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Research and Development (R&D) plays a significant role in promoting social and economic development in cities. In urban planning practice, a lack of evidence-informed policies and misguided research efforts can undermine national and local development efforts. This research aims to outline the state of academic research in urban planning and propose a tentative urban planning research agenda in Jordan. Specifically, the study identifies emerging research areas within postgraduate urban planning research in Jordan, examines the extent to which current research activities align with national research priorities, and determines research areas of top priority for Jordanian cities.

The research employs a mixed-method approach using content analysis to analyze academic urban planning research in Jordan and the Delphi method targeting Jordanian urban planning experts to identify research areas that should be prioritized in Jordan within the next five years.

The findings indicate that while urban design and housing, neighborhoods, and community development were the dominant fields of study in postgraduate urban planning research, planning experts identified transportation and land use planning as research areas of top priority for the next five years. The results also suggest that national research priorities lack specificity and offer little guidance for researchers in complex and multifaceted scientific disciplines, such as urban planning.

This research lays the foundations for developing a comprehensive and feasible urban planning research agenda that is responsive to the diverse needs of communities and cities across Jordan. It offers three propositions to guide future knowledge production in urban planning: emphasizing research activity in priority areas, decentralizing research activities, and fostering inter/transdisciplinary research linkages. To the best of the author's knowledge, this study is the first to propose an urban planning research agenda in Jordan.

The purpose of this study is to investigate the influence of design for lean six sigma (DFLSS) on operational functions of the innovation management model by appraising an innovation management assessment framework.

An empirical approach for evaluating causal relationships among various constructs in the model phases that identify optimum pathways in achieving commercial success was adopted. A quantitative analysis of survey data were collected from large, medium and small organiations, including incubators in ANZ (Australia, New Zealand) and TMSV (Thailand, Malaysia, Sri Lanka and Vietnam).

The structural equation modelling recursive path analysis results of the model provide empirical evidence and pathways through the various constructs considered in the model. All these pathways lead to delivering optimum commercialization success (CS). Furthermore, DFLSS is confirmed as an enabler and has direct one-to-one and indirect influence on all the operational function constructs of the model including commercial success.

This study had a relatively small sample size of completed responses obtained from the population and a constrained ability to compare commercialization success (CS) between the two regions in the dataset. Future studies could be conducted on a global scale to increase responses.

The research findings enabled the development of important and practical guidelines for managers and innovation practitioners engaged in planning and management of innovation.

This research offers a holistic approach for integrating DFLSS with stage gate phases of innovation management assessment framework, supported by empirical evidence, to aid organizations in effectively managing the innovation process and achieving greater success in commercialization.

The purpose of this study is to investigate the factors facilitating and influencing the adoption of DevOps practices specifically tailored to mobile software development, with a focus on understanding the influence of mobile-specific requirements on DevOps integration.

The study employs a qualitative methodology, including a literature review, exploratory case research and partial quantitative assessments through DORA metrics and survey applications. This approach, guided by the Technology-Organization-Environment (TOE) framework, prioritizes in-depth insights into the adoption of DevOps practices and explores strategies for integrating DevOps in mobile software development.

The research identifies several key themes specific to Mobile DevOps adoption, including tool integration issues, testing complexities, deployment challenges and security concerns. These findings underscore the necessity for tailored DevOps solutions that can effectively address the unique demands of mobile software development. The study also proposes actionable strategies to overcome these challenges, thereby enhancing the efficiency, quality and security of mobile applications.

The insights gained from this study provide valuable guidance for practitioners in the mobile software development sector. By understanding and addressing the specific challenges of Mobile DevOps, organizations can improve their DevOps practices and achieve better outcomes in terms of project delivery speed, quality and security. For example, implementing robust testing strategies, investing in compatible tools and developing well-defined rollback procedures can significantly enhance Mobile DevOps effectiveness. Furthermore, incorporating continuous security measures and improving cross-functional collaboration can lead to more secure and efficient mobile application deployments.

This study offers valuable starting points for researching Mobile DevOps in real-world settings, based on insights from practical DevOps implementations in a single-case organization. Organizations can use this information to compare their own DevOps approaches with those of the studied organization, and can facilitate self-assessment and improvement.

This study contributes to the limited literature on Mobile DevOps adoption and proposing actionable strategies. By incorporating the TOE framework, it provides a comprehensive guide that enhances understanding and management of DevOps practices throughout the mobile application development lifecycle and offers significant value to practitioners and researchers alike.

This paper aims to identify key factors influencing the development of advanced manufacturing clusters and propose governance pathways for their digital innovation ecosystems.

A quantitative analysis of the Tai-Xin Integrated Economic Zone in China is conducted using data collected through a questionnaire survey. An evaluation index for the development level of advanced manufacturing clusters is constructed, and a structural equation model is used to identify key influencing factors and governance pathways.

This paper reveals that factors such as industrial foundation, technological innovation capability, social institution environment and government policies have a significant positive impact on the development of digital innovation ecosystem in advanced manufacturing clusters. It constructs a governance model for the digital innovation ecosystem and proposes three major pathways: integration of heterogeneous innovation resources, enhancement of digital capabilities, and fostering digital collaborative governance. The crucial role of digital technology in improving data processing efficiency, optimizing resource allocation and promoting collaboration among entities is emphasized. These pathways can optimize resource allocation, boosting the competitiveness and innovation capacity of clusters.

By incorporating advanced manufacturing clusters into the digital innovation ecosystem framework, this paper enriches theoretical research on both fronts. It offers specific governance pathways and policy recommendations, providing valuable references and guidance for promoting the digital transformation and ecosystem construction of manufacturing clusters.

The purpose of this study is to examine the state of the literature on knowledge sharing in open source software (OSS) development communities by examining the existing research and identifying the knowledge gaps and opportunities that can inform areas for future research.

A systematic literature review was conducted of literature published between January 2011 and February 2023. A total of 24 papers were identified and reviewed.

The findings reveal that the literature on knowledge sharing in OSS development communities from developing countries are limited. Additionally, there exists a limited focus on the development of frameworks to support knowledge sharing in OSS communities. The transient nature of OSS development contributors’ results in knowledge loss; thus, knowledge retention needs further investigation.

This study only included papers whose titles, keywords or abstracts included the search keywords “knowledge sharing” and “Open Source Software”. While the keywords were carefully applied, when applying the search, it cannot be ruled that some relevant studies might have been missed. The study was also limited to conferences and journal papers published in English. Despite the limitations, the study provides a systematic review of knowledge sharing in OSS communities and presents findings that can be useful to researchers and practitioners interested in this area.

The study provides a systematic literature review of published papers and identifies themes and future research areas on knowledge sharing in OSS communities. Additionally, this review offers insights into future research avenues for theory, content and context on knowledge sharing in OSS development communities.

This study aims to investigate the contribution of higher education institutions (HEIs) to the sustainable development goals (SDGs) and propose strategies to cultivate a culture centred on the SDGs in HEIs.

The methodology used encompassed an integrative literature review, combining bibliographic analysis on how HEIs incorporate the SDGs into their practices, adopting a qualitative approach for the analysis and categorization of the results.

The multifaceted contributions of HEIs in promoting the SDGs stand out, through their roles in teaching, research, management and integration and communication between university and society.

While influencing policies at various levels, HEIs encounter challenges in the effective integration of SDGs into their strategies. This underscores the need for contextualized governance, understanding students’ perspectives on sustainability and active external collaboration in policy formulation.

There is an urgent need to integrate SDGs into academic programmes, emphasizing the importance of redesigning curricula, actively involving teachers, researchers and students, establishing partnerships and promoting research applied to SDGs.

The social relevance of the study lies in the emphasis on an SDG-centred culture, involving teaching, research, outreach, community engagement and governance practices.

The study’s uniqueness lies in identifying persistent challenges during the transition to an SDG-centred culture, necessitating multisectoral collaboration and educational programmes that integrate sustainability principles into the strategy of HEIs.

This paper aims to provide a reference for the development of digital transformation from the perspective of manufacturing process links.

This paper applies canonical correlation analysis based on digital technology patents in the key links of manufacturing industries (product design, procurement, product manufacturing, warehousing and transportation, and wholesale and retail) and the related indicators of economic benefits of regions in China.

(1) The degree of digitalization of manufacturing process links is significantly correlated with economic benefits. (2) The improvement of the degree of digitalization in the “product design” link, the “warehousing and transportation” link, the “product manufacturing” link and the “wholesale and retail” link has significant impacts on the economic benefits of manufacturing industry. (3) The digital degree of the “procurement” link has no obvious influence on the economic benefits of manufacturing industry.

The research results can provide reference for the formulation and implementation of micro policies. The strategy of improving the level of digital transformation of key links of manufacturing industry is put forward to better promote both the digital transformation of manufacturing industry and economic development.

This paper innovatively studies the relationship between digitalization of manufacturing process links and economic benefits. The findings can provide theoretical and empirical support for the digital transformation of China's manufacturing industry and high-quality development of economy.

University research institutes were established in Malaysian Universities to facilitate research activities that do not fit into discipline-oriented departments, including the multi- and inter-disciplinary research that goes beyond the single-disciplinary boundary. This paper aims to report on a case study of one university research institute established in Universiti Kebangsaan Malaysia (UKM), known as the institute for environment and development (LESTARI). LESTARI conducts multi-disciplinary research that emphasises research and capacity building on issues related to sustainable development. The aims of this paper are to examine the research evolution undergone at LESTARI, and to ascertain its contribution towards sustainable development goals (SDGs).

LESTARI was established two years after the Rio Conference held in 1992, with the aims of promoting sustainable development through research and capacity building. This paper uses a qualitative approach to evaluate the research evolution of LESTARI, and a quantitative analysis to ascertain LESTARI’s contribution to SDGs.

After almost 30 years of establishment, LESTARI has moved from multi-disciplinary research to inter-disciplinary research. Although the transition was based on respective research areas (e.g. chemicals management and geopark), the research maturity of LESTARI is shown in its transformation from conventional to translational research. LESTARI has proven its capability to conduct multi-disciplinary and inter-disciplinary research, and the research outputs are also contributing to the SDGs.

The LESTARI case study has shown that as long as a research institute has a firm and clear research direction, regardless of how it is evaluated and monitored (e.g. evaluated by SDGs), the research institute remains relevant in the context of its establishment.

The findings from this paper serve to set LESTARI as an example for other university research institutes, whether in Malaysia or in other countries.

To the best of the authors’ knowledge, this contribution is the first that discusses the transition from multi-disciplinary research to inter-disciplinary research, as well as the contribution to SDGs, among university research institutes in Malaysia.

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.

The global COVID-19 epidemic has posed significant challenges to the development of innovation and entrepreneurship education in Chinese and foreign universities, and the application of artificial intelligence generated content (AIGC) technology has presented both opportunities and challenges to its development. The purpose of this study is to summarize advanced experiences and models of new engineering innovation and entrepreneurship education development in Chinese and foreign universities, as well as to analyze the influencing factors. Taking the sustainable development goals (SDGs) into account, this study qualitatively proposes enhancement paths and improvement suggestions based on the application of AIGC technology, providing a reference for promoting the sustainable development (SD) of innovation and entrepreneurship education in Chinese universities.

By using the qualitative comparative analysis (QCA), this paper studies the interaction mechanism between the influencing factors of innovation and entrepreneurship in universities under the background of SDGs. This paper selects 12 representative universities with different cultures and strengths. Meanwhile, this paper analyzes the content of 2,535 publications on innovation and entrepreneurship education and summarizes seven influencing factors as comparison criteria. Then, this paper codes, summarizes and uses configuration to assess the primary factors influencing the development of innovation and entrepreneurship in colleges and universities at home and abroad.

On the quality of new engineering innovation and entrepreneurship education, comprehensive, diverse influencing factors and upgrading paths are obtained. Furthermore, this research proposes that the SD of innovation and entrepreneurship education in universities should make effective use of “AI plus education” and actively construct practical and teaching platforms. Meanwhile, the ChatGPT is being used to strengthen the innovation and entrepreneurship curricular system and talent training mode. The research also makes recommendations for improving teachers’ ability to acquire intelligent tools and promotes three-way teaching modalities of “teacher-AI-student” by taking into account the influence of various aspects.

This research uses the QCA research method, which analyzes not only influencing factors on the SD of innovation and entrepreneurship education but also explores the interaction mechanisms among factors. Furthermore, the research incorporates SDGs and AIGC technology application scenarios into the field of domestic innovation and entrepreneurship education, which will be helpful in SDGs of innovation and entrepreneurship education on both theoretical and practical levels.