Product Strategy Research Articles

Determinants of Purchase Intention of Skincare Products, Brand Image as Moderation On The Tiktok Platform

With the rapid development of Internet technology, many companies are now using the Internet as a major platform in their marketing strategy of skincare products, mainly through social media. The research aims to explore the factors that influence the intention of buying skincare products on the TikTok platform by considering the role of brand image as a moderation variable. The research method uses descriptive causality with a quantitative approach, and uses purposive sampling techniques. Primary data obtained from 267 respondents active TikTok users who were interested in skincare products and collected through online questionnaires. Data analysis is done using Structural Equation Modelling-Partial Least Square (SEM-PLS). Research findings show that social media marketing activities, online customer reviews, influencer endorsement, brand image can improve purchase intention, while price consciousness does not affect the purchase intent of skincare products on Tiktok platform. Implications, skincare manufacturers and marketers should pay attention to branding strategies on TikTok's platform to boost purchasing intentions. Further research is suggested to explore other factors that can influence the intention of buying skincare products in the digital age.

Analisis Strategi Pemasaran Syariah Produk Gadai Emas (Rahn) di Pegadaian Syariah

This research discusses the Analysis of Sharia Marketing Strategy for Gold Pawn Products (Rahn) at Sharia Pawnshops. Studies at the Pawnshop Sharia Service Unit Simpang Mayang Jambi. The aim of this research is to describe how marketing is carried out at Pegdaian Syariah Simpang Mayang, Jambi City, seen from the Sharia Marketing Indicators and what the obstacles are in marketing its products, especially Gadai Syariah (Rahn) products. This research is field research using descriptive qualitative methods. Data collection involves observation, interviews and documentation. Test the validity of this research using triangulation techniques. The subjects in this research were employees or marketers of Pegadaian Syariah Simpang Mayang, Jambi City and customers, with three employee informants and three customer informants. The results of this research indicate that marketers at the Simpang Mayang Syariah Pegadaian, Jambi City do not fully meet the characteristics of a sharia marketer. It can be seen from the Four Sharia Marketing Indicators that have not been fully implemented. There are 4 Marketing Indicators in Sharia Marketing. Of the 4 (Four) marketing indicators, only Ethical (akhlaqiyah) and Realistic (al-waqi'iyyah) have been fully implemented, while Theistic (rabbaniyah) and Humanistic (al-insaniyyah) have not been fully implemented. . There are obstacles for the Sharia Pawnshop Unit Simpang Mayang Jambi City in marketing its products, especially Sharia Pawnshop (Rahn) products. Such as trust from customers, the double duty of each employee and competition from other financial institutions.

Penerapan Data Mining untuk Menentukan Produk Terlaris pada PT Joynare Mitra Teknologi menggunakan Metode Naive Bayes

The research applies the Naive Bayes method to determine the best-selling products at PT Joynare Mitra Teknologi. The contribution of this research is to provide a reference for other companies interested in using similar techniques to analyze their product data. Testing was carried out by processing data using Microsoft Excel and RapidMiner, with training and testing data. The test results show that the Naive Bayes method can classify best-selling products with a high level of accuracy, reaching 87.00%. Apart from that, the resulting precision reached 72.41%, and recall was 80.77%. The best-selling products in hardware sales such as motherboards, CPUs, RAM, hard disks, SSD, and printers can be identified through data analysis. The conclusion from the research is that the Naive Bayes method is very appropriate to use to optimize sales strategies for hardware products based on customer preferences.

Integrated sensing and machine learning: Predicting saccharine and bioenergy feedstocks in sugarcane

Predicting saccharine and bioenergy feedstocks in sugarcane enables growers and industries to determine the precise time and location for harvesting a better-quality product in the field. On one hand, Brix, Purity, and total recoverable sugars (TRS) can provide meaningful and reliable indicators of high-quality raw materials for first-generation (1 G) bioethanol. Conversely, Cellulose, Hemicellulose, and Lignin are the primary constituents of straw, directly contributing to second-generation (2G) bioethanol. However, analyzing these materials in the laboratory is a time-consuming and non-scalable task. Therefore, we propose an approach based on a multi-sensor framework, which includes multispectral unmanned aerial vehicle (UAV) imagery, thermal, photosynthetic active radiation (PAR), and chlorophyll fluorescence (ChlF) data, along with machine learning (ML) algorithms namely random forest (RF), multiple linear regression (MLR), decision tree (DT), and support vector machine (SVM), to develop a non-invasive and predictive framework for mapping sugarcane feedstocks. We collected samples of stalks and leaves/straw during the maturity stage while simultaneously collecting remote sensing data. The ML models played a crucial role in predicting 1 G (R2 = 0.88–0.93) and 2 G (R2 = 0.56–0.82) feedstocks. Notably, remote sensing data could serve as important features for the models, mainly through the spectral bands (Blue, Green, and RedEdge), DTemp and ChlF. Hence, the best features can be further implemented within a framework to predict sugarcane feedstocks. Our study marks a significant advancement in the industrial-scale prediction of sugarcane feedstocks, providing stakeholders with invaluable prescriptive harvesting strategies for both primary products and by-products.

Replenishment Pricing of Vegetable Commodities in a Supermarket as an Example in China

In this paper, for the automatic pricing and replenishment decision-making problem of vegetable commodities, it is found that there are certain seasonal characteristics in the sales of vegetables in each category, and wavelet analysis is carried out on the daily sales data of single products to get the sales cycle of each category. For the vegetable single product with large amount of data, all single products are divided into four categories of common household vegetables, packaged vegetables, seasonal special vegetables and special vegetables by systematic cluster analysis, and the time distribution characteristics of single products are described by the sales time series of typical members in each cluster. Based on the market demand theory, the cost-plus pricing and sales volume data of the categories were fitted, and the relationship was obtained to be negatively correlated. Taking the purchase quantity and pricing of each category as the decision variables, maximizing revenue as the objective function, and taking the historical maximum purchase quantity of each category and the historical maximum purchase quantity of the superstore as the constraints, a nonlinear programming model was established to formulate the pricing and replenishment strategies for vegetable products. By solving the model, the optimal strategy of replenishment volume and pricing for the future seven-day category is derived, corresponding to the maximum profit of ￥3124.75.

Research on vegetable pricing and replenishment based on value loss pricing and ARIMA model

Due to their short shelf life and difficulty in preservation, the sales strategy of vegetable products is closely related to the profits of merchants. This article studies the pricing and replenishment strategies of vegetable products in supermarkets. By analyzing the monthly changes and annual proportions of sales for each category, it was found that the sales of anthophyllum were the highest, while those of cauliflower were the lowest. The richness of products is positively correlated with total sales volume, and some categories have overlapping sales peaks. Introducing the Shannon Diversity Index to analyze the distribution pattern of sales volume. Establish an ARIMA time series model to predict sales for the next week and develop a daily replenishment strategy. Build a pricing model based on value loss and optimize the strategy using tail pricing method. At the same time, in order to maximize the benefits of supermarkets, a dual shelf model is established to implement promotional pricing for products with reduced freshness.

Self-help and Way Out of Tea Drinking Brands in the Context of Economic Downturn--Taking Sexy Tea as an Example

This study examines how the tea drink brand "Sexy Tea" has successfully utilized its core competencies to cope with market changes in the context of the economic downturn. Through an innovation-oriented product strategy that skillfully combines unique flavors and innovative drinking styles, the brand has successfully broken through the framework of traditional tea drinks and established a unique position in the competitive market. Diversified marketing strategies including comprehensive online and offline promotions and weather-specific promotions have effectively increased brand exposure. Flexible channel expansion strategies, especially the use of online ordering and takeaway services, enabled Sexy Tea to successfully adapt to the trend of consumers turning to online shopping during the epidemic. In addition, the brand's differentiated pricing strategy has met the needs of consumers at different levels with more affordable prices, skillfully balancing price and value for money.

Decoding green food safety information dependency in the digital era: An intelligent validation using SEM-ANN framework

Dependence on mobile phone information in the Internet era is a crucial issue, and psychological perception and personalized and accurate pushing significantly impact this field. This introduction of rational and planned behaviour combined with the theoretical framework of Structural Equation Modelling (SEM) and Artificial Neural Networks (ANN) are intricacy analytical tools to explore the key factors affecting the information dependence on green food safety. The key factors affecting the reliance on green food safety information were investigated. The survey covered 630 participants aged 17 to 70 in Guangdong Province, China. The study showed that perceived risk, regulation, price volatility, innovativeness, and anticipatory confirmation significantly influence the perceived usefulness of green food information, affecting satisfaction with green food. The study also highlights the significant impact of the degree of anticipatory confirmation by users on satisfaction and perceived usefulness of green food. Model path analysis revealed that anticipatory confirmation and perceived usefulness explained 61% and 74% of the variance in financial sustainability, respectively. The application of deep ANN multilayer perceptron improved the prediction accuracy of perceived usefulness with 87.54% training accuracy and 90.34% testing accuracy, further deepening the understanding of the mechanism of relying on green food safety information. This study provides strong support for a deeper understanding of the relationship between consumer behaviour and green food safety information dependence, which helps promote enterprises and market camps to more effectively formulate product or service promotion strategies and provides a solid theoretical and empirical foundation for future green food safety and personalized and accurate push thus enhancing information dependence.

Some selected properties of the recombinant aminoacylase from Escherichia coli LGE 36

Background: Aminoacylase has seen extensive use in the synthesis of L-amino acids. L-amino acids are widely used in the food and medical industries, as well as in healthcare. The effect of metal ions and inhibitors on the enzyme activity of recombinant intracellular aminoacylase of Escherichia coli LGE 36 was studied. Acetyl-D,L-methionine and glycyl-L-methionine dipeptide were used as substrates. It has been shown that with the addition of Co2+ ions, the acylase activity of the recombinant enzyme towards N-acetyl-D,L-methionine increases 3 times. In the case of glycyl-L-methionine, the peptidase activity of the recombinant aminoacylase of Escherichia coli LGE 36 increases more than 40 times. A number of other metal ions studied do not stimulate the hydrolytic activity of the enzyme, moreover some of them even inhibit it. PCMB completely inactivates the recombinant aminoacylase, EDTA reduces enzyme activity by 85%. Objective: This study aims to investigate how metal ions and inhibitors affect the enzyme activity of recombinant intracellular aminoacylase Escherichia coli LGE 36. Methods: In this study, a recombinant strain-producer of aminoacylase derived from Escherichia coli LGE 36 was employed. Escherichia coli cells were cultured in M9 minimal medium supplemented at 37°C. To assess aminoacylase activity, assays were conducted at 37°C using a reaction mixture of 0.2 ml final volume comprising 100 mM Na, K-phosphate buffer at pH 7.0, 0.2 mM CoCI2, 40 mM N-acetyl-D, L-methionine, and the enzyme in the appropriate concentration. Acylase activity was quantified as the amount of enzyme catalyzing the formation of 1µmol of L-methionine within 1 minute at 37°C and pH 7.0. Results: Some characteristics of the recombinant intracellular aminoacylase from E. coli LGE 36 were determined. For investigating the impact of metallic ions and inhibitors, acetylmethionine and glycylmethionine were employed as the substrates. Conclusion: The present study and the choice of right strategies for functional food products allows optimizing the process for production of optically active amino acids using the recombinant enzyme to obtain food and feed additives. Keywords: ion, metals, inhibitors, acetylmethionine, glycylmethionine, recombinant aminoacylase from Escherichia coli, enzyme.

Marketing Strategy and Brand Building of Agricultural Products from the Perspective of Digital Media Application

Marketing Strategy and Brand Building of Agricultural Products from the Perspective of Digital Media Application

Manipulating scanning strategies towards controlled microstructure of laser remelted Mg–3Al–1Zn alloy

Various laser scanning strategies of multitrack products, consisting of a default Raster pattern (R1), a Raster pattern with a changed line order (R2), and a default Zigzag pattern (Z1), with different overlap rates ranged from 0.7 to 0.5, have been conducted to investigate microstructure evolution for Mg–3Al–1Zn alloy. As the overlap rate changes from 0.7 to 0.5, the average grain size decreases and the texture is slightly concentrated, except for R2 pattern. For effect of different scanning pattern, a relatively small average grain size can be obtained using the R1, R2 patterns compared to using the Z1 pattern; a relatively weak texture can be obtained using the R1, Z1 patterns compared to using the R2 pattern. The utilization of Z1 pattern results in a further texture weakening compared to that of the R1 pattern. Microstructure evolution of scanning strategy is mainly determined by low-undercooling-required epitaxial growth along temperature gradient directions at the solid/liquid interface. Combined with computational thermal-fluid dynamics simulation, a strong fluid flow within the molten pool promotes side expansion of the molten pool, resulting in the larger overlap area, the corresponding three-times remelting domain and continuous deflections of grain major axes.

Marketing Strategy for KSPSS BMT Dana Mentari Muhammadiyah Purwokerto Student Savings Products

KSPPS BMT Dana Mentari Muhammadiyah Purwokerto is a financial institution that runs on a sharia system. The KSPPS BMT Dana Mentari Muhammadiyah company has many products, one of which is student savings. Every company, including financial companies, requires a marketing strategy, which is an important aspect to achieve targets. Marketing is a social and managerial process that involves individuals and groups getting what they need and want by creating, offering and exchanging valuable services with other parties. Marketing strategy is contained in four marketing mix positions, namely price strategy, promotion strategy, promotion strategy, place strategy and product strategy. To achieve marketing targets, you must consider the four marketing mixes. The method used in this research is qualitative with a descriptive analysis approach. The data collection techniques used were observation, interviews and documentation. The aim of this research is to find out the marketing strategy for KSPPS BMT Dana Mentari Muhammadiyah Purwokerto student savings. The results of this research show that KSPPS BMT Dana Mentari Muhammadiyah Purwokerto has a good marketing strategy for student savings products seen from qualified products, affordable prices, targeted promotions and strategic office locations. This is a factor in students using and choosing savings products at KSPPS BMT Dana Mentari Muhammadiyah Purwokerto.

무형문화유산(ICH) 문화정체성 인지와 ICH 진정성 인지가 중국 ICH 제품의 소비의도에 미치는 영향

Intangible Cultural Heritage (ICH) products are consumer goods or services that utilize ICH resources and are commercialized or industrialized, encompassing the value of use, emotional value, and symbolic value of ICH. ICH products have become increasingly important in the Chinese tourism industry and have become a key element of China’s tourism economy. The purpose of this study is to contribute to the study of deliberate consumption of ICH products by considering ICH cultural identity perception and ICH authenticity perception as extended variables of the Theory of Planned Behavior. A survey was conducted with 298 Chinese participants for this study. Data analysis was performed using SPSS 26 and AMOS 24 software to conduct descriptive statistics, factor analysis, and structural equation modeling. The analysis results indicated that ICH cultural identity perception influences attitudes toward ICH products, subjective norms, and perceived behavioral control. Therefore, ICH cultural identity perception can influence consumer intention indirectly but does not have a direct impact on consumer intention. On the other hand, ICH authenticity perception was found to have a positive impact on attitudes toward ICH products, subjective norms, perceived behavioral control, and consumer intention. Additionally, subjective norms and perceived behavioral control significantly influence consumer intention, while attitudes toward ICH products do not. However, emotional value was confirmed to play a moderating role. In conclusion, the study confirmed that ICH cultural identity perception and ICH authenticity perception of visitors to ICH tourist sites have a positive impact on consumer intention for ICH products. The findings of this study are expected to be helpful in formulating marketing strategies for ICH products.

Analisis Strategi Pemasaran Teh Celup Walini Industri Hilir PTPN VIII Berdasarkan Perspektif Syariah

PT Perkebunan Nusantara (PTPN) VIII's downstream company is the Downstream Tea Industry (IHT). IHT makes two types of tea: tea bags and brewed tea. The trademark used is Walini. Every year, IHT in running its business increases. This makes the author interested in examining the methods used and whether these methods are in accordance with sharia principles. Qualitative descriptive research is used in this type of research. Both primary and secondary data were used. Primary data was obtained from the marketing division, sales division, tabin, general department employees, and head of production. Data collection methods are through interviews, documentation, and observation. The results showed that IHT uses a marketing mix strategy, which includes product, price, location, and promotion strategies. The product strategy is to maintain quality, increase flavor variety, and improve packaging. The price strategy is Cost-Plus, Premium, Dynamic, and Competition-Based. The place (distribution) strategy is e-commerce, general trade, and contemporary trade. She uses gimmicks, collaborating with private and public educational institutions, events, and social media to promote herself. IHT uses sharia marketing strategies by using attributes and values such as spirituality, shidiq, amanah, fathanah, and tabligh.

A Study On Consumer Satisfaction On Masqati Dairy Products

This study aims to determine customer satisfaction levels with Masqati Dairy Products, a supreme dairy brand in India. The research emphasizes identifying the factors affecting customer satisfaction, including product quality, packaging, pricing, and distribution, and enhancing them. To determine how masqati dairy products are different from other dairy products. A mixed-methods approach was used to gather data. The data would be analyzed and interpreted using statistical techniques such as descriptive statistics. The finding could indicate that product quality, packaging, and pricing are the most significant factors affecting customer satisfaction, and identify the areas for improvement within masqati dairy products while distribution had little impact. The study would conclude with recommendations for Masqati Dairy Products to enhance its customer satisfaction and loyalty by improving its product quality, packaging, and product strategies. This can guide strategic decisions to upgrade or improve customer satisfaction, loyalty, trust and thereby strengthening Masqati Dairy’s market position.

Repositioning to sink: The pricing and quality decisions for product line considering the sinking market

Opening up new markets (e.g., the sinking market) is one way to boost growth momentum, especially with the decrease in the rate of technological development and the impact of the black swan event (e.g., the COVID-19 pandemic). Considering the difficulty and cost of developing new products, repositioning existing products by a price markdown is an easier way to expand the market. Companies can implement different pricing strategies for different products to target different markets and make extra profits, but products entering the sinking market may deeply erode the original market. Therefore, balancing the advantages and disadvantages of entering the sinking market is a significant challenge for firms selling products as a product line. By building a theoretical model, we investigate the optimal product line repositioning strategy when companies decide to expand the market. First, we examine the optimal conditions for companies to enter a sinking market. We then analyze the optimal product line strategy in the sinking market. Furthermore, we investigate the interaction between repositioning strategy and quality decisions. The main results indicate that with the increase of the consumers’ willingness to pay at the sinking market and the decrease of the production cost, the seller's motivation to enter the sinking market would be greater. More importantly, entering the sinking market with higher quality can also be the optimal decision. What's more, we also find that the seller implementing low-quality repositioning strategy may prefer fiercer product erosion. Interestingly, the consideration of the quality decision would motivate the seller to enter the sinking market more aggressively even when the production cost is relatively high. Yet, this motivation would be weakened when the production cost is relatively low.

Research on optimization of steel marketing strategy in China's frontier areas

This paper aims to optimize the marketing strategy of steel products in China's frontier areas. Through the in-depth analysis of the steel market in the frontier area, this paper identifies the existing problems in the current marketing strategy, and combines the regional characteristics and market environment, and puts forward the corresponding optimization strategy. The research adopts many methods, such as market research, data analysis and case study, and comprehensively evaluates the status quo and development trend of steel market in frontier areas. The results show that through strengthening brand publicity, optimizing product mix, perfecting sales channels and improving service quality, the effect of steel marketing in border areas can be effectively improved and the healthy development of the market can be promoted. This study has important theoretical and practical significance for guiding steel enterprises in frontier areas to formulate scientific marketing strategies and improve market competitiveness.

Feasibility and Development Strategies for Mangrove Fruit-Based Products in Karawang, West Java

Feasibility and Development Strategies for Mangrove Fruit-Based Products in Karawang, West Java

Development of a high throughput oxidation profiling strategy for monoclonal antibody products

Oxidation is one of the most common degradation pathways of biopharmaceutics, potentially leading to altered product stability, pharmacokinetics, reduced biological activity and/or an increased immunogenicity. However, it is often insufficiently assessed in early development stages, leaving potential molecule liabilities undiscovered. Aim of the present work was the development of a high throughput oxidation profiling strategy, applicable throughout various stages of biopharmaceutical development. The study demonstrates that the combination of multiple stress assays, including peroxide-based, visible light, and metal-catalyzed oxidation (MCO), enables a comprehensive understanding of a mAb's oxidation susceptibility. The most effective parameters to evaluate oxidation in a high-throughput screening workflow are aggregation, tryptophan oxidation and changes in the hydrophobicity profile of the Fc and Fab subunit measured via Size Exclusion Chromatography, Intrinsic Tryptophan Fluorescence Emission spectroscopy and Reversed-Phase Chromatography subunit analysis, respectively. This oxidation profiling approach is valuable tool to systematically characterize the oxidation susceptibility under relevant conditions, time effective and with minimal sample consumption.

Automated pricing and replenishment strategies for vegetable products based on SVR and simulated annealing

In fresh supermarkets, the shelf life of general vegetable products is relatively short, and the quality deteriorates with the increase of sales time, and most varieties cannot be sold the next day if they are not sold on the same day. However, due to the fact that the vegetables sold by fresh supermarkets often have a wide variety and different origins, merchants need to make replenishment decisions for each vegetable category on the same day without accurately judging the specific single product and purchase price, and the reliability of market demand analysis is very important for supermarkets to make correct replenishment and pricing decisions. Based on the relevant data of sales details and wholesale prices of six vegetable commodities operated by a supermarket from 2020 to 2023, this paper uses Fourier series and Gaussian function to predict the sales volume of vegetable single products, clarifies the relationship between supermarket revenue and the pricing and replenishment quantity of vegetable products based on multiple linear regression theory, and establishes a pricing strategy model based on simulated annealing algorithm and SVR. On the premise of trying to meet the market's demand for various categories of vegetable products, the supermarket will make the maximum profit, so as to help the supermarket further formulate the pricing and replenishment plan of a single product.