We consider the well-known optimal decomposition algorithm for the tardiness problem. The algorithm presents conditions which determine the positions a job could occupy in an optimal sequence. This resulted in optimal solutions for up to 100 jobs. We analyze these conditions and present simplified conditions. We then study a more recent Rule which when combined with these conditions resulted in optimal solutions for up to 500 jobs. We present several properties under which this recent rule is satisfied. We provide mathematical proofs for our properties. We believe that our study will enable more theoretical research in this field and will eventually enable optimal solutions for very large job sets.
{"title":"Some Properties of the Optimal Decomposition Conditions for the Single Machine Tardiness Problem","authors":"Jaideep T. Naidu","doi":"10.33423/ajm.v24i2.7107","DOIUrl":"https://doi.org/10.33423/ajm.v24i2.7107","url":null,"abstract":"We consider the well-known optimal decomposition algorithm for the tardiness problem. The algorithm presents conditions which determine the positions a job could occupy in an optimal sequence. This resulted in optimal solutions for up to 100 jobs. We analyze these conditions and present simplified conditions. We then study a more recent Rule which when combined with these conditions resulted in optimal solutions for up to 500 jobs. We present several properties under which this recent rule is satisfied. We provide mathematical proofs for our properties. We believe that our study will enable more theoretical research in this field and will eventually enable optimal solutions for very large job sets.","PeriodicalId":512571,"journal":{"name":"American Journal of Management","volume":"124 32","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141820774","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Federal law expanded civil rights and equal opportunity to all employees. Major U.S. employers have embraced the expansion by using affirmative action plans and diversity, equity, and inclusion policies. Concerns raised by a more conservative Supreme Court and its reversal of affirmative action in higher education, the recent enactment of regressive state laws aimed to diminish the rights of the LGBTQ+ community and invalidate affirmative action and DEI efforts should not be allowed to discourage the progress made. Employers can and should stay the course of expanded civil rights and equal opportunity in the workplace for all firm employees.
联邦法律将公民权利和平等机会扩展至所有雇员。美国的主要雇主通过实施平权行动计划以及多样性、公平和包容政策来接受这一扩展。最高法院更加保守，推翻了高等教育中的平权法案，最近又颁布了旨在削弱 LGBTQ+ 群体权利的倒退性州立法律，并宣布平权法案和 DEI 的努力无效，这些都引起了人们的担忧，但我们不能因此而放弃已经取得的进步。雇主可以而且应该坚持为所有公司员工扩大公民权利和工作场所的平等机会。
{"title":"Managing in a Regressive Legal Environment: Employers Need to Stay the Course of Nondiscrimination","authors":"Michael T. Zugelder","doi":"10.33423/ajm.v24i2.7106","DOIUrl":"https://doi.org/10.33423/ajm.v24i2.7106","url":null,"abstract":"Federal law expanded civil rights and equal opportunity to all employees. Major U.S. employers have embraced the expansion by using affirmative action plans and diversity, equity, and inclusion policies. Concerns raised by a more conservative Supreme Court and its reversal of affirmative action in higher education, the recent enactment of regressive state laws aimed to diminish the rights of the LGBTQ+ community and invalidate affirmative action and DEI efforts should not be allowed to discourage the progress made. Employers can and should stay the course of expanded civil rights and equal opportunity in the workplace for all firm employees.","PeriodicalId":512571,"journal":{"name":"American Journal of Management","volume":"125 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141820771","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carbon offsets and renewable energy certificates (RECs) are widely used instruments that help firms mitigate their greenhouse gas emissions (GHG). This paper investigates which internal firm characteristics are associated with investments in carbon offsets or RECs and how these purchases impact firms’ performance. Based on data from publicly traded firms in North America and Europe from 2012-2022, this paper uses a propensity score matching approach to analyze the effects of these investments on firms’ environmental scores, GHG emissions, and financial performance. Additionally, this paper employs an instrumental variable approach to examine whether board gender diversity increases carbon offset or REC purchases. The findings reveal that firms that purchase carbon offsets or RECs face higher environmental scores and higher GHG emissions, suggesting corporate greenwashing behavior. This paper also demonstrates that these purchases lead to higher sales, profitability, and assets, but lower Tobin’s Q for REC buyers. Lastly, this paper finds that a greater presence of women on the board does not lead to greater purchases of carbon offsets or RECs.
{"title":"Greenwashing or Going Green? An Empirical Analysis of the Drivers and the Effects of Carbon Offsets and Renewable Energy Certificates on Firm Performance","authors":"Maria Hatalis","doi":"10.33423/ajm.v24i2.7108","DOIUrl":"https://doi.org/10.33423/ajm.v24i2.7108","url":null,"abstract":"Carbon offsets and renewable energy certificates (RECs) are widely used instruments that help firms mitigate their greenhouse gas emissions (GHG). This paper investigates which internal firm characteristics are associated with investments in carbon offsets or RECs and how these purchases impact firms’ performance. Based on data from publicly traded firms in North America and Europe from 2012-2022, this paper uses a propensity score matching approach to analyze the effects of these investments on firms’ environmental scores, GHG emissions, and financial performance. Additionally, this paper employs an instrumental variable approach to examine whether board gender diversity increases carbon offset or REC purchases. The findings reveal that firms that purchase carbon offsets or RECs face higher environmental scores and higher GHG emissions, suggesting corporate greenwashing behavior. This paper also demonstrates that these purchases lead to higher sales, profitability, and assets, but lower Tobin’s Q for REC buyers. Lastly, this paper finds that a greater presence of women on the board does not lead to greater purchases of carbon offsets or RECs.","PeriodicalId":512571,"journal":{"name":"American Journal of Management","volume":" 1284","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141823077","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
George Kurian, Ziyi Niu, Kuldeep Singh, Prathamesh Muzumdar
The dynamic capability view (DCV) has gained attraction in many areas of business administration. This article aims to analyze the evolution of the dynamic capability view (DCV) theory within the operations and supply chain field. In this article, we use author co-citation, term co-occurrence, and topic modeling techniques to uncover the evolution of DCV in operations and supply chain management areas. The analysis was performed on 166 peer-reviewed articles from the top four operations management (OM) journals. The study finds the prominent authors co-cited together along with the representative topics in these papers. Furthermore, newer topics, such as supply chain resilience and dynamic-based capabilities, such as data analytics capabilities, are gaining prominence. Finally, the future research agenda is discussed along with the limitations of the paper.
{"title":"The Evolution of Dynamic Capabilities in OM","authors":"George Kurian, Ziyi Niu, Kuldeep Singh, Prathamesh Muzumdar","doi":"10.33423/ajm.v23i5.6722","DOIUrl":"https://doi.org/10.33423/ajm.v23i5.6722","url":null,"abstract":"The dynamic capability view (DCV) has gained attraction in many areas of business administration. This article aims to analyze the evolution of the dynamic capability view (DCV) theory within the operations and supply chain field. In this article, we use author co-citation, term co-occurrence, and topic modeling techniques to uncover the evolution of DCV in operations and supply chain management areas. The analysis was performed on 166 peer-reviewed articles from the top four operations management (OM) journals. The study finds the prominent authors co-cited together along with the representative topics in these papers. Furthermore, newer topics, such as supply chain resilience and dynamic-based capabilities, such as data analytics capabilities, are gaining prominence. Finally, the future research agenda is discussed along with the limitations of the paper.","PeriodicalId":512571,"journal":{"name":"American Journal of Management","volume":"30 3","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139535005","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：