ABSTRACT
This study discusses the development of the intellectual property (IP) marketplace model based on mobile location-aware computing. Referring to statistics released by the Directorate General of Intellectual Property, there has been a growth in the number of intellectual property rights (IPR) applications in recent years, even during the Covid-19 pandemic. On the other hand, after IPR protection, the commercialization of IPR is one of the pillars of the IP system. Nevertheless, research institutions such as LIPI/BRIN indicate that the potential for commercializing IPR is still low. Furthermore, the opportunity is that cellular networks have covered almost all parts of Indonesia, and there has been significant growth in smartphone users. The method utilized in this research is prototyping. This research results from an IP marketplace model based on mobile location-aware computing in Indonesia. Using the smartphone user's location, contextual IPR information from the user's location related to IPR will enter their smartphone. The experimental results indicate that the application can display a list of IPR information according to the smartphone user's location. Furthermore, the search feature can forage IPR listing information based on user queries. © 2022 IEEE.
ABSTRACT
Globally, the transportation and logistics sector is facing economic disruptions owing to geopolitical tensions and post-COVID-19 global economic downturns. This disruption places more pressure on transportation companies to review their work methods and processes. Coupling data and model-driven approaches is essential for developing effective and efficient resilience strategies. To address this issue, this study provides an overview of the appearance of simulation in business analytics. However, a thorough review of the literature based on the PRISMA search process allowed us to identify that none of the previous studies could highlight the role or evaluate the hybridization between business analytics and simulation and their joint use in freight transportation. Moreover, this study proposes a collaborative framework based on the intuitionistic fuzzy analytic hierarchy process (IF-AHP) technique to select a business analytics-enabled simulation architecture. This study contributes to the freight transport sector by setting up an updated list of criteria and sub-criteria necessary for business analytics evaluation and enriches the literature by applying the IF-AHP technique to a concrete case of implementing data analytics and simulation. This study also suggests future directions to enrich the academic literature and offers insights to improve the framework for other use cases. © 2023 Elsevier Ltd
ABSTRACT
I consider a market for differentiated products with an online marketplace (the platform) and two types of firms. Marketplace firms sell through the platform. Branded firms sell to consumers directly and, if they choose, through the platform. When a branded firm joins the platform, the firm expands its reach beyond its branded website/physical store(s) to consumers who visit the platform for all their purchases. The drawback is that the firm has to pay a referral fee for all sales on the platform, some of which are from its loyal consumers who would otherwise have purchased from the firm directly. I investigate the role of the firm composition in determining the equilibrium outcome. Interestingly, a higher fraction of branded firms translates into more firms on the platform and intense price competition. In the midst of the COVID-19 pandemic, consumers who used to shop at physical stores turn to the platform. I show that if they do (do not) consider other products, more (fewer) branded firms will join the platform in equilibrium. (PsycInfo Database Record (c) 2023 APA, all rights reserved)
ABSTRACT
The e-marketplace is an online sales platform where there are many types of products marketed from various sellers and sold in the same location. The presence of an e-marketplace is a good opportunity for Micro, Small, and Medium Enterprises (MSMEs) to market their products online. Based on Redseer research, online shopping through e-commerce increased by 18.1% to 98.3 million transactions and there are estimated to be about 12 million new users during the pandemic. There are still many MSMEs that do not use e-marketplace. The purpose of this study is to analyze what factors influence the adoption of e-marketplaces among MSMEs and the influence of e-marketplace usage on performance. The model used in this study was adapted from the Individual-Technology-Organizational-Environment (ITOE) framework. Data collection is done through the dissemination of questionnaires. The analysis method in this study used Partial Least Square-Structural Equation Modeling (PLS-SEM) with SmartPLS 3.0 application. This study uses data taken from 85 MSMEs respondents in Bandung. The results showed that there is a significant positive correlation between individual construct to organizational construct, technology construct has a significant positive correlation to the adoption of e-marketplace while, in this study, the organizational and environmental construct has a positive but insignificant correlation to the adoption of the e-marketplace. The results of the study are also found that the adoption of e-marketplace can affect the performance of MSMEs in Bandung. © 2023 Author(s).
ABSTRACT
E-commerce, which is defined as making commercial transactions in an electronic environment, is becoming widespread with the increase of the use of internet and mobile devices. COVID-19 has greatly changed the consumption habits of individuals, increasing interest in electronic sales channels. Regardless of their size, most companies and retailers are currently looking for ways to engage their customers through electronic channels due to the effect of COVID-19. In this process, the rapidly increasing trend of electronic commerce raises an important question for companies, "In which e-marketplace should we sell?” In this study, five criteria that are important in the choice of the right e-marketplace were determined and eight online alternative e-marketplaces were evaluated. The study was carried out using the neutrosophic fuzzy AHP and EDAS methods, which are multi-criteria decision making techniques, and a framework was established for choosing the right e-commerce marketplace for sellers. © 2022,International Journal of the Analytic Hierarchy Process. All Rights Reserved.
ABSTRACT
The emergence of the e-marketplace and the Pandemic have had both large and small effects, especially on the tourism and hotel sector. Although several studies have analyzed consumer satisfaction, the impact of the Pandemic on consumers' satisfaction in the e-marketplace environment has received much less attention. Therefore, this study aims to investigate consumers' perceived satisfaction with their accommodation during the COVID-19 outbreak by analyzing website information provided by consumers and hotels. This study examines star rating as a moderating effect on consumers' perceived satisfaction and the impact of the Pandemic. This study collected data from the Coupang travel platform, one of Korea's largest e-marketplaces, and 1,018 responses were used. Based on the OLS regression approach, the results state that consumers' perceived satisfaction differs before and during COVID-19. In addition, there is a moderating effect of star rating, and perceived satisfaction tends to decrease as the star rating increase. Furthermore, the volume of reviews and hashtags that consumers and hotels provide positively affect perceived satisfaction. This study provides new insights into the e-marketplace approach, considering website information in the tourism literature from an e-business perspective. © 2022 International Consortium for Electronic Business. All rights reserved.
ABSTRACT
The process of publishing printed books require initial capital investment from publishers, which limits the number of new book titles published in Indonesia. Additionally, publishers lack the funds to publish new titles due to the decline in book sales caused by the Covid-19 pandemic. This research aims to solve funding issues towards book publishing, which is allocated towards printing physical copies. A business analysis was conducted to analyze the feasibility of the business model of the proposed solution and the unique value proposition that is offered to the market. A prototype is also developed as a proof of concept to demonstrate how the proposed solution would take form. The prototype was demonstrated to interviewees to gain feedback for evaluation, which concludes that the proposed solution has promising value to be used by Indonesian publishers. © 2022 ACM.
ABSTRACT
The business climate fluctuates. Do tour operators prefer to thrive by doing nothing or by employing innovative strategies? Defend or Attack? These are the questions that tour operators ponder when recalling their fate in this industry. The primary purpose of the present study is to examine the effect of rural tourism e-marketplace behavior on rural tourism’s dynamic sustainability. Additionally, this study seeks to confirm that the factors of product, price, and time savings serve as the benchmarks for behavior in rural tourism's e-marketplace. The covid-19 outbreak has begun to disrupt the tourism industry as more customers have started to develop loyalty and retention through online mechanisms in higher numbers given the limited circumstances. Although certain rural tourism destinations and attractions found it challenging to integrate into the e-marketplace ecosystem, this domain has emerged as a strategic focus that has impacted the dynamic sustainability of rural tourism in Indonesia. A detailed pathway for the development of the dynamic sustainability of rural tourism model has been created employing advanced quantitative analysis using structural equation modelling (SEM). This research has produced an integrated model that accelerates the region's recovery agenda by promoting local ecosystems through rural tourism e-marketplace behavior. © 2022, Association Res Militaris. All rights reserved.
ABSTRACT
I consider a market for differentiated products with an online marketplace (the platform) and two types of firms. Marketplace firms sell through the platform. Branded firms sell to consumers directly and, if they choose, through the platform. When a branded firm joins the platform, the firm expands its reach beyond its branded website/physical store(s) to consumers who visit the platform for all their purchases. The drawback is that the firm has to pay a referral fee for all sales on the platform, some of which are from its loyal consumers who would otherwise have purchased from the firm directly. I investigate the role of the firm composition in determining the equilibrium outcome. Interestingly, a higher fraction of branded firms translates into more firms on the platform and intense price competition. In the midst of the COVID-19 pandemic, consumers who used to shop at physical stores turn to the platform. I show that if they do (do not) consider other products, more (fewer) branded firms will join the platform in equilibrium.
ABSTRACT
The COVID-19 pandemic has greatly impacted the global economy. Micro, small, and medium enterprises (MSMEs) of Brunei are among those were negatively affected due to the disruption to their supply chain and the enforced social distancing measures by the government. The suspension of dine-in services in Brunei has tremendously increased the demand for food delivery services during the pandemic. This research focuses on the impacts of the pandemic towards MSMEs that were growing rapidly during the outbreak in Brunei. The research focuses on food delivery platforms and digital marketplaces introduced by MSMEs and the government of Brunei. Shifting towards digital mediums was necessary to provide a platform to connect businesses and their consumers. A case study method was carried out to gather relevant insight from selected MSMEs. © 2022 by Nova Science Publishers, Inc.
ABSTRACT
Currently, the Dark Web is one key platform for the online trading of illegal products and services. Analysing the.onion sites hosting marketplaces is of interest for law enforcement and security researchers. This paper presents a study on 123k listings obtained from 6 different Dark Web markets. While most of current works leverage existing datasets, these are outdated and might not contain new products, e.g., those related to the 2020 COVID pandemic. Thus, we build a custom focused crawler to collect the data. Being able to conduct analyses on current data is of considerable importance as these marketplaces continue to change and grow, both in terms of products offered and users. Also, there are several anti-crawling mechanisms being improved, making this task more difficult and, consequently, reducing the amount of data obtained in recent years on these marketplaces. We conduct a data analysis evaluating multiple characteristics regarding the products, sellers, and markets. These characteristics include, among others, the number of sales, existing categories in the markets, the origin of the products and the sellers. Our study sheds light on the products and services being offered in these markets nowadays. Moreover, we have conducted a case study on one particular productive and dynamic drug market, i.e., Cannazon. Our initial goal was to understand its evolution over time, analyzing the variation of products in stock and their price longitudinally. We realized, though, that during the period of study the market suffered a DDoS attack which damaged its reputation and affected users' trust on it, which was a potential reason which lead to the subsequent closure of the market by its operators. Consequently, our study provides insights regarding the last days of operation of such a productive market, and showcases the effectiveness of a potential intervention approach by means of disrupting the service and fostering mistrust. © 2022 IEEE.
ABSTRACT
The COVID-19 pandemic and social distancing entangled physical trading of products and services worldwide. As a result, the Commercial and Industrial Association of Marilia (ACIM) developed and provided businesses with a marketplace platform called "Marilia.Dakki." In this context, knowledge emerged as a resource, and knowledge sharing became a fundamental activity for the marketplace implementation. Thus, the objective of the research was to identify and analyze the influential aspects of knowledge sharing (IAKS) in "Marilia.Dakki." The research is characterized as qualitative and exploratory and used the case study method. Questionnaires were used to acquire data from the 19 subjects involved in the "Marilia.Dakki" operations, as well as an interview with the Director of IT and Innovation. As a result of the research, people, processes, and culture were identified as IAKS, and these aspects, when related, generated nine other IAKS. The researchers concluded that these IAKS found in the research impacted the marketplace adoption, in addition to its maintenance as a collaborative environment, and are of great importance for the survival and development of companies, both during the pandemic and after it.
ABSTRACT
Purpose This paper aims to identify the opportunities in the service marketplace that have arisen because of the changes brought about by the global pandemic (COVID-19). Design/methodology/approach A conceptual methodological approach is used to analyze trends in the history of service research and discuss how articles presented in this issue help scholars and practitioners with planning for opportunities and confronting challenges in the new (post COVID-19) service marketplace. Findings This special issue puts forth six viewpoints and seven research articles that outline opportunities in the new service marketplace from regional and global perspectives. Further, the research articles presented in this issue identify four opportunities for managers to consider when designing services in the new service marketplace;these are labeled as reassurance and fear reduction, rethinking physical space and supply chains for multichannel service delivery, the rise of local and community importance and resilience building to combat customer discourtesy. Practical implications Managers can understand how the pandemic has profoundly and permanently impacted consumers' perceptions and expectations for service delivery and processes. Originality/value This work presents scholars with a historical overview of trends in service research. The challenges posed by the pandemic represent the beginning of a new era in service research thought and practice as many previously held theories and understandings of consumers' marketplace behaviors have permanently changed because of behavioral changes that transpired during governmental mandated lockdowns.
ABSTRACT
Many MSMEs manually close their businesses in today's competition, especially those caused by the COVID19 pandemic, and besides that, the lack of technology implementation is even more aggravating. Like it or not, Micro, Small, and Medium Enterprises (MSMEs) must equip their businesses with the application of technology, and unfortunately, there are still many MSMEs that have not been able to take advantage of the benefits of technological developments. Many companies see this condition as an opportunity;for example, Gojek and Grab partner with MSME players to make it easier to trade their products or services. In this paper, a smartphone application for MSMEs called 'Dagang Yuk Yuk, ' which consists of activities such as Login, Create Order, Input Delivery Location, Select Courier, and Select Payment Method has been proposed. Dagang Yuk Yuk tries to give different ideas for implementing MSME actors where this application is only for MSME players as part of an MSME business unit. This paper discusses the application's design using use case diagrams to describe the business process, while class diagrams model the database design. This application was developed using Arduino studio and MySQL database for database storage. © 2022 IEEE.
ABSTRACT
Pay Later is a new payment method that allows consumers to buy products using installments with a certain deadline. Pay Later have been adopted by various online marketplaces and increased during the COVID-19. This study aims to seek light on Pay Later payment method adoption on business-to-consumer (B2C) online marketplace in Indonesia using the modification of the Technology Acceptance Model (TAM). This study uses the Partial Least Square Structural Equation Modelling (PLS-SEM) analysis method with the help of SmartPLS 3.0 and a survey filled out by 1,141 respondents. The results showed that perceived usefulness, perceived ease of use, social influence, lifestyle compatibility, consumer trust, perceived risk, and debt attitude influence the users' intention to adopt/use Pay Later, and the intention is proven to influence the actual use of Pay Later in B2C online marketplace in Indonesia. © 2021 IEEE.
ABSTRACT
The purpose of the article is to assess the use of consumer lending tools in the context of COVID-19 restrictions and predict the development directions of digital credit innovations in the consumer segment. It has been established that digital innovation in consumer lending is proceeding at a high rate, digital ecosystems, platforms and services are being formed. The qualitative side of the changes is characterized by the creation of new and modernization of traditional lending instruments produced by traditional banks and non-banking organizations. The COVID-19 pandemic has accelerated the scaling of digital technologies in lending. It was revealed that the following became widespread in the Russian market: payment by instalments, card lending, annuity target and non-target loans. Analysis of the dynamics of the consumer lending market showed that: the POS lending market in Russia is stagnating;the most popular way of consumer lending is by instalments;credit cards with instalment options are not widespread;the most innovative products are instalment plans secured by funds in electronic wallets. The development of two promising consumer lending instruments is predicted: the provision of instalments through marketplaces and digital ecosystems, which have the greatest potential for consumer lending and stimulating retail sales;card consumer lending, characterized by the replacement of the material form of instruments with virtual cards in the context of the COVID-19 pandemic.Alternate : Цель статьи – оценить использование инструментов потребительского кредитования в условиях ограничений COVID-19 и спрогнозировать направления развития цифровых кредитных инноваций в потребительском сегменте. Установлено, что цифровая инноватизация в потребительском кредитовании растет быстрыми темпами, формируются цифровые экосистемы, платформы и сервисы. Качественная сторона изменений характеризуется созданием новых и модернизацией традиционных инструментов кредитования, продуцентами которых выступают традиционные банки и небанковские организации. Пандемия COVID-19 ускорила масштабирование цифровых технологий в кредитовании. Выявлено, что на российском рынке получили распространение: рассрочка платежа, карточное кредитование, аннуитетные целевые и нецелевые кредиты. Анализ динамики рынка потребительского кредитования показал, что: рынок POS-кредитования в России стагнирует;наиболее популярным способом потребительского кредитования является рассрочка;кредитные карты с опциями рассрочек не получили широкого распространения;наиболее инновационными продуктами являются рассрочки, обеспеченные средствами на электронных кошельках. Спрогнозировано развитие двух перспективных инструментов потребительского кредитования: предоставление рассрочек через маркетплейсы и цифровые экосистемы, которые обладают наибольшим потенциалом для потребительского кредитования и стимулирования продаж в ритейле;карточное потребительское кредитование, характеризуемое в условиях пандемии COVID-19 замещением материальной формы инструментов виртуальными картами.
ABSTRACT
During the COVID-19 pandemic, we witnessed how sharing of biological and biomedical data facilitated researchers, medical practitioners, and policymakers to tackle the pandemic on a global scale. Despite the growing use of electronic health records (EHRs) by medical practitioners and wearable digital gadgets by individuals, 80% of health and medical data remain unused, adding little value to the work of researchers and medical practitioners. Legislative constraints related to health data sharing, centralized siloed design of traditional data management systems, and most importantly, lack of incentivization models are thought to be the underpinning bottlenecks for sharing health data. With the advent of the General Data Protection Regulation (GDPR) of the European Union (EU) and the development of technologies like blockchain and distributed ledger technologies (DLTs), it is now possible to create a new paradigm of data sharing by changing the incentivization model from current authoritative or altruistic form to a shared economic model where financial incentivization will be the main driver for data sharing. This can be achieved by setting up a digital health data marketplace (DHDM). Here, we review papers that proposed technical models or implemented frameworks that use blockchain-like technologies for health data. We seek to understand and compare different technical challenges associated with implementing and optimizing the DHDM operation outlined in these articles. We also examine legal limitations in the context of the EU and other countries such as the USA to accommodate any compliance requirement for such a marketplace. Last but not least, we review papers that investigated the short-, medium-, and long-term socioeconomic impact of such a marketplace on a wide range of stakeholders.
ABSTRACT
COVID-19 has a changing impact on customers when making purchases. Generally, purchases are made in traditional or modern markets, but because of this pandemic, purchases are made in the e-marketplace. Trust and the information quality of a product determine the perception of how consumers will buy the product in the e-marketplace, even if they will repurchase the product. With the current COVID-19 pandemic currently taking place in this study, researchers are trying to figure out what the factors affect purchase intention in the e-marketplace. The research question in this study is what factors prompted consumers to buy products on the E-Marketplace during the Covid-19 pandemic? The survey sample obtained from this study consisted of 271 respondents using snowball samples. The study used SPSS and SmartPLS statistical calculations. In this study, there are four factors of purchase intention, namely trust, ease of use, information quality, and perceived risk. The results of the statistical calculations show that trust and information quality have a significant effect on buying intent. Meanwhile, ease of use and perceived risk has no considerable impact. In this case, it means that the purchase transaction taking place is practically a necessity to buy, given the confidence in the e-marketplace and the quality information provided by the e-marketplace. © 2021 ACM.
ABSTRACT
In recent years, there have been growing expectations for the creation of new businesses and the improvement of the value of existing services by exchanging data in different fields. Data stored in-house within organizations have become a new source of innovation. While there is a high need for the value creation of data, determining the data value is not an easy task, as there is a wide range of factors to be considered, such as data pricing, acquisition cost, usage value, and update frequency. In this study, we observe communication, such as the sharing of know-hows in data exchange and analysis, and discuss the growing process of a community on the data platform. For the experiment, we focused on the data community in the COVID-19 disaster and used a unique dataset from the data platform Kaggle, which is the data analysis competition service. The results suggest that user actions differ in the discussion of the dataset and analysis. Moreover, providing topics, user participation, and activating actions in the early stages after the dataset is released are essential for forming a data community. We argue that the actions on the data analysis, such as comments and votes, are also crucial for fostering a common understanding of the data value. © 2021 IEEE.
ABSTRACT
Purpose: This research explores anticipated long-term change in the retail and services marketplace, directly arising as a result of the Covid-19 pandemic. Design/methodology/approach: A series of 20 in-depth interviews were conducted with retail and service stakeholders (executives, suppliers and thought-leaders) from across Asia-Pacific (New Zealand and Australia), the United Kingdom, Europe and the United States. Findings: We identify six guiding principles for long-term change in the retail and services sector required to guide future business development and practice, including embedding new ways of working, rethinking the role and purpose of physical space, prioritizing digital elements, integrating employees in community, building agile supply and planning for future turbulence. Originality/value: The Covid-19 pandemic is different from prior disruptive experiences in that it was a sudden shock to business and was collectively experienced by firms, workers and consumers across the globe. This research provides a view of decision-makers’ sensemaking and anticipated changes impacting the future retail and services marketplace. © 2022, Emerald Publishing Limited.