Studying productivity using a synergy between the balanced scorecard and analytic network process

In the competitive world of today, productivity, as a philosophy and viewpoint based on the strategy of improvement, is considered the most important approach available to service and manufacturing organizations for a stronger presence in the market, production growth, and expansion of activities. Indeed, total productivity management is the most important basis for activities in modern management. Low productivity levels are among the most serious issues in Iran, and all development plans emphasize the improvement of productivity as an important resource for economic growth. In this research, we study productivity and the influential factors in evaluating productivity in terms of human resources. We use the balanced scorecard (BSC) approach and the analytic network process for initial identification of effective indicators in productivity measurement. One of the advantages to this approach is that it uses all criteria and indicators in its evaluation process. Next, we use multiple-attribute decision-making methods to check our indicators. Moreover, we analyze our research findings across three scenarios, relying heavily on comments from experts in the oil industry.