Academic literature on the topic 'Company recognition'
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Journal articles on the topic "Company recognition"
Deng, Yuqi, and Yan Zhou. "Research about the Effect of Company Name on Investor Recognition and Company Value." MATEC Web of Conferences 227 (2018): 03002. http://dx.doi.org/10.1051/matecconf/201822703002.
Full textGreen, T. Clifton, and Russell Jame. "Company name fluency, investor recognition, and firm value." Journal of Financial Economics 109, no. 3 (September 2013): 813–34. http://dx.doi.org/10.1016/j.jfineco.2013.04.007.
Full textRossi, Silvia, and Martina Ruocco. "Better alone than in bad company." Interaction Studies 20, no. 3 (November 18, 2019): 487–508. http://dx.doi.org/10.1075/is.18066.ros.
Full textKrishnan, Sudha, and Steven M. Mintz. "Using Case Materials to Research Professional Standards on Revenue Recognition Issues." Issues in Accounting Education 22, no. 1 (February 1, 2007): 89–104. http://dx.doi.org/10.2308/iace.2007.22.1.89.
Full textKurniawan, Rahma, and Rina Anindita. "Impact of Perceived Supervisor Support and Rewards and Recognition Toward Performance Through Work Satisfaction and Employee Engagement in Employee Marketing Banks." Business and Entrepreneurial Review 21, no. 1 (May 27, 2021): 171. http://dx.doi.org/10.25105/ber.v21i1.9280.
Full textPintão, Silvana, Cristina Chaves, and Manuel Castelo Branco. "Employees’ recognition of corporate sustainability: a case study." Corporate Governance: The International Journal of Business in Society 18, no. 1 (February 5, 2018): 104–18. http://dx.doi.org/10.1108/cg-01-2017-0016.
Full textKim, Kyeong Hye. "The Recognition of International Exposition in Modern ChinaTonghui Steamship Company." CHUNGGUKSA YONGU (The Journal of Chinese Historical Researches) 117 (December 31, 2018): 179–206. http://dx.doi.org/10.24161/chr.117.179.
Full textDiligenti, M., M. Gori, M. Maggini, and E. Martinelli. "Adaptive graphical pattern recognition for the classification of company logos." Pattern Recognition 34, no. 10 (October 2001): 2049–61. http://dx.doi.org/10.1016/s0031-3203(00)00127-8.
Full textStallworth, H. Lynn, and Robert L. Braun. "Computone Corporation: An Instructional Case in Earnings Management and Revenue Recognition." Issues in Accounting Education 22, no. 2 (May 1, 2007): 319–32. http://dx.doi.org/10.2308/iace.2007.22.2.319.
Full textAndres, Jhonatan, and Robert Pius Pardede. "Analisis Penerapan Cost Recovery Method Dan Percentage Of Completion Method Berdasarkan PSAK 34 Terhadap Laba Kotor Perusahaan PT Mitra Menara Mandiri." Jurnal Ilmiah Akuntansi Kesatuan 6, no. 2 (December 13, 2018): 104–9. http://dx.doi.org/10.37641/jiakes.v6i2.137.
Full textDissertations / Theses on the topic "Company recognition"
Jecrois, Madrid Alexandra. "Going from a private to public company and the impact on revenue recognition." Thesis, Kansas State University, 2014. http://hdl.handle.net/2097/32788.
Full textDepartment of Agricultural Economics
Allen M. Featherstone
PS International (PSI) is an international trading company that specializes in the trading of bulk agricultural commodities. It has global strength to both export and import a variety of agricultural products using affiliated offices positioned throughout the world. To adapt to competitive pressures, advancements in technology, and economic conditions, privately-held companies are re-structuring their business by acquiring or partnering/merging with other companies. This results in a redefinition of the assets, operations, and relationships with the stockholders. The acquisition of a private company by a publicly held company creates unique issues because the newly acquired private company must meet SEC accounting standards. One example of this is the acquisition of PSI by Seaboard Corporation, a publicly traded company. In 2010, the owners of PSI sold fifty percent share of the company to Seaboard Corporation. Today Seaboard Corporation owns 80% of PSI. This research problem is based on the challenges that the acquisition of a private company by a public company faces. The focus of the analysis was on the accounting changes in the area of accounts receivable, in particular when revenue is recognized. PSI used cash basis accounting and Seaboard is required to use an accrual method that required a modification in PSI’s accounting system. This research investigates the impact of those changes on PSI’s accounts. The main factors used for comparison of revenue recognition under the cash and accrual method were departure date, transit time and payment terms. The comparisons were based on a data from 196 deliveries made in 2012. In the cash method, revenue was recognized for all the transactions during the month of shipment departure. This revenue was included whether or not the transactions were paid in full and whether or not the cargo arrived at its destination in the same month. In the accrual method, only 20.92% of the transactions were recognized in the current month of shipment, because revenue must be earned and realizable to be consistent with the SEC criteria, otherwise revenue must be deferred until the payment is collected. Therefore, as the result of applying either the cash or accrual method in the income statement, transaction will be recorded as accounts receivables and/or deferred transactions. With the application of the accrual method, the working capital calculation and the annualized margin must take more into consideration by managers, the trading staff and logistic staff.
Roberts, Roshan Levina. "The relationship between rewards, recognition and motivation at an insurance company in the Western Cape." Thesis, University of the Western Cape, 2005. http://etd.uwc.ac.za/index.php?module=etd&.
Full texts contribution to the organisation and the organisation&rsquo
s contribution to the employee. Establishing this balance is one of the main reasons to reward and recognise employees. Organisations that follow a strategic approach to creating this balance focus on the three main components of a reward system, which includes, compensation, benefits and recognition (Deeprose, 1994). Studies that have been conducted on the topic indicates that the most common problem in organisations today is that they miss the important component of recognition, which is the low-cost, high-return ingredient to a well-balanced reward system. A key focus of recognition is to make employees feel appreciated and valued (Sarvadi, 2005). Research has proven that employees who get recognised tend to have higher self-esteem, more confidence, more willingness to take on new challenges and more eagerness to be innovative (Mason, 2001). The aim of this study is to investigate whether rewards and recognition has an impact on employee motivation. A biographical and Work Motivation Questionnaire was administered to respondents (De Beer, 1987). The sample group (N= 184) consists of male and female employees on post-grade levels 5 to 12. The results of the research indicated that there is a positive relationship between rewards, recognition and motivation. The results also revealed that women, and employees from non-white racial backgrounds experienced lower levels of rewards, recognition and motivation. Future research on the latter issues could yield interesting insights into the different factors that motivate employees. Notwithstanding the insights derived from the current research, results need to be interpreted with caution since a convenience sample was used, thereby restricting the generalisability to the wider population.
Schouten, Theresa Lynn. "The impact recognition has on employees in the Human Resource Department at Bemis Company, Inc." Menomonie, WI : University of Wisconsin--Stout, 2006. http://www.uwstout.edu/lib/thesis/2006/2006schoutent.pdf.
Full textŠimkevičienė, Daina. "DIDMENINĖS PREKYBOS ĮMONĖS IR JOS ATSTOVAUJAMŲ PREKIŲ ŽENKLŲ ŽINOMUMO VAIDMUO FORMUOJANT VERTYBINĮ PASIŪLYMĄ DARBUOTOJAMS." Master's thesis, Lithuanian Academic Libraries Network (LABT), 2008. http://vddb.library.lt/obj/LT-eLABa-0001:E.02~2008~D_20080529_143602-99027.
Full textŠimkevičienė, D. (2008) The role of brand recognition and brands representing a distribution company in modelling employee value propositions. Final Master‘s Thesis. Vilnius: ISM University of Management and Economics. Objective of the Thesis: to identify the significance of brand recognition and brands representing a distribution company in selecting a distribution company as an employer. Parts of the Thesis. The first phase of the Thesis included the analysis of scientific literature and summary. During this phase, the analysis of an employer’s value as brand recognition for current and potential employees was executed. The importance of involvement of employees into the employer’s branding, and types of brand architecture were highlighted. The outcome of this phase of the Thesis is: identification of attributes an engaging employer branding; specification of the type of brand architecture complying with the distribution companies. During the second phase of the Thesis the empiric survey provided for specification of standing of a company’s brand recognition and representing brands in the employer’s package offer of a distribution company. Outcomes. The survey provided for the identification and evaluation of relative perceptible utility of brand recognition and brands representing a distribution company in selecting a distribution company as an employer; and evaluation, through the measured attributes, the levels of brand recognition and brands representing a company... [to full text]
Besong, Fred Tanyi. "BUSINESS PLAN : Import, Export and Car Trading Company." Thesis, Jönköping University, JIBS, EMM (Entrepreneurship, Marketing, Management), 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-896.
Full textBeing entrepreneurial is pathly being creative. This Master thesis presents a business plan of BEFCO Trading Ltd geared towards solving a problem in the Cameroonian Economy. The English speaking Cameroonians of South West and North West provinces of Cameroon are presently underserved with car sales offerings as there is presently no registered Company in this section of the Country.
An attempt is presently being made through this business plan thanks to the peaceful and favourable circumstances sorrounding the entrepreneurs and the opportunity gap of a niche market. The business plan shows a win to win situation in which the founding entrepreneurs become self employed by solving a problem in the market through novel business combinations.
Harch, Gais, and Robin Ullström. "Automatiserad matchning av relaterad data från olika datakällor." Thesis, KTH, Data- och elektroteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-146329.
Full textSocial media today contains a lot of information that can add a great value for applications and products by achieve an improved user experience. In some cases, such information cannot be obtained without matching data from one or several data sources through a data fusion. Eniro Initiatives AB wants to explore opportunities to implement an automated data fusion model by matching companies from its own API to the corresponding company on social media. The problem is that the only completely secured data of matching of all Swedish companies is its corporate identity, which is data that is not available with APIs that origin from foreign companies. The aim was to explore possibilities for the automated way to match related data from different data sources. In this thesis, a prototype was developed to match companies from Eniro’s API with company pages from Facebook's API. The results from the tests of this prototype shows small deficiencies where redundant information made the prototype able to approve unofficial pages with links to the relevant company, which was not desirable.
CHEN, MIN. "LOSS OF ANALYST COVERAGE IN THE U.S. AND AROUND THE WORLD." Kent State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=kent1438005872.
Full textDoleželová, Lenka. "Aplikace analýzy rizik na biometrické rozpoznávání osob a vybrané činnosti ve firmě." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2016. http://www.nusl.cz/ntk/nusl-241332.
Full textJen, Chun-Heng. "Exploring Construction of a Company Domain-Specific Knowledge Graph from Financial Texts Using Hybrid Information Extraction." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-291107.
Full textFöretag existerar inte som isolerade organisationer. De är inbäddade i strukturella relationer med varandra. Att kartlägga ett visst företags relationer med andra företag när det gäller konkurrenter, dotterbolag, leverantörer och kunder är nyckeln till att förstå företagets huvudsakliga riskfaktorer och möjligheter. Det konventionella sättet att hålla sig uppdaterad med denna viktiga kunskap var genom att läsa ekonomiska nyheter och rapporter från högkvalificerad manuell arbetskraft som till exempel en finansanalytiker. Men med utvecklingen av ”Natural Language Processing” (NLP) och grafdatabaser är det nu möjligt att systematiskt extrahera och lagra strukturerad information från ostrukturerade datakällor. Den nuvarande metoden för att effektivt extrahera information använder övervakade maskininlärningsmodeller som kräver en stor mängd märkta träningsdata. Datamärkningsprocessen är vanligtvis tidskrävande och svår att få i ett domänspecifikt område. Detta projekt utforskar ett tillvägagångssätt för att konstruera en företagsdomänspecifikt ”Knowledge Graph” (KG) som innehåller företagsrelaterade enheter och relationer från SEC 10-K-arkivering genom att kombinera en i förväg tränad allmän NLP med regelbaserade mönster i ”Named Entity Recognition” (NER) och ”Relation Extraction” (RE). Detta tillvägagångssätt eliminerar den tidskrävande datamärkningsuppgiften i det statistiska tillvägagångssättet och genom att utvärdera tio SEC 10-K arkiv har modellen den totala återkallelsen på 53,6 %, precision på 75,7 % och F1-poängen på 62,8 %. Resultatet visar att det är möjligt att extrahera företagsinformation med hybridmetoderna, vilket inte kräver en stor mängd märkta träningsdata. Projektet kräver dock en tidskrävande process för att hitta lexikala mönster från meningar för att extrahera företagsrelaterade enheter och relationer.
Hvitlock, Hedlund Ida, and Emma Långmo. "Intäktsredovisning : En jämförande studie mellan IAS 11 och IFRS 15." Thesis, Högskolan i Borås, Akademin för textil, teknik och ekonomi, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-10419.
Full textRevenue recognition is a subject that affects all companies for all rendered services.Because of the differences in how revenue recognition is prepared between countries, aconstruction of a joint international revenue recognition standard has become of interest. In2002 the IASB and the FASB started a cooperation that came to be called the convergenceproject. This convergence project led to the development of a joint international accountingstandard for revenue recognition, which is referred to as IFRS 15. The objective of the newjoint standard for revenue recognition is to eliminate inconsistencies in existing standards andto obtain a single comprehensive standard that is covering all industries and all types oftransactions. The new standard, IFRS 15, will replace all previously issued standards forrevenue recognition. IFRS 15’s effective date was set to January 1, 2017 but is currentlyprominent to January 1, 2018.The purpose of this study is to see how the new standard IFRS 15 differs in revenuerecognition compared to accounting under the current standard IAS 11. The study alsoconsist of research question regarding the consequences that may arise from the application ofIFRS 15 compared to the current standard IAS 11 relating to: income tax, dividends and keyfigures linked to the companies' stakeholders. The methodology for this study is a qualitativecontent analysis with a abductive approach.The findings show that the application of IFRS 15 is to a greater extent, a postponement ofrevenue recognition compared to accounting under the current standard IAS 11. Apostponement of revenue recognition may have an impact on corporate taxes, dividends andkey figures, and thereby affecting a company’s stakeholders. All stakeholders that arepresented in the study’s modified stakeholder model benefit from more consistent revenuerecognition that IFRS 15 doesn’t seem to provide.This paper is written in Swedish.
Books on the topic "Company recognition"
Graubart, Levin Michael, ed. Where's my fifteen minutes?: Get your company, your cause or yourself the recognition you deserve. New York: Portfolio, 2008.
Find full textSutyagin, Vladislav. Valuation of the rights requirements (debt receivable): theory and practice. ru: INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1013696.
Full textHarry, Alder, ed. Corporate charisma: How to achieve world-class recognition by maximising your company's image, brands, and culture. London: Piatkus, 1998.
Find full textBaylen, Joseph O. A journalist's quest for recognition: Frederick Greenwood and the purchase of the Suez Canal Company Shares, 1875-1909. 1986.
Find full textDyson, Tim. Company and Crown. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198829058.003.0006.
Full textstaff, Inside the Minds. The Billion Dollar Brand: Leading Marketers Reveal the Ways for Any Size Company to Achieve Worldwide Recognition, an Immediately Identifiable Image in the Marketplace and Newsworthy Events to Build Immeasurable Value in the Brand (Inside the Minds). Aspatore Books, 2003.
Find full textPorterfield, Amanda. Epilogue. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199372652.003.0009.
Full textDignam, Alan, and John Lowry. 13. Corporate management. Oxford University Press, 2018. http://dx.doi.org/10.1093/he/9780198811831.003.0013.
Full textDignam, Alan, and John Lowry. 13. Corporate management. Oxford University Press, 2016. http://dx.doi.org/10.1093/he/9780198753285.003.1250.
Full textCloud, Dana L. Enter the Dissidents. University of Illinois Press, 2017. http://dx.doi.org/10.5406/illinois/9780252036378.003.0004.
Full textBook chapters on the topic "Company recognition"
Arias, Juan F., Atul Chhabra, and Vishal Misra. "A practical application of graphics recognition: Helping with the extraction of information from telephone company drawings." In Graphics Recognition Algorithms and Systems, 314–21. Berlin, Heidelberg: Springer Berlin Heidelberg, 1998. http://dx.doi.org/10.1007/3-540-64381-8_59.
Full textMeng, Lei, Zhi-Hao Wei, Tian-Yi Hu, Qian Cheng, Yu Zhu, and Xiao-Tao Wei. "An Improved Method for Chinese Company Name and Abbreviation Recognition." In Communications in Computer and Information Science, 435–47. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62698-7_36.
Full textMoldovan, Darie, and Simona Mutu. "Learning the Relationship Between Corporate Governance and Company Performance Using Data Mining." In Machine Learning and Data Mining in Pattern Recognition, 368–81. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-21024-7_25.
Full textZeng, Jing, Jin Che, Chunxiao Xing, and Liang-Jie Zhang. "A Two-Stage Bi-LSTM Model for Chinese Company Name Recognition." In Artificial Intelligence and Mobile Services – AIMS 2018, 3–15. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94361-9_1.
Full textMartínez, Sandra, Miguel Mediavilla, Jenny Bäckstrand, and Carolina Bernardos. "Alignment of the Purchasing Strategy to the Business Strategy: An Empirical Study on a Harbour Cranes Company." In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 51–58. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-662-44733-8_7.
Full textWang, Hongjun, and Weihong Deng. "Face Recognition via Compact Fisher Vector." In Biometric Recognition, 68–77. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25417-3_9.
Full textShao, Weiyuan, Hong Wang, Yingbin Zheng, and Hao Ye. "Compact Face Representation via Forward Model Selection." In Biometric Recognition, 112–20. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46654-5_13.
Full textChen, Ying-Cong, Meng-Hui Lim, Pong-Chi Yuen, and Jian-Huang Lai. "Discriminant Spectral Hashing for Compact Palmprint Representation." In Biometric Recognition, 225–32. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02961-0_28.
Full textHuang, Dongcheng, Xiang Li, Hongwei Li, and Weishi Zheng. "Learning 3D Compact Binary Descriptor for Human Action Recognition in Video." In Biometric Recognition, 615–23. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25417-3_72.
Full textBoals, Alfred J., Ajay K. Gupta, Jahangir A. Hashmi, and Naveed A. Sherwani. "Compact hypercubes: Properties and recognition." In Advances in Computing and Information — ICCI '91, 395–402. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/3-540-54029-6_187.
Full textConference papers on the topic "Company recognition"
Arias, Balasubramanian, Prasad, Kasturi, and Chhabra. "Information extraction from telephone company drawings." In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition. IEEE Comput. Soc. Press, 1994. http://dx.doi.org/10.1109/cvpr.1994.323888.
Full textEggert, Christian, Anton Winschel, Dan Zecha, and Rainer Lienhart. "Saliency-guided selective magnification for company logo detection." In 2016 23rd International Conference on Pattern Recognition (ICPR). IEEE, 2016. http://dx.doi.org/10.1109/icpr.2016.7899708.
Full textGirsang, Abba Suganda, Sani Muhamad Isa, Herry Saputra, M. Apriadin Nuriawan, Reginald Putra Ghozali, and Emil Robert Kaburuan. "Business Intelligence for Construction Company Acknowledgement Reporting System." In 2018 Indonesian Association for Pattern Recognition International Conference (INAPR). IEEE, 2018. http://dx.doi.org/10.1109/inapr.2018.8627012.
Full textRaman, Natraj, Grace Bang, and Azadeh Nematzadeh. "MultiGraph Attention Network for analyzing Company Relations." In ICCPR '19: 2019 8th International Conference on Computing and Pattern Recognition. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3373509.3373542.
Full textDi Blasi, Martin, and Zhan Li. "Pipeline Rupture Detection Based on Machine Learning and Pattern Recognition." In 2016 11th International Pipeline Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/ipc2016-64471.
Full textFan, Luo, and Eduardo Cevallos N. "Profit-Sharing as a Catalyst for Recognition of Oil Company Employees in Ecuador." In 2008 International Conference on Computer Science and Software Engineering. IEEE, 2008. http://dx.doi.org/10.1109/csse.2008.128.
Full textZhou, Kang-qu, Rui-juan Zhang, Ying-dong Wang, and Bing-jie Wang. "Study on workshop layout of a motorcycle company based on systematic layout planning (SLP)." In International Conference on Image Processing and Pattern Recognition in Industrial Engineering, edited by Zhengyu Du and Bin Liu. SPIE, 2010. http://dx.doi.org/10.1117/12.867211.
Full textGanas, Nikil, and Kayode Timothy Akindeji. "Analysis and Redesign of Protection System for a Sugar Company." In 2019 Southern African Universities Power Engineering Conference/Robotics and Mechatronics/Pattern Recognition Association of South Africa (SAUPEC/RobMech/PRASA). IEEE, 2019. http://dx.doi.org/10.1109/robomech.2019.8704825.
Full textPiratelo, Paulo Henrique Martinez, Rodrigo Negri de Azeredo, Eduardo Massashi Yamao, Gabriel Maidl, Laercio Pereira de Jesus, Renato de Arruda Penteado Neto, Leandro Dos Santos Coelho, and Gideon Villar Leandro. "Convolutional neural network applied for object recognition in a warehouse of an electric company." In 2021 14th IEEE International Conference on Industry Applications (INDUSCON). IEEE, 2021. http://dx.doi.org/10.1109/induscon51756.2021.9529716.
Full textMa, Fengcai, and Qingqing Liu. "Fuzzy pattern recognition for atmospheric quality in original location of Capital Iron and Steel Company." In 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2011). IEEE, 2011. http://dx.doi.org/10.1109/fskd.2011.6019546.
Full textReports on the topic "Company recognition"
Hoffman, Jeffrey. Using Blind Source Separation and a Compact Microphone Array to Improve the Error Rate of Speech Recognition. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.5258.
Full text