0000000000385104
AUTHOR
Juan Luis Nicolau
showing 3 related works from this author
Explaining the willingness of consumers to bring their own reusable coffee cups under the condition of monetary incentives
2022
An increasing number of hospitality firms attempt to foster sustainable practices among their customers. Amongst these, incentives for customers to bring their own reusable products stand out. In this study, we first analyse whether consumers are willing to bring a reusable coffee cup (RCC) under the condition of a monetary incentive (qualitative decision) and the minimum discount required for individuals to be willing to use an RCC (quantitative decision). Second, we analyse the explanatory factors impacting these two decisions. Several factors are proposed to explain an individual's willingness to bring an RCC including their environmental knowledge and involvement, and personal restricti…
How and when does leader knowledge hiding trickle down the organisational hierarchy in the tourism context? A team-level analysis
2022
This research aims to extend the literature on knowledge hiding and tourism by integrating the theoretical frameworks of social exchange and social learning. Employee knowledge hiding has scarcely been examined in the tourism literature while leader knowledge hiding has not been analysed at all. Recognising that knowledge hiding can seriously undermine the ability of employees to offer innovative customer service and that leaders’ knowledge hiding may trigger knowledge hiding chain reactions among tourism employees, this study attempts to fill this gap. Utilising multi-source, multi-timed and multi-level data, we hypothesise a multi-level mediation wherein leader knowledge hiding trickles d…
Advance booking across channels: The effects on dynamic pricing
2021
This research analyzes the effects of advance booking and channel type on hotel rates. While this relationship has been addressed in the literature, most studies take a partial approach by focusing only on one distribution channel or one destination. This study fills this gap by analyzing the price dynamics for four channels and multiple destinations. The data set consists of 39,363 bookings for 1085 hotels over 27 consecutive months. We used two-stage least squares to solve potential endogeneity issues, and the results proved that distribution channel, hotel type and hotel size have an influence on the effect of advance booking on hotel rates. Critical managerial implications are discussed…