Average Purchase Research Articles

PERSEPSI KONSUMEN MENGENAI PERIKLANAN DAN PENGARUHNYA TERHADAP MINAT BELI DI MARKETPLACE SHOPEE

Advertising via mass media or social media requires large costs so that the advertising is attractive and effective. Effective advertising can help companies build positive perceptions among consumers so that they can maintain and increase purchasing interest to increase company revenue and profits. The research objectives are: 1. To find out consumer perceptions regarding the quality of Shopee marketplace advertising, 2. To find out about consumer buying interest in the Shopee marketplace, 3. To find out and analyze the influence of advertising on buying interest in the Shopee marketplace. In this research, it was conducted for consumers using the Shopee marketplace application with a sample size of 100 people, the questionnaire was sent via Google Form. The analysis model in this research uses descriptive statistics (average and percentage) and is continued with simple linear regression analysis. Based on the analysis results, namely: 1. Average Shopee marketplace advertising quality = 4.52 (highest value = 5), 2. Average purchase interest = 4.43 (highest value = 5), 3. Advertising has a significant effect and shows positive influence on buying interest in the Shopee marketplace.

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.

Analisis Pengendalian Persediaan Bahan Baku Kacang Koro pada Produk Abon Menggunakan Metode Economic Order Quantity dan Desain Kemasan di UMKM Surya Abon

This research aims to produce compatibility between the policies of Abon Surya with the Economic Order Quantity raw material control method, namely the purchase quantity of the Abon Surya policy has an average purchase of 770 kg, for the frequency of purchasing raw materials for jack beans 5 times, for security and point supplies. There is no reordering policy with a total inventory cost of IDR 251,640. Meanwhile, the EOQ method has an average purchase of 1,313 kg. the purchase frequency is only 3 purchases, the security inventory is 90 Kg and the number of reorders is 204 Kg with a total cost of inventory required of IDR 173,254. The cost difference between Abon Surya and the EOQ method is IDR 78,386,417. This shows that there is a saving or reduction in the total cost of inventory needed if Abon Surya can implement the EOQ raw material control method. Apart from that, the packaging used at UMKM Surya Abon for shredded products still uses transparent plastic with stickers, which is less attractive to buyers. Therefore, a new design is needed to attract more buyers.

The Value of Political Connections of Developers in Residential Land Leasing: Case of Chengdu, China

The graduate approach applied in China for the economic transition poses the risk of continued government influence on the market. The land reform and the following adjustment in China have introduced a seemingly complete market for residential land. However, a widely practiced coalition between the local developmental states and developers might impact residential land leasing in a more hidden way. Taking central Chengdu as the study area, this study takes the enterprise ownership and affiliations as two explanatory factors that impact the land leasing prices and builds an MGWR model to evaluate the premium of political connections for the developers to obtain the land. The result gives a clue to the local protectionism and preference for state-owned enterprises that might exist in land leasing in Chengdu. It is proved in this study that the average purchase price by state-owned enterprises is 8.9% lower than the prices that private enterprises could enjoy, and the average land leasing price by local enterprises is 14.2% lower than that enjoyed by non-local enterprises. The preceding conceptual and empirical discussion in this study advocates for a review and rethinking of the public sector’s intervention in China’s land market. In-depth analyses of the factors that define the land leasing behaviors of the local government are needed.

Research on superstore vegetable replenishment decision-making based on time series and PSO particle swarm algorithm

Because vegetables are easy to wear and tear and not easy to store, supermarkets will replenish vegetables every day. In order to make reasonable replenishment and pricing decisions, this paper firstly correlates the total sales data with other data, and finds that the total sales data is negatively correlated with the average purchase price and average selling price, and positively correlated with the number of discounts, and then adopts the Feedforward Neural Network model, the Evenberg-Marquardt training algorithm, and the time series analysis prediction to predict the total daily replenishment and pricing policy of each vegetable in the coming week. Marquardt training algorithm, time series analysis and forecasting, predicting the total daily replenishment and pricing strategy of each vegetable in the coming week, and at the same time, adopting the method of dynamic planning, through the use of particle swarm algorithm of PSO to solve the total replenishment of each category and pricing strategy, and then iterated to get the total daily replenishment of each category of commodities and pricing strategy in the coming week.

SIKAP, KEPUASAN DAN LOYALITAS KONSUMEN SUSU SEGAR YU-ONE MILK DI KOTA BANDAR LAMPUNG

This research aims to determine the attitudes, purchasing patterns, satisfaction, and loyalty of fresh milk consumers of Yu-One Milk at Jalan Sultan Agung, Way Halim, Kedaton District of Bandar Lampung City. The research method is a survey. The number of respondents in this research are 60 people, selected by non-probability sampling technique, namely accidental sampling. The research data are analyzed by quantitative descriptively using the Fishbein multi-attribute model, Customer Satisfaction Index (CSI) and the loyalty pyramid. Data collection was carried out in October-November 2022. The results showed that the consumers’ attitude toward multi-attribute of Yu-One Milk fresh milk was in the good category, in which score was 181.72 and the most favored attribute by consumers was friendliness services. Most of Yu-One Milk consumers (25%) bought fresh milk with chocolate flavor variants. The average frequency of purchasing Yu-One Milk fresh milk was twice per month with a purchase expenditure of IDR 51,883.00/month. The average purchases amount of Yu-One Milk fresh milk was 1,377 ml/month with the purpose of purchasing to eliminate hunger/thirst (46.67%). Yu-One Milk fresh milk consumer satisfaction was in the very satisfied category with a CSI value of 83.61. Yu-One Milk consumer loyalty was quite good in the form of an inverted pyramid. The switcher buyer value was 46.67%, the habitual buyer value was 48.83%, the satisfied buyer value was 90.00%, the liking the brand value was 86.67% and the committed buyer value was 83.33%. Keywords: attitude, consumer loyalty, fresh milk, purchase pattern, satisfaction.

LATVIAN FOOTBALL FANS ATTITUDES, INTENTIONS AND BEHAVIORS TOWARDS SPORT LICENSED PRODUCTS

The current research show first part of brand architecture and brand association, how are integrated to examine the role of the league brand on the relationship between the role of league brand consumer's support for individual teams is important for the successful management and marketing with licensed products of both leagues and teams. As this paper will show, professional sports teams unite to produce a league product that, while initially produced to provide entertainment for spectators, is now sold to four distinct groups: fans, associations, communities, and corporations. Justification and aim of the study. Income from licensed products is considered particularly important for football teams survival around the world. To date the research on the perceptions of sport team fans on the licensed football team products is scarce and particularly in the Baltics countries. In this line the present study was set to investigate the purchase intentions and behaviors towards licensed products as well as perceptions of experience, aesthetics and word of mouth for Latvian football fans. Material and methods. A self-completed online questionnaire was used for the purposes of the research and a total sample of 54 football team fans in Latvia was collected. Descriptive statistics, including frequencies, percentages, means, medians, standard deviations were calculated, Cronbach's α coefficient was also used to explore the reliability of the constructs. The analysis was run using the statistical program SPSS. Conclusions. The results revealed average purchase intentions and experience from the licensed products, while aesthetics and word of mouth were evaluated higher. The majority of the participants had bought licensed products of their favorite team. This study contributes to the existing theory and offers practical implications particularly for football teams that aim to increase their income by investing in the licensed merchandise.

The positive effects of digital media design combined with AI intelligence on art brand planning and promotion

Abstract With the development of science and technology, digital media and AI intelligence are currently spreading to the traditional brand planning and promotion business, and more and more brands will adopt an empowered brand promotion business in the future. This paper is based on natural language processing and other AI intelligent technology, which includes image, copy, comment, and audio data processing for advertising promotion intelligent creation systems. Combined with the characteristics of art brand planning and promotion, based on the principle of comprehensiveness and importance, it constructs a system of factors influencing digital media and AI intelligence on brand promotion from the four dimensions of brand product, brand capability, brand market, and brand support. The results show that the average purchase intention index of the brand promotion mode integrating digital media and AI intelligence is 4.9710, which is significantly higher than that of the traditional promotion mode, which is 4.1354. This study can help art enterprises identify the relationship and key elements between the influencing factors of brand promotion and guide brand enterprises to implement more targeted brand planning and promotion strategies.

What are the Primary Drivers of Marketing Success?: Evidence From Brand-Level Data on Restaurants

A multivariate analysis of brand level data from the restaurant industry found that penetration increased with number of units for limited and full service restaurants (LSRs and FSRs) and with customer service experience ratings for FSRs. For both types of restaurants, average purchase frequency increased reliably with the number of units and with perceived value, but not with broader customer experience ratings or the existence of a reward program. Finally, average check size increased with service experience but only for FSRs. Given that brands differ much more in penetration than in average purchase frequency or average check size, these findings suggest that marketing success comes primarily from increased physical and mental availability, with brand differentiation, but not reward programs, also contributing to that success.

“Acquire and leave”: Effects of startups acquisitions by digital ecosystems

Digital ecosystems penetrate many areas of modern life, they integrate many services and are growing partially through acquiring start-ups. These can lead to a rise of their market power, which in turn has caused the increased attention of antitrust regulators in recent years . The new changes into the Russian antitrust law contain the requirement for scrutiny for mergers above 7 billion of rubbles. This additional criterion is designed to include the acquisitions of startups by digital ecosystems that currently do not need to be announced to the Russian antitrust service. As for economic literature, there is no consensus on the way mergers with startups affect markets, in particular, venture capital market. The purpose of this work is to assess the effects of mergers of digital ecosystems with Russian startups in different niches of the venture investment in these niches. Methodologically, our study is based on economic theory and particularly on industrial organisation, antitrust economics; we also use econometrics while estimating causal inferences. We perform econometric analysis of panel data and matching to evaluate the effect of mergers of digital ecosystems with startups. In our quantitative analysis we use data collected from the website Rusbase, which gathers information on deals with Russian startups building primarily on open sources. In our study, we conclude that niches where digital ecosystems more actively purchase or invest in startups tend to be lower investments, smaller total and average purchase prices, which may indicate some washing out of investments in such niches. However, the effect we see may be present due to the changing popularity of niches and/or bringing forward of investor decisions, and not to the kill zone that is claimed to be one of the downsides of such mergers, since we observe a short-term increase in the number of investment decisions in a niche during the period when a startup is acquired by the digital ecosystem.

PSXIII-1 Proof of Concept of Feeding Non-Protein Nitrogen Based Special Liquid Product (StimGain) Improve the Performance and Production in Swine and Poultry

Abstract Feed is generally the greatest expense for animal production today. Improved feed formulations and new approaches of feeding existing feedstuffs are being explored to increase total protein production. The objective of this study was to determine the efficacy of an energy-based Special Liquid (StimGain) containing non-protein nitrogen (NPN), alcohol, and distiller grain solubles monogastric diets without critically affecting growth and performance. The Study 1 (Swine grow-finish test) test included 24 pigs (average purchase weight 19.1 kg) per treatment group with three replications were placed for 90 days. The treatments were: 1) Control diet with 16% protein, 2) Protein Check: Control diet with 15% protein, 3) StimGain: same as protein check including 22.7 kg of StimGain product per ton feed. The Study 2 (Laying Hen test) test included 100 pullets per treatment group, with 10 pullets per cage 10 weeks. At 10 weeks of age, pullets were placed in layer cage 2 birds per cage for 30 weeks. The treatments were: 1) Control diet, 2): Control diet + 22.7 kg StimGain product per ton feed. Each group of hens received identical amounts of minerals and vitamins. The Study 3 (Broiler Chicken test) test included 110 birds per treatment group, with 10 birds per cage for 42 days. The treatments were: 1) Control diet, 2): Control diet + 22.7 kg of StimGain product per ton feed. Each group of hens received identical amounts of minerals and Vitamins. Differences in growth performance between groups were analyzed for significance using ANOVA then used PostHoc test. Kruskal-Wallis test was done to confirm if there is a significant difference among treatments, and normality was tested by using the Wilcoxon rank sum test to do pairwise comparisons. Significance was considered at P ≤ 0.05 . The pig study (Study 1), StimGain improved average feed to gain (Control = 3.240, Protein check = 3.391, StimGain = 3.016), salable meat production (Contro l= 78.47%, Protein check = 80.02%, StimGain = 82.22%), lard formation (Control = 14.33%, Protein check = 12.39%, StimGain = 11.58%).In Study 2, StimGain increased average laying percent of hens (StimGain hens = 80.47%, Control hens = 79.34%). In the broiler chicken study (Study 3), StimGain improved Feed to Gain (StimGain = 2.590, Control = 2.911) and salable meat weight (average dressed weight to live weight percentage for StimGain birds = 69.93%, Control birds = 69.01%). Diets formulated with StimGain in pigs improved feed to gain ratio and improved the efficiency of proteins, rather than addition of protein to a conventional swine diet. Also, StimGain improved efficiency of metabolism by reducing lard formation and increasing salable meat formation in pigs. StimGain increased average laying percent of hens, and improved feed to gain and salable meat in broilers.

Beyond plant-based alternatives to milk and meat: Product and individual variables influence purchase intention for plant-based yoghurt and eggs

The present research contributed new knowledge to support consumers’ uptake of plant-based (PB) foods and the wider transition to flexitarian and PB diets. Focus was directed to under-investigated PB foods – PB yoghurt and PB eggs – which were studied in a sample of urban-living adult Australian consumers (n = 2114). The research strategy used a combination of text highlighting and rating-based conjoint analysis, and this generated insights that were generic to each product category (text highlighting) and those that revealed preferences for specific product characteristics (text highlighting, conjoint analysis). In text highlighting, the results for the two product categories were similar in finding that consumers responded positively to information about the environmental and personal health benefits of PB foods. Negative responses (text highlighting) were observed for information relating to certain product characteristics. In the conjoint analysis, average purchase intention ratings were 3.6 for PB yoghurt and 3.7 for PB eggs, and thus closer to ‘not at all interested in buying’ (1) than to ‘very interested in buying’ (9). For PB yoghurt, the product concept that received the highest purchase intent had the lowest price and was based on soy milk with 3 % fat content. For PB eggs, only the PB ingredients used influenced stated purchase intent significantly, with positive utility for the combination of green split peas and chickpeas (compared to the combination of mung beans and lupin beans). Individual variables influenced consumer purchase intent in expected ways, and the results identified attitude to PB diets and PB product familiarity as most important, with sex, age, educational attainment, food neophobia and type of diet (omnivore, flexitarian and vegetarian) as lesser influences. These results suggest that improving attitudes to and familiarity with PB foods could contribute to support uptake of PB yoghurt and PB eggs among Australian consumers.

YSA ve Bukalemun Optimizasyon Algoritmalarına Dayalı DER'lerde Tekno Ekonomik için Pratik Radyal Dağıtım Besleyicisi

Distributed energy resources (DERs) are a better choice to meet load demand close to load centers. Optimal DER placement and DER ratings lead to power loss reduction, voltage profile improvement, environmental friendliness, dependability, and postponement of system changes. This study uses artificial neural networks and the Chameleon Optimization Algorithm to analyze the best integration of renewable energy sources and electric vehicles in distribution feeders to reduce power loss, regulate voltage levels, and decrease the cost and emissions under unpredictable load demand. In this study, the generated output power of the models is compared to solar photovoltaic generation systems and wind turbine generation systems. As a result, a fitness function with several objectives has been developed to reduce total active power loss while also reducing total cost and emissions generation. The study took into account the influence of EV charging/discharging behavior on the distribution system. The 28-bus rural distribution network in feeders is used to test the suggested methodology. Final analysis of the numerical results showed that the Artificial Neural Network and Chameleon Optimization Algorithms outperformed in terms of power loss (440.94 kw) and average purchase of real power (2224 kw), but these parameters do not favor the other optimization algorithms. This showed that the proposed strategy is both viable and effective.

The impact of mobile applications on airline ticket purchasing behavior: a quasi-experiment

PurposeThis paper aims to investigate the causal inferences between mobile application adoption and changes in travelers’ purchasing behavior regarding services supported by the travel and tourism industry.Design/methodology/approachUsing a quasi-experiment conducted by an airline, data sets from more than 10,000 travelers were collected, and hypotheses were tested using propensity score matching and difference-in-difference methods.FindingsMobile application adoption has a significant positive effect on the total purchasing frequency of services and a significant adverse effect on booking tickets in advance and purchasing frequency from self-owned websites. Besides, this finding also suggested that members or travelers who had high average purchases in the past tend to buy more air tickets on average after mobile application adoption, while the number of days to book tickets in advance and purchase auxiliary services declined after mobile application adoption. However, males purchased more auxiliary services via mobile applications.Research limitations/implicationsThe study is based on the causal effect of mobile application adoption on purchasing behavior. Nevertheless, the theoretical basis remains relatively weak. Furthermore, the underlying mechanisms that cause the changes in purchasing behavior via mobile applications need to be elucidated.Practical implicationsThis study enriches the hospitality and tourism literature on mobile application adoptions, multichannel purchasing behavior and revenue management. First, a quasi-experimental design is used to verify a causal relationship between mobile applications’ adoption and travelers’ purchasing behavior in the travel and tourism industry. Second, this study adds to examining travelers’ multichannel purchasing behavior in the travel and tourism industry. Third, this work enriches the current literature that explores auxiliary services and revenue management in the travel industry.Originality/valueMobile application adoption significantly impacted the travel and tourism industry. Besides, To the best of the authors’ knowledge, this is one of the first empirical studies that examined changes in purchasing behavior due to mobile application adoption from the perspective of service type. The findings provide the first evidence of the impact of mobile application adoption on service purchasing in the travel industry.

Economic Sustainability Assessment of a Beekeeping Farm in Hungary

In Hungary, beekeeping is a relatively small-scale sector within the livestock sector, but it is essential for maintaining biodiversity and rural employment. In order to provide ecosystem services such as pollination by honey bees, apiaries need to be economically sustainable, and it is therefore of strategic importance that beekeepers can continue their activities. Based on this, this article’s main objective is the economic analysis of Hungarian honey production, which enables the evaluation of the cost–benefit relationships, production volume and the efficiency of the operation. The authors’ analysis is based on a Hungarian apiary with 300 bee colonies, which also engages in migration and produces a significant amount of acacia honey. The model farm produces several types of honey due to migratory beekeeping, and its average yield reaches 60 kg/bee colony/year, which the authors calculated based on the average purchase prices in 2021. Based on the farm model, the analysis showed that 71 bee colonies and 4253 kg of honey production reached the profitability threshold.

Connecting Gaiwan Hipsters and Premium Chinese Tea: The Attitudes, Habits, and Purchasing Behaviour of Boutique Tea Consumers

Chinese tea production quality is increasingly able to satisfy the needs of the highvalue global market, yet product communication remains challenging for producers. Through a literature review and series of econometric tests constructed with novel data from 408 international respondents, we explore consumer attitudes, habits, and purchasing behaviour. We observed that the green tea consumption frequency was negatively correlated with average purchase value and there was no correlation between consideration of organic status and purchasing behaviour. Based on these findings, we offered straightforward and practical suggestions for those tea producers who are interested in accessing the global tea market’s high-end segment.

Disposition effect and reference points: An experimental study.

This study calls into question the default computation of the disposition effect that uses the average purchase price as a reference point. We show, through a lab experiment, that the reference price of participants can change depending on the experimental behavioral design that is used. Our results show that for the control group, different reference prices do not show significant differences in the computation of the disposition effect, thus supporting the use of the average purchase price as a reference. However, this is not the case for participants in the treatment group. With the addition of experimental treatment concerning the disclosure of the final balance of the participants, the reference prices to compute the disposition effect showed statistically significant differences. The need to display their results caused these participants to use the first purchase price as a reference point when selling their assets.

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.

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.

ANALISIS PREFERENSI DAN KEPUASAN KONSUMEN KERIPIK PISANG SHINTA DI KOTA BANDAR LAMPUNG

This study aims to analyze preferences, consumption patterns and consumer satisfaction in purchasing Shinta Banana Chips in Bandar Lampung City. Respondents were taken by the accidental sampling method as many as 50 respondents and data collection was carried out from May to June 2022. The analytical method used is conjoint analysis, qualitative descriptive analysis, Customer Satisfaction Index (CSI) and Importance Performance Analysis (IPA). The result showed that the consumers of Shinta Banana Chips were mostly female aged 18-25 years as many as 26 consumers. The attributes of banana chips that became consumer preferences were sweet taste with a size of 250 grams, crunchy textured with plastic packaging. Shinta Banana Chips consumers usually buy and consume 250 grams of Banana Chips as many as 34 respondents (68%). The average purchase of 200-750 grams was 27 respondents with the frequency of purchasing Shinta Banana Chips at most 1-2 times per month (78%). The variation of the Shinta Banana Chips taste that many consumers like is the chocolate flavor variation (30%) with the reason that consumers consume it for their own consumption. Halal label is considered very important (86%). Consumer satisfaction was obtained by 86.41% in the very satisfied category. Key words: banana chips, consumer, consumption pattern, preference