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
卡卡发布了新的文献求助30
刚刚
刚刚
刚刚
yyfdqms发布了新的文献求助10
3秒前
4秒前
初景应助别在海边打瞌睡采纳,获得20
4秒前
呼呼呼完成签到 ,获得积分10
5秒前
Paddi发布了新的文献求助10
6秒前
君齐发布了新的文献求助10
7秒前
穆泽发布了新的文献求助20
7秒前
orixero应助谦让的飞绿采纳,获得10
8秒前
8秒前
互助完成签到,获得积分0
8秒前
梗梗完成签到,获得积分10
8秒前
姜超完成签到,获得积分10
9秒前
罗大壮完成签到,获得积分10
9秒前
懵懂小尉完成签到,获得积分10
11秒前
14秒前
CipherSage应助健康的冰之采纳,获得10
15秒前
Syx完成签到,获得积分10
15秒前
科研通AI6.2应助kavins凯旋采纳,获得10
16秒前
16秒前
19秒前
丘比特应助科研通管家采纳,获得10
20秒前
今后应助科研通管家采纳,获得10
20秒前
20秒前
情怀应助科研通管家采纳,获得10
20秒前
CipherSage应助科研通管家采纳,获得10
20秒前
桐桐应助科研通管家采纳,获得10
20秒前
20秒前
Copyright应助科研通管家采纳,获得10
21秒前
21秒前
领导范儿应助科研通管家采纳,获得10
21秒前
21秒前
21秒前
Hello应助科研通管家采纳,获得10
21秒前
Copyright应助科研通管家采纳,获得10
21秒前
FashionBoy应助科研通管家采纳,获得10
21秒前
21秒前
情怀应助科研通管家采纳,获得10
21秒前
高分求助中
Annie Ernaux: De la perte au corps glorieux 600
Petrology and Plate Tectonics,2025 500
A revision of Limenitis helmanni and its related species (Nymphalidae) from Central and South China 400
Moore's Clinically Oriented Anatomy 10th Edition 400
Direct and Iterative Linear System Solvers 400
Cardiopulmonary Bypass and Mechanical Support: Principles and Practice, Fifth Edition 400
Circular Polar Constellations Providing Continuous Single or Multiple Coverage Above a Specified Latitude 400
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 6771857
求助须知:如何正确求助?哪些是违规求助? 8496542
关于积分的说明 18104117
捐赠科研通 6065939
什么是DOI,文献DOI怎么找? 3014706
邀请新用户注册赠送积分活动 1991465
关于科研通互助平台的介绍 1971367