Search results

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.