Online market entry: the motivations for imitation across retailer types

This study examines the motivations for imitation in retailers’ online channel entry. Extant literature suggests that legitimacy and efficiency are the primary motivators for firms to imitate. We develop hypotheses which center on the belief that not all firm types would use the same motivator for deciding to imitate and enter the online market; legitimacy would be the driving force for some retailer types while efficiency would be the motivator for others. We test our hypotheses on a unique data collected from multiple sources. Our findings confirm that the motivators for imitation vary across retailer types. Bhatnagar, Amit and Nikolaeva, Ralitza and Ghose, Sanjoy, Online Market Entry: The Motivations for Imitation Across Retailer Types (November 2014). Managerial and Decision Economics, Forthcoming. Available at SSRN: http://ssrn.com/abstract=252208

Online market entry: the motivations for imitation across retailer types

This study examines the motivations for imitation in retailers’ online channel entry. Extant literature suggests that legitimacy and efficiency are the primary motivators for firms to imitate. We develop hypotheses which center on the belief that not all firm types would use the same motivator for deciding to imitate and enter the online market; legitimacy would be the driving force for some retailer types while efficiency would be the motivator for others. We test our hypotheses on a unique data collected from multiple sources. Our findings confirm that the motivators for imitation vary across retailer types. Bhatnagar, Amit and Nikolaeva, Ralitza and Ghose, Sanjoy, Online Market Entry: The Motivations for Imitation Across Retailer Types (November 2014). Managerial and Decision Economics, Forthcoming. Available at SSRN: http://ssrn.com/abstract=252208

Représentation des distances perceptuelles des consommateurs : évaluation des modèles de représentation par des indicateurs de diagnostic

International audiencePour comprendre les perceptions par le consommateur des structures de produit/marché, les praticiens du marketing doivent choisir parmi un grand éventail de modèles spatiaux et arborescents. Etant donné que ces modèles de représentations font des hypothèses différentes sur la nature de la distribution des distances, des indicateurs de diagnostic (comme le coefficient d'asymétrie) calculés à partir des données devraient permettre d'indiquer quel type de représentation (spatiale ou arborescente) est la mieux adaptée à un jeu de données particulier. Dans cet article, l'auteur s'appuie sur la littérature relative aux caractéristiques des indicateurs de diagnostic et des modèles de représentation pour développer plusieurs hypothèses partielles relatives à la capacité de ces indicateurs à prévoir l'adéquation des modèles de représentations aux données à analyser (en termes d'ajustement statistique). Une analyse empirique montre que le coefficient d'asymétrie est clairement le meilleur indicateur de cette adéquation; résultat vérifié sur une variété de modèles spatiaux et arborescents comparables. Les indicateurs de centralité et de réciprocité, en conjonction avec le coefficient d'asymétrie, sont utiles pour prévoir l'adéquation aux données de modèles spatiaux ou arborescents bien spécifiques. L'auteur utilise la méthode de prévision “ U ” (proche du Jackknife), conjointement avec l'analyse discriminante, pour montrer comment les indicateurs de diagnostic peuvent prévoir le degré d'adéquation des modèles spatiaux ou arborescents, ceci avec une précision nettement supérieure à ce qui serait obtenu par le simple hasard

Measuring tourist satisfaction with destination attributes

This study aims to contribute to the knowledge of value creation process in the tourism market by examining the impact of tourism product attributes on tourist satisfaction and tourist behavioural intentions. The research was conducted with 463 tourists visiting Poland. The research results show that several tour attributes and experience attributes influence tourist satisfaction and their willingness to recommend the country to others; however, drivers of satisfaction and recommendations, although often similar, were not always the same. Tour package features such as organization, attractiveness of the programme, and tour escort have a positive impact on both tourist satisfaction and recommendations.Moreover, some experience factors including tourist attractions – culture and monuments, and safety also have a positive impact on both tourist satisfaction and recommendations. Severalmanagerial implications are outlined on the basis of the research results

Forecast information and traditional retailer performance in a dual-channel competitive market

Independent firms in a dual-channel competitive market are expected to have their own information about the nature of the market. In this research, we develop a game-theoretic model to examine the value of forecast information about consumers' willingness to pay. The model is based on a simultaneously played Bertrand game. Our results indicate that the profits of online as well as traditional retailers always increase with forecast accuracy, and that forecast accuracy has a greater effect on the performance of the traditional retailer than on that of the online retailer. Our results also show that the difference in profit between that of the traditional retailer and the online retailer increases with forecast accuracy. In addition we find that forecast accuracy is much more valuable to the traditional retailer when there is an increasing volatility in the market, an increasing level of consumer valuation of the product, and an increasing intensity in market competition. Based on our results, we derive optimal market strategies and identify directions of future research.Forecast information Channel competition Uncertainty modeling Bertrand competition game Marketing research