A process of correcting errors using past routines and present policies is :

Question

Accepted Answer

The correct option is 2:
Single-loop learning, a key concept developed by Chris Argyris and Donald Schön, is precisely the process described: correcting errors by making adjustments within a set of pre-existing goals, norms, or policies. In this form of learning, the organization detects a deviation from a standard and simply corrects its actions or performance to bring them back in line with the current "governing variables," such as past routines and present policies. For example, if a firm's inventory level is too high, single-loop learning adjusts the reorder quantity to meet the existing target level. It is essentially about "doing things right" according to the established framework, without ever questioning whether the framework itself (the policy or routine) is optimal or correct.

The incorrect option is 1:
Double-loop learning, in contrast, involves a far more profound and transformative process. It occurs when an error is detected and corrected by first questioning and then modifying the underlying policies, goals, and standard routines that led to the error. This is a higher-level learning that challenges the *why*—it asks, "Are we doing the right things?" not just "Are we doing things right?". Since the question explicitly states that the process uses the *existing* routines and policies for correction, double-loop learning, which *changes* them, is an incorrect choice.

The incorrect option is 3:
Organizational learning is a much broader, all-encompassing concept. It describes the entire process by which an organization develops knowledge, skills, and understanding that influences its behavior. Both single-loop and double-loop learning are mechanisms *within* the overall umbrella of organizational learning. Because the question specifies a particular *type* of error correction that relies on existing frameworks, the general term "Organizational learning" is not the most precise answer.

The incorrect option is 4:
Trial and error learning is a primitive form of learning that involves repeated attempts until success is achieved, often without a deep understanding of the cause-and-effect relationship. While it is a learning method, it typically does not involve the systematic "correcting errors using past routines and present policies" but rather the discovery of new, working routines through haphazard experimentation. Therefore, it lacks the formal, systematic reliance on established policies implied by the question.