Business, Management and Accounting · Research topic

Open research questions in Consumer Market Behavior and Pricing

272 gap statements mined from Consumer Market Behavior and Pricing papers in our 7.9M-paper local library, which holds 3,333 papers on the topic — drawn mostly from each paper's own stated research gap, future-work, challenge and limitation notes, and its abstract. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one.

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What the literature leaves open

  • One challenge is the difficulty of manipulating social crowding in a laboratory setting, which may not accurately reflect real-world conditions. Another challenge is the potential for alternative explanations, such as emotions or decision style, which may influence the results.

    Too crowded to be adventurous: the effect of social crowding on consumer switching behavior · 2026 · DOI
  • Prior research on social crowding has yielded mixed results, and there is a need for a more nuanced understanding of its impact on consumer behavior. There is a lack of research on the effect of social crowding on consumer switching behavior, particularly in the context of conservation of resources theory.

    Too crowded to be adventurous: the effect of social crowding on consumer switching behavior · 2026 · DOI
  • The paper identifies the challenge of predicting consumer preferences and willingness-to-pay, given that a consumer's life is 'an amalgam of numerous desires, beliefs, motivations, needs, interests, and preferences, all of which persistently change in real time'. It notes the limitation of AI-powered algorithms in predicting consumer preferences.

    Price Personalization in the Age of AI: Complicating the Defense · 2026 · DOI
  • Firms face moral and practical limits in potentially identifying consumers' WTP. Algorithms are limited in their upside potential in identifying WTP. Consumer preferences are hard and sometimes impossible to predict.

    Price Personalization in the Age of AI: Complicating the Defense · 2026 · DOI
  • These implications are limited to the value dimensions and trust perceptions measured in the study and should not be interpreted as evidence about unmeasured operational practices, manufacturing arrangements, or consumer segments.

    Perceived Value and Purchase Intention for Private-Label Dairy Products in Peru: The Mediating Role of Consumer Trust · 2026 · DOI
  • Robustness to alternative polygon boundaries or a common drive-time threshold has not been tested because the required alternative polygons and demographic extracts are unavailable in the current analytical dataset.

    Where Do Grocers Go Digital: Spatial Modeling of E-Commerce Configuration Decisions in U.S. Food Retailing · 2026 · DOI
  • The digital content market is expanding rapidly, yet how post‐purchase consumption trajectories relate to consumers’ responses to promotional incentives remains underexplored.

    Consumption‐based analytics: Implications for sales and promotional strategies for digital content · 2026 · DOI
  • The gap in the current pricing systems is the inability to adapt to evolving market conditions and identify temporal correlations. The research aims to fill this gap by developing a dynamic pricing system that balances profitability and customer satisfaction.

    Machine Learning Approaches to Dynamic Pricing in E-Commerce: Balancing Profitability and Customer Satisfaction · 2026 · DOI
  • Based on the findings of this study, a set of recommendations can be made to grasp price ending strategies in e-commerce and provide a guide for future research. First and foremost, it is important that e-commerce platforms keep on applying charm pricing, such as.95 and.99 endings, for these revealed to efficiently urge a perception of savings and practicality among budget-conscious college students.

    The Effect of Price-Endings on Discerned Parsimony among College Students Using E-Commerce Applications · 2026 · DOI
  • Consider partnerships with experienced SEO agencies or consultants if in-house expertise is limited.

    A Study on the Impact of Search Engine Optimization (SEO)on Website Traffic and Lead Generation · 2026 · DOI
  • Further research could explore the use of other distance metrics or machine learning algorithms to measure product differentiation. The study's findings could be applied to other product categories or industries. Future research could investigate the relationship between product differentiation and other economic outcomes, such as prices or market shares.

    Measuring product differentiation by observing consumer search · 2026 · DOI
  • The primary focus of event ticket market reform has been directed at the secondary market, rather than the primary market. There is a lack of understanding of the market failures in the primary market and how to address them.

    Ticket touting, moral outrage and political opportunism: how not to protect consumers · 2026 · DOI
  • Quota sampling requires central management of the whole sampling process. The standard error of any estimate cannot be determined in the case of quota sampling. Statistical offices are limited by the terms of data transmission established with specific retail chains.

    Sampling techniques in the CPI measurement · 2026 · DOI
  • The paper highlights the need for further research on the effect of data filtering on the level of price indices.

    Sampling techniques in the CPI measurement · 2026 · DOI
  • Future research should focus on user retention, churn prediction, and advertising ethics in digital environments. The study suggests examining the impact of advertising on user experience and the importance of segmented original content.

    Impacto económico de la publicidad en Netflix, Prime Video, Disney + y HBO Max. Del SVOD al AVOD · 2026 · DOI
  • The study highlights the need for research on user retention, churn prediction, and advertising ethics in digital environments.

    Impacto económico de la publicidad en Netflix, Prime Video, Disney + y HBO Max. Del SVOD al AVOD · 2026 · DOI
  • The need to capture immediate purchase intention without contamination from intervening questions. The challenge of analyzing the interaction effects between anchor gender, product type, and product gender on purchase intention.

    Effects of anchor characteristics and product attributes on consumer purchase decisions in live streaming sales: evidence from an eye-tracking study · 2026 · DOI
  • The study identifies a need for businesses to rethink their search marketing strategies due to the rise of voice-based assistants. The research gap is the lack of understanding of how voice search optimisation affects local business visibility and growth.

    Voice Search Optimization (VSO) Effects on Local Business Visibility and Growth – A Case Study · 2026 · DOI
  • The trade-offs between ranking objectives are not well understood. Prior work does not provide a clear understanding of how rankings differ between objectives.

    Trade-Offs Between Ranking Objectives: Descriptive Evidence and Structural Estimation · 2026 · DOI
  • Third, the model assumes relatively static market conditions and does not account for dynamic shifts in technology, consumer preferences, or regulatory changes, which are increasingly relevant in the rapidly evolving field of AI-driven commerce.

    Signaling Effects in AI Streamers: Optimal Separation Strategy Under Different Market Conditions · 2024 · DOI
  • Despite growing academic interest, there are surprisingly few studies on how to make use of consumer ratings on the retailer side of the market, which motivates this study.

    Incorporating Consumer Ratings in Retailers’ Discount Pricing of Digital Goods · 2025 · DOI
  • Identifying close substitutes is challenging due to the complexity of product attributes. Traditional assumptions about limited competition may not hold. Measuring product differentiation requires accounting for the popularity of products.

    Measuring product differentiation by observing consumer search · 2026 · DOI
  • It does not function independently as a final trigger, but significantly amplifies the effect of combinations. The contribution in the Shapley model is higher than in Last Touch.

    DATA-DRIVEN ATTRIBUTION MODELING IN DIGITAL MARKETING · 2026 · DOI
  • To develop the Shapley value–based attribution model, a real dataset from a digital advertising campaign was utilized, comprising 10,037 records of user interactions with various marketing channels throughout January 2018. The campaign promoted a digital product offering online educational services.

    DATA-DRIVEN ATTRIBUTION MODELING IN DIGITAL MARKETING · 2026 · DOI
  • The sample size was limited to 95 participants. The study only considered a specific type of product (search-based vs. experience-based). The study did not account for other potential factors that could influence purchase intention.

    Effects of anchor characteristics and product attributes on consumer purchase decisions in live streaming sales: evidence from an eye-tracking study · 2026 · DOI

Most-cited papers in Consumer Market Behavior and Pricing

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Related topics in Business, Management and Accounting

Open questions raised by papers listed on this page include: (1) Prior research on social crowding has yielded mixed results, and there is a need for a more nuanced understanding of its impact on consumer behavior (“Too crowded to be adventurous: the effect of social crowding on consumer…”, 2026); (2) Robustness to alternative polygon boundaries or a common drive-time threshold has not been tested because the required alternative polygons and demographic extracts are unavailable in the current analytical dataset (“Where Do Grocers Go Digital: Spatial Modeling of E-Commerce Configuration…”, 2026); (3) The digital content market is expanding rapidly, yet how post‐purchase consumption trajectories relate to consumers’ responses to promotional incentives remains underexplored (“Consumption‐based analytics: Implications for sales and promotional strategies…”, 2026); (4) Further research could explore the use of other distance metrics or machine learning algorithms to measure product differentiation (“Measuring product differentiation by observing consumer search”, 2026); (5) There is a lack of understanding of the market failures in the primary market and how to address them (“Ticket touting, moral outrage and political opportunism: how not to protect…”, 2026). 272 gap statements have been mined from Consumer Market Behavior and Pricing papers in our 7.9M-paper local library, which holds 3,333 papers on the topic; the gaps come from whichever of those papers state one. They are mostly the research gaps the authors state and the papers' abstracts, plus future-work, limitations and challenges passages. The ones listed below are a selection still marked open; each names the study that raised it, with a DOI link where the paper has one, so you can read the original claim in context.

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