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:28
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.
最长约 10秒,即可获得该文献文件

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
kuikui1100完成签到,获得积分10
1秒前
科研小叶发布了新的文献求助10
1秒前
小青完成签到,获得积分10
1秒前
Chy20031205完成签到,获得积分10
1秒前
椎名闻可完成签到,获得积分10
2秒前
2秒前
2秒前
3秒前
CWK完成签到 ,获得积分10
3秒前
喜悦的梦露完成签到,获得积分10
4秒前
小也完成签到,获得积分10
4秒前
赵芳完成签到,获得积分10
4秒前
AswinnLyu完成签到,获得积分10
5秒前
asder发布了新的文献求助10
5秒前
思源应助孙文采纳,获得10
5秒前
田様应助孤星望夜采纳,获得10
6秒前
6秒前
爱听歌灯泡完成签到,获得积分10
6秒前
椎名闻可发布了新的文献求助10
6秒前
lyq007完成签到,获得积分10
7秒前
杳杳完成签到,获得积分10
7秒前
chaoswu完成签到,获得积分10
7秒前
稳重完成签到 ,获得积分10
7秒前
ChloeXW完成签到,获得积分10
8秒前
bangdage发布了新的文献求助10
8秒前
cola完成签到,获得积分10
8秒前
蜂蜜完成签到,获得积分10
8秒前
Sean完成签到,获得积分10
9秒前
9秒前
年鱼精完成签到 ,获得积分10
9秒前
gardenia完成签到,获得积分10
10秒前
车宇完成签到 ,获得积分10
10秒前
顺顺顺完成签到 ,获得积分10
10秒前
动听的诗翠完成签到,获得积分10
10秒前
懵懂的海露完成签到,获得积分10
11秒前
不安子默完成签到,获得积分10
11秒前
杜科研完成签到,获得积分10
11秒前
Vivifang完成签到,获得积分10
11秒前
cola发布了新的文献求助10
11秒前
12秒前
高分求助中
Introduction to Helicopter and Tiltrotor Flight Simulation, Second Edition 2000
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6487504
求助须知:如何正确求助?哪些是违规求助? 8285860
关于积分的说明 17672297
捐赠科研通 5576320
什么是DOI,文献DOI怎么找? 2913610
邀请新用户注册赠送积分活动 1890598
关于科研通互助平台的介绍 1748169