Search results

This study aims to examine the positive impact of showrooming on the fashion retail business by examining the interrelationship between deal-seeking on mobile devices and digital coupon redemption intention on mobile shopping intention.

Purposive sampling was used to obtain data from 496 fashion apparel customers using the database of an online survey collection platform. Stimulus organism response (S-O-R) theory was used to examine the influence of showrooming on showroomers' mobile shopping intentions.

The findings suggest price consciousness is negatively related to showrooming and product involvement is positively related. In addition, showrooming affects the intention to redeem digital coupons and mobile deal-seeking. The intention to redeem digital coupons boosted mobile deal-seeking behavior. The impact of mobile deal-seeking on showroomers' mobile purchase intention is significant.

This research focused on fashion product consumers and generalization of the findings may be limited. The literature on positive effect of showrooming phenomenon on brick-and-mortar stores are scarce further extensive research may provide substantial generalization.

This demonstrates how showroomers may be successfully enticed to make purchases on the Brick-and-Mortar (B&M) store's online channel.

This study provides insights on navigating the showroomers into online channel 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 aim of this research is to advance the understanding of multi-channel behaviour in terms of different generational cohorts' usage and spending patterns.

Building on previous studies on multi-channel behaviour, differences in shopping channel usage and purchase amounts were investigated between baby boomers, Gen X, xennials and millennials.

There were significant differences found between the generations in terms of multi-channel behaviour regarding purchasing frequency and average purchase amounts via a) mobile phone, b) tablet, c) computer, d) social media and e) brick-and-mortar. Fewer differences were found amongst the generational cohorts in terms of amount spent per channel.

The research was successful in analysing variances in multi-channel behaviour amongst the baby boomer, Generation X, xennial and millennial cohorts, while updating the body of literature to consider generational channel usage of mobile and social media in multi-channel retailing.

Marketers should consider xennials’ channel behaviour and focus on converting sales through integrated programmes based on their channel usage. Retailers should also consider millennials' heavy engagement with social media in their lives but spend lower amounts via the medium, which may be an opportunity to use this medium as a viable stand-alone channel in targeting millennials' shopping dollars.

This study updates the body of research on multi-channel behaviour by considering generation as a factor in channel usage and spend amount.

To alleviate the effects of coronavirus disease 2019 (COVID-19) on the economy, Taiwan introduced a stimulus package in the form of triple stimulus vouchers. Despite intense promotion to opt for the vouchers in digital form, Taiwanese public overwhelmingly chose the paper form. This study considers the reasons that influenced their decision comfort in choosing paper rather than digital vouchers based on two categories: rational (promotion depth and ease of use) and behavioral economics factors (analysis paralysis, mental accounting related to ease of tracking expenses, social influence and payment habits).

Partial least squares (PLS) method was utilized to analyze survey information obtained from 183 individuals who chose paper vouchers.

Individuals consider rational and behavioral economic factors in their perception of decision comfort while choosing paper over digital vouchers. Decision comfort is driven more by behavioral economics than rational factors such as ease of use. Interestingly, analysis paralysis related to paper vouchers has the greatest impact, but it positively influences decision comfort, indicating that Taiwanese people view paper vouchers as a safe haven in the midst of uncertainties and information overload. Therefore, when designing public policies or promotional campaigns, possible behavior outcomes should be considered from both rational and behavioral economic perspectives.

This study provides insights into the dynamics of how individuals arrive at their decision of opting paper vouchers over digital ones and offers theoretical contributions related to system adoption and behavioral economics.

This study explores the importance of application search engine (ASE) technology in the omni-channel strategy. For this purpose, this chapter firstly explains the concepts of the omni-channel and the search engines and the importance of them. Then, omni-channel in the framework of ASEs is discussed. Finally, recommendations for further researches are presented.

In addition to data transforming the insurance sector from within, insurance consumers and their behaviour has transformed significantly over the past 20 years from traditional retail to, predominantly, online trading. Data are a fundamental part of how the sector operates, and the use of data in insurance is constantly evolving. This paper aims to explore consumer perceptions about digital privacy and their subsequent motivations to disclose personal data for insurance purposes.

The study uses an exploratory research approach based on in-depth interviews to generate metathemes to provide an understanding of consumer perceptions about digital privacy and data sharing in the insurance sector.

Consumers were extrinsically motivated to disclose data by financial reward and convenience; however, subsequent intrinsic motivations may be an influence on the initial motivations. Consumers perceived transactions as “fair” if they received the expected rewards, retained control of the data, and the data was not unilaterally used to their detriment. Concern for privacy was generally low, provided antecedent conditions were met.

As the study uses an exploration for discovery approach, the main limitation of this study is its small sample. However, this research aimed to identify metathemes and issues that may be the focus of future research in this area and is, therefore, not proposing to suggest strong conclusions and definitive answers.

This paper presents the first empirical research to examine data privacy issues in the UK insurance context. It contributes to knowledge in the areas of motivation, applied ethics and online consumer behaviour in general.

The purpose of this paper is to understand antecedents of app-based shopping in an Indian context. The paper has used unified theory of acceptance and use of technology (UTAUT) 2 model for examining the impact of various constructs on behavioral intention and usage behavior of smart phone users toward the mobile shopping apps.

The constructs were tested and validated by means of a structured questionnaire which was administered on a sample of 350 mobile app shoppers in Delhi. AMOS 20 was used to analyze the collected data.

The study revealed that hedonic and habit are the strongest predictors of users’ behavioral intention to use mobile apps for shopping. Respondents are also influenced by the deals that are being offered by the marketers. The research also suggests that facilitating conditions help in usage of mobile apps for shopping.

Managerial implications simplifying the interface which would encourage the less technologically advanced individuals to use mobile apps. Hedonic element of shopping through mobile apps should also be enhanced.

This study contributes to the research on intentions and usage behavior of consumer technologies by adopting UTAUT 2 model to explain the intentions and usage behavior toward mobile apps for shopping. The paper also measured the role of deals in influencing the consumers.

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.

The pace of booking is a critical element in the accuracy of revenue management (RM) systems. Anecdotal evidence suggests that booking windows exhibit persistent shifts due to a variety of macro and micro factors. The article outlines several causes and tests the impact of the shifts on forecasting accuracy.

A novel methodological approach is utilized to empirically shift hotel reservation windows into smaller increments. Forecasts are then estimated and tested on the incremental shifts with popular RM techniques characteristic of advance booking data. A random effects model assesses the impact of the shifts on forecast accuracy.

The results show that shifts in booking behavior can cause the accuracy of forecasting models to deteriorate. The findings stress the importance of considering these shifts in model estimation and evaluation.

The results demonstrate that changes in booking behavior can be detrimental to the accuracy of RM forecasting algorithms. It is recommended that revenue managers monitor booking window shifts when forecasting with advanced booking data.

This study is the first to systematically assess the impact of booking window shifts on forecasting accuracy. The demonstrated approach can be implemented in future research to assess model accuracy as booking behavior changes.

The present study aims to understand small retailers' current use of various low-cost technologies and the factors responsible for small retailers' adoption. Furthermore, these factors of adoption were mapped back to beliefs within the theory of planned behaviour (TPB), and an attempt was made to understand if some of the beliefs dominated over the others and their implications.

The study takes a qualitative approach comprising in-depth semi-structured interviews and direct observation. The qualitative data were analysed through a thematic analysis to identify technology adoption factors.

Amongst the various technologies (mobile apps), payment and procurement apps were the most widely used. The authors identified eight factors influencing technology adoption: the top being customer demand for payment apps and convenience and cost-saving for procurement apps. The study also highlights the role of the dominant beliefs in technology adoption, which managers could use to improve adoption rates.

The current study is a cross-sectional study and the sample was predominantly of grocery retailers, limiting the generalisability of the results.

Small retailers face stiff competition from organised retail and e-commerce platforms which threatens small retailers' existence. Small retailers' survival is vital as many people depend on the small retail sector for livelihood. Increased use of technology seems the only way for them to stay competitive and increase profitability. The study's outcome could help increase technology adoption amongst small retailers and increase small retailers' competitiveness.

Despite the widespread presence of small retailers in emerging economies, few studies have examined technology adoption amongst them. This study is also the first to use the TPB theory in the small retailer technology adoption context.