1,747,793 research outputs found
Reproducibility in management science
Get PDFWith the help of more than 700 reviewers, we assess the reproducibility of nearly 500 articles published in the journal Management Science before and after the introduction of a new Data and Code Disclosure policy in 2019. When considering only articles for which data accessibility and hardware and software requirements were not an obstacle for reviewers, the results of more than 95% of articles under the new disclosure policy could be fully or largely computationally reproduced. However, for 29% of articles, at least part of the data set was not accessible to the reviewer. Considering all articles in our sample reduces the share of reproduced articles to 68%. These figures represent a significant increase compared with the period before the introduction of the disclosure policy, where only 12% of articles voluntarily provided replication materials, of which 55% could be (largely) reproduced. Substantial het-erogeneity in reproducibility rates across different fields is mainly driven by differences in data set accessibility. Other reasons for unsuccessful reproduction attempts include missing code, unresolvable code errors, weak or missing documentation, and software and hardware requirements and code complexity. Our findings highlight the importance of journal code and data disclosure policies and suggest potential avenues for enhancing their effectiveness
Reproducibility in Management Science
No full textWith the help of more than 700 reviewers, we assess the reproducibility of nearly 500 articles published in the journal Management Science before and after the introduction of a new Data and Code Disclosure policy in 2019. When considering only articles for which data accessibility and hardware and software requirements were not an obstacle for reviewers, the results of more than 95% of articles under the new disclosure policy could be fully or largely computationally reproduced. However, for 29% of articles, at least part of the data set was not accessible to the reviewer. Considering all articles in our sample reduces the share of reproduced articles to 68%. These figures represent a significant increase compared with the period before the introduction of the disclosure policy, where only 12% of articles voluntarily provided replication materials, of which 55% could be (largely) reproduced. Substantial heterogeneity in reproducibility rates across different fields is mainly driven by differences in data set accessibility. Other reasons for unsuccessful reproduction attempts include missing code, unresolvable code errors, weak or missing documentation, and software and hardware requirements and code complexity. Our findings highlight the importance of journal code and data disclosure policies and suggest potential avenues for enhancing their effectiveness.</p
The Drivers of Citations in Management Science Journals
Get PDFThe number of citations is becoming an increasingly popular index for measuring the impact of a scholar’s research or the quality of an academic department. One obvious question is: what are the factors that influence the number of citations that a paper receives? This study investigates the number of citations received by papers published in six well-known management science journals. It considers factors that relate to the author(s), the article itself, and the journal. The results show that the strongest factor is the journal itself; but other factors are also significant including the length of the paper, the number of references, the status of the first author’s institution, and the type of paper, especially if it is a review. Overall, this study provides some insights into the determinants of a paper’s impact that may be helpful for particular stakeholders to make important decisions
An Introduction to Management Science
No full textThe third edition of this highly-regarded text has been fully updated whilst maintaining the accessible and comprehensive style that makes this text so popular. Packed with diverse realistic examples from Scotland to Saudi Arabia, this truly internationalized version of the landmark text from the Anderson, Sweeney and Williams team provides a complete introduction to the subjects of Management Science and Operations Research
Reengineering Management Science for a Sharper Focus and Broader Appeal
No full textManagement Science is a scholarly journal that publishes scientific research on the practice of management. Therefore, papers published in Management
Science should deal with issues and problems important to managers and executives; they must be interesting to a wide range of people in the management science community; and they should have the potential
to impact management practice
Reproducibility in Management Science
No full textFNEGE 1*, ABS 4*International audienceWith the help of more than 700 reviewers, we assess the reproducibility of nearly 500 articles published in the journal Management Science before and after the introduction of a new Data and Code Disclosure policy in 2019. When considering only articles for which data accessibility and hardware and software requirements were not an obstacle for reviewers, the results of more than 95% of articles under the new disclosure policy could be fully or largely computationally reproduced. However, for 29% of articles, at least part of the data set was not accessible to the reviewer. Considering all articles in our sample reduces the share of reproduced articles to 68%. These figures represent a significant increase compared with the period before the introduction of the disclosure policy, where only 12% of articles voluntarily provided replication materials, of which 55% could be (largely) reproduced. Substantial heterogeneity in reproducibility rates across different fields is mainly driven by differences in data set accessibility. Other reasons for unsuccessful reproduction attempts include missing code, unresolvable code errors, weak or missing documentation, and software and hardware requirements and code complexity. Our findings highlight the importance of journal code and data disclosure policies and suggest potential avenues for enhancing their effectiveness.A complete list of the members of the Management Science Reproducibility Collaboration is included in Online Appendix A
Reproducibility in Management Science
No full text With the help of more than 700 reviewers, we assess the reproducibility of nearly 500 articles published in the journal Management Science before and after the introduction of a new Data and Code Disclosure policy in 2019. When considering only articles for which data accessibility and hardware and software requirements were not an obstacle for reviewers, the results of more than 95% of articles under the new disclosure policy could be fully or largely computationally reproduced. However, for 29% of articles, at least part of the data set was not accessible to the reviewer. Considering all articles in our sample reduces the share of reproduced articles to 68%. These figures represent a significant increase compared with the period before the introduction of the disclosure policy, where only 12% of articles voluntarily provided replication materials, of which 55% could be (largely) reproduced. Substantial heterogeneity in reproducibility rates across different fields is mainly driven by differences in data set accessibility. Other reasons for unsuccessful reproduction attempts include missing code, unresolvable code errors, weak or missing documentation, and software and hardware requirements and code complexity. Our findings highlight the importance of journal code and data disclosure policies and suggest potential avenues for enhancing their effectiveness. This paper was accepted by David Simchi-Levi, behavioral economics and decision analysis–fast track. Supplemental Material: The online appendices and data are available at https://doi.org/10.1287/mnsc.2023.03556 . </jats:p
Computational Management Science, special issue
No full textNumero speciale della rivista Computational Management Science. Guest Editors A. Migdalas, P.M. Pardalos, Gerardo Torald
Essentials of management science: an Islamic Perspective
No full textManagement Science is the applied version of Operations Research (OR), which has its roots in Military Science. Over the last few decades, OR tools have been used extensively in a number of disciplines including Business, Economics, Engineering, Social Sciences, and Public Administration. The area where OR tools applications in Business are discussed is known as Management Science. This scientific branch of Management deals with solving an organization’s quantitative decision-making problems. Making decisions (or, more accurately, good decisions) is an important task for managers. Many of the management decisions involve numerical figures, such as where to locate a new facility which will bring maximum revenue for the company, how to allocate scarce resources among competing departments in an equitable manner, which stock to be used for investment, how to make better forecast for the company’s sales, and how to manage the company’s inventory. In most of these problems managers need to use mathematical models that require numerical inputs. The applications of these models have enabled spectacular success for many organizations – public or private, large or small, all over the world.
This book discusses the commonly used tools in Management Science, e.g., decision tree, linear programming, inventory models, forecasting, transportation, project scheduling, simulation, etc. The techniques described in the book are expected to help managers to make good decisions where numerical quantities are involved. The content of the book is presented in a lucid and straightforward manner so that even an average student can grasp the topics easily. In fact, the primary objective behind writing this text is to enhance readability in Management Science literature
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