1. What would you recommend to the board of NCRCC with respect to adding or changing programming activities like social activities for adults, families with children, and children?
Based on the initial investigation, and after the discarding of error sources, I would recommend to the board to incorporate more social activities for the adults (Cooper & Schindler, 2014, p. 256). This is due to the seasoned members’ complaints on the lack thereof. After a poll was taken and the external validity was verified through scientific measurement, social activities seemed to be one of the biggest concerns for the tenured members. An index was created to further measure customer satisfaction of the younger group in regards to the same construct and they also determined there must be an upgrade within the operation for adults, children, and families with children.
In addition, if further measurements were taken using the half-split technique, a correlation could have been determined which is essential in the testing of the reliability of the internal consistency. The homogeneity across the board (between the tenured members and the newer members) is very consistent among customers. Since some of the concerns were about the speed of service (at the 37th hole), and the professionalism of the wait staff, I would also recommend the leadership at the facility create team building exercises within different departments to introduce ideas or new ways to improve the social activities for its customers. Many times where are gaps in performance, all it takes is for the teams to use principled entrepreneurship to creatively destroy their old ways of thinking. If there was an iPhone 4s, the makers of the 4s must continually figure out a way to create a 5s. This in essence cannibalizes their very own “old” technology. The same would apply to NCRCC and the way it chooses to treat its customers.
2. What would you recommend with respect to changing current operations?
References: Conrad, F. G., & Blair, J. (2009). Sources of error in cognitive interviews. Public Opinion Quarterly, 73(1), 32-55. Cooper, Donald R., and Pamela S. Schindler. "14." Business research methods. 11th ed. New York: McGraw-Hill/Irwin, 2011. 369. Print. Tan, K. L. L., Lambert, P. (2009). Enabling quantitative data analysis through e-infrastructure. Social Science Computer Review, 27(4), 539-552. doi:http://dx.doi.org/10.1177/0894439309332647.