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A literature review or review article is an integral part of a scientific body of research which synthesizes prior knowledge and provides a holistic overview of a subject domain. While several studies emphasize the significance of literature reviews and include the guidelines for conducting a review, limited studies demonstrated different types of literature review methodologies in a comprehensive way. Accordingly, this chapter presents various types of review methodologies which includes narrative, descriptive, systematic, meta-analysis, hybrid, umbrella, scoping, theoretical, and critical reviews. In addition, the authors' skills including logical reasoning, content analysis, literature mapping, critical writing, and ethical consideration are presented. Further, quality aspects of the literature review are discussed such as the rigor and relevance of the selected studies. Overall, this chapter provides implications for researchers in understanding types of literature review methodologies along with their objectives, strengths, and weaknesses which can assist them in selecting a suitable methodology while conducting a review.

This article aims to develop a measurement scale for assessing agripreneurial competencies relevant to emerging economies in alignment with the SDG2 of the UN Sustainable Development Goals 2030.

The scale development procedure includes item development and refinement, data collection, reliability and validity tests and scale purification with exploratory factor analysis (EFA) and confirmatory factor analysis (CFA).

The validated scale carries eight dimensions of competencies: Agreeableness (AG), Technological Competency (TC), Competitive Spirit (CS), Innovativeness (IN), Self-Confidence (SC), Social Responsibility (SR), Conscientiousness (CO) and Leadership (LS). The analysis puts forth a good and fit model, and the new scale reports sufficient convergent and discriminant validity.

This study is focused on the agripreneurial competencies of individual agripreneurs; institutional agripreneurs are excluded from the study.

Identifying prominent agripreneurs using the scale developed from this study will aid in allocating various government and non-governmental organisations' assistance to agripreneurs. Since developing economies rely heavily on agriculture, any positive contribution can help alleviate poor economic growth, end hunger, and promote sustainable agriculture (SDG 2 of 2030).

Though several scales for measuring entrepreneurial competencies are available, there is no standard scale to measure agripreneurial competencies. This article presents the development and validation of a measurement scale to assess the major competencies of agripreneurs that influence agripreneurship performance.

The purpose of this study is to make an exploratory analysis of the impact of the entrepreneurial ecosystem (EE) as defined by Acs et al. (2014) on opportunity-driven senior entrepreneurial activity in Latin America.

The research uses data from the Global Entrepreneurship Monitor and the Global Entrepreneurship and Development Institute of five Latin America countries (Argentina, Brazil, Chile, Colombia and Mexico), providing a total of 15,019 observations of people that are 50+ years old, between the years 2013 and 2017. A multi-level logistic regression model was used to estimate the relation between the total entrepreneurial activity by opportunity of seniors and some EE indicators. A total of three equations were estimated on the data set described.

This research confirms the relevance of some elements of EE on senior entrepreneurship in Latin America. Entrepreneurial attitudes have a positive relationship with senior entrepreneurs, generating higher levels of entrepreneurial ventures. The combination of institutions that support these attitudes on the EE enhances senior entrepreneurial activity. It also demonstrates that a higher level of entrepreneurial education at postschool stages is relevant to increasing senior entrepreneurial activity.

This research makes some interesting contributions in the field of measuring the impact of EE on senior entrepreneurship by opportunity in developing countries, filling a literature gap. It allows us to glimpse some measures that policymakers could take to improve the entrepreneurial activity of this segment in the region, such as implementing programs that facilitate networking opportunities and mentorship, along with providing training in business and financial literacy.

This study aims to validate a model to assess the level of lean maturity of Brazilian hospitals based on the adaptation of the SAE J4000/2021 standard.

The methodology was divided: (1) adaptation of the standard to the health context, (2) application of the questionnaire through a survey, and (3) comparison of the results of the level of maturity in the standard and by the clustering technique, using Minitab.

The research presents two contributions: (1) validation of a model to assess the level of lean maturity based on the SAE J4000/2021; (2) insights into the level of maturity of Brazilian hospitals. It was observed that only 10% of the sample was classified at maturity level 3 and 75% at level 2. Private and large hospitals showed greater maturity compared to the others.

This includes the limited number of hospitals that participated in the survey, given the difficulty of adherence to due constraints of time and staffing from hospitals, during the COVID-19 pandemic.

This article presents a lean maturity assessment proposal, adapting a consolidated standard in the automobile industry to the health context. Insights on the lean maturity of Brazilian hospitals can contribute to the development of policies to encourage the implementation of the lean philosophy directed to each specific environment.

This study serves as a guide for public agents interested in monitoring the quality of hospital indicators through the SAE J4000/2021 standard. From this lean maturity analysis, hospital managers can understand their opportunities for improvement in both human and organizational aspects. This favors the improvement of service delivery to society that depends on health services.

Due to the lack of research that validates lean maturity level assessment models in Brazilian hospitals, this study can be considered a pioneer in this Brazilian research by validating the SAE J4000/2021 standard in its updated version in the health context.

Tropical wetland ecosystems are threatened by climate change but also play a key role in its mitigation and adaptation through management of land use and other drivers. Local-level assessments are needed to support evidence-based wetland management in the face of climate change. This study aims to examine the local communities’ knowledge and perception of climate change in Yala wetland, Kenya, and compare them with observed data on climate trends. Such comparisons are useful to inform context-specific climate change adaptation actions.

The study used a mixed methods approach that combined analysis of climate data with perceptions from the local community. Gridded data on temperature and rainfall for the period from 1981 to 2018 were compared with data on climate change perceptions from semi-structured questionnaires with 286 key informants and community members.

Majority of the respondents had observed changes in climate parameters – severe drought (88.5%), increased frequency of floods (86.0%) and irregular onset and termination of rains (90.9%) in the past 20 years. The perceptions corresponded with climate trends that showed a significant increasing trend in the short rains and the average maximum temperature, high incidence of very wet years and variability in onset and termination of rainfall between 1981 and 2018. Gender, age and education had little influence on knowledge and awareness of climate change, except for frequency of floods and self-reported understanding of climate change. The community perceived the wetland to be important for climate change adaptation, particularly the provision of resources such as grazing grounds during drought.

The study faced challenges of low sample size, use of gridded climate data and reproducibility in other contexts. The results of this study apply to local communities in a tropical wetland in Western Kenya, which has a bi-modal pattern of rainfall. The sample of the study was regional and may therefore not be representative of the whole of Kenya, which has diverse socioeconomic and ecological contexts. Potential problems have been identified with the use of gridded data (for example, regional biases in models), although their usefulness in data scarce contexts is well established. Moreover, the sample size has been found to be a less important factor in research of highly complex socio-ecological systems where there is an attempt to bridge natural and social sciences.

This study addresses the paucity of studies on climate change trends in papyrus wetlands of sub-Saharan Africa and the role of local knowledge and perceptions in influencing the management of such wetlands. Perceptions largely influence local stakeholders’ decisions, and a study that compares perceptions vs “reality” provides evidence for engagement with the stakeholders in managing these highly vulnerable ecosystems. The study showed that the local community’s perceptions corresponded with the climate record and that adaptation measures are already ongoing in the area.

This study presents a case for the understanding of community perceptions and knowledge of climate change in a tropical wetland under threat from climate change and land use change, to inform management under a changing climate.

This paper aims to examine the use of coproduction to create a film “Do You See Me?”, to amplify the voices of a “hard to reach” group: older lesbian, gay, bisexual (LGB) victim-survivors of domestic abuse (DA).

Qualitative methods were used as part of the co-production, which included two practitioner focus groups and 14 narrative interviews with lesbian, gay, bisexual, transgender, queer or questioning persons or the community (LGBTQ+) victim-survivors.

Despite differences in gender, sexualities, roles and “lived experiences” across stakeholders, there was a shared aim to ensure victim-survivors had a sense of ownership in this endeavour. Consequently, a positive reciprocity existed that helped to foster effective communication, allow for capacity building and subsequent knowledge exchange. The collaboration produced a nuanced meta-narrative making visible the “lived experiences” of LGB victim-survivors’ perceptions of perpetrator behaviours.

To the best of the authors’ knowledge, this paper is original in two ways, firstly, providing insights into the “lived experiences” of an invisible group; older LGBTQ+ victim-survivors, and secondly, in involving them in the co-production of a film. The paper aims to reveal how interdependencies that developed between stakeholders helped to disrupt understandings, develop new ways of knowing and build levels of trust. Group interactions helped to dismantle hierarchies, so those with experiential knowledge: the survivors, had greater control throughout the research process. The paper is significant in providing a critical reflection on the ethical, methodological and resource challenges involved in co-production. It also makes recommendations for researchers and funders about the value of using co-production as a method to engage with hard-to-reach groups.

The construction industry sector is developing rapidly, especially with the increasing pace of the Fourth Industrial Revolution in this sector. Construction projects can benefit from greater integration and collaboration between their technologies and processes to reap the advantages and keep pace with the recent significant technological and managerial techniques developments. Therefore, this study aims to delve into and investigate building information modeling (BIM) and Lean Construction (L.C.) with a concentration on the potential BIM–lean interactions synergy and integration in the Jordanian construction industry.

This study takes exploratory nature, followed by the deductive research approach, and is designed to be a mono-quantitative research methodology. Moreover, the sampling technique is non-probability convenience sampling, and the research strategy is implemented through a questionnaire used and analyzed by using Statistical Package for Social Science to conduct descriptive and inferential statistical analysis and verify the reliability and validity through proper tests.

The BIM–lean interactions synergy and integration findings revealed that eliminating waste (time, cost, resources), promoting continuous improvement (Kaizen) and standardizing as lean construction principles are the most significant and agreeable toward achieving BIM–lean interactions synergy. On the other hand, “High 3D Visualization Modelling” was the most significant BIM function, followed by “Rapid and Auto-Generation of Documents and Multiple Design Alternatives” and “Maintenance of Information and Design Model Integrity.” Moreover, based on the relative importance index (RII) values, “Lack of Technical Expertise in BIM-LEAN” is the most significant challenge with a 0.89 value of RII, followed by “Lack of Government Direction and Standard Guidelines” with a 0.88 value of RII and “Financial considerations” with a 0.83 value of RII.

This study will help provide a new detailed overview that investigates the effects and expected benefits of integrating BIM processes and technological functionalities with lean construction principles within a synergetic environment. Moreover, the study will increase the awareness of using new technologies and management approaches in the architectural, engineering and construction industry, seeking to achieve integration between these technologies to reach ideal results in terms of the outputs of construction operations.

The purpose of this paper is to examine small and medium-sized enterprises’ (SMEs) level of participation in human resource development activities during a labor shortage. Drawing on human capital theory, it examines whether SMEs’ profiles, determined according to their participation in different types of training activities, relate to perceived benefits of training, barriers to participation in training and learning culture.

This study applies latent profile analysis (LPA) to 10 training practices of 427 SMEs in Quebec, Canada.

The LPA distinguished four profiles of SMEs, reflecting differing capacities for mobilizing training resources during a labor shortage. These four profiles show differences with regard to perceived training benefits, barriers to participation in training and learning culture.

To the best of the authors’ knowledge, this study is among the first to focus on the specific ability of SMEs to invest in their human capital in the unique and recent context of a labor shortage.

The purpose of this study was to identify key areas for benchmarking (BM) towards the improvement of small and medium scale enterprises (SMEs) construction firms in developing countries.

The study employed the use of the quantitative research method in the collection and analysis of primary data collected from field surveys using a piloted close-ended questionnaire created following a review of available literature on BM. Based on 63 solicited views of professionals with SMEs (quantity surveyors, project managers and architects) data collected were statistically analysed using a one-sample t-test.

The findings of the study indicate that the key areas for BM towards the improvement of SME construction firms in developing countries in order of relevance are “Financial Performance”, “Competitiveness”, “Customer Satisfaction”, “Technology Advancement”, “Communication Skills”, “Collaboration”, “Employee Satisfaction” and “Product orientation”.

The study has given more insight into the areas that need more attention for SMEs BM to achieve improvement. It can therefore be suggested firms that adapted identified areas will derive the benefits of BM. It is further opined that more BM education should be provided to various SMEs construction firms to facilitate an effective and efficient BM regime aiming at performance enhancement in project delivery.

This forging research attempts to identify the key areas for BM towards the improvement of SMEs construction firms in developing countries. Although there have been several efforts to create BM tools for the construction industry.