Coercive Pressure (CP) |
Q1 |
The General Data Protection Law (Lei Geral de Proteção de Dados [LGPD]) requires our company to use data securely. |
Adapted from Liang et al. (2007Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007). Assimilation of enterprise systems: The effect of institutional pressures and the mediating role of top management.MIS Quarterly, 31(1), 59-87. https://doi.org/10.2307/25148781 https://doi.org/10.2307/25148781...
) and from Dubey et al. (2019bDubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019b). Big data and predictive analytics and manufacturing performance: Integrating institutional theory, resource-based view and big data culture.British Journal of Management,30(2), 341-361. http://dx.doi.org/10.1111/1467-8551.12355 http://dx.doi.org/10.1111/1467-8551.1235...
) |
Q2 |
Our company uses a large amount of data due to the needs for competitive conditions. |
Q3 |
Our company uses technological tools for data mining due to the requirements of competitive conditions. |
Q4 |
Our company uses data and technological tools in order to meet the ISO requirements. |
Q5 |
Our company uses data and technological tools under pressure from government agencies. |
Normative Pressure (NP) |
Q6 |
Our company prioritizes technology-savvy employees to meet competitive conditions. |
Adapted from Liang et al. (2007Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007). Assimilation of enterprise systems: The effect of institutional pressures and the mediating role of top management.MIS Quarterly, 31(1), 59-87. https://doi.org/10.2307/25148781 https://doi.org/10.2307/25148781...
) and from Dubey et al. (2019bDubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019b). Big data and predictive analytics and manufacturing performance: Integrating institutional theory, resource-based view and big data culture.British Journal of Management,30(2), 341-361. http://dx.doi.org/10.1111/1467-8551.12355 http://dx.doi.org/10.1111/1467-8551.1235...
) |
Q7 |
Our suppliers use big data and predictive analytics for decision making. |
Q8 |
Our customers use big data and predictive analytics for decision making. |
Q9 |
The extent of promotion of big data and predictive analytics by industry associations influence our company to use big data and predictive analytics for decision making. |
Q10 |
Our company uses a human resources policy in order to attract and retain experts in data management. |
Mimetic Pressure (MP) |
Q11 |
Our competitors who have embraced big data and predictive analytics have benefited greatly. |
Adapted from Liang et al. (2007Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007). Assimilation of enterprise systems: The effect of institutional pressures and the mediating role of top management.MIS Quarterly, 31(1), 59-87. https://doi.org/10.2307/25148781 https://doi.org/10.2307/25148781...
) and from Dubey et al. (2019bDubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019b). Big data and predictive analytics and manufacturing performance: Integrating institutional theory, resource-based view and big data culture.British Journal of Management,30(2), 341-361. http://dx.doi.org/10.1111/1467-8551.12355 http://dx.doi.org/10.1111/1467-8551.1235...
) |
Q12 |
Our competitors who have embraced big data and predictive analytics are favorably perceived by others in the same industry. |
Q13 |
Our competitors who have embraced big data and predictive analytics are favorably perceived for their suppliers. |
Q14 |
Our competitors who have embraced big data and predictive analytics are favorably perceived by their customers. |
Q15 |
Our competitors who have embraced big data and predictive analytics have staff training models that provide positive results. |
Tangible Big Data Resources (TR) |
Q16 |
Our company integrates data from multiple sources into a single system. |
Dubey et al. (2019bDubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019b). Big data and predictive analytics and manufacturing performance: Integrating institutional theory, resource-based view and big data culture.British Journal of Management,30(2), 341-361. http://dx.doi.org/10.1111/1467-8551.12355 http://dx.doi.org/10.1111/1467-8551.1235...
) |
Q17 |
Our company gathers external and internal data to facilitate the analysis of our business environment. |
Q18 |
Our company uses parallel computing approaches (e.g. Hadoop) for data processing. |
Q19 |
Our company uses different data visualization tools. |
Q20 |
Our company exploits cloud-based services for data processing. |
Big Data Human Skills (HS) |
Q21 |
Our company provides big data related training for our employees. |
Dubey et al. (2019bDubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019b). Big data and predictive analytics and manufacturing performance: Integrating institutional theory, resource-based view and big data culture.British Journal of Management,30(2), 341-361. http://dx.doi.org/10.1111/1467-8551.12355 http://dx.doi.org/10.1111/1467-8551.1235...
) |
Q22 |
Our company recruits new employees who have experience in big data and predictive analytics. |
Q23 |
Our big data analytics team has the right skills to get the job done successfully. |
Q24 |
Our big data and predictive analytics managers have a strong understanding of the business. |
Q25 |
Our big data and predictive analytics managers are able to effectively coordinate all intra departments, suppliers and customers. |
Big Data Analytics Capability (BDA) |
Q26 |
Our company easily combines and integrates information from many data sources for use in decision making. |
Adapted from Dubey et al. (2019bDubey, R., Gunasekaran, A., Childe, S. J., Blome, C., & Papadopoulos, T. (2019b). Big data and predictive analytics and manufacturing performance: Integrating institutional theory, resource-based view and big data culture.British Journal of Management,30(2), 341-361. http://dx.doi.org/10.1111/1467-8551.12355 http://dx.doi.org/10.1111/1467-8551.1235...
) |
Q27 |
Our company uses advanced analytical techniques (e.g. simulation, optimization, regression) to improve decision making. |
Q28 |
Our company routinely uses data visualization techniques (e.g., dashboards) to help users or decision makers make sense of complex information. |
Q29 |
Our dashboards give us the ability to break down information to help with root cause analysis and continuous improvement. |