Product Strategy Research Articles

Analisis Penerapan Sistem Konsinyasi Menurut Hukum Ekonomi Islam pada Produk Jajanan Basah di Pasar Pagi Bandar Kabupaten Batang

This study aims to determine and analyze the application of the consignment system according to Islamic economic law on wet snack products in the Bandar morning market, and to analyze the role of the principles or basis of Islamic economic law in the marketing strategy of wet snack products in the Bandar morning market. This research uses qualitative research methods, the data used are primary data and secondary data, primary data obtained from interviews with market managers, snack traders and buyers, the analytical tool used is qualitative methods with the type of field research. The results of this study indicate that the practice of consignment contracts for wet snack products in the Bandar morning market in general, the contracts used in Islamic economics have fulfilled the pillars and conditions, because in the practice of consignment contracts, several pillars and conditions have been fulfilled in transactions including Shighat (memorization), Aqid (the person in the contract), Ma'qud alaih (commoditized goods). However, in its application related to Ma'qud alaih there are still a few that do not meet the requirements, the hawker traders have not fully implemented these terms and conditions in conducting transactions, because there are still many hawker traders who ignore the contract and do not record the administration of the consignment contract.

Interaction between product strategy selection and the carbon quota allocation policy

The interaction between the government’s carbon reduction policy and a firm’s product strategy has not been well studied in the literature. This paper considers the government’s two different carbon quota allocation policies for the cap-and-trade scheme and the firm’s two product strategies and investigates the interaction between them by establishing a theoretical model and deriving the optimal decisions. This paper first examines the firms’ selection of low-carbon products or ordinary product strategies under the government’s two carbon quota allocation policies and then studies the government’s optimal carbon quota allocation policy for overall social welfare, which is based on the firm’s two product strategies. Our analysis reveals that (i) when the government allocates carbon quotas aimed at reducing the firm’s total carbon emissions, the firm will choose the low-carbon product strategy. When the government allocates a carbon quota aimed at optimal total social welfare, the firm’s decision depends on the impact of total carbon emissions. (ii) To achieve optimal social welfare, the government will formulate different carbon quota allocation policies on the basis of firms’ different product strategies.

Research on Pricing and Dynamic Replenishment Planning Strategies for Perishable Vegetables Based on the RF-GWO Model

This paper addresses the challenges of automated pricing and replenishment strategies for perishable products with time-varying deterioration rates, aiming to assist wholesalers and retailers in optimizing their production, transportation, and sales processes to meet market demand while minimizing inventory backlog and losses. The study utilizes an improved convolutional neural network–long short-term memory (CNN-LSTM) hybrid model, autoregressive moving average (ARIMA) model, and random forest–grey wolf optimization (RF-GWO) algorithm. Using fresh vegetables as an example, the cost relationship is analyzed through linear regression, sales volume is predicted using the LSTM recurrent neural network, and pricing is forecasted with a time series analysis. The RF-GWO algorithm is then employed to solve the profit maximization problem, identifying the optimal replenishment quantity, type, and most effective pricing strategy, which involves dynamically adjusting prices based on predicted sales and market conditions. The experimental results indicate a 5.4% reduction in inventory losses and a 6.15% increase in sales profits, confirming the model’s effectiveness. The proposed mathematical model offers a novel approach to automated pricing and replenishment in managing perishable goods, providing valuable insights for dynamic inventory control and profit optimization.

Battle Of Brand Loyalty: Based On Social Media Advertising – Gojek And Grab

The use of social media advertising is certainly familiar to consumers as one of the marketing strategies for brands or products in the company. This study will look at the level of consumer loyalty to Gojek and Grab through brand image and brand awareness. This study aims to see between the two brands which brand is superior in using social media advertising in increasing consumer loyalty, namely generation z people in Makassar city, Indonesia. This study uses quantitative methods by analyzing 265 respondents and will be analyzed using PLS-SEM. The results of this study indicate that Gojek is superior in utilizing brand image and brand awareness through social media advertising. This is evidenced by the relationship between social media advertising has no significant effect on brand loyalty. Nevertheless, brand image and brand awareness have a significant positive relationship to brand loyalty. Furthermore, the Grab brand is superior in increasing its brand loyalty through social media advertising, brand image, and brand awareness. In addition, Grab's brand image and brand awareness have a positive significant relationship to brand loyalty.

Marketing Strategies and Sales Performance of a Manufacturing Company

This study was carried out to investigate how marketing strategies, consisting of product, price, place, and promotion strategies, affected the sales performance of a food and beverage manufacturing company. A review of extant literature indicated the need for studies, in this regard, in Nigeria’s food and beverages industry. The study adopted a survey research design. Two hundred and seventy four employees of a food and beverage manufacturing company in Lagos State were studied. Data were collected on a four-point scale ranging from strongly disagree, 1, to strongly agree, 4. Mean and standard deviation values of statements relating to marketing strategies were obtained from descriptive statistics while inferential statistics based on multiple regression analysis produced results that determined the effects of marketing strategies on sales performance. The results indicated statistical significance [F(4,269)df = 4783.108, p < .05)] for the effect of marketing strategies on sales performance. Product (β = .478, t = 5.588, p < .05), place (β = .454, t = 5.360, p < .05), and promotion (β = .075, t = 1.773, p > .05) strategies had positive effects on sales performance while price strategy indicated insignificant negative effect (β = -.023, t = -.626, p > .05) on sales performance. Marketing strategies explained 98.6 percent variation in sales performance. The conclusion of the study indicated a need for the managers of the company to increase the tempo of premium-pricing promotion strategy and advertisements in the social and electronic media as well as reevaluate the pricing strategy of the company as a means of improving its effectiveness by increasing the chances of achieving the objectives of cost recovery and meeting the needs of customers.

Note on “Joint dynamic pricing and freshness-keeping effort strategy for perishable products with price-, freshness-, and stock-dependent demand”

Note on “Joint dynamic pricing and freshness-keeping effort strategy for perishable products with price-, freshness-, and stock-dependent demand”

A Systems Firm-Centered Perspective on the Environmental Assessment of Recyclable PET and Glass Soft Drink Containers

This paper adopts a systems firm-centered perspective on the environmental assessment of recyclable glass and PET soft drink containers. We employ LCA and discrete-event simulation modeling for the environmental assessment of the two soft drinks packaging alternatives in operational terms over the entire supply chain over a period of three years. The assessment is based on real data collected from a large soft drink producer and its suppliers. The research and practice contribution of the paper is twofold: first, it introduces a methodological framework for environmental assessment of companies’ packaging environmental impact under different product and operations strategies; and secondly, it provides a holistic environmental assessment of the two packaging materials (PET and glass) taking into account specific operational issues, such as product mix and recycling and reuse options, as well as activity interdependences and stochasticity. The results of the simulation experiments confirm at the operations system level, for glass, the importance for sustainability, to increase the number of reuse cycles (for the particular case, for significant improvement, seven reuses) and the percentage of used bottles collected for refilling (80% recovery rate), whereas for PET, to increase the percentage of recycled PET in new bottles (towards 30%).

Simulation of Discovering Market Opportunities Using AI Methods

Due to the strong turbulence that exists in the business environment, the view is sometimes articulated that the time horizon of decisions is no longer a hallmark of strategic management. Opposing views argue that a turbulent environment changes the trajectory of reaching future objectives determined by strategic decisions. Such trajectories require the company to be agile, which is manifested by seizing opportunities. Opportunities arise because the environment is volatile. An example of market opportunity is the unsatisfied demand for products. Buyers are driven by different motives when choosing between products that are alternative to them. From the producer's point of view, the purchase is therefore random. As a consequence, the alignment of the offered product portfolio with the actual purchasing decisions of customers is undetermined. In this article, we address the problem of determining the product portfolio structure expected by customers, i.e. one that is consistent with their future purchasing decisions. We hypothesise that this problem can be represented by a model of flows between alternative resources. Problems of this type are solved using Markov Chain Monte Carlo (MCMC) methods. In order to discover the expected demand (opportunity), we simulated the flow model we developed using the Metropolis-Hastings algorithm, which is a special case of the MCMC method used in AI. Due to operating on numerical data, such simulations fall under quantitative research. In the article, we present a model of customer flows between alternative products and then the simulation result, which is the expected value of these flows (stationary point). We convert this value into the structure of the product portfolio using a model of customer purchasing decisions that we have developed. The obtained results confirm the effectiveness of our method and have significant practical value, especially for SMEs. It also enables the assessment of the company's product strategy based on real sales data. The application of our methodology is limited to discovering opportunities in situations where purchasing decisions are influenced by variable environmental factors, causing irregular purchases by individual customers. It is useful, for example, in discovering opportunities in markets such as Household Articles, Furniture, Vehicles, Equipment Repairs, Construction, and many others.

Analysis and evaluation of adaptive remanufacturing strategies for mechanical products

Abstract Resource scarcity and unsustainable production of products are critical challenges in today’s manufacturing landscape. In this context, adaptive remanufacturing of products could play an important role. This concept prioritizes restoring product functionality over adhering strictly to original specifications, achieving a higher yield in a cost-effective manner. The objective of this work is to explore adaptive remanufacturing and provide methods to analyse the potential in production. For this purpose, four cases of adaptive remanufacturing are differentiated and an assessment matrix to evaluate product suitability for this process, considering various criteria, is presented. These two tools aid industries in assessing the viability and advantages of adaptive remanufacturing, promoting more sustainability across industries.

Peran Electronic Word of Mouth sebagai Strategi Komunikasi Pemasaran pada Produk Avoskin

Communication strategy for Avoskin products, a beauty brand based in Indonesia. The research method used is qualitative with a case study approach. Data was collected through analysis of e-WOM content on social media as well as documentation studies related to Avoskin's marketing strategy. The research results show that Avoskin has succeeded in building a reputation as a high-quality and sustainable beauty brand. By focusing on innovation, product quality and effective communication via social media, Avoskin can reach and build strong relationships with its consumers, especially women aged 18 to 34 who care about the environment and natural ingredients. Marketing strategies focusing on product quality, informative communication, and commitment to sustainability have helped Avoskin gain recognition and awards in the Indonesian beauty industry. Even though it faces the challenges of increasingly fierce competition, Avoskin has the opportunity to expand its market and increase its visibility locally and globally. Avoskin's success proves that local brands can compete and excel in the global market with dedication, innovation and commitment to quality and sustainability.

User requirements analysis of new energy vehicles based on improved Kano model

The ever-changing market demand accelerates the iterative upgrading of new energy vehicles, making understanding user requirements crucial for optimizing product strategies. However, the imbalance in reviews reduces the accuracy of user requirements analysis, which may mislead the purchasing intentions of potential consumers and the product development strategies of manufacturers. To address this, this study develops a BERT-TCBAD-Kano-based requirements analysis method. First, a sentiment analysis method is used to identify user preferences in online reviews. Second, the Text Classification Based on Attribute Dictionary (TCBAD) is proposed to categorize online complaints of users. Finally, user satisfaction and concern are calculated based on preference identification and complaint classification results. User requirements are prioritized based on the idea of the Kano model. Based on the online data of a new energy vehicle, 342 attribute words and 10 user requirements are extracted. The results show that the proposed method improves prediction accuracy by 30 % compared to the traditional Kano model. The method provides significant decision-making support for user-centered product development.

Pengembangan Strategi Pemasaran Hasil Pertanian Jagung

Developing a marketing strategy for corn agricultural products is an important step to increase the competitiveness and income of corn farmers in Indonesia. Corn as one of the main agricultural commodities has great potential to meet food and industrial needs. This discussion aims to analyze the current conditions of the corn market, identify the challenges faced by farmers, and formulate effective marketing strategies. The results of the discussion show that factors such as product quality, price and market accessibility greatly influence the success of corn marketing. Apart from that, the use of information technology and digital marketing has also been proven to increase market reach and distribution efficiency. Based on these findings, recommended marketing strategies include strengthening distribution networks, improving product quality through training for farmers, and using digital platforms for marketing. By implementing this strategy, it is hoped that corn farmers can increase their income and contribute to national food security

Optimization of Marketing Strategy for State-Owned Energy Products through Sentiment Analysis with VADER and LSTM on Social Media

Sentiment analysis is also known as opinion mining. It has an important role in natural language processing and data mining. It involves extracting and analyzing subjective information from textual data to determine the sentiment. With the advancement of technology, it is increasingly important to understand users' opinions and sentiments regarding a particular product, service or issue. This research aims to optimize the marketing strategy of energy products in SOE subsidiaries through sentiment analysis using the VADER and LSTM methods on social media.The researcher analyzed data from twitter to identify consumer sentiment towards energy products. The results of the analysis show that the combination of VADER and LSTM is effective in identifying the nuances of sentiment, with the accuracy of sentiment classification reaching 85%. Based on the analysis, the researchers developed recommendations for marketing strategies that are more focused and responsive to public perception. This study also highlights the importance of two-way interaction between companies and consumers as part of an effective marketing strategy. The findings of this study are expected to be used as a reference by state-owned companies in the energy sector to improve the effectiveness of their marketing strategies through a sentiment analysis approach on social media.

Strategi Pemasaran Produk Qardh Beragunan Emas dalam Meningkatkan Minat Nasabah pada Bank Syariah Indonesia KCP Medan Aksara

This study evaluates the marketing strategy of the Gold-Backed Qardh product at Bank Syariah Indonesia KCP Medan Aksara with the aim of identifying the effectiveness of the strategy in increasing customer interest. The method used is qualitative with a SWOT analysis approach, which involves interviews with the bank and analysis of marketing documents. The results of the study indicate that the marketing strategy implemented includes appropriate market segmentation, product development in accordance with sharia principles, and effective promotion. The SWOT analysis reveals the strengths of the product in terms of sharia compliance and the stable value of gold as collateral, but also highlights challenges such as increasing market awareness and administrative efficiency. Therefore, an integrated marketing strategy that is responsive to market dynamics can increase customer interest and strengthen the bank's position in the market.

Natural Product-Inspired Discovery of Naphthoquinone-Furo-Piperidine Derivatives as Novel STAT3 Inhibitors for the Treatment of Triple-Negative Breast Cancer.

Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer, and STAT3 has emerged as an effective drug target for TNBC treatment. Herein, we employed a scaffold-hopping strategy of natural products to develop a series of naphthoquinone-furopiperidine derivatives as novel STAT3 inhibitors. The in vitro assay showed that compound 10g possessed higher antiproliferative activity than Cryptotanshinone and Napabucasin against TNBC cell lines, along with lower toxicity and potent antitumor activity in a TNBC xenograft model. Mechanistically, 10g could inhibit the phosphorylation of STAT3 and the binding affinity was determined by the SPR assay (KD = 8.30 μM). Molecule docking studies suggested a plausible binding mode between 10g and the SH2 domain, in which the piperidine fragment and the terminal hydroxy group of 10g played an important role in demonstrating the success of this evolution strategy. These findings provide a natural product-inspired novel STAT3 inhibitor for TNBC treatment.

Efektivitas Strategi Pemasaran dalam Membangun Kepercayaan Pengguna Pada BKKBISA

In maintaining the growth of a business, efforts are needed to develop effective marketing strategies including digital marketing with the marketing mix method and strategies in increasing user trust. This study aims to determine the effectiveness of marketing strategies in building BKKBISA user trust. The research method used was a qualitative approach, data collection techniques were carried out by interview, observation, and documentation with the director of PT TNR Solution Indonesia, BKKBISA users, and HR. Sinergia (BKKBISA partnership). The results of this study indicate that the marketing strategy carried out by BKKBISA in building user trust is with product strategy, price, place, promotion, people, process, and physical evidence. In addition, stratregies are also used in increasing consumer confidence, such as ability, benevolance, and integrity. From the application of these strategies, it was found that the marketing strategy carried out was effective, this was evidenced by the increase in the number of BKKBISA users from before, namely from 516,861 users in early November 2023 to 546,539 users in December 2023. This increase has a good effect on the development of the company

Corporate Mistakes In Product Promotional Strategy

The Global Village concept made the world population easily accessible to corporates. A company has to be very careful in designing its sales promotion techniques. It has to consider the variations in the cultures, sentiments and wants. Different options and values of other markets are focused on promoting the products and services. The sales promotion mix components must be proportionally used for optimal results. A company has to decide which product promotional strategy is ideal for its product: push, pull, or a combination of both. This article elaborated on the wrong promotional strategy adopted by many corporates to market their products. Ultimately, the products failed in the market due to the consumers' rejection, leading to enormous losses for the companies. Some products of reputed companies fail due to the wrong product promotion strategy. Analysing these failed models will enrich the corporate's knowledge of applying marketing strategies. The sales promotion strategy should match the product's quality and express the product's natural features, as discussed in this article; different sales promotion strategies and styles are available before the manufacturers. They choose the right strategy and promotion method to match the product and market. If the product and promotion strategy are perfectly matched, then the company can take the synergic value of profits

Marketing Strategy of Tape Producers in Pematang Panjang Village

he aim of this research is to 1) Describe product strategies for marketing Tape. 2) Describe the pricing strategy for marketing Tape. 3) Describe the marketing strategy for Tape. 4) Describe promotional strategies for marketing Tape. This research was conducted using a qualitative approach with descriptive methods used in this research to describe the marketing strategy of Tape producers in Pematang Panjang Village. The subjects in this research were Tape craftsmen. The data collection technique was carried out by observing the location of the peat Tape craftsmen in Pematang Panjang, interviews and documentation in the form of recordings and pictures. Data analysis uses data reduction based on research objectives, presenting data based on descriptions and drawing conclusions. Test data validity and triangulation. As a result of the research, the concept used in the marketing mix for Tape is the 4P model because it is good enough so that the effectiveness of the four models can increase and continue to grow in marketing, especially the number of consumers. The marketing mix concept is used as a concept that develops a strategy which will later become a benchmark for the company in marketing so that it will get the desired target.

Strategi Promosi Melalui Media Sosial Instagram Di Langgeng Florist Bali

Langgeng Florist Bali is one of the flower businesses in the Jimbaran area which was established in 2013 and has experienced very fast development. This development is supported by promotional strategies carried out on Instagram social media to introduce the products or services they have. The aim of this research is to determine the promotional strategy for Langgeng Florist Bali which is carried out through Instagram social media. Data collection techniques were carried out using interview and documentation methods. The data obtained was then analyzed using the SWOT analysis technique by combining internal and external factors. The research results show that the Instagram social media strategy implemented is as follows: (1) participating in events or exhibitions and posting these moments via Instagram stories. (2) working with influencers or popular accounts to collaborate to create interesting content about flowers, (3) creating interesting and creative visual content by utilizing Instagram features such as reels, guides, or shopping (4) carrying out product and service diversification strategies services such as wedding decorations, (5) identifying market segments and determining the market segments that best suit Langgeng Florist Bali's products and services.

Digital Branding Strategy for Leather Bag Products at the Manding Sabdodadi Bantul Craft Center

Digital Branding Strategy for Leather Bag Products at the Manding Sabdodadi Bantul Craft Center