Search results

This paper considers stationary regression models with near-collinear regressors. Limit theory is developed for regression estimates and test statistics in cases where the signal matrix is nearly singular in finite samples and is asymptotically degenerate. Examples include models that involve evaporating trends in the regressors that arise in conditions such as growth convergence. Structural equation models are also considered and limit theory is derived for the corresponding instrumental variable (IV) estimator, Wald test statistic, and overidentification test when the regressors are endogenous. It is shown that near-singular designs of the type considered here are not completely fatal to least squares inference, but do inevitably involve size distortion except in special Gaussian cases. In the endogenous case, IV estimation is inconsistent and both the block Wald test and Sargan overidentification test are conservative, biasing these tests in favor of the null.

Past studies on housework and marital studies seldom considered the possible endogeneity between these two factors. This chapter analyses data of the Women’s Status Survey 2010 to investigate the association between satisfaction with family status and housework participation in dual-earner married couples in China. The authors examine the association by ordinary least squares (OLS) regression models and structural equation models (SEM), taking into account of time constraints, economic resources and other demographic characteristics. Results suggest that both men and women are less satisfied with their family status if they share more housework than their partners, after controlling for household income, relative economic contribution, educational qualifications and other factors. Moreover, relative housework contribution is associated more consistently and significantly with satisfaction with family status than absolute housework time. In SEM, the authors include a correlated error term between housework time and satisfaction in the models to take endogeneity between these factors into account. For both urban men and women, relative contribution of housework, but not absolute time of housework, is still negatively associated with family status satisfaction.

Chapter 2 describes how behavioral science research methods that management and marketing scholars apply in studying processes involving decisions and organizational outcomes relate to three principal research objectives: fulfilling generality of findings, achieving accuracy of process actions and outcomes, and capturing complexity of nuances and conditions. The chapter's unique contribution is in advocating and describing the possibilities of researchers replacing Thorngate's (1976) “postulate of commensurate complexity” — it is impossible for a theory of social behavior to be simultaneously general, accurate, and simple and as a result organizational theorists inevitably have to make tradeoffs in their theory development — with a new postulate of disproportionate achievement. This new postulate proposes the possibilities and advocates the building and testing of useful process models that achieve all three principal research objectives. Rather than assuming the stance that a researcher must make tradeoffs that permit achieving any two, but not all three, principal research objectives as, Weick (1979) clock analogy shows, this chapter advocates embracing a property space (a three-dimensional box rather than a clock) view of research objectives and research methods. Tradeoffs need not be made; having-your-cake-and-eating-it-too is possible. The chapter includes a brief review of principal criticisms that case study researchers often express of surveys of respondents using fixed-point surveys. Likewise, the chapter reviews principal criticisms of case study research studies that researchers who favor the use of fixed-point surveys express.

Blockmodeling is viewed often as a data reduction method. However, this is a simplistic view of the class of methods designed to uncover social structures, identify subgroups, and reveal emergent roles. Worse, this view misses the richness of the method as a tool for uncovering novel human resource management (HRM) insights. Here, we provide a brief overview of some essentials of blockmodeling and discuss research questions that can be addressed using this approach in applied HRM settings. Finally, we offer an empirical example to illustrate blockmodeling and the types of information that can be gleaned from its implementation.

The growth of social media and the sharing economy is generating abundant unstructured image and video data. Computer vision techniques can derive rich insights from unstructured data and can inform recommendations for increasing profits and consumer utility – if only the model outputs are interpretable enough to earn the trust of consumers and buy-in from companies. To build a foundation for understanding the importance of model interpretation in image analytics, the first section of this article reviews the existing work along three dimensions: the data type (image data vs. video data), model structure (feature-level vs. pixel-level), and primary application (to increase company profits vs. to maximize consumer utility). The second section discusses how the “black box” of pixel-level models leads to legal and ethical problems, but interpretability can be improved with eXplainable Artificial Intelligence (XAI) methods. We classify and review XAI methods based on transparency, the scope of interpretability (global vs. local), and model specificity (model-specific vs. model-agnostic); in marketing research, transparent, local, and model-agnostic methods are most common. The third section proposes three promising future research directions related to model interpretability: the economic value of augmented reality in 3D product tracking and visualization, field experiments to compare human judgments with the outputs of machine vision systems, and XAI methods to test strategies for mitigating algorithmic bias.

This study explores the impact of parents’ and children’s early expectations on children’s later school persistence and completion of compulsory and secondary education, paying special attention to the parent-child agreement in early educational expectations. Results from analyzing longitudinal data from the Gansu Survey of Children and Families (GSCF) show that children often carry educational expectations quite different from their parents’. Consistent with previous research, children’s and their parents’ early expectations are strong predictors of children’s later educational attainment. More importantly, the analysis reveals that children benefit greatly when they share with their parents’ high expectations. Those children whose high expectations aligned with their parents fair best in later educational outcomes: They are more likely to complete compulsory education and secondary education. The combined determination of parents and children can help moderate the negative impact of poverty and facilitate children’s continued efforts in fulfilling their expectations. This positive impact holds even for children from the most impoverished families. This study points to the importance to recognize that there are non-material resources that family could provide to advance children’s education.

This study examines the association between management control systems (MCSs), specifically the interactive and diagnostic use of controls, with the corporate social responsibility (CSR) disclosure-action portrayal gap (i.e. the disparity in employees’ perception of their organisation’s emphasis on CSR disclosures relative to CSR actions) and the subsequent impact on employees’ perceptions of organisational performance, both operational performance and corporate social performance. Data were collected using a survey of US lower-level managers, with the data obtained from 209 respondents and analysed using structural equation modelling (SEM). The results reveal that the interactive and diagnostic use of controls both exhibit a significant negative association with the CSR disclosure-action portrayal gap, that is, the use of these controls reduces the gap. In addition, the various dimensions of the CSR disclosure-action portrayal gap exhibit a significant negative association with both operational and corporate social performance, that is, lower gap, higher performance. The study contributes to the CSR literature by providing the first empirical insight into employees’ perception of both CSR disclosures and actions, and hence, the CSR disclosure-action portrayal gap. In addition, the study contributes to the MCS and organisational performance literature by providing the initial empirical insight into the role of MCSs in mitigating the gap through enhancing the interactive and diagnostic use of controls, and the negative association between the gap and employees’ perceptions of organisational performance.

This chapter describes and tests the principles of configural theory in the context of hospitality frontline service employees’ happiness-at-work and managers’ assessments of these employees’ quality of work performances. The study proposes and tests empirically a configural asymmetric theory of the antecedents to hospitality employee happiness-at-work and managers’ assessments of employees’ quality of work performance. The findings confirm and go beyond prior statistical findings of small-to-medium effect sizes of happiness-performance relationships. The method includes matching cases of data from surveys of employees (n = 247) and surveys completed by their managers (n = 43) and uses qualitative comparative analysis via the software program fsQCA.com. The findings support the four principles of configural analysis and theory construction: recognize equifinality of different solutions for the same outcome; test for asymmetric solutions; test for causal asymmetric outcomes for very high versus very low happiness and work performance; and embrace complexity. The theory and findings confirm that configural theory and research resolves perplexing happiness–performance conundrums. The study provides algorithms involving employees’ demographic characteristics and their assessments of work facet-specifics which are useful for explaining very high happiness-at-work and high quality-of-work performance (as assessed by managers) – as well as algorithms explaining very low happiness and very low quality-of-work performance.