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1 – 3 of 3Ujwal Shankar, Vedant Kaul, Vikram Gupta and Neelesh Kumar Mishra
The study aims to address the limited understanding on the role of cognitive mechanisms in workplace ostracism (WO) and negative workplace behaviours (such as counterproductive…
Abstract
Purpose
The study aims to address the limited understanding on the role of cognitive mechanisms in workplace ostracism (WO) and negative workplace behaviours (such as counterproductive workplace behaviours (CWBs)) relation. Although the affective routes of this relationship have been extensively studied, the role of cognitive routes remains largely unexplored.
Design/methodology/approach
A parallel mediation model was developed to study the affective (emotional exhaustion) and the cognitive (felt accountability) mechanisms within the WO and CWBs relation. Regulatory focus theory was used to explain how these routes may influence CWB. Data for the study were gathered cross-sectionally, with common method bias checks. We analysed through Smart PLS for the measurement model and SPSS Hayes PROCESS macros for the structural model.
Findings
Study results corroborated the proposed model on the salience of the newly proposed cognitive pathway in relation to the affective route of the WO–CWB model.
Originality/value
This research underscores a novel cognitive pathway, felt accountability, in the WO–WB relation, expanding upon the predominantly affective-focused extant literature. Furthermore, the study outlines both theoretical and practical implications, along with highlighting limitations and potential directions for future inquiries.
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Keywords
Kamaljit Singh, Jasvinder Kaur and Simmi Vashishtha
The purpose of this study is to conduct a critical review of the operational and financial trends of Uttar Haryana Bijli Vitran Nigam Limited and Dakshin Haryana Bijli Vitran…
Abstract
Purpose
The purpose of this study is to conduct a critical review of the operational and financial trends of Uttar Haryana Bijli Vitran Nigam Limited and Dakshin Haryana Bijli Vitran Nigam Limited. Furthermore, the study aims to determine whether loss-making utilities would benefit from adopting the strategic model employed by Haryana.
Design/methodology/approach
Time series data from 2005–2006 to 2022–2023 is analysed using various significant accounting ratios and operational and financial performance parameters to assess the annual performance over the period.
Findings
The substantial operational and financial performance results of UHBVNL and DHBVNL indicate that from 2017 to 2018 onwards, the power discoms started performing well and are in an improving stage. These results create a strong profile for the utilities, suggesting that their model could be a viable solution for other loss-making power distribution companies.
Practical implications
As a policy recommendation, rather than privatizing the discoms, authorities should study the strategic model of profit-making states like Haryana and implement it in other states without any political interference.
Originality/value
The relevant research questions addressed are: What best practices have Haryana power discoms adopted to enhance financial performance and minimize losses? What lessons can other loss-making state-owned power discoms learn from Haryana? Can Haryana power discoms be a benchmarking model for public and private discoms operating at a loss?
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The need to address energy management as a significant innovation in the smart grid is emphasized to enable a more effective penetration of renewable energy to achieve energy…
Abstract
Purpose
The need to address energy management as a significant innovation in the smart grid is emphasized to enable a more effective penetration of renewable energy to achieve energy savings and CO2 emission reductions. The purpose of this study is to propose a holistic, flexible decision framework for energy management in a smart grid.
Design/methodology/approach
According to the situation actor process−learning action performance (SAP−LAP) model, the variables have been identified after a comprehensive analysis of the literature and consideration of the opinions of domain experts. However, the importance of each SAP−LAP variable is not the same in real practice. Hence, focus on these variables should be given based on their importance, and to measure this importance, an interpretive ranking process based ranking method is used in this study. This helps to allocate proportionate resource to each SAP−LAP variable to make a better decision for the energy management of the smart grid.
Findings
This study ranked five actors based on their priorities for energy management in a smart grid: top management, generator and retailor, consumers, government policy and regulation and technology vendors. Furthermore, actions are also prioritized with respect to performance.
Practical implications
The SAP−LAP model conveys information about the state of energy management in India to actors who may proceed or manage the flow of electricity. Additionally, this study aids in detecting vulnerabilities in the current energy generation, transmission and distribution technique. The synthesis of SAP results in LAP, which assists in recommending improvement actions learned from the current situation, actors and processes.
Originality/value
The SAP−LAP model is a revolutionary approach for examining the current state of energy management in a unified framework that can guide decision-making in conflicting situations, significantly the contradictory nature of India’s renewable energy and power sectors.
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