BUSI 750 Week 6 Team Application, Reflection, and Synthesis Paper Example

Designing Work People Can Grow In: A Team Application of Work Design Research to a Distribution Center

Introduction

The regional distribution center we studied ships grocery and household goods to 140 stores. Its 260 order pickers walk the aisles with wrist-mounted scanners that tell them which location to visit, how many units to pick and which tote to place them in. The system has raised the average picking rate by about 12 percent since it was installed three years ago. In the same period, annual turnover among pickers has risen to nearly 70 percent, and the center now hires and trains about 180 new pickers a year. Each new picker takes about six weeks to reach the standard rate, so much of the productivity gain is lost to constant onboarding. Our thesis is that the picker job has been designed for control rather than for people, and that a redesign guided by work design research and by the course's account of human work can keep the efficiency while making the job one people want to stay in.

Application: Diagnosing the Picker Job

In the model Hackman and Oldham (1976) tested, five core job characteristics (the variety of skills a job uses, whether it yields a whole and identifiable piece of work, its significance to others, the autonomy it allows and the feedback it provides) produce three psychological states: experienced meaningfulness, felt responsibility for outcomes and knowledge of results. Those states, in turn, raise internal motivation and satisfaction and reduce absenteeism and turnover. Scored against that model, the picker job is low on almost every dimension. Skill variety is minimal, since every pick follows the same steps. Task identity is weak, because pickers fill totes for orders they never see completed. Autonomy is close to zero, since the scanner decides the sequence and pace. Feedback exists, but only as a rate on a screen. Task significance is the one strength: pickers know that stores depend on accurate orders, but nothing in the job connects them to that outcome.

Later research widened the model. Humphrey et al. (2007) meta-analyzed 259 studies covering more than 219,000 participants and found that 14 work characteristics explained, on average, 43 percent of the variance in the worker attitudes and behaviors studied. Their most important extension for our case concerns social characteristics. Beyond the motivational characteristics, social characteristics such as working interdependently, hearing from coworkers and being supported by them explained substantial additional variance, including 24 percent more in turnover intentions. Pickers at the center work alone for entire shifts, separated by aisles, with their only contact a supervisor who appears when rates fall. The research suggests that this isolation is as much a cause of turnover as the repetitive tasks.

Hardy's fourth chapter explains how jobs like this come to exist. Hardy (1990) traces the influence of Frederick Taylor's scientific management, which divided work into its smallest measurable motions, transferred judgment from workers to planners and paid for output. Taylor (1911) presented the approach as a way to raise productivity and wages together, and in narrow terms it often did. Hardy's objection is that it treats the worker as an extension of the machine and ignores the human capacities for judgment, cooperation and care that work can engage. The scanner system is a digital form of the same logic: the planning is done by software, and the picker carries out instructions.

Reflection: What Each of Us Brought to the Problem

Our team agreed that each member would reflect on a job they had held or designed, because the case made us uncomfortable in different ways.

Ruth's reflection: I spent four years as an operations analyst at a different distribution company, and I designed a scanner workflow very much like this one. My goal was to remove decisions from pickers so new hires could be productive within days. I measured success by picks per hour and error rates, and by those measures my design worked. I never measured whether pickers stayed. Scoring my own old design against the five characteristics in Hackman and Oldham (1976), I can see that I engineered autonomy and task identity out of the job and called it efficiency.

Daniel's reflection: My first job was in a poultry processing plant, deboning on a line. I remember the line speed more than any person I worked with, because the pace left no room for conversation. Humphrey et al. (2007) put words to what I felt: the lack of social contact was as draining as the repetition. I left after eight months. I now manage a team of claims processors, and this assignment made me ask whether I have designed their jobs any better.

Leah's reflection: I have spent my career in HR, and I have usually treated turnover as a recruiting problem. When pickers left, we improved job advertisements and shortened onboarding. Hardy's chapter challenged that habit. If the job itself is the cause, then faster hiring only feeds people into a design that pushes them out. I have also had to reflect on how easily HR accepts the operations department's design of work as fixed.

Synthesis: A Redesigned Picker Role

Bringing the research and our reflections together, we propose a redesigned picker role that keeps the scanner system's accuracy while restoring the characteristics the research identifies. Wrzesniewski and Dutton (2001) showed that employees often reshape their own jobs, changing tasks, relationships and the meaning they assign to the work, to make them more meaningful. Our redesign gives pickers deliberate room to do so.

First, pickers would work in zone teams of eight, each responsible for complete orders for a set of stores rather than isolated picks. This restores task identity and adds interdependence, a social characteristic Humphrey et al. (2007) linked to lower turnover intentions. Teams would see store accuracy reports for their orders, which connects their work to its significance and provides feedback from beyond the screen.

Second, pickers would rotate weekly among picking, replenishment, quality checking and loading. Rotation adds skill variety, and quality checking gives pickers a role in judging work rather than only performing it.

Third, each zone team would open each shift with a brief zone huddle and meet once a month in a problem-solving session to suggest changes to slotting or routes, with authority to test changes within the zone. This returns a measure of autonomy and planning to the people doing the work, the part of the job Taylor's method removed. Supervisors would be trained to act as coaches for these sessions rather than as rate monitors, and the center's engineers would review each team's proposals within a week so that suggestions visibly lead somewhere.

Fourth, the center would create a skills path from picker to zone lead to inventory control, with pay steps tied to demonstrated skills, so that development has a visible destination. A picker who learns replenishment, quality checking and loading through rotation would already hold most of the skills a zone lead needs, so the rotation doubles as the first stage of the path.

The synthesis is also theological. Hardy (1990) argues that work should be designed to engage the full range of human capacities, and Keller and Alsdorf (2012) describe work as a means of serving others with one's abilities. A job designed so that people use judgment, cooperate with coworkers and see whom they serve honors both claims. It also fits the argument in Mello (2015) that HR practices should be aligned with one another, because the redesign links job design, development and pay rather than changing one in isolation.

We recommend piloting the redesign in two of the center's six zones for six months. The measures would be turnover, picking rate, order accuracy, absenteeism and a short survey of the job characteristics at the start and end of the pilot. If turnover falls without a large loss in picking rate, the center will have shown that efficiency and humane design need not compete.

Conclusion

The picker job at this distribution center is an efficient design that people leave. Work design research explains why: it lacks variety, identity, autonomy and social contact, and the meta-analytic evidence links those characteristics to satisfaction and turnover. Hardy's history of scientific management explains how such designs became normal, and our own reflections showed us how easily each of us has reproduced them. The redesign we propose tests whether a job can be organized around people as well as throughput. If the pilot succeeds, it will offer the center a way to stop paying for turnover with constant hiring and to give its pickers work they can grow in.

References

Hackman, J. R., & Oldham, G. R. (1976). Motivation through the design of work: Test of a theory. Organizational Behavior and Human Performance, 16(2), 250-279. https://doi.org/10.1016/0030-5073(76)90016-7

Hardy, L. (1990). The fabric of this world: Inquiries into calling, career choice, and the design of human work. Eerdmans.

Humphrey, S. E., Nahrgang, J. D., & Morgeson, F. P. (2007). Integrating motivational, social, and contextual work design features: A meta-analytic summary and theoretical extension of the work design literature. Journal of Applied Psychology, 92(5), 1332-1356. https://doi.org/10.1037/0021-9010.92.5.1332

Keller, T., & Alsdorf, K. L. (2012). Every good endeavor: Connecting your work to God's work. Dutton.

Mello, J. A. (2015). Strategic human resource management (4th ed.). Cengage Learning.

Taylor, F. W. (1911). The principles of scientific management. Harper & Brothers.

Wrzesniewski, A., & Dutton, J. E. (2001). Crafting a job: Revisioning employees as active crafters of their work. Academy of Management Review, 26(2), 179-201. https://doi.org/10.5465/amr.2001.4378011