@techreport{17514, abstract = {{This paper introduces an index that captures the complexity of countries’ corporate income tax systems faced by multinational corporations. It is based on surveys of highly experienced tax consultants of the largest international tax services networks. The index, called the Tax Complexity Index (TCI), is composed of a tax code subindex covering tax regulations and a tax framework subindex covering tax processes and features. For a sample of 100 countries for the year 2016, we find that the level of tax complexity varies considerably across countries, while tax code and framework complexity also vary within countries. From a global perspective, tax complexity is strongly driven by the complexity of both transfer pricing regulations in the tax code and tax audits in the tax framework. When analyzing the associations with other country characteristics, we identify different correlation patterns. For example, tax framework complexity is negatively associated with countries’ governance, suggesting that strongly governed countries tend to have less complex tax frameworks, while tax code complexity is positively associated with the statutory tax rate, indicating that high-tax countries tend to have more complex tax codes. However, none of the observed associa-tions are very strong. We conclude that tax complexity represents a distinct country charac-teristic and propose the use of our TCI and its subindices in future research.}}, author = {{Hoppe, Thomas and Schanz, Debora and Sturm, Susann and Sureth-Sloane, Caren}}, title = {{{The Tax Complexity Index – A Survey-Based Country Measure of Tax Code and Framework Complexity}}}, doi = {{10.2139/ssrn.3469663}}, year = {{2021}}, } @techreport{29313, abstract = {{Employing a unique sample of 2,849 tariff imposition announcements by and against the United States (U.S.) over the period from 2018 to 2019, this study analyzes the impact of recent tariff announcements on share prices from 859 U.S. companies. We provide evidence for negative (cumulative) average abnormal stock returns due to tariff announcements during a symmetric three-day event window. We suggest that stock market investors expect adverse impacts of tariff impositions, e.g. a decrease in the companies’ future cash flows and a threat of retaliation. The negative wealth effects are observed irrespective of whether the Trump administration announces safeguard tariffs to protect domestic firms or a retaliation is declared by foreign countries. Moreover, building several subsamples, we find that the adverse impact is mostly driven by announcements involving China and is associated with a variety of sector, tariff, trade and firm characteristics. }}, author = {{Wengerek, Sascha Tobias and Uhde, André}}, keywords = {{event study, international relations, protectionism, strategic trade policy, tariffs, trade conflict}}, title = {{{Share Price Reactions to Tariff Imposition Announcements in the Trump Era – an Event Study of the Trade Conflict}}}, year = {{2021}}, } @techreport{29315, abstract = {{We merge a sample of 492 merger and acquisition (M&A) announcements from 284 acquiring firms across North America and Europe with data from 5-year single-name credit default swaps (CDSs) that are written on stock-listed acquiring firms between 2005 and 2018. Subsequently, we empirically analyze the CDS investors’ risk perception of M&A announcements using event study methodologies. As a baseline finding, we provide evidence for significantly positive cumulative average abnormal CDS spread changes suggesting that CDS investors perceive an increase in the acquiring firms’ credit risk exposures due to M&A announcements. Our baseline finding holds under several robustness checks, especially when controlling for the robustness of the empirical design as well as regional and sectoral differences. Moreover, results from a large variety of sensitivity analyses including deal and firm characteristics provide a deeper insight into the driving factors of CDS investors’ risk perceptions of M&A announcements.}}, author = {{Hippert, Benjamin and Uhde, André}}, title = {{{CDS investors’ risk perceptions of M&A announcements}}}, year = {{2021}}, } @techreport{29316, abstract = {{Employing a unique and hand-collected dataset of securitization transactions by European banks, this paper analyzes the relationship between true sale loan securitization and the issuing banks’ non-performing loans to total assets ratios (NPLRs). We provide evidence for an NPLR-reducing effect during the boom phase of securitizations suggesting that banks (partly) securitized NPLs as the most risky junior tranche. In contrast, we find the reverse effect during the crises period indicating that issuing banks demonstrated `skin in the game'. A variety of sensitivity analyses provides further important implications for the vital debate on reducing NPL exposures and regulating securitization markets.}}, author = {{Hippert, Benjamin and Uhde, André and Wengerek, Sascha Tobias}}, keywords = {{European Banking, Non-performing Loans, Risk Allocation, Securitization}}, title = {{{Risk allocation through securitization - Evidence from non-performing loans}}}, year = {{2021}}, } @article{17860, abstract = {{Purpose The purpose of this paper is to identify strategic options and challenges that arise when an industrial firm moves from providing smart service toward providing a platform. Design/methodology/approach This conceptual study takes on a multidisciplinary research perspective that integrates concepts, theories and insights from service management and marketing, information systems and platform economics. Findings The paper outlines three platform types – smart data platform, smart product platform and matching platform – as strategic options for firms that wish to evolve from smart service providers to platform providers. Research limitations/implications Investigating smart service platforms calls for launching interdisciplinary research initiatives. Promising research avenues are outlined to span boundaries that separate different research disciplines today. Practical implications Managing a successful transition from providing smart service toward providing a platform requires making significant investments in IT, platform-related capabilities and skills, as well as implement new approaches toward relationship management and brand-building. Originality/value The findings described in this paper are valuable to researchers in multiple disciplines seeking to develop and to justify theory related to platforms in industrial scenarios.}}, author = {{Beverungen, Daniel and Kundisch, Dennis and Wünderlich, Nancy}}, issn = {{507-532}}, journal = {{Journal of Service Management}}, keywords = {{Smart service, Platform, Interdisciplinary research, Manufacturing company, Smart service provider, Platform economics, Information systems, Multi-sided markets, Business-to-business (B2B) markets}}, number = {{4}}, pages = {{507--532}}, publisher = {{Emerald Insight}}, title = {{{Transforming into a Platform Provider: Strategic Options for Industrial Smart Service Providers}}}, doi = {{10.1108/JOSM-03-2020-0066}}, volume = {{32}}, year = {{2021}}, } @techreport{49277, author = {{Fochmann, Martin and Heile, Vanessa and Huber, Hans-Peter and Maiterth, Ralf and Sureth-Sloane, Caren}}, title = {{{Tax Burden on German Companies – Income Tax Burden and Administrative Costs}}}, doi = {{10.52569/NCAI8648}}, year = {{2021}}, } @article{53860, author = {{Tavana, Madjid and Mousavi, Hossein and Khalili Nasr, Arash and Mina, Hassan}}, issn = {{0957-4174}}, journal = {{Expert Systems with Applications}}, publisher = {{Elsevier BV}}, title = {{{A fuzzy weighted influence non-linear gauge system with application to advanced technology assessment at NASA}}}, doi = {{10.1016/j.eswa.2021.115274}}, volume = {{182}}, year = {{2021}}, } @article{53864, author = {{Tavana, Madjid and Izadikhah, Mohammad and Farzipoor Saen, Reza and Zare, Ramin}}, issn = {{0944-1344}}, journal = {{Environmental Science and Pollution Research}}, number = {{1}}, pages = {{664--682}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{An integrated data envelopment analysis and life cycle assessment method for performance measurement in green construction management}}}, doi = {{10.1007/s11356-020-10353-7}}, volume = {{28}}, year = {{2021}}, } @article{53868, author = {{Tavana, Madjid and Shaabani, Akram and Santos-Arteaga, Francisco J. and Valaei, Naser}}, issn = {{0944-1344}}, journal = {{Environmental Science and Pollution Research}}, number = {{38}}, pages = {{53953--53982}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics}}}, doi = {{10.1007/s11356-021-14302-w}}, volume = {{28}}, year = {{2021}}, } @article{53865, author = {{Tavana, Madjid and Shaabani, Akram and Mansouri Mohammadabadi, Soleyman and Varzgani, Nilofar}}, issn = {{2330-2674}}, journal = {{International Journal of Systems Science: Operations & Logistics}}, number = {{3}}, pages = {{238--261}}, publisher = {{Informa UK Limited}}, title = {{{An integrated fuzzy AHP- fuzzy MULTIMOORA model for supply chain risk-benefit assessment and supplier selection}}}, doi = {{10.1080/23302674.2020.1737754}}, volume = {{8}}, year = {{2021}}, } @article{53872, author = {{Ebrahimi, Bohlool and Tavana, Madjid and Kleine, Andreas and Dellnitz, Andreas}}, issn = {{0171-6468}}, journal = {{OR Spectrum}}, number = {{4}}, pages = {{1103--1124}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{An epsilon-based data envelopment analysis approach for solving performance measurement problems with interval and ordinal dual-role factors}}}, doi = {{10.1007/s00291-021-00649-6}}, volume = {{43}}, year = {{2021}}, } @article{53869, author = {{Tavana, Madjid and Shaabani, Akram and Di Caprio, Debora and Bonyani, Abbas}}, issn = {{2772-3909}}, journal = {{Cleaner Logistics and Supply Chain}}, publisher = {{Elsevier BV}}, title = {{{An integrated group fuzzy best-worst method and combined compromise solution with Bonferroni functions for supplier selection in reverse supply chains}}}, doi = {{10.1016/j.clscn.2021.100009}}, volume = {{2}}, year = {{2021}}, } @article{53866, author = {{Tavana, Madjid and Tohidi, Hamid and Alimohammadi, Milad and Lesansalmasi, Reza}}, issn = {{0944-1344}}, journal = {{Environmental Science and Pollution Research}}, number = {{36}}, pages = {{50636--50648}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{A location-inventory-routing model for green supply chains with low-carbon emissions under uncertainty}}}, doi = {{10.1007/s11356-021-13815-8}}, volume = {{28}}, year = {{2021}}, } @article{53870, author = {{Khalili Nasr, Arash and Tavana, Madjid and Alavi, Behrouz and Mina, Hassan}}, issn = {{0959-6526}}, journal = {{Journal of Cleaner Production}}, publisher = {{Elsevier BV}}, title = {{{A novel fuzzy multi-objective circular supplier selection and order allocation model for sustainable closed-loop supply chains}}}, doi = {{10.1016/j.jclepro.2020.124994}}, volume = {{287}}, year = {{2021}}, } @article{53867, author = {{Tavana, Madjid and Shaabani, Akram and Di Caprio, Debora and Amiri, Maghsoud}}, issn = {{2666-4127}}, journal = {{Sustainable Operations and Computers}}, pages = {{149--169}}, publisher = {{Elsevier BV}}, title = {{{An integrated and comprehensive fuzzy multicriteria model for supplier selection in digital supply chains}}}, doi = {{10.1016/j.susoc.2021.07.008}}, volume = {{2}}, year = {{2021}}, } @article{53871, author = {{Ebrahimi, Bohlool and Tavana, Madjid and Charles, Vincent}}, issn = {{1109-2858}}, journal = {{Operational Research}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{A note and new extensions on “interval efficiency measures in data envelopment analysis with imprecise data”}}}, doi = {{10.1007/s12351-019-00524-x}}, year = {{2021}}, } @article{53877, author = {{de Campos, Elaine Aparecida Regiani and Tavana, Madjid and ten Caten, Carla Schwengber and Bouzon, Marina and de Paula, Istefani Carísio}}, issn = {{0944-1344}}, journal = {{Environmental Science and Pollution Research}}, number = {{11}}, pages = {{14156--14176}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{A grey-DEMATEL approach for analyzing factors critical to the implementation of reverse logistics in the pharmaceutical care process}}}, doi = {{10.1007/s11356-020-11138-8}}, volume = {{28}}, year = {{2021}}, } @article{53881, author = {{Aslani, Babak and Rabiee, Meysam and Tavana, Madjid}}, issn = {{2330-2674}}, journal = {{International Journal of Systems Science: Operations & Logistics}}, number = {{4}}, pages = {{348--370}}, publisher = {{Informa UK Limited}}, title = {{{An integrated information fusion and grey multi-criteria decision-making framework for sustainable supplier selection}}}, doi = {{10.1080/23302674.2020.1776414}}, volume = {{8}}, year = {{2021}}, } @article{53878, author = {{Al Hadwer, Ali and Tavana, Madjid and Gillis, Dan and Rezania, Davar}}, issn = {{2542-6605}}, journal = {{Internet of Things}}, publisher = {{Elsevier BV}}, title = {{{A Systematic Review of Organizational Factors Impacting Cloud-based Technology Adoption Using Technology-Organization-Environment Framework}}}, doi = {{10.1016/j.iot.2021.100407}}, volume = {{15}}, year = {{2021}}, } @article{53874, author = {{Rastegar, Mehdi and Tavana, Madjid and Meraj, Afshin and Mina, Hassan}}, issn = {{0264-410X}}, journal = {{Vaccine}}, number = {{3}}, pages = {{495--504}}, publisher = {{Elsevier BV}}, title = {{{An inventory-location optimization model for equitable influenza vaccine distribution in developing countries during the COVID-19 pandemic}}}, doi = {{10.1016/j.vaccine.2020.12.022}}, volume = {{39}}, year = {{2021}}, }