Interactive profit-planning systems and market turbulence: A dynamic capabilities perspective

This article describes, theorizes and empirically investigates the concept of interactive profit-planning systems (PPS) through the lens of the dynamic capabilities logic. With this conceptualization: interactive PPS capabilities comprise budgeting, forecasting and results-reporting routines, in which top and middle managers interact to create knowledge for sensing, seizing, and business model reconfiguring (to manage strategic business change). Survey data from 331 Australian firms is analyzed employing partial least squares structural equation modeling. The data provides support for two hypotheses: (1) greater market turbulence strengthens the positive effect of interactive PPS capabilities on business unit performance; and (2) greater market turbulence strengthens the positive effect of flexibility values (of organizational culture) on interactive PPS capabilities. Our findings show that interactive PPS capabilities function according to the salient tenets of the dynamic capabilities logic, and clarify the beneficial roles of formal cybernetic control systems and the intertwined involvement of top and middle managers in using dynamic capabilities.     

Self-exciting threshold models for time series of counts with a finite range

In this article, an integer-valued self-exciting threshold model with a finite range based on the binomial INARCH(1) model is proposed. Important stochastic properties are derived, and approaches for parameter estimation are discussed. A real-data example about the regional spread of public drunkenness in Pittsburgh demonstrates the applicability of the new model in comparison to existing models. Feasible modifications of the model are presented, which are designed to handle special features such as zero-inflation.     

The praxis of ethnic studies: transforming second sight into critical consciousness

This article focuses on a youth participatory action research (YPAR) program called the Social Justice Education Project (SJEP) that fostered young people of color’s critical consciousness. Their critical consciousness emerged through praxis (reflection/action) while focusing on preserving ethnic studies in Tucson, Arizona. Because the SJEP home was in ethnic studies, the youth also struggled to keep their program alive. The Arizona Department of Education claimed the program bred ‘radicals’ who wanted to overthrow the government and therefore lobbied the state legislature to ban K-12 ethnic studies in public schools. In January 2012, the ban went into effect, shutting down ethnic studies classes as well as the SJEP. Young people’s qualitative research on their struggle led to action to save the education that gave them hope for a more equitable and just world. The article addresses the praxis of YPAR, which sparks a thought process leading to the drive to take action. Observing and documenting educational injustices inspire the need to seek radical change of Self and schools. Through the reflection and action facilitated by YPAR, young people of color construct a message about the importance of ethnic studies for individual as well as social transformation.     

Multiple imputation for missing edge data: A predictive evaluation method with application to Add Health

Recent developments have made model-based imputation of network data feasible in principle, but the extant literature provides few practical examples of its use. In this paper, we consider 14 schools from the widely used In-School Survey of Add Health (Harris et al., 2009), applying an ERGM-based estimation and simulation approach to impute the network missing data for each school. Add Health's complex study design leads to multiple types of missingness, and we introduce practical techniques for handing each. We also develop a cross-validation based method – Held-Out Predictive Evaluation (HOPE) – for assessing this approach. Our results suggest that ERGM-based imputation of edge variables is a viable approach to the analysis of complex studies such as Add Health, provided that care is used in understanding and accounting for the study design.     

Campylobacter QMRA: A Bayesian Estimation of Prevalence and Concentration in Retail Foods Under Clustering and Heavy Censoring

A Bayesian statistical temporal‐prevalence‐concentration model (TPCM) was built to assess the prevalence and concentration of pathogenic campylobacter species in batches of fresh chicken and turkey meat at retail. The data set was collected from Finnish grocery stores in all the seasons of the year. Observations at low concentration levels are often censored due to the limit of determination of the microbiological methods. This model utilized the potential of Bayesian methods to borrow strength from related samples in order to perform under heavy censoring. In this extreme case the majority of the observed batch‐specific concentrations was below the limit of determination. The hierarchical structure was included in the model in order to take into account the within‐batch and between‐batch variability, which may have a significant impact on the sample outcome depending on the sampling plan. Temporal changes in the prevalence of campylobacter were modeled using a Markovian time series. The proposed model is adaptable for other pathogens if the same type of data set is available. The computation of the model was performed using OpenBUGS software.     

The Association Between the New Rural Cooperative Medical System and Health Care Seeking Behavior Among Middle-Aged and Older Chinese

The new rural cooperative medical system (NCMS) is the primary form of social insurance in rural China. This study aims to explore how the NCMS influences the health care seeking behaviors of middle-aged and older Chinese, considering the family and community contexts. A series of multi-level (three-level) models using data from the first wave of the China Health and Retirement Longitudinal Study (CHARLS) are used. We find that the presence of NCMS coverage has a statistically significant association with seeking inpatient and outpatient care but not physical checkups among middle-aged and older rural Chinese: Rural residents insured by NCMS were more likely to seek inpatient and outpatient care than people who were not insured. Other factors at the individual level (such as self-perceived health and number of doctor-diagnosed chronic diseases), the family level (such as living arrangements and household expenditures), and the community level (such as the presence of township hospitals within the community) are also significant predictors of health care seeking behaviors.     

Substance‐dependent women becoming mothers: breaking the cycle of adverse childhood experiences

Parenting may be particularly challenging for substance‐dependent mothers who have grown up with parents who themselves had substance use disorders (SUDs). The aim of this study was to explore how substance‐dependent mothers describe their childhood experiences with substance‐abusing parents and the association between these earlier experiences and their own role as caregivers. Using purposeful sampling, mothers admitted for 1 year to a family ward at a substance abuse clinic were approached. Through in‐depth, qualitative interviews, nine substance‐dependent mothers described their lives in the form of present, past and future tense. The findings indicate that substance‐dependent women, who have experienced SUDs in their families of origin, face several major challenges when they become mothers. Some describe having lived their whole lives ‘on the edge of society'. This makes their rehabilitation process more complex. All mothers work to abstain from substances, process traumatic experiences and integrate their family into society. They need help to build supportive social networks and to establish a safe and predictable family environment for themselves and their children. The therapeutic implications of these findings will be discussed.     

Yearning for faraway places: the construction of migration desires among young and educated Bangladeshis in Dhaka

These days, the imagined destinations of ever more people, particularly in the ‘global South’, are not where they were born but elsewhere. Using a case study of educated (lower) middle-class youth in Dhaka, this paper attempts to demonstrate that for many ‘aspiring migrants’, the yearning for leaving is a metaphor for disappointment and disengagement rather than the first step towards transnational migration. Economic growth, rapid urbanisation and the increasing investment in education infest the emerging urban (lower) middle-class youth with new ‘modern’ lifestyle desires that cannot be fulfilled in their home country and generate a sense of disengagement with Bangladesh. The paper focuses in particular on how the – culturally embedded – imaginations of foreign places link up to personal (re-)evaluations of local lives. Nearly all informants explained how local socio-economic, political and existential insecurities made them yearn for ‘safe’ places where their dreams could be fulfilled.     

Comparison of methods for analyzing binary repeated measures data: A simulation-based study (comparison of methods for binary repeated measures)

In this study, some methods suggested for binary repeated measures, namely, Weighted Least Squares (WLS), Generalized Estimating Equations (GEE), and Generalized Linear Mixed Models (GLMM) are compared with respect to power, type 1 error, and properties of estimates. The results indicate that with adequate sample size, no missing data, the only covariate being time effect, and a relatively limited number of time points, the WLS method performs well. The GEE approach performs well only for large sample sizes. The GLMM method is satisfactory with respect to type I error, but its estimates have poorer properties than the other methods.     

基于SAO语义分析的潜在技术合作伙伴识别

将SAO语义结构信息引入技术伙伴识别选择过程中，构建基于SAO语义分析的技术合作伙伴识别体系，通过对企业进行技术愿景分析、企业知识库分析确定技术合作网络，对网络内企业重点子技术领域进行相似度分析，从而识别企业潜在的技术合作伙伴，并制定针对性的合作方案。以染敏太阳能电池为案例开展实证研究，验证了该方法体系的可行性。