Systematic Analysis Research Articles

Digital technologies and social sustainability in the digital transformation age: a systematic analysis and research agenda

Purpose This paper aims to systematically review the constructive effects of digital transformation (DT) on social sustainability, examining its impact across democracy and governance, social cohesion, quality of life, equality and diversity. It emphasizes the need for appropriate frameworks that incorporate DT strategies in organizational practices to improve social sustainability. Design/methodology/approach A systematic literature review was carried out through Web of Science and Scopus databases to identify the distinctive papers that explored the impact of DT on social sustainability. It analyzes how various digital technologies, like Internet of Things, cloud computing and mobile computing, can be strategically embedded in organizational practices to optimize social sustainability outcomes. Findings This study reveals that although DT significantly enhances operational capabilities and consumer experiences, its integration into social sustainability practices is often overlooked. It proposes a novel framework that aligns digital capabilities with sustainability goals, aiming to enrich organizational performance and societal welfare. This paper identifies dynamic capabilities as crucial for sustaining competitive advantage in a digitally transformed business landscape. Research limitations/implications The primary limitation is the reliance on secondary data, which may not fully capture the rapid advancements in DT. Future research should focus on empirical studies to validate the proposed framework and explore the dynamic capabilities required for integrating DT in social sustainability practices. Originality/value This study extends the discourse on DT by linking it explicitly with social sustainability, presenting a structured analysis that highlights the need for strategic integration of digital technologies within organizational sustainability practices. It fills a gap in the literature by proposing a comprehensive framework for organizations to follow, thereby contributing to the theoretical and practical understanding of DT’s role in enhancing social sustainability.

The Prenuptial Agreement of Business Spouses: Guarantees of Respect for Mutual Interests and Protection of the Rights of the Parties

Introduction: in the light of modern socio-economic realities, an urgent problem is the effective protection of the property interests and rights of spouses who own a family business. The conclusion of a prenuptial agreement provides spouses who have a family business and are parties to the prenuptial agreement with the opportunity to reduce financial risks and provide themselves with additional legal protection in the event of termination of the marital relationship. The inclusion of legally verified contractual structures in a prenuptial agreement is very effective in preventing future conflicts between spouses who own a joint business. Purpose: to reveal the legal content of the prenuptial agreement concluded between spouses who own a joint business in the system of contractual structures and to develop recommendations for improving the contractual regulation. Objectives: to identify conflicts related to the legal guarantees of respect for mutual interests of spouses who have a family business and are parties to a prenuptial agreement; to identify contractual structures used to minimize conflicts between the subjects of a prenuptial agreement; and to develop a conceptual model for concluding a prenuptial agreement between spouses who own a joint business remotely via the Internet. Methods: the methodological framework for the research is based on the general scientific methods: systematic analysis, abstraction, and the dialectical method, as well as a set of specific scientific methods: structural and functional, formal legal, comparative law, forecasting, and modeling. Results: it is proposed to amend Art. 11 of Federal Law No. 193-FZ dated July 27, 2010, “On an Alternative Dispute Settlement Procedure with the Participation of an Intermediary (Mediation Procedure),” supplementing its paragraph 8; in the context of the effective implementation of the concept of “Electronic State,” the Federal Notary Chamber it is proposed to develop, test, and implement a virtual assistant based on artificial intelligence technologies, which will function not only on the Federal Notary Chamber website but also on the online resources of the notary chambers of the constituent entities of the Russian Federation. Conclusions: it is recommended to normalize the mediation procedure for spouses who have a family business and are parties to a prenuptial agreement through information and communication technologies; as part of the implementation of the concept of “Electronic State,” the Federal Notary Chamber should develop, test, and implement a virtual assistant (“chatbot”) based on artificial intelligence, which will be available not only on the Federal Notary Chamber website but also on the websites of notary chambers of the constituent entities of the Russian Federation, and at the request of users, including spouses who have a joint family business, it will perform an advisory function when drafting a prenuptial agreement.

Unveiling the hidden hands: Analysis of corporate ownership of industrial tuna fishing vessels in the Eastern Pacific Ocean

Distant-water fishing (DWF) refers to fishing operations conducted by companies in waters beyond their national exclusive economic zones (EEZs), often targeting the EEZs of other coastal states or international waters. Research on DWF typically emphasizes the flag states of vessels, rather than the nationalities of the corporations that own them, despite evidence of efforts to obscure ownership. This paper examines the corporate owners of 1648 industrial and semi-industrial tuna fishing vessels in the Eastern Pacific Ocean (EPO) using Orbis data, analyzing ownership at three levels: flag state, direct corporate owners, and ultimate corporate owners. Results show that flag state data alone understate the true fishing capacity of key DWF nations. Shifts in ownership nationality across levels are significant, notably for Taiwanese and Spanish corporations owning vessels through proxies in the Global South. These ownership shifts impact 6 % of vessels and 14 % of gross tonnage in the registered EPO tuna fleet. Furthermore, spatial analysis using Global Fishing Watch data highlights the Galapagos Islands EEZ as a critical fishing zone, frequently accessed by foreign fishing corporations through Ecuadorian intermediaries. This study underscores the need to incorporate ownership data into fisheries governance for greater transparency and accountability. The systematic collection and analysis of ownership data would allow fisheries managers to better monitor capacity, address power concentration, and promote policies that ensure fairer distribution of resources and benefits.

Effect of Teachers Attitudes towards Teaching on Students’ Performance in Mathematics Subject in Public Day Secondary Schools in Rwanda: A Case of Huye District

The study investigated how teachers' attitudes toward teaching influenced students' academic progress in mathematics in a public secondary school in Huye District. Specifically, the research identifies the teachers' attitudes toward teaching that could influence the achievement of pupils in Mathematics-related subjects in public day secondary schools in Huye district. Guided by the Theory of Planned Behavior, this study used a combined method approach to collect both quantitative and qualitative data to examine how teachers' attitudes influence their teaching practices in Mathematics. Purposive and random sampling were applied to select sectors, schools, and participants, allowing for systematic data collection and analysis on teachers' attitudes and their influence on students’ performance. The target population for this study was 200, including 3 sector educational officers, 5 head teachers, 25 mathematics teachers and 167 Mathematics students; and the Yamane method was used to calculate a sample size of 134 respondents including 2 sector educational officers, 3 Head teachers, 15 teachers and 114 students. Primary data sources included surveys, while secondary data came from observation and interview methods. This study used purposive, stratified and simple random sampling procedures to create a sample group of respondents. The research collected and analyzed data using both quantitative and qualitative approaches. Content analysis helped with qualitative data analysis, while quantitative data was presented in SPSS Version 21.0 utilizing statistical methods such as descriptive (frequency, percentage, imply and deviation from the mean) and inferential statistics (correlational and regression analysis). For the study objective, the results show that 76.3% strongly agreed that teachers' communication skills, 69.3% strongly agreed that effective goal-setting, 64.9% strongly agreed that lesson preparation, 61.4% strongly agreed that lesson preparation, 78.1% strongly accepted that professional commitment, and 68.0% highly agreed that adaptability and flexibility reflect my teachers' attitudes toward teaching. 64.9% strongly agreed that early arrival in class during the teaching lesson reflects the teachers' attitudes toward teaching. The study found a strong positive correlation between exams, test results, and factors like interpersonal skills, goal-setting, lesson preparation, and professional commitment, which all contributed to improved student performance. The researcher concluded that early attendance and communication skills of teachers were also linked to positive educational outcomes, with tests enhancing performance across subjects. With a p-value below 0.05, the study showed that active class participation boosts effectiveness. Recommendations included improving teacher attitudes towards math, enhancing confidence, making Math enjoyable, investing in teacher training, providing resources and encouraging community involvement in Math careers. Regular follow-ups and ongoing professional development for teachers were also advised.

Qualitative Analysis of Daphnane Diterpenoids in Various Parts of Daphne pontica L. by UHPLC-Q-Exactive-Orbitrap MS.

Daphne pontica L. is an evergreen shrub that is recorded as an anti-diarrheic plant in Turkish folk medicine. Previous studies on D. pontica have reported, albeit slightly, the isolation of daphnane diterpenoids, but no systematic phytochemical analysis of daphnane diterpenoids has been conducted. This study aimed to comprehensively investigate daphnane diterpenoids in the extracts from the different parts (stems, leaves, and fruits) of D. pontica. An ultra-high-performance liquid chromatography coupled with Q-Exactive hybrid quadrupole Orbitrap mass spectrometer (UHPLC-Q-Exactive-Orbitrap MS) was used for the qualitative analysis of D. pontica. The stems, leaves, and fruits of D. pontica were extracted with diethyl ether. Each extract was then pretreated by a solid phase extraction cartridge and subjected to LC-MS/MS analysis. Detected daphnane diterpenoids were tentatively identified by comparison with an in-house daphnane library, and their chemical structures were estimated in detail by MS/MS fragmentation evaluation. A total of 33 kinds of daphnanes were identified from the different parts of D. pontica, and were classified into three subtypes: daphnane orthoester, polyhydroxy daphnane, and macrocyclic daphnane orthoester. Among them, six daphnanes were postulated to be previously unreported compounds based on MS/MS fragmentation elucidation. Furthermore, the three plant parts showed similar daphnane diterpenoid profiles, with the stems containing the most abundant daphnane diterpenoids. This is the first study to perform qualitative analysis of daphnane diterpenoids systematically and comprehensively in different parts of D. pontica. The results revealed that D. pontica is a plant resource rich in a variety of daphnane diterpenoids.

A REVIEW OF THE LITERATURE ON DIGITAL ENTREPRENEURSHIP

Objective: This study aims to comprehensively review digital entrepreneurship (DE) research, identifying key themes, trends, and future research directions. Theoretical Framework: The review draws upon frameworks including entrepreneurial ecosystem theory, digital platform theory, and theories of entrepreneurial intention formation to understand DE dynamics. Method: A systematic and bibliometric analysis of 276 English-language articles published between 2000 and 2023 from the Scopus database was conducted. VOSviewer software analyzed publication trends, keywords, and citations. Results and Discussion: DE research has significantly grown, particularly in the last five years. Five thematic clusters emerged: DE ecosystems, cultivating digital entrepreneurs, entrepreneurship in the digital economy, exploring new frontiers, and sustainable, competitive digital enterprises. The study highlights influential works and emerging areas such as digital platforms, entrepreneurial intention, and DE education. The discussion contextualizes these findings within the theoretical frameworks and their implications. Research Implications: This research provides valuable insights for researchers, educators, and policymakers. It emphasizes the need for further research on the impact of digital technologies on entrepreneurial ecosystems, individual entrepreneurial intentions, and the role of education in fostering DE. Originality/Value: This study contributes by offering a comprehensive and up-to-date overview of DE research, identifying knowledge gaps, and proposing a future research agenda. The systematic approach utilizing bibliometric techniques provides a robust analysis of the DE literature, enhancing understanding of this evolving field.

SWOT-AHP Analysis of BIM Technology Utilization in the Japanese Construction Industry

Due to its advantages, Building Information Modeling (BIM) technology has been widely accepted and developed globally. BIM is transforming traditional construction methods and enabling the resolution of issues such as labor shortages, overwork, and rising costs, which the Japanese construction industry faces. In Japan, there is an active push to promote the application of BIM technology; however, its widespread adoption is encountering numerous challenges and barriers. Although BIM technology has been applied and developed globally, there is still a lack of systematic analysis on the specific challenges and strategies of its implementation in the Japanese construction industry. This study reviews the literature on the application of BIM worldwide and surveys stakeholders in the Japanese construction industry, examining strengths, weaknesses, opportunities, and threats. By integrating Analytic Hierarchy Process (AHP) and SWOT analysis, this research prioritizes these factors, assesses their impact on the diffusion of BIM technology, and provides in-depth analysis and insights for the promotion and development of BIM technology in Japan.

Improved radiological imaging of congenital aural atresia using flat-panel volume CT.

Precise preoperative radiological evaluation of aural atresia is of utmost importance for surgical planning. Until now, multislice computed tomography (MSCT) has been used but it cannot adequately visualize small structures such as the stapes. Flat-panel volume CT (fpVCT) with its secondary reconstructions (fpVCTSECO) offers ahigh-resolution visualization of the middle ear. New otosurgical planning software also enables detailed 3D reconstruction of the middle ear anatomy. Evaluation of the use of fpVCTSECO in combination with an otosurgical planning software for amore accurate diagnosis and treatment of congenital aural atresia. Sevenpatients with congenital aural atresia underwent preoperative MSCT (600 µm slice thickness) and corresponding fpVCT (466 µm slice thickness). In addition, fpVCTSECO (99 µm slice thickness) were reconstructed. The Jahrsdoerfer and Siegert grading scores were determined and their applicability in the abovementioned imaging modalities was evaluated. In addition, the malleus incus complex was analyzed in 3D rendering. Imaging with fpVCTSECO enabled reliable visualization of the abnormalities, in particular the ossicular chain. Asignificant difference in the Siegert grading score was found. In addition, the malleus-incus complex could be visualized better in 3D. The introduction of new imaging techniques and surgical planning techniques into the diagnostic concept of aural atresia facilitates the identification of malformed anatomy and enables systematic analysis. This combination can also help to more accurately classify the pathology and thus increase the safety and success of the surgical procedure.

Self-testing for human papillomavirus as a screening method for identifying risk groups

Due to the high prevalence of cervical cancer, it is necessary to take measures aimed at reducing its frequency through vaccination, screening, detection and treatment of precancerous conditions. The article presents a systematic analysis of scientific data on the use of testing for self-sampling for human papillomavirus as a tool to improve the effectiveness of screening and detection of precancerous diseases of the cervix. It has been shown that the use of such tests, which are based on polymerase chain reaction (PCR), have similar clinical accuracy compared to sampling by a doctor, and thus this option is promising for expanding the coverage of cervical cancer screening. The presence of expected economic efficiency also determines the relevance and prospects for these tests, but further research is needed to assess their implementation in routine practice.

Resource supply and demand model of military settlements in the cold weapon era: case of Zhenbao Town, Ming Great Wall

As an important military defense project in Chinese history, the Ming Dynasty Great Wall and its associated military settlements played a crucial role in maintaining border security. A systematic analysis of how military settlements allocated resources based on external threats and geo-strategic needs is essential to understanding their settlements defense systems. However, this aspect has been relatively under-explored in existing research. Therefore, a resource allocation assessment model for Great Wall military settlements during the Cold Weapon era is established to facilitate a more scientific analysis and quantitative assessment of Military Defense Capabilities(MDC) and Military Requirements(MR). This study employs a combined Analytical Hierarchy Process (AHP) and Principal Component Analysis (PCA) approach to determine the weight of each indicator for both military defense capability and military requirement. Spatial clustering using K-means is conducted to visualize the distribution of these strengths and weaknesses. An Ordinary Least Squares (OLS) regression model links military requirements with defense capabilities, assessing the relationship between settlement locations and historical battle sites. Residual analysis is utilized to identify areas of resource over-allocation or under-allocation. The study reveals that the regional differences in military defense capabilities and requirements within the Zhenbao Town area during the Ming Dynasty correspond closely with the locations of frequent conflicts. This finding suggests that the distribution of defensive capabilities were strengthened in areas with challenging terrain, while the effectiveness and allocation of defense capabilities were determined by logistical support and transportation conditions. This study enhances our understanding of historical military strategies from a historical geography perspective and offers innovative insights for analyzing Great Wall settlement, moving beyond mere sensory intuition and historical experience.

Nurse Perceptions of Barriers to Infection Prevention and Control in Labor and Delivery

ObjectiveTo identify nurse perceptions of barriers to performing recommended infection prevention and control practices in labor and delivery to inform future resources tailored to this setting. DesignQualitative focus groups. SettingThe 2023 annual convention of the Association of Women’s Health, Obstetric and Neonatal Nurses, New Orleans, LA. ParticipantsA convenience sample of 16 labor and delivery nurses. MethodsStaff of the Centers for Disease Control and Prevention conducted two focus groups using a standardized script. Coding was performed by three reviewers using Krueger’s systematic analysis process. ResultsAmong the 16 participants, 94% were registered nurses, and 6% were advanced practice registered nurses. From our analysis of the data, five major themes emerged, including the following: Lack of Individual and Organizational Accountability in Implementing Recommended Infection Prevention and Control Practices; Inconsistent Application of Guidance Across State, Hospital, and Specialty; The Unpredictable Nature of the Labor and Delivery Setting; Labor and Delivery Is Not Prioritized in the Hospital for Infection Prevention and Control Resources; and Lack of Coordination Across Stages of Care From Prenatal to Postpartum. Conclusion(s)We identified barriers experienced by nurses to consistently implementing infection prevention and control practices in the labor and delivery setting. These barriers can be addressed through targeted interventions and the development of obstetric-specific infection prevention and control resources.

Target-centric analysis of hepatitis B: identifying key molecules and pathways for treatment

Hepatitis B virus (HBV) poses a significant global health challenge, potentially leading to severe liver conditions, with currently limited effective treatment options available. Xiao-Chai-Hu-Tang (XCHT), a well-known Traditional Chinese Medicine (TCM) prescription, shows promise in clinical trials for treating HBV. Therefore, screening the complex components of XCHT, identifying the active compounds, and closely exploring the targets associated with hepatitis B may constitute an effective strategy for the development of new therapeutic drugs for the treatment of this disease. A systematic pharmacology and GEO chip analysis identified key targets and pathways for hepatitis B treatment and effective ingredients. Molecular docking and molecular dynamics simulation techniques were used to explore the affinity and stability of active compounds with core targets, while assessing the druggability and safety of the active compounds. The therapeutic effect of the active compound protoporphyrin in XCHT on hepatitis B were mediated through key targets such as AKT1, MAPK1, and LCK, as well as key signaling pathways like PI3K-Akt signaling pathway and Ras signaling pathway. Protoporphyrin effectively bond to active pockets of core targets and demonstrated favorable druggability and a high safety threshold. The study provided valuable insights into the development of effective treatments for hepatitis B.

ADEQUATE ASSESSMENT OF COMPETITIVE ADVANTAGES THROUGH PORTER’S DIAMOND. APPLICATION TO BULGARIAN NON-FERROUS METALLURGY

The topics of competitive advantages and competitive strategies of the enterprise in the wine sector are becoming more and more relevant these days, given the fact that most enterprises operate under conditions of high competition and minimal amount of resources. Competitive advantages and competitive strategies are precisely one of the main processes that make the enterprise profitable, successful and profitable. The main objective of the present paper is to examine the importance of competitive advantages and competitive strategies for the metallurgical enterprise. An adequate assessment of competitive advantages through Porter’s Diamond Model involves analyzing the four key elements - factor conditions, demand conditions, related and supporting industries, and firm strategy, structure, and rivalry - along with the roles of government and chance. Applying this model to Bulgarian non-ferrous metallurgy, which includes industries producing metals like aluminum, copper, zinc, and lead, can help to assess the competitive position of the sector in the global and European markets. The main research methods used in the development are content analysis, comparison method, intuitive and systematic approach, analysis and synthesis method.

Exploring tourist perceptions of calligraphic landscapes: Insights from social media text analysis

Calligraphic landscapes, as distinctive cultural symbols and landscapes with Chinese characteristics, are widely used in urban design, placemaking, and tourism promotion. In cultural heritage tourism, tourists’ perceptions of the symbolic meanings of landscapes significantly influence their travel experiences. This study primarily utilizes social media text analysis to explore the perceptual characteristics and symbolic meanings of calligraphic landscapes in different touristic contexts. Using Python tools, user-generated content was extracted from the Xiaohongshu app and analyzed with ROST CM6, VOSviewer, and NVivo 20 to conduct systematic quantitative and qualitative analyses, including content analysis, semantic network analysis, and co-occurrence clustering. The findings indicate that cultural exchanges on social media significantly enhance public perception of the symbolic meanings of touristic spaces. As online check-in behavior becomes increasingly popular, calligraphic landscapes have gained new esthetic-symbolic meanings among young tourists, becoming part of fashion culture and reflecting the digitalization of a sense of place. In addition, user-generated content reveals that tourists’ perceptions of calligraphic landscapes are intricately linked to place recognition, cultural symbolism, calligraphic appreciation, heritage value, and esthetic experiences. As a significant cultural symbol, calligraphic landscapes are frequently encountered during travel, with their symbolic meanings varying according to the surrounding environment, thereby influencing tourists’ preferences in diverse settings. Furthermore, this study proposes several innovative strategies for designing calligraphic landscapes. This research not only validates the feasibility of web text analysis for exploring the symbolic meanings of cultural landscapes but also enhances theoretical perspectives on how symbolic landscapes shape tourists’ psychological and behavioral responses.

The Future of Artificial Intelligence and Genetic Insights in Precision Cardiovascular Medicine: A Comprehensive Review

Abstract A medical condition called cardiovascular disease (CVD) affects the heart or blood vessels, and about 40% of its causes can be attributed to genetic factors. The pathophysiology of CVD is still unknown despite numerous studies identifying important environmental and genetic factors. Genetic data research has significantly increased due to the application of genome-wide association studies. The utilization of artificial intelligence (AI) technology demonstrates clear advantages in managing intricate projects, outperforming traditional statistical methods in processing such data. The use of AI in the status of genetic research on CVD and medicine is briefly reviewed in the opening section of this article. Then, it gives a complete picture of how AI is used in genetic CVD research, including genetic data-driven diagnosis and prognosis, genetic variation analysis, gene expression profiles, gene interactions, and analysis of genes using knowledge bases. Even though much research has yielded significant findings, it is still early. The main disadvantages are database limitations, the underuse of AI in systematic biology analysis, and the lack of a theoretical framework for interpreting analysis results. The paper concludes with future directions and the significance of creating comprehensive, high-quality, large-sample-size data-sharing resources. Much research is going into how to use AI analysis techniques to help with development. Being creative with computers can help make new CVD intervention protocols and develop and test theoretical models.

Predictive model of spatial nematic order in confined cell populations

Two-dimensional tissues made of spindle-shaped cells have many applications in the fields of tissue engineering and biotechnology. The uniformity of the tissues is critically affected by topological defects, which are singular points of cell alignment. For systematic control and analysis of defect distributions, this paper proposes a numerical method to predict and quantify spatial distributions of defects in two-dimensional domains. In the proposed method, spindle-shaped cells are modeled as nematic liquid crystals, whose alignment and Frank elastic energy are explicitly expressed. The equilibrium distributions of the defects can then be calculated using a Markov chain Monte Carlo method. The proposed method was experimentally verified by culturing mouse myoblast (C2C12) cells on microwells. The order of the defect scattering was almost the same as for the proposed estimation method, indicating that the proposed method can be used for the systematic design of topographical guides for controlling defect distributions.

An Exploration of Mobile Phone Policies and Associated Leadership Implications for School Leaders: A Systematic Review and Document Analysis

ABSTRACT The increasing prevalence of students bringing mobile phones (MPs) to schools has led to increasing pressure on school leaders to implement effective MP policies. Although the effects of MP use have been studied, there has been no systematic review of the MP management research and policies. The aim of this study is to report on challenges and approaches to address the arising implications of MP policies in schools. Using a systematic review of international research and a document analysis of national (Australian) policy documents, this study broadens the understanding of elements contributing to the effectiveness of MP policies at schools.

The Impact of Artificial Intelligence on Economic Development: A Systematic Review

Artificial Intelligence (AI) has emerged as a transformative force across various sectors, reshaping economies and societies globally. This review aims to provide a systematic analysis of the existing literature on the impact of AI on economic development. By conducting a combined bibliometric and content analysis of relevant studies from the past two decades, we identify major themes and research directions within the field. The review reveals that AI plays a significant role in enhancing productivity, fostering innovation, and driving economic growth. Key areas of influence include intelligent decision-making, labor market transformations, Industry 4.0, and social governance. However, AI also presents challenges such as ethical concerns, potential job displacement, and privacy risks. The findings highlight both opportunities and limitations of AI in economic contexts, emphasizing the need for policies that support positive economic impacts while mitigating adverse effects. This review provides scholars, policymakers, and industry leaders with a comprehensive understanding of AI’s evolving role in economic development and outlines future research directions to bridge current knowledge gaps.

Data requirements for a systematic analysis of urban food flows and their sustainability outcomes

Data requirements for a systematic analysis of urban food flows and their sustainability outcomes

Understanding society: a reflexive foresight matrix for navigating complexity and shaping the future

Purpose This paper introduces the foresight matrix, a conceptual framework for foresight analysis rooted in critical realism (CR) and complexity theory. It aims to address the need for a comprehensive theoretical perspective that embraces emergence and recognizes the interplay between different layers of reality. Informed by critical theory within futures studies, the study seeks to provide additional foresight theoretical perspectives in addressing contemporary societal challenges and collectively shaping desirable futures. Design/methodology/approach The proposed reflexive foresight matrix incorporates elements of CR, complexity theory and morphogenesis theory, providing an alternative conceptual framework for analyzing complex social challenges. It integrates the vertical layers – empirical, actual and real – and horizontal dimensions – structure, agency and culture. This matrix guides researchers through a systematic analysis of structural barriers, cultural influences and individual agency, offering a comprehensive tool for understanding the underlying mechanisms driving social change. Findings The reflexive foresight matrix dissects complex situations into structure, agency and culture dimensions, enabling a thorough understanding of societal dynamics by examining the interplay between these dimensions and their influence on individual and collective behaviors. This conceptual framework guides researchers through a systematic analysis of structural barriers, cultural influences and individual agency, uncovering the mechanisms driving social change. Through reflexive monitoring and temporal action analysis, it explores historical and contextual factors, informing future tendencies. Practical implications The reflexive foresight matrix provides a multidimensional lens for understanding social issues, prompting researchers to consider the interplay between structure, agency and culture across different layers of reality. By exploring historical and contextual factors, this framework enables an insight into diverse perspectives and their impact on future outlooks. Furthermore, the matrix facilitates critical inquiry into prevailing power dynamics and narratives, offering insights into societal injustices and inequalities. This critical examination empowers stakeholders to challenge dominant narratives and work toward more equitable and desirable futures. Social implications The proposed reflexive foresight matrix offers a comprehensive approach to analyzing complex social challenges, potentially impacting futures thinking and foresight practices. By integrating CR, complexity theory and morphogenesis theory, the framework fosters a deep understanding of the interplay between various factors influencing future tendencies. This comprehensive view of problems allows analysts to consider structural barriers, cultural influences and agency, thereby enhancing foresight efforts in addressing contemporary challenges. Originality/value The proposed reflexive foresight matrix contributes to futures thinking and foresight practices by offering a comprehensive approach to analyzing complex social challenges. By combining CR, complexity theory and morphogenesis theory, the framework fosters an insightful understanding of the interplay between various factors influencing future trajectories. Moreover, the integration of critical perspectives and reflexive methodologies into foresight practices underscores the importance of challenging dominant narratives, fostering inclusive decision-making processes and empowering individuals and communities to shape their futures.