Relevant bibliographies by topics / Competitive technical intelligence

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Competitive technical intelligence'

Author: Grafiati
Published: 4 June 2021
Last updated: 3 February 2022

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Journal articles on the topic "Competitive technical intelligence"

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Ifan, Hadi-Kusuma, Jean-Marie Dou, Sri Manullang, and Henri Dou. "Developing competitive technical intelligence in Indonesia." Technovation 24, no. 12 (2004): 995–99. http://dx.doi.org/10.1016/s0166-4972(03)00069-5.

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Zhang, Yi, Douglas K. R. Robinson, Alan L. Porter, Donghua Zhu, Guangquan Zhang, and Jie Lu. "Technology roadmapping for competitive technical intelligence." Technological Forecasting and Social Change 110 (September 2016): 175–86. http://dx.doi.org/10.1016/j.techfore.2015.11.029.

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Hrol, Thomas F., James C. Coleman, and Patrick J. Bryant. "Competitive technical intelligence and commercial decision making." Competitive Intelligence Review 7, no. 1 (1996): 28–37. http://dx.doi.org/10.1002/cir.3880070108.

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Moloi, Relebohile, and Tiko Iyamu. "Competitive Intelligence in the Enterprise." International Journal of Actor-Network Theory and Technological Innovation 5, no. 2 (2013): 50–64. http://dx.doi.org/10.4018/jantti.2013040104.

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Due to increasing challenges, as well as competitiveness, many organisations have sought advantaging and beneficiary techniques and options. One of those options is through Competitive Intelligence (CI) products, which some organisations have come to rely upon for sustainability and competitive advantage. Unfortunately, and to some degree, fortunately, there are different CI products which organisations could choose from. The products are supposed to be selected and deployed based on organizational requirements from both technical and business perspectives. Some organisations deploy more than one competitive intelligence product. Others are not guided, and do not understand the essence of the deployment, regarding achieving the organisational objectives. The fortunate and unfortunate situations which occur in the deployment of CI products in organisations are drawn from relationships amongst stakeholders in the selection and implementation processes. The relationships are manifested from control of sources which use the power for decision making. The relationships emanate from the fact that there are no proper comparisons of the products, driven by requirements. As a result, the organisations are faced and challenged with duplication and waste of resources. They struggle to determine their competitive advantage. This situation further manifests the complexity of technical and business artefacts. Case study research was conducted to understand how CI products are deployed in the organisation. A sociotechnical theory, actor-network theory was employed in the analysis of the data, primarily to examine and understand how control of resources for power defined and shaped relationships.
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Das, Subir Ranjan. "Competitive Technical Intelligence Tools for Innovation and Technology Forecasting." Asia Pacific Business Review 6, no. 2 (2010): 30–40. http://dx.doi.org/10.1177/097324701000600203.

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Dou, H., V. Leveillé, S. Manullang, and JM Dou Jr. "Patent analysis for competitive technical intelligence and innovative thinking." Data Science Journal 4 (2005): 209–36. http://dx.doi.org/10.2481/dsj.4.209.

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TAKAHASHI, Fumiyuki, and Yoshio SUGASAWA. "Competitive Technical Intelligence in an Era of Open Innovation." INTELLIGENCE MANAGEMENT 1, no. 1 (2009): 47–54. http://dx.doi.org/10.9764/jsciim.1.47.

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Bryant, Patrick J., John Chu, Jan Herring, and Jay Young. "Starting a competitive technical intelligence function: A roundtable discussion." Competitive Intelligence Review 9, no. 2 (1998): 26–33. http://dx.doi.org/10.1002/(sici)1520-6386(199804/06)9:2<26::aid-cir6>3.0.co;2-#.

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Huang, Ke Wang. "Design of a New Intelligence Support System." Applied Mechanics and Materials 336-338 (July 2013): 2040–43. http://dx.doi.org/10.4028/www.scientific.net/amm.336-338.2040.

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This paper focuses on the design of a professional operation model of search engine. It is a new intelligence support system and it is a professional real-time system. It can be used to routine analysis and advanced analysis. It provides professional and technical report on intelligence and competitive intelligence. It can satisfy the user fully professional information needs.
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George, Amrita, Kurt Schmitz, and Veda C. Storey. "A Framework for Building Mature Business Intelligence and Analytics in Organizations." Journal of Database Management 31, no. 3 (2020): 14–39. http://dx.doi.org/10.4018/jdm.2020070102.

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As activities are increasingly being digitalized in business and society, organizations have sought ways to effectively and competitively, use data. Business intelligence and analytics (BI&amp;A) systems which support managerial decision-making continue to be developed and used. Given the importance of these systems, it would be useful to have a comprehensive and mature guide to support their development and improvement. This research proposes a BI&amp;A Competitive Advantage Maturity Model to identify the main technical and non-technical dimensions of a system to support business intelligence and analysis. The model is based on work systems theory and related research. It maps descriptive characteristics of its main dimensions across analytic adoption stages of aspirational, experienced, and transformed. The development of the model employed a modified Delphi study technique, design science research, and citation analysis.
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Dissertations / Theses on the topic "Competitive technical intelligence"

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Kongthon, Alisa. "A text mining framework for discovering technological intelligence to support science and technology management." Diss., Available online, Georgia Institute of Technology, 2004:, 2004. http://etd.gatech.edu/theses/available/etd-04052004-162415/unrestricted/kongthon%5Falisa%5F200405%5Fphd.pdf.

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Thesis (Ph. D.)--Industrial and Systems Engineering, Georgia Institute of Technology, 2004.<br>Zhu, Donghua, Committee Member ; Cozzens, Susan, Committee Member ; Huo, Xiaoming, Committee Member ; Porter, Alan, Committee Chair ; Lu, Jye-Chyi, Committee Member. Vita. Includes bibliographical references (leaves 191-195).
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Donthová, Veronika. "Konkurenční zpravodajství firmy." Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2008. http://www.nusl.cz/ntk/nusl-376776.

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This diploma work analyses existing competitive intelligence of the firm. Contains analysis of competitive intelligence awareness and its utilization like competitive advantage in Czech consulting companies. The work includes proposal for competitive intelligence strategy or recommendation and complementation of existing strategy.
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Guénec, Nadège. "Méthodologies pour la création de connaissances relatives au marché chinois dans une démarche d'Intelligence Économique : application dans le domaine des biotechnologies agricoles." Phd thesis, Université Paris-Est, 2009. http://tel.archives-ouvertes.fr/tel-00554743.

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Le décloisonnement des économies et l'accélération mondiale des échanges commerciaux ont, en une décennie à peine, transformés l'environnement concurrentiel des entreprises. La zone d'activités s'est élargie en ouvrant des nouveaux marchés à potentiels très attrayants. Ainsi en est-il des BRIC (Brésil, Russie, Inde et Chine). De ces quatre pays, impressionnants par la superficie, la population et le potentiel économique qu'ils représentent, la Chine est le moins accessible et le plus hermétique à notre compréhension de par un système linguistique distinct des langues indo-européennes d'une part et du fait d'une culture et d'un système de pensée aux antipodes de ceux de l'occident d'autre part. Pourtant, pour une entreprise de taille internationale, qui souhaite étendre son influence ou simplement conserver sa position sur son propre marché, il est aujourd'hui absolument indispensable d'être présent sur le marché chinois. Comment une entreprise occidentale aborde-t-elle un marché qui de par son altérité, apparaît tout d'abord comme complexe et foncièrement énigmatique ? Six années d'observation en Chine, nous ont permis de constater les écueils dans l'accès à l'information concernant le marché chinois. Comme sur de nombreux marchés extérieurs, nos entreprises sont soumises à des déstabilisations parfois inimaginables. L'incapacité à " lire " la Chine et à comprendre les enjeux qui s'y déroulent malgré des effets soutenus, les erreurs tactiques qui découlent d'une mauvaise appréciation du marché ou d'une compréhension biaisée des jeux d'acteurs nous ont incités à réfléchir à une méthodologie de décryptage plus fine de l'environnement d'affaire qui puisse offrir aux entreprises françaises une approche de la Chine en tant que marché. Les méthodes de l'Intelligence Economique (IE) se sont alors imposées comme étant les plus propices pour plusieurs raisons : le but de l'IE est de trouver l'action juste à mener, la spécificité du contexte dans lequel évolue l'organisation est prise en compte et l'analyse se fait en temps réel. Si une approche culturelle est faite d'interactions humaines et de subtilités, une approche " marché " est dorénavant possible par le traitement automatique de l'information et de la modélisation qui s'en suit. En effet, dans toute démarche d'Intelligence Economique accompagnant l'implantation d'une activité à l'étranger, une grande part de l'information à portée stratégique vient de l'analyse du jeu des acteurs opérants dans le même secteur d'activité. Une telle automatisation de la création de connaissance constitue, en sus de l'approche humaine " sur le terrain ", une réelle valeur ajoutée pour la compréhension des interactions entre les acteurs car elle apporte un ensemble de connaissances qui, prenant en compte des entités plus larges, revêtent un caractère global, insaisissable par ailleurs. La Chine ayant fortement développé les technologies liées à l'économie de la connaissance, il est dorénavant possible d'explorer les sources d'information scientifiques et techniques chinoises. Nous sommes en outre convaincus que l'information chinoise prendra au fil du temps une importance de plus en plus cruciale. Il devient donc urgent pour les organisations de se doter de dispositifs permettant non seulement d'accéder à cette information mais également d'être en mesure de traiter les masses d'informations issues de ces sources. Notre travail consiste principalement à adapter les outils et méthodes issues de la recherche française à l'analyse de l'information chinoise en vue de la création de connaissances élaborées. L'outil MATHEO, apportera par des traitements bibliométriques une vision mondiale de la stratégie chinoise. TETRALOGIE, outil dédié au data-mining, sera adapté à l'environnement linguistique et structurel des bases de données scientifiques chinoises. En outre, nous participons au développement d'un outil d'information retreival (MEVA) qui intègre les données récentes des sciences cognitives et oeuvrons à son application dans la recherche de l'information chinoise, pertinente et adéquate. Cette thèse étant réalisée dans le cadre d'un contrat CIFRE avec le Groupe Limagrain, une application contextualisée de notre démarche sera mise en œuvre dans le domaine des biotechnologies agricoles et plus particulièrement autour des enjeux actuels de la recherche sur les techniques d'hybridation du blé. L'analyse de ce secteur de pointe, qui est à la fois une domaine de recherche fondamentale, expérimentale et appliquée donne actuellement lieu à des prises de brevets et à la mise sur le marché de produits commerciaux et représente donc une thématique très actuelle. La Chine est-elle réellement, comme nous le supposons, un nouveau territoire mondial de la recherche scientifique du 21e siècle ? Les méthodes de l'IE peuvent-elles s'adapter au marché chinois ? Après avoir fourni les éléments de réponses à ces questions dans es deux premières parties de notre étude, nous poserons en troisième partie, le contexte des biotechnologies agricoles et les enjeux mondiaux en terme de puissance économico-financière mais également géopolitique de la recherche sur l'hybridation du blé. Puis nous verrons en dernière partie comment mettre en œuvre une recherche d'information sur le marché chinois ainsi que l'intérêt majeur en terme de valeur ajoutée que représente l'analyse de l'information chinoise
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Books on the topic "Competitive technical intelligence"

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Coburn, Mathias M. Competitive technical intelligence: A guide to design, analysis, and action. 2nd ed. OXxford University Press, 2004.

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Competitive technical intelligence: A guide to design, analysis, and action. American Chemical Society, 1999.

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Coburn, Mathias M. Competitive Technical Intelligence: A Guide to Design, Analysis, and Action (ACS Professional Reference Books). An American Chemical Society Publication, 1999.

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Yusof, Ab Aziz. The human side of human resource management. UUM Press, 2014. http://dx.doi.org/10.32890/9789670474922.

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Human resource is the most valuable asset in an organization as it is managed, operated and run by them.The progress, survival and success of the organization is totally depends on the capabilities and the competitiveness of their HR especially in the era of critical and drastic change.As a result, HR manager has to face a more competitive, uncertain and complex HR expectations, needs and wants in a turbulent business environment.Therefore, his ability in managing HR is becoming more crucial to the success and the survival of the organisation. As HR manager is the key player in running the organisation, it is important for him to ensure a holistic and comprehensive approach, by putting in balance both the human side which is considered as soft HRM and the technical side which is considered as hard HRM, need to be simultaneously taken into consideration.Therefore, managing the human side of human resourceculture, symbols, diversity, humour, emotional intelligence, justice, forgiveness, and spiritualityis believed to be far more complicated than managing the technical side of it. The human side of human resource management treats employees as partners and a source of competitive advantage through their commitment, trust, job satisfaction, loyalty and collaboration.Furthermore, HR is viewed as a proactive rather than passive inputs in executing the task and responsibility.The managers ability in managing the human side of human resource strategically is equally important as managing the technical side as both play significant role in influencing the bottom line of the organisation through their symbiotic relationship.
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Hetmank, Sven, and Constantin Rechenberg, eds. Kommunikation, Kreation und Innovation - Recht im Umbruch? Nomos Verlagsgesellschaft mbH & Co. KG, 2019. http://dx.doi.org/10.5771/9783748901099.

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The conference transcript deals with current challenges facing the legal fields of intellectual property, media, competition and data protection law, primarily due to technical developments and the resulting changes in legislation. Examples of this are artificial intelligence systems that call into question essential principles of current patent and copyright law. However, it also deals with questions concerning the legal classification of search engines, social bots and other internet intermediaries, as well as questions of the data protection requirements for bloggers, street photographers and credit scoring, which need to be clarified in particular by the new General Data Protection Regulation. The book also focuses on the regulatory options for "Industry 4.0" data markets and the new directive on copyright in the digital single market. With contributions by Stefan Papastefanou, David Linke, Katrin Giere und Dorothea Heilmann, Azim Semizoglu, Hanno Magnus, Jens Milker, Stefan Michel, Katharina Wunner, André Reinelt, David Kleß, Tobias Endrich-Laimböck, Justus Duhnkrack, Susan Bischoff
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Nowak, Dariusz, ed. Production–operation management. The chosen aspects. Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu, 2021. http://dx.doi.org/10.18559/978-83-8211-059-3.

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The aim of the e-book is to present the theoretical, cognitive and practical aspects of the essence and complexity of operational management in a production company. The presented modern production methods together with the challenges and problems of contemporary enterprises should better help to understand the issues of sustainable development, with particular emphasis on waste. The book consists of six chapters devoted to relevant and topic issues relating to the core business of an industrial enterprise. Chapter 1 The nature of the industrial enterprise is an introduction to further considerations and deals with the essence of the basic aspects of the company. Both popular and less known definitions of an enterprise, its features, functions and principles of operation are presented. An important part of the chapter is the presentation and formulation of strategic, tactical and operational goals. Moreover, the division of enterprises is presented with the use of various criteria and the features of the industrial market, which make it distinct. Chapter 2 The operational management evolution and its role in the industrial enterprise discusses the evolution and concept of production and operational management. The management levels were also presented, indicating their most important functions. An integral part of the chapter is the essence of the production system, viewed through the prism of the five elements. Chapter 3 Functions and role in operations management presents the issues concerning the organization of production processes, production capacity and inventory management. This part also presents considerations on cooperation and collaboration between enterprises in the process of creating value. Chapter 4 Traditional methods used in operational activities focuses on methods such as benchmarking, outsourcing, core competences, JIT, MPR I and MRP II, as well as TQM and kaizen. Knowledge of these methods should contribute to understanding the activities of modern enterprises, the way of company functioning, the realization of production activities, as well as aspects related to building a competitive position. Chapter 5 Modern methods used in production-operations management discusses the less common and less frequently used production methods, based on a modern and innovative approach. In particular, it was focused on: Shop Floor Control and cooperative manufacturing, environment-conscious manufacturing (ECM) and life-cycle assessment ( LCA), waste management and recycling, Electronic Data Interchange (EDI), virtual enterprise, World Class Manufacturing (WCM), Quality Function Deployment (QFD) and House of Quality (HOQ), theory of constraints (TOC), Drum Buffer Rope (DBR), group technology (GT) and cellular manufacturing (CM), Demand Chain Management and competitive intelligence (CI). In the last section discusses: the role of sustainable statistical process control and Computer-Aided Process Planning in context formatting of information management. Chapter 6 Problems of sustainable development and challenges related to production and operations management describes the problem and challenges related to production and operations activities. In particular, attention was paid to the threats related to changes in global warming, the growing scale of waste, or the processes of globalization. It was pointed out that the emerging problem may be both a threat and a chance for the development of enterprises. An integral part of the chapter are also considerations on technical progress, innovation and the importance of human capital in operational activities.
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Book chapters on the topic "Competitive technical intelligence"

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Paoli-Scarbonchi, Elisabeth, and Nadège Guenec. "Contribution of Cognitive Sciences to Document Indexing in Scientific, Technical, and Economic Watch for Competitive Intelligence." In Competitive Intelligence and Decision Problems. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118586419.ch10.

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Huang, Ying, Yi Zhang, Jing Ma, Alan L. Porter, Xuefeng Wang, and Ying Guo. "Generating Competitive Technical Intelligence Using Topical Analysis, Patent Citation Analysis, and Term Clumping Analysis." In Innovation, Technology, and Knowledge Management. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-39056-7_9.

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Rodrigues, Leonel Cezar. "Technical Competitive Intelligence System." In Service Science Research, Strategy and Innovation. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0077-5.ch013.

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The recent skyrocketing costs of innovation have become a severe limiting factor for companies’ internal development of innovation. Open innovation comes as a sounding solution to investments ensuring type, variety, and needed pace in innovation. Open innovation, however, implies the efficiency of a supporting framework to search, gather, and mobilize external technical information into a company. In this chapter, the author proposes and describes the processes and functionalities of a TCI system, conceived to support open innovation processes. The proposed TCI system follows the classical logic of intelligence systems and takes into account the nuances inherent to a technical information intelligence system. The system is also contextually linked to open innovation to show functionality and play a critical role in the implementation of an effective innovation strategy whether of product or service companies.
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Ravasan, Ahad Zare, and Sogol Rabiee Savoji. "Business Intelligence Implementation Critical Success Factors." In Advances in Business Strategy and Competitive Advantage. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5718-0.ch006.

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Many organizations take business intelligence (BI) systems to improve their decision-making processes. Although many organizations have adopted BI systems, not all of these implementations have been successful. This chapter seeks to identify critical success factors (CSFs) that impact on the successful implementation of BI systems in organizations. So, at first, through literature review, 26 CSFs were identified. Following that, a questionnaire was developed and then filled out by domain experts who had at least three years of experience in BI implementation projects. Robust exploratory factor analysis (EFA) was run for data analysis, which finally classified 26 CSFs into four distinct groups termed as “organizational,” “human,” “project management,” and “technical.” The results of this study provide a very useful reference for scholars and managers to identify the relevant issues of BI projects in Iran.
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Miah, Shah J. "Tailorable Technologies for Improving Business Intelligence Systems." In Advances in Business Strategy and Competitive Advantage. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-5718-0.ch013.

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The Australian farm-based businesses can be benefited from specially designed applications for cost-effective operation while maximizing profits to survive in economic and environmental crises. For decision support, existing business intelligence systems (BIS) approaches scarcely deal with specific user's provisions to adjust changing situations in decision making, without extra technical exertions. In this chapter, the authors describe a conceptual framework of tailorable BIS solution that is based on case study findings in that the highlighted requirements are relevant to address changing situations through enhancing end user's engagement. The activities of end user's engagement supported through the use of tailorable features that reinforce a shift from the traditional BIS process to a new provision where business owners can actively involve in adjusting their features to their decision support.
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Gomes, Cristina Caramelo. "From Smart Concept to Desired Experiences." In Advances in Business Strategy and Competitive Advantage. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-3628-5.ch011.

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The development and implementation of ICT solutions changed the built environment. Objects from daily human routines and services, while aiming for sustainable and inclusive qualified solutions, challenged the countless possibilities of interaction between individuals, individuals and products, and products and products. Smart cities associate intelligence to environments and products to boost functionalities, uses, and experiences. The design of smart cities, from the spatial relations, objects interactions, and services availability must be user oriented to satisfy users' needs and expectations, while promoting qualified experiences. From real and questionable solutions, due to technical or functional orientation, emerges the need to observe human perception, reaction, and behavior to understand how it is possible to improve the experience. The aim of this chapter is to highlight the need of a different approach to the conceptualization of smart cities, environments, products, and services, emphasizing an emotionally appealing experience.
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Tran, Ben. "The Foundation of Cultural Intelligence." In Handbook of Research on Effective Marketing in Contemporary Globalism. IGI Global, 2014. http://dx.doi.org/10.4018/978-1-4666-6220-9.ch020.

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Globalization has expanded the domain of human capital requirements. Besides the traditional human capital requirements of technical knowledge and skills, the experience and skills associated with working in culturally diverse settings are becoming increasingly important (Tran, 2008). This additional human capital dimension—cosmopolitan human capital—is the focus of this chapter and the reason to study cultural intelligence, because they are so inextricably interlinked. Cosmopolitan human capital as a conceptualization has been expanded to include cosmopolitan human capital so as to include international experiences and cultural intelligence capabilities. Tomasello (2001) has argued that culture is what, in large part, separates human from animal intelligence. Tomasello (2001) states that humans have evolved as they have in part because of their cultural adaptions, which in turn develop from their ability even in infancy from about nine months onward to understand others as intentional agents. As such, the purpose of the chapter includes the foundation of cultural intelligence as it relates to human capital, and it concludes with recommendations on how to assess and evaluate whether an organization possesses human capital. The chapter will also assist organizations with evaluating whether they are equipped with developing human capital for competitive advantages based on 11 different types of intelligence.
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Finch, David J., and Sharon McIntyre. "Bridging the Gap Between Marketing Education and the Marketing Profession." In Research Anthology on Business and Technical Education in the Information Era. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5345-9.ch044.

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Professionals and scholars have discussed the unprecedented pace of change currently experienced by businesses. The dynamics facing business today offer rich insight into the challenges facing university graduates. In this chapter, the authors apply a dynamic capabilities (DCs) view of new graduate employability. Dynamic capabilities theory is rooted in the resource-based view that posits organizations create a competitive advantage by acquiring or developing resources that are rare, valuable, and hard to imitate and replace. They argue that employability can be viewed as the complex integration and application of four specific DCs: (1) intelligence resources, (2) personality resources, (3) meta-skill resources, and (4) job-specific resources. The authors view new graduate competitive advantage as dependent on the ability of university graduates to mobilize and exploit the linkages of these resources throughout their university study years. In adopting these resource categories, they build on previous work and propose a conceptual model to evaluate a new graduate's competitive position in an employment marketplace. In this chapter, the authors provide a prescription for how educators and students can apply an integrated dynamic capability view of new graduate employability to support the professional development of marketing students through the development of a comprehensive personal product roadmap.
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Milyan (Mils) Hills. "Always on Guard." In Advances in Business Information Systems and Analytics. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-3704-5.ch003.

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This chapter advances the idea that the modern organization can become immune to a full spectrum of risks by re-engineering its organizational capability and culture. Given the accepted role of people in causing or escalating technical risk – the requirement to achieve ‘always on' socio-technical protection poses a significant challenge. However, an enterprise's human resources offer a massive potential to detect and report risk and there is also substantial competitive advantage available to the organization which develops, integrates, leverages and acts on intelligence gained from a suite of socio-technical sensors and sense-making processes. The human resources and culture of an organization, properly configured, could comprise a powerful innate (constant) and adaptive (active) immune system. The chapter will provide the reader with a framework for how such an immune capability could be integrated into an organization that takes seriously the requirement to be ‘always on' – protected from any form or blend of socio-technical threat.
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Jiao, Roger J., and Qianli Xu. "Affective Human Factors Design with Ambient Intelligence for Product Ecosystems." In Mass Customization for Personalized Communication Environments. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-260-2.ch010.

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The fulfillment of affective customers needs may award the producer extra premium in gaining a competitive edge. This entails a number of technical challenges to be addressed, such as, the elicitation, evaluation, and fulfillment of affective needs, as well as the evaluation of capability of producers to launch the planned products. To tackle these issues, this research proposes an affective human factor design framework to facilitate decision-making in designing product ecosystems. In particular, ambient intelligence techniques are applied to elicit affective customer needs. An analytical model is proposed to support affective design analysis. Utility measure and conjoint analysis are employed to quantify users’ affective satisfaction, while the producers’ capability to fulfill the respective customer needs is evaluated using a capacity index. Association rule mining techniques are applied to model the mapping of affective needs to design elements. Configuration design of product ecosystems is optimized with a heuristic genetic algorithm. A case study of designing the living room ecosystem is reported with dual considerations of customers’ satisfaction and producer’s capacities. It is demonstrated that the affective human factors design framework can effectively manage the elicitation, analysis, and fulfillment of affective customer needs.
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Conference papers on the topic "Competitive technical intelligence"

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Taotao, Sun, Liu Yun, and Wang Wenping. "Competitive Technical Intelligence Analysis Based on Patents Coupling." In 2011 Fourth International Symposium on Knowledge Acquisition and Modeling (KAM). IEEE, 2011. http://dx.doi.org/10.1109/kam.2011.17.

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Yang, Xuemei. "Notice of Retraction: The Trend of Technical Innovation and Competitive Technical Intelligence in China." In 2011 Third Pacific-Asia Conference on Circuits, Communications and System (PACCS). IEEE, 2011. http://dx.doi.org/10.1109/paccs.2011.5990128.

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Li, Gang, and Lu An. "Mining competitive technical intelligence of high-tech products with self-organizing map." In the 5th international conference. ACM Press, 2008. http://dx.doi.org/10.1145/1456223.1456274.

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YANG, CHAO, FUJIN ZHU, and GUANGQUAN ZHANG. "SAO-BASED TOPIC MODELING FOR COMPETITIVE TECHNICAL INTELLIGENCE: A CASE STUDY IN GRAPHENE." In Conference on Uncertainty Modelling in Knowledge Engineering and Decision Making (FLINS 2016). WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789813146976_0027.

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Palilingan, Verry Ronny, and Johan Reimon Batmetan. "Competitive Intelligence framework for Increasing Competitiveness Vocational High School Management." In Proceedings of the 5th UPI International Conference on Technical and Vocational Education and Training (ICTVET 2018). Atlantis Press, 2019. http://dx.doi.org/10.2991/ictvet-18.2019.52.

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Hansen, Samuel, and Amin Mirkouei. "Past Infrastructures and Future Machine Intelligence (MI) for Biofuel Production: A Review and MI-Based Framework." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-86150.

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Recent interest in alternative energy sources, particularly biofuels from biomass, is becoming increasingly evident due to energy security and environmental sustainability concerns, such as depletion of conventional energy reserves and carbon footprint effects, respectively. Existing fuels (e.g., biodiesel and ethanol) are neither sustainable nor cost-competitive. There is a need to integrate the recent advanced manufacturing approaches and machine intelligence (MI) techniques (e.g., machine learning and artificial intelligence), targeted on the midstream segment (i.e., pre-/post-conversion processes) of biomass-to-biofuel supply chains (B2BSC). Thus, a comparative review of the existing MI approaches developed in prior studies is performed herein. This review article, additionally, proposes an MI-based framework to enhance productivity and profitability of existing biofuel production processes through intelligent monitoring and control, optimization, and data-driven decision support tools. It is further concluded that a modernized conversion process utilizing MI techniques is essential to seamlessly capture process-level intricacies and enhance techno-economic resilience and socio-ecological integrity of B2BSC.
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"Dimensional Analysis and Empirical Study on the Cooperation Performance of Competitive Technical Intelligence of R&D Alliance." In 2017 3rd International Conference on Economy, Management and Education Technology. Francis Academic Press, 2017. http://dx.doi.org/10.25236/icemet.2017.007.

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"Dimensional Analysis and Empirical Study on the Factors affecting the Competitive Technical Intelligence Cooperation of R&D Alliance." In 2017 3rd International Conference on Economy, Management and Education Technology. Francis Academic Press, 2017. http://dx.doi.org/10.25236/icemet.2017.008.

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Boehmer, Niclas, Vincent Froese, Julia Henkel, Yvonne Lasars, Rolf Niedermeier, and Malte Renken. "Two Influence Maximization Games on Graphs Made Temporal." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/7.

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To address the dynamic nature of real-world networks, we generalize competitive diffusion games and Voronoi games from static to temporal graphs, where edges may appear or disappear over time. This establishes a new direction of studies in the area of graph games, motivated by applications such as influence spreading. As a first step, we investigate the existence of Nash equilibria in competitive diffusion and Voronoi games on different temporal graph classes. Even when restricting our studies to temporal paths and cycles, this turns out to be a challenging undertaking, revealing significant differences between the two games in the temporal setting. Notably, both games are equivalent on static paths and cycles. Our two main technical results are (algorithmic) proofs for the existence of Nash equilibria in temporal competitive diffusion and temporal Voronoi games when the edges are restricted not to disappear over time.
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Shuaibi, Fakhriya, Mohammed Harthi, Samantha Large, et al. "Leveraging Game AI to Transform Integrated Brownfield Well Planning." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206163-ms.

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Abstract Objectives/Scope (25 - 50) PDO is in the process of transforming its well and urban planning by adopting digital technologies and Artificial Intelligence (AI) to improve organizational efficiency and maximize business value through faster quality decision. In 2020, PDO collaborated with a third-party contractor to provide a novel solution to an industry-wide problem: "how to effectively plan 100's of wells in a congested brownfield setting?". Business Transformation This paper describes an innovative AI-assisted well planning method that is a game-changer for well planning in mature fields, providing efficiency in urban and well trajectory planning. It was applied in one of PDO's most congested fields with a targeted infill of 43m well spacing. The novel well planning method automatically designs and optimizes well trajectories for 100-200 new wells while considering surface, subsurface and well design constraints. Existing manual workflows in the industry are extremely time consuming and sequential (multiple man-months of work) - particularly for fields with a congested subsurface (350+ existing wells in this case) and surface (limited options for new well pads). These conventional and sequential ways of working are therefore likely to leave value on the table because it is difficult to find 100+ feasible well trajectories, and optimize the development in an efficient manner. The implemented workflow has the potential to enable step change in improvements in time and value for brownfield well and urban planning for all future PDO developments. Innovation The innovative AI assisted workflow, an industry first for an infill development of this size, evaluates, generates and optimizes from thousands of drillable trajectories to an optimized set for the field development plan (based on ranked value drivers, in this case, competitive value, cost and UR). The workflow provides a range of drillable trajectories with multi-scenario targets and surface locations, allowing ranking, selection and optimization to be driven by selected metrics (well length, landing point and/or surface locations). The approach leads to a step change reduction in cycle time for well and urban planning in a complex brownfield with 100-200 infill targets, from many months to just a few weeks. It provides potential game-changing digital solutions to the industry, enabling improved performance, much shorter cycle times and robust, unbiased well plans. The real footprint and innovation from this AI-assisted workflow is the use of state-of-the-art AI to enhance team collaboration and integration, supporting much faster and higher quality field development decisions. Application of Technology This paper describes a novel solution to integrated well planning. This is a tangible example of real digital transformation of a complex, integrated and multi-disciplinary problem (geologists, well engineers, geomatics, concept engineers and reservoir engineers), and only one of very few applied use cases in the industry. This application also gives an example of "augmented intelligence", i.e. how AI can be used to truly support integrated project teams, while the teams remain fully in control of the ultimate decisions. The success of this approach leans on the integrated teamwork across multiple technical disciplines, not only involving PDO's resources, but also WhiteSpace Energy as a 3rd party service provider. The enhanced collaboration allowed all parties to highlight their constraints in an integrated way from the start, strengthening the technical discussion between disciplines and learning from each constraint impact and dependencies. (e.g. dog leg severity). In summary, the change in process flow moving from a sequential well planning and urban planning method to an iterative and fast AI solution – including all technical considerations from beginning represented for PDO an added value of over 6 months of direct cycle time HC acceleration.
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Reports on the topic "Competitive technical intelligence"

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SOUTHWELL, EDWIN T., MARIE L. GARCIA, and CHARLES E. MEYERS. A Case Study in Competitive Technical and Market Intelligence Support and Lessons Learned for the uChemLab LDRD Grand Challenge Project. Office of Scientific and Technical Information (OSTI), 2001. http://dx.doi.org/10.2172/789600.

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