Industry Personnel Research Articles

“A calm space to reset”: perceptions of sensory rooms in Australian public buildings

PurposeSensory rooms are designed to support users to regulate their sensory systems and have historically been used as a therapeutic modality by autistic people and others in educational and healthcare facilities. Sensory rooms (also commonly known as reset rooms or quiet rooms) are increasingly being incorporated into public buildings, such as sporting stadiums, yet there is a lack of evidence supporting their use, design and management as a public facility. The purpose of this study was to explore the use of sensory rooms in Australian public buildings, identify factors influencing use, design and management and describe outcomes gained.Design/methodology/approachA mixed-methods approach was employed, and data were collected via online survey (n = 57) and semi-structured interviews (n = 4). Participants identified as autistic, neurodivergent, people with disabilities, carers and/or supporters and industry personnel.FindingsUsers reported that sensory rooms were beneficial for sensory and emotional regulation, extended their stay in public buildings and enabled community participation. However, challenges were noted in relation to design, the impact of the social environment and the unpredictability of design and equipment available. Industry personnel also perceived strong value in sensory rooms and highlighted challenges relating to safety, promotion and meeting the needs of multiple users.Originality/valueThis study contributes new empirical evidence supporting the inclusion of sensory rooms in public buildings. Findings offer guidance on how these facilities can be designed and managed to enhance usability and effectiveness.

Effect of Technology on Nationalization of the Oil Industry in South Sudan

Purpose: This paper looks at how technology helps in making nationalization policies work in different industries. Nationalization is when the government takes control of certain industries, like oil, mining, or transport. The study examines how digital platforms, big data, blockchain, and remote sensing tools assist in creating, sharing, and following these policies. While technology makes it easier, problems such as poor internet and low digital skills make it hard for some areas to benefit. Methodology: The study utilizes a descriptive design to explain how technology supports nationalization. Participants in the study include government officials, industry personnel, and persons affected by the nationalization policies. The participants were carefully selected by the researchers to ensure they had experience with nationalization. The information was collected through interviews, surveys, and document reviews. Data collected were analyzed using numbers (statistics) and themes (main ideas) to identify trends of importance. Results: From the research, it became evident that the industry would be aided significantly with the implementation of technology. More so, to be able to match the intricacies of lifting crude oil, it was pointed out that advanced tools and technology were of absolute necessity. Furthermore, the research suggested that the integration of state-of-the-art technologies would greatly help in lifting oil in South Sudan. As theorized, these technologies would provide significant value in improving core and overall efficiency. Unique Contribution to Theory, Practice, and Policy: The e-governance platform helps in the dissemination of policies, big data enhances monitoring, and blockchain enhances transparency. However, all these are out of reach for many people due to poor internet access and skill deficits in using them. The study recommends investing in better internet, training workers, and making policies that ensure technology is used to the benefit of all in nationalized industries.

Essential Qualifications for Safety Personnel in the Indian Construction Industry: Delphi Approach

Essential Qualifications for Safety Personnel in the Indian Construction Industry: Delphi Approach

Personnel retraining for tourism and recreation: Modern approaches and regional peculiarities

Subject. This article discusses the issues of improving the competitiveness of the tourism sector enterprises. Objectives. The article aims to analyze the advantages and disadvantages of the current system of training personnel for the tourism industry. Methods. For the study, we used a comparative analysis. Results. Based on the consideration of the legal aspects of instructor guides’ work and duties, the article proposes certain recommendations for the development of professional additional education in the field of tourism and recreation. Conclusions. The required number of qualified personnel is one of the components of the successful functioning of the tourism sector.

Vibration Characteristics in Ball Bearing due to Unbalanced Mass

Bearings are the critical element in an equipment, where rotary motions are mandate to full fill its operation. Condition at which the bearing fails to contribute its purpose, leads to system breakdown and hence a major setback in successful operation of the equipment. Monitoring and maintaining the continuous and uninterrupted operational condition of the bearing in a rotary system becomes primary task. Diagnosing and preventing the unexpected failure of bearing is a prime goal of the industrial personnel, for which they must have the information of the present working condition of the bearing. There are several ways to gauge the present working condition of the bearing, like knowing the vibrations, temperature and noise at the bearing, during its operation. In context with this, an experimental study is designed to simulate the actual shop floor condition to obtain the bearing vibration characteristics, influenced by the predefined parameters such as speed, mass and angular orientation of the mass with respect to shaft axis. The experimental study could be able to yield the bearing characteristic, operated under the combination of these parameters. The study supports the decision-making process in bearing failure analysis through vibration characteristics. Major Findings: The investigation is engrossed on finding the vibrational behavior of the ball bearing, subjected to combinations of speed, counter mass and angular position of the counter mass. The study enlightens on the supremacy of axial and tangential accelerations due to counter mass and its angular location from the shaft axis.

Optimizing employee satisfaction in India’s IT sector: a focus on employer branding

This study is motivated by the recognition of the pivotal role of employee satisfaction in the success of organizations within the IT sector. Through an examination of the impact of employer branding strategies on employee satisfaction, the research aims to reveal insights that can guide HR practices and organizational strategies to enhance overall employee well-being and retention rates. The primary objective of this paper is to investigate the relationship between employer branding and employee satisfaction among executive-level personnel in the IT industry within the Delhi-NCR region. Employing PLS-SEM for data analysis, the research includes a sample of 220 individuals employed in various IT companies within Delhi-NCR, selected using the simple random sampling method. Results from structural equation modelling analysis demonstrate a significant positive relationship between employer branding and job satisfaction among IT sector employees in Delhi-NCR. The findings emphasize the importance for companies to prioritize creating conducive environments for employee satisfaction, highlighting the significance of fostering an appealing workplace to promote employee satisfaction and retention. This outcome presents a novel perspective on how businesses can enhance employee performance. Insights such as these may assist academics and managers in improving employee satisfaction by elucidating the effective utilization of employer branding strategies.

Trapped Between Abuse and Fear: Navigating Turnover Intentions in the Garment Industry of Pakistan

The research focuses on understanding how abusive supervision affects employee turnover intentions in the Pakistani garment industry. It investigates how alternate job search and fear of underemployment act as intermediate factors that affect the relationship between supervisory mistreatment employee retention and workforce stability. The research investigates abusive supervision's effect on turnover intentions using quantitative data from the garment industry. Out of the 320, 267 were considered completed and valid for analysis, which gave 243 as the final sample size. This research reveals that abusive supervision is the essential cause of increasing garment industry personnel's intentions toward job changes. Fear of underemployment and job insecurity influence employees to stay even when they face unfavourable workplace conditions. Research results indicate the essential importance of developing measures to reduce abusive supervision practices in the garment production sector. Implementing work policy and ethical management development courses may result in lower staff departures and stronger employee job contentment. The study expands previous research by evaluating abusive supervision-turnover relationships in the Pakistani garment industry using the interactive effects of alternate job search and fear of underemployment. It delivers practical implications and theoretical foundations that address ethical workplace conduct while promoting industry sustainability.

Nurturing India’s indie voice: Challenges and recommendations for popular music education

India’s independent music scene is growing, yet formal popular music education struggles to prepare students for its unique challenges. This study explores the experiences of over forty Indian independent musicians, industry personnel and educators through interviews conducted between 2015 and 2023. Findings reveal systemic barriers in the industry, including inadequate organizational structures and compensation issues. However, opportunities are emerging in screen media and live events. The study identifies gaps in skills development, particularly in entrepreneurship and business acumen, and tensions exist between global and local perspectives in curriculum design. Recommendations include fostering stronger partnerships between formal institutions and local music scenes, implementing student-run enterprises and community-based projects to bridge theory and practice and developing more flexible, customized training programmes. These strategies aim to better equip students for the realities of portfolio careers in India’s evolving independent music landscape while nurturing a sustainable ecosystem for the sector.

Социалистическая реконструкция сельского хозяйства адыгского аула (1928–1932 гг.)

The article is devoted to the socialist modernization of the agricultural sector of the economy of Adygea (1928-1932). The relevance of the research is caused by the growing interest in the Stalin-ist period in Soviet history, which is linked by two historical facts: the history of the USSR as a world power, which was formed during the reign of I. Stalin and socialist modernization. It was during the first five-year plan that the model of the socialist economy and industrial personnel was defined, including in the national formations of the USSR. National republics and autono-mous regions have gone through a period of socialist modernization, considering the peculiarities of their historical, economic, and cultural development. Such a national autonomy was Adygea. A weak level of agricultural development and a lack of industry characterized the region. These facts had a significant impact on the content of collectivization conducted in the late 1920s and early 1930s. During the period of mass collectivization, there is not only a transformation of the agri-cultural sector of the region's economy, but also the formation of national personnel in demand in regional industry, agriculture, cultural and educational spheres. The study makes it possible to identify regional features and patterns of formation of collective forms of management in Adygea as one factor of socialist modernization. In the process of reforming the agriculture of the region, training of national personnel was organized, who became active participants in the socialist transformations. Local authorities used violent, administrative methods against the rural popula-tion of Adygea, but the extent of their use was not critical. The author's conclusion is based on ar-chival documents used in the article. We emphasize that we ascribe this fact to a specific locality, but we do not believe it is representative of the entire Soviet peasantry during the collectivization period.

Safety of Workers When Dealing with Machinery in Construction Project

Construction projects range from minor repairs to large-scale infrastructure developments and rely heavily on the handling of construction machinery, including excavators, bulldozers, cranes, loaders, and dump trucks. These machines increase efficiency, reduce manual labor, and ensure precise outcomes. However, the risks associated with construction activities necessitate stringent safety measures, underscored by the Occupational Safety and Health Act of 1994, enforced by the Department of Occupational Safety and Health (DOSH) to prioritize worker safety. This paper aims to identify the types of injuries resulting from machinery use, analyze current safety practices, and propose strategies for enhancing worker safety. Key findings reveal that cuts and lacerations are the most frequent injuries, while crushing injuries rank lowest. Furthermore, current safety measures emphasize the importance of providing appropriate personal protective equipment (PPE) for workers. The study highlights the need for clear safety protocols, signage, and designated safety zones to improve machinery handling, with training programs identified as a lower priority for enhancement. Data were gathered through a questionnaire survey distributed to construction personnel which is 28 respondents from G7 contractors in Shah Alam Selangor, including engineers and supervisors, and analyzed using the relative importance index and reliability analysis. The findings are intended to assist construction companies in addressing safety concerns and offer valuable insights for industry personnel and policymakers focused on improving safety practices in construction projects.

The impact of adolescent drinking on traumatic brain injury-induced cognitive deficits and alcohol preference inadult C57BL/6J mice.

Industrial workers and active military personnel within combat roles face heightened risk for blast pressure wave traumatic brain injury (bTBI). Previous studies have shown that experiencing TBI is associated with increased alcohol (EtOH) consumption and illicit substance use. Notably, alcohol use typically begins during late adolescence or early adulthood, a period that precedes many TBI incidents; moreover, early-onset drinking is further associated with heightened risk of developing an alcohol use disorder (AUD) even in the absence of TBI. Adolescent binge drinking can induce lasting cognitive and astrocyte changes, impacting brain recovery and repair. However, the impact of adolescent drinking history on behavioral recovery after bTBI and its role in the subsequent escalation of alcohol consumption remain unexplored. Here, we used a mouse model to investigate how adolescent (PND28-42) and young adult (PND60-90) EtOH consumption affects behavioral outcomes following bTBI. We aim to determine whether the history of adolescent binge drinking contributes to bTBI-induced escalation in EtOH intake, preference, or worsened fear memory and anxiety. Adolescent mice were subjected to drinking in the dark (DID) EtOH paradigm for 4 weeks, then randomly assigned to sham, mild-bTBI, or severe-bTBI. Behavioral testing was conducted, followed by a second DID. Both EtOH and bTBI independently induced hyperlocomotor activity in a sex-dependent manner. These findings reflect an increase in risk-taking rather than generalized anxiety. Importantly, a history of adolescent EtOH consumption synergistically worsened bTBI-induced impaired fear extinction in both sexes. Changes in EtOH preference post-bTBI are context-dependent, with male mice showing a significant decrease in preference following mild-bTBI and prior EtOH exposure, while females exhibited a trend toward increased preference post-bTBI, with significant increases in preference observed only when comparing pre- to post-bTBI drinking behavior. Both males and females exhibited vulnerability to the combined effects of adolescent EtOH consumption and bTBI on fear extinction, while female mice showed a unique vulnerability to the escalation in EtOH preference.

Emotional Labor and Job Performance of Ground Personnel in Thailand's Airline Industry

Background and Aims: In the airline industry, client satisfaction and service quality are critical, thus, understanding the impact of emotional labor on job performance is essential. While previous research has highlighted the importance of emotional labor, the specific effects of its dimensions - Surface Acting, Deep Acting, Emotional Consonance, and Suppression - on job performance remained underexplored. This study filled this gap by examining how these emotional labor strategies influence job performance among airline ground personnel. Methodology: This study utilized a cross-sectional quantitative research design, employing purposive sampling to gather data from 100 airline ground personnel. A validated and adapted questionnaire was used to measure the dimensions of emotional labor and job performance. Descriptive statistics, including means and standard deviations, were calculated, and Pearson correlation analysis was conducted to assess the relationships between emotional labor strategies and job performance. Results: The findings revealed high levels of Surface Acting (M = 4.03), Emotional Consonance (M = 4.04), and Suppression (M = 3.93), with moderate levels of Deep Acting (M = 2.81). Overall, job performance was rated positively (grand M = 4.07). Strong, significant correlations were observed between emotional labor and job performance, particularly for Deep Acting (r = .743, p < .001) and Suppression (r = .753, p < .001). These results suggested that employees who engage more frequently in these strategies tend to demonstrate higher job performance. Conclusions: The study underscores the critical role of emotional labor in the airline industry, demonstrating that specific emotional labor strategies are closely associated with enhanced job performance. For managers and policymakers, these findings highlight the importance of supporting employees in effectively managing their emotional labor to optimize job performance and overall service quality. The insights gained can inform targeted interventions and training programs aimed at improving employee satisfaction and performance.

Analysis of the China friendly program in Russia

The article analyzes the development process of the China Friendly program, which was launched in the Russian Federation to attract Chinese tourists and provide them with high-level services. In the context of strengthening friendly relations with China and developing the tourism industry, the program offers a number of measures aimed at improving the conditions and services for Chinese tourists in Russia. The China Friendly program provides for the creation of special service centers for Chinese tourists, training of personnel in the tourism industry in the Chinese language and cultural characteristics, facilitating the receipt of visas and the development of special tourist routes for Chinese visitors.

The future direction of ‘other persons’ in Korean maritime legislation : A historical and comparative legal analysis

ABSTRACT This paper explores the legal framework surrounding the classification of “other persons” aboard vessels under the Ship Safety Act, particularly in comparison to international maritime conventions such as SOLAS. The term “other persons” has been a source of ambiguity and safety concerns, especially following several maritime accidents, including the 2024 collision near Yeoseodo. In Korea, truck drivers and other non-crew individuals have been permitted to board vessels as “other persons,” often exceeding permissible limits, raising significant safety and regulatory issues. This research examines the inconsistencies between Korea’s Ship Safety Act and international standards, noting that other major maritime nations impose stricter limits and clearer definitions on non-passenger personnel. Recommendations include aligning domestic laws with international conventions by redefining “other persons” and enforcing a stricter cap on non-crew passengers to enhance safety. The paper also addresses the need for categorizing individuals boarding vessels into clearer groups – crew, passengers, industrial personnel, and specialized personnel – to ensure legal clarity and improve compliance with global maritime safety standards. Through a comparative legal analysis, the paper advocates for the adoption of international norms in Korea’s maritime regulations.

Developing an Intelligent Model for Construction Project Management Using Artificial Intelligence and Big Data Analysis to Improve Scheduling and Reduce Delays

Introduction: Traditional construction project management approaches have consistently struggled to address the key challenges of delays, budget overruns, and operational inefficiencies. These persistent issues highlight the need for more advanced methodologies. The integration of Artificial Intelligence (AI) with Big Data Analytics has emerged as a promising solution, aiming to improve scheduling accuracy, reduce delays, and enhance operational effectiveness in construction projects.Methods: A survey was conducted with 176 construction industry professionals, including project managers, engineers, and contractors, to assess the impact of AI and Big Data Analytics on construction project management. The survey focused on the use of AI-driven systems, including machine learning and predictive analytics, to improve project scheduling and delivery. Additionally, the application of Big Data Analytics in decision-making and risk assessment was explored.Results: The findings revealed that AI-powered systems, particularly those incorporating machine learning and predictive analytics, significantly outperform traditional construction management methods in terms of scheduling accuracy and delivery speed. Furthermore, the use of Big Data Analytics provided stakeholders with a deeper understanding of large datasets, facilitating more informed decisions and more accurate risk assessments. Quality execution and delivery were also found to be closely tied to effective communication and collaboration among teams and contractors, ensuring stakeholder satisfaction.Conclusions: This research demonstrates that AI and Big Data Analytics have the potential to transform construction project management by improving scheduling precision, reducing delays, and enhancing operational efficiency. The study underscores the importance of clear communication between teams and contractors to ensure the successful delivery of projects. While challenges related to infrastructure costs and ethical production remain, the integrated framework presented in this research provides valuable academic insights and practical solutions for stakeholders and project management personnel in the construction industry.

Assessment of Local Pharmaceutical Manufacturing Sector in a Low-income Country: A Descriptive Study.

In high-income countries and emerging economies, pharmaceutical manufacturing is a driver for socioeconomic development. In sub-Saharan Africa, local pharmaceutical production is still fledgling largely because of historical economic and technological asymmetry. In Ethiopia alike, this environment has changed little despite six decades long operations and several support initiatives; access to essential medicines remained a persistent challenge. Despite a few fragmented reports on trends and profiles of the sector, in-depth investigations into underlying challenges remain limited. This study explores the perspectives and insights of upfront executives and technical personnel in the Ethiopian pharmaceutical industry on its current state, challenges and opportunities for enhancing local production capacity. The findings are triangulated with literature reports and provide valuable insights for developing intervention strategies and policy updates. A validated structured survey questionnaire was disseminated to professionals working in local pharmaceutical companies. Multiple regression analysis was conducted to study the effects of different factors on the performance of the local manufacturing sector. Over half of the professionals (55.1%) rated the current production technology as advanced while 68% described it as semi-automated. Close to one-third (31.6%) reported that the companies are operating at acceptable level of performance, and 51.5% reported low-capacity utilization in their companies. Most professionals (67.8%) viewed export market activities as poor and many identified weak research and development activities. Unplanned operations downtimes, limited physical infrastructure, inadequate access to foreign currency, shortage and highstaff turnover of qualified experts, lack of commitment from top management, absence of merit-based support system and limitations in compliance with regulatory and quality requirements were reported as major challenges. Multiple linear regression analysis demonstrated that capacity utilization (α = 0.008), research and development capacity (α = 0.014) and export market activities (α = 0.027) have significant impact on the sector performance. Despite commendable efforts by the industry and government, limitations in financing, infrastructure, qualified workforce, and quality system implementation are affecting capacity utilization and performance. Absence of reliable staff attraction and retention system, lack of effective leadership and non-favourable working environment were identified as missing elements. Enhancing economies of scale and capacity utilization, addressing policy and infrastructure bottlenecks, providing merit-based support for R&D and quality management, and implementing staff attraction and retention strategies are key steps towards developing competent local pharmaceutical manufacturing sector.

Human Capital and the Upward Occupational Mobility of Rural Migrant Workers in China

Human Capital and the Upward Occupational Mobility of Rural Migrant Workers in China

Utilizing Artificial Neural Networks to Predict Stuck Pipe in Southern Iraq Oil Fields

Stuck pipe is one kind of downhole accident which characterized by high probability, complex handling difficulty, cost of manpower and material resources in drilling engineering. Historically, British petroleum company expenses money that related to stuck pipe events have overtaken 30 $ million annually, while other estimates suggest that industry-wide stuck pipe expenditures exceed 250 $ million annually. Most of the stuck pipe scenarios are ascribed to the sloughing and high-permeability shale formations, overpressured drilling fluid hydrostaticand depleted reservoirs. Artificial neural networks have been implemented in petroleum engineering over the last few years. In some situations, such models have outperformed models that utilize conventional statistical and regression analysis. The Artificial neural networks technique is especially effective in managing data with quality defects frequently encountered in drilling operations. Data was collected from 45 wells drilled in southern Iraq, and new models were developed using artificial neural networks to predict the occurrence of stuck pipe incidents. This study demonstrated the use of surface parameters, physical model calculations, and machine learning algorithms for the early detection of stuck pipe, which represents significant sources of non-productive time in drilling operations. Linking the drilling parameters during real-time drilling allows industry personnel to estimate the risks of stuck pipes and optimize the design of the drilling fluid based on the type of formation being drilled. The results indicated that incidents of stuck pipes were about 24 times more frequent in the shale formations compared to the gypsum and about twice as frequent as in the sand formations.

Research on the Integration of Triple Bottom Line Theory and Practice in Sustainable Supply Chain Management Within the Massage Chair Industry

In recent years, many manufacturing enterprises have recognized that sustainable supply chain management (SSCM) is a primary goal for contemporary enterprises. However, there's a gap between these studies and the actual operations of enterprises, leading to a biased understanding of the theory among industry personnel. Therefore, this study focuses on implementing enterprise SSCM practices. It uses a combination of quantitative and qualitative methods and applies various data analytics methods. The aim is to build a theoretical framework, provide evidence for enterprise decision-making, and raise management awareness. Empirical analysis shows that environmental and economic aspects are crucial for promoting SSCM implementation and are interdependent with social aspects. New aspects, resources, and innovation aspects are also proposed for considering SSCM implementation. The findings offer decision-making support for companies. This paper finds that regular environmental, social and governance(ESG) reporting can enhance their environmental, social, and economic performance and boost their global competitiveness

Artificial Intelligence in Metal–Organic Frameworks from 2013 to 2024: A Bibliometric Analysis

The purpose of this work is to analyze the development direction and prospects in the field of artificial intelligence (AI) in metal–organic frameworks (MOFs) and to provide reference information for related research and industry personnel. The scientific papers on AI in MOFs published in Web of Science database from 2013 to mid-2024 were collected. Bibliometric methods and knowledge mapping visualization software were used to analyze the papers. Both quantitative statistics and qualitative comparative analysis of global scientific papers were done in terms of annual paper trends, papers by major countries, authors, institutions, journals and research topics, respectively. The results showed that the number of published papers has increased in recent years. The top three productive countries are China, the USA and Germany, respectively. The top three productive institutions are Guangzhou University, Northwestern University and Chinese Academy of Sciences, respectively. Reference co-citation analysis classifies references into four clusters, and keyword co-occurrence analysis divides keywords into six clusters. Bibliometric and network analyses were utilized to examine the distribution of research outcomes, enabling scholars to discern the prevailing trends and focal points within the domain of AI-MOFs.