Literature Review on the role of IMC in building and maintaining brand Article

Literature Review on the role of IMC in building and maintaining brand equity - Article Example Globalization has increased the level of competition in the domestic as well as international markets. Though this has improved competition and the quality of products, it has made consumers think twice before investing in a product. This means that consumers have become vary of their needs and selection. Unless a company is able to bring a customer to it, they will end up being sidelined for better-known brands. Pickton and Hartley observed that it was difficult to conceptualize the influences that organizations needed to achieve integration. The many levels and dimensions of integration posed individual and collective difficulties. So complex and laborious was the practice, that to implement IMC, it required the dedicated and wholesome involvement of the whole organization, right from its chief executive to their agents and vendors. Considering the complexity of such a study, this paper attempts to elicit the role of IMC in organizations; their market orientation and brand orientat ion, for they both have an important role in the implementation of IMC. This paper will strive to delve on the finer aspects of the strategic component of IMC; taking into account the cultural and learning requirements of positioning brands, and how they can build a competitive edge through brand equity. In order to understand the concept of IMC in the real-life scenario, this paper takes a look at some of the trend-setters in the highly competitive world of fashion.

Statistic analysis of an exporting apple company Essay

Statistic analysis of an exporting apple company - Essay Example Statistic analysis of an exporting apple company This is statistically significant for this indicates that in promoting slow moving dog products, these items will be placed on the waist level shelves. This also applies for goods that need to be sold immediately like old stocks and products approaching expiration dates. Through this, inventory and the First-In-First-Out products will be controlled. An apple exporting company is currently retrenching and would like to reduce the number of packers in one of their processing plants from 3 packers to only 2. In finding out the most efficient packers, they conducted a 8 hour study for 6 days based on their speed in packing apples. Below are six study results for the three packers indicating the number of boxes packed in 8 hours. Which packer is best? An industrial psychologist is interested in brainstorming among groups as a means of solving complex problems and she decides to manipulate two types of problem â€Å"sets† or attitudes. She selects 6 groups of four people to participate in the experiment. Three of the groups are given problem â€Å"set† 1 and three of the groups are given problem â€Å"set† 2. In addition, however, two of the participants in each group are males and two are females. She measures number of problems solved by each individual after group discussions at the end of each of three sessions (max = 30). Examine all interesting effects, present important data, and consider problems in the analysis. Total Problem "set" 1 G11 Males S1 8 S2 7 Females S3 27 S4 24 G12 Males S5 20 S6 24 Females S7 27 S8 28 G13 Males S9 14 S10 18 Females S11 27 S12 26 Problem "set" 2 G24 Males S13 26 S14 30 Females S15 4 S16 8 G25 Males S17 26 S18 29 Females S19 15 S20 18 G26 Males S21 28 S22 28 Females S23 8 S24 12 1) sH0 : AProblemSet 1 = 2 G/A 1 = 2 = 3 = 4 = 5 = 6 BGender M = F (A)B 1M = 2M = 1F = 2F sHa : Not sH0 2) Between Subjects Hierarchical S2(G3B2/A2) 2-tailed (A): (1,4) = 7.71 (G/A): (4,12) = 3.26 (B): (1,4) = 7.71 (AB): (1,4) = 7.71 (GB/A): (4,12) = 3.26 3) = .05 4) Final Source Table: Source DF Sum of Squares Mean Square F-Value F-crit A Problem Set 1 13.50 13.50 .29 7.71 G/A Groups 4 187.83 46.95 10.25* 3.26 B Gender 1 48.17 48.17 1.36 7.71 AB Problem Set*Gender 1 1204.17 1204.17 34.12* 7.71 (GB/A) 4 141.17 35.29 7.70* 3.26 S(GB/A) 12 55.00 4.58 T 23 1649.83 A Problem Set, B Gender, and AB Problem Set*Gender F values are different from SAS output. Why 1 - First, have to test to determine proper error term to use; Fcrit (4, 12) = 3.26 , = .05 G/A / S(GB/A) = 46.96 / 4.58 = 10.25* so must use G/A to test A. F ratio for A = 13.50 / 46.95 = .29, NS Fcrit (4, 12) = 3.26 , = .05 GB/A / S(GB/A) = 35.29 / 4.58 = 7.71* so must use GB/A to test B and AB F ratio for B = 48.17 / 35.29 = 1.36, NS F ratio for AB = 1204.17 / 35.29 = 7.70* significant! (Didn't really need to do this because the group error terms were significant at .05 and cannot be pooled) Subsequent Tests: LSDAB = 2.78 [2(35.29) / 6] = 9.53 M Female-P1 - M Female-P2 = 26.50 - 10.83 = 15.67* M Male-P1 - M Male-P2 = 15.17 - 27.83 = -12.66* 5) The data indicate there was no significant main effect for Problem Set, F(1,4) = 0.29, MSe = 46.95, or for Gender, F(1,4) = 1.36,