Organizational Learning, Predictive Analysis and Emerging Technologies - Research Paper Example

186). Secondly, this has awakened the organizations to the significance of organizational learning when managed in correlation to the objective of benefitting from the new technologies (Gilley & Maycunich, 2000, p. 186). Organizational learning has both social and technical dimensions, when delved on in the light of the recent technological innovations and developments. As per a technical approach towards organizational learning, learning is primarily about a seamless and applied storage, analysis, interpretation and response to the information and data existing within and outside the organizations (Gilley & Maycunich, 2000).

These data and information may be both quantitative and qualitative. On the contrary a social approach towards organizational learning delves on the varied human aspects of predictive analysis like the personnel mindset and the technology related literacy at the disposal of employees (Gilley & Maycunich, 2000). In that context, technological literacy and a more adaptive approach towards facilitating a technology driven predictive analysis is something that can either be acquired through the regular social interactions within organizations like a joint effort aimed at making sense of some data and information, attempts to observe and emulate employees and colleagues who are technically skilled, situated practices, etc.

Yet, everything could not be left to informal modes of gaining the right attitude and skills, and organizations are also required to pursue a more proactive approach. When it comes to implementing new technologies to facilitate a more accurate predictive analysis in organizations, Argyris (1977) holds that though inculcating a technological mindset is. The researcher states that the dawn of the 21st century represents a marked shift in the way organizations work and operate in the sense that many mundane aspects of the organizational working could conveniently be automated in the light of the varied emerging technologies.

These emerging technologies not only pose new challenges within the domain of organizational learning, but also facilitate a more accurate predictive analysis, thereby adding to organizational productivity and profitability. In the current context, with new technologies coming to fore, the organizations simply cannot afford to ignore pursuing a theoretical approach towards organizational learning, when they promise a more factual and pragmatic possibilities in the area of predictive analysis.

A lackluster attitude towards the very nature of learning in an organizational context portends degradation and loss, at least in a relative context. With the emergence of varied IT based technologies, which facilitate a more realistic and accurate conduct of predictive analysis, learning could be considered to be both a process as well as a product. In the domain or organizational learning, the researcher suggests that two big challenges before organizations are to align the employee mindset in consonance with the emerging technologies and to impart the required technical literacy.

In conclusion, the benefits accrued from this will result in multiple gains facilitated by more accurate, prompt and reliable predictive analysis.