The impact of role variables on IS personnel work attitudes and intentions
This study examines the antecedents of job satisfaction, commitment, and turnover intentions for 229 information systems (IS) personnel employed within several industries. The antecedents studied include boundary spanning, role ambiguity, and role conflict. A model of these variables was built and tested using path analysis. Role ambiguity was found to be the most dysfunctional variable for IS personnel, accounting for 10.3%, 20.2% and 22.2% of the variance in turnover intentions, commitment, and job satisfaction. This information is used to make recommendations to IS management. Finally, recommendations and directions are suggested regarding future research.
Abstract This study contributes to the literature on socially responsible investing by examining the diversification potential of commodities, specifically oil, gold and clean energy together with the Brazilian Corporate Sustainability Index (ISE). Multivariate GARCH models are used to model volatility spillovers and conditional correlation in pairs of stocks containing ISE. Specifically, A-BEKK and A-DCC models with spillovers are estimated. The models’ results are used to compute and analyze the optimal weights and hedge ratios for stock portfolio holdings. The greatest benefit from diversification is obtained through the acquisition of gold and then OVX.