Peter C. Verhoef, Corine S. Noordhoff and Laurens Sloot
The Covid-19 pandemic has a strong effect on societies, business and consumers. Governments have taken measures to reduce the spread of the pandemic, such as social distancing and…
Abstract
Purpose
The Covid-19 pandemic has a strong effect on societies, business and consumers. Governments have taken measures to reduce the spread of the pandemic, such as social distancing and lockdowns. The latter has also resulted in a temporary closure of physical stores for “non-essential” retailing. Covid-19 thus has a profound impact on how people live. The period of relative isolation, social distancing and economic uncertainty changes the way we behave. New consumer behaviors span all areas of life, from how we work to how we shop to how we entertain ourselves. These shifts have important implications for retailers. This paper aims to discuss the potential structural effect on shopping behavior and retailing when Covid-19 measures are no longer needed and society moves back to a normal situation.
Design/methodology/approach
The paper synthesizes empirical and conceptual literature on the consequences of COVID-19 and introduces a conceptual framework along with a set of predictions that can be investigated with empirical data.
Findings
This study suggests that Covid-19 shapes both consumer needs and behavior and how retailers respond to these changes. Moreover, it suggests that this will not only affect market outcomes (i.e. retail sales and market share online) but also firm outcomes (i.e. customer experience, firm sales) and importantly the competition between online and offline retailers.
Originality/value
In the conceptual framework, this study aims to advance knowledge on longer-term outcomes (vs immediate outcomes such as panic buying) and how COVID-19 is changing the competitive landscape of retail.
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Giada Salvietti, Cristina Ziliani, Christoph Teller, Marco Ieva and Silvia Ranfagni
The study aims to propose a comprehensive overview of the Omnichannel phenomenon by identifying its theoretical foundations as well as future research directions.
Abstract
Purpose
The study aims to propose a comprehensive overview of the Omnichannel phenomenon by identifying its theoretical foundations as well as future research directions.
Design/methodology/approach
In order to systematize Omnichannel-centered contributions and identify future research directions for post-Covid-19, this study adopted a mixed-method study, combining a systematic literature review, a bibliometric co-citation analysis and a panel discussion by field experts.
Findings
In Study 1, the authors traced extant literature on Omnichannel back to its theoretical foundations, which led to the identification of four research areas in which the concept of Omnichannel is rooted. Contributions pertaining to the aforesaid research areas were discussed and submitted to a panel of experts (Study 2) after the lockdown periods. The experts gave various insights into both the past and future of Omnichannel research. Finally, a framework synthesizing theoretical foundations of Omnichannel, literature gaps and opportunities for future research is provided.
Originality/value
To our knowledge, this is the first attempt to combine mixed methods study in Omnichannel research and to involve a panel of experts in order to discuss the findings of a literature review and evaluate future research directions. This choice allowed us to investigate both incumbent academic and managerial challenges raised by Omnichannel and to provide guidance for the post-pandemic recovery.
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Elisabeth Happ, Ursula Scholl-Grissemann, Mike Peters and Martin Schnitzer
Offline retail stores have been working on improving their in-store customer experience; they have begun to realise the physical advantage they have over online channels…
Abstract
Purpose
Offline retail stores have been working on improving their in-store customer experience; they have begun to realise the physical advantage they have over online channels. Especially sports products have a number of unique features, such as high emotional involvement or a sense of community; additionally, sports customers put emphasis on multisensory brand experience at the point of sale. This study examines the in-store customer experience (ISCX) in offline sports retail stores, taking into account the commercial uniqueness of sport.
Design/methodology/approach
A qualitative study (focus groups; n = 16) and quantitative survey (cross-sectional survey design; n = 238) were conducted to measure ISCX in sports retail stores.
Findings
The results suggest that the customers' in-store experience has a significant influence on customers' satisfaction with the sports retailer and their likeliness to recommend the store to friends, which, in turn, is significantly affected by customers' satisfaction with the retailer. Moreover, social responses to actors involved in the service encounter, for example, the interaction with employees, play a significant role for the customer in-store experience. Accordingly, sports customers strive not only for functional benefits inherent in the interaction with customers and employees but also for social benefits.
Originality/value
This study extends the knowledge by (1) replicating the ISCX scale, (2) analysing ISCX in a sports retail environment and (3) examining the influence of ISCX on the Net Promoter Score. Moreover, the findings support managers' know-how about in-store setting and help to maintain the customer relationship.
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Peter Madzík, Lukáš Falát, Lukáš Copuš and Marco Valeri
This bibliometric study provides an overview of research related to digital transformation (DT) in the tourism industry from 2013 to 2022. The goals of the research are as…
Abstract
Purpose
This bibliometric study provides an overview of research related to digital transformation (DT) in the tourism industry from 2013 to 2022. The goals of the research are as follows: (1) to identify the development of academic papers related to DT in the tourism industry, (2) to analyze dominant research topics and the development of research interest and research impact over time and (3) to analyze the change in research topics during the pandemic.
Design/methodology/approach
In this study, the authors processed 3,683 papers retrieved from the Web of Science and Scopus. The authors performed different types of bibliometric analyses to identify the development of papers related to DT in the tourism industry. To reveal latent topics, the authors implemented topic modeling based on latent Dirichlet allocation with Gibbs sampling.
Findings
The authors identified eight topics related to DT in the tourism industry: City and urban planning, Social media, Data analytics, Sustainable and economic development, Technology-based experience and interaction, Cultural heritage, Digital destination marketing and Smart tourism management. The authors also identified seven topics related to DT in the tourism industry during the Covid-19 pandemic; the largest ones are smart analytics, marketing strategies and sustainability.
Originality/value
To identify research topics and their development over time, the authors applied a novel methodological approach – a smart literature review. This machine learning approach is able to analyze a huge amount of documents. At the same time, it can also identify topics that would remain unrevealed by a standard bibliometric analysis.
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Jan F. Klein, Yuchi Zhang, Tomas Falk, Jaakko Aspara and Xueming Luo
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
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.