Search results

For consumers, cross-channel behaviour is increasingly prevalent. Such behaviour involves consumers actively engaging in (and deriving benefit) from one channel during a product search but switching to another channel when making a purchase. Drawing on multi-attribute utility theory, this study proposes a cross-channel behaviour typology consisting of three key aspects: channel choice behaviour, functional and economic outcomes and consumer-specific psychographic and demographic variables.

Segmentation analysis conducted via latent class analysis (LCA) was performed on a sample of 400 US consumers collected via an online survey.

Cross-channel behaviour is not always intentional. We identify a specific segment of consumers that most often engage in unplanned, rather than intentional, cross-channel switching. We find that of all shoppers that engage in cross-channel behaviour, a fifth (20%) are forced to switch channels at the point of purchase.

Cross-channel behaviour can be mitigated by retailers via a deep understanding of the driving factors of different configurations of showrooming and webrooming.

In contrast with existing conceptualisations, this study suggests that cross-channel behaviour often stems from consumers being “forced” by factors outside of their control, but within the retailers' control. This research presents a nuanced approach to decompose consumer cross-channel behaviour from the consumer perspective as planned, forced or opportunistic.

Purchasing behaviour across traditional retail and internet routes to market is becoming increasingly integrated. The positive and negative consequences of such behaviour for multi‐channel businesses have not been thoroughly examined – while an offline retail presence may reassure customers purchasing from an online channel, poor service online may negatively influence customer usage of an offline channel. This paper aims to address this issue.

A questionnaire survey of the online customers of four companies is employed and structural equation modelling used to investigate influences of demographic and behavioural variables (purchase involvement, loyalty, experience with the internet, company and product‐type) on positive and negative cross‐channel behaviour (CCB).

Strong evidence for both positive and negative customer CCB is found. Females, higher purchase involvement, higher loyalty and those with more experience of the company were more likely to display positive CCB; higher education, experience with the product type and online channel negatively influenced positive CCB. Increased age, education, occupation/class and purchase involvement lead to more negative CCB; product and company experience lead to reduced levels of negative CCB.

As a first step towards understanding of customer CCB the research generates many insights; however, more research is required to explore in more depth each of the constructs discussed and measured.

Understanding how different customer groups display different tendencies for CCB can help companies shape fulfilment and delivery strategies across different channels to market.

The study makes contributions to customer cross‐channel customer behaviour, developing implications for future research as well as management practice.

The purpose of this paper is to propose and empirically test a model encompassing antecedents of webrooming, an emerging shopping behaviour in omnichannel retailing. This study delineates the impacts of shopping motivation, perceived channel-related benefits and costs on webrooming intention.

A questionnaire-based survey was conducted using a purposive sampling technique. A total of 300 responses were collected, and data were analysed using Partial Least Square Structural Equation Modelling.

Shopping motivation, such as efficiency shopping and bargain hunting, negatively influenced webrooming intention. Immediate possession positively influenced webrooming intention. With regard to perceived costs of webrooming, purchase effort and expected price loss negatively influenced webrooming intention. An additional exploratory analysis uncovered the moderating role of efficiency shopping.

This study provides empirical evidence for the antecedents of webrooming intention and expands the understanding of this emerging yet largely unexplored cross-channel behaviour.

Currently, the issues of cross-channel integration (CCI) have become the attentive focus. However, little research based on institutional theory details the drivers of and obstacles to adopt CCI strategy. Combined with resource-based view (RBV) and institutional theory, this thesis studies the effect of institutional pressures on the manufactures' extent of CCI, through exploring the moderating effects of firm's technology competence and relationship governance capabilities on the relationship between institutional pressures and the extent of CCI.

The survey data of 249 valid research samples were obtained from Chinese manufacturing enterprises. Statistical software such as SPSS 22.0 and AMOS 18.0 was used to analyze the data and test the conceptual model and relevant research hypotheses from an empirical perspective.

The results of empirical study from 249 manufacturers indicate that the mimetic, coercive and normative pressures perceived by enterprises can significantly promote their extent of CCI; relationship governance capabilities attenuate the positive impact of mimetic pressures on the extent of CCI, but strengthen that of normative pressures on the extent of CCI; besides, technology competence can attenuate the positive effect of mimetic pressures on the extent of CCI, but enhance that of normative pressures on the extent of CCI.

Few studied the impact of the interaction of internal capabilities and external institutional pressures on CCI of enterprises. This study combines institutional theory and resource-based view to fill the theoretical gap in this regard.

Digital technology is revolutionizing insurance distribution allowing the insurer companies to reach customers via multichannel. The aim of this study is to segment potential customers of life insurance based on their information search, purchasing channels and personal characteristics in the digital environment.

The study uses cross-sectional research survey. In total, 422 questionnaires were collected through a convenience sample of the Romanian population. The data was segmented based on consumer information touchpoints (online vs offline), purchase channel preference (offline by a professional vs online by a standardized platform) and personal characteristics (age, marital status and children).

The channel segmentation analysis revealed that information channel preferences are the most important clustering variables, followed by purchase channel preferences, marital status, having children and age. Four distinct segments were identified: young fully offliners (23.7%), mature fully offliners (31.5%), committed online searchers (23.2%) and cross-channel onliners (21.6%).

Insurance companies should adapt their communication and distribution strategy based on multichannel segmentation and should focus on digital touchpoints with costumers.

Firstly, the paper reveals multichannel and hybrid segmentation for life insurance. Secondly, it extends the already studied retail channels with search engines and companies' websites. Thirdly, it extends the behavioural variables for channel segmentation with technology acceptance behaviour, attitude towards life insurance, knowledge about life insurance, attitude towards personal selling and quality appraisal of online information sources.

As an increasingly popular tool for product exploration, online communities have an important impact on consumers’ purchasing decisions. The purpose of this study is to gain a deeper understanding of how visiting behaviors in online communities affect consumers’ offline purchasing behavior. The moderating role of two dimensions of consumer visiting behaviors (visiting depth and visiting breadth) also receives attention. Moreover, the impact of consumer visiting behaviors on offline sales for different types of online communities is also the focus of this paper.

To test the empirical model, the authors collected data on consumers’ visits to an online real estate platform with local housing sales data. In addition to the baseline regression analysis of the data with the help of Stata 17.0, the study also analyzes the robustness of the results through several methods.

The authors focus on an online community for newly-built housing and find that consumer visits to the focal online community have a positive impact on offline sales. Visiting breadth has a negative moderating effect on this relationship, and no statistically significant moderating effect is found for visiting depth. Further, our empirical exploration finds that consumer visits to competitive online communities have a positive impact on offline focal product sales, but visits to complementary online communities have no statistically significant effect on offline sales.

Our findings contribute to the understanding of consumers’ cross-channel purchasing behavior and provide new insights into how visiting behaviors in online communities affect consumers’ purchasing decisions.

The concepts of showrooming and webrooming have been well researched but majorly from the marketing/economic perspectives. The present study explores the socio-psychological motivations and different types of satisfaction derived from “cross-shopping” behaviour namely, showrooming and webrooming in a developing nation.

The study is exploratory and is conducted using an interpretive approach. The researchers conducted 52 in-depth interviews and the collected data were subjected to open and axial coding to generate the conceptual model.

The findings indicate various motivations of cross-shopping such a habit and the joy of discovery while novel aspects of satisfaction emerge such as process satisfaction and social satisfaction. The findings also revealed contextual moderators of the cross-shopping process.

The present study contributes to the domain of cross shopping behaviour by illustrating the social motivators behind the same and novel satisfaction outcomes because of the cross-shopping process.

The present study has multiple implications that would enable managers to effectively utilize cross shopping behaviour such understanding of satisfaction beyond those derived from the product only.

This is one of the first studies to investigate consumer behaviour related to cross shopping based on psycho-social dimensions.

The purpose of this paper is to investigate the topic of multi-channel retailing. Specifically, the research intends to determine if and to what extent the opening of physical stores by a former web-only retailer reduces or extends overall retail sales, and whether such effects tend to change over time. Empirical analysis focuses on data elaboration from a retailer who has passed from the initial mono-channel model (pure online), to a multi-channel one with the opening of stores.

Through the analysis of an internal data set of a leading consumer electronics retailer applying Probit and Logit estimation techniques, the authors extract information about actual customers’ purchases (or rather retail sales) in three newly opened stores and about online purchases (through an e-commerce web site managed by the same retailer with the same store brand) by people living in the new store service areas before and after the openings.

The paper shows that, for the single customer, the probability of purchasing online is reduced by the store opening in the short term, but tends to increase in the long term. Besides, results indicate that long-term synergy between the two channels depends mainly on indirect influence due to the mere presence of the store brand in the area rather than on the direct experience of shopping in the store.

The study highlights that channel portfolio enlargement from mono- to multi-channel retailing tends to activate a sort of life cycle; while in the early phase of store addition web sales tend to be cannibalized because the two channels are perceived as “substitutes” for each other, in the long run migration turns into a synergy effect; different channels tend to interact with and reinforce each other as customer touch points of the same retailer, in an omni-channel perspective.

The paper herein presents various original elements concerning types of available data (actual sales rather than consumers’ intentions/perceptions and individual level data rather than aggregate level ones), estimation technique used (binary choice model) and research hypotheses (distinguishing between “direct” and “indirect” synergy effects in multi-channel retailing).

Omnichannel retailing has changed the behaviour of consumers by empowering activities like showrooming which is the process of collecting product information in store then making the purchase online. Since individuals, particularly Millennials, interact with multiple touchpoints throughout their shopping journey, retailers must consider how these experiences influence purchasing behaviour. Literature regarding showrooming has focussed primarily on antecedents to the phenomenon and the negative effects to brick and mortar retailers, however limited studies have investigated the quantitative influence of showrooming from the consumers' perspective. While data show that interest in online shopping is spiking, a vast majority of retail sales are made in-store suggesting barriers to online shopping still exist. Thus, the purpose of this research is to identify the role of showrooming in decreasing risk in an online shopping context. Additionally, Millennial generational cohorts (MGCs) were proposed as moderators in exploring the differences between the dimensions of perceived risk and online shopping intention.

To explore the relationship between showrooming and MGCs online shopping behaviour an online survey was administered. Data were collected from 480 Millennial consumers at a large southwestern university. Multiple linear regression was used to determine the direction, magnitude and significance of relationships within the models.

Results from the analysis revealed showrooming and MGCs influence online shopping behaviour as it relates to dimensions of risk. Moreover, showrooming increased online shopping intention specifically in relation to product and financial risk.

This paper contributes to the relevant literature by proposing a relationship between showrooming and online shopping behaviour. This research provides evidence that Millennials are not a monolithic generation and consume differently.

The purpose of this paper is to report on exploratory research that aims to contribute to knowledge on online branding, and the way in which the online channel is being used to support brands. The focus of this research is the top multi‐channel UK fashion retailers.

Content analyses were performed on the web sites of a number of top fashion and clothing retailers, plus three supermarket chains with a strong presence in clothes retailing. An analysis of the extent to which the retailers were using their web site to provide online services and information provided a context for a more detailed analysis of online branding strategies, including communicating brand identity and presence, and building brand relationships.

Most top “non‐value” fashion retailers offer transactions through their web site, offering extended opportunities for brand engagement and experience. While all fashion retailers achieve consistency of visual identity between the online and other channels, their use of the online channel to communicate brand values, and to promote brand relationships is underdeveloped. There is evidence of some innovative practice, but also scope for considerable further development of the notion of online branding. Research into online and multi‐channel branding has a role to play in supporting this process.

This study makes an important contribution to the under‐researched area of online branding, through a study of the online branding activities of top multi‐channel UK fashion retailers.