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An Evaluative Analysis of Retail Chains in the 21st Century Leon Grove University of Phoenix
Committee Membership ,[object Object],[object Object],[object Object],2
Problem Statement  ,[object Object],3
Support for the Problem Statement ,[object Object],[object Object],Literature supports the hypothesis that customer satisfaction may not lead to customer loyalty in several  situations: 4
Purpose Statement ,[object Object],5
Significance of Study/Leadership ,[object Object],[object Object],[object Object],6
Research Questions ,[object Object],[object Object],7
Research Questions ,[object Object],[object Object],[object Object],8
Hypotheses ,[object Object],[object Object],[object Object],[object Object],9
Hypotheses ,[object Object],[object Object],[object Object],[object Object],10
Hypotheses ,[object Object],[object Object],11
Relevant/Important Research Betancourt et al., (2007) research results imply that “distribution services are the main mechanism through which retailers can influence customer satisfaction with a transaction at the supermarket level” (p. 311). Bowden (2009) conceptualized that “companies have a continued reliance on marketing to assess customer responses to their products and services in the belief that high levels of satisfaction will lead to increased customer loyalty, intention to purchase, word-of-mouth recommendations, profit, market share, and return on investments” (p. 63). 12
Methodology ,[object Object],[object Object],[object Object],13
Target Population The population for this research study are several leading retail chain for consumer goods in the US.   14
Sample The research study surveyed a sample of consumers to gain a better understanding of their overall level of satisfaction and loyalty as well as their satisfaction with specific variables related to their shopping experience at these stores.   The total sample for this study were 126 respondents who shopped at Wal-Mart, Target, and Kroger Stores. 15
Analyses ,[object Object],16
Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],17
Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],18
Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],19
Results ,[object Object],20
Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],21
Results ,[object Object],[object Object],[object Object],[object Object],Wal-Mart Groups Count Average Std. Dev. Std. Error Waiting time is reasonable 13 4.15 .555 .154 Waiting Time is not reasonable 92 3.39 1.09 .114 T-test df P-value Equal Variances Assumed 2.47 103 .015 It can be inferred that for Wal-Mart store at 95% Confidence Level Customer Satisfaction is associated with waiting time. 22
Results ,[object Object],[object Object],[object Object],[object Object],Target Groups Count Average Std. Dev. Std. Error Waiting time is reasonable 49 4.06 .966 .138 Waiting Time is not reasonable 54 3.70 1.04 .141 T-test df P-value Equal Variances Assumed 1.81 101 .07 It can be inferred that for Target store at 93% Confidence Level Customer Satisfaction is associated with waiting time. 23
Results ,[object Object],[object Object],[object Object],[object Object],Kroger Groups Count Average Std. Dev. Std. Error Waiting time is reasonable 16 4.25 .775 .194 Waiting Time is not reasonable 20 3.60 .94 .210 T-test df P-value Equal Variances Assumed 2.27 34 .03 It can be inferred that for Kroger store at 95% Confidence Level Customer Satisfaction is associated with waiting time. 24
Accepted Hypotheses H1:  There is no positive/negative relationship between technology  processes and customer satisfaction. H01:  There is a positive/negative relationship between technology  processes and customer satisfaction .  Based on this analysis the null hypothesis can be accepted that there is a positive/negative relationship between technology processes and customer satisfaction 25 Wal-Mart Target Kroger H1: Reject Reject Reject H01: Accept Accept Accept
Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],26
Results ,[object Object],[object Object],[object Object],[object Object],Wal-Mart Groups Count Average Std. Dev. Std. Error Waiting time is reasonable 12 3.25 1.22 .351 Waiting Time is not reasonable 93 2.70 1.41 .146 T-test df P-value Equal Variances Assumed 1.29 103 .200 It can be inferred that for Wal-Mart that the relationship customer loyalty and waiting time is not significant. 27
Results ,[object Object],[object Object],[object Object],[object Object],Target Groups Count Average Std. Dev. Std. Error Waiting time is reasonable 49 3.18 1.185 .169 Waiting Time is not reasonable 54 3.11 1.192 .162 T-test df P-value Equal Variances Assumed .310 100 .758 It can be inferred that for Target that the relationship customer loyalty and waiting time is not significant. 28
Results ,[object Object],[object Object],[object Object],[object Object],Kroger Groups Count Average Std. Dev. Std. Error Waiting time is reasonable 17 3.47 1.18 .286 Waiting Time is not reasonable 20 3.00 1.34 .299 T-test df P-value Equal Variances Assumed 1.14 35 .263 It can be inferred that for Kroger that the relationship customer loyalty and waiting time is not significant. 29
Accepted Hypotheses H1a:  There is no positive/negative relationship between technology and  customer loyalty. H01a:  There is a positive/negative relationship between technology and  customer loyalty .  Based  on this analysis the alternate hypothesis can be accepted that there is no positive/negative relationship between technology and customer loyalty 30 Wal-Mart Target Kroger H1a: Accept Accept Accept H01a: Reject Reject Reject
Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],31
Results ,[object Object],[object Object],[object Object],[object Object],Wal-Mart Groups Count Average Std. Dev. Std. Error Prices from most brands lower  63 3.67  .950 .120 than other stores Prices from most brands not  42 3.21 1.180 .182 lower than other stores T-test df P-value Equal Variances Assumed 2.167 103 .033 It can be inferred that for Wal-Mart store at 95% Confidence Level Customer Satisfaction is associated with prices from most brands lower than other stores. 32
Results ,[object Object],[object Object],[object Object],[object Object],Target Groups Count Average Std. Dev. Std. Error Prices from most brands lower  29 4.14  .743 .138 than other stores Prices from most brands not  74 3.77 1.092 .127 lower than other stores T-test df P-value Equal Variances Assumed 1.961 75 .054 It can be inferred that for Target store at 95% Confidence Level Customer Satisfaction is associated with prices from most brands lower than other stores. 33
Results ,[object Object],[object Object],[object Object],[object Object],Kroger Groups Count Average Std. Dev. Std. Error Prices from most brands lower  12 4.33  .651 .188 than other stores Prices from most brands not  24 3.67 .963 .197 lower than other stores T-test df P-value Equal Variances Assumed 2.41 31 .020 It can be inferred that for Kroger store at 95% Confidence Level Customer Satisfaction is associated with prices from most brands lower than other stores. 34
Accepted Hypotheses H2:  There is no positive/negative relationship between marketing spend  and customer satisfaction. . H02:  There is a positive/negative relationship between marketing spend and  customer satisfaction . Based on this analysis the null hypotheses can be accepted that there is a positive/negative relationship between marketing spend and customer satisfaction 35 Wal-Mart Target Kroger H2: Reject Reject Reject H02: Accept Accept Accept
Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],36
Results ,[object Object],[object Object],[object Object],[object Object],Wal-Mart Groups Count Average Std. Dev. Std. Error Prices from most brands lower  85 2.75  1.362 .148 than other stores Prices from most brands not  20 2.80 1.576 .352 lower than other stores T-test df P-value Equal Variances Assumed -.135 103 .893 The results show that for Wal-Mart that the relationship customer loyalty and prices from most brands lower than other stores has no significant relationship. 37
Results ,[object Object],[object Object],[object Object],[object Object],Target Groups Count Average Std. Dev. Std. Error Prices from most brands lower  29 3.48 1.214 .225 than other stores Prices from most brands not  74 3.01 1.153 .134 lower than other stores T-test df P-value Equal Variances Assumed 1.790 49 .080 The results show that for Target that the relationship customer loyalty and prices from most brands lower than other stores has no significant relationship. 38
Results ,[object Object],[object Object],[object Object],[object Object],Kroger Groups Count Average Std. Dev. Std. Error Prices from most brands lower  12 3.58  1.311 .379 than other stores Prices from most brands not  25 3.04 1.241 .248 lower than other stores T-test df P-value Equal Variances Assumed 1.20 21 .244 The results show that for Kroger that the relationship customer loyalty and prices from most brands lower than other stores has no significant relationship. 39
Accepted Hypotheses H2a:  There is no positive/negative relationship between marketing spend  and customer loyalty. . H02a:  There is a positive/negative relationship between marketing spend and  customer loyalty . Based on this analysis the null hypotheses can be accepted that Wal-Mart and Kroger that there are no positive/negative relationship between marketing spend and customer loyalty. Target we accept the alternative hypothesis. 40 Wal-Mart Target Kroger H2a: Accept Reject Accept H02a: Reject Accept Reject
Results ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],41
Results ,[object Object],[object Object],[object Object],[object Object],Wal-Mart Groups Count Average Std. Dev. Std. Error Extensive variety products/services    63 3.67  .950 .120 in the store   Extensive variety products/services    42 3.21 1.180 .182 in the store not reasonable T-test df P-value Equal Variances Assumed 2.167 103 .033 It can be inferred that for Wal-Mart store at 95% Confidence Level Customer Satisfaction is associated with extensive variety products/services in the store. 42
Results ,[object Object],[object Object],[object Object],[object Object],Target Groups Count Average Std. Dev. Std. Error Extensive variety products/services    51 4.10  .944 .132 in the store   Extensive variety products/services    52 3.65 1.046 .145 in the store not reasonable T-test df P-value Equal Variances Assumed 2.264 100 .026 It can be inferred that for Target store at 95% Confidence Level Customer Satisfaction is associated with extensive variety products/services in the store. 43
Results ,[object Object],[object Object],[object Object],[object Object],Kroger Groups Count Average Std. Dev. Std. Error Extensive variety products/services    14 4.29  .914 .244 in the store   Extensive variety products/services    22 3.64 .848 .181 in the store T-test df P-value Equal Variances Assumed 2.137 26 .042 It can be inferred that for Kroger store at 95% Confidence Level Customer Satisfaction is associated with extensive variety products/services in the store. 44
Accepted Hypotheses H3: The efficiency of inventory management systems does not reduce retailer’s cost to improve customer satisfaction. H03: The efficiency of inventory management systems reduce retailer’s cost to improve customer satisfaction. Based on this analysis the null hypotheses can be accepted that the efficiency of inventory management systems reduces retailer’s cost which may improve customer satisfaction 45 Wal-Mart Target Kroger H3: Reject Reject Reject H03: Accept Accept Accept
Accepted Hypotheses ,[object Object],46
Accepted Hypotheses H1:  There is no positive/negative relationship between technology  processes and customer satisfaction. H01:  There is a positive/negative relationship between technology  processes and customer satisfaction .  Based on this analysis the null hypothesis can be accepted that there is a positive/negative relationship between technology processes and customer satisfaction 47 Wal-Mart Target Kroger H1: Reject Reject Reject H01: Accept Accept Accept
Accepted Hypotheses H1a:  There is no positive/negative relationship between technology and  customer loyalty. H01a:  There is a positive/negative relationship between technology and  customer loyalty .  Based on this analysis the alternate hypothesis can be accepted that there is no positive/negative relationship between technology and customer loyalty 48 Wal-Mart Target Kroger H1a: Accept Accept Accept H01a: Reject Reject Reject
Accepted Hypotheses H2:  There is no positive/negative relationship between marketing spend  and customer satisfaction. . H02:  There is a positive/negative relationship between marketing spend and  customer satisfaction . Based  on this analysis the null hypotheses can be accepted that there is a positive/negative relationship between marketing spend and customer satisfaction 49 Wal-Mart Target Kroger H2: Reject Reject Reject H02: Accept Accept Accept
Accepted Hypotheses H2a:  There is no positive/negative relationship between marketing spend  and customer loyalty. . H02a:  There is a positive/negative relationship between marketing spend and  customer loyalty . Based on this analysis the null hypotheses can be accepted that Wal-Mart and Kroger that there are no positive/negative relationship between marketing spend and customer loyalty. Target we accept the alternative hypothesis. 50 Wal-Mart Target Kroger H2a: Accept Reject Accept H02a: Reject Accept Reject
Accepted Hypotheses H3: The efficiency of inventory management systems does not reduce retailer’s cost to improve customer satisfaction. H03: The efficiency of inventory management systems reduce retailer’s cost to improve customer satisfaction. Based on this analysis the null hypotheses can be accepted that the efficiency of inventory management systems reduces retailer’s cost which may improve customer satisfaction 51 Wal-Mart Target Kroger H3: Reject Reject Reject H03: Accept Accept Accept
Conclusions ,[object Object],[object Object],[object Object],52
Limitations/Delimitations ,[object Object],[object Object],53
Recommendations ,[object Object],[object Object],54
Future Study ,[object Object],[object Object],[object Object],55
Questions 56
References ,[object Object],[object Object],[object Object],[object Object],57

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An Evaluative Analysis of Retail Chains of the 21st Century

  • 1. An Evaluative Analysis of Retail Chains in the 21st Century Leon Grove University of Phoenix
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.
  • 12. Relevant/Important Research Betancourt et al., (2007) research results imply that “distribution services are the main mechanism through which retailers can influence customer satisfaction with a transaction at the supermarket level” (p. 311). Bowden (2009) conceptualized that “companies have a continued reliance on marketing to assess customer responses to their products and services in the belief that high levels of satisfaction will lead to increased customer loyalty, intention to purchase, word-of-mouth recommendations, profit, market share, and return on investments” (p. 63). 12
  • 13.
  • 14. Target Population The population for this research study are several leading retail chain for consumer goods in the US. 14
  • 15. Sample The research study surveyed a sample of consumers to gain a better understanding of their overall level of satisfaction and loyalty as well as their satisfaction with specific variables related to their shopping experience at these stores. The total sample for this study were 126 respondents who shopped at Wal-Mart, Target, and Kroger Stores. 15
  • 16.
  • 17.
  • 18.
  • 19.
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25. Accepted Hypotheses H1: There is no positive/negative relationship between technology processes and customer satisfaction. H01: There is a positive/negative relationship between technology processes and customer satisfaction . Based on this analysis the null hypothesis can be accepted that there is a positive/negative relationship between technology processes and customer satisfaction 25 Wal-Mart Target Kroger H1: Reject Reject Reject H01: Accept Accept Accept
  • 26.
  • 27.
  • 28.
  • 29.
  • 30. Accepted Hypotheses H1a: There is no positive/negative relationship between technology and customer loyalty. H01a: There is a positive/negative relationship between technology and customer loyalty . Based on this analysis the alternate hypothesis can be accepted that there is no positive/negative relationship between technology and customer loyalty 30 Wal-Mart Target Kroger H1a: Accept Accept Accept H01a: Reject Reject Reject
  • 31.
  • 32.
  • 33.
  • 34.
  • 35. Accepted Hypotheses H2: There is no positive/negative relationship between marketing spend and customer satisfaction. . H02: There is a positive/negative relationship between marketing spend and customer satisfaction . Based on this analysis the null hypotheses can be accepted that there is a positive/negative relationship between marketing spend and customer satisfaction 35 Wal-Mart Target Kroger H2: Reject Reject Reject H02: Accept Accept Accept
  • 36.
  • 37.
  • 38.
  • 39.
  • 40. Accepted Hypotheses H2a: There is no positive/negative relationship between marketing spend and customer loyalty. . H02a: There is a positive/negative relationship between marketing spend and customer loyalty . Based on this analysis the null hypotheses can be accepted that Wal-Mart and Kroger that there are no positive/negative relationship between marketing spend and customer loyalty. Target we accept the alternative hypothesis. 40 Wal-Mart Target Kroger H2a: Accept Reject Accept H02a: Reject Accept Reject
  • 41.
  • 42.
  • 43.
  • 44.
  • 45. Accepted Hypotheses H3: The efficiency of inventory management systems does not reduce retailer’s cost to improve customer satisfaction. H03: The efficiency of inventory management systems reduce retailer’s cost to improve customer satisfaction. Based on this analysis the null hypotheses can be accepted that the efficiency of inventory management systems reduces retailer’s cost which may improve customer satisfaction 45 Wal-Mart Target Kroger H3: Reject Reject Reject H03: Accept Accept Accept
  • 46.
  • 47. Accepted Hypotheses H1: There is no positive/negative relationship between technology processes and customer satisfaction. H01: There is a positive/negative relationship between technology processes and customer satisfaction . Based on this analysis the null hypothesis can be accepted that there is a positive/negative relationship between technology processes and customer satisfaction 47 Wal-Mart Target Kroger H1: Reject Reject Reject H01: Accept Accept Accept
  • 48. Accepted Hypotheses H1a: There is no positive/negative relationship between technology and customer loyalty. H01a: There is a positive/negative relationship between technology and customer loyalty . Based on this analysis the alternate hypothesis can be accepted that there is no positive/negative relationship between technology and customer loyalty 48 Wal-Mart Target Kroger H1a: Accept Accept Accept H01a: Reject Reject Reject
  • 49. Accepted Hypotheses H2: There is no positive/negative relationship between marketing spend and customer satisfaction. . H02: There is a positive/negative relationship between marketing spend and customer satisfaction . Based on this analysis the null hypotheses can be accepted that there is a positive/negative relationship between marketing spend and customer satisfaction 49 Wal-Mart Target Kroger H2: Reject Reject Reject H02: Accept Accept Accept
  • 50. Accepted Hypotheses H2a: There is no positive/negative relationship between marketing spend and customer loyalty. . H02a: There is a positive/negative relationship between marketing spend and customer loyalty . Based on this analysis the null hypotheses can be accepted that Wal-Mart and Kroger that there are no positive/negative relationship between marketing spend and customer loyalty. Target we accept the alternative hypothesis. 50 Wal-Mart Target Kroger H2a: Accept Reject Accept H02a: Reject Accept Reject
  • 51. Accepted Hypotheses H3: The efficiency of inventory management systems does not reduce retailer’s cost to improve customer satisfaction. H03: The efficiency of inventory management systems reduce retailer’s cost to improve customer satisfaction. Based on this analysis the null hypotheses can be accepted that the efficiency of inventory management systems reduces retailer’s cost which may improve customer satisfaction 51 Wal-Mart Target Kroger H3: Reject Reject Reject H03: Accept Accept Accept
  • 52.
  • 53.
  • 54.
  • 55.
  • 57.

Hinweis der Redaktion

  1. 21 st Century Business Innovation through Technology and Marketing by Leon Grove, MBA