E-commerce Activities Research Articles

Implementation of e-commerce in improving the competitiveness of vocational secondary education student entrepreneurship products

This study aimed to identify problems, describe, analyze, and evaluate the use of e-commerce to increase the competitiveness of innovative and entrepreneurial products produced by students of State Vocational High School 3 South Tangerang, Banten province. This research had three main stages, namely the preparation stage, the implementation stage, and the evaluation stage. The research location was the State Vocational High School 3 South Tangerang, Banten province, Indonesia, due to the school being outstanding in the field of Motorcycle and Animation expertise. The resource persons and respondents in this study were teaching teachers and students in classes 10-12 majoring in culinary, automotive, and animation. Implementing e-commerce activities at the production unit of State Vocational High School 3 South Tangerang, has increased the image of the production unit of State Vocational High School 3 South Tangerang. This study was a descriptive qualitative with the questionnaire, interview, and practice method. This study revealed that the application of e-commerce using the Shopee seller marketplace provided significant benefits and impacts for the production unit of State Vocational High School 3 South Tangerang. When the production unit implemented e-commerce, sales turnover increases rapidly, and the number of consumers, as a means of promotion, ease of transaction did not need to meet directly with buyers and can expand the business. However, there were also several obstacles, like weak human resources, intense competition, and the emergence of plagiarism of ideas and products.

Privacy concerns in consumer E-commerce activities and response to social media advertising: Empirical evidence from Europe

This research quantifies how privacy concerns and consumer characteristics are associated with e-commerce participation and consumer response to social media advertising by accounting for both individual-level and country-level covariates. This study uniquely analyzes a rich micro-level data set that includes responses of 153,053 individuals from 29 European countries. Through multilevel logit modelling, authors account for the country nested structure of consumer behavior and report odds ratios for relations between privacy measures and e-commerce activities of consumers in Europe. Privacy risk knowledge and online information sharing levels are positively correlated with probability of e-commerce participation. Odds of e-commerce participation are negatively associated with level of concern on online activity recordings. Consumers who take more protective actions against online privacy risks are more likely to participate in e-commerce and make purchase in response to social media advertisements. Firms that offer credible tools to help consumers protect their online privacy can benefit from increased e-commerce participation and higher effectiveness in social media advertising. Representative sampling in data collection offers external validity and generalizability of findings to the European market, which is unique for this study and an empirical contribution.

Strategi Digital Marketing Untuk Meningkatkan Pemasaran UMKM Di Kelurahan Turi Kota Blitar

The development of technology today has greatly improved, resulting in influential business efforts of both large and small. Activities in promoting products globally can increase sales volume and profit by using digital marketing. In the majesty of Turi, there are quite a few societies that do business. However, among the MSMEs that have developed, they are still hampered by a lack of knowledge about online marketing. The reason many business actors do not carry out E-commerce activities is because they are more comfortable selling offline (directly), not interested in selling online and lack of knowledge or skills in online marketing. Therefore, a digital marketing strategy activity was held to increase the marketing of MSMEs in Turi Village in Blitar City. The goal is a strategic effort to increase marketing potential through digital marketing for MSMEs in Turi Village, Sukorejo District, Blitar City. The methods used in this activity are socialization, discussion, training and mentoring. The digital marketing strategy to increase marketing for MSMEs in Turi Village, Sukorejo District, Blitar City is carried out in several stages, namely digital marketing socialization and digital marketing training and assistance. It is hoped that MSMEs can apply product photos to attract consumer interest, use a marketplace, create a website to promote MSME products in Turi Village to increase marketing through social media

Upaya Membangun Kesadaran Keamanan Siber pada Konsumen E-commerce di Indonesia

Upaya Membangun Kesadaran Keamanan Siber pada Konsumen E-commerce di Indonesia

INCENTIVE EFFECT AND EMOTION REGULATION OF INFORMATION TECHNOLOGY ON INNOVATION BEHAVIOR

INCENTIVE EFFECT AND EMOTION REGULATION OF INFORMATION TECHNOLOGY ON INNOVATION BEHAVIOR

E-commerce in the financial sector: transition to industry 4.0

The aim of the work consists of: identifying the e-commerce activities implemented by the financial sector in Mexico, using quantitative methods, in order to perform a cluster analysis. Through a compilation of data from the Census on information and communication technologies (2019), sales in millions of pesos and sales methods through ecommerce (Company website, third-party website) are established as study variables. , social media, email). The results indicate that the financial sector that operates in Mexico City reflects the highest amount of sales revenue through e-commerce in: the company's website, third-party website and email, while the sector predominates in social networks financial institution of Nuevo León. Challenges are observed in the integration of technologies industry 4.0 that allow generating greater competitiveness in digital marketing

Covid- 19 Pandemisinin E-Ticaret Üzerindeki Etkisi

Within the scope of the study, an evaluation was made on e-commerce activities in Turkey during the covid-19 pandemic period. First of all, theoretical information about e-commerce and e-export was given within the scope of the study, in which a conceptual framework was drawn, and then the studies conducted within the scope of the subject were mentioned. Although there is no study about the state of e-commerce and e-export in Turkey, it has been tried to include the data obtained from a few studies created within the scope of the subject. As a result of the study, it was concluded that the pandemic process had important effects in the field of e-commerce as in every field, and it was seen that some sectors stood out over other sectors (Health, Cleaning, Food). Keywords: E-Commerce, E-Export, Pandemic

Precision Marketing Optimization Model of e-Commerce Platform Based on Collaborative Filtering Algorithm

e-commerce mode shows great modern commercial value. In particular, online shopping has become a fashion and trend for people because of its convenience and rapidness. How to find the information users that need accurately and quickly in the increasing network information and recommend products is a big problem. Although precision marketing was mainly used in e-commerce activities in the past, due to factors such as the technical basis and data analysis ability at that time, there was not enough technical ability and theoretical basis to deeply mine and make use of the existing data. The collaborative filtering algorithm is one of the most widely used and successful recommendation techniques, but it has obvious defects. In this paper, the nearest neighbor collaborative filtering recommendation algorithm based on statistical eigenvalue classification is proposed in the collaborative filtering algorithm. By calculating the similarity between items, the user’s rating of unrated items is preliminarily predicted, the nearest neighbor of items is formed, and the classified cluster of items is formed. The matrix is filled by the similarity between related items. The cold treatment problem is solved under the optimization of the ant colony algorithm. In the experiment of the model, the optimization rate for the cold start problem is 87.3%.

Logistics Optimization Strategy Based on Deep Neural Framework.

We propose a logistics optimization method based on improved graph convolutional networks to address the current problem of low product delivery rate and untimely product delivery during the peak period of e-commerce activities. Our method can learn excellent planning strategies from previous data and can give the best logistics strategy in time during the peak logistics period, which improves the product delivery rate and delivery time of logistics and greatly enhances the return on investment. First, we add a tensor rotation module to the graph convolution layer to better capture the global features of logistics nodes. Then we add inception structures in the temporal convolution layer to build multiscale temporal convolution filters to obtain temporal information of logistics nodes in different time-aware domains and reduce arithmetic power. Finally, we cooperate with e-commerce platforms to adopt logistics data as the experimental database. The experimental results show that our method greatly accelerates the logistics planning speed, improves the product delivery rate, ensures the timely delivery of products, and increases the return on investment.

The change in e-commerce in the context of the Coronavirus pandemic

Abstract As COVID-19 had been posing unprecedented challenges, the economic agents as well as the individuals had to adapt to a new lifestyle. The preventing measures against the spread of the virus determined an increase in e-commerce activity in general, and in mobile commerce in particular. In this regard, sellers redefined their strategies revolving around smartphone applications for online shopping, which will gradually become the global shopping standard. Therefore, the aim of this paper is to evaluate the current situation of e-commerce, focusing on the main transformations since the beginning of the pandemic. The methods used in the paper consist in both qualitative research of the literature regarding e-commerce and a quantitative analysis that captures two aspects: on one hand it highlights the change determined by the pandemic in online commerce, and on the other hand it shows an X-ray of the EU states positioning in terms of e-commerce evolution. The latter consists in a comparative Hierarchical Cluster Analysis that aims to provide an image on the situation of EU states, before and after the pandemic has been installed. The Cluster Analysis was carried out in SPSS software and it is based on a series of chosen indicators from Eurostat database. This comparison provides an image of how changes among the clusters take place in terms of e-commerce indicators. It is noted that in countries where the digitization was more developed, the value of the change in online commerce was less considerable, comparing to the Eastern and Balkan states, which had a more significant increase. However, there are significant limitations based on the small number of indicators taken into consideration in this paper. Future work needs to be done in order to explore new ways to address the challenges identified in the development of e-commerce and online shopping.

A Clustering Algorithm for Cross-border E-commerce Customer Segmentation

With the deepening of reform and opening up, cross-border e-commerce has made great progress and plays a very important role in today's society. Cross-border e-commerce is not only a place for commodity trading, but also a key channel for information communication when commodities are traded. Clustering analysis is one of the common technologies in the field of data mining, and it has its unique advantages in the application of customer segmentation. Firstly, this paper improves the selection of the initial clustering center of K-means clustering algorithm. Aiming at the defects of the existing literature, such as long time-consuming algorithm and poor accuracy when calculating the corresponding sample points for multiple maximum density parameter values as the initial clustering center, an improved scheme based on quadratic density is proposed and applied to customer value segmentation. The research shows that the improved K-means clustering algorithm significantly improves the quality of clustering, thus improving the effectiveness and pertinence of cross-border e-commerce marketing activities.

A Road to Become Successful in The Fashion Industry of China: A Case Study of Zara

In this research, it was found that Zara is facing issues while maintain its profitability and also while maintaining its large stores. Existing information collected from websites and articles show that Zara provides inferior quality products, does not have factory in China, focuses less on e-commerce activities, and contributes directly to environment pollution through waste generation in China. These are reasons that the organization is losing its brand image in China. To improve its current condition, it is recommended that Zara should improve its products, focus more on marketing, develop factories in China and reduce environment pollution.

E-Commerce and Teleworking: Business Opportunities in the COVID-19 Era

The COVID-19 pandemic has had a key effect on how people work, hang out, and prepare for the future. This social split has a substantial adverse effect on industries, affecting not just economic disruption but also instability and uncertainty. At the same time, as in any major catastrophe, clean and new ways to reinvent the e-commerce business industry in a brand new light and with a new wind will arise. The variations in the use of new technologies and more in particular the use of innovative online services on the Internet are related to the online business sector where the populace is employed and its level of training. One of the advanced services offered by the e-commerce companies is teleworking. This paper shows the results of a critical analysis of the business opportunities in e-commerce in post COVID-19 world about the practicability of teleworking within business organizations. Teleworking business opportunities in an organization’s practicability is meaningfully explained by the percentage of tasks suitable to teleworking, the employees' participation in task design and programming, the proportion of salespeople in the workforce, the degree of work-location allocation for e-commerce activities, the use of information and communication technologies, and the degree of innovation. E-commerce in the post COVID-19 world and teleworking perceive a greater feasibility than the regular workforce.

The Mapping of Electronic Commerce Issues and Consumer Protection Policy in Indonesia

In the post-economic crisis in 1998, Indonesia experienced significant economic growth. Public consumption activities have become vulnerable due to open economic activities. In this case, the government has issued Law Number 8 of 1999 concerning Consumer Protection to protect consumers in fulfilling their needs. In September 2020, the Central Statistics Agency recorded that the millennial generation and generation Z dominate the population structure in Indonesia. This population structure also changes consumption patterns due to their lifestyle, including trends in electronic commerce or e-commerce. This study explores how consumer incidents relate to electronic commerce or e-commerce activities. It also strives to see the government’s role in formulating policies related to consumer protection in electronic commerce or e-commerce. This study used the descriptive qualitative method of policy analysis. The findings of this study indicate that responsive policies are needed to minimize consumer incidents and strengthen cross-ministerial/institutional coordination related to consumer protection with ministries/agencies coordinating consumer protection.

Maximum Profit Facility Location and Dynamic Resource Allocation for Instant Delivery Logistics

Increasing e-commerce activity, competition for shorter delivery times, and innovations in transportation technologies have pushed the industry toward instant delivery logistics. This paper studies a facility location and online demand allocation problem applicable to a logistics company expanding to offer instant delivery service using unmanned aerial vehicles or drones. The problem is decomposed into two stages. During the planning stage, the facilities are located, and product and battery capacity are allocated. During the operational stage, customers place orders dynamically and real-time demand allocation decisions are made. The paper explores a multi-armed bandit framework for maximizing the cumulative reward realized by the logistics company subject to various capacity constraints and compares it with other strategies. The multi-armed bandit framework provides about 7% more rewards than the second-best strategy when tested on standard test instances. A case study based in Portland Metro Area showed that multi-armed bandits can outperform the second-best strategy by more than 20%.

Evaluasi Strategi E-Commerce sebagai Upaya Penguatan Ekonomi pada Himpunan Pengusaha Pribumi Indonesia

Digitalization is an important need, during the pandemic there is an increase in consumer demand for e-commerce, digital literacy, and delivery requests. This is felt in the Micro, Small and Medium Enterprises of food and beverages through the increasing demand for take away, delivery, and e-commerce sales. The understanding of Micro, Small and Medium Enterprises actors on technology, limited online marketing, production processes, and online market access are still considered not optimal enough. On the other hand, consumers feel insecure in conducting digital transactions. The production sector must foster awareness and build a framework of thinking on business strategies in e-commerce, namely producing competitive products, targeted promotions and creativity in product delivery, while management must provide knowledge of e-commerce law. , regarding trademark protection, electronic payments, obligations and responsibilities of e-commerce actors. The conclusion that the authors get is that the evaluation of the strategy of the Micro, Small and Medium Enterprises of the Indonesian Indigenous Entrepreneurs Association in e-commerce is that there is no proper e-commerce business strategy for Micro, Small, and Medium Enterprises which results in problems or obstacles in supporting business digitization. Micro, Small, and Medium.

TAX RESPONSIBILITY TRANSPARENCY ON E-COMMERCE TRANSACTION ACTIVITIES BYSMALL MEDIUM ENTERPRISE (SME)IN MAKASSAR CITY

This study aims to determine the extent of transparency of e-commerce taxaccountability by SME in the city of Makassar. This study uses a qualitative method with a descriptive qualitative approach by conducting observations and interviews and the informants used in this study are SME actors. Data collection techniques used are data reduction, triangulation, data presentation, data verification and the final conclusion of the study. The results of this study indicate that the transparency of tax accountability on e-commerce activities by SME towards income tax payments means that most SME have fulfilled their tax obligations and some of them have not fulfilled their tax obligations due to the absence of special tax rules for selling online.

Does e-commerce narrow the urban–rural income gap? Evidence from Chinese provinces

PurposeA wide urban–rural income gap exists in China despite the implementation of pro-rural policies. Additionally, with the proliferation of the internet and information technology, the promotion effect of e-commerce on the economy has become apparent. Accordingly, China has been actively encouraging rural households to participate in e-commerce activities. This study aims to examine the effect of e-commerce on the urban–rural income gap.Design/methodology/approachIn the study, linear and panel threshold models were applied to provincial-level panel data from 2002 to 2018.FindingsThe results of the linear model show that e-commerce contributes to narrowing the urban–rural income gap. Moreover, the panel threshold model results show that the narrowing effect exists in regions where the e-commerce intensity is at a medium-to-high level and urbanization is at a relatively low level; otherwise, e-commerce has no effect. In addition, in regions with a relatively high level of public expenditure and education, the income-gap-narrowing effect of e-commerce is more than double.Practical implicationsThe urban–rural income gap can be reduced by promoting e-commerce and reducing the urban–rural divide in e-commerce use.Originality/valueTo determine how varying levels of e-commerce development affect the urban–rural income gap across regions, the study proposes four key causes of the digital divide in e-commerce: e-commerce intensity, public expenditure level, urbanization level and education level and applies the variables as threshold variables to examine the non-linear effect of e-commerce on the income gap.

Design of an Innovative Dashboard for Assessment of Risks that are Specific to E-Commerce Activity

The current global sanitary crisis determined consumers to use e-commerce in all its forms. It has led to an expansion of e-commerce activity and increased associated risk, as companies must adapt quickly to new market conditions and cope with all the risks that arise in such context. This paper aims to identify and assess the relevant risks specific to e-commerce activity and prevent unethical behavior that is often associated with entities operating in this sector by consumers. The review of a significant part of the literature confirms that e-commerce business directly impacts performance and sustainability, being positively associated with organizational innovation. However, investigating the nature and intensity of the risks associated with the operational activity is difficult to assess. It is the main reason for mistrust increasing among many consumers and stakeholders. This research also derives from the fact that it provides real tools to prevent, reduce and even eliminate risks specific to e-commerce activities. Therefore, it could directly contribute to increasing the sustainability of businesses and gaining the trust of consumers regarding online shopping activities. An investigation was conducted in the following logical sequence: identifying the main risk categories and triggers; establishing the link between working hypotheses and the minimum threshold argumentation associated with them. According to the above, it is possible to establish a specific risk function for each risk category. To determine the minimum threshold of risk influence, the unitary risk assessment methodology was applied using a scale of values from 1 to 5, depending on the impact on the operational activity, performance, and sustainability of the e-commerce business. The research methods are specific to quantitative research, the object of the research being a sample of 208 economic entities operating in the e-commerce sector. The statistical analysis regarding the behavior of the most relevant financial indicators was achieved by collecting data from financial reporting and other internal sources. The results serve as an empirical confirmation regarding the specific difficulties encountered in e-commerce activity that need to be solved. Therefore, a dashboard was developed to monitor triggers by risk segments. The designed dashboard is intended to support management in the decision-making process to ensure business sustainability and improve the business model in line with the adopted business strategies. At the same time, with the help of the risk functions developed by risk segments, management could monitor and control the threats to which the operational activity in the online environment is exposed, which will lead to business consolidation and penetration of new online markets.

Determinants of Online Behavior Among Jordanian Consumers: An Empirical Study of OpenSooq

Aim/Purpose: This study identifies the elements that influence intentions to purchase from the most popular Arabic online classifieds platform, OpenSooq.com. Background: Online purchasing has become popular among consumers in the past two decades, with perceived risk and trust playing key roles in consumers’ intention to purchase online. Methodology: A questionnaire survey was conducted of Internet users from three Jordanian districts to investigate how they used the OpenSooq platform in their e-commerce activities. In total, 202 usable responses were collected, and the data were analyzed with PLS-SEM for hypothesis testing and model validation. Contribution: Though online trading is increasingly popular, the factors that impact the behavior of consumers when purchasing high-value products have not been adequately investigated. Therefore, this study examined the factors affecting perceived risk, and the potential impact of privacy concerns on the perceived risk of online smartphone buyers. The study framework can help explore online behavior in various situations to ascertain similarities and differences and probe other aspects of online buying. Findings: Perceived risk negatively correlates with online purchasing behavior and trust. However, privacy concern and perceived risk, transaction security and trust, and trust and online purchasing behavior exhibited positive correlations. Recommendations for Practitioners: Customers can complete and retain online purchases in a range of settings illuminated in this study’s methods and procedures. Moreover, businesses can manage their IT arrangements to make Internet shopping more convenient and build processes for online shopping that allow for engagement, training, and ease of use, thus improving their customers’ online purchasing behavior. Recommendation for Researchers: Given the insight into the understanding and integration of variables including perceived risk, privacy issues, trust, transaction security, and online purchasing behavior, academics can build on the groundwork of this research paradigm to investigate underdeveloped countries, particularly Jordan, further. Impact on Society: Understanding the characteristics that influence online purchasing behavior can help countries realize the full potential of online shopping, particularly the benefits of safe, fast, and low-cost financial transactions without the need for an intermediary. Future Research: Future research can examine the link between online purchase intent, perceived risk, privacy concerns, trust, and transaction security to see if the findings of this study in Jordan can be applied to a broader context in other countries.