Objective of data analytics | Organizational reform and management strategy formulation | Human resource development and capacity building | Productivity improvement and efficiency | Improvement of existing products |
Net sales | 0.000 | 0.000 | 0.000 | 0.000 |
(0.000) | (0.000) | (0.000) | (0.000) | |
R & D expenses | 0.000 | 0.000 | 0.000 | 0.000 |
(0.000) | (0.000) | (0.000) | (0.000) | |
Listed dummy | 0.460** | 0.273 | 0.251 | 0.057 |
(0.219) | (0.213) | (0.247) | (0.218) | |
Manufacturing industry dummy | 0.518** | −0.009 | 0.592** | 0.455* |
(0.258) | (0.249) | (0.290) | (0.258) | |
Number of patents held | 0.032 | 0.063 | 0.059 | 0.157 |
(0.115) | (0.110) | (0.140) | (0.113) | |
Person in charge dummy | −0.227 | 0.086 | −0.296 | −0.017 |
(0.224) | (0.214) | (0.248) | (0.222) | |
Formulation of a strategy for data analytics | 0.361** | 0.131 | 0.390** | 0.283* |
(0.169) | (0.162) | (0.183) | (0.168) | |
System deployment | −0.069 | 0.076 | 0.155 | 0.086 |
(0.230) | (0.222) | (0.257) | (0.230) | |
Acquisition of skills and knowledge | 0.420** | 0.394** | −0.213 | 0.176 |
(0.186) | (0.179) | (0.212) | (0.185) | |
Qualitative improvement of data | 0.065 | 0.042 | 0.426* | 0.389* |
(0.206) | (0.201) | (0.232) | (0.209) | |
Observations | 467 | |||
Cox-Snell R2 | 0.099 | 0.102 | 0.118 | 0.129 |
*p < 0.1, **p < 0.05, ***p < 0.01 | ||||
Values in parentheses: SE | ||||
Created by author | ||||
Objective of data analytics | Development of new products | Analysis of industry or market | CRM | Building partnerships with other organizations |
Net sales | 0.000 | 0.000 | 0.000 | 0.000* |
(0.000) | (0.000) | (0.000) | (0.000) | |
R & D expenses | 0.000 | 0.000 | 0.000 | 0.000 |
(0.000) | (0.000) | (0.000) | (0.000) | |
Listed dummy | −0.086 | 0.136 | 0.063 | 0.069 |
(0.217) | (0.215) | (0.222) | (0.230) | |
Manufacturing industry dummy | 0.469* | 0.433* | 0.348 | 0.379 |
(0.256) | (0.254) | (0.260) | (0.265) | |
Number of patents held | 0.153 | 0.138 | −0.085 | 0.071 |
(0.114) | (0.111) | (0.120) | (0.118) | |
Person in charge dummy | 0.025 | −0.081 | 0.072 | 0.122 |
(0.220) | (0.220) | (0.223) | (0.224) | |
Formulation of a strategy for data analytics | 0.243 | 0.432*** | 0.353** | 0.433* |
(0.167) | (0.167) | (0.169) | (0.176) | |
System deployment | 0.208 | 0.290 | 0.000 | 0.257 |
(0.228) | (0.228) | (0.233) | (0.234) | |
Acquisition of skills and knowledge | 0.256 | −0.048 | 0.016 | −0.064 |
(0.182) | (0.183) | (0.187) | (0.186) | |
Qualitative improvement of data | 0.155 | 0.039 | 0.502** | 0.239 |
(0.207) | (0.206) | (0.211) | (0.215) | |
Observations | 467 | |||
Cox-Snell R2 | 0.095 | 0.082 | 0.116 | 0.117 |
*p < 0.1, **p < 0.05, ***p < 0.01 | ||||
Values in parentheses: SE | ||||
Created by author |