Institute of Management Technology

AI driven workflow scheduling in dynamic edge environments using Jacobi identity based deep neural network and multi criteria optimization

Edge-cloud computing infrastructures are becoming a mandate in almost all the possible application areas due to exponential rise in the computational demands over the network. Therefore, adaptive load balancing and workload scheduling is critical in edge-cloud computing for maint...

Antiepileptic Potential of Medicinal Plants: A Comprehensive Review on Mechanisms, Experimental Seizure Models of Plant-Derived Anticonvulsant Compounds

ABSTRACTEpilepsy is a persistent, non-infectious neurological condition impacting over 50 million individuals globally, markedby a recurring propensity for spontaneous seizures resulting from aberrant, excessive, or synchronised neuralactivity. Notwithstanding the use of syntheti...

How Is AI Transforming the Task Characteristics and the Experience of Vulnerable and Minority Employees in the Hospitality Sector?

ABSTRACT Drawing on Task–Technology Fit (TTF) theory, this study examines how different levels of Artificial Intelligence (AI) reshape service tasks and employee experiences among vulnerable and minority employees in the hospitality industry. A three‐phase mixed‐method design was...

TO CREATING THE AWARENESS IN THE PATIENT USING THE PMOS MEDICATION IN THE REGION OF DEHRADUN

AbstractPolycystic Ovary Syndrome (PCOS), also referred to in some literature as PolyendocrineMetabolic Ovarian Syndrome (PMOS), is one of the most common endocrine disordersaffecting women of reproductive age and is associated with reproductive, metabolic, andpsychological compl...

EXPLORING THE ANTIFUNGAL POTENTIAL OF MEDICINAL PLANTS: A REVIEW

ABSTRACTThe problem of fungal infections is becoming more significant in global health because of theirincreased prevalence, high morbidity, development of resistance to antifungals, fewer treatmentalternatives, and presence in immunocompromised patients. This review is focused o...

Short-term load forecasting using artificial neural network and linear regression across multi-city smart grid dataset

Abstract Smart grid activities demand a remedy to stability and economic problems and Short-term load forecasting (STLF) can provide some of the basic methods to deal with them. The traditional forecasting models that are found in literature flounder about localised and region sp...

EXPLORING THE ANTIFUNGAL POTENTIAL OF MEDICINAL PLANTS: A REVIEW

ABSTRACTThe problem of fungal infections is becoming more significant in global health because of theirincreased prevalence, high morbidity, development of resistance to antifungals, fewer treatmentalternatives, and presence in immunocompromised patients. This review is focused o...

Mapping mindfulness: a systematic review and a framework for developing organizational mindfulness capability

Purpose This study aims to synthesize workplace mindfulness literature, identify research gaps, and propose a future agenda. Design/methodology/approach A systematic review of 53 peer-reviewed articles was conducted to examine the antecedents, mechanisms and outcomes of mindfulne...

From attraction to retention: a qualitative inquiry into AI influencer stickiness

Purpose The purpose of this paper is to investigate the psychological and behavioral factors that explain why consumers remain engaged with artificial intelligence (AI) influencers. The study specifically explores the construct of “stickiness” – the ability of AI influencers to a...

The effect of regulatory tightening on the information content of insider trades

Regulatory tightening aims to curb opportunistic insider trading by reducing informational advantages. However, the effectiveness of such reforms, particularly in emerging markets with historically weak enforcement, remains debated. This study investigates the effect of regulator...

Distributed knowledge execution and entrepreneurial adaptability: extending knowledge management into autonomous digital ecosystems

Purpose This study aims to examine how distributed intelligence capabilities function as knowledge management mechanisms that support entrepreneurial innovation and strategic scalability in distributed digital ecosystems. Specifically, the study investigates how augmented intelli...