Survival analysis of the Spanish hotel industry

Gémar, Germán; Moniche, Laura; Morales, Antonio J.

doi:10.1016/j.tourman.2015.12.012

Cited by 86 publications

(103 citation statements)

References 51 publications

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“…It is essential to know the key variables to improve competitiveness and ensure the survival of hotels (Gémar, Moniche, & Morales, ). For a large number of authors, incorporating CSR into management strategies has important benefits (Burke & Logsdon, ), such as profitability, improved performance, and customer loyalty.…”

Section: Literature Reviewmentioning

confidence: 99%

A model to measure sustainable development in the hotel industry: A comparative study

Suárez-Cebador

Rubio-Romero

Contreiras

et al. 2018

Corp Soc Responsibility Env

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Despite measurement difficulties, several studies have recognized the importance of corporate social responsibility (CSR) as a tool to promote sustainability. The aim of this paper is to design a model to measure the implementation of CSR practices in hotels in two well-known tourist regions, namely the Algarve in Portugal and the Costa del Sol in Spain. To do this, a Delphi method was applied: 16 experts from the two regions were asked to quantify the desirability of implementing 32 CSR practices in three areas: environmental, social, and economic. As a result, a three-dimensional model was constructed to provide a quantitative overview of the hotel industry's commitment to and preferences in implementing CSR practices. Despite the high level of consistency between the two groups, statistically significant differences were found in the priority assigned to four CSR practices.

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Section: Literature Reviewmentioning

confidence: 99%

A model to measure sustainable development in the hotel industry: A comparative study

Suárez-Cebador

Rubio-Romero

Contreiras

et al. 2018

Corp Soc Responsibility Env

Self Cite

View full text Add to dashboard Cite

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“…All explanatory variables classified in the location conditions domain had significant coefficients. As expected, the coefficient of “location potential” had a significant negative sign, which represents that a better location in terms of the labor and sales markets could generate a relatively longer operating span for small startups (Gémar et al, ). The variables related to the degree of industrial vitality by area, such as “industrial activity scale” and “industrial growth rate,” had significantly negative coefficients.…”

Section: Empirical Results Using the Mixed Effects Cox Modelmentioning

confidence: 52%

“…Business demography statistics are defined as the research field of the dynamic changing processes of firms, such as entry onto market, growth, or decline, and exit from the market (Gémar et al, ), being similar to the population demography statistics widely known as the study of formation, change, and dissolution of households. Recently, the main research issue has shifted from entry into the market to performance after entry (Farinha, ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…These variables represent location conditions as degrees of industrial vitality by district. Finally, the temporal conditions were controlled for using the indexes of “stock market,” “banking market,” and “labor market.” The variables in this classification were used in the empirical analysis based on the results of previous studies that national economic conditions could affect company survival (Buddelmeyer, Jensen, & Webster, ; Gémar et al, ; Honjo, ; Tveterås & Eide, ). The values of these control variables were measured at the start‐up time of each sample—that is, the month (or quarter) of the establishment of small start‐up firm.…”

Section: Empirical Analysis Of the Survival Of Small Startupsmentioning

confidence: 99%

“…Startup promotion policies have thus focused on establishing more firms—in other words, firms’ market entry. However, many economists and policy makers pay attention to the importance of startups' performance after entry based on efficiency using inputs and outputs (Khoshnevis & Teirlinck, ), or their survival (Audretsch, ; Gémar, Moniche, & Morales, ), because long‐term survival would be relatively more difficult, despite the market entry being easily supported (Tveterås & Eide, ). In terms of individual firms, their survival or continuance is one of the most important proxy variables for their performance after market entry (Low & Brown, ).…”

Section: Introductionmentioning

confidence: 99%

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Interaction effects between the agglomerative externalities affecting the survival of small startups

Nam

2019

Growth and Change

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The purpose of this study is to identify the relationship between the survival of firms and the influence of agglomeration economies on firm location using a mixed effect Cox model considering random effects, given the industrial conditions of South Korea. Each agglomerative externality had a negative effect on the survival proportion of small startups except the related variety of the tertiary sector. However, the interaction effects between each externality and the location potential and among agglomerative externalities mostly played a complementary role to the survivability of startups; however certain effects reduced the survivability, and the effects were differentiated for each industrial sector. This study provides an advanced understanding of small firm performance after entry into the market in developing and developed nations.

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To Fail or Not to Fail: An Algorithm for SME Survival Prediction Using Accounting Data

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Silva

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Palgrave Studies in Cross-Disciplinary Business Research, in Association With EuroMed Academy of Business

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In this book chapter, the very significant negative effects of the financial crisis were examined, in particular on micro and small and medium-sized enterprises (SMEs). An algorithm that has been constructed for predicting the survival likelihood of a corporation, using financial accounting data, is proposed here. Furthermore, due to the more common fragility of SMEs, the authors consider this algorithm as a possible tool for assessing their financial condition, providing an immediate insight about their survival odds and therefore helping management to better justify their decision-making processes, namely, the critical ones, driven to avoid business failure. Overall, the results suggest that the proposed algorithm is reliable while forecasting the survival likelihood of SMEs, based on their financial accounting reported data.

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Survival analysis of the Spanish hotel industry

Cited by 86 publications

References 51 publications

A model to measure sustainable development in the hotel industry: A comparative study

A model to measure sustainable development in the hotel industry: A comparative study

Interaction effects between the agglomerative externalities affecting the survival of small startups

To Fail or Not to Fail: An Algorithm for SME Survival Prediction Using Accounting Data

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