Search results

This research investigates the novel questions of whether and how specific forms of shopping channels (online vs offline) influence consumers' decision-making. Moreover, this research investigates marketing firms' proper marketing strategies across different shipping channels.

The authors conducted three studies using a large sample (N = 703) recruited from a diverse pool (students and adults) that examined multiple products (camera and car) across different shopping channels (online vs offline). Study 1a (n = 251) and Study 1b (n = 252) examined the effect of an online versus offline channel on consumers' decision-making using a one-factor (shopping channel: online vs offline) between-subjects design. Meanwhile, Study 2 (n = 200) investigated the effective strategies that firms should employ across different shopping channels using a 2 (shopping channel: online vs offline) × 2 (mental simulation: outcome vs process) between-subjects design. Participants in the online condition evaluated the product on a computer screen, whereas participants in the offline condition evaluated the real product assuming a real-world retail store setting.

The three studies supported the predictions that shopping channels (online vs offline) affect consumers' psychological distance and, in turn, affect their decision process. Specifically, results reveal that the online (offline) channel increases (decreases) psychological distance and leads consumers to pay more attention to a product's desirability (feasibility) aspects.

Given that many firms sell the same products through multiple channels, the findings of this research offer insightful theoretical and practical implications.

Enterprises' multichannel operations provide various avenues for customer interaction; however, existing literature investigating customer-to-customer interaction (CCI) mainly focuses on a single channel. The purpose of this paper is to investigate the spillover effect of CCI and potential underlying mediating mechanisms in different information channels.

Three between-subjects experiments with 946 participants were employed to empirically validate the proposed hypotheses in the context of an experiential product and a material product.

Results suggest the clear spillover effect of CCI, indicating that positive CCI improves focal customers' satisfaction and purchase intention, whereas negative CCI reduces focal customers' satisfaction and purchase intention. Moreover, CCI's spillover effect varies based on the CCI channel. Offline CCI has a stronger positive spillover effect than online CCI. Contrarily, online CCI has a stronger negative spillover effect than offline CCI. Customer experience and trust are demonstrated to have mediating roles in this process.

This study is the first to comprehensively understand and compare the CCI spillover effect of the two information channels. The findings add to the existing knowledge of information processing in the psychological mechanisms influencing the belief in addition to providing insights for companies engaged in multichannel operations management across different channels.

This exploratory study aims to examine the prevalent triggers that motivate a premium brand purchase in an online vs offline retail format.

A binary logit analysis is used to build a predictive model to assess the likelihood of the premium brand consumer seeking an online or an offline platform. Demographic and usage-based profile of the two set of consumers is established through a chi-square analysis.

Three hundred and forty six urban consumers of premium branded apparels residing in two Indian Metros were studied. A predictive model with 89.6% accuracy was validated for distinguishing premium brand buyers who shop at brick-and-mortar store or online platforms. Quality and finish were factors sought by the online buyer, whereas autotelic need, pleasurable shopping experience and social approval were important triggers for an in-store purchase.

The study posits divergent demographics and motivational drivers that led to an online vs offline purchase. Though interesting and directional, the study results need to be examined across geographies and categories for establishing the generalizability of the findings.

The study findings indicate that premium brand manufacturers can devise an omni-channel strategy that is largely tilted toward the online platform, as the quality conscious and brand aware consumer is confident and thus open to an online purchase. The implication for the physical outlet on the other hand is to ensure exclusive store atmospherics and knowledgeable but non-intrusive sales personnel.

The study is unique as it successfully builds a predictive model to forecast online vs offline purchase decisions among urban millennials.

This paper explores the antecedents and consequences of consumers’ need for self-image congruence on their retail patronage of department (high-end) and discount (low-end) stores to purchase name-brand products in two product categories, apparel and home décor. It also compared online to offline shopping and considered two mediator variables, frugality and materialism.

The paper analyzed the hypothesized relationships using structural equation modeling (SEM) and MANOVA. Study 1 suggested the model using secondary data, and Study 2 measured and confirmed the relationships using scenario-based online survey data. An MANOVA test was used to compare the shopping behavior of consumers with high and low need for self-image congruence.

A strong causal link was found between concern with appearance and need for self-image congruence, and a positive relationship between need for self-image congruence and high- and low-end retail store patronage offline and online. While the group with high (vs low) need for self-image congruence was more likely to patronize department stores, unexpectedly, both the high and low self-image congruence groups were equally likely to shop at discount stores.

The findings suggest that marketing messages focusing on concern for appearance may succeed by tapping into consumers’ need for self-image congruence with brand product/retail store images. Results also showed that consumers with high self-image congruence often patronize discount retail stores, suggesting marketing opportunities for low-end retailers.

Because consumers with high need for self-image congruence patronize both department and discount stores, it is suggested that self-image congruity may be multi-dimensional. The current study is also the first to examine structural relationships to test patronage behavior between department and discount stores offline and online.

To date, there is a gap in the literature exploring the perceptions and experiences of law enforcement regarding enforcement of online and offline prostitution. The purpose of this paper is to investigate the perceptions of law enforcement in the USA regarding the safety and mobility of individuals who prostitute online compared to those who sell sexual services offline. The next section will explain the methodology of the exploratory study, including the method of original data collection.

All police departments in the USA located in a jurisdiction of 50,000 people or more were requested participation in the study (n=689). Respondents were sent an initial mailing of a cover letter and survey, followed by an e-mail reminder and a second mailing of a cover letter and survey. Individual respondents were asked questions about their own perceptions of behaviors and lifestyles of offline vs online prostitutes.

The majority of law enforcement respondents did not feel as if online prostitutes were safer compared to offline prostitutes. However, the majority of respondents did believe that online prostitutes are afforded a better lifestyle and are more mobile.

The majority of the respondents were from the Northeast and Southwest may mean that their perceptions could be different from those that are not located within either region. In addition, since almost 80 percent of the agencies were in a jurisdiction with a population between 50,000 and 249,000, this too may have influenced their perceptions. Law enforcement in a smaller or larger area may have felt differently or have had different experiences to report.

This study is very unique as to date, another study with the same methodology and question content was not found.

The purpose of this paper is to understand how two online marketing orientations of land-based retailers in product category and price could change retail brand attitude when retail brand familiarities differ.

This paper proposes a research model with two orientations in product category and price as antecedents of retail brand attitude change and retail brand familiarity as a moderator. Empirical data were collected from 684 shoppers across three land-based retailers to test the research hypotheses.

Both orientations in product category and price can improve customers’ retail brand attitudes. Retail brand familiarity plays a significant moderator in some of the situations. Online-offline product category congruence and online-prototypical price congruence have significantly positive effects on retail brand attitude change whether retail brand familiarity is high or low. The effect of online-offline price congruence is significant only among high-familiarity customers, while the effect of online-prototypical product category congruence is found to be significant only among low-familiarity customers.

The study identifies the moderating effects of retail brand familiarity on the relationships between two online marketing orientations in product category and price and retail brand attitude change. Based on the moderating effects, this study will help researchers to better understand the effectiveness of two online marketing orientations subject to varying degrees of retail brand familiarity in a multichannel retailing context.

The findings of this study can guide land-based retailers to focus on the right orientations in product category and price to improve customers’ attitudes toward the retail brand when existing or new customers are targeted.

This study provides a first study to empirically assess the change in retail brand attitude prompted by homogenous and prototypical orientations in product category and price and subject to varying degrees of retail brand familiarity. Overall, the results offer insights of how land-based retailers could manage their overall performance by designing more effective online product category and pricing strategies for existing or new customers.

Showrooming presents a complex and evolving challenge to retail managers, as it signifies the emergence of new forms of exchange rules. The purpose of this research is to investigate how factors responsible for information search and evaluation affect showrooming and also consider the consumer mindset as a moderator.

This research undertakes three experimental designs to investigate how the push (i.e. assortment size), pull (i.e. price discount), and mooring (i.e. sunk cost) factors influence consumers' showrooming intention. Specifically, consumers' maximizing tendency plays the role of moderator.

The results reveal that push, pull, and mooring factors are significantly related to consumers' showrooming intention. Furthermore, the findings show that maximizers have higher showrooming intention than satisficers in the context of the push, pull, and mooring factors.

By integrating the push-pull-mooring framework and the maximizing mindset theory, this research proposes a novel research model and the empirical testing results support six hypotheses. The findings add to the body of knowledge in showrooming behavior by taking consumer mindset into account. The results also provide implications for practitioners to develop their retail strategies.

The purpose of this paper is to examine how crowding without violating personal space influences consumers’ channel selection and the underlying mechanism of this process. Crowded environment is ubiquitous and affects consumers’ behaviors. However, less attention has been paid to whether and how crowding influences consumers’ preference for purchasing channels.

There were three studies to test the validity of the theorized model, including two laboratory experiments and a field study. The variance analyses and mediation analyses were used to give more insights into the analytical process.

This study proposes that crowding makes consumers lose their perceived control, leading them to form certain compensatory behavior through the conversion between online and offline purchasing channels – the type of goods moderates the process of compensatory behavior.

The results of this study are helpful for retailers to design effective strategies to allocate resources into online or offline channels and to choose the appropriate types of product to promote.

Environmental clues have been widely studied in previous marketing research. Crowding, as a common environmental clue, has only been noticed in recent years. This study examines the impact of crowding on consumers’ channel preference. The results of three studies have confirmed that consumers have higher preference for offline shopping when they are in a crowded environment and found the intrinsic mechanism and the marginal scenario of this process.

This research aims to investigate the moderating influence of both multichannel and multicompany usage on the impact that customer satisfaction has on share of wallet (SOW).

The data used in the analyses were collected as part of both survey and transactional data of 802 households of a large financial services provider. Within class regression models were employed to test the moderating effects of different segments that were identified based on multichannel‐multicompany customer differences.

The findings confirm that using multiple channels has an overall positive moderating impact on the satisfaction‐SOW link and that customer satisfaction matters more when the customer adopts multiple channels; online channel usage in addition to offline usage. Furthermore, this effect is even more pronounced for customers that transact with multiple providers. That is, the group of customers that use both the company's and competitors' offline and online channels reveal a higher satisfaction‐SOW association than the group of customers that only adopted the offline channel with the company and competitor.

This study broadens the understanding of multichannel behavior by comparing single (offline) and multiple channels (offline and online) for customers of multiple companies (two competitors).

The purpose of this research is to propose and validate a theoretical framework explaining web-rooming and showrooming as a multi-stage decision-making process. The authors have used consumer purchase decision-making theories to propose a model that identifies showrooming and webrooming as a combination of two decisions, channel choice during information search and channel choice during actual purchase. Further, the authors explored how various antecedents of showrooming and webrooming have differential effects on various stages of a purchase decision-making process and how product type moderates the relationships.

The authors have conducted empirical research, whereby 243 responses were obtained from a cross-sectional survey. The authors have used structural equation modeling and multiple regression analysis to validate our theoretical model.

Webrooming or showrooming is a multi-stage decision-making process for the consumers. First, consumers decide whether to search online or offline and then whether to buy online and offline. Different individual, purchase context-related and channel related factors impact these decisions. Product type governs which variables will be more important than others.

The research looks to enhance the understanding of the consumer's decision-making process during showrooming and webrooming while also helping retailers design and implement appropriate strategies that could affect consumers during information search and actual purchase.