Purpose -Process mapping is used to articulate the activities and procedures of business entities in a graphical way as pictorial images readily convey considerable information. The objective of this research is to provide evidence and a methodology to assist organizations in evaluating the early stages of their process mapping efforts. Design/methodology/approach -A review of literature identifies key characteristics of transparency (process visibility) related to process mapping. Quizzes and surveys are used to study the impact of process mapping on transparency in an employee training session. Findings -The paper finds that process mapping increases transparency between 5 percent and 27 percent for the applications discussed in this paper.Research limitations/implications -The research presumes that better understanding and recall of the company's business processes equates to higher transparency. This research study is limited to one field test, organization, and process mapping methodology. These limitations should be considered when extrapolating the results to other organizations. Practical implications -The methodology outlined in this paper provides a way to measure the impact that formalizing (mapping) an organization's business processes and then using these maps to communicate the organization's business processes has on an individual employee's understanding and recall of those business processes. This methodology may help other organizations evaluate the early stages of their process mapping efforts. Originality/value -A measurable definition of transparency is developed. A field study provides evidence that process mapping increases transparency and a methodology is shared for others to study the impacts of their process mapping efforts.

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Developing sustainable business models incorporating effects on people, profit, and planet is becoming an increasingly important strategic issue. Benchmarking with peer companies can assist a company in setting goals of improving its performance. As such, developing a methodology for effectively benchmarking sustainable business practices is an important step in the evolution of sustainability management. However, a company's sustainability performance is composed of many elements that may involve difficult tradeoffs, and its performance may vary over time. In this paper, we propose a data-driven approach of innovatively adapting statistical process control charts, conventionally used in quality control, to simultaneously compare multiple performance measures and analyze variation in both trend and performance among companies in a given industry. We apply this approach to benchmarking the sustainability performance of companies in the US utility industry and demonstrate it is robust and reliable for benchmarking the performance of companies in virtually all industries.