People Buy Research Articles

A Study on Online Purchasing Behavior in JD.com

Online shopping or purchasing is a human activity where people buy goods, products, or services through the Internet. In this time, individuals are increasingly transitioning to online shopping or purchasing alongside the development of different websites (Tsai, Janice, & Egelman, 2001). The objective of this research is to explore the characteristics of online purchasing behaviors, factors affecting these behaviors, and the extent of the impact of these factors in JD.com, which is one of China’s biggest and largest online purchasing platforms (JD.com, n.d.). The respondents of this research were individuals who are customers of JD.com or individuals who have the experiences or intention of purchasing on the same platform. The qualitative analysis of this research reveals that four characteristics of online purchasing behavior in the case of JD.com are present. First, the customers of online purchasing in JD.com pay more attention to the quality of the goods. Second, the price is the most important factor. The results of the multiple linear regression model and principal component analysis show that there are three indirect factors of online purchasing behaviors. These are the affect factors, social factors, and perceived risk factors. These three factors influence online purchasing behaviors through influencing online purchasing intention. Moreover, there are also three direct factors of online purchasing behaviors. These are the habits, facilitating conditions, and online purchasing intentions. Further, results show that the influences of all six factors are significant. In conclusion, JD.com and other online shopping platforms can use the result of this research and pay attention to the six factors affecting online purchasing behaviors to improve a company’s services and increase the number of its customers.

ІДЕНТИФІКАЦІЇ ПОТЕНЦІЙНОГО СПОЖИВАЧА ПРОДУКЦІЇ РИНКУ ЕЛЕКТРОННОЇ КОМЕРЦІЇ МЕТОДОМ ГРАДІЄНТНОГО БУСТІНГУ

E-commerce is an integral part of the developed economy in the country. Small and large businesses can sell their products or services online, meeting the needs of consumers anywhere and anytime. The development of e-commerce is impossible without the knowledge of consumer behavior. Data has become one of the world's most valuable resources due to the rapid digital transformation of global industries. Collecting customer data has become a top priority for businesses. As more and more advanced technologies are developed to collect and analyze customer data, more companies are able to contextualize, retrieve and monetize information from them. Knowing why people buy, companies can grow more effectively in e-commerce and do so strategically, knowing what next steps to take. From consumer behavior to predictive analytics, companies regularly collect, store and analyze large amounts of quantitative and qualitative data about their consumer base on a daily basis. E-commerce services are one of the areas where new data is collected every day. Therefore, it seems necessary to use data analysis methods in this area. User interactions with e-commerce platforms are complex patterns of behavior that, if analyzed, can enable businesses to understand consumer needs. Consumer buying behavior is influenced by many factors, and different consumer demands lead to large differences in consumer buying behavior. To predict consumer buying behavior it is necessary to determine the hidden characteristics of data in the array of information left by users on the e-commerce platform, and then to determine the desire of future users to buy on the e-commerce platform. The article considers an example of application of the gradient boosting algorithm for consumer identification in the e-commerce market.

To Study the Conceptual Framework on Consumer Satisfaction with Special Refrence to Domino’s

This research is based on customers perception on Domino’s pizza and to test the quality of service.9 The fast food industry of India is experiencing phenomenal growth and is one of the fastest growing sectors in the country, Further, on the back of changing and busy lifestyle, fast emerging middle class population and the industry will continue to grow at a pace in coming years.6 In the developed countries and continues to expand there and in many other industrial countries in the coming years.10 But some of the most rapid growth is occurring in the developing world; where fast food industries are changing the way people eat. People buy fast food because it is cheap, easy to prepare, and heavily promoted and it becomes most favorite to youths. This research aims at providing information about fast food industry, its trend, reason for its emergence and several other factors that are responsible for its growth.13 This report provides extensive research and rational analysis on the Indian fast food industry and about the changing trends in market. The research study looks into the market condition and future forecasts, and outlines of current trends and analyses.8 This research has been made to help clients in analyzing the opportunities, challenges and drivers vital to the growth of fast food industry in India and basically in Chhattisgarh. 12 For the purpose of this research Fast Food Industry includes fast food restaurants, tea houses, coffee shops and juice bars in India. The 6000 corer fast food retail industry is mainly dominated by the multinational players.5

Forecast on Lenovo Futures by Analyzing its Internal Operations as Well as the Current Environment

During the difficult time of COVID-19, many businesses in different industries have experienced an economic downturn, causing their future development uncertain to foreseen. The research on the future trend of the IT industry is important because the technologic companies are dependent on customers that either the companies' internal features and external environment can influence people's buying powers. This paper chose Lenovo, a Chinese technologic company that dominates the global market, from the IT industry to analyze its strengths and weakness, as well as the impact of the current situation. This paper looked at Lenovo's financial data and stock price, along with Lenovo's strategies and operating process, to identify Lenovo's present-day situation. Although Lenovo holds a strong position in the global market right now, with the ongoing unfavorable environment such as the trade war between U.S. and China and the rampant of counterfeits, Lenovo is facing threats of losing its stock price. This paper contains a detailed analysis of Lenovo's strengths and weaknesses and the environment it has to deal with. The paper provides evidence to predict Lenovo's future development and suggestions to expand the existing market.

Sharpening the Axe: Identifying and Closing Gaps Within the Training Space of the South African Private Security Industry

The ever-present threat of crime in South Africa continues to drive the rise and demand for Private Security Industry (PSI) services amongst various governmental institutions, businesses and citizens to ensure their safety. This rise for the Private Security Services (PSS) persistently presents new challenges to the Private Security Industry Regulatory Authority (PSiRA) such as poor security training standards and deployment of untrained security officers attached to the Private Security Companies (PSCs), which negatively impacts the professionalism of the security industry. This study was guided by this objective: Identifying and closing the gaps within South African training space of PSI. This qualitative study was guided by the exploratory research design. The judgemental sampling technique was adopted to sample 40 participants confined to Gauteng (GP), Kwa-Zulu Natal (KZN) and Western Cape (WC) Provinces. The selected relevant stakeholders were attached to the South African Police Service (SAPS), Department of Labour (DoLl), Department of Home Affairs (DoH), National Prosecuting Authority (NPA) and the legal fraternity) and the PSI Directors and security officers to form part of the Focus Group Discussions (FGDs) and hybrid semi-structured interviews. The findings highlighted that the majority of the participants agreed that the private security industry training space is affected by security service providers letting PSiRA down by not training at, but rather engaging in, criminal activity through selling and people buying PSiRA security certificates. Some of the challenges mentioned include; poor training standards, non-compliance to legislated training standards, unqualified security training facilitators and outdated security Grades, misuse of security equipment leading to serious injuries and death, corruption in the industry, some of it being perpetrated by PSiRA inspectors, the very people who are supposed to keep the industry in check. This study recommends that, in order to overcome the challenges in the security training space, PSiRA needs to do away with the outdated security Grades by developing a new policy framework which will enable the creation of a new security-training curriculum and revise the training methods to suit the ever-changing security industry.

European illegal puppy trade and organised crime

Organised crime groups’ involvement in illicit markets is a common focus of law enforcement and governments. Drug, weapon, human and wildlife trafficking (and others) are all illegal activities with link to organised crime. This paper explores the overlooked illicit market of puppies. We detail the state of knowledge about the organisation of the UK puppy trade, which includes irresponsible and illegal breeding of puppies throughout Europe and their often-illegal movement into the UK. In 2017, we conducted an analysis of hundreds of online advertisements in Scotland, 12 expert interviews, a stakeholder survey of 53 participants, and 40 focus groups across Great Britain. Our data suggest an organised illicit market running in parallel to the legal trade. We speculate as to whether at some point along the supply chain organised crime groups are responsible for the suffering and death of the puppies and the economic and emotional damage to ‘consumers’. Online monitoring and physical scrutiny at the ports must be improved to reduce non-human animal abuse. People buying puppies must also be made aware that their purchase could be profiting organised crime.

Support Vector Regression with Gaussian kernel for Housing Prices Prediction

The housing sector is one of the main sources of economic growth in both developing and developed countries. It is reported that nearly half of people buy or sell houses at an inappropriate price. Based on the public data set of Boston housing prices, this essay analyzed the factors affecting house prices and selected the five most important factors based on the decision tree with the ID3 algorithm. Then, this essay developed the support vector regression (SVR) with Gaussian kernel to predict housing prices. Experimental results showed that our method achieves superior accuracy and effectiveness compared with the SVR with linear kernel, KNN, and decision tree. To verify the applicability of our model, this research applied this model in Beijing housing price data, and it also achieved satisfactory fitting results.

ISLAMIC SOCIAL REPORTING DETERMINATION IN THE MANUFACTURING INDUSTRY SECTOR LISTED IN INDONESIA SHARIA STOCK INDEX

Aims of this study is to know about Islamic Social Reporting determination at manufacturing industry sector listed on Indonesia Sharia Stock Index, with the exchange rate and inflation as moderating variables. Panel data regression is used as a method with Islamic Social Reporting as a dependent variable and Return on Equity, Current Ratio, Debt to Equity Ratio, Firm Size as an independent variables, while inflation and exchange rates used as a moderating variables. Sampling is from manufacturing industrial companies listed in Indonesia Sharia Stock Index used purposive sampling in 2013-2018. Sourced data from Financial Services Authority, Central Statistics Agency and Bank Indonesia. Result shown that Return on Equity with inflation moderation has a positive and significant effect on Islamic Social Reporting, Current Ratio has a positive and significant effect on Islamic Social Reporting, and Debt to Equity which is moderated by the exchange rate has a positive and significant effect on Islamic Social Reporting. However, the inflation moderated Firm Size is not significant to the Islamic Social Reporting. In order to get blessings, manufacturing industry needs awareness from companies to implement the Islamic Social Reporting, Financial Services Authority implements and develops ISR indicators for all sectors, investors fully apply sharia principles to get blessings, and people buy products that are halal and toyiban, also government maintain exchange rates stability and inflation.

Slovakians' adversarial attitude towards consumption of functional food.

The aim of the article is to present the behaviour of Slovak consumers in terms of consumption in the field of functional food. The survey was initiated in all regions of Slovakia. The sample involved 1,373 families which consisted of respondents aged 18-92 years. Friedman's test and subsequent post-hoc analysis were used to determine the reasons why people buy (or do not buy) a specific type of food. The survey deals with functional foods. Additionally, another classification method, namely a decision tree, was used. Decision trees help to identify factors influencing the choice of food by buyers. Based on this method, it can be stated that Slovak households still do not trust the functional foods bought in shops and are not interested in purchasing these foods. In short, it could be assumed that the millennium generation would dominate households, and that they will probably prefer foods, in a higher degree of choice, as being pre-prepared foods. Therefore, food sales will move in this direction, although traditional patterns of behaviour, determined by the role of the mother in the family, still dominate. This trend can be reinforced by the lack of cooking skills and confidence among the younger generation, which will lead to reduced cooking and is considered barriers to healthy eating.

Role of Socio-Economic Resilience in Coping with Flood Vulnerabilities in District Charsadda

This quantitative study was conducted in the union council Agra of district Charsadda. Primary information was collected from the sample size of 150 male respondents. A conceptual framework consisting of the independent and dependent variables was cross-tabulated through the application of Chi-Square test statistics to ascertain the association between the two variables. The study revealed a significant association (P?0.05) of local community response with the statements such as poor families are more vulnerable to flooding; awareness about flood vulnerabilities; economic status reduces flood vulnerability; people buy cheap land for houses; people living on the river bank and side walls reduce flood vulnerabilities. The study recommends that government and local authorities should take responsibility for protecting the lives and properties of the people in flood-vulnerable areas through safety measures and make effective policies to measure the vulnerability and damage caused by floods among low-income families.

Kvantitativna analiza emocionalnog doživljaja gostiju u restoranima Opatijske rivijere

U ekonomiji doživljaja ljudi više ne kupuju proizvode i usluge, nego iskustva koja im pružaju snažne emocionalne i iskustvene reakcije. Iako se koncepti kvalitete usluga i zadovoljstva klijenta istražuju niz godina, i dalje se nalaze u fokusu znanstvenih i stručnih istraživanja. Međutim, malo je radova koji mjere i istražuju emocionalni doživljaj gostiju u restoranima. Stoga je cilj ovoga rada iscrpno analizirati dosadašnja istraživanja koja se bave ovim konceptima i razviti instrument DINEXPE za mjerenje emocionalnog doživljaja gostiju u restoranu. U tu svrhu razvijen je upitnik koji se sastoji od 35 varijabli, a u analizi prikupljenih podataka primijenjene su metode statističke analize. Uzorak čini 195 gostiju restorana koji su posjetili astronomski festival u Lovranu (Opatijska rivijera) u travnju 2018. godine. Rezultati ovoga istraživanja pomoći će voditeljima restorana u hrvatskom turizmu, pa i šire, u razumijevanju svojih gostiju te u dizajniranju kvalitete usluga koja će biti u skladu s njihovim očekivanjima.

NIAT BELI MASYARAKAT TERHADAP DISTRO LABEL CLOTHING DI SURAKARTA

This study aims to determine the purchase intention of private label clothing in Surakarta which has a relationship from the effect of risk, product quality, relative price and value in Rown Division distributions. The sample in this study were 100 respondents who bought Rown Division's products. This study uses a non-probability sampling technique with a purposive sampling approach, namely a sampling technique with certain criteria. The data analysis method used is multiple linear regression including t test, F test, coefficient of determination. The results showed that the variables of product value, relative price, product quality and risk had a positive and significant effect on people's buying intentions for clothing products. The magnitude of the coefficient of determination (R2) obtained a value of 60.9%, which means that the variables of product value, relative price, product quality and ris in this study were able to build purchase intentions of 60.9%, while the remaining 39.1% was explained by other factors outside from this research

Red Light Refracted: Impacts of COVID-19 on Commercial Sexual Exploitation in Maharashtra, India

NORC conducted a mixed-methods rapid assessment of the impacts of COVID-19 on commercial sexual exploitation (CSE) in Maharashtra, India, with funding from the Global Fund to End Modern Slavery (GFEMS). Findings show that while demand for commercial sex has dropped since the start of the pandemic, vulnerability to CSE has increased and there is early evidence that this supply-demand gap is leading to deflation in the price of sex. With a larger pool of potential victims and low demand, price deflation may lead to poorer living conditions and heightened abuse of victims. Furthermore, the pandemic is accelerating shifts in the channels through which people buy and sell sex, making CSE harder to identify and shut down over the longer-term.

Smart Shopping Trolley System using IoT

Currently, billions of consumers shop at large in shopping mall stores for their everyday necessities. In today’s life, purchasing has become a part of everyday life. On holidays and weekends, malls experience massive crowds. When there are exclusive sales and discounts, the urgency is intensified. Here we will use IOT based technology for people buy various things and place them in a trolley. When they have completed their order, they must pay at the billing desk. The Bills generated by a RFID reader which is a time-consuming procedure that leads to long queues at billing counters. The key objective is to build a framework that can be used in shopping malls to fix the issue described above. Both trolleys would be fitted with the system. It will require an RFID reader; RFID tags would be found in many of the mall’s goods. When a consumer places items in the trolley, the code is read, and the price of certain items is saved in the admin portal. When we add items to the cart, the device depicts the item’s name, number, expiration date, and rate, which is then applied to the overall bill. As a result, billing will take place within the trolley itself. The complete bill data will be passed to online portal Wi-Fi Module with trolley id, and we will be able to pay the balance either online or at bill counter by scanning the RFID tag placed in the trolley. In-season inventory reductions are often applied in transactions through admin, and item stock may be recorded. Intelligent Carts and automated recognition systems are being utilized by merchants to enhance the efficiency of their offerings and to boost market demand, enabling them to save time and money.

Physico- Chemical, Microbiological and Sensory Properties of Some Commercial Bottled Drinking Water In Egypt.

Bottled water like any drinking water used for human consumption should be safe and of standard quality to ensure adequate public health significance. But, the quality of bottled water used for human consumption is not subjected to any stringent quality control measure in Egypt. People buy bottled water for a variety of reasons, including convenience, fashion, and taste or because they think it is safer than tap water. The taste of the water has to do with the way it is treated and the quality of its source, including its natural mineral content. However, taste does not always indicate safeness. The samples were collected by random sampling technique. To asses the quality of bottled water in Al-Qalyubia, Egypt. The present study was carried out to determine the physicochemical, microbiological, sensory quality parameters and the concentration of heavy elements of six brands of bottled drinking water available in Al- Qalyubia and to compare with drinking water guidelines set by the WHO and the Egyptian Standard for bottled water(EOS). The results obtained showed that the physicochemical, microbiological and sensory parameters as well as the concentration of heavy elements in almost all the bottled drinking water were below the permissible limit set by WHO and Egyptian Standard (EOS). Hence, all the tested bottled water samples are safe for drinking purpose.

Public and semi-public injection drug use in Thunder Bay, Ontario: the case for supervised injection services

Although public injecting has been studied in large urban centres, little is known about the factors that drive public injecting in remote communities. This study sought to explore public and semi-public injection in Thunder Bay, a remote and mid-sized city in Northwestern Ontario. Peer researchers completed surveys with people who inject drugs. Multivariable logistic regression was used to examine sociodemographic characteristics and behavioural patterns associated with injecting in public or semi-public settings. Among 200 people who inject drugs, 128 (64%) individuals reported engaging in public injection. In multivariable analyses, public injecting was positively associated with age (Adjusted Odds Ratio [AOR], 0.97, 95% Confidence Interval [CI]: 0.97–1.00; p = 0.05), homelessness (AOR 2.34, 95% CI: 1.10–5.02; p = 0.02), sex work (AOR 4.62, 95% CI: 1.37–21.61; p = 0.02), injecting alone (AOR 2.66, 95% CI: 1.19–6.02; p = 0.01), opioid injecting (AOR 3.64, 95% CI: 1.48–9.41; p = 0.05) and cocaine injecting (AOR 4.35, 95% CI: 2.11–9.44). The most frequent reasons for public injecting were proximity to where people buy drugs (59.4%), being too far from home (27.3%), and being homeless (25.8%). Our findings suggest that the scale-up of additional harm reduction programming in Thunder Bay, including supervised injection services, may address public injecting and reduce associated harms in this setting.

Effect of Ease And Trustworthiness To Use E-Commerce for Purchasing Goods Online

The background in this research is to find out whether there is a relationship between the ease and trust of an e-commerce with customers who buy goods online, with this ease and trust whether purchasing goods online is increasing what are the factors that make sales increase and the variables that influence it, with the ease of using this e-commerce system and with a high level of trust, the public will be more confident shopping in an e-commerce media, because the seller provides the best service or has a very good product so that people buy with believe in the products they buy. The method used in this research is to use quantitative methods by conducting surveys to several customers who have used e-commerce media, is it easy and trustworthy in an e-commerce to increase sales, therefore, with the survey media, data is obtained primarily and the truth can be justified. With the ease and level of confidence about customers, shopping on an e-commerce can increase, with the increase, we can find out what variables can make customers shop more online, therefore variables must be known by sellers with an e-commerce system, with known variables such as ease of trust and the presence of a low price level, product sales will increase. This research will produce data that can determine whether there is a relationship between convenience and trust in purchasing goods online, with this data it can be used as a basis for further research and can be the basis for developing e-commerce systems today.

Online medication purchasing during the Covid-19 pandemic: A pilot study from the United Arab Emirates

BackgroundSince the WHO announced that Covid-19 had become a global pandemic, online pharmacies have emerged as an extremely popular way to purchase medication due to the quarantine measures introduced by numerous countries to prevent the virus's spread.AimThe aim of this study was to collect information regarding the extent of online medication purchasing in the UAE and to assess the factors that motivating the purchase of medications from the internet.MethodA convenience sampling of people living in the UAE was used to conduct an online descriptive cross-sectional study. Respondents were solicited using the social media platforms WhatsApp and Facebook, whereby they were asked to fill in a validated web-based questionnaire. The number of people buying medications from online pharmacies was calculated using a percentage with 95% CIs.Results131 respondents (31.2%) [95% CI: 26.7–35.6] stated that they purchased medication via the internet after Covid-19 was classed as a pandemic. It was found that those respondents most likely to have purchased medication via the internet were male, single, and older and with a high school education.ConclusionMore research should be conducted to investigate and compare the self-medication and associated risk factors between online pharmacies and community pharmacies. Moreover, regulatory bodies need to make and implement changes to the regulations that govern the sale and use of medications during COVID-19.

Why do people end up buying fake medicines online? A thematic analysis of newspaper articles

Abstract Introduction The internet provides a platform for both legal and illegal online suppliers of medicines, which are sometimes difficult to distinguish between. Therefore, consumers accessing the internet are at risk of purchasing fake medicines from illegal suppliers. This is particularly problematic when people buy Prescription-Only Medicines (POMs) from the internet, despite an abundance of governmental campaigns 1. This under-researched issue has nonetheless been highlighted in news articles in the past few years which are a potential source of information, albeit informally, about how and why people end up buying fake medicines via the internet. This study is phase-1 of a larger study that aims to develop a questionnaire using the Theory of Planned Behaviour (TPB)2 to examine risky online purchasing of medicines to help focus future campaigns. Aim The aim is to identify the factors that lead people to inadvertently buy fake POMs online by examining newspaper articles covering this topic and categorising the findings according to the TPB’s indirect measures; namely, behavioural beliefs, normative beliefs, and control beliefs. Methods Newspaper articles were collected from the electronic database “ProQuest” using a series of search words for retrieving newspaper articles covering the purchasing of fake medicines online throughout the world. The search was limited to articles published from April-2019 to March-2020 to retrieve relevant articles in this fast-developing field. Articles that did not focus on POMs or only covered the supply side (e.g. efforts to combat illegal suppliers) were excluded. After evaluating each article using the inclusion/exclusion criteria, 52 articles remained. Thematic analysis was employed to analyse the newspaper articles against the TPB. The NVivo software program (version 12) was used to aid the generation of the themes. Results Using thematic analysis, 12 themes were generated and categorised according to the TPB’s indirect measures as follows. The behavioural beliefs (i.e. advantages and disadvantages of buying medicines online) included a perception of convenience, low price, privacy of the purchase, potential harmful effect, low quality, and lack of medical oversight. The normative beliefs (i.e. social factors influencing decisions to buy medicines online) included endorsement by influencers, deceptive marketing by suppliers, as well as organizations fighting the fake supply chain. The control beliefs (i.e. what encourages or stops purchasing medicines online) included encountering medicines shortages, outbreak of pandemic diseases, and accessibility issues. Conclusion This newspaper-analysis study created an initial map of ideas for why consumers might inadvertently buy fake POMs online highlighting the complexity of personal beliefs as well as a range of external circumstances. Further exploring these factors provides the basis for future campaigns for changing/controlling the purchasing of fake medicines online. Although the newspaper articles offer a wide range of data and provide different points of view, the validity of their content cannot be proven and are taken at face value. Therefore, the next step for this study is to complete semi-structured interviews with consumers purchasing medicines online (Phase-2) to verify the themes generated in Phase-1 before developing a larger questionnaire study (Phase-3).

Price of change: Does a small alteration to the price of meat and vegetarian options affect their sales?

Reducing meat and fish consumption in wealthier countries would help mitigate climate change, raising the question of the most effective ways to achieve this. Price influences the food people buy, but to our knowledge no published field study has assessed the impact on sales of experimentally altering the price of meat and vegetarian meal options. We ran an experiment across 106 mealtimes with 13,840 meal selections at a college cafeteria in the University of Cambridge (UK), introducing a small change to the price of vegetarian meals (decreased by 20p from £2.05 to £1.85) and meat meals (increased by 20p from £2.52 to £2.72). Total meal sales did not differ significantly before and after the price change. When controlling for other variables, changing price significantly increased the proportion of vegetarian sales by 3.2 percentage points (p = 0.036). However, there was no significant change in meat sales before and after the price change, although fish sales did decline by 2.8 percentage points (p = 0.010). When analysed by individual diners’ pre-experimental meal choices (N = 325), the price intervention significantly affected only the quartile of diners with the highest prior rates of vegetarian and vegan meal selection (“MostVeg” quartile), who increased their vegetarian meal selection by 13.7 percentage points (p = 0.011). Students mainly pay for meals on their university cards and rarely pay with cash, which may lessen the impact of a price intervention in this context. Our results suggest price changes may be one lever for increasing vegetarian meal consumption. Further field studies are needed to test different price changes, and in non-university populations.