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Muhammad Khan

Researcher at Hazara University

Publications -  59
Citations -  613

Muhammad Khan is an academic researcher from Hazara University. The author has contributed to research in topics: Medicine & Fodder. The author has an hindex of 10, co-authored 54 publications receiving 353 citations. Previous affiliations of Muhammad Khan include Universiti Teknologi Malaysia & Aligarh Muslim University.

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Asymmetric impact of energy consumption and economic growth on ecological footprint: Using asymmetric and nonlinear approach.

TL;DR: Current energy portfolios should be diversified by either enhancing or incorporating renewable energy technologies, and this is indispensable to support the existing successful strides of environmental policies, as policymakers must buttress their commitments to reduce emissions by sustaining and decarbonizing the trajectory of economic growth.
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Person–job fit, person–organization fit and innovative work behavior: The mediating role of innovation trust

TL;DR: In this paper, the authors examined the effects of two person-environment fit perspectives (person-job fit and person-organization fit) on innovative work behavior through innovation trust and found that innovative work behaviour was positively related to an employee's job performance.
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Post-COVID 19 Tourism: Will Digital Tourism Replace Mass Tourism?

TL;DR: In this article, the authors conducted a systematic literature review of past research on the development of digital tourism from 2016 to 2020 and found that virtual tourism is a practical and valuable option for mass tourism during the COVID-19 outbreak and can replace mass tourism after the pandemic.
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Leadership styles in relation to employees' trust and organizational change capacity: evidence from non-profit organizations

TL;DR: In this article, the role of leadership styles (transformational, transactional, and laissez-faire) and employees' trust toward organizational change capacity (OCC) was examined.
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Are we ready for the new fatal Coronavirus: scenario of Pakistan?

TL;DR: This research presents a novel and scalable approaches that can be applied to the rapidly changing environment and provide real-time information about the immune responses of animals to infectious diseases.