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Measuring Productivity Across Organizational Growth

Publisher IDC
Published Jun 13, 2023
Length 11 Pages
SKU # IDC18012896

Description

Measuring Productivity Across Organizational Growth


This IDC Perspective introduces a model for organizations to self-assess the relationship between their digital readiness and common and new productivity measures. IDC research shows that although there are infinite ways to approach productivity constructs, three broad categories coalesce: traditional focuses on precision and efficiency; progressive focuses on agility and coagulation around value drivers; and advanced focuses on aggregated individualized contributions to the landscape for key performance indicators (KPIs) in support of qualified objectives and key results (OKRs). "At a time when many organizations are struggling to redefine productivity beyond traditional task-based metrics, it is clear that new, more holistic ways of working must emerge to capture the nuances of digitally defined work," says Amy Loomis, research vice president, Future of Work. "Accelerated automation of tasks in some functions will not necessarily require anchor measures to change but it will drive organizations to assess where more advanced assessments will be most valuable."

Please Note: Extended description available upon request.

Table of Contents

11 Pages
Executive Snapshot
Situation Overview
Three Levels of Organizational Readiness
Details on Traditional Organizations
Details on Progressive Organizations
Details on Advanced Organizations
Industry Examples
Evolving Means of Measuring Productivity
How Key Vendors Support Each Stage of Readiness
Challenges and Benefits Across the Readiness Spectrum
Productivity Challenges and Benefits for Traditional Work Models
Productivity Challenges and Benefits for Progressive Work Models
Productivity Challenges and Benefits for Advanced Work Models
Advice for the Technology Buyer
Next Steps for Traditional Organizations
Next Steps for Progressive Organizations
Next Steps for Advanced Organizations
Related Research
Synopsis

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