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C'est avec une certaine joie et une satisfaction toute particulière que je vous souhaite la bienvenue à ce 36e Congrès qui se tient dans mon pays natal, pays qui est en même temps le siège de notre association. Ce dernier fait n'est pas un hasard puisque c'est précisément à Lugano qu'en 1959, à l'invitation des prof. Hunziker et Krapf, différents scientifiques du tourisme se sont retrouvés afin de promouvoir la recherche touristique d'après‐guerre. Depuis que notre association existe — et l'indication “36e Congrès” précise également l'âge de l'AIEST — nous nous sommes déjà rencontrés en Suisse, en 1958 et en 1960 et je me souviens qu'en 1960 déjà nous avons eu l'occasion d'apprécier la gastronomie du Château de Chillon, ou aura lieu notre banquet de clôture.

With risk defined as the possibility of deviation in the results from the expected goals, business process reengineering (BPR) initiatives clearly involve risk taking. However, due to the high expected returns of such efforts, the acceptable risk levels of BPR will tend to be greater than those of less ambitious projects. This research reports the development of a tool to quantitatively estimate the potential risk level of a BPR effort before an organization commits its resources to that effort. The underlying research employed a survey of BPR‐experienced organizations to collect assessment information in order to build a BPR risk estimation model. The developed tool uses triangular fuzzy numbers to approximate the degree of success/failure of proposed BPR initiatives. The tool can be applied by any organization contemplating BPR, thus giving such organizations a heretofore unavailable estimate of the risk level of proposed BPR efforts. Validation was performed based upon an 18‐month BPR project conducted at the Missouri Lottery.

The evolution of the tourist industry has also led to a change in the provision of hospitality, which was previously concentrated on reception activities, but now includes a series of complementary activities which can be defined as “post‐reception” or, in some cases “post‐tourism” activities.

We remind you of the 31st AIEST Congress, 13–19 September 1981 in Cardiff (Wales) . The Congress‐Publication with the main reports about Leisure‐Recreation‐Tourism is published now and can be obtained by the AIEST Secretary, P.O.Box 2597, CH‐3001 Berne (sfrs. 33)

This paper aims at building a discharge model for the power cable bellows based on plasma energy deposition and analyzing the discharge ablation problem.

Aiming at the multiphysical mechanism of the discharge ablation process, a multiphysical field model based on plasma energy deposition is established to analyze the discharge characteristics of the power cable bellows. The electrostatic field, plasma characteristics, energy deposition and temperature field are analyzed. The discharge experiment is also carried out for result validation.

The physical mechanism of the bellows ablative effect caused by partial discharge is studied. The results show that the electric field intensity between the aluminum sheath and the buffer layer easily exceeds the pressure resistance value of air breakdown. On the plasma surface of the buffer layer, the electron density is about 4 × 1,019/m³, and the average temperature of electrons is about 3.5 eV. The energy deposition analysis using the Monte Carlo method shows that the electron range in the plasma is very short. The release will complete within 10 nm, and it only takes 0.1 s to increase the maximum temperature of the buffer layer to more than 1,000 K, thus causing various thermal effects.

Its physical process involves the distortion of electric field, formation of plasma, energy deposition of electrons, and abrupt change of temperature field.

Based on social information processing theory, this paper aims to explore how and when leader self-deprecating humor may spark subordinate learning from failure. The authors cast perspective taking as a novel explanatory mechanism for this indirect effect, and further consider leader–member exchange as a boundary condition of the relationship.

The authors tested the hypotheses by conducting a multiwave and multisource survey of 604 members from 152 teams in a Chinese high-technology company.

Results of multilevel path analyses demonstrate that leader self-deprecating humor positively influences subordinate learning from failure via perspective taking. Further, this mediation effect is stronger at higher levels of leader–member exchange.

This study contributes to the theoretical understanding of the relationship between leader self-deprecating humor and subordinate learning from failure. However, the research design was not longitudinal or experimental, and thus the authors were unable to make strong inferences about absolute causality.

The work yields useful insights for practitioners aiming to encourage subordinates to learn from failure.

This study provides evidence that leader self-deprecating humor can stimulate subordinate learning from failure via perspective taking, and the indirect effect is further strengthened by leader–member exchange. The findings offer new directions for research on leader self-deprecating humor and learning from failure.

The aim of this paper is to assess whether the inclusion of the rental housing market affect the dynamics of the real business cycles (RBCs).

For this investigation, the authors model and estimate two dynamic stochastic general equilibrium (DSGE) versions for the US economy, one with and one without the presence of residential rent.

The findings provide evidence that the inclusion of the rental housing market can improve the assessment of public policies and the projection of scenarios in the face of sudden macroeconomic shocks. The addition of this secondary housing market augments the effect of total factor productivity (TFP) shock on output and consumption. In addition, it increases the effect of the credit shock on the demand for housing. The latter highlights the role of credit for the real estate market. Therefore, the authors recommend that analysts and macro-prudential authorities consider adding it to their models.

The findings provide evidence that the inclusion of the rental housing market can improve the assessment of public policies and the projection of scenarios in the face of sudden macroeconomic shocks.

Several theoretical models have been developed to describe the process of successful team adaptation. Testing the models through empirical research is lacking. This study aims to empirically examine the way teams adapt to unexpected or novel circumstances and investigate the four-phase team adaptation process (i.e. situation assessment → plan formulation → plan execution → team learning), as proposed by Rosen et al. (2011).

To test the positive relationship between the four team adaptation phases and their suggested sequence, a cross-sectional field study was conducted. Data were collected from 23 teams participating during an 8-week team project.

Results from random intercept models confirmed that the team adaptation process consisted of four phases that were positively related to each other. As expected, plan formulation mediated the positive relationship between situation assessment and plan execution. However, team learning was independently related to all three previous phases, and not only to situation assessment as theory suggests.

To the best of the authors’ knowledge, the present study is one of the first attempts to test the theoretical model of the team adaptation process presented by Rosen et al. (2011). Findings illustrated that the team adaptation process is not a simple four-phase sequence, but it constitutes four dynamic phases that are strongly interrelated to each other.

The study investigates the effectiveness of government policies to mitigate the impact of a pandemic. The study adopts the small open economy of Nigeria for the following reasons. First, Nigeria is the largest economy in SSA. Second, Nigeria was also significantly impacted by the COVID-19 pandemic.

The study employed the time-varying structural autoregressive (TVSVAR) model to control for the potential asymmetry in fiscal variables and to control for the shift in the structural shift, following a macroeconomic shock. As a form of robustness, the study also implements the time-varying Granger causality to formally assess the temporal instability of the variable of interest.

The results show that an oil price shock is an important source of macroeconomic instability in Nigeria. Importantly, the results indicate that the effects of fiscal policy are strongly time varying. Specifically, the results show that fiscal policy helps to stabilize the economy, (i.e. they help to reduce inflation and spur output growth) following macroeconomic shock. Further, the Granger test shows that fiscal policy helped to spur growth in Nigeria. The research and policy implications are discussed.

The study accounts for the time-varying effects of fiscal policy.