Measurement scales
| Constructs | Items | Sources |
|---|---|---|
| ExtDT | Use social networks (for example, Facebook, LinkedIn, Xing, Viadeo, Yammer, etc.) | Galindo-Martín et al. (2019) |
| Having a web | ||
| BDAC | Basic resources | Mikalef et al. (2019) |
| Our “big data analytics” projects are adequately funded | ||
| Our “big data analytics” projects are given enough time to achieve their objectives | ||
| Technology | ||
| We have explored or adopted parallel computing approaches (for example, Hadoop) to big data processing | ||
| We have explored or adopted new forms of databases such as Not Only SQL (NoSQL) | ||
| Managerial skills | ||
| Our BDA managers are able to coordinate big data-related activities in ways that support other functional managers, suppliers, and customers | ||
| Our BDA managers are able to understand and evaluate the output extracted from big data | ||
| Our BDA managers are able to understand where to apply big data | ||
| Technical skills | ||
| Our ‘big data analytics’ staff has the right skills to accomplish their jobs successfully | ||
| Our “big data analytics” staff has suitable education to fulfill their jobs | ||
| Data-driven culture | ||
| We base our decisions on data rather than on instinct | ||
| We are willing to override our own intuition when data contradict our viewpoints | ||
| Organizational learning | ||
| We are able to assimilate relevant knowledge | ||
| We are able to apply relevant knowledge | ||
| BMI | When necessary, we are able to carry out massive internal reconfigurations to enhance our overall value proposition to our customers | Asemokha et al. (2019) |
| We regularly consider innovative opportunities for changing our existing pricing models | ||
| Environmental hostility | The failure rate of firms in my industry is high | Green et al. (2008) |
| Low profit margins are characteristic of my industry |
| Constructs | Items | Sources |
|---|---|---|
| ExtDT | Use social networks (for example, Facebook, LinkedIn, Xing, Viadeo, Yammer, etc.) | |
| Having a web | ||
| BDAC | ||
| Our “big data analytics” projects are adequately funded | ||
| Our “big data analytics” projects are given enough time to achieve their objectives | ||
| We have explored or adopted parallel computing approaches (for example, Hadoop) to big data processing | ||
| We have explored or adopted new forms of databases such as Not Only SQL (NoSQL) | ||
| Our BDA managers are able to coordinate big data-related activities in ways that support other functional managers, suppliers, and customers | ||
| Our BDA managers are able to understand and evaluate the output extracted from big data | ||
| Our BDA managers are able to understand where to apply big data | ||
| Our ‘big data analytics’ staff has the right skills to accomplish their jobs successfully | ||
| Our “big data analytics” staff has suitable education to fulfill their jobs | ||
| We base our decisions on data rather than on instinct | ||
| We are willing to override our own intuition when data contradict our viewpoints | ||
| We are able to assimilate relevant knowledge | ||
| We are able to apply relevant knowledge | ||
| BMI | When necessary, we are able to carry out massive internal reconfigurations to enhance our overall value proposition to our customers | |
| We regularly consider innovative opportunities for changing our existing pricing models | ||
| Environmental hostility | The failure rate of firms in my industry is high | |
| Low profit margins are characteristic of my industry |
Source(s): Authors' own elaboration
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