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Engaging in webcare, i.e. responding to online reviews, can positively affect consumer attitudes, intentions and behavior. Research is often scarce or inconsistent regarding the effects of specific webcare strategies on business performance. Therefore, this study tests whether and how several webcare strategies affect hotel bookings.

We apply machine learning classifiers to secondary data (webcare messages) to classify webcare variables to be included in a regression analysis looking at the effect of these strategies on hotel bookings while controlling for possible confounds such as seasonality and hotel-specific effects.

The strategies that have a positive effect on bookings are directing reviewers to a private channel, being defensive, offering compensation and having managers sign the response. Webcare strategies to be avoided are apologies, merely asking for more information, inviting customers for another visit and adding informal non-verbal cues. Strategies that do not appear to affect future bookings are expressing gratitude, personalizing and having staff members (rather than managers) sign webcare.

These findings help managers optimize their webcare strategy for better business results and develop automated webcare.

We look into several commonly used and studied webcare strategies that affect actual business outcomes, being that most previous research studies are experimental or look into a very limited set of strategies.

Drawing from the knowledge-based view of the firm, this paper aims to explore the knowledge management practices that the acquirer uses to exploit its knowledge creating conditions for the exploitation of the target’s knowledge and to explore its knowledge by realizing routines for the integration of new knowledge within the target.

This paper presents an in-depth case study analysis based on the acquisition of a Dutch food service organization by an Italian company operating in the same sector.

The case study analysis reveals four mechanisms for knowledge integration, two aimed at exploiting the acquirer’s knowledge, and two aimed at exploring the acquirer’s knowledge.

This paper unveils that it is the interlinkage among organizational, human and technological factors, at multiple layers of the target, which allows the knowledge integration within the post-acquisition process.

This article describes the development and initial experiences of Design Your Life, a new design approach implementing user-initiated design of technological environments that support autistic young adults to live independently.

This article makes use of a phenomenological Research-through-Design approach. Investigation of possible ways in which a set of four guiding principles could be applied into a design toolkit for autistic young adults and their caregivers by means of three design case studies was conducted. Promising methods from the design practice and literature were applied and contrasted with the lived experiences and practical contexts of autistic young adults and their caregivers.

This exploratory research yielded several important insights for the design direction of Design Your Life. Reflecting on how the guiding principles played out in practice it was noted that: the case studies showed that stakeholders appreciate the approach. The design principles applied cannot be used without the help of a sparring partner. This suggests that caregivers may be trained in design-thinking to fulfil this role. The Design Your Life method will be iteratively developed, refined and validated in practice.

The presented approach puts design tools in the hands of the people who will use the technology. Furthermore, the approach sees technologies as empowering interventions by which a person can strengthen their own living environment. According to this article, this approach is new for this application. It provides valuable perspectives and considerations for autistic people, caregivers, researchers and policy makers.