Is the online-offline buy-online-pickup-in-store retail strategy best among other product delivery strategies under variable lead time?

Every industry improves customer satisfaction by either preventing stockout situations or fulfilling the customer's demand by reducing lead time and variance of the lead time with several services offered. This study considers online selling, offline selling, and buy-online-pickup-in-store policies for selling products from retail stores. This study builds a characteristic relation between buy-online-pickup-in-store, backorder, and on-hand inventory by giving an exact total profit function instead of the expected profit function. The marginal values on lead time and variance of the lead time earn more exact outcomes for any retail strategy. The specific transportation cost for different retail strategies is considered and tested. This paper shows the analytical results which prove that the total profit of the sustainable supply chain is a convex function of both lead time and variance of the lead time. As different channel selling is crucial to any industry for increasing customer demand, the retailer sells their products by hybrid channel and advertises their products online to make them more famous. The model is solved through a classical optimization technique to get a semi-closed-form solution. In this method, it is possible to find out the optimum results for the decision variables separately by equating the first order partial derivative of the total profit with respect to the decision variables to zero and the global optimality by the Hessian matrix. A numerical experiment is conducted here, and the result shows that the supply chain system gives 14.48% more profit if advertisement policy is applied. The supply chain system gives 57.31% less profit and 72.72% less profit when only an online or offline channel is adopted, respectively. A sensitivity analysis is done for the managerial effects of cost parameters on the total profit.     

Revenue management in a multi-level multi-channel supply chain considering pricing,greening, and advertising decisions

This paper explores coordinated decisions regarding a multi-level multi-channel supply chain considering the price of sale channels, the advertisement level, and the green policy of the products. The main objective is to maximize the total profit of the Supply Chain (SC) by considering the profitability of entities. In this regard, two kinds of selling channels (i.e. online and in-person) are extended to enable all the entities to sell the product through their own channels. Demands in both types of channels depend on price, greenness, and advertisement. In the studied SC, the manufacturer not only produces the products and sells them to the distributor and the customer but it also decides on the greening and advertising levels. As a contribution, the demand functions simultaneously consider environmental and financial issues. Besides, since each member has its own selling channel, it should determine the price based on three criteria: advertising costs, greening costs, and other members' pricing decisions. For this purpose, three models including Centralized Supply Chain (CSC), Decentralized Supply Chain (DCSC), and Modified Centralized Supply Chain (MCSC) are developed and then solved to cope with various real-world situations. Based on the findings, although the SC gains the most profitability under the CSC model, the manufacturer faces a considerable loss. To overcome this issue, the MCSC model ensures the manufacturer's profit while keeping the price, greenness, and advertisement competitive. Also, the profitability of the MCSC model is more than that of under the DCSC model. The proposed models' performance for different situations is corroborated using several examples and various analyses, along with a real case study. The results acknowledge the applicability of the models and give practical insights for experts.     

Do you think that the home delivery is good for retailing?

Order placing and delivery always play a significant role in any business industry. Nowadays, most customers want useful products at their doorstep without visiting any retail store. In this current study, an advanced dual-channel supply chain model is constructed for a single product with two players. Customers can order online or offline from the retail store. In contrast, retailers use only offline mode to take the product from the manufacturer, and retailers charge a different amount for delivery. To optimize profit and satisfy the consumers, retailers only provide a free transportation service when customers order a certain quantity. If customers order less than the desired amount, a transportation charge will be applied to the customers. Contrary to the existing research, demand for the products varies with the selling price online and offline and is also affected by the free home delivery service. Manufacturers use a single-setup multi-delivery (SSMD) transportation strategy to enrich the system's profit. To make the study more applicable, all unit costs are considered fuzzy. Signed-distance defuzzification technique is adopted to defuzzify the fuzzy values. Finally, the total profit of the supply chain is optimized along with the optimized value of the decision-making variable through an uncertain optimization technique. Numerical experiments are carried out along with sensitivity analysis to show the applicability and optimality of this study. Though the crisp data set provided a 0.72% better result compared to the fuzzy data set, but fuzzy data set provided a more realistic result. Numerical results prove that the home delivery service provided 14.59% better profit. Finally, it can be stated that the home delivery policy with some charged amount based on ordered quantity is the best retailing strategy for the dual-channel supply chain.     

Online channel strategies under different offline channel power structures

This study explores the manufacturer's marketing and pricing strategies for online channel under different offline channel power structures. Through these strategies, the manufacturer sells products through an offline retailer and an e-tailer. The manufacturer decides the cooperation mode with the e-tailer by the reselling or the agency selling mode and the pricing strategy on the basis of the power structures, i.e., vertical Nash structure (VN), manufacturer Stackelberg structure (MS), and retailer Stackelberg structure (RS). We find the manufacturer selects the online agency selling mode when the commission rate is less than the given threshold. As long as the commission rate is more than another threshold, the manufacturer selects the online reselling mode under the VN structure; however, the manufacturer selects the online agency selling mode under the other two structures. As well, the offline wholesale price is higher under the MS structure than those under the VN and RS structures. When the manufacturer selects the online agency selling mode, the offline retail price is highest under the MS structure, and the online retail price is highest under the VN structure. Meanwhile, consumers can always obtain a higher surplus in the online agency selling mode under all offline power structures.     

Consumer heterogeneity and online vs. offline retail spatial competition

This paper develops a game-theoretic spatial model featuring consumer heterogeneity in online vs. offline retailers’ spatial competition. We find that consumers’ browse-and-switch behavior intensifies the competition because both offline and online retailers’ price and profit decline when the behavior occurs, but it is not necessarily a threat to offline retailers especially when the product relates more closely to experience. We consider six equilibrium scenarios for different combinations of consumer behaviors when considering a hybrid retailer. The analysis taking consumer heterogeneity into consideration shows that the hybrid retailer operating both online and offline is not always the winner. Particularly, the business opportunity for the offline retailer lies in consumers’ willingness to pay in store, and whether the retailer launches an online store depends on the type of products and services provided.     

Pricing coordination of a dual-channel supply chain considering offline in-sale service

With the rapid development of e-commerce, the problem of pricing conflicts between online and offline channels has become increasingly prominent. And the in-sale service has become an important factor influencing consumers' purchase decisions. To study the impact of in-sale service, this paper establishes a dual-channel supply chain model considering offline in-sale service. Using Stackelberg's game theory and backward induction, it solves the optimal pricing of supply chain members and makes comparisons in both cooperative and non-cooperative situations. Finally, it coordinates the supply chain through a two-part tariff contract. The results show that (1) The optimal wholesale price and offline retail price are positively correlated with in-sale service quality. And the opposite of the optimal online direct selling price. (2) With the quality of in-sale service improving, the retailer's profit will increase and then decrease but the manufacturer's profit will always decrease under non-cooperation. The total profit of the supply chain will rise and then fall under cooperation. (3) The two-part tariff coordination maximizes profits with the manufacturer reducing the wholesale price and the retailer paying a transfer cost. (4) Cooperative decision is better than the non-cooperative decision in terms of the supply chain as a whole.     

The impact of information sharing and bullwhip effects on improving consumer services in dual-channel retailing

Data sharing among the supply chain players can be an exceptionally significant factor for the retailing industry. In this consideration, an improved retailing methodology for a dual-channel supply chain with a single retailer and manufacturer is built under the bullwhip effect and asymmetric data sharing. Retailer provides asymmetric information to the manufacturer regarding demand to increase their profit. In this scenario, measuring the bullwhip effect is essential in retailing strategy. By adopting an online-to-offline retailing strategy, industries can earn more profit and increase the satisfaction level of customers. The present study focuses on dual-channel retailing, where the demand for the product in both channels varies with the selling price. Keeping in mind the goal of sustainable development, an advanced transportation strategy is utilized in this study, along with some carbon emission costs. Autonomated inspection is utilized to identify defective products. Finally, centralized and decentralized profit functions are formulated for this study. Several cases and numerical examples are provided to validate this study. It is clear from the numerical findings that information sharing within the players provides 1.26% more profit compared to a decentralized case. Due to asymmetric information, which leads to the bullwhip effect, the retailing system faces loss. Thus, information sharing is 0.19% beneficial for dual-channel retailing. Sensitivity analysis for key parameters ensures the findings' applicability in the real world.     

Why is Price Dispersion Higher Online than Offline? The Impact of Retailer Type and Shopping Risk on Price Dispersion

When physically similar products, of similar quality, are offered by retailers both online and offline, we often observe that the dispersion in prices of these products online is greater than the price dispersion offline. This observation runs counter to early theories that suggested price dispersion online would be smaller than that offline due to the ease of search and information availability online. This paper investigates and provides an explanation for this puzzling phenomenon by examining the impact of two important drivers of price dispersion: retailer type and consumers’ shopping risk. Retailer type refers to whether a retailer is a pure offline, pure online, or dual channel retailer. Shopping risk is defined as the product of consumers’ perceived risk of shopping and the transaction uncertainty related to shopping at different types of retailers.A game-theoretic approach is adopted to model consumers’ price search and product purchase, as well as price competition within and across retailer types in online and offline markets. Equilibrium pricing strategies are derived for different retailer types competing for different consumer segments with different levels of perceived shopping risk. The impact of retailer type and shopping risk on online versus offline price dispersion are quantified, and conditions when price dispersion is greater online than offline are identified.Results indicate that price dispersion is greater online when the number of pure online retailers is sufficiently large and is increasing in the number of pure online retailers. In addition, a reduction in online shopping risk may actually increase online price dispersion. Results further suggest that even without any online sales, dual channel retailers should maintain their online presence for the purpose of information dissemination, which justifies the importance for pure offline retailer to incorporate webrooming strategies, where consumers can search for prices online but purchase offline.     

Is online-to-offline customer care support essential for consumer service?

Customer satisfaction is the main pillar for convenient and profitable retailing. The retail sector continuously tried to develop new strategies to improve consumer satisfaction. It is impossible to provide each service directly to the consumer by the retailer. In this direction, the retailer establishes customer care to provide the best service to consumers. Consumer care can provide promotional or prevention services, increasing the consumer's satisfaction level. This study is developed to show the impact of retailers' customer care service for an offline-to-online retailing strategy. The demand is consumer support, advertisement, and selling price dependent. For maintaining consumer service, some free home delivery policies are offered, when consumers ordered more than a certain percentage of the amount. Finally, the total profit of this O2O retailing system is calculated by the classical optimization technique. Some special cases are discussed in the numerical section to prove the impact of customer care services. Numerical results prove that customer care support enhances the profit by 48.20%, whereas investment in the advertisement and home delivery strategy helps the retail industry to earn 44.80% and 16.74% more profit, respectively. Finally, from this study, it is clear that customer care activities are essential to increase the profit of the retailing sector.     

The impact of adopting customization policy and sustainability for improving consumer service in a dual-channel retailing

In recent decades sustainability and dual-route retailing have been adopted by many big industries. Companies are now bound to maintain such strategies that fulfill the sustainable goals developed by the United Nations. Industries face a huge penalty if carbon emissions exceed a certain boundary. Moreover, factories should maintain sufficient flow in retail chains and product quality. This paper demonstrates 3-pillar sustainability in dual channel retailing, empowering firms to integrate the financial-economic pillar with the non-financial (environmental, social, and ethical) pillar. The core product is made available through the traditional channel and customized products are through online channels. The model is enabling the customers with customization provisions where they can influence the products. Thus, as a novel approach, the article incorporates a presumed threshold limit on the product's (standard and customized) selling price difference. Due to customization, a new product is developed which needs extensive quality checks. The study introduces an investment in checking the quality of the customized product which reduces the probability of customization defects exponentially. Additionally, current research adapts the carbon emission cost, penalties charged to a firm for overshooting the limit, and social costs in a smart supply chain. It also exemplifies that production is directly proportional to financial investments in meeting sustainability objectives. The numerical analysis reflects that as production increases, penalty costs decrease at a significant rate but after reaching optimal production penalty cost again starts to increase. It is observed that the downfall of penalty is 20% more for the single-channel than dual. Adaptation of the customization policy makes the retailing strategy more cost-effective. The model exemplifies that it is more economical to adopt dual-channel retailing compared to single-channel as there is approximately a 14.0625% reduction in total cost in dual-channel retailing. Moreover, an 80% improved quality is observed with a financial investment, which improves consumer satisfaction.     

Is the system reliability profitable for retailing and consumer service of a dynamical system under cross-price elasticity of demand?

Retailing strategy is one of the most crucial factors for industries. A proper retailing strategy can help to enhance consumer service and increase the industry's profit. An improved approach to retailing is suggested in this research to deliver superior customer service while maximizing profits in a dynamic system. The study analyzes a retailing strategy for a demand with cross-price elasticity upon the retail price. A product's cross-price elasticity and the system reliability are critical factors in retailing. Understanding the cross-price elasticity of demand between products helps retailers to make pricing decisions that maximize profits by maintaining demand. Imperfect products are produced due to an imperfect production system. The imperfect ones must be adjusted with some costs to make them perfect for better retailing. The system failure rate is crucial for retailing under cross-price elasticity of demand patterns. Production system reliability, cross-price elasticity of demand, and consumer service are all essential factors that can impact a company's success in the market. The production rate is considered time- and system failure rate-dependent. Contradictory to the literature, a dynamical system is proposed for improved retail management, which is solved using the Euler-Lagrange theory. Finally, one can achieve the expected maximum profit for this retail system with optimum selling prices for different products by reducing the system failure rate. Some numerical illustrations with graphical representations are provided to validate the current study. Numerical examples show that applying cross-price elasticity of demand for more than two identical products provides 35% more profit for the retail industry than a single type of product.     

Price competition between green and non green products under corporate social responsible firm

This article deals with a newsvendor inventory model in light of green product marketing of corporate social responsible firms. In this model, comparison between green and non green marketing is analyzed including subsidy and tax implementation by Government where the Government offers higher subsidy and lower tax to the green producer unlike the lower subsidy and higher tax to the non green producer. There is also price contest between green and non green producer as the demands of the products are dependent on sales price, carbon emission and corporate social responsibility index. Assuming the cost and profit parameters, an expected profit function of the systems is formulated and maximized analytically. Finally, numerical examples are illustrated to justify the proposed model.     

Price and quality decisions in a vertically-differentiated supply chain with an “Online-to-Store” channel

Because of the prevalence of “Online-to-Store (OS)” channel, customers can purchase differentiated products online and pick up in-store. We develop a Stackelberg game-theoretic model to study the impact of an OS channel on quality levels, demands, prices, and profits of a manufacturer and a retailer in a supply chain. We assume that the retailer acts as a Stackelberg leader, and the manufacturer acts as a Stackelberg follower. The manufacturer produces and sells two products with vertically-differentiated quality levels to the retailer who in turn sells the products to customers through a Store channel, an Online channel, or an OS channel. The retailer incurs a handing cost if the OS channel is available, and consumers bear a shipping cost and a transaction cost when the products are purchased from the Online and Store channels, respectively. We find that the manufacturer should reduce both products’ quality levels and wholesale prices, whereas the retailer can increase the selling prices for a relatively small shipping cost and a not too small handling cost. When the products are available both online and in-store, however, the quality levels, wholesale prices and selling prices might increase for a small shipping cost and a not too small handling cost. Compared to the case in which both products are available online only with the OS channel, adding the Store channel is always beneficial for both parties. The intuition behind these results hinges on the trade-off between the handling cost and the increased market demand for the retailer. Moreover, the quality levels, the wholesale prices of both products, and the selling price of the low-quality product would decrease, while the selling price of the high-quality product increases for a sufficiently low transaction cost and a not too small shipping cost.     

Online marketing: When to offer a refund for advanced sales

Advance selling is a marketing strategy commonly used by online retailers to increase sales by exploiting consumer valuation uncertainty. Recently, some online retailers have started to allow refunds on products sold in advance. On the one hand this reduces the net advance sales, but on the other hand it allows a higher advance sales price. This research is the first to explore the overall effect of allowing a refund on profits from advance sales, identifying conditions where advance selling with or without refunds (or no advance selling at all) is best. We analytically compare the profits of three advance selling strategies: none, without refund, and with refund. We show that selling in advance and allowing a refund is optimal for products with a relatively small profit margin and small strategic market size, and that the added profit can be considerable. Our results guide managers in selecting the right advance selling strategy. To facilitate this, we graphically display, based on the two dimensions of regular profit margin and strategic market size, under what conditions the different strategies are optimal.     

Does Online Information Drive Offline Revenues?: Only for Specific Products and Consumer Segments!

While many offline retailers have developed informational websites that offer information on products and prices, the key question for such informational websites is whether they can increase revenues via web-to-store shopping. The current paper draws on the information search literature to specify and test hypotheses regarding the offline revenue impact of adding an informational website. Explicitly considering marketing efforts, a latent class model distinguishes consumer segments with different short-term revenue effects, while a Vector Autoregressive model on these segments reveals different long-term marketing response.We find that the offline revenue impact of the informational website critically depends on the product category and customer segment. The lower online search costs are especially beneficial for sensory products and for customers distant from the store. Moreover, offline revenues increase most for customers with high web visit frequency. We find that customers in some segments buy more and more expensive products, suggesting that online search and offline purchases are complements. In contrast, customers in a particular segment reduce their shopping trips, suggesting their online activities partially substitute for experiential shopping in the physical store. Hence, offline retailers should use specific online activities to target specific product categories and customer segments.     

Online and offline retailing: What we know and directions for future research

The fast-paced growth of e-commerce is rapidly changing consumers’ shopping habits and shaping the future of the retail industry. While online retailing has allowed companies to overcome geographic barriers to selling and helped them achieve operational efficiencies, offline retailers have struggled to compete with online retailers, and many retailers have chosen to operate both online and offline. This paper presents a review of the literature on the interaction between e-commerce and offline retailing, highlighting empirical findings and generalizable insights, and discussing their managerial implications. Our review includes studies published in more than 50 different academic journals spanning various disciplines from the inception of the internet to present. We organize our paper around three main research questions. First, what is the relationship between online and offline retail channels including competition and complementarity between online and offline sellers as well as online and offline channels of an omnichannel retailer? Under this question we also try to understand the impact of e-commerce on market structure and what factors impact the intensity of competition /complementarity. Second, what is the impact of e-commerce on consumer behavior? We specifically investigate how e-commerce has impacted consumer search, its implications for price dispersion, and user generated content. Third, how has e-commerce impacted retailers’ key managerial decisions? The key research questions under this heading include: (i) What is the impact of big data on retailing? (ii) What is the impact of digitization on retailer outcomes? (iii) What is the impact of e-commerce on sales concentration? (iv) What is the impact of e-commerce and platforms on pricing? And (v) How should retailers manage product returns across online and offline channels? Under each section, we also develop detailed recommendations for future research which we hope will inspire continued interest in this domain.     

The ramification of dynamic investment on the promotion and preservation technology for inventory management through a modified flower pollination algorithm

The dynamic rate of investment in promotion during different price-ranges and the optimum investment in preservation technology are developed for seasonable or fashionable products through their lifespan. An order level inventory model for deteriorating items with promotional price and trapezoidal-type demand rate is used to maximize the profit of a retailer. The deterioration rate is dependent on the preservation technology i.e., more investment in preservation reduces the rate of deterioration. The aim of this study is to obtain the optimum dynamic investment for the promotion. The optimal control theory is employed to obtain the dynamic investment rates. A modified flower pollination Algorithm is applied to find the optimal pricing scheme, preservation technology investment, and replenishment schedule. An illustrated algorithm based numerical experiment is conducted to validate the dynamic behaviour of the investment. Sensitivity analysis has been carried out with respect to the major parameters to prove the novelty of the algorithm and explored the managerial insights of the proposed model. Numerical studies obtain that dynamical investment is really beneficial for the management of stocks.     

Culture, product type, and price influences on consumer purchase intention to buy personalized products online

With personalization, consumers can choose from various product attributes and a customized product is assembled based on their preferences. Marketers often offer personalization on websites. This paper investigates consumer purchase intentions toward personalized products in an online selling situation.The research builds and tests three hypotheses: (1) intention to purchase personalized products will be affected by individualism, uncertainty avoidance, power distance, and masculinity dimensions of a national culture; (2) consumers will be more likely to buy personalized search products than experience products; and (3) intention to buy a personalized product will not be influenced by price premiums up to some level. Results indicate that individualism is the only culture dimension to have a significant effect on purchase intention. Product type and individualism by price interaction also have a significant effect, whereas price does not. Major findings and implications are discussed.     

The multichannel pricing dilemma: Do consumers accept higher offline than online prices?

Whether to unify or discriminate prices in offline and online channels is a controversial topic that can be central to whether offline retailers survive in the marketplace. Field data evidence from a large multichannel retailer reveals a sobering picture. On average, only offline price premiums of approximately 2% seem feasible, and such premiums vary largely by product categories and price levels. High-priced products, which consumers perceive as risky, tend to allow offline price premiums, as do low-priced, takeaway items. However, in between these two extremes, the results show no potential for offline price premiums. Drawing on price fairness theory, we further explore consumer responses to higher offline prices in three experimental studies. In contrast with the assumptions of price fairness theory, the provision of purchase advisory services and communication of the price motive hardly stimulate consumer acceptance of higher offline prices in our context. However, the findings reveal important heterogeneity in consumer responses depending on their market segment, because some market segments indeed respond less negatively to higher offline prices. In addition, consumers accept offline price premiums for unplanned purchases.     

Online Marketing: A Boon or Bane for Business in Singapore?

This paper examines the impact of e-commerce through online marketing among the multi-national corporations in Singapore. A survey was carried out to examine the differences between online and traditional marketing strategies, to explore the possibility of online marketing replacing traditional marketing, and consequently, the future of online marketing in Singapore. The findings reveal that MNCs do adopt different marketing strategies, both online and offline, in aspects of product, price, place, promotion, people, physical evidence and promotion. Results indicate that online marketing is still in its infancy in Singapore. Although most MNCs are not selling online but some plan to do so within twelve months.