The Impact of Mobile App Adoption on Cross-buying: The Moderating Roles of Product Category Characteristics and Adoption Timing

With more and more companies introducing mobile apps and consumers using them during the purchase journey, it is increasingly important to understand the consequences of app adoption on behavioral outcomes. This paper investigates the impact of app adoption on the number of additional products purchased by customers (i.e., cross-buying) and how this effect varies across different product categories and different customers. We focus on two key product category characteristics (utilitarian vs. hedonic nature and perceived risk) and on adopters who vary in their adoption timings (early vs. late adopters). Using data from an online retailer and a combination of propensity score weighting with difference-in-differences and Heckman correction estimation techniques, the results show that app adoption has a positive effect on cross-buying overall, but the effect varies greatly across products and consumers. App adoption promotes additional product purchases for hedonic products but leads to less cross-buying for utilitarian products. In addition, early adopters purchase a higher number of additional product categories than late adopters, with this difference decreasing over time and for new consumers compared to existing customers. These results offer novel insights into the behavioral consequences of app adoption and provide managers with useful recommendations for improving the effectiveness of their mobile app investments.     

Analyzing Customers' Switching Intentions in the Telecom Sector

ABSTRACT

Mobile Number Portability (MNP) has not only affected customers' behavioral patterns, but also increased competition among telecom operators. Against this backdrop, the study examines the relationship between customers' switching intentions and attitude towards MNP, customer loyalty, and switching barriers. It also investigates the impact of these intentions on actual switching or staying behavior of customers. Data were collected from a sample of 260 telecom customers comprising university students. Findings reveal that customers' switching intentions would largely depend upon switching barriers perceived by them. Switching intentions predict both actual staying and switching behavior. Our understanding of switching barriers is limited to those involved in switching from a current service provider to a new service provider. Future research can examine the barriers associated with returning to the original provider and the effect on the decision to leave in the first place, especially in the case of contractual agreements such as BSNL. The present study will help practitioners and telecom service providers in understanding the factors affecting customers' switching intentions to prevent switching.     

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.     

Should service firms introduce algorithmic advice to their existing customers? The moderating effect of service relationships

An increasing number of service firms are introducing algorithmic advice to their customers. In this research, we examine the introduction of such tools from a relational perspective and show that the type of relationship a customer has with a service firm moderates his or her response to algorithmic advice. Studies 1 and 2 find that customers in communal relationships are more reluctant to use algorithmic advice instead of human advice than customers in exchange relationships. Study 3 shows that offering customers algorithmic advice may harm communal relationships but not exchange relationships. Building on these findings, Studies 4, 5, and 6 examine how firms can mitigate the potentially negative relational consequences of algorithmic advice. While a fallback option that signals that customers can request additional human advice if needed is effective in preventing relational damages in communal relationships, this same intervention backfires in exchange relationships. These findings have important implications by showing that managers need to consider the relational consequences of introducing algorithmic advice to existing customers.     

Customer demotion in hierarchical loyalty programmes

Hierarchical loyalty programmes are popular in many service industries, as a means to tie customers to the company and improve customer relationships. In these programmes, customers obtain more benefits if they spent more but are demoted if they spent less. This study focuses on demotion and suggests that customer demotion can have an asymmetrical negative effect on customers' trust, commitment, and loyalty. The effect appears strongest for demoted customers with an external locus of causality. An experimental study also shows that customer loyalty is lower for demoted customers than for customers who were never elevated.     

Upgrade pricing, market growth, and social welfare

This paper studies the monopolist's dynamic pricing strategy when introducing successive generations of a durable product. We show that when consumers are semi-anonymous or exactly identified and the innovation is minor, the firm always offers an upgrade discount to former customers. However, the discount depends only on the quality of the old product. In contrast, for moderate and major innovations, the discount depends on the qualities and costs of both the old and the new products. The market growth rate affects the firm's pricing strategy only if consumers are anonymous; furthermore, the effect on prices depends on the discount rate and whether the market growth rate is high or low. For minor innovations, social welfare is maximized if consumers are anonymous. An interesting and paradoxical result is that, when innovations are moderate or major and consumers are semi-anonymous or exactly identified, price discrimination can actually lead to higher social welfare.     

How customers motive attributions impact intentions to use an interactive kiosk in-store

This study explores the effect of customers motive attributions that is, the motives customers ascribe to a retailer for introducing interactive kiosks into the store, on their expectations of the technology and usage intentions. We study two types of motive attribution: (1) to self-serve the retailer's own economic goals or (2) to better serve customers' needs. Data were collected at a do-it-yourself retailer that recently installed interactive kiosks. Empirical results demonstrate that customer-serving motive attributions improve intention to use, both via expected performance and via expected enjoyment. Our findings also demonstrate that customers expect the interactive kiosk to be less enjoyable when attributing self-serving retailer motives. Managerial implications are discussed along with direction for future research.     

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.     

One firm,one product,two prices: Channel-based price differentiation and customer retention

Every multichannel retailer must decide whether and how to apply channel-based price differentiation. This study identifies channel-related price differentiation instruments and considers their effects on customer retention. It empirically tests hypotheses using a laboratory experiment and analytically investigates feasibility conditions. Results show that channel-based price differentiation positively affects customers through perceived value but harms retention through price unfairness and limited self-determination. The mobile communications retailer in this study would require 5.1% lower operating costs online to ensure its profitability. These results indicate that multichannel retailers with channel-based price differentiation should carefully select their price instruments and meet the feasibility conditions.     

Mobile Marketing: A Synthesis and Prognosis

Mobile marketing refers to the two- or multi-way communication and promotion of an offer between a firm and its customers using a mobile medium, device, or technology. We present the conceptual underpinnings of mobile marketing and a synthesis of the relevant literature. We identify and discuss four key issues: drivers of mobile device/service adoption, the influence of mobile marketing on customer decision-making, formulation of a mobile marketing strategy, and mobile marketing in the global context. We outline research directions related to these issues and conclude by delineating the managerial implications of mobile marketing insights.     

Changing Perceptions and Changing Behavior in Customer Relationships

We formulate a theoretical model in which we postulate that if customers' behavior is perceived as not optimal, customers will adjust this behavior based on their current satisfaction and payment equity. Furthermore, customers will also include new experiences. In our empirical study we particularly investigate customer referrals and the amount of services purchased. Our results show positive effects of current satisfaction and payment equity on referrals, while also changes in satisfaction and payment equity affect customer referrals. With respect to the amount of services purchased, our estimation results reveal a positive significant effect of only changes in satisfaction.     

Exploiting Mobile Technology for Achieving Supply Chain Integration in Indian Retail

For decades supply chain coordination has been subject to research interest, and technology has been seen as an agent that accelerates this process. In developing countries, with far-flung markets and unorganized distribution networks, using technology for improving supply chain performances and accessing information is not an easy task. The research was directed to understand if mobile technology is being used by downstream supply chain partners for information sharing and thus improving supply chain performances. Findings suggest that supply chain integration with suppliers and customers is done through extensive use of mobile networks.     

Evaluating strategies for promoting retail mobile channel using a hidden Markov model

With the proliferation of mobile communication technology, many firms, including retailers and consumer banks, are making efforts to develop mobile platforms to better engage with their customers and reduce operational costs. However, the cost advantage of these mobile technologies will not yield fruition unless the mobile channel accounts for a significant share of total transactions. In this article, we explore potential options for firms to promote usage of the mobile channel. To achieve this, we propose a hidden Markov model to both model customers’ decisions and assess different managerial strategies through simulations. While we apply our proposed model to data from a leading financial institution, our approach is equally applicable to other retail settings. The results show that customers’ choices of services and channels are sensitive to process time by type of channel. A 10% increase in process time through non-mobile channels leads to a nearly 14% increase in utilization of mobile banking channel. Therefore, retailing firms could potentially influence customers’ choice of different channels by changing channel-specific process times. Motivated by these findings, we present and compare performances across five different policies, in promoting the usage of mobile channel. Drawing on our simulation results, we also make personalized policy recommendations to firms facing different levels of financial constraints. For those with financial constraints, we recommend a policy of increasing process time for a selected subset of service requests through non-mobile channels. Firms not constrained by the resources might be better off improving process time with the mobile channel by targeting customers identified as having a better relationship with the firm.     

Mobile Marketing in the Retailing Environment: Current Insights and Future Research Avenues

Mobile marketing, which involves two- or multi-way communication and promotion of an offer between a firm and its customers using the mobile, a term that refers to the mobile medium, device, channel, or technology, is growing in importance in the retailing environment. It has the potential to change the paradigm of retailing from one based on consumers entering the retailing environment to retailers entering the consumer's environment through anytime, anywhere mobile devices. We propose a conceptual framework that comprises three key entities: the consumer, the mobile, and the retailer. The framework addresses key related issues such as mobile consumer activities, mobile consumer segments, mobile adoption enablers and inhibitors, key mobile properties, key retailer mobile marketing activities and competition. We also address successful retailer mobile marketing strategies, identify the customer-related and organizational challenges on this topic, and outline future research scenarios and avenues related to these issues.     

Better or Worse? Effects of online promotion habits on customer value: An empirical study

Online frequent and uninterrupted price discounts easily cause customers to form general tendencies to purchase promotions, or ‘online promotion habits’. Compared with offline promotion shopping, the distinct features of online promotion shopping make customer behaviours highly changeable and leave the effects of online promotion habits on customer value a puzzle. Using a dataset of real transactions from a leading online apparel retailer in China, this study makes continuous observations of customers’ online promotion habits. Drawing on the behavioural learning theory, we empirically investigate the dynamic effects of online promotion habits on customer value. The results reveal that after customers form online promotion habits, their customer value increases significantly. Furthermore, among customers with online promotion habits, online promotion habits exert an inverted U-shaped effect on customer value. Namely, as online promotion habits strengthen, customer value increases accordingly, yet negative outcomes show if online promotion habits exceed a certain level. We discuss the theoretical and managerial implications of our findings, which will enable researchers and practitioners to measure and dynamically manage customers’ online promotion habits.     

Switching behavior of U.S. mobile phone service customers after providers shift from contract to no contract mobile phone service plans

The study examines the impact of the recent shift of the mobile phone service providers in the U.S., from contract to no contract mobile phone service offerings, on the switching behavior of customers in different age groups. Consistent with previous research, the findings ascertain that switching barriers related to relational benefits, availability and attractiveness of alternatives, service recovery and retention in the mobile phone industry are perceived differently by customers in different age groups. However, counter to previous research in the retail banking industry, the research finds that younger customers in the mobile phone service industry are more likely to perceive relational benefits, the effort providers exert to recover a service and are less likely to switch to other providers than older customers. The research findings have implications to theory and practice.     

For New Customers Only: A Study on the Effect of Acquisition Campaigns on a Service Company's Existing Customers' CLV

This study examines the effect of attractively priced acquisition campaigns on retention intention, and subsequently CLV, of existing customers. The main finding is that customers who are aware of the acquisition campaigns both have a significantly higher intention to stay and do actually stay longer than do customers who are unaware of these campaigns. However, since CLV is not only influenced by retention intention but also by revenues and costs, it is found that aware customers do not have a significantly different CLV than do unaware customers. The inclusion of attractiveness of the offer as an additional explanatory variable results in a positive effect of campaign attractiveness on retention intention, i.e. if the customer thinks the acquisition campaign is attractive, the retention intention will be higher. However, the effect that is found for intention cannot be directly translated in actual behavior.     

The influence of satisfaction on customer retention in mobile phone market

This study examines the determinants of customer satisfaction and customer loyalty in the Peruvian mobile phone market. Based in a survey to 1259 customers, Multinomial Logit and GSEM estimations show how determinants of customer satisfaction can be assessed when satisfaction is measured through ordered categorical data. The results confirm that in mobile phone market Customer Satisfaction influences strongly on Customer Loyalty, and in turn Loyalty is an important determinant of Customer Retention. In contrast with previous literature, this study identified the differentiated influence of diverse factors on positive and negative customer satisfaction categories. Indeed while results show that quality of service assessments made by customers had a significant impact on both negative and positive customer satisfaction categories; assessments of other service attributes like customer care, information on tariffs and plans and billing clarity, only showed a significant statistical influence on positive categories of customer satisfaction. Similar asymmetrical results were found with regard to other economic, socioeconomic and geographical determinants of customer decisions. As well, an analog effect is also observed in the relationship between customer satisfaction and loyalty, where only positive satisfaction assessments helps to explain the loyalty of users. Finally, results show that while satisfaction can be identified as a powerful cause of CR, switching barriers did not deter more demanding customers to switch to alternative carriers, suggesting that recent pro-competition regulatory reforms implemented in Peru contributed to reduce these barriers to competition in mobile markets.     

Decision Support in Virtual Organizations: The Case for Multi-Agent Support

The new economy, which is being formed by the Internet-based e-commerce and the now emerging mobile commerce, may become what Martin calls a cyber economy. This will combine traditional business with the new e- and mobile business, and will be driven by a new breed of online customers, who operate both wired and wireless networks, who will expect fast delivery, easier transactions and more fact-based information. The cyber economy requires that business is operated with virtual organisations and that decision making in this context – virtual organisations and the cyber economy – will require new and advanced forms of decision support. We have found that a useful decision platform can be built around hyperknowledge and the use of multiple software agents, if the core of these agents is built on fuzzy logic and approximate reasoning.     

Influencing factors of customer loyalty in mobile payment: A consumption value perspective and the role of alternative attractiveness

The rapid development of mobile payment has attracted many competitors and made customer retention a crucial issue for mobile payment service providers. This study examines the influencing factors of mobile payment loyalty from a multi-dimensional value perspective by extending and integrating the Cognitive-Affective-Behaviour (C-A-B) model and the Theory of Consumption Values (TCV). We also incorporate alternative attractiveness as a moderating variable to reveal the potential influence of the competitive market environment. This study collected 427 questionnaires from mobile payment users in China. The empirical study results show that customers’ loyalty is determined by satisfaction, and satisfaction is influenced by functional, emotional, epistemic, and monetary value. The findings also demonstrate that satisfaction has mediated the consumption values and loyalty relationship, and alternative attractiveness has weakened the influence of satisfaction on loyalty. This study shifts the focus in mobile payment research from adoption to the post-adoption stage and establishes a new research model by integrating two fundamental theories in explaining customer behaviour. Our study could guide mobile payment providers to cultivate customer satisfaction and loyalty by determining the values that are worth investing in their marketing strategies and help them notice and neutralise the weakening effect of competitor attractiveness.