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Consumers shopping motives may differ across products/services categories, retail formats and channels. In the context of m-Apps-based commerce, this study aims to explore different shopping motives of consumers in three different categories of app, namely, food delivery, ride sourcing and digital payments. Using motivation literature, the study extends the theory of consumer motives by including sustainability as a key motive to buy in the context of m-App channel. Further, the authors undertake a comparative analysis of the identified motives across the three mobile applications (m-Apps).

The research methodology involved two stages (qualitative research followed by quantitative research). In qualitative research, personal interview was conducted to extract items for survey questionnaire development. Subsequently, quantitative analysis was carried out. The data were subjected to exploratory factor analysis and confirmatory factor analysis (CFA). The study sample comprised 201 young Indian managers.

Using principal component analysis and CFA, the study validates the existence of different motivations in the three categories of m-Apps considered. Transaction-oriented and sustainability-oriented motivation is found to be a major motive to use m-Apps for food delivery, ride sourcing and mobile payments. Additionally, in digital wallet applications for mobile payments, consumers exhibit innovation-oriented motivation. Value-oriented motivation was identified as a motive in food delivery apps.

The scale developed and the comparative study done extended the theoretical conversation on young consumer motives in the context of m-Apps channel and extended it by including sustainability motive, which needs further in-depth study.

This is one of the first studies to explore sustainability motives in the context of m-Apps channel.

Drawing on the mSERVQUAL model and spillover theory, this study aims to examine the mechanism through which food-ordering mobile app service quality influences users’ mobile app satisfaction, food satisfaction and repurchase intentions.

Online surveys were completed by 1,000 customers who used a food-ordering mobile app to order fast food on the day they completed the online survey. Structural equation modelling was then used to examine the proposed mechanism.

Results showed that the effects of food-ordering mobile app service quality on customer satisfaction (i.e. mobile app satisfaction and food satisfaction) and repurchase intention varied widely across service quality dimensions. Mobile app service quality had significant spillover effects on food satisfaction and repurchase intention.

Online food-delivery platforms should find the results insightful to better design their food-ordering mobile app. The findings can also assist restaurateurs and mobile payment companies with supporting the whole online food delivery process.

Rather than examining online food delivery service quality based on the service delivery process in the during-consumption stage or the service outcomes in the post-consumption stage, this study focused on the service quality in the pre-consumption stage to highlight the important role of online food delivery mobile apps. From a longitudinal perspective, this study drew on the associate network theory to explain the spillover effect of mobile app satisfaction in the pre-consumption stage on food satisfaction in the during-consumption stage and repurchase intention in the post-consumption stage.

This study aims to use the novel approach of applying the behavioural reasoning theory (BRT) to understand the relative influence of reason for and reason against the adoption of mobile learning applications (M-learning apps) among information technology (IT) and information technology enabled services (ITeS) employees.

This study surveys 680 employees of IT and ITeS companies in India to examine the adoption of M-learning apps for learning using the BRT and the primary data analysis was done using the partial least squares-structural equation modelling technique.

It is found that the context-specific adoption factors for M-learning apps are hedonic motivation, self-efficacy, learning autonomy, ubiquitous and relative advantage, whereas the reasons against adoption of the M-learning apps are traditional barrier, usage barrier and image barrier. It is also found that values of openness to change positively affect the reasons for adoption and do not significantly affect reasons against adoption of M-learning. Values of openness to change affect the attitude towards M-learning apps and attitude affects the adoption intention of M-learning apps for learning.

This cross-sectional study was conducted only in the Indian IT/ITeS firms and future research can be conducted in other sectors and countries to generalize the results.

This research uniquely highlights the adoption factors both for and against, which should be considered while developing marketing strategies for M-learning apps’ adoption. It is imperative for training managers to consider these factors during the selection of M-learning apps and for designers while designing the M-learning apps.

This study provides new insights towards the use of mobile apps for learning with the employees’ perspective using the BRT theory and it highlights the reason for adoption and reason against adoption of M-learning apps.

Whilst some may argue that e‐commerce design literature can be applied to the designing of mobile commerce channels, it is an assumption that may come at the expense of the retailer. The purpose of this paper is to identify which marketing design elements could be integrated within a retailer's mobile strategy and suggest the importance of empirical testing. An academic or practitioner must primarily understand the abundance of marketing tools that can be integrated into a mobile strategy before they can begin to investigate the consumer effects.

A literature review of online and mobile design elements is undertaken, in order to develop and illustrate a holistic framework of stimuli for commercial and academic appreciation. Although literature regarding the variety of marketing design elements online is profuse, a holistic framework currently does not exist, an absence that this paper fulfils.

The paper collates and identifies 18 individual marketing design stimuli classified within four stimulus categories relating to their purpose and form.

Literature concerning e‐commerce design and strategy is currently prevalent; however, due to the immaturity of mobile commerce, literature is deficient concerning the strategic design and implications of mobile applications. Although £68.2 billion was spent online in 2011, mobile commerce sales represented less than 5 per cent, highlighting an immediate requirement for research into how such sales could be improved.

The purpose of this paper is to extend the unified theory of acceptance and use of technology with psychological constructs, namely, perceived playfulness, mobile innovativeness in information technology and perceived expressiveness (PEX) to examine on the consumers’ intention to adopt mobile applications (m-apps) as another mean in purchasing tourism-related product and services via their mobile devices. The study also included gender as moderating variable.

Partial least square-structural equation modeling approach was adopted to test the research framework using 474 valid respondents.

The results demonstrated that only performance expectancy and PEX are non-significant with the intention to adopt. In addition, gender was found to have a moderating effect between social influence and intention.

The study has several useful implications for researchers, m-apps developers, travel-related organizations and even government agencies when rendering m-apps services and disseminating information to their potential consumers.

The study contributes to the growing literature on m-apps in tourism from a developing country’s perspectives.

The purpose of this study is to integrate wayfinding strategies and open innovation to examine the factors of mobile application (M-App) design.

The study formulated an M-App model from the wayfinding sense-making and open innovation perspective. Samples were collected from the M-Apps users of Airbnb.com in a survey based on the principle of snowball sampling, and 416 samples were returned in total. The hypothesis testing of the model was conducted using structural equation modeling with Linear Structural Relations.

The operators of the lodging industry should design the recommended route on the M-Apps for tourists to reach the accommodation on the map function conveniently.

The orientation of wayfinding sense-making integrates the accommodation host to mark the direction of the accommodation on the map function of M-Apps to indicate the direction of the location.

The operators of the lodging industry should design the recommended route on the M-Apps for tourists to conveniently reach the accommodation on the map function.

For the M-Apps designer of the lodging industry, devising the function with an arrow point on the map would enable tourists to check their current location handily. Moreover, the M-Apps of lodging businesses can reduce marketing expenses from the high recommendations of tourists.

The primary purpose of this study was to examine the underlying consumer values that drive hotel booking mobile app users to engage more with the app and use the app continuously for hotel booking purposes.

By conducting confirmatory factor analysis (CFA) and structural equation modeling (SEM) on the data collected through the Qualtrics online survey platform from 506 respondents in the United States, the proposed measurements and structural models were tested.

The findings for both Generation Xers and Millennials revealed that hedonic and social values influenced mobile app engagement, which strongly influenced mobile app loyalty. Thus, to enhance customer engagement and indirectly influence mobile app loyalty, the app value delivery should appeal to social and hedonic values. Although the utilitarian values for using apps had a potential direct impact on mobile app loyalty, the mediation analysis showed that mobile app engagement, when connecting consumption values to mobile app loyalty, served as a full mediator for Generation Xers and a partial mediator for Millennials.

This study provides insights into how hotels and online travel agent (OTA) marketing managers may consider augmenting user engagement with hotel booking mobile apps. This study suggests that hoteliers and OTAs should further develop their user experience efforts to enhance the utilitarian features of their mobile app to increase revenue from repeat purchases. Additionally, this study provides implications for enhancing the hedonic and social features of hotel booking mobile apps to appeal to Millennials and Gen Xers.

This study developed and assessed an integrated model to investigate the relationships between consumption values, engagement and loyalty in hotel booking mobile apps. Furthermore, it examined generational cohorts' role in the relationships between these constructs.

This study aims to empirically investigate ways to enhance customers’ continued mobile app use intention on the basis of information adoption model.

This study conducted an online, cross-sectional, self-administered survey, recruiting mobile app users in the USA.

Results identified both argument quality and source credibility positively influenced usefulness of branded apps and parasocial interactions. Results also confirmed a positive influence on usefulness of the branded app and parasocial interaction relating to continued branded app use intentions.

This study enriched the understanding of mobile app use behaviors, extending information adoption model in the service industry.

The purpose of this paper is to investigate the determinants of behavioural intention and use behaviour towards social networking apps. Exogenous latent constructs, namely, performance expectancy, effort expectancy and social influence are the key antecedents proposed based on the unified theory of acceptance and use of technology to predict the usage intention and behaviour of social networking apps (i.e. endogenous latent constructs). Experience as a moderator is the extended construct to explain social networking apps user’s behavioural intention.

To target young generation (Millennial), a cross-sectional data collection approach was conducted to collect data from the social networking apps users (i.e. Facebook, WhatsApp, WeChat, Twitter, Instagram, YouTube, Snapchat and others) whereby a total of 384 valid questionnaires were obtained from six universities in Malaysia. Statistical analysis using partial least squares path modelling approach and a variance-based structural equation modelling (VB-SEM) techniques is performed to analyse the measurement and structural relationship.

The findings indicate that performance expectancy, effort expectancy and social influence determine behavioural intention, and behavioural intention impacts social networking apps use behaviour. Moreover, the moderation analysis reveals that the relationship between effort expectancy and behavioural intention is moderated by experience, whereas the relationship between social influence and behavioural intention is not moderated by experience.

While the surge of social networking apps has gained tremendous popularity among Millennial as an attractive market segment, previous studies mainly have focussed on intention and behaviour of online users in general. Despite apps and related technologies which have opened a new era of effective communications in marketing, social networking apps usage intention and behaviour focussing on Millennial is not well understood in the current literature. This study contributes and sheds lights on the current issue of social networking apps usage intention and behaviour and looks into a key rising market segment, the Millennial users.

The purpose of this paper is to examine (a)symmetric features of task-technology-performance characteristics that are most relevant to fit, satisfaction and continuance intention of using apps in mobile banking transactions.

Exploratory factor analysis was used with maximum likelihood extraction and Varimax rotation on a separate sample of 183 mobile banking apps users prior to the main data collection. The theoretical model was tested applying a factor-based structural equation modelling approach to a sample of 250 experienced mobile banking apps users.

The study unveiled that the task and performance characteristics are more relevant compared to technology characteristics when doing transactions via apps. In addition, the findings uncovered that user satisfaction and continuous intention to use apps stem from the degree of fit in online transactions. The findings of moderation analysis highlighted that users in the lower income group are more concerned about the performance characteristics of banking apps, and there are no differences across age and gender groups. Surprisingly, technology characteristic has a nonlinear nature and this study shows potential boundary conditions of technology characteristics in degree of fit, user satisfaction and continuance intention to use apps.

Findings from the conditional probabilistic queries reveal that with 83.3 per cent of probability, user satisfaction is high when using apps for banking transactions, if the levels of fit, task, performance and technology characteristics are high. Furthermore, with 72 per cent of probability, continuance intention to use apps is high, if the levels of performance and task characteristics are high.

Contributing to task-technology fit theory, this study shows that performance characteristics need to be aligned with task and technology characteristics in order to have better fit when using apps for online banking transactions.