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on Marketing |
| By: | Olivier Gossner; Jakub Steiner; Colin Stewart |
| Abstract: | We study the impact of manipulating the attention of a decision-maker who learns sequentially about a number of items before making a choice. Under natural assumptions on the decision-maker's strategy, forcing attention toward one item increases its likelihood of being chosen. |
| Keywords: | Sequential sampling, marketing, persuasion, attention allocation |
| JEL: | D8 D91 |
| Date: | 2018–11 |
| URL: | http://d.repec.org/n?u=RePEc:zur:econwp:308&r=mkt |
| By: | Yilmaz, Özgür Devrim |
| Abstract: | The study was conducted to find out the positive and/or negative effects that hotel employees may have upon hotel guests’ experiences during their stay. Using the critical incident technique (CIT), data were obtained from 105 guests (a total of 174 incidents) staying in two different 5-star hotels that have similar characteristics in terms of type, price, ownership and concept in Bodrum, Turkey. The incidents were primarily categorized as positive and negative and afterward the incidents from two categories were compared to each other in terms of three main process of hotel accommodation as check-in, accommodation and check-out. Despite the fact that most hotels currently place emphasis on employee-guest interactions –under the concept of service quality or customer satisfaction-, the findings revealed that there were still a number of negative incidents that caused customer dissatisfaction and managerial implications were needed in hotels to minimize negative incidents and maximize the positive ones. |
| Keywords: | Critical incidents; Hotel; Employee-guest interaction; Employee behavior; Customer satisfaction |
| JEL: | J24 L8 L83 O15 |
| Date: | 2018–03–07 |
| URL: | http://d.repec.org/n?u=RePEc:pra:mprapa:90101&r=mkt |
| By: | Chang, C-L.; McAleer, M.J.; Wong, W.-K. |
| Abstract: | The paper provides a review of the literature that connects Big Data, Computational Science, Economics, Finance, Marketing, Management, and Psychology, and discusses some research that is related to the seven disciplines. Academics could develop theoretical models and subsequent econometric and statistical models to estimate the parameters in the associated models, as well as conduct simulation to examine whether the estimators in their theories on estimation and hypothesis testing have good size and high power. Thereafter, academics and practitioners could apply theory to analyse some interesting issues in the seven disciplines and cognate areas. |
| Keywords: | Big Data, Computational science, Economics, Finance, Management, Theoretical models, Econometric and statistical models, Applications. |
| Date: | 2018–01–01 |
| URL: | http://d.repec.org/n?u=RePEc:ems:eureir:112499&r=mkt |
| By: | Aleksandra Sazhina (National Research University Higher School of Economics) |
| Abstract: | Coproduction is a practice that encourages active interaction between customers and producers in creating products, services or events. In the urban management framework the above-mentioned concept is just starting to be put into practice and is characterized by the involvement of residents in different city activities' organization including mega events managed by local authorities. The new types of interaction between residents and authorities include participation of residents as volunteers in organization and carrying out of different city events and activities, mass collaboration or crowdsourcing, crowdfunding, recommendations to external stakeholders, couchsurfing, and slum tourism. The article examines the theoretical aspects of coproduction concept introduction in urban development, describes the types of interaction between residents and local authorities as well as the benefits of this interaction. The author has developed and empirically verified a conceptual model for willingness assessment of residents to participate in coproduction of mega events based on the example of the city of Volgograd which hosted one of the Football World Cup stages. |
| Keywords: | coproduction, residents, urban development, mega events, place marketing |
| JEL: | R19 |
| Date: | 2018 |
| URL: | http://d.repec.org/n?u=RePEc:hig:wpaper:07/urb/2018&r=mkt |