Antecedents of customer satisfaction in mobile commerce

Investigating the role of utilitarian and hedonic goals in characterizing customer loyalty in E-marketplaces

Despite significant growth in sales in recent years, retaining customers remains a major challenge for the electronic marketplace (e-marketplace) industry worldwide, including Indonesia. The small basket size of Indonesian customers has created a highly price-sensitive market, making it difficult to nurture customer loyalty. This study investigates the factors affecting consumer behavior and loyalty in Indonesian e-marketplaces by employing a newly proposed E-Marketplace Customer Loyalty Model. Since customers' expectations have extended from mostly utilitarian-oriented goals to incorporate hedonic goals, the proposed model includes both utilitarian and hedonic-based constructs by integrating the Expectation-Confirmation Theory, e-service quality, and the Hedonic Information Systems Model. The proposed model was tested using a comparative approach of machine learning classification algorithms and partial least square, aiming to create a more robust model. The PLS analytical results of ECLM hiearchical component model from 678 customers show that the fulfillment of hedonic values via perceived enjoyment has a greater impact on customer satisfaction than utilitarian values of perceived service quality. Perceived enjoyment, personalization, and customer satisfaction positively affect customer loyalty. The classification results provide further evidence for all hypothesized relationships of the ECLM. The Sequential Minimal Optimization (SMO) algorithm has demonstrated superior performance compared with other classifiers in predicting the dependent variable in most cases. Based on findings, this study offers theoretical and practical implications, and recommendations for sustainable loyalty programs in e-marketplaces.

Factors influencing loyalty to online health consultation platform: a cross-strait cultural perspective

BACKGROUND

The geographical, cultural, and linguistic proximity between Taiwan and Mainland China has facilitated rapid growth of cross-strait interactions. Both countries have developed online health consultation platforms on the Internet for the public to access healthcare related information. This study examines factors that influence loyalty to a specific online health consultation platform (OHCP) from a cross-strait perspective.

METHODS

Based on the Expectation Confirmation Theory and the combined Trust, Perceived Health Risks and Culture, we examine factors that influence loyalty to OHCPs among cross-strait users by investigating the roles of trust, perceived health risks, and culture. Data was collected through a questionnaire survey.

RESULTS

The research models used provide a high-power explanation of loyalty to OHCPs. Results generally align with those of previous studies, with the exception of the relationships between Perceived Health Risks and Perceived Usefulness, Perceived Usefulness and Loyalty, Confirmation and Satisfaction, and Trust and Loyalty. In other words, culture may have moderated these relationships.

CONCLUSIONS

Findings can help promote OHCPs among cross-strait users to make things easier for patients, and further reduce the load on the emergency department, especially in view of the still ongoing issues related to global outbreak of Coronavirus disease by facilitating early detection of potential cases.

Using the UTAUT model to analyze user intention to accept electronic payment systems in Serbia

This study applies The Unified Theory of Acceptance and Use of Technology (UTAUT) to explain the acceptance of electronic payment systems in Serbia. We used extended model that incorporates several external variables, such as perceived security, trust, privacy, convertibility and financial costs, along with basic UTAUT predictors. The sample comprised of 457 respondents. We applied structural equation modelling to develop the model and draw conclusions. The results showed that performance expectancy, perceived security, trust and social influence had strong positive effects on behavioral intention. Conversely, we found behavioral intention, convertibility and financial costs to be significant drivers of user behavior. We consider the inclusion of convertibility in the model and proving its significance to be the main practical implications of our research, and also suggest to be considered as a factor in models designed for countries with low purchasing power of national currency.

How Web Content Types Improve Consumer Engagement through Scarcity and Interactivity of Mobile Commerce?

The emergence of various web contents gives customers influence according to characteristics. The characteristics of the content can distinguish the three types of commerce: branded content-type commerce, review content-type commerce, and home shopping content-type commerce. The purpose of this study is to identify the difference between customer engagement and reuse intention according to the three types of content characteristics. To identify the research questions, we conducted experiment and survey for three different commerce types. Randomized participants were exposed to different three web contents. Analysis of variance (ANOVA) was applied to compare three groups on average to analyze the differences between those groups. After testing the manipulation of experiment, structural equation modeling for various antecedents was performed. Interaction had a positive effect on engagement, as we prove within the paper. Content information had a positive impact on engagement, as you can see within the research. The effect of attention on engagement was confirmed as positive. Results of analysis proved our hypotheses; thus, scarcity of time had a positive effect on engagement and scarcity of quantity had a positive effect on engagement, as we prove within the paper. Ubiquity has a positive effect on engagement. System quality positively affects engagement. Ease of use has a positive effect on engagement. Consumer engagement had a positive effect on reuse intention. Finally, there are differences among the three kinds of mobile commerce as a conclusion within the findings.

Factors Influencing the Acceptance of Mobile Collaborative Learning for the Continuous Professional Development of Teachers

The COVID-19 epidemic has not only triggered a worldwide health catastrophe, it has also affected learning processes all over the world. While COVID-19 was in its initial wave of transmission, educational systems around the world witnessed bitter experiences in the form of the closure of institutes or a shift to distance (or online) learning techniques. The delivery of quality education was affected the most where the educational system was already weak due to the unavailability of effective teachers’ professional development programs and the lack of the integration of technology. This study extends the conventional continuous professional development (CPD) model of in-service teachers adopted in the province of Sindh, Pakistan. The extensions are based on the integration of mobile technology and support for collaborative learning and ongoing assistance, which are missed in the current traditional model. To assess the acceptance and use of the app, an Mobile collaborative learning (MCL) based CPD acceptance framework is designed by combining chosen components from a generally recognized Unified theory of acceptance and use of technology (UTAUT2) and other well-recognized acceptance models for the acceptance and use of the technology. In the context of CPD, a total of 14 constructs have been selected which include performance expectancy; effort expectancy; facilitating conditions; hedonic motivation; mobility; knowledge acquisition; content and information quality; on-the-job support; reward; behavioral intention; engagement; interactivity with peer & experts; self-management and collaborative learning. Based on these constructs; a total of 13 hypotheses were developed with 55 measurement items. A total of 494 teachers participated in a two-week training session using the designed app. Based on the activity, a questionnaire was designed and distributed among the participants using WhatsApp groups during the academic year of 2021–2022. Out of 494 participants; 472 participants correctly filled in the questionnaires, which were selected for analysis. The data was analyzed using IBM SPSS version 21; and, for Structural Equation Modeling (SEM) analysis, IBM AMOS version 21 was used. According to the results, all thirteen hypotheses were found statistically significant showing the positive impact on the acceptance and use of the CPD app. The results of this study promote teachers’ and experts’ engagement and participation in CPD activities which not only improve the knowledge and skills of the learners but also impact their long-term professional development and success. This research may help the teachers’ training and related institutions to make better choices and develop a mobile collaborative learning system for school-based teacher support and training programs. As a basis, this study may also be used in other provinces of Pakistan and beyond to make it a CPD standard.

Assessing Antecedents of Behavioral Intention to Use Mobile Technologies in E-Commerce

The last decades have seen continuous increases in electronic commerce (e-commerce) and particularly mobile commerce (m-commerce). These sharp increases, especially during the COVID-19 pandemic, have led companies to become aware of the potential of this trade channel. This paper investigates the effects of antecedents on behavioral intention in m-commerce and the role of consumer satisfaction in the buyer decision process. In our investigation, we used the modified technology acceptance model (TAM). The research was conducted through a survey based on a self-administered questionnaire, with the data being analyzed by structural equation modeling and cross-tabulation. Following the investigation, we found that perceived usefulness (PU) and perceived ease of use (PEU) positively influence behavioral intention. Consumer satisfaction also plays a significantly positive role in m-commerce actual use, influencing future behavioral intention. The results also showed that generational and gender differences strongly affect behavioral intention, with younger generations and male respondents being more inclined to use m-commerce.

A Two-Stage SEM–Artificial Neural Network Analysis of Mobile Commerce and Its Drivers

The COVID-19 health and economic crisis has affected all areas of social life globally, including the economy. The world economy has declined due to purchasing power for individuals who have been forced to stay at home and cannot perform work. These restrictions to prevent the spread of SARS-Cov-2 have led to an increase in electronic commerce and mobile commerce as tools for procuring goods and services. In this paper, we conducted a longitudinal analysis of mobile commerce as an essential electronic commerce component, establishing the main drivers of mobile commerce and the intensity of their influences. The research focuses on mobile commerce in the United States (U.S.). It covers the period 2010–2020, the last year of this period capturing the context of the COVID-19 pandemic and its impact on electronic commerce (e-commerce) and mobile commerce (m-commerce). In the macroeconomic analysis of competitiveness, we established the main drivers of m-commerce, using artificial neural networks and the mediation effects found between the variables that describe m-commerce, e-commerce, and total sales, using structural equation modeling. The research results indicate an increase in the share of e-commerce in total sales and a predominance of the m-commerce share in e-commerce on the background of traffic restrictions and social distance rules imposed due to the COVID-19 pandemic. Stakeholders in the m-commerce area should consider the following enhancing drivers: increasing internet speed, expanding 5G and Wi-Fi networks, and increasing accessibility and trust in mobile devices and applications.

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.

Understanding Mobile Showrooming Based on a Technology Acceptance and Use Model

Showrooming is an increasingly popular behaviour in the omnichannel era. The purpose of this paper is to understand the consumer intention to showroom through a technology acceptance and use model based on UTAUT2 that includes value consciousness and purchase involvement as drivers of showrooming intention and mobile dependency as a moderator. Data collected via a survey answered by 659 showroomers were analysed using Partial Least Squares (PLS). Results show that value consciousness, purchase involvement, hedonic motivation and social influence explain mobile showrooming intention and mobile dependency moderates the impact of value consciousness on mobile showrooming intention. Our results offer suggestions for multichannel retailers to deal with showroomers visiting their stores to try to turn them into buyers.

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.

Does quality stimulate customer satisfaction where perceived value mediates and the usage of social media moderates?

Customer is considered as the king in the world of business. The issue of customer satisfaction in electronics home appliances has received greater attention from academics and practitioners. In other words, customer satisfaction is a vital consideration in marketing. With the development of technology, new and innovative electronic home appliances are available in the market. Customers purchase and use the costly electronic home appliances where the satisfaction issue is an important concern. In Bangladesh, working families find the electronic home appliance very necessary. Companies offer state-of- the-art appliances for customers' household works. Therefore, the study intends to investigate the effect of product quality (PQ), quality of service (SQ) and perceived value on customer satisfaction (CS). In addition, this study also seeks this relationship shaped by customer's perceived value (CPV) as a key mechanism and interacted by social media usage. A total of 300 households were selected on a judgmental basis from Dhaka city in Bangladesh using a structured questionnaire. Collected data were CB-SEM (AMOS-v24) and SPSS. The findings showed PQ and SQ have positive effects on CS; SQ affects, but PQ does not affect CPV. CPV has a mixing mediating effect on SQ and CS relationship and PQ and CS relationship. Importantly, the positive impact of PQ, SQ and CPV is greater on customers who exhibit higher social media use. The conceptual framework was buttressed by EDT theory. The study contributed to contextual and theoretical knowledge in regards to home appliances. The practicing managers can collect an insight of customer satisfaction for their business.

Investigation of customer churn insights and intelligence from social media: a netnographic research

Purpose

The purpose of this paper is to investigate the distinct reasons and more common reasons that reduce customer satisfaction and are antecedents to customer churn behavior in the telecommunication industry.

Design/methodology/approach

The study adopted the netnography approach to investigate churn behavior by utilizing online user-generated content in qualified social media communities.

Findings

The investigation revealed that “data speed issue”, “ineffective relationship building”, “service area coverage issues” and “billing issues” are some of the most important attributes that influence a consumers' decision to churn. Further, the churn consequence influencers model summarizes the attributes that contribute to overall dissatisfaction and finally results in churn behavior. The study found out the application of the netnography approach in a quantitatively dominant research area and stands out with its insights from a rich qualitative data.

Practical implications

Proper clarification of customer expectations and pain points can help reduce customer churn. The study will serve as the basis for developing future churn prediction models that will contribute to the informed decision-making process.

Originality/value

Contributing to research on customer churn behavior, the study offers a novel attempt to study customer satisfaction and customer churn behavior jointly. The paper is the first attempt that contributes to the extant literature by adopting the unique qualitative approach to understand the reasons for telecommunication churn behavior in the emerging Indian market. Another contribution of this research is that the paper shifts the focus of the electronic word-of-mouth (eWOM) literature to the telecommunications industry, thus adding another block to ongoing research in eWOM communication.

Peer review

The peer review history for this article is available at: https://publons.com/publon/10.1108/ OIR-02-2020-0048

What drives customer satisfaction and word of mouth in mobile commerce services? A UTAUT2-based analytical approach

Purpose

The purpose of this paper, which is based on the UTAUT2 model, is to develop and evaluate a predictive model of customer satisfaction related to mobile commerce (m-commerce) and the willingness to recommend this service to others.

Design/methodology/approach

The study was conducted based on a sample of 402 respondents. Confirmative factor analysis was used to evaluate the validity of the model, while structural equation modeling (SEM) was used to test the hypotheses. Finally, artificial neural networks were used to rank the influence of the significant predictors obtained by SEM.

Findings

Trust was found to be the most significant driver of customer satisfaction, followed by performance expectancy and perceived value. In addition, affective commitment and satisfaction were identified as the strongest predictors of word of mouth (WOM).

Originality/value

The originality/value of the paper lies in the establishment of the connection between the independent variables of the UTAUT 2 model – trust, satisfaction, affective and continence commitment and WOM. Additionally, it is one of a small number of studies investigating customer commitments and their influence on WOM in m-commerce.

The interests of small- and medium-sized enterprises (SMEs) actor in using mobile commerce in effort to expand business network

Purpose

This paper aims to know the interest of leading small- and medium-sized enterprises (SMEs) of Y generation in Surabaya City using mobile commerce, identify the effort that has been done by the leading SMEs actors of Y generation in Surabaya City to expand its business network by using mobile commerce, and analyze the success rate of the use of mobile commerce to expand the business network of leading SMEs of Y generation in Surabaya City.

Design/methodology/approach

This research is designed using qualitative method. The research is directed more toward a research with phenomenological approach because the research also gives the description related to the phenomena in the field to the actor of SMEs and Disperdagin of Surabaya City. The researcher picks Surabaya City as the location by considering the following: the number of SMEs in the Surabaya city is greater than any other cities in East Java considering that Surabaya is the capital of East Java. The number of SMEs is 37,906 units; it means that Surabaya is a city with high economic activity and this place is also the largest trading city after Jakarta. Based on the number of SMEs mentioned above, in this research, only leading SMEs are taken amounted to 161 leading SMEs in the Surabaya City. Information or technological exchange and development are faster compared to other cities because most of the community living in this city uses information technology in running their business.

Findings

SME actors in Surabaya city have high interest in using m-commerce. In expanding the network, the SME actors use online media. The SME actors in Surabaya have successfully expanded the business network through online marketing by using m-commerce to overseas including Germany, France, South Korea and the UK. Effective model is needed for the policy in Surabaya city is Disperdagin has its own website to overshadow all SMEs in Surabaya City, and identify the role of Disperdagin to SME or vice versa, and clustering SMEs in Surabaya such as cluster of handicraft and Food and Beverage (MAMIN). Factors that are the advantages of using m-commerce are wider business network; increasing sales; adding resellers and buyers; smooth business transaction; development of product innovation, process and marketing; the facilities provided by the government; and easy to use m-commerce application.

Originality/value

This is one of few papers that study the interest of SMEs actor in using mobile commerce in effort to expand business network. The use of m-commerce will grow the business capability of SMEs, thus increasing the role of SMEs as the counterweight to the structure of the national economy. Therefore, the government policy related to the use of e-commerce and m-commerce is very important to be socialized to business actors, especially the SMEs.

The Mediating Role of Perceived Value in the Effect of Multi-Dimensional Risk in Mobile Banking

This study examines which risk factors contribute most to perceived risk in Vietnam's mobile banking environment; explores the relationships among perceived risk, perceived value and intention to use mobile banking in Vietnam's mobile banking environment; and investigates any mediating role perceived value may have in the relationship between perceived risk and intention to use mobile banking in Vietnam's mobile banking environment. A convenience sample of 403 respondents who were customers of one of the largest joint stock commercial banks in Vietnam was used. The results of this study indicated that perceived risk is negatively related to intention to use mobile banking; that perceived value is positively associated with intention to use mobile banking; that perceived risk is negatively related to perceived value; and that perceived value plays a partial mediating role in the relationship between perceived risk and intention to use mobile banking.

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 consumers in multichannel online retail environment

Purpose

With India becoming world’s second largest user of smartphones (Ming, 2017) and with more users adopting mobile devices for online shopping, Indian online retailers now have to manage mobile channel in addition to existing traditional channel (of computers). Hence, the purpose of this study is to investigate the mapping of product characteristics with individual channel capabilities and its effect on online consumer behaviour, so that e-tailers can create enhanced online shopping experience for consumers.

Design/methodology/approach

A comprehensive research model is developed on the basis of the knowledge gained from multichannel retailing and e-commerce literature. Then, the model is empirically tested, with primary data collected from 344 customers, using structural equation modelling. The data are collected from customers across two product categories: electronics and fashion.

Findings

The results reveal that perceived usefulness, perceived risk and perceived self-efficacy are important drivers of online consumer behaviour for continued usage. The multi-group analysis confirms the moderation influence of platform type for some relationships across electronics and fashion.

Practical implications

The findings underline the importance of multichannel complementarity across electronics and fashion. The preference of mobile devices for fashion and traditional devices such as computers for electronics provides valuable insights for online retailers towards management of multichannel e-commerce ecosystem.

Originality/value

In Indian context, this is the first empirical research on online multichannel retail setting, studying the impact of diverse channel formats on different product categories. The study’s findings give empirical basis to online retailers to look out for right product–channel fit strategy for engaging consumers in the long run.

Effect of YouTube Marketing Communication on Converting Brand Liking into Preference among Millennials Regarding Brands in General and Sustainable Offers in Particular. Evidence from South Africa and Romania

The omnipresent role of online information and communication technology (ICT) channels in the lives of Millennial consumers is universally recognised in industry and academia. The persistent usage of ICT platforms such as social media, especially digital video sharing conduits (e.g., YouTube), among the Millennial cohort has become an important marketing communication platform for organisations to reach this evasive target market. The extensive use of YouTube has generated billions of dollars in marketing communication income, but there is limited academic inquiry in terms of in developing economies, particularly regarding the effect of online usage and demographic factors among Millennials. This paper examines the effect of YouTube marketing communication on affective (attitudinal) responses, meaning brand liking and the impact on brand preference, among Millennials in two developing economies, Romania and South Africa, as well as the influence of usage and demographic factors on the affective (attitudinal) association. A survey was conducted among 400 Romanian and 400 South African respondents, and the hypothesised associations were evaluated via structural equation modelling (SEM) and multigroup SEM. The results of this paper reveal a favourable connection between brand liking and brand preference as a result of YouTube marketing communication, making a notable contribution to the limited YouTube inquiry on attitude-to-advertising theory in developing economies regarding brands in general and sustainable offers in particular. A number of the online usage and demographic factors were also found to have an effect on the brand liking and preference association, supporting in the reduction of the academic–practitioner gap, and assisting organisations in better understanding Millennials in the development of effective marketing communication campaigns on video sharing platforms.