Skip to main content

The Misconception of ‘No Planning’ in Effectuation

The Misconception of ‘No Planning’ in Effectuation






A common misconception about the method of effectuation is that it means ‘no planning' which is not true at all. While effectuation does indeed deviate from conventional strategic planning, it does not imply an absence of planning. Instead, effectuators engage in a special kind of planning—one that is adaptable, flexible, and iterative (Sarasvathy, 2001).

 

Effectuation is the process of progressively improving the plan of action through experimentation and feedback. The ventures begin with limited resources and often vague objectives, but through a series of calculated steps and methods, effectuators develop their ventures based on the situations (Read et al., 2016). They do not wait for the perfect plan; rather, they start with what they have and who they are, building upon their means to forge new opportunities.

 

In the effectuation approach, action is given priority over extensive preparation. This does not mean that planning is entirely forgotten. On the contrary, planning in effectuation is akin to ‘planning as learning.’ It is a dynamic process that allows effectuators to make frequent revisions and enhancements to their plans in response to fresh feedback and past experiences (Sarasvathy, 2001, p. 252). This iterative process is important to adapting to the evolving landscape of entrepreneurship.

 

 

Effectuation requires a high level of planning, but this form of planning is more dynamic and adaptable to varying situations and conditions (Dew et al., 2016). As effectuators are required to adapt rapidly to the evolving situation and react accordingly, planning within this methodology becomes an iterative process.


Reference List:

Sarasvathy, S. D. (2001). Causation and effectuation: Toward a theoretical shift from economic inevitability to entrepreneurial contingency. Academy of Management Review, 26(2), 243-263.

Sarasvathy, S. D. (2008). Effectuation: Elements of entrepreneurial expertise. Edward Elgar Publishing.

Read, S., Sarasvathy, S. D., Dew, N., & Wiltbank, R. (2016). Effectual entrepreneurship (2nd ed.). Routledge.

Comments

Popular posts from this blog

Case Study Analysis on GrabFood

 Case Study Analysis on GrabFood The food delivery division of the Grab superapp company, GrabFood, offers an interesting case study of how to reinvent the ordering and delivery of food through the use of design thinking methadology. What is? GrabFood is well-established food delivery service with operations throughout Southeast Asia. Through the Grab mobile app, customers can place orders for food from a variety of restaurants, and Grab's network of delivery partners will deliver it. By capitalising on the growing demand for convenient food delivery services in the area, GrabFood has expanded much quicker than expected (Sawangrak, 2018) . What if? Thinking "what if" with a design thinking perspective presents some intriguing possibilities. What if GrabFood could do in-depth, compassionate research to gain a deeper understanding of the unmet requirements and pain areas of its delivery partners, restaurant partners, and customers? What if the ordering and delivery of mea...

Assessing the Value: Did Facebook Overpay for WhatsApp?

 "Assessing the Value: Did Facebook Overpay for WhatsApp?" In 2014, Facebook made headlines by acquiring WhatsApp for an astonishing $19 billion. At the time, the deal raised eyebrows and prompted debates about whether Facebook had overpaid for the messaging app. To assess whether Facebook overpaid for WhatsApp, it's crucial to consider the strategic value WhatsApp offered in terms of user base, market penetration, and future revenue potential (Satariano & Rusli, 2014). WhatsApp boasted over 450 million monthly active users and was adding an additional million users every day at the time of the acquisition (Tsotsis & Constine, 2014). This massive and growing user base was crucial for Facebook, which sought to strengthen its position in the mobile messaging market and expand its global reach, particularly in emerging markets where WhatsApp was more popular (Goel & Isaac, 2014). Furthermore, WhatsApp's engagement rates and user loyalty were exceptionally hig...

Improving Border Security Using Artificial Intelligence

Securing Borders with AI: A Vision for Enhanced Safety and Efficiency The implementation of Artificial Intelligence (AI) offers transformative solutions to bolster border security, addressing various challenges through advanced surveillance, data analysis, and automated systems. By integrating AI technologies, authorities can enhance the efficiency and effectiveness of security measures at national borders. AI-powered surveillance systems, including drones and cameras equipped with facial recognition technology, can monitor vast and rugged terrains, identifying unauthorized entries or suspicious activities in real-time. These systems operate continuously, overcoming human limitations of fatigue and distraction, thereby ensuring a constant vigil over sensitive areas. Furthermore, AI excels in analysing massive datasets rapidly, a capability that can be harnessed to scrutinise travel documents, biometric data, and historical patterns to flag potential security threats...