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Artificial intelligence (AI) has the potential to dramatically change the human approaches to work, and specifically to learning and development. While AI coaching can reduce costs and increase accessibility, it also presents both opportunities and threats to human coaches. The objective of this study was to conduct a systematic literature review of peer-reviewed research on the use of AI in coaching.

A systematic literature review (SLR) method was used to search eight databases for articles produced up to March 2024. Data extraction was conducted, with Quality Assessment undertaken independently, in parallel, using two researchers and a third arbiter. The ROBINS-I tool was used to assess the risk of bias in the included studies. A narrative synthesis of a total of 16 quantitative, qualitative or mixed-method studies covering n = 2312.

The SLR identified four key themes: Research design and AI integration, AI usefulness in coaching, impact of AI coaching and ethical considerations. The findings suggest that AI coaches can be effective, accepted, useful and match human coaches in competence for specific tasks.

AI coaching is a growing area of practice and research. This paper brings together the literature and identifies future research priorities and potential next steps in AI coach development.

The paper uses clinical research SLR methods applying these robust processes to the field of organisational research, to set a new standard through the use of a pre-determined research protocol, quality assessment and ROB, well providing a comprehensive literature review of AI coaching.

The purpose of this study is to demonstrate the applicability of Multi-Criteria Decision Analysis (MCDA) through a systematic approach using M-Macbeth to present alternatives for mitigating high-impact instances of disinformation in a community and measure the attractiveness of the options.

The recent advent of Fake News (FN) and disinformation poses a significant threat to a community, organisation or individual, contributing to the erosion of public trust in institutions and democracy. This is aggravated should the authors consider the multiplicity of FN and, thus, the multitude of risk and their impact on the community. This research proposes tackling FN as a digital risk by applying an MCDA to select the appropriate countermeasures for Law Enforcement Agencies to tackle disinformation and FN crimes.

Results indicate that to mitigate risk effectively, prioritising risk using adequate strategies and appropriate courses of action is crucial.

Nevertheless, the contributions of this research work allowed us to comprehend the best option to mitigate the risk of FN and provide a realistic approach to support Law Enforcement in decision analysis.

The technology adoption propensity (TAP) index is a parsimonious yet robust tool for measuring an individual’s willingness to accept new technologies. However, further investigation is still needed to evaluate its merits in non-Western countries. With this task in mind, this study assesses the psychometric properties and predictive capabilities of TAP in Turkey.

The researchers utilized an iterative process of forward-backward translation and three rounds of piloting to ensure the cross-cultural, conceptual and linguistic equivalence for the chosen tool. The final survey was conducted online on a convenience sample of 352 academics and in person for 2 other convenience samples that comprised a total of 259 municipal officers and 300 individuals.

TAP’s four-subscale structure was confirmed by a principal component analysis (PCA), and A confirmatory factor analysis (CFA) showed an acceptable fit across all samples. The total composition of the optimism, proficiency, dependence and vulnerability subscales was found to have adequate internal consistency and discriminant validity. Measurement invariance testing further demonstrated that TAP’s factorial organization was invariant across gender, age and income at configural, metric, scalar and strict levels. Finally, logistic and ordinary leas squares (OLS) regression analyses revealed that the TAP scores were predictive of prior technology adoption and use frequency.

Although these results are still preliminary, the confirmation and replication of TAP in Turkey clearly suggest that TAP is a dependable tool for assessing technology readiness that can be utilized well across different cultures.

The aim of this study is to investigate the determinants of Inequalities of Opportunity (IOP) among the young in Cameroonian labour market. IOP are the differences in outcomes which are explained by the circumstance factors, meaning that the variables which are beyond individual controls. For this purpose, this study performs the Human Opportunity Index (HOI) in order to quantify the IOP among employee over 10- to 25-year-olds. Using the data from the Fourth Cameroon Household Survey (FCHS4) carried out in 2014 by Statistical National Institute, IOP is quantified for each of 14 Cameroonian’s geographical areas. Based on the Dissimilarity index (D-Index) value, two main trends are outlined: a spatial subgroup including North-West, East and the urban regions which is characterized by a higher D-Index; meaning that IOP is relatively significant. In contrast, a more homogeneous subgroup with a lower IOP is found in rural, North and East regions. Moreover, regarding on the one hand the Shapley-Shorrock’s decomposition method, it appears that the mayor circumstances contributing to the D-index are socio-professional category, primary education and religious obedience of the household head which explain from 51% to 79% the overall IOP. While on the other hand, the Blinder-Oaxaca decomposition shows that 80% of the gap in D-Index is explained by disparities in circumstances, rather than individual efforts. Finally, our conclusions argue in favour of effective decentralization, for a more inclusive employment policy that takes into account local labour market features.

Most of the cultural tourism experiences of the modern world depends on staged authenticity or re-creation of cultural traditions. Research works have proved the importance of authenticity in tourism that is an increasingly sought product element generating positive memories for the guests. This phenomenon has created an imbalance between the supply and demand of “truly” authentic experiences of the host culture. “Stay like a local” was recognized as a key trend among a type of “hard core cultural tourists” that can offer perception with the aim of converting travelers into “more rounded human beings. This chapter intends to analyze the authenticity elements of village life-based tourism products of Sri Lanka and the products are classified in to five categories. A case study was conducted on Blue Mountains View; a farm based-home stay in Dambulla that is rated over well reputed luxury hotels of the area in Booking.com, in order to examine correlation between the authenticity and tourist satisfaction using thematic analysis of the reviews by the tourists. It was found that higher level of authentic family-oriented, meaningful encounter with hosts and engaging village life experience for European tourists as the overall reason for the higher level of tourists” satisfaction. The product reflects most features of the “community-driven slow cultural tourism” with main authentic elements of “stay like a family member at home,” unique location and view, delicious authentic local food, friendliness of the host and genuine hospitality causing to the satisfaction.

Purpose: This paper investigates how Europe’s fast fashion industry’s sustainability efforts correlate with socio-economic well-being, focusing on the Human Development Index (HDI), Sustainable Development Goals, and textile waste.

Design/Methodology/Approach: Applying Principal Component, Regression, and Spatial Analysis, the study examines cross-European data to identify relationships between development indices and textile waste.

Findings: There is a strong link between adherence to Sustainable Development Goals and higher living standards, but the impact of textile waste on well-being is minimal.

Research Limitations/Implications: Limitations refer to excluding other socio-economic factors and a narrow metric focus, which may obscure the broader effects of textile waste.

Practical Implications: Results advocate for sustainable waste management policies, which were crucial during the European energy crisis, to foster eco-friendly practices in the fashion industry.

Social Implications: The study emphasises the need for a circular economy shift in fast fashion, which is vital for environmental sustainability and societal health.

Originality/Value: This research enriches the sustainability narrative by correlating it with socio-economic health in European contexts, providing a unique industry perspective.

Plain Language Summary: Exploring the connection between sustainability in Europe’s fashion industry and quality of life, our study finds that eco-friendly policies match higher living standards. However, fashion waste’s direct effect could be much better. Amidst an energy crisis (Kent, 2022), our insights press for greener practices in fashion, underscoring the necessity for a circular economy to support environmental and social well-being.

Transport is responsible for around a quarter of global emissions. It is 91% fossil fuel dependent for energy, with emissions remaining stubbornly high, increasing in the EU since 1990 and falling since then by just 15% in the UK. The UK’s National Infrastructure Commission (NIC), in producing its second assessment, a major strategic overview for the next 30 years, emphasises a near universal dependency on electricity and hydrogen to decarbonise transport emissions. Locally distributed energy solutions are not considered part of their approach and neither do they consider where the products proposed for mass adoption – electric vehicles (EVs) are to be manufactured. Embodied carbon emissions are not taken into account, with emissions analysis focused on zero tailpipe emissions. Green gases which can be used in combustion engines and hybrids, harnessing existing supply chains and maintenance service provision, are also not seen as part of the solution, even during transition. Manufacturers are concerned that legislation and policy approaches, such as the Zero Emissions Vehicle Mandate, will lead to off-shoring of production. Zero Emissions Vehicles do not consider tyre emissions, which some research has shown to be many times higher than tailpipe emissions with devastating impacts on ecosystems. The chapter proposes the need for a greater holistic and circular approach to be taken to embodied carbon, mineral and resource utilisation together with biodiversity and planetary impacts.

The impact of enterprise social media (ESM) on employees is not always beneficial. The constant connectivity of ESM can trigger emotional issues, threatening employees' psychological states. This study aims to explore the potential risks of ESM usage on thriving at work by examining how ESM usage affects thriving and for whom this relationship is amplified.

Drawing on Affect Event Theory, this study proposes a research model for investigating the underlying mechanisms and boundary conditions of the negative impacts of different ESM usage patterns on employees' thriving at work. This study employed Smart-PLS 4.0 with structural equation modeling to analyze multi-wave survey data from 255 employees, testing the proposed model.

The results indicate the following: (1) ESM usage triggers employees' workplace fear of missing out (WFoMO), increasing their online vigilance and consequently hindering their thriving at work. (2) The impact of ESM usage on employees' WFoMO and thriving at work varies with their ambition levels, with high-ambition employees being more susceptible to negative effects and (3) Different types of ESM usage exert distinct effects on employees.

This study substantiates the potential negative impact of ESM usage on employees' thriving at work, contributing to the literature on the “dark side” of ESM usage and thriving at work. This study confirms the critical mediating role of emotion, offering a novel theoretical perspective on understanding the mechanisms linking ESM usage and its outcomes. Additionally, this study identifies the moderating role of employee ambition, complementing the boundary conditions of ESM usage.

The purpose of this study is to examine whether service innovation capability can affect firm performance in the architecture, engineering and construction (AEC) context, and, if so, how.

This study developed a theoretical framework illustrating the performance impacts of service innovation capability through the business model in the AEC sector. An empirical study was conducted to test the hypotheses using 374 valid questionnaires using structure equation model (SEM).

The results verify that service innovation capability positively influences firm performance mediated by the business model. As to the direct effect, service innovation capability is positively associated with firm performance.

This study highlights how service innovation capability affects performance and reveals the underlying mechanism.