工業4.0下的創新設計迷思

Myths Surrounding Innovation Design in the Industry 4.0 Era

第四次工業革命引發不同的想像，但對消費者價值變遷仍未有定論。本研究深入資訊科技普及導致的個體化現象，分析生產方式限制降低促成的消費模式主動化和消費者瞬時化，探討邁入工業4.0環境時顯露的創新迷思，體現在「大」數據和物「聯」網的相關思維。進入工業4.0時代，資訊是重要的生產要素，也是創新的關鍵。湍流的資訊促使企業轉向個體化的市場觀點，持續估計消費者期待，在創新的同時累積對市場的隱性知識，用以調整估計，形成正向循環。從創新流程最佳化，轉移到串流化、超主動化，以維持資源配置的彈性。基於消費者期望的願景領導式創新將益發重要，考驗企業的歸因能力，要求管理者謹慎檢視自身的觀點，追求未來的、消費者經驗為核心的創新。 We have entered the era of Industry 4.0. To compete in this new era, companies must employ new computer technologies to more quickly and effectively deliver value to consumers; however, such employment can cause elevate consumer expectations, which in turn can generate volatile markets, the pace of which might be too quick for companies to keep up with. This situation demands the development of a new perspective on innovation. This study examined false perceptions or “myths” concerning innovation that occur if beliefs concerning Industry 3.0 are applied to Industry 4.0. Tracing back to industrial revolutions and markets exhibiting various characteristics, we identified the following two major myths. (1) Big data fosters innovation; however, too much information can paralyze a company's decision-making. (2) Incorporating information technology into objects generates more consumer value and higher resource efficiency. Possible remedying principles are discussed in this paper, namely (1) developing “streaming” instead of “project-based” innovation processes, and (2) recognizing the importance of vision-dominant innovations.

We have entered the era of Industry 4.0. To compete in this new era, companies must employ new computer technologies to more quickly and effectively deliver value to consumers; however, such employment can cause elevate consumer expectations, which in turn can generate volatile markets, the pace of which might be too quick for companies to keep up with. This situation demands the development of a new perspective on innovation. This study examined false perceptions or “myths” concerning innovation that occur if beliefs concerning Industry 3.0 are applied to Industry 4.0. Tracing back to industrial revolutions and markets exhibiting various characteristics, we identified the following two major myths. (1) Big data fosters innovation; however, too much information can paralyze a company's decision-making. (2) Incorporating information technology into objects generates more consumer value and higher resource efficiency. Possible remedying principles are discussed in this paper, namely (1) developing “streaming” instead of “project-based” innovation processes, and (2) recognizing the importance of vision-dominant innovations.