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Статті в журналах з теми "Analysis of information factors"

Автор: Grafiati

Опубліковано: 30 травня 2022

Оновлено: 31 травня 2022

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1

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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Анотація:

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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2

Library Association, American. "External factors analysis statement." College & Research Libraries News 46, no. 11 (December 1, 1985): 607–8. http://dx.doi.org/10.5860/crln.46.11.607.

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3

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 (April 30, 2011): 121–49. http://dx.doi.org/10.1633/jim.2011.42.2.121.

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4

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 (March 1998): 50–68. http://dx.doi.org/10.1518/001872098779480532.

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5

Kim, Dong-Moon. "Analysis of Risk Factors of Sinkholes with Geospatial Information." Convergence Society for SMB 6, no. 4 (December 31, 2016): 37–43. http://dx.doi.org/10.22156/cs4smb.2016.6.4.037.

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6

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 (November 30, 2016): 143. http://dx.doi.org/10.14801/jkiit.2016.14.11.143.

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7

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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8

Gulai, A. V., and V. M. Zaytsev. "ANALYSIS OF INFORMATION FACTORS FOR DESIGNING INTELLECTUAL MECHATRONIC SYSTEM." Science & Technique 15, no. 4 (January 1, 2016): 335–44. http://dx.doi.org/10.21122/2227-1031-2016-15-4-335-344.

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9

Ren, Fang. "Information Philosophy Analysis of Traditional Culture Factors Affect Behavior." Proceedings 1, no. 3 (July 7, 2017): 70. http://dx.doi.org/10.3390/is4si-2017-04050.

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10

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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11

Zhao, Rongying, and Yu Bo. "Analysis of the original influencing factors and secondary influencing factors of academic papers." Library Hi Tech 38, no. 2 (December 18, 2019): 446–57. http://dx.doi.org/10.1108/lht-04-2019-0091.

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Purpose The influencing factors of academic papers have always been the focus of attention in the field of Scientometrics. Exploring the influencing factors of altmetrics indicators and traditional literature indicators on academic papers is beneficial to better explore the potential significance and value of academic papers in the evaluation of scientific research. The paper aims to discuss these issues. Design/methodology/approach Based on the latest JCR citation report, this paper selects 22 academic journals in the JIF Quartile Q1 journal of Information Science and Library Science, and then obtains the evaluation data of these journal papers from WOS database and Altmetric.com. This paper uses literature measurement, correlation analysis and regression analysis to explore the influencing factors of the paper. Findings The results show that the original influencing factors of academic papers have a significant impact on secondary influencing factors. What is more obvious is that the number of references (nr) presents a significant positive correlation with the total number of times (Z9), the number of uses (U1) and (U2). Originality/value This paper combines traditional literature indicators with Altmetrics indicators to study the influencing factors through primary influencing factors and secondary influencing factors. Through research, it denies the phenomenon that academic circles have published academic papers in the world in recent years to overemphasize certain factors to improve the influence of the paper.

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12

Gulliksen, Jan, Magnus Lif, Mats Lind, Else Nygren, and Bengt Sandblad. "Analysis of Information Utilization (AIU)." International Journal of Human-Computer Interaction 9, no. 3 (September 1997): 255–82. http://dx.doi.org/10.1207/s15327590ijhc0903_4.

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13

Durso, F. T., A. Sethumadhavan, and J. Crutchfield. "Linking Task Analysis to Information Relevance." Human Factors: The Journal of the Human Factors and Ergonomics Society 50, no. 5 (October 1, 2008): 755–62. http://dx.doi.org/10.1518/001872008x312369.

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14

SUTCLIFFE, ALISTAIR. "Task-related information analysis." International Journal of Human-Computer Studies 47, no. 2 (August 1997): 223–57. http://dx.doi.org/10.1006/ijhc.1997.0118.

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15

Perry, Nicolas, Alexandre Candlot, and Corne Schutte. "Factors of Success Analysis and Comparison." Journal of Decision Systems 19, no. 1 (January 2010): 75–91. http://dx.doi.org/10.3166/jds.19.75-91.

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16

Hesniati, Hesniati. "ANALYSIS OF FACTORS INFLUENCING INVESTMENT DECISION." Journal of Global Business and Management Review 2, no. 1 (July 6, 2020): 13. http://dx.doi.org/10.37253/jgbmr.v2i1.805.

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Gold presents as important role in an investor's portfolio because it provides stability of returns and favorable opportunity to improve investor wealth. Investment decision making depend on intrinsic factor investor behavior. Therefore, this study aims to investigate the impact of behavioral finance toward investment decision in gold instrument. Anchoring, availability bias, information asymmetry, representative bias, and risk aversion are chosen as behavioral finance factors. This study is conducted in Batam City Indonesia with 143 respondents and analysed using multiple linear regression analysis. Findings reveal behavioral factors such as information asymmetry and availability bias have significant impact on investment decision. However, the other independent variables do not have significant impact on investment decision.

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17

Akatsu, Masaharu, and Norihisa Komoda. "Analysis of Factors Obstructive to a Value of Information Technology." IEEJ Transactions on Electronics, Information and Systems 122, no. 5 (2002): 753–59. http://dx.doi.org/10.1541/ieejeiss1987.122.5_753.

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18

Eun-Jeong Hyun and 임경호. "Analysis on visual factors of disaster information design by media." Journal of Korea Design Forum ll, no. 51 (May 2016): 7–18. http://dx.doi.org/10.21326/ksdt.2016..51.001.

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19

Ankem, Kalyani. "Factors influencing information needs among cancer patients: A meta-analysis." Library & Information Science Research 28, no. 1 (March 2006): 7–23. http://dx.doi.org/10.1016/j.lisr.2005.11.003.

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20

Jin, Hyun-Woong. "Analysis of Factors Affecting the Benefits of Demand Information Sharing." E+M Ekonomie a Management 22, no. 3 (September 5, 2019): 204–19. http://dx.doi.org/10.15240/tul/001/2019-3-013.

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21

Khedher, Moataz Bellah Ben, Choong Heon Yang, Jin Guk Kim, and Duk Geun Yun. "Analysis of factors affecting drivers’trust in road-freezing risk information." International Journal of Highway Engineering 21, no. 4 (August 31, 2019): 87–93. http://dx.doi.org/10.7855/ijhe.2019.21.4.087.

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22

Bilyi, Dmytro, Alona Hierdieva, Maksym Herhaulov, and Viacheslav Vakulyk. "Analysis of prognostic factors for feline mammary tumours (overview information)." Scientific Horizons 23, no. 10 (October 28, 2020): 99–109. http://dx.doi.org/10.48077/scihor.23(10).2020.99-109.

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Анотація:

An analysis of the results of modern studies on the importance of clinical and pathomorphological factors as predictors of feline mammary tumours is presented. The urgency of the problem of predicting the development of cancer in this species is conditioned by the possibility of their use as biological models in human medicine, high level of incidence, significant share in the distribution of malignant types of tumours, and controversial issues of etiology and pathogenesis. Despite significant developments in the study of causal relationships with regard to mammary neoplasms, the use of different methodological approaches to assess the quantitative and qualitative characteristics of tumours, often in combination with insufficient sampling in groups does not allow to objectively assess the degree of malignancy and invasive potential both in a particular animal and in a group of patients, and therefore – to predict their behaviour. Generalization of available information on the peculiarities of the clinical course and pathomorphological changes in mammary tumours is necessary for further formation of a unified register of neoplasms in cats, which will be the basis for better understanding of the mechanisms of carcinogenesis, identification of promising biological targets, development and clinical implementation of pathogenetically based effective protocols for the treatment and prevention of cancer in cats. The lack of a unified approach to the verification of neoplasions makes it difficult, and in some cases impossible, to use cancer such predictors as histologic type, tumour size, clinical stage, angio- and lymphoinvasion, patient life expectancy and recurrence-free period as independent predictive factors. A large amount of clinical material has been accumulated, mainly presented in a descriptive form, without correlation with other causative factors. Along with the indicated predictors of carcinogenesis, in recent years, the role of cyclooxygenase-2 expression in the mechanisms of development and progression of feline mammary tumors has been actively studied, the influence on which allows obtaining a complex (multidirectional) therapeutic effect. Prospects for further research are the unification of clinical and pathomorphological diagnostic criteria and the establishment of a database of cats with cancer

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23

Krakowska, Monika. "Affective Factors in Human Information Behavior: A Conceptual Analysis of Interdisciplinary Research on Information Behavior." Zagadnienia Informacji Naukowej - Studia Informacyjne 58, no. 1A(115A) (November 20, 2020): 75–95. http://dx.doi.org/10.36702/zin.725.

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Анотація:

Purpose/Thesis: The article contains theoretical and conceptual reflection and analysis of how emotions and other affective phenomena are defined and understood in contemporary research on human information behavior. The article draws attention to the interdisciplinary nature of research into affective information activities. Approach/Methods: The reported research employs a qualitative approach, relying on critical literature review, and conceptual and thematic analysis. The analyzed material came from select publications from 2014–2020. Results and Conclusions: Information science studies the role of emotions in information behavior. However, the application of the affective paradigm remains very limited. The affective understanding of information activities should be constantly expanded on an interdisciplinary basis with reference to theories and methods of other disciplines, such as psychology. Originality/Value: The article studies the development of the theoretical affective phenomenon paradigm and presents the most important approaches psychology takes to emotions. By analyzing the latest trends in the study of affective information behaviors, the study joins the collaborative effort to develop an agenda providing a theoretical and practical basis for the development of interdisciplinary research within the affective paradigm.

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24

Park, Sungbum, Sang-ug Kang, and Hangjung Zo. "Analysis of influencing factors on the IPTV subscription." Information Technology & People 29, no. 2 (June 6, 2016): 419–43. http://dx.doi.org/10.1108/itp-05-2014-0100.

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Purpose – The purpose of this paper is to examine how user-perceived video quality, measured by computer assisted web survey, interacts with content richness (CR) and interactivity (IA). It also analyzes how those internet protocol television (IPTV) idiosyncrasies impacts audience perceptions (perceived usefulness (PU) and perceived resistance (PR)) and actual subscriptions. Design/methodology/approach – A computer assisted web survey was administered in Korea to collect data. A structural equation model and Z-test analyses were conducted to address the research hypotheses. Findings – User-perceived video quality influences audience perceptions (PU and PR) through interaction with CR and IA. Subscriber perceptions have a causal relationship with IPTV subscriptions. Practical implications – Balanced improvement of the IPTV value chain, from content to technical (platform, network, and terminal) perspectives, are necessary for IPTV diffusion. Also, IPTV providers should establish the diffusion strategies, minimizing the user-perceived restrictiveness as well as maximizing the PU. Originality/value – This study shows computer assisted assessment of video quality can be applied to behavior science. The research model suggests PR, which has been relatively unnoticed is included in existing technology acceptance theories. The introduced antecedents of IPTV subscriptions can be referred to as key performance indicators regarding new media adoption studies.

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25

Abdu Al-esaiy, Mohammad, and Nagi Ali Al-Shaibany. "ANALYSIS OF INFORMATION SECURITY MANAGEMENT SYSTEM FRAMEWORKS." International Journal of Computer Science and Mobile Computing 10, no. 11 (November 30, 2021): 29–46. http://dx.doi.org/10.47760/ijcsmc.2021.v10i11.005.

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ISMS is a set of policies, activities, and procedures implemented by the Information Security Department to maintain the confidentiality, integrity, and availability of information from threats and risks. Activities and procedures include identifying security needs, strategies required for implementation, and measuring results for security improvement. This paper aims to review the previous literature to verify the factors that affect information security management. Examination of current information security frameworks and standards, and this paper concluded that, for an organization to adopt a specific framework, this framework must be evaluated based on the security needs of the organization. The framework must include all factors that affect information security from all organizational aspects, people, and technology. Otherwise, the organization will face difficulties and obstacles in implementing the framework and improving security.

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26

최상희. "An Analysis on Information Technological Factors in Job Qualifications of Librarians." Journal of Korean Library and Information Science Society 39, no. 1 (March 2008): 339–54. http://dx.doi.org/10.16981/kliss.39.1.200803.339.

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27

Abswaidi, Ramadhani, Sam Anael, and Kalegele Khamisi. "Analysis of factors influencing information access among rural communities in Tanzania." Journal of Agricultural Extension and Rural Development 9, no. 9 (September 30, 2017): 196–201. http://dx.doi.org/10.5897/jaerd2017.0890.

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28

Wei, Xing. "Analysis of Influence Factors of Voluntary Information Disclosure of Listed Companies." Applied Mechanics and Materials 687-691 (November 2014): 4695–99. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.4695.

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As development and maturity of China's capital market day by day, the information disclosure of listed companies to investors has higher and higher quality. At present, many listed companies want to obtain the trust and investment of investors, willing to disclose some information beyond the mandatory disclosure to provide for the investors. Many companies make voluntary information disclosure. However, there is a problem of voluntary information disclosure of listed companies in our country. This paper, through the study on the current status of the voluntary information disclosure of listed companies, finds out the influence factors of voluntary information disclosure and proposes the corresponding countermeasures for solving these problems.

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29

Bringula, Rex P. "Factors Affecting Web Portal Information Services Usability: A Canonical Correlation Analysis." International Journal of Human–Computer Interaction 32, no. 10 (July 7, 2016): 814–26. http://dx.doi.org/10.1080/10447318.2016.1199180.

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30

夏, 贝贝. "Analysis on Factors Affecting User Technology Acceptance in Information Service Activities." Advances in Social Sciences 05, no. 03 (2016): 381–91. http://dx.doi.org/10.12677/ass.2016.53053.

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31

GONIN, I. M., M. W. SMITH, M. K. DOWD, R. A. AKERSTROM-HOFFMAN, S. I. SIEGEL, C. M. PIZZARIELLO, and T. E. SCREIBER. "Human Factors Analysis of Electronic Chart Display and Information Systems (ECDIS)." Navigation 40, no. 4 (December 1993): 359–73. http://dx.doi.org/10.1002/j.2161-4296.1993.tb02314.x.

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32

Ohno, Tokushi, Kazumoto Morita, Michiaki Sekine, and Kenji Tanaka. "3208 Analysis of Information Factors of Elderly Drivers at the Braking." Proceedings of the Transportation and Logistics Conference 2005.14 (2005): 267–70. http://dx.doi.org/10.1299/jsmetld.2005.14.267.

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33

Lee, Eunyoung, Insook Cho, Seong Jin Cho, and Eunju Lee. "Information Resource Network Analysis of Factors Influencing Breastfeeding Planning and Duration." Journal of Korean Academy of Nursing 51, no. 2 (2021): 232. http://dx.doi.org/10.4040/jkan.20280.

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34

Tolah, Alaa, Steven M. Furnell, and Maria Papadaki. "An empirical analysis of the information security culture key factors framework." Computers & Security 108 (September 2021): 102354. http://dx.doi.org/10.1016/j.cose.2021.102354.

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35

张, 靖悦. "Factors Influencing Information Cocoons Based on Factor Analysis in Group Perspective." Modern Management 11, no. 12 (2021): 1298–310. http://dx.doi.org/10.12677/mm.2021.1112164.

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36

Chong, Alain Yee Loong, Markus Blut, and Shuning Zheng. "Factors influencing the acceptance of healthcare information technologies: A meta-analysis." Information & Management 59, no. 3 (April 2022): 103604. http://dx.doi.org/10.1016/j.im.2022.103604.

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37

Ridderstolpe, Lisa, Hans Gill, Magnus Borga, Hans Rutberg, and Hans Åhlfeldt. "Canonical Correlation Analysis of Risk Factors and Clinical Outcomes in Cardiac Surgery." Journal of Medical Systems 29, no. 4 (August 2005): 357–77. http://dx.doi.org/10.1007/s10916-005-5895-9.

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38

Narain Singh, Abhishek, M. P. Gupta, and Amitabh Ojha. "Identifying factors of “organizational information security management”." Journal of Enterprise Information Management 27, no. 5 (September 2, 2014): 644–67. http://dx.doi.org/10.1108/jeim-07-2013-0052.

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Анотація:

Purpose – Despite many technically sophisticated solutions, managing information security has remained a persistent challenge for organizations. Emerging IT/ICT media have posed new security challenges to business information and information assets. It is felt that technical solutions alone are not sufficient to address the information security challenge. It has been argued that organizations also need to consider the management aspects of information security. Consequently, literature, especially in the last decade, has witnessed various scholarly works in this direction. Therefore, a synthesis exercise is required to bring clarity on categorizing the issues of organizational information security management (ISM) to take the research forward. The purpose of this paper is to identify management factors that address organizational information security challenges. Design/methodology/approach – Using a mix method approach, the paper adopts the qualitative (keyword analysis and experts’ opinion) and quantitative (questionnaire survey) research routes. Exploratory factor analysis is conducted to find out the key factors of organizational ISM. Findings – The paper categorizes various organizational ISM functions into ten factors. Spanning across three levels (strategic, tactical and operational), these factors cover various management issues of organizational ISM. Originality/value – The paper takes the ISM literature forward by statistically validating the key management factors of organizational ISM. The study outcome should help to draw the attention of organizations toward the managerial challenges of organizational ISM.

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39

Zaman, Farakh, Jason Rife, James Intriligator, and Daniel Hannon. "Dynamic Information Needs Analysis: Understanding User Information Needs in Subterranean Warfare." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 64, no. 1 (December 2020): 1891–95. http://dx.doi.org/10.1177/1071181320641455.

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Анотація:

In this practice-oriented paper for human factors research, we describe our experiences piloting an exercise to understand how a moment-by-moment input device can be utilized to help understand soldiers information needs while conducting subterranean (sub-t) warfare and facilitate development of Augmented Reality (AR) displays for sub-t use. We created a sub-t environment using the Unity game engine and utilized students as subjects to facilitate experiment setup and validation. Little research is being done on what information soldiers need in a subterranean environment. Here we begin to investigate these information needs.

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40

Wang, Hua, Xian Yu Li, Xue Ning Wang, and Wei Na Liu. "The Software Support Analysis of Information System." Applied Mechanics and Materials 644-650 (September 2014): 2965–68. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2965.

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Анотація:

Based upon the synopsis of software support of information system, this paper puts forward main factors, integrated model and phase tasks of software support of information system, and gives description to software supportability analysis technology, software fault diagnosis technology, software fast recovery technology and software remote support technology so as to increase software support capabilities and information system effectiveness.

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41

Alagić, Amra, Lejla Turulja, and Nijaz Bajgorić. "Identification of Information System Audit Quality Factors." Journal of Forensic Accounting Profession 1, no. 2 (December 1, 2021): 1–28. http://dx.doi.org/10.2478/jfap-2021-0006.

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Анотація:

Abstract The primary purpose of this work is to provide an overview and comparative analysis of various Information System Audit Quality measures, as well as to test the validity of the chosen measurement scale empirically. In this regard, a thorough literature study was undertaken, followed by primary empirical research, and the reliability and validity of the measurement scale were tested. Based on the identified papers, a questionnaire was created and evaluated by a panel of experts. Following that, data was collected from respondents who were either managers inside the organizational unit responsible for information technology or those designated as adequate by the heads of IT departments.

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42

Hartikayanti, Heni Nurani, Frita Lussie Bramanti, and Ardi Gunardi. "Factors affecting the effectiveness of financial management information system." International Journal of Engineering & Technology 7, no. 2 (May 17, 2018): 755. http://dx.doi.org/10.14419/ijet.v7i2.12160.

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Анотація:

This study aims to analyze the factors that influence the effectiveness of management information system in the financial institution. Data were distributed to the managers in financial areas ranging from middle to top management level in Cimahi. The respondents in this study are 49 people. This study uses a quantitative and descriptive approach. The method used is an associative method. Data analysis uses regression analysis model. The unit of analysis in this study is the financial manager in the village and sub-district of Cimahi. Financial managers at the top level and middle level interact directly in the utilization of information technology. The data testing is done through validity test with Spearman Rank correlation coefficient and reliability tests with Cronbach Alpha coefficient. As for descriptive data analysis, multiple regression analysis was used. The results showed that the sophistication of the technology, manager’s knowledge, and participation affect the effectiveness of implementation of financial management information system. The problem that needs to be corrected is the technology that is still inadequate to produce accurate and relevant information.

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43

Desta Prasetyo Adi Zainudin, Alfareza, Khoirul Aswar, Noegrahini Lastiningsih, Mahendro Sumardjo, and Taufeni Taufik. "Analysis of potential factors influencing audit quality: The moderating effect of time budget pressure." Problems and Perspectives in Management 19, no. 4 (December 30, 2021): 519–29. http://dx.doi.org/10.21511/ppm.19(4).2021.42.

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In a pandemic situation the audit sector, either government or public, is affected in terms of audit implementation, especially in carrying out field audits. However, auditors can tackle this issue by applying new methods. Therefore, the purpose of this study is to examine the effect of auditor skepticism, auditor competence, understanding of information systems, and auditor motivation on audit quality. It also assesses whether time budget pressure has a moderating effect on the relationship between auditor competence, auditor motivation, and audit quality. 58 questionnaires were issued to government internal auditors in the Principal Inspectorate of Indonesia’s Supreme Audit Institution in the AKN V and VI units, and the data were acquired using a Google Form. SmartPLS software version 3.0 was used to analyze data applying Structural Equation Modelling (SEM). Purposive sampling was used in this investigation, which took a quantitative approach. The paper uses the theory of planned behavior and the inverted U theory. The results conclude that auditor skepticism, auditor competence, and understanding of information systems have a significant positive effect on audit quality. Auditor motivation has no significant positive effect on audit quality. Furthermore, time budget pressure does not moderate the effect of auditor competence and auditor motivation on audit quality. This study is expected to provide valuable input to improve the audit quality and assist auditors in the AKN V and VI units uphold professionalism and integrity in carrying out audit examinations even under the condition of a pandemic.

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Pakdil, Fatma, and Timothy N. Harwood. "Factors That Influence Efficiency in Performing ENT Cases: A Qualitative and Quantitative Analysis." Journal of Medical Systems 29, no. 3 (June 2005): 285–301. http://dx.doi.org/10.1007/s10916-005-5188-3.

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Ghode, Dnyaneshwar, Vinod Yadav, Rakesh Jain, and Gunjan Soni. "Adoption of blockchain in supply chain: an analysis of influencing factors." Journal of Enterprise Information Management 33, no. 3 (March 31, 2020): 437–56. http://dx.doi.org/10.1108/jeim-07-2019-0186.

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PurposeBlockchain technology (BT) is setting world-shattering standard in all type of transactions in business. BT has the prospective to drastically transform supply chain (SC). The main challenge is to enhance trust among the SC stakeholders. This paper aims to identify and prioritize the factors and its challenges that influence the adoptability of BT in SC. The prioritization of these factors will be helpful to the practitioners to decide the strategy of implementing the BT in SC.Design/methodology/approachThe factors influencing adoption of BT are identified from the review of literature and expert opinion is used to rank the factors influencing the adoptability of BT in SC using grey relational analysis (GRA).FindingsWe identified and prioritized key factors: inter-organizational trust and relational governance as organizational challenge, data transparency and data immutability as technological challenge, interoperability and product type as operational challenge and social influence and behavioral intention as social challenge that influences adoptability of BT in SC.Originality/valueThe priority of these factors will guide future researchers and industry practitioners to plan rational and financial strategy for implementing BT in SC.

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Lam, Wing. "Investigating success factors in enterprise application integration: a case-driven analysis." European Journal of Information Systems 14, no. 2 (June 2005): 175–87. http://dx.doi.org/10.1057/palgrave.ejis.3000530.

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Rajivan, Prashanth, and Nancy J. Cooke. "Information-Pooling Bias in Collaborative Security Incident Correlation Analysis." Human Factors: The Journal of the Human Factors and Ergonomics Society 60, no. 5 (April 3, 2018): 626–39. http://dx.doi.org/10.1177/0018720818769249.

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Objective: Incident correlation is a vital step in the cybersecurity threat detection process. This article presents research on the effect of group-level information-pooling bias on collaborative incident correlation analysis in a synthetic task environment. Background: Past research has shown that uneven information distribution biases people to share information that is known to most team members and prevents them from sharing any unique information available with them. The effect of such biases on security team collaborations are largely unknown. Method: Thirty 3-person teams performed two threat detection missions involving information sharing and correlating security incidents. Incidents were predistributed to each person in the team based on the hidden profile paradigm. Participant teams, randomly assigned to three experimental groups, used different collaboration aids during Mission 2. Results: Communication analysis revealed that participant teams were 3 times more likely to discuss security incidents commonly known to the majority. Unaided team collaboration was inefficient in finding associations between security incidents uniquely available to each member of the team. Visualizations that augment perceptual processing and recognition memory were found to mitigate the bias. Conclusion: The data suggest that (a) security analyst teams, when conducting collaborative correlation analysis, could be inefficient in pooling unique information from their peers; (b) employing off-the-shelf collaboration tools in cybersecurity defense environments is inadequate; and (c) collaborative security visualization tools developed considering the human cognitive limitations of security analysts is necessary. Application: Potential applications of this research include development of team training procedures and collaboration tool development for security analysts.

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Wei, June, and Gavriel Salvendy. "Development of a human information processing model for cognitive task analysis and design." Theoretical Issues in Ergonomics Science 7, no. 4 (July 2006): 345–70. http://dx.doi.org/10.1080/14639220500090158.

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Abbas, Ash Mohammad. "Analysis of Generalized Impact Factors and the Indices of Journals." Journal of Information Processing Systems 7, no. 2 (June 30, 2011): 341–54. http://dx.doi.org/10.3745/jips.2011.7.2.341.

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Diem Le, Chau Thi, Miklós Pakurár, István András Kun, and Judit Oláh. "The impact of factors on information sharing: An application of meta-analysis." PLOS ONE 16, no. 12 (December 22, 2021): e0260653. http://dx.doi.org/10.1371/journal.pone.0260653.

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Background Information sharing plays a key role in supply chain performance. According to previous individual studies, technology, trust, commitment, and uncertainty are four potential factors affecting information sharing. However, most studies focus on testing a positive relationship between each factor and information sharing. Therefore, it is necessary to evaluate the effect of each factor on information sharing. Objective To determine the accurate effect of factors on sharing information and propose key factors to support decision-makers in improving their information sharing. Data Correlation coefficients between factors are collected from 41 individual studies with a total of 8,983 samples on Google Scholar Methods Using the rank correlation test and Egger’s regression test to test publication bias. The meta-analysis method is used to perform analysis models, including fixed-effect, random-effect, and Hunter and Schmidt methods Results Commitment plays the most important role in information sharing when compared to technology, trust, and uncertainty. Commitment accounts for 19% in the Hunter and Schmidt method and 22% in both fixed-effect and random-effect models. In addition, the result indicates that there are around 50% of other factors that affect the efficiency of sharing information besides four factors in our studies. Conclusion Technology, trust, and commitment significantly affect information sharing, of which the impact of commitment on information sharing is strongest and should be a priority in improving the effectiveness of information sharing. Our study contributes two findings to literature in the field of supply chain information sharing: 1) certain confirming the important role of commitment on sharing information, and 2) the necessity of considering other factors besides these four elements.

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