Analysis of the determinants of consumers' m‐commerce usage activities

M-commerce adoption among youths in Malaysia: Dataset article

The covid-19 pandemic which took the world by storm changed our behaviour towards m-commerce with enforced movement restrictions across the world. This dataset documents the factors of consideration among Malaysian youths (age 15 to 24 years old) in their intention to adopt m-commerce. Collected from October to November 2020, a total of 396 useable responses were finalized. The questionnaire consists of individual demographic variables and factors which influence the intention of youths to adopt m-commerce in Malaysia. The dataset of demographics and m-commerce related variables can be used to further explore the correlations and description of variables. The dataset is valuable for m-commerce service providers and future works of literature in understanding the behaviour of youths and hence increase the adoption rate of m-commerce among youths.

Impact of Digitalization on Customers' Well-Being in the Pandemic Period: Challenges and Opportunities for the Retail Industry

Order increases, supply chain disruptions, changing customer behavior, store closures, and more that have been caused by the coronavirus epidemic (COVID-19) will undoubtedly affect the online commerce forms of business. The coronavirus pandemic has a significant impact on digitalization and customer experience and well-being in mobile commerce. Since the beginning of the coronavirus pandemic, online sales and the number of online shoppers using wireless internet-enabled devices have increased tremendously. The article develops, an experimental study that captures COVID-19 and digital commerce's impact in terms of customers' experience and well-being during the pandemic period. The study explores the synergy between technology evolution and the effects of the COVID-19 pandemic on customers' behavior based on survey data collection and the technology acceptance model (TAM). The results reveal that, for millennials, digital commerce seems to be the typical way of shopping and paying in the pandemic period since the oldest generations adopted in a smaller proportion the use of mobile devices for shopping and payments. Besides, retailers are confronted with great challenges raised by millennials' expectations. The result confirms four of the six hypotheses based on the technology acceptance model (TAM). As a result, it shows that the easiness of use, trust, mobility, and customer involvement influences the behavioral intention of the customer to use mobile commerce, and that usefulness and customization does not influence the behavioral intention.

Modeling Mobile Commerce Applications’ Antecedents of Customer Satisfaction among Millennials: An Extended TAM Perspective

The continued growth for both smartphone usage and mobile applications (apps) innovations has resulted in businesses realizing the potential of this growth in usage. Hence, the study investigates the antecedents of customer satisfaction due the usage of mobile commerce (m-commerce) applications (MCA) by Millennial consumers in South Africa. The conceptual model antecedents were derived from the extended Technology Acceptance Model (TAM). The research made use of self-administered questionnaires to take a cross section of Millennial MCA users in South Africa. The sample comprised of nearly 5500 respondents and the data was analyzed via structural equation and generalized linear modeling. The results revealed that trust, social influence, and innovativeness positively influenced perceived usefulness; perceived enjoyment, mobility, and involvement positively influenced perceived ease of use; and perceived usefulness and perceived ease of use were positive antecedents of customer satisfaction. Several usage and demographic characteristics were also found to have a positive effect on customer satisfaction. It is important for businesses to improve customer experience and satisfaction via MCA to facilitate a positive satisfaction and social influence among young technologically savvy consumers.

Intention to Use Mobile Commerce

With mobile technologies' rapid development involving wireless networks and internet infrastructure, e-commerce has been evolving into a new, more significant phase: mobile commerce. Businesses throughout the world are highly motivated to invest in mobile commerce infrastructure and deploy their mobile commerce strategies as a source of sustainable competitive advantage to maintain existing and attract new customers. As probably the first systematic and comprehensive effort to date, this study analyzes the factors affecting customers' intention to use mobile commerce in Vietnam. The results show that perceived ease of use, perceived usefulness, variety of services, and trialability have both direct and indirect positive (via perceived usefulness) impacts on intention to use mobile commerce, while trust and social influence have indirect positive impacts on intention to use mobile commerce in Vietnam. Cost does not have any impact on intention to use mobile commerce in Vietnam. The results of this study are also compared with that of studies on mobile commerce conducted in China and Malaixia by Chong et al. Theoretical and practical implications, especially for helping businesses understand how to capture more customers in a rapidly developing country, Vietnam, are discussed.

Exploring player behavior and motivations to continue playing Pokémon GO

Purpose

The purpose of this paper is to identify the determinants of players’ continuance intentions to play Pokémon GO (PG) and ultimately make in-app purchases, mainly from the perspectives of psychological, social and gaming motivational factors.

Design/methodology/approach

The research model was empirically assessed based on 362 validated responses from current players of PG in Malaysia. Analysis was carried out using the partial least squares path modeling method.

Findings

The results indicated that enjoyment, network externalities, community involvement and the need-to-collect significantly influence players’ continuance intention. Furthermore, the findings reveal that flow and nostalgia have indirect effects on players’ continuance intention, which in turn significantly influences their purchase intention.

Originality/value

This study provides empirical support for an integrated model for understanding the antecedents of the players’ behavioral intentions that incorporates psychological, social and gaming motivational factors in the context of an augmented reality mobile game.

Are CRM systems ready for AI integration?

Purpose

The purpose of this paper is to develop a conceptual framework to check if an organization is ready to adopt an AI-integrated CRM system. The study also analyzes different situations which can provide a comprehensive check list in the form of indicators that could provide a signal indicating whether the organization is ready to adopt an AI-integrated CRM system by capturing actionable and appropriate data.

Design/methodology/approach

The paper is a general review, and appropriate literature has been used to support the conceptual framework.

Findings

The key findings of this study are the different indicators that make up the conceptual framework. This framework can help organizations to check at a glance whether they are ready to adopt AI-integrated CRM system in their organizations. Specifically, it has been identified that different approaches are needed to tackle various types of customer data so that those may be made fit and actionable for appropriate utilization of AI algorithms to facilitate business success of an organization.

Practical implications

The paper has elaborately discussed the different approaches to be undertaken to calibrate and reorient the various kinds of actionable data and the contemplated challenges one would face in doing so. This would help the practitioners that how the data so captured can be made fit for action and utilization toward application of AI technologies integrated with existing CRM system in an organization.

Originality/value

This study is claimed to be a unique study to provide a conceptual framework which could help arranging and rearranging of captured data by an organization for making the data fit and ready for use with the help of AI technologies. This successful integration of AI with CRM system can help organizations toward taking quick and automated decision-making without much intervention of human beings.

Engaging m-commerce adopters in India

Purpose

The purpose of this paper is to identify the impact of factors derived from the unified theory of user acceptance of technology (performance expectancy, effort expectancy, social influence, facilitating conditions, age, gender) and of those drawn from literature (perceived risk, perceived enjoyment and innovativeness) on the adoption of m-commerce in India. It also suggests implications of these for the consumer behavior theory practitioners and marketers.

Design/methodology/approach

Data were collected using an online survey from 321 respondents, split into two groups (high and low adoption level users) based on the usage scores of the four categories of m-commerce- location-based, transaction-based, entertainment and content delivery. Logistic regression technique was used to identify the prominent factors among the nine identified influencers to understand the differences between the two groups.

Findings

The findings of this paper are sample biasness, self-reported m-commerce adoption level, limited m-commerce categories and specific context.

Research limitations/implications

Except the two factors of performance expectancy and facilitating conditions, all other variables discriminate between low and high adoption levels of m-commerce services in India. Social influence, perceived enjoyment and innovativeness were the three main factors that were found to have the most significant impact on the discrimination levels of m-commerce service users in India. Further, it was found that women and the younger generation users of m-commerce showed a greater propensity for adopting m-commerce practices.

Practical implications

Marketers need to focus on key factors like social influence, perceived enjoyment, perceived risk and effort expectancy to persuade the young and innovative consumer target groups increase their adoption of m-commerce services.

Originality/value

This is the first study of its kind to explore factors that distinguish users with low and high levels of m-commerce adoption, by taking into consideration all four categories of m-commerce (transaction-based, content delivery, location-based and entertainment). In doing so, it highlights the need for marketers to focus on factors beyond facilitating conditions and performance expectancy, to enhance the adoption of m-commerce practices.

Exploring the Impact of Demographic Factors on E-Government Services Adoption

The purpose of this article is to investigate the impact of demographic factors on the adoption of e-government services. Specifically, this article sought to examine the extent to which demographic factors such as age, gender and education would influence the willingness to adopt and use e-government services. The data capture and analysis was done with SPSS. The results indicate that age as a demographic factor was significant in determining the willingness of citizens to use e-government services. The results, however, showed that gender and education as demographic factors were not positively significant in predicting the willingness to use e-government services. The implications of these findings on the adoption and implementation of e-government are further discussed.

Perception of corruption in e-government services post-launch of “Digital India”: role of demographic variables

Purpose

The purpose of this paper is to underline the role of demographic variables as far as the perception of corruption among the Indian respondents is concerned.

Design/methodology/approach

Hierarchical regression analysis is conducted to ascertain the role of demographic variables in line with the study’s objectives.

Findings

Gender is a demographic factor that influences the perception of corruption by the respondents. Other demographic factors including education, marital status, professional status and age do not have any influence on the user perception of corruption in e-government services. Implicitly, there are differences in the manner in which men and women perceive the prevalence of corruption in India. Therefore, males perceive that corruption has decreased in e-government services post-launch of “Digital India” initiative and women perceive the opposite.

Research limitations/implications

On the one hand, the study holds significance, in that no empirical investigation has been conducted which seeks to underline the impact of the “Digital India” initiatives on the citizen’s perception of corruption in public services. On the other hand, the present research is limited in the sense that only demographic variables are being probed in the present study with a small sample.

Originality/value

Studies in developing countries have remained few and far between despite the growing concern for existence of corruption in government services. The present study seeks to fill the gap by underlining the role of demographic variables as far as the perception of corruption in public services is concerned in the Indian context.

Antecedents of customer satisfaction in mobile commerce

Purpose

The purpose of this paper is to determine statistically significant drivers of customer satisfaction in mobile commerce and to test the moderating effects of customization on the relationships between customer satisfaction and its predictors.

Design/methodology/approach

The sample comprised 224 respondents. Confirmatory factor analysis was used to test the validity of the model, and moderated regression analysis was applied to determine main and interaction effects.

Findings

Trust, perceived usefulness, mobility, and perceived enjoyment were found to be significant drivers of customer satisfaction. The results also indicate the statistical significance of two interaction effects: customization moderates the influence of mobility and the influence of trust on customer satisfaction.

Research limitations/implications

The study was conducted in a single time period and in a developing country where m-commerce is still not widely used. Future models should include new variables. Comparison between different age or gender groups would also be useful.

Practical implications

The findings are useful for m-commerce providers who are developing marketing campaigns, where the focus should be on promoting the mobility aspect of m-commerce, in particular its usefulness to consumers and its security. M-commerce activities should be developed and redesigned to better meet consumers’ specific demands and needs.

Originality/value

M-commerce customer satisfaction studies are rare. The developed model has five potential antecedents of satisfaction: trust, social influence, perceived usefulness, mobility, and perceived enjoyment. New insights are provided into the moderating role of customization.

Which platform should I choose? Factors influencing consumers’ channel transfer intention from web-based to mobile library service

Purpose

– With more and more individuals relying on mobile devices to obtain information, many libraries launch mobile application to satisfy mobile users’ information need. The purpose of this paper is to figure out factors influencing consumers’ channel transfer intention of library service from web-based platform to mobile app.

Design/methodology/approach

– A structural equation model is proposed based on categorization theory. In addition, situational contexts are taken into account to make research model more suitable for the real condition. Data collected from 319 samples are used for hypotheses examining.

Findings

– The relationships between source and target (perceived differentiation including function differentiation and resource differentiation) positively affect perceived situation efficiency, which in turn shapes intention to use mobile library application. Perceived mobile library quality positively influences perceived differentiation, perceived situation efficiency and mobile library adoption intention. In summary, perceived situation efficiency is the main factor.

Practical implications

– Both quality and situational factors should be taken seriously, and mobile device producers and mobile app developers should cooperate on improving the quality of mobile app. Meanwhile, it is critical to examine the relationship between web based and mobile library service in the initial or early stage of mobile library development.

Originality/value

– By focussing on the impacts of the relationship between web and mobile library service and evaluation of mobile library on the adoption intention, this paper not only provides a theoretical understanding of mobile library adoption behavior but also offers practical insights to library managers and app developers for promoting such a process.

Adoption of e-government services

Purpose

– The purpose of this paper is to develop a research model for understanding the relationship between service quality dimensions and demographic variables, and the willingness to use e-government services in Oman. Understanding the key determinants of electronic government (e-government) services is an important issue for enhancing the degree of use of these services by users.

Design/methodology/approach

– The data were collected using Google forms from 248 e-government service users. The hierarchical regression analysis was used to test the research model.

Findings

– The results showed that service quality dimensions, namely, reliability, security, efficiency and responsiveness, were the key determinants that influenced the willingness to use e-government services. In addition to service quality dimensions, two demographic variables, namely, age and education level of respondents, showed a statistically significant relationship with the willingness to use e-government services.

Practical implications

– The findings of this study provide useful insights into the decision-makers of e-government services in Oman and similar emerging economies. At the same time, these findings can also be used by academicians and information systems researchers for further research.

Originality/value

– This study is probably the first attempt to model e-government services on the basis of service quality dimensions and demographic variables in Gulf Cooperation Council countries. Moreover, this study will enrich the existing literature on the adoption of e-government services.