Industrial Landscape Research Articles

Optimization of building thermal environment in industrial heritage landscape regeneration design simulation based on image visual visualization

Optimization of building thermal environment in industrial heritage landscape regeneration design simulation based on image visual visualization

Research on the Transformation of Radio and Television Directors in the Media Convergence Environment

In today's social context, the market landscape of various industries in China has become more complex, and the continuous development of information technology has greatly influenced the working methods of many sectors, promoted the transformation and upgraded of different industries. With the widespread application of the internet and information technology, traditional radio and television face significant challenges. To meet the needs of media convergence development, it is essential to optimize the content of radio and television based on the current development situation and accelerate the transformation of radio and television directors, thus addressing the shortcomings of the media market and adapting to the needs of the times. Therefore, directors, as a crucial link that impacts the quality and effectiveness of radio and television, must fully leverage the core advantages of radio and television media, explore scientific development paths, break through the current developmental challenges, accelerate their transformation, and promote the continuous prosperity of China's radio and television industry.

The Ascendancy of RISC-V: An In-Depth Review of Its Open-Source Potential and Future Applications

Currently, the rapid advancement of RISC-V and the consequent changes in industry and market landscapes are capturing significant attention from various stakeholders. In recent years, there has been a notable increase in the number of companies and developers dedicating their efforts to researching and developing RISC-V technologies. In light of this trend, this paper aims to examine the global development of RISC-V, providing a comprehensive analysis of its progression on an international scale. It will compare RISC-V with other prominent instruction set architectures such as x86 and ARM, evaluating the relative merits and drawbacks of each. The paper will systematically organize and discuss relevant data to highlight RISC-V’s advantages and limitations. Furthermore, it will present an overview of existing RISC-V products and their applications across different sectors. Lastly, the paper will explore the future market potential of RISC-V, assessing how it might influence the industries related to chips and related markets in the coming years.

Historical Quarry Landscapes of Three Finnish Granites

The quarry landscapes of Virolahti, Uusikaupunki, and Vehmaa are results of quarry operations during the most important periods of natural stone quarrying in Finland. The quarry landscape in Virolahti was formed in connection to the quarrying of red Virolahti pyterlite for the construction of St. Petersburg in Russia from the middle of 1700s to the beginning of the 1900s, while in Uusikaupunki, the quarry landscape is connected to the start of the modern Finnish stone industry and the National Romantic architecture at the beginning of the 1900s. The quarry landscape in Vehmaa is related to the start of the modern Finnish stone industry and export of Finnish granite at the beginning of the 1900s. In Virolahti, several small quarries can be seen, while in Vehmaa, a tendency towards fewer, but larger quarries start to emerge. In each area, human settlement was formed around the quarries. The geological basis for all areas is a rock type suitable for natural stone quarrying. The geotechnical features of each rock type indicate high resistance to wear and the products from these areas are early examples of durable construction. The quarry landscapes represent well the typical quarrying technology of the time and its development from channelling by chisels through hand drilling to mechanical drilling and blasting. The quarry areas form unique industrial and cultural heritage landscapes in Finland.

Analysing the modest fashion market: an empirical study of e-commerce best-selling products

Purpose This study examines the dynamics of the modesty-conscious market within the global fashion industry. Specifically, the research aims to understand and analyse the preferences of consumers in this market segment and provide guidance for fashion companies seeking to engage with this sizable audience consumer demand for modest fashion, such as loose-fitting garments and headscarves for women. Design/methodology/approach Employing a mono-method quantitative research approach, this study uses a comprehensive big data analytics framework to analyseashion data sets obtained from e-commerce websites. Findings The findings highlight a persistent and growing demand for modest fashion; that demand proved resilient in the face of challenges presented by the COVID-19 pandemic. Modest shoppers demonstrate price sensitivity, and their preference for premium brands over affordable ones varies considerably. Crucial factors contributing to the success of modest clothing as best-sellers include price, retailer, colour and fabric, while the discount feature is less important. Research limitations/implications While this research provides significant insights, it is important to acknowledge its limitations. This study relies on data gathered from certain e-commerce websites, and specific nuances of consumer behaviour may not be fully captured. In addition, the scope is limited to a specific timeframe and may not account for long-term market shifts. Practical implications Fashion companies could use the results of this study to customise their strategy for engaging the modesty-conscious demographic. Comprehending the significance of elements such as price, retailer, colour and fabric can allow firms to enhance their product offerings and marketing strategies. Social implications This study highlights the social ramifications of the modesty-focused industry, stressing the changing tastes and requirements of customers within this sector. By aligning their strategies with these societal shifts, fashion companies can contribute to a more inclusive and diverse industry landscape. Originality/value This research contributes to the academic literature on modest fashion by using a unique combination of exploratory data analysis and machine learning techniques with fashion e-commerce data sets. This study addresses a gap in the use of big data within this field, and provides novel insights into consumer demand for modest garments. This study challenges the prevailing assumption that consumers of modest fashion prioritise premium pricing, and offers fresh insights into their price sensitivity across both mass-market and luxury segments. It contributes to the literature on consumer behaviour in niche fashion markets and introduces a theoretical framework for understanding the intersection of fashion, culture and consumer economics within the context of modest fashion.

Research on Recruitment Management Innovation of Chinese Budget Hotel Chain Enterprises under the Big Data Environment

Abstract: This study delves into the transformative impacts of big data on recruitment management within China's economy hotel chains, emphasizing the urgency and relevance of this research theme in light of the swift digitization witnessed in the hospitality sector. By scrutinizing the current scenario of China's economy hotel industry, the paper underscores the infusion of big data to enhance recruitment processes, thereby addressing prevalent challenges such as inefficiencies and skill mismatches. A thorough analysis reveals that the prevailing recruitment framework within economy hotel chains fails to adequately align with evolving market dynamics and technological progressions. Consequently, innovative strategies leveraging big data analytics and artificial intelligence are proposed to refine recruitment practices, aiming for heightened precision in talent acquisition and process optimization. The research concludes by highlighting the substantial business value and societal ramifications associated with the adoption of big data in recruitment, emphasizing enhancements in operational efficiency, competitive positioning, and contributions to the broader economic landscape of China's hospitality industry.

An Analysis of the Risks and Rewards of Merger and Acquisition Strategies in the Gaming Industry

Abstract: In the dynamic landscape of the gaming industry, companies strive for growth and competitiveness through strategic means, including mergers and acquisitions (M&A) for diversification. This paper examines the risks and rewards inherent in such strategies, focusing on their implementation within the gaming sector. Through case studies like Microsoft's acquisition of Mojang and Activision Blizzard's purchase of King Digital Entertainment, it explores the complexities of M&A diversification and its impact on long-term gains. Drawing from literature on M&A theories and diversification strategies, it delineates the nuances of M&A execution and integration, crucial for success in the fast-paced gaming environment. While successful diversification can lead to market expansion, technological advancement, and risk mitigation, failures like Activision Blizzard's struggle with King Digital Entertainment underscore the importance of strategic alignment, resource integration, and market foresight. By dissecting these cases, this paper offers insights for industry stakeholders to navigate the challenges and capitalize on the opportunities presented by M&A diversification in gaming.

Human Factors Considerations in Artificial Intelligence Applications for Nuclear Power Plants

In recent years, there has been a wave of artificial intelligence (AI) technologies that offer to solve problems from shopping habits to mortgage approvals to critical systems operations. The rapidity of the development of these systems has led to both excitement and apprehension about the roles these systems should play in our modern societies. This paper focuses on the critical infrastructure industry, in general, and nuclear power generation, in particular, and seeks to scrutinize how we can leverage these novel technologies in human-centered ways to maintain or enhance the established high levels of reliability and resilience in these industries. First, we discuss the broader aspects of cognitive systems and activities that are critical to understanding the human-AI space. Then we explore different approaches to explainability in AI and the notions of trust. We then move on to discuss several human factors concepts and methods and how they can support the design of human-AI teams. We then explore recent research related to nuclear power that has been undertaken and evaluate the current industry and regulatory landscapes. Finally, we discuss identified research gaps and recommendations for solving these for the critical infrastructure space.

Implementation of Strategic Planning in Vocational High Schools to Address the Challenges of the Industrial Revolution 4.0

<p dir="ltr"><span>Abstract:</span><span>This study examines the implementation of strategic planning in Vocational High Schools (VHS). In facing the challenges of Industrial Revolution 4.0 the research focuses on 11 principals. Additionally, 22 teachers from VHSs in the Special Region of Yogyakarta (In Bahasa: Daerah Istimewa Yogyakarta/DIY) are involved. Utilizing quantitative methodology, results reveal intriguing patterns. School principals develop strategic plans and actively involve teachers. There is participation from parents and industry stakeholders. A significant emphasis is placed on the use of technology to enhance effectiveness. The efficiency of VHS management is also improved. Evidence shows the integration of digital technologies. Online learning platforms are noted in the schools' operations and educational processes. The study highlights the critical role of collaborative and tech-driven approaches. This prepares vocational schools to meet the demands of the evolving industrial landscape.</span></p><div><span><br /></span></div>

The New Energy State: Offshore Governance Regimes for Renewables as Natural Resources

Maturing renewable energy technologies are birthing new industry configurations, with offshore wind—with the EU holding 80 percent of global capacity—and “energy islands,” as notable examples. However, a clear conceptualization of the role of the state and governance framework is lacking, alongside growing pressure for the state to define the path forward. This paper analyzes recent developments in emerging EU offshore renewable energy regimes, drawing three implications that show the need for new governance frameworks. First, there is a reconfiguration of energy industry structures around changing economics and policies, in a repeat of historical experience. Second, energy islands increasingly represent features of a natural resource in fixed supply, with the economic nature of offshore energy gradually transiting from the sub-domain of renewable energy economics towards natural resource economics. Third, to realize their economic value, governance frameworks are needed to enable these resources to harmonize with other resources in fixed supply, such as the land on which they are sited, which is constitutionally under the stewardship of the state. We set out criteria for governance of these emerging offshore renewables, to underpin the changing industry landscape and new role of the state within it. JEL Classification: L22, L24, L51, Q20, Q24, Q28, Q32, Q38, Q48

Data utilisation among employees in SMEs in Destination Limfjorden, Denmark

ABSTRACT This article explores the efforts of Destination Limfjorden in Denmark to enhance employees’ competencies and skills in small and medium-sized tourism enterprises (SMEs) through the strategic use of data. The study employs a mixed-method approach, integrating digital questionnaires and semi-structured interviews to identify the competence needs of stakeholders. The research reveals a significant need for improved digital guest services and highlights the importance of data usage within companies, network building and general competence needs. The article also reviews the literature on the role of big data in augmenting tourism research and the challenges SMEs face in harnessing big data analytics. It underscores the need for robust knowledge management initiatives, targeted skill development programmes and a culture of collaboration among tourism SMEs. The article concludes by emphasising the increasing significance of big data competencies for SMEs in the tourism sector, particularly in remote European regions, and the potential of data analytics in fostering resilience among SMEs and enhancing their competitiveness within the evolving dynamics of the tourism industry landscape.

Risk Retention and Management Implications of Medical Malpractice in the Italian Health Service

This work provides an economic exploration of the multifaceted world of medical malpractice risk. Third party liability insurance plays a central role in protecting healthcare providers and public care institutions from the financial consequences of medical malpractice claims, although in recent years, the industry landscape has been characterised by periods of distress for this type of protection, with rising litigations and reimbursement costs, resulting in a peculiarly complex market. For the Italian context, the study focuses on the financial repercussions for healthcare institutions of the growing trend towards risk retention practises, legally empowered by the introduction of Law No. 24/2017. The analysis employs Generalised Linear Models for the regressive approach to incorporate the structural and organisational characteristics of hospitals and uses quantitative simulations to explore different scenarios at a regional aggregate level. Due to the limited existing literature and data on the topic, this research aims to provide new methods for effectively understanding and managing this type of risk, thereby supporting decision-making processes in the healthcare sector.

Industry 4.0‐driven business model innovation for supply chain sustainability: An exploratory case study

AbstractIn the rapidly evolving landscape of the automotive industry, firms are increasingly turning to advanced Industry 4.0 (I4.0) technologies to drive innovation and sustainability. While I4.0 technologies hold immense potential for Business Model Innovation (BMI) and supply chain (SC) sustainability, a gap exists in understanding how firms can leverage BMI and SCS effectively. This study addresses this gap and explores the impact of implementing I4.0 on BMI and its effects on SC sustainability. Utilizing an exploratory case study approach, the research investigates an Indian automobile SC and highlights how I4.0 technologies such as IoT, cloud computing, additive manufacturing, analytics, and automation contribute to BMI, enhancing operational efficiency and SC sustainability. Additionally, the study emphasizes the importance of fostering collaboration among SC entities and the need for support from large‐scale manufacturers for the initial adoption of I4.0 technologies at the small‐scale supplier level. Based on these findings, the study develops the ‘I4.0‐enabled BMI for SC Sustainability’ framework, providing a structured approach for integrating I4.0 and BMI to enhance SC sustainability. This research investigates and applies Dynamic Capability (DC) theory to examine I4.0 transformations and contributes to DC theory by demonstrating how I4.0 facilitates BMI across the value chain, leading to improved sustainability performance.

Knowledge Editing for Large Language Models: A Survey

Large Language Models (LLMs) have recently transformed both the academic and industrial landscapes due to their remarkable capacity to understand, analyze, and generate texts based on their vast knowledge and reasoning ability. Nevertheless, one major drawback of LLMs is their substantial computational cost for pre-training due to their unprecedented amounts of parameters. The disadvantage is exacerbated when new knowledge frequently needs to be introduced into the pre-trained model. Therefore, it is imperative to develop effective and efficient techniques to update pre-trained LLMs. Traditional methods encode new knowledge in pre-trained LLMs through direct fine-tuning. However, naively re-training LLMs can be computationally intensive and risks degenerating valuable pre-trained knowledge irrelevant to the update in the model. Recently, Knowledge-based Model Editing (KME), also known as Knowledge Editing or Model Editing , has attracted increasing attention, which aims to precisely modify the LLMs to incorporate specific knowledge, without negatively influencing other irrelevant knowledge. In this survey, we aim to provide a comprehensive and in-depth overview of recent advances in the field of KME. We first introduce a general formulation of KME to encompass different KME strategies. Afterward, we provide an innovative taxonomy of KME techniques based on how the new knowledge is introduced into pre-trained LLMs, and investigate existing KME strategies while analyzing key insights, advantages, and limitations of methods from each category. Moreover, representative metrics, datasets, and applications of KME are introduced accordingly. Finally, we provide an in-depth analysis regarding the practicality and remaining challenges of KME and suggest promising research directions for further advancement in this field.

Unlocking the Power: How Digital Transformation Fuels Intellectual Capital

Purpose–This paper aims to explore the transformative impact of digitalization within the aviation sector, with a specific focus on airport terminal management. The primary objective is to understand how digitalization influences and reshapes the various facetsof the industry, particularly in terms of intellectual capital.Design/Methodology/Approach –This study employs a conceptual overview to examine the impact of digitalization on intellectual capital in aviation management. By analyzing the integration of digital technologies, the study explores their effects on human, structural, and relational capital. The conceptual framework is enhanced by detailed network analysis using the NetworkX library, offering an in-depth examination of the relationships between elements of intellectual capital and digital transformation criteria.Findings–The study uncovers the intricate relationships defining TAV Holding and its subsidiary entities, providing insights into the dynamic interplay of power, influence, and intellectual capital within the aviation sector. It reveals how digital transformation criteria are crucial in enhancing intellectual capital, which includes human, structural, and relational capital. The findings emphasize the role of digital technologies in streamlining processes, improving decision-making, and fostering innovation.Discussion–This paper contributes to the body of knowledge by highlighting the original value of studying the impact of digitalization on intellectual capital in the aviation sector. It underscores the importance of digital transformation criteria in enriching intellectual capital and fostering resilience in a rapidly evolving industry landscape. The discussion also addresses the broader implications of these findings for the aviation industry and its stakeholders, suggesting that embracing digitalizationcan lead to more effective and efficient airport terminal management.

Lean Manufacturing Implementation in Developing Countries:Evidence from Jordanian Industrial Companies

In today's fiercely competitive landscape, industries are increasingly embracing lean manufacturing strategies for survival. However, the adoption of lean principles in Jordanian manufacturing sectors remains relatively new. This study aims to evaluate the current state of lean adoption in Jordanian industries, focusing on its techniques, motivations, and challenges. Employing a quantitative methodology, surveys targeted Production, Operation, and Quality Managers in Jordanian organizations. Out of 300 distributed questionnaires, 176 valid responses were received, representing a response rate of 58.7%. The findings indicate a relatively low adoption of lean practices in Jordanian industries, though firms that have implemented lean report significant benefits, particularly in quality enhancement and cost reduction. Key challenges include inadequate training, a scarcity of experts, and complexities in small batch production. While the study's sample size is limited, caution is warranted in interpreting the results. Further empirical research is needed to quantify the performance benefits of lean adoption. This study sheds light on lean adoption in Jordanian manufacturing, informing knowledge development and guiding future efforts to promote lean practices in the industrial landscape.

Logistic transportation role for sustainable ecotourism industry

Abstract Transportation plays a pivotal role in the industrial landscape, and the ecotourism sector, particularly sustainable ecotourism, is no exception. Sustainable ecotourism places emphasis on the responsible management of natural resources, aiming to foster comprehension, appreciation, and the conservation of both the environment and cultural heritage. The purpose of this research is to examine how the emergence of logistics transportation studies is driven by the transportation needs of island communities and tourists to increase sustainable ecotourism industry activities. Logistics transportation services that support ecotourism is a relatively new study of existing logistics resources in Indonesia. This study chooses sea transportation routes for the Karimunjawa Islands and Jepara. The logistics services for tourism transportation provided by the government and third parties pay little attention to sea transportation routes that pass-through conservation areas, namely the Panjang Island Conservation Area and Karimun Jawa National Park. Indeed, there has been a sea route provided, but several obstacles arose when passing through the conservation area. The establishment of novel transportation routes emerges as a viable solution for bolstering the sustainable ecotourism sector and addressing the transportation requisites of the local community. Additionally, these new transportation routes can yield positive outcomes for the safeguarding of conservation areas.

Effect of magnesium hydroxide on the properties of fireproof coatings for steel structure based on magnesium phosphate cement

Magnesium phosphate cement, renowned for its exceptional fire resistance, has been a key area of research in fireproof coatings for steel structures. This study introduces a significant amount of magnesium hydroxide to replace the dead-burned MgO in magnesium phosphate cement. The goal is to enhance fireproof performance by capitalizing on magnesium hydroxide's outstanding flame retardant and fire resistance properties. This paper primarily investigates the effects of substantial amounts of magnesium hydroxide on the compressive strength, dry density, and bonding strength of coatings and the quality, phase, and micro-morphology of coatings before and after flaming thermal shock. The findings indicate that when the substitution rate of magnesium hydroxide surpasses 50%, the coatings exhibit commendable performance characteristics. After a curing duration of 28 days, the coatings attain a compressive strength of 0.5MPa, a bonding strength exceeding 0.04MPa, and a dry density remaining below 650kg/m³. Furthermore, the coatings demonstrate remarkable resilience to thermal shock, maintaining structural integrity even under extreme flame thermal shocks exceeding 1000 °C, without any observable cracking or spalling. This noteworthy performance underscores the significant potential of this research in the industrial landscape.

Adapting the GPT engine for proactive customer insight extraction in product development

Understanding the perceptions of consumers is widely recognized as a critical element in the innovation of new products. Traditional techniques used by companies to collect essential consumer insights have largely remained unchanged. Common practices like interviews and surveys have distinct limitations. Interviews may not always capture the precise needs of consumers due to communication barriers, and surveys tend to encourage incremental changes rather than radical innovations. Service industries face further complexity as they navigate customer feedback on the more intangible aspects of service quality. This study highlights the pioneering use of GPT-3.5 Turbo, a tool known for its exceptional ability to delve into the nuances of conversational context and process data in a chat-centric manner, thereby enhancing the extraction of Voice of the Customer (VoC). Its capability to handle large volumes of data in multiple languages leads to a more thorough and inclusive VoC analysis. The study links these technological advancements with Lean Six Sigma 4.0, suggesting that incorporating GPT-3.5 Turbo could significantly improve the customer-focused strategies in the current industrial landscape. This breakthrough in VoC analysis suggests possibilities for more perceptive, immediate data-driven approaches in customer service, and lays a stronger groundwork for decisions in product evolution and process enhancement. The paper concludes by urging further investigation to confirm these initial results and to explore the ethical aspects of employing such advanced natural language processing technologies.

The impact of quality on reputation, supply, price, and booking intentions: A moderation analysis

This study investigates the role of property quality in shaping booking intentions within the dynamic landscape of the hospitality sector. A comprehensive approach, integrating qualitative and quantitative methodologies, is employed, utilising Airdna’s dataset spanning from July 2016 to June 2020. Multiple regression models, including interaction terms, are applied to scrutinise the moderating role of property quality. The study unveils unexpected findings, particularly a counterintuitive negative correlation between property quality and booking intentions in Model 7, challenging conventional assumptions. Theoretical implications call for a deeper exploration of contextual nuances and psychological intricacies influencing guest preferences, urging a re-evaluation of established models within hospitality management. On a practical note, the study emphasises the significance of continuous quality improvement and dynamic strategies aligned with evolving consumer expectations. The unexpected correlation prompts a shift towards more context-specific approaches in understanding and managing guest behavior, offering valuable insights for both academia and the ever-evolving landscape of the hospitality industry.