Purchase Quantity Research Articles

What matters for international consumers' choice preferences for smartphones: Evidence from a cross-border ecommerce platform.

Despite the growing impact of smartphone use on countries' economies, the literature has rarely investigated the link between economic context and smartphone purchase trends. Based on 20,556 smartphones sold from a Cross-Border E-Commerce (CBEC) platform, the study reveals that relationships between GDP per capita and Smartphone Choice Preferences (SCP) as well as Purchase Quantities (PUR) are direct and partially mediated by Price (PRI), Read-Only Memory (ROM), and Random-Access Memory (RAM). That means that the economic context highlighted by the GDP plays a substantial role in smartphone choices and purchases. The study suggests that e-sellers and smartphone brands should adapt their marketing and manufacturing strategies to the countries' economic contexts to leverage the fearless competition in the smartphone industry.

Environmental Impact Assessment of Undergraduate Apparel Consumption Behavior

Lifestyle changes have altered the consumption behavior of people. As one of the most energy-intensive and energy-consuming activities in the apparel consumption process, laundry and clothes drying have a significant impact on the environment in terms of carbon emissions and water consumption. Undergraduates are a special category of people whose worldviews are in the developmental stage, and it is important to study and develop their beliefs and behaviors regarding environmental consumption. This study investigates and evaluates the relationship between undergraduates’ consumption behaviors and environmental impacts. The 125 undergraduates in Hangzhou, China are classified into three different washing modes: H-mode (hand-washing only), M-mode (machine-washing only), and HM-mode (hand- and machine-washing) on the basis of their washing behavior. The environmental impacts including water footprint and carbon footprint of undergraduates are calculated by the methods of direct consumptive carbon footprint ([Formula: see text]) and direct consumptive water footprint ([Formula: see text]). The results show that the factors leading to the environmental impacts of Hangzhou undergraduates’ apparel consumption behavior are: washing frequency, consumer knowledge, washing method, drying frequency and method and clothing purchase quantity. It also reveals that higher washing and drying frequencies can lead to more energy and water consumption, which ultimately result in more severe environmental impact. Besides, consumer knowledge, washing and drying method do have a significant influence on undergraduates’[Formula: see text] and [Formula: see text]. Understanding the factors that influence undergraduates’ apparel consumption behavior can help cultivate their environmental awareness as well as provide guidance to the government and universities in identifying the environmental impact of undergraduates’ clothing consumption.

Analysis of Consumer Preferences and Willingness to Pay for Misshapen Horticultural Commodities

This research is conducted in considering that large number of misshapen horticultural commodities that are not considered by consumers due to the shape and/or other characteristics inherent in horticultural products in vegetable and fruit commodities, such as suboptimal physical conditions, different sizes, and unattractive colors that affect consumer preferences in buying them, although the nutritional content is not different from physically perfect products. The purpose of this study are to 1) analyze consumer preferences for suboptimal agricultural products, 2) analyze consumer willingness to pay (WTP) for suboptimal products. Further, conditional logit analysis is used to analyze consumer preferences using maximum likelihood estimation (MLE) approach, while Marginal Willingness to Pay or MWTP method is used to analyze consumer willingness. The result, the consumer preference on papaya commodities was based on optimal performance, no message framing, available in traditional markets and the amount of purchase exceeded one kilogram. Tha for cucumber, consumers preferred to buy it by considering optimal performance, without message framing, and available in traditional markets. The WTP value on papaya and cucumber indicates that the average WTP value for suboptimal products was lower than the optimal products. The WTP value for the optimal papaya was higher than the suboptimal papaya. For cucumber, the WTP value for the optimal cucumber was higher than the suboptimal product. We suggest producers should set the price cheaper for suboptimal products to compete in the market and reduce the amount of waste.

Analisis Pembukuan Sederhana terhadap Pengelolan Cashflow UMKM di Desa Ciangsana, Kecamatan Gunung Putri, Kabupaten Bogor

Micro, Small and Medium Enterprises are one of the pillars of the people's economy in which most small and medium entrepreneurs come from family or home industries. This study aims to find out and analyze how the influence and application of simple bookkeeping has on cash flow management in MSMEs in the Ciangsana Village environment. The research method used in this study is a mixed methods research method and the research design to be used is a concurrent/parallel design. The researcher distributes questionnaires to 30 respondents and the data will be processed using SPSS. In addition, the researcher will conduct interviews with 5 respondents to provide interpretations of the research results both quantitatively and qualitatively. The results of the data analysis show that simple bookkeeping (X) has a positive effect on cash flow management (Y) and obtains a coefficient of determination of 72%. This can be interpreted that the X variable (simple bookkeeping) has a contribution effect of 72% on the Y variable (cash flow management). From the results of the interviews, it was found that so far the recording activities were carried out only to find out expenses and income and calculate profits. It was found that MSME actors only make a simple record, where the record shows the amount of purchases (capital goods) and sales (sales turnover). Until that stage alone, and even then it is not as contained in the literature or established accounting standards. That is, the financial records that are applied do not follow the stages in the accounting cycle, and these records can only be understood by the MSME actors themselves Knowledge and information regarding simple bookkeeping, is still minimal among MSME actors, so that in the future, training and assistance is needed for MSME actors, especially in the field of financial recording and reporting and efforts so that MSME actors have sufficient knowledge in carrying out their business activities.

How does the insurer's mobile application sales strategy perform?

AbstractWhile the impact of an Internet‐based sales strategy on sales performance has been well studied, there is little academic research that examines the impact of a mobile application (MA) sales strategy on the sales performance of insurers. Using a unique data set for term life insurance policies from a Chinese life insurer, we study the impact of implementing this strategy on insurance purchases. We find a significant growth in the insurance purchase quantity and somewhat lower growth in premiums received from new policies. This paper determines that this is due to improved channel accessibility and the cost reduction of the MA channel. Although sales of traditional distribution channels are cannibalized in the short term by the MA distribution strategy, this substitution effect does not persist in the long run. In addition, we find that this strategy reduces impulsive purchases.

The impacts of COVID-19 measures on drug markets and drug use among a cohort of people who use methamphetamine in Victoria, Australia.

Few studies of the impacts of the coronavirus disease 2019 (COVID-19) public health measures on drug markets and drug use patterns have used longitudinal data. We aimed to examine whether COVID-19 measures were associated with increases in methamphetamine price, decreases in methamphetamine use frequency and subsequent changes in secondary outcomes of other drug use frequency in metropolitan Melbourne and regional Victoria. Longitudinal analysis framework was used from a longitudinal cohort of people who use methamphetamine. Victoria state, Australia. One hundred eighty-five VMAX study participants who reported a methamphetamine purchase after the onset of the pandemic were used for the price paid analysis. Methamphetamine or other drug use frequency analysis was performed using 277 participants who used methamphetamine during the pandemic or in the year before the pandemic. Price paid per gram of methamphetamine derived from the most recent purchase price and most recent purchase quantity. Frequency of methamphetamine and other drug use measured as the average number of days per week used in the last month. Compared with pre-COVID-19 period, methamphetamine prices increased by AUD351.63 (P value <0.001) and by AUD456.51 (P value <0.001) in Melbourne and regional Victoria, respectively, during the period in which the most intense public health measures were implemented in Victoria. Although prices decreased after harder restrictions were lifted (by AUD232.84, P value <0.001 and AUD263.68, P value <0.001, in Melbourne and regional Victoria, respectively), they remained higher than pre-COVID-19 levels. A complementary 76% decrease was observed in relation to methamphetamine use frequency in regional Victoria (P value = 0.006) that was not offset by any changes in the frequency of use of other drugs such as alcohol, tobacco or other illicit drugs. COVID-19 public health measures in Victoria state, Australia, appear to have been associated with major price changes in the methamphetamine market and decreased frequency of use of the drug.

ЙМОВІРНІСНІ МОДЕЛІ ВИРОБНИЧИХ ЗАПАСІВ НА ПІДПРИЄМСТВІ

When managing production or commodity stocks, two main questions arise: when to replenish the stock and what should be its optimal size. The purpose of this study is to build a probabilistic model, which can be proposed as a new inventory model, with the help of which the relationships between the period factors between the purchase of parts and their shelf life, which affect inventory management, are established. Research methods are based on the approach using continuous distribution laws. The size of the reserve of parts is calculated depending on the established risk factor. Using the statistical method, point estimates were found for the studied parameters: average and root mean square deviation. A histogram of relative frequencies between the dates of two consecutive purchases is constructed. Critical areas for the studied parameters are illustrated. The value of the difference in days between the purchase of parts and the amount of the purchase of parts, which correspond to the normal laws of the distribution of random variables with the appropriate parameters, as well as the critical values of the need for parts in the production process, were calculated. The size of the parts reserve was found, which corresponds to the normal distribution law, depending on the established risk factor. For different values of this coefficient, the value of the difference in days between purchases of parts, the amount of purchases and the reserve of parts, which correspond to the distributions of random values, as well as the critical value of the need for parts in the production process to avoid production downtime are given. Using the central limit theorem, it is shown that the purchase volume of parts and the volume of used parts are normally distributed. Taking into account the degree of uncertainty associated with the structure of demand and the time of use of stocks at the enterprise, the authors chose probabilistic models that make it possible to flexibly change simulated demand and take this into account in forecasting. The research concluded that the probabilistic approach is the basis for forecasting inventory management at the enterprise, which takes into account the risks associated with determining the optimal need for raw materials at the enterprise.

Customer satisfaction and sale performance in New York State brewery tasting rooms

AbstractThe US craft brewery industry has grown steadily in recent years before the 2020 COVID-19 pandemic. The majority of small, independently owned craft breweries rely on tasting rooms for revenues and profits. Using data collected from a survey of tasting room visitors from 21 craft breweries in New York, this research investigates factors influencing visitors’ customer satisfaction (CS) and the link between brewery tasting room CS and sales performance. The results show that brewery interior ambience, beer tasting execution, and friendliness and knowledge of servers are the main factors influencing CS in tasting rooms. Furthermore, results suggest that higher CS levels increase visitors’ purchase likelihood and beer purchase amounts (by volume and value). These findings indicate that breweries should focus on such factors as strengthening staff training, enhancing tasting room ambience, and improving beer tasting execution that have the highest positive influence on CS to increase sales. This study has implications for the rapidly growing craft brewery industry in the USA.

The effects of signaling blockchain‐based track and trace on consumer purchases: Insights from a quasi‐natural experiment

AbstractBlockchain‐based track and trace (BCT) is increasingly adopted in the retail supply chain. However, there is little rigorous empirical evidence quantifying the effects of BCT on consumer purchases or examining the heterogeneity of these effects with varying product‐related characteristics. Employing transactional data from a leading global e‐retailer that contains 540 stock keeping units (SKUs), we design a quasi‐natural experiment spanning 80 weeks to estimate the signaling effect of BCT (i.e., disclosure of the BCT to consumers) on consumer purchases. Drawing on the signaling theory, we propose that BCT can serve as an effective and reliable signal of the product quality and trustworthiness of the retailer. Our research uncovers significant positive effects of BCT on the average purchase quantity per buyer, the total number of buyers, the number of new buyers, and the number of unique visitors to the traced products. We also find nuanced moderation effects for two product‐related characteristics—namely, consumer review inconsistency and product origins—on the influence of BCT on consumer purchases. Specifically, the signal effectiveness of BCT is stronger for products with more inconsistent customer reviews that indicate greater information asymmetry. The effect of BCT for products sourced globally is magnified because of the high BCT signal reliability attributed to the unique properties of the blockchain. The heterogeneous effects of BCT by varying product‐related characteristics can inform managers in selecting the right products to implement BCT.

Bi-layer game method for scheduling of virtual power plant with multiple regional integrated energy systems

Regional integrated energy system (RIES) can be connected with the virtual power plant (VPP) through power tie line, and participate in the VPP demand response dispatch. In order to improve the benefit of VPP and RIES, a bi-layer game method for scheduling of VPP with multiple RIES is proposed. The upper layer is the master-slave game between VPP and RIES-coalition. VPP guides RIES-coalition to formulate purchase and sale power quantity strategy, in response to the power demand scheduling of VPP by the power purchase and sale price incentive policy. The lower layer is cooperative game among RIES-coalition members. Within the RIES-coalition, a multiple energy optimization and coordination scheduling strategy was established to meet the “electrical/ heating/ gas” load demand of each RIES, and cooperation benefits are shared among members based on Shapley value method. CIQPSO algorithm is used to solve the Nash equilibrium point of the game model, namely, the optimal power price strategy of VPP and the optimal purchase and sale power quantity strategy of each RIES. The results of example show that the proposed strategy can improve the peak shaving and valley filling effect of VPP, maximize the benefit of RIES-coalition, and ensure the reliable operation of VPP.

Optimal pricing strategy of retailers considering speculative customers’ add-on items return behavior with cross-store full-reduction promotion

This purpose of the paper is to explore the optimal price strategy for the retailers under the cross-store full-reduction promotion mode, where speculative consumers will deliberately purchase add-on items to qualify for discounts when the purchase amount is less than the “full-reduction” threshold and then return the add-on items after successful payment. With respect to the optimal decision problem consisting of two online complementary retailers and an e-commerce platform in the face of speculative consumers’ add-on items return behavior, we construct the single-cycle sales decision models based on the revenue sharing contract. Furthermore, through the derivative function analysis method, we examine the effect of the proportion of speculative consumers, the proportion of product sharing discount amount and revenue sharing coefficient on the platform’s sale strategy and the retailers’ the optimal price strategy. The results show that whether platform implements cross-store full-reduction promotion strategy or not, the product price increases with the increase of revenue sharing coefficient. In addition, under the non-promotion sales mode, the optimal price is not affected by the speculative consumers’ behavior. Under the cross-store full-reduction promotion sales mode, the optimal price changes with the proportion of product sharing discount amount and the proportion of speculative consumers. And the price of only purchasing single product in this case is always higher than the price under the non-promotion sales mode. Finally, we compare the profits under the two scenarios, it is found that the profits under the cross-store full-reduction promotion sales mode are not always higher than that under non-promotion sales mode and the boundary conditions for the platform to adopt different modes are further given.

Management Research of Secondary Warehouse of Medical Consumables in Operating Room by Using TRM Method under Support of Smart Healthcare

To explore the application effect of the team resource management (TRM) mode in the management of the secondary warehouse of medical consumables in the operating room based on the support of smart healthcar. Using the TRM management method， a new mode of intelligent management of medical consumables in the operating room was implemented to form a complete closedloop management process of medical consumables through the unique identification (UDI) and radio frequency identification (RFID) scanning technology of smart medical. The average purchase amount of high-value consumables for each operation in the operating room of the hospital decreased by 6.2%, the proportion of low-value consumables used decreased by 32%, and the efficiency of supplier distribution increased by 11.7% in 2021. The cumulative reduction in medical costs is more than 40 million CNY. Based on the new management model of the secondary warehouse of medical consumables in the operating room by using the TRM method under the support of smart healthcare, the team cooperation has been strengthened, and the management level of medical consumables in the operating room has been effectively improved.

MANAJEMEN PERSEDIAAN BAHAN BAKU UBI CILEMBU PADA INDUSTRI RUMAH TANGGA ANEKA OLAHAN UBI CILEMBU KHAS MA UTIK SUMEDANG JAWA BARAT

Aneka Olahan Ubi Cilembu Khas Ma Utik is a home industry that processes Cilembu sweet potatoes into food products, namely sweet potato chips. This home industry has not used the optimal inventory management method for purchasing raw materials so the supply of raw materials for producing sweet potato chips is lacking. This problem needs to control inventory to get optimal inventory of raw materials. The purpose of this study was to analyze the inventory of raw materials according to the Home Industry and the inventory of raw materials according to the EOQ method and the comparison of the raw material inventory system of the Home Industry with the Economic Order Quantity Method. This study uses a qualitative descriptive research design with case study techniques. The results showed that this home industry made purchases of raw materials for cilembu sweet potato as much as 11,760 kg/year with a purchase frequency of 12 times, the total inventory cost incurred was Rp. 7,980,000. Safety stock is not carried out due to shortage of raw materials. The reorder point is made when 150 kg of raw material remains, while according to the Economic Order Quantity (EOQ) method, the optimal purchase of raw materials reaches 15,777.78 kg/year with a frequency of 12 times per a year. The total cost of inventory incurred is Rp. 5,634,839.9/year. Raw materials that need to be reserved are 116.7 kg/month. The reorder point is carried out when the remaining raw materials are 279.7 kg / month, therefore the Economic Order Quantity (EOQ) method can reduce the cost of inventory incurred and determine the optimal amount of raw material purchases.

Customized Dynamic Pricing When Customers Develop a Habit or Satiation

In Dynamic Pricing with Customer State Dependence, Wen Chen, Ying He, and Saurabh Bansal discuss optimal prices that a firm should offer to customers who develop a habit or satiation from consumption. At a high discount (or equivalently a lower price), a habit-prone customer will purchase a large amount in a current period. The firm will earn a low revenue per unit on the amount bought by the customer in this period. However, this large purchase will also create a stronger habit in the customer that the firm can exploit in the future periods. At a low discount, the firm will earn a higher per unit revenue in this period. However, the lower purchase quantity will also result in a weaker habit in the customer for the future periods. This tradeoff exists in every period. These effects are reversed for a satiation-prone customer. Using an analytical model, the authors determine the optimal profit-maximizing dynamic prices that a firm should offer to such habit- or satiation-prone customers. The results are robust for various specifications for habit formation, and yet in each specification they are obtainable tractably.

The Impact of Distribution Channel Towards Sales Volume at PT. Domas Intiglass Perdana Tanjung Morawa

Besides having a good quality of product, the company has to know how to bring the product to the customers. It is useless if the company offers a good product but the customers are not able to obtain it easily and conveniently. To overcome that kind of problem, the company has to pay attention to the distribution channel. PT. Domas Intiglass Perdana Tanjung Morawa has an intermediatery (wholesaler) which is its subsidiary company to distribute the products. They got many complaints from the customers (retailers) such as there is a minimum amount of purchases, make delays in delivery, have a few types of products and lack of supporting service. The objective of this research is to assess the impact of distribution channel towards sales volume in the company as well as to determine how strong the impact between both of them. In conducting the research, the writer has chosen the descriptive study. To gather the data needed, the writer distributes questionnaires which consist of 10 questions to 52 samples. In this research, the writer used two variables, which is Distribution Channel (Variable X) and Sales Volume (Variable Y). Then the data will be tested and the results of the data are valid and reliable. The result for this study shown that there is impact of distribution channel towards sales volume at PT. Domas Intiglass Perdana Tanjung Morawa. It can be seen from the result of the test of determination which is 52.5%. It means the impact of distribution channel toward sales volume is as large as 52.5%. We can also see from the result of z hypothesis where 5.18 (zcount) &gt; 1.96 (ztable). This means the null hypothesis (Ho) is rejected. So the writer can conclude that the distribution channel has impact towards the sales volume at PT. Domas Intiglass Perdana Tanjung Morawa.

The impact of Bank of Japan’s exchange-traded fund purchases

The Bank of Japan (BOJ) enhanced its large-scale asset purchases in October 2010 by purchasing equity exchange-traded funds (ETFs). This study is the first to demonstrate that the BOJ provides downside protection for stock prices through the countercyclical purchase of ETFs. The BOJ responds to a large negative stock return during the overnight and morning periods, and submits purchase orders during lunchtime. Using the BOJ’s March 2020 announcement of doubling the annual purchase amount during the COVID-19 pandemic, this study also finds that the announcement effect is small and temporary. In contrast, the flow effect of the actual purchases is significant and increases. The BOJ’s countercyclical ETF purchase prevents equity risk premia from rising during an economic downturn.

Analisis Keputusan Pembelian Konsumen Melalui E-Commerce Shopee Di Kota Bandung

The development of technology today has a considerable influence on the community, one of the frequent influences in society today always wants everything instant to just go shopping, sometimes lazy to do. E-commerce is one of the examples of technological developments and is a place of online buying and selling transactions that are much in demand today. Shopee is one of the e-commerce that provides a place to bring together sellers and buyers to make transactions online and become one of the most visited e-commerce. This research was conducted to know the decision of consumer purchase through Shopee e-commerce in Bandung. Data is obtained by spreading the questionnaire through Google form. The research method used is a descriptive analysis method with a quantitative approach. The data analysis methods used are validity testing, reliability testing, and descriptive testing. Based on the results of the study, consumer purchasing decision through Shopee e-commerce consists of six dimensions: product selection, brand selection, distributor options, purchase time, purchase amount, and payment method which is consistently included in the strong category of determining purchase decisions with a value of 3.73. The highest dimensions are product selection dimensions and the lowest dimensions are payment method dimensions.

Do environmental factors affect the market atmosphere and the amount of purchases and customer attitudes

Do environmental factors affect the market atmosphere and the amount of purchases and customer attitudes

Do environmental factors affect the market atmosphere, amount of purchases and customer attitude

The purpose of this study is to investigate the effect of environmental factors on the atmosphere of chain stores in Iran as well as the effect of the related atmosphere on customers' attitude and purchase intention. A five-point Likert scale questionnaire was used to collect the data. The questionnaire was distributed among 220 customers who purchased from Iranian stores in the autumn of 2019. Data analysis was performed using the structural equation method. The obtained Cronbach's alpha for all constructs was above 0.7 and the extracted mean of variance was greater than 0.5; hence, the validity and reliability were confirmed. The findings of this study showed that lighting, entertainment, and cleanliness have a significantly positive effect on customers' attitudes regarding the mall atmosphere. In this respect, it was also found that the mall atmosphere has a significant effect on the purchase intention. Moreover, the customers' attitudes as well as the customers' intention have a significant and positive impact on the purchase intention.

"That's Pot Culture Right There": Purchasing Behaviors of People Who Use Cannabis Without a Medical Cannabis Card.

The legal landscape surrounding purchasing cannabis without a medical cannabis card (i.e., without MCC) is changing rapidly, affecting consumer access and purchasing behaviors. Cannabis purchasing behaviors are related to subsequent use and experiencing greater cannabis-related negative consequences. However, purchasing behaviors of individuals who use cannabis without MCC are understudied. The current study analyzed qualitative data from focus groups with adults who use cannabis without MCC (n = 5 groups; 6-7 participants/group; n = 31 total participants). Focus groups followed a semi-structured agenda, and were audio recorded and transcribed. Two coders applied thematic analysis to summarize topics pertaining to cannabis purchasing attitudes and behaviors. Focus groups occurred in 2015 and 2016 in Rhode Island, when purchasing and use of cannabis without MCC was decriminalized but still considered illegal. On average, participants (72% male) were 26 years old (SD = 7.2) and reported using cannabis 5 days per week (SD = 2.1). Thematic analysis revealed three key themes related to cannabis purchasing behaviors: (1) regular purchasing routines (i.e., frequency, schedule, amount of purchases), (2) economic factors (i.e., financial circumstances), and (3) contextual factors (i.e., quality of cannabis, convenience/availability) were perceived to influence purchasing decisions. Dealers' recommendations affected participants' purchases, who also reported minimal legal concerns. Participants reported saving money and using more cannabis when buying in bulk. Purchasing behaviors were found to vary and were perceived to be affected by individual-level (e.g., routines) and contextual factors (e.g., availability) that, in turn, may impact use patterns. Future research should consider how factors (e.g., availability) that differ across contexts (e.g., location) and demographic groups interact to affect purchasing behaviors.