Operational attributes influencing productivity in Indian opencast mines

Mishra, Padma Charan; Mohanty, Manoj Kumar; Mall, Manmohan

doi:10.1504/ijpqm.2018.091790

Cited by 1 publication

(2 citation statements)

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“…8. Labour productivity: Low productivity is reflected in the balance sheet, which destabilizes organizations (Mishra et al, 2018). Labour productivity is measured as output per employee over a given time period.…”

Section: Innovation and Technology: Mining Has Becomementioning

confidence: 99%

“…Many authors have indicated that new, improved mining equipment can improve the productivity of the industry (Kalra et al, 2018). Labour productivity : Low productivity is reflected in the balance sheet, which destabilizes organizations (Mishra et al, 2018). Labour productivity is measured as output per employee over a given time period.…”

Section: Literature Review and Search For Critical Success Factorsmentioning

confidence: 99%

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The Relationship of Critical Success Factors of the Mineral Industry: A Study on India

Mohanty

Mishra²,

Samantaray

2021

Vision: The Journal of Business Perspective

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The mineral industry environment is an interlinked chain of activities. Identification of major activities of the mineral industry, termed as critical success factors (CSFs), and their relationship structure will be approachable, productive and efficiency-oriented for the industry to manage. The aim of the article is to develop a relationship structure consisting of CSFs influencing the mineral industry. Sixteen such operational influencing CSFs are identified through a broad literature review and subsequent dialogues held with mineral-field experts. The interpretive structural modelling (ISM) approach is applied for analysing CSFs and finding a relationship structure. The study is carried out in Odisha, Chhattisgarh and Jharkhand, mineral-rich states of India. Identification of CSFs and their relationship is carried out in nine phases sequentially to arrive at the latent structure. This is the only study to develop relationships of CSFs for any mineral industry in India. The findings of the study will provide insights on the relationship structure of CSFs of the mineral industry’s operation and be helpful for improvements in addressing operational difficulties for corporates, as well as academics. Among the 16 CSFs identified, ‘training and skill level’, ‘infrastructure’ and ‘political influence’ have the maximum driving force and are the least dependent. The projected model is helpful in understanding the relationship among CSFs and the business operation as a whole.

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Section: Innovation and Technology: Mining Has Becomementioning

confidence: 99%