Relevant bibliographies by topics / Information factors

Contents

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

Academic literature on the topic 'Information factors'

Author: Grafiati
Published: 28 May 2022

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Journal articles on the topic "Information factors"

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Borgstede, Chris von, and Kristin Andersson. "Environmental Information—Explanatory Factors for Information Behavior." Sustainability 2, no. 9 (September 2, 2010): 2785–98. http://dx.doi.org/10.3390/su2092785.

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White, Garry, and Ju Long. "Global Information Security Factors." International Journal of Information Security and Privacy 4, no. 2 (April 2010): 49–60. http://dx.doi.org/10.4018/jisp.2010040104.

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The Internet has changed security and because the Internet is borderless, security threats are now on a global scale. In this paper, the authors explore the global nature of information security from the perspectives of corporate professionals. Through an empirical study with corporate professionals, who have first-hand information security knowledge, the authors confirm that the proposed knowledge topics are relevant toward a comprehensive understanding of information security issues. Analyzing the empirical data, the authors found two global security factors: business protection of data and government/social issues.
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Янченко, Вадим Николавевич, Александр Владимирович Ивченко, Вильям Александрович Залога, and Оксана Дмитриевна Дынник. "Information security factors systematization." Technology audit and production reserves 5, no. 6(25) (September 22, 2015): 30. http://dx.doi.org/10.15587/2312-8372.2015.51111.

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Meyer, R. "A Biomedical Informatics Perspective on Human Factors - How Human Factors Influence Information Technology Adoption." Yearbook of Medical Informatics 20, no. 01 (August 2011): 58–62. http://dx.doi.org/10.1055/s-0038-1638739.

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Summaryto select and summarize excellent research published in 2010 in the field of bio-medical informatics human factors.we attempt to derive a synthetic overview of the activity and new trends in this field, from a selection of worldwide research papers published during 2010.this year again, healthcare information technology (HIT) adoption occupies a central role in the field and leads to research focused mainly on measuring impact and factors influencing it. One of the selected papers especially dissects the anatomy of a nationwide personal electronic health record adoption failure.Due to the vast and increasing amount of excellent works, choosing the best papers in human factors is a challenge. More and more the published work takes into account fundamental principles expressed in Grudin’s Laws, one form of which is: “When those who beneût from a technology are not those who do the work, then the technology is likely to fail or be subverted.”.
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Chen, Ruey-Shun, Chia-Ming Sun, Marilyn M. Helms, and Wen-Jang (Kenny) Jih. "Factors Influencing Information System Flexibility." International Journal of Enterprise Information Systems 5, no. 1 (January 2009): 32–43. http://dx.doi.org/10.4018/jeis.2009010103.

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Zammani, Mazlina, and Rozilawati Razali. "Information Security Management Success Factors." Advanced Science Letters 22, no. 8 (August 1, 2016): 1924–29. http://dx.doi.org/10.1166/asl.2016.7746.

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Arguello, Jaime, Bogeum Choi, and Robert Capra. "Factors Influencing Users’ Information Requests." ACM Transactions on Information Systems 36, no. 4 (October 10, 2018): 1–37. http://dx.doi.org/10.1145/3209624.

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Goles, Tim, and Wynne W. Chin. "Information systems outsourcing relationship factors." ACM SIGMIS Database: the DATABASE for Advances in Information Systems 36, no. 4 (October 7, 2005): 47–67. http://dx.doi.org/10.1145/1104004.1104009.

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Williams, Michelle Hale, and Jocelyn Jones Evans. "Factors in Information Literacy Education." Journal of Political Science Education 4, no. 1 (January 28, 2008): 116–30. http://dx.doi.org/10.1080/15512160701816234.

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Whyte, Grafton, and Andy Bytheway. "Factors affecting information systems’ success." International Journal of Service Industry Management 7, no. 1 (March 1996): 74–93. http://dx.doi.org/10.1108/09564239610109429.

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Dissertations / Theses on the topic "Information factors"

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Fang, Li, and Sylvia Patrecia. "Critical Success Factors in ERP Implementation." Thesis, Jönköping University, JIBS, Business Informatics, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-219.

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ERP systems link together an organization’s strategy, structure, and business processes with the IT system. The different way of handling the process of ERP implementation brings about many success and failure stories. By doing research on 1) what are the critical success factors in the implementation of ERP 2) why are these factors critical 3) what is the criticality degree of each factor 4) how important are these factors for customers, consultants, and vendors, the report aims to to identify the critical success factors in ERP implementation and understand the criticality degree of each factor from the perspectives of three parties (companies, consultants & vendors).

The research is proceeded with combined methods of qualitative and quantitative. The qualitative method for the interviews was chosen in order to get the information in depth. A semi-structured interview helps to provide some basic questions as guideline.

Furthermore, the quantitative approach contributes to manipulating the data for a more comprehensive analysis of empirical findings. This report states 11 CSFs (Critical Success Factors) from three points of view: strategic, tactical, and cultural. They are: Top management support and ERP strategy, Business Process Reengineering, Project team & change management, Retain the experienced employee, Consultant and vendor support, Monitoring and evaluation of performance, Problems anticipation (troubleshooting, bugs, etc.), Organizational culture, Effective communication, and Cultural diversity. By testing the perceived CSFs in six respondents (VSM Group, Scania, Sogeti, SYSteam, Oracle, and SAP), this report puts the 11 factors into three overall ranks (most critical, medium critical, and less critical), gains 3 other new critical factors (testing, business model, and client’s resources), and clarifies the diverse opinions about CSFs from customers/companies, consultants, and vendors. The most critical factors are Top management support, BPR, Project team & change management, and Effective communication. The medium critical factors go to ERP strategy, Consultant and vendor support, and Organizational culture. And the remaining 4 factors belong to less critical category.

For the differences, their agreement comes into the 4 most critical factors. In monitoring and evaluation of performance they agree on its less criticality. All customers, consultants and vendors have quite different opinions about the remaining 6 factors.

Reviewing the research questions, this report has fulfilled the main objectives and purpose. With better understanding of the comprehensive identification of CSFs and criticality rank of each factor, management will be able to judge and allocate essential resources that are required to bring ERP implementation into success.

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Aghaunor, Lavin, and Xavieria Fotoh. "Factors Affecting ecommerce adoption in Nigerian Banks." Thesis, Jönköping University, JIBS, Business Informatics, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-477.

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Kfutwa, Fukah. "Motivational Factors for Growth in Small and Medium Sized Enterprises (SMEs) : Information Technology Perspective." Thesis, Jönköping University, JIBS, Business Informatics, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-844.

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Small and Medium Size Enterprises (SMEs) constitute the backbone of many economies in the world today. This is because they are creating new jobs and contributing positively to their respective economies in which Sweden is not an exception and par-ticularly the municipality of Jonkoping. SMEs invest in IT to gain access to integration of transactions oriented data and business processes.

This thesis, motivational factors for growth in SMEs – (IT perspective) give an overview of how SMEs grow as a result of the introduction and implementation of IT. Information Technology (IT) is seen to be a motivational factor for the growth of SMEs. This is because it acts like an enabler to their businesses and the current business environment.

To answer the research question, I conducted an empirical study of some companies in Jonkoping that are using IT as a motivational factor for growth. Interviews were con-ducted through the use of a structured questionnaire and to a lesser extent, unstructured questionnaire.

Results from studies portrayed that, these companies introduced and implemented IT as a motivational factor for similar reasons though with different objectives.

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Sehele, Abdulallah A. A. "Success factors in information technology projects." Thesis, University of Bradford, 2015. http://hdl.handle.net/10454/14420.

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Concern for project failures and successes have posed a controversial and much debated topic amongst scholars and practitioners alike. IT projects are no exceptions and they too suffer from a high rate of failure. This research aims to explore the reasons why certain IT projects succeed). Besides its academic importance, the research intends to assess the implications for successful implementation of current and future IT projects. The review of the extant literature reveals the enormity of the challenges involved in minimising or avoiding project failures. Present work is contextualizing these issues in a large national organisation with branches throughout the KSA. The Saudi Arabia constitutes the case study for this research. Qualitative methodology was adopted to generate and collect adequate and relevant data. Main instruments were; Semi-structured interviews involving senior managers in five geographical areas who were involved in the management of the IT projects and selected project documents. Thematic analysis was used and led to emergence of seven main ‘themes’, 19 major ‘issues’, and the construction of the first time generic model for success of IT projects. The core issues identified in the model are: Quality, Time and Cost at three levels; individual, organisation and environment with specific order of importance. The implications of the findings for the theory and practice have been identified. It is also recommended that there is a need for further research into individual and contextual factors that influence both managers as well as the circumstances under which IT projects are implemented.
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Fulcher, Áine Bridget. "Information-processing factors in childhood anxiety." Thesis, University of Southampton, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.423224.

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Jawad, Ali Qassim. "Factors for success in acquiring information technology." Thesis, Cranfield University, 1995. http://hdl.handle.net/1826/3352.

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The acquisition of new IT systems is expensive and risky. Systems often fail to provide the expected services, or may commit an organisation to a particular long-term solution to its information management needs which can be very costly to change. The purpose of this research was to help organisations to manage the IT acquisition process with greater chances of success. In this research `Acquisition of IT' means the whole process of initiating, implementing and then using an information technology system. The approach taken was to identify success factors for IT acquisition. A large number of actual acquisition cases were examined, and a list was compiled of factors reported by people involved in these cases to affect their success or otherwise. The relative importances of these factors were then measured quantitatively by correlating the degree to which each factor was present in the cases, with the degree of success of the cases. This work has produced: a comprehensive list of factors to be considered; a method of defining what is meant by success for a given project; a description of the acquisition project lifecycle; and an identification of the different roles played by different people within an organisation. It is shown how to integrate these considerations into a structured approach to managing IT acquisitions. This integrated approach is called the Success Map. Three mini case studies were included, and one of these was analysed in the light of the findings. In a supplementary section, fifteen guiding principles for people involved in an IT acquisition are presented.
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Markevičiūtė, Lina. "Information factors of quality management system maturity." Doctoral thesis, Lithuanian Academic Libraries Network (LABT), 2009. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2009~D_20091024_103844-64497.

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Successful quality management systems proceeding and continual development, that determine systems maturity, is not self-contained phenomenon. Persuading for quality management systems maturity, organization must create suitable conditions for that. Organization must determine maturity factors and tend for these factors suitable impact to quality management system. Information factors are ascribable to factors, that determinate quality management systems maturity. But still now, the whole of information factors is not institutionalized sustaining by information since theoretical base. Characteristics of these information factors are defined insufficiently too. Defined uncertainty direct, why organizations can’t create suitable conditions for quality management systems maturity. These problems incite the research purpose – indicate the whole of informational factors, that impact quality management systems maturity, and clarify theirs influence to system development.
Sėkmingas kokybės vadybos sistemos funkcionavimas, nuolatinis sistemos tobulinimas, sąlygojantis sistemos brandą, nėra savaiminis reiškinys. Siekdamos kokybės vadybos sistemos brandos organizacijos privalo sukuti tam tinkamas sąlygas: identifikuoti brandos veiksnius ir rūpintis jų tinkama įtaka. Informaciniai veiksniai yra priskiriami veiksnių, lemiančių kokybės vadybos sistemos brandą, kategorijai. Tačiau iki šiol, informacinių veiksnių visuma, įtakojanti kokybės vadybos sistemų brandą, nėra identifikuota remiantis informacijos mokslų teorine baze. Nepakankamai apibrėžtos ir veiksnių charakteristikos, užtikrinančios tinkamą įtaką kokybės vadybos sistemoms. Per didelė entropija šiais klausimais lemia tai, kad organizacijos nesugeba sudaryti tinkamų sąlygų savo kokybės vadybos sistemų brandai. Įvardintos problemos skatina formuluoti tokį mokslinio tyrimo tikslą – identifikuoti kokybės vadybos sistemos brandos informacinių veiksnių visumą, išaiškinant jų įtaką sistemos brandai.
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Abrams, David. "Human factors of personal Web information spaces." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/MQ51586.pdf.

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Kaniclides, Antonis. "Critical factors in executive information systems implementation." Thesis, University of York, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387555.

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Afolabi, Jonathan Olubunmi. "Initiating Factors Affecting Information Systems Project Success." ScholarWorks, 2018. https://scholarworks.waldenu.edu/dissertations/4706.

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Information systems (IS) projects are complex and costly, but only a 3rd of IS projects are successful; the Standish Group reported that 32% of IS projects were successful in 2012. Although investments in research have led to improvements in practice, there is a general perception that management failures are responsible for the low rate of IS project success. The effects of initiating factors on project outcome had not been sufficiently explored; few IS researchers have explored the initiation phase. The purpose of this grounded theory study was to explore project initiation factors, including relational, as well as decision-making aspects, and how they might be addressed to enhance the possibility of success. The research questions were oriented at identifying key initiation factors, how they might be managed to promote project success, and how decision-making factors at initiation might facilitate project success. A conceptual framework consisting of chaos theory and Ashby's law of requisite variety was used. Purposive and snowballing sampling techniques were used, and 24 IS managers and project managers were interviewed. A 3-stage data analysis approach was used and included open coding, focused coding, and theoretical coding. Key themes identified included project governance and management, as well as stakeholder engagement. The emergent theory of IS project initiation indicated that the factors represented by the themes must be identified during initiation but implemented throughout the project lifecycle to ensure project success. Positive social change may be realized as IS managers, and project managers apply the findings and recommendations to achieve project success and avoid costly failures thus benefiting both companies and customers.
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Books on the topic "Information factors"

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Whyte, Grafton. Factors affecting information systems success. Cranfield: Cranfield University, 1995.

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Sucess factors for fee-based information services. Esbo: NORDINFO, 1996.

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Baker, William E. Factors affecting information search for consumer durables. Cambridge, Mass: Marketing Science Institute, 1992.

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Abrams, David. Human factors of personal Web information spaces. Toronto: University of Toronto, Dept. of Computer Science, 1997.

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Baker, William E. Factors affecting information search for consumer durables. Cambridge, Mass: Marketing Science Institute, 1992.

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Shackel, Brian, and Simon Richardson, eds. Human Factors for Informatics Usability. Cambridge: Cambridge University Press, 1991.

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Fowkes, Richard S. Human Factors in Mining Search System. Washington, DC: U.S. Dept. of the Interior, 1989.

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Fowkes, Richard S. Human Factors in Mining Search System. Pgh. [i.e Pittsburgh] Pa: U.S. Dept. of the Interior, 1990.

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Fowkes, Richard S. Human Factors in Mining Search System. Washington, DC: Dept. of the Interior, 1990.

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Human factors for technical communicators. New York: Wiley, 1996.

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Book chapters on the topic "Information factors"

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Seedhouse, Erik, Anthony Brickhouse, Kimberly Szathmary, and E. David Williams. "Information Processing." In Human Factors in Air Transport, 99–124. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-13848-6_6.

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Beulen, Erik, and Pieter M. Ribbers. "Governance factors." In Managing Information Technology Outsourcing, 171–211. 3rd ed. London: Routledge, 2021. http://dx.doi.org/10.4324/9781003223788-9.

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North, Chris. "Information Visualization." In Handbook of Human Factors and Ergonomics, 1222–45. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0470048204.ch46.

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Wickens, Christopher D., and C. Melody Carswell. "Information Processing." In Handbook of Human Factors and Ergonomics, 111–49. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0470048204.ch5.

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North, Chris. "Information Visualization." In Handbook of Human Factors and Ergonomics, 1209–36. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118131350.ch43.

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Wickens, Christopher D., and C. Melody Carswell. "Information Processing." In Handbook of Human Factors and Ergonomics, 117–61. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781118131350.ch5.

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Wiggins, Mark W. "Information Processing." In Introduction to Human Factors for Organisational Psychologists, 85–95. New York: CRC Press, 2022. http://dx.doi.org/10.1201/9781003229858-11.

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Samara, Tarek. "Correlation Between Research Factors." In ERP and Information Systems, 49–69. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2015. http://dx.doi.org/10.1002/9781119232643.ch5.

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Andersson, Bo, and Stefan Henningsson. "Accentuated Factors of Handheld Computing." In Information Systems Development, 293–304. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-4951-5_24.

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Schultz, E. Eugene. "Human Factors and Information Security." In Handbook of Human Factors and Ergonomics, 1262–74. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/0470048204.ch48.

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Conference papers on the topic "Information factors"

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Lee, Alfred T. "Human Factors and Information Transfer." In Human Error Avoidance Techniques Conference. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1989. http://dx.doi.org/10.4271/892607.

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Yurtaev, Sergey. "Text Factors of Schoolchildren Information." In Proceedings of the International Conference Communicative Strategies of Information Society (CSIS 2018). Paris, France: Atlantis Press, 2019. http://dx.doi.org/10.2991/csis-18.2019.94.

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Minneman, Scott, S. Joy Mountford, Natalie Jeremijenko, Krzysztof Wodiczko, Anthony Turner, and Mike Davis. "Public information." In CHI98: ACM Conference on Human Factors and Computing Systems. New York, NY, USA: ACM, 1998. http://dx.doi.org/10.1145/286498.286538.

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Al-Tameem, Ahmad, Mohamed Zairi, and Mumtaz Kamala. "Critical factors of information security implementation." In 2009 First International Conference on Networked Digital Technologies (NDT). IEEE, 2009. http://dx.doi.org/10.1109/ndt.2009.5272217.

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Alnatheer, Mohammed A. "Information Security Culture Critical Success Factors." In 2015 12th International Conference on Information Technology - New Generations (ITNG). IEEE, 2015. http://dx.doi.org/10.1109/itng.2015.124.

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Angchun, Peemasak, Philip Turner, Lin Lin, and Daniel Alemneh. "Factors affecting selection of information sources." In the 2011 iConference. New York, New York, USA: ACM Press, 2011. http://dx.doi.org/10.1145/1940761.1940850.

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Yue-mei, Zhang, and Li Yan-xi. "Information Disclosure Quality: Factors and Measurement." In 2008 International Conference on Computer Science and Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/csse.2008.1128.

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Baskaya, Feza, Heikki Keskustalo, and Kalervo Järvelin. "Modeling behavioral factors ininteractive information retrieval." In the 22nd ACM international conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2505515.2505660.

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Nurhidayati, Fitriasari, Dana Indra Sensuse, and Handrie Noprisson. "Factors influencing accounting information system implementation." In 2017 International Conference on Information Technology Systems and Innovation (ICITSI). IEEE, 2017. http://dx.doi.org/10.1109/icitsi.2017.8267957.

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McKnight, D. Harrison, and Charles J. Kacmar. "Factors and effects of information credibility." In the ninth international conference. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1282100.1282180.

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Reports on the topic "Information factors"

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Schaab, Brooke, Arwen H. DeCostanza, and Chadwick Hixson. Behavioral, Attitudinal, and Cultural Factors Influencing Interagency Information Sharing. Fort Belvoir, VA: Defense Technical Information Center, May 2011. http://dx.doi.org/10.21236/ada554024.

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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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Beaudet, Douglas B., Dennis L. Price, Gilbert G. Kuperman, and Denise L. Wilson. Human Factors Report on Information Management Requirements for Next- Generation Manned Bombers. Fort Belvoir, VA: Defense Technical Information Center, December 1987. http://dx.doi.org/10.21236/ada195870.

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Crotts, Derik W. Operational Implications of Public Affairs - Factors, Functions, and Challenges of the Information Battlefield. Fort Belvoir, VA: Defense Technical Information Center, May 2005. http://dx.doi.org/10.21236/ada463400.

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Locke, Donald C., and Jr. Psychological Factors and the Enemy Leader: Can Information be Used to Facilitate Surrender? Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada389633.

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Stanford, Derek C., and Adrian E. Raftery. Determining the Number of Colors or Gray Levels in an Image Using Approximate Bayes Factors: The Pseudolikelihood Information Criterion (PLIC). Fort Belvoir, VA: Defense Technical Information Center, February 2001. http://dx.doi.org/10.21236/ada459788.

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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.], October 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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Eisemann, Eve, Catherine Thomas, Matthew Balazik, Damarys Acevedo-Mackey, and Safra Altman. Environmental factors affecting coastal and estuarine submerged aquatic vegetation (SAV). Engineer Research and Development Center (U.S.), October 2021. http://dx.doi.org/10.21079/11681/42185.

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Submerged aquatic vegetation (SAV) growing in estuarine and coastal marine systems provides crucial ecosystem functions ranging from sediment stabilization to habitat and food for specific species. SAV systems, however, are sensitive to a number of environmental factors, both anthropogenic and natural. The most common limiting factors are light limitation, water quality, and salinity, as reported widely across the literature. These factors are controlled by a number of complex processes, however, varying greatly between systems and SAV populations. This report seeks to conduct an exhaustive examination of factors influencing estuarine and coastal marine SAV habitats and find the common threads that tie these ecosystems together. Studies relating SAV habitats in the United States to a variety of factors are reviewed here, including geomorphological and bathymetric characteristics, sediment dynamics, sedimentological characteristics, and water quality, as well as hydrologic regime and weather. Tools and methods used to assess each of these important factors are also reviewed. A better understanding of fundamental environmental factors that control SAV growth will provide crucial information for coastal restoration and engineering project planning in areas populated by SAVs.
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9

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, January 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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10

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, February 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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