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The growing frequency of cybersecurity incidents commonly requires organizations to notify customers of ongoing events. However, the content contained within these notifications varies widely, including differences in the level of detail, apportioning of blame, compensation and corrective action. This study seeks to identify patterns contained within cybersecurity incident notifications by constructing a typology of organizational responses.

Based on a detailed review of 1,073 global cybersecurity incidents occurring during 2020, the authors obtained and qualitatively analyzed 451 customer notifications.

The results reveal three distinct organizational response types associated with the level of detail contained within the notification (full transparency, guarded and opacity), as well as three response types associated with the benefitting party (customer interest, balanced interest and company interest).

This work extends past classifications of cybersecurity incident notifications and provides a template of possible notification approaches that could be adopted by organizations.

This paper aims to develop a theoretical framework for the conceptualization of customer experiential knowledge (CEK) by logically combining its different dimensions into one coherent explanatory concept. Drawing on the integration of the literature on customer experience, customer knowledge management and customer insights acquisition, supported by adequate empirical evidence, the framework provides a systematic, comprehensive and accurate understanding of CEK which, could contribute to the identification of relevant customer experience insights useful for customer knowledge management.

The analysis follows an inductive/deductive interpretative approach and it is based on a netnography of specialty coffee bloggers’ narratives in relation to their sustainability practices.

The paper identifies the following six types of CEK: normative, subcultural, epicurean, transcendental, subcultural and symbolic. Accordingly, CEK is defined as the knowledge tacitly possessed by customers in relation to how they live their consumption experiences according to a body of heterogeneous socio-cultural contextual factors (ethos, norms and symbols) and subjective influences (emotions, ingenuity, instincts and senses) deeply embedded into the narrative of a consumption experience.

While CEK has been largely observed and acknowledged, it has not been yet adequately addressed by existing research. The provision of a conceptual definition of CEK which emphasizes its different dimensions will be of use to both academics and practitioners to better identify and categorize the different manifestations of CEK when undertaking empirical observations or managerial decisions.

This study aims to characterize how ecosystem actors shape customer experience (CX). The study also proposes implications for managers and research regarding the customer ecosystem, its actors and actor constellations in the context of CXs.

A qualitative study is conducted among activity tracker users to identify how actors within their ecosystems shape CXs. Data include 28 in-depth interviews and ten self-reported diaries.

This study delineates six actor categories in the customer ecosystem shaping CX within and beyond the service. The number of actors and their importance to the focal customer in various actor constellations form individual-, brand- and socially driven ecosystems. These customer ecosystem types show how actors combine to drive CXs.

Researchers should shift their attention to experiences emerging in the customer’s lifeworld. A customer ecosystem highlights the customer-centered actor configuration emergent within the customer’s lifeworld. It is self-constructed based on the customer’s reference point.

Managers should aim to locate, monitor and join the customer’s lifeworld to gain more insight into how CXs emerge in the customer ecosystem based on customer logic.

Customers are not isolated actors simply experiencing service; rather, they construct idiosyncratic actor constellations that include various providers, social groups and peers.

This paper extends the theory on CXs by illustrating how the various actors and actor constellations forming the customer ecosystem shape CXs.

The tendency shows that more customers will bring and use their mobile devices in-store. This study proposes a further analysis of the complementary role of the mobile device in an in-store purchase providing a characterisation of those customers and analyses their usage preferences and behaviour intentions, presenting new insights concerning gender and generation preferences.

Quantitative research with customers of electronic stores was conducted based on a questionnaire applied at the store’s exit. To assess the differences between genders and among generations were used the parametric T-Test and one-way ANOVA.

The results demonstrate divergencies between generations when using mobile devices. In addition, they indicate that males have more intention to manage shopping tasks efficiently and consequently are less affected by in-store marketing stimuli and less predisposed to impulse purchases.

Although real customers participated, a convenience sample was used. The results should be compared with research on other retailer types. The customer shopping motivations and the types of mobile device usage should be further investigated since they can change the experience and the retailer’s outcomes.

Contributing to related specific research areas such as shopping behaviour and technology in retail settings by showing the usage preferences, the study also provides information for retailers, especially those needing to approach the Gen Z customers, improving the development of strategies.

This research explores further the complementary role of the mobile device in an in-store purchase. By conducting the study in a new setting, it brings new insight into a less explored, yet important sector.

The purpose is to understand how the role of quality functions might evolve amidst digitalisation and an increased focus on services. This study focuses on customer feedback and how it can function as activation triggers for developing absorptive capacity, as well as how it relates to the value creation processes.

Following a qualitative research design, the authors gathered primary data from interviews with quality managers at 17 UK and Swedish firms and triangulated it with secondary information from the firms' web pages.

The findings show that customer feedback-based activation triggers can support development of absorptive capacity in the quality function if there are established processes for acting on customer feedback. This is often the case for codified feedback, which normally concerns products. However, digitalisation offers new opportunities of engaging in value co-creation, and firms need to develop digital capabilities to manage new technologies and data analytic tools. For personalised feedback (the main category of service-related feedback), established processes are missing.

This study work contributes to knowledge about how quality functions respond to customer feedback on both products and services. It clarifies why the quality function sometimes struggles to contribute to service quality as much as to product quality. From a theory development perspective, the authors contribute to understanding customer feedback-based activation triggers, how they lead to development of absorptive capacity and their relation to value co-creation on a functional level.

Consumers are increasingly combining distribution channels, thus displaying so-called omni-channel behavior, both to complete a given purchase and between purchases. The authors make a distinction between omni-channel customers, who make use of distribution services in both channels and omni-channel users, who make partial use of the distribution services of one channel to support purchases in another. This paper aims to identify the omni-channel behavior among the customers of a global fast fashion retailer dealing in a wide range of apparel and clothing accessories.

Using a multinomial logit model, the authors perform a customer segmentation based on observed omni-channel behavior, considering the explanatory roles of demographics, distribution service features and customer service policies across the different retail channels.

The authors observe that the key retail channel features for explaining omni-channel customer behavior are product accessibility, both in store and online; the assurance that goods purchased online will satisfy the customer’s needs and expectations; and the option to return goods found unsatisfactory.

The results clearly show that the nature of the visits and purchases made by customers is determined by various components of the companýs customer service policy, which can, therefore, be used to guide the retailer’s segmentation strategy.

Future lines of research should explore the economic implications of this customer segmentation. The price perception data emerging from our findings suggest a greater sensitivity to prices in the mono-channel segment, which might be worth exploring in future research.

Future lines of research should explore the economic implications of this customer segmentation. The price perception data emerging from our findings suggest a greater sensitivity to prices in the mono-channel segment which might be worth exploring in future research.

Los consumidores combinan canales de distribución en el denominado comportamiento omni-canal cada vez en mayor medida, tanto para completar una misma compra como entre distintas compras. Distinguimos entre clientes omni-canal, que hacen uso de los servicios de distribución de ambos canales, y usuarios omni-canal, que hacen solo un uso parcial de los servicios de distribución de un canal para apoyar las compras en el otro canal. En este trabajo identificamos este comportamiento omni-canal entre los clientes de una empresa global del sector de la moda que vende un amplio rango de productos de ropa y complementos.

Mediante un modelo logit multinomial, realizamos una segmentación de los clientes en base a su comportamiento omnicanal. En esta segmentación, consideramos el papel explicativo, no solo de las características de los individuos, sino también el de los servicios de distribución y las políticas en cada canal.

Obtenemos cómo el acceso al producto, tanto en el establecimiento como a la página web, la garantía de que el producto comprado online tendrá las características esperadas y las facilidades para devolver el producto adquirido online si no cumple las expectativas, son rasgos clave de los canales que explican el comportamiento omnicanal de los clientes.

Nuestros resultados muestran claramente que diferentes aspectos de la oferta de servicios y de políticas de la empresa determinan las compras y las visitas y estos aspectos pueden ser utilizados para guiar la estrategia de segmentación del detallista.

En este trabajo contribuimos a la literatura sobre el marketing omnicanal presentando un modelo de segmentación, basado en los servicios de distribución ofertados por los minoristas, para las empresas que comercializan productos a través de distintos canales. Aportamos una distinción conceptual entre usuarios de un canal y compradores que tiene un amplio rango de aplicación.

Es necesario proseguir con las líneas futuras de investigación para investigar las implicaciones financieras de esta segmentación. La percepción de los precios que se detecta en nuestros resultados puede sugerir una sensibilidad mayor a los precios en el segmento mono-canal lo que puede ser una línea interesante a contrastar en investigaciones futuras.

Omni-canal, Moda rápida, Trabajo de investigación, Segmentación, Servicios de distribución, Comercio electrónico

Trabajo de investigación

Following the recent surge in research on carsharing, the paper synthesizes this growing literature to provide a comprehensive understanding of the current state of research and to identify directions for future work. Specifically, this study details implications for service theory and practice.

Systematic selection and analysis of 279 papers from the existing literature, published between 1996 and 2020.

The literature review identified four key themes: business models, drivers and barriers, customer behavior, and vehicle balancing.

For managers, the study illuminates the importance of collaboration among stakeholders within the automotive sector for purposes of widening their customer base and maximizing utilization and profits. For policy makers, their important role in supporting carsharing take-off is highlighted with emphasis on balancing support rendered to different mobility services to promote mutual success.

This is the first systematic multi-disciplinary literature review of carsharing. It integrates insights from transportation, environmental, and business studies, identifying gaps in the existing research and specifically suggesting implications for service research.

This study aims to examine and compare the influence of the disposition to engage in engagement behaviors on physical and virtual engagement platforms, as well as the influence of these engagement behaviors on brand loyalty, value-in-use and word-of-mouth.

Data were collected using a survey distributed to a random sample of 10,000 fans of five teams in the Swedish top-division of elite football. An exploratory factor analysis was performed to derive a distinction between prevalent platforms, scales were validated through a confirmatory factor analysis and structural equation modeling was used to test the research model.

Customer disposition to engage with the sports team had a significant influence on customer engagement behaviors on both physical and virtual engagement platforms. However, engagement behaviors on virtual platforms were found to be more important than engagement behaviors on physical platforms for fostering brand loyalty and value-in-use.

The results highlight the importance of engagement behaviors with a brand on virtual engagement platforms. Thus, brand managers should prioritize their presence on social media to generate the positive outcomes of customer engagement behaviors.

By examining the effects of customer engagement behaviors on both physical and virtual engagement platforms, this study provides new insights to the emerging customer engagement literature.

The purpose of this paper is to identify key aspects of business model development for sustainable apparel consumption, as actors show an increasing interest in product‒service systems. This purpose should be seen from a retailers’ perspective so as to develop sustainable solutions for long-term survival in the apparel industry when meeting consumer preferences for fashion as well as an increasing interest in consuming less. Further, this is from a perspective in an economy where sharing and circularity are potential drivers for changing consumer patterns.

The study is based on the apparel retailer Houdini Sportswear and its business model development from a traditional model of selling sportswear to a more future-oriented model where sustainability is more salient. The data for analysis were collected through interviews with employees within the studied company. The interviews have been guided by overarching themes covering relevant areas of interest for this study.

Overall, the paper shows how sustainability can be included in strategic development, from product idea, product development, production and sales/rental to repair, reuse and finally recycling. The paper also highlights potential obstacles in a developed business model with increased sustainability, including technological platforms, distribution networks for collecting and returning products and consumer consumption preferences. There are a few intertwined factors to be considered on different societal levels to achieve long-term success.

This study contributes an increased understanding of how more sustainable solutions can be included when developing business models. While the manufacture, distribution and consumption of clothes have an impact on the environment, some retailers and producers want to reduce this environmental impact. One alternative is to change the way clothes are consumed, to include more sharing and circularity.