Holistic Insights Research Articles

Credibility-based knowledge graph embedding for identifying social brand advocates.

Brand advocates, characterized by their enthusiasm for promoting a brand without incentives, play a crucial role in driving positive word-of-mouth (WOM) and influencing potential customers. However, there is a notable lack of intelligent systems capable of accurately identifying online advocates based on their social interactions with brands. Knowledge Graphs (KGs) offer structured and factual representations of human knowledge, providing a potential solution to gain holistic insights into customer preferences and interactions with a brand. This study presents a novel framework that leverages KG construction and embedding techniques to identify brand advocates accurately. By harnessing the power of KGs, our framework enhances the accuracy and efficiency of identifying and understanding brand advocates, providing valuable insights into customer advocacy dynamics in the online realm. Moreover, we address the critical aspect of social credibility, which significantly influences the impact of advocacy efforts. Incorporating social credibility analysis into our framework allows businesses to identify and mitigate spammers, preserving authenticity and customer trust. To achieve this, we incorporate and extend DSpamOnto, a specialized ontology designed to identify social spam, with a focus on the social commerce domain. Additionally, we employ cutting-edge embedding techniques to map the KG into a low-dimensional vector space, enabling effective link prediction, clustering, and visualization. Through a rigorous evaluation process, we demonstrate the effectiveness and performance of our proposed framework, highlighting its potential to empower businesses in cultivating brand advocates and driving meaningful customer engagement strategies.

Barriers and facilitators of adherence to clinical practice guidelines in Germany-A systematic review.

Clinical Practice Guidelines (CPGs) represent evidence-based tools designed to assist healthcare practitioners and patients in decisions in clinical practice. Evidence supports the clinical benefits of adhering to CPGs. However, their successful implementation and adherence in clinical settings often encounter challenges. This systematic review aimed to explore barriers and facilitators influencing adherence to CPGs in Germany. The protocol of this study was registered in the Open Science Framework (OSF) registry (DOI: 10.17605/OSF. IO/GMFUB). In November 2022 we searched on PubMed and Embase for primary studies employing qualitative, quantitative and mixed-methods approaches that focus on barriers or facilitators to CPGs adherence in the Germany. Two reviewers independently screened articles, extracted data, and evaluated the quality of the studies. The collected data on barriers and facilitators of CPG adherence were systematically categorized and analyzed using the Theoretical Domains Framework (TDF). A total of 24 studies were included, mainly focusing on adherence to national CPGs. This review introduces a new domain, guideline characteristics, reflecting the need to address barriers and facilitators to CPG development, implementation, dissemination and format, which couldn't be encompassed within the existing 14 domains of TDF framework. Among healthcare professionals, the most frequently reported influencing factors were related to the environmental context and resources (encompassing aspects such as employer support for CPG utilization), the CPG development and dissemination process (including layout, wording, and interactive tools) and beliefs about consequences (such as contradictions with practical experience). Knowledge (knowledge about the content of CPGs, awareness about published CPGs), primarily as a barrier, and reinforcement facilitators (notably financial support), were also frequently reported. The findings revealed multilevel factors contributing to CPG adherence, with environmental context and resources emerging as the most frequently reported considerations. This systematic review offer holistic insights into the barriers and facilitators of CPG adherence in Germany. The results contribute to a better understanding of the topic and serve as a resource for developing targeted strategies to enhance CPG adherence and implementation within the German healthcare system.

The Role of Green Infrastructure in Providing Urban Ecosystem Services: Insights from a Bibliometric Perspective

Urban ecosystems, and the services they provide, are a key focus of the United Nations 2030 Agenda for Sustainable Development, specifically SDG 11, which emphasizes making cities inclusive, safe, resilient, and sustainable. Green infrastructure (GI) is crucial in enhancing citizens’ quality of life and achieving this goal and it can be defined as a strategically planned network of natural and semi-natural areas designed to deliver a range of ecosystem services (ESs). These infrastructures improve ecosystem functioning, protect biodiversity, promote health, support sustainable land and water management, and boost the local green economy. This paper explores the scientific literature on GI and their ESs in cities using bibliometric science. By combining the keywords “Green Infrastructures”, “Ecosystem Services”, and “Cities” with VOSviewer software (1.6.20 version), we analyzed trends over time. Results show growing attention to these topics, emphasizing human well-being, urban resilience, and sustainability. The study also highlights that focusing exclusively on either “Green Infrastructure in Cities” or “Ecosystem Services in Cities” leads to fragmented insights. A more integrated examination of these three domains offers a holistic view and underscores the importance of considering ecosystem disservices. The study further identifies key research directions, including the need for a comprehensive evaluation of diverse GI types, especially those that are under-researched, such as green roofs, sports areas, and wetlands, and the underexplored role of cultural ecosystem services. Additionally, future research should consider both the benefits and disservices of GI to support better urban planning decisions. Finally, integrating biophysical, social, and economic values of ESs is critical for providing more holistic insights and enhancing sustainable urban development. The novelty of this paper lies in its integrated, holistic approach to examining GI and ESs in urban areas, with a focus on ecosystem disservices, insufficient attention to specific GI types, and the role of cultural ecosystem services—each contributing to the creation of more resilient and sustainable cities.

A Qualitative Study on the Contemporary Perspectives and Experiences of Co-residence During COVID-19 Among “Boomeranging” Young Adults and Their Mothers in England

The “Boomerang Effect” (BE) is a contemporary phenomenon in England and wider Europe, referencing young adults who move out of their parents’ home to live independently but eventually return to live with their parents again. Despite concerns about residential independence and the intensification of BE due to the COVID-19 pandemic, there is limited qualitative data investigating it. This qualitative study utilizes diary methods to elicit the perspectives and experiences from six mother-young adult child dyads in England for 21 days to enable holistic and dynamic insights on the day-to-day exposures to the BE phenomenon. Findings resulted in several salient themes: (1) prime concerns shaping living arrangements, (2) framing of (participant) role, (3) conceptualization of [participant] identity, (4) nature of family relations, (5) depiction of independence, and (6) perceived situational input of Government. This work underscores the interdependent and complex relationship between structure and agency manifest in the BE context.

Impact of Regulatory Reforms on Business Transformation: A Study of Indian Industries

This study explores the intricate interplay between regulatory reforms and business transformation in the context of Indian industries. Specifically, the research delves into recent changes in taxation, labor laws, and corporate governance, aiming to discern their impact on organizational strategies, structures, and operations. Utilizing a mixed-methods approach, which involves qualitative analyses of regulatory shifts and quantitative assessments of business performance metrics, the study seeks to provide holistic insights. By examining sectoral variations and conducting in-depth interviews and case studies, this research contributes original knowledge to academic scholarship and imparts practical implications for businesses navigating dynamic regulatory landscapes. The anticipated findings aim to illuminate the adaptability and resilience of Indian industries, thereby advancing our understanding of the complex relationship between regulatory reforms and business transformation in this distinctive context.

Subtle changes in plant diversity in the Bavarian Alps over the past eight decades.

Historical resurveys represent a unique opportunity to analyze vegetation dynamics over longer timescales than is typically achievable. Leveraging the oldest historical dataset of vegetation change in the Bavarian Alps, Germany, we address how environmental conditions, vegetation composition, and functional diversity in the calcareous grasslands of the Schachen region have changed across different elevational ranges over an 83-year timeframe. We document changes in regional average temperature and precipitation. We use indicator values (IV) for species' ecological preferences and their palatability to grazers to infer local conditions (temperature, soil moisture/fertility, and grazing regime). We further estimate changes in temporal beta-diversity and functional trait community composition between historical (1936) and contemporary (2019) surveys in two elevational (subalpine and alpine) belts. Both subalpine and alpine sites became drier; subalpine sites also became warmer with more palatable plants. Species occurrence and abundance in the Schachen region has not changed substantially over time despite changing macroclimate and local environmental conditions under anthropogenic change. Yet these grasslands have experienced several "invisible" changes in functional composition over the past 80 years. As the Schachen has become drier, species with traits related to drought tolerance and animal-based dispersal have increased in dominance. Specifically, in alpine sites, community-weighted means revealed that with low fecundity, higher potential for endo- and epizoochory (seed dispersal via animal gut and fur, respectively), higher foliar frost tolerance, and deeper dormancy increased in dominance. Similar trends were found for increasing dominance of low fecundity, epizoochorous species in subalpine sites. Vegetation data from resurveying historical plots in combination with changes in local conditions, classic biodiversity indices, and functional trait indices can provide more holistic insights into changes in the environment and potential impacts of those environmental changes on long-term plant community and functional diversity.

Fishing Techniques by Fishermen in Pohon Batu Village, Waesama District, South Buru Regency

With its vast marine resource potential, Indonesia has a strategic fisheries sector needs development. However, most fishermen still live in poverty. Maintaining sustainable marine resources is crucial for a sustainable economy. Many factors, including catch and economic conditions, influence fishermen's income. In Maluku, the fisheries sector plays a vital role in the local economy, although there are challenges in increasing fishermen's income. Sustainable management and access to capital and technology are needed to improve fishermen's welfare. The potential of fisheries resources in Desa Pohon Batu requires further research for effective policy development. This study uses descriptive analytical methods to understand phenomena without making general conclusions. This approach allows for in-depth interpretation of collected data, providing holistic insights into the complexity of the phenomena under study. The combination of quantitative and qualitative methods yields a systematic and profound understanding of the relationships between variables and the narrative experiences of research participants. The study emphasizes the importance of understanding fishing methods and environmental awareness. Drift gillnets cause financial and ecological losses, while set gillnets improve operational efficiency. Fishermen's income is a critical factor in evaluating welfare, with most having low income due to minimal input production. This analysis is essential for developing policies supporting fishermen's welfare and economic resilience.

The serotonergic psychedelic N,N-dipropyltryptamine alters information-processing dynamics in in vitro cortical neural circuits

Abstract Most of the recent work in psychedelic neuroscience has been done using non-invasive neuroimaging, with data recorded from the brains of adult volunteers under the influence of a variety of drugs. While this data provides holistic insights into the effects of psychedelics on whole-brain dynamics, the effects of psychedelics on the meso-scale dynamics of neuronal circuits remains much less explored. Here, we report the effects of the serotonergic psychedelic N,N-diproptyltryptamine (DPT) on information-processing dynamics in a sample of in vitro organotypic cultures of cortical tissue from post-natal rats. Three hours of spontaneous activity were recorded: an hour of pre-drug control, and hour of exposure to 10 μM DPT solution, and a final hour of washout, once again under control conditions. We found that DPT reversibly alters information dynamics in multiple ways: first, the DPT condition was associated with higher entropy of spontaneous firing activity and reduced the amount of time information was stored in individual neurons. Second, DPT also reduced the reversibility of neural activity, increasing the entropy produced and suggesting a drive away from equilibrium. Third, DPT altered the structure of neuronal circuits, decreasing the overall information flow coming into each neuron, but increasing the number of weak connections, creating a dynamic that combines elements of integration and disintegration. Finally, DPT decreased the higher-order statistical synergy present in sets of three neurons. Collectively, these results paint a complex picture of how psychedelics regulate information processing in meso-scale neuronal networks in cortical tissue. Implications for existing hypotheses of psychedelic action, such as the Entropic Brain Hypothesis, are discussed.

Diversity-aware Population Models: Quantifying Associations between Socio-Spatial Factors and Cognitive Development in the ABCD Cohort.

Population-level analyses are inherently complex due to a myriad of latent confounding effects that underlie the interdisciplinary topics of research interest. Despite the mounting demand for generative population models, the limited generalizability to underrepresented groups hinders their widespread adoption in downstream applications. Interpretability and reliability are essential for clinicians and policymakers, while accuracy and precision are prioritized from an engineering standpoint. Thus, in domains such as population neuroscience, the challenge lies in determining a suitable approach to model population data effectively. Notably, the traditional strata-agnostic nature of existing methods in this field reveals a pertinent gap in quantitative techniques that directly capture major sources of population stratification. The emergence of population-scale cohorts, like the Adolescent Brain Cognitive DevelopmentSM (ABCD) Study, provides unparalleled opportunities to explore and characterize neurobehavioral and sociodemographic relationships comprehensively. We propose diversity-aware population modeling, a framework poised to standardize systematic incorporation of diverse attributes, structured with respect to intrinsic population stratification to obtain holistic insights. Here, we leverage Bayesian multilevel regression and poststratification, to elucidate inter-individual differences in the relationships between socioeconomic status (SES) and cognitive development. We constructed 14 varying-intercepts and varying-slopes models to investigate 3 cognitive phenotypes and 5 sociodemographic variables (SDV), across 17 US states and 5 race subgroups. SDVs exhibited systemic socio-spatial effects that served as fundamental drivers of variation in cognitive outcomes. Low SES was disproportionately associated with cognitive development among Black and Hispanic children, while high SES was a robust predictor of cognitive development only among White and Asian children, consistent with the minorities' diminished returns (MDRs) theory. Notably, adversity-susceptible subgroups demonstrated an expressive association with fluid cognition compared to crystallized cognition. Poststratification proved effective in correcting group attribution biases, particularly in Pennsylvania, highlighting sampling discrepancies in US states with the highest percentage of marginalized participants in the ABCD Study©. Our collective analyses underscore the inextricable link between race and geographic location within the US. We emphasize the importance of diversity-aware population models that consider the intersectional composition of society to derive precise and interpretable insights across applicable domains.

Mapping global value chain, production network, and commodity chain literature using scientometrics: an integrative resilient value chains model based on a review of the literature

PurposeGlobal value chains (GVCs) are facing unprecedented pressures arising from structural changes in the global economy and exogenous shocks including military conflicts and the aftermath of COVID-19. Considering the importance of value chain analysis in the current environment, the purpose of the study is to provide an up-to-date overarching global value chain literature review study that offers suggestions for research and practice to ensure resilient value and supply chains.Design/methodology/approachThe authors provide a comprehensive review of literature of the value chain, commodity chain and production network research based on a systems overview of 5,628 publications to identify the extent of research on vulnerabilities and resilience of value chains globally and gaps therein. To provide the systems overview, the authors use scientometric content co-occurrence analysis methods to analyze and identify gaps within the existing literature.FindingsBased on this overarching review of the literature, the authors identify gaps in the literature primarily related to the issue of unpreparedness of value chains to exogenous shocks. The authors suggest future research directions and propose an integrative model along with recommendations for restructuring value chains for resilience amidst exogenous shocks.Originality/valueThis study carries out an overarching study of interdisciplinary GVC literature in the age of geopolitical and societal challenges and is thus able to offer holistic insights and propositions for future research.

Data Laws Around the Globe – Insights, Frictions and Opportunities. Highlights from the African Data Protection Laws Conference in Accra, Ghana, 13-15 September 2022 and Comparative Data Law Conference in Munich, Germany, 7-8 December 2023

Abstract With sheer petabytes of data being transferred, re-used, and analysed daily on a global scale, data sharing ecosystems worldwide – bearing economic and societal benefits at the same time – have become hyper-complex. Lawmakers and enforcement agencies have to match the speed of the ‘moving target’ data-related regulation and cope with the challenge of not only sticking to a domestic view, but (by design) also take account of the international and comparative effects of their respective policies. Globally, we see processes of convergence and divergence alike. Taking it therefore a step further: Are we already on the verge of a truly Global Data Law or are competing legal regimes rather bound to exacerbate the geopolitical claims to digital sovereignty? This two-fold report presents the findings of two conferences which examined the issues arising from this question. The conferences featured distinguished experts from multi-disciplinary legal backgrounds on data policy and law. While the first conference in Accra, Ghana, was devoted to data protection architectures and cultures on the African continent, the second – in Munich, Germany – provided holistic insights into comparative research and highlighted the interdependencies of data (protection) law regimes worldwide.

Revolutionary Role of Stem Cell Therapy Coupled with Modern AI Based Technologies in Diabetes Management and Remission

Type 2 diabetes is a chronic metabolic disorder characterized by high blood sugar levels over a prolonged period. It is a significant global health issue, affecting millions of people worldwide. The traditional treatment for diabetes involves medication, lifestyle changes, and regular monitoring of blood sugar levels to decide on treatment modifications accordingly. However, recent advancements in modern technologies/techniques involving artificial intelligence (AI) and stem cell therapy have shown promising results in achieving excellent diabetes care outcomes and even remission, which was never conceivable a few decades ago. AI-driven interventions enable the development of tailored treatment plans, leveraging patient data to optimize glycaemic control and predict complications. Whole Body Digital Twin (WBDT) models provide holistic insights, facilitating significant rates of diabetes remission. Stem cell therapy when coupled with newer technologies has shown to be revolutionary towards this. Especially therapies targeting the mammalian Target of Rapamycin (mTOR) pathway show a great potential for regenerating damaged pancreatic beta cells and improving insulin production. However, challenges such as data privacy concerns with AI models utilising big data and ethical considerations in stem cell research persist; there is a need for regulatory norms towards this especially with the availability of these advanced treatment modalities, which would be the face of medical science in the coming years. For sure, combining AI and stem cell-based therapies present an innovative approach to enhance diabetes management, enabling the identification of suitable candidates for treatment and predicting treatment success. Diabetes was considered a lifelong disease that carried a huge burden of secondary organ complications over a period. This manuscript explores the potential of these innovative approaches in treating diabetes and discusses the scientific evidence supporting their utility.

To “talk the walk” or to “walk the talk”? Employer branding and HRM synergies in small and medium-sized hotels

PurposeSome firms excel at positively presenting their employer brand (talk), while others excel at effectively implementing human resource management (HRM) practices for the benefit of the employees (walk). Which approach is more effective? Focusing specifically on small and medium-sized hotels (SMHs), this study explores the relation of employer branding (EB) and HRM practices with organizational performance (OP).Design/methodology/approachStratified sampling was used to identify 34 top management figures (owners, CEOs, and top HR managers) from SMHs across Greece. These individuals agreed to participate in in-depth, semi-structured, one-on-one interviews, focusing on their hotels’ HRM, EB, and organizational performance. The interviews were subjected to content analysis, further coupled with graphical exploration of the relations between the concepts under study.FindingsThe findings reveal a noteworthy pattern: high-performing SMHs tend to prioritize EB, particularly leveraging social media channels. This prioritization is further reinforced by the implementation of HRM practices, including extensive training and rewards. Clustering SMHs into four different levels based on their application of EB and HRM practices and the effect of these practices on OP, enables us to extend this study and gain valuable insights into the interplay of these factors.Practical implicationsThis study highlights the need for practitioners to invest in HRM practices, especially in training and rewards, while giving due attention to EB, despite the potential resource limitations SMHs often face. Importantly, when basic levels of HRM are combined with high levels of EB, OP seems to be maximized.Originality/valueBoth HRM and EB deal with the employer – employee interaction, that’s why EB in most companies is the responsibility of the HRM department. Surprisingly, academic research has treated them as distinct fields, in isolation, ignoring their combined effects. This paper is the first to conceptualize EB as communication (“talk”) and HRM as practice (“walk”) and to thus propose that a complementarity relationship between these two dynamics may facilitate OP. Additionally, this study is the first to combine content analysis with a quantitative exploration to gain more holistic and valuable insights on the topic.

Predicting PM2.5 concentration with enhanced state-trend awareness and uncertainty analysis using bagging and LSTM neural networks.

Monitoring air pollutants, particularly PM2.5, which refers to fine particulate matter with a diameter of 2.5µm or smaller, has become a focal point of environmental protection efforts worldwide. This study introduces the concept of state-trend awareness, which is widely employed in big data analytics to enhance global threat identification, understanding, and response capabilities. We applied this approach to the prediction of PM2.5, utilizing its capacity to provide holistic insights and support decisions in dynamic environments. We conducted in-depth analyses of extensive historical data to forecast the future concentration trends. By combining a long short-term memory (LSTM) neural network with a bagging ensemble learning algorithm, our developed model demonstrated superior accuracy and generalization compared to those of traditional LSTM and support vector machine (SVM) methods, reducing errors relative to SVM-LSTM by 12%. We further introduced interval prediction to address forecasting uncertainties, not only providing a specific PM2.5 but also forecasting the probability ranges of its variations. The simulation results illustrate the effectiveness of our approach in improving the prediction accuracy, enhancing model generalization, and reducing overfitting, thereby offering a robust analytical tool for environmental monitoring and public health decision-making.

Enhancing social enterprise coffee marketability through sensory packaging: consumer impressions, willingness to buy, and gender differences

PurposeThis study investigates how consumers perceive the packaging of Philippine coffee social enterprise products and how this impression affects their willingness to purchase based on sensory expectations, brand attitude, product quality perception, and price perception.Design/methodology/approachFollowing a positivist research philosophy, this study used empirical methods, surveying 263 coffee consumers. The coffee packaging prototypes varied across material and graphic designs. The data was analyzed statistically using the Friedman test and Spearman correlation.FindingsIt was found that packaging elements elicit an equal share of emotional responses. Graphics have a greater impact than materials. Females are more affected by visuals, while materials influence males more. Further, packaging design correlates positively and significantly with consumer impressions and willingness to buy.Research limitations/implicationsThe sampling methodology limits generalizability. Future studies can use integrated models to analyze the effects of additional packaging variables like color and shape.Practical implicationsCoffee enterprises should focus on graphic rather than material elements. Paper packs with patterned graphics are most attractive to consumers. Targeted gender-sensitive packaging designs are needed. Standardized packaging can help build the Philippine coffee social enterprise industry and support small-scale farmer livelihoods. Environmentally sustainable materials should be prioritized.Social implicationsThe findings contribute to the success and growth of small-scale farmers and social enterprises in the Philippines. These businesses can attract more consumers, increase their market share, and ultimately generate more significant social impact by implementing packaging design strategies that effectively communicate product quality, sustainability, and social value.Originality/valueThe study uniquely integrates diverse methods to provide holistic insights into jointly analyzing the effects of packaging materials and graphics. It proposes an expanded conceptual role of packaging in shaping product perceptions using the affective response framework and Kansei approach.

CRITICAL REFLECTIONS ON HUMAN DEVELOPMENT IN HARYANA

The emphasis on GDP per capita has been long cross examined as the sole measure of development. Does this parameter offers holistic insights about the distributional efficiency and welfare assessment at all levels? Considering it, the paper tries to interpret HDI ‘with caution’ and gauge into the trickle-down effect of development process in general with special reference to Haryana while analysing attainment and deprivation dimensions in particular.

Conceptualisation and Implementation of a Competency-based Multidisciplinary Course for Medical Students in Neurosurgery.

The field of medicine is quickly evolving and becoming increasingly more multidisciplinary and technologically demanding. Medical education, however, does not yet adequately reflect these developments and new challenges, which calls for a reform in the way aspiring medical professionals are taught and prepared for the workplace. The present article presents an attempt to address this shortcoming in the form of a newly conceptualized course for medical students with a focus on the current demands and trends in modern neurosurgery. Competency-based education is introduced as a conceptual framework comprising academic and operational competence as well as life-world becoming. This framework provides a sound educational foundation for future medical professionals, equipping them with the knowledge as well as skills needed to successfully navigate the medical field in the current day and age. Three competencies are identified that are central to day-to-day medical practice, namely digitalization, multidisciplinarity, and the impact of recent developments on the changing patient-practitioner relationship. These competencies are relevant for all medical disciplines, but are demonstrated here in a neurosurgical context and visualized using a real patient's case study. Students follow this sample patient's way through each step of the neurosurgical workflow, from planning to performing the procedure, and can see for themselves the importance and application of the aforementioned competencies based on this real-world example. Courses such as the one presented here may prepare medical students more adequately for their future work by combining theoretical and practical skills and critical reflection, thereby providing holistic and practical insights as well as a conceptual framework for their future careers.

Greening container terminals: An innovative and cost-effective solution for sustainable reefer container storage

This research addresses the critical necessity for energy-efficient solutions in port operations. The primary objective of this paper is to introduce and assess the viability of an innovative infrastructure termed Underground Reefer Container Storage (URCS) devised to mitigate the significant and increasing energy demand posed by reefer containers in ports. This study employs a discrete-event simulation (DES) model to evaluate the feasibility, environmental implications, and cost-effectiveness of three distinctive URCS infrastructure designs. These designs are compared against conventional storage methods to ascertain their capacity for minimizing energy usage and greenhouse gas emissions. The analysis reveals that the best scenario for a specific case study involves a multi-block layout comprising two underground yards, capable of accommodating 39% of the overall refrigerated container capacity at a port. This layout cuts CO2 emissions by 61% from the 2.704 GWh/year energy used by refrigerated containers, yielding around 1.4 million USD/year cost savings. Further analyses using weighted searches to prioritize URCS container slotting led to shorter container dwell times at ports, rendering energy savings 23% higher than in similar unplanned settings. Moreover, this study presents URCS as an eco-friendly alternative for port-based reefer container storage, offering practical alignment with sustainability goals and regulations. The innovative design and its successful application provide holistic insights, paving the way for enhanced port energy management and environmental care. In addition, the implementation of URCS has the potential to reshape port procedures, yielding economic and ecological benefits. This initiative contributes to diminishing the carbon footprint of ports, aligning with global endeavors towards greener and more responsible practices.

The Impact of Groupthink, Group Cohesiveness, and Bounded Rationality on the Quality of Decision Making: A Systematic Literature Review

This research conducted a systematic literature review of the impact of groupthink, group cohesiveness, and bounded rationality on group decision making. Through a systematic analysis method of relevant literature, the research results reveal that the interaction between these three factors significantly influences the quality of the group decision-making process. The novelty of this research lies in the integration of these three factors in one conceptual framework, providing holistic insights that can be the basis for developing more effective strategies in improving the quality of group decision making. The contribution of this research is important in the social psychology and group decision-making literature, highlighting practical implications for improving decision-making processes in group contexts.

Technological innovations and optimized work methods in subsea maintenance and production

Subsea maintenance and production represent critical aspects of offshore operations, vital for sustaining energy production and ensuring operational efficiency. However, these endeavors face numerous challenges, including the complexities of deepwater environments, harsh weather conditions, and the high costs associated with traditional maintenance methods. To address these challenges, this paper explores the integration of technological innovations and optimized work methods in subsea operations. Technological innovations play a pivotal role in revolutionizing subsea maintenance and production. Remote monitoring and control systems enable real-time data collection and decision-making, enhancing operational visibility and efficiency. Autonomous underwater vehicles (AUVs) offer the capability to conduct inspections and repairs in remote and hazardous environments, reducing human intervention and associated risks. Robotics and automation further streamline maintenance tasks, improving accuracy and reducing downtime. Advanced materials and coatings enhance equipment durability and corrosion resistance, prolonging asset lifecycles and reducing maintenance requirements. In parallel, optimized work methods offer strategic approaches to enhance subsea operations' effectiveness. Predictive maintenance strategies leverage data analytics and machine learning to anticipate equipment failures, enabling proactive interventions and minimizing downtime. Condition-based monitoring facilitates real-time assessment of asset health, enabling timely maintenance interventions and cost savings. Integrated asset management systems provide holistic insights into asset performance and facilitate informed decision-making. Lean operations and continuous improvement methodologies further optimize workflows, driving operational excellence and cost efficiency. Through case studies and industry examples, this paper highlights the successful implementation of technological innovations and optimized work methods in subsea maintenance and production. Furthermore, it explores future trends, regulatory considerations, and the importance of industry collaborations in shaping the future of subsea operations. Ultimately, the integration of these approaches offers a pathway towards enhanced operational efficiency, reduced costs, and sustainable subsea operations. Keywords: Technological Innovations, Optimized Work Methods, Subsea Maintenance and Production.