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)

PRODUCTION OF GOODS AND SERVICES (143 journals)                     

Showing 1 - 137 of 137 Journals sorted alphabetically
Asia Pacific Journal of Marketing and Logistics     Hybrid Journal   (Followers: 8)
Asian Journal of Marketing     Open Access   (Followers: 5)
Australasian Marketing Journal (AMJ)     Hybrid Journal   (Followers: 4)
BMC Health Services Research     Open Access   (Followers: 22)
Capital Markets Law Journal     Hybrid Journal   (Followers: 4)
Cleaner Environmental Systems     Open Access  
Cleaner Production Letters     Hybrid Journal  
Cleaner Waste Systems     Open Access   (Followers: 2)
Consumption Markets & Culture     Hybrid Journal   (Followers: 6)
Customer Needs and Solutions     Hybrid Journal   (Followers: 4)
Direct Marketing An International Journal     Hybrid Journal   (Followers: 4)
Disaster Prevention and Management     Hybrid Journal   (Followers: 30)
Economic & Labour Market Review     Hybrid Journal   (Followers: 13)
Electronic Markets     Hybrid Journal   (Followers: 6)
Emerging Markets Review     Hybrid Journal   (Followers: 10)
European Journal of Marketing     Hybrid Journal   (Followers: 22)
Financial Markets, Institutions & Instruments     Hybrid Journal   (Followers: 38)
Food Packaging and Shelf Life     Hybrid Journal   (Followers: 3)
Foundations and Trends® in Marketing     Full-text available via subscription   (Followers: 11)
Future Business Journal     Open Access   (Followers: 2)
Global Journal of Emerging Market Economies     Hybrid Journal   (Followers: 1)
Health Services and Outcomes Research Methodology     Hybrid Journal   (Followers: 6)
Health Services Management Research     Hybrid Journal   (Followers: 16)
Health Services Research     Hybrid Journal   (Followers: 18)
i+Diseño : Revista científico-académica internacional de Innovación, Investigación y Desarrollo en Diseño     Open Access  
Independent Journal of Management & Production     Open Access   (Followers: 1)
Ingeniería y Competitividad     Open Access  
International Journal of Advanced Operations Management     Hybrid Journal   (Followers: 7)
International Journal of Bank Marketing     Hybrid Journal   (Followers: 4)
International Journal of Business and Emerging Markets     Hybrid Journal   (Followers: 1)
International Journal of Business Forecasting and Marketing Intelligence     Hybrid Journal   (Followers: 3)
International Journal of Electronic Marketing and Retailing     Hybrid Journal   (Followers: 5)
International Journal of Emerging Markets     Hybrid Journal   (Followers: 3)
International Journal of Entrepreneurial Venturing     Hybrid Journal   (Followers: 1)
International Journal of Financial Services Management     Hybrid Journal   (Followers: 1)
International Journal of Information Systems and Supply Chain Management     Full-text available via subscription   (Followers: 10)
International Journal of Inventory Research     Hybrid Journal  
International Journal of Lean Six Sigma     Hybrid Journal   (Followers: 8)
International Journal of Logistics Economics and Globalisation     Hybrid Journal   (Followers: 3)
International Journal of Managing Projects in Business     Hybrid Journal   (Followers: 3)
International Journal of Market Research     Hybrid Journal   (Followers: 14)
International Journal of Nonprofit & Voluntary Sector Marketing     Hybrid Journal   (Followers: 7)
International Journal of Pharmaceutical and Healthcare Marketing     Hybrid Journal   (Followers: 4)
International Journal of Planning and Scheduling     Hybrid Journal   (Followers: 2)
International Journal of Product Development     Hybrid Journal   (Followers: 1)
International Journal of Production Economics     Hybrid Journal   (Followers: 19)
International Journal of Production Management and Engineering     Open Access   (Followers: 4)
International Journal of Production Research     Hybrid Journal   (Followers: 13)
International Journal of Productivity and Quality Management     Hybrid Journal   (Followers: 4)
International Journal of Quality and Service Sciences     Hybrid Journal   (Followers: 2)
International Journal of Quality Innovation     Open Access   (Followers: 4)
International Journal of Research in Marketing     Hybrid Journal   (Followers: 18)
International Journal of Service Industry Management     Hybrid Journal   (Followers: 1)
International Journal of Services and Standards     Hybrid Journal   (Followers: 1)
International Journal of Services Operations and Informatics     Hybrid Journal   (Followers: 1)
International Journal of Services Sciences     Hybrid Journal  
International Journal of Supply Chain and Inventory Management     Hybrid Journal   (Followers: 7)
International Journal of Supply Chain and Operations Resilience     Hybrid Journal   (Followers: 3)
International Journal of Supply Chain Management     Open Access   (Followers: 15)
International Journal of Systems Science : Operations & Logistics     Hybrid Journal  
International Journal of Technology Marketing     Hybrid Journal   (Followers: 3)
International Journal of Trade and Global Markets     Hybrid Journal   (Followers: 2)
Internet Reference Services Quarterly     Hybrid Journal   (Followers: 33)
JCMS : Journal of Common Market Studies     Hybrid Journal   (Followers: 48)
Journal of Advances in Management Research     Hybrid Journal   (Followers: 1)
Journal of Benefit-Cost Analysis     Hybrid Journal   (Followers: 2)
Journal of Business & Industrial Marketing     Hybrid Journal   (Followers: 8)
Journal of Business Logistics     Hybrid Journal   (Followers: 8)
Journal of Business Venturing     Hybrid Journal   (Followers: 29)
Journal of Cleaner Production     Hybrid Journal   (Followers: 27)
Journal of Consumer Marketing     Hybrid Journal   (Followers: 19)
Journal of Database Marketing & Customer Strategy Management     Hybrid Journal   (Followers: 5)
Journal of Direct Data and Digital Marketing Practice     Hybrid Journal   (Followers: 6)
Journal of Emerging Knowledge on Emerging Markets     Open Access  
Journal of Entrepreneurial Finance     Open Access  
Journal of Financial Markets     Hybrid Journal   (Followers: 28)
Journal of Food Products Marketing     Hybrid Journal   (Followers: 1)
Journal of Foodservice Business Research     Hybrid Journal  
Journal of Global Marketing     Hybrid Journal   (Followers: 4)
Journal of Global Operations and Strategic Sourcing     Hybrid Journal   (Followers: 1)
Journal of Health Services Research and Policy     Hybrid Journal   (Followers: 16)
Journal of International Consumer Marketing     Hybrid Journal   (Followers: 9)
Journal of International Financial Markets, Institutions and Money     Hybrid Journal   (Followers: 19)
Journal of Loss Prevention in the Process Industries     Hybrid Journal   (Followers: 7)
Journal of Marketing     Full-text available via subscription   (Followers: 51)
Journal of Marketing Communications     Hybrid Journal   (Followers: 11)
Journal of Marketing Education     Hybrid Journal   (Followers: 7)
Journal of Marketing Research     Full-text available via subscription   (Followers: 70)
Journal of Nonprofit & Public Sector Marketing     Hybrid Journal   (Followers: 5)
Journal of Operations and Supply Chain Management     Open Access   (Followers: 6)
Journal of Political Marketing     Hybrid Journal   (Followers: 3)
Journal of Prediction Markets     Full-text available via subscription   (Followers: 1)
Journal of Product Innovation Management     Hybrid Journal   (Followers: 23)
Journal of Production Research & Management     Full-text available via subscription   (Followers: 3)
Journal of Productivity Analysis     Hybrid Journal   (Followers: 4)
Journal of Progressive Human Services     Hybrid Journal   (Followers: 1)
Journal of Public Policy & Marketing     Full-text available via subscription   (Followers: 14)
Journal of Relationship Marketing     Hybrid Journal   (Followers: 7)
Journal of Retailing and Consumer Services     Hybrid Journal   (Followers: 5)
Journal of Service Research     Hybrid Journal   (Followers: 6)
Journal of Services Marketing     Hybrid Journal   (Followers: 11)
Journal of Strategic Marketing     Hybrid Journal   (Followers: 11)
Journal of Targeting Measurement and Analysis for Marketing     Hybrid Journal   (Followers: 1)
Journal of Technology Management & Innovation     Open Access   (Followers: 5)
Journal of the Academy of Marketing Science     Hybrid Journal   (Followers: 25)
Journal of Vacation Marketing     Hybrid Journal   (Followers: 2)
Logistics     Open Access   (Followers: 1)
Logistics Journal     Open Access   (Followers: 2)
Management and Administrative Sciences Review     Open Access  
Management and Production Engineering Review     Open Access   (Followers: 1)
Manufacturing & Service Operations Management     Full-text available via subscription   (Followers: 17)
Marketing Intelligence & Planning     Hybrid Journal   (Followers: 4)
Marketing Letters     Hybrid Journal   (Followers: 10)
Marketing Review     Full-text available via subscription  
Marketing Science     Full-text available via subscription   (Followers: 34)
Psychological Services     Full-text available via subscription   (Followers: 4)
Psychology & Marketing     Hybrid Journal   (Followers: 10)
Qualitative Market Research: An International Journal     Hybrid Journal   (Followers: 3)
Quantitative Marketing and Economics     Hybrid Journal   (Followers: 4)
Reproduction Fertility and Development     Hybrid Journal   (Followers: 4)
Review of Pacific Basin Financial Markets and Policies     Hybrid Journal  
Revista Eletrônica Academicus     Open Access  
Revue Interventions économiques     Open Access   (Followers: 1)
Service Business     Hybrid Journal   (Followers: 1)
Service Oriented Computing and Applications     Hybrid Journal   (Followers: 2)
Service Science     Full-text available via subscription   (Followers: 1)
Services Marketing Quarterly     Hybrid Journal   (Followers: 5)
Social Marketing Quarterly     Hybrid Journal   (Followers: 6)
Strategy Management Logistics     Open Access   (Followers: 2)
Supply Chain Forum : an International Journal     Full-text available via subscription   (Followers: 7)
Sustainable Production and Consumption     Full-text available via subscription   (Followers: 1)
Technology Operation Management     Hybrid Journal  
The Journal of Futures Markets     Hybrid Journal   (Followers: 6)
The Service Industries Journal     Hybrid Journal   (Followers: 4)
Universal Journal of Industrial and Business Management     Open Access  
Venture Capital: An International Journal of Entrepreneurial Finance     Hybrid Journal   (Followers: 1)
WPOM - Working Papers on Operations Management     Open Access   (Followers: 1)

           

Similar Journals
Journal Cover
Quantitative Marketing and Economics
Journal Prestige (SJR): 6.239
Citation Impact (citeScore): 2
Number of Followers: 4  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 1573-711X - ISSN (Online) 1570-7156
Published by Springer-Verlag Homepage  [2469 journals]
  • A sequential choice model for multiple discrete demand

    • Free pre-print version: Loading...

      Abstract: Abstract Consumer demand in a marketplace is often characterized to be multiple discrete in that discrete units of multiple products are chosen together. This paper develops a sequential choice model for such demand and its estimation technique. Given an inherently high-dimensional problem to solve, a consumer is assumed to simplify it to a sequence of one-unit choices, which eventually leads to a shopping basket of multiple discreteness. Our model and its estimation method are flexible enough to be extended to various contexts such as complementary demand, non-linear pricing, and multiple constraints. The sequential choice process generally finds an optimal solution of a convex problem (e.g., maximizing a concave utility function over a convex feasible set), while it might result in a sub-optimal solution for a non-convex problem. Therefore, in case of a convex optimization problem, the proposed model can be viewed as an econometrician’s means for establishing the optimality of observed demand, offering a practical estimation algorithm for discrete optimization models of consumer demand. We demonstrate the strengths of our model in a variety of simulation studies and an empirical application to consumer panel data of yogurt purchase.
      PubDate: 2022-04-07
       
  • Copula-based direct utility models for correlated choice alternatives

    • Free pre-print version: Loading...

      Abstract: Abstract We propose a general framework of copula-based direct utility models and suggest two approaches (Gaussian and FGM approaches) that can accommodate correlations among unobserved utilities. We investigate how and in which directions the biases in parameter estimates of direct utility models occur when error correlations are ignored. Furthermore, we provide practical guidance to empirical researchers by examining strengths and weaknesses of the two suggested approaches. We find that the Gaussian copula approach is flexible but computationally demanding. On the other hand, the proposed FGM copula approach substantially reduces computational complexity, while fully utilizing the maximum range of correlations that is theoretically attainable by the generalized FGM copulas. We apply the proposed approaches to various contexts including grocery scanner panel, experimental, and conjoint datasets and demonstrate that overlooking the correlations may bias managerial metrics and result in suboptimal decisions (e.g., optimal package configuration, monetary equivalents of attribute levels).
      PubDate: 2022-03-23
       
  • Industry-funded research and bias in food science

    • Free pre-print version: Loading...

      Abstract: Is industry-funded scientific research likely to be biased towards finding positive results' Is industry more likely to work on topics with likely positive outcomes' Using publication-level data and focusing on food groups that are typically considered healthy, I evaluate each article’s abstract using crowdsourcing tools. I find little evidence to support selection on topics with positive outcomes, but industry is less likely to work on topics classified as unrelated to health. Conditional on a topic, I find that industry-funded research is 3.2% more positive compared to non-industry funded research with grains that receive heavier funding responsible for most of the effect. Industry-funded research is also more likely to receive a mention in certain industry newsletters. Coupled with firm incentives to use science to further their marketing efforts, such increased trade press coverage might play a role in shaping consumers’ opinions on what is healthy.
      PubDate: 2022-03-04
       
  • The role of slant and message consistency in political advertising
           effectiveness: evidence from the 2016 presidential election

    • Free pre-print version: Loading...

      Abstract: Abstract We explore the relationship between the content of political advertising on television and ad effectiveness. Specifically, we investigate how slant – the extremeness of the message – and consistency with the candidate’s primary campaign messaging in national ad buys relate to two measures of voter behavior: online word-of-mouth (WOM) and voter preference (captured through daily polls) for the candidates. Using data from the 2016 presidential election, we find that ad messages that are more (1) centrist and (2) consistent with a candidate’s primary-election platform associate with increases in online WOM and voter preference for the candidate. We further find that consistency is more important in the early (pre-October) stages of the campaign. Our results suggest that while there may be a benefit to candidates moderating their message after winning the primary election, they need to be careful about shedding their messaging from the primary election during the early stages of the general election. Additionally, our results enrich our understanding of the use of extreme messaging in political advertising, a phenomenon that is on the rise, by showing that it may have a cost of decreased candidate-related WOM and voter preference for the candidate.
      PubDate: 2022-01-28
      DOI: 10.1007/s11129-021-09246-x
       
  • Leveraging loyalty programs using competitor based targeting

    • Free pre-print version: Loading...

      Abstract: Abstract Loyalty programs (LPs) are widely used by firms but not well understood. These programs provide discounts and perks to loyal customers and are costly to administer, but produce uncertain changes in spending patterns. We use a large and detailed dataset on customer shopping behavior at one of the largest U.S. retailers before and after joining a loyalty program to evaluate how behavior changes. We combine this with detailed spatial data on customer and store locations, including the locations of competing firms. We find significant changes in behavior associated with joining the LP with a large amount of heterogeneity across customers. We find that location relative to competitors is the factor most strongly associated with increases in spending following joining the LP, suggesting that the LP’s quantity discounts work primarily through business stealing and not through other demand expansion. We next estimate a model of what variables determine how spending will change after joining the LP. We use high-dimensional data on spatial relationships between customers, the focal firm’s stores, and competing stores as well as customers’ historical spending patterns. This model is used to test whether past sales data reflecting customer’s vertical value to the firm or spatial data reflecting customer’s horizontal vulnerability are more important determinants of post-LP spending increases. We show how LASSO regularization estimated on complex spatial relationships are more effective than are models using past sales data or simpler spatial models. Finally, we show how firms can use customer and competitor location data to substantially increase LP performance through spatially driven segmentation.
      PubDate: 2022-01-10
      DOI: 10.1007/s11129-021-09237-y
       
  • Correction to: Counterfactual inference for consumer choice across many
           product categories

    • Free pre-print version: Loading...

      PubDate: 2021-12-27
      DOI: 10.1007/s11129-021-09245-y
       
  • Comments on “Counterfactual Inference for Consumer Choice Across Many
           Product Categories”

    • Free pre-print version: Loading...

      PubDate: 2021-12-01
      DOI: 10.1007/s11129-021-09243-0
       
  • Counterfactual inference for consumer choice across many product
           categories

    • Free pre-print version: Loading...

      Abstract: Abstract This paper proposes a method for estimating consumer preferences among discrete choices, where the consumer chooses at most one product in a category, but selects from multiple categories in parallel. The consumer’s utility is additive in the different categories. Her preferences about product attributes as well as her price sensitivity vary across products and may be correlated across products. We build on techniques from the machine learning literature on probabilistic models of matrix factorization, extending the methods to account for time-varying product attributes and products going out-of-stock. We evaluate the performance of the model using held-out data from weeks with price changes or out of stock products. We show that our model improves over traditional modeling approaches that consider each category in isolation. One source of the improvement is the ability of the model to accurately estimate heterogeneity in preferences (by pooling information across categories); another source of improvement is its ability to estimate the preferences of consumers who have rarely or never made a purchase in a given category in the training data. Using held-out data, we show that our model can accurately distinguish which consumers are most price sensitive to a given product. We consider counterfactuals such as personally targeted price discounts, showing that using a richer model such as the one we propose substantially increases the benefits of personalization in discounts.
      PubDate: 2021-11-17
      DOI: 10.1007/s11129-021-09241-2
       
  • Measuring the competition effects of price-matching guarantees

    • Free pre-print version: Loading...

      Abstract: Abstract The theoretical literature on price-matching guarantees (PMGs) finds that this policy has both a competition-softening and a competition-enhancing effect. Which effect dominates depends on market structure. This paper is the first to propose a structural framework to measure the impact of PMGs on market competition through a counterfactual analysis. The structural model proposed here can be estimated using price data alone. I estimate the model using data from the automotive tire market, and I find that the competition-softening effect is stronger than the competition-enhancing effect. PMGs keep transaction prices between 1% and 8% higher than they would be in the absence of such policy. PMGs exert the strongest effect on price-sensitive consumers, who tend to be the poorest. This consumer segment pays up to 10% higher prices in the presence of PMGs. The tire market has some unique features that facilitate the competition-enhancing effect of PMGs. Hence, that the competition-softening effect dominates even in the tire market suggests that PMGs may increase prices in many other markets, too.
      PubDate: 2021-11-03
      DOI: 10.1007/s11129-021-09242-1
       
  • Prices and promotions in U.S. retail markets

    • Free pre-print version: Loading...

      Abstract: Abstract We provide generalizable results on the price and promotion tactics employed in the U.S. retail grocery industry. First, we document a large degree of price dispersion for UPCs and brands across stores, both nationally and at the local market level. Base price differences across stores and price promotions contribute to the overall price variance, and we show how to decompose the price variance into base price and promotion components. Second, we document that a large percentage of the variation in prices and promotion tactics across stores can be explained by retail chain and especially market/chain factors, whereas market factors explain only smaller percentage of the variation. Third, we show that the chain-level price and promotions similarity can be explained by similarity in demand. In particular, a large percentage of the variance in price elasticities and promotion effects can be explained by retail chain and especially market/retail chain factors. Further, price elasticities and promotion effects across stores of the same chain are hard to distinguish from the chain-market-level mean, and cross-price elasticities are typically imprecisely estimated. These findings suggest that retail managers may plausibly consider price discrimination across stores to be infeasible.
      PubDate: 2021-10-29
      DOI: 10.1007/s11129-021-09238-x
       
  • Keywords, limited consideration, and organic product listings

    • Free pre-print version: Loading...

      Abstract: Abstract This paper theoretically investigates the competitive effects of digital keyword search (DKS) in an organic (unsponsored) search market. In the model, sellers can decide which keyword(s) to include in their product listings—a common, but normally unmodeled real-world decision—while consumers only consider sellers whose listings are revealed by their searched keyword(s). The analysis focuses on two structural changes brought about by DKS, wider listing and wider querying, which refer (respectively) to the ways in which DKS makes it easier for sellers to index their listings to multiple keywords and for consumers to search multiple keywords. According to the analysis, wider listing can compel a seller to add a keyword to its product listing even when doing so reduces its overall ‘reach’; in these cases, wider listing allows sellers to increase profits, but simultaneously shrinks the market and reduces consumer surplus. In contexts where adding a keyword increases reach, however, wider listing expands the market and increases consumer surplus—though often at the expense of sellers’ profits. Wider querying may reinforce these effects, though “moderately wider” querying can compel sellers to revert to single-keyword listings. New implications regarding the effects of “auto-categorization” are also addressed.
      PubDate: 2021-10-29
      DOI: 10.1007/s11129-021-09240-3
       
  • Estimating expectations-based reference-price effects in the used-car
           retail market

    • Free pre-print version: Loading...

      Abstract: Abstract This paper estimates the reference-price effects in consumers’ car purchase decisions exploiting a unique panel data-set on the non-negotiable daily list prices for used cars advertised by a large national dealership. Guided by the theory of Köszegi and Rabin (The Quarterly Journal of Economics, 1133–1165, 2006), the paper identifies the reference price for a car as the car’s list price on the previous day, a point with a large probability mass in car buyers’ price expectations. The paper finds that — controlling for a car’s actual price, its detailed attributes, the competitive environment, and a rich set of fixed effects — a positive (negative) deviation of the car’s actual price from the previous day’s list price lowers (increases) its daily sale probability significantly more than what can be accounted for by the standard effect of the car’s resulting actual price. The magnitudes of the estimated reference-price effects are comparable to that of the standard price effect and are significantly stronger for cars with more exposures to prior consumer search. Implications for the dynamic pricing strategy for car dealers (and retailers in general) and inflation dynamics are discussed.
      PubDate: 2021-10-06
      DOI: 10.1007/s11129-021-09239-w
       
  • Selling mechanisms for perishable goods: An empirical analysis of an
           online resale market for event tickets

    • Free pre-print version: Loading...

      Abstract: Abstract This paper assesses the value of the availability of menus of different selling mechanisms to agents in an online platform in the context of scarce perishable goods. By analyzing the choice between auctions and posted prices in the context of National Football League tickets offered on eBay, it estimates a structural model in which heterogeneous, forward-looking sellers optimally choose which selling mechanism to use and its features. Counterfactual results suggest that sellers would experience an average 87.37% decrease in expected revenues if auctions were removed and just a 4.34% decrease if posted prices were. In turn, buyers would benefit from an auction-only platform since the expected number of transactions would increase and expected transaction prices would decrease. These results suggest that while sellers benefit from menus of different selling mechanisms, the same does not hold for buyers. Thus, the implications for a platform, which should take into account both sides of the market, are ambiguous.
      PubDate: 2021-06-01
      DOI: 10.1007/s11129-021-09236-z
       
  • Are e-books a different channel' Multichannel management of digital
           products

    • Free pre-print version: Loading...

      Abstract: Abstract Digital products are differentiated from online and offline physical products in important ways. This paper studies the influence of digital products on existing channels and the optimal multichannel management strategy in the context of the book industry. Using individual-level online transaction data and county-level offline bookstore data, I estimate a demand model of book format and retailer choices across genres. I use the estimates to solve for publishers’ optimal wholesale pricing strategy across channels. The demand-side estimates reveal that e-books and offline bookstores appear to compete head-to-head in book genres that serve casual reading purposes such as fiction, science fiction, humor, and biographies, which I categorize as “casual” books. The supply-side results suggest that as local bookstore availability increases, publishers should charge higher wholesale prices in the offline print channel, especially for “casual” books. I find that the e-book channel does not always hurt print channels but can serve as a strategic complement and enhance the pricing power of print channels in some markets and genres; this complementarity does not rely on branding or marketing communication and crucially depends on the relative strength of the channels. Specifically, a new channel can help an existing channel when two conditions hold: first, the new channel is not too weak and can generate enough market expansion effect; second, the existing channel is not too strong and can avoid too much cannibalization from the new channel. I use counterfactual analysis to illustrate the mechanism behind this result and how a multichannel management strategy should account for relative strength across channels.
      PubDate: 2021-06-01
      DOI: 10.1007/s11129-021-09235-0
       
  • Asymmetric cost pass-through and consumer search: empirical evidence from
           online platforms

    • Free pre-print version: Loading...

      Abstract: Abstract Prices often react stronger to rising than to falling costs. This asymmetric cost pass-through is still not fully understood, but recent theories suggest that asymmetric adjustments of consumers’ search efforts to rising and to falling prices may be one explanation for this pattern. I use novel panel data to investigate the interaction of consumer search intensity, pricing and cost pass-through of residential electricity tariffs on online price comparison sites. I find that consumers search slightly more when prices rise but drastically decrease search efforts when they fall. Moreover, I find direct evidence that cost pass-through heavily depends on consumers’ search efforts in that cost increases are passed-through less to the consumer when search intensity is high while cost decreases are passed-through more when search intensity is high. This finding may help upstream firms to better understand how their price changes will translate into retail price adjustments.
      PubDate: 2021-06-01
      DOI: 10.1007/s11129-021-09233-2
       
  • Consumer search in the U.S. auto industry: The role of dealership visits

    • Free pre-print version: Loading...

      Abstract: Abstract In many markets, consumers visit stores and physically inspect products before making purchase decisions. We view the inspection of a product at a retail location as a search for product fit. We quantify the cost and benefit from searching for product fit using a discrete choice model of demand with optimal sequential search. In these models, the benefit of searching is measured by the standard deviation of the product fit and has, heretofore, been fixed to one in estimation. We show that, with an exogenous search cost shifter, both the cost and benefit of searching can be separately estimated. Our empirical setting is the U.S. automotive market. We assemble a unique data set containing individual-level smartphone geolocation data that inform us about dealership visits. We also obtain information on new vehicle purchases from proprietary DMV registration data. Our exogenous cost shifter is the distance a consumer must travel to visit a dealership. Our results show that the benefit provided by dealerships to consumers is substantial. Within our empirical context, failure to estimate the standard deviation of the product fit leads to biased search cost and consumer surplus estimates and to inaccurate predictions regarding consumers’ number of searches and effects of at-home test drive programs.
      PubDate: 2021-03-01
      DOI: 10.1007/s11129-020-09229-4
       
  • Geography as branding: Descriptive evidence from Taobao

    • Free pre-print version: Loading...

      Abstract: Abstract The geographic associations of brands and branding have been well demonstrated in the country-of-origin (COO) effect literature in that a product’s COO has a branding effect and consumers have preferences for goods from specific countries. The aggregation of these preferences can lead to unique and asymmetric trading patterns between countries. In this paper, we extend the geographic associations of brands and branding to domestic trade and document that seller provinces have a branding effect and geographic preference asymmetries can arise within peer-to-peer trade networks such as Taobao in China. We find that while buyers in one province in China are willing to purchase goods from sellers in another province, it is often the case that the relationship is not reciprocal. This asymmetry in preferences persists after controlling for time-varying factors at both buyer and seller locations. Like brands, a location therefore serves as a quality cue and reputation mechanism for the unobserved attributes of sellers, products, and logistics services from that location. We then explore factors that might be correlated with these time-invariant preferences across provinces. We find that in addition to the gravity effect of distance and the home-bias effect, other factors such as dyadic trust; migration; similarities in ethnicities; occupations and education levels; and levels of marketization and rule of law are correlated with the asymmetries. Notably, these factors differ from those identified in a contemporaneous study of eBay in the US, in which religiosity and political ideology contribute to the differences (Elfenbein et al. 2018). We believe that the Chinese and the US experiences differ because the two countries differ substantially in social, economic, political, religious, legal, and commercial environments.
      PubDate: 2021-03-01
      DOI: 10.1007/s11129-020-09232-9
       
  • The impact of social distancing on box-office revenue: Evidence from the
           COVID-19 pandemic

    • Free pre-print version: Loading...

      Abstract: Abstract In this paper, I study the short-run effect of social distancing due to the COVID-19 outbreak on movie demand and box-office revenue. Using longitudinal data on the Korean movie theater industry, I first estimate a nested logit model of movie demand, and then quantify the revenue loss in the industry. Estimation results reveal that the revenue loss due to the decrease in underlying movie demand is approximately 52 million dollars nationwide during the first five weeks after the outbreak, implying a 34 percent decrease in sales. The results also suggest an additional 42 million dollars were lost as the delay of some major movies lowered the overall quality of available movies in the market.
      PubDate: 2021-03-01
      DOI: 10.1007/s11129-020-09230-x
       
  • Correction to: Can your advertising really buy earned impressions' The
           effect of brand advertising on word of mouth

    • Free pre-print version: Loading...

      Abstract: The table below should replace Table 1.
      PubDate: 2020-12-01
      DOI: 10.1007/s11129-019-09222-6
       
  • How to generalize from a hierarchical model'

    • Free pre-print version: Loading...

      Abstract: 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 natural and correct basis for generalizations from the observed sample to the market. However, in many if not most applications standard heterogeneity models such as the multivariate normal, or its finite mixture generalization lack economic rationality because they support regions of the parameter space that contradict basic economic arguments. For example, such population distributions support positive price coefficients or preferences against fuel-efficiency in cars. Likely as a consequence, it is common practice in applied research to rely on the collection of individual level mean estimates of consumers as a representation of population preferences that often substantially reduce the support for parameters in violation of economic expectations. To overcome the choice between relying on a mis-specified heterogeneity distribution and the collection of individual level means that fail to measure heterogeneity consistently, we develop an approach that facilitates the formulation of more economically faithful heterogeneity distributions based on prior constraints. In the common situation where the heterogeneity distribution comprises both constrained and unconstrained coefficients (e.g., brand and price coefficients), the choice of subjective prior parameters is an unresolved challenge. As a solution to this problem, we propose a marginal-conditional decomposition that avoids the conflict between wanting to be more informative about constrained parameters and only weakly informative about unconstrained parameters. We show how to efficiently sample from the implied posterior and illustrate the merits of our prior as well as the drawbacks of relying on means of individual level preferences for decision-making in two illustrative case studies.
      PubDate: 2020-12-01
      DOI: 10.1007/s11129-020-09226-7
       
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
 


Your IP address: 34.231.147.28
 
Home (Search)
API
About JournalTOCs
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-