) Are specific versus general measures differentially associated with and predictive of tobacco and cannabis use behavior? (3) Are specific perceptions measures differentially predictive of behavior compared to measures of willingness, social norms, and behavioral intentions? Our results demonstrate that to better predict AYA tobacco and marijuana use, measures that address general outcomes, such as harmfulness, as well as willingness and behavioral intention should be used. We also found that measures of specific perceived risks (short-term, long-term, social) and benefits were unrelated and correlated differently with different products. For example, adolescents perceived both risks and benefits from using products like e-cigarettes, and perceived greater risk from smokeless tobacco compared to combustible cigarettes. These findings indicate that measures of specific perceived social and health outcomes can be useful to discern nuanced differences in motivation for using different substances. Study implications are important for survey dimension-reduction and assessing relationships among perceptions, motivations, and use of tobacco and marijuana products.


2021 ◽  
Vol 13 (12) ◽  
pp. 6666
Author(s):  
Sirkka Schukat ◽  
Heinke Heise

Innovative technologies in the context of smart farming are expected to play a significant role in the adaptation of the agricultural sector to climate change and sustainable agriculture. However, the adoption of smart farming solutions, in this case so-called smart products, depends indispensably on the acceptance of farmers. For this reason, it is important to develop an understanding of what determinants are decisive for farmers in the adoption of these technologies. In order to address this research gap, farmers in Germany were surveyed via a large-scale online survey in 2020 (n = 523). Based on an extended version of the Unified Theory of Acceptance and Use of Technology, a Partial Least Squares (PLS) analysis was performed. The results indicate that hedonic motivation significantly influences farmers’ behavioral intention to use smart products. In addition, behavioral intention is affected by social determinants and the personal performance expectations of smart products. Trust, as well as facilitating conditions, also has an impact on behavioral intention. Furthermore, facilitating conditions are an important determinant of the actual use behavior. In addition, use behavior is influenced by behavioral intention. It was further found that technology readiness plays a significant role in the adoption of smart products. Moderating effects of age, work experience, and farm size were identified that influence farmers’ willingness to use smart products. The study holds important managerial implications for technology companies in the field of smart farming and can help develop approaches for tailored technical solutions that meet farmers’ needs.


2021 ◽  
Vol 34 (2) ◽  
pp. 43-62
Author(s):  
Alaa M. Momani

User acceptance and satisfaction are important factors when evaluating any technology. This paper investigates the key determinants that drive the adoption of social commerce within the Jordanian community. A modification to the Theory Of Acceptance And Use Of Technology was empirically validated by applying a quantitative survey questionnaire. Several statistical techniques were utilized to examine the modified model. The modified model showed that performance expectancy, effort expectancy, social influence, and enjoyment expectancy are significant influencers of behavioral intentions. Facilitating conditions and behavioral intentions also significantly influence the actual use behavior of social commerce by the Jordanian community sampled. The results indicated that the four proposed moderating variables affect the relation between the expectancy variables and the behavioral variables.


Author(s):  
Md Rakibul Hoque ◽  
Adnan Mustafa Al Bar ◽  
Md. Jahangir Alam

This chapter aimed to determine the factors of e-health accepting behavior among the physicians of developing countries. A cross-sectional survey questionnaire method was used for collecting data of this study. To analyze the data the study used structural equation modeling (SEM) with the partial least square (PLS) approach. The findings suggested that performance expectancy, effort expectancy, social influence, and personal innovativeness had a significant impact on the behavioral intention to use e-health and also the behavioral intention had a significant impact on the actual use behavior of e-health of the physicians. Facilitating conditions had neither a significant impact on behavioral intention nor the actual use behavior of e-health of the physicians. The findings of this study would facilitate the degree of more acceptance of e-health technologies by the physicians for their own betterment and a new chapter of knowledge in the research area.


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