Vicente Ramos, Woraphon Yamaka, Bartomeu Alorda and Songsak Sriboonchitta
This paper aims to illustrate the potential of high-frequency data for tourism and hospitality analysis, through two research objectives: First, this study describes and test a…
Abstract
Purpose
This paper aims to illustrate the potential of high-frequency data for tourism and hospitality analysis, through two research objectives: First, this study describes and test a novel high-frequency forecasting methodology applied on big data characterized by fine-grained time and spatial resolution; Second, this paper elaborates on those estimates’ usefulness for visitors and tourism public and private stakeholders, whose decisions are increasingly focusing on short-time horizons.
Design/methodology/approach
This study uses the technical communications between mobile devices and WiFi networks to build a high frequency and precise geolocation of big data. The empirical section compares the forecasting accuracy of several artificial intelligence and time series models.
Findings
The results robustly indicate the long short-term memory networks model superiority, both for in-sample and out-of-sample forecasting. Hence, the proposed methodology provides estimates which are remarkably better than making short-time decision considering the current number of residents and visitors (Naïve I model).
Practical implications
A discussion section exemplifies how high-frequency forecasts can be incorporated into tourism information and management tools to improve visitors’ experience and tourism stakeholders’ decision-making. Particularly, the paper details its applicability to managing overtourism and Covid-19 mitigating measures.
Originality/value
High-frequency forecast is new in tourism studies and the discussion sheds light on the relevance of this time horizon for dealing with some current tourism challenges. For many tourism-related issues, what to do next is not anymore what to do tomorrow or the next week.
Plain Language Summary
This research initiates high-frequency forecasting in tourism and hospitality studies. Additionally, we detail several examples of how anticipating urban crowdedness requires high-frequency data and can improve visitors’ experience and public and private decision-making.
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Vicente Ramos, Javier Rey‐Maquieira and Maria Tugores
This paper compares the training requirements of alternative tourism development strategies which are differentiated by the quality of service offered. The paper focuses on the…
Abstract
This paper compares the training requirements of alternative tourism development strategies which are differentiated by the quality of service offered. The paper focuses on the Balearic Islands and use an original database that consists of a representative sample of Balearic hotels. This database includes data on both employers and employees and allows us to identify differences in job characteristics, as well as differences in human capital, with respect to both education and on‐the‐job training, depending on the category of the hotel. The article uses a discrete choice model to identify the characteristics of both employer and employee that determine the provision of training. It concludes that educational level is not a strong constraint on the mobility of workers between categories, and we show that on‐the‐job training has a role to play in the transition to alternative tourism development strategies.
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Raquel Chafloque-Cespedes, Aldo Alvarez-Risco, Paula-Viviana Robayo-Acuña, Carlos-Antonio Gamarra-Chavez, Gabriel-Mauricio Martinez-Toro and Wagner Vicente-Ramos
This chapter is designed with the aim to determine the influence of sociodemographic variables on the capacity to generate social enterprises, such as sex, the student’s country…
Abstract
This chapter is designed with the aim to determine the influence of sociodemographic variables on the capacity to generate social enterprises, such as sex, the student’s country, if only they study or if they study and work, as well as if they participate or direct a social enterprise in university students of Latin American business schools. This research adopted an inductive quantitative approach using a questionnaire. The participants were university students of business schools from Colombia, Mexico and Peru. Second-generation structural equation method (SEM-PLS) was used to analyse the results, using the SmartPLS 3.2.7 software applied to data on 3,739 university students. The results suggest that the entrepreneur role, labour situation, country and sex have a moderating effect in the relation between entrepreneurial orientation and entrepreneurial intention. Also, by using resampling technique Bootstrapping (5,000 times,p < 0.01), significance of the trajectory coefficients (beta) and effect size of the coefficients (beta) were measured to demonstrate significance. Finally, with this research the authors ascertain that entrepreneurial orientation positively influences entrepreneurial intention. thus explaining 42.4% of its variance. This chapter is the first attempt on investigating in university students of Latin American business schools about factors of entrepreneurship orientation and entrepreneurship intention, and has strong potential to contribute to development of policies and strategies to promote the growth of entrepreneurship activities in the universities.
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Arch G. Woodside, Vicente Ramos Mir and Mariana Duque
The purpose of this article is to propose and test empirically tourism ' s destination dominance and marketing website usefulness hypothesis (TDDH). The study proposes a…
Abstract
Purpose
The purpose of this article is to propose and test empirically tourism ' s destination dominance and marketing website usefulness hypothesis (TDDH). The study proposes a multi-item metric for marketing website usefulness. The main hypothesis is that the usefulness of a destination ' s marketing website associates positively with the dominance of tourism in the destination.
Design/methodology/approach
The following ratio defines tourism ' s destination dominance: the number of tourists visiting annually to a destination ' s residential population. The method includes creating a multi-item metric for judging the usefulness of a destination ' s marketing website. The study applies the metric in evaluating the usefulness of 40 destination marketing websites.
Findings
The study ' s findings indicate a significant relationship between tourism destination dominance and marketing website usefulness. The effect size of this relationship is small. The small effect size indicates that some destinations with relatively few tourists (relative to the destination ' s residential population) do include substantial amounts of information in their websites and some destinations with relatively many tourists do not do so.
Research limitations/implications
The usefulness of a destination ' s website for potential visitors does not relate substantially to tourism ' s dominance in the destination. Some destinations with relatively few tourists are highly competent in designing websites that are highly useful for potential visitors.
Originality/value
Providing a discussion of alternative tourism destination dominance metrics, confirming the view that destination marketing websites vary in their usefulness for potential visitors and offering a metric for testing usefulness are the valuable contributions of the study.
Munish Gupta, Vikas Sharma and Nasima Mohamed Hoosen Carrim
Employee performance and job satisfaction are crucial factors that influence organizational success, particularly in the insurance industry. The advent of data-driven approaches…
Abstract
Introduction
Employee performance and job satisfaction are crucial factors that influence organizational success, particularly in the insurance industry. The advent of data-driven approaches has led to the emergence of Employee-Performance Data Management (EPDM) practices, which play a pivotal role in shaping employee outcomes. This study, with its clear focus on the impact of EPDM on job satisfaction within the insurance sector, aims to provide an understanding of this relationship, employing a positivist perspective grounded in existing theories.
Purpose
The primary objective of this research is to investigate the influence of EPDM variables, such as data integration, technology integration, and ethical considerations, on job satisfaction among employees in the insurance industry.
Methodology
We adopted a causal-comparative research design. This design allowed us to discern the cause-and-effect relationships among the variables under study. We collected data through structured questionnaires, ensuring a diverse sample of 415 employees across various job roles within the insurance sector. Our analytical framework encompassed multiple regression analysis, f-tests, t-tests, and calculations of means and standard deviations, all of which were used to rigorously assess the data.
Findings
Our study's findings have significant implications for the insurance industry. We found that aspects of EPDM variables, including data integration, technology integration, and ethical consideration, have a profound impact on job satisfaction. These results underscore the critical role of effective data management in enhancing employee outcomes. They also highlight the need for insurance companies to invest in robust data management strategies, potentially leading to improved job satisfaction and enhanced organizational performance.
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Paul Jones, Nikolaos Apostolopoulos, Alexandros Kakouris, Christopher Moon, Vanessa Ratten and Andreas Walmsley
Universities are increasingly looking at entrepreneurship as a way to bridge theory and practice. This is important in these challenging times when unexpected events and…
Abstract
Universities are increasingly looking at entrepreneurship as a way to bridge theory and practice. This is important in these challenging times when unexpected events and occurrences take place. It is becoming more important for universities to respond in an entrepreneurial manner to new trends to capitalise on learning and research opportunities. The aim of this chapter is to discuss how universities are acting in an entrepreneurial way by responding to educational and social challenges. This will help to understand fruitful new areas of teaching, research, service and engagement that can occur in a university setting based on entrepreneurial thinking.
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Christian A. Cancino and Bruce Lezana
This chapter studies how entrepreneurship research has evolved at the Latin American level. Using the database available in the Web of Science Core Collection, a period-by-period…
Abstract
This chapter studies how entrepreneurship research has evolved at the Latin American level. Using the database available in the Web of Science Core Collection, a period-by-period bibliometric analysis is carried out to identify possible changes in research trends over time. On the one hand, the results show that in the period 2000–2006, research focuses mainly on rural development, community development and financial resources. On the other hand, in the period 2007–2013, the research priority is related to international entrepreneurship, private capital raising and studies based on the Global Entrepreneurship Monitor (GEM). Finally, during the period between 2014 and 2020, research focused mainly on self-employment, family businesses, promotion of angel investor networks, venture capital, and female entrepreneurship. The results of this study may be of interest to academics, researchers, and policymakers to understand the evolution of this topic in recent decades and to promote entrepreneurship and innovation in the region.
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Rita Asplund and Wiemer Salverda
This special issue of the International Journal of Manpower aims to make a contribution to broadening our limited understanding of the role and impact of employer‐provided…
Abstract
This special issue of the International Journal of Manpower aims to make a contribution to broadening our limited understanding of the role and impact of employer‐provided training for low‐skilled service sector workers. It brings together seven of the papers that were presented at the international conference “Adapting Education and Training for the Enhancement of Low‐Skilled Jobs” held at Helsinki in May 2002. The papers are situated at the crossroads where three different strands of research and policymaking meet: the training of the low skilled, the system of vocational training and the role of training for the service sector. The contributions cover an interesting variety of European countries: Ireland, Germany, the Netherlands, Austria, Sweden, Spain and the UK, with diverging levels of low‐skilled (un)employment, vocational training and service‐sector employment.
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Valeria Nepote, Maria Carla Lábaque, Patricia Raquel Quiroga, Pamela Maria de Lujan Leiva, Arley Rey Paez, Carlos Ignacion Piña and Melina Soledad Simoncini
The aim of the paper is to compare consumer acceptance, sensory analysis and volatile compounds of caiman meat with regard to surubí fish and chicken meat.
Abstract
Purpose
The aim of the paper is to compare consumer acceptance, sensory analysis and volatile compounds of caiman meat with regard to surubí fish and chicken meat.
Design/methodology/approach
Caiman tail, chicken thigh and surubí meats' cuts were cooked in a pan with little oil and salt. The affective tests of acceptance (9-points hedonic scale) and preference ranking were evaluated by 80 consumers. Sensory analysis carried out by eight trained panelists described attributes' intensities on an unstructured linear scale (0–150 mm). Volatile compounds were analysed by solid-phase micro-extraction and gas chromatography/mass spectrometry GC–MS.
Findings
Caiman meat had good acceptance values of 6–7 (“like slightly” to “like moderately”), being similarly preferred to surubí but less than chicken. The ratings of bitterness, hardness, fibrous appearance, fibrous texture and cohesiveness were higher and raw colour, characteristic flavour and oiliness were lower in caiman's meat than in the others. Caiman meat had lower juiciness than chicken but similar to surubí. Caiman showed lower levels of aldehydes than chicken, lower level of hydrocarbons and higher levels of acids and esters than the other meats. Alcohols, mainly found in caiman and chicken meat, were positively associated to aroma acceptance. Hydrocarbons, mainly found in surubí meat, were positively associated with the characteristic flavour and negatively correlated with aroma acceptance. Volatile composition of meats was related to their sensory attributes and consumer acceptance.
Originality/value
Given that caiman meat showed similar acceptance and preference to that of surubí, it could be considered a good quality meat, helping promote current programmes of sustainable use of natural resources.