Now showing items 1-20 of 365

    • An adaptive multi-objective optimal forecast combination and its application for predicting intermittent demand 

      Waychal, Nachiketas; Laha, Arnab Kumar; Sinha, Ankur (Taylor and Francis, 2023-11-07)
      While time series forecasting models are generally trained by optimising certain forms of error, the end-user’s forecasting needs in a multi-objective setting can be broader, and often mutually conflicting. A production ...
    • Impact of glasgow climate pact and updated nationally determined contribution on mercury mitigation abiding by the minamata convention in IndiaArticle link copied! 

      Vishwanathan, Saritha Sudharmma; Hanaoka, Tatsuya; Garg, Amit (ACS Publications, 2023-10-20)
      India is one of the largest emitters of atmospheric anthropogenic mercury (Hg) and the third-largest emitter of greenhouse gases in the world. In the past decade, India has been committed to the Minamata Convention (2017) ...
    • Assessing enhanced NDC and climate compatible development pathways for India 

      Vishwanathan, Saritha Sudharmma; Fragkos, Panagiotis; Fragkiadakis, Konstantinos; Garg, Amit (Elsevier, 2023-08-03)
      India has indicated a strong commitment towards mitigating climate change not only through its Nationally Determined Contribution (NDC) but also reiterating on raising its climate ambitions and committing towards Net Zero ...
    • What shall I learn? two-stage decision making under social influence on corporate e-learning platforms 

      Song, Yiping Amy; Zhang, Lingling; Ma, Liye; Bose, Indranil (Elsevier, 2023-06-13)
      E-learning platforms have increasingly been adopted by corporate employees in the workplace. On these platforms, users typically follow a two-stage decision-making process: they first choose which content to learn and then ...
    • Did the COVID-19 pandemic propel usage of AI in pharmaceutical innovation? new evidence from patenting data 

      Rathi, Sawan; Majumdar, Adrija; Chatterjee, Chirantan (Elsevier, 2023-11-07)
      It is now much discussed that Artificial Intelligence (AI) as a General-Purpose Technology (GPT) can resolve the efficiency problems of industries, including in pharmaceutical markets where productivity challenges continue ...
    • India's progressive environmental case law: a worthy roadmap for global climate change litigation 

      Mohan, M. P. Ram; Kini, Els Reynaers; Prasad, Sriram (2023-03-24)
      This Article explores how the long-standing tradition of common law countries, such as India, which have long acknowledged the fundamental right to a healthy and pollution-free life, can assist judges in other jurisdictions ...
    • Treatment of intellectual property license in bankruptcy 

      Mohan, M. P. Ram; Gupta, Aditya (SSRN, 2023-08-25)
      A bankrupt debtor’s ability to escape unprofitable contracts, enshrined in Section 365 of the American Bankruptcy Code, is considered central to a successful reorganisation within Chapter 11. The ambit of this power and ...
    • A decentralized approach to model national and global food and land use systems 

      Mosnier, Aline; Javalera-Rincon, Valeria; Jones, Sarah K; Andrew, Robbie; Bai, Zhaohai; Baker, Justin; Basnet, Shyam; Boer, Rizaldi; Chavarro, John; Costa, Wanderson; DeClerck, Fabrice A; Diaz, Maria; Douzal, Clara; Fan, Andrew Chiah Howe; Daloz, Anne Sophie; Fetzer, Ingo; Frank, Federico; Gonzalez-Abraham, Charlotte E; Habiburrachman A.H.F.; Immanuel, Gito; Harrison, Paula A; Imanirareba, Dative; Jha, Chandan; Jin, Xinpeng; Ghosh, Ranjan Kumar; Leach, Nicholas; Lehtonen, Heikki; Lotze-Campen, Hermann; Low, Wai Sern; Marcos-Martinez, Raymundo; McCord, Gordon Carlos; Molla, Kiflu Gedefe; Monjeau, Adrian; Navarro-Garcia, Javier; Neubauer, Rudolf; Obersteiner, Michael; Olguín, Marcela; Orduña-Cabrera, Fernando; Pena, Andres; Pérez-Guzmán, Katya; Potashnikov, Vladimir; Rämö, Janne; Ramos, Fernando M; Rasche, Livia; Gallardo, René Reyes; Schmidt-Traub, Guido; Selomane, Odirilwe; Singh, Vartika; Smith, Alison; Soterroni, Aline C; Sperling, Frank; Steinhauser, Jan; Stevanovic, Miodrag; Strokov, Anton; Thomson, Marcus; Oort, Bob van; Vittis, Yiorgos; Chris Wade, Chris; Winarni, Nurul L; Woldeyes, Firew Bekele; Wu, Grace C; Zerriffi, Hisham (IOP Science, 2023-03-21)
      The achievement of several sustainable development goals and the Paris Climate Agreement depends on rapid progress towards sustainable food and land systems in all countries. We have built a flexible, collaborative modeling ...
    • Evolving an integrated framework for ambidextrous HRM: a special case of platformbased gig work 

      Johar, Ekta; Singh, Manjari (Science Direct, 2023-11-04)
      This study proposes a conceptual framework emphasising ambidextrous HRM’s ability to foster organisational capabilities to survive and succeed in a challenging business environment. We include ambidextrous HRM systems in ...
    • Did work from home “really” work during COVID-19? 

      Gopalakrishnan, Balagopal; Sampath, Aravind; Srivastava, Jagriti (Emerald Publishing, 2024-03-18)
      Purpose – In this study, we examine whether work from home (WFH) had an impact on firm productivity during the COVID-19 period. Design/methodology/approach – We employ a panel fixed-effect model using 79,201 firm-quarter ...
    • Passenger transport decarbonization in emerging economies: policylessons from modelling long-term deep decarbonization pathways 

      Briand, Yann; Pye, Steve; D’Agosto, Marcio de Almeida; Goes, George Vasconcelos; Schmitz-Gonçalves, Daniel Neves; Garg, Amit; Gupta, Dipti; Vishwanathan, Saritha Sudharmma; Siagian, Ucok W.R.; Ahjum, Fadiel; Trollip, Hilton (Taylor & Francis, 2023-03-18)
      Reaching the goal of the Paris Agreement will not be possible without a deepdecarbonization of the passenger transport sector. In emerging economiesexperiencing rapid economic growth and social transformations, and ...
    • Did it increase energy consumption? a difference-in-differences evaluation of a rural electrification policy in Gujarat, India using night-time lights data 

      Chindarkar, Namrata; Goyal, Nihit (Elsevier, 2023-12-25)
      Electricity access is an important issue and building capacity for it requires drawing relevant lessons from past policies. In this study, we evaluate the effect of the Jyotigram Yojana, or the lighted village scheme, a ...
    • An analysis of the dual burden of childhood stunting and wasting in Myanmar: a copula geoadditive modelling approach 

      Bhadra, Dhiman (Cambridge University Press, 2024-01-19)
      To analyse the spatial variation and risk factors of the dual burden of childhood stunting and wasting in Myanmar. Analysis was carried out on nationally representative data obtained from the Myanmar Demographic and Health ...
    • Re-evaluating corporate purpose: a critical assessment of the indian stakeholder governance framework through a historical and comparative analysis 

      Pandey, Astha; Ram Mohan, M. P (28 Jun 2024, 2024-06-28)
      In the last century, the meaning and interpretation of the purpose of the corporation has undergone a succession of ideological shifts. Corporate purpose has become the prime focus of wide-ranging debates over the shareholder ...
    • India's pathway to net zero by 2070: status, challenges, and way forward 

      Chaturvedi, Vaibhav; Ghosh, Arunabha; Garg, Amit; Avashia, Vidhee; Vishwanathan, Saritha Sudharmma; Gupta, Dipti; Sinha, Nilesh Kumar; Bhushan, Chandra; Banerjee, Srestha; Datt, Divya; Bansal, Juhi; Pathak, Minal; Dhar, Subash; Singh, Ajeet Kumar; Khan, Nayeem; Rashmi, Rajani Ranjan; Agrawal, Shalu; Agarwal, Disha; Singh, Anjali; C, Thirumalai N; Saxena, Siddharth S; Vishal, Vikram; Singh, Udayan; Mallapragada, Dharik S; Chaturvedi, Rajiv Kumar; Pillai, Aditya Valiathan; Garg, Vibhuti; Singh, Santosh; Hari, Kavya; Janardhanan, Nandakumar; Zusman, Eric; Mahapatra, Diptiranjan; Raha, Shuva; Gupta, Tulika; Prasad, Sumit (IOP Publishing, 2024-10-22)
      The announcement of India’s 2070 net-zero target has demonstrated the power of a credible policy signal and changed the course of India’s climate debate. While the Government of India (GoI) has not specified whether this ...
    • Mitigation of non-CO2 greenhouse gases from Indian agriculture sector 

      Patange, Omkar; Purohit, Pallav; Avashia, Vidhee; Klimont, Zbigniew; Garg, Amit (IOPscience, 2024-06-17)
      The Indian agriculture sector is driven by small and marginal farmers and employs two-thirds of the Indian work force. Agriculture also accounts for around a quarter of the total greenhouse gas emissions, mainly in the ...
    • Synergistic associations of ambient air pollution and heat on daily mortality in India 

      Bont, Jeroen de; Rajiva, Ajit; Mandal, Siddhartha; Stafoggia, Massimo; Banerjee, Tirthankar; Dholakia, Hem; Garg, Amit; Ingole, Vijendra; Jaganathan, Suganthi; Kloog, Itai; Krishna, Bhargav; Lane, Kevin; Mall, R.K; Menon, Jyothi; Sarma, Amruta Nori; Prabhakaran, Dorairaj; Tiwari, Abhiyant Suresh; Wei, Yaguang; Wellenius, Gregory A; Schwartz, Joel; Prabhakaran, Poornima; Ljungman, Petter (Elsevier, 2025-03-29)
      Background: Limited studies have evaluated the interaction between ambient air pollution and heat on mortality, especially in regions such as India, where extreme levels of both exposures occur frequently. Accordingly, we ...
    • Assessing the effect of mindful consumption towards residents’ well-being with the mediation of brand loyalty and self-brand connection in tourism 

      Kaur, Jaspreet; Sharma, Ruchika; Sharma, Shikha; Roy, Subhadip (Taylor & Francis, 2025-01-15)
      'Mindful consumption’ in tourism services helps to create a positive experience for the consumerby enabling the latter to effectively utilise the resources available at the tourist destination. Whilenumerous studies have ...
    • A novel model using ML techniques for clinical trial design and expedited patient onboarding process 

      Iyer, Abhirvey; Narayabaswami, Sundaravalli (Taylor & Francis, 2025-01-16)
      In this paper, we present novel research that leverages machine learning (ML) models and techniques to automate the outcome prediction of clinical trials. Our study is motivated to combine two crucial aspects, namely, the ...
    • Structural mean models for instrumented difference-in-differences 

      Vo, Tat-Thang; Ye, Ting; Ertefaie, Ashkan; Roy, Samrat; Flory, James; Hennessy, Sean; Vansteelandt, Stijn; Small, Dylan S (Project Euclid, 2024-12-13)
      In the standard difference-in-differences research design, the parallel trend assumption can be violated when the effect of some unmeasured confounders on the outcome trend is different between the treated and untreated ...