分析性案例教学法研究

案例教学法分为实证性案例教学法和分析性案例教学法两大类 ,本文主要探讨了分析性案例教学法的含义与特点、重点与难点以及搞好分析性案例教学的几点思考。     

矿区生态工业共生效益测算实证研究

运用生态效率和产业集聚原理,提出了矿区生态工业共生效益测算方法,并以此对兖矿集团生态工业共生生态效率和集聚效益进行测算与分析。通过生态效率测算与分析,得出兖矿集团生态效率可分为三个阶段,表明兖矿集团开始向着生态工业网络化发展;通过集聚效益测算与分析,得出兖矿集团生态工业共生集聚程度还比较低,生态产业链(网)还不够丰富;最后指出兖矿集团生态工业共生的总体思路和发展方向。     

无边界组织探析——基于集团、企业、车间三层次的案例研究

文章以西门子总部、西门予Mulheim工厂和美国线模公司为例进行研究,结果表明:总部管理采用"无边界"组织模式可以简化组织结构和管理层级;企业采用"无边界"组织的另一模式--团队管理,可以激励创新,提高整体运营效率;车间采用"无边界"组织模式,可以集合全员参与,从而能持续有效地改进生产过程.     

集群风险自组织理论建构的探索式案例研究

集群风险已经成为一种普遍的经济现象,受到理论界的广泛关注,集群风险自组织则是其核心内涵的反映。根据协同学理论的分析框架及探索式多案例的研究设计,本文通过对三个企业集群样本的逐一研究剖析发现:集群风险自组织是一个内在结构演化的过程,由焦点企业、网络能力、网络结构三者相互作用而阶段性表征;在层次性、非线性和协同性三者协同演化下,风险阶段性地打破了集群平衡态,从而形成集群风险自组织间断非平衡性的特征。论文建构了集群风险自组织理论机制,对集群风险治理的实践具有一定启示意义。     

我国城市商业银行发展策略的案例研究

城市商业银行是我国银行体系的重要组成部分,如何借鉴优秀银行的成功经验,提高城市商业银行整体的经营水平和竞争力是十分迫切的问题.文章立足于城市商业银行的定位特点,对宁波、南京和北京银行等优秀上市城商行进行案例分析,为城市商业银行的发展提供可以借鉴的经验.     

基层人民银行受理征信投诉案例引发的思考——基于内蒙古乌兰察布市的案例分析

随着社会公众信用意识不断增强,中国人民银行及其分支机构受理的征信投诉业务量随之增加.以中国人民银行乌兰察布市中心支行受理征信投诉案例为出发点,总结当前征信投诉存在的问题:信息主体不具备正确的征信维权意识,受理投诉缺乏具体工作细则及指引,征信专业人员紧缺影响业务办理效率.据此,提出加强征信宣传教育、完善法律法规、强化征信...     

论案例研究法与实证研究法的结合

案例研究法和实证研究法是管理研究领域中常用的研究方法,两种方法各有利弊,将其恰当地结合使用可以使研究结果更加科学可信。本文对这两种研究方法进行了深入细致的分析比较,引用了目前国际一流的学术期刊等刊登的经典研究论文,通过对其研究方法的分析进一步说明案例研究法与实证研究法结合开展研究的过程、结论和重要性,作者提出了在研究中将案例研究法与实证研究法结合使用的三种方法。     

湖北潜江“虾稻共作”种养模式的运作机制及政策启示

目的 分析比较湖北潜江“虾稻共作”种养模式,阐明其运作机制,为推进长江中下游地区乃至全国农业绿色发展提供优化建议。方法 文章采用文献调查、实地访谈和案例分析的方法,从宏、中、微观层面探究湖北潜江“虾稻共作”种养模式的运作机制、主要做法、经验及问题。结果 （1）总结出湖北“虾稻共作”的 3种典型发展模式,分别为“家庭农场”模式、“企业+基地+合作社+农户”模式和“全产业链”模式;（2）剖析出“虾稻共作”种养模式的发展主要源于政府引导和市场主导相结合的“双导”推动、产业链利益共享的建立和各主体要素互补的形成;（3）阐明了政策扶持、品牌创建和宣传、全产业链经营、技术研发与虾稻共作标准、可追溯体系建立是虾稻产业发展的主要成效与经验。结论 针对虾稻产业发展存在的问题,从全省共创虾稻品牌、完善基础设施、加强市场监管、建立产学研结合的有效衔接机制和延伸虾稻产业链条等方面提出了针对性政策建议。     

How do crowd logistics platforms create value? An exploratory case study from China

ABSTRACT

Crowd logistics platforms play an important role in value creation, but the extant literature has not clarified how platforms create value. Consequently, this multiple case study identifies three main types of value creation capabilities for crowd logistics platforms: resource matching, operations management, and risk control. Additionally, the study demonstrates that these crowd logistics platform capabilities create value by providing the most accurate matches between resources and requests while also enhancing driver agility and compliance. Based on these findings, we present four propositions that extend our understanding of crowd logistics platforms’ value creation capabilities and the process through which these capabilities lead to value creation. The study also provides valuable insights for crowd logistics companies to improve their value creation capabilities.     

Building service businesses in Africa: Introducing the business builder model

The success of Silicon Valley has served as a driving force for entrepreneurs and investors worldwide. Many have attempted to create their own version in developing markets by setting up Silicon Valley‐style tech incubators. In recent years, Africa has seen an influx of these start‐up incubators, which has resulted in an emergence of major tech hubs in different parts of the continent. These areas have taken on names synonymous with the booming tech industry: Cape Town in South Africa is known as the Silicon Cape, Nairobi in Kenya as the Silicon Savannah, and Lagos, Nigeria as the Silicon Lagoon. Despite the influx and success of some of these incubators, there is also a multitude of examples where success and longevity are rare. The lifespan of these start‐ups are short and they seldom realize any profit. Limited access to capital markets, poor infrastructure, and weak regulatory environment are just a few reasons cited for this. Although there is a multitude of articles and publications that feature success cases and reasons behind propelling success, there are far fewer that focus on failures. As such, with this article we aim to shed light on the various reasons why these businesses fail by analyzing the literature and demonstrating them with real‐world examples of both successes and failures in the market. Using the information analyzed, we then propose a solution for successfully investing in tech startups in the developing world, the business builder model.