Rotated component matrix
| Component | ||||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | |
| V1 The negotiated rent is affected by how GDP has developed during the past year | 0.832 | |||||
| V2 The negotiated rent is affected by how GDP is expected to develop during the current and next year | 0.879 | |||||
| V3 The negotiated rent is affected by how the regional economy has developed during the past year | 0.749 | 0.338 | ||||
| V4 The negotiated rent is affected by expectations of how the regional economy will develop in the current and next years | 0.826 | |||||
| V5 The negotiated rent is affected by how the industry in which the store is located has developed during the past year | 0.752 | |||||
| V6 The negotiated rent is affected by how the industry in which the store is located is expected to develop during the current and next year | 0.765 | 0.307 | ||||
| V7 The negotiated rent is affected by how e-commerce has developed in the industry you have negotiated rent for during the past year | 0.361 | 0.799 | ||||
| V8 The negotiated rent is affected by how e-commerce in the industry you have negotiated rent for is expected to develop during the current and next year | 0.319 | 0.795 | ||||
| V9 The negotiated rent is affected by the location of the premises | 0.362 | 0.465 | −0.425 | |||
| V10 The negotiated rent is affected by expectations of consumers’ buying behavior | 0.562 | |||||
| V11 The negotiated rent is affected by the OCR for the premises | 0.457 | |||||
| V12 The negotiated rent is affected by the current rent level in the premises | 0.482 | 0.361 | ||||
| V13 The negotiated rent is affected by expectations of the property’s future market value | 0.356 | −0.408 | 0.437 | |||
| V14 The negotiated rent is affected by previous vacancies on the premises | 0.691 | |||||
| V15 The negotiated rent is affected by expectations of future lower/higher vacancies | 0.810 | |||||
| V16The negotiated rent is affected by information and statistics from, for example, Swedish Trade Institute, HUI and the Property Owners | 0.831 | |||||
| V17 The negotiated rent is affected by information about rents via colleagues in the industry | 0.416 | 0.569 | ||||
| V18 The negotiated rent is affected by the proximity to anchor tenants | 0.517 | 0.340 | 0.378 | |||
| V19 The negotiated rent is affected by the tenant mix | 0.521 | 0.481 | ||||
| V20 I have confidence in the lease negotiation process based on laws and regulations | 0.631 | 0.479 | ||||
| V21 I have confidence in how my counterpart as an organization negotiates rents for our common good | 0.867 | |||||
| I have confidence in how my counterpart as an individual negotiates rents for our common good | 0.880 | |||||
| Component | ||||||
|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | 6 | |
| V1 The negotiated rent is affected by how GDP has developed during the past year | 0.832 | |||||
| V2 The negotiated rent is affected by how GDP is expected to develop during the current and next year | 0.879 | |||||
| V3 The negotiated rent is affected by how the regional economy has developed during the past year | 0.749 | 0.338 | ||||
| V4 The negotiated rent is affected by expectations of how the regional economy will develop in the current and next years | 0.826 | |||||
| V5 The negotiated rent is affected by how the industry in which the store is located has developed during the past year | 0.752 | |||||
| V6 The negotiated rent is affected by how the industry in which the store is located is expected to develop during the current and next year | 0.765 | 0.307 | ||||
| V7 The negotiated rent is affected by how e-commerce has developed in the industry you have negotiated rent for during the past year | 0.361 | 0.799 | ||||
| V8 The negotiated rent is affected by how e-commerce in the industry you have negotiated rent for is expected to develop during the current and next year | 0.319 | 0.795 | ||||
| V9 The negotiated rent is affected by the location of the premises | 0.362 | 0.465 | −0.425 | |||
| V10 The negotiated rent is affected by expectations of consumers’ buying behavior | 0.562 | |||||
| V11 The negotiated rent is affected by the OCR for the premises | 0.457 | |||||
| V12 The negotiated rent is affected by the current rent level in the premises | 0.482 | 0.361 | ||||
| V13 The negotiated rent is affected by expectations of the property’s future market value | 0.356 | −0.408 | 0.437 | |||
| V14 The negotiated rent is affected by previous vacancies on the premises | 0.691 | |||||
| V15 The negotiated rent is affected by expectations of future lower/higher vacancies | 0.810 | |||||
| V16The negotiated rent is affected by information and statistics from, for example, Swedish Trade Institute, HUI and the Property Owners | 0.831 | |||||
| V17 The negotiated rent is affected by information about rents via colleagues in the industry | 0.416 | 0.569 | ||||
| V18 The negotiated rent is affected by the proximity to anchor tenants | 0.517 | 0.340 | 0.378 | |||
| V19 The negotiated rent is affected by the tenant mix | 0.521 | 0.481 | ||||
| V20 I have confidence in the lease negotiation process based on laws and regulations | 0.631 | 0.479 | ||||
| V21 I have confidence in how my counterpart as an organization negotiates rents for our common good | 0.867 | |||||
| I have confidence in how my counterpart as an individual negotiates rents for our common good | 0.880 | |||||
Note(s): Extraction Method: Principal Component Analysis. Rotation Method: Varimax with Kaiser Normalization
a. Rotation converged in 9 iterations
Extraction method: PCA; rotation method: Varimax with Kaiser normalization
Source(s): Author’s own creation
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