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This systematic review paper aims to investigate seasonal ambient change’s impact on the incidence of falls among older adults.

The population, exposure, outcome (PEO) structured framework was used to frame the research question prior to using the Preferred Reporting Items for Systematic Reviews and Meta-Analysis framework. Three databases were searched, and a total of 12 studies were found for inclusion, and quality appraisal was carried out. Data extraction was performed, and narrative analysis was carried out.

Of the 12 studies, 2 found no link between seasonality and fall incidence. One study found fall rates increased during warmer months, and 9 of the 12 studies found that winter months and their associated seasonal changes led to an increase in the incidence in falls. The overall result was that cooler temperatures typically seen during winter months carried an increased risk of falling for older adults.

Additional research is needed, most likely examining the climate one lives in. However, the findings are relevant and can be used to inform health-care providers and older adults of the increased risk of falling during the winter.

The purpose of Lat-Intersectology is to foster a deeper, more holistic understanding of societal structures, guiding more effective, inclusive policies and social justice initiatives. It champions the complexity of human diversity, urging a shift from linear analytical models to a more expansive, interlaced understanding of social realities.

Lat-Intersectology is a relatively new field of study that emerged from the intersection of Latino critical race and intersectionality theories. Lat-Intersectology seeks to build on Latino Critical theory (LatCrit) by examining the complex ways in which immigration status, race and ethnicity intersect Latino immigrants’ identities. Lat-Intersectology proposes a novel approach that seeks to unravel the deficit layers prevalent among Latino immigrants in the United States. This new approach emphasizes the understanding of these intersections not just as theoretical constructs but as privileged realities, influencing scholarly discourse. By foregrounding new perspectives, Lat-Intersectology contributes to a more nuanced understanding of US Latino immigrants’ social dynamics, promoting strategies for inclusion that are both informed by and tailored to the specificities of Latino immigrants’ context.

Lat-Intersectology provides a critical approach to the complex dynamics of privilege within Latino immigrant populations in the United States. It offers a nuanced analysis that recognizes diverse experiences shaped by race, ethnicity and legal status. The findings underscore that privileges are not monolithic among Latino immigrants; rather, they are fragmented and highly dependent on intersecting identities, providing a way for more inclusive and effective advocacy, tailored to the multifaceted nature of immigrant experiences in the United States.

Lat-Intersectology, as a groundbreaking methodology, shifts the paradigm in examining Latino immigrants in the United States by focusing on the intersections of their privileges, a concept often overshadowed by the dominant narrative of marginalization. This novel approach does not negate the systemic challenges faced but instead enriches our understanding by acknowledging the multifaceted identities within this community. By analyzing privileges alongside adversities, Lat-Intersectology facilitates a more nuanced discourse, recognizing that within the struggles, there are varying degrees of social advantages, perhaps tied to factors like skin color, immigration status, economic background or education. This methodology’s originality lies in its balanced view, offering a more comprehensive analysis of Latino immigrants’ experiences. Ultimately, the value of Lat-Intersectology is profound, as it fosters empathy and promotes a deeper comprehension of the complexities within human experiences, encouraging policies and social attitudes that reflect the diversity of experiences within the Latino immigrant community.

Departing from previous studies, this paper aims to explore the predictive roles of financial indicators on diversity.

Data on all companies that are publicly traded was acquired from the Refinitiv Eikon database. The final list, which comprises 873 worldwide business data from 2021, composed the dataset. We used fundamental forward selection techniques, multiple regression and best subset regression in R programming to look at the data and find the most critical factors.

We found support for the predictive roles of financial indicators on total diversity score and its three components in global companies. In addition, bagging and random forest algorithms were able to find a predictor role of total liability on the diversity pillar score and inclusion score. In contrast, the people development score was best estimated by R. The boosted regression algorithm was also able to find evidence of the predictor role of total liability for people development and inclusion score but not for diversity pillar score.

This study is one of the first to examine financial predictors of firms’ diversity scores using machine learning algorithms. The discussion section offers theoretical and practical implications and directions for further research.

The purpose of this paper is to explore and critically examine the integration of religious perspectives in diversity and inclusion (D&I) initiatives in the context of international business (IB).

This qualitative study used a case study methodology, focusing on an international consulting firm, inspired by Islamic Sufism, and their clients in South Africa and Pakistan. Data were collected through semi-structured interviews with consultants and clients from 25 organizations, participant observations during training sessions, and document analysis. Thematic analysis was used to identify and analyse patterns in the data.

The study revealed that religious ideas and individuals are marginalized in the global business environment through a phenomenon termed “secularchy”. Consultants from the Islamic Sufi-inspired firm had to detach religious elements from their management model to gain acceptance in secular corporate settings. Participants reported that religious perspectives were systematically excluded and those expressing religious viewpoints faced significant barriers. The findings emphasize the need for more inclusive D&I practices that genuinely integrate religious diversity into organizational cultures.

This study introduces the concept of “secularchy” to describe the systemic marginalization of religious perspectives in IB, a novel contribution to the D&I literature. The authors challenge the dominant secular paradigm in global business, advocating for more equitable and inclusive integration of religious diversity in organizational practices.

The purpose of this study is to examine the impact of sustainable supply chain management (SSCM) practices on both competitive advantage (CA) and organizational performance (OP) in the manufacturing sector in Ethiopia.

Data for the study were collected from a sample of 221 manufacturing companies operating in the four manufacturing groups/sectors in Ethiopia. In addition, data analysis was performed using the partial least squares method, which is a variance-based Structural Equation Modeling approach in the Smart-PLS software version (SmartPLS 4.0).

Based on the statistical analysis of the collected data, it demonstrates that SSCM has a significant and positive impact on both competitive advantage and organizational performance. Furthermore, statistical findings offer proof of the clear connection between competitive advantage and organizational performance. Moreover, competitive advantage indirectly mediates the relationship between SSCM and OP.

The primary limitation of this research is its reliance on a cross-sectional design. The generalizability of the findings obtained from the present study may be hindered. The variable under investigation in this research assessed organizational performance, a concept that is widely acknowledged to be extremely dynamic.

The study provides managers and researchers with valuable information on Sustainable Supply Chain Management strategies and how they influence competitive advantage and organizational performance in commercial and industrial environments.

This paper adds to the body of knowledge by providing new data and empirical insights into the relationship between SSCM practices and the performance of manufacturing companies in Ethiopia.

This study aims to explore the innovation deployment of construction contracting firms through exploratory–exploitative learning and organisational ambidexterity.

Firstly, a literature-based conceptual framework was developed to explain innovation implementation through exploratory–exploitative learning and organisational ambidexterity. A prominent Hong Kong construction contracting firm was then selected as the case study to explore its innovation deployment at different organisational levels (i.e. firm and project levels). Qualitative data were attained by conducting 12 semi-structured interviews with industry experts and document analysis. The thematic analysis using NVivo 12 software was adopted to analyse data.

Findings reveal that the case study firm successfully fosters innovation when ambidexterity is achieved through the balance between exploratory (i.e. radical innovation) and exploitative learnings (i.e. incremental innovation).

Establishing uniform ambidexterity (i.e. 50:50) at the firm or project level is not mandatory to deploy innovation successfully. The ratio can vary based on the characteristics and requirements of construction firms.

This paper shall motivate construction practitioners to adopt radical–incremental innovation ambidexterity in firms and ultimately enhance the productivity and efficiency of the construction industry.

Previous construction innovation research has frequently explored firm or project-level innovation separately. This study identified a multi-level focus on innovation. Through the lens of exploratory–exploitative theory, different forms of innovation ambidexterity for different levels are suggested rather than one specific ambidexterity.

Lesotho is one of the most vulnerable countries to effects of climate change with resultant recurrent drought. Drought and dry spells have become a common feature that causes crop failure which subsequently causes food insecurity for agrarian communities. While drought-related research has explored the association between rainfall and crop production, there is a gap in understanding people’s experiences of drought impacts and their opinion about what actions could be taken to avoid such impacts in the future. This study aims to ask: what are people’s experiences of drought and potential early actions that could save livelihoods and reduce human suffering?

A qualitative research approach was adopted where this paper carried out consultations in three agroecological zones, i.e. Southern Lowlands, Northern Lowlands and Mountains of Lesotho. Overall, this paper conducted 48 community consultations where genderized focus group discussions (mixed elderly, mixed youth, middled aged men and women) and nine key informants (local authorities, schoolteachers, wisemen and women in the community) interviews were conducted. Furthermore, interviews with stakeholders at the district level (sectoral leaders in disaster risk reduction sub-sectors) were conducted.

This study finds that there are interlinked socio-economic, productive and environmental impacts. Drought-related impacts reported were: cost of food, prevalence of diarrhoea in children under five years of age, conflicts over resources, animal diseases and mortality, aridity and crop failure. Informants also perceived the following actions could be taken before a drought is manifested: clear agro-climatological early warning messages, tailor-made drought-relevant advisories, water harvesting and availability of drought-tolerant seeds. It is thus imperative to streamline policy interventions regarding dissemination of early warning messages and anticipatory actions to reduce the negative impacts of drought on livelihoods.

In any qualitative study, the researchers need to reflect on their positionality and how that may influence the research process, outcomes and the general limitations of the research methods (Quandt, 2021). Given that the research team has worked with humanitarian organisations in the study area after which development interventions were implemented, this might have led to interviewees exaggerating the negative impacts of drought hoping the team to bring assistance into the community. In contrast, others may have downplayed the impact and anticipatory actions they deem necessary because of concern that people from different institutions come to ask questions without feedback.

This study provides much-needed evidence on how communities affected by drought conceptualise it and how it affects their livelihoods. It delivers an understanding of the nature of the impacts of drought and the nature of anticipatory actions perceived as essential in reducing these impacts and, in so doing, seeks to inform policymakers on designing interventions informed by evidence on lived experience. Future humanitarian and policy interventions to prepare for droughts can use this evidence to identify the type of support that would be the most well-received by community members who are preparing for long-term drying trends in their region.

The study presents an understanding of people’s opinions of the nature and state of drought impacts, which are key to any effort towards developing and implementing relevant anticipatory action interventions to minimise the impacts of drought.

This paper aims to explore the possible forms and characteristics of an artificial intelligence (AI) leader and discuss the potential applications of AI in political leadership and governance.

A categorization system consisting of three categories – the level of responsibility, the voting system and the bindingness of the AI’s decisions – was developed to better understand the various types of AI leaders. Additionally, to identify the main characteristics of an AI leader, a comprehensive literature review was conducted. The themes from the literature were then categorized and supplemented with additional discussions.

This paper identifies several potential AI leaders, including the AI President, the AI Dictator, the AI Minister and the AI Consultant. The key characteristics of an AI leader were also discussed. The primary strengths of AI lie in their intelligence and rationality, which could potentially lead our societies toward a peaceful and prosperous future. However, a significant drawback of AI is that it will always be limited by the capabilities and intentions of its programmer, whether human or AI.

Understanding the forms and characteristics of AI leaders may help policymakers and decision-makers explore the possibilities of integrating AI into political leadership and governance.

This paper contributes to the emerging field of AI in governance by exploring the forms and characteristics of AI leaders and discussing their potential applications in political leadership.

Building on the relationship marketing and stimulus-organism-response (SOR) theory, the purpose of this paper is to study the impact of the integrated store service quality (ISSQ) on the omnichannel customer lifetime value (CLV). The mediating role of customer commitment (affective, normative and continuance) and relationship program receptiveness with the moderating role of customer relationship proneness were relied upon to better understand the omnichannel customer profitability metric (CLV).

The study is descriptive and relies upon the cross-sectional data collected using the self-administered structured questionnaires from 785 omnichannel shoppers. A purposive sampling technique was performed in the study. Structural equation modeling was performed using the SMART-PLS 4.0 software to analyze the data.

The results indicate that omnichannel customer commitment (affective, normative and continuance) differentially mediates the relationship between ISSQ and relationship program receptiveness, subsequently impacting the omnichannel CLV. The customer relationship proneness significantly and positively moderated the relationships between different dimensions of customer commitment and relationship program receptiveness.

The study relied upon the cross-sectional data from the Indian population aged above 18 years for testing the proposed model. Further studies could test the model across different populations to generalize the study results.

This study addresses the need to investigate the omnichannel retail store customer profitability and their relationship performance with the store. By testing the customer relationship management model in the omnichannel retail store context, this study is the first to show that ISSQ will impact the customer profitability and relationship performance metric (CLV) through omnichannel customer commitment and relationship program receptiveness. The moderating effect of customer relationship proneness on a few proposed hypotheses was also tested to give managerial recommendations.

The paper aims to develop a cogent and coherent research instrument to measure the effect of good citizenship actions by corporations on the commitment of their employees through micro-level research (i.e. based on the perceptions of employees’ themselves).

A three-phase modus operandi has been used, where at first scale, items have been phrased from a methodical review, then arranged and finally validated by factor analysis. For this, 240 forms filled out by the top-notch executives of selected Indian family conglomerates have been analysed through a split-sample approach.

The results of exploratory factor analysis and confirmatory factor analysis uncover and underpin three building blocks (employee fidelity, immersion and perseverance) and indicate 14 indicators to reflect employees’ strong commitment on account of corporation’s citizenship endeavours.

This measurement catalyst would function as a panacea while addressing the existing methodological gap (by conducting an all-inclusive micro-level exploration), conceptual gap (using the “extended view” of corporate citizenship) and contextual gap (through culture-specific examination). Also, it could complement the earlier macro-level investigations.

It would realistically support corporate practitioners in identifying how their good deeds of citizenship have been affecting the diverse sides of commitment among their most valued yet overlooked assets.

Corporate citizenship, a concept that has by now theoretical relevance for a company’s internal stakeholders and on the commitment, they manifested, can nonetheless obtain empirical significance as well through this micro-level instrument by divulging employees’ underlying facets of commitment.