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Artículos de revistas sobre el tema "Marketing research Data processing"

Autor: Grafiati

Publicado: 27 de julio de 2024

Última modificación: 31 de julio de 2025

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1

Ganebnykh, E. V., N. K. Savelieva, A. A. Sozinova, O. V. Fokina, and I. G. Altsybeeva. "Machine learning methods (tokenization) in marketing research." Vestnik Universiteta, no. 4 (June 17, 2024): 61–72. http://dx.doi.org/10.26425/1816-4277-2024-4-61-72.

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Field research is of particular interest in marketing because it often generates unique statistics. Closed-ended questions during data collection simplify data processing, but at the same time significantly limit the research subject depth. Open-ended questions provide a deeper understanding of respondents’ opinions, but processing responses in the form of natural language (qualitative data) is difficult and time-consuming, as it is usually done manually. Modern machine learning techniques, particularly tokenization, can be used to automate such data processing. The purpose of the study is to

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Li, Xinlin, and Xiuhui Dong. "Research on Intelligent Marketing Scheme Based on Fuzzy Mathematics Theory and Vehicular Networking Data." Journal of Computer Science and Artificial Intelligence 3, no. 1 (2025): 48–52. https://doi.org/10.54097/r9vmy462.

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With the rapid development of information technology, the Internet of vehicles has produced massive data, which has brought new opportunities for the intelligent marketing of the automobile industry. However, there is ambiguity and uncertainty in these data, which brings challenges to effective use. This paper introduces the theory of fuzzy mathematics into the processing of car networking data, aiming to construct an innovative intelligent marketing program. Through the collection of Telematics data, analysis and processing based on fuzzy mathematics, it can realize accurate market positionin

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Eshbayev, Oybek, and Laylo Yakhshiboeva. "Harnessing Big Data Processing in Computer Networks for Digital Marketing Entrepreneurship." Financial Technology and Innovation 3, no. 2 (2023): 30–36. http://dx.doi.org/10.54216/fintech-i.030204.

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This research investigates the integration of big data processing in computer networks for digital marketing entrepreneurship to optimize marketing strategies and drive business growth. By analyzing current digital marketing practices, we identify key challenges faced by entrepreneurs. Through examining successful case studies, we showcase the effectiveness of big data processing in marketing campaigns. A practical framework is developed to guide startups and small businesses in integrating big data processing into their marketing strategies, considering factors like customer behavior analysis

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Bhagya, Shree M., V. Pavana K, K. Khushbu, N. R. Deepak, and Sahu Rajesh. "Real-time Predicting Analytics for Financial Marketing Trends Using Big Data." Journal of Network Security and Data Mining 8, no. 2 (2025): 9–17. https://doi.org/10.5281/zenodo.15117499.

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<em>The growing availability of the extensive, including the Internet of Things (IoT), social media platforms, and search engines, has presented B2B (business-to-business) industrial marketing organizations with significant opportunities to use analytical methods for crafting programmatic marketing strategies in online display advertising. However, the tasks of cleansing, processing, and analyzing these large datasets come with considerable challenges, especially in the context of real-time decision-making and its broader implications. Despite these opportunities, research exploring these inte

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LARKA, Ludmila. "MARKETING RESEARCH AS AN INFORMATION BASIS FOR THE DIAGNOSTICS OF THE MARKETING ACTIVITY OF THE ENTERPRISE." Herald of Khmelnytskyi National University. Economic sciences 314, no. 1 (2023): 80–84. http://dx.doi.org/10.31891/2307-5740-2023-314-1-10.

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The article examines the correspondence of marketing research to the information needs of marketing diagnostics of the enterprise. The purpose of the article is to substantiate the expediency of a wider application of marketing research as an information basis for diagnosing the marketing activity of an enterprise in modern economic conditions. It was determined that the application of marketing research ensures the search, processing, accumulation and updating of information through the use of special methods of its processing for the purpose of making management decisions. The possibility of

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Dilfuza, Kuzikulova, and Rozikov Ravshan. "Leveraging Big Data Processing in Computer Networks for Effective Digital Marketing Strategies." Financial Technology and Innovation 3, no. 2 (2023): 23–29. http://dx.doi.org/10.54216/fintech-i.030203.

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In the rapidly evolving digital landscape, businesses are increasingly turning to digital marketing strategies to engage their target audiences effectively. The abundance of data generated through online interactions presents both opportunities and challenges in leveraging it for marketing purposes. This research investigates the potential of integrating big data processing in computer networks to optimize digital marketing strategies and enhance customer targeting. By exploring the current state of digital marketing practices and the role of computer networks in data processing, this study ai

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الدرولى, علاء الدين محمد سالم. "استخدام تقنيات الذكاء الاصطناعي في تحليل البيانات التسويقية". International Science and Technology Journal 35, № 1 (2024): 1–12. https://doi.org/10.62341/amsd1715.

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Big data has become a major resource for companies seeking competitive advantage. Using artificial intelligence (AI) techniques to analyze marketing data is an innovative approach to improving marketing strategies and increasing effectiveness. This research focuses on reviewing how artificial intelligence can be applied to analyze marketing data and extract valuable insights to improve customer experience and enhance financial performance[1]. The process begins with collecting data from various sources such as social media, websites, email, sales records, and mobile applications. The data is t

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Wu, Xudong. "Research on Cigarette Market Capacity Forecasting Based on Data Mining Methods." Transactions on Economics, Business and Management Research 11 (November 5, 2024): 519–27. https://doi.org/10.62051/28e4gx03.

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With the tobacco industry gradually stepping into the modern cigarette marketing mode of data and informationization, cigarette precision marketing will become the industry's new way of refined marketing management. Among them, precise placement is one of the important contents of cigarette precision marketing. Precision placement is based on the segmentation, quantification, and combination of brand, customer, market, and time, aiming at precisely supplying the brand to the corresponding market segments, and realizing the goal of “finding the market for the brand, finding the brand for the ma

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Oursatyev, Oleksii A. "Data Research in Industrial Data Mining Projects in the Big Data Generation Era." Control Systems and Computers, no. 3 (303) (2023): 33–53. http://dx.doi.org/10.15407/csc.2023.03.033.

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Introduction. The review material is based mainly on business intelligence (BI) solutions designed for tasks with corporate data. But all the main aspects of working with data discussed in the work are also used on data processing platforms (Data Science Platform). Many BI vendors have expanded the capabilities of their systems to perform more advanced analytics, including Data Science. They added the phrase “Data Science” to their marketing research, and the term “advanced analytics” lost some popularity in relation to corporate data. The Data Science Platform provides a comprehensive set of

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Zhou, Dan. "Tourism destination marketing strategy driven by big data." Journal of Computational Methods in Sciences and Engineering 24, no. 4-5 (2024): 2593–609. http://dx.doi.org/10.3233/jcm-247486.

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In this study, the marketing strategy of tourism destination driven by big data is deeply discussed. Firstly, the application of big data in the tourism industry and the current strategy of tourism destination marketing are analyzed, and then the research methods are designed through factor analysis and big data analysis theory. After processing and factor analysis of the collected data, the influence of big data on tourism destination marketing strategy is analyzed, and the possible optimization path is explored. At the same time, the problems and challenges encountered in this process are al

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Duma, Oleh, and M. Melnyk. "Modern technologies of marketing research and market analysis." Management and Entrepreneurship in Ukraine: the stages of formation and problems of development 2021, no. 2 (2021): 29–39. http://dx.doi.org/10.23939/smeu2021.02.029.

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Nowadays, marketing research is increasingly important for the success of enterprises. Conducting marketing research reduces the risk of making wrong decisions in the analysis and development of marketing strategies, planning and control of marketing activities. The article provides an overview of the emergence of marketing research, explores the latest methods of marketing research, their advantages and disadvantages, the possibility of its application at different stages of marketing activities. Scientific approaches to the interpretation of the concepts "marketing research", "methods of mar

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Chornous, Galyna, Yana Fareniuk, Vincentas Rolandas Giedraitis, Erstida Ulvidienė, and Ganna Kharlamova. "A data science-based marketing decision support system for brand management." Innovative Marketing 19, no. 2 (2023): 38–50. http://dx.doi.org/10.21511/im.19(2).2023.04.

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To improve the marketing activity and brand management and justify the most effective marketing decisions, organizations should implement different information technologies, mathematical methods and models into the marketing decision support system (MDSS). The goal of this paper is to form an architecture of an MDSS, the model base of which is developed on Data Science tools, in particular regression analysis and machine learning methods. The proposed MDSS is a multi-agent information system comprising nine intellectual agents (market environment monitoring, data processing, marketing mix mode

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Lutsiі, Oleksandr, and Oleksandr Helevei. "Formation of Components of the Marketing Information System for Agricultural Products Using Big Data Methods." Oblik i finansi, no. 3(101) (2023): 145–51. http://dx.doi.org/10.33146/2307-9878-2023-3(101)-145-151.

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Big data is a source of innovation. Big data helps companies in various fields move towards digital transformation. The purpose of the article is to reveal the possibilities of using big data methods in marketing agricultural products to increase production efficiency, support the agricultural economy, and develop information marketing systems. The research identifies the possibilities of creating intelligent marketing systems based on big data; evaluates the technological challenges associated with collecting, storing and analysing large volumes of data in real-time; studies the localisation

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Yu, Zhen, and Zhenni Wu. "Marketing Stratification and Path Research based on User Behavior Scenarios and Cluster Analysis in the Background of Big Data." Journal of Education and Educational Research 12, no. 2 (2025): 66–70. https://doi.org/10.54097/tcm1vx23.

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With the rapid development of Internet and digital technology, user behavior trajectory has become an important basis for enterprises to analyze market dynamics, optimize products and formulate precise marketing strategies. The purpose of this paper is to discuss the analysis method of automobile user behavior trajectory and its application in marketing path. Through the in-depth analysis of user behavior data, enterprises can understand the consumer psychology, purchasing habits and preferences of users, so as to formulate personalized marketing strategies, improve marketing effects and reduc

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Sruthi S Madhavan. "Integration and Innovation Path Analysis of Enterprise Marketing Data Management Based on Deep Learning." Journal of Information Systems Engineering and Management 10, no. 32s (2025): 182–98. https://doi.org/10.52783/jisem.v10i32s.5219.

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Managing and utilizing marketing data presents numerous challenges for businesses; this analysis sheds light on a few of these limitations. These obstacles, which range from data fragmentation to the complexities of real-time analytics, must be overcome to allow for marketing insights to reach their full potential. Issues that arise in the management of an organization's marketing records include concerns about scalability, the necessity of real-time processing, the need for trustworthy predictive modeling, and the integration of data from numerous sources. These problems prevent companies fro

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Dorokhova, Liudmyla, Oleksandr Dorokhov, and Andres Kuusik. "Fuzzy Methods in Marketing Research: Brief Literature Review." Studies in Business and Economics 19, no. 3 (2024): 67–86. https://doi.org/10.2478/sbe-2024-0044.

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Abstract Background: Literature studying is a critical step in research. It allows identified gaps, unresolved issues, research directions, methods, and models for use. Accordingly, publication review is an ongoing task. A lot of poorly defined data makes it difficult to use precise methods, and require new approaches for their processing. One of them is fuzzy modeling. Today it is used little in marketing, therefore there is a need to analyze examples and outline possible it’s applications in marketing. Objectives: The object of the review was to study publications describing fuzzy methods fo

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Erwin, Haris Maupa, Julius Jilbert, and Abdullah Sanusi. "Co-Creation Building Power on Social Media: Can Influencers or Viral Campaigns do it for Marketing Performance?" Revista de Gestão Social e Ambiental 18, no. 7 (2024): e06819. http://dx.doi.org/10.24857/rgsa.v18n7-139.

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Objective: This research aims to analyze the influence of social media trends, namely the use of viral marketing campaigns and social media influencers, in improving the marketing performance of MSEs by mediating co-creation-building power. Co-creation building power was built as an active response from MSEs to increase co-creation on their social media. Method: The research used respondents as many as 200 MSEs who actively use social media, utilize viral campaigns, and use influencers in marketing their business. Research data was collected using a questionnaire, which was analyzed using PLS-

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Farida. "Strategic Insights into Elevating Marketing Performance." Ilomata International Journal of Management 4, no. 4 (2023): 678–96. http://dx.doi.org/10.52728/ijjm.v4i4.972.

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This research aims to determine the strategies used by the Melati Farming Women's Group in Bogor to improve product marketing performance. This article presents strategic insights into the marketing performance of the sweet potato brownie business through a mixed methodology approach. Data collected in research consists of primary data and secondary data. Primary data was obtained through observations and interviews in the form of prices produced and costs incurred to operate the business to gain profits, and secondary data was obtained from publications from related agencies, various print an

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Annisa, Ivony, Ratna Winandi Asmarantaka, and Rita Nurmalina. "EFISIENSI PEMASARAN BAWANG MERAH (KASUS: KABUPATEN BREBES, PROVINSI JAWA TENGAH)." MIX: JURNAL ILMIAH MANAJEMEN 8, no. 2 (2018): 254. http://dx.doi.org/10.22441/mix.2018.v8i2.005.

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Abstract. This study aims to analyze the operational efficiency (marketing margin, farmer’s share, profit ratio) and the price efficiency in Brebes Regency. Quatitative data processing used to analyze marketing margin, farmer’s share, the ratio of benefits to costs by using Microsoft Excel 2016 while market integration alaysis used Eviews 9. Qualitative data processing used to analyze marketing channels and marketing istitutions. The research results showed that there are seven types of marketing channels in the marketing system of shallot in Brebes Regency. Analysis of operational efficiency

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Amran, Annis Shafika, Sharifah Aida Sheikh Ibrahim, Nurul Hashimah Ahamed Hassain Malim, et al. "Data Acquisition and Data Processing using Electroencephalogram in Neuromarketing: A Review." Pertanika Journal of Science and Technology 30, no. 1 (2021): 19–33. http://dx.doi.org/10.47836/pjst.30.1.02.

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Electroencephalogram (EEG) is a neurotechnology used to measure brain activity via brain impulses. Throughout the years, EEG has contributed tremendously to data-driven research models (e.g., Generalised Linear Models, Bayesian Generative Models, and Latent Space Models) in Neuroscience Technology and Neuroinformatic. Due to versatility, portability, cost feasibility, and non-invasiveness. It contributed to various Neuroscientific data that led to advancement in medical, education, management, and even the marketing field. In the past years, the extensive uses of EEG have been inclined towards

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Lehenchuk, S. F., and T. O. Zavalii. "Big Data in marketing analytics: opportunities and problems of use." Problems of Theory and Methodology of Accounting, Control and Analysis, no. 1(54) (May 1, 2023): 52–58. http://dx.doi.org/10.26642/pbo-2023-1(54)-52-58.

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The relevance of conducting research in the direction of using Big Data to improve marketing activities has been grounded. A bibliometric analysis of publications on the subject of «Big Data and marketing» in the scientometric database Scopus has been carried out. The main aspects of using Big Data in marketing analytics have been grounded. The main advantages of using Big Data in marketing analytics have been analyzed. The prospects and opportunities for the development of marketing analytics based on the use of Big Data have been identified and characterized (improvement of interaction with

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Wang, Yafei. "Big Data Mining Method of Marketing Management Based on Deep Trust Network Model." International Journal of Circuits, Systems and Signal Processing 16 (January 14, 2022): 578–84. http://dx.doi.org/10.46300/9106.2022.16.72.

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Through big data mining, enterprises can deeply understand the consumer preferences, behavior characteristics, market demand and other derived data of customers, so as to provide the basis for formulating accurate marketing strategies. Therefore, this paper proposes a marketing management big date mining method based on deep trust network model. This method first preprocesses the big data of marketing management, including data cleaning, data integration, data transformation and data reduction, and then establishes a big data mining model by using deep trust network to realize the research on

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Li, Zhi Gang, Ze Tian Fu, Jia Yong He, Quan Qi, and Dong Qing Zhu. "Integration Research of Thermoelectric Enterprise Marketing Management Information System." Advanced Materials Research 658 (January 2013): 578–86. http://dx.doi.org/10.4028/www.scientific.net/amr.658.578.

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Due to business expansion and increased market competition, Tianfu thermoelectric original electric gas marketing system can no longer meet the needs of enterprise development which lead to information islands. In response to these issues, based on the business needs, this paper constructed a marketing network management system platform integrated with electricity, heat and gas for the thermal power enterprises. This system includes: 1) Establishment of enterprise data center and centralized storage of the business system data. 2) Establishment of enterprise portal system for achievement of si

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Velagapalli, Mamatha Dr. Sanjay Kumar2. "MARKETING SHARE, MARKETING EFFICIENCY, MARKETING MARGIN, PRICE SPREAD OF TOMATO MARKETING CHANNELS IN RANGA REDDY DISTRICT, TELANGANA." MULTILOGIC IN SCIENCE XIII, no. XXXXVII (2023): 828–32. https://doi.org/10.5281/zenodo.8111958.

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The present study on Study On Marketing Of Tomato In Ranga Reddy District Telangana was carried out during the session2022-2023. The Descriptive research design was used in this study. Over all 100 respondents were selected by using random sampling method. The data were collected by personally interviewing the respondents with the help of structured questionnaire schedule. The data collected were carefully examined, classified, quantified, and tabulated. Frequencies, mean, standard deviation, percentage formula, marketing margin and cost of marketing were employed for interpreting the results.

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-, Junianto. "ANALISIS PEMASARAN OTAK-OTAK IKAN "SELARAS LEGENDARIS" DI KOTA BANDUNG." Agrifo : Jurnal Agribisnis Universitas Malikussaleh 9, no. 2 (2024): 67. http://dx.doi.org/10.29103/ag.v9i2.15916.

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Marketing strategy is a way to achieve marketing goals, involving target markets, product positioning, marketing mix and budget. In business, marketing strategies are very important to survive in a competitive market. This research aims to identify the added value of processing mackerel fish into otak-otak, namely the "Otak-Otak Selaras Legendaris" in Cicendo District, Bandung City, as well as to analyze the market. The method used in this research is the case study method. The data used in this research is primary data. Data collection in this research includes observation, interviews and log

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Oyekunle, Oyebowale Blessing, Bolaji Comfort Adeniyi, and Johnson Dare Adeeko. "The Influence of Marketing Orientation on the Formation of Unique Value Propositions of Food Processing Companies in Southwest, Nigeria." British Journal of Marketing Studies 12, no. 2 (2024): 27–42. http://dx.doi.org/10.37745/bjms.2013/vol12n22742.

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The purpose of the study was to investigate the extent to which marketing orientation influences the formation of unique value propositions of food processing companies in Southwest, Nigeria. The descriptive research design of the survey type was adopted in the study. Purposive sampling technique was adopted to select two hundred and four (204) operation and marketing managers of food processing companies in selected states in Southwest, Nigeria. The study adopted the interview method of data gathering. The data collected for the study was analyzed using both descriptive and inferential statis

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Oky, Friska, and Deli Romano Anwar. "An Analysis of Marketing Efficiency and Value Added Commodity of Robusta Coffee in Aceh Jaya Regency." International Journal of Innovative Science and Research Technology 7, no. 3 (2022): 1075–78. https://doi.org/10.5281/zenodo.6452101.

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Coffee processing in Aceh Jaya Regency is still limited to processing roasted coffee and coffee grounds are said to be modern and the marketing system for coffee products is still simple. Processing entrepreneurs and market opportunities are still around the business area with a limited number according to consumer demand. Pricing is still influenced by agents and wholesalers because farmers have to sell their products in bulk due to access to capital needed by farmers. This study aims to calculate the marketing efficiency of robusta coffee and calculate the added value obtained from the perpe

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Sivamani, M., P. Sathya, and R. Narmadha. "Artificial Intelligence Methods for Data Science and Data Analytics." REST Journal on Data Analytics and Artificial Intelligence 3, no. 3 (2024): 82–84. http://dx.doi.org/10.46632/jdaai/3/3/9.

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Artificial intelligence (AI) represents a multidisciplinary field aimed at automating tasks that traditionally require human intelligence. This paper explores the evolution, methodologies, applications, and challenges of AI in the domains of data science and data analytics. Key AI techniques such as machine learning (ML), deep learning (DL), natural language processing (NLP), and computer vision are discussed, alongside their applications in various sectors including healthcare, finance, customer service, marketing, autonomous vehicles, manufacturing, and cyber security. The review also highli

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Zare, Zahra, Annur Islam Sifat, and Mumtaz Karatas. "A Review of Data Analytics and Machine Learning for Personalization in Tech Sector Marketing." Journal of Soft Computing and Decision Analytics 3, no. 1 (2025): 92–111. https://doi.org/10.31181/jscda31202562.

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This paper reviews the data analytics and machine learning applications in enhancing the personalization of digital marketing communications within the technology sector. Our review focuses on key areas such as customer segmentation, predictive analytics applications, real-time data processing, and behavioral and sentiment analysis. Using an exploratory and qualitative research approach, we examine 61 articles, reports, and case studies. Our study highlights how data-driven and machine learning methodologies improve customer responsiveness and marketing strategies. Our findings reveal that ana

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Romdoni, Mochamad Yusuf. "RANCANG BANGUN SISTEM INFORMASI PENGOLAHAN DATA CUSTOMER DIGITAL MARKETING PADA MB STORE." INFORMATIKA SAINS TEKNOLOGI 2, no. 2 (2024): 24–30. http://dx.doi.org/10.34005/insit.v2i2.4071.

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The purpose of this research is to design and build a data processing information system at the MB Store which is engaged in digital marketing services. The current problems Processing customer data while still using static data so that it still makes it difficult for admins to find and collect customer data information both those that are being processed, currently running and also those who have ordered before. This static data collection also often causes confusion or misunderstanding between customers and service officers in controlling different customer needs, besides that it also often

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Miftah, Himmatul, Siti Malihatul Aviah, Syaima Lailatul Mubarokah, Ita Novita, and Ikhsan Qodri Pramartaa. "Analysis of The Marketing Efficiency of Curcuma in The Medicine Plant Processing Industry." Indonesian Journal of Social Research (IJSR) 5, no. 2 (2023): 157–67. http://dx.doi.org/10.30997/ijsr.v5i2.326.

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Farmers distribute curcuma through several marketing agencies to the sringanis plantation processing industry. It impacts farmers' income, so the research aims to determine the pattern of Curcuma marketing channels as a raw material for the medicinal plant processing industry, the value of efficiency indicators, and the level of efficiency of each marketing channel—methods of data collection using purposive sampling and snowball sampling. Respondents are farmers, middlemen, and managers of the sringanis plantation processing industry. The analytical approach uses quantitative analysis, namely

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Rita Haju Kaesti, Agus Suyatno, and Esti Dwi Rahmawati. "Analisis Niat Beli Produk Herborist terhadap Influencer Marketing dan Ulasan Konsumen Online." Jurnal Kewirausahaan Cerdas dan Digital 1, no. 4 (2024): 43–50. http://dx.doi.org/10.61132/jukerdi.v1i4.304.

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This research aims to analyze the influence of influencer marketing on purchase intentions through online consumer reviews. The population in this study were users of herbalist products. The number of samples used in this research was 100 respondents. The variables used in this research are influencer marketing, purchase intention and online consumer reviews. The data used in this research are primary data and secondary data. The data collection method used was a questionnaire. The data processing technique in this research uses SmartPLS 4.1. The results of this research show that influencer m

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Gerasimov, Aleksandr, and Aleksandr Suglobov. "Marketing research of the market of waste and secondary raw materials processing technologies." Russian Journal of Management 9, no. 4 (2022): 111–15. http://dx.doi.org/10.29039/2409-6024-2021-9-4-111-115.

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The purpose of this article is a marketing study of the industrial waste processing and production of secondary raw materials from the initial stages to the production of the finished product. As a result of the study, the volumes and sources of waste generation in Russia, their circulation within the country and abroad, the experience of entrepreneurs in the field of waste processing were identified. As an illustration, the data of the customs base for 2021 on imports and exports, research by universities and researchers, information about the problems and the state of the market of direct pa

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Success Ugbaja, Unomah, Uloma Stella Nwabekee, Wilfred Oseremen Owobu, and Olumese Anthony Abieba. "Data-Driven Marketing Strategies: How AI and Visualization Improve Consumer Insights." International Journal of Advanced Multidisciplinary Research and Studies 4, no. 6 (2024): 1788–804. https://doi.org/10.62225/2583049x.2024.4.6.4153.

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In the digital era, businesses increasingly rely on data-driven marketing strategies to understand consumer behavior, optimize campaigns, and enhance decision-making. Artificial Intelligence (AI) and data visualization have revolutionized how marketers extract insights from vast datasets, enabling more precise targeting and personalized customer experiences. This study explores the role of AI-driven analytics and visualization techniques in improving consumer insights, fostering data-driven marketing strategies, and enhancing business performance. The study evaluates key AI applications in mar

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Yang, Hui, Zhuohang Zheng, and Chu Sun. "E-Commerce Marketing Optimization of Agricultural Products Based on Deep Learning and Data Mining." Computational Intelligence and Neuroscience 2022 (May 18, 2022): 1–11. http://dx.doi.org/10.1155/2022/6564014.

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China Internet plus agriculture was first put forward in 2015 by the Chinese government’s work report, laying the foundation for the development of Internet plus agriculture and promoting the rapid growth of e-commerce marketing of agricultural products. The combination of agricultural product marketing and e-commerce effectively reduces the intermediate links of agricultural product sales. Many e-commerce professional villages have sprung up in some rural areas across the country, and the number of rural e-commerce stores has continued to grow. At this stage, rural e-commerce has become a new

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Fazil Ahmad, Muhamad. "The Impact of Big Data Processing Framework for Artificial Intelligence within Corporate Marketing Communication." International Journal of Engineering & Technology 7, no. 4.34 (2018): 384. http://dx.doi.org/10.14419/ijet.v7i4.34.26879.

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This research examines what impact the Big Data Processing Framework (BDPF) has on Artificial Intelligence (AI) applications within Corporate Marketing Communication (CMC), and thereby the research question stated is: What is the potential impact of the BDPF on AI applications within the CMC tactical and managerial functions? To fulfill the purpose of this research, a qualitative research strategy was applied, including semi-structured interviews with experts within the different fields of examination: management, AI technology and CMC. The findings were analyzed through performing a thematic

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Muhammad Rizqi Firdaus, Muhammad Rizqi Firdaus, I. Ketut Mastika I Ketut Mastika, and Edy Wahyudi Edy Wahyudi. "Pengaruh Internal Marketing dan Marketing Capabilities terhadap Competitive Advantage pada PT Sirtanio Organik Indonesia." Jurnal Strategi dan Bisnis 12, no. 2 (2024): 113–20. https://doi.org/10.19184/jsb.v12i2.4201.

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This research aims to examine the correlation of competitive advantage and internal marketing and marketing capabilities will influence the marketing done by the company. This correlation wants to show the relationship between strategic advantage and competitive advantage, this is an effort in creating competitive in a dynamic competitive market. Marketing capability is innovation in knowledge and working mechanisms at the level of company development, where the development allows the company to improve human resources. While marketing capabilities is a company's ability to face competitors, b

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Chlebovský, Vít, and Vítězslav Plšek. "Research on Czech firms’ marketing communication based on social media networks." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 60, no. 7 (2012): 111–18. http://dx.doi.org/10.11118/actaun201260070111.

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Objective of the research described in this article is to make an analysis of the usage of marketing communication using both traditional Internet communication channels as well as Social Media Networks by the Czech companies. Primary research was made through on-line questionnaire. Companies across the branches and size categories within the Czech economy were addressed. Companies were selected from the www.firmy.cz portal. Only companies with their own web domain were addressed. The typical respondents were mostly from middle management, especially managers from the marketing or commercial d

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Andriani, Aisyah, Misti Hariasih, and Rita Ambarwati Sukmono. "Influencer Marketing, Personal Branding Image, And Affiliate Marketing Against Tiktok Shop Consumer Impulsive Buying." Journal of Economic, Bussines and Accounting (COSTING) 7, no. 4 (2024): 10428–504. http://dx.doi.org/10.31539/costing.v7i4.10864.

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This research aims to identify the influence of Influencer Marketing, Personal Branding, and Affiliate Marketing on Consumer Impulsive Buying at the Tiktok Shop. The population in this research is consumers using Tiktok Shop (aged 11-39 years) in East Java with the sample size determined using the Slovin formula in this quantitative research being 110 respondents, who were selected using probability sampling techniques with random sampling type. In other words, there is an equal opportunity for people to be sampled with the characteristics of the sample used in the research, namely customers w

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Besiri, Defne. "Big Data Analytics for Real-Time Marketing: Opportunities and Challenges." Human Computer Interaction 8, no. 1 (2024): 169. https://doi.org/10.62802/0tybm167.

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Big Data Analytics has revolutionized real-time marketing by enabling organizations to process vast amounts of data to deliver personalized and timely customer experiences. This research explores the opportunities provided by Big Data Analytics in transforming marketing strategies, such as enhanced customer segmentation, predictive analytics for targeted campaigns, and dynamic content delivery. It highlights how real-time data processing facilitates agile decision-making, allowing businesses to adapt to rapidly changing market conditions. Simultaneously, the study addresses the challenges of B

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Venger, E. I., and Arman Akhtoian. "THE ROLE OF BIG DATA IN THE IMPLEMENTATION OF DIGITAL-MARKETING STRATEGIES." Proceedings of Scientific Works of Cherkasy State Technological University Series Economic Sciences, no. 63 (December 21, 2021): 61–68. http://dx.doi.org/10.24025/2306-4420.63.2021.248464.

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The article is devoted to the study of the impact of Big Data technology on the effectiveness of digital marketing strategies It is emphasized that at present it is almost impossible to implement a marketing strategy that is not based on research, search and analysis of information obtained. Big Data technology is actively used to understand the target audience, consumer behavior, market conditions, etc. It is noted that working with «big data» is the key to creating a quality product or service and successfully promoting them in the market. The current state and features of the development of

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Shao, Xiao Hua. "Research on Online Marketing Technique Based on Three Dimensional Fitting System." Applied Mechanics and Materials 651-653 (September 2014): 1627–33. http://dx.doi.org/10.4028/www.scientific.net/amm.651-653.1627.

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With the constant improvement of network system, network environment has made people's life become convenient. Especially that the clothing network marketing has become the main way of people's daily consumption. Through combing three dimensional fitting system with online marketing, the current disadvantage of that online clothing sale is merely displayed with pictures is changed. This paper has made brief analysis for three dimensional fitting system and online marketing, put forwarded several technical support for fitting system design, and selected the optimal technology, then emphasized t

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Dr. Arijit Bhattacharya and Dr.Pritee Saxema. "TRANSFORMING MARKETING THROUGH AI: A LITERATURE REVIEW AND FUTURE RESEARCH AGENDA." Journal of Global Economy 19, no. 2 (2023): 61–67. http://dx.doi.org/10.1956/jge.v19i2.691.

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Artificial Intelligence (AI) has become a buzzword in today’s business landscape and the realm of marketing is no exception. AI’s widespread adoption is due to the presence of digital channels and devices frequented by customers have led to an explosion of customer data - big data. As AI can process large amounts of data, learn from it, and make predictions has revolutionized how companies approach marketing. Nowadays, AI algorithms, natural language processing, and machine learning can process and analyze large amounts of data quickly and accurately and have made it possible for businesses to

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Rini, Atmi Sapta, Son Wandrial, Lutfi Lutfi, Ida Jaya, and Bambang Satrionugroho. "Data-Driven Marketing: Harnessing Artificial Intelligence to Personalize Customer Experience and Enhance Engagement." Join: Journal of Social Science 1, no. 6 (2024): 282–95. http://dx.doi.org/10.59613/akx6j040.

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This study explores the integration of artificial intelligence (AI) in data- driven marketing to personalize customer experiences and enhance engagement. Using a qualitative research approach through literature review and library research, this paper examines various AI-driven marketing strategies and their impact on customer interactions. The analysis reveals that AI technologies, such as machine learning, predictive analytics, and natural language processing, have revolutionized marketing by enabling personalized content, product recommendations, and dynamic customer segmentation. These adva

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Setiawan, Budi, Putri Dwi Cahyani, Lusia Tria Hatmanti Hutami, and Bernadetta Diansepti Maharani. "The Influence of Social Media Marketing on Brand Awareness, Brand Image, Customer Engagement, and Purchase Decision." Economics and Business Solutions Journal 8, no. 2 (2024): 124. http://dx.doi.org/10.26623/ebsj.v8i2.10312.

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This study aims to analyze how Social Media Marketing (SMM) influences Brand Awareness, Brand Image, Customer Engagement, and Purchase Decision. Using Signal Processing and Information Processing theories, this research identifies gaps in the literature regarding the relationship between SMM, Brand Awareness, Brand Image, Customer Engagement, and Purchase Decision. This research employs a quantitative approach with a survey method to collect data from 105 respondents. The sampling technique used is purposive sampling, which means selecting samples based on specific criteria relevant to the res

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Rafidah Amelia Anastasya and Yekti Condro Winursito. "Penerapan Ranah Digital Marketing Funnel Untuk Meningkatkan Strategi Penjualan Graha Office Dengan Analisis SWOT." Venus: Jurnal Publikasi Rumpun Ilmu Teknik 2, no. 1 (2024): 109–21. http://dx.doi.org/10.61132/venus.v2i1.101.

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Current business developments have moved from conventional systems to digital marketing systems and the use of digital marketing is the right opportunity for current developments in Indonesia. However, in its current condition, there are still business actors who do not understand digital marketing and lack awareness among the public or entrepreneurs to utilize digital media as a means to develop their activities. In the research, the researcher used a data processing method with a digital marketing funnel and the data was processed using SWOT analysis. Based on these problems, digital marketi

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Diah Pranitasari, Rizki Kurnia, Dodi Prastuti, Pristina Hermastuti, and Enung Siti Saodah. "Faktor Utama yang Mendorong Pelanggan untuk Kembali Ke Starbucks Indonesia: Kualitas Pelayanan, Harga, Experiental Marketing." SOSMANIORA: Jurnal Ilmu Sosial dan Humaniora 3, no. 2 (2024): 185–93. http://dx.doi.org/10.55123/sosmaniora.v3i2.3625.

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This research aims to determine service quality, price and Experiential Marketing on Repurchase Intention at Starbucks Coffee Indonesia in Green Pramuka Square, East Jakarta. The research method used in this research is quantitative, with the research strategy used by researchers being an associative/causality strategy. The population in this research is all visitors to Starbucks Coffee at Green Pramuka Square, East Jakarta from January to March 2024. This research uses primary data by distributing questionnaires to 200 customers of Starbucks Coffee Store Green Pramuka Square. The sampling tec

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Irada Seyidova, Irada Seyidova, and Sahib Shakhayev Sahib Shakhayev. "BIG DATA PROCESSING WITH PYTHON IN SOCIAL NETWORKS." ETM - Equipment, Technologies, Materials 16, no. 04 (2023): 76–82. http://dx.doi.org/10.36962/etm16042023-76.

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Social networks generate a huge amount of data about the behavior, interests, preferences and connections of users, which can be used for various purposes such as marketing, advertising, analytics, research, etc. However, these data have a large volume, variety and update rate, and require special methods and tools for their analysis and processing. Python is a high-level programming language that has many advantages for working with big data, such as simplicity and flexibility of syntax, a rich set of libraries and frameworks for data processing and analysis, support for multithreading and di

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Sartika, Mira. "Strategi Pemasaran Rumah Makan Wong Solo Kota Sorong Dalam Mengembangkan Usaha Perspektif Pemasaran Islam." At-Thariqah: Jurnal Ekonomi 1, no. 2 (2021): 29–42. http://dx.doi.org/10.47945/at-thariqah.v1i2.658.

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This study discusses the marketing strategy of the Wong Solo restaurant in developing an Islamic Marketing Perspective business. The purpose of this study is to find out how the strategy of Wong Solo restaurant in developing its business and how it is viewed from an Islamic Marketing Perspective. This type of research is qualitative research, namely descriptive research. Furthermore, the data collection method in this study used observation, interviews, and documentation. The data processing and analysis techniques go through three stages, namely data reduction, data presentation, and drawing

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Fu, Wenjie, Hongtao Shen, Bo Feng, et al. "Management of Power Marketing Audit Work Based on Tobit Model and Big Data Technology." Mobile Information Systems 2022 (August 8, 2022): 1–11. http://dx.doi.org/10.1155/2022/1375331.

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In order to improve the management effect of power marketing audit work, this paper combines big data technology to carry out related data processing, changes the management mode of traditional power marketing audit work, analyzes the overall process and characteristics of the current power marketing audit case selection, and designs an audit system. Moreover, this paper builds a data warehouse based on data mining technology and realizes the process of automatic generation of the index system. In addition, this paper chooses the Tobit model proposed by Tobin, which is a restricted dependent v

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