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Entries from October 2009

Merangkai Senyum Indonesia

October 24, 2009 · 2 Comments

publikasi 3 IEC

Categories: entrepreneurship

Tebak Harga

October 21, 2009 · 1 Comment

ada yg tau harga helm ini berapa?

ada yg tau harga helm ini berapa?

ternyata harganya cuma Rp7.500,00

ternyata harganya cuma Rp7.500,00

Categories: tentang apa pun

Majalah Keprofesian Kemahasiswaan ITB

October 21, 2009 · Leave a Comment

Categories: knowledge

Mengendalikan atau Dikendalikan?

October 20, 2009 · Leave a Comment

publikasi 2 IEC

Categories: entrepreneurship

Technological Forecasting

October 19, 2009 · Leave a Comment

Strategies and plans are for the future. But if the future differs from the present, plans based on today’s world will become obsolete. One way to avoid this problem is to forecast conditions that will be in place when plans are actually implemented. Market and sales forecasts are typical for any unit, but technology forecasting is different.

The technology S-curve represents actual behaviour and measurements that can be made on the progres of a technology, usually of individual technical approaches to solving technical problem. Technology S-curves of performances generally assume an uppear limit based on physical capabilities determined by the underlying science of the area.

Diffusion of innovation can also be represented on an S-curve. The proportion of a population of potential adopters of a new technology can be plotted on the y-axis and time can be plotted on the x-axis of a graph. Here, the upper limit is the size of the population of potential adopters. For example, the proportion of the US merchant marine using mechanical power began to escalate rapidly after 1820 and slowed down dramatically after 1990, approaching 100 percent in 1960. The S-curve can be approximated with what is often called the growth curve of logistic curve, which is several alternative mathematical functional formulae.

Although the relationship between teh technology S-curve and technological forecasting with growth curves may be obvious, it may not be obvious why we would want to make the effort to forecast technology at all. We could ask the same question about sales forecasting. Although most companies do sales forecasting, many firms have more that one forecast in place. Marketing forecasts tend to be different from production or operations forecasts.

Operational plans often begin wit forecasts of demand required, quite independently of why demand is growing, in on a plateau, or is declining. Technology plans, then, ought to begin, at least in part, with forecasts about technology progress, quite independently of how or why these technological changes ought to occur. Dr.Martino says that anybody, any organization, or any nation that is affected by technology is, by default, entering into a forecasting exercise when resources are committed. By implication, the alocation of resources make assuptions about the technology future. The alternatives to forecasting systematically are all used periodically: no forecast (or future same as past); window blind (linear) forecasting; panic or crisis forecasting, or asking someone who has been successful in the past to forecast the the future again.

The virtues of using systematic technological forecasting is that these methods can be taught and mastered by people for cross-referencing, reviewed for soundness, and documented for learning when actual changes occur. If forecast are precise, they can be checked for accuracy, and even if they are incorrect, they can still be helpful, because a measure of forecasting performance is possible when the prediction is explicit.

There are foru basic methods of technological forecasting :

  • extrapolation extension of a time-series pattern or trend, or incorporation of cycles is very useful for long term forecasting
  • leading indicators act as barometers. Sometimes data are not directly available, so data on indicators like patens are often used
  • causal models predict outcomes based on cause and effect. For example, scientist know an eclipse will occur based on the laws of physics.
  • Probabilistic models produce a probability distribution for various outcomes.

Categories: knowledge

Mahasiswa Jadi Kuli?

October 17, 2009 · 1 Comment

publikasi IEC

Categories: entrepreneurship

Sukses di Intrapreneurship

October 16, 2009 · Leave a Comment

Setiap ide baru pasti tidak disenangi oleh sejumlah orang. Tidak bisa dibantah bahwa menjadi intrapreneur itu susah, bahkan di perusahaan yang paling toleran sekalipun. Jadi, bagaimana agar menjadi intrapreneur yang sukses?

Lakukan apapun yang diperlukan untuk membuat idemu maju setahap (lagi). Jika anda adalah seorang peneliti tapi masalah terjadi di proses manufaktur, masuklah secara diam-diam dan buat sebuah proses yang baru. Jika masalah terjadi di bagian pemasaran, lakukan riset pemasaran anda sendiri. Andaikan itu berarti menyapu lantai, lakukanlah itu. Lakukan apapun yang diperlukan untuk membuat idemu maju setahap (lagi). Tidak perlu dikatakan (memang), tapi hal seperti ini tidak akan selalu diapresiasi.

Lebih mudah meminta maaf daripada meminta izin. Jika anda bertanya ke sekitar anda, anda akan mendapat jawaban yang tidak anda inginkan. Jadi, kerjakan yang perlu anda kerjakan dan bertanyalah nanti. Manajer harus mendorong bawahannya untuk melakukan ini. Penting untuk menghilangkan beberapa lapis manajemen yang rumit dan banyak membutuhkan persetujuan.

Buatlah diri anda merasa bekerja dalam keadaan terdesak. Intrapreneur seperti seorang prajurit, harus memiliki dorongan dari dirinya sendiri untuk melakukan yang benar daripada terjebak dalam hirarki organisasi yang akan menghentikan mereka dari apa yang benar untuk dilakukan. Dorongan dari dalam diri yang besar, berasal dari keyakinan intrapreneur untuk melakukan apa yang seharusnya dilakukan.

Lakukan pekerjaan bawah tanah (underground) sebanyak yang anda bisa. Setiap organisasi memiliki sistem imun. Setiap ide segar yang muncul pasti akan bertemu dengan sistem imun ini. Sistem ini akan memperlambat gerak ide segar untuk direalisasikan. Dalam hal ini organisasi tidak salah, karena organisasi yang tidak memiliki sistem imun akan mati. Tapi kita harus mencari cara agar ide segar (terutama yang bagus) tidak dimatikan oleh sistem imun organisasi. Ini adalah bagian dari tugas seorang manajer untuk mengenali ide mana yang perlu direalisasikan dan ide mana yang tidak perlu direalisasikan.

Categories: organisasi