Learning,signaling, and convincing: The role of experimentation in the business modeling process

This study examines experimentation in the business modeling process, unpacking three different roles of experimentation: learning, signaling, and convincing. Learning is an inherent role of experimentation, as managers typically experiment to engage with the environment and to obtain knowledge. This study uncovers another set of roles, which have a symbolic nature. These roles show that experimentation is not just a learning process, but also a strategic legitimation process, aimed at enacting the environment. Experimentation serves the purpose of signaling to potential customers and other stakeholders, and of convincing them to embrace the business model. Furthermore, this study shows that experimentation takes two forms—purposeful interactions and experimental projects—and that these forms can support the different roles of experimentation.     

中介机构参与下联盟企业知识转移的三方利益博弈分析

知识转移是企业保存知识、提升创新能力的重要途径，中介机构在转移过程中发挥了重要作用。本文以联盟企业间知识转移为研究对象，考虑了企业的不同心理压力，首先建立了联盟企业双方的讨价还价博弈模型；其次构建了考虑中介机构参与知识转移的博弈模型，分析和讨论三方收益变化的影响因素及策略选择。结果表明，在直接知识转移博弈中，转移主体的收益大小与自身的心理压力呈负相关，而与对方的心理压力呈正相关，同等心理压力下知识转出方占优；中介机构参与博弈情形下，中介机构作为协作角色的博弈收益仅受博弈双方心理压力影响，且与知识接收方协作可获得更大收益，而主导角色博弈情形下收益受到三方主体心理压力的综合影响，并在主导知识接收博弈时获得收益更大；中介机构的角色选择与知识转出方心理压力变化相关性不明显，主要受到知识接收方及自身心理压力影响。     

Are labour inspections effective when labour regulations vary according to the size of the firm? Evidence from Peru

This article analyses the impact of enforcement of four labour standards (pension system enrolment, minimum wage, maximum weekly working hours and written employment contract) on compliance in Peru, where labour regulations and penalties vary according to firm size. The author uses household survey data to analyse a factor not previously studied – adjustment by firms through downsizing to benefit from lower fines and less stringent regulations. The empirical findings indicate that enforcement efforts have little effect on either the degree of compliance or the size of firms.     

Applying a Treatment Effects Model to Investigate Public Amenity Effect on Physical Activity of the Elderly

The increasing elderly population puts significant health, economic, and social burdens on society. Physical activity is one of the most cost-effective ways to maintain the health of the elderly. This study adopts a treatment effects model to investigate the causal relationship between environment attributes and physical activity among the elderly, while taking endogeneity into account. The data were collected from 274 participants by face-to-face interviews in Taichung, Taiwan. Performing physical activity regularly in parks is the most important measure of the amount of physical activity by the elderly. Providing sufficient and accessible parks in metropolitan residential neighborhoods could be one of the most cost-effective ways to promote physical activity for the elderly living in midsize Asian cities.     

Do rich teens get richer? Facebook use and the link between offline and online social capital among Palestinian youth in Israel

Studies have shown that using social networking sites contributes to social capital. This study investigated the association between specific features of Facebook and online social capital. Two contrasting hypothesis were tested. The first posits that the rich get richer, meaning that the creation of social capital online reflects the stock of offline resources already available. In contrast, the compensation hypothesis argues that disadvantaged ethnic minorities are more likely to use social media to compensate for their lack of social capital offline. We tested these two theories among a representative sample of Palestinian teenagers (N?=?567). While we found no gender differences in the use of Facebook’s features, our results highlight the positive correlation between the use of active and passive communication features and perceived social capital online. Moreover, the results support the rich-get-richer model; in that, even among this socially disadvantaged group, the youngsters who already had a store of social capital offline benefitted more from using Facebook.     

Legitimating the Philippines as a language learning space: Transnational Korean youth's experiences and evaluations

This paper examines how a peripheral English‐speaking country is constructed as a legitimate language learning space in the global English language teaching (ELT) industry by investigating South Koreans’ recent engagement in Philippine English education. It focuses on a short‐term English study abroad program, in which the Philippines serves as a transit place prior to students’ moving to a Western English‐speaking country. Drawing data from ethnographic research on South Korean youth studying English abroad, the article analyzes why Korean students seek Philippine English education in spite of their apparent pursuit of authentic English, and how they evaluate their learning experience in the Philippines. This paper finds that the Philippines holds a niche market in the global ELT industry by separating a space for English learning from other public and everyday spaces of English use and offering pedagogically intensive but emotionally supportive environments to English learners.     

The exponentiated power exponential regression model with different regression structures: application in nursing data

We define the exponentiated power exponential distribution and propose a regression model with different systematic structures based on the new distribution. We show that the new regression model can be applied to dispersion data since it represents a parametric family of models that includes as sub-models some widely-known regression models. It then can be used more effectively in the analysis of real data. We use maximum likelihood estimation and derive the appropriate matrices for assessing local influence on the parameter estimates under different perturbation schemes. Some global-influence measurements are also investigated and simulation studies are performed to evaluate the accuracy of the estimates. We provide an application of the regression model with four systematic structures to nursing activities score data in the Unit of the Medical Clinic of University of São Paulo (USP) Hospital.     

Cox regression of clustered event times with covariates missing not at random

Motivated by a recent tuberculosis (TB) study, this paper is concerned with covariates missing not at random (MNAR) and models the potential intracluster correlation by a frailty. We consider the regression analysis of right‐censored event times from clustered subjects under a Cox proportional hazards frailty model and present the semiparametric maximum likelihood estimator (SPMLE) of the model parameters. An easy‐to‐implement pseudo‐SPMLE is then proposed to accommodate more realistic situations using readily available supplementary information on the missing covariates. Algorithms are provided to compute the estimators and their consistent variance estimators. We demonstrate that both the SPMLE and the pseudo‐SPMLE are consistent and asymptotically normal by the arguments based on the theory of modern empirical processes. The proposed approach is examined numerically via simulation and illustrated with an analysis of the motivating TB study data.     

Macro-Economic Factors in Credit Risk Calculations: Including Time-Varying Covariates in Mixture Cure Models

The prediction of the time of default in a credit risk setting via survival analysis needs to take a high censoring rate into account. This rate is because default does not occur for the majority of debtors. Mixture cure models allow the part of the loan population that is unsusceptible to default to be modeled, distinct from time of default for the susceptible population. In this article, we extend the mixture cure model to include time-varying covariates. We illustrate the method via simulations and by incorporating macro-economic factors as predictors for an actual bank dataset.     

Semiparametric regression of clustered current status data

This paper discusses regression analysis of clustered current status data under semiparametric additive hazards models. In particular, we consider the situation when cluster sizes can be informative about correlated failure times from the same cluster. To address the problem, we present estimating equation-based estimation procedures and establish asymptotic properties of the resulting estimates. Finite sample performance of the proposed method is assessed through an extensive simulation study, which indicates the procedure works well. The method is applied to a motivating data set from a lung tumorigenicity study.