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This research proposes to organise and distil this massive amount of data, making it easier to understand. Using data mining, machine learning techniques and visual approaches, researchers and managers can extract valuable insights (on guests' preferences) and convert them into strategic thinking based on exploration and predictive analysis. Consequently, this research aims to assist hotel managers in making informed decisions, thus improving the overall guest experience and increasing competitiveness.

This research employs natural language processing techniques, data visualisation proposals and machine learning methodologies to analyse unstructured guest service experience content. In particular, this research (1) applies data mining to evaluate the role and significance of critical terms and semantic structures in hotel assessments; (2) identifies salient tokens to depict guests' narratives based on term frequency and the information quantity they convey; and (3) tackles the challenge of managing extensive document repositories through automated identification of latent topics in reviews by using machine learning methods for semantic grouping and pattern visualisation.

This study’s findings (1) aim to identify critical features and topics that guests highlight during their hotel stays, (2) visually explore the relationships between these features and differences among diverse types of travellers through online hotel reviews and (3) determine predictive power. Their implications are crucial for the hospitality domain, as they provide real-time insights into guests' perceptions and business performance and are essential for making informed decisions and staying competitive.

This research seeks to minimise the cognitive processing costs of the enormous amount of content published by the user through a better organisation of hotel service reviews and their visualisation. Likewise, this research aims to propose a methodology and method available to tourism organisations to obtain truly useable knowledge in the design of the hotel offer and its value propositions.

Although various booking platforms have been contributing to the dramatic growth of hotel industry, little research has been conducted to understand consumer psychological processes and behaviors in online hotel booking. To fill this gap, the current study examines the effect of switching barriers (switching cost and alternative attractiveness) on consumers' decision postponement and repurchase intention. Additionally, the moderating effect of time pressure in different phases of booking decision is investigated.

A total of 352 samples was collected through an online platform. Data analysis was conducted via Amos 23 (structural equation modeling) and SPSS 24 (descriptive analysis and PROCESS macro).

Results show that switching cost and alternative attractiveness are two significant drivers of decision postponement and repurchase intention. Meanwhile, time pressure only has a significant moderating effect on the relationship between switching cost and decision postponement.

The findings of this research reveal that hotel operations need to implement strategies to prevent customers' delayed booking decisions and overcome the influence of time pressure on customer decision-making.

These findings stress the importance of consumer perceptions of switching barriers and time span when making hotel reservations online. Hotel practitioners are encouraged to provide multiple human–computer interaction applications to attract novice consumers and increase their familiarity with booking process.

The purpose of the paper is to explore how the effects of the COVID-19 pandemic will influence the development of revenue management practice in the visitor attractions sector.

This viewpoint paper builds on the argument that tracking previous patterns of behaviour and trends can be used to predict future actions and developments.

The paper identifies how historically the development of revenue management practice has been driven by major external trigger points often linked to sudden increases in competitive pressures, such as the deregulation of the airline industry, and expands on this to argue that the pandemic is one such trigger point that has fundamentally changed the approach to revenue management through a refocusing on key principles to manage demand and that this could potentially accelerate its development within the visitor attraction sector.

Pre-COVID, the practice of revenue management in the visitor attraction sector was underdeveloped, and the opportunities to develop revenue management had not been discussed in the academic literature. This paper suggests that the challenges of the pandemic that forced visitor attractions to focus on visitor demand management can now begin to be extended to incorporate the management of revenue and will consequently be of value for academics and practitioners.

This study aims to improve the use of digitalization in facilities management (FM) for shopping complex facilities in the post-COVID-19 era. The resumption of economic activities, especially in shopping complexes, poses challenges for FM with throngs of shoppers. To tackle these challenges, enhanced and innovative FM practices are necessary.

The study used a qualitative research approach, incorporating case studies, interviews, observations and documentation. It focused on super-regional shopping complexes in the Klang Valley, Malaysia, selecting two complexes for qualitative data collection. Supplementary data were gathered from various sources, including government policy publications, websites, books, journal papers and archival records.

The research provides valuable insights into FM innovations and the application of FM digitalization in shopping complexes after the COVID-19 pandemic. It also addresses challenges faced by FM teams during this period. Recommendations for implementing FM digitalization in super-regional shopping complexes post-COVID-19 include developing skilled personnel, defining appropriate work scopes, strategies and policies, using cost-effective software, and increasing occupant awareness. The involvement of outsourced service providers is advised, emphasizing their understanding of the organization’s business model and innovative approaches.

The findings offer new perspectives on the characteristics of FM digitalization in the commercial sector during business disruptions caused by the pandemic. The proposed strategies are grounded in real industry implementations, aiming to enhance the FM digitalization approach for improved business performance.

This paper seeks to examine the effect of monetary policy rate (MPR) on the lending rates of commercial banks in Ghana.

The paper employed the autoregressive distributed lag (ARDL) model as well as the non-linear autoregressive distributed lag (NARDL) model econometric techniques on a quarterly time series data from 2002 to 2018.

The ARDL results revealed that, MPR has a positive and significant effect on lending rate in the long and short run. Although there exists a direct relationship between MPR and lending rate, from the NARDL revealed an asymmetric effect of MPR on lending rate to the effect that, lending rate in Ghana responds more to positive shock (a rise in MPR) compared to a negative shock (a decrease in MPR) both in the long and short run.

The paper contributes to policy and literature in Ghana by providing empirical evidence on the asymmetric effect that MPR has on lending rates in Ghana. The paper recommends among others, the establishment of a rating system of banks according to their monetary policy compliance, where highly rated banks could have for instance a reduction on borrowed reserves from the central bank.

This paper proposes a new multi-dimensional financial inclusion index.

The authors employ two-stage principal component analysis (PCA) and aggregating indicators of availability, access and use. The paper first assesses the cross-country variations in the index and analyses trends over time for a sample of countries members of the Union for the Mediterranean (UfM) from 2010–2018. Second, it investigates factors that could explain the level of financial inclusion across countries.

The financial inclusion index shows a downward trend for the full sample over the period under investigation; however when splitting the sample by income group, it appears that high- and middle–income countries did not register the same trend. When examining the determinants of financial inclusion for the UfM countries, the authors find that macroeconomic, social and governance factors, as well as banking conditions, matter. Policy-makers in low- and middle-income economies should consider the importance of digital financial inclusion, which is substituting the role to traditional banking system, to close the gap and accelerate its development.

First, the authors provide a new measure of financial inclusion using a three-dimensional index: availability, access and use, for which weights are assigned using PCA. It uses data available for the UfM sample by combining data from different databases in order to include most indicators considered in the literature, as the majority of studies only use single measures (number of bank branches, ownership of a bank account, ratio of credits or deposits to gross domestic product [GDP], etc.). Second, by focussing on UfM countries, the study covers a region that includes both large developed and small developing economies that are connected via financial and trade ties, whilst previous studies generally give global evidence from an international sample with little or no economic ties. Third, splitting the sample by country income groups, the paper presents a more comprehensive representation of the cross-country variation in financial inclusion levels between high- and middle-income economies for this region.

This work analyzes female immigrants’ integration in the dimensions of education, labor market participation and fertility in 15 European countries, considering individual characteristics, including cultural background, host countries’ attitudes towards immigrants, the role of women in the family and country-specific integration policy. All these aspects taken together are crucial to understand the main patterns of integration focusing on gender differences.

We focus on second- and first-generation male and female immigrants between the age of 25 and 41, with a length of stay of at least ten years. Enrollment ratios for tertiary education in parents’ countries, the total fertility rate and the female labor force in the mother’s country represent ethnic background. Diversity in the destination regions is captured by local attitudes towards immigrants, the perceived role of women and national policies to integrate migrants [Migrant Integration Policy Index (MIPEX)]. The data are drawn from the European Social Survey (ESS) for 2010–2018. Our results are based on ordinary least squares (OLS) and logit estimates; multilevel analysis was conducted.

We find significant evidence of gender role transmission from mother to daughter; age at immigration seems to be crucial to examine the importance of the culture of origin among immigrants. However, females are responsive to attitudes toward immigrants and gender equality in receiving societies, while integration policies, by defining the set of opportunities, may contribute to both genders’ tertiary education and women’s probability of being in the labor force.

This work underlines that integration policies favoring equal rights as nationals may contribute to both women’s tertiary education and their probability of being in the labor force.

We explore female integration in Europe in the dimensions of education, labor market, fertility and the role of both immigrants’ cultural heritage and specific aspects of destination countries. Previous research, particularly in the USA, has generally focused on some of these features at the expense of a more comprehensive approach. This study builds upon the existing literature and contributes to it by taking a multifaceted approach to female integration in Western Europe, which presents not only an institutional context different from the USA but also some heterogeneity with respect to integration policies and socioeconomic factors.

The study sought to examine the mediating effect of employee environmental commitment (EEC) in the relationships between green human resource management practices (Green HRMPs) and environmental sustainability (ES) and employee turnover intentions (ETI).

Using a cross-sectional survey approach, data was sourced from 296 respondents from five manufacturing firms listed on the Ghana Stock Exchange. Data was analysed using descriptive and inferential statistics with the help of Statistical Package for Social Sciences (SPSS) and SmartPLS.

Results showed that EEC had a partial mediation effect on the relationship between Green HRMPs and ES at the organisational level but fully mediated the relationship between Green HRMPs and ETI at the individual level.

It is evident from the findings that Green HRMPs improve ES and employee stability. Therefore, practitioners and educational institutions should consider integrating environmental concerns into their functional processes and operations. In addition, governments as policymakers should formulate and strengthen the enforcement of already-existing environmental management and sustainability policies that promote the integration of green practices and initiatives in both private and public entities.

Little is known about Green HRM and its effect on organisational and individual-level outcomes, especially in Sub-Saharan Africa. This study presents empirical evidence from an emerging economy.

This paper aims to examine the relationship between Shariah compliance and corporate capital structure decisions. This study explores the variation of capital structure speed of adjustment.

The authors’ sample includes a sample of the largest 200 nonfinancial firms trading in the Malaysian and Pakistan stock markets. This study uses ordinary least squares and dynamic two-step system generalized method of moments to test the hypotheses of the study.

The results show that Shariah-compliant firms use a lower level of leverage than the noncomplaint firms. Moreover, while both types of firms have optimal capital structures, the speed of adjustment toward the targets is slower for Shariah-complaint firms than non-Shariah-compliant firms. This variation can be seen through the different levels of market imperfection experienced by the two types of firms. Shariah-compliant firms follow Islamic rules that restrict the type and degree of leverage, thus affecting the availability of external funding to Shariah-compliant firms.

The findings call for more development and innovation of financing instruments that comply with Shariah rules that will increase of supply of external funds for Shariah-compliant firms and, thus, reduce market imperfections that are faced by Shariah-compliant firms.

The study contributes to the limited number of studies that examine the nexus between conventional corporate theories and Islamic corporate finance.

Wicked problems require collaborative innovation approaches. Understanding the problem from the users' perspective is essential. Based on a complex and ill-defined case, the purpose of the current paper is to identify some critical success factors in defining the “right problem” to be addressed.

An empirical research study was carried out in a low-density municipality (case study). Extensive data were collected from official databases, individual semi-structured interviews and a focus group involving citizens, local authorities, civil servants and other relevant stakeholders.

As defined by the central government, the problem to be addressed by the research team was to identify which justice services should be made available locally to a small- and low-density community. The problem was initially formulated using top-down reasoning. In-depth contact with citizens and key local players revealed that the lack of justice services was not “the issue” for that community. Mobility constraints and the shortage of economic opportunities had a considerable impact on the lack of demand for justice services. By using a bottom-up perspective, it was possible to reframe the problem to be addressed and suggest a new concept to be tested at later stages.

The approach followed called attention to the importance of listening to citizens and local organisations with a profound knowledge of the territory to effectively identify and circumscribe a local problem in the justice field.

The paper highlights the limitations of traditional rational problem-solving approaches and contributes to expanding the voice-of-the-customer principle showing how it can lead to a substantially new definition of the problem to be addressed.