Technology had been developed creatively and innovatively so that it affects buying and selling scheme for products or things. This subject towards the development of online buying and selling ...platform that generally known as Online Marketplace. The presence of the online market place has given much easiness for interaction between the seller and the buyer. This study analyzes the acceptance of online marketplace technology for the Indonesian People which utilizing the method of Technology Acceptance Model (TAM) that had been modified and simplified to observe 3 (three) factors of the acceptance of technology, which is Preceived Usefulness, Preceived Ease of Use and Attitide toward Using. From the 93 (ninety three) respondents that fulfill the criteria of responding to the 14 (fourteen) items of question that was delivered, researcher had been succeded to analyze and conclude that the three of the hypothesis which will be proved, which are : the perceived of usefulness has positive and significant effect to the intention of the people to use the online marketplace, the ease of use is not having positive and significant effect toward the intention of people to use the online market place and that attitude toward using is having a positive and significantly effect toward the intention of the people on using online marketplace. Eventually, author suggests to have a deeper and more comprehensive understanding about the topics of the research, and future researcher, hopefully get more respondent and variables for the research
Traditionally, online retailers have acted as product resellers. Recently, these retailers have also started to serve as online marketplaces by providing a platform to directly connect sellers with ...buyers. Over and above re‐shaping the traditional e‐commerce market, conventional wisdom suggests that this new format will mitigate the double‐marginalization effect and benefit both the intermediary and suppliers through a revenue sharing scheme. However, we find that upstream competition between suppliers critically moderates this possibility. We also find that the interaction of order‐fulfillment costs and upstream competition intensity moderates the selection of an optimal mode for the intermediary. More specifically, when order‐fulfillment costs are large and when the supplier product offerings are similar (i.e., competition intensity is high), the pure reseller mode is the preferred choice; when order‐fulfillment costs are small and the supplier product offerings are highly differentiated (i.e., low competition intensity), the pure marketplace mode is the preferred choice. Finally, the hybrid mode is preferred when order‐fulfillment costs are moderate and suppliers’ products are somewhat similar (i.e., competition intensity is moderate). The intuition behind these results hinges on the trade‐off between transfer of pricing rights and the responsibility for order fulfillment. Our findings not only complement the emerging online marketplace literature but also provide testable empirical questions concerning the relationship and magnitude of different factors steering the mode choice.
This study is current and applicable to the new norm of comprehending the experiences of online consumers on online marketplace pages. This study concentrated on the online shopping experiences and ...reactions of selected faculty members by identifying key observations, and consumer experiences on the web that emphasize browsing, purchasing, and online flow. The researchers used phenomenology as a qualitative research method to collect responses from twenty buyers who varied in consumer experience, gender, and age. The interview was tailored to each participant based on online information and a guide question. Results of the interviews revealed that some faculty members at a local university in Manila find online businesses to be both popular and convenient, while they can readily access online marketplaces. In addition, they purchase frequently using this platform due to the low prices, which is advantageous for them as consumers, although they are wary of con artists and fake buyers/sellers. Meanwhile, the challenges encountered by buyers include product complexities and meet-up changes, as well as the central issues of online trust and social connection. Despite the fact that some product acquisitions are difficult, the study found that appropriateness, price setting, and seller connections kept customers purchasing on the online market. Despite offering valuable insights into the faculty members’ online purchasing experience, this research has a number of limitations. The study is predicated on a twenty-participant qualitative investigation that was conducted primarily in Manila. Consequently, future research should involve populations from different regions. Numerous opportunities exist for future research to build on these findings. The development of a typology of online encounters and circumstances is one of the suggested areas for future study.
In recent years, the rapid development of online marketplaces has given rise not only to co‐opetitive relationships between sellers but also to information asymmetries between online marketplaces and ...sellers. This study studies information sharing in an e‐commerce setting consisting of an online marketplace, an upstream manufacturer and a reseller, where the online marketplace possesses superior demand information, while the manufacturer and reseller engage in a co‐opetitive structure. The reseller procures products from the manufacturer under a wholesale price contract, and both the manufacturer and reseller sell the products through the online marketplace by paying a proportional commission fee. We examine four information‐sharing scenarios: no information sharing (S1), full information sharing (S2), information sharing only with the manufacturer (S3), and information sharing only with the reseller (S4). Our analysis shows that when the intensity of competition between the manufacturer and reseller is relatively low and demand variability is moderate, the online marketplace prefers full information sharing; otherwise, it prefers to share its demand information only with the manufacturer. Moreover, interestingly, we find that the manufacturer always prefers the scenario with full information sharing to the scenario that endows her with an informational advantage over the reseller. In contrast, depending on the competitive intensity and demand variability, the reseller prefers either the scenario in which the online marketplace shares demand information with him only or that in which demand information is shared with the manufacturer only. Furthermore, we find that the equilibrium information‐sharing outcome can be either full information sharing or information sharing only with the manufacturer. The rationale behind these results hinges on the interactions among the signaling cost, efficiency effect, and co‐opetitive relationship between the manufacturer and reseller.
This study extends literature on e-commerce trust and repurchase intentions by exploring the role of swift guanxi and the perceived effectiveness of institutional mechanisms (PEEIM) in the context of ...a Chinese e-marketplace – Taobao. We explore how Taobao’s social media technologies (online reviews and instant messenger) can improve swift guanxi and PEEIM by increasing online interactivity and presence. We find that buyers’ PEEIM negatively moderates trust in online sellers and repurchase intentions. We show that swift guanxi, created by social media’s interactivity and presence, enhances trust, which further increases repurchase intentions. Theoretical and managerial implications and future research directions are discussed.
Purpose: This study aims to analyze sales strategies in online marketplaces using inbound marketing Theoretical framework: Inbound marketing is a way of digital marketing by creating content to ...build brand awareness in consumers. It is expected to make consumers trust and then make product purchases. Businesses and marketers are also advised on how and which techniques can be successful in each process. Design/methodology/approach: The method used in this research is a qualitative approach. The object of this research is in Malang City, and we took a sample of 5 samples of sellers or traders who always enter Top Seller on March 10, 2023. Primary data in this study were obtained from questionnaires or questionnaires and interviews with sellers in the online marketplace in Malang City. Data collection techniques are in the form of observation, interviews, and documentation. Data analysis techniques in a qualitative approach using analysis steps belonging to. Findings: The results are that inbound marketing strategies that include the reach, act, convert, and engage stages can effectively increase sales to sellers in online marketplaces. In the reach stage, social media and high-quality content are key to attracting potential customers. The act stage involves improving the atmosphere of the online store and utilizing online marketplace features. In the convert stage, the shop follows vouchers and saving combos to convert potential customers into actual customers. Finally, the engage stage focuses on maintaining consumer relationships through seller information and repurchase strategies. Research, Practical & Social implications: The study is expected to provide new knowledge about sales improvement strategies for all companies, especially online sales systems through inbound marketing. And this research is still possible to be developed further with a different point of view. Originality/value: No research discusses inbound marketing strategies to increase sales in online marketplaces without paid advertising. This is the originality of this research.
•The disclosure effect of blockchain for secondhand product is examined.•Contributors consign secondhand products to an online platform that resells them.•Pricing strategies differ from the revenue ...sharing portion of the consignment contract.•Horizontal integration is more effective in improving the supply chain’s total profit with the use of blockchain.•A win-win-win outcome can be achieved in a supply chain that sells low-uniqueness products.
We examine the value of blockchain for disclosing secondhand product quality in a supply chain in which contributors consign secondhand products to an online platform that resells them and competes with suppliers of new products. We find that the platform is more likely to provide a uniform (differential) pricing strategy with new products when the revenue sharing portion of the consignment contract is sufficiently low (high). Moreover, surprisingly, without blockchain, the platform prefers moderately perceived and true quality secondhand products, instead of extremely high or low quality. With blockchain, the platform prefers selling low-uniqueness and low-quality (or high-uniqueness and high-quality) secondhand products. Furthermore, we find that with blockchain, horizontal integration is more effective in improving the supply chain’s total profit. A win-win-win outcome can be achieved for the platform, the supplier, and consumers in a supply chain that sells low-uniqueness products.
The purpose of this service activity is to increase knowledge and skills for Micro, Small, and Medium Enterprises (UMKM) actors to be able to do digital marketing through online marketplace ...applications. The service method uses training with partners, namely the UMKM Blessing PKK in Toyomarto Village, Singosari District, Malang Regency. This service evaluation instrument uses a questionnaire. The data analysis technique used a descriptive technique. The result of this community service shows that the training activities carried out are in accordance with the objectives to be achieved, namely providing an understanding of digital marketing and the ability to use online marketplace applications, so as to optimize product marketing for UMKM actors.
The platform model of business has allowed peer-to-peer interactions that expand the universe of opportunity for providers and users of goods and services. In addition to the numerous benefits of the ...platform model, it has been fraught with its share of unanticipated challenges to consumer equality – a critical measure of the social welfare. Grounded in the Power-Responsibility Equilibrium framework, this study examines the most aggressive form of consumer action, filing a lawsuit against the platform company, in response to discrimination experienced by consumers on the platform. An analysis of the five legal cases brought by consumers against Roommates.com, Airbnb, and Uber highlights how current laws may be ineffective in addressing the problem of discrimination in the online marketplace against members of protected categories such as race, sexual orientation, and disability. We provide implications for platform companies and public policy makers for changes to promote equality in the sharing economy.
This study aims to investigate the contributions of online promotional marketing and online reviews as predictors of consumer product demands. Using electronic data from Amazon.com, we attempt to ...predict if online review variables such as valence and volume of reviews, the number of positive and negative reviews, and online promotional marketing variables such as discounts and free deliveries, can influence the demand of electronic products in Amazon.com. A Big Data architecture was developed and Node.JS agents were deployed for scraping the Amazon.com pages using asynchronous Input/Output calls. The completed Web crawling and scraping data-sets were then preprocessed for Neural Network analysis. Our results showed that variables from both online reviews and promotional marketing strategies are important predictors of product demands. Variables in online reviews in general were better predictors as compared to online marketing promotional variables. This study provides important implications for practitioners as they can better understand how online reviews and online promotional marketing can influence product demands. Our empirical contributions include the design of a Big Data architecture that incorporate Neural Network analysis which can used as a platform for future researchers to investigate how Big Data can be used to understand and predict online consumer product demands.
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