Adoption Of Mobile Apps Research Articles

Factors Associated With the Adoption of Health Apps

The study identifies the influencing factors in adoption of mobile health apps in the context of the emerging economies, specifically India. Suitable constructs from the theoretical models have been incorporated in the proposed framework for identification of the factors. A sample of 948 respondents across diverse demographic profiles including students, working professionals (government and private both), self-employed, and retired persons was surveyed for the study. Previous studies on the adoption of mobile health in the context of emerging economies was not found in the literature. The model tested is also unique and provides distinctive understanding of factors influencing behavioural intention and subsequent adoption of mobile health apps. The study established the factors that significantly influence the mobile health app adoption, which provides valuable insights to technology professionals, specifically the marketers of mobile health apps in the emerging economies.

Can technology readiness predict farmers’ adoption intention of the e-AgriFinance app?

PurposeThis research aims to examine the effect of the two dimensions of technology readiness – motivator and inhibitor on behavioural intention to adopt a mobile agricultural finance app called e-AgriFinance app among the farmers in Sarawak, Malaysia.Design/methodology/approachData were collected from 337 farmers who cultivated the 4 major crops in Sarawak – oil palm, rubber, cocoa and pepper using a face-to-face questionnaire survey. Collected data were analysed using partial least squares structural equation modelling with R plspm package.FindingsThe research found that both motivator and inhibitor dimensions of technology readiness predicted the farmers’ behavioural intention to adopt the e-AgriFinance app, with the former had a relatively stronger positive effect and the latter had a relatively weaker negative effect.Research limitations/implicationsThis research was conducted in the context of rural farmers in an emerging economy. As such, modern farmers in developed countries may have different adoption behaviour of mobile agricultural finance app. The data were collected from farmers of the four major crops – oil palm, rubber, cocoa and pepper, and thus it may not be representative of the whole population of farmers in Sarawak.Originality/valueThis research served as one of the few studies that focused on the relationship between technology readiness and mobile app adoption among farmers from the perspective of an emerging economy.

Role of mobile food-ordering applications in developing restaurants’ brand satisfaction and loyalty in the pandemic period

Retailers and their supply-chain partners should reconsider their competitive advantages in today's technology-enhanced environment and search for opportunities to collaborate. Mobile applications have emerged as a special form of e-commerce that provide convenience for consumers by saving time and effort. In the pandemic days, people prefer using mobile applications in particular to order food from restaurants and protect themselves from COVID-19. Even though there are many previous studies regarding mobile application usage, they have investigated the antecedents of mobile app adoption. Today, consumers already have adopted them, yet there is a need to understand the outcomes of mobile application usage, especially for mobile food-ordering apps (MFOAs). To fill this gap, this study first positions the MFOAs among other mobile food applications regarding their business models. Then, a structural model was developed and tested by focusing on the outcomes of MFOA usage. A survey of 217 participants was conducted, and the data were analyzed using partial least squares path modeling (PLS-PM). The main contribution of the results is the finding that MFOA satisfaction plays a critical role in developing restaurants' brand satisfaction and loyalty. Thus, brands should cooperate with MFOA providers.

Social network factors affecting adoption of Mobile app by farmers

Effect of social network on adoption of Mobile app was studied in Nashik and Sangli districts of Maharashtra, India by interviewing 800 grape growers during 2016-17. Individual characteristics like income, landholding, caste, area under grapes and number of smartphones were significant factors determining the adoption of mobile app. In social network factors, village adoption rate, membership, education, landholding and frequency of communication were significant determinants of adoption. Village adoption rate of the technology resembles network behavior. Therefore, both social network characteristics and social network behavior influences the adoption decision of farmers. It shows that adoption is not just mimicking by the farmers, but it is a social learning process. The results emanating from the study provide insights to extension agents to devise strategy for introduction of any technology/ICT in agriculture. The way out to implement the strategy is to use extension methods that focus on social learning like Farmers Field Schools; target the farmers having more education, landholdings and who frequently interact with the large number of farmers to facilitate and enhance the adoption of new technology/ICT.

Benefits of Mobile Contact Tracing on COVID-19: Tracing Capacity Perspectives.

For effectively suppressing COVID-19's spread, contact tracing has been widely used to identify, isolate, and follow-up with those who have come in close contact with an infected person (or “close contacts”). Traditionally, contact tracers in local health offices interview an infected person to identify visited places (or hotspots) and then check any close contacts. For the accurate recall of travel history, several countries including South Korea corroborate multiple data sources, such as cell location or credit card transactions (1). Beside this traditional approach, various mobile apps were introduced to help improve travel history tracking including automated GPS tracking (e.g., Israel's HaMagen) and manual place QR-code scanning (e.g., New Zealand's NZ COVID Tracer and Korea's KI Pass). Alternatively, mobile apps maintain individuals' “encounter history” (instead of place visit history) by leveraging peer-to-peer wireless beaconing (i.e., self-announcing its presence to nearby devices) with Bluetooth Low Energy (BLE) in smartphones, such as Google-Apple's Exposure Notification and Singapore's BlueTrace and TraceTogether. This encounter history can be used later to judge whether a user had a risky encounter with an infected person. We argue that traditional manual contact tracing can be greatly improved by leveraging the wisdom of crowds. Local community members install mobile apps to self-collect “breadcrumbs” for contact tracing, such as GPS traces, place QR-codes, and wireless encounter histories, which can offer near real-time assessment (2). However, there is a systematic lack of adoption of mobile apps in many countries, and success stories of mobile apps are scarce. This is partly because local health authorities are unsure about the benefits of mobile apps, mostly worrying that a lack of app adoption fails to achieve digital herd immunity (3). We emphasize the importance of adopting contact tracing apps via “contact tracing capacity modeling.” Our model clearly demonstrates that the adoption of contact tracing model apps can potentially increase contact tracing capacity. Furthermore, this capacity increment thanks to crowd participation will greatly help local authorities to better handle confirmed cases in the early or late phases of the pandemics. In the following, we present our approach of contact tracing capacity modeling and its benefits for contact tracing. We then discuss practical challenges related to application adoptions by citizens and health authorities as well as technical implementation issues.

Prototype Development and Usability Evaluation of a Clinical Decision Support Tool for Pharmacogenomic Pharmacy in Practice.

Pharmacogenetics, a subset of precision medicine, provides a way to individualize drug dosages and provide tailored drug therapy to patients. This revolution in prescribing techniques has resulted in a knowledge deficit for many healthcare providers on the proper way to use pharmacogenetics in practice. This research study explored the potential adoption of clinical decision support system mobile apps by clinicians through investigating the initial usability of the PGx prototype application in an effort to address the lack of such tools used in practice. The study method included usage of a clinical decision support system programmed within our pharmacogenomics drug dosage application (called PGx) in a simulated environment. Study participants completed the System Usability Scale survey to report on the perceived usefulness and ease of use of the mobile app. The PGx app has a higher perceived usability than 85% of all products tested, considered very good usability for a product. This general usability rating indicates that the nurse practitioner students find the application to be a clinical decision support system that would be helpful to use in practice.

The Impact of Mobile App Adoption on Cross-buying: The Moderating Roles of Product Category Characteristics and Adoption Timing

With more and more companies introducing mobile apps and consumers using them during the purchase journey, it is increasingly important to understand the consequences of app adoption on behavioral outcomes. This paper investigates the impact of app adoption on the number of additional products purchased by customers (i.e., cross-buying) and how this effect varies across different product categories and different customers. We focus on two key product category characteristics (utilitarian vs. hedonic nature and perceived risk) and on adopters who vary in their adoption timings (early vs. late adopters). Using data from an online retailer and a combination of propensity score weighting with difference-in-differences and Heckman correction estimation techniques, the results show that app adoption has a positive effect on cross-buying overall, but the effect varies greatly across products and consumers. App adoption promotes additional product purchases for hedonic products but leads to less cross-buying for utilitarian products. In addition, early adopters purchase a higher number of additional product categories than late adopters, with this difference decreasing over time and for new consumers compared to existing customers. These results offer novel insights into the behavioral consequences of app adoption and provide managers with useful recommendations for improving the effectiveness of their mobile app investments.

The Dark Side of Mobile App Adoption: Examining the Impact on Customers’ Multichannel Purchase

Firms use mobile applications to engage with customers, provide services, and encourage customer purchase. Conventional wisdom and previous research indicate that apps have a positive effect on customer spending. The authors critically examine this premise in a highly competitive institutional context by estimating how customers’ multichannel spending changes after adopting a hotel group’s app and identifying the factors contributing to such change. Exploiting the variation in customers’ timing of app adoption and using a difference-in-differences approach, the authors find that the effect of app adoption on customers’ overall spending is significant and negative. Additional analyses suggest the possibility that customers who adopt the focal app also adopt competitor apps and therefore search more and shop around, leading to decreased share of wallet with the focal hotel group. The authors also find that the negative effect on spending is smaller for customers who use the app for mobile check-in service than those who use the app for only searching, highlighting the role of app engagement in mitigating the negative effect.

Mobile App Adoption and Its Differential Impact on Consumer Shopping Behavior

The mobile application (app) market is one of the fastest growing markets in recent years. In this study, we investigate how app adoption changes customers' hotel booking behaviors using a dataset of around 16,000 randomly selected customers' hotel booking and stay information from one of the largest hotel chains in China. Our analyses find that customer purchase frequency and total sales increased after app adoption. Additional investigation shows that 'customers' search behaviors also evolved post-adoption. Specifically, customers tended to book rooms earlier and select options with less discount, which indicates that app users reduced their search intensity after app adoption. We further investigate the differential impact of mobile app adoption on sales, taking into account consumer heterogeneity in price sensitivity and purchase frequency. We find that both price sensitive and insensitive customers increased the number of bookings, and they tended to book earlier post-adoption. Furthermore, price sensitive customers on average booked more expensive rooms with less discount after app adoption, suggesting that these customers likely decreased their search effort. In terms of hotel stay frequency, app adoption increased low-frequency customers' purchase frequency but did not have any significant effect on high-frequency customers. These analyses provide a more nuanced view of how mobile apps change consumer search and purchase behaviors. Our findings have important managerial implications. With a better understanding of customer behaviors, firms can provide incentives to customers who are more likely to be affected by mobile app adoption.

Mobile shopping apps adoption: a systematic literature review

The study aims to contribute by evaluating and synthesising the findings across various strata of populations in developed and developing countries and by unifying the diverse streams of research into a more coherent and cohesive knowledge entity. The theoretical models and determinants of M-shopping apps adoption intentions and behaviours from selected papers in literature are reviewed to synthesise the findings and identify the gaps and contradictions. Recommendations for future research are made as regards to theoretical approaches, research methodology, anchor constructs, consumer profiles to be researched, and technological and marketing perspectives are to be explored. The research findings in literature are limited by exclusive focus on smartphones, selective geographical regions, theoretical models, consume profiles and methodological approaches and hence not generalisable.

Mobile shopping apps adoption: a systematic literature review

The study aims to contribute by evaluating and synthesising the findings across various strata of populations in developed and developing countries and by unifying the diverse streams of research into a more coherent and cohesive knowledge entity. The theoretical models and determinants of M-shopping apps adoption intentions and behaviours from selected papers in literature are reviewed to synthesise the findings and identify the gaps and contradictions. Recommendations for future research are made as regards to theoretical approaches, research methodology, anchor constructs, consumer profiles to be researched, and technological and marketing perspectives are to be explored. The research findings in literature are limited by exclusive focus on smartphones, selective geographical regions, theoretical models, consume profiles and methodological approaches and hence not generalisable.

Adoption of mobile library apps as learning tools in higher education: a tale between Hong Kong and Japan

PurposeThe purpose of this study is to examine students' perception of mobile technology adoption for library service apps as a lens to explore the factors affecting mobile learning in higher education.Design/methodology/approachWith the data collected from university students from Hong Kong and Japan, the authors conducted a comparative study for gaining a better understanding of students' perceptions toward adopting mobile apps as learning tools and other socio-cultural factors affecting such adoption. In particular, the authors derive alternative models from our analysis (benchmarked on technology acceptance model and unified theory of acceptance and use of technology) for a better explanation of the formation of the intentions, and, more importantly, cultural factors would affect such formation, as informed by the Hofstede Cultural Dimensions.FindingsThe findings are valuable for enhancing the effectiveness and adoption of mobile services for teaching and learning purposes in the context of higher education, as the focus of promotion of services should be tailored to the different student expectations in different regions, e.g. mainly performance expectancy in Japan versus in Hong Kong facilitating condition, performance expectancy and perceived usefulness altogether.Originality/valueDefined as contributing to the development of learning assistance, mobile technology for library use and information access have become a significant issue raised in many higher educational institutions over the world, as the characteristics of mobile technology, such as portability and mobility, strengthen its possible use in education. However, scant research has been done in understanding the perception of mobile library use and factors affecting the behavioral intentions through the use of mobile technologies in Hong Kong and most Asian countries have not been sufficiently studied.

A strategy to enhance consumer trust in the adoption of mobile banking applications

Despite the popularity of mobile banking applications among banks and a phenomenal increase in Commercial Bank of Zimbabwe (CBZ) customer base of 206.6% since 2009, uptake of mobile banking applications has remained deplorably low with CBZ Touch mobile application recording a meagre 8% uptake by 2018. This study sought to determine security, trust and other factors that affect the adoption of CBZ Touch banking application; and then establish a strategy to improve uptake of the application among users. Four-hundred structured, five-point Likert scaled, and self-administered questionnaires and five semi-structured interviews were delivered to conveniently sampled CBZ Touch users. A 60% response rate was recorded. Findings indicate that users do not consider security threats and their consequences as highly probable but are much alive to the social influence, usefulness and cost of the mobile banking app. Though customers of CBZ Touch trust the use of mobile banking app, they are not satisfied with the app and are sceptical about the effectiveness of such apps to meet their banking needs. CBZ has to improve the quality of the mobile banking app, market their app to potential users and regularly update customers on pertinent security threats and security mechanisms. This study proposes a strategy to enhance adoption of CBZ Touch mobile banking app.

Self-Image Congruence, Functional Congruence, and Mobile App Intention to Use

Although the research on the technology acceptance model (TAM) has received much attention, limited research has been done on the role of self-image congruence on the mobile application (app) intention to use. Therefore, leveraging the lens of the self-congruence theory, the primary objective of the present research is to examine the impact of self-image and functional congruence on the mobile app intention to use. We conduct a survey and collect 349 responses from Chinese smartphone users. The results of the current research reveal that self-image congruence is positively significantly related to mobile app intention to use. Also, our findings show that symbolic congruence is a vital determinant of the mobile app intention to use among Chinese smartphone users. Overall, the present study extends the understanding of TAM and concludes that symbolic congruence, such as functional attributes, is equally essential for technology intention to use. Moreover, this study extends the TAM and self-congruence theory literature by empirically investigating and validating the conceptual framework. The present study highlights the significance of self-image congruence to understand the user mobile app adoption behavior better. It provides important knowledge for the app developers, researchers, policymakers, and marketing managers of the famous social commerce and popular brand apps.

PP349 Use Of Applications For Mobile Devices In Asthma Control: A Systematic Review Of Literature

IntroductionCell phones and information technology can be allies in the care of chronic diseases. Despite the wide availability of mobile device applications (apps), many offered by industry and providers, questions remain about the real efficacy of these technologies. The objective of this study was to evaluate the efficacy of mobile device apps designed for use by outpatients in treatment for asthma and describe its main characteristics and functionalities.MethodsA systematic review according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol was conducted. MEDLINE and EMBASE were searched for randomized clinical trials (RCTs) evaluating the adoption of mobile apps on Android or iOS systems compared to the usual care, published in the last five years. Asthma control rate was defined as the primary outcome, and visits to emergency departments, hospitalizations and adherence to pharmacological treatment were secondary outcomes.ResultsFour RCTs (n = 415) met the inclusion criteria, two involving children and adults, and two only adults. Methodological quality was low to moderate. Common functionalities were asthma action plans, registration of the usual treatment, symptom diaries and educational alerts. Results were heterogeneous with respect to all outcomes evaluated. Study dropouts and lack of follow-up were frequent.ConclusionsThe clinical utility of mobile apps for asthma was evaluated in a few randomized studies; more data are necessary to establish the value of these technologies for asthma control.

Examining antecedents affecting Indian consumers’ adoption of mobile apps

This research aims to integrate the functional, social, security, and personal dimensions to study mobile app usage antecedents in the Northern Capital Region of India. Convenience sampling was used, and an online survey resulted in 407 valid responses. The measurement and structural models were estimated using PLS-SEM. Perceived usefulness and social influence had no significant impact on usage, implying that contemporary consumers are much more discerning and do not get swayed by the benefits offered or the influence of those around them. The findings show that perceived ease of use had a significant impact on perceived usefulness and attitude formation. Since security is the most important factor determining usage and trust, the industry should have stringent standards to maintain security protocols in every interaction with the user. Also, security concerns need to be allayed, and grievances need to be resolved immediately to gain customer satisfaction and loyalty. Personal innovativeness and lifestyle compatibility are important determinants of attitude and usage. Firms should target mobile apps to students and the active working population who possess innovativeness and for whom mobile apps are compatible with their lifestyle. These users can act as influencers and help in improving their adoption.

Predicting University Students' Adoption of Mobile News Applications

India is amongst the fastest growing markets for smartphones in the world which are driven by a young population. This study seeks to understand the intention to use mobile news applications by students in India. To address this broad objective, an extended technology adoption model has been proposed with the inclusion of news motivation and perceived hedonic value and tested on 384 students at a university in India. Structural equation modeling results reveal that student mobile news app adoption intention is not dependent on the perceived hedonic value; however, this relationship is mediated by attitude. News motivation predicts adoption intention, which indicates that news app adoption is largely seen as utilitarian, this is also proven by the fact that perceived usefulness significantly predicts adoption intention.

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

There has been a proliferation of Mobile Phones Applications commonly referred to as Mobile Apps lately due to the advancement of technology. These Mobile Apps are used for a myriad of tasks ranging from Mobile Commerce (m-commerce), healthcare, learning, social media, among others. However, with this spread of the Mobile Apps comes the issues of privacy concerns. This study, therefore, seeks to investigate why users continue to use the Mobile Apps despite the privacy concerns and what measures they have put in place to mitigate this menace. Through the Antecedents, Privacy, Concerns, and Outcome (APCO) model, the study developed a research model that was hypothesized and evaluated with 316 respondents from a tertiary institution. The data was analyzed through the partial least squares structural equation model (PLS-SEM). The results indicate that whilst antecedent variable Gender influences Privacy Concern, Experience on the other hand does not. Also, Enjoyment, Privacy Risk, and Trust influence Usage Continuance Intention. Also, Application Popularity influences Change Privacy Settings. Again, Privacy Concern influence Privacy Risk but does not influence Trust. Moreover, Enjoyment, Privacy Risk, and Trust do not influence Change Privacy Settings. This study has given the researchers insights as to why users continue to use Mobile Apps despite the Privacy Concerns that have been raised in the literature. Other implications for theory, policy, and practice are also discussed.

To app or not to app: A business-to-business seller's decision

Although business-to-business (B2B) selling firms increasingly realize the benefits of adoption and usage of B2B mobile applications (apps), few studies examine this topic. Building on the technology organization environment and the technology acceptance model adoption frameworks, this research provides an integrative framework to identify and investigate the key determinants of B2B mobile apps for sellers that have not implemented B2B mobile apps for their buyers to use in their decision making. The results from 360 marketing executives at B2B selling firms indicate that perceived usefulness, top management support, and competitive pressure positively influence the decision to adopt B2B mobile apps in the near future. In addition, relative advantage and perceived ease of use indirectly affect adoption of B2B mobile apps through perceived usefulness. The research findings provide several theoretical and managerial implications related to B2B mobile apps adoption.

The prevalence and sociodemographic predictors of mobile health applications ownership among cancer survivors.

e24046 Background: The transition of cancer patients from patients to survivors is challenging. Cancer survivors often experience chronic physical, social and mental health needs which remain largely unmet. Due to the growing population of cancer survivors and limited resources available to address their needs, mobile health applications (apps) have emerged to help cancer patients in assuming their new role as survivors. Here, we explored the prevalence and sociodemographic predictors of mobile health apps ownership among Cancer Survivors in the United States using a nationally representative sample. Methods: Data from cycles 1 (2017) and 2 (2018) of the 5th edition of the Health Information National Trends Survey (HINTS 5) was reviewed. Descriptive statistics was used to evaluate the sociodemographic characteristics and the prevalence of mobile health apps ownership among cancer survivors. Univariate logistic regression models were used to explore the relationship between sociodemographic predictors and mobile health apps ownership. Results: We identified 1,097 (weighted estimate of 44,666,781) individuals who self-reported having been diagnosed with cancer in the . Of these, 57.39% were females, 79% were whites, 47.18% had 2 or more medical comorbidities, 63.7% were unemployed and about 50% were aged 65 or more. Prevalence of mobile health apps ownership was 44.82%. Among all the sociodemographic variables; educational level (p = 0.015), income (p = 0.014) and employment status (p < 0.005) were predictors of mobile health apps ownership among cancer. Conclusions: Cancer survivors are digitally connected and can be approached through mobile health apps. In our study, the prevalence of mobile health apps ownership in cancer survivors was 44.8%. Educational level, income and employment status were identified as predictors of mobile health apps ownership. Due to the growing population of cancer survivors and limited resources available to address their needs, efforts to address barriers of mobile health apps adoption and utilization should be encouraged.