Author(s):  
Nensy Yohana Natalia Pasaribu

Agriculture produces processed product which is perishable, so that the agricultural product should be distributed immediately. Processed product can be promoted to attract consumers to buy the product. One of the media that can be used to promote processed agricultural product is social media. Social media is needed to ease the marketing activity on the product. Social media is viral and can be delivered directly and personally to the consumer. Indicators are used to know the effectiveness of the social media as promotion media with AIDA concept. The results showed that promotion through Instagram has not been effective in the stages of attention (attention), interest (interest), desire (desire), and action (action). This study also explains that there is a relationship between the characteristics of gender followers and the level of social media exposure to the frequency of messages. In addition, there is also a relationship between the frequency of message feedback, message attractiveness, and intelligence in delivering messages with the interest stage. 


2021 ◽  
Author(s):  
Julinawati Suanda ◽  
Mohamad Rezal Hamzah ◽  
Zamzaliza A. Mulud ◽  
Suffian Hadi Ayub ◽  
Husna Afifi Mohd Yusoff

1996 ◽  
Vol 12 (3) ◽  
pp. 435-437
Author(s):  
Spyros Makridakis
Keyword(s):  

2021 ◽  
Vol 53 (6) ◽  
pp. 139-174
Author(s):  
Laetitia Lenel

The article investigates the methods and conceptions of statistical inference used in business forecasting in the United States and in Europe in the 1920s. After presenting the methods and arguments used by the members of the Harvard Committee on Economic Research in the first years after its establishment in 1919, the article explores the far-reaching changes in method and conviction from 1922 on. The members’ realization that the future evolved differently than predicted prompted them to give up their hope for mechanical means of forecasting and to revoke their calls for the employment of the mathematical theory of probability in economics. Instead, they established an extensive correspondence with economic and political decision-makers that allowed them to base their forecasts on “inside information.” Subsequently, the article traces European attempts to adopt the Harvard Index of General Business Conditions in the early 1920s. Impressed by the seemingly mechanical working of the Harvard index, European economists and statisticians sought to establish similar indices for their countries. However, numerous revisions of the Harvard index in the mid-1920s cast doubt on the universality of the index and the existence of stable patterns and led European researchers to pursue different paths of investigation. The article complicates the larger history of statistical inference in economics in two meaningful ways. First, it argues that statistical inference with probability was not the long-sought solution for the problem of objectivity but a long-contested, and repeatedly discarded, approach. Second, it shows that these contestations were often triggered by deviations between forecasts and the conditions actually observed and by this means argues for the importance of the historical context in the history of economics.


1984 ◽  
Vol 15 (2) ◽  
pp. 128-133
Author(s):  
S. C. Gous

Choice of a forecasting technique Business forecasting has developed rapidly over the past few years as a result of the increasing complexity of the environment of the firm. Some researchers assert that businesses apparently experience three problems with reference to forecasting: a preference for the application of certain techniques is built up so that more suitable techniques are not utilized; not all relevant factors are taken into consideration in the choice of the most suitable technique; and managers often do forecasting themselves even though they possess little knowledge thereof. To handle the increasing variety and complexity of managerial forecasting problems, many forecasting techniques have been developed in recent years. Each has its special use, and care must be taken to select the correct technique for a particular application. The manager as well as the forecaster has a role to play in technique selection and the better the manager understands the range of forecasting possibilities, the more likely it is that a company's forecasting efforts will bear fruit.


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