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Meetings, incentives, conferences and exhibitions (MICE) tourism has established as a tourism segment that is growing in popularity. It is less seasonality dependent, promotes the offer of services and contributes to the development of the sector. Therefore, this study aims to analyze the competitiveness factors for the improvement of MICE tourism in the city of Mazatlan.

It was developed with a mixed approach, using quantitative and qualitative data collection techniques, such as interviews with experts, surveys of stakeholders in the tourism sector and documentary analysis. Based on the theoretical review, the following four competitiveness factors were defined for MICE tourism: 1) resource factors, 2) destination management factors, 3) conditioning factors of the environment and 4) conditioning factors of the demand, applying and importance-performance analysis.

The results indicate that the factors of competitiveness in the case of the study that had greater importance and better performance are the conditioning factors of the demand and resource factors. However, the development and implementation of comprehensive destination management strategies are required to improve this segment, as well as giving due importance to taking into account the important conditioning factors of the environment.

This study makes a theoretical contribution to the literature on the competitiveness of tourist destinations in the MICE segment by identifying the factors for its development, as well as the practical implications for the specific case study. In addition to this, it was identified that there are few empirical studies that analyze the factors that contribute to improving the competitiveness of this segment.

This chapter first analyzes how the data-cleaning process affects the share of missing values in the extracted European and North American datasets. It then moves on to examine how three different approaches to treat the issue of missing values, Complete Case, Multiple Imputation Chained Equations (MICE), and K-Nearest Neighbor (KNN) imputations affect the number of firms and their average lifespan in the datasets compared to the original sample and assessed across different SIC industry divisions. This is extended to consider implied effects on the distribution of a key performance indicator, return on assets (ROA), calculating skewness and kurtosis measures for each of the treatment methods and across industry contexts. This consistently shows highly negatively skewed distributions with high positive excess kurtosis across all the industries where the KNN imputation treatment creates results with distribution characteristics that are closest to the original untreated data. We further analyze the persistency of the (extreme) left-skewed tails measured in terms of the share of outliers and extreme outliers, which shows consistent and rather high percentages of outliers around 15% of the full sample and extreme outliers around 7.5% indicating pervasive skewness in the data. Of the three alternative approaches to deal with missing values, the KNN imputation treatment is found to be the method that generates final datasets that most closely resemble the original data even though the Complete Case approach remains the norm in mainstream studies. One consequence of this is that most empirical studies are likely to underestimate the prevalence of extreme negative performance outcomes.

Web Summit is an annual technological event which takes place annually in November and has great worldwide impact. The event fits into the MICE (meetings, incentives, conventions and exhibitions) typology and has mega-event proportions, not only due to the number of participants but also in relation to its media coverage. The aim of this study is to analyse the participation of Web Summit participants in leisure activities outside the event, namely regarding entertainment and culture and heritage. It was also intended to know their perception of the city's brand image, according to the participants' age and the number of days they stay in the city.

This investigation is anchored in a quantitative methodology. Data were collected during the four days of the event from a convenience sample of 410 participants. For this purpose, a 15-item questionnaire was used, specifically designed to meet the study's objectives, assessing three dimensions: entertainment, culture and heritage and brand image.

Entertainment and culture and heritage positively influence tourists' perception of brand image. It was also possible to ascertain that the age of the tourists and their interest in culture and heritage are correlated. Finally, it was found that tourists' perception of entertainment varies depending on the number of days they stay in Lisbon.

The main limitation of the study is related to the fact that a convenience sample was used in a single destination, which does not allow generalization to other contexts. Therefore, it would be interesting to apply the study in other geographical and cultural contexts, particularly in Rio de Janeiro, where the event will also take place next year (2023).This research contributes to extending the reflection on the role that events play in the brand image of a tourist destination. This study also highlights the importance of understanding consumer behaviour in MICE typology events.

The MICE sector plays an important role in the tourism industry as it constitutes a driving force of the global economy. Thus, it is considered that this research draws attention to the importance of the regions invested in this sector (e.g. expansion of facilities, ease of access to the site). Thus, in practical terms, the findings allow the authorities and the different stakeholders to better understand the impact of the event on the city's image and, at the same time, adapt the services according to the attendees' preferences.

Considering the results, the study may have an impact on the organization of tours and events related to local culture and heritage, particularly in old quarters, where there is a greater lack of resources and the standard of living of the inhabitants is more precarious.

This research contributes to extending the reflection on the role that mega-events play in the brand image of a tourist destination. This study also highlights the importance of understanding the behaviour of consumers of different ages in events of the MICE typology, in leisure activities outside the event.

Focussing on the perspective of business event leaders, this study aims to explore the future of transformative experience (TE) events, recognising a paradigm shift from organising conventional events to designing and guiding TEs in the meetings, incentives and conferences as exhibitions (MICE) context.

Using a qualitative interview-based design, insights from 20 international business events industry leaders were gathered and analysed by using thematic analysis through a multi-step process with MAXQDA.

The findings discuss the future of transformative events by identifying the paradigm shift towards TE in business events and outline key dimensions of the leader’s and team’s mindset and skills. Five design principles for TE events in the MICE sector are identified: design for change; emotionally experiential environments; personal engagement; responsibility; and transformative measurement.

The study offers a snapshot of how transformative events of the future could be designed and suggests a series of practical insights for MICE event leaders and organisers seeking to leverage events as a catalyst for intentional transformation, positive impact and long-lasting change.

The study adds to the emerging body of knowledge on TEs and contributes to an extended stakeholder perspective, namely, that of business event leaders and their teams who are instrumental in facilitating transformative events. An original framework for designing TE MICE events is offered as a theoretical contribution.

This research intended the utilization of Javanese turmeric (0.4% w/v) as a kombucha substrate and analysis of its hepatoprotective activity, in comparison against nonfermented Javanese turmeric beverage (JTB) and black tea kombucha.

Forty-two healthy male Balb/c mice (two- to three-week-old, 20–30 g) were divided into six groups with seven replicates each. The treatments were normal diet, normal diet + Javanese turmeric kombucha (JTK), normal diet + diethylnitrosamine (DEN), DEN + JTB, DEN + JTK, DEN + black tea kombucha. Kombuchas and JTB were given at 0.3 mL/20 g BW/d. DEN was induced intraperitoneally at a dose of 100 mg/kg. Observed biomarkers were blood serum glutamate pyruvate transaminase (SGPT) and serum glutamate oxaloacetate transaminase (SGOT) activity, serum malonaldehyde (MDA), as well as liver histology. Data were analyzed using analysis of variance.

Among DEN-induced groups, JTK significantly (p < 0.05) diminished the level of blood SGPT, SGOT and serum MDA. JTK also had lower blood SGPT (8.604 ± 2.195 U/L) and serum MDA levels (2.884 ± 0.083 nM/mL) compared to the normal group (8.604 ± 2.195 U/L and 5.050 ± 0.998 nM/mL, respectively). JTK also produced the least damaged liver-cell numbers.

JTK demonstrated better hepatoprotective activity compared to JTB.

Drawing on embodied cognition theory, this study examined the impact of midair, gesture-based somatosensory augmented reality (AR) experience on consumer delight and stickiness intention. The mediating effects of three psychological states for body schema (i.e. natural symbol sets, vivid memory and human touch) on the relationships between somatosensory AR and consumer delight/stickiness intention are determined. By filling gaps in the research, we hope to provide guidance on how to drive delightful somatosensory AR marketing.

Two experiments were conducted (Study 1 and Study 2) to test the research model and hypotheses. These experiments compared the effects of the “presence” (midair, gesture-based) and “absence” (mouse-based traditional website) conditions in somatosensory AR on consumer body schema and the creation of a delightful virtual shopping experience (i.e. consumer delight and stickiness intention).

The consumer delight and stickiness intention created in the presence condition was much higher than those in the absence condition. Consumers appeared to prefer engaging in a midair gesture-based somatosensory AR experience and exploring an augmented metaverse reality to interacting with a mouse-based traditional website. We also found that giving online consumers more somatosensory activities and kinesthetic experiences effectively inspired three psychological states of body schema in online consumers.

The results contribute to the AR experience and somatosensory marketing literature by revealing the role of natural symbol sets, vivid memory and the sense of human touch. This research breaks through the long-developed research paradigm on consumer delight, which has been limited to traditional entities and web contexts. We also extend embodied cognition theory to the study of somatosensory AR marketing.

This chapter outlines how the comprehensive North American and European datasets were collected and explains the ensuing data cleaning process outlining three alternative methods applied to deal with missing values, the complete case, the multiple imputation (MI), and the K-nearest neighbor (KNN) methods. The complete case method is the conventional approach adopted in many mainstream management studies. We further discuss the implied assumption underlying use of this technique, which is rarely assessed, or tested in practice and explain the alternative imputation approaches in detail. Use of North American data is the norm but we also collected a European dataset, which is rarely done to enable subsequent comparative analysis between these geographical regions. We introduce the structure of firms organized within different industry classification schemes for use in the ensuing comparative analyses and provide base information on missing values in the original and cleaned datasets. The calculated performance indicators derived from the sampled data are defined and presented. We show how the three alternative approaches considered to deal with missing values have significantly different effects on the calculated performance measures in terms of extreme estimate ranges and mean performance values.

Depression is one of the most overlooked psychiatric disorders among middle-aged and elderly men. Saffron (Crocus sativus L.) stigmas are a favorite and common spice that is used as an antidepressant, an anti-inflammatory and a sexual stimulant. This systematic review aimed to provide a comprehensive survey of the effects of saffron on depression in middle-aged and elderly men.

The authors searched Web of Science, PubMed, ProQuest, Cochrane, Science Direct, Scopus and Google Scholar databases to gather any relevant studies published from 1980 to September 2022. This review included studies that examined the relationship between depression and testosterone concentration (four studies) or saffron’s effects on testosterone and depression (six studies).

Observational research showed an association between testosterone and depression in middle-aged and elderly men. Furthermore, animal studies have found that saffron increased testosterone levels and decreased depression in males. There is evidence that testosterone may contribute to the mood. Besides its antioxidant and anti-inflammatory properties, this study proposed scientific mechanisms that saffron may also play a protective role against depression through its influence on testosterone, in middle-aged and elderly men. The general use of saffron at high doses or for prolonged periods may cause side effects; therefore, it is important to consult a health-care professional before the recommended dosage and duration of saffron supplementation, especially if a person has any underlying health conditions or is taking medications.

This study provides researchers with an additional perspective for conducting clinical trials on the use of saffron to enhance the mood of elderly men with testosterone deficiency.

Currently, the vision and depth information obtained from the eye-to-hand RGB-D camera can apply to the reconstruction of the three-dimensional (3D) environment for a robotic operation workspace. The reconstructed 3D space contributes to a symmetrical and equal observation view for robots and humans, which can be considered a digital twin (DT) environment. The purpose of this study is to enhance the robot skill in the physical workspace, although the artificial intelligence (AI) technique has high performance of the robotic operation in the known environments.

A multimodal interaction framework is proposed in DT operation environments.

A fast image-based target segmentation technique is combined in the 3D reconstruction of the robotic operation environment from the eye-to-hand camera, thus expediting the 3D DT environment generation without accuracy loss. A multimodal interaction interface is integrated into the DT environment.

The users are supported to operate the virtual objects in the DT environment using speech, mouse and keyboard simultaneously. The humans’ operations in 3D DT virtual space are recorded, and cues are provided for the robot’s operations in practice.