Coding activities, a fundamental component of supply management data governance, encompass a range of procedural steps to ensure data integrity and usability. A robust coding process involves assigning direct responsibility (A) to a specific person or team for creating and applying codes. To ensure organizational alignment and prevent downstream issues, the process also requires that relevant stakeholders (e.g., finance, engineering, logistics) receive notification (B) of new or updated codes. Finally, to maintain control and consistency, a formal approval (C) step is typically required from a manager or data governance body before a code is finalized and entered into the system.

A. Direct responsibility: This is only one component. It omits the critical control (approval) and communication (notification) aspects of a complete coding process.

B. needs notification: This is a communication output of the process but does not include the action of creating the code (responsibility) or the governance step (approval).

C. issues approval: This is a vital governance checkpoint but excludes the initial work (responsibility) and the necessary dissemination of information (notification).

1. BPM

C. (2013). Business Process Management - The Core of Knowledge. In: Business Process Management. Management for Professionals. Springer

Berlin

Heidelberg. This text outlines standard business process design

which includes defining roles (responsibility)

control points (approval)

and communication flows (notification) as essential for any managed activity

including data coding.

2. Spruit

M.

& Pietzka

K. (2015). MDM-RF: A framework for master data management. International Journal of Information Management

35(1)

107-117. This academic paper on Master Data Management (MDM) highlights that governance frameworks

which apply to coding systems

require clearly defined roles and responsibilities

approval workflows

and communication protocols to ensure data quality across an enterprise.

3. Monczka

R. M.

Handfield

R. B.

Giunipero

L. C.

& Patterson

J. L. (2016). Purchasing and Supply Chain Management (6th ed.). Cengage Learning. Chapter 17

"Purchasing and Supply Chain Information Systems and Technology

" discusses the importance of data accuracy and system integration. Implementing such systems necessitates structured processes for data entry and management (e.g.

for item or supplier master files)

which inherently involve responsibility

approvals

and notifications to maintain data integrity.