bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sustainability practices in tourism supply chain
Authors: Babu Deepak Eldho , Kaur Arshinder , Rajendran Chandrasekharan 
Published: March 2018

PurposeThe purpose of this paper is to provide strategic recommendations for Indian hotel administrators for improving sustainability practices: environment, economic and social with respect to the supply chain members by analyzing performance dimensions and the importance attached to them.Design/methodology/approachImportance performance analysis is a tool to analyze the perception of top-level, middle-level and first-level managers in hotels. Questionnaire is developed to collect the hotel manager’s perceptions. The snowball sampling method is used for data collection.FindingsThe paper introduces specific sustainability practices, namely, environment, economic and social factors, at the interface of the tourism supply chain (TSC). This will allow the hotels to identify the importance and performance of various sustainability practices to achieve a long-term competitive advantage. The present work finds that the responding hotel managers have given highest importance to the sustainability practices within the organization and the hotel manager’s perception of sustainability practices in the TSC will vary with respect to the supply chain members.Research limitations/implicationsThe effort has been made to capture specific sustainability practices across the supply chain. The paper reinstates the fact that sustainability practices are not firm specific and should be practiced at the supply chain interface. The data for the study were taken from focal organizations perspective which is the hotels.Practical implicationsResults provide the hotel administrators to develop appropriate strategies to improve their practices and functions by analyzing their strengths and weakness regarding their tangible and intangible assets. The identified sustainability practice attributes can act as a benchmark and drive the hotel industry toward possible cost-saving conditions by prioritizing the allocation of the resources while taking care of overall performance.Social implicationsResults will help the hotel administrators to identify the better sustainability practices which will reduce the negative effects and protect the Mother Nature.Originality/valueThe study included hotels/resorts from tourism locations: hill station, backwaters and coastal areas, specifically in the Indian context.
Exploring the success factors for examining the potential of manufacturing system output
Authors: Kumar Raman , Singh Harwinder 
Published: March 2018

Purpose
The purpose of this paper is to explore the success factors for the assessment of manufacturing system output.

Design/methodology/approach
Exploratory factor analysis and second-order confirmatory factor analysis were used to analyze data and test hypotheses, respectively. A total of 36 observed variables were transformed into nine success factors, namely role of management (ROM), technical strength, employee strength, organizational strength (OS), resources (RS), production system, market research, effective planning, and research and development (RD).

Findings
The finding indicates that only four success factors, namely ROM, RS, OS, and RD, are positively related to all four outputs. Moreover, all nine success factors are positively associated with profit.

Research limitations/implications
The outcomes of the present work provide meaningful implications for researchers and practitioners as well.

Originality/value
Earlier studies have laid focus on single output only in the manufacturing system. In the present study, an effort has been made to focus on four output dimensions, namely final product, customer relationship, reputation, and profit, which are further strengthened by incorporating the concept of performance in manufacturing systems.
Cognitive diversity and creativity in teams: the mediating roles of team learning and inclusion
Authors: Chow Irene Hau-Siu 
Published: March 2018

PurposeThis paper aims to identify the mechanisms through which cognitive diversity affects creativity. It explores how and in what ways cognitive diversity affects team members by examining the mediating roles of team learning and inclusion.Design/methodology/approachQuestionnaire survey data were collected from matched supervisor and employee pairs from a direct sales company in the health-care industry in China. The final sample consisted of 216 employees from 48 teams, with a response rate of 90 per cent. Each employee’s immediate supervisor rated his or her creativity and in-role performance.FindingsThe empirical results indicate that team learning and inclusion mediate the effect of cognitive diversity on creativity.Research limitations/implicationsThis study was conducted in a single organisation in China and used subjective self-reported measures.Practical implicationsThe results suggest that diversity training reduces the negative consequences of team diversity and offer practical insights into the effectiveness of diversity management and the ways to create a diverse and inclusive workplace. The study should help human resource professionals to identify human resources strategies that stimulate an inclusive environment and leverage the benefits associated with higher levels of diversity.Social implicationsThe findings have significant implications for developing and maintaining social harmony.Originality/valueThe uniqueness of this study is its simultaneous investigation of diversity and inclusion and how they lead to creativity.
Research data management in the French National Research Center (CNRS)
Authors: Schöpfel Joachim , Ferrant Coline , André Francis , Fabre Renaud 
Published: March 2018

Purpose
The purpose of this paper is to present empirical evidence on the opinion and behaviour of French scientists (senior management level) regarding research data management (RDM).

Design/methodology/approach
The results are part of a nationwide survey on scientific information and documentation with 432 directors of French public research laboratories conducted by the French Research Center CNRS in 2014.

Findings
The paper presents empirical results about data production (types), management (human resources, IT, funding, and standards), data sharing and related needs, and highlights significant disciplinary differences. Also, it appears that RDM and data sharing is not directly correlated with the commitment to open access. Regarding the FAIR data principles, the paper reveals that 68 per cent of all laboratory directors affirm that their data production and management is compliant with at least one of the FAIR principles. But only 26 per cent are compliant with at least three principles, and less than 7 per cent are compliant with all four FAIR criteria, with laboratories in nuclear physics, SSH and earth sciences and astronomy being in advance of other disciplines, especially concerning the findability and the availability of their data output. The paper concludes with comments about research data service development and recommendations for an institutional RDM policy.

Originality/value
For the first time, a nationwide survey was conducted with the senior research management level from all scientific disciplines. Surveys on RDM usually assess individual data behaviours, skills and needs. This survey is different insofar as it addresses institutional and collective data practice. The respondents did not report on their own data behaviours and attitudes but were asked to provide information about their laboratory. The response rate was high (>30 per cent), and the results provide good insight into the real support and uptake of RDM by senior research managers who provide both models (examples for good practice) and opinion leadership.
Entrepreneurial women’s networks: the case of D’Uva – Portugal wine girls
Authors: Santos Gina , Marques Carla Susana , Ratten Vanessa 
Published: March 2018

PurposeThe purpose of this paper is to assess women winemakers’ motivations for and objectives in creating a formal, horizontal, and inter-organizational network in Portugal. To this end, an analysis was carried out of the practical case of a network of women wine producers from some of the main wine regions of Portugal (i.e. D’Uva – Portugal Wine Girls).Design/methodology/approachQualitative data analysis was carried out of in-depth semi-structured interviews with seven wine producers and the network manager. The content analysis of interviews was done with QSR International’s NVivo Version 11 software.FindingsThe results support the conclusion that the D’Uva – Portugal Wine Girls network promotes the creativity and innovation fundamental to communicating unique features to consumers. These are narrated in a feminine, cohesive, and united voice and supported by a passion for winemaking. The network is open to adding other women producers, which could contribute to its growth and further sharing of knowledge, contacts, and experiences.Research limitations/implicationsThe findings provide a better understanding of the processes of internationalization and networking among women winemakers in Portugal.Practical implicationsThe benefits of this network in terms of relationships were examined, showing that the stimulation of better performance and the effects of antecedents were important in the creation and formalization of the network.Originality/valueThis research sought to contribute to the literature on female entrepreneurship and, more specifically, networks of entrepreneurial women. The findings stress that, through the formalization of networks, women can gain more advantages, namely, sharing knowledge and experiences, increasing their level of internationalization, and expanding their networks.
An investigation into respiratory health problems of workers at stone crushing industries in Bangladesh
Authors: Kabir Ehtesham , Islam Aminul , Taufikuzzaman Md. 
Published: March 2018

Purpose
Occupational exposure to dust is a major health and safety concern for workers in developing countries. Such laborers are often exposed to dust without being aware of its threat to their health. In the process of crushing stone, mineralogical materials are released into the environment. The material includes dust, fumes, ashes or other industrial waste which may constitute toxic elements. The purpose of this paper is to investigate the respiratory health problems of stone crushing industry workers in Bangladesh.

Design/methodology/approach
This cross-sectional descriptive research study was conducted by adopting a multi-method approach. Data were collected by use of a questionnaire survey, focus group discussions, in-depth interview and spirometric examinations. Focus group discussions and questionnaire surveys were conducted among 240 workers. The respondents were divided in six groups for the spirometric examination. The questionnaire was formulated by following standards set by the American Thoracic Society Division of Lung Disease questionnaire and European Coal and Steel Community. Data on respondent’s height, weight and smoking habits were collected by using a structured checklist. Meanwhile, lung functions were assessed by spirometry. A Statistical Package for Social Sciences was used to analyze the data.

Findings
The results show that there was a significant relation between respiratory problems and inhalation of dust and particulate matter and cigarette smoking. It also shows that coughing was the most common problem among the respondents. The majority of respondents suffered from obstructive types of respiratory problems.

Originality/value
Findings of the study reveals that chronic exposure to dust at stone crushing plants increases the risk of respiratory problems and the impaired lung function of workers. It also reveals that there is a significant relation between respiratory problems and inhalation of dusts and cigarette smoking. Raising awareness about health risks amongst workers could reduce these health hazards. The government should make a national policy for the prevention, control and elimination of silica exposure and silicosis. The results would help to raise awareness of the issue. Finally, it would raise awareness on respiratory health problems of workers at stone crushing industries in Bangladesh and help the government to make a policy for the prevention, control and elimination of silica exposure and silicosis, and thus enhancing public health policy and practices in the country.
A proposed scheme for sentiment analysis
Authors: Tofighy Sajjad , Fakhrahmad Seyed Mostafa 
Published: March 2018

Purpose
This paper aims to propose a statistical and context-aware feature reduction algorithm that improves sentiment classification accuracy. Classification of reviews with different granularities in two classes of reviews with negative and positive polarities is among the objectives of sentiment analysis. One of the major issues in sentiment analysis is feature engineering while it severely affects time complexity and accuracy of sentiment classification.

Design/methodology/approach
In this paper, a feature reduction method is proposed that uses context-based knowledge as well as synset statistical knowledge. To do so, one-dimensional presentation proposed for SentiWordNet calculates statistical knowledge that involves polarity concentration and variation tendency for each synset. Feature reduction involves two phases. In the first phase, features that combine semantic and statistical similarity conditions are put in the same cluster. In the second phase, features are ranked and then the features which are given lower ranks are eliminated. The experiments are conducted by support vector machine (SVM), naive Bayes (NB), decision tree (DT) and k-nearest neighbors (KNN) algorithms to classify the vectors of the unigram and bigram features in two classes of positive or negative sentiments.

Findings
The results showed that the applied clustering algorithm reduces SentiWordNet synset to less than half which reduced the size of the feature vector by less than half. In addition, the accuracy of sentiment classification is improved by at least 1.5 per cent.

Originality/value
The presented feature reduction method is the first use of the synset clustering for feature reduction. In this paper features reduction algorithm, first aggregates the similar features into clusters then eliminates unsatisfactory cluster.
An evaluation of the design and construction of energy management platform for public buildings based on WSR system approach
Authors: Ji Boya , Liu Yuming , Jin Zhanyong 
Published: March 2018

Purpose
The purpose of this paper is to utilise a “Wuli-Shili-Renli (WSR)” system approach to create models for complex smart building energy management and evaluate the establishment of a building energy management platform.

Design/methodology/approach
The complexity and diversity of the data and demands of the energy management platform mean that it is necessary to analyse comprehensively. This paper uses a WSR system approach to handle, and optimise, the relationship between demands and participants and improve the whole platform. Then, this paper establishes comprehensive evaluation models to analysis the current energy management platforms by using the best integration platform as the baseline.

Findings
The WSR conceptual model clarifies the relationship between the elements and elements of the energy management platform clearly and provides the appropriate analytical methods with which to resolve key platform construction issues. The comprehensive evaluation based on a WSR system approach can take into account the systematic effect, so it is more accurate.

Research limitations/implications
The correlation degree between the layers of the energy management platform is rarely reflected.

Originality/value
This paper improves the modelling method used in the WSR system approach and demonstrates that the comprehensive evaluation based on the WSR system approach analyses the energy management platform for public buildings in a synthetic approach.
Gender and propensity to risk in advanced countries
Authors: Lago Maria , Delgado Catarina , Castelo Branco Manuel 
Published: March 2018

Purpose
The purpose of this paper is to compare the way in which gender and propensity to risk are associated in two samples, one of entrepreneurs and the other of non-entrepreneurs, while controlling for other factors, namely, national cultures.

Design/methodology/approach
On the basis of data from 19 advanced countries, and by using two different samples, one of entrepreneurs and the other of non-entrepreneurs, the authors have used logistical regression analysis to analyse the relation between gender and propensity to risk has been used.

Findings
Findings suggest that gender and culture are much stronger in influencing risk propensity among non-entrepreneurs than among entrepreneurs.

Originality/value
Instead of analysing the effects of propensity to risk in entrepreneurship, as is usually done, the authors study some of its determinants, highlighting the differences between men and women.
The importance of individual heterogeneity for interpreting faecal glucocorticoid metabolite levels in wildlife studies
Authors: Coppes Joy , Kämmerle Jim‐Lino , Willert Mirjam , Kohnen Annette , Palme Rupert , Braunisch Veronika 
Published: March 2018

Abstract

As a non‐invasive and inexpensive method, the use of faecal glucocorticoid metabolites (FGM) analysis in wildlife research is increasing. Various environmental factors have been shown to influence FGM levels, or faecal corticosteroid metabolites (FCM) levels in birds, but most studies do not account for inter‐individual variance, which we hypothesized may substantially affect results.

We combined FCM analysis with genetic analysis to identify the sex and individual's identity in samples collected in three consecutive winters; with repeated samples per individual, across the entire range of an endangered population of capercaillie Tetrao urogallus in south‐western Germany. Using generalized additive mixed models, we modelled FCM levels as a function of sex, season and environmental covariates at two spatial scales: location and home range. We compared two models: one including information on the individual animal and the other excluding this information (i.e. naïve model) to assess the influence of individual heterogeneity on the results obtained.

Models accounting for inter‐individual differences explained 44.0% and 45.1% (at the location and home‐range scale respectively), while only very little (4.0% and 5.1%, respectively) was explained by the environmental predictors. When ignoring individual effects, the model results changed considerably with other, previously non‐informative predictors, becoming significant.

In the full models, accounting for inter‐individual variance, weather conditions had no effect at either scale. FCM levels were negatively correlated with habitat quality at the sampling location, while human recreation at the home‐range scale led to elevated FCM levels. In the naïve models, two additional predictors appeared significant: one weather variable at the local scales and two at the home‐range scale. In all models, seasonal FCM patterns differed significantly between males and females.

Synthesis and applications. By combining faecal corticosteroid metabolites (FCM) analysis with genetic individual assessment, we demonstrate that individual heterogeneity can explain most of the variance in faecal corticosteroid metabolites levels and that ignoring this information can lead to erroneous conclusions when testing for environmental stressors. We therefore stress the importance of identifying individuals when studying faecal corticosteroid metabolites in wildlife and recommend combining faecal corticosteroid metabolites analyses with genetic analyses to adequately address this issue.
Projecting the recovery of a long‐lived deep‐sea coral species after the Deepwater Horizon oil spill using state‐structured models
Authors: Girard Fanny , Shea Katriona , Fisher Charles R. 
Published: March 2018

Abstract

Deepwater coral communities are hotspots of diversity and biomass. Most deep‐sea coral species are long‐lived and slow‐growing and are, thus, expected to recover slowly after disturbance. A better understanding of the recovery potential of these organisms is necessary to make appropriate management decisions.

We used data from high‐resolution monitoring of individual coral colonies that were impacted by the Deepwater Horizon oil spill (April 2010) to parameterize and validate an annual, impact‐dependent, state‐structured matrix model to estimate the time to recovery for each coral colony. We projected the dynamics of three branch states: visibly healthy, unhealthy and hydroid‐colonized. Although we implicitly included branch loss in the model, we focused on the short‐term return of extant, damaged branches to a visibly healthy state and did not consider the far longer term regrowth of lost branches.

Our model estimates that, depending on the initial level of impact, corals impacted by the spill will take up to three decades to recover to a state where all remaining branches appear healthy, though the majority of corals are projected to reach that state within a decade. By that time, some of these colonies will have lost a significant number of branches, leading to approximately 10% reduction in total biomass at all impacted sites.

Overall, our model overestimates recovery, but branch loss estimates were reliable. Thus, the available growth rate data suggest that hundreds of years may be necessary for impacted communities to grow back to their initial biomass.

Policy implications. Our study quantifies the very slow recovery rate of deep‐sea corals impacted by the Deepwater Horizon oil spill and demonstrates the imperative of prioritizing a precautionary approach for deep‐sea ecosystems over restoration after the fact. As anthropogenic pressure on the deep sea is likely to increase, we suggest the establishment of coral monitoring sites implemented as part of Marine Protected Areas to limit and detect impact to deep‐sea corals. Furthermore, our model may be used to plan shorter‐ and longer‐term monitoring programmes after impact and to provide a timeline for policy.