Growth Of E-commerce Research Articles

Factors Influencing Tax Compliance Among Tiktok Users Engaged in E-Commerce Activities in Malaysia

The Covid-19 pandemic has catalysed the growth of e-commerce, including using social media platforms for business. However, the lack of a physical presence in e-commerce introduces tax issues, potentially risking tax revenue losses. This study aimed to understand tax compliance among e-commerce operators in Malaysia who use TikTok. It examined the level of tax compliance, awareness, knowledge, morale, and complexity among these operators and explored the relationship between these factors and tax compliance. Data were collected via an online questionnaire and analysed from 106 responses using SPSS. The results indicated that TikTok users demonstrated a high level of tax compliance, solid tax knowledge, and strong morale but displayed low levels of tax awareness and complexity. Tax knowledge and morale positively influenced tax compliance among TikTok e-commerce operators in Malaysia, while tax awareness and complexity did not significantly affect compliance. These findings aid in understanding the behaviour of e-commerce operators regarding tax compliance, thereby promoting tax compliance and minimising potential tax revenue losses for the government. Keywords: tax knowledge, tax morale, tax compliance, tax awareness, tax complexity

Relevance of trust and satisfaction as mediators to behavioural intention of consumers towards online apparel shopping

The Internet is an integral part of every individual and is a means of business transaction, leading to the immense growth of e-commerce in all sectors. This research study evaluates the significance of attitude as a mediating variable between behavioural intention and overall satisfaction in apparel shopping using Partial Least Square – Structural Equation Modelling with a bootstrapping approach for evaluating the hypothesis. A total of 227 consumers were surveyed using a structured questionnaire and convenient sampling method with a cross-sectional method for collecting data. The hypothesis states that there is a significant relationship between overall satisfaction effect & attitude, reputation & trust, attitude & behavioural intention and trust & behavioural intention. Evidence of the partial mediation effect of attitude between overall satisfaction and behavioural intention is also identified. The findings indicate that the model is valid and has a good fit. Therefore, improved customer service and delivery service will help the corporate to uplift the endogenous latent variable of Behavioural Intention.

The Impact of the Development of E-Commerce on Inflation in Russia

Over the past few years in Russia and the world there has been a rapid development of goods and services e-commerce. Therefore, an issue of inflationary consequences of the process of e-commerce growth is topical. The subject of this research is the impact of the development of e-commerce on inflation. The purpose of the paper to identify key theoretical mechanisms of e-commerce development influence on inflation, in addition to empirically verify the presence of the de-inflation effect on Russian data. The paper bases on methods of systematization, descriptive analysis, panel data econometric analysis. Also systematize basic mechanisms of e-commerce influence and provide empirical evidence for the disinflationary effect of ecommerce in Russian regions as a result of the study. The study concludes that e-commerce causes predominantly downward pressure on prices and inflation. Econometric analysis confirms this effect on Russian regions data in 2014–2020. The scientific novelty of the research lies in systematization of channels of e-commerce influence on various spheres of economy and confirmation of disinflationary effect of e-commerce using Russian data. The study’s recommendation is to consider the aspect of price reduction pressure in Russia’s monetary policy during the further spread of e-commerce.

Oreste Besson Rank and Certainty Factor for Digital Business Investment Decisions

This study analyzes investment decision making in digital business using the Oreste Besson Rank and Certainty Factor methods. A mixed qualitative and quantitative approach is used to understand the qualitative factors that influence investment decisions and measure the effectiveness of analytical methods. The results of the qualitative analysis of the in-depth interviews highlight key factors: brand reputation (42% response), technology adaptability (35% response), and long-term growth potential (23% response). Uncertainty of technology and market changes (75% of respondents) affects investment strategy. Quantitative analysis uses the Decision Support System (SPK) and Besson-Rank methods to generate investment alternatives. Digital Properties rank the best, with Besson-Rank weighting the criteria score for a more in-depth look. The Certainty Factor (CF) method assesses investment options based on available data, with E-commerce Growth having the highest score, indicating a higher priority. The internal noise test confirms the Oreste Besson Rank and Certainty Factor methods as reliable tools, providing investment ratings and risk assessments consistent with simulated data. The results of this study underscore the importance of reputation, technology adaptability, and growth potential in digital business investment decisions. The Oreste Besson Rank and Certainty Factor methods are effective in providing accurate guidance. This research provides deeper insight into investment decision-making in a dynamic digital business and proposes recommendations for optimizing this analytical method in the face of market changes.

ANALYSIS OF E-COMMERCE FACTORS INFLUENCING ON ECONOMIC DEVELOPMENT

Today e-commerce has become an important part of daily life. Accessibility to e-commerce platforms is not a privilege but rather a necessity for most people. Thus, to grow more and earn higher profit it is highly recommended to have proper structure availability and easy accessibility of online sites, because it does not only determine profit and number of users but also the ranking and position of enterprise of the firm in overall business world. Also, in this paper I will focus about the growth and pattern of e-commerce in developing countries and its sales and impact in them, of all different types of e-commerce.

The impact of COVID-19 information overload on Vietnamese consumers' online purchase intention

PurposeUsing data from Vietnam to reveal which factors affected the impressive growth of Vietnam's e-commerce during the COVID-19 pandemic.Design/methodology/approachDrawing on the Stimulus–Organism–Response (S-O-R) framework, the study proposed a conceptual model in which the influence of COVID-19 information overload (IO) on online purchase intention (OPI) was discovered. The authors were also interested in examining the moderator roles of self-construal (SC), perceived ease of use (PEOU) and perceived usefulness (PU) in inducing the intention to make an online purchase.FindingsPerceived threat (PT) and cyberchondria (C) played full mediation roles in the impact of IO on OPI. Moreover, PT was found to be a partial mediator of the relationship between IO and C. Furthermore, interdependent self-construal (IntSC) positively moderated the positive effect of IO on PT. Finally, PU and PEOU showed significant moderated moderation effects, in which PU moderated the effects of PT and C on OPI, whereas PU itself was moderated by PEOU.Research limitations/implicationsUnderstanding the positive effects of IO, C and PT on OPI can be useful for marketers. In addition, managers should improve the ease-of-use and usefulness of online stores/platforms to attract more consumers to online channels.Practical implicationsMarketers and managers should learn more about how to take advantage of IO, PT and C. For instance, to sell medical supplements, marketer should push up related-health information such as obesity, diabetics, to make consumers perceive a threat to their health and search for ways to improve their health condition. This is the time when advertisements for medical supplements bring into play. This method can be applied in many different fields. The key is that marketers should find out what is the threat that their targeted customers can perceive and then spread out a huge amount of relevant information.Social implicationsThe government should control infodemic and guide people to obtain official information. This helps to restrain the PT and C, which seriously harm people's health and affect their behaviors, such as making unusual or panicked purchases. This study also suggests a considerable concern that residents of Asian cultures, where IntSC is dominant, may perceive threat more than residents of Western cultures.Originality/valueLimited research addresses the relationship between PEOU and PU when they act as moderators. Current research not only explains the moderation effect of PU under the influence of PEOU but also suggests that PEOU may be more important than PU in emerging markets due to customers' inexperience in online markets or channels. It also explores the factors that influenced OPI in Vietnam during the COVID-19 outbreak and contributes to the scientific literature on Vietnam, especially in terms of discovering the tendency of SC, which has not been mentioned before in research about Vietnamese.

Multiple traveling salesperson problem with drones: General variable neighborhood search approach

A key factor to consider in the development of new technologies in a number of fields is the use of unmanned aerial vehicles. This rapidly developing technology is used in military, communication, health, mapping, agriculture and transportation fields. The importance of cargo transportation has grown due to the growth of e-commerce. Currently, with advancing technology, and the effect of the pandemic, purchases are increasingly made over the internet. For cargo transporters, this situation leads to an increase in the number of destination points, in distances traveled, and in the delivery frequency, and a decrease in the package sizes. As a result, the planning of transportation has become increasingly complex. One solution is to make greater use of unmanned aerial vehicles in this sector, and to reduce reliance on trucks through appropriate planning. This involves two aspects: the unmanned aerial vehicle delivering to a point, while the cargo truck delivers to a separate point. In this study, we consider a multiple traveling salesperson problem simultaneously using multiple trucks and unmanned aerial vehicles for package delivery. We develop a general variable neighborhood search algorithm, and compare the results with the existing studies in the literature. Computational experiments show that our approach is able to find highly satisfactory solutions in reasonable time, and outperforms the existing methods in terms of best solution, average solution and solution time in majority of the instances.

Deep Filter Context Network for Click-Through Rate Prediction

The growth of e-commerce has led to the widespread use of DeepCTR technology. Among the various types, the deep interest network (DIN), deep interest evolution network (DIEN), and deep session interest network (DSIN) developed by Alibaba have achieved good results in practice. However, the above models’ use of filtering for the user’s own historical behavior sequences and the insufficient use of context features lead to reduced recommendation effectiveness. To address these issues, this paper proposes a novel article model: the deep filter context network (DFCN). This improves the efficiency of the attention mechanism by adding a filter to filter out data in the user’s historical behavior sequence that differs greatly from the target advertisement. The DFCN pays attention to the context features through two local activation units. This model greatly improves the expressiveness of the model, offering strong environment-related attributes and the adaptive capability of the model, with a significant improvement of up to 0.0652 in the AUC metric when compared with our previously proposed DICN under different datasets.

E-commerce and local labor markets: Is the “Retail Apocalypse” near?

The rapid growth of e-commerce is widely blamed for job losses in brick-and-mortar retail. Using geographic variations in online spending, constructed from over 30 billion credit card transactions in Korea, we examine the causal effect of e-commerce on local retail employment. We find that the rise in the share of online spending from 2010 to 2015 decreased county-level retail employment by about 4.9 percent. We also find that employment shifted from offline retail to other local businesses, such as restaurants and personal services. However, the shift in employment was confined to metropolitan areas, falling far short of offsetting employment losses in non-metropolitan areas. Our finding suggests that a Retail Job Apocalypse is likely in certain local labor markets (i.e., non-metropolitan areas).

A bi-level planning approach of logistics unmanned aerial vehicle route network

The rapid growth of e-commerce in urban areas has put incremental pressure on delivery. Unmanned Aerial Vehicle (UAV) has great potential in the logistics field with the aggravation of ground congestion. This study proposes a logistics UAV route network planning approach based on the bi-level program, which from the perspectives of network managers and users. The upper model focuses on the macro network configuration, while the lower model focuses on the UAV traffic flow distribution. The two-layer Simulated Annealing (SA) is presented to deal with the iterative process of network topology and traffic flow balance allocation. A case study is carried out using a region from Nanjing, to introduce the application of this bi-level approach. The results suggest that there is a positive correlation between the network overall length and the flow entropy, a negative correlation between the network overall length and the nonlinear coefficient. When the maximum transit time of UAV is 3, the comprehensive performance of network operation is optimal. This study provides a new way for logistics UAV network planning in urban areas, which is significant to regulate the operation of large-scale UAVs.

Operational cost analysis for e-commerce deliveries using agent-based modeling and simulation

The COVID-19 pandemic has highlighted the growth of e-commerce around the world. Especially in developing countries, assisted home delivery (AHD) is the main way for people to receive their goods purchased online. This delivery policy can result in delivery failure when the consumer is not at home and, consequently, in greater externalities that impact all stakeholders in last mile logistics. This paper aims to evaluate the operating costs of delivery lockers (DLs) through agent-based modeling and simulation. A total of 84 scenarios were simulated alternating the DLs usage rate and different delivery attempt policies. The results show that the most impacting system costs are time, external and re-delivery costs. The implementation of DLs and the exclusion of the three-attempt delivery together can reduce these costs and increase net profit by up to 79.1%. Therefore, DLs have economic potential for last mile logistics operations. However, this solution must be accompanied by incentive policies resulting from stakeholder engagement. We hope that this study contributes to a greater understanding of DLs as a sustainable solution for last mile e-commerce deliveries, helping decision makers in urban freight transport.

A Qualitative Exploration of the Marketing Challenges Faced by Small and Medium Enterprises in Gauteng, South Africa During COVID-19

Purpose: The aim of this study is to examine how the resurgence of e-commerce in South Africa during the Covid-19 pandemic impacted SMEs using e-commerce resources, and to devise strategies to assist SMEs to become more agile, resilient and better able to cope with disruptions. Theoretical framework: The coronavirus pandemic highlighted the need to investigate the challenges experienced with e-commerce by SMEs in South Africa since the pandemic disrupted business through the restriction of movement of people which accelerated the use of online shopping. The e-commerce resources and dynamic capabilities of SMEs were analysed to explore the impact they have on the growth of e-commerce. Methodology: Purposive sampling was used to identify 13 participants (SME owners/managers) for a qualitative study conducted using semi-structured interviews to gain an in-depth understanding of the challenges which impacted their business and marketing model. Thematic analysis was used to analyse the transcripts from the interviews and identify any patterns. Findings: It was ascertained that the pandemic stimulated the growth of e-commerce among SMEs that invested in unique resources and capabilities. However, those businesses that had not invested in on-line marketing resources were negatively affected and some have had to close. Practical implications: The practical implication of this research relates to how SMEs could (should) smartly digitise their business model and migrate to e-commerce more effectively and efficiently. Value: This study may assist SMEs to make more informed decisions when using e-commerce platforms. The findings may also contribute to preparing South African SMEs to adapt more easily, should a similar disruption occur in the future.

Efficient, secure and verifiable outsourcing scheme for SVD-based collaborative filtering recommender system

With the explosive growth of e-commerce, recommender systems are widely used to generate personalized recommendation for customers. SVD-based collaborative filtering and its variants are highly accurate and scalable approaches to recommender systems. Due to the heavy computation of SVD-based collaborative filtering, outsourcing the computation is an efficient solution to reduce computational complexity. In this paper, we propose an efficient, secure and verifiable outsourcing scheme for SVD-based collaborative filtering recommender system. We use symmetric block diagonal matrices as seeds to generate secret keys, which are novel orthogonal sparse matrices to blind the target matrices of SVD. Security analysis shows that our scheme can protect the privacy of both the input and output and efficiency analysis shows that our scheme is (3m2+3n2+5mn)/(m3+n3) efficient compared to fully local algorithm. In our scheme, we also create a verification approach that is capable of detecting misbehavior from a cloud server with probability (1−12n). The experiment shows that the client achieves significant computational savings and the recommendation accuracy of the scheme is nearly as good as that of the fully local algorithm.

CONSUMER PROTECTION AGAINST THE FALSE DESCRIPTION OF HALAL IN E-COMMERCE

The rapid emergence and growth of e-commerce have caused an increase in halal issues, especially with the false description of Halalin E-Commerce amongst the various online platform providers. More specifically, halal issues that need legal attention include safety issues, deceptive conduct, misleading representation, and false description. This study aims to analyse the adequacy of the Consumer Protection Act 1999 to protect consumers, especially regarding false descriptions of halal in online transactions. To achieve this objective, the approach is to adopt a qualitative research method, in which content analysis is made by comparing the consumer protection laws in force in other countries. The findings of this study revealed several challenges in applying such laws, which used ambiguous terminologies and imposed limited liabilities on online market operators. A few recommendations have been put forward, such as the interpretation of terms such as ‘consumer,’ ‘goods,’ ‘description,’ and ‘suppliers’ needs. These terminologies have to be revised, in addition to extend the liabilities of online market operators so that there will be better consumer protection for Muslims when they shop online.

How digital platforms affect the internationalisation of wine firms in China

PurposeThe Chinese market represents an increasingly popular destination for wine firms and recent opportunities derive from the growth of e-commerce. The aim of this paper is to understand the impact of digital platforms on wine firms' internationalisation in China by adopting the service ecosystems approach.Design/methodology/approachThe authors carried out a case study of Italian premium wine firms from the Valpolicella area by collecting 27 semi-structured interviews with key informants that operate at the micro-, meso- and macro-levels of the internationalisation ecosystem. Italian wine firms were selected as the focus of the analysis, given the recent sales growth of their products in the Chinese market.FindingsResults show that digital platforms hold a key role in the wine firms' internationalisation in China, intervening with resource integration mechanisms, alignment to the cultural context and mediating firms' digital presence in the market. The platformisation dynamics also reveal the existence of enablers and constraints in the firm internationalisation through digital platforms.Research limitations/implicationsThe authors aim to contribute to the marketing literature by analysing how digital platforms influence the wine firms' internationalisation in China through an original perspective, i.e. the service ecosystems lens.Originality/valueThe study adopts the service ecosystems approach to understand the internationalisation of wine firms in the Chinese market through digital platforms.

A STUDY ON THE USAGE OF FINTECH SERVICES AND ITS LEVEL OF SATISFACTION WITH SPECIAL REFERENCE TO NORTH BENGAL (WEST BENGAL)

Fintech, or financial technology, has been growing rapidly in India in recent years. With the emergence of digital technologies and mobile connectivity, fintech has transformed the financial landscape of India. The adoption of Fintech services in India has been influenced by various factors such as government initiatives, the growth of e-commerce, and the increase in smartphone usage. Despite the growing popularity of fintech services in India, challenges still need to be addressed to increase adoption. One of the significant challenges is the lack of financial literacy among consumers. Many consumers are not aware of the benefits of fintech services and are hesitant to adopt them. Consumer attitude plays a crucial role in the adoption of Fintech services in India. Consumers' willingness to adopt fintech services is influenced by various factors which are discussed in various studies. Consumers who perceive fintech services as easy to use and useful are more likely to adopt them. Additionally, trust and security are essential factors that influence consumers' decisions to adopt fintech services. FinTech is a new industry that uses technology to help people manage their money better. It is a broad category that includes many different technologies; however, the major objective is to alter how people and businesses access their finances and to make them more competitive with traditional financial services. For instance, Phone pay, Bharat-pay, Google pay, Amazon pay, etc. are well accepted by fintech users. It is observed that technology has been well accepted among the young generation therefore this study is an attempt towards studying extent of awareness and level of satisfaction achieved towards using the fintech services. The study found young people to be highly aware of fintech services who also accepted using it, awareness and acceptance do affect age disparities but not gender disparities. The degree to which users are satisfied with fintech services is also thought to be influenced by variances in age and gender.

WAYS AND PROBLEMS OF USING THE EXPERIENCE OF DEVELOPING COUNTRIES IN THE DEVELOPMENT OF ELECTRONIC COMMERCE

E-commerce is typically portrayed in extremely favorable terms, however there are also possible drawbacks for developing nations. The rate of e-commerce adoption varies substantially from nation to nation in developing nations. However, numerous others encounter comparable barriers to e-commerce. These primarily include a lack of a physical, financial, and legal infrastructure enabling the growth of e-commerce.

Evaluation of Barriers to E-commerce in Malawi using Grey Relational Analysis

E-commerce (electronic commerce) provides a convenient way of buying or selling products online and is a popular choice in certain segments of societies worldwide. The significance of e-commerce has been observed during the COVID-19 crisis, where customer preferences shifted from physical stores to online stores due to lockdowns and social distancing. E-commerce has been observed to be more effective in developed countries than in developing countries such as Malawi due to the difference in the resources required for the sustainability and growth of e-commerce. The current study evaluated the barriers to e-commerce in Malawi and ranked them using the Dynamic Grey Relational Analysis model. Using the primary data collected from the customers in Malawi, the study found that lack of trust in online systems and limited access to cell phones and computers and online payment methods are the most significant barriers. The study found that both human and technical (infrastructure) factors are hindering the growth of e-commerce in Malawi.

The Effect of Overpackaging Solutions in E-Commerce Towards Consumer Preference

The emergence of e-commerce has transformed business models, consumer purchasing behavior, as well as consumer shopping experience. Despite offering many advantages, the rapid growth of e-commerce also brought challenges to the environment. In comparison to the traditional retail system, the logistic system of e-commerce involves more touch points. Due to this, products purchased from e-commerce require additional packaging material to protect products from harm and damages during the distribution process, which leads to the issue of overpackaging. Additionally, many researchers have suggested overpackaging solutions from the perspective of the government, e-commerce enterprises, and consumers. However, the effectiveness of those solutions are still unidentified. To close the gap that previous studies have not explored, this research is conducted to find recommendations for tackling the issue of overpackaging in e-commerce by examining the factors that influence consumer preferences towards e-commerce overpackaging solutions. In conducting the study, the researcher used a quantitative approach with purposive sampling by conducting an online survey to 400 e- commerce users from the age range of 17-26 years old (generation Z), domiciled in Bandung and Jabodetabek area, and have experienced overpackaging in e-commerce. The researcher uses descriptive, statistical, and PLS-SEM to analyze the survey result. The result indicates that Innovating Green Packaging Materials, The Establishment of a Recycling System, Government Policy, and Increasing Awareness Towards the Preservation of the Environment has a positive influence on Consumer Preference, The Establishment of a Recycling System and Consumer Preference is mediated by Government Policy and Increasing Awareness T owards the Preservation of the Environment, and Innovating Green Packaging Materials and Consumer Preference is mediated by Government Policy. The finding of this research will give insight and recommendations for the government, e-commerce enterprises, and consumers in tackling the issue of overpackaging in e-commerce.

The Impact of Consumer Purchase Behavior towards User Purchase at E-commerce (Tokopedia)

With the rapid growth of e-commerce, businesses face the challenge of optimizing their strategies to attract and retain customers, while avoiding the common pitfall of burning money due to inefficient practices. Therefore, the treatment for digital customers is different of offline customers. This thesis explores the 7 main factors why users are convenient in shopping via Tokopedia. Through a comprehensive review of literature, the thesis provides insights into the concept of consumers' reasons, needs and why it’s convenient to purchase via Tokopedia. The thesis then tries to give another insight into delivering the best services to its consumers by not only focusing on promotion but from another variable. In particular, the thesis focuses on the impact of trustworthiness, recommendation, promotion, brand ambassador, brand reputation, advertising, and delivery toward consumer purchase using quantitative methods. Quantitative data is obtained through a questionnaire survey with 350 respondents across Jakarta. The thesis will deliver new insights for Tokopedia for the further strategy to not only focus on promotion. The findings of the thesis demonstrate that Tokopedia strategy can focus on developing a more consumer-centric approach bigger than promotion.