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The paper aims to address a gap in foresight study and practice relating to the lack of unifying theoretical systems frameworks capable of examining empirical data from across a wide range of different ecological, social, political and economic systems. It attempts to develop a new “collective forward intelligence” that can not only make sense of these disparate trends and processes as symptoms of a wider planetary system but also, on this basis, construct accurate and plausible future scenarios to underpin national and international decision-making.

This study conducts a transdisciplinary integration of C. S. Holling’s adaptive cycle with phase-transition phenomena across biology, physics and chemistry, applied on societal and civilisational scales. A systems methodology is then applied to integrate historical and empirical data across the energy, food, transport, materials and information sectors of civilisation’s production system.

The paper develops planetary phase shift theory as a new collective forward intelligence framework for foresight study and practice, formalising the notion that humanity has arrived at an unprecedented historic and geological turning point. It finds that multiple global crises across both earth and human systems are symptoms of the last stages of the life-cycle of global industrialisation civilisation, which is the potential precursor either for collapse, or for a new civilisational life-cycle that may represent a new stage in the biological and cultural evolution of the human species.

The research sets out a new empirically grounded theoretical framework for complex scenario analysis. This can develop more robust approaches to foresight study and practice, scenario development and forecasting. It suggests the need for a new research programme to understand the dynamics of the planetary phase shift and its diverse implications for societies, industry, technology and politics. The research is limited in that the current paper does not explore how it can be applied in this way. It identifies broad scenarios for a post-industrial civilisational life-cycle but does not identify the variety of complex subsets of these.

The paper provides powerful practical implications to develop new methodology based on planetary phase shift theory for strategic planning, risk assessment and management, as well as public policy and decision-making.

The paper suggests the urgency and necessity of bold and radical societal transformation and implies key areas for civil society to focus on in innovating new values, worldviews and operating systems with a focus on the next life-cycle.

To the best of the author’s knowledge, this paper provides the first integrated transdisciplinary theoretical and empirical framework to understand how the interplay of earth system crises, societal change and technology disruptions is driving large-scale civilisational transformation with complex local ramifications.

The surging cost of living and shortage of affordable and sustainable homes fuel the global housing crisis. Earthship buildings are marketed as the epitome of affordable and sustainable alternative housing. This paper aimed to elicit the perception of Earthship buildings among youngsters in the United Kingdom using immersive virtual reality technology. Additionally, the impact of virtual reality on perception compared with two-dimensional drawings was investigated in the study.

A three-phase, experiment-based survey was adopted: Phase 1: literature review, Earthship house model conception and the virtual environment creation; Phase 2: two-dimensional drawing-based pre-visualisation survey; Phase 3: virtual reality–based post-visualisation survey.

The findings indicated that youngsters had a remarkable, positive change in attitude towards the uptake of the Earthship houses after virtual reality visualisation. In contrast, sustainability experts shared more concerns regarding the concept's viability in the United Kingdom, even after the virtual reality visualisation. However, both youngsters and experts agreed with the pre-eminence of virtual reality over two-dimensional drawings.

The lack of awareness about Earthship buildings for posterity was noted in previous studies, which could be attributed to there being very few Earthship buildings in the United Kingdom. The importance of this awareness among youngsters cannot be over-emphasised since youngsters are affected most by the shortage of affordable and sustainable homes. This gap was addressed by enlightening the youth about Earthship houses and imparting awareness through near-real-life virtual reality visualisation.

Since the idea of “Unethical Pro-organisational Behaviour” (UPB) was introduced in 2010, a substantial corpus of empirical research has contributed to its expanding, contemporary knowledge. This includes research studies on how leadership exerts an influence on UPB. This paper aims to consolidate the current understanding of organisational leadership’s impact on employee UPB and offer future research agendas.

A systematic literature review (SLR) using the “Preferred Reporting Items for Systematic Reviews and Meta-Analyses” (PRISMA) guidelines was adopted for the study. Literature that satisfied the search conditions was examined. The factors determining leadership’s influence on UPB were studied, and the findings were thematically synthesised.

Leader behaviour plays a large part in influencing UPB in organisations. Leader-member exchange and organisational belonging create favourable circumstances for UPB in organisations. UPB is moderated by the employee’s personal moral orientation.

UPB is unethical behaviour that benefits the organisation and is likely to be rewarded. However, there is a cost that other stakeholders pay. UPB has been researched since 2010, as well as the role of leaders in perpetuating UPB. However, there has not been an SLR of this study. This paper seeks to capture the essence of the research so far and pave a path for future research on the subject. These insights would prove valuable to management practitioners and academic experts.

Housing is one of the basic necessities of humankind for survival and purchasing a home is often a substantial milestone. Individuals exhibit complex behaviour influenced by various factors while making decisions related to the purchase of residential properties. While most of the earlier studies have focused on understanding the purchasing behaviour of home buyers’ in developed countries, the research is limited on this topic in developing countries such as India. The booming information technology industry has rapidly increased the demand for residential properties among the migrant population in Bengaluru, India’s largest technology hub. Real estate developers strive to meet the requirements of prospective customers through innovative ways but face challenges in a competitive market.

It is essential to understand the factors influencing home buyers’ purchase attitudes for increasing property sales. However, a lack of research on this subject is identified in the emerging city of Bengaluru. This study aims to analyse the determinants of home buying decisions for potential investors in Bengaluru through structural equation modelling to provide insights for the real estate industry to construct houses as per their customers’ needs.

It was found that housing amenities, financial aspects, location conveniences and marketing services significantly influenced home buyers’ purchase decisions, whereas housing features do not.

The findings of this study offer valuable insights for governmental bodies to implement appropriate policies and for builders to design properties with features that cater to the target population, thereby promoting sustainable growth in the real estate industry.

This study aims to focuses on the paradox of the great resignation (GR), great layoff (GL) and moonlighting (ML) phenomena triggered by the unprecedented complexity, extreme emotional distress and uncertainty caused by the pandemic to explore ways for mitigating their impact on the intention to stay (ITS).

A systematic literature review was conducted to explore the impact of the paradoxical GR, layoffs and ML on the ITS by the text analysis of a pool of 111 published articles across 57 journals between 2012 and 2024 using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses approach. The factors impacting the ITS, and the underlying interlinkages of the paradoxical GR, GL and ML phenomena were subsequently inductively deduced using Nvivo software.

The new theoretical framework explains the evolving dynamics of the ITS and prompts toward a concurrent approach of viewing the paradoxical GR, layoffs and ML through a “common lens” revealing novel insights.

Employees have reprioritized work-life balance, mental health, multiple jobs for varied income streams, flexible work schedules and job satisfaction. Human resource managers should prioritize these aspects and adapt to the evolving workforce dynamics to create a resilient, employee-centric organizational environment where employees choose to stay.

To the best of the authors’ knowledge, this is the first study to concurrently examine the current paradox of the GR, layoffs and ML for enhancing the ITS, necessitating a re-evaluation of traditional perceptions of unemployment and job seeking.

The present study examined the psychometric properties of the EGame- flow scale in a Mexican sample, presenting evidence of construct validity (exploratory factor analysis and confirmatory factor analysis), reliability (Cronbach’s alpha and McDonald’s omega) and discriminant validity (mean variance extracted).

Participants: Of the 255 Mexican participants in the non-probabilistic sample who had previously interacted with the LOST logistics simulator, 166 (65%) were men and 89 (35%) were women; their ages ranged from 22 to 45. The statistical packages SPSS 25, JASP 0.16 and AMOS 23 facilitated the corresponding analyses. First, we calculated the means and standard deviations of the scale items. Next, we performed an exploratory factor analysis to examine the measurement model’s internal structure and a confirmatory factor analysis to confirm the structure proposed in the exploratory factor analysis. To analyze the internal structure of the measurement model so that the estimates were not affected by multivariate normality problems, we utilized the AMOS bootstrap method (with 500 repetitions, 95% CI), the maximum likelihood (MV) estimation method, and the fit indices: X2, p (chi-square and associated likelihood), Tucker–Lewis index (TLI), standardized statistical mean square residual (SRMR), comparative fit index (CFI) and root mean Square error approximation (RMSEA) with its confidence interval, the values of X2 with p < 0.001; TLI, CFI, AGFI = 0.95; RMSEA and SRMR = 0.08 (Byrne, 2016). Finally, we estimated the reliability of the measurement model with Cronbach’s alpha (a), McDonald’s omega (ω) coefficient and the mean variance extracted (VME).

An exploratory factor analysis with the MV method and obliminal rotation showed a good fit of the data to the model, which aligns with the significance of the Barlette sphericity test (X2 = 8443.2, p < 0.000) and the Kaiser–Meyer-Olkin (KMO) value of 0.94. The indices confirmed the fit of the data to the six-dimensional model for measuring the users' level of enjoyment of online games (X2 = 678.2 gl = 411, p = 0.000; SRMR = 0.05; TLI = 0.95, CFI = 0.95 and RMSEA = 0.05, IC 90% [0.04, 0.05]).

The self-reporting format of the scale increases the social desirability of the responses, but the sample only collects information from a specific geographic location, so these findings cannot extrapolate to populations with very marked cultural differences. Finally, the study did not measure other validity evidence, such as predictive and concurrent validity, which should be considered in future studies.

From a practical perspective, the study offers a measurement scale with fewer items and robust psychometric evidence that ensures the fit of the data to the EGame-flow measurement scale. Further research must continue to learn about the behavior of the EGame-flow scale in different samples that new evidence of psychometric properties continues to appear and that other factors associated with the users' gaming enjoyment experience are analyzed.

The value and originality of the study lie in the type of evidence of psychometric properties that the instrument has and particularly in the style of sample in which the study is carried out, in this case, in the context of Mexico, where there are not enough instruments that measure the flow experience of users.

This study aims to introduce a comprehensive internal framework designed to ensure the integrity of courses, programs, and assessments within the science faculty of a university.

This study utilized a case study methodology, using semi-structured interviews, document analysis and observations. Data from structured departmental and faculty meetings, student consultations, benchmarking reports and feedback loops informed the development and evaluation of the framework.

The framework’s implementation has resulted in student satisfaction exceeding 90%, reflecting positive feedback on the quality, diversity and fairness of assessments and teaching practices. Lecturer satisfaction exceeds 75%, driven by autonomy, professional development and adoption of reflective teaching strategies. Errors in assessments have decreased by 95%, highlighting the effectiveness of the standardized checklist and rigorous review processes. The faculty, along with its Examination Quality Assurance Committee, fosters a culture of shared governance for maintaining academic integrity and improving assessments. Program alignment with international standards has facilitated global partnerships. In addition, the framework reduces logistical inefficiencies and reliance on external examiners.

This study introduces an innovative internally structured framework as a viable alternative to the external examiner system, offering a replicable model for broader adoption.

This paper explores the intricate evolution of human–machine interaction within the framework of Society 5.0, highlighting how technological advancements influence human behavior and societal progress.

A multidimensional framework is developed through a qualitative approach to analyze the evolution of human–technology interaction. This innovative conceptual model provides a comprehensive understanding of these dynamics.

The proposed model unveils a significant shift from perceiving technology as a mere tool to acknowledging its profound influence on daily routines and potential enhancements. This revelation underscores the critical role of human-centric strategies, enlightening us about the evolving nature of technology.

The study synthesizes existing research to present a comprehensive framework for understanding human–machine interaction, providing insights that can inform future research and theory development.

This study equips policymakers, researchers and practitioners with actionable strategies to enhance technology use. By incorporating human-centric approaches, addressing issues such as technostress and promoting effective digital knowledge management, this research empowers the audience with practical solutions.

The paper underscores the broader impact of technology on societal progress. It emphasizes the importance of incorporating human-centric strategies in technology implementation to promote fairness, inclusivity and overall societal well-being.

This paper introduces an innovative conceptual model based on a multidimensional framework to analyze the complex evolution of human–technology interaction. It enriches the ongoing debate by highlighting the nuanced relationship between humans and technology, addressing significant gaps in existing literature and offering an original interpretative perspective.

This study explores how companies’ operations and supply networks can induce social impacts such as enhancing diversity, equity and inclusion (DEI). The study focuses on social enterprises’ supply networks and examines the effects of supply network characteristics on the creation and resolution of social–commercial objectives tension.

A supply network that is divided into five embedded cases, where each case is the supply network of a social enterprise, was studied. Forty-eight interviews at social enterprises, corporate customers, distributors, suppliers, non-governmental organizations and charities were conducted.

The study highlights how social enterprises use their supply networks to help disadvantaged people gain employment, truly balance DEI and efficiency objectives and manage paradoxical tensions. The results reveal three types of social purpose supply networks, dichotomized, paired and blended, that hybrid and for-profit organizations can adopt to jointly pursue multiple, potentially competing, objectives and resolve the paradoxical tensions in their supply networks. The creation and resolution of tension are also clarified by considering dyadic, triadic and tetradic tie structures.

The study contributes to the literature by extending the analysis of paradoxical tension between commercial and social welfare objectives such as DEI to the supply network level and revealing three social purpose supply network structures that depict social enterprises’ different ways to resolve paradoxical tensions. The study contributes to social network theory by describing the dynamic interaction between strong and weak ties in multi-tie structures.

This study aims to explore the collective influence of several factors, namely, thermal radiation, Brownian motion, magnetic field and variable viscosity parameter, on the boundary layer flow, heat and mass transfer of an electrically steering nanofluid over a radially stretching exterior subjected to convective heating. In addition, the impacts of thermal and solutal buoyancy forces and activation energy are taken into account. The enlarging velocity is assumed to vary linearly with radial distance.

Through the similarity transformation technique, the governing highly nonlinear partial differential equations are transformed into a set of nonlinear ordinary differential equations, which are then numerically solved using the Runge–Kutta–Fehlberg method with a shooting technique.

Graphical depictions are provided to analyze the velocity, temperature and nanoparticle concentration fields under the influence of various pertinent parameters. Furthermore, local skin friction, local Nusselt and Sherwood numbers are quantitatively presented and discussed. A comparison with previous results demonstrates good agreement.

This study uniquely integrates multiple factors influencing boundary layer flow in electrically conducting nanofluids, offering a nuanced understanding of heat and mass transfer over radially stretching surfaces. By using advanced numerical methods, it provides valuable insights and quantitative data that can inform practical applications in engineering and materials science.