Knowledge workers labor to meet their business goals with the support of practical information technology (IT) tools. IT advances can be organizational enablers, when aligned with business goals, and when selectively applied. Workplace leaders and their workers often experience a productivity paradox. This paradox forms an operational limit for current knowledge workers and organizational success. Performance management steps within a Balanced Scorecard (BSC) framework can help overcome workplace productivity paradoxes. The BSC frames and tabulates lagging and leading indicators of IT tools’ usage and soft skill engagements. These adaptive measures dashboard workplace progress and success for organizations of all sizes and in public and private sectors. Lessons can be learned from BSC deployment successes in several business sectors. Valued practices exist to pick / monitor / adapt organizational capability objectives, measures and HR initiatives. Can right IT tool(s) or application(s) help achieve aligned business goals? Yes. Certain IT applications can favorably frame learning and development (L&D) efforts and metrics for knowledge workers as most valuable players, or MVPs.How do knowledge workers and their business leaders manage and leverage these IT applications for employee L&D to improve organizational capabilities? How do they address and adapt to complex and chaotic business conditions, and manage disruptive technologies: a. Artificial Intelligence (AI), b. The Internet of Things (IoT), and c. Data Analytics? Prudent managers and workers can accommodate these conditions and disruptions with agile, productive BSC approaches to generate productivity-ware and to attain their aligned business goals.
Frost, D.E. (2019), "Advanced Information Technology: Improve Workplace Productivity with Balanced Scorecard Actions", Gordon, P.A. and Overbey, J.A. (Ed.) Advances in the Technology of Managing People: Contemporary Issues in Business (The Changing Context of Managing People), Emerald Publishing Limited, pp. 51-67. https://doi.org/10.1108/978-1-78973-073-920191005Download as .RIS
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