Home / Real Estate / Statistical Analysis of Critical Factors Evaluation of Constructs Hypothesis

Statistical Analysis of Critical Factors Evaluation of Constructs Hypothesis

Bibliographic Review

For the development of the investigative work, a bibliographic review and information gathering carried out directly in the companies of the industrial sector subject to the analysis. Construction Companies in Lahore.

For high quality work for Construction Companies in Lahore.

This constitutes it as follows:

construction companies whose purpose is the construction of houses and buildings;

  • Real estate companies that manage the marketing of land,
  • Homes, and buildings;
  • Material supplier companies.

This as their name indicates, provide the necessary raw materials for construction and real estate companies.

Sampling Of Population Under Study

The population under study made up of 136 companies with three businesses: construction, real estate, and material suppliers, designing relevant survey formats for each business. Applying these in meetings with company executives, according to sampling carried out. The characterization of the sample detailed.

Statistics Evaluation Of Constructs

Three constructs established:

  • Factors for implementing the business model,
  • Organizational impacts of effectively using a business model, and
  • Benefits and improvements of using a business model.

For its evaluation, tests of validity, reliability, Spearman ‘s rho bivariate correlation and logistic regression analysis used, using the SPSS Statistics version 22.0 program.

Analysis Summarized

The results of the validity and reliability analysis summarized. According (2010), one of the validity criteria is the analysis of factor loads, and another through the average variance extracted (AVE). The higher the factorial loadings, the greater the evidence of the one-dimensionality of the construct. In this study, variables associated with a construct have not eliminated, since they exceed the minimum value of 0.6 set by Schlesinger et al. (2014).

Analysis Of Variables

Of course, the Kaiser-Meyer-Olkin (KMO) index was previously quantified, which for each of the factors was greater than 0.50 and the Bartlett Sphericity Test (PEB) must be significant (p < 0.05), so factor analysis can run. With respect to the Average Variance Extracted (AVE), all the values reached exceed the minimum recommended value of 0.5, that is, it can affirm that the variables explain more than fifty percent of the variance of their constructs and therefore there is convergent validity.

Composite Reliability Indices (Cfi)

In addition, the Composite Reliability Indices (CFI) such as Cronbach ‘s Alpha have a high internal consistency in the three constructs analyzed, since both measures exceed the recommended levels of 0.8 and 0.7 respectively, which therefore verifies the consistency internal of the variables considered in the evaluation instrument.

Results

In the member companies of, 57.7% expressed that they are currently making effective use of the business model, 23.1% have designed it but do not use it, and 19.2% of the companies know or they have heard about the business model but have no interest in designing or using it. The top 5 reasons why the business model not used are; Technical and management capabilities (93.3%), Excessive time consumption (91.1%), Revenue and profitability contribution (86.7%), Leader commitment (80%), and Implementation costs (77. 8%). It statistically confirmed that there is an absolute consensus in the perceptions that executives have when prioritizing each reason, since the σ factor i < σ shows (0.56).

Statistical Analysis, Factors

As a result of the statistical analysis, factors, and the relationship between them identified. The symbology that represents them in the three models that developed and justified is Ri.

Where:

R: represents the dependency relationship between two factors.

i: corresponds to an ordinal number, for its differentiation.

The name of each of the factors that are part of the models recorded in the circle.

To meet the objective of the research, the following hypotheses proposed and analyzed:

Hypothesis 1

Implementation Of A Business Model

The implementation of a business model in the companies under study requires a systemic management of 5 critical factors.

Analysis Of Critical Factors

The executives of the companies belonging to determine that the 5 critical factors for a successful implementation of the business model are:

  • Communication of short-term successes (94.7%),
  • Effective leadership (93.3%),
  • External advice (92%),
  • Conflict management and resistance to change (88%), and
  • Resource allocation and training (82.7%).

They all have a prioritization greater than 80%, and it also statistically confirms that there is an absolute consensus in the perceptions that executives have when prioritizing these factors, since the σ factor i < σ shows (0.53).

Evaluation Of Bivariate Correlation

When evaluating the bivariate correlation of Spearman ‘s rho, it is evident that there is positive. And significant correlations between all the factors for the implementation of the business models (p-value factors < 0.01), they have values that oscillate between 0.827 and 0.916, which according (2009) considered acceptable.

Regression Analysis

A logistic regression analysis performed to statistically confirm the model. On the one hand, the goodness-of-fit test applying the procedure allows us to conclude that the model fits correctly (there is significant homogeneity between the observed and expected values), and it also confirms that the dependency relationship between the variables detailed in the model, are direct and positive, the chi -square significance is p-value = 0.000 < 0.05. Furthermore, the independent variables of each branch of the model significantly explain the dependent variable, this corroborates by the explained variance (R 2 of Cox & Snell) del 74 %.

Hypothesis 2

Effective Use Of The Business Model

The effective use of the business model requires that the companies under study implement key decisions aligned with the business model.

Key Decisions Of Business Model

The executives of the member companies to determine that the 5 aligned key decisions that must executed in the companies when effectively using the business model are; Critical resource and process decisions aligned to the business model (96%), Decisions aligned to the value proposition (85.3%), Stakeholder integration according to the business model (85.3%), Decisions aligned to the strategy (84%) and customer relationship decisions aligned with the business model (82.7%). They all have a prioritization higher than 80%, and it also statistically confirms that there is an absolute consensus in the perceptions that executives have when prioritizing these factors, since the σ factor i < σ shows (0.47).

Results

Regarding the companies that make effective use of the business model, 40% are construction companies, 33.3% are real estate agents, and 26.7% are material suppliers.

Conclusion

The information obtained through direct interviews company executives said. In this regard, 57,7 % make effective use of the business model; 23,1 % have designed it but do not use it and 19,2 % of companies they know or have heard, but have no interest in designing or using it. It follows the statistical analysis of the proposed models, the implementation of a business model in companies Chamber of Construction requires a systemic, synergistic, and strategic management.

For more information visit our website: www.ittefaqgroup.pk

 

Check Also

Construction Companies in Lahore

What Does a Construction Company Do?

What Does a Construction Company Do? Construction understood as the technique or art of manufacturing …