@article{53611,
  author       = {{Hoffmann, Christin and Thommes, Kirsten}},
  issn         = {{0095-0696}},
  journal      = {{Journal of Environmental Economics and Management}},
  keywords     = {{Management, Monitoring, Policy and Law, Economics and Econometrics}},
  publisher    = {{Elsevier BV}},
  title        = {{{Can leaders motivate employees’ energy-efficient behavior with thoughtful communication?}}},
  doi          = {{10.1016/j.jeem.2024.102990}},
  year         = {{2024}},
}

@article{53226,
  author       = {{Marín, Raquel and Santos-Arteaga, Francisco J. and Tavana, Madjid and Di Caprio, Debora}},
  issn         = {{2444-569X}},
  journal      = {{Journal of Innovation & Knowledge}},
  keywords     = {{Management of Technology and Innovation, Marketing, Economics and Econometrics, Business and International Management}},
  number       = {{4}},
  publisher    = {{Elsevier BV}},
  title        = {{{Value Chain digitalization and technological development as innovation catalysts in small and medium-sized enterprises}}},
  doi          = {{10.1016/j.jik.2023.100454}},
  volume       = {{8}},
  year         = {{2023}},
}

@article{41192,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>We examine distortions caused by tax base allocation systems–separate accounting (SA) or formula apportionment (FA)–with respect to the allocation of assets and workforce within multinational entities (MNEs). The effects of both systems are intensively debated by EU Member States as they are striving to implement a European tax system. Its introduction would lead to a switch from SA to FA. Moreover, Pillar One of the recent global tax reform includes a mix of both tax base allocation systems. We find that, against the claims of the EU, FA does not necessarily create lower distortions of the factor allocation. Decisive for that assessment is the level of profit shifting under SA. Our results indicate that, in tendency, the factor allocation is more severely distorted by FA when the profit shifting possibilities were rather low under SA. In contrast to former studies, we highlight the importance of analyzing the status quo under the recently applied system (SA) in order to be able to assess the consequences of a switch from SA to FA. Our results are interesting for policy-makers as they help anticipating reactions of MNEs to a change in the applied tax base allocation system and for companies as a basis for future tax planning.</jats:p>}},
  author       = {{Ortmann, Regina and Pummerer, Erich}},
  issn         = {{0044-2372}},
  journal      = {{Journal of Business Economics}},
  keywords     = {{Economics and Econometrics, Business and International Management}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Distortional effects of separate accounting and formula apportionment on factor allocation}}},
  doi          = {{10.1007/s11573-022-01133-5}},
  year         = {{2023}},
}

@article{45401,
  abstract     = {{<jats:title>Abstract</jats:title>
               <jats:p>This paper investigates the price impact of the fuel discount in Germany, which was introduced between June and August 2022 to partially compensate increased energy costs. Using the augmented synthetic control method (ASCM) to construct the counterfactual, we provide quantitative evidence to the heated debate concerning the impact of this policy tool and find the fuel discount to have decreased consumer prices of petrol (diesel) by at least 0.30 euro per litre (0.10 euro per litre) on average. The results are robust to various sensitivity checks. Thus, oil companies and petrol stations decreased prices for consumers and passed on about 85 % (65 %) of the discount in case of petrol (diesel). Moreover, we do not find signs of excessive price increases in anticipation of the fuel discount.</jats:p>}},
  author       = {{Seiler, Volker and Stöckmann, Nico}},
  issn         = {{1465-6485}},
  journal      = {{German Economic Review}},
  keywords     = {{Economics and Econometrics}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{The Impact of the German Fuel Discount on Prices at the Petrol Pump}}},
  doi          = {{10.1515/ger-2022-0108}},
  year         = {{2023}},
}

@article{30341,
  author       = {{Hoyer, Britta and van Straaten, Dirk}},
  issn         = {{2214-8043}},
  journal      = {{Journal of Behavioral and Experimental Economics}},
  keywords     = {{General Social Sciences, Economics and Econometrics, Applied Psychology}},
  pages        = {{101869}},
  publisher    = {{Elsevier BV}},
  title        = {{{Anonymity and Self-Expression in Online Rating Systems - An Experimental Analysis}}},
  doi          = {{10.1016/j.socec.2022.101869}},
  volume       = {{98}},
  year         = {{2022}},
}

@article{34197,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Comprehensive data understanding is a key success driver for data analytics projects. Knowing the characteristics of the data helps a lot in selecting the appropriate data analysis techniques. Especially in data-driven product planning, knowledge about the data is a necessary prerequisite because data of the use phase is very heterogeneous. However, companies often do not have the necessary know-how or time to build up solid data understanding in connection with data analysis. In this paper, we develop a methodology to organize and categorize and thus understand use phase data in a way that makes it accessible to general data analytics workflows, following a design science research approach. We first present a knowledge base that lists typical use phase data from a product planning view. Second, we develop a taxonomy based on standard literature and real data objects, which covers the diversity of the data considered. The taxonomy provides 8 dimensions that support classification of use phase data and allows to capture data characteristics from a data analytics view. Finally, we combine both views by clustering the objects of the knowledge base according to the taxonomy. Each of the resulting clusters covers a typical combination of analytics relevant characteristics occurring in practice. By abstracting from the diversity of use phase data into artifacts with manageable complexity, our approach provides guidance to choose appropriate data analysis and AI techniques.</jats:p>}},
  author       = {{Panzner, Melina and von Enzberg, Sebastian and Meyer, Maurice and Dumitrescu, Roman}},
  issn         = {{1868-7865}},
  journal      = {{Journal of the Knowledge Economy}},
  keywords     = {{Economics and Econometrics}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Characterization of Usage Data with the Help of Data Classifications}}},
  doi          = {{10.1007/s13132-022-01081-z}},
  year         = {{2022}},
}

@article{33221,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Non-pharmaceutical interventions are an effective strategy to prevent and control COVID-19 transmission in the community. However, the timing and stringency to which these measures have been implemented varied between countries and regions. The differences in stringency can only to a limited extent be explained by the number of infections and the prevailing vaccination strategies. Our study aims to shed more light on the lockdown strategies and to identify the determinants underlying the differences between countries on regional, economic, institutional, and political level. Based on daily panel data for 173 countries and the period from January 2020 to October 2021 we find significant regional differences in lockdown strategies. Further, more prosperous countries implemented milder restrictions but responded more quickly, while poorer countries introduced more stringent measures but had a longer response time. Finally, democratic regimes and stronger manifested institutions alleviated and slowed down the introduction of lockdown measures.</jats:p>}},
  author       = {{Redlin, Margarete}},
  issn         = {{0922-680X}},
  journal      = {{Journal of Regulatory Economics}},
  keywords     = {{Economics and Econometrics}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Differences in NPI strategies against COVID-19}}},
  doi          = {{10.1007/s11149-022-09452-9}},
  year         = {{2022}},
}

@article{33714,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Industry 4.0 promises many potentials in production. Examples are a data-driven optimization of production processes of individual machines, driverless transport systems, and assistance systems. Nevertheless, companies are still hesitant to invest in Industry 4.0 applications. Studies show that one of the main reasons for that is the unclear economic benefit. In this work, we present a systematic approach for the evaluation of Industry 4.0 applications in production. The main goal of the systematic is to create transparency over the evaluation process of an investment in an Industry 4.0 application in production. The evaluation of a concrete technical solution in an existing production system is supported. As a theoretical foundation, a characterization of investments in Industry 4.0 applications is given. From that, a procedure model is derived. It puts the activities to be carried out, the tools to be used and results in a temporal context. The application of the systematic is shown on the basis of an application example.</jats:p>}},
  author       = {{Joppen, Robert and Kühn, Arno and Förster, Magdalena and Dumitrescu, Roman}},
  issn         = {{1868-7865}},
  journal      = {{Journal of the Knowledge Economy}},
  keywords     = {{Economics and Econometrics}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Evaluation of Industry 4.0 Applications in Production}}},
  doi          = {{10.1007/s13132-022-00959-2}},
  year         = {{2022}},
}

@article{33953,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Comprehensive data understanding is a key success driver for data analytics projects. Knowing the characteristics of the data helps a lot in selecting the appropriate data analysis techniques. Especially in data-driven product planning, knowledge about the data is a necessary prerequisite because data of the use phase is very heterogeneous. However, companies often do not have the necessary know-how or time to build up solid data understanding in connection with data analysis. In this paper, we develop a methodology to organize and categorize and thus understand use phase data in a way that makes it accessible to general data analytics workflows, following a design science research approach. We first present a knowledge base that lists typical use phase data from a product planning view. Second, we develop a taxonomy based on standard literature and real data objects, which covers the diversity of the data considered. The taxonomy provides 8 dimensions that support classification of use phase data and allows to capture data characteristics from a data analytics view. Finally, we combine both views by clustering the objects of the knowledge base according to the taxonomy. Each of the resulting clusters covers a typical combination of analytics relevant characteristics occurring in practice. By abstracting from the diversity of use phase data into artifacts with manageable complexity, our approach provides guidance to choose appropriate data analysis and AI techniques.</jats:p>}},
  author       = {{Panzner, Melina and von Enzberg, Sebastian and Meyer, Maurice and Dumitrescu, Roman}},
  issn         = {{1868-7865}},
  journal      = {{Journal of the Knowledge Economy}},
  keywords     = {{Economics and Econometrics}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Characterization of Usage Data with the Help of Data Classifications}}},
  doi          = {{10.1007/s13132-022-01081-z}},
  year         = {{2022}},
}

@article{35740,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>While the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.</jats:p>}},
  author       = {{Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}},
  number       = {{1}},
  pages        = {{375--396}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Systematizing the lexicon of platforms in information systems: a data-driven study}}},
  doi          = {{10.1007/s12525-022-00530-6}},
  volume       = {{32}},
  year         = {{2022}},
}

@article{34473,
  abstract     = {{Psychologists claim that being treated kindly puts individuals in a positive emotional state: they then treat an unrelated third party more kindly. Numerous experiments
document that subjects indeed ‘pay forward’ specific behavior. For example, they are less generous after having experienced stinginess. This, however, is not necessarily
driven by emotions. Subjects may also imitate what they regard as socially adequate behavior. Here, I present an experiment in which imitation is not possible at the next
opportunity to act with a stranger: after being given either a fun or an annoying job, subjects have to decide whether to be generous or not. I find that although subjects who are given the annoying job report more negative emotions than those with the fun job, they do not treat an unrelated third person more unkindly in terms of passing on less money.
}},
  author       = {{Schnedler, Wendelin}},
  issn         = {{0899-8256}},
  journal      = {{Games and Economic Behavior}},
  keywords     = {{Economics and Econometrics, Finance}},
  pages        = {{542--558}},
  publisher    = {{Elsevier BV}},
  title        = {{{The broken chain: Evidence against emotionally driven upstream indirect reciprocity}}},
  doi          = {{10.1016/j.geb.2022.10.008}},
  volume       = {{136}},
  year         = {{2022}},
}

@article{53238,
  author       = {{Tavana, Madjid and Khalili Nasr, Arash and Mina, Hassan and Michnik, Jerzy}},
  issn         = {{0038-0121}},
  journal      = {{Socio-Economic Planning Sciences}},
  keywords     = {{Management Science and Operations Research, Statistics, Probability and Uncertainty, Strategy and Management, Economics and Econometrics, Geography, Planning and Development}},
  publisher    = {{Elsevier BV}},
  title        = {{{A private sustainable partner selection model for green public-private partnerships and regional economic development}}},
  doi          = {{10.1016/j.seps.2021.101189}},
  volume       = {{83}},
  year         = {{2022}},
}

@article{36815,
  abstract     = {{<jats:p>Iso-octane is frequently used as a surrogate fuel or as a component in primary reference fuel blends when low-temperature combustion strategies in engines are investigated. To develop control strategies for these engines, the reaction kinetics of iso-octane must be known starting from the low temperatures and intermediate pressures before ignition to the high temperatures and pressures of combustion. This work adds new experimental data sets to the validation data for reaction mechanism development by investigating the oxidation of iso-octane in stoichiometric mixtures in a flow reactor at pressures of <jats:italic>p</jats:italic> = 1, 10, and 20 bar and 473K ≤ T ≤ 973 K. The experimental data are compared to simulations with recent reaction mechanisms [Atef et al., Combustion and Flame 178, (2017), Bagheri et al., Combustion and Flame 212, (2020), Cai et al., Proceedings of the Combustion Institute 37, (2018), Fang et al., Combustion and Flame 214, (2020)]. The comparison between experimental and simulated mole fractions as function of temperature show reasonable agreement for all investigated pressures. In particular, the experimentally observed onset of low-temperature reactivity above a certain pressure, the shift of the negative temperature coefficient (NTC) regime with increasing pressure to higher temperatures, and the acceleration of the high-temperature chemistry are captured well in the simulations. Deviations between experimental and simulated results are discussed in detail for the reactivity of iso-octane and some key intermediates such as 2,2,4,4-tetramethyl-tetrahydrofuran, iso-butene and acetone at low temperatures.</jats:p>}},
  author       = {{Shaqiri, S. and Kaczmarek, D. and vom Lehn, F. and Beeckmann, J. and Pitsch, H. and Kasper, Tina}},
  issn         = {{2296-598X}},
  journal      = {{Frontiers in Energy Research}},
  keywords     = {{Economics and Econometrics, Energy Engineering and Power Technology, Fuel Technology, Renewable Energy, Sustainability and the Environment}},
  publisher    = {{Frontiers Media SA}},
  title        = {{{Experimental Investigation of the Pressure Dependence of Iso-Octane Combustion}}},
  doi          = {{10.3389/fenrg.2022.859112}},
  volume       = {{10}},
  year         = {{2022}},
}

@article{37138,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Assuming that potential biases of Artificial Intelligence (AI)-based systems can be identified and controlled for (e.g., by providing high quality training data), employing such systems to augment human resource (HR)-decision makers in candidate selection provides an opportunity to make selection processes more objective. However, as the final hiring decision is likely to remain with humans, prevalent human biases could still cause discrimination. This work investigates the impact of an AI-based system’s candidate recommendations on humans’ hiring decisions and how this relation could be moderated by an Explainable AI (XAI) approach. We used a self-developed platform and conducted an online experiment with 194 participants. Our quantitative and qualitative findings suggest that the recommendations of an AI-based system can reduce discrimination against older and female candidates but appear to cause fewer selections of foreign-race candidates. Contrary to our expectations, the same XAI approach moderated these effects differently depending on the context.</jats:p>}},
  author       = {{Hofeditz, Lennart and Clausen, Sünje and Rieß, Alexander and Mirbabaie, Milad and Stieglitz, Stefan}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets (ELMA)}},
  keywords     = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Applying XAI to an AI-based system for candidate management to mitigate bias and discrimination in hiring}}},
  doi          = {{10.1007/s12525-022-00600-9}},
  year         = {{2022}},
}

@article{32568,
  abstract     = {{This paper investigates the impact of special economic zones (SEZs) on economic growth. We use the Pudong New Area Open Economic Zone in Shanghai for our comparative case study and find this policy tool to have added up to CNY 7,166 to GDP per capita compared to a synthetic counterfactual without such a policy. Given that different reform policies were undertaken in different provinces including Shanghai itself even before the launch of the Pudong New Area Open Economic Zone, our findings might be considered conservative}},
  author       = {{Seiler, Volker and Gilroy, Bernard Michael and Peitz, Christian and Stöckmann, Nico}},
  issn         = {{0003-6846}},
  journal      = {{Applied Economics}},
  keywords     = {{Economics and Econometrics}},
  pages        = {{1--14}},
  publisher    = {{Informa UK Limited}},
  title        = {{{40 years of economic reform - the case of Pudong new area open economic zone in Shanghai}}},
  doi          = {{https://doi.org/10.1080/00036846.2022.2099803}},
  year         = {{2022}},
}

@article{30735,
  abstract     = {{While the Information Systems (IS) discipline has researched digital platforms extensively, the body of knowledge appertaining to platforms still appears fragmented and lacking conceptual consistency. Based on automated text mining and unsupervised machine learning, we collect, analyze, and interpret the IS discipline’s comprehensive research on platforms—comprising 11,049 papers spanning 44 years of research activity. From a cluster analysis concerning platform concepts’ semantically most similar words, we identify six research streams on platforms, each with their own platform terms. Based on interpreting the identified concepts vis-à-vis the extant research and considering a temporal perspective on the concepts’ application, we present a lexicon of platform concepts, to guide further research on platforms in the IS discipline. Researchers and managers can build on our results to position their work appropriately, applying a specific theoretical perspective on platforms in isolation or combining multiple perspectives to study platform phenomena at a more abstract level.}},
  author       = {{Bartelheimer, Christian and zur Heiden, Philipp and Lüttenberg, Hedda and Beverungen, Daniel}},
  issn         = {{1019-6781}},
  journal      = {{Electronic Markets}},
  keywords     = {{Management of Technology and Innovation, Marketing, Computer Science Applications, Economics and Econometrics, Business and International Management}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Systematizing the lexicon of platforms in information systems: a data-driven study}}},
  doi          = {{10.1007/s12525-022-00530-6}},
  year         = {{2022}},
}

@article{29214,
  abstract     = {{From the 1880s scientists developed methods to measure (dishonest) tax payment behaviour. The first part of this article provides an overview of these methods and their development. The second part enquires into the function of measuring methods in the societal discourse about (honest) tax payments. The tax morale research of Günter Schmölders, carried out in the 1950s and 1960s, is then examined as a case study. The focus of interest is on the political advice that Schmölders gave, as based on his empirical results, and on the ideal image of the citizen and society which underlay the scientific method.}},
  author       = {{Schönhärl, Korinna}},
  issn         = {{2196-6842}},
  journal      = {{Jahrbuch für Wirtschaftsgeschichte / Economic History Yearbook}},
  keywords     = {{Economics and Econometrics, History}},
  number       = {{2}},
  pages        = {{473--503}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Steuerzahlverhalten quantifizieren}}},
  doi          = {{10.1515/jbwg-2021-0017}},
  volume       = {{62}},
  year         = {{2021}},
}

@article{29218,
  abstract     = {{The following issue arose from a section at the Congress for Economic and Social History in Regensburg in March 2019 and focuses on fiscal conflicts in Europe from the early modern period until today. Distributive fiscal conflicts are seen here as a probe into the past which can increase our understanding of historical social structures. Fiscal history is analysed as a central arena of the modern state. The introduction provides an overview of current research into fiscal history in Germany and of the contributions presented in this focus issue.}},
  author       = {{Schönhärl, Korinna and Spoerer, Mark}},
  issn         = {{2196-6842}},
  journal      = {{Jahrbuch für Wirtschaftsgeschichte / Economic History Yearbook}},
  keywords     = {{Economics and Econometrics, History}},
  number       = {{2}},
  pages        = {{291--302}},
  publisher    = {{Walter de Gruyter GmbH}},
  title        = {{{Einleitung: Staatsfinanzen und Konflikt}}},
  doi          = {{10.1515/jbwg-2021-0011}},
  volume       = {{62}},
  year         = {{2021}},
}

@article{48514,
  abstract     = {{This paper introduces narratives in entrepreneurial ecosystems as drivers of effectuation vs. causation. Drawing on 43 interviews with successful players in Silicon Valley, Munich, and Singapore, we found ecosystem-specific narratives indicate what is common, appropriate, and successful in each ecosystem, and these narratives encourage either effectuation or causation. Our findings indicate that the narratives in the ecosystem in Silicon Valley facilitate effectuation, in Munich causation, and in Singapore a cautious balance of both. Our research suggests that narratives can explain mechanisms how ecosystems influence entrepreneurship: the national culture, market characteristics, available resources, and networks in an ecosystem spark ecosystem-specific narratives, which in turn shape tendencies towards effectuation and causation. Thereby, we introduce a new ecosystem-focused perspective on predictors of effectuation and causation.}},
  author       = {{Hubner-Benz, Sylvia and Most, Fabian and Wirtz, Jochen and Auer, Christine}},
  issn         = {{0921-898X}},
  journal      = {{Small Business Economics}},
  keywords     = {{Economics and Econometrics, General Business, Management and Accounting}},
  number       = {{1}},
  pages        = {{211--242}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Narratives in entrepreneurial ecosystems: drivers of effectuation versus causation}}},
  doi          = {{10.1007/s11187-021-00531-3}},
  volume       = {{59}},
  year         = {{2021}},
}

@article{33668,
  abstract     = {{<jats:title>Abstract</jats:title><jats:p>Vaccinations, lockdowns and testing strategies are three potential elements of an effective anti-coronavirus, and in particular Covid-19, health policy. The following analysis considers - within a simple model - the potentially crucial role of a Corona testing approach in combination with a quarantine approach which is shown herein to be a substitute for broad lockdown measures. The cost of lockdowns/shutdowns are rather high so that – beyond progress in terms of a broad vaccination program – a rational testing strategy should also be carefully considered. Testing has to be organized on the basis of an adequate testing infrastructure which could largely be implemented in firms, schools, universities and public administration settings. As regards the cost of a systematic broad Covid-19 testing strategy, these could come close to 0.5% of national income if there are no vaccinations. The Testing &amp; Quarantine approach suggested here – with tests for symptomatic as well as asymptomatic people - is based on a random sampling and would require rather broad and frequent testing; possibly one test per person every 7–10 days. At the same time, one should consider that the cost of further lockdowns/shutdowns of a duration of 1 month could be very high, such that a standard cost benefit analysis supports the testing approach suggested herein. Also, an optimal policy mix could be designed where both vaccinations and testing play a crucial role. As of late January 2021, no further lockdowns in Germany and other OECD countries would be necessary if a broad testing infrastructure can be established rather quickly. This in turn will reinforce economic optimism and help to jumpstart economic growth in Europe, the US and Asia in a solid way. The basic logic of the testing approach pointed out here for industrialized countries could also be applied in developing countries. The approach presented is complementary to the IMF analysis of Cherif/Hasanov.</jats:p>}},
  author       = {{Gries, Thomas and Welfens, Paul J. J.}},
  issn         = {{1612-4804}},
  journal      = {{International Economics and Economic Policy}},
  keywords     = {{Economics and Econometrics}},
  number       = {{1}},
  pages        = {{1--24}},
  publisher    = {{Springer Science and Business Media LLC}},
  title        = {{{Testing as an approach to control the Corona epidemic dynamics and avoid lockdowns}}},
  doi          = {{10.1007/s10368-021-00495-5}},
  volume       = {{18}},
  year         = {{2021}},
}