Industry Experts Research Articles

Ghana’s Strategic Energy Stocks: A Policy Based Review

This study sought to assess Ghana’s strategic stocks policy through the lens of the national energy policy and the realities and dynamics of the energy industry. Employing a theoretical policy appraisal approach and interviews with industry experts, the study established that strategic stock management faces challenges which primarily hinge on inadequate refinery and storage capacity, and inadequate strategic stock of petroleum and refined products. The study recommends nationwide strategic stock policy education, regulations to ensure order with the policy framework, and alternative models such as public-private partnerships (PPPs) to ensure a reliable supply of petroleum products, and to support the maintenance and upgrade of the storage infrastructure.

ESG risk analysis and preparedness of companies in the Czech Republic

This study examines the integration of Environmental, Social, and Governance (ESG) principles into the strategies of companies in the Czech Republic, a region where ESG considerations are increasingly influencing investment decisions and corporate governance. As global sustainability concerns gain momentum, Czech companies face growing scrutiny from investors, regulators, and stakeholders. This research aims to assess the current state of ESG risk analysis and evaluate the readiness of these companies to address the challenges posed by environmental stewardship, social responsibility, and governance effectiveness. To achieve this, the study employs a mixed-methods approach, combining qualitative data from semi-structured interviews with industry experts, corporate leaders, and regulatory authorities, and quantitative data from a survey distributed to a representative sample of companies across various sectors in the Czech Republic. The qualitative interviews provide in-depth insights into the challenges and strategies surrounding ESG integration, while the quantitative survey assesses the extent of ESG adoption, identifies key risk areas, and evaluates companies’ preparedness to tackle these issues. Data analysis includes thematic analysis of interview transcripts and statistical analysis of survey responses, offering a comprehensive view of ESG practices in the Czech business landscape. The findings reveal both best practices and areas needing improvement, providing valuable insights for stakeholders committed to enhancing corporate sustainability. This study contributes to the broader discourse on ESG by highlighting the evolving role of these factors in shaping corporate resilience, innovation, and long-term value creation in the Czech Republic, ultimately promoting a more sustainable and responsible business environment.

Open Source Adoption for Digital Transformation and Data Management During the COVID-19 Crisis

With COVID-19-led business disruption and businesses expediting their move towards digital transformation, Industry experts observed a phenomenon of increased adoption of Open Source Software and database management systems to digitalize the business while keeping costs low. This research has studied this phenomenon using a three-step approach: using the collective intelligence of Twitter without the context of COVID-19, Twitter data with the context of COVID-19, and empirical validation with actual monthly downloads data of open source projects from SourceForge in Pre-COVID and COVID-19 time periods. The research finds that although the COVID-19 pandemic has triggered a digital transformation and the use of database management systems in many organizations, but there is no statistically significant increased use that can be attributed to a crisis response due to the pandemic.

Understanding Divergent Views on Nearly Zero- Energy Buildings between Developers and Procurers in Romania

This study investigates the awareness, perceptions, and preparedness of Romanian construction developers and public procurement specialists in relation to nearly Zero-Energy Buildings (nZEBs), focusing on factors that influence their adoption. Employing a mixed-methods approach, the research analyzes 193 validated questionnaire responses and insights from interviews with four industry experts. The findings reveal a significant disparity in familiarity with nZEB, with developers exhibiting greater awareness than procurers. Compliance with regulations emerges as the primary driver for nZEB adoption, while high upfront costs and a scarcity of qualified workforce are major barriers. Additionally, the complexity and fragmentation of Romanian legislation on nZEB standards creates ambiguities and further hinders effective implementation. Despite these challenges, developers express moderate optimism about Romanian construction companies' adaptability to future nZEB demands, whereas procurers remain less confident. The study underscores the critical role of proactive policy interventions, clear public procurement criteria, and collaborative strategies in aligning government-funded projects with energy efficiency goals. By addressing systemic barriers and fostering innovation, this research provides policymakers and stakeholders with actionable insights to facilitate a smooth transition to sustainable building practices in Romania.

Instilling pedagogy through the Shepherding process

Research on sessional teachers in legal education is underrepresented in the literature (Blackham, 2020). In law schools, sessional teachers are employed to develop and deliver bespoke intensive-based subjects at postgraduate level and are often classifiable as ‘outside industry experts’ (OIEs); this cohort has been described as atypical of sessional academics across the sector in many ways (Cowley, 2010). This poster presentation seeks to add to this area of knowledge, by presenting something of an auto-ethnographic snapshot of a ‘shepherding process’, implemented at MLS, from Educational Designers’ point of view. ‘Shepherding’ is a collaborative initiative for new subjects proposed to be taught at the MLS, enhancing curriculum design outcomes and pedagogical capabilities of new subject coordinators (most of whom lack formal training in teaching), as well as facilitating connection to the wider teaching and learning community and support services. When a new subject is proposed, would-be lecturers are usually not yet employed by the school. Having pitched an idea for a subject with the school, they work with an Educational Designer to refine a new subject proposal to be reviewed by a curriculum committee. As such, the shepherding process and the final deliverable of the new subject proposal form also forms part of the candidature process for prospective subject coordinators. Grounded in co-design principles, shepherding facilitates the integration of instructional design theories, particularly constructive alignment and backwards design, into the subject development workflow from the outset. The educational designer’s role is central to shepherding and begins with the collaborative formulation of subject intended learning outcomes (SILOs), development of an assessment regime and comprehensive subject mapping, with the aim to establish constructive alignment. Additionally, the shepherding process includes guidance on designing course content within the LMS, providing a structured and accessible online environment for students. In helping guide a new subject through to acceptance and by being a singular point of contact with new lecturers, the educational designer forms an ongoing relationship which can also help with ensuing curriculum development. Hitch et al. (2017) and Hattam et al. (2024) have both argued that sustainable and targeted professional development of sessional staff is a critical factor for increasing engagement and feelings of connection with their institution and to their roles, and that where this is lacking the consistency and quality of student educational experience can be undermined. Cowley (2010) argues for the creation of school-level programs of support for law schools, specifically aimed at OIEs, in lieu of one-size-fits-all programs at the institutional level. Because of the nature of the OIE cohort and subject delivery timelines, there is a limited window of opportunity to work towards ‘acculturating casual staff to the new student-focused learning agendas’ (Kift, 2003 cited in Cowley, 2010), towards improving student learning outcomes. By providing targeted support for OIE teaching staff, the shepherding process has represented a significant advance in MLS’s instructional design and curriculum development process, enhancing the alignment, consistency and quality of subject design. By aligning teaching practices with established instructional design theories, the process enhances the educational experience for both instructors and students.

Optimising Healthcare Education with Design-Based Theory

Introduction In complex, and socially dynamic educational systems, traditional research methodologies often fail to connect with everyday practice, creating a need for “usable knowledge” when solving individual and collective education problems (Design-Based Research Collective, 2003). Traditional methods are effective, but do not necessarily uncover the nature of changes to student thinking during an education experience. With this, Design-Based Research (DBR) is a proposed solution that emerges as a pivotal methodology in educational research, as it aims to integrate theories of learning with practical experiences. Seen as a systematic yet adaptable approach, DBR integrates iterative cycles of analysis, design, and evaluation in collaboration with researchers and practitioners within authentic educational settings, (Harrington, 2012; Wang & Hannafin, 2005). This (poster) presentation will describe how DBR was utilised to create a learning environment to improve learning experiences within healthcare education. An analysis of the problem highlighted that healthcare students experienced high levels of anxiety during high-fidelity simulation when asked to perform and treat simulation manikins (Aiello et al., 2023). In part, the main issues relate to a lack of environmental authenticity, resulting in under-stimulation and performance anxiety resulting in over-stimulation. This relates to the Yerkes Dodson stress performance curve and suggests that too little or too much arousal results in poor performance (Yerkes, 1908). The hypothesis therefore was to design a solution for peak performance by increasing environmental authenticity and managing anxiety. Method The hypothesis is conceptualised as a ‘design solution’ rather than an intervention. To provide an authentic learning experience virtual reality environments were developed, and to aid performance anxiety, the centering technique was used. Centering is a visualisation technique that teaches participants to focus on the here and now, reduce negative thoughts, and lower anxiety. Virtual reality scenarios were provided prior to each simulation and included a ward-based environment (nurse students) and a rescue helicopter (paramedic students). The study involved 35 Master of Nursing Science, Entry to Practice student nurses at the University of Melbourne and 33 Bachelor of Health Science, Paramedicine students at Auckland University of Technology and industry experts within nurse and paramedic education. All data was collected for each cohort iteratively in 2023 and 2024 to evaluate and develop the design. Data collection included using the State-Trait Anxiety Inventory as a pre-test baseline to measure general and long-standing anxiety for each participant. Within-test heart rates was recorded on a Polar H10 chest strap to measure an objective physiological response to stress. Post-test participants completed the Competitive State Anxiety Inventory–2R after each simulation to understand subjective anxiety and several focus groups were completed to gain further insight into experiences and perspectives. Discussion and Conclusion This presentation outlines the design characteristics used to support student learning within healthcare education settings. Design-Based Research offers a robust framework to develop and refine educational practices through iterative design and implementation cycles. Early results suggest that both virtual reality and the centering technique impact healthcare learning and the implementation of this approach could lead to long-term resilience and build confidence that maximises potential.

Unlocking the Potential of IoT: Discovering the Next Big Advancements in Connectivity and Automation

The Internet of Things (IoT) has revolutionized the way we connect and interact with the world around us, bringing unprecedented levels of automation, convenience, and efficiency. As this transformative technology continues to evolve, researchers and industry experts are exploring emerging trends and technologies that have the potential to shape the future of the IoT landscape. In this article, we provide a brief overview of the current state of IoT and delve into key areas of innovation, including edge computing, artificial intelligence (AI), 5G connectivity, blockchain, and sustainable energy harvesting. These advancements hold immense promise in addressing challenges, enhancing security, enabling real-time applications, and fostering sustainability within the IoT ecosystem. Understanding and harnessing these emerging trends is crucial for unlocking the full potential of the IoT and driving its continued growth and impact on various industries and everyday life. Keywords: Internet of Things, IoT, edge computing, artificial intelligence, machine learning, 5G connectivity, blockchain, energy harvesting, sustainability.

An Insight from Organizing CLImbing for CLImate GEOspatial School (CLIGEOS-2024) in Mountainous Regions

Abstract. This paper delves into the multifaceted experiences and insights garnered from organizing a short-term training programme aimed at professionals, students, academics, and climate enthusiasts. The programme, named CLImbing for CLImate GEOspatial School (CLIGEOS-2024), was a collaborative effort by the International Society of Photogrammetry and Remote Sensing (ISPRS) and ISPRS Student Consortium (ISPRS-SC) alongside Center for space science and geomatics studies (CSSGS) Pashchimanchal campus, Institute of Engineering, Tribhuvan University, Nepal, Universita’ Degli Studi Di Udine, Italy and LJ University, India aimed at addressing environmental challenges, particularly in hill and mountain regions. Despite facing logistical and communication hurdles due to the geographical dispersion of organizing institutions, the event successfully brought together participants with backgrounds in GIS, remote sensing, agriculture, and forestry. The programme was structured to promote participatory learning and project-based learning methodologies, incorporating classroom teaching, hands-on activities, fieldwork, data collection, short projects, quizzes, and evaluation mechanisms. Through a meticulously planned sequence, participants engaged in theoretical lectures, practical sessions on drone technology, industry expert presentations, and a mountain trek to observe climate change phenomena first-hand. Despite challenges related to infrastructure, including limited internet connectivity and access to data, the programme served as a catalyst for raising awareness about climate change and promoting sustainable practices. Key takeaways highlighted the importance of spatial data analysis, interdisciplinary collaboration, and hands-on learning in advancing solutions for sustainable development. The paper concludes with lessons learned from the programme, providing insights for future initiatives aimed at capacity building and knowledge dissemination.

‘Making Every Seat for Everyone’: Audience Development Research Report for New Independent Cinema FilmLab

The British independent film industry has experienced a consistent decline in revenues over the past decades, resulting in heightened competition among independent cinemas. FilmLab, a newly established independent cinema affiliated with ArtsLab - a highly regarded arts organisation in Edinburgh – has commissioned this report in response to its client brief. The aim is to help FilmLab attract wider audiences using limited financial resources. We adopted audience development as the approach to address these concerns because of its two characteristics: first, its social objective of making the arts widely accessible, and second, its equal attention to the needs of existing and potential audiences. Existing research emphasises the significance of reducing barriers to participation in the audience development process. However, much of the previous work in this field has primarily focused on mainstream cinema attendance. As a result, the applicability of these findings for niche, less economically productive independent cinemas remains unclear. Therefore, this report mainly examines the barriers that prevent Edinburgh residents from independent cinemas and explores how FimLab can increase participation among different groups by creating more opportunities for participation. Through a questionnaire and eight follow-up interviews with Edinburgh residents, along with semi-structured interviews with five industry experts, we identified barriers and potential incentives in four crucial aspects: visibility, attractiveness, affordability, and sustainability. Meanwhile, we developed corresponding recommendations. We propose that independent cinemas could serve as open and accessible spaces for all audiences by reducing the common barriers to audience participation. The findings of this report may offer references for the identification of barriers to independent cinema attendance, while our strategies could inspire audience development strategies for independent cinemas.

Artificial Intelligence and Corporate Social Responsibility: Synergies, Challenges, and Future Directions

Corporate social responsibility, or CSR, has been the subject of an increasing amount of interest with the infusion of artificial intelligence or AI. AI may open up much-needed improvements in CSR practice, including better decision-making, transparency, and sustainable benefits, but it also poses challenges related to the ethical concerns of data privacy, bias, and accountability. This paper focuses on how an AI-based approach enhances CSR activities and identifies risks embedded in AI adoption in approaches to CSR. The study combines qualitative interviews with industry experts and quantitative analysis of CSR reports from AI-adopting firms and thus sheds lights on the upside and downside of AI-enhanced CSR. Finally, this article ends with recommendations in developing a framework that would align AI capabilities with CSR objectives and indicates how that may potentially challenge future research directions in order to mitigate the ethical challenges involved.

Practical implications for design professionals: integrating emerging patterns into new media interface design

ABSTRACT In the new media era, visual communication design (VCD) in interface design (ID) relies on critical design patterns—layout, color, typography, and interactive elements—that are essential for user engagement. This study investigates these design patterns in ID, drawing on responses from 760 professionals, including UI and UX designers, researchers, and industry experts. Data analysis with SPSS revealed key trends, common practices, and areas for innovation, informing strategies for improved user experiences in new media interfaces. By highlighting emerging patterns and addressing literature gaps, the study offers valuable insights into design preferences and challenges faced by professionals, with implications for educational curricula, tool development, cross-disciplinary collaboration, and user-centric guidelines.

Optimizing Sustainable Manufacturing: An Integrated Approach of Green Information’s Systems and Knowledge-Based Decisions in Industry 4.0: A Comparative Analysis

Adopting green information technology (IT) systems has become crucial for improving the environmental sustainability of manufacturing firms. To drive the manufacturing process more appropriately, management and administrators recognize the importance of developing green IT systems aligned with knowledge management (KM) practices. To accomplish the study objective, experts were engaged in a study conducted in Henan manufacturing firms to share their knowledge on the factors that influence management’s intention to adopt green IT systems concerning KM. The study collected 324 valid responses from industrial experts in Henan manufacturing industries through survey questionnaires. Using structural equation modeling (SEM), the hypotheses were evaluated, and the significance of each factor in the model was determined. The SEM results revealed that the KM process interpretation significantly influences green IT systems to improve manufacturing process development. Furthermore, the study found that combining KM processes and green practices has a more substantial impact on improving the manufacturing process. This suggests that integrating knowledge management practices with green IT systems can lead to better environmental sustainability and overall performance in manufacturing firms. The findings of this study offer valuable insights for decision-makers and policymakers in formulating policies and programs to implement a green information system with green implementation processes effectively in the manufacturing sector. By adopting these strategies, manufacturing firms can contribute to environmental sustainability while simultaneously improving their overall performance.

A Review on the Mathematical Modelling of the Grain Storage Ecosystemin Storage Structures and Bags

The grain storage ecosystem comprises of biotic and abiotic factors that interact during grain storage, and their interaction affects the quality of the stored grains over time. The understanding and management of the complex interaction of the biotic and abiotic factors in the stored grain ecosystem is crucial to decision-making and in the development of management strategies for grain farmers and elevators. Mathematical modelling has emerged as an essential approach in tackling complex systems such as the stored grain ecosystem. This review explores the application of mathematical modelling in the grain storage ecosystem and synthesizes the existing literature, highlighting the various mathematical models and approaches to solving issues relating to the grain storage ecosystem. The review will be helpful to researchers and stored grain experts in the grain industry on the various mathematical modelling approaches and equations that can be employed to solve problems associated with grain storage in order to better manage the quality of stored grain.

Modelling Motor Insurance Claims Using Arma Model And Appropriate Statistical Distribution Of Insurance Companies, Machakos County, Kenya

The prediction of future claim amounts based on past or present claims is a challenging task for insurance companies. According to research carried out by Michael Barth and David L. Eccles (2009); claim costs constitute large proportion of insurers expenses in evaluating the premium growth on the loss ratio of property causality insurers. Various statistical techniques have been employed to analyze claims data and assess its impact on productivity. Autoregressive (AR), Moving Average (MA), and Auto Regressive Moving Average (ARMA) processes are commonly used to model the temporal dependencies and trends in the data. These techniques enable insurance companies to understand the dynamics of claim incidence and their effects on productivity over time (Philip J, 2016). Advanced modeling techniques such as generalized additive models, negative binomial regression, and multinomial logit models have been used to evaluate claims processes, predict claim occurrence, and model claim severity (Renshaw A.E, 1994; Edward. W Frees et al., 2008; Daiane Aparecida Zanetti et al., 2006). These models consider various factors such as driver age, gender, vehicle type, and no claim discount to assess their impact on claim incidence and productivity. Previous studies have overlooked the comprehensive examination of the impact of insurance claims on productivity on insurance companies. Therefore, this research aims to address this gap by investigating the factors associated with insurance motor claims and their effects on the productivity of insurance companies by employing statistical techniques like appropriate probability distribution, incorporation of moving average technique, Autoregressive process and ARMA process, as identified by industry professionals and experts. The results obtained from the real-life data for distinctive 11 years indicated the potential strength of ARMA models to provide insurance company's claim amount prediction that could assist the companies to have better planning. The findings of this study, if adopted by various keynote players in the insurance and regulatory sectors, can be highly beneficial in formulating appropriate policies to enhance the management of motor insurance claims and improve the productivity of insurance companies.

The impact of venture capital subscription on price deviation of private placement: evidence from China

Purpose The purpose of this study is to examine the role of venture capital (VC) in supporting corporate growth and innovation through participation in private placements. While VC provides essential financial support to companies, it remains unclear whether this involvement serves a strategic investment role or a purely financial one. This study seeks to elucidate the role of VC by analyzing changes in the price discount of private placements following VC participation. Design/methodology/approach The authors take the private placement events of China A share listed companies from April 2005 to January 2023 as the sample, and examine the influence of VC subscriptions on price discount rate. Findings VC subscriptions to private placements increase information asymmetry, consequently raising the discount rate. This relationship is influenced by the transaction characteristics and information environment. Specifically, VC subscriptions further elevate the discount rate when VC are geographically dispersed from the issuers, possess industry expertise in the issuers’ sector, allocate raised funds for asset restructuring or non-digital investments and when the issuers are in their growth stages. Moreover, the positive correlation between VC subscriptions and the discount rate is more pronounced under conditions of lower internal control quality and weaker external media supervision. Higher discount rates in VC-subscribed private placements result in lower R&D investment and investment efficiency by the issuers, leading to larger-scale VC sell-offs and ultimately diminishing the market and financial performance of the issuers. Practical implications The issuers should diligently assess the behaviors and motives of VC and selectively choose issuance targets and methods to manage risks associated with price deviations in private placements. Additionally, this study recommends that regulatory authorities develop a more detailed regulatory framework that considers transaction characteristics and the information environment. This strategy should help optimize external regulatory measures like media coverage and protect the interests of small and medium-sized investors. Originality/value This study extends research on the “name chasing” motive and certification effect of VC in private placements, enriches the literature on the mechanisms forming discount rates and provides insights for refining regulatory policies on private placements.

Navigating Challenges in Online Cybersecurity Education: Insights from Postgraduate Students and Prospects for a Standardized Framework

This study focuses on the challenges encountered in online cybersecurity education. It adopts an exploratory research design using a mixed-methods approach to investigate the perceptions and experiences of postgraduate students enrolled in an online cybersecurity program. The collection of data is structured into two distinct phases. In the initial phase, qualitative insights are gathered through workshops with students and industry experts, followed by administering a questionnaire to delve deeper into students’ perceptions and challenges. Thematic analysis of the responses reveals significant interest in online cybersecurity programs but also highlights issues such as ineffective communication and poor engagement. The findings highlight the necessity for a standardized framework to improve communication, engagement, and overall effectiveness in virtual learning environments. By empowering instructors to design more interactive courses and leveraging technology efficiently, the framework aims to improve student motivation, satisfaction, and learning outcomes. Moreover, it serves as a valuable resource for institutions, fostering collaboration and innovation in cybersecurity education. Implementing this framework will create a more conducive learning environment, directly enhancing student preparation for success in the dynamic field of cybersecurity.

Exploring the Extraction and Application of Anthocyanins in Food Systems

The continued use of synthetic additives in food production and preservation has raised concerns among consumers, given their potential negative health effects. Researchers and food industry experts have been exploring plants with potent functional compounds as an alternative source of natural compounds such as anthocyanins, which can be utilized to produce safe food additives. Given their various biological activities, great potential exists for anthocyanins to be used as additives to preserve food or produce functional foods with health benefits. However, to fully realize the economic and health benefits of anthocyanins, a deep understanding of the different plant sources of anthocyanins, as well as their composition, extraction techniques, and function in various products, is warranted. Therefore, this paper critically reviews the different plant sources of anthocyanins and their application in the food and nutraceutical industries, highlighting emerging extraction techniques, health benefits, and challenges in the use of anthocyanins in the food industry. This review also offers insights that could be used in future research and help establish novel and sustainable methods for manufacturing anthocyanin-based value-added products and ingredients.

Technology adaptation in sugarcane supply chain based on a novel p, q Quasirung Orthopair Fuzzy decision making framework

The present paper contributes to the literature in two ways. First, it develops a novel p, q Quasirung Orthopair Fuzzy (p, q QOF) based group decision making framework to modify a recently developed multi-criteria decision making (MCDM) model such as Comparisons between Ranked Criteria (COBRAC). Second, the paper ruminates on the Strength-Weakness-Opportunity-Threat (SWOT) of the sugarcane supply chain (SSC) in India vis-à-vis adaptation of the advanced technologies featuring Industry 4.0. To set the sub-factors of various dimensions of SWOT, the theoretical ground of Technology-Organization-Environment (TOE) framework has been used. The sub-factors of SWOT have been derived through an informal in-depth discussion with the experts of the sugar industry. Then using a Likert five-point linguistic scale the experts rated the sub-factors based on their relative importance. To determine the weights the modified COBRAC method has been applied. In subsequent stages the reliability of the model has been tested and sensitivity analysis has been carried out to check the stability of the result. The analysis reveals that while experience, by-product utilization and high demand provides strength and create opportunities for SSC, the areas of concern are lack of variety, fragmented nature of supply chains, shortage of next-gen talent and inadequate infrastructure. However, there are enough promises for SSC. The paper shall provide impetus to strategic decision makers for the sugar industry and puts forth a new decision-making framework for the analysts.

Goal modelling in aeronautics: Practical applications for aircraft and manufacturing designs

Traditional aircraft development follows a sequential approach: the aircraft is designed first, followed by the industrial system. This approach limits the industrial system’s performance due to constraints imposed by the pre-defined aircraft design. Collaborative approaches, however, advocate for simultaneous design of different products to create new opportunities. Within a project focused on co-designing aircraft and their industrial systems, we put goal modelling into practice to gain a comprehensive understanding of the objectives driving each system’s design and their interdependencies. The intention was to develop an approach for actively involving domain experts, even those lacking prior knowledge of Goal-Oriented Requirements Engineering (GORE).This paper provides a detailed account of the iterative process employed to develop and refine our approach. For each iteration, we describe the organisation of modelling sessions with experts, the resulting models, and the collected feedback. We also report on the overall approach’s reception from both industry experts and academic participants. Furthermore, we highlight recommendations and research challenges that emerged from the encountered difficulties during the iterative process, suggesting avenues for further investigation and improvement.

Transnational experience exchange between countries towards speeding up EU renewable transition: example of Norway-Croatia

Abstract The RePowerEU plan aims to increase wind energy capacity to 480 GW by 2030, with 300 GW coming from offshore wind farms, to achieve climate neutrality by 2050. Due to Croatia’s substantial dependence on nautical and coastal tourism, along with significant concerns regarding negative environmental impacts, the installation of offshore wind farms has not been previously considered. However, due to increased demand for renewables, the offshore energy potential resurfaced. The recent Action Plan for the Uptake of Offshore Renewable Energy Sources in Croatia (May 2023) estimated offshore wind potential at 25 GW and identified more than 29 000 km2 of area available for offshore renewables. Norway, with its extensive experience in offshore engineering and pioneering developments in offshore wind, is a suitable partner in joint innovation and a resource for tried and tested best practices. In this collaborative research, a review of relevant documents, research articles, and interviews with industry experts from both from Croatia and Norway was conducted to obtain a broader perspective of the implications of offshore development in Croatia. As an outcome of this preliminary research, the paper outlines the required evaluations in the Croatian context, in terms of the social, environmental, legislative, and technical aspects that are to be considered for large-scale integration of wind energy into the Croatian grid. It also identifies the necessary grid improvements to achieve a reliable and sustainable grid of the future.