30.08.2013 Aufrufe

OPEN JOURNAL OF KNOWLEDGE MANAGEMENT ...

OPEN JOURNAL OF KNOWLEDGE MANAGEMENT ...

OPEN JOURNAL OF KNOWLEDGE MANAGEMENT ...

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Open Journal of Knowledge Management<br />

relevant business topics (estimate the sales of new products). Since Tchibo was asking its employees<br />

for help on a real business issue this signaled that Tchibo values and appreciates the knowledge<br />

of its employees.<br />

In addition to this theme of appreciation, Tchibo also introduced an element of competition by using<br />

rankings which would show the weekly top forecasters from across the organization.<br />

Finally, some small material incentives were added in the form of Amazon vouchers which would<br />

reward the monthly top forecasters.<br />

Once these measure were in place, the Social Forecasting process was launched. Each week<br />

shop managers, warehouse workers and employees from HQ visited the Social Forecasting portal<br />

and made their sales predictions for the upcoming new products (see Fig. 3).<br />

Fig. 3: Forecasting process for new products with Social Forecasting (Source: Author)<br />

The predictions from the crowd where available immediately after the closing of the forecast. No<br />

market research or test sales were required to derive these forecasts. After an initial ramp-up<br />

phase the actual sales figures started to arrive each week. These were entered into the system<br />

which then automatically calculated the top forecasters – those whose forecasts were closest to<br />

the actual sales figures. This gave a boost to participation and was very well received by employees<br />

(Preller and Rudzinski, 2009).<br />

Evaluating Social Forecasting vs. Traditional Forecasting<br />

Ausgabe V/2012 Seite 29<br />

The Social Forecasting process was launched along the existing forecasting process for new<br />

products to allow for a direct comparison of the performance of both approaches. When the actual<br />

sales figures came in the project team computed the forecasting accuracy of both approaches.<br />

Table 1 shows the forecasting accuracy from both approaches. The established new product<br />

evaluation process had a forecasting accuracy of 87% while the new Social Forecasting process<br />

achieved 81% in its first five weeks (Preller and Rudzinski, 2009).

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