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This paper aims to empirically analyse the relationship between the business model and the evolution of employment during the Great Recession, based on data from 75 industrial companies in the Corredor del Henares in Guadalajara, a reference area for being one of the fastest growing economic and business areas in Spain in recent decades.

The concept of the business model has been incorporated into organizational theory and practice over the last 25 years and continues to attract the interest of the academic and business community. The most recent research found in the literature has confirmed the relationship between business model and business performance, being directly connected to business performance and, therefore, to the creation of employment. However, the conclusions of the available studies are not directly scalable, as they refer to a specific sector or market.

The result confirms the positive impact of the business model on results and specifically, that talent management, through the value proposition and technology, has an impact on improving business performance. The study specifically confirms that talent integrated in organizations has an impact on the performance through a solid value proposition, scalable and adaptable to changes in the environment and whose transformation must be led by the top management. Talent integrates key partners and considers corporate social responsibility, sustainability, security and transparency as key factors in its management.

Thus, providing new and relevant information for research and business practice, and its conclusions are generalisable thanks to the multi-sector and multi-territorial nature of the sample selected.

Rising damp affects the deterioration and conservation of architectural heritage. Air cavities built next to the base of these buildings on an unsaturated floor can reduce the damage to foundations and walls due to this. These are passive systems, which are usually designed with no objective data to show their functioning and effectiveness. This is why the authors are presenting this study.

This study is presented starting with simple field equipment for representative types for a previous cataloguing of cases in Spain. The physical parameters of the air in this research are air speed and evaporation in the cavities and the base, taking the local climate and the particular formal and construction characteristics of each case study as a reference.

The results of the analysis validate the method and the efficiency of such cavities, whose performance is greater in systems with a variety of features, that is to say, those which work by thermal or wind flow rather than those which only use hygric flow.

This work is novel because there are not in situ experimental works which prove the functioning and effectiveness of these systems.

In this paper we ask: “What are the opportunities and challenges that creative methods pose in terms of conducting research processes with indigenous peoples impacted by emergencies and disasters?” To do that, we critically examine the creative and collaborative methodological approaches applied in the research project, Moving with Risk: Forced Displacement and Vulnerability in Colombia. This project sought to understand the trajectories of risk of families who were forcibly displaced as a result of the armed conflict in Colombia and resettled in areas at risk of disaster.

This article is intentionally written from the perspective of the researchers’ positionality. In doing so, we embrace writing that is situated and embodied in the researcher’s experiences and positionalities. This reflexive writing allows us to question the methodological experience of the research project we are analysing and, at the same time, ourselves, “the researchers” be questioned by it.

In this paper, we show how creative methods and participatory research can foster awareness and become the basis for inclusive and reciprocal research processes with indigenous communities in disaster studies. Specifically, we show that the use of creative methods helped us recognise that agency needs to be framed in collective spaces with the indigenous women we were working with and in relation to their livelihoods needs. We argue that finding spaces to conduct collaborative research and recognize agency is inextricably related to how the researchers reflect on their positionality.

This article contributes to critical perspectives in Disaster Studies and to an overall understanding of the role that creative methodologies play in research processes with people affected by disasters. It provides a novel perspective on the opportunities and challenges of applying arts-based methods in disaster risk studies with indigenous communities in Latin America.

The purpose of this paper is to analyse the future of the implementation of artificial intelligence (AI) technologies in services experience provided by cultural institutions (e.g. museums, exhibition halls and cultural centres) from experts’, cultural tourists’ and users’ point of view under the Industry 5.0 approach.

The research was conducted using a qualitative approach, which was based on the analysis of the contents obtained from two roundtable discussions with experts and cultural tourists and users. A thematic analysis using NVivo was done to the data obtained.

From a futuristic Industry 5.0 approach, AI is considered to be more than a tool – it as an integral part of the entire experience. AI aids in connecting cultural institutions with users and is beneficial since it allows the institutions to get to know the users better and provide a more integrated and immersive experience. Furthermore, AI is critical in establishing a community and nurturing it daily.

The most important contribution of this research is the theoretical model focused on the user experience and AI application in services experiences of museums and cultural institutions from an Industry 5.0 approach. This model includes the visitors’ and managers’ points of view through the following dimensions: the pre-experience, experience and post-experience. This model is focused on human–AI coworking (HAIC) in museums and cultural institutions.

The purpose of this study is to examine the influence of an online course on gender equality in tourism on the knowledge, attitudes and practices (KAP) of students concerning sustainable development goals (SDGs) at two universities in Spain and Mexico.

The study uses 38 online qualitative surveys administered to participants both before and after the university online course. The methodology incorporates the three variables of the KAP model: knowledge, attitudes and practice.

Following the online course, disparities in knowledge levels were observed, accompanied by positive shifts in attitudes and practices toward SDG 5 among university students from Mexico and Spain. The results suggest that a positive initial attitude markedly enriches the learning experience, even without extensive preexisting knowledge and notably increases the likelihood of participants engaging in practical actions postcourse completion.

The study proposes an innovative framework for designing SDGs-oriented training courses within university settings. Additionally, it outlines a pathway by which enhancements in knowledge, attitudes and practices related to SDGs, with a focus on SDG 5, empower students to act as catalysts for societal change.

This study presents a novel application of the KAP model’s variables in analyzing the results of a university course within the tourism sector. It underscores the essential role of expert-led instruction using real-life case studies for SDG education, providing fresh perspectives on augmenting the contribution of higher education to sustainable development.

Radical changes in consumer habits induced by the coronavirus disease (COVID-19) pandemic suggest that the usual demand forecasting techniques based on historical series are questionable. This is particularly true for hospitality demand, which has been dramatically affected by the pandemic. Accordingly, we investigate the suitability of tourists’ activity on Twitter as a predictor of hospitality demand in the Way of Saint James – an important pilgrimage tourism destination.

This study compares the predictive performance of the seasonal autoregressive integrated moving average (SARIMA) time-series model with that of the SARIMA with an exogenous variables (SARIMAX) model to forecast hotel tourism demand. For this, 110,456 tweets posted on Twitter between January 2018 and September 2022 are used as exogenous variables.

The results confirm that the predictions of traditional time-series models for tourist demand can be significantly improved by including tourist activity on Twitter. Twitter data could be an effective tool for improving the forecasting accuracy of tourism demand in real-time, which has relevant implications for tourism management. This study also provides a better understanding of tourists’ digital footprints in pilgrimage tourism.

This study contributes to the scarce literature on the digitalisation of pilgrimage tourism and forecasting hotel demand using a new methodological framework based on Twitter user-generated content. This can enable hospitality industry practitioners to convert social media data into relevant information for hospitality management.

2019冠狀病毒病引致消費者習慣有根本的改變; 這些改變顯示，根據歷史序列而運作的慣常需求預測技巧未必是正確的。這不確性尤以受到大流行極大影響的酒店服務需求為甚。因此，我們擬探討、若把在推特網站上的旅遊活動視為聖雅各之路 (一個重要的朝聖旅遊聖地) 酒店服務需求的預測器，這會否是合適的呢?

本研究比較 SARIMA 時間序列模型與附有外生變數 (SARIMAX)模型兩者在預測旅遊及酒店服務需求方面的表現。為此，研究人員收集在推特網站上發佈的資訊，作為外生變數進行研究。這個樣本涵蓋於2018年1月至2022年9月期間110,456個發佈資訊。

研究結果確認了傳統的時間序列模型，若涵蓋推特網站上的旅遊活動，則其對旅遊需求方面的預測會得到顯著的改善。推特網站的數據，就改善預測實時旅遊需求的準確度，或許可成為有效的工具; 而這發現對旅遊管理會有一定的意義。本研究亦讓我們進一步瞭解朝聖旅遊方面旅客的數碼足跡。

現存文獻甚少探討朝聖旅遊的數字化，而本研究不但在這方面充實了有關的文獻，還使用了一個根據推特網站上使用者原創內容嶄新的方法框架，進行分析和探討。這會幫助酒店從業人員把社交媒體數據轉變為可供酒店管理之用的合宜資訊。

The purpose of this paper is to unravel the success story of a family business, while engaging with debates in business and management research through the application of corporate strategy frameworks. Implement a structured methodology to evaluate a company’s strategic efforts and explore how businesses historically achieved competitive advantages over time.

This company analysis adopts a longitudinal approach on competitive advantages, moving beyond traditional cross-sectional business to transform static models into dynamic ones. It adheres to Michael Porter’s Value Chain model (1985) and his subsequent revisions (1996, 2001) to explore how competitive advantages emerge and are sustained. Data exploration leverages an extensive archival corporate collection comprising approximately 100,000 documents, enabling a thorough examination of value chain activities through primary and secondary sources.

Chocolates Amatller effectively channelled its competitive advantages through strategic operational areas, including purchasing cocoa at prices below market value, using strong marketing tools such as illustrative collectible cards and posters and implementing skilful financial strategies.

Examine why, when and how a Spanish chocolatier achieved a position of prominence among Spain’s foremost industrial figures by constructing Barcelona’s iconic Casa Amatller.

The deployment of a field hospital can play an important role in the response to an emergency. This paper is concerned with the management of emergency staff to a field hospital from a roster of volunteers with different characteristics. This paper aims to propose a mathematical optimisation model that selects the necessary profiles of the roster according to several criteria and provides travel planning taking into account the total cost of the operation.

This study uses a multi-criteria optimisation model to take into account the preferences of the three main stakeholders involved in the deployment of the field hospital: the cooperation organisation, the staff and the end users. The model considers the possibility of using commercial or chartered flights, allows staff to indicate their preferred availability, considers the grading of volunteers according to their skills and training and provides a final flight schedule for all the medical personnel needed to operate the field hospital. Compromise programming is used to provide a Pareto optimal solution, which is compared with solutions provided by Goal programming.

The model has been validated using data from the operation in a case study of the deployment of the Spanish START hospital in Turkey 2023, demonstrating the practical utility of the model in similar operations.

The study innovates by considering a multi-criteria model that takes into account the main actors involved in the response – cooperation organisation, staff and end users – in an integrated way and proposes new measures of efficiency.

This paper aims to clarify how business education has and should incorporate more resources, policies and stakeholder engagement towards the incorporation of sustainability, by conducting a literature review on sustainability in business and international business education and proposing future opportunities for researchers and practitioners.

The authors take a systematic, qualitative analysis approach to evaluate multidisciplinary literatures on sustainability in business education. The authors identify 192 qualifying papers published in 68 journals between 2015 and 2023.

The authors propose five categories of education solutions. Four of them are integrated, in two macro–micro levels: university (stakeholders and shared-mindset change) and student (pedagogical methods and curriculum); and one at meso level: international business (holistic integration) serving to unify the university and student levels.

The review highlights the value of applying a holistic approach and interdisciplinary pedagogical methods in future research on sustainability education in business school to effectively prepare future business leaders to contribute to a more sustainable future.

Insights from this review can usefully guide scholars and programme directors in their future research and administrative efforts towards business curriculum design, stakeholder management and policy-making.

The findings highlight how by embracing holistic perspectives, proper policies and self-awareness, business education shapes the mindsets and skill sets of the next generation of socially conscious practitioners.

The review stands out as one of the few that offers a forward-looking trajectory for the adaptation of international business education in response to sustainability challenges, through a holistic perspective.

The purpose of this paper is to investigate the benefit of critical success factors (CSFs) clustering in different phases of make-to-order (MTO) projects and develop standards for management.

This study is based on a questionnaire survey. First of all, collecting data by structured interviews, relying on a questionnaire and second from leader contractors who are active in the engineering and steel industry (in Iran). So, the requirements and objective of the research are presented to the top management of MTO projects to gain their support in data collection. Then 20 CSFs were identified by the literature review so a questionnaire survey was prepared for the CSFs assessment and interview with the experts. Finally analyzing the importance and performance of CSFs in project phases and cluster them in different project phases with self-organizing map as one of the artificial neural network (ANN) approaches due to high predictive accuracy. Review the research result with the top management of MTO project and examine the results obtained from neural networks and validation indices.

Cluster analysis shows that the implementation phase is the most important stage in MTO organizations and the other phases like feasibility and start-up, design and planning, delivery and end-phase should be also considered as effective phases in determining the level of organization performance. Different industries with additional data at different periodic times will verify the result. Furthermore, testing the other ANN model will improve risk analysis and could shift this classification approach to a regression type.

The main limitation of the research is related to the sample. Research findings are limited to the time of data collection so validity is limited to the mentioned time. Different industries with additional data will verify the result. Furthermore, testing different ANN models such as K-MEANS, non-negative matrix factorization (NMF) analyses will improve risk analysis and could meet different classification results to find gaps.

In this paper, CSF and project phase dimensions are viewed together which is necessary to meet better results for simplifying social and economic benefits. Merge the new findings and latest technologies could prepare the best results and enable managers to create a better framework or implement key factors for minimizing waste.

This paper moves the definition of MTO organizations beyond measuring cost, complexity and financial variables by clustering CSFs in different phases of projects. So, the results enable managers to use this concept in their daily production to minimize waste and could be implemented to efficiently choose factors.