Relevant bibliographies by topics / Business forecasting / Journal articles

Journal articles on the topic 'Business forecasting'

To see the other types of publications on this topic, follow the link: Business forecasting.
Author: Grafiati
Published: 4 June 2021
Last updated: 30 July 2024

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the top 50 journal articles for your research on the topic 'Business forecasting.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Browse journal articles on a wide variety of disciplines and organise your bibliography correctly.

1

Dave, Upendra, J. Holton Wilson, and Barry Keating. "Business Forecasting." Journal of the Operational Research Society 42, no. 3 (March 1991): 254. http://dx.doi.org/10.2307/2583315.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Dave, Upendra. "Business Forecasting." Journal of the Operational Research Society 42, no. 3 (March 1991): 254. http://dx.doi.org/10.1057/jors.1991.48.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Cox, James E. "Business forecasting." International Journal of Forecasting 2, no. 3 (January 1986): 391–93. http://dx.doi.org/10.1016/0169-2070(86)90061-0.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Rozeff, Michael S. "Business forecasting." International Journal of Forecasting 6, no. 4 (December 1990): 569–70. http://dx.doi.org/10.1016/0169-2070(90)90042-a.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Iyer, R., John E. Hanke, and Arthur G. Reitsch. "Business Forecasting." Statistician 38, no. 1 (1989): 77. http://dx.doi.org/10.2307/2349022.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Beaumont, Chris, J. A. Saunders, J. A. Sharp, and S. F. Witt. "Practical Business Forecasting." Journal of the Operational Research Society 38, no. 5 (May 1987): 465. http://dx.doi.org/10.2307/2582738.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Beaumont, Chris. "Practical Business Forecasting." Journal of the Operational Research Society 38, no. 5 (May 1987): 465–66. http://dx.doi.org/10.1057/jors.1987.77.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Anderson, Scott. "Practical Business Forecasting." International Journal of Forecasting 19, no. 2 (April 2003): 330–32. http://dx.doi.org/10.1016/s0169-2070(03)00017-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Thomson, Lydia. "Practical business forecasting." British Accounting Review 21, no. 1 (March 1989): 105. http://dx.doi.org/10.1016/0890-8389(89)90085-1.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Chatfield, Chris. "Business forecasting methods." International Journal of Forecasting 5, no. 2 (January 1989): 285–86. http://dx.doi.org/10.1016/0169-2070(89)90100-3.

Full text
APA, Harvard, Vancouver, ISO, and other styles
11

Remus, William. "Introductory business forecasting." International Journal of Forecasting 6, no. 4 (December 1990): 564–65. http://dx.doi.org/10.1016/0169-2070(90)90038-d.

Full text
APA, Harvard, Vancouver, ISO, and other styles
12

Heitmann, George. "Introductory business forecasting." International Journal of Forecasting 7, no. 2 (August 1991): 243–45. http://dx.doi.org/10.1016/0169-2070(91)90061-y.

Full text
APA, Harvard, Vancouver, ISO, and other styles
13

Yokum, Thomas. "Successful business forecasting." International Journal of Forecasting 8, no. 1 (June 1992): 113–14. http://dx.doi.org/10.1016/0169-2070(92)90017-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
14

Price, Barbara A. "Business forecasting methods." International Journal of Forecasting 7, no. 4 (March 1992): 535–36. http://dx.doi.org/10.1016/0169-2070(92)90039-c.

Full text
APA, Harvard, Vancouver, ISO, and other styles
15

Makridakis, Spyros. "Strategic business forecasting." International Journal of Forecasting 12, no. 3 (September 1996): 435–37. http://dx.doi.org/10.1016/0169-2070(96)90049-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
16

Harvey, A. C. "Practical business forecasting." European Journal of Operational Research 33, no. 3 (February 1988): 352–53. http://dx.doi.org/10.1016/0377-2217(88)90182-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
17

Westlund, Anders H. "Business cycle forecasting." Journal of Forecasting 12, no. 3-4 (April 1993): 187–96. http://dx.doi.org/10.1002/for.3980120302.

Full text
APA, Harvard, Vancouver, ISO, and other styles
18

Orchard, T. J., and P. Shearer. "Business Forecasting and Planning." Journal of the Royal Statistical Society. Series A (Statistics in Society) 159, no. 3 (1996): 632. http://dx.doi.org/10.2307/2983352.

Full text
APA, Harvard, Vancouver, ISO, and other styles
19

Fildes, Robert, and Peter Shearer. "Business Forecasting and Planning." Journal of the Operational Research Society 46, no. 10 (October 1995): 1281. http://dx.doi.org/10.2307/2584623.

Full text
APA, Harvard, Vancouver, ISO, and other styles
20

Fildes, Robert. "Business Forecasting and Planning." Journal of the Operational Research Society 46, no. 10 (October 1995): 1281–82. http://dx.doi.org/10.1057/jors.1995.175.

Full text
APA, Harvard, Vancouver, ISO, and other styles
21

Cullity, John P. "The business forecasting revolution." International Journal of Forecasting 4, no. 2 (January 1988): 287–89. http://dx.doi.org/10.1016/0169-2070(88)90083-0.

Full text
APA, Harvard, Vancouver, ISO, and other styles
22

Silver, Stephen. "Economic forecasting for business." International Journal of Forecasting 4, no. 3 (January 1988): 499–500. http://dx.doi.org/10.1016/0169-2070(88)90118-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
23

Wrightsman, Dwayne. "Business cycles and forecasting." International Journal of Forecasting 5, no. 2 (January 1989): 283–85. http://dx.doi.org/10.1016/0169-2070(89)90099-x.

Full text
APA, Harvard, Vancouver, ISO, and other styles
24

Thompson, J. L. "Business cycles and forecasting." International Journal of Forecasting 7, no. 3 (November 1991): 387–88. http://dx.doi.org/10.1016/0169-2070(91)90013-l.

Full text
APA, Harvard, Vancouver, ISO, and other styles
25

Westlund, Anders. "Business cycles and forecasting." International Journal of Forecasting 8, no. 1 (June 1992): 114–16. http://dx.doi.org/10.1016/0169-2070(92)90018-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
26

Raeside, Robert. "Business forecasting and planning." International Journal of Forecasting 11, no. 1 (March 1995): 192–93. http://dx.doi.org/10.1016/0169-2070(95)90025-x.

Full text
APA, Harvard, Vancouver, ISO, and other styles
27

Makridakis, Spyros. "Business forecasting for management." International Journal of Forecasting 12, no. 3 (September 1996): 435–37. http://dx.doi.org/10.1016/0169-2070(96)00691-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
28

Armstrong, J. Scott. "Journal of business forecasting." International Journal of Forecasting 12, no. 1 (March 1996): 185–86. http://dx.doi.org/10.1016/0169-2070(96)88199-4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
29

Kolassa, Stephan. "The Business Forecasting Deal." International Journal of Forecasting 27, no. 2 (April 2011): 631–33. http://dx.doi.org/10.1016/j.ijforecast.2010.09.002.

Full text
APA, Harvard, Vancouver, ISO, and other styles
30

Ferrara, Laurent, and Dick van Dijk. "Forecasting the Business Cycle." International Journal of Forecasting 30, no. 3 (July 2014): 517–19. http://dx.doi.org/10.1016/j.ijforecast.2013.12.001.

Full text
APA, Harvard, Vancouver, ISO, and other styles
31

Tivegna, Massimo. "The business forecasting revolution." Journal of Policy Modeling 9, no. 4 (December 1987): 671–73. http://dx.doi.org/10.1016/0161-8938(87)90020-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
32

Duus, Henrik Johannsen. "Strategic business market forecasting." Strategic Change 8, no. 3 (May 1999): 173–82. http://dx.doi.org/10.1002/(sici)1099-1697(199905)8:3<173::aid-jsc410>3.0.co;2-h.

Full text
APA, Harvard, Vancouver, ISO, and other styles
33

Rötheli, Tobias F. "Should business rely on business cycle forecasting?" Central European Journal of Operations Research 26, no. 1 (May 22, 2017): 121–33. http://dx.doi.org/10.1007/s10100-017-0477-8.

Full text
APA, Harvard, Vancouver, ISO, and other styles
34

Olimjonovich Khafizov, Abdulla, and Sobirjon Samatovich Ruziev. "Importance Of Forecasting In Tourism And Hospitality Business." American Journal of Management and Economics Innovations 3, no. 05 (May 31, 2021): 95–99. http://dx.doi.org/10.37547/tajmei/volume03issue05-15.

Full text
Abstract:
This article analysis the importance of forecasting in tourism and hospitality. In addition, the main task of the article is to forecast the economic processes associated with the sale of services and products in the regions and tourist facilities, identify future trends and factors affecting tourism, forecast the development of tourism infrastructure, integration into the international tourism market, pricing policy, international tourism, an in-depth and extensive study of issues such as the role of research in development. Financial and social forecasting in a market economy is the logical forecast of things to come dependent on the past, the laws of improvement, patterns of the present, and the meaning of future advancement objectives and targets. Forecasting is vital in the hypothesis and practice of dealing with the nation's economy. The travel industry ought to make a solid financial reason for the new statehood, which is resolved to move to market relations, to utilize every one of the assets, to carry the economy into the positions of prosperous, economically developed countries.
APA, Harvard, Vancouver, ISO, and other styles
35

Sajja, Guna Sekhar, Harikumar Pallathadka, Khongdet Phasinam, and Myla M. Arcinas. "Machine Learning Techniques in Business Forecasting: A Performance Evaluation." ECS Transactions 107, no. 1 (April 24, 2022): 11431–37. http://dx.doi.org/10.1149/10701.11431ecst.

Full text
Abstract:
Business forecasting is the act of looking at how businesses have done in the past in order to use that information to predict how businesses will do in the future so that business strategies can be made to reach goals. Recent computer and technological changes have made it easier for businesses to collect and store data that can be used to make business decisions. If you want to make better decisions and plan better for your business, you use business forecasting to help you do that. It allows people to figure out important parameters and variables that can be controlled in advance so that management-oriented results can be achieved in the future. In simple terms, business forecasting is the act of predicting or projecting future trends based on company data. Forecasting is becoming more important in today's business world because companies are trying to make their customers happier while also cutting down on the costs of making and selling things and things. When a man runs a business, he has to try to figure out what will happen in the future, and his success or failure is very much dependent on how well he can predict the future. Forecasting tries to cut down on the uncertainty that managers have had to deal with when it comes to things like cost, profit, sales, production, and pricing. This article talks about how machine learning can be used to predict business outcomes.
APA, Harvard, Vancouver, ISO, and other styles
36

Šečkute, Laima, and Arnoldina Pabedinskaite. "APPLICATION OF FORECASTING METHODS IN BUSINESS." Journal of Business Economics and Management 4, no. 2 (June 30, 2003): 144–57. http://dx.doi.org/10.3846/16111699.2003.9636048.

Full text
Abstract:
In order to provide Lithuanian enterprises with methodical recommendations regarding forecasting, the authors of this article have analysed the advantages and limitations of various forecasting methods. The problem of the accuracy of business forecasts is considered in greater detail, and the practical ways of doing the evaluation and assurance of the accuracy of the forecasting methods under discussion are presented here. The authors of the article suggest that an integrated forecasting model should be applied as it is much more accurate than any forecasting that is provided by the mentioned methods when taken separately. This will help to reduce the cost of forecasting, which is of utmost importance to Lithuanian businesses.
APA, Harvard, Vancouver, ISO, and other styles
37

Alexander Ebralidze, Alexander Ebralidze, and Guguli Kurashvili Guguli Kurashvili. "FORECASTING BUSINESS PROCESSES UNDER EXTREME CONDITIONS." Economics 105, no. 1-2 (March 22, 2023): 100–110. http://dx.doi.org/10.36962/ecs105/1-2/2023-100.

Full text
Abstract:
The paper discusses the methodology of forecasting business processes, methods and their importance in extreme conditions of business process development. It has been shown that the main reason for the failure of business companies is incorrect management, which is mainly related to incorrect forecasting of the development of events and underestimation of expected risks. The attention is focused on qualitative, quantitative and expert methods of forecasting. Their features and specifics of use in extreme management conditions are analyzed. It is also about forecasting errors. Finally, a conclusion is drawn that it is preferable to use the combined forecasting methods in extreme management. Keywords: extreme situation, extreme management, forecasting the development of business processes, methodology and methods of forecasting.
APA, Harvard, Vancouver, ISO, and other styles
38

Wiśniewski, Jerzy Witold. "Forecasting in Small Business Management." Risks 9, no. 4 (April 9, 2021): 69. http://dx.doi.org/10.3390/risks9040069.

Full text
Abstract:
This work aims to verify an authorial forecasting method from a system of interdependent equations, which is based on empirical equations of the structural form and is mainly intended for econometric micromodels. The prediction procedure will be analogous to the so-called chain prediction that is used for recursive models. The difference—compared with the prediction from a recursive model—entails the necessity of using one of the reduced-form empirical equations to begin the procedure of constructing a sequence of forecasts from successive structural-form empirical equations. The research results presented above indicate that the above-proposed iterative forecasting method from structural-form equations of a system of interdependent equations guarantees synchronization of forecasts as part of a closed cycle of relations. A different number of iterations is required to obtain convergent forecasts. It can be noticed that the further ahead the forecasted period is, the more iterations should be carried out to obtain convergent forecasts. Small business management with the use of forecasting can be done remotely. Rapid updates of statistical information will require cloud-based communication. Completion of data in a cloud will allow, on one hand, accurate assessment of expired forecasts and, on the other, to update the predictor equations. This can be carried out at any place with Internet access.
APA, Harvard, Vancouver, ISO, and other styles
39

Amoroso, Nicola, Loredana Bellantuono, Alfonso Monaco, Francesco De Nicolò, Ernesto Somma, and Roberto Bellotti. "Economic Interplay Forecasting Business Success." Complexity 2021 (March 19, 2021): 1–12. http://dx.doi.org/10.1155/2021/8861267.

Full text
Abstract:
A startup ecosystem is a dynamic environment in which several actors, such as investors, venture capitalists, angels, and facilitators, are the protagonists of a complex interplay. Most of these interactions involve the flow of capital whose size and direction help to map the intricate system of relationships. This quantity is also considered a good proxy of economic success. Given the complexity of such systems, it would be more desirable to supplement this information with other informative features, and a natural choice is to adopt mathematical measures. In this work, we will specifically consider network centrality measures, borrowed by network theory. In particular, using the largest publicly available dataset for startups, the Crunchbase dataset, we show how centrality measures highlight the importance of particular players, such as angels and accelerators, whose role could be underestimated by focusing on collected funds only. We also provide a quantitative criterion to establish which firms should be considered strategic and rank them. Finally, as funding is a widespread measure for success in economic settings, we investigate to which extent this measure is in agreement with network metrics; the model accurately forecasts which firms will receive the highest funding in future years.
APA, Harvard, Vancouver, ISO, and other styles
40

A. Maithili, Prof. "NEURAL NETWORK TOWARDS BUSINESS FORECASTING." IOSR Journal of Engineering 02, no. 04 (April 2012): 831–36. http://dx.doi.org/10.9790/3021-0204831836.

Full text
APA, Harvard, Vancouver, ISO, and other styles
41

Carroll, Michael C., James H. Stock, and Mark W. Watson. "Business Cycles, Indicators, and Forecasting." Southern Economic Journal 62, no. 1 (July 1995): 272. http://dx.doi.org/10.2307/1061398.

Full text
APA, Harvard, Vancouver, ISO, and other styles
42

Gnana Singh, D. Asir Antony, E. Jebamalar Leavline, S. Muthukrishnan, and R. Yuvaraj. "Machine Learning based Business Forecasting." International Journal of Information Engineering and Electronic Business 10, no. 6 (November 8, 2018): 40–51. http://dx.doi.org/10.5815/ijieeb.2018.06.05.

Full text
APA, Harvard, Vancouver, ISO, and other styles
43

Fildes, Robert. "RESEARCH ISSUES IN BUSINESS FORECASTING." Management Research News 11, no. 4/5 (April 1988): 2–5. http://dx.doi.org/10.1108/eb027980.

Full text
APA, Harvard, Vancouver, ISO, and other styles
44

MARRIOTT, ALAN. "Forecasting in Business Statistics Courses." Teaching Statistics 8, no. 1 (January 1986): 8–11. http://dx.doi.org/10.1111/j.1467-9639.1986.tb00603.x.

Full text
APA, Harvard, Vancouver, ISO, and other styles
45

Geurts, Michael D. "Practical techniques of business forecasting." International Journal of Forecasting 3, no. 3-4 (January 1987): 532–33. http://dx.doi.org/10.1016/0169-2070(87)90052-5.

Full text
APA, Harvard, Vancouver, ISO, and other styles
46

Breece, James H. "Business forecasting and economic cycles." International Journal of Forecasting 7, no. 4 (March 1992): 533–35. http://dx.doi.org/10.1016/0169-2070(92)90038-b.

Full text
APA, Harvard, Vancouver, ISO, and other styles
47

Stekler, H. O. "Business cycles, indicators, and forecasting." International Journal of Forecasting 10, no. 2 (September 1994): 385–86. http://dx.doi.org/10.1016/0169-2070(94)90016-7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
48

Martino, Joseph. "Nonexplorative methods in business forecasting." Technological Forecasting and Social Change 30, no. 1 (August 1986): 92. http://dx.doi.org/10.1016/0040-1625(86)90058-2.

Full text
APA, Harvard, Vancouver, ISO, and other styles
49

Bijoy, Alesha. "Business Data Revenue Analysis." International Journal for Research in Applied Science and Engineering Technology 11, no. 8 (August 31, 2023): 2130–34. http://dx.doi.org/10.22214/ijraset.2023.55423.

Full text
Abstract:
Abstract: Forecasting time series data is an important subject in economics, business, and finance. This research paper aims to explore the effectiveness of three different time series forecasting techniques, namely ARIMA, SARIMA, and LSTM, along with a machine learning algorithm, Random Forest, in predicting revenue for a business organization. The study uses historical revenue data from a selected company and evaluates the performance of each model based on statistical metrics like root mean squared error (RMSE). The paper provides comparison of the accuracy of the four techniques. Root mean square error (RMSE) of LSTM was 42, 268.2197, Random Forest was 19398.4725 while ARIMA and SARIMA had 111413.5821 and 338174.3004 respectively. The findings of the study reveal that LSTM outperforms the traditional ARIMA and SARIMA models, but in terms of accuracy in revenue forecasting Random Forest outperforms all. However, the study also highlights the importance of selecting the appropriate model based on the nature and complexity of the data, as well as the availability of computational resources. The findings of this research can assist businesses in making informed decisions about revenue forecasting methods and contribute to the development of more effective revenue forecasting models.
APA, Harvard, Vancouver, ISO, and other styles
50

Rotheli, T. F. "Business Forecasting and the Development of Business Cycle Theory." History of Political Economy 39, no. 3 (September 1, 2007): 481–510. http://dx.doi.org/10.1215/00182702-2007-019.

Full text
APA, Harvard, Vancouver, ISO, and other styles
You might also be interested in the bibliographies on the topic 'Business forecasting' for other source types:
Dissertations / Theses Books
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography