Mapping Out the Customer's Journey: Customer Search Strategy as a Basis for Channel Management

Many companies tailor their communication and interaction with customers by segmenting them into channel usage groups. This study argues that simply focusing on channels has limited effectiveness as increasingly customers today use multiple channels, the online channel contains many different forms, and channels are increasingly blended. We have identified several search strategies that reveal how customers find their way through a multichannel landscape during the various phases of a purchase. By explaining channel usage through these “search strategies,” we propose a clear and intuitive model that will support companies developing an effective multichannel strategy.     

Financial structure and the heterogeneous impact of monetary policy across industries

The two general channels by which monetary policy impacts output are the neo-classical cost of capital channel and the credit channel. This paper decomposes the output response to a change in the stance of monetary policy to each of these channels. We use a unique industry level data set that measures the financial characteristics of firms operating at the industry level through time. We bring these financial characteristics formally into the regression analysis, thus allowing for a more precise identification of the two channels. The evidence indicates that both channels are active in the Canadian economy.     

Information Search and Product Returns Across Mobile and Traditional Online Channels

Product returns will soon cost firms a trillion dollars annually; e-commerce appears more at risk for these costs relative to offline channels. Retailers thus need strategic insights into which factors increase customers’ return propensity and when the short-term costs of returns might be offset by future customer purchases. This article reports two studies that use transaction data from two large apparel e-tailers. Study 1 demonstrates that due to the differences between mobile and traditional online channels, consumers form a larger consideration set when they shop through mobile channels, and this distinctive search practice spills over onto return rates. That is, return rates are lower in mobile channels, and the use of the mobile channel also alters the effect of discount promotions. The findings in Study 2 suggest that future purchases by consumers, after a return, are contingent on category characteristics. In categories in which customers can easily learn from their previous return experience, product returns positively increase future spending, but the opposite is true in categories in which it is difficult to learn.     

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.     

Marketplace,reseller, or web-store channel: The impact of return policy and cross-channel spillover from marketplace to web-store

With the advent of e-commerce, new platform sales have been created in the online retailing industry, and choosing the best platform has become a challenge for manufacturers. For instance, marketplace and web-store are two e-channels for selling goods directly to end customers. In the marketplace, manufacturers sell their products directly to online customers through e-tailers' platforms and share revenue with e-tailers. In the web-store channel, manufacturers sell their products directly to end customers through their platforms and do not need to e-tailers' platforms. However, some manufacturers and e-tailers continue with reseller channel yet. Reseller channel is another conventional channel in which manufacturers distribute their products to e-tailers, then e-tailers choose retail prices and sell them to consumers. Therefore, with these three different channels, the key question is when and under what conditions manufacturers can choose marketplace or reseller channel in addition to their web-store channels to grow their market share. In this paper, we analyze these three different e-channels and the conditions that manufacturers adopt the marketplace or reseller channel. For this purpose, we consider a model with two manufacturers and one e-tailer in which the manufacturers have their web-store channels, and they are willing to adopt another channelـ reseller or marketplace. The manufacturers offer a return policy in their web-store channels as a competitive strategy for attracting more customers. We find that offering return policy in web-store channels has no effect on the choice between the marketplace and reseller channel, but it has an impact on the amount of manufacturers' profits in each channel. Also, we demonstrate that regardless of offering return policy, as the coefficient of cross-channel effect increases, the manufacturers' profits, whether they choose reseller channel or marketplace channel, increase. But, as the coefficient of cross-channel effect increases, the e-tailer's profit increases when both manufacturers choose reseller channel, otherwise decreases. If manufacturers offer a return policy, the e-tailer's profit is highest when both manufacturers choose reseller channel, and if they do not offer a return policy, the e-tailer's profit is highest when both manufacturers choose marketplace channel.     

Evaluating channel performance in multi-channel environments

Evaluating channel performance is crucial for actively managing multiple sales channels, and requires understanding the customers’ channel preferences. Two key components of channel performance are (i) the existing customers’ intrinsic loyalty to a particular channel and (ii) the channel's ability to attract switching customers. We apply the Colombo and Morrison (Colombo, R., Morrison, D., 1989. A brand switching model with implications for marketing strategies. Marketing Science 8, 89–99) model to assess channel performance along these dimensions. Using data from a large home-shopping company, we analyze the evolution in the performance of its main channels over time, and test for differences in channel performance among different product categories offered by the company, as well as between different customer segments. Based on the results, we derive implications for managers to operate a company's multiple sales channels more effectively.     

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.     

The impact of mobile app adoption on physical and online channels

The authors investigate the impact of customers’ mobile app adoption on grocery shopping behaviors. Specifically, they investigate the cannibalization of existing physical and online channels by the newly adopted mobile app and evaluate changes in households’ total expenditures at the focal chain. They find that households adopting the mobile app marginally decrease their spending in physical stores, but considerably increase their expenditures and shopping trips through the mobile app. They present evidence that the mobile app plays a synergistic role for customers who never used a digital shopping channel. Lastly, the authors find a competitive encroachment effect by the mobile app. They find the impact of mobile app adoption is greater in markets where the focal chain faces more intense competition from a nearby competitor.     

The multichannel customer’s service experience: building satisfaction and trust

Multichannel retailers dominate today’s retail landscape. Practitioners and researchers are particularly interested in understanding how the multichannel strategy helps establishing and developing relationships with customers. Our findings, from 302 customers of multichannel financial services firms, show that frontline employees’ customer facilitation behaviors (traditional channel) have a stronger impact on satisfaction than e-psychological benefits (derived from the company’s Web site), while their positive influence on trust is not significantly different. Implications for theory and practice are discussed.     

Does Trade Credit Affect Technical Efficiency? Empirical Evidence from Italian Manufacturing SMEs

Using firm‐level data from the Italian manufacturing sector, we investigate the relationship between small and medium‐sized firms technical efficiency and trade credit. Our contribution is twofold: we provide evidence on an open empirical question, and disentangle the channels through which trade credit may influence firms' efficiency. According to our findings, based on the Simar and Wilson (2007) procedure, trade credit seems to positively affect firm efficiency by mitigating financial constraints. Indeed, trade credit enhances efficiency especially for firms that are more likely to be financially constrained (i.e., smaller and/or younger firms) and during the most recent financial crisis.     

Corporate Social Responsibility and Its Impact on Firms’ Investment Policy, Organizational Structure, and Performance

This study examines the determinants of corporate social responsibility (CSR) and its implications on firms’ investment policy, organizational strategy, and performance. First, we find that firms with better performance, higher R&D intensity, better financial health, and firms in new economy industries are more likely to engage in CSR activities, while riskier firms are less likely to do so. We also find U-shaped relation between firm size and CSR, indicating that either very small or very large firms exhibit high levels of CSR strengths and concerns. Next, we find that firms’ CSR strengths relate favorably with their investments, organizational strategy, and performance, whereas CSR concerns and firm attributes are by and large negatively related. Using a 2SLS procedure, we verify that the CSR–performance relation is robust to corrections for endogeneity through reverse causation and/or biases introduced by time varying omitted variables. Finally, we find that the CSR–firm attributes relation is strengthened when the CEO’s incentives are below the sample median, suggesting that CSR participation is especially important when monetary incentives are lower than benchmark levels.     

On the Go: How Mobile Shopping Affects Customer Purchase Behavior

Mobile shopping (M-shopping) has become increasingly important in marketing and retailing. Using a unique dataset from an Internet-based grocery retailer, we evaluate changes in customers’ spending behavior upon adopting M-shopping, i.e., using smartphones or tablets to compose, modify, or place orders online. We find that order rate, i.e., number of orders placed per year, increases as customers adopt M-shopping. Especially for low-spending customers, both their order rate and order size, i.e., the amount of the order in dollars, increase as they become accustomed to M-shopping. In addition to the effect on customer's spending behavior, we also find that M-shoppers tend to use mobile devices to shop for habitual products that they already have a history of purchasing. We propose that customers utilize mobile devices because the technology provides convenient access, which leads them to incorporate M-shopping into their habitual routines. Managerially, we recommend that firms should fully leverage their mobile platforms, but they should also keep in mind that mobile devices may not be the most optimal channel for launching new products or promoting products that require more consideration during the buying process.     

Multichannel customer journeys and their determinants: Evidence from motor insurance

This study focuses on channel choices in motor insurance. Our aims are twofold: to fill a gap of empirical studies on the determinants of multichannel behavior in the insurance industry and to help companies improve their retail strategies by better predicting customers’ channel decisions. The paper adopts a broad set of personal and digital channels and several dimensions of customer profiling, including psychographic and channel-experience variables. We identify four different customer journeys, based on channel combinations. Our web-based survey, which has turned out 338 valid responses, shows that the majority of insurance customers adopt multichannel search behaviors. However, although most of the search is carried out through digital media, such channels generate low search-to-purchase conversion rates. Most customer journeys are, instead, finalized in the personal channels (namely, the insurance agents), thus evidencing an interesting webrooming effect. We test our set of hypotheses on the determinants of customer journeys with a multinomial logistic regression. Our findings show that multichannel journeys can serve several purposes: they may reflect the customer need to collect more information, the customer preference for shopping innovation, and his/her preference for shopping convenience. Corporate channel management strategies and practices shall consider such determinants and be revised accordingly.     

Customer Channel Preferences in the Finnish Banking Sector

Abstract

This research examined a survey of 3,000 and indepth interviews of 30 financial customers who provided information regarding their usage of, and attitudes towards, financial distribution channels. Improvements in technology are facilitating the development of alternative delivery methods and channels, and this paper examines the implications both for customers and for banks. This study looks at customers' behavior and links it with their usage of financial distribution channels to determine if there are particular behavioral segments of customers who exhibit similar patterns of access to financial services. This should enable financial institutions to more efficiently market their delivery of financial services.     

The Effects of Search-Related and Purchase-Related Mobile App Additions on Retailers’ Shareholder Wealth: The Roles of Firm Size,Product Category,and Customer Segment

Mobile channel additions have been shown to increase consumer-brand relationships, brand satisfaction towards and overall purchasing from a retailer, but what is less apparent is whether shareholders are fully rewarded for retailers’ mobile channel additions. Results from an event study on 115 announcements relating to mobile app additions of publicly traded U.S. retail firms between 2009 and 2016 indicate that the stock market responds generally positively to mobile app additions, but specifically to the two mobile app addition types. Stock market responses to search-related and purchase-related app additions are moderated by firm size, product category, and target customer age. For announcements of search-related apps, the market responds more positively to product retailers than to service retailers, and to small firms than large ones. For announcements of purchase-related apps, the market responds less positively to firms that target younger customers than firms who do not especially target them.     

Succession financing in family firms

Business succession is one of the primary management challenges for family firms. However, many family firms fail at this task because of financial issues. Although a vast number of studies have investigated the succession process, research thus far has failed to determine how and why family firms select particular forms of financing for succession-related expenditures. Accordingly, this study conceptually and empirically investigates succession financing. We introduce a conceptual framework that investigates the reasons behind an owner-manager’s intent to use debt for succession financing. Specifically, our model accounts for general and succession-related personal factors. However, we also include a set of firm-specific financing behavioral controls in our research. The empirical results are derived from a sample of 187 German family firms, and the results highlight financial knowledge, attitudes, succession experience, and succession planning as significant determinants of the owner-managers’ debt usage intentions. The implications and avenues for future research are discussed.     

我国货币政策传导机制现状及疏通对策研究——基于稳健货币政策背景

在稳健货币政策背景下,我国货币政策传导机制仍然存在传导渠道效率评判标准缺失、传导机制受阻后货币政策效率偏低、金融市场欠发达对传导渠道疏通能力较低等问题。应采取完善货币政策框架和利率传导渠道、强化货币政策工具定价和结构性调节功能、发展资本市场以拓展融资渠道、强化金融监管保持货币政策独立性等措施,努力疏通我国货币政策传导机制。     

Green Microfinance in Europe

As global warming continues to attract growing levels of attention, various stakeholders (states, general public, investors, and lobbyists) have put climate change on corporate agendas and expect firms to disclose relevant greenhouse gas (GHG) information. In this paper, we investigate the consistency of the GHG information voluntarily disclosed by French listed firms through two different communication channels: corporate reports (CR) and the Carbon Disclosure Project (CDP). More precisely, we contrast the amounts of GHG emissions reported and the methodological explanations provided (named ‘traceability’) in each channel. Consistent with a stakeholder theory perspective, we find that GHG amounts are significantly lower in the CR than in the CDP. We also find that firms increase the CR figures’ traceability when there is a discrepancy between disclosures in the two channels. We suggest that the aim of this greater traceability is to enhance information credibility across the different channels used.     

Financial Constraints and Small and Medium-Sized Firms’ Export Propensity: Evidence from Portuguese Manufacturing Firms

The internationalization of firms through exports is often crucial to their survival and growth in this era of globalization. This is particularly the case for small and medium-sized enterprises (SMEs) operating in small and saturated markets, as is the case in Portugal. However, firms face several barriers to exporting, and this study aims to verify whether financial constraints influence a firm’s export propensity. The empirical analysis is based on a sample of 12,732 Portuguese manufacturing SMEs during the period 2008–2012, and tests two different proxies of financial constraints: the liquidity and leverage ratios. The results indicate that the SMEs in less healthy financial positions are less likely to export than the others are, although the impact of financial constraints on these Portuguese firms appears to be relatively small.     

How does customer recognition affect service provision?

We examine how channel members’ ability to recognize repeat and new customers affects service provision, profits, and welfare. In decentralized channels, when only retailers can recognize customers, customer recognition increases service levels. However, in centralized channels or decentralized channels when both manufacturers and retailers can recognize customers, customer recognition reduces (increases) service levels if service investment persists (diminishes) sufficiently over time. Moreover, in centralized channels, customer recognition reduces firm profits and consumer surplus, whereas in decentralized channels, when manufacturers and retailers can recognize customers, customer recognition increases channel members’ profits but decreases consumer surplus.