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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.

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 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.

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.

To achieve a full understanding of the role of marketing from plan to profit requires a knowledge of the basic building blocks. This textbook introduces the key concepts in the art or science of marketing to practising managers. Understanding your customers and consumers, the 4 Ps (Product, Place, Price and Promotion) provides the basic tools for effective marketing. Deploying your resources and informing your managerial decision making is dealt with in Unit VII introducing marketing intelligence, competition, budgeting and organisational issues. The logical conclusion of this effort is achieving sales and the particular techniques involved are explored in the final section.

Artificial intelligence (AI) has a significant impact on value co-creation (VCC). However, a study providing a comprehensive summary of the current state of the art and common ground of the two fields is missing. The current study aims to fill this gap by conceptualizing the role of AI in VCC and customer decision-making.

The study reviews literature on VCC and AI together, including a total of 108 articles. To bring the literature together, the authors adopted the antecedents-mediators-outcomes framework and narrative approach that helped them develop a framework by integrating the antecedents, mediators and outcomes of AI-facilitated VCC. Furthermore, the authors also operationalized existing literature to facilitate an understanding of the role of AI in customer decision-making.

The study, in addition to identifying the common theoretical grounds of VCC and AI (human behavior, cognition and social interactions), operationalizes AI functionality, its characteristics and customer characteristics as the antecedents of AI-facilitated VCC. Moreover, based on literature, on the continuum of low-to-high involvement, four types of decision-making were identified as mediator of the relationship between AI characteristics, customer characteristics and VCC. Additionally, the authors found different categorizations of AI in literature as archetypes to support various forms of VCC.

The study contributes to the literature of VCC and AI by construing a comprehensive framework for analyzing AI's impact on VCC, envisioning customer–AI interaction as continual exchange of advantages in which characteristics of AI and customers play a critical role in customer decision-making and shaping VCC.

The purpose of this paper is to explore the impact of decision model innovation (DMI), set on the decision-making support for the customers, on customer satisfaction and the firm’s competitive productivity (FCP).

This study operationalizes the concept of DMI by developing a decision support journey (DSJ) model for the airport industry, using the case of Zurich Airport and its ecosystem. This paper then explores how this DSJ impacts the FCP of Zurich Airport.

This study finds that applying DMI shows potential to improve talent management, resource management and corporate culture, leading to a higher FCP. By centralizing the decision-making process of its customer and decision support, executives gain essential insights into the actual needs of their customers. This enables firms to adapt their products and services to the actual needs of the customer, which leads to higher performance.

This study explores the complementarity between DMI and FCP, exploring how operationalizing the concept through DSJ impacts FCP elements, including talent management, resource management and overall corporate culture. This extends extant work on improving non-aeronautical revenues in dynamic environments within airport ecosystems as a converging industry setting.

Existing airport digital applications providing minimal support should be expanded to provide an interaction and exchange platform for airport ecosystem players and customers. This paper finds that the firm adopting DMI in the airport/airline industry can set up a win-win situation to achieve competitive productivity by providing decision-making support and valuable insights to its customers.

This study is among the first to apply DMI toward improving FCP in the airport industry. It treats airports as an ecosystem of converging industries that can benefit by incorporating customer-focused digitally-enabled solutions to improve decision-making and customer satisfaction.

This study aims to provide a practical strategy for customer service and salesforce from the basis of behavioral economics. When customers thought they missed a discount but eventually could get the deal, they perceived that they had obtained more value. This research defines such a conversion effect between gain and loss accounts, demonstrates its impact in marketing settings and provides the salesforce a tactic to increase sales and quality of customer service to improve the consumer experience in the social customer journey.

Three experiments were conducted in a behavioral lab and online setting. Participants were randomly assigned to 2 (gain vs loss) × 2 (converted vs simple) between-subjects designs in the first two experiments and 2 (gain vs loss) × 2 (converted vs simple) × 2 (high price vs low price) in the third experiment. Analysis of variance was conducted to analyze the data. Mediation and moderation analyses were also conducted to identify the mediator and moderator in the model.

The conversion between gain and loss mental accounts exists, and the converted gains are more likely to lead consumers to make purchases with a once-lost discount than simple gains. This conversion effect is mediated by consumers’ implemental mindset activated by the conversion and moderated by price.

This research shows that mental accounts of gains and losses can be dynamically converted to one another. It provides a managerial tactic for salesforces and customer service to lead consumers to make a purchase decision right away. This is especially important when they aim to enhance the consumer experience in the social customer journey.