Mattia Rapa, Marco Ferrante, Ilia Rodushkin, Cora Paulukat and Marcelo Enrique Conti
World imports of Italian sparkling wines fell by 9% in value and 5% in quantities. In view of this, the quality characterisation of these products is desirable to increase their…
Abstract
Purpose
World imports of Italian sparkling wines fell by 9% in value and 5% in quantities. In view of this, the quality characterisation of these products is desirable to increase their market value and restore their global visibility.
Design/methodology/approach
For this purpose, in this paper, heavy metals (Cd, Co, Cr, Cu, Fe, Ga, Hf, Hg, Mn, Mo, Nb, Ni, Pb, Re, Sb, Sn, Ta, Th, Tl, U, W, V, Zn, Zr), rare Earth elements (REEs) (Ce, Dy, Er, Eu, Gd, Ho, La, Lu, Nd, Pr, Sm, Tb, Tm, Yb) and isotopes ratio (208Pb/206Pb, 207Pb/206Pb, 206Pb/204Pb, 208Pb/207Pb, 87Sr/86Sr) were analysed in Italian sparkling wines with Protected Designation of Origin (PDO) certification by High Resolution Inductively Coupled Plasma Mass Spectrometry (HR-ICP-MS) and MultiCollector Inductively Coupled Plasma Mass Spectrometer (MC-ICP-MS). The samples were produced in the Veneto region, and they were compared to white and red wines from the same area.
Findings
Sparkling wines present a characteristic elemental pattern compared to white and red ones, with lower content of heavy metals and higher content in REEs. The ratio 87Sr/86Sr resulted in a powerful micro-scale geographical origins marker while Pb ratios as winemaking process one, both useful to prevent possible frauds. Multivariate data analyses, such as PCA and PLS-DA, were used to develop a model of recognition of Venetian sparkling wines.
Originality/value
The good classification of sparkling wines was achieved (95%), proving the suitable use of these analytes as markers for recognising sparkling wines and their geographical origin verification. To the best of the authors’ knowledge, this is the first study investigating heavy metals, REEs and isotopes in Venetian sparkling wine for their recognition.
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Bob McKercher, Bruce Prideaux and Michelle Thompson
The purpose of this paper is to develop a conceptual framework that examines the impacts of changing seasons on tourism.
Abstract
Purpose
The purpose of this paper is to develop a conceptual framework that examines the impacts of changing seasons on tourism.
Design/methodology/approach
The paper presents a conceptual process model of the impact of seasons on all aspects of in-destination tourist behaviour. The model is developed from the literature and is then tested using Cairns, Australia as a case study.
Findings
Seasons influence the actual and perceived range of products/experiences available, which dictate the pull features of a destination, that in turn, influence who comes and why they come. Combined the activity sets and visitor profile define in-destination behaviour and, ultimately, satisfaction.
Research limitations/implications
The study fills a needed research gap in two ways. Firstly, it explains conceptually and then tests empirically how changes in seasons affect the delivery of tourism products and experiences. Secondly, it adds significantly to our understanding of the factors that influence in-destination behaviour.
Practical implications
Managerial implications for destination management organisations are identified.
Originality/value
This paper presents a new conceptual process model for a previously unexamined issue.
研究设计/方法论/方法
本文提出了一个季节影响目的地游客行为的过程的理论模型。该模型基于文献开发而成, 然后以澳大利亚凯恩斯作为案例进行测试。
研究目的
本文的目的是开发一个研究季节变化影响旅游的理论框架。
研究结果
研究发现季节会影响实际和感知的产品或体验的范围, 从而决定一个目的地的吸引力特征。他们反过来可以影响谁来旅游以及他们来旅游的原因。 结合活动和旅游者画像来定义其目的地行为。
理论意义
这项研究从两个方面填补了理论空白。 首先, 它从概念上解释, 然后实证检验了季节的变化如何影响旅游产品和体验的供应。 其次, 它极大地增强了我们对影响目的地行为的因素的理解。
实践意义
本文指出了对目的地管理的实践意义。
原创性/价值
本文针对先前未经考察的问题提出了一种新的理论过程模型。
Diseño/metodología/enfoque
El artículo presenta un modelo de proceso conceptual del impacto de las estaciones en todos los aspectos del comportamiento en en destino turístico. El modelo se desarrolla a partir de la literatura y luego se pone a prueba usando Cairns, Australia como estudio de caso.
Objetivo
El propósito de este artículo es desarrollar un marco conceptual que examine los impactos de los cambios de estación en el turismo.
Recomendaciones
Las estaciones influyen en la gama, real y percibida, de productos/experiencias disponibles que condicionan las características de atracción de un destino. Las estaciones, a su vez, influyen en quién viene y por qué viene. Los conjuntos de actividades combinadas y el perfil del visitante definen el comportamiento en el destino.
Trascendencia
El estudio llena un vacío de investigación necesario de dos maneras. Primero, explica conceptualmente y luego demuestra empíricamente cómo los cambios en las estaciones afectan la oferta de productos y experiencias turísticas. En segundo lugar, contribuye significativamente a la comprensión de los factores que influyen en el comportamiento en el destino.
Implicaciones prácticas
Se identifican las implicaciones de gestión para las organizaciones de gestión de destinos.
Originalidad/valor
Este artículo presenta un nuevo modelo de proceso conceptual para un tema no examinado previamente.
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Nancy J. Adler and Joyce S. Osland
Whereas most societal commentators continue to review the historical patterns of men’s leadership in search of models for 21st-century success, few have begun to recognize, let…
Abstract
Whereas most societal commentators continue to review the historical patterns of men’s leadership in search of models for 21st-century success, few have begun to recognize, let alone appreciate, the equivalent patterns of women’s leadership and the future contributions that women could potentially make as leaders. What could and are women bringing to society as global leaders? Why at this moment in history is there such a marked increase in the number of women leaders? Are we entering an era in which both male and female leaders will shape history, both symbolically and in reality? And if so, will we discover that women, on average, lead in different ways than men, or will we learn that role (global leader) explains more than gender? This chapter reveals the accelerating trends of women joining men in senior leadership positions, establishes the relationship of women leaders to our overall understanding of global leadership, and sets forth an agenda to accomplish much needed research and understanding.
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The chapter seeks to reflect on the dynamics of the reconstruction of family farming and peasant agriculture in agrarian reform settlements (“assentamentos”) in Brazil, exploring…
Abstract
The chapter seeks to reflect on the dynamics of the reconstruction of family farming and peasant agriculture in agrarian reform settlements (“assentamentos”) in Brazil, exploring the limits and potential of government food purchases from family farming, particularly the Food Acquisition Program (Programa de Aquisição de Alimentos – PAA), in the creation of alternative paths of rural development. The work analyzes the different strategies through which farmers and their organizations mobilize public policy instruments and market connections, expanding their room for maneuver and agency capacity. Research was conducted in the Baixo Sul Territory of the state of Bahia, focusing the heterogeneous web of social organizations involved in the implementation of the Food Acquisition Program in this setting.
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Marco Gola, Gaetano Settimo and Stefano Capolongo
Several countries have carried out air quality monitoring in professional workplaces where chemicals are used. Health-care spaces have been less investigated. This paper aims to…
Abstract
Purpose
Several countries have carried out air quality monitoring in professional workplaces where chemicals are used. Health-care spaces have been less investigated. This paper aims to define a protocol, as developed by a research group, for inpatient rooms to understand the state of the art and to suggest design and management strategies for improving process quality.
Design/methodology/approach
Starting from the ISO-16000 standard and guidelines for monitoring activities, a protocol is defined for a one year investigation, with passive samplers. Through data analysis of the investigations and analysis of the cleaning and finishing products, heating, ventilation and air conditioning and maintenance activities, etc., it is possible to highlight the potential influences of chemical pollution.
Findings
A methodology is defined for understanding the chemical pollution and the possible factors related to construction materials, cleaning products and maintenance activities.
Research limitations/implications
The paper analyzes only a limited number of case studies because the monitoring activity is still in progress.
Practical implications
The investigation offers a starting point for a wide tool for the definition of design, maintenance and management strategies in health-care facilities.
Social implications
The research project, aimed at improving the knowledge of indoor air quality (IAQ) in inpatient rooms, is a starting point for a supporting tool for future regulations concerning health-care facilities.
Originality/value
IAQ is an issue on which many governments are focusing. Several health-care researchers have reported studies that aim at improving users’ health. Most investigations are about biological and physical risks, but chemical risks have been less studied. The paper suggests some design and management strategies for inpatient room.
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The purpose of this paper is to autoregressively model the net occupancy rate of beds and bedrooms in hotels and similar accommodations and the nights spent at these…
Abstract
Purpose
The purpose of this paper is to autoregressively model the net occupancy rate of beds and bedrooms in hotels and similar accommodations and the nights spent at these accommodations of Spain for the period of 1990–2023 using monthly data.
Design/methodology/approach
The monthly occupancy rate of hotels and the total number of hotel nights data of Spain for the 1990M01–2023M09 range is considered. An autoregressive deep learning network is developed for the modeling of both metrics. Moreover, the results of the proposed autoregressive deep learning method are compared to those of a classical artificial neural network.
Findings
The actual occupancy rate, total night data and the deep learning model results are compared showing the accuracy of the developed model. Moreover, the R2, mean absolute error, root mean square error and mean absolute percentage error of the models are calculated further demonstrating the high performance of the developed model. The R2 values higher than 0.9 are achieved for both occupancy rate and total number of hotel nights data.
Practical implications
The modeling results given in this paper demonstrate that the previous values of the net occupancy rate and the total number of nights can be used as inputs of a deep learning network model by which accurate forecasts can be made for the future values of the occupancy rate and the total number of hotel nights. This modeling approach possesses importance from the practical viewpoint considering that the accurate planning and forecast of the net occupancy rate and the total number of nights affect the tourism income.
Originality/value
This study differs from existing literature by attempting to model the occupancy rate and the total number of hotel nights data autoregressively using deep learning networks.
研究目的
本研究旨在通过自回归方式对西班牙酒店及类似住宿的床位和房间的净入住率以及这些住宿的过夜天数进行建模, 时间范围为1990年至2023年, 使用月度数据。
研究方法
本研究使用了1990年1月至2023年9月期间西班牙酒店的月度入住率和总过夜天数数据, 开发了一个用于这两个指标建模的自回归深度学习网络。此外, 提出的自回归深度学习方法的结果与经典的人工神经网络进行了对比。
研究发现
实际的入住率和总过夜天数数据与深度学习模型的结果进行了对比, 显示出所开发模型的准确性。此外, 计算了模型的R2、MAE、RMSE和MAPE, 进一步证明了所开发模型的高性能。对于入住率和总过夜天数数据, R2值均超过0.9。
研究创新
本研究与现有文献的不同之处在于, 尝试使用深度学习网络自回归建模入住率和总过夜天数数据。
实践意义
本文给出的建模结果表明, 净入住率和总过夜天数的先前值可作为深度学习网络模型的输入, 进而对未来的入住率和总过夜天数进行准确预测。考虑到净入住率和总过夜天数的准确规划和预测会影响旅游收入, 从实际角度来看, 这种建模方法具有重要意义。
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Giuliana Galli Carminati, Federico Carminati, Rachel Lehotkay, Erica Nora Lorincz, Viviane Subirade-Jacopit, Elisa Rondini and Marco O. Bertelli
The purpose of this paper is to evaluate the relationship between some main characteristics of different living arrangements and the quality of life (QoL) of their users with…
Abstract
Purpose
The purpose of this paper is to evaluate the relationship between some main characteristics of different living arrangements and the quality of life (QoL) of their users with severe intellectual disability and low-functioning autism spectrum disorders.
Design/methodology/approach
Study participants were assessed for ASD severity through the Childhood Autism Rating Scale or the Vineland Adaptive Behavior Scales (VABS): for behavioral problems with the aberrant behavior checklist (ABC); for perception of efficacy and satisfaction with care, through an adapted Visual Analogue Scale; and for QoL with the QoL inventory in residential environments (validated in French as Inventaire de la Qualité de Vie en Milieu Résidentiel). Because the goal was to define a “residential profile (RP),” the authors evaluated each participating residence with the Working Methods Scale and the questionnaire on residential parameters.
Findings
The RP allowed for the classification of the residences into three clusters. The authors found no clear relationship between QoL and the RP clusters, but the authors found the RP clusters to be significantly correlated with ABC factors F1 (irritability, agitation, crying) and F2 (lethargy, social withdrawal), and VABS scores for living, socialization, and motor skills.
Originality/value
RPs were more strongly correlated with ABC items and the ability to cope with everyday life than with QoL. The authors hypothesize that RP is correlated with both aberrant behavior and the autonomy of residents and that QoL remains relatively stable. Therefore, RP is correlated with the status of the residents; however, this appears not to be correlated with their QoL.
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Sourav Mondal, Saumya Singh and Himanshu Gupta
In recent years, “Corporate Social Responsibility” (CSR) has gained significant traction as a strategic concept embraced by business managers. However, there remains a dearth of…
Abstract
Purpose
In recent years, “Corporate Social Responsibility” (CSR) has gained significant traction as a strategic concept embraced by business managers. However, there remains a dearth of comprehensive research exploring the impact of CSR on “Green Entrepreneurial Orientation” (GEO), a firm’s sustainability performance, and their interplay with other influential factors. Therefore, this study aims to explore how CSR, “Policy Awareness” (PA), and “Personal Innovativeness” (PI) influence GEO and “Sustainable Performance” (SP). The research also delves into understanding the mediating role of GEO and how this mediation is moderated by “Green Innovation” (GI).
Design/methodology/approach
Drawing from the “natural resource-based view” (NRBV) theory and employing “partial least square structural equation modeling” (PLS-SEM), the study analyzed a sample of 137 Indian manufacturing “micro, small, and medium enterprises” (MSMEs).
Findings
The results underscore the positive associations of CSR and PA with both GEO and SP. Additionally, the findings highlight the moderating effects of GI in enhancing firms' sustainability performance. The moderated mediation analysis reveals that CSR significantly contributes to SP by fostering the adoption of GEO.
Research limitations/implications
These study outcomes offer valuable insights for policymakers, managers, and entrepreneurs, emphasizing the importance of crafting effective CSR strategies intertwined with innovativeness to cultivate a conducive green entrepreneurial ecosystem in businesses aligned with sustainable development goals.
Originality/value
There is a paucity of research on the determinants of GEO within the context of manufacturing MSMEs, especially in developing and underdeveloped nations. Furthermore, no previous study has delved into the factors that underlie GEO using a moderated mediation framework, particularly within the Indian manufacturing MSMEs landscape.
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Samuel Façanha Câmara, Felipe Roberto da Silva, Francisco Roberto Pinto and Marcelo de Oliveira Soares
This research aims to identify Brazil's socioeconomic vulnerability to wicked multi-problems arising from coronavirus disease 2019 (COVID-19) (2019–2020), from the most extensive…
Abstract
Purpose
This research aims to identify Brazil's socioeconomic vulnerability to wicked multi-problems arising from coronavirus disease 2019 (COVID-19) (2019–2020), from the most extensive (∼ 3,000 km) oil spill in tropical oceans (2019/2020) and from the highest rate of wildfires in the last decade.
Design/methodology/approach
To this end, the authors measured the socioeconomic vulnerabilities of the 27 Brazilian states to these multi-problems (COVID-19 + Oil Spill + wildFire), considering the effects of these events individually and together. In addition, the authors calculated the vulnerability indices using two variables: production value and number of jobs created by an economic activity.
Findings
Results show the states of São Paulo, Minas Gerais, and Rio de Janeiro as the most susceptible, with a potential loss of 74.2% in production value and 47% in active employment relationships, caused by these overlapping events in time. The results also demonstrate that the country has failed in the coordination and management of these events (separately and jointly), showing difficulties especially in the stages of immediate response and recovery.
Originality/value
Regarding its contributions, this paper innovates by establishing an unprecedented overlap of wicked problems, linking this concept to the analysis of socioeconomic vulnerability of the affected communities, through a model that applies to other regions worldwide.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2021-0536