Predicting bankruptcy in resort hotels: a survival analysis

2019 ◽  
Vol 31 (4) ◽  
pp. 1546-1566 ◽  
Author(s):  
German Gemar ◽  
Ismael P. Soler ◽  
Vanesa F. Guzman-Parra
Keyword(s):  
Survival Analysis ◽  
Management Practices ◽  
Proportional Hazards ◽  
Executive Management ◽  
Content Type ◽  
Selection Of Variables ◽  
The Business Cycle ◽  
Resort Hotels ◽  
Resort Hotel ◽  
Selection Of

Purpose This study aims to examine variables influencing resort hotels’ survival in Spain, which had not previously been analysed. In this country, determining whether the reasons resort hotels close are different from other hotels could be imperative to resort hotels’ survival. Design/methodology/approach The survival analysis used Cox’s semi-parametric proportional hazards regression to determine which variables influence hotel closure and how much each variable increases risk of closure. Findings Resort hotel closure depends on hotel size, location, executive management and the business cycle. Survival is not affected by hotel type or financial structure. Research limitations/implications While this methodology is common in business survival analyses, it has seldom been applied to hotels and has never been used to study the survival of resort hotels. Practical implications Companies need to rethink the location of new hotels. For already-built facilities, good management practices are strategically important for resort hotels’ survival. Originality/value This paper explores the reasons why resort hotels survive. The study’s selection of variables and methodology and its conclusions are unique.

TQM practices and quality management performance

2008 ◽  
Vol 20 (6) ◽  
pp. 636-650 ◽  
Author(s):  
Veeri Arumugam ◽  
Keng‐Boon Ooi ◽  
Tuck‐Chee Fong
Keyword(s):  
Quality Management ◽  
Manufacturing Industry ◽  
Management Practices ◽  
Iso 9001 ◽  
Total Quality ◽  
Quality Performance ◽  
Content Type ◽  
Manufacturing Organizations ◽  
The Relationship ◽  
Selection Of

PurposeThe purpose of this paper is to explore the relationship between total quality management (TQM) practices and quality performance with special emphasis on ISO 9001:2000 certified manufacturing organizations in Malaysia.Design/methodology/approachThe empirical data was drawn from 122 ISO 9001:2000 certified manufacturing organizations in Malaysia. The data were analyzed using correlation and multiple regression analyses.FindingsThe findings revealed that TQM practices were found to be partially correlated with quality performance of the Malaysian ISO 9001:2000 certified manufacturing organizations. It is also found that where customer focus and continual improvement were perceived as dominant TQM practices in quality performance.Research limitations/implicationsThis research paper was limited by excluding non‐ISO 9001:2000 certified organizations in the selection of manufacturing firms in Malaysia, making this a possibly biased selection, which might not adequately represent the Malaysian perspective on the entire Malaysia's manufacturing industry.Originality/valueThe outcome of the study could provide valuable knowledge to top management of ISO 9001:2000 certified manufacturing organizations to refine their quality management practices and subsequently improve quality performance.

Assessment of cultural fit between buyers and suppliers

2020 ◽  
Vol 37 (4) ◽  
pp. 635-658
Author(s):  
Vishal Singh Patyal ◽  
Sudhir Ambekar ◽  
Anand Prakash ◽  
Dipayan Roy ◽  
Amit Hiray
Keyword(s):  
Value Chain ◽  
Management Practices ◽  
Sampling Technique ◽  
Sustainable Competitive Advantage ◽  
Competing Values ◽  
Snowball Sampling ◽  
Content Type ◽  
Cultural Fit ◽  
The Right ◽  
Selection Of

PurposeThe present study proposes a model to examine the cultural fit between buyers and suppliers for establishing synergies in their processes and practices.Design/methodology/approachThis study assessed buyers' culture through the Competing Values Framework and used Quality Management Practices Model as a proxy to assess suppliers' culture. The data from 262 paired respondents were used for this analysis. This survey was administered in India, using linear snowball-sampling technique. This study applied 3SLS regression for each culture group separately.FindingsThis study has instituted the cultural fit between the buyers' and suppliers' culture. It is observed that for getting synergies between cultures, buyers need to choose a set of suppliers which have similar cultural traits.Research limitations/implicationsThis study presents empirical findings based on data from Indian manufacturing firms. These findings need testing in other developing countries and other sectors.Practical implicationsOrganizations can formulate right policies for supplier selection based on the cultural fit between buyers and suppliers.Originality/valueWith increasing role of suppliers in the value chain, organizations around the world need to work with the right suppliers for gaining a sustainable competitive advantage. Selection of the right suppliers depends on the cultural fit between buyers and suppliers that, in turn, depends on the selection of the right suppliers based on the prevailing culture.

Survival analysis of supply chain financial risk

2016 ◽  
Vol 17 (2) ◽  
pp. 130-151 ◽  
Author(s):  
Scott Dellana ◽  
David West
Keyword(s):  
Supply Chain ◽  
Survival Analysis ◽  
Financial Risk ◽  
Proportional Hazards ◽  
Risk Mitigation ◽  
Survival Function ◽  
Cox Proportional Hazards ◽  
Multiple Discriminant Analysis ◽  
Content Type ◽  
Simple Decision Rule

Purpose The purpose of this paper is to apply survival analysis, using Cox proportional hazards regression (CPHR), to the problem of predicting if and when supply chain (SC) customers or suppliers might file a petition for bankruptcy so that proactive steps may be taken to avoid a SC disruption. Design/methodology/approach CPHR is first compared to multiple discriminant analysis (MDA) and logistic regression (LR) to assess its suitability and accuracy to SC applications using three years of financial quarterly data for 69 non-bankrupt and 74 bankrupt organizations. A k-means clustering approach is then applied to the survival curves of all 143 organizations to explore heuristics for predicting the timing of bankruptcy petitions. Findings CPHR makes bankruptcy predictions at least as accurately as MDA and LR. The survival function also provides valuable information on when bankruptcy might occur. This information allows SC members to be prioritized into three groups: financially healthy companies of no immediate risk, companies with imminent risk of bankruptcy and companies with intermediate levels of risk that need monitoring. Originality/value The current paper proposes a new analytical approach to scanning and assessing the financial risk of SC members (suppliers or customers). Traditional models are able to predict if but not when a financial failure will occur. Lacking this information, it is impossible for SC managers to prioritize risk mitigation activities. A simple decision rule is developed to guide SC managers in setting these priorities.

The impact of human resource management practices on job satisfaction and affective commitment in Hurghada resort hotels

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Faten Mohamed Hussien ◽  
Yasser Ibrahim ◽  
Haitham Abdelrhman Naser
Keyword(s):  
Job Satisfaction ◽  
Human Resource Management ◽  
Human Resource ◽  
Affective Commitment ◽  
Management Practices ◽  
Content Type ◽  
Human Resource Management Practices ◽  
The Impact ◽  
Resort Hotels ◽  
Practical Implications

PurposeThe primary purpose of this study is to evaluate the positive influence of human resource management practices (HRMPs) on job satisfaction (JS) and affective commitment (AC).Design/methodology/approachData were collected through a self-administrated questionnaire disseminated in 19 resort hotels in Egypt’s Red Sea region. The structural equation modeling results indicate that HRMPs significantly affect JS and AC through mediation effects.FindingsThis study highlights the importance of a hotel’s behavior in fulfilling its HRMPs obligations on employee attitudes and behaviors. Effective HRMPs (i.e. recruitment and selection, training and socialization and security) positively influence employee outcomes like JS and AC. JS has a significantly positive relationship with AC and a mediating effect on the link between HRMPs and AC.Research limitations/implicationsThese results cannot be generalized to the overall Egyptian hospitality sector context. The survey data are self-reported, so future research should investigate hotel managers and guests through interviews or focus groups.Practical implicationsEffective HRMPs should increase JS and AC. human resource managers should emphasize the critical role of HRMPs in enhancing JS and AC and motivating hotel employees to remain with their hotels. They should also develop a robust framework to improve JS and AC with HRMPs effectively. This study provides a conceptual model for researchers in the HRM literature.Originality/valueTo the best of authors’ knowledge, this is the first study to empirically investigate the impact of HRMPs on JS and AC in the Red Sea region, with significant academic and practical implications. This research is unique in presenting a conceptual model exposing the AC of organizational commitment.

Site Selection, Current Design and Management Practices for Land Treatment Units of Petroleum Wastes

1991 ◽  
Vol 24 (12) ◽  
pp. 83-91
Author(s):  
D. C. P. Casarini ◽  
E. Gloeden ◽  
R. C. de A. Cunha
Keyword(s):  
Site Selection ◽  
Management Practices ◽  
Design Management ◽  
Hazardous Waste Management ◽  
Land Treatment ◽  
Management Technology ◽  
Current Design ◽  
Treatment Facilities ◽  
Petroleum Refineries ◽  
Selection Of

Land treatment is defined as the hazardous waste management technology related to application and incorporation of waste into the defined treatment zone of the soil where will occur the degradation, transformation and immobilization of the constituents contained in the applied waste, to ensure protection of surface water and groundwater. This paper describes some criteria for site selection of land treatment facilities used by petroleum refineries, as well as the engineering design, management practices to optimize the process and closure and post-closure techniques.

scholarly journals Advantages and potential challenges of data management in e-maintenance

2019 ◽  
Vol 25 (3) ◽  
pp. 378-396 ◽  
Author(s):  
Arian Razmi-Farooji ◽  
Hanna Kropsu-Vehkaperä ◽  
Janne Härkönen ◽  
Harri Haapasalo
Keyword(s):  
Data Management ◽  
Design Methodology ◽  
Management Practices ◽  
Future Research ◽  
Conceptual Approach ◽  
Content Type ◽  
Different Types ◽  
Maintenance Systems ◽  
Industry Leader ◽  
Practical Implications

Purpose The purpose of this paper is twofold: first, to understand data management challenges in e-maintenance systems from a holistically viewpoint through summarizing the earlier scattered research in the field, and second, to present a conceptual approach for addressing these challenges in practice. Design/methodology/approach The study is realized as a combination of a literature review and by the means of analyzing the practices on an industry leader in manufacturing and maintenance services. Findings This research provides a general understanding over data management challenges in e-maintenance and summarizes their associated proposed solutions. In addition, this paper lists and exemplifies different types and sources of data which can be collected in e-maintenance, across different organizational levels. Analyzing the data management practices of an e-maintenance industry leader provides a conceptual approach to address identified challenges in practice. Research limitations/implications Since this paper is based on studying the practices of a single company, it might be limited to generalize the results. Future research topics can focus on each of mentioned data management challenges and also validate the applicability of presented model in other companies and industries. Practical implications Understanding the e-maintenance-related challenges helps maintenance managers and other involved stakeholders in e-maintenance systems to better solve the challenges. Originality/value The so-far literature on e-maintenance has been studied with narrow focus to data and data management in e-maintenance appears as one of the less studied topics in the literature. This research paper contributes to e-maintenance by highlighting the deficiencies of the discussion surrounding the perspectives of data management in e-maintenance by studying all common data management challenges and listing different types of data which need to be acquired in e-maintenance systems.

PROMETHEE-based ranking of project managers based on the five personality traits

Kybernetes ◽  
2019 ◽  
Vol 49 (4) ◽  
pp. 1083-1102
Author(s):  
Georgios N. Aretoulis ◽  
Jason Papathanasiou ◽  
Fani Antoniou
Keyword(s):  
Personality Traits ◽  
Questionnaire Survey ◽  
Multicriteria Decision Making ◽  
Project Managers ◽  
Preference Ranking ◽  
Infrastructure Projects ◽  
Public Infrastructure ◽  
Content Type ◽  
The One ◽  
Selection Of

Purpose This paper aims to rank and identify the most efficient project managers (PMs) based on personality traits, using Preference Ranking Organization METHod for Enrichment Evaluations (PROMETHEE) methodology. Design/methodology/approach The proposed methodology relies on the five personality traits. These were used as the selection criteria. A questionnaire survey among 82 experienced engineers was used to estimate the required weights per personality trait. A second two-part questionnaire survey aimed at recording the PMs profile and assess the performance of personality traits per PM. PMs with the most years of experience are selected to be ranked through Visual PROMETHEE. Findings The findings suggest that a competent PM is the one that scores low on the “Neuroticism” trait and high especially on the “Conscientiousness” trait. Research limitations/implications The research applied a psychometric test specifically designed for Greek people. Furthermore, the proposed methodology is based on the personality characteristics to rank the PMs and does not consider the technical skills. Furthermore, the type of project is not considered in the process of ranking PMs. Practical implications The findings could contribute in the selection of the best PM that maximizes the project team’s performance. Social implications Improved project team communication and collaboration leading to improved project performance through better communication and collaboration. This is an additional benefit for the society, especially in the delivery of public infrastructure projects. A lot of public infrastructure projects deviate largely as far as cost and schedule is concerned and this is an additional burden for public and society. Proper project management through efficient PMs would save people’s money and time. Originality/value Identification of the best PMbased on a combination of multicriteria decision-making and psychometric tests, which focus on personality traits.

scholarly journals Adapting the Default Weighted Survival Analysis Modelling Approach to Model IFRS 9 LGD

Risks ◽  
2021 ◽  
Vol 9 (6) ◽  
pp. 103
Author(s):  
Morne Joubert ◽  
Tanja Verster ◽  
Helgard Raubenheimer ◽  
Willem D. Schutte
Keyword(s):  
Survival Analysis ◽  
Financial Reporting ◽  
Proportional Hazards ◽  
Proportional Hazards Model ◽  
Survival Curve ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Model ◽  
Reporting Standard ◽  
International Financial Reporting Standard ◽  
Ifrs 9

Survival analysis is one of the techniques that could be used to predict loss given default (LGD) for regulatory capital (Basel) purposes. When using survival analysis to model LGD, a proposed methodology is the default weighted survival analysis (DWSA) method. This paper is aimed at adapting the DWSA method (used to model Basel LGD) to estimate the LGD for International Financial Reporting Standard (IFRS) 9 impairment requirements. The DWSA methodology allows for over recoveries, default weighting and negative cashflows. For IFRS 9, this methodology should be adapted, as the estimated LGD is a function of in the expected credit losses (ECL). Our proposed IFRS 9 LGD methodology makes use of survival analysis to estimate the LGD. The Cox proportional hazards model allows for a baseline survival curve to be adjusted to produce survival curves for different segments of the portfolio. The forward-looking LGD values are adjusted for different macro-economic scenarios and the ECL is calculated for each scenario. These ECL values are probability weighted to produce a final ECL estimate. We illustrate our proposed IFRS 9 LGD methodology and ECL estimation on a dataset from a retail portfolio of a South African bank.

scholarly journals Testing the proportional hazards assumption in cox regression and dealing with possible non-proportionality in total joint arthroplasty research: methodological perspectives and review

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Ilari Kuitunen ◽  
Ville T. Ponkilainen ◽  
Mikko M. Uimonen ◽  
Antti Eskelinen ◽  
Aleksi Reito
Keyword(s):  
Survival Analysis ◽  
Regression Model ◽  
Total Joint Arthroplasty ◽  
Full Text ◽  
Proportional Hazards ◽  
Cox Regression ◽  
Joint Arthroplasty ◽  
Central Research ◽  
Cox Regression Model ◽  
Pubmed Database

Abstract Background Survival analysis and effect of covariates on survival time is a central research interest. Cox proportional hazards regression remains as a gold standard in the survival analysis. The Cox model relies on the assumption of proportional hazards (PH) across different covariates. PH assumptions should be assessed and handled if violated. Our aim was to investigate the reporting of the Cox regression model details and testing of the PH assumption in survival analysis in total joint arthroplasty (TJA) studies. Methods We conducted a review in the PubMed database on 28th August 2019. A total of 1154 studies were identified. The abstracts of these studies were screened for words “cox and “hazard*” and if either was found the abstract was read. The abstract had to fulfill the following criteria to be included in the full-text phase: topic was knee or hip TJA surgery; survival analysis was used, and hazard ratio reported. If all the presented criteria were met, the full-text version of the article was then read. The full-text was included if Cox method was used to analyze TJA survival. After accessing the full-texts 318 articles were included in final analysis. Results The PH assumption was mentioned in 114 of the included studies (36%). KM analysis was used in 281 (88%) studies and the KM curves were presented graphically in 243 of these (87%). In 110 (45%) studies, the KM survival curves crossed in at least one of the presented figures. The most common way to test the PH assumption was to inspect the log-minus-log plots (n = 59). The time-axis division method was the most used corrected model (n = 30) in cox analysis. Of the 318 included studies only 63 (20%) met the following criteria: PH assumption mentioned, PH assumption tested, testing method of the PH assumption named, the result of the testing mentioned, and the Cox regression model corrected, if required. Conclusions Reporting and testing of the PH assumption and dealing with non-proportionality in hip and knee TJA studies was limited. More awareness and education regarding the assumptions behind the used statistical models among researchers, reviewers and editors are needed to improve the quality of TJA research. This could be achieved by better collaboration with methodologists and statisticians and introducing more specific reporting guidelines for TJA studies. Neglecting obvious non-proportionality undermines the overall research efforts since causes of non-proportionality, such as possible underlying pathomechanisms, are not considered and discussed.

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