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This paper aims to examine the dynamic relationship between economic growth and sustainable development, integrating the Environmental Kuznets Curve (EKC) in 22 Organization of Islamic Cooperation (OIC) member countries across income groups.

Using annual data between 1990 and 2022, the authors apply the cross-correlation coefficient (CCC) approach of Narayan et al. (Economic Modeling, 2016, 53, 388–397) to examine the lead/lag relationship between GDP per capita and sustainable development. This study further validates the findings through a panel Granger causality test and a fixed panel regression model.

This research provides evidence of a U-shaped EKC for only 1 out of 22 (5%) OIC countries. For 13 out of the 22 (59%) OIC countries, increasing income growth is expected to enhance sustainable development in the future. The results show that as income levels rise, there will be a more significant decline in sustainable development for high-income OIC countries in the future than for both middle-income groups, contradicting the EKC hypothesis. The findings from the panel Granger causality and panel regression models also support the CCC results.

This study proposes a reverse version of the EKC hypothesis and contributes to the literature on economic growth and environmental sustainability. With increasing economic growth, the results can assist OIC member governments and policy-makers in designing tailored policies and practical measures for future sustainable development.

Architectural programming, as a critical phase in construction projects, has been widely recognized for its importance and advantages throughout the construction process. With the rapid development of the socioeconomic landscape, architectural programming has garnered increasing attention from various other disciplines, becoming a key trend in interdisciplinary collaboration. This study aims to provide a comprehensive understanding of the current status and future directions of architectural programming from an interdisciplinary perspective through scientometric analysis and systematic review.

This study first collected English journal articles on architectural programming published between 1975 and 2024 from the Web of Science and Scopus databases. After an initial screening of titles and abstracts, 515 articles were selected for scientometric analysis to reveal the current state and advantages of architectural programming research in multidisciplinary fields. Subsequently, a second screening of full-text articles identified 75 journal articles for systematic review, focusing on research topics and challenges in interdisciplinary applications.

The study reveals an exponential increase in the number of papers related to architectural programming between 1975 and 2024, particularly in the last decade. Six key research topics of architectural programming in multidisciplinary fields were identified: (1) performance optimization and evaluation, (2) digitalization and automation development, (3) project management and decision support, (4) improvement of human and social welfare, (5) sustainable resources and environment and (6) educational practices of architectural programming. Additionally, the study identified the main challenges in the interdisciplinary application of architectural programming, including (1) incompatibility among disciplines, (2) limitations of data and methodologies and (3) insufficient social engagement. To address these challenges, three potential future directions were proposed: (1) establishing interdisciplinary teams and platforms, (2) enhancing multi-source data integration and digital transformation and (3) improving governance mechanisms and educational training.

By combining quantitative and qualitative methods, this study provides a comprehensive review of architectural programming research and applications in multidisciplinary fields, offering theoretical foundations and practical references for the future development of architectural programming. This review not only aids in understanding the overall status of current architectural programming research but also offers valuable insights and recommendations for future research directions and practical applications.

The purpose of this study is to determine research areas that are most favorable in supporting the development and manufacturing of electric vehicle (EV) components locally in Indonesia for 2025–2035. Therefore, will provide direction for the formulation of the related government policies and programs. Consequently, an EV technology research priority must be identified.

A technology foresight (TF) procedure which consists of a STEEPV analysis, followed by scenarios development and expert elicitation techniques, was conducted to determine an EV technology research priority that may direct future specific local component innovations, and therefore businesses.

The results of this study indicate that research in a range of EV battery technologies, technologies relating to a variety of key components (to increase local content) and autonomous systems were important to support the local development and manufacturing of EV components in Indonesia.

In this study, the scenarios development process was conducted based on selected available experts, mostly internally from BRIN. Some biased opinions may be present.

There have not been any TF studies regarding the development of EV technology research priority in Indonesia.

Although the significance of technological progress in economic development is well-established in theory and policy, it has remained challenging to agree upon shared priorities for strategies and policies. This paper aims to develop a model of how policymakers can develop effective and easy to communicate strategies for science, technology and economic development.

By integrating insights from economic complexity, competitiveness and foresight literature, a replicable research framework for analysing the opportunities and challenges of technological revolutions for small catching-up countries is developed. The authors highlight key lessons from piloting this framework for informing the strategy and policies for bioeconomy in Estonia towards 2030–2050.

The integration of economic complexity research with traditional foresight methods establishes a solid analytical basis for a data-driven analysis of the opportunities for industrial upgrading. The increase in the importance of regional alliances in the global economy calls for further advancement of the analytical toolbox. Integration of complexity, global value chains and export potential assessment approaches offers valuable direction for further research, as it enables discussion of the opportunities of moving towards more knowledge-intensive economic activities along with the opportunities for winning international market share.

The research merges insights from the economic complexity, competitiveness and foresight literature in a novel way and illustrates the applicability and priority-setting in a real-life setting.

This study adds to the existing body of knowledge on the benefits to learners of using an interdisciplinary design thinking (DT) pedagogical approach taking the form of a micro credential with an extra curricula workshop.

The interpretivist research examined opinion via nine semi-structured interviews with learners who had participated in a workshop. The interviews focussed on demographic information, learning strategies, workshop interdisciplinary benefits and being taught via DT. The recorded interviews and transcriptions were analysed via NVivo and content analysis.

The results are themed into development opportunities, future learning, making meaning and sense and practical application of knowledge and skills reflection for the students. The DT pedagogy worked well for the students who confirmed university learning should be this way, adding to the debate on embedding engaging interdisciplinary methods to embed entrepreneurship and innovation in the curriculum.

The research is original as the use of DT has added value to the students' development and mindset. Developing graduates this way benefits the local and national economy, as the reach of graduates' transferability makes them fit for the future.

This study aims to provide an overview of the development of tourism information technology from a macro perspective of the chronological lineage of tourism and information technology from its origins to the present. This study also explores the progression of tourism information technology, its implications and its future directions based on a macro environmental analysis framework comprising political, economic, social, technological, environmental and legal perspectives.

This study serves as a valuable connection between theoretical knowledge and practical application, combining the experiences of academic researchers and industry practitioners to thoroughly examine the progress and developments in tourism information technology. This research also identifies critical points in the domain to provide a unified and comprehensive explanation that aligns with the current research findings.

This research reveals the continuous timeline of tourism and information technology development. It discusses the origins, progress and interactions of tourism and information technology, revealing the structural political, economic, social, technological, environmental and legal drivers of tourism information technology. This paper also presents suggestions for future agendas on the basis of a compendium and outlook of influences and implications for the domain.

Findings of this study set the foundation for a comprehensive analysis of the transformative influence of information technology on tourism and provide a contextual framework and insightful future agenda guide for subsequent academic and industry exploration and analysis of tourism information technology.

本文从宏观视角回顾了旅游信息技术从起源至今的发展历程。研究基于政治、经济、社会、技术、环境和法律 维度的综合环境分析框架, 探讨了旅游信息技术的发展、影响和未来方向。

本研究构建了理论知识和实际应用之间的重要纽带, 结合学术研究人员和行业从业者的经验, 深入审视了旅游信息技术的进展和发展。它还确定了该领域的关键要点, 以提供一个与现有研究成果相互呼应的统一且全面的解释。

这项研究揭示了旅游和信息技术发展的连续时间线进程, 讨论了旅游和信息技术的起源、进展和互动, 揭示了政治、经济、社会、技术、环境和法律驱动因素对旅游信息技术的结构性影响。本文还在对该领域的影响和启示进行梳理和展望的基础上, 提出了关于未来议程的建议。

本研究的结果为全面分析信息技术对旅游的变革性影响奠定了基础, 并为学界和业界后续对旅游信息技术的探索和分析提供了背景框架和具有洞察力的未来议程指南。

Esta investigación ofrece una visión general del desarrollo de la tecnología de la información turística desde una perspectiva macro de la evolución cronológica del turismo y la tecnología de la información desde sus orígenes hasta la actualidad. Explora el progreso de la tecnología de la información turística, sus implicaciones y sus futuras direcciones basándose en un marco de análisis macroambiental que comprende perspectivas políticas, económicas, sociales, tecnológicas, medioambientales y legales.

Este estudio conecta el conocimiento teórico y la aplicación práctica combinando las experiencias de investigadores académicos y profesionales del sector, para examinar a fondo los avances y la evolución de la tecnología de la información turística. Asimismo, identifica los puntos críticos del ámbito de estudio para ofrecer una explicación unificada y exhaustiva que se ajuste a los resultados de la investigación actual.

Esta investigación revela la continua evolución cronológica del desarrollo del turismo y la tecnología de la información. Analiza los orígenes, el progreso y las interacciones del turismo y la tecnología de la información, revelando los motores estructurales políticos, económicos, sociales, tecnológicos, medioambientales y jurídicos de la tecnología de la información turística. También presenta sugerencias para agendas de investigación a partir de un compendio y una perspectiva de las influencias e implicaciones en este ámbito.

Las conclusiones de este estudio sientan las bases para un análisis exhaustivo de la influencia transformadora de la tecnología de la información en el turismo y proporcionan un marco contextual y una esclarecedora guía de agenda de investigación para la posterior exploración y análisis académico e industrial de la tecnología de la información en el turismo.

Amazon Explore is a new online experience product from Amazon, which offers live stream sightseeing of destinations around the world. This paper aims to provide a first insight into how exactly Amazon Explore enters the virtual experience (VE) industry, and discuss the possible implications of its business model for the future of virtual and offline travel experiences.

Qualitative and quantitative methods of content analysis methods were employed in this study. The sample of this research consisted of 175 Amazon Explore products. Firstly, the authors analysed the content of each product, and then quantitative method were used to present the data. With this analysis, the authors presented how Amazon Explore is testing the foundations for new business models, and discuss the possible implications for the future of tourism. One year later, those same Amazon Explore products were reviewed again to check development progress. The following were the main questions regarding VE: How interactive are Amazon Explore products? How does Amazon Explore aim to ensure the monetisation of these products in an economically sustainable way in order to go beyond the “freemium” business model, often associated with VE as just another destination marketing tool?

This article presents the discussions of VE and virtual reality (VR). The authors determined the level of interactivity of the diverse VE offered themes with a model of four levels of interactivity. The results show that the analysed products achieve mostly only low levels of interaction. Regarding monetisation, Amazon Explore shows three possible future directions in the development of VE: as a marketing tool, as an extension of the offline experience and as potentially someday replacing real travel as part of the future monetisation scenario.

The article offers the first insights into Amazon's extension into the realm of VE in two time periods in 2020 and 2021, and, based on these preliminary results, discusses four possible scenarios for the future development of VE monetisation.

This paper aims to explore the current stage of biodiversity preservation in higher education institutions (HEIs), using samples from German universities and investigating three different dimensions, namely, existing approaches, challenges and future developments.

Semistructured expert interviews were conducted with employees from 14 German Universities. To analyze the data, both deductive and inductive methods of content analysis were conducted to systematically code the results.

This research shows that efforts for biodiversity preservation are frequently made in the areas of student and staff initiatives, green space management, as well as in research and teaching. However, German HEIs face numerous hurdles such as interest conflict, lack of prioritization and financial restrictions, some of which are difficult to overcome. In the future, HEIs should seek a deeper integration of biodiversity into curricula to further raise biodiversity awareness.

This study provides practical implications by providing good practices, which can serve as a guide for implementing measures for biodiversity preservation. By understanding the struggles and future expectations, stakeholders and policymakers could promote targeted measures and relevant policies to advance biodiversity initiatives at and beyond universities. Moreover, the research shows the importance of involving students and staff actively in the planning and executing stage for biodiversity preservation through initiatives to achieve green campuses.

The paper presents an essential research field which is still in its earlier stage. To the best of the authors’ knowledge, it is the first study that focuses on German Universities in this context. This study adds value in providing in-depth insights into this topic to raise awareness of biodiversity preservation in both practice and research.

This study identifies a methodology to explore the issues of enterprise innovation ecosystem health (EIEH).

First, this study constructs the indicator system of EIEH based on the research objective; second, the dynamic vertical projection method (DVPM) and entropy weight method are proposed to analyze the status and influencing factors of EIEH; finally, the future development of EIEH is analyzed using GM (1,1).

In terms of methodology, the DVPM can effectively analyze EIEH, which can not only analyze the development status and potential of EIEH every year but also analyze the comprehensive state of EIEH for many years. In terms of practice, the value and grade of EIEH in China have been gradually increasing from 2016 to 2020, but the overall development is unbalanced, and five key factors affecting EIEH have been identified. The EIEH in China is predicted to steadily grow from 2021 to 2025.

The analytical method employed in this study can effectively analyze EIEH, which provides a new analytical perspective for the evaluation of EIEH and enriches the research content of the enterprise innovation ecosystem (EIE). By analyzing the results, we can gain a comprehensive understanding of the state of different EIEs, enabling each EIE to design tailored remedial measures to enhance EIEH and achieve sustainable development.

The development of an effective corporate vision is a necessary issue for corporate performance, and it is a key issue for corporate sustainable development as well. The recognition of questions like “what is the role of corporate vision in corporate performance” is directly related to the attitude and practice of entrepreneurs and managers toward the development of corporate vision as well as the effectiveness of the corporate vision itself. To better answer the questions concerning the role of corporate vision development and effectively guide the practice of corporations, the authors study the pathways and mechanisms by which corporate visions operate to assist businesses in achieving high performance.

The article completes the construction of indicators to measure each dimension of the corporate vision in line with social cognitive theory and analyzes the relationship between corporate vision and corporate performance by combining qualitative comparative analysis (QCA) and necessary condition analysis (NCA) research methods. The article provides insights into the logic of constructing and adjusting corporate visions from a process perspective.

The mechanisms by which corporate visions can be articulated, accepted and transformed within the organization are also the means by which corporate visions can improve corporate performance. In a dynamic environment, the corporate vision setting and acceptance process integrates the requirements of various stakeholders, leading to the adjustment and acceptance of the corporate vision. As a result, the vision has continuous validity in a changing environment. Both start-ups and non-start-ups can benefit from the guidance provided by a strong corporate vision in overcoming a variety of issues and obstacles to produce strong business performance.

This is the first study that shows the relationship between corporate vision and corporate performance from a process perspective. The authors are interested in understanding which characteristics for building a corporate vision are more accepted by organizational members and, in turn, create high corporate performance. The authors also explore the conditions for corporate vision acceptance. This research has positive implications for shedding some light on the mechanisms by which corporate visions improve corporate performance.