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1 – 10 of 485Yingying Huang and Dogan Gursoy
This study aims to examine the interaction effects of chatbots’ language style and customers’ decision-making journey stage on customer’s service encounter satisfaction and the…
Abstract
Purpose
This study aims to examine the interaction effects of chatbots’ language style and customers’ decision-making journey stage on customer’s service encounter satisfaction and the mediating role of customer perception of emotional support and informational support using the construal level theory and social support theory as conceptual frameworks.
Design/methodology/approach
This study used a scenario-based experiment with a 2 (chatbot’s language style: abstract language vs concrete language) × 2 (decision-making journey stage: informational stage vs transactional stage) between-subjects design.
Findings
Findings show that during the informational stage, chatbots that use abstract language style exert a strong influence on service encounter satisfaction through emotional support. During the transactional stage, chatbots that use concrete language style exert a strong impact on service encounter satisfaction through informational support.
Practical implications
Findings provide some suggestions for improving customer–chatbot interaction quality during online service encounters.
Originality/value
This study offers a novel perspective on customer interaction experience with chatbots by investigating the chatbot’s language styles at different decision-making journey stages.
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Paula Rodríguez-Torrico, Rebeca San José Cabezudo and Sonia San-Martín
In the channel-mix era, the customer journey involves combining channels during all the stages of the decision-making process, such that creating and maintaining relationships…
Abstract
Purpose
In the channel-mix era, the customer journey involves combining channels during all the stages of the decision-making process, such that creating and maintaining relationships with consumers poses a challenge to retailers. This work aims to explore what role brands play in this issue by analyzing what impact the perceived benefits of brand channel-mix have on consumer self–brand connection (SBC) and what their effect is in enduring consumer–brand relationships (i.e. future channel-mix use and word of mouth [WOM]). This paper also explores the moderating role of product involvement in these relations.
Design/methodology/approach
The authors carried out a personal questionnaire with a sample of 288 consumers who were recruited after leaving one of the stores of a clothing brand that is a successful example of distribution channel management.
Findings
Insofar as consumers perceive channel-mix benefits, SBC will be higher and (or as a result) their future intentions with the brand will be more intense. In addition, the results show that product involvement moderates the relationship between SBC and channel-mix use intention and WOM.
Originality/value
This work contributes to channel-mix, relationship marketing, brand and product involvement literature by analyzing how customers may be retained in the channel-mix era through brand management and by considering product category involvement. This study merges brand and product variables to explore their impact on relationship marketing within channel-mix behaviors.
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Bernd F. Reitsamer, Nicola E. Stokburger-Sauer and Janina S. Kuhnle
Effective customer journey design (ECJD) is considered a key variable in customer experience management and an essential source of brand meaning and pro-brand behavior. Although…
Abstract
Purpose
Effective customer journey design (ECJD) is considered a key variable in customer experience management and an essential source of brand meaning and pro-brand behavior. Although previous research has confirmed its importance for driving brand attitudes and loyalty, the role of consumer-brand identification as a social identity-based influence in this relationship has not yet been discussed. Drawing on construal level and social identity theories, this paper aims to investigate whether effective journeys and the resulting overall journey experience are equally powerful in driving brand loyalty among customers with different levels of consumer-brand identification.
Design/methodology/approach
The present article develops and tests a research model using data from the European and US service sectors (N = 1,454) to investigate how and when ECJD affects service brand loyalty.
Findings
Across two cultural contexts, four service industries and 33 service brands, the results reveal that ECJD is a crucial driver of service brand loyalty for customers with low consumer-brand identification. Moreover, the findings show that different aspects of journey effectiveness positively impact the valence of customers’ experience related to those journeys – a process that is ultimately decisive for their brand loyalty.
Originality/value
This study is unique because it generates theoretical and practical knowledge by combining the literature streams of customer journey design, customer experience and branding. Furthermore, this work demonstrates that consumer-brand identification is a critical boundary condition to be considered in the relationship between ECJD and brand loyalty in services.
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Paula Rodríguez-Torrico, Sonia San-Martín and Rebeca San José Cabezudo
Consumer behavior has evolved because of technological development. Nowadays, consumers carry out the different stages of the decision-making process by combining multiple devices…
Abstract
Consumer behavior has evolved because of technological development. Nowadays, consumers carry out the different stages of the decision-making process by combining multiple devices which has been defined as multi, cross and omnichannel behavior. These behaviors have attracted the attention of academics and become a hot topic in literature. As a result, vast amounts of studies on the subject need to be revised and clarified. Thus, the aim of this chapter is to synthetize the primary academic literature that analyzes multi, cross and omnichannel behavior from the consumer point of view. To do that, first, the main concepts (multi, cross and omnichannel) and their differences are clarified. Second, the major findings of channel mix literature regarding the topics, channel scope and theories are exposed and described. Third, the opportunities and future lines of research are presented. This chapter contributes to the literature by clarifying the conceptualization of multi, cross and omnichannel behaviors; offering a complete picture of the main topics, channel approaches and theories addressed in channel mix literature; and presenting future research opportunities and open research questions in a channel mix context that could serve as a starting point to build further research.
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Paulo Botelho Pires and José Duarte Santos
Buying online has become a widespread and common activity for consumers, and, for many organizations, e-commerce has become a very profitable alternative to sell their products…
Abstract
Buying online has become a widespread and common activity for consumers, and, for many organizations, e-commerce has become a very profitable alternative to sell their products and services, also allowing them to leverage their strategy in new geographical markets immediately. Although the literature on the subject is comprehensive, there is a gap in identifying the holistic constructs that are the determinants of consumers' choice of an online store. This research resorts to an exploratory study, based on a nonsystematic literature review, seeking to identify these constructs. The results obtained allowed us to identify the following constructs: consumer behavior, customer experience, web content, catalog, terms and conditions, customer support, perceived value, trust, security and privacy, satisfaction, and loyalty. Customer experience, satisfaction, and loyalty constructs stand out from a strategic perspective.
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James W. Peltier, Andrew J. Dahl and John A. Schibrowsky
Artificial intelligence (AI) is transforming consumers' experiences and how firms identify, create, nurture and manage interactive marketing relationships. However, most marketers…
Abstract
Purpose
Artificial intelligence (AI) is transforming consumers' experiences and how firms identify, create, nurture and manage interactive marketing relationships. However, most marketers do not have a clear understanding of what AI is and how it may mutually benefit consumers and firms. In this paper, the authors conduct an extensive review of the marketing literature, develop an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships, identify research gaps and offer a future research agenda.
Design/methodology/approach
The authors first conduct an extensive literature review in 16 top marketing journals on AI. Based on this review, an AI framework for understanding value co-creation in interactive buyer–seller marketing relationships was conceptualized.
Findings
The literature review led to a number of key research findings and summary areas: (1) an historical perspective, (2) definitions and boundaries of AI, (3) AI and interactive marketing, (4) relevant theories in the domain of interactive marketing and (5) synthesizing AI research based on antecedents to AI usage, interactive AI usage contexts and AI-enabled value co-creation outcomes.
Originality/value
This is one of the most extensive reviews of AI literature in marketing, including an evaluation of in excess or 300 conceptual and empirical research. Based on the findings, the authors offer a future research agenda, including a visual titled “What is AI in Interactive Marketing? AI design factors, AI core elements & interactive marketing AI usage contexts.”
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Augusto Bargoni, Fauzia Jabeen, Gabriele Santoro and Alberto Ferraris
Few studies have conceptualized how companies can build and nurture international dynamic marketing capabilities (IDMCs) by implementing growth hacking strategies. This paper…
Abstract
Purpose
Few studies have conceptualized how companies can build and nurture international dynamic marketing capabilities (IDMCs) by implementing growth hacking strategies. This paper conceptualizes growth hacking, a managerial-born process to embed a data-driven mind-set in marketing decision-making that combines big-data analysis and continuous learning, allowing companies to adapt their dynamic capabilities to the ever-shifting international competitive arenas.
Design/methodology/approach
Given the scarcity of studies on growth hacking, this paper conceptualizes this managerial-born concept through the double theoretical lenses of IDMCs and information technology (IT) literature.
Findings
The authors put forward research propositions concerning the four phases of growth hacking and the related capabilities and routines developed by companies to deal with international markets. Additional novel propositions are also developed based on the three critical dimensions of growth hacking: big data analytics, digital marketing and coding and automation.
Research limitations/implications
Lack of prior conceptualization as well as the scant literature makes this study liable to some limitations. However, the propositions developed should encourage researchers to develop both empirical and theoretical studies on this managerial-born concept.
Practical implications
This study develops a detailed compendium for managers who want to implement growth hacking within their companies but have failed to identify the necessary capabilities and resources.
Originality/value
The study presents a theoretical approach and develops a set of propositions on a novel phenomenon, observed mainly in managerial practice. Hence, this study could stimulate researchers to deepen the phenomenon and empirically validate the propositions.
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This study aims to delve into the lived experiences, challenges and visions of women entrepreneurs in Jordan, placing a magnifying glass on those spearheading or co-pioneering…
Abstract
Purpose
This study aims to delve into the lived experiences, challenges and visions of women entrepreneurs in Jordan, placing a magnifying glass on those spearheading or co-pioneering start-ups. It aims to understand the myriad factors that influence their entrepreneurial journey, from motivation to the future of their niche.
Design/methodology/approach
Adopting a qualitative lens, this study is anchored in semi-structured interviews encompassing 20 Jordanian women entrepreneurs. Following this, thematic analysis was deployed to dissect and categorize the garnered insights into ten salient themes.
Findings
The study reveals that personal experiences and challenges are pivotal in directing these women towards niche markets, aligning with the theory of planned behaviour (TPB). Tools such as digital instruments, customer feedback and innovative strategies like storytelling and augmented reality are integral to their entrepreneurial success, resonating with the resource-based view (RBV). Additionally, challenges like cultural barriers and infrastructural limitations are navigated through adaptive strategies, reflecting the resilience inherent in these entrepreneurs. Networking, mentorship, embracing technological advancements and implementing sustainable practices are highlighted as crucial elements underpinned by the social identity theory (SIT).
Originality/value
Contrary to the extant body of research, this study provides new insights into the challenges faced by women entrepreneurs in Jordan, highlighting the practical relevance of theories like TPB, RBV and SIT for both policymakers and the start-up community in niche markets.
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Wagner Junior Ladeira, Vinicius Nardi, Marlon Dalmoro, Fernando de Oliveira Santini, William Carvalho Jardim and Debdutta Choudhury
Understanding the effect of assortment composition on attentional levels is an essential topic for academic researchers and practitioners. This work has important implications…
Abstract
Purpose
Understanding the effect of assortment composition on attentional levels is an essential topic for academic researchers and practitioners. This work has important implications when analyzing the influence of shopping frame time and search effort on the relationship between the reaction to assortment composition and visual attention to stock-keeping units (SKUs) pricing.
Design/methodology/approach
Two experimental studies through gauze behavior analysis technology (using eye-tracking equipment) analyze the variable's large assortment, visual attention to SKU pricing, search effort and shopping frame time.
Findings
The results suggest that, although it increases the search effort, a large assortment decreases the visual attention to SKU pricing. Further, our results indicate a moderating effect associated with mitigating the negative effect by medium-low levels of search effort and a moderating impact of time in this relation.
Practical implications
Marketing professionals can carefully optimize the in-store experience by managing the assortment and variety and by influencing consumers' visual attention to SKU pricing along the journey as part of the experience. Assortment and SKU pricing strategies need to be aligned with consumer journey design.
Originality/value
Our findings contribute to assortment theory and management by detailing the relationship between consumers' reactions to assortment perception and visual attention to SKU pricing in time flow. We reinforce the importance of considering assortment strategies from the consumer perspective and giving reliable information about in-store behavior.
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Mengjia Gao and Lin Huang
This study considers perceived enjoyment and attitude consistency as internal states of consumers in an omni-channel environment. This study aims to investigate the mediating role…
Abstract
Purpose
This study considers perceived enjoyment and attitude consistency as internal states of consumers in an omni-channel environment. This study aims to investigate the mediating role of perceived enjoyment and attitude consistency to reveal how omni-channel environment factors of interaction fluency, convenience, price advantage and personalization contribute to omni-channel shopping intention.
Design/methodology/approach
Consumers who had shopped at Uniqlo's online and offline stores were surveyed through an online questionnaire, and 566 data were collected for analysis through partial least squares structural equation modeling (PLS-SEM).
Findings
The results find that interaction fluency, price advantage and personalization positively affect perceived enjoyment, interaction fluency and convenience positively affect attitude consistency and perceived enjoyment and attitude consistency in turn facilitate omni-channel shopping intention. The mediating role of perceived enjoyment and attitude consistency was confirmed.
Originality/value
The original finding of this study is that factors such as interaction fluency, convenience, price advantage and personalization in omni-channel retailing require momentary and continuous affective states of consumers to facilitate omni-channel shopping intention, respectively. Therefore, this study considers the necessity of capturing different affective states of consumers in omni-channel shopping.
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