Mitigating resource dependence on internet visibility providers: Exploring complementarity effects in the positioning of small hotels on online intermediaries

2021 | Information & Management | Citations: 0

Authors: Neirotti, Paolo; Raguseo, Elisabetta

Abstract: By integrating a resource dependence perspective with a complementarity view, th ... Expand

Abstract: By integrating a resource dependence perspective with a complementarity view, this article investigates how online visibility affects the performance of hotels, through user-generated reviews and their presence on Internet portals. Our core argument is that when firms have gained a positive reputation from user-generated reviews, they should reduce their asymmetric dependence on Internet portals. Using a unique panel dataset of 276 small and medium-sized hotels from 2012 to 2014, we have found that good online visibility and the presence on multiple Internet portals are complementary conditions for the profitability of a hotel, and that the impact on profitability, due to the number of Internet portals on which firms are visible, is negative in the case of a poor reputation and leads to diminishing marginal returns in the case of a positive reputation. Collapse

Topics: website online review internet technology electronic trading business model

Methods: instrumental variables estimation regression analysis method multinomial probit regression longitudinal research descriptive statistic

Theories: resource dependency theory

Detecting short-term cyclical topic dynamics in the user-generated content and news

2015 | Decision Support Systems | Citations: 0

Authors: Lu, Hsin-Min

Abstract: With the maturation of the Internet and the mobile technology, Internet users ar ... Expand

Abstract: With the maturation of the Internet and the mobile technology, Internet users are now able to produce and consume text data in different contexts. Linking the context to the text data can provide valuable information regarding users' activities and preferences, which are useful for decision support tasks such as market segmentation and product recommendation. To this end, previous studies have proposed to incorporate into topic models contextual information such as authors' identities and timestamps. Despite recent efforts to incorporate contextual information, few studies have focused on the short-term cyclical topic dynamics that connect the changes in topic occurrences to the time of day, the day of the week, and the day of the month. Short-term cyclical topic dynamics can both characterize the typical contexts to which a user is exposed at different occasions and identify user habits in specific contexts. Both abilities are essential for decision support tasks that are context dependent. To address this challenge, we present the Probit-Dirichlet hybrid allocation (PDHA) topic model, which incorporates a document's temporal features to capture a topic's short-term cyclical dynamics. A document's temporal features enter the topic model through the regression covariates of a multinomial-Probit-like structure that influences the prior topic distribution of individual tokens. By incorporating temporal features for monthly, weekly, and daily cyclical dynamics, PDHA is able to capture interesting short-term cyclical patterns that characterize topic dynamics. We developed an augmented Gibbs sampling algorithm for the non-Dirichlet-conjugate setting in PDHA. We then demonstrated the utility of PDHA using text collections from user generated content, newswires, and newspapers. Our experiments show that PDHA achieves higher hold-out likelihood values compared to baseline models, including latent Dirichlet allocation (LDA) and Dirichlet-multinomial regression (DMR). The temporal features for short-term cyclical dynamics and the novel model structure of PDHA both contribute to this performance advantage. The results suggest that PDHA is an attractive approach for decision support tasks involving text mining. Collapse

Topics: web forum decision support knowledge representation armed conflict user-generated content

Methods: Gibbs sampling topic model computational algorithm multinomial probit regression longitudinal research

Do Experience Effects Vary Across Governance Modes? Evidence from New Product Introduction in the Global Aircraft Industry, 1948–2000

2014 | Organization Science | Citations: 0

Authors: Mulotte, Louis

Abstract: We examine the potential for improved performance through experiential learning ... Expand

Abstract: We examine the potential for improved performance through experiential learning of three modes of new product introduction: internal development, joint development, and licensing. Drawing on the organizational learning literature, we argue that the speed of experiential learning—that is to say, the marginal performance benefit of experience—is higher when firms carry out activities that allow for a clearer understanding of cause–effect relationships, whereas experiential benefits plateau at higher levels of experience when firms are in activities involving higher levels of related task variation. We thus predict that both the speed of learning and the experience threshold are higher in internal development than they are in licensing; the speed of learning and experience threshold in joint development fall in between. This means that the potential for improved performance through experiential learning should be greatest with internal development, moderate with joint development, and rather limited in licensing. We study the performance of 278 new aircraft introductions undertaken by 94 firms between 1948 and 2000 and find support for our hypotheses. Collapse

Topics: organization learning accounting anonymity armed conflict strategic management

Methods: cluster analysis linear regression analysis statistical hypothesis test Wald test robustness check