Pub Date : 2024-02-14DOI: 10.1177/10591478241235005
Ming Hu, Weixiang Huang, Chunhui Liu, Wenhui Zhou
To alleviate the financial shortage for public service provision, a government agency may jointly finance, own, and run a service system with a private firm (in the manner of a joint venture) or delegate service provision to the firm subject to regulation in service price or wait time. We model the service system as a queueing system in which customers are heterogeneous in service valuation and sensitive to price and delay. While the government aims to maximize social welfare, the firm's goal is to maximize profit. Hence, the joint venture has the objective of a mix of profit maximization and social welfare creation. Under the regulation, two types of interaction between the government and the firm, i.e., sequential move (in the absence of the government's myopic adjustment) and simultaneous move (in the presence of myopic adjustment), are considered. We find that while wait time regulation is more efficient than price regulation in the presence of myopic adjustment, the relationship is reversed in the absence of myopic adjustment. Somewhat surprisingly, price regulation with myopic adjustment may backfire. However, in some instances, the government must take a large share in a joint venture to achieve the same performance under price regulation without myopic adjustment. Our work uncovers whether the government adopts myopic adjustment plays a critical role in choosing the regulation instrument.
{"title":"EXPRESS: Regulation of Privatized Public Service Systems","authors":"Ming Hu, Weixiang Huang, Chunhui Liu, Wenhui Zhou","doi":"10.1177/10591478241235005","DOIUrl":"https://doi.org/10.1177/10591478241235005","url":null,"abstract":"To alleviate the financial shortage for public service provision, a government agency may jointly finance, own, and run a service system with a private firm (in the manner of a joint venture) or delegate service provision to the firm subject to regulation in service price or wait time. We model the service system as a queueing system in which customers are heterogeneous in service valuation and sensitive to price and delay. While the government aims to maximize social welfare, the firm's goal is to maximize profit. Hence, the joint venture has the objective of a mix of profit maximization and social welfare creation. Under the regulation, two types of interaction between the government and the firm, i.e., sequential move (in the absence of the government's myopic adjustment) and simultaneous move (in the presence of myopic adjustment), are considered. We find that while wait time regulation is more efficient than price regulation in the presence of myopic adjustment, the relationship is reversed in the absence of myopic adjustment. Somewhat surprisingly, price regulation with myopic adjustment may backfire. However, in some instances, the government must take a large share in a joint venture to achieve the same performance under price regulation without myopic adjustment. Our work uncovers whether the government adopts myopic adjustment plays a critical role in choosing the regulation instrument.","PeriodicalId":20623,"journal":{"name":"Production and Operations Management","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139777449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-14DOI: 10.1177/10591478241235145
Alex Scott, Beth Davis-Sramek, D. Ketchen
Although safety within operational systems depends on compliance with regulations, non-compliance is common in many settings. Trucking is a meaningful industry for studying operational safety compliance given that the industry is large and important, truck accidents kill thousands annually, and such accidents collectively cost the U.S. economy billions of dollars. Although the truck driving occupation is dominated by men, significant efforts are underway to recruit more women into the profession. If women are safer behind the wheel than men, increasing their ranks could improve overall safety compliance. Building on theory and evidence suggesting that men have a greater willingness to take risky actions and break rules, we used data on 22 million truck inspections from 2010 to 2022 to identify an operational safety compliance gap between men and women truckers. Overall, men were 7.4% more likely to be cited for a major violation of rules governing working hours (known as hours-of-service or HOS rules) and 13.2% more likely to have a major unsafe driving violation. We then examined whether gap changes based on carrier size and type. We found that the HOS compliance gap is smaller for small carriers (vs. large) and private carriers (vs. for-hire), but not the unsafe driving gap. Finally, we tested whether the introduction of an intervention—electronic logging devices (ELDs) that automatically record truckers' driving hours—closes the gap by increasing men's compliance. In line with predictions, differences between men and women disappeared after the mandate; but again, only for HOS compliance. Surprisingly, women had significantly more HOS violations in 2021 and 2022 than men—an outcome that may be tied to women truckers' personal safety issues. In summary, the results and additional robustness checks indicate that men committed more unsafe driving violations (e.g., speeding) than women across the entire study period, while the pattern of HOS violations varied based on external events. We conclude by highlighting possible pathways for reducing the number of collisions involving trucks and thus lowering the number of fatalities and extent of economic losses.
尽管运营系统的安全有赖于对法规的遵守，但在许多情况下，不遵守法规的现象却很普遍。卡车运输业是研究运营安全合规性的一个重要行业，因为该行业规模大、地位重要，每年因卡车事故死亡的人数达数千人，此类事故给美国经济造成的损失高达数十亿美元。虽然卡车司机这一职业以男性为主，但美国正在大力招募更多女性加入这一行业。如果女性驾驶比男性更安全，那么增加女性驾驶员的数量就能提高整体的安全合规性。有理论和证据表明，男性更愿意采取冒险行动和违反规则。基于这一理论和证据，我们利用 2010 年至 2022 年期间 2200 万次卡车检查的数据，找出了男女卡车司机在操作安全合规性方面的差距。总体而言，男性因严重违反工作时间规定（即服务时间规定或 HOS 规定）而被处罚的可能性要高出 7.4%，严重违反不安全驾驶规定的可能性要高出 13.2%。然后，我们研究了差距是否会因承运商的规模和类型而发生变化。我们发现，小型承运商（相对于大型承运商）和私营承运商（相对于出租承运商）在遵守 HOS 方面的差距较小，但在不安全驾驶方面的差距则不大。最后，我们测试了干预措施的引入--自动记录卡车司机驾驶时间的电子记录仪（ELDs）--是否能通过提高男性遵守率来缩小差距。与预测的结果一致，男性和女性之间的差距在强制规定实施后消失了；但同样地，仅在遵守 HOS 方面。令人惊讶的是，在 2021 年和 2022 年，女性违反 HOS 规定的情况明显多于男性--这一结果可能与女性卡车司机的个人安全问题有关。总之，研究结果和额外的稳健性检验表明，在整个研究期间，男性违反不安全驾驶规定（如超速）的次数多于女性，而违反 HOS 规定的模式则因外部事件而异。最后，我们强调了减少涉及卡车的碰撞数量，从而降低死亡人数和经济损失程度的可能途径。
{"title":"EXPRESS: Men at Work…Unsafely: Gender Differences in Compliance with Safety Regulations in the Trucking Industry","authors":"Alex Scott, Beth Davis-Sramek, D. Ketchen","doi":"10.1177/10591478241235145","DOIUrl":"https://doi.org/10.1177/10591478241235145","url":null,"abstract":"Although safety within operational systems depends on compliance with regulations, non-compliance is common in many settings. Trucking is a meaningful industry for studying operational safety compliance given that the industry is large and important, truck accidents kill thousands annually, and such accidents collectively cost the U.S. economy billions of dollars. Although the truck driving occupation is dominated by men, significant efforts are underway to recruit more women into the profession. If women are safer behind the wheel than men, increasing their ranks could improve overall safety compliance. Building on theory and evidence suggesting that men have a greater willingness to take risky actions and break rules, we used data on 22 million truck inspections from 2010 to 2022 to identify an operational safety compliance gap between men and women truckers. Overall, men were 7.4% more likely to be cited for a major violation of rules governing working hours (known as hours-of-service or HOS rules) and 13.2% more likely to have a major unsafe driving violation. We then examined whether gap changes based on carrier size and type. We found that the HOS compliance gap is smaller for small carriers (vs. large) and private carriers (vs. for-hire), but not the unsafe driving gap. Finally, we tested whether the introduction of an intervention—electronic logging devices (ELDs) that automatically record truckers' driving hours—closes the gap by increasing men's compliance. In line with predictions, differences between men and women disappeared after the mandate; but again, only for HOS compliance. Surprisingly, women had significantly more HOS violations in 2021 and 2022 than men—an outcome that may be tied to women truckers' personal safety issues. In summary, the results and additional robustness checks indicate that men committed more unsafe driving violations (e.g., speeding) than women across the entire study period, while the pattern of HOS violations varied based on external events. We conclude by highlighting possible pathways for reducing the number of collisions involving trucks and thus lowering the number of fatalities and extent of economic losses.","PeriodicalId":20623,"journal":{"name":"Production and Operations Management","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139839338","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-14DOI: 10.1177/10591478241235003
Gaurav Jetley, He Zhang
A significant portion of hospitalizations result in readmissions, many of which are preventable. Additionally, over a quarter of admissions necessitate intensive care unit (ICU) stays. These trends impose significant strain on healthcare systems, leading to penalties and reduced reimbursements for healthcare facilities. Consequently, reducing readmissions stands as a critical priority for healthcare institutions, with a specific focus on ICU processes and procedures. While some healthcare processes, such as vital sign monitoring, are consistent across patient cohorts, disparities in pain management have been well-documented. Existing research predominantly explores biases in outpatient settings, particularly in the underestimation and undertreatment of pain for Black patients. However, these biases can extend to the frequency of pain measurements in ICUs, where continuous monitoring plays a pivotal role in patient care. This study investigates disparities in pain measurement frequencies in ICUs for patients of different races and their impact on early readmission rates. Utilizing a dataset of ICU stays from a major U.S. healthcare institution, we employ mediation analysis with instrumental variables by performing a 2-step mediation analysis using IV-Probit estimator to answer these research questions. Our findings reveal that the frequency of pain measurements in ICU stays partially mediate the relationship between a patient's race and the probability of early readmission. Specifically, Black patients receive fewer pain measurements during their ICU stays compared to White patients, increasing their likelihood of 30-day readmission. This study represents the first to demonstrate that bias in pain management extends to the frequency of pain measurements in intensive care settings, shedding light on a critical aspect of healthcare disparities and their impact on readmission rates. The implications of our findings span healthcare practice, operations, and the growing body of literature on healthcare equity, offering valuable insights into addressing these disparities.
{"title":"EXPRESS: Racial Bias in Pain Measurement Frequency in ICUs and Its Impact on Early Readmission","authors":"Gaurav Jetley, He Zhang","doi":"10.1177/10591478241235003","DOIUrl":"https://doi.org/10.1177/10591478241235003","url":null,"abstract":"A significant portion of hospitalizations result in readmissions, many of which are preventable. Additionally, over a quarter of admissions necessitate intensive care unit (ICU) stays. These trends impose significant strain on healthcare systems, leading to penalties and reduced reimbursements for healthcare facilities. Consequently, reducing readmissions stands as a critical priority for healthcare institutions, with a specific focus on ICU processes and procedures. While some healthcare processes, such as vital sign monitoring, are consistent across patient cohorts, disparities in pain management have been well-documented. Existing research predominantly explores biases in outpatient settings, particularly in the underestimation and undertreatment of pain for Black patients. However, these biases can extend to the frequency of pain measurements in ICUs, where continuous monitoring plays a pivotal role in patient care. This study investigates disparities in pain measurement frequencies in ICUs for patients of different races and their impact on early readmission rates. Utilizing a dataset of ICU stays from a major U.S. healthcare institution, we employ mediation analysis with instrumental variables by performing a 2-step mediation analysis using IV-Probit estimator to answer these research questions. Our findings reveal that the frequency of pain measurements in ICU stays partially mediate the relationship between a patient's race and the probability of early readmission. Specifically, Black patients receive fewer pain measurements during their ICU stays compared to White patients, increasing their likelihood of 30-day readmission. This study represents the first to demonstrate that bias in pain management extends to the frequency of pain measurements in intensive care settings, shedding light on a critical aspect of healthcare disparities and their impact on readmission rates. The implications of our findings span healthcare practice, operations, and the growing body of literature on healthcare equity, offering valuable insights into addressing these disparities.","PeriodicalId":20623,"journal":{"name":"Production and Operations Management","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139838068","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-14DOI: 10.1177/10591478241235004
M. Sodhi, Christopher S. Tang
In 2015, the United Nations countries signed up to achieve 17 Sustainable Development Goals (SDGs) for people, planet, prosperity, peace, and partnership by 2030. However, the trend of progress toward achieving these goals indicates that none of the 17 goals may be achieved by 2030 globally. We first provide a foundation for OM researchers to help shape the interventions for countries and companies to help achieve the SDGs by (1) identifying the synergies among the SDGs so that interventions can impact multiple SDGs positively and (2) linking some of the extant OM research with the synergies among the various SDGs. This way, researchers can understand the complexity of the challenges ahead and build on the OM research to influence the interventions of governments and organizations to maximize the attainment of the SDGs. We also provide some research opportunities to help OM researchers develop research agendas.
{"title":"EXPRESS: Seeking and Exploiting Synergies among the UN Sustainability Development Goals: Research Opportunities for Operations Management","authors":"M. Sodhi, Christopher S. Tang","doi":"10.1177/10591478241235004","DOIUrl":"https://doi.org/10.1177/10591478241235004","url":null,"abstract":"In 2015, the United Nations countries signed up to achieve 17 Sustainable Development Goals (SDGs) for people, planet, prosperity, peace, and partnership by 2030. However, the trend of progress toward achieving these goals indicates that none of the 17 goals may be achieved by 2030 globally. We first provide a foundation for OM researchers to help shape the interventions for countries and companies to help achieve the SDGs by (1) identifying the synergies among the SDGs so that interventions can impact multiple SDGs positively and (2) linking some of the extant OM research with the synergies among the various SDGs. This way, researchers can understand the complexity of the challenges ahead and build on the OM research to influence the interventions of governments and organizations to maximize the attainment of the SDGs. We also provide some research opportunities to help OM researchers develop research agendas.","PeriodicalId":20623,"journal":{"name":"Production and Operations Management","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139777342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-13DOI: 10.1177/10591478231224919
Baozhuang Niu, Lei Chen, Qiyang Li, Fanzhuo Zeng
Restaurants have traditionally operated offline only, but the growth of food delivery platforms has prompted a shift toward online sales. In practice, consumers who share digital coupons offered by the platforms (e.g. Uber Eats and Meituan) in social networks (e.g. Facebook, Twitter, and WeChat) will be rewarded for the social traffic, which effectively attracts many restaurants to open online store. However, this also leads to intensified competition with the restaurant's physical (offline) store. In this article, we formulate the restaurant's tradeoffs among platform traffic benefits, consumers’ heterogeneous utility, and the platform's commission in the online selling decision. Interestingly, we find that the increased platform traffic may be harmful to the restaurant, and even the entire channel system. The platform offering high subsidies may trap restaurants in a pricing dilemma. We also find that restaurants’ online selling will induce a negative externality due to online/offline order congestion, but it will not qualitatively change the main findings.
{"title":"Restaurants’ Platform Partnership for Social Promotion and Resilient Revenue: Is Reward-Based Traffic Really Rewardful?","authors":"Baozhuang Niu, Lei Chen, Qiyang Li, Fanzhuo Zeng","doi":"10.1177/10591478231224919","DOIUrl":"https://doi.org/10.1177/10591478231224919","url":null,"abstract":"Restaurants have traditionally operated offline only, but the growth of food delivery platforms has prompted a shift toward online sales. In practice, consumers who share digital coupons offered by the platforms (e.g. Uber Eats and Meituan) in social networks (e.g. Facebook, Twitter, and WeChat) will be rewarded for the social traffic, which effectively attracts many restaurants to open online store. However, this also leads to intensified competition with the restaurant's physical (offline) store. In this article, we formulate the restaurant's tradeoffs among platform traffic benefits, consumers’ heterogeneous utility, and the platform's commission in the online selling decision. Interestingly, we find that the increased platform traffic may be harmful to the restaurant, and even the entire channel system. The platform offering high subsidies may trap restaurants in a pricing dilemma. We also find that restaurants’ online selling will induce a negative externality due to online/offline order congestion, but it will not qualitatively change the main findings.","PeriodicalId":20623,"journal":{"name":"Production and Operations Management","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139781751","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-13DOI: 10.1177/10591478231224919
Baozhuang Niu, Lei Chen, Qiyang Li, Fanzhuo Zeng
Restaurants have traditionally operated offline only, but the growth of food delivery platforms has prompted a shift toward online sales. In practice, consumers who share digital coupons offered by the platforms (e.g. Uber Eats and Meituan) in social networks (e.g. Facebook, Twitter, and WeChat) will be rewarded for the social traffic, which effectively attracts many restaurants to open online store. However, this also leads to intensified competition with the restaurant's physical (offline) store. In this article, we formulate the restaurant's tradeoffs among platform traffic benefits, consumers’ heterogeneous utility, and the platform's commission in the online selling decision. Interestingly, we find that the increased platform traffic may be harmful to the restaurant, and even the entire channel system. The platform offering high subsidies may trap restaurants in a pricing dilemma. We also find that restaurants’ online selling will induce a negative externality due to online/offline order congestion, but it will not qualitatively change the main findings.
{"title":"Restaurants’ Platform Partnership for Social Promotion and Resilient Revenue: Is Reward-Based Traffic Really Rewardful?","authors":"Baozhuang Niu, Lei Chen, Qiyang Li, Fanzhuo Zeng","doi":"10.1177/10591478231224919","DOIUrl":"https://doi.org/10.1177/10591478231224919","url":null,"abstract":"Restaurants have traditionally operated offline only, but the growth of food delivery platforms has prompted a shift toward online sales. In practice, consumers who share digital coupons offered by the platforms (e.g. Uber Eats and Meituan) in social networks (e.g. Facebook, Twitter, and WeChat) will be rewarded for the social traffic, which effectively attracts many restaurants to open online store. However, this also leads to intensified competition with the restaurant's physical (offline) store. In this article, we formulate the restaurant's tradeoffs among platform traffic benefits, consumers’ heterogeneous utility, and the platform's commission in the online selling decision. Interestingly, we find that the increased platform traffic may be harmful to the restaurant, and even the entire channel system. The platform offering high subsidies may trap restaurants in a pricing dilemma. We also find that restaurants’ online selling will induce a negative externality due to online/offline order congestion, but it will not qualitatively change the main findings.","PeriodicalId":20623,"journal":{"name":"Production and Operations Management","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139841595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-11DOI: 10.1177/10591478231224974
Zihao Zhang, Aravinda Garimella, Ming Fan
Motivated by recent developments aimed to address last-mile delivery challenges in rural areas of Indonesia and China, we develop a theoretical model to study how to lower participation barriers to the e-commerce market. We analyze how stage stations lower the cost of last-mile delivery by leveraging the preexisting social fabric in rural communities, including local stores, as well as social technologies such as chat services and virtual groups. Specifically, we examine two models, a decentralized model with stage stations run by independent agents, and a centralized model, similar to the one pioneered by Alibaba Taobao. We find that when the delivery cost in rural areas is high, the decentralized model can lower the participation cost and increase both platform profit and social welfare. In general, the centralized model outperforms the decentralized one. One reason is that the decentralized model suffers from a double marginalization problem. The centralized model has more flexibility, for example, in determining the pricing policies for both sellers and buyers. It could offer free service to rural customers if the participation of fresh rural customers can attract many additional sellers. However, a centralized model may not be feasible in many countries. Therefore, we explore whether the platform can implement a coordination mechanism for decentralized stage stations. We find that our proposed coordination mechanism can improve the performance of the decentralized model. Our results have important implications for how e-commerce platforms can leverage stage stations and social technologies to lower participation barriers for rural customers, thereby creating a more inclusive development model.
{"title":"Leveraging the Social Fabric to Improve Rural E-Commerce Access","authors":"Zihao Zhang, Aravinda Garimella, Ming Fan","doi":"10.1177/10591478231224974","DOIUrl":"https://doi.org/10.1177/10591478231224974","url":null,"abstract":"Motivated by recent developments aimed to address last-mile delivery challenges in rural areas of Indonesia and China, we develop a theoretical model to study how to lower participation barriers to the e-commerce market. We analyze how stage stations lower the cost of last-mile delivery by leveraging the preexisting social fabric in rural communities, including local stores, as well as social technologies such as chat services and virtual groups. Specifically, we examine two models, a decentralized model with stage stations run by independent agents, and a centralized model, similar to the one pioneered by Alibaba Taobao. We find that when the delivery cost in rural areas is high, the decentralized model can lower the participation cost and increase both platform profit and social welfare. In general, the centralized model outperforms the decentralized one. One reason is that the decentralized model suffers from a double marginalization problem. The centralized model has more flexibility, for example, in determining the pricing policies for both sellers and buyers. It could offer free service to rural customers if the participation of fresh rural customers can attract many additional sellers. However, a centralized model may not be feasible in many countries. Therefore, we explore whether the platform can implement a coordination mechanism for decentralized stage stations. We find that our proposed coordination mechanism can improve the performance of the decentralized model. Our results have important implications for how e-commerce platforms can leverage stage stations and social technologies to lower participation barriers for rural customers, thereby creating a more inclusive development model.","PeriodicalId":20623,"journal":{"name":"Production and Operations Management","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139785877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-11DOI: 10.1177/10591478231224974
Zihao Zhang, Aravinda Garimella, Ming Fan
Motivated by recent developments aimed to address last-mile delivery challenges in rural areas of Indonesia and China, we develop a theoretical model to study how to lower participation barriers to the e-commerce market. We analyze how stage stations lower the cost of last-mile delivery by leveraging the preexisting social fabric in rural communities, including local stores, as well as social technologies such as chat services and virtual groups. Specifically, we examine two models, a decentralized model with stage stations run by independent agents, and a centralized model, similar to the one pioneered by Alibaba Taobao. We find that when the delivery cost in rural areas is high, the decentralized model can lower the participation cost and increase both platform profit and social welfare. In general, the centralized model outperforms the decentralized one. One reason is that the decentralized model suffers from a double marginalization problem. The centralized model has more flexibility, for example, in determining the pricing policies for both sellers and buyers. It could offer free service to rural customers if the participation of fresh rural customers can attract many additional sellers. However, a centralized model may not be feasible in many countries. Therefore, we explore whether the platform can implement a coordination mechanism for decentralized stage stations. We find that our proposed coordination mechanism can improve the performance of the decentralized model. Our results have important implications for how e-commerce platforms can leverage stage stations and social technologies to lower participation barriers for rural customers, thereby creating a more inclusive development model.
{"title":"Leveraging the Social Fabric to Improve Rural E-Commerce Access","authors":"Zihao Zhang, Aravinda Garimella, Ming Fan","doi":"10.1177/10591478231224974","DOIUrl":"https://doi.org/10.1177/10591478231224974","url":null,"abstract":"Motivated by recent developments aimed to address last-mile delivery challenges in rural areas of Indonesia and China, we develop a theoretical model to study how to lower participation barriers to the e-commerce market. We analyze how stage stations lower the cost of last-mile delivery by leveraging the preexisting social fabric in rural communities, including local stores, as well as social technologies such as chat services and virtual groups. Specifically, we examine two models, a decentralized model with stage stations run by independent agents, and a centralized model, similar to the one pioneered by Alibaba Taobao. We find that when the delivery cost in rural areas is high, the decentralized model can lower the participation cost and increase both platform profit and social welfare. In general, the centralized model outperforms the decentralized one. One reason is that the decentralized model suffers from a double marginalization problem. The centralized model has more flexibility, for example, in determining the pricing policies for both sellers and buyers. It could offer free service to rural customers if the participation of fresh rural customers can attract many additional sellers. However, a centralized model may not be feasible in many countries. Therefore, we explore whether the platform can implement a coordination mechanism for decentralized stage stations. We find that our proposed coordination mechanism can improve the performance of the decentralized model. Our results have important implications for how e-commerce platforms can leverage stage stations and social technologies to lower participation barriers for rural customers, thereby creating a more inclusive development model.","PeriodicalId":20623,"journal":{"name":"Production and Operations Management","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139845798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.1177/10591478231224911
Mina Mohammadi, H. Sebastian Heese, Tim Kraft
The recently enacted Inflation Reduction Act (IRA) includes a number of incentive-based programs (e.g., tax credits) designed to motivate firms to develop new clean technologies for fighting climate change. However, the IRA also includes a fee firms incur for excessive methane emissions. This represents the first time the United States government has ever levied a fee on greenhouse gas emissions, and it raises an interesting research question—how should a budget-constrained regulator balance the use of both incentive and penalty-based levers for stimulating investment in clean technology development? In this paper, we examine a regulator’s optimal penalty and subsidy decisions for motivating firms to invest in clean technology development. We illustrate how the level of competitive intensity in the market can influence a budget-constrained regulator with multiple competing objectives—the environment, firm profits, and consumer welfare. We find that a subsidy is always beneficial, irrespective of the regulator’s objective. While imposing a firm penalty always benefits the environment, it always negatively impacts the sum of firm profits and consumer welfare. However, depending on the level of competition in the market, instances can occur where imposing a high penalty actually benefits total firm profits or consumer welfare (separately). Interestingly, a regulator that cares about all three dimensions of its objective equally, should always set the penalty to either its minimum or maximum value, depending on whether the environmental cost of the harmful product is high or low.
{"title":"EXPRESS: Environmental Regulation Design: Motivating Firms’ Clean Technology Investments With Penalties and Subsidies","authors":"Mina Mohammadi, H. Sebastian Heese, Tim Kraft","doi":"10.1177/10591478231224911","DOIUrl":"https://doi.org/10.1177/10591478231224911","url":null,"abstract":"The recently enacted Inflation Reduction Act (IRA) includes a number of incentive-based programs (e.g., tax credits) designed to motivate firms to develop new clean technologies for fighting climate change. However, the IRA also includes a fee firms incur for excessive methane emissions. This represents the first time the United States government has ever levied a fee on greenhouse gas emissions, and it raises an interesting research question—how should a budget-constrained regulator balance the use of both incentive and penalty-based levers for stimulating investment in clean technology development? In this paper, we examine a regulator’s optimal penalty and subsidy decisions for motivating firms to invest in clean technology development. We illustrate how the level of competitive intensity in the market can influence a budget-constrained regulator with multiple competing objectives—the environment, firm profits, and consumer welfare. We find that a subsidy is always beneficial, irrespective of the regulator’s objective. While imposing a firm penalty always benefits the environment, it always negatively impacts the sum of firm profits and consumer welfare. However, depending on the level of competition in the market, instances can occur where imposing a high penalty actually benefits total firm profits or consumer welfare (separately). Interestingly, a regulator that cares about all three dimensions of its objective equally, should always set the penalty to either its minimum or maximum value, depending on whether the environmental cost of the harmful product is high or low.","PeriodicalId":20623,"journal":{"name":"Production and Operations Management","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139801414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.1177/10591478231224914
Yi Tang, Kingshuk K. Sinha, Adam Moen, Necati Ertekin
The underserved population—i.e., individuals who identify themselves as non-female, non-heterosexual, or non-White—have long faced inequities when accessing traditional clinic-based mental health services. Individuals from the underserved population tend to use and benefit from these services less than their better-served counterparts (i.e., those who identify themselves as female, heterosexual, and White). This study investigates whether similar inequities exist within the context of mobile apps specifically designed to provide self-support and peer-support. To this end, we conduct an empirical analysis using longitudinal user-level data collected from a mental health mobile app (MHMA). Our results indicate that: (i) in contrast to the traditional clinic-based mental health services, in a MHMA setting, users from the underserved population engage with the app services and derive similar benefits as much as their better-served counterparts; and (ii) there is a positive relationship between app usage frequency and the mental condition of app users. Our post-hoc analysis uncovers that the MHMA promotes equitable usage and benefit for users: (i) from the underserved population via self-management functions that enable self-support; and (ii) from the better-served population via online community functions that facilitate peer-support. These findings suggest that MHMAs have the potential to achieve equity through both user engagement and the benefits derived from such engagement. We conclude by discussing the implications for mobile app firms, policymakers, and organizations in their efforts to achieve mental health equity for the underserved population.
{"title":"EXPRESS: Towards Achieving Mental Health Equity for the Underserved Population: Evaluating the Potential of Mobile Apps","authors":"Yi Tang, Kingshuk K. Sinha, Adam Moen, Necati Ertekin","doi":"10.1177/10591478231224914","DOIUrl":"https://doi.org/10.1177/10591478231224914","url":null,"abstract":"The underserved population—i.e., individuals who identify themselves as non-female, non-heterosexual, or non-White—have long faced inequities when accessing traditional clinic-based mental health services. Individuals from the underserved population tend to use and benefit from these services less than their better-served counterparts (i.e., those who identify themselves as female, heterosexual, and White). This study investigates whether similar inequities exist within the context of mobile apps specifically designed to provide self-support and peer-support. To this end, we conduct an empirical analysis using longitudinal user-level data collected from a mental health mobile app (MHMA). Our results indicate that: (i) in contrast to the traditional clinic-based mental health services, in a MHMA setting, users from the underserved population engage with the app services and derive similar benefits as much as their better-served counterparts; and (ii) there is a positive relationship between app usage frequency and the mental condition of app users. Our post-hoc analysis uncovers that the MHMA promotes equitable usage and benefit for users: (i) from the underserved population via self-management functions that enable self-support; and (ii) from the better-served population via online community functions that facilitate peer-support. These findings suggest that MHMAs have the potential to achieve equity through both user engagement and the benefits derived from such engagement. We conclude by discussing the implications for mobile app firms, policymakers, and organizations in their efforts to achieve mental health equity for the underserved population.","PeriodicalId":20623,"journal":{"name":"Production and Operations Management","volume":null,"pages":null},"PeriodicalIF":5.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139860497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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