Search results

This paper investigates the buy online and pick up in-store cooperation (BOPSC) of online and offline retailers. Specifically, this study solves the following questions: (1) What is the impact of BOPSC on their optimal price and sales volume of products? (2) When should an online retailer and an offline retailer conduct the BOPSC strategy with each other?

The paper first establishes two game models to explore the equilibriums of online and offline retailers in non-BOPSC and BOPSC. Then the condition for online and offline retailers to implement BOPSC strategy are determined. Furthermore, the applicability of the BOPSC strategy is enhanced by incorporating numerical analysis.

The study’s findings reveal that BOPSC strategy will not always beneficial to online and offline retailers, which depends on the total cost of online shopping and the product valuation of consumers. BOPSC strategy leads to the increase of prices and online orders, and the demand of offline retailer is eroded. Moreover, BOPS cooperation between different retailers is easier to achieve than omni-channel integration strategy. When the convenience difference between offline shopping and BOPSC pick-up is moderate, the effectiveness of BOPSC strategy can be improved.

This study has the following two main contributions: Firstly, the authors investigate the effects of BOPSC strategy on the prices of online and offline retailers. The study results show that the BOPSC strategy alleviates price competition and promotes a win–win situation between online retailers and offline retailers. Secondly, this paper mainly studies the cooperative behavior between online and offline retailers and reveals the optimal conditions for online and offline retailers to adopt BOPSC strategy. It can help small- and medium-sized online and offline retailers to choose suitable products for BOPSC strategy, so as to achieve the purpose of increasing profit.

The purpose of the study is to explore the role of affective commitment (AC) consumer empowerment on webrooming behaviour (WB) in a multichannel context of the fashion industry, with mediating (attitude [ATT]) and moderating (product involvement [PT]) effect. We used the stimulus– organism–responses theory as a theoretical underpinning.

We collected 307 responses from fashionable consumer who was purposed fashion products recently through convenience sampling approach and analysed the data with structural equation modelling and PROCESS macro.

The results illustrated that AC and consumer empowerment had a significant impact on consumer attitude and their WB. Likewise, consumer attitude had a positive mediating association between AC, consumer empowerment and WB. PI significantly moderated the relationship between ACs, consumer empowerment with attitude and attitude with WB.

This study is one of the new research works of its kind, which examines the role of AC and consumer empowerment on WB in the fashion industry. This study contributes to the growing amount of literature on fashion marketing by analysing the rapidly growing phenomena of WB in a multichannel context of the fashion industry.

Given that existing retail brand research tends to treat each level of a retail brand as a separate concept, this paper aims to unveil the holistic nature of a multi-level retail brand, considering the distinctiveness of each level and the interrelationships between the images of different levels.

This study uses a scoping review approach that includes 478 retail brand articles. Subsequently, a thematic analysis method is applied.

The brand attributes that shape the distinct image of each retail brand level encompass diverse intrinsic and extrinsic attributes. Moreover, the holistic nature of a multi-level retail brand is formed by the interrelationships between the images of different levels, which are reflected in the presence of common extrinsic attributes and their interplay at attribute, benefit and attitude levels.

Theoretically, this review provides conceptual clarity by unveiling the multi-level yet holistic nature of a retail brand, helping researchers refine and extend existing theories in retail branding, while also providing new research opportunities in this field. Practically, the findings could guide retailers in implementing differentiated branding strategies at each level while achieving synergy across all levels.

Single-shot multi-category clothing recognition and retrieval play a crucial role in online searching and offline settlement scenarios. Existing clothing recognition methods based on RGBD clothing images often suffer from high-dimensional feature representations, leading to compromised performance and efficiency.

To address this issue, this paper proposes a novel method called Manifold Embedded Discriminative Feature Selection (MEDFS) to select global and local features, thereby reducing the dimensionality of the feature representation and improving performance. Specifically, by combining three global features and three local features, a low-dimensional embedding is constructed to capture the correlations between features and categories. The MEDFS method designs an optimization framework utilizing manifold mapping and sparse regularization to achieve feature selection. The optimization objective is solved using an alternating iterative strategy, ensuring convergence.

Empirical studies conducted on a publicly available RGBD clothing image dataset demonstrate that the proposed MEDFS method achieves highly competitive clothing classification performance while maintaining efficiency in clothing recognition and retrieval.

This paper introduces a novel approach for multi-category clothing recognition and retrieval, incorporating the selection of global and local features. The proposed method holds potential for practical applications in real-world clothing scenarios.

The purpose of this paper addresses the issue of inconsistent findings regarding the impact of consumers' need for touch (NFT) on webrooming behavior. It investigates the moderator of maximization by drawing on maximizing mindset theory.

Three studies were carried out to test the hypothesized relationships. The first study investigated the impact of autotelic NFT on webrooming intention. The second study examined the impact of instrumental NFT on webrooming intention. The third study tested all hypotheses by the structural equation modeling approach.

The results confirm moderation by consumers' maximizing mindset. The moderated mediation analyses show that the interaction effect of autotelic NFT and maximization influences webrooming intention indirectly via anticipated sensory pleasure. Likewise, the interaction effect of instrumental NFT and maximization influences webrooming intention indirectly via product fit uncertainty.

The study draws on maximizing mindset theory to show that consumers' autotelic NFT and instrumental NFT drive their webrooming intentions depending on the activation of their maximizing mindset. The nonsignificant relationship between autotelic NFT and webrooming intention in the context of satisficers explains the conflicting findings reported in the literature. Consumers' affective and cognitive responses were also studied to uncover the underlying mechanisms of their webrooming intention. This research contributes to the literature by enhancing the understanding of webrooming behavior.

Building on Stimulus Organism Response theory, the current study examines the influence of Integrated store service quality (ISSQ) on the omnichannel customer experience dimensions (Cognitive, Affective and Relational), subsequently leading to their psychological ownership of the store, which eventually explains their Augmenting, Co-developing, Influencing and Mobilizing behaviors. The moderating role of omnichannel shopper perceived relationship investment in a few proposed relationships was tested.

The research is a descriptive, quantitative and cross-sectional investigation. A purposive sampling technique was used. It was conducted using data collected from 554 Indian omnichannel shoppers using a validated self-administered questionnaire. The proposed conceptual model was tested using PLS-SEM.

The results indicate that ISSQ positively impacts all three dimensions of omnichannel customer experience (cognitive, affective and relational). All three dimensions directly affect psychological ownership, eventually impacting their (Augmenting, Co-developing, Influencing and Mobilizing) engagement behaviors. The moderating effect of the omnichannel shopper, perceived relationship investment, revealed that it had a significant positive impact on the relationship between dimensions of omnichannel customer experience and psychological ownership of shoppers towards the store, which eventually fosters the customer–retailer value co-creation like engagement behaviors.

The study is conducted in the Indian population, where omnichannel retailing is still nascent.

This study addresses the need to investigate other dimensions (apart from cognitive and affective) of the omnichannel customer experience that might eventually influence various service firms' customer engagement behaviors. This study is the first to show that integrated store service quality might stimulate (Augmenting, Co-developing, Influencing and Mobilizing) engagement behaviors through customer experience dimensions and the customer's sense of belongingness to the store. The moderating role of omnichannel shoppers' perceived relationship investment in a few proposed relationships was tested.

Turn-taking is beneficial to conversational search success, but the increase in turns and time can also increase the cognitive load of the user. Therefore, in this research paper, the authors view conversational search sessions through the lens of economic theory and use the economic models of search to analyze the various costs and benefits of information-seeking interactions.

First, the authors built a cost-benefit model for conversational search sessions by defining action types and performing an intellectual mapping of actual sessions into sequences of these actions (using thematic analyses). The authors used the hypothesized cost and benefit actions (obtained from the user-system dialogs), along with the number of turns, utterances and time-related parameters, to propose the mathematical model. Next, the authors tested the model empirically by comparing the model scores to the user satisfaction and task success scores (collected through questionnaires). By representing each session as a bag of actions, the authors developed linear regression models to predict task success and user satisfaction.

Through feature analysis and significance testing, the authors identify the different parameters that contribute significantly to user satisfaction and task success scores. Error analysis shows that the model predicts task success and user satisfaction reasonably well, with the average prediction error being 0.5 for both (on a 5-point scale).

The authors' research is an initial step toward building a mathematical model for predicting user satisfaction and task success in conversational search sessions.

This paper aims to provide a research agenda for knowledge management (KM) scholars interested in the sharing economy.

A total of 342 articles published between 2012 and 2021 are analysed to identify the topics examined, how the sharing economy was conceptualized, the academic disciplines of authors and the methods used.

Based on the findings, research gaps and conceptualization issues relevant to KM scholars are discussed. Collaboration opportunities and methodological challenges are also identified.

By facilitating KM scholars’ engagement with the sharing economy, this paper contributes to a better understanding of this emerging phenomenon and helps uncover potential KM trends.

The objective of this research is to analyze how omnichannel consumer journey design (OCJD) influences the online customer experience (OCE) and e-satisfaction in consumers' multirooming behavior (searching for information in online and offline channels and purchasing the product online).

The problem-solving theory and experiential marketing perspective are the theoretical background that enables the establishment of five hypotheses. A survey is conducted on multiroomers who had purchased a product online, following an online and offline research journey.

The results showed that OCJD directly and indirectly (through online consumer experience) influences e-satisfaction. Females and younger individuals exhibited higher levels of e-satisfaction.

First, this research analyzes consumers' multichannel search strategies. Second, the consumer journey is incorporated into the study of multichannel retailing. Third, an emergent typology of cross-channel free-riding behavior is analyzed: multirooming.

Given the importance of the growing segmentation of ageing consumers and their increasing interaction with the Internet, digital marketing scholars are becoming more interested in this market. Prior research needs to pay more attention to this market in many contexts of digital marketing. This study aims to provide insights into ageing consumers’ content usage, content typology choices, and online brand advocacy (OBA).

Semi-structured interviews were applied, and 16 consumers from Southern Europe aged 55+ were included. The interviews were transcribed and examined following the principles of content analysis.

According to the research, older consumers display their usage and concerns regarding online content. They have different decision-making processes depending on whether they are purchasing products or services. Likewise, their choices of content typology vary based on the utilitarian or hedonic product category.

This study contributes to the literature by providing insights into this growing segmentation and proposing an OBA framework for older consumers related to content marketing. Finally, the study suggests that older consumers are passive online and active offline brand advocates.