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Table 7 OLS Regression for PO frequency on Newcastle University staff

From: Exploring the relationship between urban freight demand and the purchasing behaviour of a University

Variable Factors

Std. coefficient (β)

t-test

Sig. (p-value)

Collinearity statistics

    

1/VIF

VIF

(Constant)

 

8.801

.000

  

Administrative and professional (e.g. Library, Clerical, Administrative, Managerial)

.210

4.038

.000

.494

2.024

Specialist, Technical and Professional (e.g. Technician)

.245

5.637

.000

.704

1.421

Operational Services (e.g. Ancillary, Cleaning and Catering, Porters, Farm Workers, Ground Staff, Maintenance, Security)

.158

4.114

.000

.909

1.100

Purchases made using a University purchasing card

.224

5.590

.000

.830

1.204

PO made collectively once or twice a week

.124

3.215

.001

.902

1.109

PO made with irregular repeating pattern

−.235

−5.723

.000

.795

1.259

Type of goods: chemicals (hazardous or otherwise)

.285

5.543

.000

.504

1.986

Type of goods: bulk gasses, oils, fuels, etc.

−.092

−1.905

.058

.575

1.740

Type of goods: furniture

.070

1.662

.097

.752

1.330

‘Next day’ expected delivery

.075

1.856

.064

.818

1.222

‘As soon as possible’ expected delivery

.102

2.538

.012

.832

1.201

Location: King’s Gate (Main Central Administration office of the University)

−.145

−3.395

.001

.735

1.360

Female

.068

1.707

.089

.847

1.180

Private purchased delivered to workplace

−.022

−.565

.572

.909

1.100

Composite attitudes towards private purchasing behaviour

−.024

−.620

.536

.892

1.121

  1. N = 424, R2 = .456, Adjusted R2 = .436 (significant with p-value of .000).
  2. Dependent variable: Purchase Order (PO) frequency.