The Factors Affecting the Passengers’ Avoidance to Use the Mobile Applications of Airlines

Modern industry improves anthropogenic activities and greatly simplifies human effort and the industrial world. Cloud computing and mobile applications are more than just buzzwords; they are crucial elements of how business is conducted and how it will be conducted in the future. A rising number of SMEs are currently utilizing mobile and cloud computing technology. The purpose of this paper is to analyze the linkages between user reviews and ratings and the adoption of mobile accounting apps among SMEs in Kenya. The study collected data on 35 commonly used mobile accounting applications and performed a regression analysis on 27 apps that had received user reviews. Data on mobile apps' usage rate, volume of user reviews, and user ratings were gathered for this study. The authors also took note of the deficiencies identified by the selected mobile app reviewers. This study's findings revealed a significant relationship between the number of user evaluations and the adoption of mobile accounting apps. However, a significant effect of user reviews on the adoption of mobile accounting apps was not observed. This paper also identifies shortcomings that app users have pointed out in their reviews. It was concluded that Kenya's degree of mobile app adoption has greatly increased due to the volume of app reviews. This study advises entrepreneurs, particularly those who engage with SMEs, to embrace technology and adopt freely downloadable mobile apps for their accounting and bookkeeping requirements.

Recently, mobile apps are rapidly emerging as an important information instrument, with the potential to boost convenience and efficiency in everyday life. The adoption of mobile apps can exert a positive influence on individuals, but also lead to adverse perceptions in different ways. The crucial issue arising is what motivates people’s discontinued use of such services. Furthermore, the roles of communication overload and privacy invasion between network externalities and discontinued use intentions have not been thoroughly examined. The primary objective of this article is to investigate if negative network externalities may result in privacy invasion, communication overload and discontinued intentions, and how the underlying mechanism operates. This current research collected and evaluated data from 696 mobile app users utilizing the structural equation model (SEM) technique. The findings demonstrate that perceived critical mass and perceived complementarity positively affect the privacy invasion of mobile app users. Particularly, it was discovered that privacy invasion and communication overload mediate the association between network externalities and mobile app discontinued use intentions. This article may not only enrich the ongoing contemporary critical discussion on new information technology usage, but also offer significant theoretical and practical implications for mobile app researchers and practitioners.

Motivating Effective Mobile App Adoptions: Evidence from a Large-Scale Randomized Field Experiment

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.

Mobile travel apps are essential tools in trip planning; they provide local insights and recommendation on destinations. Smart tourism features the extensive use of information and communication technology (ICT) which is a new evolution of old-style tourism and e-tourism, emphasised on two approaches: augmented reality (AR) and big data (BD). Several tourism studies have discussed the positive and negative impacts of adopting smart mobile travel apps in the tourism industry. Different factors may affect the app's adoption and acceptance of new technology. However, the level of adoption of smart mobile travel apps depends on the traveller's characteristics as each generation has different characteristics in the adaptability of smart technology. Therefore, this research model is based on the integration of the DeLone and McLean IS success (IS) model and consumer acceptance and use of information technology (UTAUT2) model to determine the factors influencing behavioural intention to use mobile travel apps for smart tourism among Generations X, Y, and Z.

Technological advancement in form of mobile applications (apps) has created diverse opportunities for virtually all human endeavour and professionals like librarians to provide services and carry out specific functions with ease. Nevertheless, observations and empirical studies have shown that the use of mobile apps among some librarians seems to be low. Imaginably, this observation may not be unconnected with perceived attitude and self-efficacy displayed towards mobile apps which could have effect on how they are put to use by librarians. So, the study examined perceived attitude and self-efficacy as predictors of librarians’ adoption of mobile apps. The descriptive research design of the correlational type and total enumeration technique which enabled the participation of all the twenty-five (25) librarians in all private universities in Oyo State, Nigeria were used for the study. Descriptive and inferential statistics were used in analysing the reseach questions and hypotheses. Results show that communication apps, such as internet browsing and email 64%( x = 3.64) and multimedia apps, including graphics and presentation viewers 48%( x =3.44) were highly accessible and used among others. Findings show that; accessing current news updates 56%( x =3.56), document delivery services and financial transactions ( x =3.48) were the most outstanding purposes of adopting mobile apps among librarians. The study further reveals that there was no statistical significant relationship between perceived attitude and adoption of mobile apps by librarians (r=.237, n=25, p(.253)>.05). The study therefore concludes that The high level of adoption of mobile apps among librarians could be predicated upon their high level of self-efficacy even though their attitude had little or no effects. The study therefore recommends that librarians should be encouraged to access more of other categories of mobile apps so as to acquaint themselves with their functionalities and librarians should be encouraged to sustain a high level of adoption as much as current and future information service delivery will require.

PurposeWith the increasing mobile activity of the Generation Z market (born after 1994), marketers’ interest in this social group is rising. This research paper aims to uncover the relatively unknown attitudes and behaviour of the youth market in an emerging market, South Africa, towards branded mobile applications (apps). Previous studies on mobile marketing have focused on Generation X and Generation Y and generally with a quantitative focus.Design/methodology/approachThis study is based on the theoretical framework of the unified theory of acceptance and use of technology model 2. The study used a qualitative framework with stratified focus groups, aged between 18 and 21 years old at a private tertiary institution in South Africa.FindingsThe findings indicate that these South African Gen Z participants mainly used WhatsApp, Instagram, Facebook, Uber and Snapchat. The participants had more positive than negative attitudes towards mobile apps. The findings also showed that privacy was a major concern for the participant’s attitudes and behaviour towards mobile apps. The findings supported the UTAUT2 model, but also discovered new themes. As a recommendation, the issue of privacy and its effect on mobile app adoption is a factor to be researched in the future. The research also provides recommendations for marketers and app developers.Research limitations/implicationsThis study was of a qualitative nature, and thus, the sample size was smaller than that of a quantitative study. Future research could add to this study by increasing the sample size and adding a quantitative method such as surveys.Practical implicationsMarketers of mobile apps targeted towards the Gen Z market should aim to be convenient for their users, as well as be entertaining, functional, time-efficient while avoiding excessive in-app adverts, being honest upfront about their pricing strategy, incorporate an element of connectivity into the app and respect their privacy. This paper also provides practical recommendations for mobile app developers (targeted towards Gen Z users) including minimising notifications and updates within the app, developing a mobile app that requires less usage of data (due to the high expense of data in South Africa for the price-conscious Gen Z market) as well as less usage of memory space on the phone and incorporating universal symbols within the mobile app.Originality/valueThis study supported the UTAUT2 model effects of performance and effort expectancy, social influence, facilitating conditions, hedonic motivation, price value and habit on the behavioural intention of users towards a new technology, i.e. GenZ students’ attitudes and behaviour towards branded mobile apps in South Africa. However, an additional condition was discovered in this study, i.e. privacy and its impact on the attitudes and behaviour of GenZ mobile app users. Therefore, this study extends the UTAUT2 model framework. Furthermore, this study uses a qualitative design, which has not been used in previous studies, with a focus on the under-researched Gen Z market, and in particular in an emerging market, such as South Africa.

Children with communication disorders experience difficulty in one or more areas of articulation and speech, language, fluency, voice and social communication, and they work with speech-language pathologists (SLPs) to improve their communication. With the rise of adoption and use for mobile applications among special education and healthcare service providers, SLPs also have implemented, and for some, contributed to the design of, mobile applications (apps) during clinical practice. However, how these mobile apps are designed and implemented for clinicians to facilitate their clients' communication and learning experiences during therapy remains underinvestigated. This qualitative research study investigates how mobile apps were designed for clinicians to target assessment and intervention goals. Additionally, it focused on how clinicians adopted these apps while integrating therapy techniques to facilitate their clients' learning. Informed by the Research, Practice, and Design for iPad Apps (iRPD) framework and the Consolidated Framework for Implementation Research (CFIR), semi-structured interviews were conducted with 37 licensed pediatric SLPs, including 23 SLPs who have used apps and 14 SLPs who have contributed to the design of their own mobile apps. Two rounds of qualitative coding via template analysis and thematic analysis were then used to analyse client and clinician characteristics, clinical practice, therapy tools, app characteristics, influential factors and app design and use recommendations. Results showed SLPs utilise different genres of assistive, educational and recreational game apps to support children's communication development when working with children who have diverse disorders and therapy needs across different age groups. SLPs who have designed their own apps emphasised the importance of following evidence-based practice, well-researched teaching methods and learning theories. Additionally, multiple financial, sociocultural, political and ethical factors contributed to the design, adoption and implementation of mobile apps during services. By understanding the clinician's app use practices situated in various therapy activities and techniques, we specified a list of design recommendations for app designers who are interested in creating mobile apps for supporting children's speech and language development. By bringing insights from both clinical practitioners as well as those with additional technical design backgrounds, this study contributes to the understanding of clinical practice needs and strategies and will lead to the most optimal app design and adoption practice to support the well-being of children with communication disorders. What is already known on the subject Speech language pathologist (SLPs) implement mobile apps for clients with diverse therapy needs, and their app adoption and use are influenced by multifaceted factors. Although prior studies have reported SLPs' mobile app use, additional information is still needed. For example, the research literature does not include how specific technology is used during therapy practice, or specific details about challenges and needs in implementing and utilising the technology. Additional research also needs to include influential factors (e.g., financial, sociocultural, political, ethical) that are considered when selecting, implementing, assessing and designing an app. The lack of research in these areas directly affects the understanding of clinical mobile technology practices and further hinders clinicians' abilities to advocate for better clinical and design decisions towards identifying and implementing effective mobile apps that facilitate children's communication. What this study adds to existing knowledge This qualitative study is the first known empirical research that interviewed pediatric speech-language pathologists who have used and designed mobile apps for children who receive speech-language therapy across different clinical settings. By investigating experiences from clinician stakeholders to illustrate a holistic overview of app design and development to deployment, this study reported finding on (1) how clinicians use mobile apps to help children to participate in different therapy activities, and (2) a list of recommended design and development guidelines that informs the design and use of mobile apps that best support and motivate children to engage in therapy. What are the potential or actual clinical implications of this work? This study disseminates clinician-reported practices of app design and use with pediatric clients across different speech-language disorders, and identifies gaps and needs for clinicians and researchers who are interested in understanding the role of mobile technology in relationship to human communication and interaction. Additionally, the paper demonstrates that SLPs have instrumental roles rather than passive users in influencing the design and implementation of different genres of mobile apps through evidence-based clinical practice, and call for partnerships across clinicians, special educators and technologists to support children's communication development.

Mobile banking apps have become increasingly popular in recent years, providing customers with a convenient and secure way to manage their finances. These apps have transformed the way we conduct financial transactions and have revolutionized the banking industry. However, despite the widespread adoption of mobile banking apps, there is still a significant gap in our understanding of the factors that influence customers' acceptance of these apps. This systematic literature review aims to provide a comprehensive overview of the current state of research in this area based on app atmospherics, personality factors, and technology acceptance behaviour. The review analysed 40 papers published between 2019 to 2023 to synthesize the evidence and identify key factors that influence the adoption and intention to use mobile banking apps. One of the key findings of the review is that app atmospherics, including the visual design, functionality, and interactivity of mobile banking apps, significantly influence customers' technology acceptance behaviour. Customers are more likely to adopt mobile banking apps that are visually appealing, user-friendly, and interactive. Additionally, technology acceptance behaviour, such as perceived usefulness, perceived ease of use, and perceived trustworthiness, also plays a crucial role in shaping customers' attitudes towards mobile banking apps. The review also identified personality factors such as emotions and attitudes that significantly influence the adoption and intention to use mobile banking apps. Customers who are open to change, innovative, and willing to take risks are more likely to adopt mobile banking apps than those who are not. Additionally, customer demographics, cultural differences, and technological advancements were identified as key factors that affect the adoption of mobile banking apps. Banks and financial institutions must keep up with technological advancements to stay ahead of the competition and provide customers with the latest and most innovative technologies. This study has identified the key research gaps and suggest a theoretical framework for future research agenda.

General trends indicate an increase in the adoption and use of mobile shopping applications (apps) as well as shopping online. However, the trend seems not to be similar with township millennials in an emerging economy such as South Africa. Township millennial consumers seemingly prefer going in-store to buy products than via available mobile shopping apps. This novel study explored the reasons for resistance by township millennial customers to the adoption and use of mobile shopping apps during the COVID-19 pandemic to purchase products. The applicable and adopted research design for this study was explorative. A qualitative research approach was adopted and data was collected using online interviews. A sample size of ten township millennial consumers from four (Tembisa, Soweto, Katlehong, and Diepkloof) townships in South Africa participated in the interview process. Thematic analysis was used to analyse the collected data and determine the findings of the study. The main findings indicated that participants perceived some concerns related to security and privacy in using retail mobile shopping apps. There was a lack of knowledge and awareness regarding mobile shopping apps and how they function which further resulted in the resistance of usage. Township millennial consumers are stuck with the habit of buying in-store and cost is another factor that was highlighted as a cause for resistance, as they do not want to pay for delivery fees and hidden costs that arise from using retail mobile apps. The paper further provides valuable contributions, limitations and future study avenues. This study addressed the dearth in research about resistance factors in using advanced technology in townships. The findings provided insights into what mobile app shopping retailers should address to attract the adoption of app technologies and could mitigate further spread of future pandemics such as that of COVID-19.

Research background: With growing evidence of consumer adoption of mobile shopping apps, there is a pivotal need for comprehending Internet-enabled consumer devices in mobile shopping behavior. Mobile shopping platform features and user technological readiness configure consumers? expectations and demands as regards mobile retailing adoption, leading to acceptance of mobile shopping apps and payment services. Purpose of the article: In this research, prior findings have been cumulated indicating that mobile social apps extend throughout consumer attitudes and behaviors by the widespread adoption of smartphones. We contribute to the literature by showing that cutting-edge technological developments associated with customer behavior in relation to mobile commerce apps have resulted in the rise of data-driven systems. Consumer behavioral intention and adoption intention in relation to mobile shopping apps/websites are developed on perceived risk and trust consequences. Methods: Throughout February and March 2021, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was carried out, with search terms comprising ?mobile shopping app?, ?mobile commerce platform?, ?mobile payment service?, ?Internet-enabled consumer device?, ?consumer technological adoption?, and ?mobile shopping behavior?. As research published between 2018 and 2021 was analyzed, only 330 sources met the suitability criteria. By removing questionable or indeterminate findings (insubstantial/inconsequent data), results unconfirmed by replication, too imprecise content, or having quite similar titles, 66, chiefly empirical, sources were selected. A systematic review of recently published literature was carried out on technological adoption of mobile commerce apps by employing Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. The Systematic Review Data Repository was used, a software program for the gathering, handling, and analysis of data for the systematic review. The quality of the academic articles was determined by harnessing the Mixed Method Appraisal Tool. Findings & value added: The consumer purchase decision?making process in mobile app-based marketing involves consumer engagement and willingness to adopt mobile commerce apps. Further advancements should clarify how technological-based consumer adoption of mobile shopping throughout social commerce can improve the payment for products and services.

BackgroundUsing digital health technologies to aid individuals in managing chronic diseases offers a promising solution to overcome health service barriers such as access and affordability. However, their effectiveness depends on adoption and sustained use, influenced by user preferences.ObjectivesThis study quantifies the preferences of individuals with chronic heart disease (CHD) for features of a mobile health app to self-navigate their disease condition.MethodsWe conducted an unlabeled web-based choice survey among adults older than 18 years with CHD living in Australia, recruited via a web-based survey platform. Four app attributes—ease of navigation, monitoring of blood pressure and heart rhythm, health education, and symptom diary maintenance—were systematically chosen through a multistage process. This process involved a literature review, stakeholder interviews, and expert panel discussions. Participants chose a preferred mobile app out of 3 alternatives: app A, app B, or neither. A D-optimal design was developed using Ngene software, informed by Bayesian priors derived from pilot survey data. Latent class model analysis was conducted using Nlogit software (Econometric Software, Inc). We also estimated attribute importance and anticipated adoption rates for 3 app versions.ResultsOur sample included 302 participants with a mean age of 50.5 (SD 18.2) years. Latent class model identified 2 classes. Older respondents with education beyond high school, prior experience with mobile health apps, and a positive perception of app usefulness were more likely to be in class 1 (257/303, 85%) than in class 2 (45/303, 15%). Class 1 membership preferred adopting a mobile app (app A: β coefficient 0.74, 95% uncertainty interval (UI) 0.41-1.06; app B: β coefficient 0.53, 95% UI 0.22-0.85). Participants favored apps providing postmonitoring recommendations (β coefficient 1.45, 95% UI 1.26-1.64), tailored health education (β coefficient 0.50, 95% UI 0.36-0.64), and unrestricted symptom diary entry (β coefficient 0.58, 95% UI 0.41-0.76). Class 2 showed no preference for app adoption (app A: β coefficient −1.18, 95% UI −2.36 to 0.006; app B: β coefficient −0.78, 95% UI −1.99 to 0.42) or any specific attribute levels. Vital sign monitoring was the most influential attribute among the 4. Scenario analysis revealed an 84% probability of app adoption with basic features, rising to 92% when app features aligned with respondents’ preferences.ConclusionsThe study’s findings suggest that designing preference-informed mobile health apps could significantly enhance adoption rates and engagement among individuals with CHD, potentially leading to improved clinical outcomes. Adoption rates were notably higher when app attributes included easy navigation, vital sign monitoring, feedback provision, personalized health education, and flexible data entry for symptom diary maintenance. Future research to explore factors influencing app adoption among different groups of patients is warranted.

BackgroundDifferent kinds of mobile apps are used to promote communications between patients and doctors. Studies have investigated patients’ mobile app adoption behavior; however, they offer limited insights into doctors’ personal preferences among a variety of choices of mobile apps.ObjectiveThis study aimed to investigate the nuanced adoption behaviors among doctors in China, which has a robust adoption of mobile apps in health care, and to explore the constraints influencing their selection of specific mobile apps. This paper addressed 3 research questions: (1) Which doctors opt to adopt mobile apps to communicate with patients? (2) What types of mobile apps do they choose? (3) To what degree do they exercise personal choice in adopting specific mobile apps?MethodsWe used thematic content analysis of qualitative data gathered from semistructured interviews with 11 doctors in Hangzhou, which has been recognized for its advanced adoption of mobile technology in social services, including health care services. The selection of participants was purposive, encompassing diverse departments and hospitals.ResultsIn total, 5 themes emerged from the data analysis. First, the interviewees had a variety of options for communicating with patients via mobile apps, with the predominant ones being social networking apps (eg, WeChat) and medical platforms (eg, Haodf). Second, all interviewees used WeChat to facilitate communication with patients, although their willingness to share personal accounts varied (they are more likely to share with trusty intermediaries). Third, fewer than half of the doctors adopted medical platforms, and they were all from tertiary hospitals. Fourth, the preferences for in-person, WeChat, or medical platform communication reflected the interviewees’ perceptions of different patient cohorts. Lastly, the selection of a particular kind of mobile app was significantly influenced by the doctors’ affiliation with hospitals, driven by their professional obligations to fulfill multiple tasks assigned by the hospitals or the necessity of maintaining social connections with their colleagues.ConclusionsOur findings contribute to a nuanced understanding of doctors’ adoption behavior regarding specific types of mobile apps for patient communication, instead of addressing such adoption behavior of a wide range of mobile apps as equal. Their choices of a particular kind of app were positioned within a social context where health care policies (eg, limited funding for public hospitals, dominance of public health care institutions, and absence of robust referral systems) and traditional culture (eg, trust based on social connections) largely shape their behavioral patterns.

Depression is the leading cause of disability worldwide and is one of the most common mental health issues being addressed within primary care settings. Mobile apps, which can be used to help people manage their depressive symptoms, are rapidly developing. However, many challenges exist for clinicians and providers to simply select an appropriate app for use within target populations. The objectives of this article are as follows: (1) to describe the search processes that were used to identify depression-related mobile apps and (2) to describe the review process that was implemented to inform and evaluate the identified depression-related mobile health apps for use with our target population. A research team consisting of information technology researchers, primary and psychiatric care providers, and health care researchers completed two mobile app searches to identify depression-related apps which could be used for further exploration within an underserved integrated primary care setting. Sixteen mobile apps were narrowed down to 4 mobile apps, through a series of steps involving screening, collaboration of the interprofessional team, information technology expertise input, and mobile app evaluation tools. This article described the steps a research team used to search, screen, and assess mental health mobile apps for integrated primary care patients with depression. This step-by-step guide focused on depression-related apps; however, similar steps and principles identified in this guide can be applied to other health apps.

PurposeThe purpose of this paper is to validate the consumer styles inventory (CSI) scale for understanding the decision-making styles of shopping app users. The validated scales are used to examine the relationship between consumers’ decision-making styles and factors affecting the use of mobile shopping apps.Design/methodology/approachA total of 428 valid responses are collected from the users of the five most popular shopping apps. The mobile shopping apps are selected based on a popularity study. Data are collected from mobile app shoppers through an online survey.FindingsFindings reveal a new set of factors that can be used for understanding use of mobile shopping apps. Decision-making styles influence the adoption of mobile apps for shopping. Factors responsible for the adoption of mobile shopping apps such as usefulness and risk perceptions differ across consumers with different decision-making styles.Practical implicationsThe findings would facilitate online retailers in building focused marketing strategies for segmenting and targeting the consumers having different decision-making styles.Originality/valueThe current research is the first of its kind to examine the applicability of the CSI scale in the context of mobile app shoppers in an emerging economy. The findings enrich the existing literature by providing empirical support to the relationship between decision-making styles and factors affecting adoption of shopping using mobile apps.