Background and Purpose: To scale up HR innovation with HR technology, organizations worldwide are putting effort into adopting HR Analytics (HRA) among HR professionals and the actual use of HRA for organizational decision-making. This study aims to explore the behavioral intention to use HRA from the perspective of HR professionals by using UTAUT.
Methodology: Partial least squares structural equation modeling (PLS-SEM) was employed to validate the model based on data collected via a survey from 270 HR professionals in India.
Results: The result revealed a significant positive impact of performance expectancy, effort expectancy, social influence, and facilitating condition on behavioral intention to use HRA. However, organization culture negatively moderates the relationship between HRA adoption intention and adoption behavior. The establishment of organizational culture as a moderator in Indian organizations is unique.
Conclusion: The study extends the explanatory context of UTAUT and provides feasibility for the organizations to guide HR professionals to adopt HRA from multiple paths of intention and usage behavior. Managers, business leaders, and policymakers can use this finding to assist HRA adoption in their organizations.
In this study we aim to assess 16 priority PAHs enlisted by the US Environmental Protection Agency in PM 2.5 and PM 10 for the first time from industrial areas of Odisha State in India. During 2017–2018, bimonthly sampling of PM 10 and PM 2.5 were carried out for 24 hours by respirable dust sampler and PM 2.5 sampler respectively, in the industrial and mining areas of Jharsuguda (n = 2) and Angul (n = 4) during the pre-monsoon, monsoon and post monsoonal seasons. Highest average concentration of ∑ 16 PAHs in PM 2.5 was observed during post monsoon (170 ng/m3) followed by pre-monsoon (17–89 ng/m3; avg, 48 ng/m3) and monsoonal season (2–40 ng/m3 ; avg, 16 ng/m 3 ), respectively. Similar trend of ∑ 16 PAHs levels in PM 10 was seen with higher levels during post monsoon (116–471 ng/m3; avg, 286 ng/m3) followed by pre-monsoon (avg, 81 ng/m3) and monsoon seasons (27 ng/m3. Diagnostic ratios BaA/(BaA + Chry), Phe/(Phe + Ant) and Flt/(Flt + Pyr) and principal component analysis (PCA) suggest diesel, gasoline and coal combustion are the major contributors for atmospheric PAHs pollution in Odisha. Back trajectories analysis revealed that PAHs concentration was affected majorly by air masses originating from the northwest direction traversing through central India. Toxic equivalents (TEQs) ranged between 0.24 to 94.13 ng TEQ/m3. In our study incremental lifetime cancer risk (ILCR) ranged between 10 − 5 and 10 − 3 representing potential cancer risk.
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