Purchase Quantity Research Articles

Segmenting the Chinese New Energy Compact SUV Market: A Latent Class Analysis of Consumer Preferences

The burgeoning new energy vehicle (NEV) sector in China, particularly the compact SUV market, presents a dynamic landscape for consumer preferences and behaviors. This study employs a latent class analysis (LCA) to segment the Chinese new energy compact SUV market, aiming to identify distinct consumer groups with homogeneous preferences and behaviors. Utilizing a comprehensive dataset of 6,720 consumer samples sourced from a reliable automotive statistics website, the study delineates two primary consumer segments: "Luxury Brand Preference Buyers" and "Normal Brand Rejection Buyers." The findings reveal that the former segment exhibits a marked preference for luxury brands, and tends to make fewer purchases, predominantly in the last quarter of the year 2023. In contrast, the latter segment shows a strong preference for another luxury brand and a balanced distribution of purchase quantities throughout the year, with a clear rejection of normal brands. These insights are instrumental for NEV enterprises to develop targeted marketing strategies that cater to the specific needs and preferences of these consumer segments, thereby enhancing market share, consumer satisfaction, and loyalty.

The Role of Neuromarketing in the Purchasing Behavior of Customers: The Role of Cognition and Perception in Purchasing Decisions

This study aims to examine the impact of neuro-marketing on customer purchase behavior through the role of cognition and perception in purchase decision-making. To test these hypotheses, participants were placed in a laboratory environment and exposed to emotional and cognitive stimuli. Brainwaves (alpha and beta) and behavioral indicators such as the number of purchases, purchase amount, and decision-making time were evaluated as the main variables. The sample consisted of 30 participants, who were randomly assigned to experimental and control groups. The results indicated that emotional and cognitive stimuli had a significant impact on alpha and beta brainwaves. Emotional stimuli led to an increase in beta waves and a reduction in decision-making time, suggesting enhanced alertness and faster decision-making. Additionally, cognitive stimulation significantly increased both alpha and beta waves and reduced decision-making time. However, the effect of these stimuli on the number of purchases and the total amount spent was not significant. DOI: https://doi.org/10.52783/pst.905

Combining virtual reality with asymmetric collaborative learning: a case study in chemistry education

The use of Virtual Reality (VR) in education is getting more and more common, especially when hands-on learning experiences have to be delivered. With VR it becomes possible, e.g., to simulate dangerous or costly procedures that could hardly be implemented in real settings. However, engaging large classes in immersive laboratory activities may be difficult, since VR kits are still rather expensive for quantity purchases and may require powerful PCs as well as proper spaces to work. A possible way to deal with these issues could be to combine VR with so-called asymmetric Collaborative Learning (CL). CL is a particularly interesting pedagogical approach, as it make learners work in team to achieve a common educational goal, promoting critical thinking and active learning. In asymmetric CL, in particular, learners use different technologies to interact. When combined with VR, asymmetric CL could be used, e.g., to let some learners get immersed in a virtual environment, while some others actively participate in the experience using a desktop interface. This configuration could allow, in principle, to involve more learners in the same amount of time and with the same number of VR kits, while also letting them benefit of the advantages of CL. Based on these considerations, this paper investigates the impact of CL on VR-based education by leveraging an immersive virtual environment designed to support a laboratory experience in a Chemistry course. A user study was conducted by involving 46 university students enrolled in the course. Objective and subjective metrics were used to compare two education methods, i.e. one in which the students experienced the VR environment in isolation, another one in which pairs of students collaborated with an asymmetric approach. Students’ knowledge acquisition was assessed by means of theoretical quizzes, whereas practical performance was automatically measured during the VR experience. The experimental results showed that trading off VR-based, individual learning for CL may have positive effects on the acquisition of theoretical knowledge, but may be detrimental to the achievement of practical abilities if sufficient exposure to technology cannot be guaranteed.

Beyond information: The power of personalized nudges in promoting vegetable purchases

This study explores the impact of providing general health-related information and personalized nudges aimed at modifying cognitive biases on enhancing vegetable purchases and consumption. We conducted a four-month natural field experiment and analyzed daily purchase records of 942 households using receipt scanner data. While merely explaining the loss-framed health benefits of vegetables did not significantly alter the overall vegetable purchasing habits, we observed a notable decrease in meat purchases, attributing this to the indirect effects of vegetable information. Additionally, when the status of relative vegetable purchases amount was provided based on personal purchase histories, individuals who initially purchased more vegetables demonstrated an increased buying volume. This effect was more pronounced in households with children than in those without. The nudging interventions had long-term effects beyond the experiment’s duration, possibly driven by an altruistic concern for children’s health within the household. Therefore, while nudges alone are not a complete solution, their ability to effect long-term changes in household purchasing patterns suggests that they can be a valuable addition to policy tools promoting sustainable and healthy food choices, as well as traditional mass-targeted promotion strategies.

An ERP study on the role of instant purchasing group quantity in e-commerce live streaming: a social impact perspective

An ERP study on the role of instant purchasing group quantity in e-commerce live streaming: a social impact perspective

EXPRESS: Buy Now Pay Later: Impact of Installment Payments on Customer Purchases

Buy Now Pay Later (BNPL) installment payments allow customers to pay for purchases in a series of interest-free installments over a short period of time. This research provides novel insights into how customer adoption of BNPL installment payments impacts spending. The authors leverage customer-level transaction data before and after the introduction of a BNPL installment payment service at a large US retailer. A difference-in-difference analysis indicates that the adoption of BNPL installment payments is associated with (1) an increase in purchase incidence, and (2) larger purchase amounts. These effects are statistically and economically significant over time. Moreover, this increase in spending is greater for smaller (vs. larger) basket shoppers, and for shoppers who relied more heavily on credit (vs. debit) cards before adoption. Three pre-registered experiments show that BNPL installment (vs. lump sum) payments increase spending by reducing perceived financial constraints. Specifically, BNPL installments alleviate perceived financial constraints by reducing perceived costs and facilitating budget control. These findings highlight the substantive role of BNPL installment payments in shaping purchase behavior and provide important implications for the management of BNPL payment schemes.

The pre-purchase search channel and purchase behavior: Role of social commerce vs traditional e-commerce

Social commerce, an integration of social media into e-commerce, is on the rise and serves as an important search and purchase channel for consumers. However, little is known about how social commerce differs from traditional e-commerce in stimulating consumer purchase behavior. Drawing on the theory of perceived behavioral control, this study contributes to the literature by proposing a theoretical framework that links the pre-purchase search channel (i.e., social commerce vs traditional e-commerce) to purchase quantity. To test hypotheses, we utilize a large sample consisting of 279,098 pre-purchase click events of 6,721 products purchased by 247,069 consumers in March 2018. The empirical results suggest that purchase quantity is lower when a consumer searches through a social commerce channel compared to a traditional e-commerce channel. We also examine the moderation effects of the characteristics of consumers and products. To show the generalizability of our main finding, we further conduct qualitative interviews with 20 participants from 12 countries. Our conclusions provide practitioners with critical managerial implications.

Development and validation of a web application to collect food supply data associated with their nutritional composition and environmental impacts

Measuring what people eat is a major methodological challenge. We developed and validated a new web-based method to record actual food supply data that would be less time consuming than the original method (i.e., food supply diary). Through the COD-Appro web application, participants can enter their food supplies by selecting a food item from a list based on items included in French food databases; thus automatically associated with nutrient composition and environmental impacts data. We recruited 102 participants who used COD-Appro during one month, among which 30 also used a classical paper-based food supply diary to be able to compare the two methods. A feedback questionnaire was completed by all the participants. The two methods showed no difference between the price and the quantity of food purchases when compared by food groups (n = 10) which confirms that the new method was robust compared to the original method. In addition, participants reported good usability of the COD-Appro web application and its use saved a considerable amount of time to the experimenters by integrating data entry and pairing with food databases (nutrient composition and environmental impacts) into the data collection step performed by the participants themselves.•Web-based food supply data collection•Association with nutrient composition and environmental impacts•External validity compared to original method (i.e., food supply diary)

Global supply chain network design for shelf-life products under uncertainty: a case study of pistachios

PurposeSupply chain management has become critical in today’s globalized environment, with growingly intense competition on the international level. The particular characteristics of modern trade have led companies to globalize and devise increasingly sophisticated supply chains to meet customer demand worldwide. Motivated by the need to address these challenges, we have developed a new model for a global supply chain that incorporates uncertainties in exchange rates, demand fluctuations, and the quantity of produce.Design/methodology/approachThe objective of the proposed model is to maximize supply chain profitability. Our model optimizes several critical decisions in the proposed global supply chain, including the location of domestic and foreign distribution centers, allocating the centers to customers, transportation mode selection, storage temperature, optimal farm purchase quantities, product flows across the network, and the shelf-life of products. Scenario-based stochastic programming approach is employed to account for the inherent uncertainties within the model. A pistachio supply chain is examined as a case study in this article, and the efficiency of the proposed model is demonstrated through computational results.FindingsThe model was solved using the CPLEX solver in GAMS and the results, the Sirjan DDC and Turkey FDC have been selected. In general, 40% of demand for customers from FDC (turkey) and 60% of demand from DDC (sirjan) is provided. Changes in the demand of foreign customers make the net profit more effective than changes in the demand for domestic customers. The decrease in exchange rate decreases the network profit with a higher slope and the increase in exchange rate will increase network profit with a relatively stable slope.Originality/valueWhile research on GSCs for perishable products has been ongoing for several years, the importance of the subject necessitates continued investigation in this area. This paper aimed to address this gap by presenting an optimization model for designing GSCs for perishable products under uncertainty and with various transportation modes. The proposed model was designed with the aim of improving supply chain performance and real-world applicability.

The Influence of TikTok EWOM on Purchase Intentions for The Originote Skincare Products

The aim of this research is to examine the impact of electronic word-of-mouth (eWOM) on TikTok regarding consumer purchase intentions for The Originote skincare products. The research targeted TikTok users interested in The Originote skincare products, with the total population being unknown. Utilizing the Cochran formula, the study sampled 273 respondents through purposive sampling to complete the questionnaire. The raw data were processed and analyzed utilizing SPSS version 23. The results reveal that The purchase intention for The Originote skincare products is significantly influenced by the quality of eWOM on TikTok. Similarly, the credibility of electronic word-of-mouth influences purchase intention, and The volume of electronic word-of-mouth on TikTok also exerts a significant influence on consumers' purchase intentions, Furthermore, the quality, credibility, and quantity of electronic word of mouth on the TikTok application collectively exerts a simultaneous influence on the purchase intention for The Originote skincare products. Given the rapid expansion of Indonesia's skincare industry and the growing importance of social media platforms such as TikTok, understanding how eWOM quality, credibility and quantity influence purchase intentions for The Originote skincare products, is critical.

The Influence of Location on The Decision to Stay at Swiss- Belhotel Harbor Bay

This study investigates the influence of hotel location on guests' decisions to stay at Swiss-Belhotel HarbourBay, a well-known hotel in Batam, Indonesia. The hotel offers all of the necessary amenities, and its workersprovide excellent service. The hotel's position, in a row of commercial shophouses in Harbor Bay and remotefrom major roads, is thought by hotel management to have an impact on the number of tourist visits, which isless than ideal. The study's goal is to research the relationship between hotel location and guest decision toremain, identify the important factors that influence guest decision to stay, and determine the impact on hotelroom sales. The study used a quantitative techniques methodology. The findings indicate that hotel location iscritical in deciding hotel location, with elements such as access, visibility, traffic, parking, and environment allinfluencing guests' decisions to stay. The study also identifies the factors that influence a guest's decision tostay, including product selection, brand selection, dealer selection, purchase timing, purchase quantity, andpayment method. The study's findings have major significance for hotel management, emphasizing thenecessity to shift hotel locations to boost overall hotel room sales. The alternative hypothesis is proven wherehotel location influences guest’s decision to stay with the formulation Y = 45.546 + 0.756X with a coefficient ofdetermination of 64.9%. This research suggests that hotels need to consider the location of a hotel beforebuilding a hotel so that it is easily accessible to potential guests.Keywords: Hotel Location, Guest’s Decision to Stay, Accessibility

Analisis Perilaku Konsumen Pembeli Thrifting dalam Perspektif Ekonomi Syariah: Studi Kasus di Pasar 3-4 Ulu Palembang

Understanding consumer behavior is very important. By understanding consumer behavior, marketers can provide and offer offers that can attract consumers' interest in purchasing Thrifting. The means used to carry out thrifting transactions are quite varied, namely they can be done online or offline. The type of research in this research is qualitative research. This research uses data collection techniques as follows: documentation, observation, interviews and literature study. The type of data used is primary data obtained from interviews with informants regarding consumer behavior of thrifting buyers from a Sharia Economics perspective, while secondary data obtained comes from books, journals and articles. The results of the analysis show that the consumer behavior of thrifting buyers is due to the good quality of the goods, the price is cheap, consumer behavior occurs due to the influence of friends, family or people around them, while the factors that influence the decision to purchase thrifting are the choice of branded products, brand, place of distribution, time of purchase. , purchase amount, and payment method

How a publicized leader transgression can affect member outcomes and gift purchasing of associated symbolic products

PurposeThis study aims to examine the ramifications of an unfavorable public incident resulting from an organizational leader’s transgression on member outcomes and their intentions to purchase associated symbolic products as gifts. This study also considers how members’ attributions of organizational control affect the relationship between members’ organizational identification and their purchase behavior.Design/methodology/approachThe study applies a longitudinal design involving two rounds of data collection over two years to examine a case of leadership transgression. Using the customer panel of a privately owned retailer, sorority members were surveyed before and after an unfavorable public incident involving their president. This study applied t-tests of mean differences and regression analyses to test the hypotheses.FindingsAfter the leader’s transgressions were publicized, sorority members exhibited lower levels of cognitive organizational identification, satisfaction with the organization and purchase intention of organizational gifts. The association between cognitive organizational identification and gift purchase intentions was stronger after the incident. Further, controllability attributions positively moderated the association between cognitive organizational identification and the intended purchase quantity of organizational products after the incident.Research limitations/implicationsThe sample limits the generalizability of the findings, as the study is conducted on one case of a leader’s transgression in an identity-based organization (IBO).Practical implicationsThe findings imply that efforts to repair customer identification should be taken rather than satisfaction enhancement when a leader of an IBO commits a public transgression.Originality/valueTo the best of the authors’ knowledge, this is the first study to apply identity threat theory to understand how an organizational leader’s public transgression affects member outcomes and purchasing. The findings imply that it is critical to repair members’ identification when these situations arise. The use of a real case and a longitudinal research design are rare contributions to this research stream.

How to Retain My Consumers? Investigating Incumbents’ Promotional Strategies Upon New Business Entry in the Online-to-Offline Context

ABSTRACT The online-to-offline (O2O) business mode has on-demand features to offer consumers instant fulfillment from a local store upon their online order. The O2O mode has attracted many more consumers recently. Using empirical evidence from a leading O2O platform in China, our study focuses on the market entry issue in the O2O context. Upon the new entrant entering the market, existing listed sellers implement a higher overall promotion to their consumers by enlarging the direct promotion extent but reducing the other types of promotions, including coupon, bundle, quantity, and gift promotions. However, the O2O platforms reduce the promotions level to the consumer orders from the existing listed sellers. The platform’s and existing listed sellers’ promotions increase consumers’ purchase frequency but lower their purchase amount per order. The extent of these impacts depends on the geographic location of the new entrant. Our findings provide guidelines for the O2O platforms and listed providers to implement appropriate promotion strategies to attract consumers when considering the impact of certain new providers entering the O2O market.

Determinants of Curly Chili Demand in Ambon City

This study aims to analyze the influence of curly chili prices, household income, and the number of household dependents on the demand for curly chilies in Ambon City using the multiple linear regression method. Primary data was collected through a survey of 300 households in Ambon City, with the dependent variable being the monthly purchase quantity of curly chilies, while the independent variables include the price of curly chilies, household income, and the number of dependents. The analysis results show that the price of curly chilies has a significant negative effect on demand, with an increase in price leading to a decrease in purchase quantity. Additionally, household income and the number of dependents also have a significant impact, where an increase in income and the number of dependents boosts demand. These results indicate the existence of complex interactions between these factors in shaping the demand for curly chilies in Ambon City, which need to be considered in policy planning and marketing strategies to maintain market stability and meet consumer needs.

Online Conversion with Switching Costs: Robust and Learning-Augmented Algorithms

We introduce and study online conversion with switching costs, a family of online problems that capture emerging problems at the intersection of energy and sustainability. In this problem, an online player attempts to purchase (alternatively, sell) fractional shares of an asset during a fixed time horizon with length T. At each time step, a cost function (alternatively, price function) is revealed, and the player must irrevocably decide an amount of asset to convert. The player also incurs a switching cost whenever their decision changes in consecutive time steps, i.e., when they increase or decrease their purchasing amount. We introduce competitive (robust) threshold-based algorithms for both the minimization and maximization variants of this problem, and show they are optimal among deterministic online algorithms. We then propose learning-augmented algorithms that take advantage of untrusted black-box advice (such as predictions from a machine learning model) to achieve significantly better average-case performance without sacrificing worst-case competitive guarantees. Finally, we empirically evaluate our proposed algorithms using a carbon-aware EV charging case study, showing that our algorithms substantially improve on baseline methods for this problem.

Market for light industry products: current changes and development trends

This article analyzes the current state of the light industry products market, its promising directions and development trends. Key market indicators, characterized by a decrease in demand in 2022, but an increase in the «average purchase amount» indicator, were identified. In addition, the role of the main trends (changes in the legislative framework and the transition to sustainable fashion) in facilitating the entry of new companies into the market is noted.

Fashion clothing interest and purchase intention of young women consumers of India.

The study of consumer purchase behavior is important to understand the consumer purchase pattern, quantity and motivations of purchase. This research therefore tries to understand the role of socio-psychological factors and gender schema in determining the fashion clothing interest, and purchase motivation of emerging adult women consumers of India. Responses tabulated through a self-administered questionnaire from 200 women consumers aged 18-24 across India, were analyzed using structural equation modeling and Hayes's (2017) macro process to establish clothing uniqueness, self-concept, brand image, word of mouth and perceived quality as antecedents of women's fashion clothing interest resulting in positive purchase motivation with price consciousness acting as a moderator between both. The resulting model depicts a significant positive relationship between clothing uniqueness, self-concept and brand image on emerging women consumers clothing interest, while the interaction of word of mouth and perceived quality was not significant on clothing interest. Hayes's analysis described a significant moderating role played by price consciousness on young women clothing interest and purchase intention with price consciousness dampening consumers purchase intention despite having a clothing interest. The output of the study highlights the predictor of clothing interest for young women consumers in an area not well defined until now an will enable brands to establish business strategies to gain patronage and brand loyalty of young emerging generation Z consumers in emerging economies accordingly

Development of Gold Inks for Inkjet Printing of Gas Sensors Electrodes on Plastic Support

Among the conventional inks used for inkjet printing, metals, oxides, or polymers have been deposited in order to form functional coatings. Gold is one of the most used metals for electrode fabrication in the gas sensor field due to its inert behavior when exposed to reactive gases and conductive properties. However, only a few commercial gold inks are commercially available, and the combination of excessive price, a high minimum purchase quantity, and an unknown composition renders the actual products unappealing. To meet these shortcomings, gold inks were formulated with different solvents in order to reach sufficient properties for the inkjet printing process, such as surface tension and viscosity. On the one hand, gold ink was developed using a gold nanoparticle (AuNP) solution as the metal. This ink was optimized from nanoparticle synthesis, with the ink formulation obtaining a 32 mN·m−1 surface tension and 11.2 mPa·s viscosity in order to be inkjet-printed onto polyimide foil. On the other hand, a particle-free ink, called a precursor based of ink, was also developed. In this case, ink was made by solubilizing gold salt in aqueous medium in order to reach jettable properties. Surface tension was measured at 32 mN·m−1 while viscosity was 14.0 mPa·s. Then, printing and deposition parameters were optimized in order to obtain a highly conductive gold coating. The measured resistivity was 2 × 10−7 Ω·m which is close to the bulk gold conductive value. These coatings could be used for the fabrication of various devices in different working fields.

Materials inventory optimization using various forecasting techniques and purchasing quantity in packaging industry

Purpose: This paper studies the problem that occurs on material purchase quantity in price uncertainty situation. Larger buying quantity when the price at high will increase the purchase amount while smaller buying quantity could risk the inventory level. The decision on the purchase quantity of a cycle takes future price as input from price prediction output.Design/methodology/approach: This paper examines five price prediction models, Classification and Regression Tree (CART), Random Forest Regressor (RFR), Support Vector Regressor (SVR), Seasonal Autoregressive Integrated Moving Average (SARIMA) and Long Short Term Memory (LSTM) to predict four Petrochemical products, Linear Low Density Polyethylene (LLDPE), Low Density Polyethylene (LDPE), Biaxially Oriented Polypropylene (BOPP) and Cast Polypropylene (CPP) using dataset built from weekly datapoints from January 2020 to June 2023. The most performing model is validated with data from July 2023 to September 2023 where the prediction result is fed into Linear Programming Simplex method to minimize the amount of purchase by making advanced or postpone orders.Findings: Result that RFR performs higher at most products tested, while SVR performs higher in LDPE product. The fitting of RFR and SVR models prediction, as predicted price to Linear Programming that decides optimum purchase quantity, delivers a total 2.2% of purchase amount reduction compared to original purchase quantity reflecting base scenario issued by the planner.Research limitations/implications: This study does not include additional prediction factors such as freight cost and the hyperparameters tuning studies on the existing factors.Originality/value: The novelty of this paper is prediction value is followed up by an optimization model that would guide the Procurement team decisions for future anticipation because imported raw materials should be purchased ahead of time. This research will provide a scientific approach input that would counterbalance or strengthen decision making that is typically made by individuals owning years of experience. This combined approach is rarely researched and has not been done to polymer products.