Global Journal of Management and Business Research, E: Marketing, Volume 22 Issue 2

xi. Regression analysis summary An overall look at the regression analysis concludes that defining the customer-centric strategy at a specific organization is highly dependent on the culture, structure, and leadership. The technology used is also a factor upon which this strategy is dependent. The regression results show that customer tracking, loyalty programs, and economic tools exist in organizations adopting customer-centricity. The results also highlight the importance of the HR system and recruitment policy in being customer-centricity supportive factors. Moreover, results show that the tracking of customers, the profound understanding of customers' needs, the company's top executives' commitment to their customers' experiences, and the customers' involvement in the products and services design are the most significant determinants upon which a strategy for organization customer-centric. d) Hypotheses Validation After the discussion of results obtained from the analysis of the primary data source, i.e., the survey questionnaire, and the findings from the secondary data source, i.e., relevant literature, the validation of hypotheses are as follows: H1: Organizational structure affects the effectiveness of the customer-centric strategy The result from the regression model involving the variable "Functional Teams Related to Direct Customer Relationships are Integrated (J)" related to the structure was statistically significant. Therefore, hypothesis H1 is accepted. Different researchers like Shah and Staelin (2006), Gebauer & Kowalkowski (2012), Reesink (2014), and Yohn (2018) supported the abovementioned result and stressed the importance of structure in the effectiveness of customer-centric strategies. Researchers assert that an ideal customer- An Assessment of Customer-Centricity Success Factors: Context of the Lebanese Market 22 Global Journal of Management and Business Research Volume XXII Issue II Version I Year 2022 ( )E © 2022 Global Journals Figure 4: Normal P-Plot Histogram of Std. Residual Figure 5: Regression Model Clearly, the equation shows that 15 explanatory variables affect the dependent variable: "Customer- centric strategy communicated across all departments." However, the standardized Beta values representing the strength of the relationship between the dependent and the independent variables vary from weak to moderate. One must concentrate on the highest Beta values. Moreover, all the explanatory variables are positive. Increasing any of these variables by one standard deviation, the dependent variable will increase by the corresponding Beta value of a standard deviation. i.e., for every (1) standard deviation increase in X "The Respondent's Organization Tracking of Customers," the dependent variable will increase by 0.494 standard deviations. The same approach applies to all variables. Nevertheless, the highest impacts, but not ignoring other variables, are actually with the following explanatory variables: • The respondent's organization tracking of customers (X) with Standardized Beta = .494 • A profound understanding of customers’ needs informs our strategic direction (B) with Standardized Beta = .358 • Our company's top executives demonstrate their commitment to our customer experience strategy (W) with Standardized Beta = .264 • Customers of the organization are involved in the design of their products and services (I) with Standardized Beta = .220 • Our HR systems support the customer experience (D) with Standardized Beta = .183 • We hire for attitude and fit with our culture (E) with Standardized Beta = .186