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This study aims to investigate the key elements that influence knowledge sharing practice, primarily the relationship between knowledge sharing practice and organizational performance within the oil and gas (OG) industry.

A sample of 203 responses was collected from the OG industry using an online questionnaire. Data were analyzed using applied structural equation modeling to validate the model and test the hypotheses.

The results indicate that significant relationships exist among the model constructs. These findings provide a better understanding of the factors that influence knowledge sharing practices within the OG industry. These findings prove that knowledge sharing practices positively impact organizational performance through cost reduction, organization growth and intangible benefits.

This study demonstrates that organizations in the OG industry may increase performance by adopting knowledge sharing practices. This study also provides practitioners with important information to enhance knowledge sharing practice within their organizations. For instance, managers should focus on Web 2.0 and other knowledge sharing systems to facilitate both tacit and explicit knowledge sharing. The findings provide empirical evidence that knowledge sharing practices allow organizations to transfer expert knowledge to younger generations of employees. As a result, organizations will be able to capture knowledge and alleviate the negative impact of high staff turnover within the OG industry.

The lack of knowledge sharing practices and the eminent loss of technical knowledge within the (OG) industry, because of retirements and turnover, create a difficult challenge for practitioners. Research on knowledge sharing within the OG industry is limited. Therefore, this study provides an in-depth analysis regarding the critical knowledge sharing practices and valuable information to researcher and practitioners’ knowledge sharing practices within the OG industry.

When spillovers are measured at a national level, the regional benefits may not be identified if they are too small. Very few studies that examined how FDI impacts the regional productivity of the host nations have shown mixed results. The evidence is still scarce and little is known about how the regional penetration of FDI affects the regional productivity performance. The trajectory of regional productivity growth in India has been a subject of scrutiny and intense debates and remains less systematically investigated. The purpose of this paper is to fill this lacuna by investigating the effect of FDI spillover on regional productivity in Indian states.

Using data supplied by the Central Statistical Organization, National Statistical Organization, National Sample Survey Office, and National Accounts Statistics, Government of India at the Indian Ministry of Statistics and Programme Implementation, first, the study employs stochastic frontier model to explore the extent to which FDI spillover contributes to the regional productivity from panel data of 28 Indian states over 1993-2013. Second, the study examines the roles of absorptive ability and technology gap on productivity effect of FDI. Third, by adopting SFA, we measure productivity growth of Indian states in terms of Malmquist productivity index. Fourth, India’s development is imbalanced. To analyze the imbalance due to skewed distribution of FDI among Indian states, Indian states are divided into three regions, and the spillover effects of FDI on TFP in these regions are explored.

The results on the effects of FDI spillover on regional productivity in India using stochastic frontier and panel data from 28 states over 1993-2013 show that R&D, technology import, human capital, and various specifications of FDI have a significant impact on the regional productivity in India except technology gap. Study does not find support for the resource curse hypothesis in Indian states. Productivity growth for India using the Malmquist TFP index based on the stochastic frontier shows positive impact. The TFP growth in the three regions of India is turned to be differently attributed by the FDI spillover.

Little is known about how the regional penetration of FDI affects the regional productivity performance. This research aims to fill this lacuna by investigating the effect of FDI spillover on regional productivity in Indian states which has been a subject of scrutiny and intense debates.