People Purchase Research Articles

How do you choose your meal when you dine out? A mixed methods study in consumer food-choice strategies in the restaurant context

Choosing meals in restaurants is a significant part of life. On average, people purchase seven meals per week from one of the over 17.5 million food outlets worldwide. The way people choose restaurant meals is different from how they choose foods they consume at home. Understanding people's decision-making strategies when choosing restaurant meals is critical for designing behaviour change interventions that prompt specific food choices (e.g., health, low emissions). Our study aims to identify meal choice strategies across various food outlets (Study 1) and determine their frequency of use (Study 2). In Study 1, we take a constructionist perspective and derive insights from 21 semi-structured interviews on strategies people use as they select meals in different food outlets. We identify 16 distinct strategies, with many people using multiple strategies within and across different restaurant types (i.e., general restaurants, fast-food, pubs, and upscale restaurants). In Study 2, we quantify which of those 16 strategies are most frequently used. The most used strategies were searching the menu for (1) the most enjoyable meals, (2) the most budget-friendly meals, or (3) familiar meals (i.e., habitual choices); and choosing from those. Few people searched the menu for the most environmentally friendly meals and chose from those. These results could explain the limited effectiveness of carbon labelling at restaurants. Our study calls for future interventions on prompting environmental or healthy food choices to move away from health and environmental labelling and to focus on enjoyment, price, or habit because these are important for people when choosing a meal. We also created a practical measure of the 16 food-choice strategies, available for researchers to use.

Consumer Buying Behaviour in Sustainable Luxury Fashion

The purpose of this research paper on sustainability in luxury fashion is to analyse the current state of how each gender has a different purchasing behaviour in terms of sustainability practisesin luxury fashion, identify challenges, and contribute to a larger discussion on the role of luxury fashion in shaping a more sustainable and equitable global fashion industry. Chi- square test has been used to determine how gender influences the sustainability of luxury fashion. The two variables in this case are luxury fashion sustainability and gender. To achieve this objective, a primary survey was conducted with a sample of 124 participants who were divided into gender group namely female, male, others and prefer not to say. In this research paper it was found out using data analysis based on the primary survey of 124 respondents on how often do people purchase luxury fashion products that are marketed as sustainable or eco-friendly based on gender. As seen in the table 1,64% percentage of men always purchase fashion products that are marketed as sustainable, which is 29% more than women. 56% of the of the men never buy luxury goods that are more sustainable compared to 44% women who never buy sustainable goods. 53% of women sometimes purchase fashion products that are marketed as sustainable than 47% of the men. The same has been depicted in chart 1. It can be found out that overall men purchase more sustainable goods than women Keywords: sustainability, luxury fashion, purchasing behavior, gender differences, Chi-square test, eco-friendly products, consumer behavior

What Makes Chinese People Purchase Agricultural Products in Live-Streaming? A Consumption Values Perspective

What Makes Chinese People Purchase Agricultural Products in Live-Streaming? A Consumption Values Perspective

The Effect of Price, Needs and Scarcity on Purchasing Decisions for 3 Kg Lpg Gas Among the People of Bengkalis

This study aims to analyze and see the effect of price, needs and scarcity on purchasing decisions for 3 kg LPG gas among the Bengkalis community. The research method of analysis used, namely multiple linear regression analysis with SPSS 27 tools. The sampling method in this study was non-probability sampling with purposive sampling technique. The number of samples in this study were 100 respondents. The results of this study indicate that the three variables of price, necessity and scarcity have a positive effect on purchasing decisions for 3 kg LPG gas in Bengkali both partially and together. Suggestions from this study are that the Government needs to pay attention to prices, needs and scarcity to increase people's buying intention for 3 kg LPG Gas in Bengkalis. It is better if the price of 3 kg LPG Gas needs to be adjusted to the community's income so that there is no scarcity of 3 kg LPG Gas and the community's need for 3 kg LPG Gas can be fulfilled properly and people's purchase intention will increase.

Pengaruh Word Of Mouth, Kepercayaan, Harga Dan Brand Awareness Terhadap Niat Beli Smartphone Samsung

Along with the development of technology in the current era of globalization in which there is a demand for rapid exchange of information between regions and even between countries which makes telecommunication media very important so that information travels very quickly. The purpose of this research is to see if there is any influence between Word of Mouth, trust, price, and brand awereness on people's purchase intention for Samsung products. The population in this study are all people who know and use Samsung smartphones who are domiciled in West Jakarta, whose number is unknown. The sample in this study was taken using the NonProbability Sampling method using the purposive sampling technique of 100 respondents aged 17-35 years and over. The analytical method used is multiple linear regression analysis to determine the direct and indirect effects between variables. The results showed that word of mouth, trust, price, and brand awereness variables had a positive influence on the purchase intention variable for Samsung smartphones. Future research is expected to expand the range of regions and add other variables related to purchase intention.

Pengaruh Copywriting Tiktok Hyalucera Moisturizer The Originote terhadap Minat Beli Masyarakat

The digital era development brings many factors that influence people's purchase intention, especially through digital marketing communication content. This study aims to identify whether copywriting in TikTok hyalucera moisturizer The Originote partially and simultaneously affect public purchase intention using quantitative research methods. The population in this study involves people who have and have not become consumers of the product so that it is infinite with a sample of 100 respondents obtained through simple random sampling. The results of the research analyzed using the IBM SPSS Statistics 26 program show that the copywriting elements of attention (X1) and communicate (X2) have no positive and significant effect partially with a value of 1.259 and a significance value of 0.211 for X1 and -0.519 with a significance value of 0.605 for X2. Meanwhile, the persuade (X3) and conviction (X4) variables have a positive and significant partial effect on people's purchase intention with a value of 3.482 and a significance value of 0.001 for X3 and a value of 3.958 with a significance value of 0.000 for X4. Copywriting elements simultaneously have a positive and significant effect on public purchase intention with an value of 57.329 and a significance value of 0.000. Based on the coefficient of determination (R2) test, copywriting elements have a positive and significant effect on purchase intention (Y) of 70.7% with the remaining 29.3% influenced by other factors not included in this study. Suggestions that can be given for variables X1 and X2 are making titles using the 4 U's formula and creating message content using the you-orientation method because good copywriting not only persuades and convinces, but also must attract attention and communicate.

How Do Positive Emotions Influence Online Purchasing Decisions?

Emotions significantly influence people’s behaviors, decisions, and judgments. Variations in emotional states can affect how people purchase and spend money in everyday life. The same applies to purchasing decisions, and the current emotion, especially positive emotions, is mainly responsible for the consumer’s decision to buy and invest. Previous research (Achar et al., 2016) has shown that emotions embedded in marketing stimuli, or integral emotions, influence decision-making through cognitive appraisals of the object or event. These emotions are elicited by marketing appeals and contexts, such as advertising or brand, and shape consumers’ decision-making processes.

The Direction of the Cryptocurrency: Current and Future Perspectives

The development of technology has brought multiple changes in the economy, one of them being how people purchase goods and services. Technology has improved online business and how payments are made through digital means. Initially, people used to make payments using their credit cards, but the invention of digital currency has eased the transaction process. Cryptocurrency has emerged as the newest way for people use to make transactions. The majority prefers cryptocurrency since it is faster and does not require intermediaries like the traditional mode of payment. However, various issues have emerged that may influence its development. Security issues and scamming have become rampant, which has discouraged investors. In addition, cryptocurrency experiences huge volatility, which may discourage people from investing since failure to have previous data may made the investors fail to predict the prices. Fraud and the presence of scammers have discouraged people from investing since they fear losing their fortune from these individuals. The continuous adoption of cryptocurrency has made the organisation invest in cryptocurrency to diversify its portfolio risks.

The Strengths and Weaknesses of Costco's Business and Financial Model as well as the Potential Risk of Costco's International Development and Outlook

People are inseparable from buying necessities in their daily life; however, they may not pay much attention to the products they purchase, such as the strategy that the product company uses and the business risk the company might face. Therefore, the study focuses on one of the American sizable company-Costco, to analyze the necessities people purchase from Costco and the advantages and disadvantages of Costco's operation and financial model, as well as its risk and future expectation. A series of online research, Data research, directional comparison, and chart method combined with the calculation of average price, net income, etc., indicate that Costco has an excellent operating effect in the market and has become the second-largest retailer in the United States due to its unique membership system and management model. In addition, Costco also extensively develops international trade to expand its influence and sales force. However, Costco still has some potential risks. For instance, Costco will face different risks for its international business under diversified cultural backgrounds. This study focuses on the risks and suggestions of Costco's development in China. Finally, combined with the development of science and technology, it puts forward Costco's automation measures and the idea of developing e-commerce and looks forward to the future of Costco.

Research on Increasing Young People's Purchase of Sustainable Products

Research on Increasing Young People's Purchase of Sustainable Products

How to Exploit a Market Niche by Responsivity?

When people purchase goods or services, their experiences can meet, exceed, or fall short of their expectations. This process of convergence creates a diverse market, where some customer's expectations naturally align with the provided quality. The customers whose expectations converge to the quality offered are more likely to remain loyal to the firm in the long run. The customers whose beliefs diverge face a sequence of satisfying and dissatisfying experiences, which makes them likely to resign from using the product. This convergence can be facilitated by the firm's responsivity, which is costly.In this paper, we explore how responsivity can present an opportunity for a new market entrant to attract potentially loyal customers in order to deploy a niche left by a first-mover without causing costly competition. Responsivity acts as a niche marketing strategy, and we find how to use it in the optimal way.

TRANSFORMATION OF MARKETING ROLE STRATEGY IN REALIZING PURCHASE INTENTION

The transformation of marketing role strategy through social media is very decisive. This technology raises the views and mindset of society radically, whereas the society is very dependent on the technology used. On the other way, producers have their own views on the involvement of social media in influencing people's purchase intention in possible ways. Through the role of public figures or celebrities, promotion through social media can increase consumer purchase intention. This study aims to analyze the transformation of the role of marketing strategy in realizing consumer purchase intention. The sampling method used quantitative methods with a sample of 98 culinary tourism doer. Where the entire population is used as a sample. The results of the analysis show that; there is an influence of marketing strategy on purchase intention through celebrity endorsement variable.

Evaluating the impact of marketing interventions on sugar-free and sugar-sweetened soft drink sales and sugar purchases in a fast-food restaurant setting

BackgroundBeverages high in added sugar, such as sugar-sweetened soft drinks, continue to be associated with various health issues. This study examines the effects of a manufacturer-initiated multicomponent intervention on the sales of sugar-free (SFD) and sugar-sweetened (SSD) soft drinks and the amount of sugar people purchase from soft drinks in a fast-food restaurant setting.MethodsA database of monthly sales data of soft drinks from January 2016 to December 2018 was obtained from three treatment and three control fast-food restaurants. A multicomponent intervention consisting of free coupons, point-of-purchase displays, a menu board, and two sugar-free replacements for sugar-sweetened soft drinks was introduced in August 2018 for five months in Western Sydney, Australia. A retrospective interrupted time series analysis was used to model the data and examine the effects of the interventions on SFD and SSD sales and their consequential impact on sugar purchases from soft drinks. The analyses were carried out for volume sales in litres and sugar in grams per millilitre of soft drinks sales. A comparison of these measures within the treatment site (pre- and post-intervention) and between sites (treatment and control) was conducted.ResultsThe interventions had a statistically significant impact on SFDs but not SSDs. On average, SFD sales in the treatment site were 56.75% higher than in the control site. Although SSD sales were lower in the treatment site, the difference with the control site was not statistically significant. The net reduction of 6.34% in the amount of sugar purchased from soft drinks between sites during the experimental period was attributed to the interventions.ConclusionsThe interventions significantly increased SFD sales and reduced sugar purchases in the short run. Aside from free coupons, the findings support the recommendation for fast food restaurants to nudge customers towards choosing SFDs through point-of-purchase displays and the replacement of popular SSDs with their SFD counterparts.

Role of Fear on Consumers’ Buying Tendencies: Mediating Role of Social Media Usage

The present study empirically examines the impact of fear on consumers’ buying tendencies (Impulse buying, Panic buying and Online purchase intention). The study assesses the role of social media usage as a mediating variable in the above relationship. Also, it investigates the variation in consumer buying tendencies, fear, and social media usage across demographics. A total of 389 survey responses were collected online through a structured questionnaire using a snowball sampling technique from consumers of Delhi, India. A causal relationship established using Structural Equation Modelling reveals linkages of fear with panic buying and social media usage fully mediates this relationship, Further, the link between fear and online purchase is partially mediated by social media usage, and no linkage is found with impulse buying. ANOVA and T-test results show that panic buying tendency is higher in females and married individuals, social media usage is higher in unmarried younger age group people and online purchase intention is practiced more by males in middle- and upper-income groups. The study concludes by providing theoretical and practical implications.

Sentiment Analysis of Flipkart Product Reviews using Natural Language Processing

In this contemporary world, people depend more on ecommerce sites or applications to purchase items on-line. People purchase items on-line based upon the scores and evaluates offered by individuals that purchased items previously which identifies the success or failing of the item. Furthermore, business suppliers or manufacturers identify the success or failing of their item by evaluating the evaluates offered by the clients. In current system, a number of techniques were utilized to evaluate a dataset of item evaluates. It likewise provided belief category formulas to use a monitored discovering of the item evaluates situated in 2 various datasets. The proposed speculative methods examined the precision of all belief category formulas, and ways to identify which formula is more precise. Additionally, the existing system unable to spot phony favorable evaluates and phony negative reviews with discovery procedures. One of the most popular works was done "Bad" and "Outstanding" seed words are utilized by him to determine the semantic positioning, factor smart shared info technique is utilized to determine the semantic positioning. The belief positioning of a file was determined as the typical semantic positioning of all such expressions. Semantic Positioning of context independent viewpoints is identified and the context reliant viewpoints utilizing linguistic guidelines to infer positioning of context unique reliant viewpoint are thought about. Contextual info from various other evaluates that discuss the exact same item function to identify the context indistinct-dependent viewpoints were drawn out.

What should Starbucks do to Survive the Pandemic

With the spread of the novel coronavirus, the whole world has been seriously affected. Both People's Daily life and the development of society have been severely affected. So how to develop during the epidemic and even recover after the epidemic has become an important issue in today's world. This paper takes the global coffee chain brand Starbucks as the main object, makes a detailed analysis of the brand culture and development through SWOT analysis, and provides industry development suggestions for the Starbucks brand and related industries. By evaluating its own strengths, weaknesses, opportunities, and threats in external competition, it can use this method to conduct a comprehensive, systematic, and accurate study of the situation of the research object, so as to formulate corresponding development strategies, plans, and countermeasures according to the research results. The study found that Starbucks' distribution model and innovation are great advantages for the brand, but the relatively high price has affected people's purchase desire. Therefore, Starbucks needs to strengthen customer loyalty and use digital media promotion to meet customer needs and increase brand value.

A Study on Gen Z Consumer Perception towards Celebrity Endorsement and Its Impact on Brand Building

Brands are what people purchase, not individual things. The strength of their own brands is the primary factor that contributes to the achievements of successful marketers. The field of marketing is one that is dynamic, which means that it includes change; this is an essential phenomenon that must not be ignored. Because of this, many people believe that modern businesses need to shift their focus from their Unique Selling Proposition (USP) to their Unique Consumer Perception (UCP). It has been hypothesized that a significant gap exists in our knowledge of the generation Z customer's assessment of endorsement tactics as well as the celebrity check that is based on the characteristics and variables that are allocated by the consumer. As a result, the statement of the issue that will be investigated, which has been chosen, is the Gen Z Consumer Perception for Celebrity Endorsement and its Impact on Brand Building.

Changes in the Culture of Consumption During COVID-19: a Decision-Tree Model

This study aimed to understand changes in the culture of consumption in the selected consumer seg-ments regarding COVID-19 during the lockdown. The empirical research was conducted with a sample of 534 households. To predict changes in consumer behavior, the two-step clustering method was used. We also use the decision-tree model. We created four selected segments with remarkable consumption changes on the basis of their opinions concerning three points of view, namely, behavior changes, de-mographic data, and self-beliefs. Consequently, we classified subject pertinence (i.e., single respon-dents) to single clusters by decision trees using various statistical calculations to place the chosen attri-bute within the node of the tree structure. The factors most statistically significant for inclusion in the cluster were willingness to give up personal freedom, conservatism, and preferring functionality to appearance/design, with the last significant factor being meeting deadlines. We find indications that the more people purchase online, the less they decrease expenses and support charities, or/and the more people solve things remotely, the less they restrict taking loans. The results will help in identifying future models in retail conditions.

Deep learning for comment spam and scams

As the popularity of online social networks has increased, so has the manner in which people purchase online. Online reviews on the purchasing of items or the provision of services have become the primary source of user opinion. When a substantial body of knowledge assesses a product or service, that body's effect on the market is significant. Because of this, concerns have been raised among manufacturers and merchants, who frequently compose rubbish reviews to promote or denigrate the quality of specific items or services in order to make a profit or maintain their reputation. You may choose to promote or denigrate certain products or services that have been targeted. This kind of commentary is known as "trash remark." Comment spam violates the interests of enterprises to a significant level, and it possesses a defensive mechanism that combines the "Deepfake" of artificial intelligence technology, which renders conventional security measures inapplicable. Deep learning is the approach that will be most effective in resolving this issue. Researchers assess this research according on how they extract features from the commentary dataset and how they extract features from the commentary dataset, employing a variety of methodologies and strategies to find solutions to the problems. The authors also looked at the key deep learning technologies that have been suggested as a solution to the issue of spam detection in the primary machine, as well as the performance of various deep learning technologies. At the same time, the fact that there is not a lot of spam online review data makes this sort of research a highly significant one. The purpose of this article is to offer an insightful and all-encompassing analysis of comparative research on the topic of spam detection that has recently been conducted.

A Review on Mobile App Based Self Controlled Shopping Cart with Advanced Billing System

Abstract: By linking common devices, the internet of things (IoT) is transforming people's lives. Shopping in large malls is now an everyday occurrence in major cities. On holidays and special sale days, there is a large crowd at malls. People purchase different items and put them in carts and go to the billing counter for payments. During that time, they have to wait in a long queue to get their products scanned using an RFID reader with help of a barcode scanner and get billed. To modify that customer has to purchase smartly in shopping malls. Each product is attached with an RFID tag, and when placed into a smart shopping cart, can be automatically read by a cart equipped with an RFID reader, so that the billing can be conducted from the shopping cart itself. In this way, customers can avoid waiting in a long queue at the checkout points. Inventory management also becomes much easier, because all the items can be automatically read by an RFID reader instead of manually scanned by the customer. The uniqueness of this project is that we are making a Mobile application which includes a voice module in which we will give instructions for the movement of the cart and for the location of the particular rack in which the items are present. This innovative system will help the stores to see a rise in their sales along with delighting customers. As a result, this project is extremely beneficial and will be in high demand in the future.