People Buy Research Articles

Measurement Framework (Metrics & Process) for Trust on a Marketplace

Online marketplaces have revolutionized the way people buy and sell goods and services. However, the success of these platforms hinges significantly on the level of trust they establish among users. Trust plays a pivotal role in facilitating transactions, fostering long-term relationships, and ensuring the sustainability of online marketplaces. This research paper aims to explore the importance of trust in online marketplaces and proposes frameworks for measuring trust to enhance platform performance and user satisfaction. Through an analysis of existing literature, case studies, and empirical evidence, this paper elucidates the multifaceted nature of trust and offers insights into the development and implementation of trust measurement frameworks. By understanding and effectively measuring trust, online marketplaces can foster a conducive environment for commerce, thereby maximizing their potential for growth and success.

The Effect of E-commerce on People's Buying Interest in Traditional Markets

Background: Traditional markets are essential to many people for shopping and fulfilling their daily needs is necessary to study people’s purchase behavior, especially regarding purchase interest, in an era of increasingly advanced technological developments including e-commerce. Objective: This study aims to show the effect of e-commerce on people’s purchase interest in traditional markets. Method: This type of study is descriptive and quantitative, with primary and secondary data sources. The primary data is taken from questionnaires and interviews, while the secondary data is taken from some literatures. The population of the study is the people of Bengkalis Regency, Riau Indonesia in amount of 564,689 people in total. This study used random sampling. The sample measurement technique uses the Slovin approach and obtained a total of 400 respondent and for the data analysis, this study used simple linear regression. Results: The results of the study show that e-commerce positively and significantly affects people’s purchase interest in traditional markets. Conclusion: E-commerce positively and significantly affects the purchase interest of the Bengkalis people in traditional markets as much as 66.1% and the rest 33.9% is affected by other factors. Nevertheless, most people only use e-commerce as a catalogue to gain new information about a product, their purchase interest remains mostly buying the product in traditional markets. This study will theoretically enrich the previous existing theories and practically becomes a reference for business-persons to increase people’s purchase interest. Keywords: purchase interest; buying interest; purchase intention; e-commerce; traditional market

Social Media and its Impact on Consumers Behavior

One of the most well-liked and often used mediums of communication nowadays is social media. Nowadays, social media is used by people all over the world to communicate with one another. Social media has been used by people in recent years to talk about their experiences. Experiences with a product or service are included here as well. Platform or service. Every day, thousands of people read these product reviews that social media users write, and they have started to have an impact on how people buy things. After discovering the benefits of this platform, businesses have begun to use it to market their goods and services. Today, a wide range of audiences are attracted by social media, which is utilised to sell goods and services in an efficient manner.

Unlocking the Potential of YouTube Marketing Communication: The Effects of YouTube Influencer Attributes on Millennials’ Purchase Intention in Pakistan

Companies can use digital media to promote their goods or services on social media sites like Facebook, Instagram, and YouTube. From various viewpoints, several academics investigate the influence of various social media applications on consumer purchasing behavior from various angles. This study looks at how YouTube ads are used to build brand awareness and image and how they affect people's plans to buy. Respondents in this survey are millennials who live in Multan, Punjab, Pakistan, and the neighboring territories and are 18–34 years old. They were selected using a non-probability sample approach from Multan City and adjacent areas. The smart PLS is used in conjunction with structural equation modeling (SEM) in this work. YouTube ads affect brand awareness and brand image, but they do not affect people's ability to make good decisions. YouTube ads have a significant association with the urge to conduct a transaction. This study did not use brand awareness and brand image as mediators because they had nothing to do with people's buying plans.

Consumerism (A literature Review)

This research highlighted the importance of Consumer psychology to marketers through shading the light on the literature review, as Consumer psychologists look into how the decision-making process, social persuasion, and motivation all play a role in why people buy certain goods and not others. The organization’s survival in the market is linked to studying all the influences surrounding the consumer; as the consumer is the one who directs the marketing activities of the organization.

Stock Price Prediction Based on LSTM in Python

To reduce the risk of people buying and increase the rate of return, applying a suitable model to predict stock prices is necessary. The research applies Long Short Term Memory (LSTM), which is a kind of artificial neural network in machine learning and is also a special kind of RNN. Through studying this model, the memory of LSTM is like human memory, which is composed of short-term memory and long-term accumulation. In this paper, the current data of 2020 and 2021 is to train, and the data from 2017 to 2019 is for testing. The data comes from three companies, GOOGLE, APPLE and AMAZON in the S&P500 index. Meanwhile, Mean Squared Error (MSE) is used for evaluation. Finally, in comparison with the different training times, LSTM presents good applicability, achieving negligible MSE.

An assessment of consumer demand for medicinal plants: A case of Istanbul

Non-wood forest products (NWFPs) are collected or harvested for commercial and medical purposes from forests. These plants can be diversified into wild food plants, medicinal and aromatic plants, bulbous plants, mushrooms, dye plants and honey. The aim of this study is to assess the demand of consumers who buy medicinal plants in Istanbul and to reveal the relationships between the variables affecting the demand. For this purpose, face-to-face interviews were conducted with consumers (n=384) who purchased medicinal plants in 20 randomly selected districts of Istanbul. Descriptive analysis, correlation analysis and Chi-square independence test were used in data analysis. These analyses were carried out with the SPSS 22.0 statistical package program. According to the results, the most demanded medicinal plants are linden, mint and ginger, respectively. People buy medicinal plants mostly for the treatment of respiratory system and digestive system diseases and the demand is generally high in winter and autumn. The most important factor affecting the purchasing preferences of consumers is freshness. The consumers mostly buy the medicinal plants from herbalists. According to the Chi-square analysis findings, there is a significant relationship between the gender of consumers and the purpose of using medicinal plants. In addition, while there was no relationship between gender and price, brand, quality, there was a statistically significant relationship between expiration date and visuality.

Application of Mean-Variance Model in the U.S. Capital Market

Portfolio in stock market is an asset that people buy in the hopes of a return or appreciation, or both. Portfolio investment is not active, unlike direct investment, which means managing it by alone. A portfolio can help people spread risk and decrease risk, because it can minimize the negative impact of the economy. This paper analyzes asset allocation for four different companies. In this paper, three methods of mean-variance analysis, CAPM and FF3F model are used to optimize the portfolio. In addition, this paper will calculate different weights to analyze the maximum return of the portfolio. The results show that in the FF3F model. In the Sharpe ratio portfolio, "POAHY" is the security with the most weight. The portfolio with the highest Sharpe ratio weight in CAPM model is "POAHY". The outcome in this paper benefits the related investors in financial markets.

A green realistic inventory model with preservation technology for deteriorating items under carbon emission

Greening efforts are the steps taken to control the hazardous activities by different factories and to take environment-friendly steps which cause the least harm to nature. People buy products more which are green in nature. In this study, an inventory model is articulated in which demand is reliant on selling price and greening efforts. Here, all unit quantity discount is assumed. The purchasing cost is reliant on order size besides holding cost is reliant on time. By using greening efforts, a retailer can earn more profit. The aim of this study is to find a profit function that is taken to be dependent on greening efforts, cycle time, and selling price. The main aim of this paper is to earn more profit by using preservation technology and by allowing a carbon tax. The deterioration rate cannot be ignored so preservation technology is used here to overcome the effect of worsening. To find the optimal answer, an algorithm is developed. Concavity is shown through 3D graphs. Mathematical examples and sensitivity analysis is also done to validate the results.

COUNTERFEIT PRODUCT DETECTION SYSTEM USING GRAPHICAL QRCODE IN BLOCKCHAIN

Nowadays people buy products through online and even from shops, but could not distinguish which is a counterfeit product and which is a genuine product. There are many famous companies whose product is duplicated and made some changes and are sold in the market, where even the manufacturer get confused with the duplicate product. The customer buys the product and comes to a bad opinion about the company which is completely a negative part on the side of the manufacturer and the seller who sells the product. So in order to overcome this, manufacturers need to generate a graphical Quick response code that will be linked with the blockchain. When there is a usage of a normal Quick response code (QR code) which has a combination of black and white colors it will be easy for the hackers to duplicate the data. So manufacturers need to include a graphical-based QR code where hackers could not duplicate the product which may lead to ink smearing. When they link the Graphical QR code to the blockchain all the data will be stored in the form of blocks and could not change any of the data which is stored in blocks, on the customer side where they could scan the graphical QR code and find whether the Product is genuine or not. For each transaction in the blockchain, aspecific hash value will be generated and this hash when the customer scan needs to match the hash value what the manufacturer who added the block for the product. In this way, the counterfeit product could be eradicated from the market.

Effect of Non-Cash Payments System On People's Buying Interest

Non-cash payments are currently an alternative payment method that is highly favored by some groups of people. The convenience and benefits obtained by using non-cash payments are the reason people make non-cash payments. This is often done in the buying and selling process at malls, including malls in the Tangerang area. The aim of the research is to find out how the influence of non-cash payments on the buying interest of people who are in the mall in the Tangerang area. The method used in this research is descriptive quantitative method. The data analysis technique used is a simple linear regression technique. The results of this study explain that there is a positive and significant effect of non-cash payments on people's buying interest of 87.9%.

Reasons That Lead People to End Up Buying Fake Medicines on the Internet: Qualitative Interview Study.

Many people in the United Kingdom are turning to the internet to obtain prescription-only medicines (POMs). This introduces substantial concerns for patient safety, particularly owing to the risk of buying fake medicines. To help reduce the risks to patient safety, it is important to understand why people buy POMs on the web in the first place. This study aimed to identify why people in the United Kingdom purchase medicines, specifically POMs, from the internet, and their perceptions of risks posed by the availability of fake medicines on the web. Semistructured interviews were conducted with adults from the United Kingdom who had previously purchased medicines on the web. Purposive sampling was adopted using various methods to achieve diversity in participants' experiences and demographics. The recruitment was continued until data saturation was reached. Thematic analysis was employed, with the theory of planned behavior acting as a framework to develop the coding of themes. A total of 20 participants were interviewed. Participants had bought various types of POMs or medicines with the potential to be misused or that required a higher level of medical oversight (eg, antibiotics and controlled medicines). Participants demonstrated awareness of the presence and the risks of fake medicines available on the internet. The factors that influence participants' decision to buy medicines on the web were grouped into themes, including the advantages (avoiding long waiting times, bypassing gatekeepers, availability of medicines, lower costs, convenient process, and privacy), disadvantages (medicine safety concerns, medicine quality concerns, higher costs, web-based payment risks, lack of accountability, and engaging in an illegal behavior) of purchasing medicines on the web, social influencing factors (interactions with health care providers, other consumers' reviews and experiences, word of mouth by friends, and influencers' endorsement), barriers (general barriers and website-specific barriers) and facilitators (facilitators offered by the illegal sellers of medicines, facilitators offered by internet platforms, COVID-19 outbreak as a facilitating condition, and participants' personality) of the purchase, and factors that lead people to trust the web-based sellers of medicines (website features, product appearance, and past experience). In-depth insights into what drives people in the United Kingdom to buy medicines on the web could enable the development of effective and evidence-based public awareness campaigns that warn consumers about the risks of buying fake medicines from the internet. The findings enable researchers to design interventions to minimize the purchasing of POMs on the web. A limitation of this study is that although the interviews were in-depth and data saturation was reached, the findings may not be generalizable, as this was a qualitative study. However, the theory of planned behavior, which informed the analysis, has well-established guidelines for developing a questionnaire for a future quantitative study.

E-Commerce of China: its Reasons for Success and Current Development Trends

E-commerce is one of the highly digitalized industries, which quickly changes the way people buy products and use companies’ services. There are many countries in the world economy now that are trying to adapt informational and communication technologies in various industries to stay competitive and use nowadays’ benefits of the Internet, etc. The article considers the e-commerce in China – global leader in the industry. The content of the Chinese e-commerce development foundation, as well as its characteristic features and trends are described. Moreover, recommendations on e-commerce development are given, in particular, for the Republic of Belarus. The novelty of the research conducted lies in the fact that it is the first in the Belarusian practice, which is based on a large array of factual data, and reflects comprehensive analysis of the current state of the Chinese e-commerce, the prerequisites for its rapid development over the past decade and its prospects in the foreseeable future.

The Future of Retail Chains in the E-commerce Era in Saudi Arabia

Retail has always been one of the biggest industries worldwide, with different kinds of products, because people buy in retail every day. Since Amazon started drawing the first outline of ecommerce, online shopping kept growing more and more, and many bigger retailers considered the competition of e-commerce versus the one of physical stores. Retailers are constantly monitoring the change of customers’ preferences in shopping to predict the behavior of upcoming generations, to know where and how the new competition will be. When COVID-19 hit in 2020, this rate of growth increased aggressively, especially in some products categories like food delivery, as online shopping was the only way to do shopping with all the movement restrictions at that time. The aims of this study are (1) to find out the frequency of buying online, (2) to know if COVID-19 influenced buying behaviors, (3) to forecast the market size of e-commerce in 2030. For data gathering required by the researcher, a questionnaire was prepared by himself as an effective tool. The questionnaire was distributed to the study sample through Google Drive to their emails. The social package SPSS was used for data analysis to obtain the results of this study. As results, the category with the highest buying frequency was food and the one with the lowest was automobile spare parts. Moreover, in all categories, Covid-19 had a significant effect on customers’ buying frequency online from lower to higher frequency rate. By analyzing the historical data, the predicted market size of Saudi would reach up to 45B SAR, which is around 10% of the market size. More improvements can be done to the categories with high buying frequency and many investments can be initiated to the low-buying frequency categories as it will also grow one day online.

ANALISIS PENGARUH MEDIA SOSIAL TERHADAP MIANT BELI PRODUK UMKM KABUPATEN PURWOREJO DI YODOTUKU.COM

The rapid development of information and communication technology has changed the pattern of people's buying culture from offline to online. Finally, the product marketing strategy must also follow changes in the community, including the marketing of MSME products in Purworejo Regency. This research was conducted to find out more about the effect of social media promotion and electronic word of mouth (e-WoM) on buying interest of MSME products in Purworejo Regency at Yodotuku.com, either partially or simultaneously. The number of samples is 112 respondents selected by purposive sampling method. The instrument test uses validity and reliability tests. Data analysis technique using multiple linear regression.The results of the study show that social media promotion has a positive but not significant effect on the buying interest of MSME products in Purworejo Regency at Yodotuku.com. This is shown through the results of the t test of 0.329 (> 0.05). While e-WoM is known to have a significance value of 0.000 (<0.05), has a positive effect on consumer buying interest. Based on the test results, the calculated f is greater than the value of f table (64.353 > 3.08), it is known that simultaneously there is a positive and significant influence between social media promotion and e-WoM �on the buying interest of UMKM Purworejo Regency products at Yodotuku.com. Therefore promotion on social media in the form of positive testimonials and reviews from consumers will be more optimal to influence buying interest for MSME products.

Why do Consumers Adopt E-Grocery? A Systematic Literature Review

Electronic grocery (e-grocery) is currently the most emerging subset of online shopping. Every week, 28.3% of people buy grocery products online. The value of e-grocery sales in Indonesia is predicted to continue to rise and will reach around US $5.6 trillion by 2026. This indicates that e-grocery is an important potential market for quick-commerce online shopping services in the future. A Systematic Literature Review research in the field of e-grocery has existed before. A Systematic Literature Review research in the field of e-grocery has existed before. However, to date, the authors have not found SLR research that focuses on exploring the driving factors of e-grocery adoption. To bridge the gap, the purpose of this study is to provide a comprehensive overview of the factors that influence consumers to adopt e-grocery or online grocery shopping. The method used was Systematic Literature Review. The process of searching and selecting scientific articles through Scopus with various criteria resulted in 25 primary studies. The results showed that the most common driving factors found among the 25 studies were Perceived Ease of Use and Perceived Usefulness adapted from TAM theory, delivery time factor, and demographic factors such as age, gender, income, and education level. Despite the numerous factors mentioned in the primary studies, no factor has been able to represent the phenomenon of deals and promotions that are often found in various e-commerce applications, including e-grocery service providers.

URBAN GARDENING IN BHARATPUR METROPOLITAN, NEPAL

Urban gardening consists of various organic productions, environmental protection, and medicinal supply as well, in a limited space. This study was done to know the status of production from such gardening in Bharatpur Metropolitan-10, Nepal. First-hand data from 101 respondents using random sampling was piloted to recognize the strengths and weaknesses of various aspects related to urban gardening. It is observed that a large number of urban householders have created small gardens for ornamental, medicinal, fruits, and vegetables in their households. Maximum householders have 155 to 190 m2 areas for their home gardens, where the presence of seasonal flowers as outdoor flowers, aloe vera as an indoor plant, lime as a fruit, and holy basil as a medicinal plant are found at their maximum. Farmyard manure as fertilizer and inorganic pesticides are used most often where people invest NRs. 2000 to 3000 for fertilizer and less than NRs. 1000 for pesticides per year. The majorities of people buy or use old home seeds and use clay pots for cultivation. It was identified that most people grow 40 to 60% of the required vegetables in their own home gardens, where most of them spend about 1 hour per day on garden work.

Goods That People Buy But Wish Did Not Exist

Goods That People Buy But Wish Did Not Exist

Users' Behavior on Diverse Toothpaste Brands in Bangladesh: An Experimental Survey on Dhaka City

Purpose: In the modern marketing age, consumers are seen as the king or monarch of the market because the company’s offerings are designed, created, delivered, and communicated according to the target market's likes, preferences, tastes, and choices. Therefore, marketers must realize and know about the consumers’ purchasing behavior, attitudes, and roles in the marketplace. It necessitates an understanding of the factors influencing users' behavior when purchasing and using a product or service and their choice of a brand. Methodology: Using 5 points Likert Scale, the sample number is 250 for five brands, with 50 comprising ten features comprising order to preserve uniformity. Furthermore, 30 responders offered their thoughts on the pretesting questions. SPSS 24.0 version has been adopted to analyze the variables. ANOVA assesses means differences in various variables for distinct toothpaste brands to test for relevance. Duncan's Multiple Range Test was employed to evaluate, contrast, and determine the range between several average scores. The assessment of a user's behaviors is taken into consideration by Mertin Fishbein's Multi-attribute Attitude Model. Findings: Toothpaste is a fast-moving consumer good as toiletries items that people buy and use regularly. In the study, the researcher emphasizes the user’s behavior towards different toothpaste brands with their lifestyle. Here ten of the nineteen attributes are identified as contributing variables that encourage customers to choose a specific brand of toothpaste from the five available toothpastes. According to the study, Mediplus has the best brand image from customers among the five preferred toothpaste brands, while Colgate has the lowest. Practical Implications: The toothpaste businesses and organizations can utilize the investigation’s results as a benchmark for improving their goods and developing market strategies. Originality: We conducted this study on our own, without using any materials from other sources. This would bring fresh insights to Bangladesh's toothpaste industry, which focuses on different brands, brand associations, product features, and user behavior. Limitations: To promote more reliable research in the future, the study's many constraints in the field of research should be addressed. Just 250 customers from various parts of Dhaka City were used as participants in the research; there may have been more. More studies may be carried out to evaluate executives' opinions of the advantages and dangers associated with various brands for each attribute of toothpaste compared to other categories.

Barbies, Ties, and High Heels: Goods That People Buy But Wish Did Not Exist

Barbies, Ties, and High Heels: Goods That People Buy But Wish Did Not Exist