Integrating Production Costs in Channel Decisions

Production costs are critical in every business. In this research, we explore how variations in the manufacturer's production cost affect both the manufacturer-retailer channel relationship and the manufacturer's and the retailer's choice of a price-setting rule (e.g., a dollar-amount margin or a percentage-based margin). We employ a multidisciplinary approach that combines executive interviews, survey research, and a game-theoretic analytical model. The analytical model shows that both the manufacturer's and the retailer's price-setting rule influences the other party's approach to production cost. Therefore, the manufacturer's and the retailer's optimal choice of a price-setting rule is not invariant, as previous marketing literature has suggested; such choices depend on the shape of the production cost function. Overall, the results offer new insight into the channel outcomes in light of production costs. The empirical results support the analytical results.     

Strategic Role of Retailer Bundling in a Distribution Channel

We study retailer bundling in a distribution channel when the manufacturer for one bundled product can strategically set the wholesale price. We show that the retailer can use a bundling option as a strategic leverage to extract concessions from the manufacturer in form of a lower wholesale price. This finding contributes a novel rationale for retailer bundling to the bundling literature. Whenever the bundling option causes this concession-extraction effect, the retailer always benefits from the lower wholesale price. The manufacturer, nevertheless, does not necessarily suffer because bundling can lead to a higher consumer demand. We also show that the manufacturer's marginal production cost plays a critical role in driving the retailer's bundling decision, concession extraction behavior and consequently the total channel profit.     

A Comparison of Bundling and Sequential Pricing in Competitive Markets: Experimental Evidence

Technological advances enable sellers to identify relationships among offered goods. Sellers can leverage this information through pricing strategies such as bundling and sequential pricing. While these strategies have primarily been studied under monopoly assumptions, the strategies are available to competitive firms as well. This paper reports on a series of laboratory experiments comparing bundling and sequential pricing while varying the underlying relationship between the goods in markets where a fraction of buyers comparison shop. The results indicate that sequential pricing is generally as profitable to the seller; however, there is evidence that sequential pricing may be more harmful to consumers than bundling when the goods have complementary values or the buyer’s values are positively correlated.     

Bundling products to success: The influence of complementarity and advertising

This study investigates the strategic influence of product complementarity and advertising on the success of bundling products. We use a profit maximization model to show that when a firm sells bundled products, both the product complementarity and advertising significantly impact the performance of bundled products. The bundling strategy with advertising can help firm achieve higher performance than the bundling strategy without advertising. However, the price discount to the identical products must be attractive to customers and the degree of product complementarity to the complementary products must be large enough, and then the bundling strategy with advertising can obtain a success in the market. Furthermore, our results also show that when the degree of the complementarity between two products increases, firm should invest less on advertising to promote the bundled products. Based on our results, we propose optimal marketing strategies for firms to adopt. Firm managers can utilize our findings to plan their bundling strategies wisely.     

To Bundle or Not to Bundle: Firms’ Choices under Pure Bundling

We examine the economic implications of pure bundling under the settings of monopoly and duopoly. We show that under monopoly and pure bundling of goods with independent demands, the bundled price is strictly less than the sum of the unbundled prices. In the setting of duopoly and Nash prices, we examine whether bundling can be used as a tool to deter entry. In contrast to the findings of previous studies, we show that with low entry costs, entry is deterred by unbundled as opposed to bundled sales. With high entry costs, however, the incumbent chooses to bundle.     

渠道结构变迁与网络背景下的营销渠道

本文在简要梳理渠道结构演变轨迹的基础上,揭示了渠道结构变迁的内在机理,分析了网络营销渠道结构的一般特性.本文认为,特定的供求格局和科学技术特别是信息技术的发展水平,决定着渠道结构的既存状态及其变迁.随着网络和信息技术的不断完善,直接渠道将成为具有普遍意义的一种营销渠道类型,在长度、宽度、规模及空间层面呈现出新的结构特征.     

Bundling as a new product introduction strategy: The role of brand image and bundle features

Marketers can bundle an unknown brand with a strong brand as a new product introduction strategy. Drawing upon the categorization theory and the elaboration likelihood model, this study examines how a new brand can benefit from bundling with a strong brand. The results of two studies indicate that consumers’ quality perception of a new brand will be affected by the brand image of a bundle partner, and this effect is moderated by the bundle forms and the complementarity of bundle components. Academic and managerial implications of these findings are presented, along with suggestions for further research.     

Quantity Discounts, Manufacturer and Channel Profit Maximization: Impact of Retailer Heterogeneity

In this paper, we investigate if a manufacturer can simultaneously maximize own and channel profit with any quantity-based pricing policy, including a quantity-discount policy, when selling through heterogeneous retailers. We show that the manufacturer's best possible pricing policy, when retailers self-select quantities, is a quantity discount. However, this policy does not maximize channel profit. Driven by the manufacturer's inclination to reduce the quantity sold through a high-cost or low-demand retailer, this result holds whether or not retailers compete. We discuss implications of our analysis for the manufacturer.     

Framing effects in mixed price bundling

In mixed price bundling, the consumer has the choice of buying the individual products separately, as part of a bundle with a discounted price, or not purchasing them at all. Framing effects refer to how the price of the bundle is presented to the consumer. Past studies have focused on perceptual measures and aggregate level results, and have only looked at a subset of different types of price framing in any one study. In this paper we use discrete choice data to investigate whether price framing affects choice in mixed price bundles. We find that the joint, integrated frame results in the highest proportion of respondents choosing the bundle and the fewest choosing “none.” When the prices of items in a bundle are itemized, some consumers are more likely to compare prices separately to their reference prices to evaluate the attractiveness of the deal, but this actually reduces the probability of purchasing the bundle. However, the majority of consumers do not use reference prices and instead follow a simple economic choice model.

Demarketing as a differentiation strategy

Demarketing discourages consumers from buying. This paper shows that demarketing can be a profitable alternative when differentiation through product improvements is not cost effective. The impact of differentiating demarketing on profit, market share, consumers, and total welfare is investigated.This research began while Hess was visiting MIT's Sloan School of Management and was finished while visiting University of Haifa; he thanks both for their support.     

Channel Intermediaries and Manufacturer Performance: An Exploratory Investigation in an Emerging Market

Channel intermediaries (hereafter, intermediaries) are among the most critical elements of any supply chain as the bulk of manufacturing output is transported through them. However, we have a limited understanding of the approach a manufacturer should take to achieve the dual goal of increasing profitability and intermediary satisfaction. To provide manufacturers with practical strategies to boost their performance and their intermediaries’ satisfaction, we rely on three related studies. In Study 1, through interviews with managers and intermediaries, we find that distribution alignment across intermediary, market, and product types may be a practical strategy for both manufacturers and intermediaries. In Study 2, by using a robust empirical methodology with data from a construction product manufacturer operating in an emerging market, we find that various combinations of intermediary, market, and product types affect the manufacturer’s performance differently. Accordingly, through a supply-side examination, we quantify the revenue impact of reallocating the studied manufacturer’s retail distribution resources among different intermediary-, market-, and product-type combinations. In Study 3, through a field implementation, we find that our recommended intermediary alignment strategy from Study 2 substantially boosts both the manufacturer’s performance (by fourteen percent in revenue and thirteen percent in profit) and intermediaries’ satisfaction (by 7.71%). Thus, with our qualitative, empirical, and field studies, we contribute to the existing research in channel management, emerging market retailing, retail distribution, and marketing strategy.     

The Role of Big Data and Predictive Analytics in Retailing

The paper examines the opportunities in and possibilities arising from big data in retailing, particularly along five major data dimensions—data pertaining to customers, products, time, (geo-spatial) location and channel. Much of the increase in data quality and application possibilities comes from a mix of new data sources, a smart application of statistical tools and domain knowledge combined with theoretical insights. The importance of theory in guiding any systematic search for answers to retailing questions, as well as for streamlining analysis remains undiminished, even as the role of big data and predictive analytics in retailing is set to rise in importance, aided by newer sources of data and large-scale correlational techniques. The Statistical issues discussed include a particular focus on the relevance and uses of Bayesian analysis techniques (data borrowing, updating, augmentation and hierarchical modeling), predictive analytics using big data and a field experiment, all in a retailing context. Finally, the ethical and privacy issues that may arise from the use of big data in retailing are also highlighted.     

Offering value and capturing surplus: A strategy for private label sales in a new customer loyalty building scenario

The competition between private label brand and national brands in the diaper category is investigated from the view of the private label brand manager. In this category, new customers routinely enter the category buying entry-level diaper sizes (for infants) and then progress to buy larger diaper sizes over time (as their child grows older). Thus, consumer comparisons between the private label brand and national brands are focused on single diaper sizes during any single purchase scenario. Because private label brands are known to suffer from low quality perceptions that often understate the true quality levels of private label brands, this paper advances a pricing strategy to optimize private label performance in the category. The private label brand should price significantly low for small diaper sizes (maintaining a sizeable price gap from national brand competitors). Then, in most cases, the private label brand should shrink the size of this price gap for large diaper size offerings. This strategy will successfully offer initial value to new customers, build private label brand quality perceptions and loyalty, and then capitalize on these gains through higher dollar sales in the late stages of the customer relationship. The price gap shrinking strategy is found to be generally effective, but high national brand competition and too high of an initial price gap diminish the effectiveness of the strategy.     

The Determinants of Pricing Strategies for Industrial Products in International Markets

ABSTRACT

The global marketplace is becoming increasingly complex in which to conduct business. Firms marketing consumer goods have a somewhat easier time than those selling industrial products, since more has been written about them and the international consumer goods have been analyzed for a longer period of time. In addition, the international marketing literature, has looked more at the elements of product, promotion and place than price. This literature gap has created a void in the understanding of marketers as to how to effectively price industrial products in international markets.

The paper identifies the important industrial pricing strategies in international marketing and examines the underlying determinants that affect their outcome. In addition, the specific causal relationships between the determinants and pricing strategies are examined through a logistic regression analysis.     

Consumer perceptions of refund depth and competitive scope in price-matching guarantees: effects on store patronage

The study investigates the effect of two characteristics of price-matching guarantees—the depth of refund offer and the scope of competitors eligible for price matching—on consumer perceptions of price-matching guarantee believability and value and consumer intentions to patronize the retailer. The results show that large refund offers built consumer patronage intentions by enhancing perceptions of the value of the price-matching guarantee, while simultaneously exerting a negative impact on patronage by reducing believability of the price-matching promise. The competitive scope also affected the patronage intentions by influencing the perceived value of the price-matching policy.     

Engaging the unengaged customer: The value of a retailer mobile app

Mobile apps are becoming a go-to tactic for retailers because they offer the promise of highly convenient digital engagement. We hypothesize that two types of customers are best served by these apps — “offline-only” customers currently purchasing exclusively from the retailer's physical store, and “distant” customers who reside far from the physical store. For offline-only customers, the app complements the physical engagement they currently have. For distant customers, the app offers convenient engagement their remoteness currently precludes. We model app access and purchase behavior of 629 customers who downloaded a retailer's app. We find that apps generate more incremental sales among distant customers compared to near customers, and more incremental sales among offline-only customers compared to online customers. On an illustrative base of 100 K app users, we find accessing the app would generate $2.3 M in incremental sales. Consistent with our segmentation results, we find that the users with the greatest purchase lift (9.5%) due to app usage are those that are distant and offline-only. Our results confirm the economic value of retailer apps and their role as a segmentation strategy to enhance customer engagement.     

Retail Market Power in a Shopping Basket Model of Supermarket Competition

Supermarket retailers typically operate with relatively low margins, suggesting a highly competitive retail environment. However, despite the fact that consumers purchase an entire shopping basket at a time from supermarkets, this evidence is largely based on models of retail competition with single-category purchases. In this paper, we develop and test an empirical model of retail price competition that explicitly accounts for the effect of demand complementarity among items in consumer shopping baskets. Relative to the case where consumers purchase products with independent demands, we demonstrate that equilibrium prices are higher for all items when retailers take demand-complementarity into account. Our findings indicate that non-price strategies intended to encourage complementarity, such as co-merchandising, strategic shelf-positioning, or featuring complementary goods tend to soften price competition, and lead to higher equilibrium prices.     

Optimal generic and brand advertising efforts in a decentralized supply chain considering customer surplus

While the previous researches of advertising efforts decisions focus on only the firms' profit target, no literature introduces corporation social responsibility target into advertising efforts decisions of a supply chain (SC). To fill this gap, we consider a two-stage SC with a manufacturer and a retailer where the SC members consider the customer surplus. Both the retailer and the manufacturer can invest in generic advertising efforts to influence and increase the products' sales volumes. This paper investigates the following four scenarios: (1) The retailer cares the customer surplus (Model I); (2) The manufacturer cares the customer surplus (Model II); (3) Both the retailer and the manufacturer care the customer surplus (Model III); (4) We then extend the model III to the case that the manufacturer invests in both the generic and brand advertising efforts (Model IV). The objective of this paper is to determine the optimal retail price, the optimal advertising efforts, and the optimal profits of SC members, and find the influence of customer concern level on the SC performance. Finally, numerical examples are conducted to investigate the influence of the customer concern levels of the retailer or the manufacturer on the profits of the SC members and the entire SC. We also study the joint impacts of the customer concern levels of the retailer and the manufacturer on the SC performance. We find that the SC obtains the highest profits when the retailer's customer concern level and the manufacturer's customer concern level are relatively high, and the best cooperative strategy for the retailer and the manufacturer is that they improve customer concern level simultaneously.     

“One-deal-fits-all?” On Category Sales Promotion Effectiveness in Smaller versus Larger Supermarkets

Even within a store chain and format, supermarket outlets often exhibit substantial differences in selling surface. For chain managers, this raises the issue of correctly anticipating the promotion lift, and of profitably managing promotion activities, across these outlets. In this paper, we conceptualize why and how store size influences the category sales effectiveness of four promotional indicators (depth of the promotional discount, display support, feature support, and whether the promotion is quantity-based). We then estimate the net moderating effect on four product categories for 103 store outlets belonging to four chains. For each of the promotion instruments, we find the percentage sales increases to be lower in large stores. For instance, whereas a 10% point increase in feature activity enhances category sales by about 1.64% in a 700 m² store, this figure drops to only 1.03% in a 1300 m² store – a 59% reduction. This moderating effect is especially pronounced for discount depth, the relative sales lift from a typical price cut being about 78% lower in the larger-sized outlet. However, since large outlets also have larger base sales, the picture changes when we consider absolute sales effects. The net outcome is that deeper discounts or quantity-based promotions do not systematically generate larger or smaller absolute sales bumps in large stores, whereas for in-store displays and features, we obtain a clear positive (be it less than proportional) link between store size and absolute category sales lift. When it comes to margin implications, we show that large stores gain higher profit from price cuts than small outlets only as long as the retailer keeps part of the manufacturer discount to himself. Managers can use these insights to improve their promotional forecasts across outlets, as well as to tailor their mix of instruments to store selling surface.     

Assigned versus assumed: Towards a contemporary,detailed understanding of subsidiary autonomy

This paper critically documents the rise of autonomy in subsidiary management literature, and develops an agenda for future research in this key area. Integrating and updating the seminal works of Paterson and Brock (2002) and Young and Tavares (2004), the paper begins with a critical review of subsidiary autonomy within the streams of subsidiary management literature. This leads to an assessment of the key contemporary issues requiring further investigation. These issues center around two key types of autonomy: assigned and assumed. We argue these types represent a more accurate, in-depth conceptualization of subsidiary autonomy, and also have significant implications for key related topics, including subsidiary development. This is depicted in an integrative model that draws upon agency theory, the network model of the MNE, the decision process perspective and the bundling model in presenting a revised view of subsidiary autonomy, and offers a basis for further research within the field.