ABSTRACT
Alongside economic development, trade enhancement and digitalization, both e-commerce and m-commerce have increased gradually over the last decade and are forecasted to increase further over the following years. In the latest years, one of the most important catalyzers of these evolutions was the emergence of the COVID-19 pandemic. Within this paper, we aim at assessing the impact of some structural economic and social factors upon m-commerce. Specifically, we test the relationship between m-commerce and digitalization, education, economic growth, unemployment and income inequalities within three different clusters of countries of the European Union, for the period 2010 - 2020, using panel date regression models. Our results confirm a positive relationship between m-commerce and digitalization, education and economic growth, while showing a negative link between m-commerce and unemployment in all clusters. On the other hand, our empirical analysis concludes upon quite different results across the three clusters, when considering the relationship between m-commerce and income inequalities. © 2022, Bucharest University of Economic Studies. All rights reserved.
ABSTRACT
During the period affected by COVID-19, m-commerce has changed how business is carried out. However, the share of m-commerce among Romanian SMEs remains low. This study aims at investigating the influence of six groups of factors on the concrete actions of m-commerce implementation by SMEs. This study used two research methods: qualitative and quantitative research (1500 questionnaires). Within the qualitative research, Cronbach's alpha test, exploratory factor analysis (EFA) with Bartlett and KMO tests, and linear equation model (OLS) were applied. The outcomes reveal that environmental and competitive pressure, employees' IT knowledge, and customer pressure positively affected the implementation of m-commerce by Romanian SMEs during the COVID-19 pandemic. In addition, the findings also indicated that cost implementation, the nature of the industry, and the traditional way of doing business represent barrier factors that negatively affect the implementation of m-commerce by Romanian SMEs. The conclusion section offers concrete solutions for heightening the level of m-commerce implementation within Romanian SMEs along with certain political implications. © 2023, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.
ABSTRACT
Mobile devices are ubiquitous in the lives of modern consumers, who use them for information‐seeking and purchasing activities, fostering the emergence of m‐commerce. This trend has been exacerbated by the COVID‐19 pandemic, which has boosted m‐commerce growth in both developed and developing countries. Hence, there is a need for cross‐cultural research concerning the factors affecting behavioural intentions. Drawing upon the hedonic information systems model, we measure the impact of utilitarian factors on satisfaction, repurchase intention, and eWOM through the mediation of enjoyment across two countries characterized by different stages of m‐commerce readiness and culture: China and Italy. Findings suggest that the impact of utilitarian factors on satisfaction is stronger among Italian users than Chinese users. On the contrary, for Chinese users, who use their mobile phones as a primary device to shop online, the mediation effect of enjoyment on satisfaction and eWOM is stronger. With this study, we contribute to cross‐cultural research in m‐commerce and provide guidelines to mobile retailers operating in diverse international markets.
ABSTRACT
Since the outbreak of COVID-19 in the early year 2020, many businesses and industries have encountered serious impact on their operation and maintenance, but the significant growth rate of e-Commerce industries has caught all people's eyes. Many domestic and foreign leading businesses are forced to speed up their configuration for moving into e-Commerce and m-Commerce. For e-Commerce businesses, they do not have much physical communication and interaction with consumers, it may eliminate the expensive management costs, but they cannot provide customers with good opportunities for experiencing. So, how to pure e-Commerce transform into the New Retail Omnichannel operating model is an important research issue. In view of all, this study intends to apply Analytic Hierarchy Process (AHP) in combination with the Fuzzy Theory to analyze a decision-making issue, namely, what factors are deemed important or concerns to "the pure e-Commerce businesses” in their future transformation into New Retail Omnichannel operating model. In the results of this study, "increase revenue”, "develop customer's potential market”, "increase stock turnover, "reduce reverse logistics costs”, and "increased management costs” are the five consideration factors most important to transformation into new retail model. The results from this study provide the pure e-Commerce businesses with considerably useful reference in the issue of transformation into New Retail operating model in their future. © 2022 International Consortium for Electronic Business. All rights reserved.
ABSTRACT
M-commerce has the potential to change consumers' shopping habits and establish itself as a significant commerce channel. People rely on digital devices more than ever before, and the growth in M-commerce predicts that mobile will become the preferred channel for online shopping soon. This study is aimed at examining the effect of personal factors, economic factors, ease of doing factors, and safety-related factors due to Covid-19 on the adoption and use of M-commerce services among customers in Saudi Arabia. The study is empirical and is based on survey responses from 340, M-commerce customers in Saudi Arabia. The questionnaire method was used to collect the data. ANOVA and bivariate regression analysis were used to evaluate the collected data. The results showed that four independent variables, namely, personal, economic, ease of doing, and safety factors during the Covid-19 pandemic, are significant predictors of the dependent variable, adoption and use of M-commerce services by the customers. These factors influence customers' purchasing decisions when they use M-commerce services. The study also concluded that the frequency of using M-commerce has increased during the Covid-19 pandemic because of health, safety, and social distancing guidelines. One of the main limitation of the study is the few selective constructs for the research. The finding of the study will be beneficial to the customers to understand the significance of M-commerce services, especially during pandemic situations.
ABSTRACT
This paper aims to examine the main challenges encountered by mobile grocery-shopping applications’ (MGSAs) users, wherein the analysis is based on the review comments for three popular MGSAs deployed by main grocery retailers in Europe. The research methodology used was qualitative in the form of a cross-sectional inductive approach, allowing for the identification of the main issues encountered by users and their classification into four categories for a more straightforward presentation. The research findings indicate that despite the below-average level of digital literacy, customers are trying to use MGSAs efficiently and are proposing different areas of improvement, such as the design, the general functionality of the applications, and other factors regarding the specific functionalities of MGSAs. The findings may be leveraged by grocery retailers to exploit this market efficiently in a post-pandemic context;moreover, the study’s results could provide meaningful knowledge to the mobile retail industry, as the detailed insights offer adequate support for enhancing mobile-shopping (m-shopping) applications.
ABSTRACT
Mobile devices are ubiquitous in the lives of modern consumers, who use them for information-seeking and purchasing activities, fostering the emergence of m-commerce. This trend has been exacerbated by the COVID-19 pandemic, which has boosted m-commerce growth in both developed and developing countries. Hence, there is a need for cross-cultural research concerning the factors affecting behavioural intentions. Drawing upon the hedonic information systems model, we measure the impact of utilitarian factors on satisfaction, repurchase intention, and eWOM through the mediation of enjoyment across two countries characterized by different stages of m-commerce readiness and culture: China and Italy. Findings suggest that the impact of utilitarian factors on satisfaction is stronger among Italian users than Chinese users. On the contrary, for Chinese users, who use their mobile phones as a primary device to shop online, the mediation effect of enjoyment on satisfaction and eWOM is stronger. With this study, we contribute to cross-cultural research in m-commerce and provide guidelines to mobile retailers operating in diverse international markets. © 2022 The Authors. International Journal of Consumer Studies published by John Wiley & Sons Ltd.
ABSTRACT
The main purpose of this article is to compare the state and dynamics of e-commerce development in selected countries: Poland, Turkey and the PRC (People’s Republic of China), from the point of view of individual customers. The comparison was carried out in two stages: the first months of 2020 (before the COVID-19 pandemic) and the first months of 2021 (during the pandemic). The study conducted involved university students. The surveys were carried out using the CAWI method, and they were made available on the servers of the Faculty of Management at the University of Warsaw. The research sample included 650 individuals. Differences in the obtained results were evaluated using the City distance. The hypothesis concerning the lack of differentiation between the evaluations of individual e-commerce criteria was formulated, and it was disproved in the course of the study. The results of the research indicate that the variation between countries appeared mainly in relation to the direction of the development of e-commerce during the COVID-19 pandemic, the type of (mobile/traditional) device used to shop online and, above all, the specificity of the country where the study took place with its past experiences, cultural circumstances and shopping habits, as reflected in the development of online commerce. The limitation of the study was the fact that it was conducted in an academic environment and, at this stage, it was limited to the analysis of the results covering selected countries. Nevertheless, the valuable contribution and undoubted achievement of the work consist in the fact that, for the first time, e-commerce solutions have been compared for countries that are so culturally, economically and demographically different. The results of this study may be used by business practitioners to guide them on possible strategies regarding the development of e-commerce in their countries in the post-pandemic reality. © 2022 by the authors. Licensee MDPI, Basel, Switzerland.
ABSTRACT
Purpose This paper aims at shedding light on the competing extrinsic motivations behind the mobile shopping process of regular and occasional shoppers. Price and convenience, shopping security, order delivery and post-sale service are investigated as antecedents of the mobile shopping attitude-intention path. Design/methodology/approach The empirical analysis is based on a multigroup structural equation model (SEM) developed on 903 online questionnaires collected among Chinese shoppers in a pre-Covid-19 pandemic retailing context. Findings Findings evidence contrary motivations behind the attitude - intention to shop using a mobile retail app of regular and occasional shoppers. While all the investigated aspects result to be positively relevant for regular m-shoppers, shopping security and post-sale service do not impact the attitude - intention path of occasional mobile shoppers. Results support retailers' strategies in the context of mobile shopping growth. Originality/value The paper contributes to the emerging retailing literature on mobile shopping by offering a comparison of the motivations behind the mobile shopping intention of regular and occasional shoppers. Extrinsic motivations before, during and after the transaction are jointly investigated in the study.
ABSTRACT
Global retail industry players have witnessed a grave scenario due to the impact of the COVID-19 pandemic. The pandemic has changed the way shoppers think, manifested in the decelerating footfall and increasing threat for traditional brick and mortar stores. The strategy of switching over to omnichannel seemed to have provided the needed relief to traditional retailers and manufacturers in the consumer goods industry. However, a robust omnichannel product assortment model requires integrating channels and remodeling managers' roles to provide consumer experience and satisfaction and maximize profitability across all touchpoints with minor disruptions. The paper formulates and simulates an omnichannel data-driven fulfillment analytical model to analyze customers' product mix and manage assortment accordingly. Further, an optimization model that maximizes revenue and profitability is formulated as a suggestive framework with strategies for the current scenario. The paper is helpful for marketing researchers and retail planners for omnichannel assortment management. (PsycInfo Database Record (c) 2022 APA, all rights reserved)
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This research includes the design of an M-Commerce application to reduce the cessation of operations of textile companies in Lima-Peru;due to the SARS-CoV-2 health emergency declared in the country. Being the objective of this investigation, to reduce the cessation of the textile companies affected in their sales and processes. This technological design allows entrepreneurs to offer their products, control sales, profits and reduce order service times through the mobile application. The research methodology is applied, and a pre-experimental design was considered that measures the registration time of generating orders, the quality of the orders and the follow-up. Two companies from the Gamarra Shopping Center were used as samples, to whom a pre-test and post-test were applied;obtaining as a result, in the indicator, time of registration of orders generated, an average time reduction of eight minutes. Likewise, for the quality indicator of generating orders, an average growth of 19.05% was obtained. Finally, for the order tracking indicator, an increase in the satisfaction of the order process was obtained. © 2021 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
ABSTRACT
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.
Subject(s)
COVID-19 , Pandemics , Commerce , Consumer Behavior , Humans , SARS-CoV-2 , Surveys and QuestionnairesABSTRACT
Identifying and monitoring business and technological trends are crucial for innovation and competitiveness of businesses. Exponential growth of data across the world is invaluable for identifying emerging and evolving trends. On the other hand, the vast amount of data leads to information overload and can no longer be adequately processed without the use of automated methods of extraction, processing, and generation of knowledge. There is a growing need for information systems that would monitor and analyse data from heterogeneous and unstructured sources in order to enable timely and evidence-based decision-making. Recent advancements in computing and big data provide enormous opportunities for gathering evidence on future developments and emerging opportunities. The present study demonstrates the use of text-mining and semantic analysis of large amount of documents for investigating in business trends in mobile commerce (m-commerce). Particularly with the on-going COVID-19 pandemic and resultant social isolation, m-commerce has become a large technology and business domain with ever growing market potentials. Thus, our study begins with a review of global challenges, opportunities and trends in the development of m-commerce in the world. Next, the study identifies critical technologies and instruments for the full utilization of the potentials in the sector by using the intelligent big data analytics system based on in-depth natural language processing utilizing text-mining, machine learning, science bibliometry and technology analysis. The results generated by the system can be used to produce a comprehensive and objective web of interconnected technologies, trends, drivers and barriers to give an overview of the whole landscape of m-commerce in one business intelligence (BI) data mart diagram.