Forecast Accuracy in Corporate Budgeting: A Systematic Review and Bias-Correction Taxonomy

References

[1] S. A. Zahera and R. Bansal, “Do investors exhibit behavioral biases in investment decision making? A systematic review,” Qualitative Research in Financial Markets, vol. 10, no. 2, pp. 210–251, 2018, 10.1108/QRFM-04-2017-0028.

[2] D. Moher et al., “Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement,” PLoS Med, vol. 6, no. 7, Jul. 2009, 10.1371/JOURNAL.PMED.1000097.

[3] I. U. Chhapra, M. Kashif, R. Rehan, and A. Bai, “An Empirical Investigation of Investor’s Behavioral Biases on Financial Decision Making,” Asian Journal of Empirical Research, vol. 8, no. 3, pp. 99–109, Apr. 2018, 10.18488/JOURNAL.1007/2018.7.3/1007.3.9 9.109.

[4] N. Barberis and R. Thaler, “Chapter 18 A survey of behavioral finance,” Handbook of the Economics of Finance, vol. 1, no. SUPPL. PART B, pp. 1053 –1128, 2003, 10.1016/S1574-0102(03)01027-6.

[5] M. Chaffai and I. Medhioub, “Herding behavior in Islamic GCC stock market: a daily analysis,” International Journal of Islamic and Middle Eastern Finance and Management, vol. 11, no. 2, pp. 182–193, Jun. 2018, 10.1108/IMEFM-08-2017-0220.

[6] S. Z. A. Shah, M. Ahmad, and F. Mahmood, “Heuristic biases in investment decision- making and perceived market efficiency: A survey at the Pakistan stock exchange,” Qualitative Research in Financial Markets, vol. 10, no. 1, pp. 85–110, 2018, 10.1108/QRFM-04-2017-0033.

[7] D. Tranfield, D. Denyer, and P. Smart, “Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review,” British Journal of Management, vol. 14, no. 3, pp. 207–222, 2003, 8551.00375.

[8] P. C. Tetlock, “Information transmission in finance,” Annual Review of Financial Economics, vol. 6, pp. 365–384, Dec. 2014, 110613-034449.

[9] P. Bond, A. Edmans, and I. Goldstein, “The real effects of financial markets,” Annual Review of Financial Economics, vol. 4, pp. 339–360, Oct. 2012, FINANCIAL-110311-101826.

[10] D. Hirshleifer, “Behavioral Finance,” Annual Review of Financial Economics, vol. 7, no. Volume 7, 2015, pp. 133–159, Dec. 2015, 10.1146/ANNUREV-FINANCIAL-092214- 043752/CITE/REFWORKS.

[11] D. Gromb and D. Vayanos, “Limits of arbitrage,” Annual Review of Financial Economics, vol. 2, pp. 251–275, 2010, 10.1146/ANNUREV-FINANCIAL-073009- 104107.

[12] S. Mullainathan, J. Schwartzstein, and W. J. Congdon, “A reduced-form approach to behavioral public finance,” Annu Rev Econom, vol. 4, pp. 511–540, Jul. 2012, 10.1146/ANNUREV-ECONOMICS-111809- 125033.

[13] “Behavioral Finance | Annual Reviews.” Accessed: Sep. 10, 2017. [Online]. Available: https://www.annualreviews.org/content/journa ls/10.1146/annurev-financial-092214-043752

[14] I. H. Cheng and W. Xiong, “Financialization of commodity markets,” Annual Review of Financial Economics, vol. 6, pp. 419–941, Dec. 2014, FINANCIAL-110613-034432.

[15] D. Bisias, M. Flood, A. W. Lo, and S. Valavanis, “A survey of systemic risk analytics,” Annual Review of Financial Economics, vol. 4, pp. 255–296, Oct. 2012, 10.1146/ANNUREV-FINANCIAL-110311- 101754.

[16] J. R. Graham and M. T. Leary, “A review of empirical capital structure research and directions for the future,” Annual Review of Financial Economics, vol. 3, pp. 309–345, 2011, 102710-144821.

[17] W. R. Kerr and R. Nanda, “Financing Innovation,” Annual Review of Financial Economics, vol. 7, pp. 445–462, Dec. 2015, 111914-041825.

[18] C. Frydman and D. Jenter, “CEO compensation,” Annual Review of Financial Economics, vol. 2, pp. 75–102, 2010, 10.1146/ANNUREV-FINANCIAL-120179- 133958.

[19] A. Edmans, “Blockholders and corporate governance,” Annual Review of Financial Economics, vol. 6, pp. 23–50, Dec. 2014, 10.1146/ANNUREV-FINANCIAL-110613- 034455.

[20] M. Sipa, I. Gorzeń-Mitka, and A. Skibiński, “Determinants of Competitiveness of Small Enterprises: Polish Perspective,” Procedia Economics and Finance, vol. 27, pp. 445–453, 2015,

[21] R. Verma and P. Verma, “Behavioral biases and retirement assets allocation of corporate pension plans,” Review of Behavioral Finance, vol. 10, no. 4, pp. 353–369, Oct. 2018, 10.1108/RBF-01-2017-0009.

[22] I. Hasan, K. Jackowicz, O. Kowalewski, and Ł. Kozłowski, “Do local banking market structures matter for SME financing and performance? New evidence from an emerging economy,” J Bank Financ, vol. 79, pp. 142– 158, Jun. 2017, 10.1016/J.JBANKFIN.2017.03.009.

[23] V. N. C. Mushinada and V. S. S. Veluri, “Investors overconfidence behaviour at Bombay Stock Exchange,” International Journal of Managerial Finance, vol. 14, no. 5, pp. 613–632, Sep. 2018, 05-2017-0093.

[24] M. Mayxay et al., “Predictive diagnostic value of the tourniquet test for the diagnosis of dengue infection in adults,” Trop Med Int Health, vol. 16, no. 1, pp. 127–133, Jan. 2011,

[25] A. Gunasekaran et al., “Big data and predictive analytics for supply chain and organizational performance,” J Bus Res, vol. 70, pp. 308–317, Jan. 2017,

[26] A. Bennet and D. Bennet, “The Decision- Making Process for Complex Situations in a Complex Environment,” Handbook on Decision Support Systems, pp. 1–14, 2008.

[27] J. F. Nunamaker and A. V Deokar, “Benefits of Decision Support Systems. Chapter 32. Handbook on Decision Support Systems 1,” Handbook on Decision Support Systems 1, no. DECEMBER 2007, pp. 391 –414, 2008, Accessed: Aug. 15, 2017. [Online]. Available: http://www.springerlink.com/index/10.1007/9 78-3-540-48713-5

[28] “Decision Support Systems: A Historical Overview | SpringerLink.” Accessed: Sep. 9, 2017. [Online]. Available: https://link.springer.com/chapter/10.1007/978- 3-540-48713-5_7

[29] D. Arnott and G. Pervan, “A critical analysis of decision support systems research,” Journal of Information Technology, vol. 20, no. 2, pp. 67– 87, Jun. 2005, 10.1057/PALGRAVE.JIT.2000035.

[30] D. J. Power, “Decision Support Systems: A Historical Overview,” Handbook on Decision Support Systems 1, pp. 121–140, 2008, 10.1007/978-3-540-48713-5_7.

[31] F. Burstein and C. W. Holsapple, “Handbook on Decision Support Systems 1,” Handbook on Decision Support Systems 1, 2008, 10.1007/978-3-540-48713-5.

[32] J. Kim, J. Kim, G. J. Jang, and M. Lee, “Fast learning method for convolutional neural networks using extreme learning machine and its application to lane detection,” Neural Networks, vol. 87, pp. 109–121, Mar. 2017,

[33] G. Karniadakis, “A brief overview of physics- informed machine learning,” J Comput Phys, vol. 375, pp. 1339–1356, 2018.

[34] M. A. Gianfrancesco, S. Tamang, J. Yazdany, and G. Schmajuk, “Potential Biases in Machine Learning Algorithms Using Electronic Health Record Data,” JAMA Intern Med, vol. 178, no. 11, pp. 1544–1547, Nov. 2018, 10.1001/JAMAINTERNMED.2018.3763.

[35] S. S. Sarikan and A. M. Ozbayoglu, “Anomaly detection in vehicle traffic with image processing and machine learning,” Procedia Comput Sci, vol. 140, pp. 64–69, 2018, 10.1016/J.PROCS.2018.10.293.

[36] D. Knoll, M. Prüglmeier, and G. Reinhart, “Predicting Future Inbound Logistics Processes Using Machine Learning,” Procedia CIRP, vol. 52, pp. 145–150, 2016, 10.1016/J.PROCIR.2016.07.078.

[37] A. Rajkomar, M. Hardt, M. D. Howell, G. Corrado, and M. H. Chin, “Ensuring fairness in machine learning to advance health equity,” Ann Intern Med, vol. 169, no. 12, pp. 866–872, Dec. 2018,

[38] J. Hemerly, “Public policy considerations for data-driven innovation,” Computer (Long Beach Calif), vol. 46, no. 6, pp. 25–31, 2013,

[39] J. N. K. SL Brunton, “Data-driven versus physics-based modeling,” Annu Rev Fluid Mech, vol. 50, pp. 645–668, 2018.

[40] S. Fosso Wamba, S. Akter, A. Edwards, G. Chopin, and D. Gnanzou, “How ‘big data’ can make big impact: Findings from a systematic review and a longitudinal case study,” Int J Prod Econ, vol. 165, pp. 234–246, Jul. 2015,

[41] P. Kadlec, B. Gabrys, and S. Strandt, “Data- driven Soft Sensors in the process industry,” Comput Chem Eng, vol. 33, no. 4, pp. 795–814, Apr. 2009, 10.1016/j.compchemeng.2008.12.012.

[42] M. A. Waller and S. E. Fawcett, “Data science, predictive analytics, and big data: A revolution that will transform supply chain design and management,” Journal of Business Logistics, vol. 34, no. 2, pp. 77–84, 2013, 10.1111/JBL.12010.

[43] P. Kumar Jain, K. Mandli, I. Hoteit, O. Knio, and C. Dawson, “Dynamically adaptive data- driven simulation of extreme hydrological flows,” Ocean Model (Oxf), vol. 122, pp. 85– 103, Feb. 2018, 10.1016/J.OCEMOD.2017.12.004.

[44] C. Meng, S. S. Nageshwaraniyer, A. Maghsoudi, Y. J. Son, and S. Dessureault, “Data-driven modeling and simulation framework for material handling systems in coal mines,” Comput Ind Eng, vol. 64, no. 3, pp. 766 –779, 2013, 10.1016/J.CIE.2012.12.017.

[45] A. Kaushik and A. Raman, “The new data- driven enterprise architecture for e-healthcare: Lessons from the indian public sector,” Gov Inf Q, vol. 32, no. 1, pp. 63–74, 2015, 10.1016/J.GIQ.2014.11.002.

[46] S. Roohani, Y. Furusho, and M. Koizumi, “XBRL: Improving transparency and monitoring functions of corporate governance,” International Journal of Disclosure and Governance, vol. 6, no. 4, pp. 355–369, Dec. 2009, 10.1057/JDG.2009.17.

[47] S. Rosenbaum, “Data governance and stewardship: Designing data stewardship entities and advancing data access,” Health Serv Res, vol. 45, no. 5 PART 2, pp. 1442– 1455, Oct. 2010, 6773.2010.01140.X.

[48] I. Holeman, T. P. Cookson, and C. Pagliari, “Digital technology for health sector governance in low and middle income countries: A scoping review,” J Glob Health, vol. 6, no. 2, 2016, 10.7189/JOGH.06.020408.

[49] G. I. Agbaje, I. E. Bello, and A. G. Ojo, “Empirical assessment of the role of geospatial technology in delivering governance and strengthening democracy in Nigeria,” GeoJournal, vol. 83, no. 4, pp. 743–756, Aug. 2018,

[50] L. Rusu and R. P. Tenga, “IT governance in the healthcare sector: A case study of a public and private hospital in Tanzania,” Int J Inf Syst Change Manag, vol. 4, no. 4, pp. 314–337, 2010,

[51] C. Allen et al., “Data Governance and Data Sharing Agreements for Community-Wide Health Information Exchange: Lessons from the Beacon Communities,” EGEMS, vol. 2, no. 1, p. 1057, Apr. 2014, 9214.1057.

[52] S. Katuu, “Healthcare systems: typologies, framework models, and South Africa’s health sector,” International Journal of Health Governance, vol. 23, no. 2, pp. 134–148, May 2018,

[53] K. R. Hope, “Capacity development for good governance in developing countries: some lessons from the field,” Int J Public Adm, vol. 32, no. 8, pp. 728–740, 2009, 10.1080/01900690902908562.

[54] C. Savory, “Patient and public involvement in translative healthcare research,” Clin Gov, vol. 15, no. 3, pp. 191–199, 2010, 10.1108/14777271011063823.

[55] V. Khatri and C. V. Brown, “Designing data governance,” Commun ACM, vol. 53, no. 1, pp. 148–152, Jan. 2010, 10.1145/1629175.1629210.

[56] M. Steadieseifi, N. P. Dellaert, W. Nuijten, T. Van Woensel, and R. Raoufi, “Multimodal freight transportation planning: A literature review,” Eur J Oper Res, vol. 233, no. 1, pp. 1– 15, Feb. 2014,

[57] B. Mukherjee and S. Ferdousi, “The network user and its growing influence,” Comput Commun, vol. 131, pp. 43–45, Oct. 2018, 10.1016/j.comcom.2018.07.005.

[58] X. Zhou, Y. Shi, X. Deng, and Y. Deng, “D- DEMATEL: A new method to identify critical success factors in emergency management,” Saf Sci, vol. 91, pp. 93–104, Jan. 2017, 10.1016/j.ssci.2016.06.014.

[59] A. M. Elzawawy, “Could African and Low- and Middle-Income Countries Contribute Scientifically to Global Cancer Care?,” J Glob Oncol, vol. 1, no. 2, pp. 49–53, Dec. 2015, 10.1200/JGO.2015.001032.

[60] J. D. Patel, M. D. Galsky, A. B. Chagpar, D. Pyle, and P. J. Loehrer, “Role of American Society of Clinical Oncology in low- and middle-income countries,” Journal of Clinical Oncology, vol. 29, no. 22, pp. 3097–3102, Aug. 2011,

[61] J. A. De Souza et al., “The development of a financial toxicity patient-reported outcome in cancer: The COST measure,” Cancer, vol. 120, no. 20, pp. 3245–3253, Oct. 2014, 10.1002/CNCR.28814.

[62] C. H. Kuei, C. N. Madu, and C. Lin, “Implementing supply chain quality management,” Total Quality Management and Business Excellence, vol. 19, no. 11, pp. 1127– 1141, Nov. 2008, 10.1080/14783360802323511.

[63] K. Mathu and S. Phetla, “Supply chain collaboration and integration enhance the response of fast-moving consumer goods manufacturers and retailers to customer’s requirements,” South African Journal of Business Management, vol. 49, no. 1, 2018,

[64] P. Konijn and R. van Tulder, “Resources-for- infrastructure (R4I) swaps a new model for successful internationalisation strategies of rising power firms?,” Critical Perspectives on International Business, vol. 11, no. 3–4, pp. 259–284, Jul. 2015, 2013-0008.

[65] S. Mendes, Z. Serrasqueiro, and P. M. Nunes, “Investment determinants of young and old Portuguese SMEs: A quantile approach,” BRQ Business Research Quarterly, vol. 17, no. 4, pp. 279–291, 2014, 10.1016/J.BRQ.2013.03.001.

[66] S. A. Yawar and S. Seuring, “Management of Social Issues in Supply Chains: A Literature Review Exploring Social Issues, Actions and Performance Outcomes,” Journal of Business Ethics, vol. 141, no. 3, pp. 621–643, Mar. 2017,

[67] P. G. Pilar, A. P. Marta, and A. Antonio, “Profit efficiency and its determinants in small and medium-sized enterprises in Spain,” BRQ Business Research Quarterly, vol. 21, no. 4, pp. 238–250, Oct. 2018, 10.1016/J.BRQ.2018.08.003.

[68] Z. Mei and Y. Zirong, “Design of epidemic monitoring platform based on ArcGIS,” Proceedings - 14th International Symposium on Distributed Computing and Applications for Business, Engineering and Science, DCABES 2015, pp. 380–383, Mar. 2016, 10.1109/DCABES.2015.102.

[69] Ratnawati, B. E. Soetjipto, F. D. Murwani, and H. Wahyono, “The Role of SMEs’ Innovation and Learning Orientation in Mediating the Effect of CSR Programme on SMEs’ Performance and Competitive Advantage,” Global Business Review, vol. 19, no. 3_suppl, pp. S21–S38, Jun. 2018, 10.1177/0972150918757842.

[70] I. Lee and K. Lee, “The Internet of Things (IoT): Applications, investments, and challenges for enterprises,” Bus Horiz, vol. 58, no. 4, pp. 431–440, Jul. 2015, 10.1016/J.BUSHOR.2015.03.008.

[71] M. A. T Lawanson, “Land governance and megacity projects in Lagos, Nigeria: The case of Lekki Free Trade Zone,” Area Development and Policy, vol. 3, no. 1, pp. 114–131, 2018.

[72] J. E. Austin, “From Organization to Organization: On Creating Value,” Journal of Business Ethics, vol. 94, no. SUPPL. 1, pp. 13– 15, Jul. 2010, Z.

[73] C. Legner et al., “Digitalization: Opportunity and challenge for the business and information systems engineering community,” Business & Information Systems Engineering, vol. 59, no. 4, pp. 301–308, Aug. 2017, 10.1007/s12599-017-0484-2.

[74] C. Matt, T. Hess, and A. Benlian, “Digital Transformation Strategies,” Business and Information Systems Engineering, vol. 57, no. 5, pp. 339–343, Oct. 2015, 10.1007/S12599-015-0401-5.

[75] X. Bai, S. Zhang, H. Cai, H. Yang, and A. Li, “A novel method of attitude measurement for floated inertial platform using optical sensors,” Measurement (Lond), vol. 129, pp. 142–155, Dec. 2018, 10.1016/j.measurement.2018.07.011.

[76] M. I. Piecyk and A. C. McKinnon, “Forecasting the carbon footprint of road freight transport,” Int J Prod Econ, vol. 128, no. 1, pp. 31–42, Nov. 2010, 10.1016/j.ijpe.2009.08.027.

[77] I. Heckmann, T. Comes, and S. Nickel, “A critical review on supply chain risk - Definition, measure and modeling,” Omega (United Kingdom), vol. 52, pp. 119–132, Apr. 2015,

[78] S. M. Mirhedayatian and S. Yan, “A framework to evaluate policy options for supporting electric vehicles in urban freight transport,” Transp Res D Transp Environ, vol. 58, pp. 22–38, Jan. 2018, 10.1016/j.trd.2017.11.007.

[79] S. K. Mangla, P. Kumar, and M. K. Barua, “Risk analysis in green supply chain using fuzzy AHP approach: A case study,” Resour Conserv Recycl, vol. 104, pp. 375–390, Nov. 2015,

[80] W. K. K. Hsu, S. H. S. Huang, and W. J. Tseng, “Evaluating the risk of operational safety for dangerous goods in airfreights – A revised risk matrix based on fuzzy AHP,” Transp Res D Transp Environ, vol. 48, pp. 235–247, Oct. 2016,

[81] “The Changing Dynamics of International Business in Africa,” The Changing Dynamics of International Business in Africa, 2015, 10.1057/9781137516541.

[82] J. O. Strandhagen, L. R. Vallandingham, G. Fragapane, J. W. Strandhagen, A. B. H. Stangeland, and N. Sharma, “Logistics 4.0 and emerging sustainable business models,” Adv Manuf, vol. 5, no. 4, pp. 359–369, Dec. 2017,

[83] K. Adams, B. S. Nayak, and S. Koukpaki, “Critical perspectives on ‘manufactured’ risks arising from Eurocentric business practices in Africa,” Critical Perspectives on International Business, vol. 14, no. 2–3, pp. 210–229, May 2018,

[84] T. McNamee, M. Pearson, and W. Boer, “Africans Investing in Africa: Understanding Business and Trade, Sector by Sector,” Africans Investing in Africa: Understanding Business and Trade, Sector by Sector, pp. 1– 338, May 2015,

[85] Y. S. Lin and K. J. Wang, “A two-stage stochastic optimization model for warehouse configuration and inventory policy of deteriorating items,” Computers Ind Eng, vol. 120, pp. 83–93, Jun. 2018, 10.1016/j.cie.2018.04.008.

[86] L. Gilson, K. Hanson, K. Sheikh, I. A. Agyepong, F. Ssengooba, and S. Bennett, “Building the field of health policy and systems research: social science matters,” PLoS Med, vol. 8, no. 8, p. e1001079, Aug. 2011, 10.1371/journal.pmed.1001079.

[87] P. Jones and A. Cavoukian, “Privacy by Design in Law, Policy and Practice,” 2011, Accessed: Jun. 17, 2017. [Online]. Available: www.privacybydesign.ca

[88] K. Blind, “The influence of regulations on innovation: A quantitative assessment for OECD countries,” Res Policy, vol. 41, no. 2, pp. 391–400, Mar. 2012, 10.1016/j.respol.2011.08.008.

[89] J. Boote, R. Barber, and C. Cooper, “Principles and indicators of successful consumer involvement in NHS research: Results of a Delphi study and subgroup analysis,” Health Policy (New York), vol. 75, no. 3, pp. 280–297, Feb. 2006, 10.1016/J.HEALTHPOL.2005.03.012.

[90] T. Heinze, P. Shapira, J. D. Rogers, and J. M. Senker, “Organizational and institutional influences on creativity in scientific research,” Res Policy, vol. 38, no. 4, pp. 610–623, May 2009,

[91] A. Akhlaq, B. McKinstry, K. Bin Muhammad, and A. Sheikh, “Barriers and facilitators to health information exchange in low- and middle-income country settings: A systematic review,” Health Policy Plan, vol. 31, no. 9, pp. 1310–1325, Nov. 2016, 10.1093/heapol/czw056.

[92] J. Bourke and S. Roper, “Innovation, quality management and learning: Short-term and longer-term effects,” Res Policy, vol. 46, no. 8, pp. 1505–1518, Oct. 2017, 10.1016/j.respol.2017.07.005.

[93] M. L. Ambrose, “Speaking of forgetting: Analysis of possible non-EU responses to the right to be forgotten and speech exception,” Telecomm Policy, vol. 38, no. 8–9, pp. 800– 811, 2014, 10.1016/J.TELPOL.2014.05.002.

[94] E. M. Meslin, A. Blasimme, and A. Cambon‐ Thomsen, “Mapping the translational science policy ‘valley of death,’” Clin Transl Med, vol. 2, no. 1, Dec. 2013, 14.

[95] M. Bar-Sinai, L. Sweeney, and M. Crosas, “DataTags, Data Handling Policy Spaces and the Tags Language,” Proceedings - 2016 IEEE Symposium on Security and Privacy Workshops, SPW 2016, pp. 1–8, Aug. 2016,

[96] H. Sohn, “Racial and Ethnic Disparities in Health Insurance Coverage: Dynamics of Gaining and Losing Coverage Over the Life- Course,” Popul Res Policy Rev, vol. 36, no. 2, pp. 181–201, Apr. 2017, 016-9416-Y.

[97] M. Dodgson, “Innovation in firms,” Oxf Rev Econ Policy, vol. 33, no. 1, pp. 85–100, Jan. 2017,

[98] S. Wu, H. Legido-Quigley, J. Spencer, R. J. Coker, and M. S. Khan, “Designing evaluation studies to optimally inform policy: What factors do policy-makers in China consider when making resource allocation decisions on healthcare worker training programmes?,” Health Res Policy Syst, vol. 16, no. 1, Feb. 2018,

[99] C. Barkman and L. Weinehall, “Policymakers and mHealth: Roles and expectations, with observations from Ethiopia, Ghana and Sweden,” Glob Health Action, vol. 10, 2017,

[100] N. Olson, B. Finlay, and E. Mufti, “A Go-to- Market Strategy: Promoting Private Sector Solutions to the Threat of Proliferation,” Apr. 2013,

[101] C. Passaris, “The Business of Globalization and the Globalization of Business,” Journal of Comparative International Management, vol. 9, no. 1, pp. 3–18, 2006, Accessed: Sep. 15, 2017. [Online]. Available: https://id.erudit.org/iderudit/jcim9_1art01

@article{1711012,
      author = {Omoize Fatimetu Dako, Chizoba Michael Okafor, Blessing Olajumoke Farounbi, Ogochukwu Prisca Onyelucheya},
      title = {Forecast Accuracy in Corporate Budgeting: A Systematic Review and Bias-Correction Taxonomy},
      journal = {Iconic Research And Engineering Journals},
      year = {2018},
      volume = {2},
      number = {4},
      pages = {127-145},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1711012.pdf},
      abstract = {Forecast accuracy plays a pivotal role in corporate budgeting, shaping financial planning, resource allocation, performance evaluation, and strategic decision-making. Despite advances in data analytics, budgeting processes are persistently vulnerable to errors and cognitive, organizational, and methodological biases. This paper provides a systematic review of the literature on forecast accuracy in corporate budgeting and develops a taxonomy of bias-correction mechanisms. The review synthesizes findings from financial economics, behavioral accounting, and management sciences, highlighting sources of forecast errors, the magnitude of their organizational consequences, and the evolution of corrective practices. The taxonomy proposed categorizes bias-correction strategies into behavioral, statistical, technological, and governance-driven approaches, offering a comprehensive framework for both practitioners and scholars. By consolidating fragmented insights, this study enhances understanding of budgeting as not only a technical forecasting exercise but also a socio-behavioral process embedded in corporate governance and organizational psychology. The review underscores the need for integrated solutions that combine advanced analytics with behavioral and governance reforms to improve budgetary reliability and organizational resilience.},
      keywords = {Forecast Accuracy, Corporate Budgeting, Bias Correction, Systematic Review, Financial Decision-Making, Behavioral Finance},
      month = {October},
  }