Consumer reasons for store ‘walkouts' and the impact on future store patronage

This study addresses ‘walkouts’, one of the major issues identified by the Skaggs Institute of Retail Management for 1990–1993. Walkouts are dissatisfaction responses of consumers who enter a store with the intention of making a purchase but who eventually leave without doing so. A more severe situation occurs when the consumer becomes a store defector, one not willing to patronize the store in the future. Results of this study indicated that customers walked out three times more often because of poor merchandise assortment than for lack of, or discourteous, service. However, the consequences of poor merchandise assortments were less detrimental to the retailer/consumer relationship than poor service. Findings revealed that half of the consumers who walked out because of poor service indicated they would not shop in the store in the future - store defectors.     

Exploiting the installed base using cross-merchandising and category destination programs

We investigate two ways to increase sales and customer loyalty by taking advantage of a store's installed base of current customers. We propose a classification of products into two types. Products of Type 1 are products for which consumers have a loyalty to a specific retailer and, as far as possible, always shop at that retailer for these products. The other products (Type 2) are not associated with any retailer and are bought at whichever retailer consumers happen to shop when they plan or remember to buy the product. With this in mind, we test the potential of two marketing tools to help retailers increase their share of sales of the Type 2 segment. Using a category destination program we show that one can successfully transform Type 2 into Type 1 products. Using cross-merchandising promotions, we show that one can increase the sales of Type 2 products thereby gaining a larger share of discretionary purchases than what one would receive from a straight random allocation. Both series of tests yielded significant increases in sales and profits and were deemed successful by the retailers who implemented them.     

Analysis of free gift card program effectiveness

Retailers use various promotions, such as gift cards, to increase profits. When retailers give gift cards “free” to consumers who spend above specified thresholds in a single purchase, some consumers may buy more goods. We develop a model to derive the optimal purchase amount thresholds and gift card values. The model is developed for consumers without and then with a spending constraint. We find that the retailer's profit margin, the degree of forward buying and stockpiling, and use of gift cards in future purchases that would have been made with cash, are the most important factors in determining the profitability of gift cards. Gift cards may be very profitable for high-margin retailers who can limit the degree of forward buying and stockpiling, particularly when consumers use gift cards to buy goods they would not have bought from the retailer without gift cards. If this is how consumers use the gift cards, then consumers spending above the cards’ value at redemption can significantly increase their profitability. Without a consumer spending constraint, it is best for the retailer to offer at most one gift card at a large purchase amount. With a consumer spending constraint, it may be profitable to give gift cards at multiple purchase amount thresholds. We also show that the commonly observed policy of giving gift cards at equally spaced purchase amounts may be profitable when forward buying and stockpiling can be controlled. Moreover, we show that gift cards become more profitable when consumers are inconsistent, that is, they overestimate their probability of redeeming the gift card at purchase time. Finally, gift cards may have only a slight profit advantage over discounts if consumers are consistent. Consumer inconsistency and spending above the cards’ value increase this advantage.     

Pricing and coordination with consideration of piracy for digital goods in supply chains

Sales of digital goods via traditional channels are affected by those on digital channels, and thus a competitive relationship often exists. In addition, due to the ease of piracy, digital goods may suffer from a fall in demand, which intensifies competition. This study considers a single supplier who sells digital goods, which may be pirated, to customers through two independent and different retail channels, such as traditional and digital ones, which may compete with each other in terms of service and price. To consider the effects of piracy on demand, a Stackelberg game is utilized to determine the optimal gain-sharing ratio and the equilibrium prices for all channel members with an aim to maximize the profit of the entire supply chain. It is found that an increase in piracy would force retailers to compete in a smaller market, and thus lead to a decrease in profits for each channel member. Therefore, a retailer who has a greater market share and is capable of managing a lower piracy rate would gain more profits by setting a higher price.     

The impact of supply disruption risk on a retailer’s pricing and procurement strategies in the presence of a substitute product

Retailers often experience stockouts when a supplier fails to deliver an order. In this paper, we identify the optimal procurement policy of a multi-product retailer in the presence of possible supply disruptions. Our analysis reveals that, in anticipation of potential supply disruptions, a retailer would typically benefit from ordering more units from a reliable supplier and fewer units from an unreliable one. Furthermore, the total number of units ordered may increase when there is supply disruption risk. As a result, the retailer may overstock some items. However, there are situations in which a retailer would optimally respond to supply uncertainty by consolidating its selling strategy around the unreliable supplier’s product. Under such a strategy, we find the surprising result that the retailer reduces the amount it orders from a reliable supplier as an unreliable seller becomes even less reliable. We also explore how supply disruptions can affect a retailer’s optimal pricing strategy. We find that under certain conditions, it is beneficial for a retailer to lower its price of a substitute product when one supplier fails to deliver its product. Finally, we find that, on net, consumers may benefit from supply uncertainty even though supply disruptions eliminate access to a desirable product.     

Despite unethical retail store practices,consumers at the bottom of the pyramid continue to be loyal

Research in the area of retail store loyalty agrees that consumers reward retailers when they are satisfied with its products, services, and its image. Moreover, one would agree that if the retailer engages in unethical practices, the customer would quickly defect and even engage in word of mouth to influence others to defect. But this might not be the case universally. One consumer group that continues to be loyal to a retailer despite widespread unethical practices is the poor. A growing stream of research under the label of bottom of pyramid (BoP) and subsistence consumers has increasingly pointed out the market attractiveness of this segment to multinational companies. These poor consumers are individuals who earn approximately $2 per day. In this paper, we explain the nature of widespread unethical retail practices prevalent amongst the neighborhood retail stores (or kirana as they are referred to in India) that serve the BoP consumer, types of patronage behaviors, and the reasons ‘why’ these consumers continue to support the kirana store. The data for this paper comes from a qualitative study conducted with 58 urban poor consumers in India. This study carries significant implications for both domestic and multinational companies that market fast-moving consumer goods in the BoP market.     

Expanding to direct channel: Market coverages as entry barrier

A direct marketer can be either a manufacturer selling directly to the final consumers or a retailer that sells an assortment of products from multiple manufacturers. From a manufacturer's point of view, expanding to an online direct channel seems very attractive because intermediaries can be bypassed in reaching final consumers, while the Internet has substantially lowered the entry barrier. With the rapid diffusion of electronic commerce, numerous manufacturers have been considering a direct online channel as an alternative or a supplement to existing retailer channels. However, we observe in the real market that not many manufacturers are fully engaged in online retailing. One major factor frequently mentioned is the conflict with existing dealers who will not be pleased with a manufacturer's attempt to cannibalize their sales. This paper attempts to provide another explanation by comparing theoretical market coverage of manufacturers in a direct channel and a channel with intermediaries. We show that the direct channel can support fewer firms than the traditional retailer channel does, which becomes an effective entry barrier to latecomers. In equilibrium, the products are positively but finitely differentiated in their qualities, and the top two quality tiers would capture more than 75% of the direct channel's market potential (i.e., the “finiteness property”). Thus latecomers would find it difficult to gain a substantial market share against the existing pioneers in the competitive direct market unless they can find other meaningful ways to differentiate horizontally. The sales data of the online retail industry supports our finding.     

Retailer voluntary investment against a threat of manufacturer encroachment

To elucidate supply chain cooperation between a manufacturer and a retailer, this study examines a model in which the retailer makes voluntary investments to reduce the marginal production cost of the manufacturer. The manufacturer is allowed to introduce a direct selling channel in addition to the indirect channel through the retailer (i.e., manufacturer encroachment), which however dampens the retailers’ investment incentives. The retailer can leverage its voluntary investments as a means of deterring manufacturer encroachment. We demonstrate that manufacturer encroachment is strategically deterred when the retailer’s cost-reduction technology is sufficiently effective. This strategic encroachment deterrence encourages the retailer to invest more, but it narrows the variety of channels from which consumers can select. When the latter effect dominates the former effect, consumer surplus declines with strategic encroachment deterrence.

     

'One brand,three ways to shop': situational variables and multichannel consumer behaviour

To counter the growth in online retailing, high street retailers are increasingly adopting multichannel distribution strategies, seeking to target individual consumers via both physical and electronic channels as multiple routes to purchase. In order to develop successful marketing strategies within this environment, however, an understanding of consumer selection between available purchase channels is clearly needed. This paper explores the issue of shopping mode selection from an environmental psychology perspective, applying a traditional Belkian analysis of situational variables in a longitudinal study of consumer channel selection decisions. Preliminary findings from an empirical study of consumers of a leading UK fashion retailer are reported which reveal significant differences in the prevalence of different Belkian variables between shopping modes, suggesting a major role for situational influence during the channel selection process.     

CSR: Consumer responses to the social quality of private labels

This paper investigates the responses of French consumers to the communication of the “social quality” of private labels (PL) in terms of perceived quality of the PL and intentional loyalty to the brand and the retailer. It also treats the role of some individual variables in these responses. Using experimentation with two independent groups, we show that communicating the “social quality” of the PL improves his perceived quality and the consumer′s intentional loyalty to the brand and the retailer. We also suggest through some individual variables a profile of the most sensitive consumers to the socially responsible PL.Few papers treat the relational potential of the socially responsible private label (PL) in the retailer′s strategy. This paper, through experimentation (N1=N2=400), studies this aspect on three levels: (a) consumers′ response to PL′s social quality in terms of perceived quality, (b) loyalty towards the socially responsible PL and the retailer, (c) and the role of individual variables in these responses. The findings reveal that (a) the communication of the PL′s social quality improves the perceived quality of the PL, (b) it also improves consumers′ intention of loyalty towards the PL and the retailer. It studies also (c) individual characteristics of consumers sensitive towards PL′s social quality.     

Manufacturer marketing initiatives and retailer information sharing

This research examines a retailer’s incentive to share information with its supplier when the supplier can also undertake initiatives to increase retail demand. It is well known that a retailer is averse to sharing market information with a manufacturer due to concern for a manufacturer’s strategic use of such information. This research shows that despite such strategic exploitation of market information, a retailer may want to establish information sharing channels with its supplier. Information sharing essentially shifts power upstream which, in turn, enhances the manufacturer’s incentive to bear costs to boost retail demand: the manufacturer is induced to invest merely by knowing that information is on its way. Hence, the retailer benefits from information sharing ex ante despite the costly ex post exploitation by the manufacturer. This finding is a stark contrast to the most of previous results which consistently point out how bad it is for the manufacturer to have the retailer’s demand information before setting prices. In fact, due to the investment effect, information sharing can lead to gains for the retailer, manufacturer, and consumers alike.     

Examining the role of store design on consumers’ cross-sectional perceptions of retail brand loyalty

This paper compares new and established store design prototypes of the same retailer to examine the role of consumers’ cross-sectional perceptions of retail brand loyalty. In-store surveys were administered to capture consumers’ store-level perceptions towards a new store prototype and an older established prototype of the same fast fashion retailer. The data was subjected to multi-group analyzes with structural equations modeling. The findings suggest that store novelty and complexity promote both store design pleasure and retail brand loyalty outcomes. The different store designs do not, however, account for differences in brand loyalty perceptions at the overall retailer level when multi-group comparisons of both store designs are made. Consumers of newer store designs are found to possess a heightened sensitivity to price perceptions. Managerial implications of the effects of store novelty and complexity on retail brand loyalty are also presented.     

The omnichannel continuum: Integrating online and offline channels along the customer journey

This paper provides a framework for conceptualizing omnichannel integration as a continuum, identifies phenomena that determine how firms should position along that continuum, and summarizes empirical research regarding these phenomena. The framework combines the customer journey (search to purchase to aftersales) and channel choice (online vs. offline). This generates a range of omnichannel strategies, anchored by “Unconnected” on one extreme and “Complete” on the other. In between, “Vertical” strategies integrate channels over the customer journey, while “Horizontal” strategies integrate across channels at a given stage in the customer journey. We draw on more than 200 articles to identify 10 consumer and marketing phenomena (“determinants”) that influence where a firm should position along the continuum. This however raises challenges. For example, empirical research surprisingly finds many customers belong to an offline-focused segment. This suggests a Vertical strategy linking offline channels. However, today's turbulent retail environment questions whether the offline-focused segment will endure. Should the retailer cater to offline-focused customers or facilitate their progression to “multichannelism”? Another finding is that consumers strongly prefer consistency across channels. This suggests a Horizontal strategy. However, consistency might create channel cannibalization. How can the retailer avoid this? We discuss these and several other findings regarding the impact of the 10 determinants on omnichannel continuum strategy. We identify issues researchers need to research and managers need to consider when developing omnichannel continuum strategy.     

Temporary brand–retailer alliance model: the routes to purchase intentions for selective brands and mass retailers

We investigate a common but under-studied practice, the temporary alliance between a selective brand and a mass retailer, online or offline. Using a before-and-after methodology, we show how the attitude towards the new offer of a selective brand at a mass retailer plays a central mediating role. It is influenced by brand–retailer fit and product-category fit. It influences purchase intention towards the new offer, attitude changes towards the selective brand and mass retailer, and therefore purchase intention towards the brand and retailer. We also reveal a counterintuitive direct negative route from product-category fit to changes in purchase intention towards the retailer. To offer important managerial implications, we break out results for two selective brands and two types of mass retailers.     

Why would a big retailer refuse to collaborate on manufacturer SPIFF programs?

Big retailers that carry a large assortment of products rely on knowledgeable salespeople to provide purchase advice to customers and match customers with suitable products. Interestingly, big retailers vary in their policies regarding whether to allow their salespeople to receive manufacturer SPIFF (Sales Person Incentive Funding Formula) payments, which motivate salespeople advising at no cost of the retailer. In this study, we investigate a big retailer’s incentive to block manufacturer SPIFF programs, which has the consequence of demotivating salespeople from advising customers, from the perspective of vertical channel interactions. We scrutinize a big retailer’s decision to maximize its profit through managing its channel interactions with upstream manufacturers offering horizontally differentiated products, customers uncertain about true fits with competing products, and its salesperson who can match customers with suitable products through offering purchase advice. Our analysis shows that motivating the salesperson to advise customers is profitable for the retailer only if the such advising has moderate effectiveness in matching consumers and suitable products, and only in this case would the retailer collaborate on manufacturer SPIFF programs. Otherwise, salesperson advising hurts retailer profit and the big retailer benefits from blocking manufacturer SPIFF programs. Our study reveals the interesting theoretical insight that the incentives of a big retailer and upstream manufacturers to motivate sales advising reside in their incentives to battle for a more favorable channel status.     

Online Price Search: Impact of Price Comparison Sites on Offline Price Evaluations

Consumers increasingly rely on Internet price comparison sites (PCS) to gain knowledge about the market. The prices generated by a PCS search can act as contextual reference prices and influence the attractiveness of prices encountered later as consumers shop offline at local stores. This paper demonstrates that both PCS retailer ratings and the shape of the PCS price distribution influence the impact of PCS search results on later price evaluations. A favorable PCS retailer rating increases the perceived validity of the price associated with that retailer, enhancing the impact of that PCS price on offline price evaluations (Study 1). The shape of the PCS price distribution can also influence later price evaluations, however this effect depends on the information provided by the PCS retailer ratings. When PCS retailer ratings are similar, implying similar validity for the associated prices, low PCS prices and those appearing more frequently in the PCS price distribution have more impact (Studies 2 and 3). When PCS retailer ratings are variable (some high and some low), the PCS price distribution effect occurs only when the PCS retailer ratings provide congruent information about price validity — that is, the most frequent price is offered by retailers with more favorable ratings. Study 3 shows that price validity inferences do mediate this result. Finally, we depart from the offline shopping context to show that when consumers choose a retailer directly from the PCS search results, the effect of PCS retailer ratings is stronger for high-priced retailers and for consumers who rely less on the retailer price as a heuristic to infer retailer service level. Based on our findings we offer insights for online and offline retailers when considering strategic responses, such as price matching guarantees.     

On manufacturers complementing the traditional retail channel with a direct online channel

With the explosion of the Internet and the reach that it affords, many manufacturers have complemented their existing retail channels with an online channel, which allows them to sell directly to their consumers. Interestingly, there is a significant variation within product categories in manufacturer's use of the Internet as a direct distribution channel. The main objective of this study is to examine the strategic forces that may influence the manufacturer's decision to complement the retail channel with a direct online channel. In particular, we are interested in answering the following questions:

1. Why is it that in some markets only a few firms find it optimal to complement their retail channels with a direct Internet channel while other firms do not?
2. What strategic role (if any), does the direct Internet channel serve and how do market characteristics impact this role?

To address these issues we develop a model with a single strategic manufacturer serving a market through a single strategic retailer. In addition to the focal manufacturer's product the retailer carries products of competing manufacturers. Consumers in this market are one of two types. They are either brand loyal or store loyal. The retailer sets the retail price and the level of retail support, which impact the demand for the manufacturer's product. The retailer's decisions in turn depend on the wholesale price as well as the Internet price of the product if the manufacturer decides to complement the retail channel with an online channel. Our analysis reveals that the optimality of complementing the retail channel with an online channel and the role served by the latter depends critically upon the level of support that the retailer allocates to the manufacturer's product in the absence of the online channel. The level of support allocated by the retailer, in the absence of the online channel, depends upon the retail margins on the manufacturer's product relative to that on rival products in the product category. When the size of the brand loyal segment is small relative to the size of the store loyal segment then in the absence of the online channel, the manufacturer can lower wholesale price and enhance retail support, especially when the retail margins on the rival products are low. In contrast, when the size of the loyal segment is large and the retail margins on rival products are high the manufacturer will find it more profitable to charge a high wholesale price even if that induces the retailer to extend low levels of support. If the manufacturer decides to complement the retail channel with an online channel, some consumers who would have purchased from the retailer might prefer to purchase online. Our analysis reveals that when consumers' sensitivity to price differences across the competing channels exceeds a certain threshold it is not optimal for the manufacturer to complement the retail channel with an online channel. However, this price sensitivity threshold itself depends upon product/market characteristics, suggesting that manufacturers seeking to complement their retail channels with an online channel should look beyond the nature of threat the online channel poses to the retail channel in devising their optimal distribution strategies. When the retail margins on rival products are sufficiently small, complementing the retail channel with an online channel when optimal allows the manufacturer to price discriminate and enhance profits. In contrast when retail margins on rival products are sufficiently high, complementing the retail channel with an online channel serves to enhance retail support. We also identify market conditions under which profits of both the manufacturer and the retailer are greater with the online channel than that without it. This is particularly interesting since the online channel competes with the retail channel.     

The roles of multiple channels in predicting website visits and purchases: Engagers versus closers

In today’s online environment, consumers and sellers interact through multiple channels such as email, search engines, banner ads, affiliate websites and comparison-shopping websites. In this paper, we investigate whether knowing the history of channels the consumer has used until a point of time is predictive of their future visit patterns and purchase conversions. We propose a model in which future visits and conversions are stochastically dependent on the channels a consumer used on their path up to a point. Salient features of our model are: (1) visits by consumers are allowed to be clustered, which enables separation of their visits into intra- and inter-session components, (2) interaction effects between channels where prior visits and conversions from channels impact future inter-session visits, intra-session visits and conversions through a latent variable reflecting the cumulative weighted inventory of prior visits, (3) each channel attracts inter-session and intra-session visits differently, (4) each channel has different association with conversion conditional on a customer’s arrival to the website through that channel, (5) each channel engages customers differently (i.e., keeps the customer alive for a next session or for a next visit within a session), (6) the channel from which there was an arrival in the previous session can have an enhanced ability to generate an arrival for the same channel in the current session (channel persistence), and (7) parsimonious specification for high dimensionality in a low-velocity, sparse-data environment. We estimate the model on easy-to-collect first-party data obtained from an online retailer selling a durable good and find that information on the identities of channels and incorporation of inter- and intra-session visits have significant predictive power for future visitation and conversion behavior. We find that some channels act as “closers” and others as “engagers”—consumers arriving through the former are more likely to make a purchase, while consumers arriving through the latter, even if they do not make a purchase, are more likely to visit again in the future or extend the current session. We also find that some channels engage customers more than others, and that there are interaction effects between the channels visited. Our estimates show that the effect of prior inventory of visits is different from the immediate prior visit, and that visit and purchase probabilities can increase or decrease based on the history of channels used. We discuss several managerial implications of the model including using the predictions of the model to aid in selecting customers for marketing actions and using the model to evaluate a policy change regarding the obscuring of channel information.     

How information processing and mobile channel choice influence product returns: An empirical analysis

The mobile internet is starting to overtake the desktop device‐based internet as a purchase channel. Its impact on consumer behavior is therefore increasingly important to understand. This study seeks to understand and measure, if usage of mobile devices for online purchases leads to a lower decision quality and, in effect, to more product returns. In doing so, the impact of information environments on the end‐to‐end consumer purchase decision‐making process is better understood and it is investigated, if the information environment of mobile devices leads consumers to take more error‐prone purchase decisions. An exclusive data set spanning more than 140 million transactions of a European online retailer is used to empirically analyze changes in product return behavior after mobile channel adoption. The results show that mobile channel usage is positively related to product returns, overall and for both, purchases made with mobile devices and purchases made with desktop devices, although prior literature predicts that returns from desktop purchases should not increase. These findings suggest that through new channels, consumers’ information environment is altered sufficiently to affect their decision accuracy. Moreover, the results indicate that previous research may be overestimating the positive effect of mobile channel adoption on sales by disregarding changes in product return behavior.     

考虑零售商销售努力的双渠道供应链定价策略研究

随着电子商务市场的日益成熟,制造商建设线上直销渠道来适应新的商品销售环境成为趋势。制造商线上直销渠道的建立占领了部分原本属于线下零售渠道的市场份额,对线下零售渠道造成冲击。针对双渠道供应链中的竞争,将零售商销售努力行为考虑在内,通过构建博弈模型分别研究了在集中决策模式和分散决策模式下,制造商与零售商的定价策略。研究发现,在集中决策模式下,线下零售渠道与线上直销渠道之间的价格差异随着两个渠道潜在需求量之间差异的增大而增大,并且两个渠道的最优价格分别与其市场潜在需求成正比。在分散决策模式下,两个渠道的最优价格亦与潜在需求成正比,并且线下零售渠道的最优价格随零售商销售努力程度的增加而增加,线上直销渠道的最优价格随着零售商销售努力程度的增加而减少。