Social capital and innovation in family firms: The moderating roles of family control and generational involvement

Drawing on the social capital literature, we examine whether the co-existence of distinct yet interacting social groups, namely family and non-family members, creates the conditions for increased family firm innovation. In particular, we theorize that family and non-family social capital have a joint positive effect on family firm innovation and this joint effect is stronger than the single effects of family and non-family social capital. In addition, we predict that while family control has a positive moderating effect, generational involvement has a negative moderating effect on the above-mentioned relationship. With supportive empirical results, our research makes important contributions to the existing literature.     

The influence of customer-to-customer interactions on elderly consumers’ satisfaction and social well-being

This study highlights the valuable role the hospitality industry can play in addressing a societal problem by studying how social interactions between elderly consumers and other customers influence the satisfaction and social well-being of the former. The data were collected from 268 elderly consumers in local coffee shops in the United Kingdom using a self-administrated questionnaire. The findings reveal that elderly customers’ interactions with other customers have a direct effect both on customer satisfaction and social well-being. They also show that social interactions with other customers have both direct and indirect effects on the social well-being of elderly customers. The study provides good evidence for how commercial hospitality settings can serve as a space for social exchange that helps to alleviate social isolation.     

What influences consumers’ intention to purchase organic personal care products? The role of social reassurance

Green and organic markets have grown rapidly in recent times, thanks to the increasing global popularity of having a healthier lifestyle. Rising consumer awareness of the risks of synthetic chemicals for humans as well as the environment have boosted the demand for organic personal care products (PCPs). To better understand the micro-mechanisms guiding the organic PCPs buying process, this study builds on the social proof theory by examining the drivers leading this process in two different national contexts. Partial least squares structural equation modelling was used to conduct a multigroup analysis on a sample of 473 consumers (n = 266 from Spain, n = 207 from Italy). Findings reveal the significant role of environmental value, product knowledge, convenience & quality, and information adoption. Furthermore, the study introduces and validates the new construct ‘social reassurance’ explaining the psychological mechanisms leading the organic PCPs buying process.     

Inferring latent social networks from stock holdings

We infer the latent social networks of investors using data on their stock holdings. We map linkages to portfolio weights using a portfolio-choice model. The precision of an investor’s private signal about firm value is assumed to increase with his connections in the city where the firm is headquartered. Using money-manager data, we find that managerial linkages to a city are overly dispersed relative to the Erdös–Rényi model of i.i.d. connections. Managers at the tail of this distribution with non-i.i.d. linkages have more university alumni in that city. Their stock holdings there outperform their holdings in other cities.     

Do your neighbors affect your bicycling choice? A spatial probit model for bicycling to The Ohio State University

Neighborhood social effects have recently become a focus of interest in transportation research, whereby transportation mode choice is not only affected by an individual’s characteristics and transportation system conditions, but also by the mode choices of that individual’s social neighbors. This study supports the neighborhood social effects argument, using a spatial econometrics approach and data from The Ohio State University (OSU) 2012 Campus Transportation Survey. A spatial probit model of commuters’ mode choices (bicycling versus non-bicycling) is estimated, accounting for spatial autocorrelation. The results show that the more OSU-affiliated bicycle riders are residing around an individual OSU commuter, the more attractive bicycling becomes, controlling for other factors such as gender, status, proximity to campus, bicycle infrastructure and attitudes. The results indicate that students and males are more likely to commute by bicycles. The probability of choosing bicycles decreases with distance from campus. In addition, proximity to bicycle infrastructure and physical environment both encourage respondents to bicycle. Feeling of safety, travel cost and concern for the environment also affect bicycling choice.     

Who could benefit from a bus rapid transit system in cities from developing countries? A case study from Kampala,Uganda

The present rapid urban growth of cities from developing countries causes negative externalities such as lagging infrastructure development. In combination with rapidly rising motorized vehicle use this leads to severe traffic congestion affecting the mobility of the urban residents. Therefore many urban governments are planning to improve their transport and mobility situations with mass rapid transit systems of which a bus rapid transit (BRT) is a rather easy system to implement at reasonable costs. However, due to high urban inequalities the effects of urban traffic and potential improvements of the urban transport system for the diverse group of urban residents can differ significantly. In our case study Kampala (Uganda) four main groups were identified through cluster analysis of socio-economic and residential data gathered through interviews: extreme poor, poor, middle income and rich. Each group experiences a different mobility with the extreme poor being the most vulnerable group. The planned BRT system aims to decrease the average travel time but risks to exclude the lowest income class since not enough attention is paid to the affordability of the system to all residents. Therefore we argue for a policy that works from bottom up and pays attention to the internal diversity of the population.     

‘Globesity’? The effects of globalization on obesity and caloric intake

We examine the effect of globalization, in its economic and social dimensions, on obesity and caloric intake, namely the so –called ‘globesity’ hypothesis. Our results suggest a robust association between globalization and both obesity and caloric intake. A one standard deviation increase in globalization is associated with a 23.8 percent increase in obese population and a 4.3 percent rise in calorie intake. The effect remains statistically significant even after using an instrumental variable strategy to correct for some possible reverse causality and ommited variable bias, a lagged structure, and corrections for panel standard errors. However, we find that the primary driver (of the ‘globesity’ phenomenon) is the ‘social’ rather than the ‘economic’ dimension of globalization, and specifically the effect of changes in ‘information flows’ and ‘social proximity’ on obesity. A one standard deviation increase in social globalization increased the percentage of obese population by 13.7 percent.     

Vegetarian Utopias: Visions of dietary patterns in future societies and support for social change

The current study draws on the collective futures framework to examine how visions of future societies where most people consume plant-based, vegetarian or vegan diets are related to current support for social change towards plant-based diets. Participants were 506 university students in Aotearoa New Zealand invited to imagine a society in 2050 where most individuals consume a plant-based, vegetarian, or vegan diet. A thematic analysis was conducted on responses to an open-ended item asking how these future societies would be different to today. Participants reported a variety of potential positive and negative outcomes for individuals and wider society. Subsequent analyses of attitudes scales investigated the relationships between the collective dimensions of plant-based future societies and support for policies to promote plant-based diets. For a vegetarian future, the strongest predictor of current support for social change was the expectation that widespread vegetarianism would reduce societal dysfunction. For a vegan future, the strongest predictor of support for social change was an expectation of increased warmth in a vegan society. Implications for theory and advocacy are discussed.     

How much could refuges help us recover from a global catastrophe?

Some global catastrophes (such as nuclear wars, pandemics, or an asteroid collision) might destroy civilization. Some propose building well-stocked shelters constantly staffed with people trained to rebuild civilization in such cases. These “refuges” would have an unimpressive expected cost per life saved, but could conceivably have an impressive expected cost per future generation allowed to exist. From some ethical perspectives that highly value future generations, building refuges may therefore seem like a promising idea. However, several factors significantly dilute the potential impact of refuges, even if the proposed catastrophes occur. Government/private disaster shelters, people working on submarines, and isolated peoples who prefer to be left alone serve these purposes to some extent already. Many proposed catastrophes do too much/too little damage for refuges to help, affect the environment in ways that make refuges largely irrelevant, or otherwise give relatively limited advantages to the people in refuges. In global food crises or social collapse scenarios, refuges would add little to aggregate stocks of population, resources, food, and relevant skills; but they may add something unique in terms of isolation and coordination. These potential benefits of refuges seem the most promising, and may be worthy of further analysis.     

Network games with incomplete information

We consider a network game with strategic complementarities where the individual reward or the strength of interactions is only partially known by the agents. Players receive different correlated signals and they make inferences about other players’ information. We demonstrate that there exists a unique Bayesian-Nash equilibrium. We characterize the equilibrium by disentangling the information effects from the network effects and show that the equilibrium effort of each agent is a weighted combinations of different Katz–Bonacich centralities.