Selling Services Research Articles

Research on the Nature of E-commerce and Criticism

E-commerce, the online buying and selling of goods and services, has revolutionized consumer behavior through technological advancements, enabling shopping from any location at any time. An outstanding development in this field is live stream e-commerce, which combines live video streaming with online shopping. This approach allows streamers to showcase products, engage with consumers in real-time, and drive instant sales. By leveraging the widespread use of technology and the appeal of real-time interaction, live stream e-commerce offers a dynamic and convenient shopping experience, eliminating the need for consumers to leave their homes and eliminate time waste. This paper introduces the function, the use and the purpose of streaming services and criticism of purchasing products online.

Perlindungan Hukum Terhadap Konsumen Jasa Titip Online Dalam Hal Terjadinya Cacat Produk

The development of the online shopping system has given rise to new business opportunities, one of which is known as a buying and selling service. One of the risks for users of ticketing services is the danger of defects in products received by users of online ticketing services. Based on this, what is the legal protection form of consumers of online ticketing services in the event of a defect in the product received? And how are online delivery service business actors responsible for losses received by consumers for defective goods products. This research uses a normative type of legal research. There are two forms of legal protection for consumers of online ticketing services in the event of product defects received through online buying and selling services, namely preventive and repressive legal protection which can be seen in the provisions of the UUPK. The responsibility of online delivery service business actors for losses received by consumers for defective goods products, in addition to rights and obligations, there are also responsibilities that must be carried. This responsibility is part of a binding obligation in the activities of running a business.

HOPE IN CONTEMPORARY PHOTOGRAPHY: THE PORTRAIT OF SELLERS OF GOODS AND SERVICES DURING A PANDEMIC

It has been more than 2 years since the covid-19 pandemic struck the world, affecting many aspects ranging from economics to education. As time went on, new habits began to be implemented in people's daily activities, or what is known as the New Normal, such as the obligation to wear masks and wash hands during activities. Departing from here, there is a feeling of longing that arises when communicating and interacting with the community. The mandatory use of masks during the New Normal era makes it difficult to guess the expressions or facial expressions of the other person. The media, which is rife with reports about the spread of covid-19, is also a factor that makes people wary of one another, which makes caring for others not like it used to be. In this case, the worker makes the seller of goods and services an object of work, which is the party that has been negatively affected by the covid-19 pandemic in the economic sector. Portrait photography is a representation of the similarity of human figures in a two-dimensional form. Portrait photography provides a personal indication of both the portrait owner and the portrait subject. Portrait photography is used as a media approach in the cultivation of works for sellers of goods and services in Bukittinggi. With the medium of portrait photography, it brings the artist closer and lets him know how life and problems are felt by sellers of goods and services in Bukittinggi, which are then presented in the form of contemporary photography works. Contemporary photography is part of art photography that is influenced by modernization and is not bound by conventional rules.

Omnichannel services in the presence of customers' valuation uncertainty

AbstractWith the advancement of online‐ordering technology, an increasing number of service providers are transforming to sell services through online channels alongside traditional offline stores. Our paper studies this emerging business model (also known as omnichannel services) in which customers can choose between online and offline ordering. We develop a queueing‐game‐theoretic model to evaluate the performance of omnichannel systems in terms of throughput and social welfare when customers strategically choose their ordering channels in the presence of service valuation uncertainty. We also contrast omnichannel services with single‐channel services, that is, online‐only and offline‐only services. Our analysis yields the following main insights. First, although customers run the risk of making suboptimal decisions and suffering from unexpected losses when they are uncertain about their service valuations, we find that all customers would be better off in expectation with an increasing level of service valuation uncertainty. Second, while social welfare improves as ordering online becomes more convenient in some cases, it (even online customer welfare) can also be worse off in others, especially when the system operates under heavy congestion, because customers' self‐interested channel choice behavior would impose significant negative congestion externalities among customers. Third, despite the fact that omnichannel services provide customers with an additional, more convenient ordering channel option in comparison with conventional offline‐only services, we find that, somewhat surprisingly, adopting omnichannel services does not necessarily guarantee improvement in social welfare. Finally, we discuss two alternative modeling assumptions to demonstrate the robustness of our main insights.

ISSUES AND CHALLENGES OF ELECTRONIC PAYMENT SYSTEMS

An electronic payment is defined as a payment service that utilize information and communications technologies including integrated circuitcard, cryptography and telecommunications networks. E-commerce (electronic commerce) is the buying and selling of goods and services, or the transmitting of funds or data, over an electronic network, primarily the internet. The focus of this paper is to identify and explain the issues and challenges in e-payment system and to examine the problems faced by consumers during e-payments. Electronic payments are financial transactions made without the use of paper documents such as cheques. Electronic payments include debit card, credit card, smart card, e-wallet, e-cash, electronic cheques etc. E-payment systems have received different acceptance level throughout the world; some methods of electronic payments are highly adopted while others are relatively low. This study aimed to identify the issues and challenges of electronic payment systems and offer some solutions to improve the e-payment system quality.

Guaranteed-selling service of online used-car reselling platform: Feasibility and applicability compared with conventional resell and agency resell

Information asymmetry in the used-car market causes inconsistent product quality and price perceptions between buyers and sellers. Third-party reselling platforms with expertise can play a positive role in resolving this asymmetry. An emerging guaranteed selling (GS) service is a reselling service developed on online platforms, where the seller is offered a guaranteed selling duration and purchase price before the transaction begins. During this period, sellers can trade directly with buyers. After this period, the platform purchases the unsold used car at the agreed guaranteed purchase price. Although the GS service can reduce sellers’ trading uncertainty and guarantee revenue, it remains unclear whether this emerging service model is feasible. Hence, we verify the feasibility and optimal pricing policy of the GS model. It generates profits by extending the guaranteed selling duration within a threshold limited by the agency rate. Furthermore, we identify the optimal application scenario for the GS model. It is more profitable than the conventional and agency resell models, considering different consumer preferences. By extending the GS duration and reducing the agency rate within certain limits, the GS model can divert market shares of the conventional resell model and exclude the agency resell model from the platform’s model selection. The interaction between the GS duration and agency rate determines these limits. This study provides valuable insights and managerial guidelines for used-car reselling platforms.

Impulsive buying in buyer–seller service encounters

AbstractThis research examines the impact of buyer–seller similarities (dissimilarities) in Big Five personalities—agreeableness, conscientiousness, extraversion, openness, and neuroticism—on impulsive buying in a dyadic setting. The study further analyzed how the interaction intensity and sensory stimulation mediate the effect of buyer–seller similarities (dissimilarities) on impulsive buying. The authors gathered 1020 dyad data from various beauty salons located in China to achieve research objectives. Difference score analysis was used to compute buyer–seller similarity (dissimilarity), and a variance‐based structural equation modeling technique was applied to analyze the data. The results indicate that the similarity of dyads in agreeableness and openness increases impulsive buying, while similarity in neurotic dyads decreases impulsive buying. Furthermore, interaction intensity mediates the relationships of dyads' similarities—in extraversion and openness—with impulsive buying, while buyers' sensory stimulation mediates the associations of buyer–seller dyads' similarities—in extraversion, neuroticism, and openness—with impulsive buying. Finally, this study provides several implications for marketers in the services industry.

A Current Analysis of E-commerce in Rural India

commerce is now a crucial part of our daily lives. We use e-commerce regularly making it essential for the economic growth of our nation and the world as the whole. E­­commerce is selling of goods and services over the Internet. There has been a significant increase in investment since last year and more is forecast in coming years. Although online business and the government are taking a significant initiative to improve rural e-commerce, there are already several obstacle and challenge that are looming. Increasing Internet and mobile usage demonstrated digital economy but it is unclear how the government and Internet can transform this into a viable internet that utilizes this economic benefit. This article presents the factors driving the growth of Indian e-commerce sector.

Fraud Detection in Financial Transactions Using Credit Card: A Machine Learning Model

Fraud in any financial transactions causes severe loss to both customer as well as the seller. The loss is not confined to financial loss only but it also causes severe dent to the confidence of the customer especially related to shopping platform and the payment instrument used. Nowadays a substantial part of buying and selling of goods and services are taking place using various e commerce platforms. Many customer use credit card as payment instrument. During the payment process, users do exposes the credit card credentials to the payment platform. These payment platforms are vulnerable to fishing and hacking attackers and the payment instrument remains highly susceptible to fraudulent activities. There are two approaches to dealing with this problem. The first step is to identify the fraudulent activities and second step is to prevent any such attempt of fraud. This paper proposes a model based on machine learning algorithms to identify fraudulent attempts by analyzing credit card transactions data set and proposes methods of preventing such fraud activities. The paper also presents the accuracy of this AI model in identifying and preventing fraudulent and mischievous activities.

Efficiency in Operations of NASDAQ Listed Technology Companies from 2011 to 2023

The performance of technology companies listed on NASDAQ significantly impacts larger economic trends. Investors need specific information to navigate market volatility and make informed decisions in an increasingly complex marketplace. Furthermore, amidst the ongoing digital revolution, legislators and regulatory agencies must comprehend the operational dynamics of technology companies to develop frameworks that support innovation while maintaining market stability. Our study assesses the impact on the overall operational efficiency of NASDAQ-listed firms from 2011 to 2023, resulting from the interdependence of critical variables such as selling, general, and administrative expenses (SGA), cost of goods and services sold (COGS), and investments in research and development (R&D). Johansen’s cointegration methodology and pairwise Granger causality tests were employed to unveil long-term relationships, equilibrium adjustments, and causal relationships among the considered variables. The results provide critical insights into the strategic management of operational variables by the listed companies. The economic significance of the results obtained underscores the paramount importance of efficiently managing the cost of goods and services sold to achieve superior operating performance among these leading technology firms.

Penerapan dan Analisis Metode Social Network Analysis untuk Menentukan Rekomendasi Diskon dengan Menggunakan Library NetworkX

At present technology has developed rapidly, especially in industrial technology. Business competition is getting tighter, making people have to find ways to maintain their business. One strategy that can be used is to provide discounts on goods or services sold. This discount can be made based on the company's sales data or other factors. In this case, the company has large sales data. Therefore, a way is needed to process the large sales data, and one efficient way to do this is to use the Social Network Analysis method. This study measures the degree of Information Centrality from the Social Network Analysis method to measure how much the item is purchased, this can be taken into consideration to determine discounts on goods or services sold. This research provides the results of discount recommendation applications that can process large sales data and provide recommendations based on the Social Network Analysis method.

E-COMMERCE IN INTERNATIONAL BUSINESS

Opportunities abound for divers in the global economic arena, but maintaining a steady footing can be difficult. While combining IB with e-commerce will certainly make things more complicated, it will also make trade easier and eliminate a lot of other problems. The free flow of goods, services, and ideas has flourished as a result of the stronger bonds that have been forged between nations through international trade. Worldwide trade encompasses all economic activities that facilitate the exchange of products, services, people, ideas, and technology beyond national borders. Anything a business does inside its own country is considered to be part of its internal operations. International commerce refers to the purchasing and selling of products and services across international borders, whereas international businesses are those that participate in this activity. Such trade procedures can be owned by a private company or the state. Furthermore, the national economy remains stable. A dangerous country can overcome any obstacle. The strategic planning of a multinational firm should be based on the resources, goals, and objectives of the company. Keywords: International business, e-commerce integration, cross-border trade, rapid development, global relationships, flow of goods and services, cross-border allocation, internal business operations, international commerce, economic stability, strategic development.

Dual-blend insight recommendation system for e-commerce recommendations and enhance personalization

E-commerce, short for electronic commerce, refers to the buying and selling of goods and services over the internet. This digital transaction model has revolutionized the way businesses operate and consumers shop. In response to the burgeoning complexity of e-commerce datasets, this work addresses the need for advanced recommendation systems. This work introduces the dual-blend insight recommendation system (DIRS) model for personalized e-commerce recommendation system. The DIRS model involves dataset loading, preprocessing, and feature extraction, enabling training with recurrent neural network (RNN) and Bayesian personalized ranking (BPR) models. Recommendations are generated based on user-defined functions, i.e., location and session, and evaluation metrics such as hit rate (HR) and mean reciprocal rate (MRR) highlight DIRS’s superior performance. The model is evaluated using the Tmall dataset. Results reveal DIRS consistently outperforms alternative algorithms, showcasing its effectiveness in 10k and 20k recommendation sets. This study provides valuable insights into optimizing e-commerce recommendations, emphasizing DIRS as a powerful model for enhancing user experience and engagement.

The inverted U-shaped relationship between information entropy of keyword combinations and sales of digital products: Evidence from China Tmall

As a result of a consumer's online purchase search task, the combination of keywords plays a crucial role in decision-making and sales on e-commerce platforms. The current research aims to examine how the information entropy of keyword combinations influences digital product sales. The data (N = 4755) was collected from Tmall.com, a prominent e-commerce platform in China, and the methods of natural language processing and regression were employed to process data. Our findings demonstrate that there is an inverted U-curve between the information entropy of keyword combinations that contains product name information entropy (PNIE) and brand name information entropy (BNIE) and sales instead of a linear relationship. Furthermore, logistics evaluation (LE) and seller service quality (SSQ) play differentiated moderating effects on the inverted U-curve relationship leading to various movement of turning points and shape changes of steepness or flatness. These findings contribute to understanding sales from the viewpoint of information entropy and providing compelling guidance for e-commerce enterprises on keyword advertising bidding, logistics, and service.

ANTECEDENTS OF CONTINUANCE INTENTION IN USERS OF THE SHOPEE ONLINE SHOPPING APPLICATION IN SAMARINDA

The rapid advancement of technology has brought significant changes to human lifestyles, including in Indonesia, which is open to new technologies. This article discusses the impact of technology, particularly e-commerce, on society and industry. E-commerce, which involves the buying and selling of goods and services through electronic systems, has transformed shopping patterns from conventional to modern. This research focuses on the Shopee application, one of the leading e-commerce platforms in Indonesia. Factors influencing the intention to continue using Shopee (Continuance Intention) include perceived ease of use, perceived enjoyment, personal innovativeness, e-trust, and attitude. By analyzing these factors, this research aims to understand how Shopee can enhance customer loyalty in Samarinda. The analysis used SEM or AMOS software version 5.0, with a sample of 133 respondents.

Tackling the Beast – How to Assess Scope 3 Emissions

The transparent and valid measurement of Scope 3 emissions (indirectly caused emissions upstream and downstream) represents one of the greatest challenges for companies during their sustainable transformation. In order to assess the current performance of a company and to derive the necessary action steps, it is essential to have the best possible knowledge of the current emissions. However, especially in the area of Scope 3, companies are dependent on external information and are not in a position to independently determine the ecological footprints of upstream purchased materials, products and services and the downstream emissions caused by products and services sold. This publication provides an overview of current main challenges and complexities deriving from the assessment of Scope 3 emissions and highlights the most suitable approaches to achieve best possible results.

Digital Emporium

Abstract: E-commerce, an integral facet of modern business, facilitates the buying and selling of goods and services over electronic networks, particularly the internet. This paradigm shift in commerce has transformed traditional business models, witnessing remarkable global growth. In India, e-commerce has flourished with the proliferation of internet usage, especially among startups embracing it as a distinctive business model. Despite its widespread adoption, e-commerce remains underexplored. This research endeavors to delineate the e-commerce landscape, analyzing trends and key variables pivotal for success. Additionally, the study examines user preferences and purchasing behaviors across various e-commerce platforms, including JD, Taobao, Pinduoduo, and Tmall, aiming to enhance marketing efficiency through understanding consumer tendencies and motivations. Through empirical analysis and feedback collection, the study elucidates the diverse preferences of consumers across different platforms, shedding light on factors influencing platform choice, such as product category, age, and gender. Ultimately, this research seeks to contribute to a deeper understanding of e-commerce dynamics and its implications for businesses and consumers alike.

Consumer Behavior of Potato Donuts in Malang, Indonesia: An Extended Theory of Planned Behavior (ETPB) Approach

The potato donut industry has experienced a decline in revenue, compounded by consumer complaints regarding service quality post-COVID-19. Understanding consumer behavior and seller service standards is crucial for enhancing purchasing decisions. This study aims to investigate the influence of attitude towards behavior, subjective norms, perceived behavioral control, and service quality on purchase intention for potato donuts, as well as the impact of service quality and behavioral control on purchase decisions, and the pivotal role of purchase intention therein. A sample of 70 respondents aged 15-55 participated, with primary data collection conducted via online questionnaires distributed through Google Forms in November 2023. Structural equation modeling (SEM) analysis performed using WarpPLS 8.0 software revealed that attitudes towards behavior, subjective norms, and perceived behavioral control positively and significantly influenced purchase intention for potato donuts, while service quality yielded no significant effect. Neither perceived behavioral control nor service quality exerted influence on purchase decisions for potato donuts. Notably, purchase intention emerged as a highly significant determinant of purchase decisions.

MANAGING VALUE-ADDED TAX ISSUES IN VILLAGE BUDGET EXECUTION

In administering the Village Budget, one of the village treasurer's obligations is compliance with the tax obligations, including value-added tax (VAT). The concept of VAT collection by the village treasurer differs from the general mechanism where sellers of goods or services confirmed as taxable entrepreneurs are VAT collectors. The village treasurer's mechanism for collecting VAT is unique; the village treasurer requests a bill that includes the amount of VAT owed from the partner taxable entrepreneurs. Village treasurer compliance in carrying out tax obligations still needs to improve. From previous research, the factors influencing village treasurer tax compliance are low awareness and level of tax knowledge and the assumption that taxes are complicated. By using the qualitative descriptive approach, this study aims to explain how to manage finances, especially in collecting VAT, depositing VAT payable that has been collected, and reporting VAT. This study reveals that VAT administration is more straightforward than some village treasurers assume.

Culinary Tourism in Kutawaringin (Bandung): Structural Relationship Between Food Quality, Tourist Perceptions, And Culinary Tourism Satisfaction

This study assessed tourist satisfaction with culinary tourism in Kutawaringin District, Bandung Regency. A quantitative-descriptive approach was used to reveal tourist perceptions and the impact of food quality on culinary tourism satisfaction in Kutawaringin District, Bandung Regency. Data was collected through interviews, observation, and documentation. A random sample of tourists completed the questionnaire. The study sample consisted of 50 individuals who participated in in-depth interviews. It is important to note that these evaluations are based solely on objective criteria and do not include subjective opinions. Lemon tea was found to be the most popular food item, while tourists rated the seller's service highest at 74%. Food hygiene received a rating of 71%; food tastes 60%; affordability of the seller's location 57%; food quality and promotion 46%; and food prices 40%, all with a fair assessment. Collaboration is necessary among tourism managers and stakeholders to make Kutawaringin a supporting factor for the Bandung Destination. This requires consideration of various factors, including food prices, packaging quality, and promotion.