Relevant bibliographies by topics / Analysis of information factors

Contents

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

Academic literature on the topic 'Analysis of information factors'

Author: Grafiati
Published: 30 May 2022
Last updated: 31 May 2022

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Journal articles on the topic "Analysis of information factors"

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Mkonya, Victoria Lucas, Yu Jintian, Stella Binauli Nanthuru, and Salimu Abushiri Jinyevu. "Analysis of Top Management Support and Individual Factors Influence on Accounting Information System and its Impact on the Accounting Information Quality for Projects." INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE AND BUSINESS ADMINISTRATION 4, no. 3 (2018): 19–29. http://dx.doi.org/10.18775/ijmsba.1849-5664-5419.2014.43.1003.

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The development of information technology in accounting has assisted on accountability and transparency of projects funds through the use of accounting information system for projects in producing quality reports. Top management support and individual factor are considered to have a high impact on accounting information system implementation. The study examined the effect of top management support and individual factors on the implementation of accounting information system and its impact on accounting information quality for projects in Tanzania. The study was carried out on nongovernmental organizations operated in Tanzania in different sectors. A questionnaire used to collect information from users of accounting information and accounting information system in different nongovernmental organizations projects in Tanzania. The results indicate that top management support and individual factors significantly influence accounting information system. Furthermore, it was found that the accounting information quality is influenced considerably by accounting information system.
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Library Association, American. "External factors analysis statement." College & Research Libraries News 46, no. 11 (1985): 607–8. http://dx.doi.org/10.5860/crln.46.11.607.

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Kim, Ji-Sun, and Ji-Hong Park. "Influencing Factors for the Information Commons User Satisfaction: An Analysis of School Libraries." Journal of Information Management 42, no. 2 (2011): 121–49. http://dx.doi.org/10.1633/jim.2011.42.2.121.

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Wallace, John S., and Donald L. Fisher. "Sound Localization: Information Theory Analysis." Human Factors: The Journal of the Human Factors and Ergonomics Society 40, no. 1 (1998): 50–68. http://dx.doi.org/10.1518/001872098779480532.

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Kim, Dong-Moon. "Analysis of Risk Factors of Sinkholes with Geospatial Information." Convergence Society for SMB 6, no. 4 (2016): 37–43. http://dx.doi.org/10.22156/cs4smb.2016.6.4.037.

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Lee, Geol-Yi, and Seon-Gyu Yi. "An Analysis of Factors that Affect Information Technology Outsourcing." Journal of Korean Institute of Information Technology 14, no. 11 (2016): 143. http://dx.doi.org/10.14801/jkiit.2016.14.11.143.

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李, 亮. "Factors Analysis for Improved Information Dissemination Model on Microblog." Modeling and Simulation 04, no. 01 (2015): 1–7. http://dx.doi.org/10.12677/mos.2015.41001.

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Gulai, A. V., and V. M. Zaytsev. "ANALYSIS OF INFORMATION FACTORS FOR DESIGNING INTELLECTUAL MECHATRONIC SYSTEM." Science & Technique 15, no. 4 (2016): 335–44. http://dx.doi.org/10.21122/2227-1031-2016-15-4-335-344.

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Ren, Fang. "Information Philosophy Analysis of Traditional Culture Factors Affect Behavior." Proceedings 1, no. 3 (2017): 70. http://dx.doi.org/10.3390/is4si-2017-04050.

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Hussain, Zahid, and Nelarine Cornelius. "Metaphorical analysis of social factors during information systems development." International Journal of Business Information Systems 2, no. 1 (2007): 21. http://dx.doi.org/10.1504/ijbis.2007.011414.

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Dissertations / Theses on the topic "Analysis of information factors"

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Sissing, Donovan. "Information technology architecture and related strategic factors supporting business advantage." Thesis, University of the Western Cape, 2007. http://etd.uwc.ac.za/index.php?module=etd&action=viewtitle&id=gen8Srv25Nme4_1476_1255527907.

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<p>&quot<br>Information Technology (IT) architecture is not restricted to technology, but may also address the views of business activities<br>their processes<br>data sets and information flows<br>applications and software<br>and technology. The objective of this study is to understand the role of IT Architecture and related factors that support competitive business advantage. This study investigates the null hypothesis: IT architecture enhances the competitive advantage of business. This study sets out to explore IT architecture and strategic factorsthat support business advantage. The study findings indicated that business advantage is supported by a sound architecture, by IT and business alignmentand by the enablers of organisations...&quot<br></p>
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Herald, William Joseph. "An analysis of factors influencing general user information satisfaction including system-specific user information satisfaction." Connect to resource, 1996. http://rave.ohiolink.edu/etdc/view.cgi?acc%5Fnum=osu1267623116.

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Chalorthorn, Tawunrat. "Quantitative assessment of factors in sentiment analysis." Thesis, Northumbria University, 2016. http://nrl.northumbria.ac.uk/30233/.

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Sentiment can be defined as a tendency to experience certain emotions in relation to a particular object or person. Sentiment may be expressed in writing, in which case determining that sentiment algorithmically is known as sentiment analysis. Sentiment analysis is often applied to Internet texts such as product reviews, websites, blogs, or tweets, where automatically determining published feeling towards a product, or service is very useful to marketers or opinion analysts. The main goal of sentiment analysis is to identify the polarity of natural language text. This thesis sets out to examine quantitatively the factors that have an effect on sentiment analysis. The factors that are commonly used in sentiment analysis are text features, sentiment lexica or resources, and the machine learning algorithms employed. The main aim of this thesis is to investigate systematically the interaction between sentiment analysis factors and machine learning algorithms in order to improve sentiment analysis performance as compared to the opinions of human assessors. A software system known as TJP was designed and developed to support this investigation. The research reported here has three main parts. Firstly, the role of data pre-processing was investigated with TJP using a combination of features together with publically available datasets. This considers the relationship and relative importance of superficial text features such as emoticons, n-grams, negations, hashtags, repeated letters, special characters, slang, and stopwords. The resulting statistical analysis suggests that a combination of all of these features achieves better accuracy with the dataset, and had a considerable effect on system performance. Secondly, the effect of human marked up training data was considered, since this is required by supervised machine learning algorithms. The results gained from TJP suggest that training data greatly augments sentiment analysis performance. However, the combination of training data and sentiment lexica seems to provide optimal performance. Nevertheless, one particular sentiment lexicon, AFINN, contributed better than others in the absence of training data, and therefore would be appropriate for unsupervised approaches to sentiment analysis. Finally, the performance of two sophisticated ensemble machine learning algorithms was investigated. Both the Arbiter Tree and Combiner Tree were chosen since neither of them has previously been used with sentiment analysis. The objective here was to demonstrate their applicability and effectiveness compared to that of the leading single machine learning algorithms, Naïve Bayes, and Support Vector Machines. The results showed that whilst either can be applied to sentiment analysis, the Arbiter Tree ensemble algorithm achieved better accuracy performance than either the Combiner Tree or any single machine learning algorithm.
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Walker, Karen M. "An Analysis of Business Intelligence Maturity, Enterprise Size, and Environmental Factors." Thesis, Capella University, 2017. http://pqdtopen.proquest.com/#viewpdf?dispub=10682877.

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<p> Business intelligence (BI) maturity for small and medium-sized enterprises (SMEs) is significantly behind larger companies that utilize BI solutions. Successful data oriented business environments require knowledge and insight to understand organizational capabilities. This quantitative correlational study assessed the relationship between variables and BI solutions by examining the independent covariates (size and environment) on the dependent variable of BI maturity. In addition, the research examined the extent that BI maturity is leveraged as an organizational asset. Research questions selected for this study considered the relationship between enterprise size, environment, and SMEs&rsquo; BI maturity. Contingency theory was used to examine the relationship between variables, characteristics, and performance. A Qualtrics panel was used to distribute the BI maturity model survey to for-profit employers, with 1000 or fewer employees, located within the state of California. Respondents completed 102 surveys, which served as the data source. Descriptive analysis and chi-square were conducted on a sample size of 102. The results of the study revealed no significant relationship between the dependent and independent variables. While the domains of strategy and quality are findings in this research, this study found a significant relationship does not exist between either the organizational size, environment and SMEs&rsquo; BI maturity. Consideration of the implications that are found in this study apply to both covariances (size and environment). These findings strengthen the need for further SME BI research.</p><p>
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Hua, David M. "Persistence factors of women in information tecnology : a multiple case study analysis." CardinalScholar 1.0, 2010. http://liblink.bsu.edu/uhtbin/catkey/1560837.

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Women have historically been underrepresented in the field of information technology. The literature related to the underrepresentation of women in information technology has focused on developing strategies for attracting more females into the industry. Despite these efforts, the number of women in information technology has been declining. The factors that contribute to the career persistence of women in information technology were investigated. An exploratory multiple case study methodology was used with nine women who have been employed in the information technology field for a minimum of five years. The subjects underwent a series of two interviews that focused on the reasons why they thought they had been able to have sustained careers in information technology. A qualitative analysis of the interviews was conducted to determine the factors that the subjects identified as contributors to their career persistence. The interviews were also analyzed to discover whether women that have had sustained careers in information technology conceptualize their experiences from particular feminist perspectives. The findings provided insights into the following factors that contribute to career persistence among women in information technology. These factors included how a woman 2 transitioned into her first information technology position, personal traits, effective career strategies, and effective coping strategies. While there will be individual differences, each subject presented that a combination of the stated factors directly contributed to her sustained career in information technology. Women in information technology were found to conceptualize their experiences through a variety of feminist perspectives. The existential feminist perspective was used extensively as a rationale for how societal expectations shape peoples view of women in information technology. The Marxist/socialist feminist and radical feminist perspectives were utilized when describing the barriers against women in information technology. The liberal feminist and postmodern feminist perspectives served as a foundation for recommendations to increase the likelihood for women entering and staying in the field of information technology.<br>Department of Educational Leadership
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Chami, B. (Brahim). "Cultural analysis of factors affecting customers’ online shopping behavior in Finland and Morocco." Master's thesis, University of Oulu, 2013. http://urn.fi/URN:NBN:fi:oulu-201311261929.

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The study relies on UTAUT model to conduct a confirmatory factor analysis to understand the factors influencing the Moroccan and Finnish people in adopting online shopping. Then, it uses Hofstede theory to understand the relationship strength between the different variables. In this study, a total of 153 people were surveyed. They were drawn from two universities, Al Akhawayn University in Morocco and Oulu University in Finland. The questions of the survey were not designed to understand the use of any products or services. But, they were interned only to reveal the general behavior of online shopping among the citizen of both countries. This master study presents the finding of the study and validates the UTAUT model in both countries. Moreover, this study provides some practical solutions that could be used in marketing to influence people to use online shops. Moreover, it also demonstrates the reliability and validity of UTAUT scales and suggests further analysis to improve this model.
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Tew, Mark. "Investigating the factors driving adoption of RPA in South African banking: a qualitative analysis." Master's thesis, Faculty of Commerce, 2020. http://hdl.handle.net/11427/33017.

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Background: Studies have shown that the traditional banking sector is under threat from digital banks and financial technology (fintech) organisations that can operate with a lower cost base and respond to the market faster. In response to this threat, leading banks have implemented Robotic Process Automation (RPA) to reduce costs and simplify operations. The adoption of RPA has, however, proven to be challenging as in many cases the impact of automation technology implementations is perceived to affect the livelihoods of staff who work in banks. Within the South African banking context, there is a particular sensitivity to factors that impede employment and labour unions are deeply involved in protecting workers. Objective: While there is research on RPA implementations, it is limited in the banking context. Further, there is currently little to no RPA adoption research specifically in the South African banking context. This study seeks to investigate the factors that drive RPA adoption in South African banks. Method: This study has used the Technology-Organisation-Environment (TOE) framework, extended with Institution Theory, as a lens to structure an approach in organising RPA adoption factors in an extensive literature review on the phenomenon. Thematic analysis was used to analyse the interview data that was collected. Themes were aggregated and organised by the TOE perspectives to create structure throughout the study. Results: The findings were that the adoption of RPA in South African banks is driven by the expected benefits of RPA which are achieved when well-suited processes are targeted, an effective operating model for the program including business and IT personnel, with the right skills. A well-designed change program is critical for RPA adoption in banks. South African banks are also working closely with the trade unions and are, on the whole, following best practices when automating parts of their workforce's roles by ensuring that they are given the opportunity to work on more engaging tasks.
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Hussein, Safaa A. "An empirical investigation of information systems success : an analysis of the factors affecting banking information systems success in Egypt." Thesis, University of Bradford, 2009. http://hdl.handle.net/10454/4298.

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Information technology (IT) plays an important role in contemporary organisations and this role continues to expand in scope and complexity and affects business operations dramatically. Advances in the IT industry have caused major changes in every industry sector. The banking industry is no exception and it has undergone a dramatic change over the past few decades. With the coming of the information age, IS investments are becoming increasingly important to banks` survival, growth and prosperity. IS managers are under increasing pressure to justify the value and contribution of IS expenditure to the productivity, quality and competitiveness of the organisation. This study aims to propose a model which investigates the success of information systems in the banking industry in order to help bank managers to evaluate the success of their IS, to be able to develop these systems and to improve the performance of bank managers and employees. Given that the ultimate dependent variable for this research is individual impacts, DeLone and McLean (2003) updated IS success model is leveraged and extended in this research. The study proposes a research model which is guided by the decision to select a suitable number of key potential demographic and situational variables, in addition to the adoption of DeLone and McLean (2003) updated model. This model proposes that a variety of factors were found to affect IS success in general, however, from the socio-technical viewpoint, IS success should capture both technological and human elements. Therefore, an effective Banking Information System (BIS) typically requires an appropriate combination of both. As such, Thus, the technological dimensions (i.e. system, service and information quality) and the human dimensions (e.g. user satisfaction, perceived system benefits, user involvement, user training, age, education and system use) can be a good starting point when considering suitable constructs for measuring BIS success. The research methodology of this study involved interviews with BIS practitioners and professionals to shape and refine the research model. Further, questionnaire survey was employed to collect data from bank managers in Egyptian banks. Structural Equation Modelling (SEM) using Partial Least Square (PLS) was used to test the research model. Three research models were proposed according to age groups and initial results from PLS analysis reported different results in each research model. Findings indicated that system, information and service quality, level of training, age, length of system use, user involvement and top management support were the main predictors (success constructs) of user satisfaction and individual impacts in the three proposed research models. However, the relationships between these constructs varied according to each age group of managers. The study offers important academic and practical contributions. Firstly, as a contribution to research, the study serves to extend the DeLone and McLean (2003) IS success model by introducing some key human and situational dimensions and confirming certain links in that model with the context of banking industry. The contribution to practice is especially relevant for bank CIOs, software designers and developers looking for ways to improve BIS developments by providing them with directions regarding the BIS success dimensions that should be considered to encourage bank managers to adopt and be more satisfied with BIS which in turn influence their job performance.
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Patrellis, Yiota. "An analysis of the factors that influence effectiveness in information technology student project teams." Thesis, Port Elizabeth Technikon, 2003. http://hdl.handle.net/10948/199.

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More and more organizations are making use of teamwork. Effective teams are also important from an Information Technology (IT) perspective, since teamwork forms an integral part of all software development activities. It is therefore extremely important that IT students are able to work together as an effective team. These statements lead to the following questions – How can IT student project teams be effective and what obstacles need to be overcome in order to ensure effectiveness? This dissertation reports on an exploratory study of second and third year IT project teams and exposes factors that lead to ineffectiveness. Firstly, the problems experienced by the groups seem to have the largest detrimental effect on effective team functioning. Secondly, the project mark is also affected by the priority issue that is associated with the particular task. Thirdly, the issues of time management, communication, conflict management, compromise, social loafing and group cohesion also play an important role in team effectiveness. This dissertation sets out to prove that the key to "effectiveness" lies in empowering the student to deal with all possible dilemmas that may be faced when working in teams in the tertiary team situation. The benefits of these actions will hopefully lead to the realization of “effectiveness” in the tertiary team situation and ultimately, in the student’s work environment.
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Sundén, Susanne, and Gudrun Wicander. "Information and Communication Technology Applied for Developing Countries in a Rural Context : Towards a Framework for Analysing Factors Influencing Sustainable Use." Licentiate thesis, Karlstad University, Faculty of Economic Sciences, Communication and IT, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:kau:diva-748.

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<p>Information and Communication Technology (ICT) has been considered a tool that can be used to achieve development goals in developing countries. In the same time, the majority of people living in developing countries, and especially those in rural areas lack access to ICT. Even if there have been many attempts to introduce ICT, they have in general not been long-lasting.</p><p>A framework for studying factors that influence use of ICT is desirable. We see it necessary to bring a sustainability aspect into the picture of ICT. In this work the requirement of ‘sustainable ICT use’ stresses that ICT is long-lasting and that ICT meets the needs of the user. Thus, the aim of this work is to develop a tool for conceptualisation that can support the understanding of the conditions for sustainable, and therefore successful, ICT projects in developing countries.</p><p>Our theoretical starting point is taken in the Information System (IS) theories. The theoretical base is then broadened to include theories on international development, theories on sustainable development, and theories on diffusion of innovations and transfer of technology. The theoretical foundation, together with four empirical studies, is used to answer the two research questions in this thesis. The first question is: Which are the critical factors influencing sustainable ICT use in developing countries? By using ‘critical factors’ we emphasise a focus on factors which are crucial (even if possibly not sufficient) for bringing about sustainable ICT use. This question is followed by a second question: How would a framework be structured to properly include these factors in order to support analyses of sustainable ICT use?</p><p>The framework has evolved through the identification of factors from four empirical studies. Forty-one factors were identified and sorted into fifteen subcategories of five major capital assets. The main contribution of our study is that of a generic framework, which can be used as a guideline for planning, implementation, and evaluation of ICT projects in a rural developing country context achieving sustainable ICT. As argued in this thesis technology is not the key resource; it is the combination and system of different resources distributed along a time and space dimension that is the key. With our framework we have demonstrated that the ICT artefact is not the sustainability tool, it is the combination of different resources that makes it sustainable and competitive.</p>
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Books on the topic "Analysis of information factors"

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Kyllonen, Patrick C. Dimensions of information processing speed. Air Force Human Resources Laboratory, Air Force Systems Command, 1985.

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IFIP TC8/WG 8.1 Working Conference on Human Factors in Information Systems Analysis and Design (1990 Schärding, Austria). Human factors in analysis and design of information systems: Proceedings of the IFIP TC8/WG 8.1 Working Conference on Human Factors in Information Systems Analysis and Design, Schärding, Austria, 5-8 June 1990. North-Holland, 1990.

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IFIP TC 8/WG 8.1 Working Conference on Human Factors in Information Systems Analysis and Design (1990 Schärding,Austria). Human factors in analysis and design of information systems: Proceedings of the IFIP TC 8/WG 8.1 Working Conference on Human Factors in Information Systems Analysis and Design, Schärding, Austria, 5-8 June,1990. North-Holland, 1990.

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Ferson, Wayne E. Stochastic discount factor bounds with conditioning information. National Bureau of Economic Research, 2002.

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Groeneboom, P. Information bounds and nonparametric maximum likelihood estimation. Birkhäuser, 1992.

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Holtz, Jerry B. Sports performance--analysis, skills, conditions, training, and human factors: Index of new information with authors & subjects. Abbe Publishers Association, 1994.

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P, Enderwick Thomas, ed. Human factors in system design, development, and testing. Lawrence Erlbaum Associates, 2002.

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Marcella, Rita. Key factors in help desk success: An analysis of areas critical to help desk development andfunctionality. British Library Research and Development Department, 1996.

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Organization for Social Science Research in Eastern and Southern Africa, ed. Factors affecting access to rural health services: A case study of Baringo area of Kenya using GIS. Organisation for Social Science Research in Eastern and Southern Africa, 2010.

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Wo guo zhong xiao qi ye ji shu fa zhan ce lüe de wei jie gou yin su fen xi: Analysis of micro-structure factors on the technology development strategy of medium-small firm in China. Shanghai she hui ke xue yuan chu ban she, 2010.

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Book chapters on the topic "Analysis of information factors"

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Pettit, Lawrence I. "Learning about Degradation Models and Prognostic Factors." In Data Analysis and Information Systems. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-80098-6_28.

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Barnett, Michael L. "Factors in the Investigation of Human Error in Accident Causation." In Information Systems: Failure Analysis. Springer Berlin Heidelberg, 1987. http://dx.doi.org/10.1007/978-3-642-83091-4_11.

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Ai, Hua, Qiang Liu, Zhen Wang, Zezhong Zheng, Yaosen Huang, and Zhiqin Huang. "Principal Component Analysis of Building Cluster Factors." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3969-0_3.

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Khashabh, Ibrahim Abou, Václav Chudáček, and Michal Huptych. "Statistical Analysis of Perinatal Risk Factors for Emergency Caesarean Section." In Information Technology in Bio- and Medical Informatics. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64265-9_3.

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Clare, Jeremy. "Requirements Analysis for Human System Information Exchange." In Verification and Validation of Complex Systems: Human Factors Issues. Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-662-02933-6_20.

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Zheng, Zhuoyuan, Ye Li, and Yunpeng Cai. "An Analysis on Risk Factors of Chronics Diseases Based on GRI." In Health Information Science. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06269-3_5.

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Zhang, Wen-Ji, Li-Wen Chen, Yao Zhou, Ri-Jing Zheng, and Kuo-Chi Chang. "Fuzhou PM2.5 Prediction and Related Factors Analysis." In Advances in Intelligent Information Hiding and Multimedia Signal Processing. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-6420-2_27.

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Shanteau, James, and John J. Skowronski. "The decision to donate organs: An information-integration analysis." In Organ donation and transplantation: Psychological and behavioral factors. American Psychological Association, 1992. http://dx.doi.org/10.1037/10134-005.

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Yamada, Michihiro, Koichi Niihara, and Hiroaki Kikuchi. "Decision Tree Analysis on Environmental Factors of Insider Threats." In Communications in Computer and Information Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-58753-0_93.

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Huang, Jiawen, and Chun Yuan. "FANet: Factor Analysis Neural Network." In Neural Information Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-26555-1_20.

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Conference papers on the topic "Analysis of information factors"

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Lu, Xiangnan, Xin Zhao, and Hui Han. "Analysis on Factors Impacting to Information System Development." In 2008 International Seminar on Future Information Technology and Management Engineering (FITME). IEEE, 2008. http://dx.doi.org/10.1109/fitme.2008.134.

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Mousavi, Mohammad Zia, and Suresh Kumar. "Analysis of key Factors for Organization Information Security." In 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon). IEEE, 2019. http://dx.doi.org/10.1109/comitcon.2019.8862191.

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Xia, Fang, Bingbing Zhao, and Zixu Hao. "Analysis on Total Factor Productivity of Chinese Information Service Industry and Influencing Factors." In The 7th International Conference on Computer Engineering and Networks. Sissa Medialab, 2017. http://dx.doi.org/10.22323/1.299.0083.

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Zhen-wei, Wang, Shi Hong-sheng, and Lin Dan-lan. "Effective Factors Analysis on Camera Calibration." In 2020 International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 2020. http://dx.doi.org/10.1109/cisce50729.2020.00073.

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Dunkerley, Kimberley D., and Gurvirender Tejay. "A Confirmatory Analysis of Information Systems Security Success Factors." In 2011 44th Hawaii International Conference on System Sciences (HICSS 2011). IEEE, 2011. http://dx.doi.org/10.1109/hicss.2011.5.

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Zulzalil, Hazura, Zuhaira Muhammad Zain, Abdul Azim Abd Ghani, Mohd Hasan Selamat, and Ramlan Mahmod. "Relationships analysis between quality factors for Web applications." In 2008 International Symposium on Information Technology. IEEE, 2008. http://dx.doi.org/10.1109/itsim.2008.4631988.

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Yu, Ma. "Analysis on the Influencing Factors of College Students’ Entrepreneurial Self-efficacy Based on Factor Analysis." In EBIMCS 2021: 2021 4th International Conference on E-Business, Information Management and Computer Science. ACM, 2021. http://dx.doi.org/10.1145/3511716.3511748.

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Margaris, Dionisis, Dimitris Spiliotopoulos, and Costas Vassilakis. "Neighbourhood Aging Factors for Limited Information Social Network Collaborative Filtering." In 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). IEEE, 2020. http://dx.doi.org/10.1109/asonam49781.2020.9381314.

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Zhao, Yanjie. "Analysis of influencing factors for TCP throughput." In 2015 5th International Conference on Electronics Information and Emergency Communication (ICEIEC). IEEE, 2015. http://dx.doi.org/10.1109/iceiec.2015.7284542.

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Cakit ª, Erman, and Waldemar Karwowski. "Using Geographic Information Systems Analysis for Mapping Adverse Events in an Active War Theater." In Applied Human Factors and Ergonomics Conference. AHFE International, 2019. http://dx.doi.org/10.54941/ahfe100200.

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This study is a review of adverse events throughout the war in Afghanistan by representing the mapping of these events, where we considered three types of adverse events in terms of number of people killed, wounded and hijacked, and their total number in the active war theater of Afghanistan over the period 2004-2010. The country was divided into seven regions for pattern analysis, where each region has different numbers of provinces, districts, and number of records. A point-density analysis was conducted to detect those areas where a high density of data point locations was concentrated. Based on the results obtained, it was concluded that the frequency of adverse events has increased from 2004 through 2010. The south-western region had the highest mean by district values than other regions and the whole of Afghanistan for all variables. On the other side, the north-western region had the lowest mean by district values than other regions and the whole of Afghanistan for all variables. When we compared the variables against each other, the number of people hijacked had the lowest values in total and average by district than the other variables.
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Reports on the topic "Analysis of information factors"

1

Gibbons, Robert D., Donald R. Hedeker, and R. D. Bock. Full-Information Item Bi-Factor Analysis. Defense Technical Information Center, 1990. http://dx.doi.org/10.21236/ada229346.

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Guo, Xingzhou, Chi Tian, Jinwu Xiao, Yunfeng Chen, and Jiansong Zhang. Life Cycle Integration of Building Information Modeling in Infrastructure Projects. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317356.

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Building Information Modeling (BIM) can provide solutions to many challenges of asset management, such as missing data, incompatible software, and an unclear business process. However, current implementation of BIM in infrastructure projects has only considers limited factors, such as technology application and digital information delivery, while issues of system compatibility and information needs are still missing. Different aspects of a business are interdependent and an incompatible development of various factors might result in different levels of BIM implementation or even project failure. Comprehensive research is needed to explore the key factors and challenges of BIM implementation in infrastructure projects. This study conducted interviews and surveys with key stakeholders of infrastructure projects to explore the challenges and potential solutions of BIM implementation. Interviews were conducted with 37 professionals and surveys were conducted with 102 professional stakeholders, including owners, designers, contractors, and software vendors. Four main factors, challenges, and potential solutions were identified from content analysis of the interviews and further validated by the surveys. These factors include process factor (when), technology factor (how), people factor (who), and information factor (what). Corresponding solutions are proposed to refine the current workflow and practices.
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Zhou, Ruoyu, Wenjie Yang, Ming Wu, Yu Wang, and Liqiong Wang. A meta-analysis of prevalence and risk factors of Internet pornography addiction among adolescents. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.1.0013.

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Review question / Objective: To provide an overview of prevalence and risk factor for Internet pornography addiction in adolescents according to meta-analyses. Condition being studied: Internet pornography addiction：A psychopathic state of being addicted to adult-talking chat rooms and online pornographic literature and videos. Research into the area of addictive sexual behaviors on the Internet began with an inquiry into the various constructs surrounding compulsive sexual behavior. Information sources: For literature on mindfulness practice for adolescent emotional disorders published before December , 20th, 2021, search databases will include Google Scholar, EMBASE, Web of Science, PubMed, the CNKI, the Chinese Science and Technology Periodical Database, VIP, Wanfang, and Cochrane Library.
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Uhland, Gary. Beyond difference scores : testing models of speed of information-processing using confirmatory factor analysis. Portland State University Library, 2000. http://dx.doi.org/10.15760/etd.5717.

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Mellenthin, Claudia, Vasile Balaban, Ana Dugic, Stephane Cullati, and Bernhard Egger. Risk factors for pancreatic cancer in patients with new onset diabetes - Systematic Review and Meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.2.0065.

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Review question / Objective: Which additional risk factors raise the incidence of pancreatic cancer in the population of new onset diabetics? Condition being studied: Pancreatic cancer, new onset diabetes. Eligibility criteria: Inclusion criteria are:• English abstract available• The population of newly onset diabetics is examined, at least as a subgroup. Newly diagnosed is defined as onset of maximal 3 years ago.• Information on other risk factors of patients is available in the study.
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Cheng, Fangqun, Biyun Ye, Ying Tang, et al. Risk factors for deep vein thrombosis in patients with cerebral hemorrhage: a systematic review and meta-analysis. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, 2022. http://dx.doi.org/10.37766/inplasy2022.3.0068.

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Review question / Objective: To identify the risk factors of deep venous thrombosis in patients with cerebral hemorrhage. Eligibility criteria: Inclusion criteria: ①Comply with the “Guidelines for diagnosis of cerebral hemorrhage in China”[7] or “Guidelines for the management of spontaneous intracerebral hemorrhage in the United States”[37], or be diagnosed as ICH in combination with brain CT, MRI, and cerebral angiography; ②Age ≥18 years old; ③Ultrasonography or color polygraph Pler ultrasonography confirmed DVT; ④ The study type was cohort study or case-control study; ⑤ Newcastle-Ottawa Scale (NOS) [8] score ≥ 6 points; ⑥ The language was limited to Chinese and English. Exclusion criteria: ① Repeated publications; ② Studies without full text, incomplete information, or data extraction impossible.
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Kucherova, Hanna, Anastasiia Didenko, Olena Kravets, Yuliia Honcharenko, and Aleksandr Uchitel. Scenario forecasting information transparency of subjects' under uncertainty and development of the knowledge economy. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/4469.

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Topicality of modeling information transparency is determined by the influence it has on the effectiveness of management decisions made by an economic entity in the context of uncertainty and information asymmetry. It has been found that information transparency is a poorly structured category which acts as a qualitative characteristic of information and at certain levels forms an additional spectrum of properties of the information that has been adequately perceived or processed. As a result of structuring knowledge about the factor environment, a fuzzy cognitive model of information transparency was constructed in the form of a weighted digraph. Structural analysis and scenario forecasting of optimal alternatives of the fuzzy cognitive model made it possible to evaluate the classes of factors, identify their limited relations, establish the centrality of the roles of information transparency and information and communication security in the system built and evaluate their importance when modeling the situation self-development. Information visibility, reliability and availability have been found to have the strongest impact on the system. Taking into account different initial weights of the key factors — information transparency and information and communication security — the study substantiates the strategic ways for economic entities to achieve their goals in the context of uncertainty and information asymmetry, which allows us to use this approach as a tool for strategic management in the information environment.
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Michalak, Julia, Josh Lawler, John Gross, and Caitlin Littlefield. A strategic analysis of climate vulnerability of national park resources and values. National Park Service, 2021. http://dx.doi.org/10.36967/nrr-2287214.

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The U.S. national parks have experienced significant climate-change impacts and rapid, on-going changes are expected to continue. Despite the significant climate-change vulnerabilities facing parks, relatively few parks have conducted comprehensive climate-change vulnerability assessments, defined as assessments that synthesize vulnerability information from a wide range of sources, identify key climate-change impacts, and prioritize vulnerable park resources (Michalak et al. In review). In recognition that funding and planning capacity is limited, this project was initiated to identify geographies, parks, and issues that are high priorities for conducting climate-change vulnerability assessments (CCVA) and strategies to efficiently address the need for CCVAs across all U.S. National Park Service (NPS) park units (hereafter “parks”) and all resources. To help identify priority geographies and issues, we quantitatively assessed the relative magnitude of vulnerability factors potentially affecting park resources and values. We identified multiple vulnerability factors (e.g., temperature change, wildfire potential, number of at-risk species, etc.) and sought existing datasets that could be developed into indicators of these factors. To be included in the study, datasets had to be spatially explicit or already summarized for individual parks and provide consistent data for at least all parks within the contiguous U.S. (CONUS). The need for consistent data across such a large geographic extent limited the number of datasets that could be included, excluded some important drivers of climate-change vulnerability, and prevented adequate evaluation of some geographies. The lack of adequately-scaled data for many key vulnerability factors, such as freshwater flooding risks and increased storm activity, highlights the need for both data development and more detailed vulnerability assessments at local to regional scales where data for these factors may be available. In addition, most of the available data at this scale were related to climate-change exposures, with relatively little data available for factors associated with climate-change sensitivity or adaptive capacity. In particular, we lacked consistent data on the distribution or abundance of cultural resources or accessible data on infrastructure across all parks. We identified resource types, geographies, and critical vulnerability factors that lacked data for NPS’ consideration in addressing data gaps. Forty-seven indicators met our criteria, and these were combined into 21 climate-change vulnerability factors. Twenty-seven indicators representing 12 vulnerability factors addressed climate-change exposure (i.e., projected changes in climate conditions and impacts). A smaller number of indictors measured sensitivity (12 indicators representing 5 vulnerability factors). The sensitivity indicators often measured park or landscape characteristics which may make resources more or less responsive to climate changes (e.g., current air quality) as opposed to directly representing the sensitivity of specific resources within the park (e.g., a particular rare species or type of historical structure). Finally, 6 indicators representing 4 vulnerability factors measured external adaptive capacity for living resources (i.e., characteristics of the park and/or surrounding landscape which may facilitate or impede species adaptation to climate changes). We identified indicators relevant to three resource groups: terrestrial living, aquatic living (including living cultural resources such as culturally significant landscapes, plant, or animal species) and non-living resources (including infrastructure and non-living cultural resources such as historic buildings or archeological sites). We created separate indicator lists for each of these resource groups and analyzed them separately. To identify priority geographies within CONUS,...
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Hossain, Niamat Ullah Ibne, Raed Jaradat, Seyedmohsen Hosseini, Mohammad Marufuzzaman, and Randy Buchanan. A framework for modeling and assessing system resilience using a Bayesian network : a case study of an interdependent electrical infrastructure systems. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/40299.

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This research utilizes Bayesian network to address a range of possible risks to the electrical power system and its interdependent networks (EIN) and offers possible options to mitigate the consequences of a disruption. The interdependent electrical infrastructure system in Washington, D.C. is used as a case study to quantify the resilience using the Bayesian network. Quantification of resilience is further analyzed based on different types of analysis such as forward propagation, backward propagation, sensitivity analysis, and information theory. The general insight drawn from these analyses indicate that reliability, backup power source, and resource restoration are the prime factors contributed towards enhancing the resilience of an interdependent electrical infrastructure system.
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10

Iyer, Ananth V., Samuel Labi, Steven Dunlop, Thomas Brady Jr., and Eki Amijaya. Cost and Benefit Analysis of Installing Fiber Optics on INDOT Projects. Purdue University, 2020. http://dx.doi.org/10.5703/1288284317131.

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The Indiana Department of Transportation (INDOT) is tasked with the stewardship of billions of dollars’ worth of public invested highway infrastructure. Not only does INDOT continually seek design and operational policies that foster cost effective project delivery and procurement, they also seek opportunities for revenue generation. Due to population growth and the increased demand for online connectivity and global information transmission, the fiber-optic cable industry has experienced rapid growth over the past few years. Information and communication technology (ICT) companies have long sought to achieve higher economic productivity by installing fiber-optic cables in the right of way (ROW) of access-controlled highways. Based on these developments, an experiment was conducted to measure the economic impact in Indiana. To determine this impact, a database was developed by compartmentalizing the analysis into (1) GDP per county per industry type, (2) the natural growth of GDP as a factor, and (3) the extent of contribution of broadband in the growth of GDP. A general formula was developed to incorporate the adjusted median income on both the industry and county levels, along with a broadband contribution factor. This formula was employed to determine policies that can produce optimum economic outcome by leveraging the Pareto method.
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