@article{53237,
  author       = {{Tavana, Madjid and Kian, Hadi and Nasr, Arash Khalili and Govindan, Kannan and Mina, Hassan}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  keywords     = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment}},
  publisher    = {{Elsevier BV}},
  title        = {{{A comprehensive framework for sustainable closed-loop supply chain network design}}},
  doi          = {{10.1016/j.jclepro.2021.129777}},
  volume       = {{332}},
  year         = {{2022}},
}

@article{53239,
  author       = {{Tavana, Madjid and Ghasrikhouzani, Mohsen and Abtahi, Amir-Reza}},
  issn         = {{0953-7325}},
  journal      = {{Technology Analysis & Strategic Management}},
  keywords     = {{Management Science and Operations Research, Strategy and Management}},
  number       = {{8}},
  pages        = {{859--875}},
  publisher    = {{Informa UK Limited}},
  title        = {{{A technology development framework for scenario planning and futures studies using causal modeling}}},
  doi          = {{10.1080/09537325.2021.1931672}},
  volume       = {{34}},
  year         = {{2022}},
}

@article{53242,
  author       = {{Ebadi Torkayesh, Ali and Tavana, Madjid and Santos-Arteaga, Francisco J.}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  keywords     = {{Industrial and Manufacturing Engineering, Strategy and Management, General Environmental Science, Renewable Energy, Sustainability and the Environment, Building and Construction}},
  publisher    = {{Elsevier BV}},
  title        = {{{A multi-distance interval-valued neutrosophic approach for social failure detection in sustainable municipal waste management}}},
  doi          = {{10.1016/j.jclepro.2022.130409}},
  volume       = {{336}},
  year         = {{2022}},
}

@article{53249,
  author       = {{Pamucar, Dragan and Macura, Dragana and Tavana, Madjid and Božanić, Darko and Knežević, Nikola}},
  issn         = {{0038-0121}},
  journal      = {{Socio-Economic Planning Sciences}},
  publisher    = {{Elsevier BV}},
  title        = {{{An integrated rough group multicriteria decision-making model for the ex-ante prioritization of infrastructure projects: The Serbian Railways case}}},
  doi          = {{10.1016/j.seps.2021.101098}},
  volume       = {{79}},
  year         = {{2022}},
}

@article{53246,
  author       = {{Pamucar, Dragan and Deveci, Muhammet and Gokasar, Ilgin and Tavana, Madjid and Köppen, Mario}},
  issn         = {{0040-1625}},
  journal      = {{Technological Forecasting and Social Change}},
  publisher    = {{Elsevier BV}},
  title        = {{{A metaverse assessment model for sustainable transportation using ordinal priority approach and Aczel-Alsina norms}}},
  doi          = {{10.1016/j.techfore.2022.121778}},
  volume       = {{182}},
  year         = {{2022}},
}

@article{53247,
  author       = {{Shahvari, Omid and Logendran, Rasaratnam and Tavana, Madjid}},
  issn         = {{1094-6136}},
  journal      = {{Journal of Scheduling}},
  number       = {{5}},
  pages        = {{589--621}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{An efficient model-based branch-and-price algorithm for unrelated-parallel machine batching and scheduling problems}}},
  doi          = {{10.1007/s10951-022-00729-7}},
  volume       = {{25}},
  year         = {{2022}},
}

@article{53248,
  author       = {{Ebrahimnejad, Ali and Tavana, Madjid and Charles, Vincent}},
  issn         = {{1432-7643}},
  journal      = {{Soft Computing}},
  number       = {{1}},
  pages        = {{327--347}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Analytics under uncertainty: a novel method for solving linear programming problems with trapezoidal fuzzy variables}}},
  doi          = {{10.1007/s00500-021-06389-7}},
  volume       = {{26}},
  year         = {{2022}},
}

@article{53243,
  author       = {{Vafadarnikjoo, Amin and Tavana, Madjid and Chalvatzis, Konstantinos and Botelho, Tiago}},
  issn         = {{0038-0121}},
  journal      = {{Socio-Economic Planning Sciences}},
  publisher    = {{Elsevier BV}},
  title        = {{{A socio-economic and environmental vulnerability assessment model with causal relationships in electric power supply chains}}},
  doi          = {{10.1016/j.seps.2021.101156}},
  volume       = {{80}},
  year         = {{2022}},
}

@article{53250,
  author       = {{Di Caprio, Debora and Santos-Arteaga, Francisco J. and Tavana, Madjid}},
  issn         = {{0924-669X}},
  journal      = {{Applied Intelligence}},
  number       = {{7}},
  pages        = {{7529--7549}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A new algorithm for modeling online search behavior and studying ranking reliability variations}}},
  doi          = {{10.1007/s10489-021-02856-8}},
  volume       = {{52}},
  year         = {{2022}},
}

@article{53244,
  author       = {{Di Caprio, Debora and Santos-Arteaga, Francisco J. and Tavana, Madjid}},
  issn         = {{0957-4174}},
  journal      = {{Expert Systems with Applications}},
  publisher    = {{Elsevier BV}},
  title        = {{{An information retrieval benchmarking model of satisficing and impatient users’ behavior in online search environments}}},
  doi          = {{10.1016/j.eswa.2021.116352}},
  volume       = {{191}},
  year         = {{2022}},
}

@article{53245,
  author       = {{Moazzeni, Sahar and Tavana, Madjid and Mostafayi Darmian, Sobhan}},
  issn         = {{0959-6526}},
  journal      = {{Journal of Cleaner Production}},
  publisher    = {{Elsevier BV}},
  title        = {{{A dynamic location-arc routing optimization model for electric waste collection vehicles}}},
  doi          = {{10.1016/j.jclepro.2022.132571}},
  volume       = {{364}},
  year         = {{2022}},
}

@article{53253,
  author       = {{Tavana, Madjid and Nazari-Shirkouhi, Salman and Mashayekhi, Amir and Mousakhani, Saeed}},
  issn         = {{2662-2556}},
  journal      = {{Operations Research Forum}},
  number       = {{1}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{An Integrated Data Mining Framework for Organizational Resilience Assessment and Quality Management Optimization in Trauma Centers}}},
  doi          = {{10.1007/s43069-022-00132-0}},
  volume       = {{3}},
  year         = {{2022}},
}

@article{53251,
  author       = {{Afrasiabi, Ahmadreza and Tavana, Madjid and Di Caprio, Debora}},
  issn         = {{0944-1344}},
  journal      = {{Environmental Science and Pollution Research}},
  number       = {{25}},
  pages        = {{37291--37314}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection}}},
  doi          = {{10.1007/s11356-021-17851-2}},
  volume       = {{29}},
  year         = {{2022}},
}

@article{53252,
  author       = {{Santos-Arteaga, Francisco J. and Tavana, Madjid and Di Caprio, Debora}},
  issn         = {{2444-569X}},
  journal      = {{Journal of Innovation & Knowledge}},
  number       = {{3}},
  publisher    = {{Elsevier BV}},
  title        = {{{Information acquisition and assimilation capacities as determinants of technological niche markets}}},
  doi          = {{10.1016/j.jik.2022.100193}},
  volume       = {{7}},
  year         = {{2022}},
}

@article{53255,
  author       = {{Jabbari, Mona and Tavana, Madjid and Fattahi, Parviz and Daneshamooz, Fatemeh}},
  issn         = {{2666-4127}},
  journal      = {{Sustainable Operations and Computers}},
  pages        = {{22--32}},
  publisher    = {{Elsevier BV}},
  title        = {{{A parameter tuned hybrid algorithm for solving flow shop scheduling problems with parallel assembly stages}}},
  doi          = {{10.1016/j.susoc.2021.09.002}},
  volume       = {{3}},
  year         = {{2022}},
}

@article{53256,
  author       = {{Hashemi, Seyed Emadedin and Tavana, Madjid and Bakhshi, Maryam}},
  issn         = {{2661-8907}},
  journal      = {{SN Computer Science}},
  number       = {{4}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{A New Particle Swarm Optimization Algorithm for Optimizing Big Data Clustering}}},
  doi          = {{10.1007/s42979-022-01208-8}},
  volume       = {{3}},
  year         = {{2022}},
}

@article{53254,
  author       = {{Tavana, Madjid and Shaabani, Akram and Raeesi Vanani, Iman and Kumar Gangadhari, Rajan}},
  issn         = {{2227-9717}},
  journal      = {{Processes}},
  number       = {{5}},
  publisher    = {{MDPI AG}},
  title        = {{{A Review of Digital Transformation on Supply Chain Process Management Using Text Mining}}},
  doi          = {{10.3390/pr10050842}},
  volume       = {{10}},
  year         = {{2022}},
}

@article{29317,
  abstract     = {{In this paper new semiparametric GARCH models with long memory are in- troduced. The estimation of the nonparametric scale function is carried out by an adapted version of the SEMIFAR algorithm (Beran et al., 2002). Recurring on the revised recommendations by the Basel Committee to measure market risk in the banks' trading books (Basel Committee on Banking Supervision, 2013), the semi- parametric GARCH models are applied to obtain rolling one-step ahead forecasts for the Value at Risk (VaR) and Expected Shortfall (ES) for market risk assets. In addition, standard regulatory traffic light tests (Basel Committee on Banking Supervision, 1996) and a newly introduced traffic light test for the ES are carried out for all models. The practical relevance of our proposal is demonstrated by a comparative study. Our results indicate that semiparametric long memory GARCH models are an attractive alternative to their conventional, parametric counterparts.}},
  author       = {{Letmathe, Sebastian and Feng, Yuanhua and Uhde, André}},
  journal      = {{Journal of Risk}},
  keywords     = {{Semiparametric, long memory, GARCH models, forecasting, Value at Risk, Expected Shortfall, traffic light test, Basel Committee on Banking Supervision}},
  title        = {{{Semiparametric GARCH models with long memory applied to Value at Risk and Expected Shortfall}}},
  doi          = {{10.21314/JOR.2022.044}},
  year         = {{2022}},
}

@article{35741,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Business process management (BPM) drives corporate success through effective and efficient processes. In recent decades, knowledge has been accumulated regarding the identification, discovery, analysis, design, implementation, and monitoring of business processes. This includes methods and tools for tackling various kinds of process change such as continuous process improvement, process reengineering, process innovation, and process drift. However, exogenous shocks, which lead to unintentional and radical process change, have been neglected in BPM research although they severely affect an organization’s context, strategy, and business processes. This research note conceptualizes the interplay of exogenous shocks and BPM in terms of the effects that such shocks can have on organizations’ overall process performance over time. On this foundation, related challenges and opportunities for BPM via several rounds of idea generation and consolidation within a diverse team of BPM scholars are identified. The paper discusses findings in light of extant literature from BPM and related disciplines, as well as present avenues for future (BPM) research to invigorate the academic discourse on the topic.</jats:p>}},
  author       = {{Röglinger, Maximilian and Plattfaut, Ralf and Borghoff, Vincent and Kerpedzhiev, Georgi and Becker, Jörg and Beverungen, Daniel and vom Brocke, Jan and Van Looy, Amy and del-Río-Ortega, Adela and Rinderle-Ma, Stefanie and Rosemann, Michael and Santoro, Flavia Maria and Trkman, Peter}},
  issn         = {{2363-7005}},
  journal      = {{Business & Information Systems Engineering}},
  keywords     = {{Information Systems, Business process management, Exogenous shocks, Challenges, Opportunities}},
  number       = {{5}},
  pages        = {{669--687}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Exogenous Shocks and Business Process Management}}},
  doi          = {{10.1007/s12599-021-00740-w}},
  volume       = {{64}},
  year         = {{2022}},
}

@article{35728,
  abstract     = {{Technological developments such as Cloud Computing, the Internet of Things, Big Data and Artificial Intelligence continue to drive the digital transformation of business and society. With the advent of platform-based ecosystems and their potential to address complex challenges, there is a trend towards greater interconnectedness between different stakeholders to co-create services based on the provision and use of data. While previous research on digital transformation mainly focused on digital transformation within organizations, it is of growing importance to understand the implications for digital transformation on different layers (e.g., interorganizational cooperation and platform ecosystems). In particular, the conceptualization and implications of public data spaces and related ecosystems provide promising research opportunities. This special issue contains five papers on the topic of digital transformation and, with the editorial, further contributes by providing an initial conceptualization of public data spaces' potential to foster innovative progress and digital transformation from a management perspective.}},
  author       = {{Beverungen, Daniel and Hess, Thomas and Köster, Antonia and Lehrer, Christiane}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Digital transformation, Public data spaces, Digital platforms, GAIA-X}},
  pages        = {{493--501}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{From private digital platforms to public data spaces: implications for the digital transformation}}},
  doi          = {{10.1007/s12525-022-00553-z}},
  volume       = {{32}},
  year         = {{2022}},
}