Marketplace Research Articles

The Local Wisdom of Floating Market Traders in Supporting Honest and Fair Trade

Although in traditional trade practices, unethical practices are increasingly occurring, characterized by a lack of principles of honesty, trustworthiness, and transparency among traders, on the contrary, in traditional river-based trade practices at the Lok Baintan floating market with local wisdom "kuranglabih" can realize these practices. Fairtrade is in line with Islamic values. This research aims to describe trading ethics based on Islamic values in trading practices on the floating market and analyze the integration of Islamic values, local wisdom, and the role of Panyambangan in traditional river-based trade at the Lok Baintan Floating Market. This research uses a qualitative approach with a case study method. Data was collected through observation, interviews, and documentation to record cultural phenomena comprehensively. The research results show that it has contributed significantly to the Banjar people's cultural richness and character formation. As well as making strong river-based trade practices to support honest and fair trade. Local wisdom kuranglabih reflects ethics, kinship, tolerance, justice, mutual respect, and economic aspects. As moral guides, Miners play an essential role in spreading the values of honesty and generosity among traders. Commitment to Islamic values shows how cultural heritage can develop without losing its essence. This research contributes to understanding the importance of local wisdom in building honesty and justice. Research implications include sustainable planning for policymakers to protect traditional river-based markets and efforts to empower traders in developing and maintaining trade in floating markets.

Penerapan Metode Market Place Activity Untuk Meningkatkan Aktivitas dan Hasil Belajar Matematika pada Materi Penyajian Data

This research was motivated by the low level of student activity and learning outcomes in mathematics learning, especially in data presentation material. One way that is expected to increase student activity and learning outcomes is by using the Market Place Activity method. The aim of this research is to describe the increase in student activity and learning outcomes through the application of the Market Place Activity learning method for class V students at SDN Margaluyu. The research method used is Classroom Action Research (PTK) which refers to the Kemmis and Mc model. Tagart, consists of two cycles. The instruments used include teacher performance observation sheets, activity observation sheets, and student learning outcomes. There are a total of 5 essay questions given in each cycle. The subjects of this research were 23 fifth grade students at SDN Margaluyu. Observation results showed an increase in student activity from 43.08% at the beginning to 86.13% in cycle II. The test results also showed an increase, with the percentage of student completion increasing from 22% at the beginning to 100% in the second cycle. Thus, the Market Place Activity method can increase activity and mathematics learning outcomes for class V at SDN Margaluyu, Sukasari District, Sumedang Regency for the 2023/2024 academic year.

Evaluating the influence of digital strategy on the interplay between quality certification and sales performance using data science and machine learning algorithms

In the context of international trade with information asymmetries, business certifications can serve as signals of product quality and reliability for customers and stakeholders. Recognizing this, the current study unbraces “signalling theory” to explore the impact of digital transformation strategy (DTS) on firm’s international quality certification status and sales performance in the global economy. To this end, treating quality certification endogenously, the study relies on bivariate copula regression modeling of 121429 firms’ responses data extracted from the World Bank’s Enterprise Surveys. Consistent with the hypothesized theoretical predictions, the findings revealed that DTS, in the form of website ownership, has a significantly positive impact on sales performance due to increasing firm’s reach, visibility, engagement, conversion, and retention of customers across different channels and touchpoints. As theoretically conjectured, quality certification is also found to positively impact sales performance by enhancing the firm’s reputation, trustworthiness, and attractiveness in the global marketplace. Most importantly, the study found empirical evidence that DTS significantly moderates the relationship between quality certification and sales performance, such that quality certification has a stronger effect on sales performance for firms with a well-defined DTS (web=1) than those without (web=0); leading therefore to the conclusion that DTS can amplify the signal of quality certification by making it more visible, transparent, and consistent across different digital channels and touchpoints. Hence, the study provides valuable empirical and theoretical insights that inform current business practices, future research, and potential policy measures to support business growth, and enhanced competitiveness in the global market place.

The Impact of Market Place Persona Based Neuromarketing on Brand Identity and Consumer Attitude on SDG's

Objective: The objective of this study is to investigate the impact of persona-based neuromarketing on brand identity and consumer attitude in the digital marketplace, with the aim of understanding how neuromarketing principles can enhance consumer engagement and marketing effectiveness. Theoretical Framework: This topic is underpinned by several key concepts and theories. Häusel's Limbic Map, consumer behavior theories, and digital marketing frameworks provide a solid basis for understanding the context of the investigation. Method: The methodology adopted for this research comprises a quantitative approach using structural equation modelling with SmartPLS. Participants included 440 respondents, who were surveyed via Google Forms. The study analyzed variables such as Persona, User Interaction, Information Quality, Ease of Use, Visual Design, Entertainment Value, Customization, and Website Domain. Results and Discussion: The results obtained revealed that consumer perceptions of marketplace personas significantly impact their attitudes, with mediator variables playing a crucial role. The marketplace itself acts as a confounding variable, influencing the relationship between brand persona and consumer engagement. In the discussion, these results are contextualized in light of the theoretical framework, highlighting the importance of aligning branding strategies with target audience motivations. Research Implications: The practical and theoretical implications of this research are discussed, providing insights into how the results can be applied in the field of digital marketing. These implications could encompass e-commerce strategy development, brand management, and consumer engagement tactics. Originality/Value: This study contributes to the literature by applying innovative neuromarketing techniques to the digital marketplace context, offering new insights into consumer behavior. The relevance and value of this research are evidenced by its potential to enhance consumer loyalty and brand equity, aligning with SDG 8 and SDG 9.

Data Mining on Women's Clothing Sales in Market Places with the K-Means Clustering Algorithm

Clothing is a necessity that must be used to cover the body with the main material made of fiber or textile so that the body is completely covered without gaps. Marketplace is an application or website that provides online buying and selling facilities from various sources. On the Shopee marketplace, there are many shops selling women's clothing from various groups and types of clothing. The K-Means Clustering algorithm in the research was applied to make it easier for sellers and buyers to find out what kind of women's clothing is currently selling well in the marketplace by grouping it into 3 clusters, namely the best-selling, best-selling, and least-selling. Research data was obtained from the Shopee marketplace with 3 variables, namely product price, number of sales, and buyer assessments of 4 types of women's clothing in the form of tunics, dresses, abayas/gamis, and shirts totaling 1200 data. The results of this research make it easier for buyers to make decisions and sellers to develop shop ideas.

Marketing mix strategy to increase B2C volume at XXX (Logistic Company)

Purpose: This study develops and analyzes marketing mix strategies to enhance the B2C (business-to-consumer) segment of XXX, a leading logistics and delivery service provider in Indonesia. This study focuses on identifying the challenges in increasing daily shipment volumes and evaluating the effectiveness of current marketing strategies. Research Methodology: This study employs both quantitative and qualitative methods, including surveys, observations, and documentation. Data were collected from 214 respondents using structured questionnaires distributed through Google Forms. Structural Equation Modeling (SEM) with Smart PLS software was utilized to analyze the relationships between the 7Ps of marketing (Product, Price, Place, Promotion, People, Physical Evidence, and Process) and consumer attitudes and purchase intentions Results: The findings indicate that product quality, pricing strategies, promotional activities, and customer service significantly affect consumer satisfaction and brand loyalty. Efficient processes also play a crucial role in shaping consumers’ attitudes and purchase intentions. The study reveals that, while promotional activities and physical evidence have a lesser impact, elements such as products, prices, people, and processes are essential in driving positive consumer attitudes and purchasing decisions. Limitations: This study is limited to XXX operations in Indonesia and focuses solely on the impact of marketing mix elements on consumer attitudes, intentions, and purchase decisions. Future research could explore other logistics companies and encompass a broader geographical focus. Contribution: This study provides practical recommendations for XXX to enhance its market share in the B2C segment.

The value of lending to bellwether firms by institutional investors

We predict that institutional investors in loan syndicates charge bellwether firms lower loan spreads as compensation for having access to private information that can help identify trading opportunities in other firms' public market securities. Consistent with this prediction, when lending to bellwether firms, institutional investors charge a loan premium that is between 17 and 25 bps lower relative to non-bellwether firms, and earn annualized excess returns of 1.5–2.2% from trading in other firms' securities. Findings from cross-sectional analyses reveal that the reduction in loan spread is larger when the value of private information from bellwether firms is higher. Additionally, institutional lenders' excess returns are lower when lending to more transparent bellwether borrowers and when they pay a lower price—as reflected in loan spreads—in exchange for the private information, supporting the notion that the value of private information relates to institutional investors’ trading performance.

Perhitungan Biaya Operasional Kendaraan Angkutan Sampah

Daily human activities, either directly or indirectly, produce waste, both in the form of organic waste and non-organic waste. Rengat City People's Market is a place that has quite large potential in producing waste. The increasing activity of the Rengat City People's Market has resulted in an increase in the amount of waste that must be managed. The amount of waste will affect the amount of vehicle operational costs incurred, so it is necessary to calculate vehicle operational costs by considering the traffic conditions involved and also the transportation time. Vehicle operating costs (BOK) are calculated using the PCI (Pacific Consultants International) method. The distance covered by the arm roll vehicle is 32.6 km/day and the travel time is 1.1 hours at a speed of 29.64 km/hour. Based on the results and discussion of the research, it can be concluded that the cost of transporting Rengat City public market waste using arm roll vehicles is IDR. 21,042.20/m3, in a day the total cost of transporting waste is 168,337.57/day.

Error Correction Model (ECM) For Macroeconomic Factors And LQ45 Stock Price Index

This research aims to test the causal effects of the inflation rate empirically, the Rupiah exchange rate against the United States Dollar, and world crude oil prices on the LQ45 stock price index. In its testing, this research uses the Error Correction Model (ECM) and uses data every month from 2000 to 2022. The research results show that the inflation rate, exchange rate and world gold prices significantly affect the LQ45 stock price index. Furthermore, the inflation rate and exchange rate have a negative influence on the LQ45 index. Not optimal company growth due to high inflation and exchange rates will affect public market share demand, thereby reducing share prices. Then, world crude oil prices positively influenced the LQ45 index. These results support previous research findings that changes in world crude oil prices positively affect stock market prices in developing countries.

Research on overseas communication of China-Chic cosmetics brands from a cross-cultural perspective

Brand communication in overseas markets is a major trend in the development of domestic brands today, especially the cosmetics industry, which has shown strong vitality in overseas markets by creating "China-Chic" characteristic brands. In this paper, cross-cultural perspective was adopted, China-Chic cosmetics brands as the main research object, brand communication in overseas markets as the main research content. The current situation, motivations and difficulties of the overseas communication of China-Chic cosmetics brands was analyzed in the paper, then drew research conclusions. It provided effective guidance and support for how China-Chic cosmetics brands can occupy a place in the international market in the future.

Extent of Compliance of Ordinance Prohibiting the Use of Styrofoam Containers and Regulating the Use of Single Use Plastics in Cabugao Public Market

Extent of Compliance of Ordinance Prohibiting the Use of Styrofoam Containers and Regulating the Use of Single Use Plastics in Cabugao Public Market

Dream vacations of children: exploring key motivations and preferred experiences by drawing

ABSTRACT Children have an important place in the family travel market as they have a strong influence on holiday decisions and their satisfaction can directly affect their parents’ satisfaction and future behavioural intentions. To attract this market and provide child tourists with a satisfying holiday experience, it is important to better understand their motivations and preferences. The aim of this research is to identify children's motivations and preferred destinations and activities in family tourism context. In this qualitative study, where children's voices were taken into account by giving them the opportunity to express their dream family holiday experience ‘drawing’, one of the widely preferred child-friendly techniques to reveal children's perspectives, was used. A total of 103 literate children aged 6–17, residing in five different cities in four regions of Turkey, participated in the research. The data were analyzed using the visual content analysis technique in Maxqda software. The results show that children's family holiday motivations can be divided into four categories: family bonding, escaping and exploring new places, activities and play, rest and relaxation. Additionally, the activities that children seek in destinations include opportunities for group activities, activities related to nature, cultural experiences, and built environment experiences.

Trading Strategy of the Cryptocurrency Market Based on Deep Q-Learning Agents

ABSTRACT As of December 2021, the cryptocurrency market had a market value of over US$270 billion, and over 5,700 types of cryptocurrencies were circulating among 23,000 online exchanges. Reinforcement learning (RL) has been used to identify the optimal trading strategy. However, most RL-based optimal trading strategies adopted in the cryptocurrency market focus on trading one type of cryptocurrency, whereas most traders in the cryptocurrency market often trade multiple cryptocurrencies. Therefore, the present study proposes a method based on deep Q-learning for identifying the optimal trading strategy for multiple cryptocurrencies. The proposed method uses the same training data to train multiple agents repeatedly so that each agent has accumulated learning experiences to improve its prediction of the future market trend and to determine the optimal action. The empirical results obtained with the proposed method are described in the following text. For Ethereum, VeChain, and Ripple, which were considered to have an uptrend, a horizontal trend, and a downtrend, respectively, the annualized rates of return were 725.48%, −14.95%, and − 3.70%, respectively. Regardless of the cryptocurrency market trend, a higher annualized rate of return was achieved when using the proposed method than when using the buy-and-hold strategy.

Moving behind the scenes of public space: the differentiation of market traders’ routinized mobilities

ABSTRACT The politics of public space, such as food and retail markets, has predominantly been studied from place-based perspectives. Most studies focus on the intercultural interactions and social dynamics of inclusion and exclusion as they develop in these places. Less research attention has been devoted, however, to how questions of accessibility and emplacement are intrinsically related to everyday mobilities that surround and come together in public space. By interviewing and physically following market traders who work on the central outdoor market of a town in the Netherlands, this article approaches traders’ mobilities to and away from markets as social practices that involve careful navigation. Three contrasting narratives of mobility-as-navigation are outlined, relating to the stories of the ‘established’, ‘searching’ and ‘roaming’ trader. The findings demonstrate that differences in navigation can be explained by the interdependencies between both individual and material/structural factors. The focus on mobility-as-navigation reveals not only the complex and sometimes contested ways in which people differently move to and away from public space, but it also shows how it leads to differentiated presence on, and access to, these places.

Factors Influencing City Attractiveness of Constantine

Objective: The objective of this research was to elucidate the various urban factors within the city of Constantine that contribute to its attractiveness. Theoretical Framework: The purpose of this study is to identify urban factors that influence personal satisfaction and the city's appeal for residents and non- residents of Constantine. By exploring the different dimensions of the city's image, the authors provide an analytical technique for quantifying the competitive structure of Constantine and its ability to attract peoples. Method: The research is structured in the following manner. Initially, we analyze conventional methods used in place marketing to determine perceptions of place and city branding. Next, we emphasize the urban elements that impact both the satisfaction of residents and the overall appeal of the city to both residents and non-residents. To assess the attractiveness of Constantine, we establish an extensive list of city branding factors derived from the influences on city brand perceptions. The third part of the research involves defining and characterizing the sample, questionnaire, and variables. Finally, we evaluate our findings and discuss the practical implications for place marketers. Results and Discussion: The results of this study indicate that Constantine's ability to attract people is primarily influenced by the environment's quality, level of internationalization, and healthcare quality. Factors such as economic development, touristic capacity, and cultural quality do not significantly contribute to its attractiveness. Moreover, city representation, communication, education quality, safety level, and social services quality have a non-significant negative impact on the city's ability to attract people. Research Implications: The aim of this study is to explore the various aspects that influence metropolitan complacency as they affect the city’s ability to attract peoples such as young entrepreneurs, international business people, highly qualified individuals and tourists. In this way, our study aims to bring some practical implications for local and global location marketing and management. Originality/Value: This study focuses on the Constantine metropolitan area, firstly because no studies have been published so far examining the region in this context, and secondly why Constantine a priority for the Algerian government to promote its economic, cultural and tourism development.

Priority of Low-Income Consumer Behaviour in Visiting Market Places

Priority of Low-Income Consumer Behaviour in Visiting Market Places

Aplikasi Multiplatform Sayur Kita untuk Meningkatkan Efisiensi Pedagang Pasar

Markets are an essential part of the economic ecosystem, often facing various challenges for traders. One of the issues they encounter is the limited time for conducting transactions with both consumers and suppliers. This condition significantly impacts business performance and the quality of stock, influenced by various factors such as weather, time constraints, and the shipping process. This research aims to determine and analyze the development of applications that make buying and selling easier between traders and suppliers online, which can be accessed at any time. This application is integrated into various platforms, both via mobile and web, to enable traders to carry out transactions quickly, effectively and efficiently in terms of time, ef-fort and cost. Apart from that, this research is to facilitate transactions between market traders and suppliers, as well as expand the reach of online markets, especially regarding time con-straints and stock availability. By adopting an integrated multiplatform application develop-ment approach, this research aims to facilitate transactions between market traders and suppli-ers, as well as expand the market reach online, particularly addressing time limitations and stock availability. The development method used is the Waterfall method, which includes re-quirements analysis, system design, implementation, testing, and maintenance. The result of this research is an application called "Sayur Kita," a cross-platform application that helps traders con-duct transactions quickly and efficiently through mobile and web platforms, usable on various devices. Testing was conducted using the black box method, and the results showed that all fea-tures operated as expected. Therefore, this application can help improve the efficiency of market traders in conducting transactions with suppliers and traders online.

Analysis of the current state and forecasts of the development of the residential real estate market of the Republic of Kazakhstan

Purpose of the study – describe the state of the Kazakhstan residential real estate market, identify the features and trends of its development. The authors of the study pay special attention to the analysis of the main indicators characterizing the residential real estate market, as well as the processes taking place in the mortgage lending market. Methodology – the study was conducted using methods of economic and statistical analysis, graphic method, method of description and generalization. The research sources were offi cial statistical materials of the National Bank of Kazakhstan, analytical reviews of consulting companies and fi nancial organizations, the «Krisha.kz» real estate platform and the «Kn.kz» real estate information portal, scientifi c research by Kazakh and foreign authors, as well as materials of scientifi c and practical conferences. Originality / value of the study – the authors carried out a detailed analysis of the state and problems of the residential real estate market of the Republic of Kazakhstan in recent years and gave forecasts for its future development. Findings. According to the results of research and analysis of the current state of the Kazakh residential real estate market in recent years, the authors identifi ed problems and identifi ed current trends in the development of the housing market, as well as forecasts of its future development. The results of the scientifi c article can be useful for real estate agencies, industry experts, as well as the scientifi c community involved in studying the real estate market.

Pembinaan Optimalisasi Peran Perempuan Desa dalam Literasi Inovasi Digital Marketing Guna Menjaga Keberlangsungan Usaha di Desa Kelungkung

The main purpose of this community empowerment activity is to provide guidance on optimising the role of village women in digital marketing innovation literacy to maintain business sustainability in Kelungkung Village. The methods used in this community service activity are tutorial methods, mentoring methods, discussion methods and evaluation. The results achieved from this activity are: (1) The enthusiasm of the PKK of Kelungkung Village for digital marketing innovation literacy activities with various conditions of limited time and age, (2) Can understand and practice how to create a market place account to do online marketing, (3) Can understand material about online marketing strategies, (4) Able to plan a digital marketing business, (5) Able to compile small business performance evaluation management.

Income Analysis Of Broiler Carcass’ Traders in Kupang City Traditional Market

A survey in April 2023 was conducted on broiler chicken carcass’ traders in the Kupang City traditional market which aimed to: find out the income of broiler chicken carcass traders in the Kupang City traditional market. Sampling was carried out through two stages, namely the determination of four traditional markets purposively and the determination of carcass traders as respondents was carried out randomly non-proportionally so that 60 representative respondents were obtained. The data analysis used is revenue analysis. The data was processed using Microsoft Excel 2010. The results of the analysis show that the income of broiler chicken carcass traders in the traditional market of Kupang City is Rp14,698,832 / year or capital productivity in this business is 69.74%. In summary, it can be said that the broiler chicken carcass sales business has been able to generate income for broiler chicken carcass traders. So it is recommended that broiler chicken carcass traders in the traditional market of Kupang City can improve carcass quality management, promote the carcass produced to consumers, and expand marketing networks by using digital marketing through social media so that the business they run can provide greater profits.