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The purpose of this paper is to examine the customer decision-making journey of high involvement female fashion consumers in the context of omnichannel fashion retailing.

The research is qualitative in nature, using a multi-method approach consisting of focus groups, semi-structured interviews, online diaries and follow-up interviews, with grounded theory applied to analyse the data.

The results of the study include a framework to outline the stages of the omnichannel customer decision-making journey for young high involvement female fashion consumers. The findings also reveal that an omnichannel decision-making journey is the one that predicated on risk and that consumers employ specific strategies to avoid such risks.

Due to the nature of this research, the sample size is limited and may not be generalised. Data collection was confined to Manchester, UK.

Customer journey mapping enables practitioners to view the entire shopping experience through the eyes of the customer and enables retailers' fault-find issues within the customer and brand experience.

The paper advances knowledge about fashion and consumer behaviour. The customer decision journey framework maps the emotional experiences, devices and channels encountered by high-involvement fashion consumers across each stage of the omnichannel journey.

The shopper journey can cross a number of channels leading up to the point of a possible purchase, which may be unseen by the retailer or brand for the targeted purchase. The purpose of this paper is to gain a greater understanding of the decision making and purchase intention activity for online Millennial shoppers in deciding what fashion garments to buy in the digital retail environment. The paper also investigates the use of technology and social media involvement in the shopper journey leading up to the point of purchase.

In line with other studies that investigated online shopper behaviour (Balabanis and Reynolds, 2001; Pavlou et al., 2007), the authors have undertaken an exploratory investigation using an online survey conducted with respondents sourced through using Survey Monkey Audience. The survey was conducted with over 580 respondents (49.7 per cent female and 50.3 per cent male) between 16 and 34 years old living in England.

The findings highlight a picture of shoppers going on very different shopper journeys with different lengths, influenced by different touch points and using different media and devices. Each customer has their own individual experience and expectation. They can move through extremely diverse, long and complicated journeys in the buying process before they purchase a product. Most striking is their willingness to reach out and be influenced by other people beyond the control of any retailer – using platforms that are not necessarily specifically related with any retailer. Shoppers can undertake numerous activities before they make their final purchase decision, seeking content from different retailers, asking for social validation of their decision from their social networks both online and offline which is often out of sight of the retailer or brand.

The findings show how retailers and brands can understand the shopper decision journey and their behaviours across all the devices and channels that are used. Moreover, for some or part of the digital journey the shopper can often be unseen by the retailer or brand.

Consumers actively seek out novelty, knowledge and inspiration but shoppers employ a variety of interactions over a much greater period of time to arrive at the moment of purchase. This research provides an insight into the range of complex views and positions held by each individual to get a much more complete picture of where shoppers are looking to buy and what are their interests.

This paper aims to define and frame the understanding of customer journeys, associated areas of consumer decision-making process stages and touch point categories based on an ownership perspective.

The research is based on a detailed literature review of customer journeys, in peer-reviewed marketing and retail journals, within the last decade. The Chartered Association of Business Schools (ABS) academic journal guide marketing discipline list was used because it only includes peer-reviewed journals, based on an internationally accepted quality ranked list.

The detailed analysis of the journals identified three groups of touch points (brand owned, partner owned/managed and outside the control of brand owner/partner) and three decision-making process stages (pre-purchase, purchase and post–purchase) that informed a clearer definition and understanding of the customer journey.

Limitations concern the ABS database was used and a ten-year date period was selected, which may exclude some relevant journal articles, particularly those written in a language other than English.

The authors have provided a revised definition of customer journey, clarified the decision-making stages and subsequent categorisation of touch points from an ownership perspective.

Service branding research predominantly focuses on the purchase and postpurchase stages of the customer journey. This study aims to expand the lens of enquiry to the prepurchase stage, showing the role service brand awareness and service brand retrieval play before customer experiences and relationships can be established.

The research presents and empirically examines a new framework that links service brand awareness and service brand retrieval to key “battlegrounds” in the prepurchase stage of the customer journey: entry into the Awareness Set, Consideration Set and Repertoire Set. The empirical work draws on data from both services and goods markets from two UK-based consumer surveys (N = 771 and N = 270, respectively).

The findings indicate that, prepurchase, service brands compete most intensively to establish and reinforce a broad array of memory associations, rather than a specific corporate or brand image.

To improve the generalizability of the conclusions drawn, the findings of this study should be replicated in additional service categories and consumer samples.

The findings translate into novel, long-term strategies for the management of service brands at the prepurchase stage of the customer journey, especially opportunities for effective and creative marketing communications.

This study contributes to marketing research and practice by introducing the notion of service brand retrieval and highlighting its role, together with service brand awareness and prepurchase.

The purpose of this study is to explore “how social media influence the way consumers search, evaluate and select a hotel within the ‘evaluation stage’ of the wider hotel decision-making process”.

An exploratory qualitative research has been carried out, conducting 12 individual face-to-face, semi-structured, in-depth interviews with social media users, followed by a qualitative thematic analysis.

Social media transform the consumers’ hotel decision journey by influencing the way consumers search, decide and book hotels. The findings reveal the determinants shaping this process, by shedding light on the perceived value of using social media, consumers’ information search behaviour “then and now”, the advantages and disadvantages of social media use for decision-making, their trustworthiness and the factors that influence the consumers’ hotel decision-journey. The findings are conceptualised in an integrated theoretical model, entitled “hotel consumer decision-journey through social media”.

The study’s scope for qualitative in-depth insights into the “hotel consumer decision-journey through social media” asked for a compromise on a larger sample size and in turn the transferability of the theoretical model beyond service, hospitality and tourism consumer decision-making contexts.

This paper provides strategic implications for hospitality marketing and management for a better understanding of the influence of social media on the hotel customer decision journey. The study shows that a variety of social media with associated content sources and levels add to the complexity of hotel-related information search and decision behaviour. The developed framework not only helps hotel professionals understand consumers’ different levels (e.g. type of content, content source, content level) through which social media might influence decision-making. Various real-life scenarios presented also help practitioners understand the fine nuances of how consumers are influenced by social media and how this causes them to iteratively change their minds and make a final decision towards the rejection or selection of a hotel.

Consumers use social media for a wide spectrum of scenarios in tourism and hospitality, while the influence of social media on the consumers’ hotel decision-making process remains little understood. This study makes a theoretical contribution in that it addresses these existing gaps and bridges consumer behaviour and social media literature in the hotel context to shed light on the “hotel consumer decision journey through social media”. The core contribution is an integrated theoretical model and real-life scenarios that depict the impact of social media on the hotel decision-making.

This study aims to address the following research questions: Do the two types of service firms (individual or aggregator) have similar competitiveness on online search ads? How should the two types of service firms select optimal branded keywords to improve search performance? In addition, how do consumers’ search queries influence the service search performance of the two types of service firms?

In this study, the authors conduct an empirical analysis by building a two-stage choice modeling on the process of search engine ranking and consumer click-through decisions. The authors estimate the parameter coefficients and test the hypotheses using maximum likelihood estimation in the logistic regression model.

The empirical findings suggest that consumer response rates are highly dependent upon three aspects (service types, branded keyword strategy and consumer search query). First, the authors found that service aggregators receive greater consumer responses than individual service providers. Second, depending upon the various branded keyword strategies (e.g. generic vs branded, “within-type” vs “cross-type”) implemented by service aggregators or individual firms, the expected consumer responses could be quite different. Finally, customer’s search query, being either generic or branded, also has direct effect and interactive effect with service type on how consumers would response to the sponsored ads in the service search process.

The limitation of the research is twofold. First, conversion rate is not considered in the model estimation due to the nature of the data set. Second, the discussion about the keywords selection strategies is focusing on the hospitality industry. Future research shall further validate the generalizability into other industries.

First, given this competitive advantage, service aggregators should take an aggressive approach to adopting paid search strategy in acquiring new users and enhance its brand salience in the service ecosystem. Second, when considering other competitor’s brand names to include, if a firm is a service provider (e.g. hotel), a strategy that can help it receive higher consumer response would be to use “within-type” rather than “cross-type” branded keyword strategy. If a firm is a service aggregator, a better branded keyword strategy would be to use “across-type” instead of “within-type” approach. In addition, given that consumer’s brand awareness can influence the effectiveness of branded keyword strategy, online service search should target consumers in earlier stages of a decision journey.

The authors believe their theoretical framework can provide actionable solutions to service firms to ease customer’s search process, increase customer’s stickiness using search engines and add value to the customer relationships with all services entities within the digital ecosystem.

This study is the first to expand online search marketing into granule examinations (main and interactive effects of three key factors) in the service search domain. First, the authors differentiate service firms into two categories – online travel aggregators and individual hotels in the model. Second, the authors introduce two sets of new classifications of branded keywords for online service search research (i.e. own versus other brand and “cross-type” versus “within-type” branded keywords). Third, this study integrates service consumers’ search word specificity into the conceptual framework which is often missing in previous online search research.

This study aims to evaluate the role of social media on the hotel decision-making process of consumers during the evaluation stage of searching, identifying the alternatives and selecting a hotel in India. It will help the stakeholders in the hotel industry of India to make the social media platform more efficient for consumers by providing inputs on the factors consumers consider while making online hotel purchase.

This study involves an exploratory qualitative approach which includes 32 face-to-face, semi-structured, in-depth individual interviews with the social media platform users. The selection of interviewees for this study has been done on the basis of a non-random purposive sampling approach.

The findings reveal that social media plays an important role in affecting the way consumers search, decide and book hotels. It also suggests that social media helps consumers in collecting information about products and services, assessing alternatives and making their choices. It confirms that while negative facets exist, the positive benefits outweigh the negative aspects of using social media when selecting a hotel. The results also reveal the impact of circumstantial influence related to social media on hotel selection, on the basis of content source and the level of trust and accuracy in the content.

This study has some strategic implications for hospitality marketing and management related to a better understanding of the influence of social media on the hotel customer decision-making process. The study shows that a variety of social media with associated content sources and levels add to the complexity of hotel-related information search and decision behaviour.

The study makes a contribution by addressing the existing gaps and bridging the arena of consumer behaviour and social media literature in a hotel context and sheds light on how consumer decisions while selecting a hotel are influenced through social media. The core contribution is the generation of factors through in-depth interviews which are based on real-life scenarios relating to the influence of social media on hotel decision-making.

Social media has fundamentally changed the consumer decision process, and in the last decade a more nuanced view of how consumers engage with brands has emerged. Instead of the traditional purchase funnel, consumers research products and services during an extended evaluation stage, and after purchase, they often enter into an open-ended relationship with the brand, sharing their experience with it using social media. This paper describes the new consumer decision journey, and then adds to the body of research on events and festivals management by applying this new model to events and festivals.

The study uses a case study methodology with a multi-method approach to analyze the use of social media at three major music festivals. Case studies offer depth and comprehensiveness for understanding a specific phenomenon, enabling inductive and rich description, and are specifically welcome in new situations where little is known about the phenomenon.

In general, the music festivals profiled are proactive in their use of social media, engaging with consumers throughout the consumer decision journey. In particular, social media is making the “evaluate” and “advocate” stages of the decision journey more relevant for festival marketers.

This paper provides an illuminating view of the use of social media in an event and festival context. It supports the theory previously developed in this area, and is further evidence of the powerful impact that new technology can have on consumer behavior. The results have important implications for both researchers and practitioners interested in the marketing of festivals and events.

In the age of digital media, customers have access to vast digital information sources, within and outside a company's direct control. Yet managers lack a metric to capture customers' cross-media exposure and its ramifications for individual customer journeys. To solve this issue, this article introduces media entropy as a new metric for assessing cross-media exposure on the individual customer level and illustrates its effect on consumers' purchase decisions.

Building on information and signalling theory, this study proposes the entropy of company-controlled and peer-driven media sources as a measure of cross-media exposure. A probit model analyses individual-level customer journey data across more than 25,000 digital and traditional media touchpoints.

Cross-media exposure, measured as the entropy of information sources in a customer journey, drives purchase decisions. The positive effect is particularly pronounced for (1) digital (online) versus traditional (offline) media environments, (2) customers who currently do not own the brand and (3) brands that customers perceive as weak.

The proposed metric of cross-media exposure can help managers understand customers' information structures in pre-purchase phases. Assessing the consequences of customers' cross-media exposure is especially relevant for service companies that seek to support customers' information search efforts. Marketing agencies, consultancies and platform providers also need actionable customer journey metrics, particularly in early stages of the journey.

Service managers and marketers can integrate the media entropy metric into their marketing dashboards and use it to steer their investments in different media types. Researchers can include the metric in empirical models to explore customers' omni-channel journeys.

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.

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 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.

Findings provide some suggestions for improving customer–chatbot interaction quality during online service encounters.

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.