Page 369 - The Handbook for Quality Management a Complete Guide to Operational Excellence
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356     C o n t i n u o u s   I m p r o v e m e n t                                                                                                                       C o n t r o l / V e r i f y   S t a g e    357


                                the  effects  of  rewards,  that  people  who  receive  the  rewards  as  well  as
                                those who hand them out suffer a loss of incentive—hardly the goal of the
                                exercise!
                                   Rather than provide cookbook solutions to the problem of rewards
                                and  incentives,  Kohn  offers  some  simple  guidelines  to  consider  when
                                designing reward systems.
                                    1.  Abolish incentive pay (something Deming advocated as well). Hertzberg’s
                                       hygiene theory tells us that money is not a motivator, but it can be
                                       a  de-motivator.  Pay  people  generously  and  equitably;  then  do
                                       everything in your power to put money out of the employee’s mind.
                                    2.  Reevaluate  evaluation.  Review  Chap.  20  for  information  on  per-
                                       formance appraisals and alternatives.
                                    3.  Create conditions for authentic motivation. Money is no substitute for
                                       the real thing—interesting work. Here are some principles to use
                                       to make work more interesting:
                                       a. Design interesting jobs. Give teams projects that are intrinsically
                                         motivating, for example, projects that are meaningful, challen-
                                         ging, and achievable.
                                       b. Encourage  collaboration.  Help  employees  work  together,  then
                                         provide the support needed to make it possible for the teams to
                                         accomplish their goals.
                                       c.  Provide freedom. Trust people to make the right choices. Encourage
                                         them when they make mistakes.


                      Training

                                When  quality  improvement  plans  are  implemented,  the  nature  of  the
                                work being done changes. People involved in or impacted by the new
                                approach  must  receive  two  different  types  of  training:  conceptual  and
                                task-based.
                                   Conceptual  training  involves  explanation  of  the  principles  driving  the
                                change and a shift from an internal, product-based perspective to a cus tomer
                                and process-based focus. Rather than viewing their jobs in isolation, employ-
                                ees must be taught to see all work as a process, connected to other processes in
                                a system. Rather than pursuing a goal of “control,” where activities are done
                                the same way indefinitely, employees learn that continuous improvement is
                                to be the norm, with processes constantly being changed for the better. The
                                PDCA cycle discussed in Chap. 12 is helpful. Such ideas are radically dif ferent
                                and difficult to assimilate. Patient repetition and “walking the talk” are essen-
                                tial elements of such training.
                                   Conceptual  training  also  involves  teaching  employees  the  basics  of
                                prob lem-solving.  Data-driven  process  improvement  demands  an  under-
                                standing of the fundamentals of data collection and analysis. In Six Sigma








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