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Articles de revues sur le sujet « Target marketing – Econometric models »

Auteur : Grafiati

Publié le 10 mars 2023

Mis à jour le 31 juillet 2025

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1

Hwang, Seongbeom, and Yuna Lee. "Identifying customer priority for new products in target marketing: Using RFM model and TextRank." Innovative Marketing 17, no. 2 (2021): 125–36. http://dx.doi.org/10.21511/im.17(2).2021.12.

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Target marketing is a key strategy used to increase the revenue. Among many methods that identify prospective customers, the recency, frequency, monetary value (RFM) model is considered the most accurate. However, no RFM study has focused on prospects for new product launches. This study addresses this gap by using website access data to identify prospects for new products, thereby extending RFM models to include website-specific weights. An RF model, built using frequency and recency information from website access data of customers, and an RwF model, built by adding website weights to freque

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Bumbaca, Federico (Rico), Sanjog Misra, and Peter E. Rossi. "Scalable Target Marketing: Distributed Markov Chain Monte Carlo for Bayesian Hierarchical Models." Journal of Marketing Research 57, no. 6 (2020): 999–1018. http://dx.doi.org/10.1177/0022243720952410.

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Many problems in marketing and economics require firms to make targeted consumer-specific decisions, but current estimation methods are not designed to scale to the size of modern data sets. In this article, the authors propose a new algorithm to close that gap. They develop a distributed Markov chain Monte Carlo (MCMC) algorithm for estimating Bayesian hierarchical models when the number of consumers is very large and the objects of interest are the consumer-level parameters. The two-stage and embarrassingly parallel algorithm is asymptotically unbiased in the number of consumers, retains the

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Sedov, Roman. "Data metrics in modern digital marketing." JOURNAL OF REGIONAL AND INTERNATIONAL COMPETITIVENESS 6, no. 1 (2025): 21–30. https://doi.org/10.52957/2782-1927-2025-6-1-21-30.

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The article defines the stages of digital marketing and highlights modern metrics for choosing data analysis tools. Currently, mobile Internet accounts for 80% of the total Internet traffic in the Russian Federation. The research emphasises the components of effective media planning, including return on investments, target audience, increasing brand awareness, and costs optimising. According to the statistics, there are different approaches to increasing sales of new trademarks (brands) via the mobile Internet. The research considers the issues of calculating the market share of a trading comp

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Šoltés, Erik, Janka Táborecká-Petrovičová, and Romana Šipoldová. "Targeting of Online Advertising Using Logistic Regression." E+M Ekonomie a Management 23, no. 4 (2020): 197–214. http://dx.doi.org/10.15240/tul/001/2020-4-013.

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Recently, the internet became the dominant medium in marketing and comparing the development of expenditures into advertising indicates the dominance of online advertising will be inevitably stronger. Internet advertising compared to traditional media advertising has plenty of advantages hence online marketing exhibits a huge expansion in recent era. To fully utilize the potential of online marketing, it is necessary to effectively target activities of relevant internet users with the real presumption they will purchase promoted products or services. The paper is focused on demographic targeti

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Trung, Tran Quang, Do Quang Giam, Vu Thi Hai, et al. "Factors Influencing Milk Consumption of Rural Households in Northern Vietnam." Greener Journal of Business and Management Studies 4, no. 2 (2014): 31–40. https://doi.org/10.15580/gjbms.2014.2.031714148.

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The aims of this research were to identify the factors affecting milk consumption of rural households. As well as to determine the effects of these factors on the rural household’s intention to consume milk. A random sample of 514 rural households in northern Vietnam was selected to collect data on their milk consumption. Methodologically, statistical analysis was used to identify the preferences of rural households in purchasing dairy products and the two-step econometric technique was applied to measure the effects of the socio-economic and demographic factors and characteristics of mi

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Azmi, Nor Jijidiana, Radzuwan Rashid, Bahtiar Mohamad, Mairas Abd Rahman, and Zulkarnian Ahmad. "Student Athletes’ Perception of Female Models in Sports Advertisements." Asian Social Science 13, no. 10 (2017): 120. http://dx.doi.org/10.5539/ass.v13n10p120.

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Women in advertisements are no longer portrayed as having traditional roles. Instead, they are portrayed as dominant and powerful. This new marketing strategy is hoped to be more persuasive in reaching the target audience, especially the female buyers, thus increasing the sales in the market. This qualitative research aims to explore student-athletes’ views on the portrayal of female models in sports advertisements. A focus group interview involving three female student-athletes was conducted. A total of 20 advertisements, which portray female models, from five leading sports brands were used

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Ascarza, Eva. "Retention Futility: Targeting High-Risk Customers Might be Ineffective." Journal of Marketing Research 55, no. 1 (2018): 80–98. http://dx.doi.org/10.1509/jmr.16.0163.

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Companies in a variety of sectors are increasingly managing customer churn proactively, generally by detecting customers at the highest risk of churning and targeting retention efforts towards them. While there is a vast literature on developing churn prediction models that identify customers at the highest risk of churning, no research has investigated whether it is indeed optimal to target those individuals. Combining two field experiments with machine learning techniques, the author demonstrates that customers identified as having the highest risk of churning are not necessarily the best ta

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Wittink, Dick R. "Econometric Models for Marketing Decisions." Journal of Marketing Research 42, no. 1 (2005): 1–3. http://dx.doi.org/10.1509/jmkr.42.1.1.56893.

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Pachali, Max J., Peter Kurz, and Thomas Otter. "How to generalize from a hierarchical model?" Quantitative Marketing and Economics 18, no. 4 (2020): 343–80. http://dx.doi.org/10.1007/s11129-020-09226-7.

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Abstract Models of consumer heterogeneity play a pivotal role in marketing and economics, specifically in random coefficient or mixed logit models for aggregate or individual data and in hierarchical Bayesian models of heterogeneity. In applications, the inferential target often pertains to a population beyond the sample of consumers providing the data. For example, optimal prices inferred from the model are expected to be optimal in the population and not just optimal in the observed, finite sample. The population model, random coefficients distribution, or heterogeneity distribution is the n

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Ochoa, Carlos, and Josep Miquel Porcar. "Modeling the effect of quota sampling on online fieldwork efficiency: An analysis of the connection between uncertainty and sample usage." International Journal of Market Research 60, no. 5 (2018): 484–501. http://dx.doi.org/10.1177/1470785318779545.

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Market, Opinion and Social Research is increasingly relying on non-probabilistic online panels as data sources and quota sampling as the default sampling method. Quota sampling applied to online panels requires discarding participants to ensure that the final sample match the target population distribution. This article analyzes how different features of a quota sample (such as the sample size, number, and types of quotas) impact the number of participants that must be discarded during the data collection (fieldwork efficiency). Both analytical models and simulation have been used for this pur

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Ignatieva, E. V., I. V. Yartseva, Z. S. Shprakh, et al. "Quantitative determination of the N-glycoside derivative of substituted indolo[2,3a]carbazole in innovative dosage forms." Russian Journal of Biotherapy 21, no. 3 (2022): 61–71. http://dx.doi.org/10.17650/1726-9784-2022-21-3-61-71.

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Background. A glycoside derivative of indolocarbazole LHS-1269, one of the new drugs selectively affecting tumors, which was first synthesized at the N.N. Blokhin National Medical-Research Center of Oncology of the Ministry of Health of Russia, is of particular scientific interest. Experimental studies demonstrated a multi-target mechanism of action of this compound. LHS-1269 interacts with several intracellular targets and induces various pathways of cell death. Several innovative models of the dosage forms were designed to achieve the highest antitumor activity of the compound and to perform

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Quaye, Emmanuel Silva, and Yvonne Saini. "Kaya FM: the challenge of an afropolitan positioning." Emerald Emerging Markets Case Studies 11, no. 2 (2021): 1–35. http://dx.doi.org/10.1108/eemcs-06-2020-0182.

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Learning outcomes Amongst other things, at the end of this case discussion, the student should be able to: diagnose situational factors that contribute to a brand’s positioning; explore important issues in implementing brand positioning strategies; use relevant models for understanding a firm’s internal and external environments to inform strategic decisions about customers and competition; demonstrate an understanding of target audience; identify the unique attributes of the competition to inform a firm’s positioning and competitive strategy. Case overview/synopsis Kaya FM derives its name fr

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Monti, Alessandro. "Mozart und seine Subskription der drei Klavierkonzerte KV 413-415 von 1783." Jahrbuch für Wirtschaftsgeschichte / Economic History Yearbook 61, no. 2 (2020): 297–318. http://dx.doi.org/10.1515/jbwg-2020-0013.

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AbstractThe research on the history of pricing strategies and decisions by companies and individuals has not received much attention up to now. This is surprising, as pricing is the most important profit driver, and thus an inquiry into the historic origins of price-related decisions by the early modern market operators can yield important insights for both historians and current practitioners on successful marketing strategies. The following article contributes to the research on business history by proposing, first of all, a framework for the conceptual definition between a revenue and a pri

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Tartaraj, Azeta, Drita Avdyli, and Brunela Trebicka. "Accessing the TikTok Influencer Marketing on Consumer Behavior: An Econometric Examination." Journal of Educational and Social Research 14, no. 2 (2024): 346. http://dx.doi.org/10.36941/jesr-2024-0048.

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Background: This research aims to access the effect of TikTok influencer marketing on consumer behavior using econometric models. TikTok has emerged as a popular social media platform, with influencers playing a crucial role in molding consumer perspectives and purchasing decisions. However, there is a need to empirically understand the effectiveness of TikTok influencer collaborations in driving brand awareness, purchase intentions, and actual purchasing behavior. Methods: Data for this study is gathered through a survey that is conducted to TikTok users, capturing variables such as exposure

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Franses, Philip Hans. "On the Use of Econometric Models for Policy Simulation in Marketing." Journal of Marketing Research 42, no. 1 (2005): 4–14. http://dx.doi.org/10.1509/jmkr.42.1.4.56891.

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In this article, the author discusses the properties of useful econometric models for marketing phenomena, with particular attention on models for policy simulations. The author addresses model diagnostics, parameter stability, exogeneity, and the Lucas critique. He also presents the results of a search through the 1998–2003 issues of the Journal of Marketing Research. Finally, the author offers practical guidelines.

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Olim, Astanakulov, Muhammad Eid Balbaa, Nilufar Batirova, Gulyamova Gulnora, and Sodikov Zokir. "Examining the integration of marketing campaigns and profitability in enterprises: An econometric analysis in business evaluation." International Journal of Innovative Research and Scientific Studies 8, no. 2 (2025): 3285–92. https://doi.org/10.53894/ijirss.v8i2.5998.

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This study examines the impact of marketing campaigns on company profitability in Uzbekistan using econometric models. The setting of Uzbekistan offers a unique vantage point given its rapidly changing marketing landscape and limited existing research. The importance of marketing to business growth and profit optimization cannot be understated. Accordingly, our study addresses this research gap by shedding light on how marketing efforts correlate with profitability in emerging economies. We employ an econometric model to tackle biases and endogeneity problems commonly found in non-experimental

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Asafu-Adjaye, John, Edwin Kuh, John W. Neese, and Peter Hollinger. "Structural Sensitivity in Econometric Models." Journal of the Operational Research Society 37, no. 4 (1986): 440. http://dx.doi.org/10.2307/2582577.

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Asafu-Adjaye, John. "Structural Sensitivity in Econometric Models." Journal of the Operational Research Society 37, no. 4 (1986): 440. http://dx.doi.org/10.1057/jors.1986.77.

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Mizrach, Bruce. "Target zone models with stochastic realignments: an econometric evaluation." Journal of International Money and Finance 14, no. 5 (1995): 641–57. http://dx.doi.org/10.1016/0261-5606(95)00027-c.

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Chintagunta, Pradeep, Philip Hans Franses, and Richard Paap. "Introduction to the special issue on new econometric models in marketing." Journal of Applied Econometrics 24, no. 3 (2009): 375–76. http://dx.doi.org/10.1002/jae.1055.

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Katchova, Ani L., and Mario J. Miranda. "Two‐Step Econometric Estimation of Farm Characteristics Affecting Marketing Contract Decisions." American Journal of Agricultural Economics 86, no. 1 (2004): 88–102. https://doi.org/10.1111/j.1467-8276.2004.tb18458.x.

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We examine how farm characteristics affect marketing contract decisions. We relax the restrictive assumptions of Tobit, Poisson, and multinomial logit models and consider the quantity, frequency, and contract type decisions conditional on, rather than jointly with, the contract adoption decision. In contrast to earlier studies on marketing contract decisions, we estimate a two‐step econometric model using Agricultural Resource Management Study data and find that farm characteristics affecting decisions to adopt marketing contracts differ from those affecting decisions regarding quantity, frequ

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Prišenk, Jernej, and Jernej Turk. "Assessment of Concept between Rural Development Challenges and Local Food Systems: A Combination between Multi-Criteria Decision Analysis and Econometric Modelling Approach." Sustainability 14, no. 6 (2022): 3477. http://dx.doi.org/10.3390/su14063477.

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This study investigates the influence of social, economic, and environmental impacts on the promotion and marketing systems of local food products from mountain areas in Slovenia. These impacts were assessed using an econometric modelling approach. Two econometric models were developed (one for production and one for marketing). The case studies of local food products were selected from Slovenian mountain regions, most of which were from less-favored areas (LFAs). A majority of the selected food commodities were of high quality, with or without protected designations. Data collection was carri

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Wittink, Dick R., Dominique M. Hanssens, Leonard J. Parsons, and Randall L. Schultz. "Market Response Models: Econometric and Time Series Analysis." Journal of Marketing Research 28, no. 2 (1991): 246. http://dx.doi.org/10.2307/3172814.

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Simionescu, Mihaela. "Quarterly inflation rate target and forecasts in Romania." Economics, Management and Sustainability 1, no. 1 (2016): 6–13. https://doi.org/10.14254/jems.2016.1-1.1.

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In this study, we proposed some inflation rate predictions based on econometric models that performed better than the targets of the National Bank of Romania. Few econometric models (multiple regressions model and a vector-autoregression) were used to predict the quarterly inflation rate in Romania during 2000:Q1-2016:Q4. The GDP growth has a negative impact on inflation rate in Romania, an increase in logarithm of GDP with one percentage point determining a decrease in inflation logarithm with less than 0.1 units according to both proposed models. However, an increase in inflation rate in the

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N, Ajjan, Murugananthi D, and Raveendaran N. "An Econometric Analysis of Maize and Poultry Market Integration in India." Madras Agricultural Journal 99, JUNE (2012): 397–402. http://dx.doi.org/10.29321/maj.10.100097.

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Maize is an important staple food in many countries and its acreage is on the increase continuously at global level. In India maize is mainly used to manufacture poultry feed. Higher marketing efficiency in maize markets would technically imply that all the major markets are integrated and also the changes in the prices of final products, viz., egg and chicken closely reflect the prices of major inputs raw material viz., maize. The price linkages between maize and poultry products are studied through co-integration and Vector Error Correction Model approach. Price transmission is observed acro

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Chi, Qianmo. "Comparing the New Media Marketing Models with the Traditional Marketing Models." Advances in Economics, Management and Political Sciences 97, no. 1 (2024): 8–13. http://dx.doi.org/10.54254/2754-1169/97/20231566.

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Marketing has always been one of the most important keys to business success. With the development of society, market competition is becoming more and fiercer, and enterprises have deeper requirements for marketing. The traditional marketing model has been unable to satisfied all the demands of enterprises. The rapid development of new media in recent years has also given birth to a series of new marketing models. This paper mainly analyzes and compares two marketing models, the traditional marketing model and the new marketing model, and draws a conclusion that the new marketing model is more

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Thomas, Arthur M., and Neil Canter. "Financial Benefits of Florida Generic Orange Juice Marketing." Agricultural and Resource Economics Review 38, no. 3 (2009): 431–44. http://dx.doi.org/10.1017/s1068280500009679.

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The benefits to Florida orange growers of generic orange juice advertising are assessed using additive, nonlinear, regional econometric models, measuring the impact of category and brand marketing efforts on category demand while controlling for pricing and various other factors. The study shows that generic marketing efforts increased orange juice category demand by 8.3 percent, resulting in increased orange prices and a benefit-to-cost ratio to Florida growers of 3.5 to 1. Branded promotional activity was found to primarily fuel brand switching and pantry-loading, with only modest impacts on

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G.P., Ranjitha, Rai Siddhant Sinha, Augustin Paul, and R. Sai Shiva Jayanth. "How does pandemic force social enterprises to evolve? – A case study of ThankUFoods." Emerald Emerging Markets Case Studies 12, no. 3 (2022): 1–21. http://dx.doi.org/10.1108/eemcs-08-2021-0244.

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Learning outcomes After completion of this case, students would be able to understand the challenges faced by social entrepreneurship in a time of pandemic, as well as gain a perspective of the background, history, evolution and the setup of such organizations; appreciate the role of marketing methods in tackling the challenges faced and how the management of such enterprises could use them on the ground; evaluate possible future options/pathways that could be taken in the backdrop of a pandemic and, more importantly, in a developing country context; and apply the elements of social entreprene

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Baltas, George. "Econometric Models for Discrete Choice Analysis of Travel and Tourism Demand." Journal of Travel & Tourism Marketing 21, no. 4 (2007): 25–40. http://dx.doi.org/10.1300/j073v21n04_04.

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Andrews, Rick L. "Book Review: Market Response Models: Econometric and Time Series Analysis." Journal of Marketing Research 39, no. 3 (2002): 387–88. http://dx.doi.org/10.1509/jmkr.39.3.387.19107.

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Donkers, Bas, Philip Hans Franses, and Peter C. Verhoef. "Selective Sampling for Binary Choice Models." Journal of Marketing Research 40, no. 4 (2003): 492–97. http://dx.doi.org/10.1509/jmkr.40.4.492.19395.

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Marketing problems sometimes pertain to the analysis of dichotomous dependent variables, such as “buy” and “not buy” or “respond” and “not respond.” One outcome can strongly outnumber the other, such as when many households do not respond (e.g., to a direct mailing). In such situations, an efficient data-collection strategy is to sample disproportionately more from the smaller group. However, subsequent statistical analysis must account for this sampling strategy. In this article, the authors put forward the econometric method that can correct for the sample selection bias, when this method do

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Habis Alrawashedh, Nahed, and Mohammad Fawzi Shubita. "Impact of digital transformation on the organization’s financial performance: A case of Jordanian commercial banks listed on the Amman Stock Exchange." Banks and Bank Systems 19, no. 1 (2024): 126–34. http://dx.doi.org/10.21511/bbs.19(1).2024.11.

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Digital transformation refers to strategic activities undertaken by organizations to improve and simplify their process and even alter their business models with abreast to enhance firm performance. Thus, the aim of this study was to analyze the impact of digital transformation on organizational performance among the Jordanian commercial banks listed on the Amman Stock Exchange. The descriptive research design was used in this quantitative study. Primary data were collected to achieve the objectives of the study. The target population was employees (managers and non-managers) of Jordanian comm

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Wu, Jiayu. "Machine Learning Algorithms in Target Marketing Analysis." Highlights in Science, Engineering and Technology 92 (April 10, 2024): 158–64. http://dx.doi.org/10.54097/v8zrvc27.

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Target marketing places a crucial rule in nowadays business. It allows companies to recommend the right products to the right clients. Companies with existing clients’ data are able to gain customer insights with machine learning algorithms to better target the potential clients during a marketing campaign. This study is written to employ machine learning algorithms to predict the success of a target marketing campaign. The existing data of clients from “Trips & Travel.com” company is used to forecast who will purchase a newly introduced travel package with 10 supervised classification alg

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Fildes, Robert. "Quantitative Forecasting-The State of the Art: Econometric Models." Journal of the Operational Research Society 36, no. 7 (1985): 549. http://dx.doi.org/10.2307/2582473.

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Fildes, Robert. "Quantitative Forecasting—the State of the Art: Econometric Models." Journal of the Operational Research Society 36, no. 7 (1985): 549–80. http://dx.doi.org/10.1057/jors.1985.99.

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Amoussou, Amour Gbaguidi, and Aristide Medenou. "Application of ARIMA models on Export potential Indicator." African Journal of Applied Statistics 8, no. 2 (2021): 1165–80. http://dx.doi.org/10.16929/ajas/2021.1165.263.

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The export potential indicator is designed for countries that aim to support established exports by increasing exports to new or existing target markets, and several studies are being managed using various mathematical model to predict the export values. Here, we propose an econometric model that could be useful to predict the export values. We performed the ARIMA model to evaluate the realized and unrealized export potentials of products. We therefore propose to carry out actions in favor of increasing the export potential.

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Raya, Josep Maria. "Evaluating Different Housing Prices: Marketing and Financial Distortions." International Real Estate Review 24, no. 4 (2021): 549–76. http://dx.doi.org/10.53383/100330.

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The aim of this paper is to evaluate the importance of housing price. We compare the evolution of three different types of housing prices (list, sale and appraisal prices). The objective is to see the marketing and financial consequences of using each type of housing price. To do this, a dataset of a real estate company and its financial intermediary with all of these types of housing prices is used. We estimate econometric models in which the dependent variables are: price (appraisal, selling or list), mark-up, loan to value and foreclosures. The results show evidence of the consequences of u

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Bapna, S. L. "Using Crop Outlook Information for Timely Marketing Decisions in Government." Vikalpa: The Journal for Decision Makers 11, no. 2 (1986): 131–40. http://dx.doi.org/10.1177/0256090919860205.

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Reliable and timely information on crop prospects is not available in India. As a consequence, market planning of procurement, storage and distribution operations, and pricing of foodgrains and other crops is usually based on subjective judgements of the government officials about the crofj prospects; therefore decisions are ad hoc and sub-optimal. This paper outlines an approach which uses econometric models. It is shown that reliable and timely crop outlook information can be obtained much before harvest at a low cost. It is illustrated how use of such information by the agricultural institu

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Nakazi, Florence, Immaculate Babirye, Eliud Birachi, and Michael Adrogu Ugen. "Exploring retailer marketing strategies for value added bean products in Kenya." International Food and Agribusiness Management Review 22, no. 5 (2019): 675–87. http://dx.doi.org/10.22434/ifamr2018.0073.

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Unlike many other Sub-Saharan African countries, for many years Kenya had comparative advantages in the manufacturing of processed bean products. However, for new competitors intending to join the bean processing industry, little is known about marketing strategies for value added bean products. Using data from 90 retailers in the Nairobi and Kiambu counties in Kenya, a two-step econometric procedure-multivariate probit and Poisson regression models were applied to analyse retailers’ marketing strategy decisions. Findings show that information sources, cost of marketing, supply modalities, pri

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Lautman, Martin R., and Koen Pauwels. "Identifying Metrics That Matter: What Are the Real Key Performance Indicators (KPIs) That Drive Consumer Behavior?" GfK Marketing Intelligence Review 5, no. 2 (2013): 46–52. http://dx.doi.org/10.2478/gfkmir-2014-0017.

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Abstract Vector auto regression (VAR) is a form of econometric modeling that is receiving increased attention in marketing research applications. It is used to observe whether potentially relevant indicators have a real impact on sales or success factors. Compared with correlation, regression and conjoint techniques, VAR models are superior because they are able to show the impact of changes over time on the basis of real business data. The research shows how VAR models are applied in different marketing settings. VAR models can filter relevant metrics from a whole set of potentially relevant

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Jia, Fang, and Boli Yang. "Forecasting Volatility of Stock Index: Deep Learning Model with Likelihood-Based Loss Function." Complexity 2021 (February 25, 2021): 1–13. http://dx.doi.org/10.1155/2021/5511802.

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Volatility is widely used in different financial areas, and forecasting the volatility of financial assets can be valuable. In this paper, we use deep neural network (DNN) and long short-term memory (LSTM) model to forecast the volatility of stock index. Most related research studies use distance loss function to train the machine learning models, and they gain two disadvantages. The first one is that they introduce errors when using estimated volatility to be the forecasting target, and the second one is that their models cannot be compared to econometric models fairly. To solve these two pro

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Koosha, Hamidreza, and Amir Albadvi. "Allocation of marketing budgets to customer acquisition and retention spending based on decision calculus." Journal of Modelling in Management 10, no. 2 (2015): 179–97. http://dx.doi.org/10.1108/jm2-02-2013-0006.

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Purpose – The purpose of this paper is to allocate marketing budgets in complex environments, where data are scarce and management judgment is available. In this research, marketing budgets are allocated, to maximize customer equity as a long-term profitability measure. Design/methodology/approach – The researchers provide a model for allocation of marketing budgets based on both decision calculus and econometric models and combine it with the concept of Markov chain model to cope with data scarcity. Dynamic programming is used to find the optimal solution. Findings – The authors examine the m

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BOJNEC, S., and G. PETER. "Vertical market integration and competition : the meat sector in Slovenia." Agricultural and Food Science 14, no. 3 (2008): 236. http://dx.doi.org/10.2137/145960605775013182.

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This paper presents price transmission models explaining the farm-to-retail price spread and degree of competition in the meat marketing chains during the period of economic transition in Slovenia. The meat marketing chains in Slovenia are characterised by relatively large processing and marketing margins, which are expected to decline with market deregulation and integration into the international markets. As results of the economic restructuring and policy reforms, competitive market pressures in a marketing margin determination have increased, inducing pressures for efficiency improvements

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Chandrashekaran, Murali, Beth A. Walker, James C. Ward, and Peter H. Reingen. "Modeling Individual Preference Evolution and Choice in a Dynamic Group Setting." Journal of Marketing Research 33, no. 2 (1996): 211–23. http://dx.doi.org/10.1177/002224379603300208.

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Organizational buying and strategic marketing decisions often emerge from a messy process of belief accommodation and compromise. In a longitudinal field study, the authors investigate how the beliefs and preferences of individual actors in a collective decision developed and changed. This provides a rare opportunity to relate beliefs and social influence to articulated preferences, as well as to evaluate the basic assumptions that underlie persuasive arguments theory, a prominent theory of group polarization. Econometric models are employed to test proposed relationships between group process

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Müller, Sven, and Knut Haase. "Local revenue response to service quality: spatial effects in seasonal ticket revenue data." European Journal of Marketing 49, no. 9/10 (2015): 1391–416. http://dx.doi.org/10.1108/ejm-10-2013-0531.

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Purpose – This paper aims to consider spatial effects in the analysis of the relationship of revenue and service quality. When firms’ customers are located in spatially dispersed areas, it can be difficult to manage service quality on a geographically small scale because the relative importance of service quality might vary spatially. Moreover, standard approaches discussed so far in the marketing science literature usually neglect spatial effects, such as spatial dependencies (e.g. spatial autocorrelation) and spatial drift (spatial non-stationarity). Design/methodology/approach – The authors

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Qiao, Shichao. "New Marketing Models in the Context of Digital Marketing." International Journal of Management Science Research 8, no. 1 (2025): 30–36. https://doi.org/10.53469/ijomsr.2025.08(01).05.

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Traditional marketing models have core problems such as insufficient customer insights and poor marketing efficiency. In the face of these challenges, this paper widely collects user behavior data from multiple channels such as social media, search engines, and e-commerce platforms, and conducts detailed cleaning and organization. On this basis, the Apriori algorithm is used to mine user data and build detailed user portraits. Based on the constructed user portraits, accurate advertising positioning and delivery are achieved. By matching user portraits with advertising content, ads can be accu

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Staudt, Yves, and Joël Wagner. "What policyholder and contract features determine the evolution of non-life insurance customer relationships?" International Journal of Bank Marketing 36, no. 6 (2018): 1098–124. http://dx.doi.org/10.1108/ijbm-11-2016-0175.

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Purpose Over the last decade, technological and social trends have significantly influenced the relationship between customers and insurers. New buying patterns, price comparison platforms and the usage of different interaction channels driving single-product purchases and impacting lapses have influenced insurers’ customer portfolios and development. The purpose of this paper is to study the features driving the customer relationship along three areas, namely, customer acquisition, development and retention. Design/methodology/approach After defining 14 related hypotheses, the authors use eco

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Özsomer, Ayşegül, and Gregory E. Prussia. "Competing Perspectives in International Marketing Strategy: Contingency and Process Models." Journal of International Marketing 8, no. 1 (2000): 27–50. http://dx.doi.org/10.1509/jimk.8.1.27.19561.

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Empirical studies investigating the relationship between marketing standardization and performance have generated mixed results. This study investigates the causal ordering between marketing strategy and marketing structure as determinants of subsidiary performance. The authors propose a multiple contingencies approach that tests both the contingency (e.g., Chandler 1962 ) and the process (e.g., Bower 1970 ) frameworks in the subsidiary context. Findings based on a two-phase longitudinal study provide initial support for the framework that suggests that marketing structure follows marketing st

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Thomas, Jacquelyn S. "Econometric Analysis of Customer Retention in an Aviation Trade Organization." Transportation Research Record: Journal of the Transportation Research Board 1567, no. 1 (1997): 33–40. http://dx.doi.org/10.3141/1567-05.

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The proliferation of customer data bases is a direct consequence of firms’ drive toward efficient customer-firm interactions. With regard to customer-firm interactions, firms have focused on customer retention rates. Using a customer data base, firms try to identify the most valuable customers within that data base. After identifying these customers, firms attempt to develop strategies and tactics that increase the retention of the most valued customers and maximize the profitability of the entire base of customers. With this goal in mind, common firm practices that have arisen are the offerin

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SEKERIN, Vladimir D., and Lyudmila E. GORLEVSKAYA. "Development of marketing communications in the context of process algorithmization." Economic Analysis: Theory and Practice 24, no. 4 (2025): 4–16. https://doi.org/10.24891/ea.24.4.4.

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Subject. Algorithmization of processes has an impact on consumer patterns and requires rethinking current approaches to marketing communications. The article discloses the specifics of the evolution of the marketing communications process. Objectives. The aim is to develop and describe communication marketing models relevant to the modern marketing environment. Methods. The study draws on methods of information analysis and synthesis, graphical and tabular methods. Results. We analyzed marketing communication models and trends in the marketing environment development. The paper describes the e

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