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On sait que la statistique touristique a pour but de recueillir, à l'aide de moyens d'observation appropriés, des données se rapportant à tous les phénomènes relatifs au tourisme, d'utiliser les renseignements recueillis pour mettre en évidence les caractéristiques desdits phénomènes et, en outre, d'essayer de trouver les causes ou les circonstances déterminantes de leurs variations quantitatives, de même que les modifications de leurs multiples aspects qualitatifs.

C'est certainement un mérite de la part des experts d'avoir déduit de tels rapports «en moyenne historique», de la seule connaissance de données «locales», sans rien connaître des liens naturels existant entre plusieurs étapes individuelles, c'est‐à‐dire sans la connaissance — jusqu'ici pratiquement impossible à avoir — de séries statistiques opportunes, décrites par les nombres des étapes des touristes individuels et les effectifs correspondant à ces nombres, ainsi que de séries statistiques décrites par les nombres des journées indiquant les séjours totaux de ces touristes et les effectifs correspondants. Aujourd'hui pourtant il ne suffit plus, évidemment, d'étudier le tourisme en s'appuyant sur des valeurs moyennes ayant pour base la totalité des voyageurs, valeurs qui ont une signification représentative réduite; il faut le faire par groupes distincts de touristes du même type, groupes qui dans la multitude des touristes existent certainement sous des aspects divers.

Extant research on job insecurity has traditionally investigated this construct as a hindrance stressor, based on theoretical developments and meta-analytical results that have shown consistent negative relationships between job insecurity and a host of organizational outcomes. In this chapter, the authors take a person-centered perspective based on the transactional theory of stress and argue that employees can and do appraise job insecurity in different ways which is manifested by qualitatively distinct latent profiles. The authors also argue that certain positive psychological variables (i.e., hope, optimism, self-efficacy, and grit) might influence one’s odds to belong to specific appraisal latent classes. Using a cross-lagged dataset of 322 US-based employees, the authors found evidence of five qualitatively different latent profiles (i.e., employees who viewed job insecurity as: (1) irrelevant, (2) simultaneously moderately challenging and hindering, (3) primarily hindering, (4) both highly challenging and highly hindering, or (5) primarily challenging). Further, the results showed that higher grit was associated with higher odds of belonging to any of the appraisal profiles compared to the high challenge/high hindrance group whereas higher self-efficacy was associated with higher odds of belonging to the irrelevant group compared to any of the appraisal profiles. Hope and optimism, however, did not influence latent class membership. The authors discuss the implications for theory and practice considering seemingly paradoxical findings demonstrating sometimes positive and sometimes negative outcomes of job insecurity, as well as traditional assumptions that employees primarily view job insecurity as either a hindrance or a challenge.

Given the urgency of corporate engagement in sustainable development, companies seek ways to involve their employees in sustainability efforts. In this regard, gamified systems have gained attention as a novel tool to promote sustainable employee behavior. However, as the research field matures, researchers and practitioners are confronted with a scattered academic landscape that makes it difficult to grasp how gamification can be designed to engage employees in sustainable behavior and to understand how gamification effects unfold at psychological, behavioral and corporate levels of sustainability.

This paper uses a systematic literature review to consolidate the existing knowledge on gamification designs and their effects on sustainable employee behavior.

Studies have explored a variety of utilitarian and achievement-, immersion- and social-related gameful affordances to promote positive behavior- and system-related psychological effects as a basis for employee engagement in sustainable behavior. However, the evidence regarding their impact on rational decision-making processes and overcoming the intention-action gap inherent in sustainability is still limited. Nevertheless, several studies in focused areas indicate the potential to elicit behavioral changes that drive sustainability outcomes at the corporate level as well.

Our study provides three main contributions. First, we develop a conceptual framework that illustrates how gamification can drive sustainable behavior in the workplace. Second, we derive seven agenda points to guide future research on gamification for corporate sustainability. Third, we deduce three practical approaches to use gamification as a strategic intervention to promote sustainable behavior in organizations.

Machine learning (ML) has recently gained momentum as a method for measurement in strategy research. Yet, little guidance exists regarding how to appropriately apply the method for this purpose in our discipline. We address this by offering a guide to the application of ML in strategy research, with a particular emphasis on data handling practices that should improve our ability to accurately measure our constructs of interest using ML techniques. We offer a brief overview of ML methodologies that can be used for measurement before describing key challenges that exist when applying those methods for this purpose in strategy research (i.e., sample sizes, data noise, and construct complexity). We then outline a theory-driven approach to help scholars overcome these challenges and improve data handling and the subsequent application of ML techniques in strategy research. We demonstrate the efficacy of our approach by applying it to create a linguistic measure of CEOs' motivational needs in a sample of S&P 500 firms. We conclude by describing steps scholars can take after creating ML-based measures to continue to improve the application of ML in strategy research.

Demonetization and pandemic-related restrictions in India propelled the usage of mobile payments (M-payments). The culture of online smartphone transactions is expected to rise over the coming years, even after things return to normal. This study aims to unveil the factors that escalate the satisfaction levels of M-payment users and eventually stimulate them to continue using M-payments for their daily activities.

This study evaluated the intention to continue using M-payments for 710 users utilizing structural equation modeling and augmenting the technology acceptance model (TAM) as well as the expectation confirmation model (ECM). Mediation and moderation analysis examined the proposed model's direct and indirect relationships.

The findings unveil that perceived value co-creation participation, service quality and cognitive processing magnify user satisfaction, significantly escalating M-payment continuance usage intention. Perceived value co-creation participation and user satisfaction with M-payment partially mediate the linkage among the constructs. Furthermore, perceived usefulness strengthens the link, while perceived severity of security threats weakens the linkage between user satisfaction with M-payment and continuance usage intention.

The study's findings could benefit M-payment service providers, users, policymakers and the telecom industry to strengthen India's digital payment framework.

The perceived value co-creation participation and cognitive processing domain have not garnered much attention in the M-payment literature. The study strives to comprehend these constructs by widening the purview of TAM and ECM models. It also measures the moderating role of perceived severity of security threats and perceived usefulness to unfurl potential linkages between the identified constructs.

The purpose of this paper is to investigate the impact of diversity climate and inclusion climate on safety participation behaviors through the mediating effect of the motivation to actively promote safety at work.

Participants were 491 workers employed in four Italian metal-mechanical companies. They completed a paper questionnaire containing measures of psychological diversity climate, psychological inclusion climate, safety motivation participation and safety participation behaviors. Data were analyzed with structural equation modeling.

Results showed that safety participation motivation fully mediates the relationship between diversity climate and safety participation behaviors, whereas it partially mediates the relationship between climate for inclusion and safety participation behaviors.

The present findings can help managers to motivate employees in pursuing safety goals independently of compensation or obligation by creating an organization in which the main concern is caring for each other’s well-being.

This is the first study which has empirically tested the relationships between diversity climate, inclusion climate and safety behaviors. It has extended previous research which simply tested the effects of objective types of diversity on safety performance.

The purpose of this paper is to evaluate the seasonal and spatial variations in the statistical descriptors of the Markov chain model as well as the expected values of the length of dry and wet days and to estimate the probability of dry and rainy sequences in the state of Santa Catarina.

Daily rainfall data from 1970 to 2013 of five rainfall stations in the state of Santa Catarina were used. To model the sequence of dry and wet days, the first order of the Markov chain was used. The statistical descriptors of the Markov model were evaluated, as well as the expected values of the length of dry and wet days and the number of dry and rainy days for each month. Along with geometric distribution, the probability of occurrence of sequences of dry and rainy days was determined. The adherence of the data to geometric distribution was evaluated using the Kolmogorov-Smirnov test.

The results showed that there is a seasonal and spatial variation in Markov model descriptors and also in the duration of the dry and rainy periods. These variations may be related to the mechanisms responsible for the formation and distribution of rainfall in the state, such as the air masses and relief. The Lages station, located in the Plateau of Santa Catarina, had the highest P₀₀ values, reflecting more stable conditions of the atmosphere. In autumn and winter, no marked differences were found between the coastal stations and west of the state. The geometric distribution was adequate for estimating the probability of dry and rainy days.

Although some work has already been carried out on the modeling of the Markov chain in the state of Santa Catarina, this study was found to be more complete with the use of various statistical descriptors of the model and its application in estimating the duration of the cycles of dry and wet periods and the number of rainy days in the period.

Purpose: This conceptual paper aims to identify how financial inclusion relates to sustainability and the level of sustainable development.

Methodology: The paper used discourse analysis to identify how financial inclusion relates to sustainability and the level of sustainable development.

Finding: The paper argued that granting access to basic formal financial services contributes to greater sustainable development by ensuring that access to finance is guaranteed sustainably, and basic financial services are provided sustainably and based on sustainability principles to yield a lasting impact for sustainable development. The paper also argued that financial inclusion increases the level of sustainable development because financial inclusion increases the economic opportunities and social welfare of banked adults while it only provides limited benefits for the environment. This approach links financial inclusion to sustainable development by adopting sustainability principles in offering basic financial services to banked adults.

Implication: Consequently, a synergy between financial inclusion and sustainable development is needed. The synergy should be based on sustainability principles, requiring policies integrating financial inclusion into the sustainable development agenda.

Originality: This paper is the first to identify the relationship between the financial inclusion agenda, the sustainable development agenda and the sustainability agenda.

We exploit the international comparability and the longitudinal dimension of the Survey of Health, Ageing and Retirement in Europe to look at regional and cohort differences in disease prevalence across European regions. We find a significantly higher probability of reporting cardiovascular diseases among older Eastern European women than among other Europeans. Moreover, we observe a worsening in health conditions for younger cohorts.