RFID technology

The derivation of the hypothesis follows the examination of companies that have already adopted the RFID technology in their daily operations against those that have ignored the technology. The examination of this technology has followed assertions that these companies able to record improved performances in their productivity as a result of its adoption. Examining these businesses has lead to the discovery that the organizations able to share precise inventory data as well as their network of supply chain product flow between the suppliers and their retailers. The additional benefits recorded from the research as a result of adopting the RFID technology entails the reduction of scanning errors since they rely on the wireless automated scanning. The cutting of the costs of the manpower required to undertake these scans additionally presents the other advantage that improves their productivity. The technology has led to the reduction of the stock outs thus improving the degree of customer satisfaction and the consequent customer loyalty and improved revenues for the businesses.

The comparison of these companies employing the RFID technology against those that were not using the technology offers an opportunity to test for the relevance of the technology. Thus, the research focuses on using the performance of companies using RFID against companies in the same industry not using the technology. The research focuses on determining whether the performance is different for those adopting the technology against those ignoring the RFID technology.

Thus, the research hypotheses include:

Ho: The adoption of RFID in organization’s supply chain improves the does not affect the effectiveness of the communication in the organization.

Ha: Adopting RFID in the organization’s supply chain has a positive impact on the effectiveness of communication.

Ho: Adoption of RFID in the organization’s supply chain has no effect on the operations of its warehouse.

Ha: Adoption of RFID in the organization’s supply chain improves the efficiency of the organization’s operations.

Ho: Adoption of RFID technology in an organization's warehouse has no effect on its profitability.

Ha: Adoption of RFID technology in an organizations’ warehouse improves its profitability.

Ho: Adoption of RFID technology in the organization’s warehouse does have an impact on its customer relationship.

Ho: Adoption of RFID technology in the organization’s warehouse has a positive impact on the customer relationship management.

Question Two

The comparisons using one-way ANOVA will encompass the attempt to understand the difference in the performance amongst the companies following the adoption of the RFID technology. The test will involve the examination of the differences in three points of the adoption of the technology. It will include assessing the performance immediately before the adoption, three months after the adoption as well as six months after the adoption of the RFID technology in their production processes.

In this case, the dependent variable is going to be the performance of the companies while by independent variable is going to be the RFID adoption. The variables that are going to be under the analysis are going to be relating to the efficacy as well as well as the efficiency of the warehouse management. The variables in the study are going to be the sufficient warehouse operations, the effectiveness of communication in the organization, profitability as well as customers’ relationship with the organization. The overall objective of the analyzes relates to how the RFID technology adoption in business affects the operations. In analyzing the data using SPSS, the groups are separated by creating the group called adoption encompassing the independent variable. For the companies that adopted RFID, they were given vale of "1" while those that did not receive value "2". The duration in the comparison was given the value of name Time encompassing the dependent variable.

In the analysis of the above variables in the ANOVA and the consequent Scheffe test, they analysis will follow the groups of before the adoption, three and six months following the adoption. Thus in every analysis there will be three groups.

The descriptive table will be providing the resource descriptive statistics encompassing the mean, standard deviation as well as the 95% confidence intervals relating to the dependent variable Time for every group. These groups will encompass the just before, three months and six months as well as after combining all the groups (total).

The ANOVAs table, on the other hand, indicates the ANOVAs analysis output and if we have a statistically significant difference between the group means. On the occasion significance level is less than 0.05, and then there is a statistically significant difference in the mean of the duration taken to adopt the RFID technology and between the diverse companies. On the other hand is the significance level is more than 0.05, and then there is not statistical significance in the mean of the time in adopting the RFID technology between the diverse companies.

The Analysis Procedure

In the analysis of the variables, the procedures I used include clicking on the analysis function of the SPSS software, compare means and One-Way Anova concurrently. The dependent variables placed in the dependent list with the independent variable group going to the factory box. I then clicked the post hoc button, and when presented with the multiple comparisons dialog box, I clicked the Scheffe checkbox, following with the continue button. In the one-way ANOVA checkbox, I clicked the descriptive button in the statistics section and consequently clicked the "continue" and ok box to execute.

For the ANOVA test, the software is going to generate the ANOVA output table to demonstrate whether a statistically significant difference exists between the various group means tested. In the event the significance level in these groups is below 0.05, we will conclude that there is a statistically significant variation and thus rejected the null hypotheses and accept the alternative hypothesis. Conversely, if the significance level of these groups is greater than 0.05, we will neither reject the null; hypothesis nor accept the alternative hypothesis.

For the multiple comparisons Scheffe output, the results help us in identifying the groups differing from each other. The interpretation of the results will follow that significance difference exists when the p-value of the comparisons is less than 0.05. On the other hand if the p-value is more than 0.05, then we will be right to conclude that no difference exists between the groups.

Sherry Roberts is the author of this paper. A senior editor at Melda Research in professional writing services if you need a similar paper you can place your order for a custom research paper from writing services online.