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This study aims to identify Critical Success Factors (CSFs) for tourism route development and proposes a tailored conceptual model. It addresses a comprehensive range of tourism routes, considering their respective goals and performance.

The authors applied a qualitative approach to investigate five tourism routes, interviewing 31 current and former members and examining secondary data from organisational documents. A conceptual model was developed through content analysis of transcripts and secondary data.

Based on the identified CSFs, the model is organised into six components: Product, Goals, Resources, Governance, Activities and Performance assessment.

The study analyses various tourism routes concerning their products, implementation levels, goals, performance and perceived success.

Most respondents are public authorities from European countries. Besides, consideration should be given to developing quantitative research to validate the derived theory.

The model may facilitate participants in enhancing and developing tourism routes, thereby contributing to achieving sustainable development goals related to rural-urban connections and tourism partnerships.

The development of tourism routes is expected to impact socio-economic development in rural/peripheral areas positively.

本研究旨在确定旅游线路开发的关键成功因素 (CSFs), 并提出量身定制的概念模型。本文提出了一系列旅游线路, 考虑了各自的目标和绩效。

我们采用定性方法探究了五条旅游线路, 采访了 31 名现任和前任成员, 并检查了组织文件中的二手数据。通过对记录和二手数据的内容分析, 开发了一个概念模型。

根据识别的关键成功要素, 该模型分为六个部分：产品、目标、资源、治理、活动和绩效评估。

本研究分析了各种旅游线路的产品、实施水平、目标、绩效和感知成功。

大多数受访者是来自欧洲国家的公共当局。此外, 还应考虑开展定量研究来验证所得出的理论。

该模型可帮助参与者改善和发展旅游路线, 从而有助于实现与城乡联系和旅游伙伴关系相关的可持续发展目标。

旅游路线的发展预计将对农村/边缘地区的社会经济发展产生积极影响。

Esta investigación se centra en diversas tipologías de rutas turísticas, buscando identificar Factores Críticos de Éxito (FCE) y proporcionar un modelo conceptual adaptado.

Aplicamos un enfoque cualitativo para investigar cinco rutas turísticas. Entrevistamos a 31 miembros y examinamos datos secundarios de documentos organizativos. Se desarrolló un modelo conceptual mediante el análisis de contenido de transcripciones y datos secundarios.

Basado en los FCE identificados, el modelo está organizado en seis componentes: Producto, Objetivos, Recursos, Gobernanza, Actividades y Evaluación del desempeño.

El estudio analiza diversas rutas turísticas en relación con sus productos, ubicaciones y nivel de implementación, así como los objetivos, rendimiento y éxitos percibidos de los involucrados.

La mayoría de los encuestados son autoridades públicas de países europeos. Se debe considerar el desarrollo de investigaciones cuantitativas para validar la teoría derivada de este estudio.

El modelo puede potencialmente ayudar a los participantes a mejorar y desarrollar rutas turísticas, contribuyendo así a lograr los objetivos de desarrollo sostenible relacionados con las conexiones rural-urbanas y las asociaciones turísticas.

Se espera que el desarrollo de rutas turísticas tenga un impacto positivo en el desarrollo socioeconómico en áreas rurales/periféricas.

This paper aims to contribute to the discussion of the following questions: How can the digital transition improve the management of the operation and maintenance of infrastructure in health-care facilities? What is the legacy for facility management (FM) teams in this post-COVID-19 management of hospital buildings?

Based on a literature review, this paper analyses and categorises existing research on the digital challenges for FM from 2011 until 2021 by conducting a qualitative and quantitative method of bibliometric analysis and discussing the status of digital transition impact on FM of the hospital buildings.

The trends and challenges of building information modelling, artificial intelligence and the Internet of Things identified and discussed in this paper aim to be as comprehensive as possible to grasp the situation of digital transition in the FM industry in the hospital buildings context. Regarding digital maturity, the limited number of publications highlights that control and management systems cannot fully manage the entire operational phase of hospital buildings. Giving intelligence to buildings will undoubtedly be the future. So making buildings reactive, interactive and immersive is an inevitable transformation for intelligent hospital building systems. Thus, the added value of digitalisation will help facility managers to overcome the issues pointed out in this paper to deal with the growing health demands and enable them to mitigate the impacts of a new and future pandemic.

The novelty of this paper is classifying and unifying facility managers' tendencies regarding high-level information management issues, which are lacking in the literature, with a focus on the approaches with potential and higher impact on FM in the hospital building context and the related steps that should be considered regarding data collection and data structures. These tendencies provide a set of new intelligent approaches and tools, which will increase the efficiency of processes, significantly impacting the potential of optimisation. Also, these trends can improve planning and management of scope, costs, environment and safety in the value chain of projects and assets, thus creating a more resilient and sustainable industry for facility managers in this post-COVID-19 management for hospital buildings.

The purpose of this study is modelling of a problem of policing strategy order using a multicriteria method.

For the construction of the impact matrix strategies under the reduction of crime rates, considering a portfolio of crimes, a questionnaire applied to specialists was used. In a second moment, defined the criteria and strategies to be ordered, the multicriteria PROMETHEE II method was used, which with the help of the Visual PROMETHEE software, emulated the systematised data in the impact matrix and produced the final ordering of the most efficient strategies, in the fight against crime, in the perception of decision makers.

As a result, this research revealed that radio patrol, when used in a non-randomised manner, is the most effective policing strategy in reducing the 18 criminal demands studied in the perception of decision makers after data emulation with the PROMETHEE II method.

As research implications, it can be inferred that the use of multicriteria methods in the modelling of problems in public security area can contribute to the rationalisation of use of the available means in the fight against crime in large cities. This research showed that it is possible to use customised policing strategies to absolute reality.

The practical impact of this research lies in optimising the resources available to law enforcement agencies in the fight against crime in general.

It can be inferred that by choosing appropriate strategies to combat local crime, there is a direct implication in optimising the resources that the government makes available to police agencies. This optimisation allows pressure reduction under the public budget for more features. The model for choosing more effective strategies contributes to local crimes decrease, increasing the sense of the population security.

The originality lies in filling a gap in the literature with the elaboration of the impact matrix of policing strategies in reducing criminal indices and in their associated use in ordering strategies through a multicriteria method. This study contributed to applied police intelligence.

The database of the Web of Science (WoS) was searched for publications from January 1945–May 7, 2020 on the topic of domestic violence in titles, abstracts and keywords. The references were analyzed using the R bibliometrix package, and abstracts were analyzed using latent Dirichlet allocation (LDA) with collapsed Gibbs sampling to obtain topics related to domestic violence.

The aim of the study is to explore and provide an overview of research carried out on domestic violence, in its various aspects, over the past fifty years.

As a result of the research, the authors can assert that in the last fifty years, 32,298 authors have produced 19,495 documents on the theme of policing strategy and related subjects in 111 countries. Scientific production in this area grows at a rate of 12.81 per year. The United States of America is the leading country in publications with 48.14%, followed by the United Kingdom with 7.57% and Australia with 6.05%. Regarding universities, the highlight is the University of California with 664 publications, followed by the University of London with 515 and the University of North Carolina with 484. As for journals, the highlight is the Journal of Interpersonal Violence, Journal of Family Violence and Violence Against Women, which account for more than 14.32% of all indexed literature. Regarding the authors, the highlight is Campbell J.C and Feder G. Probabilistic topic modeling revealed that 18% of the topics concentrate 90% of all tokens. Topic 1 accounts for 27.9% of the sample and conducts research related to intimate partner violence.

As a practical implication of using the LDA in the bibliographic review, we infer that its capacity to explore large masses of data allows the researcher to explore an infinitely greater amount than the traditional methods of systematic literature review.

The value of these studies is summarized in the presentation of an overview on the theme in the last fifty years, offering the opportunity for other researchers to use this research as a starting point for other analyses.

The purpose of this paper is to explore the use of virtual reality environments (VRE) for maintenance activities by augmenting a virtual facility representation and integrating relevant information regarding the status of systems and the space itself, while providing simple ways to control them.

The research focuses in the implementation of a VRE prototype of a building management system using game engine technologies. To evaluate the prototype, a usability study has been conducted that contrasts the virtual reality interface with a corresponding legacy application showing the users perception in terms of productivity improvement of facilities management (FM) tasks.

The usability tests conducted indicated that VREs have the potential to increase the productivity in maintenance tasks. Users without training demonstrated a high degree of engagement and performance operating a VRE interface, when compared with that of a legacy application. The potential drop in user time and increase in engagement with a VRE will eventually translate into lower cost and to an increase in quality.

To date no commonly accepted data model has been proposed to serve as the integrated data model to support facility operation. Although BIM models have gained increased acceptance in architecture engineering and construction activities they are not fully adequate to support data exchange in the post-handover (operation) phase. The presented research developed and tested a prototype able to handle and integrate data in a flexible and dynamic way, which is essential in management activities underlying FM.

Despite the continuous development of Building Information Modeling (BIM) standards, not all of its dimensions are supported to the same extent. This is the case of Building Automation Systems (BAS) in which the features that are limited mostly to physical setup of devices are supported. These are largely insufficient to support modeling automation scenarios. The purpose of this article is to clarify the gap in the state of the art and define the need for further developments.

This article explores the existing gap in the literature and discusses the hypothesis of extending BIM to a wider support of BA concepts. Based on an assessment of scientific and technical literature, this study elicits the information requirements of BA and performs a gap analysis with current BIM standards, such as Industry Foundation Classes (IFC).

Our findings lead us to conclude that there is a lack of completeness regarding features from BAS automation and management levels. Furthermore, it is shown that IFC is the most adequate data model to cover BAS without losing its purpose, but there is still a considerable work that needs to be addressed in future research.

BIM standards such as IFC position themselves as natural candidates for modeling and exchanging information regarding BA. However, the extent to which BIM supports automation features has never been rigorously analyzed. This article explores the existing gap in the literature and discusses the hypothesis of extending BIM to a wider support of BA concepts. Based on an assessment of scientific and technical literature, this study elicits the information requirements of BA and performs a gap analysis with current BIM standards such as IFC.

This study investigates the repetitive mixed sampling (MRS) plan based on the Cpk index that was proposed by Aslam et al. (2013a). They were the first to study the MRS plan, but they did not pay attention to the fact that submitting to the variable inspection a sample that was first submitted to the attribute inspection, truncates the X observations. In addition, they did not work with an accurate expression to calculate the probabilities of the Cpk statistic.

The authors presented the results based on their original sampling plan through Monte Carlo simulation and defined the theoretical results of their plan when the sample submitted to the variable inspection is no longer the same one submitted to the attribute inspection.

The β risks of the optimum sampling plans presented by Aslam et al. (2013a) are pretty high, exceeding 46%, on average – this same problem was also observed in Saminathan and Mahalingam (2018), Balamurali (2020) and Balamurali et al. (2020), where the β risks of their proposed sampling plans are yet higher.

In terms of originality, the authors can declare the following. It is not a big deal to propose new sampling plans, if one does not know how to obtain their properties. The miscalculations of the sampling plans risks are dangerous; imagine the situation where the acceptance of bad lots exceeds 50% just because the sampling plan was incorrectly designed. Yes, it is a big deal to warn that this type of problem is arising in a growing number of papers. The authors of this study are the pioneers to discover that many studies focusing on the sampling plans need to be urgently revised.

The purpose of the chapter is to determine the perspective directions of improving the process of decision-making in business systems by the example of modern Russia.

The scientific and methodological platform of this research is the Russian model of decision-making in modern business systems. For determining the perspective directions of improvement of the process of decision-making in business systems according to this model, the methods of systemic and problem analysis, modeling, and formalization are used.

It is shown by the example of modern Russia that perspectives of improving the process of decision-making in business systems are connected not to usage of alternative regional models of this process but to modernization of own models by usage of new organizational tools and innovational technologies. The perspective directions of improving the process of decision-making in business systems of modern Russia include development of systemic feedback and marketing with the help of outsource, increase of flexibility of organizational structure with the help of mediation, and usage of means of authomatization of managerial decisions with the help of intellectual technologies.

The compiled improved Russian model of decision-making in a modern business system showed the advantages of practical implementation of the offered perspective directions, connected to the most complete solution of the problem and implementation of possibilities of the business system, accelerated practical implementation of managerial decisions, and reduced the load on business managers. The presented example of improving the Russian model of managerial decisions in modern business systems reflects the possibilities and perspectives of improving other regional models.