1,720,957 research outputs found
Sustainable procurement in the oil and gas industry: Challenges, Innovations, and Future Directions
Get PDFSustainable procurement has emerged as a critical oil and gas strategy amidst increasing global concerns over environmental impact and societal expectations. This paper explores the challenges, innovations, and future directions of sustainable procurement practices within the sector. Key challenges include economic feasibility, environmental impact mitigation, social responsibility, and navigating complex regulatory landscapes. Innovations such as technological advancements, process improvements, material innovations, and collaborative efforts are pivotal in overcoming these challenges and advancing sustainability goals. Case studies from leading companies demonstrate the successful implementation of sustainable procurement strategies, highlighting best practices and benchmarks for industry standards. Emerging trends include adopting circular economy principles, supply chain transparency, and integration of sustainability metrics in supplier evaluations. Benchmarking against global standards facilitates continuous improvement and accountability, ensuring alignment with environmental, social, and governance (ESG) criteria. Policy recommendations emphasize the need for regulatory enhancements and international cooperation to incentivize sustainable practices and harmonize standards across jurisdictions. A strategic framework for sustainable procurement is proposed, encompassing goal-setting, stakeholder engagement, innovation, and continuous improvement. Future research should focus on lifecycle analysis, circular economy solutions, social impact assessments, technological innovations, and policy effectiveness to address existing gaps and drive sustainable procurement innovation in the oil and gas industry.
Keywords: Sustainable Procurement, Oil And Gas Industry, Challenges, Innovations, Future Directions
Digital transformation in oil and gas production: Enhancing efficiency and reducing costs
Get PDFDigital transformation is reshaping the oil and gas industry, driving efficiency improvements and cost reductions across its operational landscape. This paper explores the profound impact of digital technologies such as automation, IoT, big data analytics, AI, and machine learning. These technologies optimize exploration, drilling, production, and maintenance processes by enabling real-time monitoring, predictive maintenance, and data-driven decision-making. Key benefits include enhanced operational efficiency through streamlined processes, reduced downtime, and optimized resource utilization. Digital twins and AI-driven analytics are pivotal in prolonging asset lifespan, improving safety protocols, minimizing operational risks, and enhancing overall productivity. Despite these advancements, legacy infrastructure, cybersecurity risks, and organizational resistance pose significant hurdles. However, overcoming these challenges presents opportunities for innovation and competitive advantage. Looking ahead, the future of digital transformation in oil and gas lies in emerging technologies like blockchain, AR/VR, and quantum computing, which promise to revolutionize industry practices further. Successful adoption of digital transformation strategies is crucial for companies that navigate market complexities, achieve sustainability goals, and maintain leadership in a rapidly evolving global landscape.
Keywords: Digital Transformation, Oil and Gas Industry, Automation, IOT, AI, Predictive Maintenance
Health, safety, and environmental (HSE) standards in industrial operations: A comprehensive review
Get PDFHealth, Safety, and Environmental (HSE) standards are indispensable in industrial operations, safeguarding workers, protecting the environment, and ensuring operational efficiency. This paper comprehensively reviews HSE standards, focusing on their historical evolution, key components, implementation challenges, and future directions. The historical evolution section traces the development of HSE standards, from early regulatory responses to industrial hazards to establishing integrated frameworks encompassing health, safety, and environmental considerations. Key components of HSE standards include health standards addressing occupational health risks, safety protocols emphasizing accident prevention and emergency response, and environmental standards regulating pollution control and waste management. Integrated HSE management systems promote synergy across these domains, enhancing operational resilience. Challenges in implementing HSE standards are multifaceted, ranging from regulatory compliance issues and technological barriers to organizational cultural and economic constraints. Overcoming these challenges requires concerted efforts to enhance regulatory frameworks, adopt innovative technologies, foster a safety culture, and balance economic considerations with HSE commitments. Future directions in HSE practices emphasize AI, IoT, and digitalization innovations to enhance real-time monitoring and predictive capabilities. Policy recommendations focus on strengthening regulatory frameworks and promoting proactive approaches to HSE governance. Organizational strategies highlight the role of leadership, employee engagement, and continuous improvement in fostering a culture of safety and environmental stewardship. In conclusion, advancing HSE standards is crucial for promoting sustainable industrial practices and ensuring the well-being of workers and the environment. Embracing these standards mitigates risks and enhances operational efficiency and corporate responsibility in a rapidly evolving global landscape.
Keywords: HSE Standards, Occupational Health, Safety Protocols, Environmental Protection, Regulatory Compliance
Strategic negotiation and contract management: Best practices for high-stakes projects
No full textEffective strategic negotiation and contract management are essential for the success of high-stakes projects, which involve significant investments, complex stakeholder dynamics, and substantial risks. This paper explores best practices in these areas, emphasizing the integration of negotiation and contract management, digital tools use, collaboration's importance, and commitment to continuous improvement. Integrating these processes ensures coherence and adaptability while leveraging technology enhances efficiency and transparency. Fostering a collaborative environment harnesses diverse expertise, leading to innovative solutions. Continuous improvement through feedback loops and training helps organizations learn from past projects and stay ahead of future challenges. The findings highlight the critical role of these strategies in mitigating risks, managing changes, and achieving project objectives. Practitioners are encouraged to adopt these practices to enhance project outcomes and build sustainable success in high-stakes projects.
Keywords: Strategic Negotiation, Contract Management, High-Stakes Projects, Collaboratio
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
AI-ENABLED CUSTOMER EXPERIENCE ENHANCEMENT IN BUSINESS
Get PDFThis scholarly investigation delves into the transformative impact of Artificial Intelligence (AI) on enhancing customer experience in the business realm. The study's purpose was to meticulously examine the integration, evolution, and strategic implications of AI in business operations, particularly in customer engagement. A comprehensive literature review and detailed case study analysis constituted the core methodology, focusing on peer-reviewed articles and practical examples from diverse business sectors. This approach facilitated a multi-dimensional exploration, capturing both the technological advancements in AI and the associated implementation challenges within various business contexts. Central findings from this research underscore AI's evolution from an emerging technological tool to a fundamental component in customer-centric business strategies. AI's capabilities in personalizing customer interactions, automating support systems, and leveraging predictive analytics have revolutionized business-customer dynamics. However, this evolution is not without its challenges, including data privacy concerns, ethical considerations, and the need for skilled AI expertise. The study concludes that AI is a strategic asset, necessitating thoughtful integration into business models. It emphasizes the importance of a collaborative approach, where AI specialists and industry experts work synergistically to tailor AI solutions to specific business needs. Ethical considerations and maintaining customer trust are highlighted as pivotal in AI deployment strategies. The study recommends continuous innovation, investment in AI infrastructure and talent, and adherence to ethical AI practices. These measures are essential for businesses to enhance customer experiences and drive sustainable growth in the digital age
Keywords: Artificial Intelligence, Customer Experience, Business Strategy, AI Integration, Ethical Considerations
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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