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This study in Iran examined the role of internal and external psychological factors that affected green purchase intention. Moreover, it examined these variables' direct and indirect effects and green purchase intention on green purchase behavior.

An extended version of the theory of planned behavior (TPB) was employed, based on which a theoretical model was designed to reach the authors’ aim. An online questionnaire was used to collect data. For data analysis, confirmatory factor analysis, structural equation modeling, the bootstrapping method and the Preschool Language Scale (PLS) product-indicator approach were conducted to test the proposed conceptual model.

Results show that self-identity, self-interest, self-efficacy and a growth mindset have a positive impact on green purchase intention. However, the study found no predictive effect from peer influence and warm glow. In addition, self-efficacy and green purchase intention significantly affect green purchase behavior. The study reveals that green purchase intention substantially mediates the relationship between self-interest, growth mindset, warm glow and green purchase behavior. Further, warm glow moderates the impact of peer influence, self-identity and self-efficacy on green purchase intention. This study emphasizes the critical role of dispositional factors on green purchase intention and behavior.

Few studies consider the effect of the individual self, a growth mindset, a warm glow and peer influence on green purchase intention simultaneously. In addition, the authors introduced a different version of the TPB model. Further, this research also conducted how these variables, directly and indirectly, affect green purchase behavior.

The purpose of this paper is to explore the importance of personalisation in the relationship between the architectural design of homes and inhabitants’ psychological well-being.

This interdisciplinary mixed-method study first investigates the existence of a link between personalisation and users’ association with home through a quantitative study (n = 101) and then explores the nature of this relationship through qualitative interviews (n = 13) in a sequential explanatory approach.

The main findings of the study highlight the significance of personalisation in relation to the way people perceive home. A direct link was established between participants’ involvement in the transformation of the home and their satisfaction with the residence, as well as satisfaction with life in general. Further thematic analysis of the qualitative study revealed further conceptualisations of personalisation, which together form an umbrella concept called transformability.

The findings underscore the need for embedding flexibility as an architectural concept in the design of residential buildings for improving the well-being of occupants.

The design of homes has a great impact on inhabitants’ psychological well-being. This is becoming of greater importance in light of the global COVID-19 pandemic that has led to an increase in the amount of time spent in homes. This research contributes to this debate by proposing concepts for a deeper understanding of architectural influences on the psychology of the home.

This study aims to explore supply chain resilience (SCR) and provides a unique resilience index. The work measures the resilience status of 37 organizations across 22 industries and provides insight into accessing the supply chain (SC) vulnerability in an uncertain environment.

This study involves measuring the resilience status of 37 organizations across 22 industries based on a subjective decision-making approach using fuzzy logic. Experts from industries rated the importance and level of implementation of 33 attributes of SCR, which are used to develop a fuzzy index of implementation that explains the resilience status of organizations.

A novel coexistent resilience index is computed based on mutualism to exhibit the proportion of contribution or learning of each attribute of an organization in an industry. The research will enhance the response plans and formation of strategic alliances for mutual coexistence by industry.

Evidence-based interpretations and suggestions are provided for each industry to enhance resilience through coexistence.

The work uniquely contributes to academic literature and SC strategy. The novel coexistent resilience index is computed based on mutualism, facilitating researchers to access SC resiliency.

Following the remarkable debut of ChatGPT and its rapid adoption by a global audience since its launch in November 2022, this study delves into educators' perceptions of ChatGPT within the specialized domains of tourism and hospitality education. While acknowledging ChatGPT’s swift rise and advanced capabilities, this research aims to comprehensively explore educators' perspectives, advantages and concerns regarding its integration into academic settings.

A qualitative approach was utilized to reveal dominant themes from in-depth, semi-structured face-to-face interviews with twenty lecturers in tourism faculties in North Cyprus. Collected responses from respondents were subjected to analysis using Leximancer software.

Our analysis unearthed seven significant themes encapsulating educators' perceptions of ChatGPT: 1 – “reliability and accuracy concerns”; 2 – “dependency”; 3 – “student engagement”; 4 – “ethical considerations”; 5 – “time efficiency and productivity”; 6 – “teacher-student interaction” and 7 – “learning flexibility”. Noteworthy positive perceptions emerged regarding “student engagement,” “time efficiency and productivity,” and “learning flexibility.”

This study contributes to the originality of research by addressing the underexplored aspect of educators' perceptions of ChatGPT within the domains of tourism and hospitality education, shedding light on its potential implications, advantages and drawbacks in a specialized educational context. Furthermore, it aims to offer insights into educators' recommendations for the effective incorporation of ChatGPT technologies into this specific educational setting, filling a crucial gap in understanding the integration of artificial intelligence (AI) in specialized fields of study.

This bibliometric mapping study aimed to provide comprehensive insights into the global research landscape of cybernetics. Utilizing the biblioshiny function in R Studio, we conducted an analysis spanning 1958 to 2023, sourcing data from Scopus. This research focuses on key terms such as cybernetics, cybernetics systems, complex adaptive systems, viable system models (VSM), agent-based modeling, feedback loops and complexity systems.

The analysis leveraged R Studio’s biblioshiny function to perform bibliometric mapping. Keyword searches were conducted within titles, abstracts and keywords, targeting terms central to cybernetics. The timespan, 1958–2023, provides a comprehensive overview of the evolution of cybernetics-related literature. The data were extracted from Scopus to ensure a robust and widely recognized source.

The results revealed a rich and interconnected global research network in cybernetics. The word cloud analysis highlights prominent terms such as “agent-based modeling,” “complex adaptive systems,” “feedback loop,” “viable system model” and “cybernetics.” Notably, the journal Kybernetes has emerged as a focal point, with significant citations, solidifying its position as a key source within the cybernetics research domain. The bibliometric map provides visual clarity regarding the relationships between various concepts and their evolution over time.

This study contributes original insights by employing advanced bibliometric techniques in R Studio to map the cybernetics research landscape. The comprehensive analysis sheds light on the evolution of key concepts and the global collaborative networks shaping cybernetics research. The identification of influential sources, such as Kybernetes, adds value to researchers seeking to navigate and contribute to the dynamic field of cybernetics. Furthermore, this study highlights that cybernetics not only provides a useful framework for understanding and managing major economic shocks but also offers perspectives for understanding phenomena in various fields such as economics, medicine, environmental sciences and climate change.