Subjects -> BUSINESS AND ECONOMICS (Total: 3570 journals)
    - ACCOUNTING (132 journals)
    - BANKING AND FINANCE (306 journals)
    - BUSINESS AND ECONOMICS (1248 journals)
    - CONSUMER EDUCATION AND PROTECTION (20 journals)
    - COOPERATIVES (4 journals)
    - ECONOMIC SCIENCES: GENERAL (212 journals)
    - ECONOMIC SYSTEMS, THEORIES AND HISTORY (235 journals)
    - FASHION AND CONSUMER TRENDS (20 journals)
    - HUMAN RESOURCES (103 journals)
    - INSURANCE (26 journals)
    - INTERNATIONAL COMMERCE (145 journals)
    - INTERNATIONAL DEVELOPMENT AND AID (103 journals)
    - INVESTMENTS (22 journals)
    - LABOR AND INDUSTRIAL RELATIONS (61 journals)
    - MACROECONOMICS (17 journals)
    - MANAGEMENT (595 journals)
    - MARKETING AND PURCHASING (116 journals)
    - MICROECONOMICS (23 journals)
    - PRODUCTION OF GOODS AND SERVICES (143 journals)
    - PUBLIC FINANCE, TAXATION (37 journals)
    - TRADE AND INDUSTRIAL DIRECTORIES (2 journals)

MARKETING AND PURCHASING (116 journals)                     

Showing 1 - 105 of 105 Journals sorted alphabetically
Advances in International Marketing     Full-text available via subscription   (Followers: 6)
AMS Review     Partially Free   (Followers: 3)
Applied Marketing Analytics     Full-text available via subscription   (Followers: 4)
Arts and the Market     Hybrid Journal   (Followers: 5)
Asia Pacific Public Relations Journal     Open Access   (Followers: 1)
Atlantic Marketing Journal     Open Access   (Followers: 3)
Australasian Marketing Journal (AMJ)     Hybrid Journal   (Followers: 4)
CBR - Consumer Behavior Review     Open Access  
Cogent Business & Management     Open Access   (Followers: 2)
Consumer Psychology Review     Hybrid Journal   (Followers: 3)
Customer Needs and Solutions     Hybrid Journal   (Followers: 4)
European Journal of Management Issues     Open Access   (Followers: 1)
Expert Journal of Marketing     Open Access   (Followers: 4)
IMP Journal     Hybrid Journal  
Innovative Marketing     Open Access   (Followers: 4)
International Journal of Applied Behavioral Economics     Full-text available via subscription   (Followers: 18)
International Journal of Customer Relationship Marketing and Management     Full-text available via subscription   (Followers: 11)
International Journal of Event and Festival Management     Hybrid Journal   (Followers: 6)
International Journal of Export Marketing     Hybrid Journal   (Followers: 1)
International Journal of Industrial Marketing     Open Access   (Followers: 7)
International Journal of Internet Marketing and Advertising     Hybrid Journal   (Followers: 20)
International Journal of Islamic Marketing and Branding     Hybrid Journal   (Followers: 5)
International Journal of Leisure and Tourism Marketing     Hybrid Journal   (Followers: 15)
International Journal of Marketing Studies     Open Access   (Followers: 12)
International Journal of Online Marketing     Full-text available via subscription   (Followers: 5)
International Journal of Sport Communication     Hybrid Journal   (Followers: 6)
International Journal of Sports Marketing and Sponsorship     Hybrid Journal  
International Review of Communication and Marketing Mix : IROCAMM     Open Access   (Followers: 1)
International Review of Management and Marketing     Open Access   (Followers: 12)
Italian Journal of Marketing     Hybrid Journal  
Journal of Advertising Education     Hybrid Journal  
Journal of Brand Management     Hybrid Journal   (Followers: 12)
Journal of Brand Strategy     Full-text available via subscription   (Followers: 4)
Journal of Business Logistics     Hybrid Journal   (Followers: 8)
Journal of Business-to-Business Marketing     Hybrid Journal   (Followers: 13)
Journal of Contemporary Marketing Science     Hybrid Journal   (Followers: 1)
Journal of Credit Risk     Full-text available via subscription   (Followers: 1)
Journal of Cultural Marketing Strategy     Full-text available via subscription   (Followers: 1)
Journal of Destination Marketing & Management     Hybrid Journal  
Journal of Digital & Social Media Marketing     Full-text available via subscription   (Followers: 16)
Journal of Economics and Management Sciences     Open Access  
Journal of Education Advancement & Marketing     Full-text available via subscription   (Followers: 1)
Journal of Euromarketing     Hybrid Journal   (Followers: 3)
Journal of Fashion Marketing and Management     Hybrid Journal   (Followers: 9)
Journal of Global Fashion Marketing     Hybrid Journal   (Followers: 2)
Journal of Global Responsibility     Hybrid Journal   (Followers: 3)
Journal of Global Scholars of Marketing Science : Bridging Asia and the World     Hybrid Journal   (Followers: 1)
Journal of Historical Research in Marketing     Hybrid Journal   (Followers: 4)
Journal of Hospitality Marketing & Management     Hybrid Journal   (Followers: 8)
Journal of International Marketing Modeling     Open Access   (Followers: 1)
Journal of Islamic Marketing     Hybrid Journal   (Followers: 4)
Journal of Marketing Analytics     Hybrid Journal   (Followers: 5)
Journal of Marketing and Consumer Research     Open Access   (Followers: 6)
Journal of Marketing and HR     Open Access   (Followers: 2)
Journal of Marketing Behavior     Full-text available via subscription   (Followers: 9)
Journal of Marketing Channels     Hybrid Journal   (Followers: 5)
Journal of Marketing for Higher Education     Hybrid Journal   (Followers: 10)
Journal of Marketing Management     Hybrid Journal   (Followers: 21)
Journal of Medical Marketing     Hybrid Journal   (Followers: 12)
Journal of Personal Selling and Sales Management     Hybrid Journal   (Followers: 9)
Journal of Place Management and Development     Hybrid Journal   (Followers: 1)
Journal of Research in Interactive Marketing     Hybrid Journal   (Followers: 6)
Journal of Research in Marketing and Entrepreneurship     Hybrid Journal   (Followers: 10)
Journal of Revenue and Pricing Management     Hybrid Journal   (Followers: 4)
Journal of Social Marketing     Hybrid Journal   (Followers: 7)
Journal of the Association for Consumer Research     Full-text available via subscription   (Followers: 7)
Journal of Theoretical and Applied Electronic Commerce Research     Open Access  
Jurnal Ekonomi Manajemen     Open Access  
Jurnal Manajemen dan Pemasaran Jasa     Open Access  
Jurnal Manajemen Dayasaing     Open Access  
Jurnal Manajemen Teori dan Terapan | Journal of Theory and Applied Management     Open Access  
Luxury : History, Culture, Consumption     Full-text available via subscription   (Followers: 2)
Luxury Research Journal     Hybrid Journal   (Followers: 2)
Management & Marketing     Open Access   (Followers: 2)
Management of Organizations: Systematic Research     Open Access  
Management Sciences. Nauki o Zarz?dzaniu     Open Access  
Marco : Márketing y Comunicación Política     Full-text available via subscription  
Marketing & Tourism Review     Open Access   (Followers: 1)
Marketing Education Review     Full-text available via subscription   (Followers: 6)
Marketing Theory     Hybrid Journal   (Followers: 15)
Matrik : Jurnal Manajemen, Strategi Bisnis dan Kewirausahaan     Open Access  
Mercati & Competitività     Full-text available via subscription  
NIM Marketing Intelligence Review     Free   (Followers: 1)
Nonprofit Communications Report     Hybrid Journal   (Followers: 3)
Organicom     Open Access  
Pacific Rim Property Research Journal     Hybrid Journal  
Pensar la Publicidad. Revista Internacional de Investigaciones Publicitarias     Open Access  
Poliantea     Open Access  
Propel Journal of Applied Management     Open Access   (Followers: 3)
Public Opinion Quarterly     Hybrid Journal   (Followers: 22)
Public Relations Inquiry     Hybrid Journal   (Followers: 5)
Publicitas : Comunicación y Cultura     Open Access  
Questiones Publicitarias     Open Access  
Recherche et Applications en Marketing     Hybrid Journal   (Followers: 1)
Recherche et Applications en Marketing (English Edition)     Hybrid Journal   (Followers: 1)
Research in Electronic Commerce Frontiers     Open Access   (Followers: 1)
Research World     Hybrid Journal  
Review of Market Integration     Hybrid Journal   (Followers: 2)
Review of Marketing Research     Hybrid Journal   (Followers: 13)
Revista Eletrônica Academicus     Open Access  
Social Marketing Quarterly     Hybrid Journal   (Followers: 6)
South Asian Journal of Marketing     Open Access   (Followers: 2)
Spanish Journal of Marketing - ESIC     Open Access  
Studia Universitatis Babes-Bolyai Oeconomica     Open Access   (Followers: 2)
Universal Journal of Industrial and Business Management     Open Access  

           

Similar Journals
Journal Cover
Journal of Revenue and Pricing Management
Journal Prestige (SJR): 0.416
Number of Followers: 4  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1476-6930 - ISSN (Online) 1477-657X
Published by Springer-Verlag Homepage  [2469 journals]
  • Ukraine, price and inflation

    • Free pre-print version: Loading...

      PubDate: 2022-05-13
       
  • Correction to: Two-stage simulation–optimization profit maximization
           model

    • Free pre-print version: Loading...

      Abstract: The text currently reads “Use Standard GRG Nonlinear Engine” in sections “Stage 1 model” and “Stage 2 model,” but it should read “Use Standard Evolutionary Engine” in both places.
      PubDate: 2022-04-01
       
  • Two-stage simulation–optimization profit maximization model

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      Abstract: Abstract Companies are interested in maximizing profit, which happens at the individual product level. We introduce a two-stage model which uses both simulation and optimization to maximize the profit of an individual product. We utilize the concept of consumer margin, benefits minus price, as a way for consumers to determine which product within a competitive set to purchase (if any). The purpose of the stage 1 model is to find the consumer margins and standard deviation that will give the most accurate model. Next, the consumer margins and standard deviation are used in the stage 2 model to find the price that will maximize the profit of a given product. The model is illustrated through a case study involving the top 10 selling sedans in the United States in 2019. In short, this paper will help companies to maximize the profit of a given product through using this two-stage simulation–optimization model to find the optimal price for the product.
      PubDate: 2022-04-01
       
  • Clustering as an approach for creating data-driven perspectives on air
           travel itineraries

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      Abstract: Abstract This paper proposes to create data-driven perspectives on airline ticketing data by defining groups of air travel itineraries independently of geographical or temporal attributes. We demonstrate the approach by analysing an extensive empirical data set featuring ticketing data from several carriers as collected by the Airlines Reporting Corporation. The analysis compares five cluster quality indicators to evaluate effects of pre-processing and clustering decisions. Benchmarking the results against a more traditional geographical grouping demonstrates the potential for data-driven analysis. Finally, we highlight ways in which the resulting cluster perspectives could support demand forecasting, performance evaluation, and analyst interventions.
      PubDate: 2022-04-01
       
  • A customer type discovery algorithm in hotel revenue management systems

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      Abstract: Abstract Knowing customer types and their purchase behavior helps revenue management experts to estimate the demand and finally devise a better sales strategy to improve the revenue. Inferring customer types from sales transactions and availability data is a challenging topic in RM. In this paper, we proposed an approach to discover customer types using a classic linear ordering problem. Our linear ordering-based market discovery approach (LMD) comprises three steps: generation of an initial solution, evaluation of the solution by a choice-based model, and finally creation and addition of a new customer type. The number of different customer types is factorial in the number of alternatives and should be pruned. Here, the customer types are pruned based on observed sales and offered-sets, instead of business assumptions or applications. To evaluate the proposed method, a real publicly available dataset of five hotels is used. The results show that LMD outperforms the other available approaches in the literature and improves the log-value results of all datasets by approximately 6%.
      PubDate: 2022-04-01
       
  • Personalization in airline revenue management: an overview and future
           outlook

    • Free pre-print version: Loading...

      Abstract: Abstract Airline revenue management (RM) concentrates on the optimization of the booking process to accept a reservation with three key decision-making pillar: the right conditions, the right time, and the right fare for a future flight. Historically, academics have developed overbooking, single-leg seat inventory, and origin–destination control as well as forecasting and dynamic pricing models intending to maximize airline revenues. Airlines have applied reservation limits to their seat inventories and tried to determine the number of seats for each fare class to increase their revenue gains. However, limitations on technology (e.g., distribution systems and access to passenger information) prevented airlines to generate customized offers to customers. Recent advances in technology, such as the International Air Transport Association’s New Distribution Capability and data-driven technology trends present a strong potential for consumers to encounter specialized offers in the booking process. Therefore, this study aims to provide a survey for personalization in the airline RM. In operations research, personalization in airline RM has been studied in recent years with a growing emphasis on dynamic pricing models, and it is relatively a new area of research. For this reason, this study will cover a brief introduction to airline RM and conduct a systematic review of existing research for personalization. It will also suggest several possible directions for the future outlook.
      PubDate: 2022-04-01
       
  • Dynamic pricing for information goods using revenue management and
           recommender systems

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      Abstract: Abstract With the advent of the Internet and creation of information goods, the concept of price and pricing information goods has become one of the most interesting and innovative topics in information technology management and economics. In the cost structure of information goods, its reproduction cost is negligible compared to original version. Therefore, policies must be adopted to prorate the prime cost of the original version according to the demand for all reproduced copies. It means that based on the cost structure, market and the characteristics of information goods, the usual methods for pricing information products are not efficient and traditional pricing (cost plus profit), which is common way for most consumer and industrial goods, is not useful. In this paper, a model is proposed for dynamic pricing of information goods that adapts revenue management systems to create more profit for sellers and uses recommender systems to personalize prices which leads to customer welfare along with increasing profit. Economic analysis of the model by movie store datasets illustrates its desirable performance for increasing seller’s profit and customer’s welfare.
      PubDate: 2022-04-01
       
  • A deep reinforcement learning approach to seat inventory control for
           airline revenue management

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      Abstract: Abstract Commercial airlines use revenue management systems to maximize their revenue by making real-time decisions on the booking limits of different fare classes offered in each of its scheduled flights. Traditional approaches—such as mathematical programming, dynamic programming, and heuristic rule-based decision models—heavily rely on external mathematical models of demand and passenger arrival, choice, and cancelation, making their performance sensitive to the accuracy of these model estimates. Moreover, many of these approaches scale poorly with increase in problem dimensionality. Additionally, they lack the ability to explore and “directly” learn the true market dynamics from interactions with passengers and adapt to changes in market conditions on their own. To overcome these limitations, this research uses deep reinforcement learning (DRL), a model-free decision-making framework, for finding the optimal policy of the seat inventory control problem. The DRL framework employs a deep neural network to approximate the expected optimal revenues for all possible state-action combinations, allowing it to handle the large state space of the problem. Multiple fare classes with stochastic demand, passenger arrivals, and booking cancelations have been considered in the problem. An air travel market simulator was developed based on the market dynamics and passenger behavior for training and testing the agent. The results demonstrate that the DRL agent is capable of learning the optimal airline revenue management policy through interactions with the market, matching the performance of exact dynamic programming methods. The revenue generated by the agent in different simulated market scenarios was found to be close to the maximum possible flight revenues and surpass that produced by the expected marginal seat revenue-b (EMSRb) method.
      PubDate: 2022-04-01
       
  • Revenue management in manufacturing: systematic review of literature

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      Abstract: Abstract Revenue management (RM) is selling the right product, at the right price, at the right time, to the right customer. While this technique is originally a tool of service operations, it shows the potential for application in manufacturing. To provide a comprehensive understanding of research in this field, this study adopted a systematic process of reviewing the literature. The classification of the articles into core activities of RM in manufacturing serves as a useful guide for practitioners and academics to trace aspects of this concept and to notice the gaps in the existing literature as well as directions for future research.
      PubDate: 2022-04-01
       
  • Sales strategies considering consumer purchasing preferences for imperfect
           complementary products

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      Abstract: Abstract Sales strategies have a great impact on changes in supply and demand and a suitable sales strategy can reduce marketing costs and increase consumer purchasing preferences. Concerning the sales problems of imperfect complementary products in the two-stage supply chain consisting of two manufacturers and one retailer, by introducing the concept of complementarity elasticity, we measure the degree of complementarity and analyze the relationship between product complementarity and consumer purchasing preference, and we construct a supply chain coordination mechanism.
      PubDate: 2022-04-01
       
  • A bibliometric analysis of pricing models in supply chain

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      Abstract: Abstract Supply Chain and distribution management has gained prominence in a global economy. The pricing decisions are widely seen at the heart of a supply chain with an augmented growth of interest. This paper presents a systematic literature review of pricing models in supply chain focusing on quantitative models. Using contemporary bibliometric analysis tools, we have systematically analyzed over 639 peer-reviewed articles from leading journals. An exploratory analysis of the articles is presented to uncover the fundamental features such as: influential authors, productive countries, publication growth, yearly publication growth, among others. A visualization of these articles is performed using a network analysis. Two co-citation network analyses are performed to reveal the clusters (topics) based on modularity and centrality performance measures. Later, this analysis is supported with the dynamic co-citation analysis to elaborate the evolution of the research clusters over time. A keyword co-occurrence network is also presented to determine the emerging trends. A cluster-based content analysis is conducted on to find out the significance of the current themes and emerging trends along with the influential groups. Findings from the proposed systematic analysis aid illustrating how research has evolved over time and point to the potential future themes.
      PubDate: 2022-04-01
       
  • Ben Vinod (2020) Evolution of Yield Management in the Airline Industry.
           Switzerland: Springer

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      PubDate: 2022-03-24
       
  • Personalised Pricing

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      PubDate: 2022-03-14
       
  • On the selection of relevant historical demand data for revenue management
           applied to transportation

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      Abstract: Abstract The success of revenue management models depends to a large extent on the quality of historical data used to forecast future bookings. Several theoretical models and best practices of handing historical data have been developed over the years, that all rely on assumptions about underlying distribution and seasonality in the historical data. In this paper, we describe a novel method that compares the fingerprints of the departure to optimise and selects historical departures without making assumptions on data distribution or seasonality. By evaluating the method at the departure level and using the Nemenyi rank test, we show the method’s application in the ferry transportation business and discuss its advantages.
      PubDate: 2022-03-07
       
  • Decoding price promotions: a moderated mediation model of fairness, trust,
           and deal proneness

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      Abstract: Abstract Store pricing policy helps consumers to form perceptions about the products as well as the store. We study two commonly used pricing policies, EDLP and HiLo from the customers’ point of view. We break down these policies based the amount of variability and the degree of predictability. Consumers form perceptions of price fairness and store trust based on these pricing policies and consequently decide their purchase intentions. We observe that price fairness perceptions mediate between variability of pricing and purchase intention. Different pricing policies are likely to attract different types of consumers. Some customers are likely to be driven by deals and discounts while others are not. We show that trust mediates between variability and predictability of pricing and purchase intention only for customers who are low on deal proneness. Our study contributes to the literature of pricing policy by viewing promotion policy from the perspective of its elements—variability and predictability.
      PubDate: 2022-03-03
       
  • A network price elasticity of demand model with product substitution

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      Abstract: Abstract A new price model that characterizes the transfer of demands between products through the concept of product networks is proposed. Via replacing the basic unit: pairs of products, to be used when considering the relationships between demands and prices of different products, with networks, the proposed model requires less observations to calibrate. Therefore, considering all the substitute products in the proposed model in analyzing price elasticity is possible. The feasibility of the proposed approach is demonstrated in its application to data from two North American grocery stores.
      PubDate: 2022-02-27
      DOI: 10.1057/s41272-022-00375-w
       
  • Strategic pricing decision using the analytic hierarchy process

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      Abstract: Abstract Among all the elements of the marketing mix, price is the only element that brings revenues to a firm. Pricing-related research is broadly carried out in two different disciplines, namely economics and marketing. The research in economics domain is primarily theoretical. The research in marketing is multi-disciplinary and uses principles of game theory, behavioral decision theory, psychology, and social dimensions to address various pricing-related managerial decision problems. Scholars have proposed multiple theories explaining the pricing-related decision-making processes of firms. However, most of the work is descriptive in nature and does not give adequate directions to operationalize the decisions related to pricing strategy. This paper is normative in nature and provides useful insides to practitioners on how pricing strategy decisions can be made. This paper proposes a decision hierarchy that can be used to operationalize decisions related to the pricing strategy of a firm. Since the inherent components of the problem structure closely resemble the axiomatic requirements of the Analytic Hierarchy Process (AHP) which is a popular multi-criteria decision-making method, this paper also demonstrates how the AHP method can be used to solve a strategic pricing decision problem.
      PubDate: 2022-02-25
      DOI: 10.1057/s41272-022-00372-z
       
  • Paths and patterns of value capture innovation in sharing economy

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      Abstract: Abstract The purpose of this research is to investigate value capture innovation in sharing economy platforms. Revenue management and pricing strategies are indeed pivotal aspects platforms should care about when (re)configuring their business models. A mixed-method investigation has been performed to achieve this goal: a longitudinal content analysis and a case studies analysis. Results from the first step of the research show that four main typologies of innovation emerge in the analyzed platforms. Furthermore, the case studies analysis reveals three main patterns (Network, Monetization, Lock-in) and the possible paths a platform can undergo when innovate its value capture mechanisms.
      PubDate: 2022-02-22
      DOI: 10.1057/s41272-022-00374-x
       
  • Dynamic pricing under competition using reinforcement learning

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      Abstract: Abstract Dynamic pricing is considered a possibility to gain an advantage over competitors in modern online markets. The past advancements in Reinforcement Learning (RL) provided more capable algorithms that can be used to solve pricing problems. In this paper, we study the performance of Deep Q-Networks (DQN) and Soft Actor Critic (SAC) in different market models. We consider tractable duopoly settings, where optimal solutions derived by dynamic programming techniques can be used for verification, as well as oligopoly settings, which are usually intractable due to the curse of dimensionality. We find that both algorithms provide reasonable results, while SAC performs better than DQN. Moreover, we show that under certain conditions, RL algorithms can be forced into collusion by their competitors without direct communication.
      PubDate: 2022-02-01
      DOI: 10.1057/s41272-021-00285-3
       
  • The continuing evolution of revenue management science

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      PubDate: 2022-01-17
      DOI: 10.1057/s41272-022-00370-1
       
 
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