Arun Kumar Deshmukh

ORCID: 0000-0003-1839-1364
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About
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Research Areas
  • Quality and Supply Management
  • Supply Chain and Inventory Management
  • Supply Chain Resilience and Risk Management
  • Electric Vehicles and Infrastructure
  • Collaboration in agile enterprises
  • Outsourcing and Supply Chain Management
  • Energy, Environment, and Transportation Policies
  • Sharing Economy and Platforms
  • Digital Marketing and Social Media
  • Technology Adoption and User Behaviour
  • Customer Service Quality and Loyalty
  • Agricultural Economics and Practices
  • Transportation and Mobility Innovations
  • ERP Systems Implementation and Impact
  • Green IT and Sustainability
  • Agricultural Innovations and Practices
  • Blockchain Technology Applications and Security
  • Innovation and Socioeconomic Development
  • Environmental Education and Sustainability
  • FinTech, Crowdfunding, Digital Finance
  • Food Waste Reduction and Sustainability
  • Advanced Malware Detection Techniques
  • Innovation Diffusion and Forecasting
  • Environmental Sustainability in Business
  • Corporate Social Responsibility Reporting

Banaras Hindu University
2013-2024

Jaypee Institute of Information Technology
2019

IMS Unison University
2017

University of Massachusetts Boston
2003

Purpose The study aims to investigate the consumers' adoption of battery electric vehicles (BEVs) using socio-cognitive perceptions and socio-demographic moderators in an emerging sustainable mobility market. Design/methodology/approach conceptual model is analyzed via path analysis online survey data collected from Indian respondents. Findings findings substantiate a greater extent linkage social-cognitive perceptions-attitude-intention with moderation variables mediation attitude towards...

10.1108/mip-11-2021-0406 article EN Marketing Intelligence & Planning 2022-05-25

Purpose The study aims to present demand chain management (DCM) modeling of Indian apparel retailers. This will result in a structured model presenting contextual interrelationship among DCM variables so that retailers can proactively manage their chain. Design/methodology/approach research follows an exploratory design. It initially involves identification and analysis influential factors the implementation practices through review literature. Then, these were analyzed using total...

10.1108/jm2-12-2015-0101 article EN Journal of Modelling in Management 2017-07-03

Purpose In a volatile agricultural postharvest market, producers require more personalized information about market dynamics for informed decisions on the marketed surplus. However, this adaptive strategy fails to benefit them if selection of computational price predictive model disseminate outlook is not efficient, and associated risk perishability, storage cost factor are assumed against seemingly favourable behaviour. Consequently, decision whether store or sell at time crop harvest...

10.1108/bij-12-2021-0780 article EN Benchmarking An International Journal 2022-11-25

Small and marginal farmers (SMFs) in developing countries, perennially struggle with low marketable surplus, inadequate storage facilities, poor market access logistical constraints that turn leave them distressed sales of their produce to exploitative middlemen the agricultural supply chain. Addressing such pressing concerns, present study aims at proposing a market-facilitating demand-centric chain model where income is directly linked risk-adjusted actual movement. The price-sensitive...

10.1177/09722629231178649 article EN Vision The Journal of Business Perspective 2023-06-26

10.1057/s41272-019-00195-5 article EN Journal of Revenue and Pricing Management 2019-04-23

This paper makes several critical points related to the intrinsic nature of relationship between information and performance in supply chains. It highlights co-dependence supply-chain management decisions, stresses impact this on performance, and, raises research issues that are fundamental a better understanding both.

10.1109/wac.2002.1049443 article EN 2003-06-26

The study aims at determining the core variables of demand chain management (DCM) which should ideally be focus senior in order to accomplish higher organizational performance through improved supply practices. research follows development survey based on descriptive-analytical design. It initially involves identification and analysis influential factors implementation DCM Then these are organized into interpretive structural questionnaire given ten experts-five academics five retail...

10.21863/jscms/2016.5.2.027 article EN Journal of Supply Chain Management Systems 2016-01-01
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