Marketplace Platform Research Articles

Professionalization from above in domestic work: Accessing work on marketplace platforms

Domestic work has always been a quintessential example of invisible labour. In this article, I explore how workers build individual visibility on marketplace platforms. Drawing on semi-structured interviews with workers who use different marketplace platforms in Geneva and surrounding areas to find domestic work, I show how visibility on marketplace platforms requires invisible work and a different set of skills, competencies, codes of conduct and client management. I argue that visibility on marketplace platforms can be interpreted as a form of professionalization from above. On one hand, visibility becomes a barrier to entry in finding work. The different requirements for building visibility lead to an institutionalization of standardized skills and practices necessary to access work on the platform. On the other hand, marketplace platforms ignore the formality of the employment relationship and decent wages, which are externalized and managed between workers and the platform clients.

The Urgency of Free Trade Agreements (FTA) and Digital Platforms for MSMEs in Realizing a Sustainable Digital Economy

Free Trade Areas (FTAs) offer significant opportunities for Micro, Small and Medium Enterprises (MSMEs) by providing access to international markets without tariff barriers. However, MSMEs often face challenges such as limited understanding of FTA regulations and difficulties in accessing global markets. This article discusses the need to develop a global digital marketplace platform specifically designed for MSMEs with FTA integration to address these challenges. The study uses a qualitative approach, analyzing relevant journals and articles to identify the needs of MSMEs and how digital platforms can support them in maximizing the benefits of FTAs. The discussion aims to provide solutions to market access limitations and information barriers, contributing to the growth and innovation of MSMEs towards a more inclusive and sustainable digital economy.

Proyek Pemasaran Digital di Sosial Media dan E- Commerce Melalui Pembuatan Content Marketing dan Advertising Campaign Untuk Meningkatkan Brand Awareness Racabel

This study aims to analyze the digital marketing strategies implemented by Racabel, a local fashion accessories brand, to enhance brand awareness through social media and e-commerce platforms. The project includes creating marketing content and paid advertising campaigns across platforms such as Instagram, TikTok, Shopee, and Tokopedia. The strategy focused on content optimization to strengthen audience interaction and increase engagement on social media. The results of these campaigns show a significant increase in followers, engagement rates, and sales conversions on marketplace platforms. With the right content optimization and measurable advertising strategies, Racabel successfully expanded its market reach and improved brand awareness among the target audience.

Pengembangan Moocs Sukses Berbisnis di Marketplace Sebagai Peluang Bisnis Online

Marketplace is a digital platform that is familiar to use when buying and selling online. Marketplaces are crucial in enhancing the quality, marketing, and competitiveness of MSME services and products. There are so many MSMEs in the form of online stores in the marketplace. The existence of a marketplace is beneficial for business owners who are just starting their business on a particular marketplace platform. However, the existence of these online stores is considered not optimal in reaching a very broad market due to the lack of experience and knowledge to make business innovations. Therefore, a training through MOOCs is needed for MSMEs that have online stores incorporated in a marketplace. using the ADDIE Model to acquire prevalent knowledge regarding business strategies in the marketplace, xMOOCs are developed. The developed MOOCs consist of seven materials, namely (1) Basic Concepts of Marketplace, (2) Marketplace Business Models, (3) Preparation for Starting an Online Business in the Marketplace, (4) Selling in the Marketplace, (5) Strategies for Increasing Traffic in the Marketplace, (6) Managing and Developing Stores, and (7) Success Stories of Online Sellers in the Marketplace. The development of MOOCs through research obtains complete information from the design, development, to evaluation stages. These MOOCs can be used massively and effectively in providing useful knowledge for participants to increase sales in the marketplace.

On-Demand and Marketplace Platforms: Gig Care Work Conditions on Two Digital Labour Platform Care Models

With worker shortages and the need for care workers projected to grow, personal care work through digital labour platforms (DLPs) is important to understand. This paper considers DLPs used by gig care workers providing personal care in Ontario, Canada. We recruited 20 women gig care workers for interviews. We examined socio-technical processes such as signing up on platforms, creating profiles, and searching for jobs. We draw on Institutional Ethnography to study the actual work on the following two DLP models: marketplace and on-demand. Marcusean theory provides a lens for the critical examination of DLP care work. We found job inequity between DLPs operating in the homecare sector, compared to DPs used in institutional settings. Jobs had disparate quality between the two platform types. Workers on both DLP types remained vulnerable to fluctuations in demand and had limited social security protections, and both models of DLP institutionalised precarity.

Peran Kepuasan dalam Memediasi Hubungan Kualitas Pelayanan dan Harga pada Loyalitas Pelanggan di E-Commerce Shopee

The development of marketing today is no longer limited to time and space. This condition is caused by technological advances that are very supportive of conducting marketing activities in a wider scope. Both for service and non-service offerings. Along with the growth of demand by consumers through online, market place platforms have emerged that offer various consumer needs. So there is sharp competition among sellers. These conditions require companies to pay attention to the satisfaction felt by consumers which will ultimately create loyal consumers. The company should also consider the different elements that influence it. The focus of this research is to analyze how customer satisfaction mediates the relationship between service quality and price on loyalty. The sample involved was 80 Shopee e-commerce customers. Data testing includes, data quality test, classic assumption test, outlier test, and path analysis. A significant discovery is that satisfaction does not serve as a mediator in the relationship between service quality, price, and customer loyalty.

Enhancing Continuous Usage Intention in E-Commerce Marketplace Platforms: The Effects of Service Quality, Customer Satisfaction, and Trust

E-commerce marketplace platforms have evolved into integral digital intermediaries that shape online transactions in competitive environments. Companies continuously endeavor to improve e-service quality, customer satisfaction, and e-trust to gain a competitive advantage. This study aimed to identify the relationships between e-service quality, customer satisfaction, e-trust, and continuous usage intention in e-commerce marketplace platforms. Moreover, this study examined the roles of customer satisfaction and e-trust as mediators. We estimated nine hypothesized relationships using a structural equation modeling technique. Data from 311 users were used in the data analysis. The results are as follows: First, e-service quality significantly and positively affects customer satisfaction, e-trust, and continuous usage intention. Second, customer satisfaction has a significant and positive impact on e-trust and continuous usage intention. Third, e-trust has a significant and positive impact on continuous usage intention. Finally, both customer satisfaction and e-trust serve as significant mediating factors in the relationship between e-service quality and continuous usage intention. These insights hold strategic importance for e-commerce marketplace platform operators, allowing them to formulate service strategies and policies tailored to enhance user experience, foster trust, and drive continued usage, thereby strengthening their market position and ensuring sustained success.

Patient Perception of Allograft Versus Autograft in ACL Reconstruction Using a Validated Online Survey Marketplace.

Little is known regarding the opinions of the general population on anterior cruciate ligament (ACL) graft options. To evaluate the general population's perception of the use of allografts versus autografts in ACL reconstruction using a previously validated online marketplace platform. A prospective 34-question survey was distributed via the online marketplace. After collecting baseline demographics, participant preferences for ACL reconstruction with an allograft or autograft were established. All respondents completed a preeducation survey, reviewed an evidence-based education sheet, and completed a posteducation survey to assess their understanding. Upon completion, participants were asked which graft they would prefer. Participants were then asked if they would be willing to change their preference based on surgeon recommendation. Finally, participants were asked to rank the factors from the education sheet that were most influential. Cross-sectional study. There were 491 participants that completed the survey (mean age, 39.9 years [range, 19-72 years]; 244 male, 241 female, and 6 nonbinary/third-gender participants). Before reading the education sheet, 276 (56%) reported no graft preferences, 146 (30%) preferred autograft, and 69 (14%) preferred allograft. After reading the provided sheet, 226 (46%) participants preferred autograft, 185 (38%) preferred allograft, and 80 (16%) had no preference. The mean score on the preeducation test was 45%, and the mean score on the posteducation test was significantly greater (61%; P < .01). Overall, 345 participants (83.9%) stated they would change their preference for autograft or allograft if their surgeon recommended it. Surgeon preference (n = 330; 67%), educational information provided (n = 117; 24%), and previous knowledge (n = 44; 9%) were the most important factors for making graft selections. The mean ages of the participants selecting each graft type before and after education were as follows: allograft (37.8 ± 10.1 vs 40.6 ± 11.8 years; P = .05), autograft (38 ± 11.5 vs 39.5 ± 10.1 years; P = .21), and no preference (41.5 ± 11.2 vs 39.4 ± 11.8 years; P = .16). Education resulted in a greater number of individuals' reporting a preference in graft type (either allograft or autograft) compared with preinformation questioning. In addition, 83.9% of the participants were willing to switch their graft choice if recommended by their surgeon.

Analisis Yuridis tentang Perlindungan Hak Merek dalam Era Digital: Studi Kasus tentang Pelanggaran Hak Merek di Platform Marketplace Shopee

Brand rights are an important asset for a company because a brand reflects the identity and reputation of a product or service in the eyes of consumers. Protection of brand rights not only protects brand owners from unauthorized use by other parties but also protects consumers from counterfeit products that can harm them financially and health. The purpose of this writing is to find out how the Juridical Analysis of Brand Rights Protection in the Digital Era: Case Study of Brand Rights Violations on the Shopee Marketplace Platform. Normative juridical research methods. The research results show that brand rights protection in the digital era requires a comprehensive and adaptive approach to technological developments. Shopee as one of the main marketplace platforms in Indonesia has made various efforts to protect brand rights, but there are still challenges that must be overcome. Through increased regulation, consumer education, and the use of advanced technology, brand rights protection can be improved to support a healthy and fair digital trade ecosystem.

Implementasi Marketing Mix Di Showroom Desata Used Car Dalam Menyusun Strategi Pemasaran

This research aims to understand the marketing strategy implemented by Desata Used Car Showroom in Gresik, East Java, which uses qualitative methods. The focus of the research is on the meaning and in-depth interpretation of human behavior and social phenomena. The research location is at Showroom Desata Used Car with two main informants: RDC (owner) and AF (inspector and marketing). Primary data was collected through observation and discussion forums, while secondary data was obtained from previous studies. Data analysis was conducted using the Miles and Huberman model which includes data reduction, data presentation, and conclusion drawing. The results showed that Desata Used Car has implemented a Marketing Mix strategy consisting of product, price, location, and promotion. The product strategy focuses on diversity to meet changing market interests, while the price strategy is adjusted to the condition of the car units being sold. Although the location of the showroom is not considered important by the owner, marketplace platforms such as OLX play an important role in reaching consumers. Promotion strategies are carried out through social media and marketplaces to increase sales. The conclusion of the study indicates that product and promotion strategies have a significant influence on increasing sales. The recommendation for Desata Used Car is to try a more detailed Marketing Mix strategy, such as 7P or 11P, to optimize their marketing efforts.

USE OF CONSUMER DATA FOR BEHAVIOURAL ADVERTISING WITHIN MARKETPLACE PLATFORMS

Advertising plays an important role in consumer market, as it can awaken previously non-existent needs in the consumer and, due to its too much economic potential, has encouraged the creation and use of various engagement strategies. Some marketplace platforms store consumers’ data without proper consent and uses them for the development of advertising according to their behavior. Thus, the issue is based on the absence of regulation regarding such advertising strategy in the Brazilian legal system, since this conduct may violate the privacy of consumers, besides enabling a disproportionate advantage over other suppliers. It seeks to demonstrate what are the legal limits for the development of this practice, as well as to relate the Law of Consumer Relations to the Competition Law, since behavioral advertising unbalances the use of data allowing a non-egalitarian development of the trading system. Therefore, the methodological procedures used for this analysis consist of applied research, with a qualitative and hypothetical-deductive approach and descriptive objective, given to socioeconomic applicability. It is concluded, in view of this, that although behavioral advertising does not yet have a specific regulation in the Brazilian consumer microsystem, when the collection of data is not expressly authorized by consumers, this conduct can be considered abusive, based on Article 39 of the CDC, due to the violation of consumer privacy and the configuration of unfair competition.

Improving Marketing Skills Through Marketplace Platform Training for the Sunday Pahing Women's Group of Wotawati Village, Gunungkidul, Yogyakarta

Improving Marketing Skills Through Marketplace Platform Training for the Sunday Pahing Women's Group of Wotawati Village, Gunungkidul, Yogyakarta

Does the Platform clean the Cleaners?

The paper presents the main findings of an exploratory study concerning the platformization of “dirty jobs” – specifically, cleaning work – in Italy, focusing on the Yoopies.it marketplace platform. Cleaning activity is inherently dirty work: an occupation that is likely to be perceived as disgusting or degrading and that has strong gender and ethnic connotations in Italy. Invisibility is ideal for this type of service, but what happens when the platform contributes to the visibility of dirty workers? Our main expectation is that marketplace platforms reproduce the historically gendered and racialized nature of domestic work, which is present offline. We selected and analyzed the content of 50 cleaner profiles in Bologna, Florence, Milan, and Rome for a total of 200 profiles within the Yoopies.it platform. The article shows that the platform does reproduce the historically gendered nature of cleaning work. Simultaneously, two further main findings emerge from our empirical analysis: 1) the platform creates new barriers to access to work, especially for migrant workers, and 2) the platform acts as a leveler of prices, though downwards.

A new business model in the fine arts realm based on NFT certificates and pearl codes

The potential of Non-Fungible Tokens (NFTs) is highly anticipated, particularly in the realm of visual arts. However, current applications within fine arts often involve trivial processes, such as creating digital versions of artworks or replicas of masterpieces as NFT images, and selling only these NFTs. To unlock the full potential of NFTs, more innovative models are needed. This paper introduces a novel model that establishes a permanent link between an NFT and a physical craft object. This linkage is utilized to orchestrate the trade workflow, ensuring a sustained connection between real and digital artifacts. A distinguishing feature is that they can be sold together or seperately and later reunited with a buyer. The NFT serves as a multifunctional certificate, tracing, and communication token.Through a comprehensive analysis, this paper explores diverse scenarios that may arise in the relationship between the physical object and its digital twin. It presents a systematic and formal description of the proposed model and its various cases, marking a pioneering effort in the field. Noteworthy advantages include the ability to detect plagiarism and fraud. By strategically incorporating stakeholder roles, the model preserves the anonymity of art collectors while extracting valuable information about the ownership of physical artworks. The primary objective is to enhance security in the art trade and foster new business opportunities for stakeholders. As a proof-of-concept, the model was implemented in a real-world scenario on a leading NFT marketplace platform.

Особенности государственного регулирования банковского сектора в России в условиях цифровизации экономики

The article is devoted to the peculiarities of state regulation of the banking sector in the Russian Federation in the context of digitalization of the economy. The article provides an assessment of the level of digitalization of the Russian banking sector, analyzes the possible risks of the digital economy and promising ways to overcome them using SupTech and RegTech technologies. The authors describe the digital ecosystem of the BEAC and its response to possible requirements from the regulator; assessment of the dynamics of the development of projects proposed by the Bank of Russia (Unified Biometric System, Fast Payment System, Digital Client Profile, Marketplace platform), as well as an analysis of the processes of implementation of these projects by Russian banks (using the example of Sberbank PJSC).

The neighborhood advantage: exploring the impact of negotiation costs on transaction satisfaction in local second-hand trading platforms

This study aimed to investigate the determinants of transaction satisfaction and intention to use local second-hand marketplace platforms, focusing on the impact of negotiation costs and the moderating influence of users’ sense of their neighborhood. Building on transaction cost theory, we conceptualized negotiation costs as a multidimensional construct that encompassed economic, performance, time, and psychological costs. Our findings revealed that economic and time costs had a significant negative effect on transaction satisfaction, whereas performance and psychological costs did not exhibit such an impact. Furthermore, transaction satisfaction positively influenced users’ intention to use the platform, thereby mediating the relationship between negotiation costs and intention to use. Additionally, we found that users’ sense of their neighborhood enhanced transaction satisfaction and acted as a moderator, attenuating the negative impact of negotiation costs on satisfaction. For users with a high sense of my neighborhood, the negative impact of economic, performance, and time costs on transaction satisfaction was attenuated. These findings contribute to a deeper understanding of consumer behavior on local second-hand trading platforms and emphasize the importance of social cues in shaping transaction satisfaction and intention to use. The implications of our study offer valuable insights for second-hand platform operators.

Economics of Analytics Services on a Marketplace Platform

Economics of Analytics Services on a Marketplace Platform

Usability and effectiveness of a telehealth artificial-intelligence powered platform: perspectives from patients and providers in a mixed-methods study.

Telemedicine has revolutionized healthcare by significantly enhancing accessibility. However, the acceptability and uptake of tele-medicine is prone to various hindering factors. Studies have shown that both patients and healthcare providers appreciate the aspect of convenience. However, healthcare providers' limited understanding of or inability to leverage the technology involved can be a barrier. With advancements in telemedicine technologies, understanding the viewpoints of patients and providers is crucial for an effective and acceptable telemedicine service. This study reports findings from a usability study of HelixVM™, a telemedicine platform that uses an Artificial Intelligence (AI)-powered triage for healthcare delivery. We discuss aspects of asynchronous medicine, healthcare accessibility, saving time, productivity, data exchange, security, privacy, AI-powered triage and quality of care. To assess the usability and effectiveness of the HelixVM marketplace platform. We recruited 102 patients and 12 providers in a mixed-methods study design involving surveys, and in-depth structured interviews with a subset of the providers only. The survey questionnaires are a modified version of the telehealth utility questionnaire. We analyzed the patient's data using descriptive statistics and factor analysis to identify latent demographic patterns. For the providers data, we used a deductive thematic analysis approach to identify key themes from the interviews and interpreted overall sentiments of the providers for negative, neutral or positive. We also calculated percentages of different responses for the providers from the surveys and interviews, where applicable. Patients: Overall, 86% of patients are satisfied with HelixVM and 89% will use the services again. More than 90% of patients agreed that HelixVM improves access to healthcare, saves time and that the platform is an acceptable way to receive healthcare. Chi-square tests demonstrate statistical significance for all the survey questions (p-value <.001). Results from factor analysis show a higher propensity of female gender in middle age groups whose encounter type is fast-track, self-report medium level of tech-savviness and residing in the South regions of US rate the platform more positively. Providers: Thematic analysis identified themes of asynchronous medicine in terms of accessibility and quality of care, time and productivity, integration within the workflow, data exchange and AI-triage. Certain challenges of incomplete data in patient chart and its impact on provider time are cited. Suggestions for improvements include options to ensure completeness of patient questionnaires and better screening to ensure that only asynchronous 'qualified' patients get through to the provider. Overall, our study findings indicate a positive experience for patients and providers. The use of fast-track prescription is favorable as compared to traditional telemedicine. Some concerns on data completeness, gaps and accuracy exist. Suggestions are provided for improvement. This study adds to the knowledgebase of existing literature and provides for a detailed analysis into the real-world implementation of a telemedicine market-place platform.

Dynamic Pricing for Anomaly Detection in Online Market Places

Abstract: Online marketplaces have become integral parts of e-commerce, providing convenient platforms for buying and selling goods. Detecting fraudulent listings is crucial for maintaining trust and integrity within the marketplace. This project addresses this challenge by proposing a method for fraud detection based on predicting listing prices and identifying discrepancies betweenpredicted and listed prices and also updating prices based on current market conditions.By using machine learning techniques to predict listing prices based on working features,customer demand and market status, the aim is to uncover potentiallyfraudulent listings where the listed price significantly deviates from the predicted value. The project utilizes a dataset containinginformation about listings on the online marketplace, including features such as product category, description, and location, alongwith the listed prices. Data preprocessing techniques are applied to clean and prepare the dataset for analysis. Machine learning al-gorithms, including regression models and natural language pro- cessing techniques for textual data, are employed to predict listingprices based on their features.This also includes some methods offeature engineering. In conclusion, this project presents a novel approach to fraud detection in online marketplaces by leveragingmachine learning techniques for dynamic price prediction. By identifying discrepancies between predicted and listed prices, thedeveloped model effectively detects potentially fraudulent listings. The integration of this model into the marketplace platform enhances security and reliability, fostering a safer and more trustworthy environment for buyers and sellers. Moving forward,further refinement and optimization of the model can lead to evengreater accuracy and effectiveness in fraud detection.

Factors Influencing Consumer Purchase Interest in Shopee and Tokopedia

The phenomena of internet usage, which is anticipated to grow over time, presents a new economic potential for e-commerce. One of the businesses owned by Pondok Modern Gontor, situated in Ponorogo City, East Java, is La Tansa Gontor Book &amp; Stationery Store which currently also using e-commerce. This study aims to investigate the factors that influence consumer purchase interest in e-commerce used by La Tansa. The Theory of Planned Behavior, popularized by Icek Ajzen, is the theory applied in this study. This hypothesis is predicated on three different variables: behavioral attitude, subjective norms, and perceived behavioral control. In this study, a descriptive survey method is combined with a quantitative approach. With a sample size of 358 participants, the population in this study consisted of the 3,416 followers in marketplace platform. Several linear regression tests were employed in this investigation. A total score of 31,038 indicated that the aspects of product price and quality were thought to be very influential. The product pricing component, one of the two variables included in the study, had the most significant impact on consumer purchasing interest. With a 66.3% percentage. Product quality, on the other hand, has a 11.48% influence on consumer purchasing interest. Overall, the factors of product price and product quality jointly affect consumer purchasing interest with a significance of 0.05 and a F computed value of 293,715 F table 3.021, indicating that both factors have an impact.