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The significance of smart mobility practices in shaping cities from a smart perspective has grown in recent years, influencing policies and the choices made by inhabitants. This transformation has led to the emergence of novel services and strategies, creating a new, vibrant and highly personalised urban environment that caters to the needs and preferences of both local residents and visitors. The purpose of this study is to evaluate the influence of smart mobility practices on tourism flows in cities, considering the moderating effect of airport activities on this relationship.

Using a generalised method of moments estimation and focusing on 20 Italian cities over an eight-year period, the authors highlight the current relationship between smart mobility practices and tourism flows. Moreover, the authors demonstrate that the yearly advancement of airports positively moderates this relationship.

The findings indicate a significant relationship between smart mobility practices in modern cities and tourism inflows because they influence the development of tourism services and emerging trends such as smart tourism and smart destinations. Furthermore, airport activities as a proxy for city openness play a crucial role in this link. The study shows that airports have an incremental impact on tourism and on the relationship between tourism and sustainable practices.

The limitations of this quantitative approach include the focus on a single country, the challenge of measuring the development of smart mobility practices due to a lack of standardised variables and the need for future research to expand the sample to different countries in relation to tourism inflows.

This study has practical implications for policymakers and governance in their task of effectively coordinating internal smart mobility practices and managing incoming tourism flows.

This study has social implications, highlighting the need for policymakers and governance to address the societal impacts of smart mobility practices and tourism inflows, ensuring inclusive and sustainable outcomes for local communities.

This study contributes to the existing literature as one of the first attempts to examine the interplay between smart mobility practices in smart cities and tourism flows. Furthermore, it emphasises the role of airports in this relationship, highlighting how the interaction between these variables benefits both stakeholders.

Set within the context of International Financial Services (IFS), this research aims to considers the demographic profile of IFS apprenticeship candidates in relation to gender equality and social mobility in Ireland. This study also offers valuable insights as to the gendered nature of these “new” apprenticeships and examine whether these programmes provide opportunities for social mobility.

Implementing a quantitative approach, underpinned by a positivist stance, this study analyses Irish national apprenticeship data relating to IFS programmes (n = 1118). Non-parametric tests were applied in the analysis of the gender dimension, while to analyse social mobility, the socio-economic status and spatial profile of candidates were compiled and analysed using the Pobal HP Deprivation Index (SA).

The findings revealed more women are undertaking non-traditional apprenticeship programmes as compared with traditional craft apprenticeships. Within the IFS context, while female participation was seen to be growing, gender divergence was observed in terms of programme level, with a greater number of men, as compared with women, engaging in higher-level degree apprenticeship programmes. The findings also show that IFS apprentices are primarily from socio-economic areas that are above average. This trend indicates a distinctive candidate who is more aligned with the sectoral profile of IFS than that of traditional apprenticeship programmes. Such findings reveal that the “widening participation” aim of IFS apprenticeships is not yet fully realised with issues of gender inequality and social mobility persistent within the wider IFS sector.

This study provides an important dimension to both academic and practitioner literature concerning apprenticeships. To date, there has been a proliferation of publications concerning the beneficial impact of skills and vocational-led apprenticeships. However, limited attention has been directed to non-traditional apprenticeships and even less still within the setting of IFS. This research initiates the process of addressing that gap within an Irish context. This study also adds to the existing apprenticeship discourse regarding issues of gender and social mobility by examining the gendered nature of IFS apprenticeships and well as assessing whether these apprenticeships aid social mobility.

The lack of a proper register to store, match and display information on the adapted property has led to a waste of resources and prolonged delays in matching the disabled and elderly people with appropriate properties. This paper presents the development of a Housing Adaptations Register with user-matching functionalities for different mobility categories. The developed system accurately captures and documents adapted home information to facilitate the automated matching of disabled/aged applicants needing an adapted home with suitable property using banding, mobility and suitability index.

A theoretical review was conducted to identify parameters and develop adaptations register construct. A survey questionnaire approach to rate the 111 parameters in the register as either moderate, desirable or essential before system development and application. The system development relied on DSS modelling to support data-driven decision-making based on the decision table method to represent property information for implementing the decision process. The system is validated through a workshop, four brainstorming sessions and three focus group exercises.

Development of a choice-based system that enables the housing officers or the Housing Adaptations Register coordinators to know the level of adaptation to properties and match properties quickly with the applicants based on their mobility status. The merits of the automated system include the development of a register to capture in real-time adapted home information to facilitate the automated matching of disabled/aged applicants. A “choice-based” system that can map and suggest a property that can easily be adapted and upgraded from one mobility band to the other.

The development of a housing adaptation register helps social housing landlords to have a real-time register to match, map and upgrade properties for the most vulnerable people in our society. It saves time and money for the housing associations and the local authorities through stable tenancy for adapted homes. Potentially, it will promote the independence of aged and disabled people and can reduce their dependence on social and healthcare services.

This system provides the local authorities with objective and practical tools that may be used to assess, score, prioritise and select qualified people for appropriate accommodation based on their needs and mobility status. It will provide a record of properties adapted with their features and ensure that matching and eligibility decisions are consistent and uniform.

This study aims to analyze the effects of e-government on corruption prevalence by using a sample of 29 European countries over the period 2012–2019.

This paper uses the panel corrected standard errors (PCSE) model to mitigate the problems of cross-sectional dependence. The PCSE model is also considered to reexamine the findings when the presence of heteroscedasticity, fixed effects and endogeneity issues are taken into account. The theoretical model incorporates one-year-lagged explanatory variables to deal with endogeneity. The autoregressive distributed lag method using the dynamic fixed effects estimator is chosen to deal with the time and country-fixed effects in the effort to measure the short- and long-run effects of e-government more precisely.

The results indicate that e-government plays a critical role in improving the population’s perception of corruption. Furthermore, e-government appears to have an effect in the short run. Notably, the estimation results show that there is a nonlinear relationship between e-government, especially user centricity and key enablers and the corruption perception index in the U-shaped curve.

The short-run and nonlinear effects of e-government on corruption prevalence suggest that the fight against corruption requires countries to pursue a consistent and continuous improvement and development of the e-government system.

The authors contribute to the literature by providing a consistent and precise answer to this relationship in the case of European countries. Another contribution of the work is to use diverse indicators to reflect e-government in a typical country, which helps us confirm the reliability and robustness of the findings.

Recently, the serviceability of the transportation infrastructure in urban areas has become crucial. Any impact of the hazardous conditions on the urban road network causes significant disruption to the functioning of the urban region, making the city’s resilience a point of concern. Thereby, the purpose of the study is to examine the city’s recovery capacity to absorb the impacts of adverse events like urban floods.

This study examines the road network resilience for an urban flood event for zones proposed by the Municipal Corporation to develop multiple central business districts. This study proposes a novel approach to measure the resilience of road networks in an urban region under floods caused due to heavy rainfall. A novel Road Network Resilience Index (RNRI) based on the serviceability of the road network during floods is proposed, estimated using Analytic Hierarchy Process - Multiple Criteria Evaluation (AHP-MCE) approaches by using the change in street centrality, impervious area and road network density. This study examines and analyses the resilience of road networks in two conditions: flood and nonflood conditions. Resilience was estimated for both the conditions at the city level and the decentralized zone level.

Based on RNRI values, this study identifies zones having a lower or higher resilience index. The central, southern and eastern zones have lower road network resilience and western and northern zones have high road network resilience.

The proposed methodology can be used to increase road network resilience within the city under flood conditions.

The previous literature on road network resilience concentrates on the physical properties of roads after flood events. This study demonstrates the use of nonstructural measures to improve the resilience of the road network by innovatively using the AHP-MCE approach and street centrality to measure the resilience of the road network.

The purpose of this study is to advance a novel evaluation index system and evaluation approach for ability of older adults in China.

This study constructed a comprehensive older adult ability evaluation index system with 4 primary indicators and 17 secondary indicators. Grey clustering analysis and entropy weight method are combined into a robust evaluation model for the ability of older adults.

The result demonstrates that the proposed grey clustering model is readily available to calculate the disability level of elderly individuals. The constructed index system more comprehensively considers all aspects of the disability of the elderly.

This study provides a quantitative method and a more reasonable index system for the determination of the disability level of the elderly.

This study aims to calculate the corporate social responsibility (CSR) expenditure made by companies as per the provisions of Section 135 of Companies Act 2013 and check the status of compliance/non-compliance of these provisions in the mandatory regime of CSR.

Based on a sample of top 500 Indian companies listed on Bombay Stock Exchange, the study compares the CSR expenditure required to be incurred by companies with the actual CSR expenditure made by them over a time span of seven years and calculates the extent of surplus or deficit attained by them starting from the year of inception of CSR provisions, 2014–2015, till the most recent year, 2020–2021.

The findings indicate that the average CSR expenditure made by Indian corporate sector is less than the mandatory requirement. More than half of the companies do not comply with the CSR regulations of the country. Even the “Most Profitable” companies fail to contribute the minimum required amount towards social activities akin to their counterparts in the “Less” and “Least” profitable categories.

The disobedience towards the statutory provisions implies that Indian companies are non-compliant towards CSR guidelines despite the regulative institutional pressure that makes CSR a mandatory practice to legitimise it.

The study contributes to the CSR literature in the light of the transformed regulative institutional environment in India. It includes a comprehensive analysis of compliance of companies with the revised statutes over all the years since the inception of new mandatory guidelines on CSR till the most recent time period on a representative sample, thus, making the findings robust and generic with respect to India.

Sustainability has become an integral part of the real estate industry, alongside advancing globalization and demographic development. Due to real estate's influence on greenhouse gas emissions throughout its life cycle, both the regulatory and legal requirements concerning the sustainability of real estate are growing and, as a result of social responsibility, the interest of tenants and investors in sustainable real estate. However, criteria for measuring the ecological sustainability of a real estate investment in the purchase process in order to reduce the risk of including “stranded assets” in the portfolio are missing. This paper aims to address the need to integrate the issue of carbon stranding into existing sustainability rating tools.

Existing tools are examined based on defined criteria to determine whether they are suitable for purchasing a property before suitable tools for purchase are compared. Strengths and weaknesses are identified, which are to be remedied with the scoring tool. Taxonomy regulation is integrated into the existing valuation basis as a legal regulation.

The result is a scoring tool that enables real estate companies to measure and evaluate the ecological sustainability performance of a property during the acquisition process, taking into account the three aspects of sustainability and considering them when determining an appropriate purchase price in line with market conditions. Moreover, the developed tool helps to minimize the risk of acquiring a stranding asset.

The environmental, social and governance (ESG) framework employed in this study does not incorporate governance considerations. While the analysis extensively evaluates the building's environmental and social aspects, it does not extend to examining the governance practices of the companies involved. Thus, the assessment is confined solely to the physical attributes of the property without accounting for broader corporate governance factors.

The developed scoring tool represents a valuable tool for the real estate industry, offering insights into sustainability performance during property acquisitions and providing a structured framework for decision-making. By addressing both certification and taxonomy regulation requirements, the tool contributes to the industry's evolution toward more sustainable and environmentally responsible real estate practices.

In response to the growing importance of sustainability in the real estate industry, this paper introduces a novel scoring tool for evaluating the sustainability of real estate investments during the acquisition process.

The aim of the research is to examine in depth the relationship between financial support, entrepreneurship and economic growth in emerging African economies.

The study adopts the system-generalized methods of moments (sys-GMM) technique for data analysis and hypothesis testing on a sample of 34 African emerging economies (340 observations) from 2010 to 2019.

The results show that there is significant positive correlation between financial support, entrepreneurship, and economic growth. Moreover, entrepreneurship served as a partial mediator between financial support and economic growth in African emerging economies.

This research suggests that African governments should focus on entrepreneurial systems, which are essentially networks driven by the pursuit of individual opportunities and the promotion of new business creation; and introduce other forms of financial assistance, such as loans, loan guarantees, interest subsidies, technical assistance, insurance, etc.

The main novelty of the paper is that the authors empirically investigate the mediating role of entrepreneurship in the association between financial support and economic growth in 34 African emerging economies.

COVID-19 disrupted the lives of consumers across the globe, and the retail sector has been one of the hardest hits. The impact of COVID-19 on consumers' retail choice behaviour and retailers' responses has been studied in detail through multiple lenses. Now that the effect of COVID-19 is abating, there is a need to consolidate the learnings during the lifecycle of COVID-19 and set the agenda for research post-COVID-19.

Scopus database was searched to cull out academic papers published between March 2020 and June 6, 2022, using keywords; shopping behaviour, retailing, consumer behaviour, and retail channel choice along with COVID-19 (171 journals, 357 articles). Bibliometric analysis followed by selective content analysis was conducted.

COVID-19 was a black swan event that impacted consumers' psychology, leading to reversible and irreversible changes in retail consumer behaviour worldwide. Research on changes in consumer behaviour and consumption patterns has been mapped to the different stages of the COVID-19 lifecycle. Relevant research questions and potential theoretical lenses have been proposed for further studies.

This paper collates, classifies and organizes the extant research in retail from the onset of the COVID-19 pandemic. It identifies three retail consumption themes: short-term, long-term reversible and long-term irreversible changes. Research agenda related to the retailer and consumer behaviour is identified; for each of the three categories, facilitating the extraction of pertinent research questions for post-COVID-19 studies.