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Auswahl der wissenschaftlichen Literatur zum Thema „Keywords Competitive Intelligence“
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Zeitschriftenartikel zum Thema "Keywords Competitive Intelligence"
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Han, Juhee, und Younghoon Lee. „Explainable Artificial Intelligence-Based Competitive Factor Identification“. ACM Transactions on Knowledge Discovery from Data 16, Nr. 1 (03.07.2021): 1–11. http://dx.doi.org/10.1145/3451529.
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Competitor analysis is an essential component of corporate strategy, providing both offensive and defensive strategic contexts to identify opportunities and threats. The rapid development of social media has recently led to several methodologies and frameworks facilitating competitor analysis through online reviews. Existing studies only focused on detecting comparative sentences in review comments or utilized low-performance models. However, this study proposes a novel approach to identifying the competitive factors using a recent explainable artificial intelligence approach at the comprehensive product feature level. We establish a model to classify the review comments for each corresponding product and evaluate the relevance of each keyword in such comments during the classification process. We then extract and prioritize the keywords and determine their competitiveness based on relevance. Our experiment results show that the proposed method can effectively extract the competitive factors both qualitatively and quantitatively.
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Eric Nenzhelele, Tshilidzi. „Factors that influence ethical and legal practice of competitive intelligence in the property sector a conceptual model“. Problems and Perspectives in Management 14, Nr. 4 (23.12.2016): 221–29. http://dx.doi.org/10.21511/ppm.14(4-1).2016.11.
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In spite of ethical concerns surrounding the practice of competitive intelligence (CI), firms in the property sector practise CI ethically and legally. No research has been conducted to establish the factors that influence firms in the property sector to practice CI ethically and legally. This research aimed to explore the literature to establish factors that may influence property practitioner firms to practise CI legally and ethically. The research was qualitative in nature and used content analysis to analyze the collected data. The research established eight factors that may influence property practitioner firms to practise CI ethically and legally. Keywords: competitive intelligence, competitive intelligence ethics, competitive intelligence code of ethics, competitive advantage, decision making, property sector, real estate JEL Classification: M54
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Omede, Nduka Kenneth, Amaechi Sylvester Egwuenu und Ezem Matthew Ibekwe. „Competitive Intelligence and Product Development/Innovations in Pharmaceutical Firms in Lagos State, Nigeria“. Jurnal Ekonomi Akuntansi dan Manajemen 19, Nr. 2 (27.09.2020): 92. http://dx.doi.org/10.19184/jeam.v19i2.17845.
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This study examined competitive intelligence and product development and innovation in pharmaceutical firms in Lagos State, Nigeria. Three hypotheses were formulated to determine whether or not a relationship exist between competitive intelligence and product development and innovation in pharmaceutical firms in Lagos State, Nigeria. The study adopted a survey research design to obtain data, using a structured questionnaire which was analyzed using Pearson’s product moment coefficient of correlation. The result indicated that there exists a significant relationship between competitive intelligence and product development and innovation in pharmaceutical firms in Lagos State, Nigeria. Based on the finding it was concluded that the process of product development and innovation cannot be successful except there is information about customer’s needs, wants and expectations of which the innovation products or services intends to serve. The study recommended among others that pharmaceutical firms should leverage on information gathering and sharing to determine the nature of the new product and service so that the new product offerings will be more valued and satisfying than the existing ones that are offered by the competitors.
Keywords: Competitive Intelligence, Information gathering and sharing, Product Development and innovations, New products, New product offerings, Pharmaceutical firms.
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Ristyawan, Mochammad Ridwan. „An Integrated Artificial Intelligence and Resource Base View Model for Creating Competitive Advantage“. GATR Journal of Business and Economics Review (JBER) Vol. 5 (1) January March 2020 5, Nr. 1 (09.03.2020): 28–37. http://dx.doi.org/10.35609/jber.2020.5.1(4).
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Objective – The performance of MSMEs (Micro, Small, and Medium Enterprises) is one of the main indicators to increase Indonesia's economic growth. The contribution of Indonesia's MSMEs is low in the global market and the lowest in ASEAN. One of the ways to increase the contribution is to create the value of competitiveness product. Management of resources is needed to provide high-quality products and competitive advantage of the company. This study aims to examine the combination of resources of the company through the Resource Base-View (RBV) approach. Methodology/Technique – A mix research method was employed, utilizing multiple criteria decision making as the analysis method and the Analytical Hierarchy process (AHP) as the instrument tool of the analysis. The respondents were 100 MSMEs in Pontianak. Findings – The criteria were determined by RBV Concept and the characteristic of company resources. The combination was the sequence level of the weight of the resources. The study also formulated the integration of the Artificial Intelligence and RBV model. The results of the study indicated that human resource is as the highest priority of company attention and the following sequences are marketing and distribution, finance and funding, operational and production, and the internet usage and technology. Novelty – The study also resulted in the creation of the RBV-AI Framework model to obtain strategic resources maintaining the competitive advantage of the company. Type of Paper: Empirical. Keywords: Artificial Intelligence (AI), Resource Base-View (RBV), MSMEs. Reference to this paper should be made as follows: Ristyawan; M.R. 2020. An Integrated Artificial Intelligence and Resource Base View Model for Creating Competitive Advantage, J. Bus. Econ. Review, 5(1) 28– 37 https://doi.org/10.35609/jber.2020.5.1(4) JEL Classification: M15, O32
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Dhamija, Pavitra, und Surajit Bag. „Role of artificial intelligence in operations environment: a review and bibliometric analysis“. TQM Journal 32, Nr. 4 (06.03.2020): 869–96. http://dx.doi.org/10.1108/tqm-10-2019-0243.
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Purpose“Technological intelligence” is the capacity to appreciate and adapt technological advancements, and “artificial intelligence” is the key to achieve persuasive operational transformations in majority of contemporary organizational set-ups. Implicitly, artificial intelligence (the philosophies of machines to think, behave and perform either same or similar to humans) has knocked the doors of business organizations as an imperative activity. Artificial intelligence, as a discipline, initiated by scientist John McCarthy and formally publicized at Dartmouth Conference in 1956, now occupies a central stage for many organizations. Implementation of artificial intelligence provides competitive edge to an organization with a definite augmentation in its social and corporate status. Mere application of a concept will not furnish real output until and unless its performance is reviewed systematically. Technological changes are dynamic and advancing at a rapid rate. Subsequently, it becomes highly crucial to understand that where have the people reached with respect to artificial intelligence research. The present article aims to review significant work by eminent researchers towards artificial intelligence in the form of top contributing universities, authors, keywords, funding sources, journals and citation statistics.Design/methodology/approachAs rightly remarked by past researchers that reviewing is learning from experience, research team has reviewed (by applying systematic literature review through bibliometric analysis) the concept of artificial intelligence in this article. A sum of 1,854 articles extracted from Scopus database for the year 2018–2019 (31st of May) with selected keywords (artificial intelligence, genetic algorithms, agent-based systems, expert systems, big data analytics and operations management) along with certain filters (subject–business, management and accounting; language-English; document–article, article in press, review articles and source-journals).FindingsResults obtained from cluster analysis focus on predominant themes for present as well as future researchers in the area of artificial intelligence. Emerged clusters include Cluster 1: Artificial Intelligence and Optimization; Cluster 2: Industrial Engineering/Research and Automation; Cluster 3: Operational Performance and Machine Learning; Cluster 4: Sustainable Supply Chains and Sustainable Development; Cluster 5: Technology Adoption and Green Supply Chain Management and Cluster 6: Internet of Things and Reverse Logistics.Originality/valueThe result of review of selected studies is in itself a unique contribution and a food for thought for operations managers and policy makers.
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Alvear, Isabelita Aljure, Ana María Bustamante Moreno und Luis Fernando Tirado Gallego. „Vigilancia Tecnológica e inteligencia competitiva (VT & IC): Alternativas para la recuperación y el aprovechamiento de residuos de plástico ABS alrededor del mundo“. KnE Engineering 3, Nr. 1 (11.02.2018): 626. http://dx.doi.org/10.18502/keg.v3i1.1466.
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This study presents the results of the first stage (scientific production analysis) of a Technological Surveillance and Competitive Intelligence exercise (TS&CI), carried out for the research of "the current alternatives for the recovery and valorization of ABS plastic waste around the world"; which was carried out with information from the specialized Scopus® database, with the guidance of TS&IC experts, from EAFIT University. It was found that the leading countries in scientific publications are China, the United States and Japan, three of the largest consumers of ABS resin in the world. The leading institution in publications is the prestigious Chalmers University of Technology, a research university that is in Sweden. Finally, it was found that 86% of the scientific production related to the subject of interest, occurs next to the year 1999, time after the environmental revolutions of the age and to the first “Earth day” in 1970.Keywords: acrylonitrile-butadiene-styrene, ABS plastic waste, recycling, reuse, reutilization.
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Alekseev, A., K. Ananchenko und V. Goloha. „Motivation and psycho-emotional state in the competitive activities of veteran judokas“. Єдиноборства, Nr. 3(21) (01.06.2021): 4–12. http://dx.doi.org/10.15391/ed.2021-3.01.
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Purpose: to study the features of motivation and psycho-emotional state in the competitive activities of veteran judokas. Material and methods. The pedagogical research used analysis and generalization of scientific and methodological literature, surveys of athletes and specialists in judo, study of videos of competitive activities of highly qualified judokas and veteran judokas, methods of mathematical statistics. Results: the level of psycho-emotional sphere of athletes' personality was assessed by a modified test RB Ketella (16-FLO-105-C). The results of this testing showed that the main parameters of the psycho-emotional state in judo veterans are within normal limits. Veterans are characterized by more objective self-esteem, good intelligence, less subordination, and stable emotional stability. A questionnaire survey of veteran judokas was conducted, which revealed that 92,9 % of respondents started regular classes before the age of 15; 96,4 % interrupted active wrestling for 5-10 years; 28,6 % of veteran athletes sometimes included wrestling and its elements in their exercise. In order to determine the motives for sports activities of veteran judokas and young athletes, a modified version of the method of identifying significant factors of sports activities was used, which showed that veteran athletes and young judokas have different motivations for training. 71,4 % of judo veterans are motivated to return to sports by meeting the needs of competitive activities, getting closer to their «motor past» and maintaining good health; 21,4 % of the surveyed athletes returned for self-expression and self-affirmation, and only 7,1 % said they continued to exercise to meet their ambitions. The main motive for young athletes was the need for self-expression (46,9 %), material interest (33,9 %). Conclusions. Studies have shown little effect on the competitive outcome in veteran judo injuries and sports qualifications of athletes. Apparently, the basis of success of highly qualified judokas-veterans is high psychological readiness, strictly individual physical and technical and tactical training. Keywords: judo, psychological training, motivation, competitions, veterans, veterans' sports
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Hallé Petiot, Gregory, Davi Silva und Lucas Ometto. „Exploring key competencies sought to potentialize tactical behavior in soccer players.“ Brazilian Journal of Motor Behavior 14, Nr. 5 (01.12.2020): 157–66. http://dx.doi.org/10.20338/bjmb.v14i5.199.
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BACKGROUND: Soccer is part of the team sports games category and is characterized by the cooperation and opposition interactions between players in the same space of play and time. Thus, players must adequately decide what action to perform despite the unpredictable, random, and varying nature of the environment of play. AIM: This paper explores tactical competencies that can be appreciated in the way players play and their functioning. METHOD: The argumentation is structured over a review of sixty articles in five languages, selected from the results in an online university library with topic-related keywords. The selected papers were analyzed to identify the most frequently reported concepts related to (i) tactics and action in the play; (ii) decision-making and associated cognitive mechanisms and skills; and (iii) the teaching-learning-training process. RESULTS: The results of this review sum the three following competencies: tactical intelligence, creativity, and co-adaptability. We argue that these competencies can be built through the play's practice and that coaches should seek to use them to the advantage of player’s development. Small-sided and conditioned games reflect a compatible opportunity to nurture the competencies as long as they are configured to solicit the competencies in an environment that promotes them. CONCLUSION: Tactical intelligence, creativity, and co-adaptability can be appreciated in the tactical behavior shown by performing players. For the same reason, those also should constitute more of the player’s development curriculum, therefore leading to players who have a competitive advantage.
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Sabaitytė, Jolanta, Vida Davidavičienė und Roberta Karpovičiūtė. „Learning skills for enhancing the use of Big Data“. World Journal on Educational Technology: Current Issues 12, Nr. 1 (31.01.2020): 23–36. http://dx.doi.org/10.18844/wjet.v12i1.4438.
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For a competitive organisation, it is important to invest in employee’s education to keep their knowledge up to date and ensure continuous growth in terms of employees’ competence and skills. Continuous learning is considered as one of the success factors for the organisation, since this ensures constant growth of employees’ competence that results in productiveness and effectiveness in its product development. Nowadays, more and more organisations are investing in performance analytics, Big Data analytics, artificial intelligence and process automation that are strongly related. However, such initiatives and projects can fail due to the lack of skills and competence of employees, which is strongly related to certain learning barriers. Therefore, the objective of the article is to create a conceptual framework for the elimination of learning-related barriers. The methods employed in this research are scientific literature analysis, synthesis and logical analysis of information, comparison of information, systemisation and visualisation. The conceptual framework illustrates the learning process for learning-related barriers elimination and suggests learning solutions: e-learning, mentoring, in house sessions, generic courses and external training solutions such as conferences and seminars.
Keywords: Teaching concept, learning big data, big data management, big data teaching, electronic learning
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Ristyawan, Mochammad Ridwan. „Artificial Neural Network and Analytical Hierarchy Process Integration: A Tool to Estimate Business Strategy of Bank“. 11th GLOBAL CONFERENCE ON BUSINESS AND SOCIAL SCIENCES 11, Nr. 1 (09.12.2020): 66. http://dx.doi.org/10.35609/gcbssproceeding.2020.11(66).
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The disruption has been occurring in financial services. Rethinking new strategy of banking is needed to make a sustainable competitive advantage innovation in organizations. The four types of business strategy for banks are prospector, analyzer, defender, and reactor. Studies mentioned that formulating strategy is very costly, time consuming, and comprehensive analysis. The banks have to get rid of execution time inefficiency, lack of flexibility, and lack of ability to present several scenarios in the dynamic business environment. The purpose of this study is to present an integrated intelligence algorithm for estimating strategic resources of the bank strategy in Indonesia. The algorithm has two basic modules which are artificial neural network (ANN) and analytical hierarchy process (AHP). ANN is utilized as an inductive algorithm in discovering predictive strategy of the bank and used to explain the strategic resources which improved in forward. AHP has the capability to handle multi-level decision-making structure with use of expert judgments in pairwise comparison process. AHP is used to measure the weight of the resources and the score is used to determine the strategy. The empirical results indicate that ANN and AHP integration is proved to predict the business strategy of the bank. The strategy choice appropriate with the condition of bank's resources. This framework can be implemented to help banker for the decision making in bank operation. Keywords: business strategy, ANN, AHP, resources
Dissertationen zum Thema "Keywords Competitive Intelligence"
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Vybíral, Pavel. „Využití Competitive inteligence v malé firmě“. Master's thesis, Vysoké učení technické v Brně. Fakulta podnikatelská, 2018. http://www.nusl.cz/ntk/nusl-442566.
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Thediploma thesis dealswiththe use of Competitive Intelligence in a small company. Theaimofthe thesis is to findout by the rigorous analysis of competition the biggest competitor and the prediction of possible further steps of this competitor. Thefirst part ofthe thesis introdukces the company, its competitors and the theoretical knowledge is analyzed. The second part analyzes the selected competitor of thecompany and looks for possible further steps of the biggestcompetitor. Thethird part contains suggestions and recommendations for using Competitive Intelligence in small company.
Buchteile zum Thema "Keywords Competitive Intelligence"
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Loh, Stanley, Fabiana Lorenzi, Paulo Roberto Pasqualotti, Sabrina Ferreira Rodrigues, Luis Fernando Fortes Garcia und Valesca Persch Reichelt. „Automatic Sentiment Analysis on Web Texts for Competitive Intelligence“. In Advancing Information Management through Semantic Web Concepts and Ontologies, 316–26. IGI Global, 2013. http://dx.doi.org/10.4018/978-1-4666-2494-8.ch017.
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This chapter presents a software tool that helps the Competitive Intelligence process by collecting and analyzing texts published on the Internet. The goal is to automatically analyze indicators of the sentiment present in texts about a certain theme, whether positive or negative. The sentiment analysis is made through a probabilistic process over keywords present in the texts, using as reference a task ontology with positive and negative words defined with a degree of confidence.
Konferenzberichte zum Thema "Keywords Competitive Intelligence"
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Ying, Wei, Wei Qiang und Zhang Jin. „From query log to competitive advertising: A business intelligence method for elaborating consideration set of keywords“. In 2013 International Conference on Management Science and Engineering (ICMSE). IEEE, 2013. http://dx.doi.org/10.1109/icmse.2013.6586280.
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Blazquez, Desamparados, Josep Domenech, José A. Gil und Ana Pont. „Automatic detection of e-commerce availability from web data“. In CARMA 2016 - 1st International Conference on Advanced Research Methods and Analytics. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/carma2016.2016.3603.
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In the transition to the digital economy, the implementation of e-commerce strategies contributes to foster economic growth and obtain competitive advantages. Indeed, national and supranational statistics offices monitor the adoption of e-commerce solutions by conducting periodic surveys to businesses. However, the information about e-commerce adoption is often available online in each company corporate website, which is usually public and suitable for being automatically retrieved and processed.In this context, this work proposes and develops an intelligent system for automatically detecting and monitoring e-commerce availability by analyzing data retrieved from corporate websites. This system combines web scraping techniques with some learning methods for Big Data, and has been evaluated with a data set consisting of 426 corporate websites of manufacturing firms based in France and Spain.Results show that the proposed model reaches a classification precision of about 85% in the test set. A more detailed analysis evidences that websites with e-commerce tend to include some specific keywords and have a private area. Our proposal opens up the opportunity to monitor e-commerce adoption at a large scale, with highly granular information that otherwise would have required every firm to complete a survey.