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Purpose: This study examines the effect of uncertainties on the hospitality industry from different perspectives across the globe. The hospitality industry faces several contemporary issues and challenges that have the potential to impact its growth and development. This study aims to analyse the current problems and uncertainties in the hospitality sector.

Need for the Study: The hospitality industry plays a significant role in the global economy with various services, including accommodation, food and beverage, events, and tourism. However, the sector faces several contemporary issues and challenges that have the potential to impact its growth and development. This study provides an overview of the most significant problems and challenges facing the hospitality industry today.

Methodology: A systematic literature review was conducted to identify and synthesise relevant studies on the effect of uncertainties issues on the hospitality industry. A systematic search of the Web of Science and Scopus databases was conducted to determine relevant studies published between 2010 and 2021. Studies were screened and selected based on pre-defined inclusion and exclusion criteria. A thematic analysis was performed to categorise the uncertainties and issues in the hospitality industry.

Findings: The study identified several uncertainties and issues facing the hospitality industry, including the pandemic uncertainties, financial crisis, whether positive and negative impacts, terrorism attacks on hotels and tourist places, uncertainties in government policies, situational risks like uncertainties, ambiguity, cultural differences, changes in tourist preferences and changing habits of the tourist.

The primary objective of this paper is to show a systematic and methodological approach for the digitalization of critical clinical pathways (CPs) within the healthcare domain.

The methodology entails the integration of service design (SD) and action research (AR) methodologies, characterized by iterative phases that systematically alternate between action and reflective processes, fostering cycles of change and learning. Within this framework, stakeholders are engaged through semi-structured interviews, while the existing and envisioned processes are delineated and represented using BPMN 2.0. These methodological steps emphasize the development of an autonomous, patient-centric web application alongside the implementation of an adaptable and patient-oriented scheduling system. Also, business processes simulation is employed to measure key performance indicators of processes and test for potential improvements. This method is implemented in the context of the CP addressing transient loss of consciousness (TLOC), within a publicly funded hospital setting.

The methodology integrating SD and AR enables the detection of pivotal bottlenecks within diagnostic CPs and proposes optimal corrective measures to ensure uninterrupted patient care, all the while advancing the digitalization of diagnostic CP management. This study contributes to theoretical discussions by emphasizing the criticality of process optimization, the transformative potential of digitalization in healthcare and the paramount importance of user-centric design principles, and offers valuable insights into healthcare management implications.

The study’s relevance lies in its ability to enhance healthcare practices without necessitating disruptive and resource-intensive process overhauls. This pragmatic approach aligns with the imperative for healthcare organizations to improve their operations efficiently and cost-effectively, making the study’s findings relevant.

The Internet has encouraged rural tourism experience providers to develop a new management strategy that opts for disintermediation to access the market. In this context, incoming travel agencies (destination management companies [DMCs]), despite the local component, lose capacity to promote the rural tourism. The main question is what kind of relationship between stakeholders would enhance effective intermediation processes between them. The paper examines such constraints and limitations of existing relationships between small local rural tourism producers and DMCs.

Using the Basque Country region of northern Spain as a case study, the authors used a mixed qualitative and quantitative methodology based on semi-structured in-depth interviews and an online survey. The data analysis strategy used incorporated descriptive and exploratory factor analysis (EFA).

In this research, most of the tourism disintermediation factors identified in previous literature were reinforced when tested in the rural context. The results confirm that power, value, product differentiation, digitisation and stakeholder collaboration are key elements. The value provided in the international segment by DMCs, though, was found to be irrelevant.

This article contributes to filling a gap in the literature on rural tourism destination management from a holistic view of the destination understanding the business-to-business (B2B) relationship among stakeholders in rural tourism. This paper focuses on those elements that create value for local producers to sell the products through intermediaries and provides a framework for understanding the factors involved in value creation in rural tourism intermediation, which is applicable to further empirical studies and provides interesting managerial implications.

The purpose of this study involves analysing the factors of and barriers to innovation and their respective impacts (directly and indirectly) on the competitiveness of both destination and their host companies.

Based on primary data collected by questionnaire from a sample of 119 companies operating in the tourism sector in the autonomous region of Madeira (Portugal), the authors applied a quantitative methodology with recourse to econometric models and multiple linear regression.

Comprehensive results based on a conceptual model are obtained through the analysis of competitiveness tourism-based and innovation factors. The study identifies and empirically tests the existing and underlying relationships between innovation (factors and barriers) as the means of leveraging the competitiveness of destinations and their companies.

The results hold important theoretical and practical implications contributing towards innovation for competitiveness and filling a shortcoming identified in the literature.

This study aimed to detect the relationships between mindfulness and events participation, and then between the later and psychological empowerment.

The proposed model's underlying hypotheses were empirically tested with data collected through an online survey addressed to a convenience sample of frequent leisure participants (n = 199). The authors applied the structural equation model (SEM) to confirm the aforementioned relationships. To assess the adequacy of the psychometric properties of the measures, the authors performed a confirmatory factor analysis of the measurement model, with a maximum likelihood estimation method.

Under the effects of the lockdown period environment, the results express a positive relationship between a mindful state of mind – related to observation/attention – and the yearnings and perceptions about the participation in events. This relationship for consistency was proven to be moderated by the perception of the participation importance to the individual subjective well-being/mental health. Due to participation insights, there was a positive effect on psychological empowerment, supporting the relationship that had been hypothesized.

The authors propose and test a new model that contributes to the theory and examines how mindfulness behavior can effect more alluring and intense participation in events and what are the anticipated outcomes in terms of psychological empowerment.

Open innovation (OI), by now one of the major concepts for the analysis of innovation, is seen as a methodology for collaboratively designing and implementing solutions by engaging stakeholders in an iterative and inclusive service design process. This paper aims to empirically investigate OI capacities, defined as a cooperative, knowledge-sharing innovation ecosystem, and to explore how it can lead to improved performance of firms in Central and Eastern European (CEE) and Southeastern European (SEE) countries.

The study builds on the World Bank/European Bank for Reconstruction and Development (EBRD’s) Business Environment Enterprise Performance Survey (BEEPS) dataset for 2009, 2013 and 2019. Primarily, the research model was estimated using log-transformed ordinary least squares (OLS). Taking into consideration that this method might produce substantial bias, yielding misleading inferences, this study is fitting Poisson pseudo maximum likelihood estimators with robust standard errors and instrumental variable/generalized method of moments estimation (IV/GMM) approach for comparative results. Secondarily, the research model was tested using structural equation modelling (SEM) to investigate the relationship between five OI capacities and firm performance.

The findings indicate that there is a significant positive relationship between most OI capacities and firm performance, except for innovation, which did not show a statistically significant relationship with firm performance. Specifically, research and development (R&D), knowledge and coopetition are statistically significant and positively associated with firm performance, whereas transformation is statistically significant but negatively associated with firm performance. The IV/GMM estimations’ findings support the view that the firm performance is significantly affected by OI capacities, together with some control variables such as size, age, foreign ownership and year dummy to have a significant impact on firm performance.

This paper fills an identified gap in the literature by investigating the impact of OI on firm performance executed in the specific CEE and SEE country context.

This study attempts to ascertain how behavioral intention and word-of-mouth communication is affected by belonging, attitude toward behavior and subjective norm found in the theory of reasoned action. The research universe consists of customers visiting local restaurants operating in Afyonkarahisar.

The survey technique was used to collect data from customers visiting local restaurants between 05 September and 05 November 2022, using the convenience sampling method. The acquired data (n = 385) were analyzed using the structural equation model and the SmartPLS statistical tool.

The study findings indicate that behavioral intention is positively and significantly influenced by behavioral attitude, subjective norm and behavioral norm, but not by belonging. However, behavioral intention significantly and favorably influences word-of-mouth. When the indirect effect of study findings was analyzed, it was showcased that behavioral intention and attitude indirectly influence subjective norm and word-of-mouth communication, but belonging has no such effect.

The results suggest that businesses should focus on using local products as customers have a positive attitude toward them and provide customers with a sense of belonging to increase word-of-mouth communication. Additionally, the study highlights the importance of subjective norms in shaping customers' intentions and behavior toward local products.

The contribution of this article is valuable in terms of meeting this quest of visitors who have the motivation to introduce and experience the local culture, especially the Reasoned Action Theory of Word-of-Mouth communication approach of the customers, who play an essential role in the promotion and marketing of local restaurants selling local products, and to make a difference in their travels. Findings indicate that businesses should use local products, and customers need a sense of belonging. However, there is a subjective norm and attitude toward local products, and they should provide the necessary tendencies to gain a sense of belonging.

Following the theory of emotional events, this paper aims to use the bright triad and the dark tetrad as representations to investigate the role of positive and negative personality patterns in achieving positive and negative innovation. The study also examines the mediating role of emotional intelligence and abusive supervision and the interactive role of emotional exhaustion in understanding the relationship between positive and negative personality patterns and positive and negative innovation.

To test the hypotheses of the study model, a set of questionnaires was distributed to a sample of 500 medical officers working in different departments of public hospitals in southern Iraq. The data were analysed using the structured equation model.

The results of the current study confirm previous studies on emotional intelligence because the bright triad negatively associates with negative innovation and positively associates with positive innovation. Meanwhile, the dark tetrad positively associates with negative innovation through abusive supervision, and that emotional exhaustion reinforces the negative side and weakens the positive side of the relationships.

This study contributes to the literature by emphasising that the values represented by the bright triad have a strong readiness to show positive innovation and immunity to negative influence caused by abusive supervision. Meanwhile, the negative emotions of the dark tetrad pattern result in negative patterns because they correlate with negative innovation and the avoidance of positive behaviour, which is escalated by abusive supervision.

The purpose of this article is to revisit the concepts of city singularity and identity, as well as the concept’s related topics (i.e. place identity, place attachment and place dependence). The aim is to investigate the impact of development projects on people's preferences for old and contemporary features in modern cities. The evidence for this can be seen mainly at historical sites such as Heliopolis in Cairo, Egypt.

The authors investigated how development projects affect place identity and city singularity through a three-step process. As a first step, an online questionnaire was administered to experts to assess the characteristics that shape the identity of local districts. In the second and third steps, interviews were conducted, followed by online surveys directed at Heliopolis residents and non-residents. The weight of people’s preferences was determined using multi-criteria decision-making (MCDM).

The results highlighted people's preferences to consider when developing projects at historical sites. Based on these preferences, the authors’ concluded remarks provide insight into some considerations for developing projects in historic places.

The added value here is surveying people’s preferences about development projects in historical places. The physical and social components interplay contributes to city identity and singularity. Based on these preferences, this investigation offers valuable insights into enhancing historical site development.

Organisations are investing in systems such as product lifecycle management (PLM) to support product development, collaboration across complex supply chains and to provide a framework for digital transformation. Graduates of apparel programmes would benefit from a knowledge of PLM to help realise the opportunities that PLM offers. The purpose of this paper is to report on an educational research project that used PLM as a context for practice-based learning and as a mechanism to update the learning experience and stimulate the development of future practice.

This paper reports on the experiences, critical reflections and data from an action research study to establish a learning community through an educational partnership for PLM software within an undergraduate fashion business course. The cohort of the first year of the intervention (n = 28) is the main study population.

The findings indicate that PLM provided a stimulating learning context supportive of a detailed understanding of current industry practice, critical and innovative thinking and the development of a professional identity.

The opportunity for the development of both industry and educational practice is outlined.

A general introduction to PLM provides important information to support and advance Fashion Industry 4.0. Educational partnerships can reduce barriers to the integration of advanced technologies into the higher education curriculum.

Applications of PLM are under researched in textiles and apparel. The paper contributes to the broadening of the knowledge base of PLM and its potential to achieve strategic transformation of the sector.