How family influence,socioemotional wealth,and competitive conditions shape new technology adoption

Research summary : In family businesses, investment decisions often involve both socioemotional wealth and economic considerations. Focusing on new technology adoption, we argue that multiple dimensions of socioemotional wealth contribute to complex effects within different types of family firms—depending on the level of family control—as well as in contrast to non‐family firms. Results based on cable TV operators from 1983 to 1987 confirm that family ownership correlates negatively with technology adoption, especially when family owners hold a minority rather than majority position. We also show contingencies based on performance improvements and competitive threats. Our arguments contribute new insights about the tensions between economic and socioemotional factors within minority family ownership that are absent from non‐family firms and more pronounced than in majority family firms. Managerial summary : We find evidence of greater reluctance toward new technology adoption among firms with minority family influence than majority family influence. This suggests that goals related to socioemotional wealth only partly explain the cautious decision‐making observed in family firms, with further caution arising from conflicting priorities between family and non‐family owners. Recent performance improvements help offset the reluctance to adopt new technology, albeit to a lesser degree among firms with minority family ownership. High levels of competitive threats also offset the reduction in new technology adoption, and contrary to expectations, to a greater extent among minority family firms. Copyright © 2016 John Wiley & Sons, Ltd.     

Matching food security and malnutrition indicators: evidence from Southeast Asia

This article aims to understand the relation between household food security and individual undernutrition. The multitude of indicators available raises the question which aspects of food security are captured by the respective indicator. In our analysis, we first assess the relation between the dimensions of food security and households’ socioeconomic characteristics. Second, we examine whether household indicators detect undernutrition in children. Finally, we investigate the role of individual‐specific characteristics for child undernutrition. The analysis is based on a novel data set of 1,200 rural households from Cambodia and Lao PDR, which combines household‐ and individual‐level data. We capture household food security by three indicators including a dietary diversity score, a consumption behavior measure, and an experiential measure. Individual nutrition status is measured via anthropometric indicators. Our results show that different household‐level indicators capture fundamentally different aspects of food security. Moreover, household food security fails to explain stunting for children under five. Dietary diversity indicators, however, explain underweight in children to a small extent. We call for more research on intrahousehold allocation of food and stress the implications of our research for the design and targeting of food and nutrition support programs.     

Overlooked encounters: young tourists' experiences at dark sites

This research note reviews the existing literature comprised of dark tourism articles and chapters mentioning children. Publications meeting the search criteria were few. Accordingly, we offer possible reasons for the scarcity of research on children in dark tourism, including the legal constraints when researching with minors, the academic risk in undertaking a new field of research, and the substantial expertise needed to engage children in studies. We conclude with the compelling reasons to undertake such research: to inform interpretation of emotionally provocative sites for children, to understand and mitigate children's psychological distress at dark sites, and to advance theoretical work on children as tourists.     

Sources of inequality in the Philippines: Insights from stochastic dominance tests for richness and poorness

New stochastic dominance (SD) tests of richness and poorness are applied to income and expenditure distributions in the Philippines to measure relative welfare levels and investigate sources of inequality from 2000 to 2012. We successfully demonstrate that welfare analyses based on ascending and descending SD principles offer a stronger characterisation of changing levels of welfare in a population than what could be obtained using standard SD approach alone. Empirically, our results show that large improvements in relative welfare over time in the Philippines favoured older and female-headed households, mainly in the urban areas. Further, female headship and more years in education promoted higher welfare within and among the population groups. On the other hand, the growth of remittance incomes may have caused the greater imbalance in the distributions found in more recent years. Analysis by age groups meanwhile showed that over time, there are increasing concentrations of poorer households among the youngest cohort (30 and under), at the same time that there are also increasing concentrations of richer households among the over 60s. The combined impact of these factors provides a viable explanation as to why the gap between the rich and the poor has remained high in the Philippines for a very long time now.     

Smoothing and Benchmarking for Small Area Estimation

Small area estimation is concerned with methodology for estimating population parameters associated with a geographic area defined by a cross-classification that may also include non-geographic dimensions. In this paper, we develop constrained estimation methods for small area problems: those requiring smoothness with respect to similarity across areas, such as geographic proximity or clustering by covariates, and benchmarking constraints, requiring weighted means of estimates to agree across levels of aggregation. We develop methods for constrained estimation decision theoretically and discuss their geometric interpretation. The constrained estimators are the solutions to tractable optimisation problems and have closed-form solutions. Mean squared errors of the constrained estimators are calculated via bootstrapping. Our approach assumes the Bayes estimator exists and is applicable to any proposed model. In addition, we give special cases of our techniques under certain distributional assumptions. We illustrate the proposed methodology using web-scraped data on Berlin rents aggregated over areas to ensure privacy.     

An Empirical Analysis of Analysts' Capital Expenditure Forecasts: Evidence from Corporate Investment Efficiency*

We examine whether the information conveyed in a relatively new analyst research output—capital expenditure (capex) forecasts—affects corporate investment efficiency. We find that firms with analyst capex forecasts exhibit higher investment efficiency. This effect is stronger when the forecasts are issued by analysts with higher ability or greater industry knowledge. Moreover, the effect of capex forecasts on investment efficiency varies with the signals they convey about future growth opportunities—positive-growth signals are more effective in reducing underinvestment, while negative-growth signals are more effective in reducing overinvestment. Cross-sectional tests suggest that these effects operate at least in part through both a financing channel and a monitoring channel. Taken together, our results suggest that analysts' capex forecasts convey useful information about firms' growth opportunities to managers and investors, which can facilitate efficient investment.     

What is digital possession and how to study it: a conversation with Russell Belk,Rebecca Mardon,Giana M. Eckhardt,Varala Maraj,Will Odom,Massimo Airoldi,Alessandro Caliandro,Mike Molesworth and Alessandro Gandini

ABSTRACT

The platformisation of digital consumption, means that increasingly many of the things that we call ours – our messages, photos, music, achievements – are entangled in complex socio-technical arrangements which require ongoing market mediation. In this context, refining our understanding of what digital possessions are and how to study them is vital. This requires refocusing research away from existing comparative analyses between digital and material possessions. To do so, we organised an interdisciplinary roundtable discussion with critical marketers and digital media scholars, consumer researchers, digital sociologists and researchers in Human Computer Interaction (HCI) at the 11^th Interpretive Consumer Research Conference held in Lyon in May 2019. The result of that discussion is this curation of comments which deal with theoretical, methodological and critical issues and a bold agenda for future research.     

Inspirational leadership,positive mood,and team innovation: A moderated mediation investigation into the pivotal role of professional salience

Multidisciplinary teams are increasingly advocated for in healthcare policy consequent to their capacity to develop innovative solutions to seemingly intractable service and care challenges. Recent arguments that inspirational leadership styles may foster innovation in multidisciplinary teams point to their potential value in this effort. However, inconsistency in the capacity of such leaders to engender innovation highlights the need to understand the mechanisms and boundary conditions that determine when such leadership generates positive effects. We argue that follower positive mood acts to mediate the path between inspirational leadership and innovation and may account for its variable effects. By increasing positive team mood, inspirational leaders can potentially bring about more flexible thinking and enhance innovation but can also increase reliance on less effortful information processing, undermining innovative potential. In an effort to address the dilemma posed by these contrasting effects, we propose that professional salience acts as an important boundary condition of this relationship such that only when profession is salient do inspirational leaders enhance multidisciplinary team innovation through positive mood. An analysis of survey data from 60 UK‐based multidisciplinary healthcare teams, investigating the inspirational leadership of practice‐based innovation, supports our moderated mediation model. Finally, the implications for HRM are considered, specifically for leader development and work team design.     

Hoglex Demand Systems and Welfare Policy in Major Asean Developing Countries: A Bayesian Analysis Using Expenditure Unit Records

The HOGLEX demand system (Tran Van Hoa (1983, 1985)) is integrable and flexible in the sense that it is based on utility maximization and encompasses most other well-known demand systems (e.g., LINEX, AIDS) in the literature on consumer behaviour (Laitinen et al. (1983)). HOGLEX studies to date have been based on conventional OLS or MLE methods and panel aggregate income and price data, and restricted to investigating consumption patterns. The paper elaborates on three important subsets of the HOGLEX demand system and, using household expenditure unit records from two major ASEAN developing countries (i.e., Thailand and the Philippines), estimates by the Bayesian method these subsets for 20 socio-demographic cohorts, and discusses their substantial implications in social security and welfare policy analysis. We also estimate the models in the more practical case of measurement errors in total expenditure and compare the results with those without measurement errors.

     

Faculty turnover within academics: The case of business professors

One cause of educational problems within business schools may be rapid turnover of faculty. The various consequences of that turnover, both good and bad, and a beginning for solution efforts, are the subject of this analysis.