@article{53880, author = {{Zare, Habib and Kamali Saraji, Mahyar and Tavana, Madjid and Streimikiene, Dalia and Cavallaro, Fausto}}, issn = {{2071-1050}}, journal = {{Sustainability}}, number = {{22}}, publisher = {{MDPI AG}}, title = {{{An Integrated Fuzzy Goal Programming—Theory of Constraints Model for Production Planning and Optimization}}}, doi = {{10.3390/su132212728}}, volume = {{13}}, year = {{2021}}, } @article{53879, author = {{Kazemi, Sajad and Tavana, Madjid and Toloo, Mehdi and Zenkevich, Nikolay A.}}, issn = {{0399-0559}}, journal = {{RAIRO - Operations Research}}, number = {{1}}, pages = {{213--229}}, publisher = {{EDP Sciences}}, title = {{{A common weights model for investigating efficiency-based leadership in the russian banking industry}}}, doi = {{10.1051/ro/2020143}}, volume = {{55}}, year = {{2021}}, } @article{53875, author = {{Gheisariha, Elmira and Tavana, Madjid and Jolai, Fariborz and Rabiee, Meysam}}, issn = {{0378-4754}}, journal = {{Mathematics and Computers in Simulation}}, pages = {{152--178}}, publisher = {{Elsevier BV}}, title = {{{A simulation–optimization model for solving flexible flow shop scheduling problems with rework and transportation}}}, doi = {{10.1016/j.matcom.2020.08.019}}, volume = {{180}}, year = {{2021}}, } @article{53876, author = {{Khanjani Shiraz, Rashed and Tavana, Madjid and Fukuyama, Hirofumi}}, issn = {{1109-2858}}, journal = {{Operational Research}}, number = {{2}}, pages = {{1255--1277}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{A joint chance-constrained data envelopment analysis model with random output data}}}, doi = {{10.1007/s12351-019-00478-0}}, volume = {{21}}, year = {{2021}}, } @article{53873, author = {{Alavi, Behrouz and Tavana, Madjid and Mina, Hassan}}, issn = {{2352-5509}}, journal = {{Sustainable Production and Consumption}}, pages = {{905--920}}, publisher = {{Elsevier BV}}, title = {{{A Dynamic Decision Support System for Sustainable Supplier Selection in Circular Economy}}}, doi = {{10.1016/j.spc.2021.02.015}}, volume = {{27}}, year = {{2021}}, } @article{53863, author = {{Tavana, Madjid and Nazari-Shirkouhi, Salman and Farzaneh Kholghabad, Hamidreza}}, issn = {{1386-9620}}, journal = {{Health Care Management Science}}, number = {{4}}, pages = {{768--785}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{An integrated quality and resilience engineering framework in healthcare with Z-number data envelopment analysis}}}, doi = {{10.1007/s10729-021-09550-8}}, volume = {{24}}, year = {{2021}}, } @article{53862, author = {{Tavana, Madjid and Shaabani, Akram and Valaei, Naser}}, issn = {{0265-671X}}, journal = {{International Journal of Quality & Reliability Management}}, number = {{1}}, pages = {{116--146}}, publisher = {{Emerald}}, title = {{{An integrated fuzzy framework for analyzing barriers to the implementation of continuous improvement in manufacturing}}}, doi = {{10.1108/ijqrm-06-2019-0196}}, volume = {{38}}, year = {{2021}}, } @article{53883, author = {{Soares, Gabriela Pereira and Tortorella, Guilherme and Bouzon, Marina and Tavana, Madjid}}, issn = {{2040-4166}}, journal = {{International Journal of Lean Six Sigma}}, number = {{5}}, pages = {{1017--1045}}, publisher = {{Emerald}}, title = {{{A fuzzy maturity-based method for lean supply chain management assessment}}}, doi = {{10.1108/ijlss-08-2020-0123}}, volume = {{12}}, year = {{2021}}, } @article{53861, author = {{Tavana, Madjid and Toloo, Mehdi and Aghayi, Nazila and Arabmaldar, Aliasghar}}, issn = {{0957-4174}}, journal = {{Expert Systems with Applications}}, publisher = {{Elsevier BV}}, title = {{{A robust cross-efficiency data envelopment analysis model with undesirable outputs}}}, doi = {{10.1016/j.eswa.2020.114117}}, volume = {{167}}, year = {{2021}}, } @article{53882, author = {{Mancini, Daniela and Lombardi, Rosa and Tavana, Madjid}}, issn = {{2049-372X}}, journal = {{Meditari Accountancy Research}}, number = {{5}}, pages = {{1041--1062}}, publisher = {{Emerald}}, title = {{{Four research pathways for understanding the role of smart technologies in accounting}}}, doi = {{10.1108/medar-03-2021-1258}}, volume = {{29}}, year = {{2021}}, } @article{53964, author = {{Tavana, Madjid and Izadikhah, Mohammad and Toloo, Mehdi and Roostaee, Razieh}}, issn = {{0305-0483}}, journal = {{Omega}}, publisher = {{Elsevier BV}}, title = {{{A new non-radial directional distance model for data envelopment analysis problems with negative and flexible measures}}}, doi = {{10.1016/j.omega.2020.102355}}, volume = {{102}}, year = {{2021}}, } @article{54181, author = {{Tavana, Madjid and Govindan, Kannan and Nasr, Arash Khalili and Heidary, Mohammad Saeed and Mina, Hassan}}, issn = {{0254-5330}}, journal = {{Annals of Operations Research}}, publisher = {{Springer Science and Business Media LLC}}, title = {{{A mathematical programming approach for equitable COVID-19 vaccine distribution in developing countries}}}, doi = {{10.1007/s10479-021-04130-z}}, year = {{2021}}, } @article{54191, author = {{Amoozad Mahdiraji, Hannan and Tavana, Madjid and Mahdiani, Pouya and Abbasi Kamardi, Ali Asghar}}, issn = {{1463-5771}}, journal = {{Benchmarking: An International Journal}}, number = {{2}}, pages = {{456--495}}, publisher = {{Emerald}}, title = {{{A multi-attribute data mining model for rule extraction and service operations benchmarking}}}, doi = {{10.1108/bij-03-2021-0127}}, volume = {{29}}, year = {{2021}}, } @techreport{17019, abstract = {{The scientific impact of research papers is multi-dimensional and can be determined quantitatively by means of citation analysis and qualitatively by means of content analysis. Accounting for the widely acknowledged limitations of pure citation analysis, we adopt a knowledge-based perspective on scientific impact to develop a methodology for content-based citation analysis which allows determining how papers have enabled knowledge development in subsequent research (knowledge impact). As knowledge development differs between research genres, we develop a new knowledgebased citation analysis methodology for the genre of standalone literature reviews (LRs). We apply the suggested methodology to the IS business value domain by manually coding 22 LRs and 1,228 citing papers (CPs) and show that the results challenge the assumption that citations indicate knowledge impact. We derive implications for distinguishing knowledge impact from citation impact in the LR genre. Finally, we develop recommendations for authors of LRs, scientific evaluation committees and editorial boards of journals how to apply and benefit from the suggested methodology, and we discuss its efficiency and automatization.}}, author = {{Schryen, Guido and Wagner, Gerit and Benlian, Alexander}}, keywords = {{Scientific impact, knowledge impact, content-based citation analysis, methodology}}, title = {{{Distinguishing Knowledge Impact from Citation Impact: A Methodology for Analysing Knowledge Impact for the Literature Review Genre}}}, year = {{2020}}, } @inproceedings{17055, abstract = {{Understanding a new literature corpus can be a grueling experience for junior scholars. Nevertheless, corresponding guidelines have not been updated for decades. We contend that the traditional strategy of skimming all papers and reading selected papers afterwards needs to be revised. Therefore, we design a new strategy that guides the overall exploratory process by prioritizing influential papers for initial reading, followed by skimming the remaining papers. Consistent with schemata theory, starting with in-depth reading allows readers to acquire more substantial prior content schemata, which are representa-tive for the literature corpus and useful in the following skimming process. To this end, we develop a prototype that identifies the influential papers from a set of PDFs, which is illustrated in a case study in the IT business value domain. With the new strategy, we envision a more efficient process of exploring unknown literature corpora.}}, author = {{Wagner, Gerit and Empl, Philipp and Schryen, Guido}}, booktitle = {{28th European Conference on Information Systems (ECIS 2020)}}, keywords = {{Reading and skimming, Exploring literature, Review methodology, Design science research, Schemata theory}}, location = {{Marrakesh, Morocco}}, title = {{{Designing a Novel Strategy for Exploring Literature Corpora}}}, year = {{2020}}, } @article{15414, author = {{Schryen, Guido}}, journal = {{Communications of the ACM}}, number = {{9}}, pages = {{35 -- 37}}, title = {{{Integrating Management Science into the HPC Research Ecosystem}}}, volume = {{63}}, year = {{2020}}, } @article{15513, abstract = {{This interview is part of the special issue (01/2020) on “High Performance Business Computing” to be published in the journal Business & Information Systems Engineering. The interviewee Utz-Uwe Haus is Senior Research Engineer @ CRAY European Research Lab (CERL)). A bio of him is included at the end of the interview.}}, author = {{Schryen, Guido and Kliewer, Natalia and Fink, Andreas}}, journal = {{Business & Information Systems Engineering}}, number = {{01/2020}}, pages = {{21 -- 23}}, title = {{{Interview with Utz-Uwe Haus on “High Performance Computing in Economic Environments: Opportunities and Challenges"}}}, volume = {{62}}, year = {{2020}}, } @article{15022, author = {{Schryen, Guido}}, journal = {{European Journal of Operational Research}}, number = {{1}}, pages = {{1 -- 18}}, publisher = {{Elsevier}}, title = {{{Parallel computational optimization in operations research: A new integrative framework, literature review and research directions}}}, volume = {{287}}, year = {{2020}}, } @article{16249, abstract = {{Timing plays a crucial role in the context of information security investments. We regard timing in two dimensions, namely the time of announcement in relation to the time of investment and the time of announcement in relation to the time of a fundamental security incident. The financial value of information security investments is assessed by examining the relationship between the investment announcements and their stock market reaction focusing on the two time dimensions. Using an event study methodology, we found that both dimensions influence the stock market return of the investing organization. Our results indicate that (1) after fundamental security incidents in a given industry, the stock price will react more positively to a firm’s announcement of actual information security investments than to announcements of the intention to invest; (2) the stock price will react more positively to a firm’s announcements of the intention to invest after the fundamental security incident compared to before; and (3) the stock price will react more positively to a firm’s announcements of actual information security investments after the fundamental security incident compared to before. Overall, the lowest abnormal return can be expected when the intention to invest is announced before a fundamental information security incident and the highest return when actual investing after a fundamental information security incident in the respective industry.}}, author = {{Szubartowicz, Eva and Schryen, Guido}}, journal = {{Journal of Information System Security}}, keywords = {{Event Study, Information Security, Investment Announcements, Stock Price Reaction, Value of Information Security Investments}}, number = {{1}}, pages = {{3 -- 31}}, publisher = {{Information Institute Publishing, Washington DC, USA}}, title = {{{Timing in Information Security: An Event Study on the Impact of Information Security Investment Announcements}}}, volume = {{16}}, year = {{2020}}, } @article{11946, abstract = {{Literature reviews (LRs) play an important role in the development of domain knowledge in all fields. Yet, we observe a lack of insights into the activities with which LRs actually develop knowledge. To address this important gap, we (1) derive knowledge building activities from the extant literature on LRs, (2) suggest a knowledge-based typology of LRs that complements existing typologies, and (3) apply the suggested typology in an empirical study that explores how LRs with different goals and methodologies have contributed to knowledge development. The analysis of 240 LRs published in 40 renowned IS journals between 2000 and 2014 allows us to draw a detailed picture of knowledge development achieved by one of the most important genres in the IS field. An overarching contribution of our work is to unify extant conceptualizations of LRs by clarifying and illustrating how LRs apply different methodologies in a range of knowledge building activities to achieve their goals with respect to theory.}}, author = {{Schryen, Guido and Wagner, Gerit and Benlian, Alexander and Paré, Guy}}, issn = {{ 1529-3181}}, journal = {{Communications of the AIS}}, keywords = {{Literature review, knowledge development, knowledge building activities, knowledge-based typology, information systems research}}, pages = {{134--186}}, title = {{{A Knowledge Development Perspective on Literature Reviews: Validation of a New Typology in the IS Field}}}, doi = {{10.17705/1CAIS.04607}}, volume = {{46}}, year = {{2020}}, }