Value drivers of social businesses: A business model perspective

Hybrid organizational forms that combine commercial and welfare institutional logics play an increasingly important role in addressing the grand societal challenges we face today. Building on the literatures on hybrid organizations and social business models, we explore the characteristics of social businesses from a business model perspective. This study seeks to better understand the particularities and value drivers of hybrid social purpose in contrast to purely commercial business models. We follow a grounded theory approach and our findings are based on interview data from 17 social business firms. Building on social businesses' identified particularities, we propose four value drivers of social business models: 1) responsible efficiency, 2) impact complementarities, 3) shared values, and 4) integration novelties. We link our findings to the literature, contributing new insights into social businesses models and implications for practitioners.     

Let's Call it Quits: Break‐Even Effects in the Decision to Stop Taking Risks

“Chasing” behavior, whereby individuals, driven by a desire to break even, continue a risky activity (RA) despite incurring large losses, is a commonly observed phenomenon. We examine whether the desire to break even plays a wider role in decisions to stop engaging in financially motivated RA in a naturalistic setting. We test hypotheses, motivated by this research question, using a large data set: 707,152 transactions of 5,379 individual financial market spread traders between September 2004 and April 2013. The results indicate strong effects of changes in wealth around the break‐even point on the decision to cease an RA. An important mediating factor was the individual's historical long‐term performance. Those with a more profitable trading history were less affected by a fall in cash balance below the break‐even point compared to those who had been less profitable. We observe that break‐even points play an important role in the decision of nonpathological risk takers to stop RAs. It is possible, therefore, that these nonpathological cognitive processes, when occurring in extrema, may result in pathological gambling behavior such as “chasing.” Our data set focuses on RAs in financial markets and, consequently, we discuss the implications for institutions and regulators in the effective management of risk taking in markets. We also suggest that there may be a need to consider carefully the nature and role of “break‐even points” associated with a broader range of nonfinancially‐focused risk‐taking activities, such as smoking and substance abuse.     

Work-related factors associated with psychological distress among social workers

The current study assesses the association between several work-related factors and psychological distress among social workers (SWs) in Israel. The data were collected through structured questionnaires, administered to a sample of 494 SWs. The findings suggest that most of the examined work-related factors (namely, years of professional experience, personal work-related subjection to violence, burnout, compassion fatigue, and sense of coherence), with the exception of compassion satisfaction, significantly predicted psychological distress among SWs. The conclusion is that it is important to embed within the social work practice strategies for reducing sources of psychological distress (job demands) and increasing material, professional, and personal resources. Reducing the levels of psychological distress experienced by SWs will benefit not only themselves, but also their families and colleagues, as well as their clients. Moreover, this has potential benefits for the social work profession and for the general community.     

The empirical Bayes estimators of the parameter of the Poisson distribution with a conjugate gamma prior under Stein's loss function

For the hierarchical Poisson and gamma model, we calculate the Bayes posterior estimator of the parameter of the Poisson distribution under Stein's loss function which penalizes gross overestimation and gross underestimation equally and the corresponding Posterior Expected Stein's Loss (PESL). We also obtain the Bayes posterior estimator of the parameter under the squared error loss and the corresponding PESL. Moreover, we obtain the empirical Bayes estimators of the parameter of the Poisson distribution with a conjugate gamma prior by two methods. In numerical simulations, we have illustrated: The two inequalities of the Bayes posterior estimators and the PESLs; the moment estimators and the Maximum Likelihood Estimators (MLEs) are consistent estimators of the hyperparameters; the goodness-of-fit of the model to the simulated data. The numerical results indicate that the MLEs are better than the moment estimators when estimating the hyperparameters. Finally, we exploit the attendance data on 314 high school juniors from two urban high schools to illustrate our theoretical studies.     

Institutional antecedents of subsidiary external embeddedness: Coping with regulatory competitive constraints

We investigate institutional antecedents to subsidiary external embeddedness and relate regulation constraining competition in local service sectors to subsidiary embeddedness with local partners in complementary sectors. Combining research on business networks with arguments derived from transaction cost economics, we argue that subsidiary external embeddedness depends on the extent of transaction costs originating from small numbers bargaining, which regulatory competitive constraints in local service sectors are a source of. Based on this logic, we suggest that low and high levels of regulatory competitive constraints are associated with greater subsidiary external embeddedness. We also suggest that this U-shaped relationship is more pronounced for subsidiaries that are centers of excellence within the multinational enterprise because these subsidiaries heavily depend on the local context as a source of their competitive advantage over their sister subsidiaries.     

大数据驱动下的政府治理机制研究——基于2020年后精准扶贫领域的返贫阻断分析

大数据时代已经到来，大数据驱动下的政府治理发生何种改变，目前相关研究较少。当前政府治理的考验集中在2020年实现全面脱贫后精准扶贫领域的返贫阻断。文章以该领域为切入点，探索大数据驱动下政府治理的内在机制。研究发现：大数据背景下，政府治理能力催生出新的核心能力，即数据治理能力。数据治理能力驱动下，政府治理主体多元化有利于实现政府治理资源的宽范围、精准化动员；政府治理方式实现经验式决策向数据化决策转变，有利于实现政府资源的高效率和公平配置；政府治理客体的精准识别，有利于政府资源的精准化和最优化运用。但是客观上必须具备数据治理能力，主观上必须按照大数据驱动的要求重构政府治理体系（包括治理主体、治理方式和治理客体），才能真正实现以数据治理驱动政府治理，进而提高政府治理能力的目的。而数据治理能力客观上也加速了政府治理体系的重构，进而加快了政府治理能力的提升，并最终提高政府治理绩效。在对标大数据应用不同阶段分析常规式返贫阻断和大数据返贫阻断的不足和差距的基础上，笔者提出重构政府治理体系和提升数据治理能力等针对性建议。     

人类命运共同体构想的三维审思：逻辑起点·现实基点·思想源点

人类命运共同体构想作为马克思主义中国化的最新理论成果，是在积极反思人类生存现状的基础之上，对世界未来发展形态的一种前瞻性擘画。总体观之，作为“类”存在的人的主体自觉以及马克思主义“类”思想是人类命运共同体构想的逻辑基点， 现代“人类交往”方式的演进与普遍发展是人类命运共同体构想的现实基点，中国传统文化中的“和合”理念是人类命运共同体构想的思想源点。逻辑起点、现实基点与思想源点共同构成人类命运共同体构想的生成之源，对其系统、深入的阐释与审思则是我们学习、领悟、实践这一伟大构想的重要环节。     

线上线下融合模式下考虑战略顾客行为的供应链协调研究

在移动电商高速发展和移动支付日益便捷的时代，线上线下融合商务模式正日益成为传统零售、电子商务甚至快递物流企业转型升级的重要方向，影响着供应链运营管理及其优化决策。线上线下融合模式下的战略顾客行为不同于传统模式，其对于供应链运营管理及其优化决策的影响也不同于传统模式。基于O2O运作模式特征，运用战略顾客行为理论、供应链优化与协调理论，本文分别构建了"线上下单+线下体验+线下支付+自行提货"O2O模式1、"线上浏览+线下体验+线上购买+线下配送"O2O模式2、纯线下模式和纯线上模式下考虑战略顾客行为的供应链集中决策模型和契约协调模型，并进行了相应的数值分析，在此基础上，提出了相应的管理启示。研究结果表明：（1）无论是"线上下单+线下体验+线下支付+自行提货"O2O模式1还是"线上浏览+线下体验+线上购买+线下配送"O2O模式2，收益分享契约机制可以有效地实现战略顾客行为下的供应链协调。（2）对比两种O2O模式和两种非O2O模式，O2O模式1和O2O模式2能给供应链及其成员带来更多的利润，而纯线上模式和纯线下模式能给战略顾客带来更高的效用。（3）O2O模式下，制定较高的自提补贴和较低的折扣价格，有利于提高供应链及其成员的运营绩效。（4）O2O模式下，增强产品及其相关服务的实际体验效用，有利于提高供应链整体及其成员的运营绩效，有利于提高战略顾客的净效用。     

河北省省级贫困县农村居民移居城市意愿研究——基于邯郸市广平县的调查分析

当今中国，经济发展飞速，农民工源源不断涌入城市，长期以来形成城乡二元结构，农民移居城市意愿在京津冀一体化和推进城镇化背景下呈何状态、有何变化？笔者通过实地调研，分析问卷数据，分析移居城市意愿的影响因素及变化，并提出可行性建议。     

为合法经营活动而侵犯公民个人信息的刑法规制

最高人民法院、最高人民检察院《关于办理侵犯公民个人信息刑事案件适用法律若干问题的解释》第六条对为合法经营活动而侵犯公民个人信息行为进行独立规制,是新型犯罪罪状表述抽象化与罪状解释具体化、信息时代信息价值多元化与危害行为多样化、现代社会犯罪治理精细化与刑法评价精准化的内在要求.为合法经营活动而侵犯公民个人信息行为相关规范要素中的“为合法经营活动”应理解为主观超过要素,“获利五万元”应作严格解释,“曾因侵犯公民个人信息”应作广义解释,“其他情节严重”应包括信息数量标准.