Industry-academia Collaboration Research Articles

Investigating the relationship between academia and the information technology industry: a systematic literature review

This work aims to investigate the relationship between the information technology industry and academia from 2019 to 2023 through a Systematic Literature Review. The guidelines followed for conducting the SLR were established by Kitchenham and Charters (2007), through which it was possible to obtain a total of 34 primary studies. The results indicate that: (i) academia struggles to keep up with technological advancements due to the disparity between what is taught in the classroom and what is required by the industry; (ii) despite the challenges of keeping pace with technological advancements, academia is making efforts to address these issues through internal academic activities and industry-academia collaboration; (iii) there is a shortage of qualified workforce for the information technology market, particularly in terms of technical and interpersonal skills; and (iv) the job market has defined specific competencies for hiring in this field.

Experiences from conducting rapid reviews in collaboration with practitioners — Two industrial cases

Context:Evidence-based software engineering (EBSE) aims to improve research utilization in practice. It relies on systematic methods to identify, appraise, and synthesize existing research findings to answer questions of interest for practice. However, the lack of practitioners’ involvement in these studies’ design, execution, and reporting indicates a lack of appreciation for the need for knowledge exchange between researchers and practitioners. The resultant systematic literature studies often lack relevance for practice. Objective:This paper explores the use of Rapid Reviews (RRs), in fostering knowledge exchange between academia and industry. Through the lens of two case studies, we delve into the practical application and experience of conducting RRs. Methods:We analyzed the conduct of two rapid reviews by two different groups of researchers and practitioners. We collected data through interviews, and the documents produced during the review (like review protocols, search results, and presentations). The interviews were analyzed using thematic analysis. Results:We report how the two groups of researchers and practitioners performed the rapid reviews. We observed some benefits, like promoting dialogue and paving the way for future collaborations. We also found that practitioners entrusted the researchers to develop and follow a rigorous approach and were more interested in the applicability of the findings in their context. The problems investigated in these two cases were relevant but not the most immediate ones. Therefore, rapidness was not a priority for the practitioners. Conclusion:The study illustrates that rapid reviews can support researcher-practitioner communication and industry-academia collaboration. Furthermore, the recommendations based on the experiences from the two cases complement the detailed guidelines researchers and practitioners may follow to increase interaction and knowledge exchange.

An investigation of social media labeling decisions preceding the 2020 U.S. election.

Since it is difficult to determine whether social media content moderators have assessed particular content, it is hard to evaluate the consistency of their decisions within platforms. We study a dataset of 1,035 posts on Facebook and Twitter to investigate this question. The posts in our sample made 78 misleading claims related to the U.S. 2020 presidential election. These posts were identified by the Election Integrity Partnership, a coalition of civil society groups, and sent to the relevant platforms, where employees confirmed receipt. The platforms labeled some (but not all) of these posts as misleading. For 69% of the misleading claims, Facebook consistently labeled each post that included one of those claims-either always or never adding a label. It inconsistently labeled the remaining 31% of misleading claims. The findings for Twitter are nearly identical: 70% of the claims were labeled consistently, and 30% inconsistently. We investigated these inconsistencies and found that based on publicly available information, most of the platforms' decisions were arbitrary. However, in about a third of the cases we found plausible reasons that could explain the inconsistent labeling, although these reasons may not be aligned with the platforms' stated policies. Our strongest finding is that Twitter was more likely to label posts from verified users, and less likely to label identical content from non-verified users. This study demonstrates how academic-industry collaborations can provide insights into typically opaque content moderation practices.

Charting the Unseen: Transformative Approaches in Time Series Forecasting in Real World Domains

This paper addresses the growing complexity of forecasting in an era where data volumes are expected to reach 180 zettabytes by 2025. It aims to bridge the gap between the theoretical aspects of time series analysis and their practical applications in fields like finance, healthcare, and environmental studies. The research covers foundational concepts such as Autocorrelation and White Noise and spans various methodologies from traditional models like ARIMA to advanced techniques involving machine learning. Special attention is given to the challenges of applying these theories to real-world, often irregular or incomplete data. The paper also explores the integration of technologies like AI in forecasting, emphasizing the need for robust and interpretable models. Concluding with a call for greater academia-industry collaboration, it suggests new research directions for innovative, practical forecasting solutions in a data-intensive world.

Booting and Rebooting Academia–Industry Collaborations Within Software Engineering Courses

Booting and Rebooting Academia–Industry Collaborations Within Software Engineering Courses

Assessing the contribution of semiconductors to the sustainable development goals (SDGs) from 2017 to 2022

Semiconductor development is a major driving force for global economic growth. However, synchronizing it with the Sustainable Development Goals (SDGs) set by the United Nations remains a critical challenge. To gain insight into this, we analyzed SDG-related publications on semiconductors from 2017 to 2022 using the SciVal database. The study found 77,706 documents related to SDGs in the field of semiconductor research, with an overall increase in the number of publications each year. The main focus of these publications was SDG 7 (Affordable and Clean Energy), accounting for 68.9 % of the total publication count. Additionally, the results indicate that semiconductors have multifaceted potential in advancing a range of SDGs. From fostering innovations in healthcare (SDG 3), ensuring clean water access (SDG 6), catalyzing transformative industrial growth (SDG 9), to contributing to climate mitigation strategies (SDG 13), semiconductors emerge as versatile drivers of sustainable development. The respective publication percentages for these goals were 7.3 %, 5.9 %, 9.7 %, and 4.4 %, underscoring their capacity to make substantial contributions across various facets of sustainability. It's worth noting that only 2.9 % of these publications stem from academia-industry collaborations. This indicates a pressing need to facilitate collaboration between academia and industry, as such partnerships have the potential to amplify the impact of semiconductor innovations on the SDGs. The novelty of this study lies in its specific exploration through a comprehensive analysis spanning five years, revealing the alignment between semiconductor advancements and the latest SDGs. It uncovers the significance of collaborative ecosystems involving research institutions, businesses, and governments. Through these results, our study addresses a gap in the existing literature and advances semiconductor contributions to the SDGs.

Democratizing Islamic home financing and reimagining fractional homeownership model: a conceptual framework via big data and blockchain technology

PurposeThis paper aims to propose a model for democratization of Islamic home financing to tackle the issue of sustainability of homeownership affordability.Design/methodology/approachA conceptual framework and fractional equity model (FEM) are developed to incorporate big data analytics, artificial intelligence and blockchain technology in an ecosystem for affordability and sustainability of homeownership via the proposed financing model. In addition, the FEM adopts the simulation approach to show its validity in terms of liquidity when compared with traditional home financing. In this regard, this paper is focused on developing and demonstrating the feasibility of a new financing model, rather than testing specific hypotheses or relationships. This is to propose the democratization model for Islamic Home Financing that will not benefit the prospective home buyers without compromising the profitability of the financial institutions.FindingsThe findings indicate that the proposed end-to-end solution within the financing ecosystem can lead to more efficient matching market between the buyers and sellers of houses, reduced transaction costs, greater transparency and enhanced efficiency which in the end could lead to lower costs of owning homes and sustained financial resilience among house owners. The findings indicate that the FEM model is able to increase homeownership with more elements of liquidity, marketability and sustainability for homebuyers.Research limitations/implicationsThis research highlights the potential of big data and blockchain technology in democratizing Islamic home financing and evidence that the transfer of ownership is possible through tokenization. However, this will require a mature financing environment to adapt the technology for practical application.Practical implicationsThe model proposes a solution to propagate shared prosperity among stakeholders such as the house buyers/owners, sellers, investors as well the government agencies. The proposed FEM model provides alternative home financing that is more marketable, flexible and sustainable for households/buyers and financiers.Social implicationsIt is hoped that with the proposed financing ecosystem to promote affordability and sustainability of homeownership via big data analytics, artificial intelligence and blockchain technology can lead to greater financial resilience for homeowners which can then be translated to enhanced well-being, increased productivity and can further promote economic growth.Originality/valueThis research is a concept paper based on academic research and industry collaboration with a technology provider.

Industry-academia collaboration to develop new building standards

Industry and academia must go hand-in-hand to progress science and knowledge. Often, academic solutions may not be the most optimal solution for the field where there may be a time/ equipment/ training restriction. For our work, we focused on improving the building acoustic standards—specifically the impact performance of floor-ceiling assemblies–through industry and academic collaboration. The research student at Michigan Technological University worked closely with Veneklasen Associates through their (non-profit) funding arm, as well as through summer internships to learn the existing limitations for impact performance field tests. The student used this knowledge to develop a test method with improved reproducibility while ensuring that the test is fast and minimal new training is required. The student now works with Veneklasen Associates after graduating to continue developing this test method.

Carbon Capture and Storage: From Global Cycles to Global Solutions

Anthropogenic carbon emissions have overwhelmed the natural carbon cycle, leading to a dramatic increase in atmospheric CO2 concentration. The rate of this increase may be unprecedented in Earth’s history and is leading to a substantial increase in global temperatures, ocean acidification, sea level rise and potentially human health challenges. In this Geochemical Perspectives we review the natural carbon cycle and its link to global climate. Notably, as directly observed by field observations summarised in this volume, there is a natural negative feedback loop between increasing global temperature, continental weathering rates, and CO2 that has tended to limit Earth climate changes over geological time scales. Due to the rapid increase in atmospheric carbon concentrations, global average temperatures have increased by more than 1.2 °C since the start of the industrial revolution. One way to slow or even arrest this increasing global average temperature is through Carbon Capture and Storage (CCS). Carbon dioxide can be captured either from large industrial point sources or directly from the atmosphere. Taking account of the natural carbon cycle, the most secure approach to storing captured CO2 is by reacting it with mafic or ultramafic rocks to form stable carbonate minerals, a process referred to as “mineral carbonation”. Although mineral carbonation can occur and be accelerated at the Earth’s surface, due to the required scale and required time frames it is most effective in the subsurface. This subsurface mineralisation approach was developed into an industrial scale process through an academic-industrial collaboration called CarbFix. The history of CarbFix, from its beginnings as a concept through its installation as an industrial process is presented in detail. This Geochemical Perspectives concludes with an assessment of the future of subsurface mineralisation as a means to help address the global warming challenge, as well as a detailed list of potential research directions that need to be addressed to further upscale and optimise this carbon storage approach.

Human Capacity Development as a Tool to Maximize the 2045 Demographic Bonus and Strengthen National Defense in Indonesia

<p class="Els-history-head">Human capacity building offers an opportunity for Indonesia’s demography bonus and enhancement of national defense. This lofty goal necessitates this study to assess how human capacity development could be leveraged as a tool for the demographic bonus towards enhancing national defense. The study utilizes qualitative methodology in addressing the research objectives. To maximize a projected demographic bonus by 2045 for Indonesia, a key strategy for state defense is the maximization of human resources to ensure productivity. Three efforts to this effect have been identified and studied. The Merdeka Belajar (Independent Learning) curriculum and the Merdeka Kampus (Independent Campuses) initiative identified processes for educational reform in Indonesia to face the challenges of the demographic bonus in 2045. Another tangible means for human capacity development is the implementation of the Pancasila Student Profile Project, which actualizes the values of Pancasila in the educational process and everyday life through student activities. The creation of excellent and competent human resources is not only to support the economic aspects and industry needs but also in the interests of national defense. The study concluded through holistic education, strengthened defense consciousness, industry-academia collaborations, and a persistent drive for leadership and values, Indonesia is not just preparing for a demographic bonus but </p>

Enhancement of rural agriculture in Japan through industry-academia collaboration: a case of cloud ear mushroom production in Tottori Prefecture

Rural agriculture is a crucial component of social infrastructure owing to its functionalities including domestic food production, securing income sources, and cultural transmission, which are all essential for local communities. Densifying urban settlements including in Japan has resulted in population outflow from rural areas, undermining rural agriculture. Therefore, to prevent population decline in rural areas, it is effective to create innovative and attractive businesses through industry-academia collaboration. Although mushroom production can be a promising option as a model of sustainable, circular agriculture with low environmental impact, there are very few examples of collaboration. In Tottori Prefecture, Japan, among the major domestically cultivated mushrooms, attempts were made to produce cloud ear mushroom (Auricularia polytricha), which was heavily dependent on imports, through industry-academia collaboration. Along with the development of new cultivars suitable for the climate, research was conducted on optimal cultivation conditions, pest control, and post-harvest treatment. As a result, the Tottori Prefecture has achieved the highest production volume of cloud ear mushroom in Japan. This project not only supplies food but also contributes to securing an income source and social welfare because everyone can participate regardless of age or disability. In addition, because no special land or facilities are required for mushroom production, this project can be initiated at a low cost. The characteristics of this project, developed through cooperation between mushroom producers and academic institute, indicate that it is a useful model that contributes to community revitalization as well as mushroom production.

A Conceptual Framework to Revitalize Indian Agricultural Education System for Strengthening Agri Startups and Entrepreneurs

The Indian agricultural education system is crucial for fostering innovation and entrepreneurship in the agri sector. This study proposes an integrated framework for revitalizing agricultural education in India, drawing on successful models from Cornell University and Wageningen University. The framework encompasses curriculum reform, research and development, industry-academia collaboration, entrepreneurship development, skill development, technology adoption, policy reforms, and government support. By implementing these changes, India can empower its agricultural workforce, boost the agri sector, and ensure food security and sustainable development for future generations.

Knowledge production of university-industry collaboration in academic capitalism: An analysis based on Hoffman's framework

As academic capitalism promotes the transformation of knowledge production globally, both parties in the industry-academia collaboration are repositioned as knowledge creators in the new knowledge circuit, in which the knowledge production process becomes an issue to be explored in depth. Based on the analytical framework of Hoffman and the experience of River City in Guangdong Province-Hong Kong-Macao Greater Bay Area, we analyse the ontological, epistemological, and applicative knowledge practices of both industry and academia. Both parties acknowledge the inherent uncertainties in knowledge production. Risk discourse for knowledge practices reflects influences of market/market-like logic on industry-academia collaboration. Around the three dimensions, the contradictions revealed in their interactions are multiple. Accordingly, both parties seek consensus on knowledge outcomes by suspending ontological discussions of knowledge, conceding epistemological issues, and imagining applied consensus. Nonetheless, these acts hardly achieve the desired goal of knowledge advancement and create obstacles to the knowledge circuit.

Advancing novel therapies for neurodegeneration through an innovative model for industry–academia collaborations: A decade of the Eisai–UCL experience

External innovation initiatives in the pharmaceutical industry have become an integral part of research and development. Collaborations have been built to enhance innovation, mitigate risk, and share cost, especially for neurodegenerative diseases, a therapeutic area that has suffered from high attrition rates. This article outlines the Eisai-University College London (UCL) Drug Discovery and Development Collaboration as a case study of how to implement a productive industry-academic partnership. In the first 10 years, seven projects have been established and the first project, a novel anti-tau antibody for Alzheimer's disease, has entered clinical trials, providing early validation of this collaboration model.

Proceedings of the Collaborative Research Network Meeting at the GRAPPA 2022 Annual Meeting.

At the Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2022 annual meeting, the Collaborative Research Network (CRN) met to present updates on several projects. These included the GRAPPA-Industry biomarker projects, Axial Psoriatic Arthritis Molecular and Clinical Characterisation Study, Axial Involvement in Psoriatic Arthritis Cohort (AXIS) study, and the Health Initiatives in Psoriasis and Psoriatic Arthritis Consortium European States (HIPPOCRATES). The meeting concluded with a discussion on pathways to further academia-industry collaboration.

Hospitality Education and Industry Linkages: A Systematic Literature Network Analysis

The purpose of the study was to identify key themes, research gaps, and influential authors, as well as to examine the evolution of research and the quality and rigor of existing literature on hospitality education and its industry linkage. For this, a systematic literature network analysis, comprising a systematic literature review using the PRISMA framework, bibliometric analysis using R programming, network analysis, and thematic analysis was performed. The findings revealed that the most important clusters of research in this area are related to curriculum development, work-integrated learning, and industry partnerships. The review explored the importance of industry-academic collaboration, challenges, curriculum development, and employability as four main themes in the area of industrial linkage in hospitality education. As indicated by researchers, the review suggests the effectiveness of different approaches to industry-academia collaboration in hospitality education, the impact of industrial linkage on the quality of hospitality education in several regions, the role of technologies in enhancing the collaboration between academia and industry in hospitality education, and the development of a sustainable curriculum that incorporates environmental, social, and economic sustainability in hospitality education as future research areas.

Innovating together: how strategic academic–industry collaboration can drive advances in materials discovery and create economic and socio-economic benefits

Innovating together: how strategic academic–industry collaboration can drive advances in materials discovery and create economic and socio-economic benefits

산학연협력 선도대학 육성사업 수행사례 연구

It is necessary to support diversified industry-academia collaboration activities including joint industry-academia technology development, customized technical guidance for difficulties and education for employers of industry, etc. by utilizing capabilities and resources that universities have in order to undergo transition to learner-oriented education that can fulfill the demands of future society. This study is on industry-academia collaboration type cases executed with corporations with the university playing the lead role through LINC project. This study aimed to create and proliferate a leading model by analyzing the operational cases of a design department at a college in capital region. In addition, the effects of this project was reviewed by analyzing its effects on establishment of foundation for industry-academia collaboration and cultivation of competent persons, and sharing and collaboration performances, etc. thereof through improvement of the university system into industry-academia collaboration system. As the result of the study, technology development performances in specialized areas including the effects of cultivation of competent persons by the university and effect of strengthening of industry-academia collaboration of companies, etc. increased continuously, thereby making contribution towards local development.

Cross-cultural Communication Strategies in the Digital Era: A Bibliometric Analysis

The growth of global industrialisation, migration, international trade, industry-academia collaboration, government-industry-academia collaboration, and internationalisation of institutions and business entities has led to an expansion of cross-cultural communication strategies and digitalisation across the world. Because of this, a lot of scientific research publications have been done on cross-cultural communication and digitalisation. Therefore, the purpose of this study was to assess authors’ citations, affiliations, and bibliometric coupling on cross-cultural communication and digitalisation within ten years, between 2014 and May 2023. The purpose of this paper was to identify the countries and disciplines with the most and least scientific publications on cross-cultural communication and digitalisation from 2014 to May 2023. Since the design of the paper was qualitative, the descriptive approach was used. The data (scientific publications) were electronically sampled from Scopus using three key phrases (“cross-cultural” or “communication” or “digitalisation”). In the first instance, a total of 122,461 data were collected from 2014 to May 2023. However, a sample size of 5,493 scientific publications was collected after filtering the initial data with the open-access option. The data collected from Scopus were then analysed with the 1.6.13 version of the VOSviewer software. The results of the study indicate that between 2014 and May 2023, Chang L. is the author with the highest number of scientific Scopus-indexed publications (13 papers) on cross-cultural communication and digitalisation. Also, the United Kingdom is the country with the highest number of scientific publications on cross-cultural communication and digitalisation from 2014 to May 2023. Still, on the results, the United Kingdom with total documents of 674 is the country with the highest number of bibliometric couplings on cross-cultural communication and digitalisation from 2014 to May 2023. In terms of authors with the highest citation within the period studied, Hofstede recorded 546 during ten years. The study recommends that more collaborative research should be done on cross-cultural communication and digitalisation among authors from various disciplines.

Smart Grid in Tanzania: Research Opportunities

During the past five years, the Government of Tanzania has reinvigorated its power generation capacity significantly to ensure smooth execution of its industrialization agenda and cope with the fourth industrial revolution. To ensure reliable availability of power to sustain its growing economy, Tanzania embarked on a deliberated measure to forge an energy mix. This deliberate measure encompasses the use of renewable energy technologies such as wind, solar, biomass, wastes, and micro hydro; natural gas; and other energy sources which are locally available including coal and geothermal. To effectively and efficiently manage such a growing power system and make electricity accessible to all for higher levels of industrial investment and services, the adoption of the smart grid technologies becomes inevitable. This article, tried to unveil possible potential research areas in which scholars, through academia-industry collaborations, can dwell to ensure that the Tanzania smart grid concept is seamlessly realized and maintained, with the expected efficacy. Through literature review, nine research areas have been identified as potential areas relevant to the Tanzania smart grid development.