Doing Less to Do More? Optimal Service Portfolio of Non-profits That Serve Distressed Individuals

文件夹 业务 服务(商务) 多样性(控制论) 资源(消歧) 营销 财务 计算机科学 计算机网络 人工智能
作者
Priyank Arora,Morvarid Rahmani,Karthik Ramachandran
出处
期刊:Manufacturing & Service Operations Management [Institute for Operations Research and the Management Sciences]
卷期号:24 (2): 883-901 被引量:22
标识
DOI:10.1287/msom.2021.0966
摘要

Problem definition: Many nonprofit organizations (NPOs) serve distressed individuals who seek relief from hardships such as domestic abuse or homelessness. These NPOs aim to maximize social impact by allocating their limited amount of resources to various activities. Academic/practical relevance: NPOs that serve distressed individuals face a complex task because their clients are often unable to articulate their specific needs. As a result, NPOs are driven to not only offer a variety of services to fulfill different needs, but also engage in advisory activities to minimize mismatches between services clients receive and their true needs. Methodology: We develop a model to study an NPO’s service portfolio and effort allocation decisions under resource constraint. Clients’ progress from distress to resolution is stochastic and depends on the NPO’s efforts in different stages of the service offering. Results: We show that it is optimal for resource-constrained NPOs to offer fewer services and invest more in advisory activities when different types of clients are not evenly mixed in the population, when delays in achieving resolution can significantly blunt the social impact created, when the loss of impact due to not serving a fraction of clients is low, or when there is a limited amount of earmarked funds. Otherwise, it is optimal for NPOs to diversify their service offerings and invest less in advisory activities. Managerial implications: Many NPOs are drawn to maximize the number of clients they serve by increasing the number of services they offer. However, we show that, depending on the characteristics of clients and services, NPOs might be able to generate higher social impact by prioritizing the speed of resolution rather than focusing on the number of clients who achieve resolution. We also present a practical application of our model in the context of domestic abuse.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
晕晕乎乎完成签到,获得积分20
刚刚
高高完成签到 ,获得积分10
刚刚
华仔应助水月采纳,获得10
刚刚
忐忑的果汁完成签到 ,获得积分10
1秒前
杰杰杰杰发布了新的文献求助10
1秒前
xxxzy完成签到,获得积分0
1秒前
现代的雪糕完成签到,获得积分10
1秒前
DDF完成签到 ,获得积分10
1秒前
1秒前
1秒前
2秒前
loyalll发布了新的文献求助10
2秒前
景明完成签到,获得积分10
3秒前
asd发布了新的文献求助10
3秒前
一百块完成签到,获得积分10
3秒前
3秒前
3秒前
3秒前
白琳发布了新的文献求助10
4秒前
探索奥妙发布了新的文献求助10
4秒前
Ezio_sunhao发布了新的文献求助10
4秒前
Lioxy完成签到 ,获得积分10
4秒前
icypz628发布了新的文献求助10
5秒前
zmj完成签到,获得积分10
5秒前
Musilimiii发布了新的文献求助10
5秒前
喻贡金发布了新的文献求助30
6秒前
Mira发布了新的文献求助10
6秒前
6秒前
星辰大海应助佐伊采纳,获得10
6秒前
科研通AI6.4应助roy_chiang采纳,获得10
6秒前
zn完成签到 ,获得积分10
6秒前
6秒前
Hyz完成签到 ,获得积分10
7秒前
7秒前
孝顺的紫完成签到 ,获得积分10
8秒前
8秒前
JamesPei应助超级天晴采纳,获得10
9秒前
loyalll完成签到,获得积分10
9秒前
9秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Aerospace Standards Index - 2026 ASIN2026 3000
Relation between chemical structure and local anesthetic action: tertiary alkylamine derivatives of diphenylhydantoin 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Work Engagement and Employee Well-being 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6069386
求助须知:如何正确求助?哪些是违规求助? 7901145
关于积分的说明 16333023
捐赠科研通 5210468
什么是DOI,文献DOI怎么找? 2786851
邀请新用户注册赠送积分活动 1769754
关于科研通互助平台的介绍 1648004