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The purpose of the journal is to publish high-impact manuscripts that report relevant research on important problems in operations management (OM). The field of OM is the study of the innovative or traditional processes for the design, procurement, production, delivery, and recovery of goods and services. OM research entails the control, planning, design, and improvement of these processes. This research can be prescriptive, descriptive, or predictive; however, the intent of the research is ultimately to develop some form of enduring knowledge that can lead to more efficient or effective processes for the creation and delivery of goods and services. M&SOM encourages a variety of methodological approaches to OM research; papers may be theoretical or empirical, analytical or computational, and may be based on a range of established research disciplines. M&SOM encourages contributions in OM across the full spectrum of decision making: strategic, tactical, and operational. 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This may extend the useful life of stable subsystems, reducing production and disposal impact. However, this argument ignores the effect of modular upgradability on a firm's development and introduction decisions and the environmental impact during the use phase. In this paper, we investigate when modular upgradability leads to lower environmental impact and higher profits. We do so by endogenizing a firm's development and introduction decisions and considering the product's environmental impact during its entire life cycle. Our results show that although modular upgradability may accelerate the replacement of some subsystems, it delays the replacement of others. We find that modular upgradability can increase the environmental impact for some product categories due to accelerated obsolescence arising from more frequent introduction and replacement. However, we also find that accelerated obsolescence, under some conditions, can actually make modular upgradability greener. \u003C\u002Fjats:p>","\u003Cjats:p> Khả năng nâng cấp mô đun đã được đề xuất như một chiến lược nhằm cải thiện hiệu suất môi trường: khi công nghệ tiến bộ, nó cho phép thay thế độc lập các hệ thống con đang cải tiến, thay vì phải thay thế toàn bộ sản phẩm. Điều này có thể kéo dài thời gian sử dụng hữu ích của các hệ thống con ổn định, giảm thiểu tác động từ sản xuất và tiêu hủy. Tuy nhiên, lập luận này bỏ qua tác động của khả năng nâng cấp mô đun đối với các quyết định phát triển và giới thiệu của một công ty, cũng như tác động môi trường trong giai đoạn sử dụng. Trong bài báo này, chúng tôi xác định khi nào khả năng nâng cấp mô đun dẫn đến tác động môi trường thấp hơn và lợi nhuận cao hơn. Chúng tôi thực hiện điều này bằng cách nội sinh hóa các quyết định phát triển và giới thiệu của công ty và xem xét tác động môi trường của sản phẩm trong toàn bộ vòng đời của nó. Kết quả của chúng tôi cho thấy rằng, mặc dù khả năng nâng cấp mô đun có thể thúc đẩy việc thay thế một số hệ thống con, nhưng nó lại trì hoãn việc thay thế các hệ thống con khác. Chúng tôi nhận thấy rằng khả năng nâng cấp mô đun có thể tăng tác động môi trường đối với một số danh mục sản phẩm do sự lạc hậu nhanh chóng phát sinh từ việc giới thiệu và thay thế thường xuyên hơn. Tuy nhiên, chúng tôi cũng phát hiện ra rằng sự lạc hậu nhanh chóng, trong một số điều kiện, có thể thực sự làm cho khả năng nâng cấp mô đun trở nên thân thiện hơn với môi trường. \u003C\u002Fjats:p>",{"EN":129,"VI":130},"The Role of Modular Upgradability as a Green Design Strategy","Vai trò của khả năng nâng cấp mô đun như một chiến lược thiết kế xanh",{"VOID":132},"10.1287\u002Fmsom.1120.0396","PUBLICATION","VERIFIED","Auto 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Working paper, Iowa State University, Ames.",{},{"id":24,"text":306,"url":24,"identifiers":307},"Newcomb PJ, 1996, Proc. 1996 ASME Design Engrg. Tech. Conf. Comput. Engrg. Conf., 1",{},{"id":24,"text":309,"url":24,"identifiers":310},"Plambeck EL, 2008, Stanford Soc. Innovation Rev., 6",{},{"id":24,"text":312,"url":24,"identifiers":313},"10.1287\u002Fmnsc.1080.0970",{"doi":312},{"id":24,"text":315,"url":24,"identifiers":316},"10.1287\u002Fmsom.1060.0143",{"doi":315},{"id":24,"text":318,"url":24,"identifiers":319},"Slade G, 2006, Made to Break: Technology and Obsolescence in America",{},{"id":24,"text":321,"url":24,"identifiers":322},"Subramanian R, 2012, Production Oper. Management",{},{"id":24,"text":324,"url":24,"identifiers":325},"10.1111\u002Fj.1937-5956.2010.01136.x",{"doi":324},{"id":24,"text":327,"url":24,"identifiers":328},"10.1016\u002F0048-7333(94)00775-3",{"doi":327},{"id":24,"text":330,"url":24,"identifiers":331},"Whitney DE, 2004, Mechanical Assemblies: Their Design, Manufacture, and Role in Product Development",{},{"id":24,"text":333,"url":24,"identifiers":334},"Williams E, 2004, Computers and the Environment: Understanding and Managing Their Impacts, 14, 41, 10.1007\u002F978-94-010-0033-8_3",{"doi":335},"10.1007\u002F978-94-010-0033-8_3",false,{"id":338,"createTime":339,"updateTime":339,"relativeEntities":340,"slug":341,"properties":342,"entityType":133,"verifyStatus":134,"verifyTime":339,"verifyNote":135,"languages":353,"translateLanguages":24,"viewCount":25,"primaryUrl":354,"fullTextUrl":24,"authors":355,"publicationType":183,"publisherRelationship":410,"citationCount":466,"citationInfo":467,"publishDate":480,"publishYear":468,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":481,"openAccess":24,"references":482,"isForceReanalyzing":336},"07bdf9f8-55d7-4ae7-a00e-0b04bad2eddb","2025-02-11T10:04:56.838+00:00",[],"Designing-a-Call-Center-with-Impatient-Customers",{"openalex":343,"mag":345,"abstract":347,"title":349,"doi":351},{"VOID":344},"W1995245183",{"VOID":346},"1995245183",{"EN":348},"\u003Cjats:p> The most common model to support workforce management of telephone call centers is the M\u002FM\u002FN\u002FB model, in particular its special cases M\u002FM\u002FN (Erlang C, which models out busy signals) and M\u002FM\u002FN\u002FN (Erlang B, disallowing waiting). All of these models lack a central prevalent feature, namely, that impatient customers might decide to leave (abandon) before their service begins. \u003C\u002Fjats:p>\u003Cjats:p> In this paper, we analyze the simplest abandonment model, in which customers' patience is exponentially distributed and the system's waiting capacity is unlimited (M\u002FM\u002FN + M). Such a model is both rich and analyzable enough to provide information that is practically important for call-center managers. We first outline a method for exact analysis of the M\u002FM\u002FN + M model, that while numerically tractable is not very insightful. We then proceed with an asymptotic analysis of the M\u002FM\u002FN + M model, in a regime that is appropriate for large call centers (many agents, high efficiency, high service level). Guided by the asymptotic behavior, we derive approximations for performance measures and propose “rules of thumb” for the design of large call centers. We thus add support to the growing acknowledgment that insights from diffusion approximations are directly applicable to management practice. \u003C\u002Fjats:p>",{"EN":350},"Designing a Call Center with Impatient Customers",{"VOID":352},"10.1287\u002Fmsom.4.3.208.7753",[137],"https:\u002F\u002Fpubsonline.informs.org\u002Fdoi\u002F10.1287\u002Fmsom.4.3.208.7753",[356,373,390],{"id":357,"sortIndex":25,"researcher":24,"roles":358,"affiliations":359,"properties":368,"displayName":370,"givenName":24,"familyName":24},"333c3ad6-e0ab-4370-a20b-a408cbfaf144",[],[360],{"id":361,"sortIndex":25,"affiliation":362,"properties":24},"ab3b145a-7597-41c6-8515-99080d3d4ee6",{"id":361,"createTime":24,"updateTime":24,"relativeEntities":363,"slug":24,"properties":364,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":367,"statistic":24},[],{"title":365},{"VI":366},"Davidson Faculty of Industrial Engineering and Management, Technion, Haifa 32000, Israel",[],{"title":369,"openalex":371},{"EN":370},"Ofer Garnett",{"VOID":372},"A5021181555",{"id":374,"sortIndex":165,"researcher":24,"roles":375,"affiliations":376,"properties":383,"displayName":387,"givenName":24,"familyName":24},"16e4ce2a-33fc-4a8c-8ba6-b8b7ea9d6d5d",[],[377],{"id":361,"sortIndex":25,"affiliation":378,"properties":24},{"id":361,"createTime":24,"updateTime":24,"relativeEntities":379,"slug":24,"properties":380,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":382,"statistic":24},[],{"title":381},{"VI":366},[],{"orcid":384,"title":386,"openalex":388},{"VOID":385},"https:\u002F\u002Forcid.org\u002F0000-0001-6547-802X",{"EN":387},"Avishai Mandelbaum",{"VOID":389},"A5064921321",{"id":391,"sortIndex":392,"researcher":24,"roles":393,"affiliations":394,"properties":403,"displayName":407,"givenName":24,"familyName":24},"d678f786-f774-4816-8ad7-f84850c82c2b",2,[],[395],{"id":396,"sortIndex":25,"affiliation":397,"properties":24},"61dfac3e-4071-4bcc-9187-d07f3610e084",{"id":396,"createTime":24,"updateTime":24,"relativeEntities":398,"slug":24,"properties":399,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":402,"statistic":24},[],{"title":400},{"EN":401},"BELL LABORATORIES MURRAY HILL , NEW JERSEY, 07974",[],{"orcid":404,"title":406,"openalex":408},{"VOID":405},"https:\u002F\u002Forcid.org\u002F0000-0003-4919-2894",{"EN":407},"Martin I. 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Conf.",{},{"id":24,"text":541,"url":24,"identifiers":542},"10.1214\u002Faoap\u002F1177005506",{"doi":541},{"id":24,"text":544,"url":24,"identifiers":545},"Palm C., 1937, Ericsson Technics, 5, 37",{},{"id":24,"text":547,"url":24,"identifiers":548},"Palm C., 1943, Ericsson Technics, 44, 1",{},{"id":24,"text":550,"url":24,"identifiers":551},"Palm C., 1953, Tele, 4, 189",{},{"id":24,"text":553,"url":24,"identifiers":554},"10.1287\u002Fmoor.19.4.946",{"doi":553},{"id":24,"text":556,"url":24,"identifiers":557},"Riordan J., 1962, Stochastic Service Systems",{},{"id":24,"text":559,"url":24,"identifiers":560},"10.1215\u002Fijm\u002F1255645101",{"doi":559},{"id":24,"text":562,"url":24,"identifiers":563},"10.1287\u002Fopre.32.2.229",{"doi":562},{"id":24,"text":565,"url":24,"identifiers":566},"10.1287\u002Fmnsc.38.5.708",{"doi":565},{"id":568,"createTime":569,"updateTime":569,"relativeEntities":570,"slug":571,"properties":572,"entityType":133,"verifyStatus":134,"verifyTime":569,"verifyNote":135,"languages":583,"translateLanguages":24,"viewCount":25,"primaryUrl":584,"fullTextUrl":24,"authors":585,"publicationType":183,"publisherRelationship":622,"citationCount":678,"citationInfo":679,"publishDate":691,"publishYear":680,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":692,"openAccess":24,"references":693,"isForceReanalyzing":336},"43a9ded3-6df9-4fc9-b8dc-4275ecb8eac9","2025-02-11T10:04:21.613+00:00",[],"Patient-Choice-in-Kidney-Allocation-The-Role-of-the-Queueing-Discipline",{"openalex":573,"mag":575,"abstract":577,"title":579,"doi":581},{"VOID":574},"W1971030732",{"VOID":576},"1971030732",{"EN":578},"\u003Cjats:p> This paper develops and analyzes a queueing model to examine the role of patient choice on the high rate of organ refusals in the kidney transplant waiting system. The model is an M\u002FM\u002F1 queue with homogeneous patients and exponential reneging. Patients join the waiting system and organ transplants are reflected by the service process. In addition, unlike the standard M\u002FM\u002F1 model, each service instance is associated with a variable reward that reflects the quality of the transplant organ, and patients have the option to refuse an organ (service) offer if they expect future offers to be better. Under an assumption of perfect and complete information, it is demonstrated that the queueing discipline is a potent instrument that can be used to maximize social welfare. In particular, first-come-first-serve (FCFS) amplifies patients' desire to refuse offers of marginal quality, and generates excessive organ wastage. By contrast, last-come-first-serve (LCFS) contains the inefficiencies engendered by patient choice and achieves optimal organ utilization. A numerical example calibrated using data from the U.S. transplantation system demonstrates that the welfare improvements possible from a better control of patient choice are equivalent to a 25% increase in the supply of organs. \u003C\u002Fjats:p>",{"EN":580},"Patient Choice in Kidney Allocation: The Role of the Queueing Discipline",{"VOID":582},"10.1287\u002Fmsom.1040.0056",[137],"https:\u002F\u002Fpubsonline.informs.org\u002Fdoi\u002F10.1287\u002Fmsom.1040.0056",[586,605],{"id":587,"sortIndex":25,"researcher":24,"roles":588,"affiliations":589,"properties":598,"displayName":602,"givenName":24,"familyName":24},"0f0144b9-057f-45d2-abba-01329a61cb81",[],[590],{"id":591,"sortIndex":25,"affiliation":592,"properties":24},"646f8ae5-20f7-451d-aabe-bf35e6970051",{"id":591,"createTime":24,"updateTime":24,"relativeEntities":593,"slug":24,"properties":594,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":597,"statistic":24},[],{"title":595},{"EN":596},"Walter A. 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G., 2000, Handbook of Health Economics, 1",{},{"id":24,"text":707,"url":24,"identifiers":708},"10.1002\u002F(SICI)1099-1050(199703)6:2\u003C187::AID-HEC259>3.0.CO;2-W",{"doi":707},{"id":24,"text":710,"url":24,"identifiers":711},"Fudenberg D., 1990, Game Theory",{},{"id":24,"text":713,"url":24,"identifiers":714},"10.1287\u002Fopre.49.5.720.10605",{"doi":713},{"id":24,"text":716,"url":24,"identifiers":717},"Gibbons R., 1992, Game Theory for Applied Economists",{},{"id":24,"text":719,"url":24,"identifiers":720},"Goddard J., 1994, Setting Priorities in Health Care, 71",{},{"id":24,"text":722,"url":24,"identifiers":723},"10.1002\u002Fhec.4730040105",{"doi":722},{"id":24,"text":725,"url":24,"identifiers":726},"10.2307\u002F1911731",{"doi":725},{"id":24,"text":728,"url":24,"identifiers":729},"10.1177\u002F02729890122062550",{"doi":728},{"id":24,"text":731,"url":24,"identifiers":732},"10.1016\u002FS0167-6296(96)00518-8",{"doi":731},{"id":24,"text":734,"url":24,"identifiers":735},"10.1287\u002Fmnsc.33.3.395",{"doi":734},{"id":24,"text":737,"url":24,"identifiers":738},"10.1287\u002Fopre.35.6.895",{"doi":737},{"id":24,"text":740,"url":24,"identifiers":741},"10.1287\u002Fopre.25.2.233",{"doi":740},{"id":24,"text":743,"url":24,"identifiers":744},"10.1145\u002F3166.3171",{"doi":743},{"id":24,"text":746,"url":24,"identifiers":747},"10.1287\u002Fopre.38.5.870",{"doi":746},{"id":24,"text":749,"url":24,"identifiers":750},"10.2307\u002F1909200",{"doi":749},{"id":24,"text":752,"url":24,"identifiers":753},"10.1056\u002FNEJM199805143382006",{"doi":752},{"id":24,"text":755,"url":24,"identifiers":756},"10.1002\u002F9780470316887",{"doi":755},{"id":24,"text":758,"url":24,"identifiers":759},"10.1016\u002FS0165-1889(00)00025-7",{"doi":758},{"id":24,"text":761,"url":24,"identifiers":762},"10.1287\u002Fmnsc.24.15.1598",{"doi":761},{"id":24,"text":764,"url":24,"identifiers":765},"Su X. Essays on patient choice.  (2004) . Doctoral dissertation, Graduate School of Business, Stanford University, Stanford, CA",{},{"id":24,"text":767,"url":24,"identifiers":768},"Su X., 2004, Oper. 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It is known that, when quality is exogenous, encroachment could make the retailer better off. Yet, when quality is endogenous and the manufacturer has enough flexibility in adjusting quality, we find that encroachment always makes the retailer worse off in a large variety of scenarios. We also establish that, while a higher manufacturer’s cost of quality hurts the retailer in absence of encroachment, it could benefit the retailer with encroachment. In addition, we show that a manufacturer offering differentiated products through two channels prefers to sell its high-quality product through the direct channel. Contrary to conventional wisdom, quality differentiation does not always benefit either manufacturer or retailer. Our results may explain why, despite extant theoretical predictions, retailers almost always resent encroachment. These findings also suggest that firms must be cautious when adopting quality differentiation as a strategy to ease channel conflict caused by encroachment. \u003C\u002Fjats:p>",{"EN":812},"Quality in Supply Chain Encroachment",{"VOID":814},"10.1287\u002Fmsom.2015.0562",[137],"https:\u002F\u002Fpubsonline.informs.org\u002Fdoi\u002F10.1287\u002Fmsom.2015.0562",[818,837,854],{"id":819,"sortIndex":25,"researcher":24,"roles":820,"affiliations":821,"properties":830,"displayName":834,"givenName":24,"familyName":24},"4bb88cac-920d-469a-8979-060e24e002e1",[],[822],{"id":823,"sortIndex":25,"affiliation":824,"properties":24},"6907a2b5-155f-4ec9-96b6-a1da4ba4f234",{"id":823,"createTime":24,"updateTime":24,"relativeEntities":825,"slug":24,"properties":826,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":829,"statistic":24},[],{"title":827},{"VI":828},"School of Business and Management, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong",[],{"orcid":831,"title":833,"openalex":835},{"VOID":832},"https:\u002F\u002Forcid.org\u002F0000-0003-2345-0381",{"EN":834},"Albert Y. 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We consider different statistical models for the call arrival process in telephone call centers. We evaluate the forecasting accuracy of those models by describing results from an empirical study analyzing real-life call center data. We test forecasting accuracy using different lead times, ranging from weeks to hours in advance, to mimic real-life challenges faced by call center managers. The models considered are (i) a benchmark fixed-effects model that does not exploit any dependence structures in the data; (ii) a mixed-effects model that takes into account both interday (day-to-day) and intraday (within-day) correlations; and (iii) two new bivariate mixed-effects models, for the joint distribution of the arrival counts to two separate queues, that exploit correlations between different call types. Our study shows the importance of accounting for different correlation structures in the data. \u003C\u002Fjats:p>","\u003Cjats:p> Chúng tôi xem xét các mô hình thống kê khác nhau cho quá trình đến cuộc gọi tại các trung tâm gọi điện. Chúng tôi đánh giá độ chính xác dự đoán của những mô hình này bằng cách mô tả kết quả từ một nghiên cứu thực nghiệm phân tích dữ liệu trung tâm gọi điện thực tế. Chúng tôi kiểm tra độ chính xác dự đoán bằng cách sử dụng các khoảng thời gian trước khác nhau, từ vài tuần đến vài giờ trước, để mô phỏng các thách thức thực tế mà các quản lý trung tâm gọi điện phải đối mặt. Các mô hình được xem xét bao gồm (i) một mô hình hiệu ứng cố định chuẩn không khai thác bất kỳ cấu trúc phụ thuộc nào trong dữ liệu; (ii) một mô hình hiệu ứng pha trộn xem xét cả mối tương quan giữa các ngày (ngày này so với ngày khác) và trong ngày (ngày đó); và (iii) hai mô hình hiệu ứng pha trộn hai biến mới, cho phân phối chung của các số lượng đến hai hàng đợi riêng biệt, khai thác các mối tương quan giữa các loại cuộc gọi khác nhau. Nghiên cứu của chúng tôi cho thấy tầm quan trọng của việc xem xét các cấu trúc tương quan khác nhau trong dữ liệu. \u003C\u002Fjats:p>",{"EN":1047,"VI":1048},"Forecasting Call Center Arrivals: Fixed-Effects, Mixed-Effects, and Bivariate Models","Dự đoán Sự đến của Gọi Điện tại Trung Tâm Gọi: Mô Hình Hiệu Ứng Cố Định, Hiệu Ứng Pha Trộn và Hai Biến",{"VI":1050},"Dự đoán cuộc gọi, mô hình hiệu ứng cố định, mô hình hiệu ứng pha trộn, mô hình bivariate, trung tâm gọi 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Parametric stochastic programming models for call-center workforce scheduling.  (2012) . Working paper, University of Pennsylvania, Philadelphia",{},{"id":24,"text":1200,"url":24,"identifiers":1201},"10.2307\u002F2529430",{"doi":1200},{"id":24,"text":1203,"url":24,"identifiers":1204},"10.1002\u002Fasmb.444",{"doi":1203},{"id":24,"text":1206,"url":24,"identifiers":1207},"10.1111\u002Fj.1937-5956.2009.01097.x",{"doi":1206},{"id":24,"text":1209,"url":24,"identifiers":1210},"10.1002\u002F0470052147",{"doi":1209},{"id":24,"text":1212,"url":24,"identifiers":1213},"10.1214\u002F08-AOAS164",{"doi":1212},{"id":24,"text":1215,"url":24,"identifiers":1216},"10.1287\u002Fmsom.1070.0179",{"doi":1215},{"id":24,"text":1218,"url":24,"identifiers":1219},"10.1145\u002F324898.325351",{"doi":1218},{"id":24,"text":1221,"url":24,"identifiers":1222},"10.1287\u002Fmnsc.1070.0786",{"doi":1221},{"id":24,"text":1224,"url":24,"identifiers":1225},"10.1016\u002FS0169-2607(02)00017-2",{"doi":1224},{"id":24,"text":1227,"url":24,"identifiers":1228},"10.1198\u002F016214506000001455",{"doi":1227},{"id":24,"text":1230,"url":24,"identifiers":1231},"10.1016\u002FS0167-6377(99)00022-X",{"doi":1230},{"id":1233,"createTime":1234,"updateTime":1235,"relativeEntities":1236,"slug":1237,"properties":1238,"entityType":133,"verifyStatus":134,"verifyTime":1234,"verifyNote":135,"languages":1252,"translateLanguages":1253,"viewCount":25,"primaryUrl":1254,"fullTextUrl":24,"authors":1255,"publicationType":183,"publisherRelationship":1292,"citationCount":1347,"citationInfo":1348,"publishDate":1351,"publishYear":930,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":1352,"openAccess":24,"references":1353,"isForceReanalyzing":336},"f5cfe840-d1e9-4f91-bacc-a4405cdfeb44","2024-10-10T21:11:54.749+00:00","2025-02-07T08:26:12.056+00:00",[],"Allocating-Emissions-Among-Co-Products-Implications-for-Procurement-and-Climate-Policy",{"openalex":1239,"mag":1241,"abstract":1243,"title":1246,"keywords":1249,"doi":1250},{"VOID":1240},"W2262038266",{"VOID":1242},"2262038266",{"EN":1244,"VI":1245},"\u003Cjats:p>Co-production (simultaneous production of multiple outputs) occurs in some emission-intensive basic material and agricultural industries. This paper is motivated by ones in which a supplier sells its primary product to a buyer that incurs an emissions cost (voluntarily, or due to government-imposed climate policy) and sells co-products into markets without emissions costs. Emission-accounting standards provide three candidate rules for allocating the supplier’s emissions among its products. This paper shows that under the value-based allocation, imposing an emissions tax on the primary product can increase emissions, by motivating the supplier to lower the price and sell a larger quantity. In contrast, with the socially optimal choice of allocation rule characterized in this paper, imposing the emissions tax on the primary product can greatly reduce emissions and increase welfare. In the absence of climate policy, under value-based allocation, a buyer might achieve greater profit by paying to offset its supply chain emissions. That can motivate supplier innovation to reduce its production cost. In numerical examples, considering the rare earth cerium oxide (co-produced with iron) and palm oil (co-produced with palm meal), the choice of allocation rule has a large impact on emissions, a buyer’s profit, and social welfare.\u003C\u002Fjats:p>","\u003Cjats:p>Co-production (sản xuất đồng thời nhiều sản phẩm) xảy ra trong một số ngành công nghiệp cơ bản phát thải khí nhà kính cao và nông nghiệp. Bài báo này được thúc đẩy bởi những trường hợp trong đó một nhà cung cấp bán sản phẩm chính của mình cho một người mua mà phải chịu chi phí phát thải (có thể là tự nguyện, hoặc do chính sách khí hậu do chính phủ áp đặt) và bán các sản phẩm đồng đi kèm vào các thị trường không có chi phí phát thải. Các tiêu chuẩn kế toán khí thải cung cấp ba quy tắc ứng cử viên để phân bổ khí thải của nhà cung cấp giữa các sản phẩm của họ. Bài báo cho thấy rằng dưới hình thức phân bổ dựa trên giá trị, việc áp đặt thuế phát thải lên sản phẩm chính có thể làm tăng khí thải, bằng cách khuyến khích nhà cung cấp giảm giá và bán nhiều hàng hơn. Ngược lại, với sự lựa chọn quy tắc phân bổ tối ưu về mặt xã hội, được mô tả trong bài báo này, việc áp đặt thuế phát thải trên sản phẩm chính có thể giảm lớn khí thải và tăng phúc lợi. Trong sự thiếu vắng của chính sách khí hậu, dưới hình thức phân bổ dựa trên giá trị, một người mua có thể đạt được lợi nhuận lớn hơn bằng cách thanh toán để bù đắp cho khí thải trong chuỗi cung ứng của mình. Điều đó có thể tạo động lực cho sự đổi mới của nhà cung cấp nhằm giảm chi phí sản xuất. Trong các ví dụ số, xem xét oxit cerium hiếm (đồng sản xuất với sắt) và dầu cọ (đồng sản xuất với bột cọ), sự lựa chọn quy tắc phân bổ có ảnh hưởng lớn đến khí thải, lợi nhuận của người mua và phúc lợi xã hội.\u003C\u002Fjats:p>",{"EN":1247,"VI":1248},"Allocating Emissions Among Co-Products: Implications for Procurement and Climate Policy","Phân bổ khí thải giữa các sản phẩm đồng sản xuất: Những hệ quả cho việc thu mua và chính sách khí hậu",{"VI":122},{"VOID":1251},"10.1287\u002Fmsom.2015.0572",[137],[139],"https:\u002F\u002Fpubsonline.informs.org\u002Fdoi\u002F10.1287\u002Fmsom.2015.0572",[1256,1275],{"id":1257,"sortIndex":25,"researcher":24,"roles":1258,"affiliations":1259,"properties":1268,"displayName":1272,"givenName":24,"familyName":24},"bb99d86a-efb1-4f2f-86f8-0697156de621",[],[1260],{"id":1261,"sortIndex":25,"affiliation":1262,"properties":24},"fb90769b-e0b5-4f9e-b2e8-ec46d35ec206",{"id":1261,"createTime":24,"updateTime":24,"relativeEntities":1263,"slug":24,"properties":1264,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1267,"statistic":24},[],{"title":1265},{"EN":1266},"Kenan-Flagler Business School, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599",[],{"orcid":1269,"title":1271,"openalex":1273},{"VOID":1270},"https:\u002F\u002Forcid.org\u002F0000-0002-9306-1050",{"EN":1272},"Nur Sunar",{"VOID":1274},"A5058524989",{"id":1276,"sortIndex":165,"researcher":24,"roles":1277,"affiliations":1278,"properties":1285,"displayName":1289,"givenName":24,"familyName":24},"5a05e693-ab4b-4138-ad93-fdb96727a701",[],[1279],{"id":610,"sortIndex":25,"affiliation":1280,"properties":24},{"id":610,"createTime":24,"updateTime":24,"relativeEntities":1281,"slug":24,"properties":1282,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1284,"statistic":24},[],{"title":1283},{"VI":615},[],{"orcid":1286,"title":1288,"openalex":1290},{"VOID":1287},"https:\u002F\u002Forcid.org\u002F0000-0001-9378-5190",{"EN":1289},"Erica L. Plambeck",{"VOID":1291},"A5084021293",{"url":24,"publisher":1293,"properties":1342},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":1294,"slug":10,"properties":1295,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":1300,"manageAffiliations":1309,"indexDatabases":1320,"url":105,"thumbnailPath":24,"statistic":24,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":1296,"eissn":1297,"issn":1298,"title":1299},{"VOID":13},{"VOID":15},{"VOID":17},{"EN":19},[1301,1305],{"id":28,"createTime":24,"updateTime":24,"relativeEntities":1302,"label":1303,"description":1304,"parentId":24,"standard":24,"scholarHubFieldId":24},[],{"EN":31},{},{"id":34,"createTime":24,"updateTime":24,"relativeEntities":1306,"label":1307,"description":1308,"parentId":24,"standard":24,"scholarHubFieldId":24},[],{"EN":37},{},[1310,1315],{"id":41,"createTime":24,"updateTime":24,"relativeEntities":1311,"slug":24,"properties":1312,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1314,"statistic":24},[],{"title":1313},{"EN":45},[],{"id":48,"createTime":24,"updateTime":24,"relativeEntities":1316,"slug":24,"properties":1317,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1319,"statistic":24},[],{"title":1318},{"EN":52},[],[1321,1328,1335],{"id":56,"indexDatabase":1322,"url":67,"indexYears":68,"academicFieldIds":1327,"indexDatabaseRanking":72},{"id":58,"createTime":24,"updateTime":24,"relativeEntities":1323,"label":1324,"description":1325,"key":64,"publicationTags":1326,"standard":24},[],{"EN":61,"VI":61},{"EN":61,"VI":63},[66],[70,71],{"id":74,"indexDatabase":1329,"url":87,"indexYears":24,"academicFieldIds":1334,"indexDatabaseRanking":24},{"id":76,"createTime":24,"updateTime":24,"relativeEntities":1330,"label":1331,"description":1332,"key":83,"publicationTags":1333,"standard":24},[],{"EN":79,"VI":79},{"EN":81,"VI":82},[85,86],[89],{"id":91,"indexDatabase":1336,"url":87,"indexYears":24,"academicFieldIds":1341,"indexDatabaseRanking":24},{"id":93,"createTime":24,"updateTime":24,"relativeEntities":1337,"label":1338,"description":1339,"key":100,"publicationTags":1340,"standard":24},[],{"EN":96,"VI":96},{"EN":98,"VI":99},[102,86],[104],{"issue":1343,"pages":1344,"volume":1346},{"VOID":462},{"VOID":1345},"414-428",{"VOID":927},100,{"total":1347,"publishYear":930,"statisticByYear":1349},{"2015":165,"2016":690,"2017":690,"2018":682,"2019":1350,"2020":479,"2021":1350,"2022":475,"2023":687,"2024":475},9,"2016-07-01",[85,102,72],[1354,1357,1360,1363,1366,1369,1372,1375,1378,1381,1384,1387,1391,1394,1397,1400,1403,1406,1409,1412,1415,1419,1422,1425,1428,1431,1434,1437,1440,1444,1447,1450,1453,1456,1459,1462,1465,1468,1471,1474,1477,1480,1483,1486,1489],{"id":24,"text":1355,"url":24,"identifiers":1356},"10.5547\u002FISSN0195-6574-EJ-Vol26-No4-6",{"doi":1355},{"id":24,"text":1358,"url":24,"identifiers":1359},"10.1111\u002Fpoms.12173",{"doi":1358},{"id":24,"text":1361,"url":24,"identifiers":1362},"Benjaafar S, Chen X (2014) On the effectiveness of emission penalties in decentralized supply chains. Working paper, University of Minnesota, Minneapolis.",{},{"id":24,"text":1364,"url":24,"identifiers":1365},"10.1524\u002F9783486710304",{"doi":1364},{"id":24,"text":1367,"url":24,"identifiers":1368},"10.1016\u002Fj.foodpol.2008.05.001",{"doi":1367},{"id":24,"text":1370,"url":24,"identifiers":1371},"10.1287\u002Fmnsc.2014.2055",{"doi":1370},{"id":24,"text":1373,"url":24,"identifiers":1374},"Boyabatli O, Nguyen JQ, Wang T (2015) Capacity management in agricultural commodity processing and application in the palm industry. Working paper, Singapore Management University, Singapore.",{},{"id":24,"text":1376,"url":24,"identifiers":1377},"Buchanan R, 2011, Financial Times",{},{"id":24,"text":1379,"url":24,"identifiers":1380},"10.1287\u002Fmnsc.2013.1819",{"doi":1379},{"id":24,"text":1382,"url":24,"identifiers":1383},"10.1287\u002Fmsom.2013.0443",{"doi":1382},{"id":24,"text":1385,"url":24,"identifiers":1386},"10.1287\u002Fmnsc.2013.1738",{"doi":1385},{"id":24,"text":1388,"url":24,"identifiers":1389},"Condon M, Ignaciuk A (2013) Border carbon adjustment and international trade: A literature review. Trade and Environment Working paper, Organisation for Economic Co-operation and Development, Columbia University, New York.",{"doi":1390},"10.2139\u002Fssrn.2693236",{"id":24,"text":1392,"url":24,"identifiers":1393},"10.1065\u002Flca2007.06.342",{"doi":1392},{"id":24,"text":1395,"url":24,"identifiers":1396},"10.1073\u002Fpnas.0906974107",{"doi":1395},{"id":24,"text":1398,"url":24,"identifiers":1399},"10.1287\u002Fopre.1110.0959",{"doi":1398},{"id":24,"text":1401,"url":24,"identifiers":1402},"10.1287\u002Fmnsc.2014.1996",{"doi":1401},{"id":24,"text":1404,"url":24,"identifiers":1405},"Drake DF (2015) Carbon tariffs: Effects in settings with technology choice and foreign production cost advantage. Working paper, Harvard Business School, Boston.",{},{"id":24,"text":1407,"url":24,"identifiers":1408},"10.1111\u002Fjiec.12106",{"doi":1407},{"id":24,"text":1410,"url":24,"identifiers":1411},"10.1016\u002Fj.jeem.2012.01.005",{"doi":1410},{"id":24,"text":1413,"url":24,"identifiers":1414},"10.1086\u002F684484",{"doi":1413},{"id":24,"text":1416,"url":24,"identifiers":1417},"Granot D, Granot F, Sosic G (2014) Allocation of greenhouse gas emissions in supply chains. Working paper, University of British Columbia, Vancouver.",{"doi":1418},"10.2139\u002Fssrn.2459658",{"id":24,"text":1420,"url":24,"identifiers":1421},"10.1093\u002Freep\u002Fres015",{"doi":1420},{"id":24,"text":1423,"url":24,"identifiers":1424},"Herzog T (2009) World greenhouse gas emissions in 2005. Working paper, World Resources Institute, Washington, DC.",{},{"id":24,"text":1426,"url":24,"identifiers":1427},"10.1007\u002Fs10696-012-9151-6",{"doi":1426},{"id":24,"text":1429,"url":24,"identifiers":1430},"10.2307\u002F41166305",{"doi":1429},{"id":24,"text":1432,"url":24,"identifiers":1433},"10.1287\u002Fmsom.1120.0420",{"doi":1432},{"id":24,"text":1435,"url":24,"identifiers":1436},"10.1093\u002Foxfordjournals.oep.a041370",{"doi":1435},{"id":24,"text":1438,"url":24,"identifiers":1439},"10.1111\u002Fj.1475-5890.1998.tb00274.x",{"doi":1438},{"id":24,"text":1441,"url":24,"identifiers":1442},"Krass D, 2013, Production Oper. Management, 22, 1035, 10.1111\u002Fpoms.12023",{"doi":1443},"10.1111\u002Fpoms.12023",{"id":24,"text":1445,"url":24,"identifiers":1446},"10.1287\u002Fmsom.1110.0352",{"doi":1445},{"id":24,"text":1448,"url":24,"identifiers":1449},"Lubetsky J, 2006, 2006 IPCC Guidelines for National Greenhouse Gas Inventories.",{},{"id":24,"text":1451,"url":24,"identifiers":1452},"10.1016\u002FS0047-2727(01)00221-3",{"doi":1451},{"id":24,"text":1454,"url":24,"identifiers":1455},"Martens J, 2011, Bloomberg Business",{},{"id":24,"text":1457,"url":24,"identifiers":1458},"Morales A, 2013, Bloomberg Business",{},{"id":24,"text":1460,"url":24,"identifiers":1461},"10.1016\u002Fj.agsy.2015.02.007",{"doi":1460},{"id":24,"text":1463,"url":24,"identifiers":1464},"10.1007\u002Fs11367-010-0220-3",{"doi":1463},{"id":24,"text":1466,"url":24,"identifiers":1467},"10.1016\u002Fj.eneco.2012.08.031",{"doi":1466},{"id":24,"text":1469,"url":24,"identifiers":1470},"10.1287\u002Fmsom.2013.0444",{"doi":1469},{"id":24,"text":1472,"url":24,"identifiers":1473},"Plumer B, 2013, The Washington Post",{},{"id":24,"text":1475,"url":24,"identifiers":1476},"10.1007\u002Fs11367-009-0142-0",{"doi":1475},{"id":24,"text":1478,"url":24,"identifiers":1479},"Stanway D, 2011, Reuters",{},{"id":24,"text":1481,"url":24,"identifiers":1482},"10.1287\u002Fmnsc.1070.0807",{"doi":1481},{"id":24,"text":1484,"url":24,"identifiers":1485},"10.1146\u002Fannurev-environ-020411-130608",{"doi":1484},{"id":24,"text":1487,"url":24,"identifiers":1488},"Weisbach DA, 2013, Theoret. Inquiries Law, 14, 207",{},{"id":24,"text":1490,"url":24,"identifiers":1491},"Yong HY, 2011, China Daily",{},{"id":1493,"createTime":1494,"updateTime":1495,"relativeEntities":1496,"slug":1497,"properties":1498,"entityType":133,"verifyStatus":134,"verifyTime":1512,"verifyNote":135,"languages":1513,"translateLanguages":1514,"viewCount":25,"primaryUrl":1515,"fullTextUrl":24,"authors":1516,"publicationType":183,"publisherRelationship":1591,"citationCount":1646,"citationInfo":1647,"publishDate":244,"publishYear":242,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":1650,"openAccess":24,"references":1651,"isForceReanalyzing":336},"e714006a-a135-4bdf-8c98-062f91080573","2024-10-10T21:11:58.419+00:00","2025-02-07T08:25:16.170+00:00",[],"Double-Counting-in-Supply-Chain-Carbon-Footprinting",{"openalex":1499,"mag":1501,"abstract":1503,"title":1506,"keywords":1509,"doi":1511},{"VOID":1500},"W2102268217",{"VOID":1502},"2102268217",{"EN":1504,"VI":1505},"\u003Cjats:p> Carbon footprinting is a tool for firms to determine the total greenhouse gas (GHG) emissions associated with their supply chain or with a unit of final product or service. Carbon footprinting typically aims to identify where best to invest in emission reduction efforts, and\u002For to determine the proportion of total emissions that an individual firm is accountable for, whether financially and\u002For operationally. A major and underrecognized challenge in determining the appropriate allocation stems from the high degree to which GHG emissions are the result of joint efforts by multiple firms. We introduce a simple but general model of joint production of GHG emissions in general supply chains, decomposing the total footprint into processes, each of which can be influenced by any combination of firms. We analyze two main scenarios. In the first scenario, the social planner allocates emissions to individual firms and imposes a cost on them (such as a carbon tax) in proportion to the emissions allocated. In the second scenario, a carbon leader voluntarily agrees to offset all emissions in the entire supply chain and then contracts with individual firms to recoup (part of) the costs of those offsets. In both cases, we find that, to induce the optimal effort levels, the emissions need to be overallocated, even if the carbon tax is the true social cost of carbon. This is in contrast to the usual focus in the life-cycle assessment (LCA) and carbon footprinting literatures on avoiding double counting. Our work aims to lay the foundation for a framework to integrate the economics- and LCA-based perspectives on supply chain carbon footprinting. \u003C\u002Fjats:p>","\u003Cjats:p> Đánh giá khí thải carbon là một công cụ giúp các doanh nghiệp xác định tổng lượng khí nhà kính (GHG) phát sinh từ chuỗi cung ứng hoặc từ một đơn vị sản phẩm hoặc dịch vụ cuối cùng. Đánh giá khí thải carbon thường nhằm xác định đâu là nơi tốt nhất để đầu tư vào các nỗ lực giảm phát thải, và\u002Fhoặc để xác định tỷ lệ tổng lượng phát thải mà một doanh nghiệp cá nhân phải chịu trách nhiệm, cho dù về mặt tài chính và\u002Fhoặc hoạt động. Một thách thức lớn và chưa được công nhận trong việc xác định phân bổ thích hợp xuất phát từ mức độ cao mà khí thải GHG là kết quả của nỗ lực chung của nhiều doanh nghiệp. Chúng tôi giới thiệu một mô hình đơn giản nhưng tổng quát về sản xuất chung khí thải GHG trong các chuỗi cung ứng tổng quát, phân tách tổng lượng khí thải thành các quy trình, mỗi quy trình có thể chịu ảnh hưởng bởi bất kỳ sự kết hợp nào của các doanh nghiệp. Chúng tôi phân tích hai kịch bản chính. Trong kịch bản đầu tiên, nhà quản lý xã hội phân bổ lượng phát thải cho các doanh nghiệp cá nhân và áp dụng một chi phí cho họ (chẳng hạn như thuế carbon) tương ứng với lượng phát thải đã phân bổ. Trong kịch bản thứ hai, một doanh nghiệp dẫn đầu về carbon tự nguyện đồng ý bù đắp toàn bộ lượng phát thải trong toàn bộ chuỗi cung ứng và sau đó ký hợp đồng với các doanh nghiệp cá nhân để thu hồi (một phần) chi phí của những khoản bù đắp đó. Trong cả hai trường hợp, chúng tôi phát hiện ra rằng, để khuyến khích mức độ nỗ lực tối ưu, lượng phát thải cần phải được phân bổ thặng dư, ngay cả khi thuế carbon là chi phí xã hội thực sự của carbon. Điều này trái ngược với trọng tâm thông thường trong các tài liệu về đánh giá vòng đời (LCA) và đánh giá khí thải carbon về việc tránh tính toán trùng lặp. Công việc của chúng tôi nhằm đặt nền tảng cho một khung làm việc nhằm tích hợp các quan điểm dựa trên kinh tế và LCA về việc đánh giá khí thải carbon trong chuỗi cung ứng. \u003C\u002Fjats:p>",{"EN":1507,"VI":1508},"Double Counting in Supply Chain Carbon Footprinting","Tính Toán Trùng Lặp Trong Đánh Giá Khí Thải Carbon Của Chuỗi Cung Ứng",{"VI":1510},"khí thải carbon, chuỗi cung ứng, đánh giá vòng đời, phát thải khí nhà kính, trùng lặp",{"VOID":1382},"2024-10-10T21:11:58.418+00:00",[137],[139],"https:\u002F\u002Fpubsonline.informs.org\u002Fdoi\u002F10.1287\u002Fmsom.2013.0443",[1517,1536,1553,1572],{"id":1518,"sortIndex":25,"researcher":24,"roles":1519,"affiliations":1520,"properties":1529,"displayName":1533,"givenName":24,"familyName":24},"99689442-ff62-4349-be67-5ac09e32debd",[],[1521],{"id":1522,"sortIndex":25,"affiliation":1523,"properties":24},"4773d0f5-af9d-4210-a4e9-742e013d952b",{"id":1522,"createTime":24,"updateTime":24,"relativeEntities":1524,"slug":24,"properties":1525,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1528,"statistic":24},[],{"title":1526},{"EN":1527},"Anderson School of Management, University of California, Los Angeles, Los Angeles, California 90095",[],{"orcid":1530,"title":1532,"openalex":1534},{"VOID":1531},"https:\u002F\u002Forcid.org\u002F0000-0003-0947-3958",{"EN":1533},"Felipe Caro",{"VOID":1535},"A5063695747",{"id":1537,"sortIndex":165,"researcher":24,"roles":1538,"affiliations":1539,"properties":1546,"displayName":1550,"givenName":24,"familyName":24},"44b15138-e4af-42f5-8064-4b195d8b43d5",[],[1540],{"id":1522,"sortIndex":25,"affiliation":1541,"properties":24},{"id":1522,"createTime":24,"updateTime":24,"relativeEntities":1542,"slug":24,"properties":1543,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1545,"statistic":24},[],{"title":1544},{"EN":1527},[],{"orcid":1547,"title":1549,"openalex":1551},{"VOID":1548},"https:\u002F\u002Forcid.org\u002F0000-0003-1814-3977",{"EN":1550},"Charles J. Corbett",{"VOID":1552},"A5027428037",{"id":1554,"sortIndex":392,"researcher":24,"roles":1555,"affiliations":1556,"properties":1565,"displayName":1569,"givenName":24,"familyName":24},"0f035ba8-e53d-48e9-b60c-fc2925c5e915",[],[1557],{"id":1558,"sortIndex":25,"affiliation":1559,"properties":24},"f3ef6745-b01a-461d-8f62-e7789814bbdd",{"id":1558,"createTime":24,"updateTime":24,"relativeEntities":1560,"slug":24,"properties":1561,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1564,"statistic":24},[],{"title":1562},{"VI":1563},"School of Industrial Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands",[],{"orcid":1566,"title":1568,"openalex":1570},{"VOID":1567},"https:\u002F\u002Forcid.org\u002F0000-0002-5002-8269",{"EN":1569},"Tarkan 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MS, 1979, Nonlinear Programming: Theory and Algorithms",{},{"id":24,"text":1668,"url":24,"identifiers":1669},"10.1109\u002FTASE.2012.2203304",{"doi":1668},{"id":24,"text":1671,"url":24,"identifiers":1672},"10.2307\u002F2556017",{"doi":1671},{"id":24,"text":1674,"url":24,"identifiers":1675},"Birchall J, 2010, Financial Times",{},{"id":24,"text":1677,"url":24,"identifiers":1678},"Bovenberg AL, 1996, Amer. Econom. Rev., 86, 985",{},{"id":24,"text":1680,"url":24,"identifiers":1681},"Buchanan JM, 1969, Amer. Econom. Rev., 59, 174",{},{"id":24,"text":1683,"url":24,"identifiers":1684},"Cachon GP (2011) Supply chain design and the cost of greenhouse gas emissions. Working paper, The Wharton School, Univerisity of Pennsylvania, Philadelphia.",{"doi":1685},"10.2139\u002Fssrn.2275350",{"id":24,"text":1687,"url":24,"identifiers":1688},"10.1287\u002Fmnsc.1090.1008",{"doi":1687},{"id":24,"text":1690,"url":24,"identifiers":1691},"10.1016\u002Fj.jclepro.2009.05.011",{"doi":1690},{"id":24,"text":1693,"url":24,"identifiers":1694},"10.1287\u002Fmnsc.47.7.881.9802",{"doi":1693},{"id":24,"text":1696,"url":24,"identifiers":1697},"10.1287\u002Fmsom.1060.0095",{"doi":1696},{"id":24,"text":1699,"url":24,"identifiers":1700},"10.1016\u002Fj.ejor.2004.01.021",{"doi":1699},{"id":24,"text":1702,"url":24,"identifiers":1703},"10.2307\u002F2555528",{"doi":1702},{"id":24,"text":1705,"url":24,"identifiers":1706},"Fowlie M, Reguant M, Ryan SP (2012) Market-based emissions regulation and industry dynamics. Working paper, University of California, Berkeley, Berkeley.",{"doi":1707},"10.3386\u002Fw18645",{"id":24,"text":1709,"url":24,"identifiers":1710},"Fudenberg D, 1991, Game Theory",{},{"id":24,"text":1712,"url":24,"identifiers":1713},"10.1080\u002F09535310500283492",{"doi":1712},{"id":24,"text":1715,"url":24,"identifiers":1716},"Hoen KMR, 2012, Flexible Services Manufacturing J.",{},{"id":24,"text":1718,"url":24,"identifiers":1719},"10.2307\u002F3003457",{"doi":1718},{"id":24,"text":1721,"url":24,"identifiers":1722},"10.1021\u002Fes901643a",{"doi":1721},{"id":24,"text":1724,"url":24,"identifiers":1725},"10.1007\u002Fs10657-007-9032-8",{"doi":1724},{"id":24,"text":1727,"url":24,"identifiers":1728},"Keskin N, Plambeck E (2011) Greenhouse gas emissions accounting: Allocating emissions from processes to co-products. Working paper, Stanford University, Stanford, CA.",{},{"id":24,"text":1730,"url":24,"identifiers":1731},"10.1111\u002Fj.1937-5956.2005.tb00235.x",{"doi":1730},{"id":24,"text":1733,"url":24,"identifiers":1734},"Kolk A, 2004, Euro. Man. J., 22, 304",{},{"id":24,"text":1736,"url":24,"identifiers":1737},"Koomen A (2012) Evaluating the impact of system boundaries on decisions that affect CO2 emissions and costs. Unpublished master's thesis, Eindhoven University of Technology, Eindhoven, The Netherlands.",{},{"id":24,"text":1739,"url":24,"identifiers":1740},"10.2307\u002F2298126",{"doi":1739},{"id":24,"text":1742,"url":24,"identifiers":1743},"10.1111\u002Fj.1530-9290.2008.00067.x",{"doi":1742},{"id":24,"text":1745,"url":24,"identifiers":1746},"10.1016\u002Fj.ecolecon.2006.05.018",{"doi":1745},{"id":24,"text":1748,"url":24,"identifiers":1749},"10.1016\u002F0022-0531(87)90021-4",{"doi":1748},{"id":24,"text":1751,"url":24,"identifiers":1752},"10.1021\u002Fes703112w",{"doi":1751},{"id":24,"text":1754,"url":24,"identifiers":1755},"10.2307\u002F2527107",{"doi":1754},{"id":24,"text":1757,"url":24,"identifiers":1758},"McPhaul J, 2007, Reuters",{},{"id":24,"text":1760,"url":24,"identifiers":1761},"10.1093\u002Foxrep\u002F19.3.362",{"doi":1760},{"id":24,"text":1763,"url":24,"identifiers":1764},"10.1016\u002F0301-4215(96)00064-X",{"doi":1763},{"id":24,"text":1766,"url":24,"identifiers":1767},"10.1111\u002Fj.1467-937X.2007.00443.x",{"doi":1766},{"id":24,"text":1769,"url":24,"identifiers":1770},"10.1007\u002Fs11367-008-0008-x",{"doi":1769},{"id":24,"text":1772,"url":24,"identifiers":1773},"10.1287\u002Fmnsc.1100.1146",{"doi":1772},{"id":24,"text":1775,"url":24,"identifiers":1776},"10.1016\u002F0095-0696(88)90030-7",{"doi":1775},{"id":24,"text":1778,"url":24,"identifiers":1779},"10.1016\u002Fj.jclepro.2008.04.020",{"doi":1778},{"id":24,"text":1781,"url":24,"identifiers":1782},"10.1287\u002Fmnsc.8.3.325",{"doi":1781},{"id":24,"text":1784,"url":24,"identifiers":1785},"10.1006\u002Fjeth.1998.2496",{"doi":1784},{"id":24,"text":1787,"url":24,"identifiers":1788},"10.1017\u002FCBO9780511804526",{"doi":1787},{"id":24,"text":1790,"url":24,"identifiers":1791},"10.1016\u002Fj.enpol.2004.04.002",{"doi":1790},{"id":24,"text":1793,"url":24,"identifiers":1794},"Tol RSJ, 2008, Economics, 2",{},{"id":24,"text":1796,"url":24,"identifiers":1797},"10.1162\u002Frest.91.1.1",{"doi":1796},{"id":24,"text":1799,"url":24,"identifiers":1800},"10.1287\u002Fmnsc.1060.0634",{"doi":1799},{"id":1802,"createTime":1803,"updateTime":1804,"relativeEntities":1805,"slug":1806,"properties":1807,"entityType":133,"verifyStatus":134,"verifyTime":1803,"verifyNote":135,"languages":1822,"translateLanguages":1823,"viewCount":25,"primaryUrl":1824,"fullTextUrl":24,"authors":1825,"publicationType":183,"publisherRelationship":1862,"citationCount":934,"citationInfo":1918,"publishDate":1921,"publishYear":1919,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":1922,"openAccess":24,"references":1923,"isForceReanalyzing":336},"730a6980-e8b9-457d-834e-35453baf3d72","2024-10-16T08:33:33.149+00:00","2025-02-07T08:23:22.353+00:00",[],"Interactive-Multicriteria-Optimization-for-Multiple-Response-Product-and-Process-Design",{"openalex":1808,"mag":1810,"abstract":1812,"title":1815,"keywords":1818,"doi":1820},{"VOID":1809},"W2144096592",{"VOID":1811},"2144096592",{"EN":1813,"VI":1814},"\u003Cjats:p> We consider product and process design problems (hereafter collectively called process design problems) that address issues associated with the assessment of optimum levels for process inputs that influence multiple-process performance measures. While this problem context encompasses many possible applications, we focus primarily on multiple-response design problems that have been widely studied in the quality improvement and quality management literature. For such problems, several optimization criteria have been proposed, including maximization of process yield, maximization of process capability, minimization of process costs, etc. In this research, we propose a method that accounts for many of these criteria via a procedure that interacts with and relies on the preferences of a decision maker (DM). The interactive procedure evolves from the convergence of three areas of research: notably, the research in multiple-response design, the research in multicriteria optimization, and recent developments in global optimization. The proposed interactive method is illustrated and comparatively assessed via two well-known problems in multiple-response design. Although the interactive procedure is developed for application in multiple-response design, it is not limited to this problem context. The concepts and methods developed in this research have applicability to problems that can be characterized by process inputs and process performance, such as supply chain management and multidisciplinary design optimization. \u003C\u002Fjats:p>","\u003Cjats:p> Chúng tôi xem xét các vấn đề thiết kế sản phẩm và quy trình (gọi chung là các vấn đề thiết kế quy trình) liên quan đến việc đánh giá mức độ tối ưu cho các đầu vào của quy trình ảnh hưởng đến nhiều chỉ tiêu hiệu suất quy trình. Mặc dù bối cảnh vấn đề này bao gồm nhiều ứng dụng tiềm năng, chúng tôi tập trung chủ yếu vào các vấn đề thiết kế nhiều phản hồi đã được nghiên cứu rộng rãi trong tài liệu cải tiến chất lượng và quản lý chất lượng. Đối với những vấn đề này, một số tiêu chí tối ưu hóa đã được đề xuất, bao gồm tối đa hóa năng suất quy trình, tối đa hóa khả năng quy trình, tối thiểu hóa chi phí quy trình, v.v. Trong nghiên cứu này, chúng tôi đề xuất một phương pháp xem xét nhiều tiêu chí này thông qua một quy trình tương tác với và dựa vào sở thích của người ra quyết định (DM). Quy trình tương tác này phát triển từ sự hội tụ của ba lĩnh vực nghiên cứu: đặc biệt, nghiên cứu về thiết kế nhiều phản hồi, nghiên cứu về tối ưu hóa đa tiêu chí và những phát triển gần đây trong tối ưu hóa toàn cục. Phương pháp tương tác được đề xuất được minh họa và so sánh thông qua hai bài toán nổi tiếng trong thiết kế nhiều phản hồi. Mặc dù quy trình tương tác được phát triển để áp dụng trong thiết kế nhiều phản hồi, nhưng nó không bị giới hạn trong bối cảnh vấn đề này. Các khái niệm và phương pháp được phát triển trong nghiên cứu này có thể áp dụng cho các vấn đề có thể được đặc trưng bởi các đầu vào của quy trình và hiệu suất quy trình, chẳng hạn như quản lý chuỗi cung ứng và tối ưu hóa thiết kế nhiều ngành.",{"EN":1816,"VI":1817},"Interactive Multicriteria Optimization for Multiple-Response Product and Process Design","Tối ưu hóa đa tiêu chí tương tác cho thiết kế sản phẩm và quy trình nhiều phản hồi",{"VI":1819},"tối ưu hóa đa tiêu chí, thiết kế quy trình, thiết kế sản phẩm, quy trình tương tác, quản lý chuỗi cung ứng",{"VOID":1821},"10.1287\u002Fmsom.5.4.334.24886",[137],[139],"https:\u002F\u002Fpubsonline.informs.org\u002Fdoi\u002F10.1287\u002Fmsom.5.4.334.24886",[1826,1845],{"id":1827,"sortIndex":25,"researcher":24,"roles":1828,"affiliations":1829,"properties":1838,"displayName":1842,"givenName":24,"familyName":24},"75215c5e-3375-457f-8fd9-a8ef68432aa0",[],[1830],{"id":1831,"sortIndex":25,"affiliation":1832,"properties":24},"a6a67f93-f4e1-48b9-8a5a-3bcabb46fef7",{"id":1831,"createTime":24,"updateTime":24,"relativeEntities":1833,"slug":24,"properties":1834,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":1837,"statistic":24},[],{"title":1835},{"VI":1836},"Industrial Engineering Department, Middle East Technical University, 06531 Ankara, Turkey",[],{"orcid":1839,"title":1841,"openalex":1843},{"VOID":1840},"https:\u002F\u002Forcid.org\u002F0000-0002-5423-3905",{"EN":1842},"Murat 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S., 1991, Design Theory Methodology, ASME, 31, 31",{},{"id":24,"text":1931,"url":24,"identifiers":1932},"10.1109\u002FPROC.1981.12170",{"doi":1931},{"id":24,"text":1934,"url":24,"identifiers":1935},"10.1080\u002F00224065.1993.11979454",{"doi":1934},{"id":24,"text":1937,"url":24,"identifiers":1938},"10.1080\u002F00224065.1996.11979684",{"doi":1937},{"id":24,"text":1940,"url":24,"identifiers":1941},"10.1080\u002F00224065.1980.11980968",{"doi":1940},{"id":24,"text":1943,"url":24,"identifiers":1944},"10.1109\u002FTCS.1977.1084353",{"doi":1943},{"id":24,"text":1946,"url":24,"identifiers":1947},"10.1080\u002F00207549308956778",{"doi":1946},{"id":24,"text":1949,"url":24,"identifiers":1950},"10.1287\u002Fmnsc.19.4.357",{"doi":1949},{"id":24,"text":1952,"url":24,"identifiers":1953},"Harrington E. C., 1965, Indust. Quality Control, 21, 494",{},{"id":24,"text":1955,"url":24,"identifiers":1956},"10.1080\u002F00224065.1985.11978971",{"doi":1955},{"id":24,"text":1958,"url":24,"identifiers":1959},"10.1080\u002F00224065.1985.11978964",{"doi":1958},{"id":24,"text":1961,"url":24,"identifiers":1962},"10.1287\u002Fopre.38.2.193",{"doi":1961},{"id":24,"text":1964,"url":24,"identifiers":1965},"10.1002\u002F(SICI)1099-1360(199903)8:2\u003C93::AID-MCDA235>3.0.CO;2-#",{"doi":1964},{"id":24,"text":1967,"url":24,"identifiers":1968},"10.1080\u002F00401706.1981.10487681",{"doi":1967},{"id":24,"text":1970,"url":24,"identifiers":1971},"10.1080\u002F00224065.1998.11979814",{"doi":1970},{"id":24,"text":1973,"url":24,"identifiers":1974},"Kim K. J., 2000, Appl. Statist., 49, 311",{},{"id":24,"text":1976,"url":24,"identifiers":1977},"10.1287\u002Fmnsc.41.7.1158",{"doi":1976},{"id":24,"text":1979,"url":24,"identifiers":1980},"10.1016\u002F0377-2217(86)90050-0",{"doi":1979},{"id":24,"text":1982,"url":24,"identifiers":1983},"10.1002\u002F1520-6750(198812)35:6\u003C615::AID-NAV3220350608>3.0.CO;2-K",{"doi":1982},{"id":24,"text":1985,"url":24,"identifiers":1986},"10.1007\u002F978-3-662-22160-0_21",{"doi":1985},{"id":24,"text":1988,"url":24,"identifiers":1989},"10.1016\u002FS0377-2217(96)00245-7",{"doi":1988},{"id":24,"text":1991,"url":24,"identifiers":1992},"10.1287\u002Fmnsc.30.11.1336",{"doi":1991},{"id":24,"text":1994,"url":24,"identifiers":1995},"10.1080\u002F00401706.1987.10488231",{"doi":1994},{"id":24,"text":1997,"url":24,"identifiers":1998},"10.2514\u002F6.2002-5456",{"doi":1997},{"id":24,"text":2000,"url":24,"identifiers":2001},"Miettinen K., 1999, Nonlinear Multiobjective Optimization",{},{"id":24,"text":2003,"url":24,"identifiers":2004},"10.1037\u002Fh0043158",{"doi":2003},{"id":24,"text":2006,"url":24,"identifiers":2007},"Myers R. H., 1995, Response Surface Methodology",{},{"id":24,"text":2009,"url":24,"identifiers":2010},"Neter J., 1990, Applied Linear Statistical Models",{},{"id":24,"text":2012,"url":24,"identifiers":2013},"10.1080\u002F07408179308964286",{"doi":2012},{"id":24,"text":2015,"url":24,"identifiers":2016},"10.1016\u002FS0377-2217(98)00119-2",{"doi":2015},{"id":24,"text":2018,"url":24,"identifiers":2019},"10.1080\u002F07408170108936849",{"doi":2018},{"id":24,"text":2021,"url":24,"identifiers":2022},"10.1214\u002Fss\u002F1177012413",{"doi":2021},{"id":24,"text":2024,"url":24,"identifiers":2025},"10.2514\u002F6.1998-4755",{"doi":2024},{"id":24,"text":2027,"url":24,"identifiers":2028},"Steuer R. E., 1986, Multiple Criteria Optimization: Theory, Computation and Application",{},{"id":24,"text":2030,"url":24,"identifiers":2031},"10.1007\u002F978-3-642-60663-2_2",{"doi":2030},{"id":24,"text":2033,"url":24,"identifiers":2034},"Taguchi G., 1986, Introduction to Quality Engineering",{},{"id":24,"text":2036,"url":24,"identifiers":2037},"10.2514\u002F2.1048",{"doi":2036},{"id":24,"text":2039,"url":24,"identifiers":2040},"10.1007\u002F978-1-4757-3532-1",{"doi":2039},{"id":24,"text":2042,"url":24,"identifiers":2043},"10.1080\u002F00224065.1990.11979204",{"doi":2042},{"id":24,"text":2045,"url":24,"identifiers":2046},"10.1007\u002F978-3-642-48782-8_32",{"doi":2045},{"id":2048,"createTime":2049,"updateTime":2050,"relativeEntities":2051,"slug":2052,"properties":2053,"entityType":133,"verifyStatus":134,"verifyTime":2049,"verifyNote":135,"languages":2067,"translateLanguages":2068,"viewCount":25,"primaryUrl":2069,"fullTextUrl":24,"authors":2070,"publicationType":183,"publisherRelationship":2109,"citationCount":2165,"citationInfo":2166,"publishDate":2174,"publishYear":2167,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":2175,"openAccess":24,"references":2176,"isForceReanalyzing":336},"9961c0ac-e76f-4c44-88f3-e6f147236c66","2025-01-07T06:31:28.781+00:00","2025-02-07T08:22:23.945+00:00",[],"Who-Should-Finance-the-Supply-Chain-Impact-of-Credit-Ratings-on-Supply-Chain-Decisions",{"openalex":2054,"mag":2056,"abstract":2058,"title":2061,"keywords":2064,"doi":2065},{"VOID":2055},"W2772931681",{"VOID":2057},"2772931681",{"EN":2059,"VI":2060},"\u003Cjats:p> Problem description: We study the impact of credit ratings on operational and financial decisions of a supply chain with a supplier and a retailer interacting via an early payment discount contract. The retailer has a single opportunity to order a product from the supplier to satisfy future uncertain demand. Both the retailer and supplier are capital constrained, and the retailer can use both short-term bank loans and trade credits for his financing needs, while the supplier can use short-term bank loans and\u002For the retailers early payment. We analyze for all relevant operational decisions (wholesale price, trade credit rates, bank loans, and order quantity) for capital-constrained firms. Academic\u002Fpractical relevance: We add a framework on who should finance inventories, and at what rates, in the presence of differential credit ratings of the supply chain parties. Methodology: Within a modified selling to the newsvendor Stackelberg game with the supplier as the leader, we derive the equilibrium trade credit rates, wholesale price, bank loans, and order quantity. Results: We show there exists a threshold such that if the supplier’s credit rating is above it, then the supplier offers trade credits with zero interest rate and the retailer uses trade credits only. Otherwise, the supplier sets a positive rate, which motivates the retailer to combine trade credits and bank loans. The supplier always benefits from working with good rating retailers. A retailer prefers to work with suppliers outside the supplier’s credit rating hole (a finite set of ratings) over suppliers with ratings within the range. Managerial implications: We provide insights on who should finance supply chain inventories and at what rates when there are differential credit rating between the supplier and retailer. We provide a plausible explanation for the practice of large and good credit rating retailers maintaining a small cash ratio and working with small suppliers in developing countries. \u003C\u002Fjats:p>\u003Cjats:p> The online appendix is available at https:\u002F\u002Fdoi.org\u002F10.1287\u002Fmsom.2017.0669 . \u003C\u002Fjats:p>\u003Cjats:p> This paper has been accepted for the Manufacturing & Service Operations Management Special Issue on Interface of Finance, Operations, and Risk Management. \u003C\u002Fjats:p>","\u003Cjats:p> Mô tả vấn đề: Chúng tôi nghiên cứu tác động của xếp hạng tín dụng đến các quyết định hoạt động và tài chính của một chuỗi cung ứng với sự tương tác giữa nhà cung cấp và nhà bán lẻ thông qua hợp đồng giảm giá trả trước. Nhà bán lẻ có một cơ hội duy nhất để đặt hàng một sản phẩm từ nhà cung cấp nhằm đáp ứng nhu cầu không chắc chắn trong tương lai. Cả nhà bán lẻ và nhà cung cấp đều bị hạn chế về vốn, và nhà bán lẻ có thể sử dụng cả khoản vay ngân hàng ngắn hạn và tín dụng thương mại cho nhu cầu tài chính của mình, trong khi nhà cung cấp có thể sử dụng khoản vay ngân hàng ngắn hạn và\u002Fhoặc tiền thanh toán trước của nhà bán lẻ. Chúng tôi phân tích tất cả các quyết định hoạt động có liên quan (giá bán buôn, lãi suất tín dụng thương mại, khoản vay ngân hàng, và số lượng đặt hàng) cho các công ty bị giới hạn vốn. Tính liên quan học thuật\u002Fthực tiễn: Chúng tôi thêm vào một khung lý thuyết về ai nên tài trợ cho hàng tồn kho, và với tỷ lệ nào, trong sự hiện diện của sự khác biệt về xếp hạng tín dụng của các bên trong chuỗi cung ứng. Phương pháp nghiên cứu: Trong một trò chơi Stackelberg sửa đổi về việc bán hàng cho nhà bán lẻ, với nhà cung cấp là người dẫn đầu, chúng tôi suy ra tỷ lệ tín dụng thương mại cân bằng, giá bán buôn, khoản vay ngân hàng và số lượng đặt hàng. Kết quả: Chúng tôi chỉ ra rằng có một ngưỡng, nếu xếp hạng tín dụng của nhà cung cấp cao hơn ngưỡng đó, thì nhà cung cấp sẽ cung cấp tín dụng thương mại với lãi suất bằng không và nhà bán lẻ chỉ sử dụng tín dụng thương mại. Ngược lại, nhà cung cấp sẽ đặt một tỷ lệ dương, điều này khuyến khích nhà bán lẻ kết hợp tín dụng thương mại và khoản vay ngân hàng. Nhà cung cấp luôn hưởng lợi từ việc làm việc với các nhà bán lẻ có xếp hạng tốt. Một nhà bán lẻ thích làm việc với các nhà cung cấp bên ngoài khoảng trống xếp hạng tín dụng của nhà cung cấp (một tập hợp hữu hạn các xếp hạng) hơn là với các nhà cung cấp có xếp hạng nằm trong khoảng đó. Ý nghĩa quản lý: Chúng tôi cung cấp những hiểu biết về ai nên tài trợ cho hàng tồn kho chuỗi cung ứng và với tỷ lệ nào khi có sự khác biệt về xếp hạng tín dụng giữa nhà cung cấp và nhà bán lẻ. Chúng tôi đưa ra một lý do hợp lý cho việc các nhà bán lẻ lớn và có xếp hạng tín dụng tốt duy trì tỷ lệ tiền mặt nhỏ và hợp tác với các nhà cung cấp nhỏ ở các nước đang phát triển. \u003C\u002Fjats:p>\u003Cjats:p> Phụ lục trực tuyến có sẵn tại https:\u002F\u002Fdoi.org\u002F10.1287\u002Fmsom.2017.0669 . \u003C\u002Fjats:p>\u003Cjats:p> Bài báo này đã được chấp nhận cho số Đặc biệt về Quản lý Hoạt động và Dịch vụ trong Tạp chí Quản lý Tài chính, Hoạt động và Quản lý Rủi ro. \u003C\u002Fjats:p>",{"EN":2062,"VI":2063},"Who Should Finance the Supply Chain? Impact of Credit Ratings on Supply Chain Decisions","Ai Nên Tài Trợ Chuỗi Cung Ứng? Tác Động của Xếp Hạng Tín Dụng Đến Các Quyết Định Trong Chuỗi Cung Ứng",{"VI":122},{"VOID":2066},"10.1287\u002Fmsom.2017.0669",[137],[139],"https:\u002F\u002Fpubsonline.informs.org\u002Fdoi\u002F10.1287\u002Fmsom.2017.0669",[2071,2090],{"id":2072,"sortIndex":25,"researcher":24,"roles":2073,"affiliations":2074,"properties":2083,"displayName":2087,"givenName":24,"familyName":24},"11b2b2b6-cd05-461f-9a0e-5d22f53d4507",[],[2075],{"id":2076,"sortIndex":25,"affiliation":2077,"properties":24},"ac9d4658-5379-4081-8e37-390341fb3069",{"id":2076,"createTime":24,"updateTime":24,"relativeEntities":2078,"slug":24,"properties":2079,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":2082,"statistic":24},[],{"title":2080},{"EN":2081},"Olin Business School, Washington University in St. Louis, St. Louis, Missouri 63130",[],{"orcid":2084,"title":2086,"openalex":2088},{"VOID":2085},"https:\u002F\u002Forcid.org\u002F0000-0002-8800-4537",{"EN":2087},"Panos Kouvelis",{"VOID":2089},"A5004613413",{"id":2091,"sortIndex":165,"researcher":24,"roles":2092,"affiliations":2093,"properties":2102,"displayName":2106,"givenName":24,"familyName":24},"4b2445a5-c257-4e60-bed9-22403cbe4f3b",[],[2094],{"id":2095,"sortIndex":25,"affiliation":2096,"properties":24},"13d152bf-b90a-4f56-98fb-d5e0797e2334",{"id":2095,"createTime":24,"updateTime":24,"relativeEntities":2097,"slug":24,"properties":2098,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":2101,"statistic":24},[],{"title":2099},{"VI":2100},"Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China",[],{"orcid":2103,"title":2105,"openalex":2107},{"VOID":2104},"https:\u002F\u002Forcid.org\u002F0000-0002-8037-8016",{"EN":2106},"Wenhui Zhao",{"VOID":2108},"A5101816094",{"url":24,"publisher":2110,"properties":2159},{"id":6,"createTime":7,"updateTime":8,"relativeEntities":2111,"slug":10,"properties":2112,"entityType":22,"verifyStatus":23,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":25,"subjectFields":2117,"manageAffiliations":2126,"indexDatabases":2137,"url":105,"thumbnailPath":24,"statistic":24,"gsStatistic":24,"type":24,"analyzePriority":24},[],{"country":2113,"eissn":2114,"issn":2115,"title":2116},{"VOID":13},{"VOID":15},{"VOID":17},{"EN":19},[2118,2122],{"id":28,"createTime":24,"updateTime":24,"relativeEntities":2119,"label":2120,"description":2121,"parentId":24,"standard":24,"scholarHubFieldId":24},[],{"EN":31},{},{"id":34,"createTime":24,"updateTime":24,"relativeEntities":2123,"label":2124,"description":2125,"parentId":24,"standard":24,"scholarHubFieldId":24},[],{"EN":37},{},[2127,2132],{"id":41,"createTime":24,"updateTime":24,"relativeEntities":2128,"slug":24,"properties":2129,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":2131,"statistic":24},[],{"title":2130},{"EN":45},[],{"id":48,"createTime":24,"updateTime":24,"relativeEntities":2133,"slug":24,"properties":2134,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":2136,"statistic":24},[],{"title":2135},{"EN":52},[],[2138,2145,2152],{"id":56,"indexDatabase":2139,"url":67,"indexYears":68,"academicFieldIds":2144,"indexDatabaseRanking":72},{"id":58,"createTime":24,"updateTime":24,"relativeEntities":2140,"label":2141,"description":2142,"key":64,"publicationTags":2143,"standard":24},[],{"EN":61,"VI":61},{"EN":61,"VI":63},[66],[70,71],{"id":74,"indexDatabase":2146,"url":87,"indexYears":24,"academicFieldIds":2151,"indexDatabaseRanking":24},{"id":76,"createTime":24,"updateTime":24,"relativeEntities":2147,"label":2148,"description":2149,"key":83,"publicationTags":2150,"standard":24},[],{"EN":79,"VI":79},{"EN":81,"VI":82},[85,86],[89],{"id":91,"indexDatabase":2153,"url":87,"indexYears":24,"academicFieldIds":2158,"indexDatabaseRanking":24},{"id":93,"createTime":24,"updateTime":24,"relativeEntities":2154,"label":2155,"description":2156,"key":100,"publicationTags":2157,"standard":24},[],{"EN":96,"VI":96},{"EN":98,"VI":99},[102,86],[104],{"issue":2160,"pages":2161,"volume":2163},{"VOID":1147},{"VOID":2162},"19-35",{"VOID":2164},"20",253,{"total":2165,"publishYear":2167,"statisticByYear":2168},2018,{"2016":165,"2017":392,"2018":686,"2019":2169,"2020":474,"2021":2170,"2022":2171,"2023":2172,"2024":2173},18,48,37,50,54,"2018-02-01",[85,102,72],[2177,2180,2184,2187,2190,2193,2196,2199,2202,2205,2208,2211,2214,2217,2220,2223,2226,2229,2232,2235,2238,2241,2245,2248],{"id":24,"text":2178,"url":24,"identifiers":2179},"10.1007\u002F978-0-85729-778-5_8",{"doi":2178},{"id":24,"text":2181,"url":24,"identifiers":2182},"Birge J, Parker RP, Wu X, Yang SA (2015) Operational strategies in the presence of consumer-driven bankruptcy risk. Working paper, University of Chicago, Chicago.",{"doi":2183},"10.2139\u002Fssrn.2652994",{"id":24,"text":2185,"url":24,"identifiers":2186},"10.1257\u002F0002828041464579",{"doi":2185},{"id":24,"text":2188,"url":24,"identifiers":2189},"10.1287\u002Fmnsc.1040.0278",{"doi":2188},{"id":24,"text":2191,"url":24,"identifiers":2192},"10.1287\u002Fmnsc.2016.2515",{"doi":2191},{"id":24,"text":2194,"url":24,"identifiers":2195},"10.1287\u002Fopre.1070.0364",{"doi":2194},{"id":24,"text":2197,"url":24,"identifiers":2198},"10.1111\u002F1540-6261.00527",{"doi":2197},{"id":24,"text":2200,"url":24,"identifiers":2201},"10.1093\u002Frfs\u002Fhhn096",{"doi":2200},{"id":24,"text":2203,"url":24,"identifiers":2204},"10.1287\u002Fmnsc.2015.2415",{"doi":2203},{"id":24,"text":2206,"url":24,"identifiers":2207},"10.1057\u002Fpalgrave.jors.2600428",{"doi":2206},{"id":24,"text":2209,"url":24,"identifiers":2210},"10.1111\u002Fj.1540-6261.2006.00866.x",{"doi":2209},{"id":24,"text":2212,"url":24,"identifiers":2213},"10.1093\u002Frfs\u002Fhhq077",{"doi":2212},{"id":24,"text":2215,"url":24,"identifiers":2216},"10.1111\u002Fj.1937-5956.2010.01211.x",{"doi":2215},{"id":24,"text":2218,"url":24,"identifiers":2219},"10.1287\u002Fopre.1120.1040",{"doi":2218},{"id":24,"text":2221,"url":24,"identifiers":2222},"10.1287\u002Fmnsc.2015.2248",{"doi":2221},{"id":24,"text":2224,"url":24,"identifiers":2225},"10.1287\u002Fmsom.3.4.293.9971",{"doi":2224},{"id":24,"text":2227,"url":24,"identifiers":2228},"10.1016\u002F0304-405X(84)90023-0",{"doi":2227},{"id":24,"text":2230,"url":24,"identifiers":2231},"10.1093\u002Frfs\u002F10.1.205",{"doi":2230},{"id":24,"text":2233,"url":24,"identifiers":2234},"Stiglitz J, 1975, Amer. Econom. Rev., 65, 283",{},{"id":24,"text":2236,"url":24,"identifiers":2237},"Tirole J, 2006, The Theory of Corporate Finance",{},{"id":24,"text":2239,"url":24,"identifiers":2240},"10.1016\u002Fj.worlddev.2003.04.003",{"doi":2239},{"id":24,"text":2242,"url":24,"identifiers":2243},"Xu X, Birge JR (2004) Joint production and financing decisions: Modeling and analysis. Working paper, Graduate School of Business, University of Chicago, Chicago.",{"doi":2244},"10.2139\u002Fssrn.652562",{"id":24,"text":2246,"url":24,"identifiers":2247},"10.1287\u002Fmnsc.2017.2799",{"doi":2246},{"id":24,"text":2249,"url":24,"identifiers":2250},"10.1287\u002Fmnsc.2014.2079",{"doi":2249},{"id":2252,"createTime":2253,"updateTime":2254,"relativeEntities":2255,"slug":2256,"properties":2257,"entityType":133,"verifyStatus":134,"verifyTime":2271,"verifyNote":135,"languages":2272,"translateLanguages":2273,"viewCount":25,"primaryUrl":2274,"fullTextUrl":24,"authors":2275,"publicationType":183,"publisherRelationship":2310,"citationCount":2173,"citationInfo":2365,"publishDate":2174,"publishYear":2167,"citationAnalyzeStatus":23,"lastCitationAnalyze":24,"indexDatabases":2367,"openAccess":24,"references":2368,"isForceReanalyzing":336},"69755bd3-a49a-4d7f-8ffa-2248f4180d2a","2025-01-07T06:31:29.800+00:00","2025-02-07T08:21:24.989+00:00",[],"R-amp-D-Investments-in-the-Presence-of-Knowledge-Spillover-and-Debt-Financing-Can-Risk-Shifting-Cure-Free-Riding-",{"openalex":2258,"mag":2260,"abstract":2262,"title":2265,"keywords":2268,"doi":2269},{"VOID":2259},"W2622215746",{"VOID":2261},"2622215746",{"EN":2263,"VI":2264},"\u003Cjats:p>In an industry with knowledge spillover and debt financing, equilibrium investments in research and development (R&D) projects are subject to three economic forces. First, knowledge spillover among firms enables free dissemination of new technologies and produces investment synergies. Second, knowledge spillover also causes free riding: in equilibrium, firms underinvest in R&D expecting to benefit from investments by others. Third, debt financing creates incentive for risk shifting: equity holders overinvest in riskier R&D projects. We study how interactions among these forces affect a firm’s investment decisions and equilibrium industry outcomes using a three-stage game between two firms and the external debt market. We characterize subgame perfect, Pareto-dominant equilibria and show that for some parameter choices, free riding and risk shifting cancel each other in the decisions of individual firms, resulting in the first-best investments. Interestingly, for some cases, the equilibrium with first-best investments becomes possible only when risk shifting by one firm enables free riding by the other firm. We also show that debt can be used by firms as a commitment device in a multistage game. This value of debt is shared with investors, who can earn positive profits despite being perfectly competitive. This enriches the understanding of the financial pecking order theory by showing that even firms with unlimited internal capital may prefer external debt financing.\u003C\u002Fjats:p>\u003Cjats:p>This paper has been accepted for the Manufacturing & Service Operations Management Special Issue on Interface of Finance, Operations, and Risk Management.\u003C\u002Fjats:p>","\u003Cjats:p>Trong một ngành công nghiệp có sự lan tỏa tri thức và tài trợ nợ, các khoản đầu tư trong các dự án nghiên cứu và phát triển (R&D) chịu ảnh hưởng của ba lực lượng kinh tế. Thứ nhất, sự lan tỏa tri thức giữa các công ty cho phép việc phổ biến miễn phí công nghệ mới và tạo ra sự hợp tác đầu tư. Thứ hai, sự lan tỏa tri thức cũng gây ra tình trạng miễn cưỡng đầu tư: trong trạng thái cân bằng, các công ty đầu tư không đủ vào R&D với hy vọng được hưởng lợi từ các khoản đầu tư của người khác. Thứ ba, tài trợ nợ tạo ra động lực cho việc chuyển đổi rủi ro: các nhà đầu tư cổ phiếu đầu tư quá mức vào các dự án R&D có rủi ro cao hơn. Chúng tôi nghiên cứu cách mà những tương tác giữa các lực lượng này ảnh hưởng đến các quyết định đầu tư của một công ty và kết quả ngành trong trạng thái cân bằng bằng cách sử dụng trò chơi ba giai đoạn giữa hai công ty và thị trường nợ bên ngoài. Chúng tôi đặc trưng hóa các trạng thái cân bằng hoàn hảo của trò chơi con, ưu tiên Pareto và chỉ ra rằng đối với một số lựa chọn tham số, tình trạng miễn cưỡng đầu tư và chuyển đổi rủi ro sẽ bù trừ lẫn nhau trong các quyết định của các công ty cá nhân, dẫn đến các khoản đầu tư tốt nhất có thể. Đáng thú vị, trong một số trường hợp, trạng thái cân bằng với các khoản đầu tư tốt nhất có thể chỉ trở nên khả thi khi việc chuyển đổi rủi ro của một công ty cho phép tình trạng miễn cưỡng đầu tư của công ty khác. Chúng tôi cũng chỉ ra rằng tài trợ nợ có thể được các công ty sử dụng như một thiết bị cam kết trong một trò chơi nhiều giai đoạn. Giá trị của nợ được chia sẻ với các nhà đầu tư, những người có thể kiếm được lợi nhuận dương mặc dù ở trong trạng thái cạnh tranh hoàn hảo. Điều này làm phong phú thêm sự hiểu biết về lý thuyết thứ tự ưu tiên tài chính bằng cách cho thấy rằng ngay cả những công ty có vốn nội bộ không giới hạn cũng có thể ưa thích tài trợ nợ bên ngoài.\u003C\u002Fjats:p>\u003Cjats:p>Bài báo này đã được chấp nhận cho Số đặc biệt về Quản lý Hoạt động và Dịch vụ Sản xuất về giao diện của Tài chính, Hoạt động và Quản lý Rủi ro.\u003C\u002Fjats:p>",{"EN":2266,"VI":2267},"R&D Investments in the Presence of Knowledge Spillover and Debt Financing: Can Risk Shifting Cure Free Riding?","Đầu tư R&D trong bối cảnh có sự lan tỏa tri thức và tài trợ nợ: Liệu việc chuyển đổi rủi ro có thể chữa trị tình trạng miễn cưỡng đầu tư?",{"VI":122},{"VOID":2270},"10.1287\u002Fmsom.2017.0668","2025-01-07T06:31:29.799+00:00",[137],[139],"https:\u002F\u002Fpubsonline.informs.org\u002Fdoi\u002F10.1287\u002Fmsom.2017.0668",[2276,2295],{"id":2277,"sortIndex":25,"researcher":24,"roles":2278,"affiliations":2279,"properties":2288,"displayName":2292,"givenName":24,"familyName":24},"6c0e9ff1-d072-4876-8ec1-99c938d63039",[],[2280],{"id":2281,"sortIndex":25,"affiliation":2282,"properties":24},"f7e007f9-da2e-4557-839e-b009df883c51",{"id":2281,"createTime":24,"updateTime":24,"relativeEntities":2283,"slug":24,"properties":2284,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":2287,"statistic":24},[],{"title":2285},{"EN":2286},"Weatherhead School of Management, Case Western Reserve University, Cleveland, Ohio 44106",[],{"orcid":2289,"title":2291,"openalex":2293},{"VOID":2290},"https:\u002F\u002Forcid.org\u002F0000-0002-9567-8644",{"EN":2292},"Jie Ning",{"VOID":2294},"A5043804995",{"id":2296,"sortIndex":165,"researcher":24,"roles":2297,"affiliations":2298,"properties":2305,"displayName":2307,"givenName":24,"familyName":24},"a169ba9e-2195-4807-96a3-c70cd16591ec",[],[2299],{"id":147,"sortIndex":25,"affiliation":2300,"properties":24},{"id":147,"createTime":24,"updateTime":24,"relativeEntities":2301,"slug":24,"properties":2302,"entityType":24,"verifyStatus":24,"verifyTime":24,"verifyNote":24,"languages":24,"translateLanguages":24,"viewCount":24,"url":24,"parentIds":2304,"statistic":24},[],{"title":2303},{"EN":152},[],{"title":2306,"openalex":2308},{"EN":2307},"Volodymyr 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JA, 1986, Amer. Econom. 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