The evolution of world trade from 1995 to 2014: A network approach

This paper employs network analysis to study world trade from 1995 to 2014. We focus on the main connective features of the world trade network (WTN) and their dynamics. Results suggest that countries’ efforts to attain the benefits of trade have resulted in an intertwined network that is increasingly dense, reciprocal, and clustered. However, these features do not correspond to a linear aggregation of the characteristics of its constituents (trade sectors). Trade linkages are distributed homogeneously among countries, but their intensity (i.e. their value) is highly concentrated in a small set of countries. The main connective features of the WTN were not affected by the 2007–2008 international financial crisis. However, we find that the crisis marks a turning point in the evolution of the WTN from a two-group (led by the US and Germany) to a three-group (led by the US, Germany, and China) hierarchical structure.     

Inequality and entrepreneurial thresholds

We explore the relationship between inequality and entrepreneurial activity. Drawing on cross-sectional data from a largescale survey of the economic conditions of individuals across India, we develop a number of dimensions of inequality to explore empirically how inequality interacts with entrepreneurship, operationalized as self-employment or as employing other people. We find compelling evidence that there are thresholds to becoming self-employed, and even more so to assembling the combinations of resources and personal attributes required to become an employer. Greater inequality leaves more people unable to make the transition to self-employment, leaving casual laboring as the occupation of necessity. At the same time, inequality increases the number of employers in a society, by concentrating resources - particularly land and finance - enough for significant numbers of people to be able to cross this higher threshold. Lastly, greater differentiation into social or religious groups curtails the ability to cross either entrepreneurial threshold, presumably by limiting the extent and benefits of social networks of value for entrepreneurship.     

Perceptions of Urban Parks as Havens and Contested Terrains by Mexican-Americans in Chicago Neighborhoods

The objectives of this study were to (1) identify the benefits of parks for Mexican-American urban residents and the roles they play in the dynamics of their communities and (2) explore issues related to their existence and utilization in Latino communities. Bedimo-Rung, Mowen, and Cohen's (2005) model of the Role of Parks in Public Health was employed as a conceptual framework in this study. Data were collected in the summer of 2007 with two focus groups with 26 Mexican-American residents from two predominantly minority Chicago communities. Benefits of urban parks for Mexican-American residents were classified into five categories—environmental, social, psychological health, physical health, and cultural. The study also identified many problems related to the existence and utilization of parks in Latino communities that detracted from the benefits Mexican-Americans could obtain from visiting parks. They included insufficient access to parks, poor maintenance of the existing parks, crime and safety issues, and interracial conflict and discrimination. A new framework was proposed to model the benefits of parks for minority urban residents and factors that affect utilization of parks in minority communities.     

The relationship of perception of time and attributes of leisure in daily experiences

The purpose of this study was to explore the relationship between perceived passage of time (slowly versus quickly) and perceived freedom, enjoyment, interest and subjective meaning of leisure in daily experiences of married couples. Eleven college-age married couples participated in this study. Data were collected using experience sampling method that produced a total of 650 self-reports. Couples were signalled at random five times a day for one week. Using logistic regression results suggest that some leisure attributes are more relevant in influencing perception of passage of time in husbands' and wives' daily experiences.     

Teaching HRM in contemporary hospitality management: a case study drawing on HR analytics and big data analysis

In this article, we discuss how hospitality students can leverage new technology and new HRM metrics from a combination of a traditional format case study and innovative data spreadsheets. We offer a teaching case study that combines the strategic dimensions of HRM with practice-driven data analysis anchored in HR analytics and HR big data mining. We argue that this combination helps identify, develop, and promote appropriate managerial skills among students.     

Why do firms seek to share human resource management knowledge? The importance of inter-firm networks

This study untangles the social processes and inter-firm mechanisms underlying human resource management (HRM) knowledge networks. The research questions serve to advance understanding of why HRM knowledge flows between firms under contractual relationships and in the absence of formal relationships. The study analyzes data from a complete network of 51 high-technology firms located in a science and technology park to report the structural properties and relational dimensions of inter-firm flow of HRM knowledge. The results from this social network analysis show that the firms in the study actively engage in the sharing of HRM knowledge. Specifically, the results not only indicate the preeminence of formal ties but also of relational factors relating to firm legitimacy, prestige, and collaborative interaction. Participation in inter-firm knowledge networks appears to be an effective tool for obtaining HRM knowledge as well as for enhancing legitimacy and prestige between firms and developing trust and reciprocity within collaborative relationships.     

Bounds on European Option Prices under Stochastic Volatility

In this paper we consider the range of prices consistent with no arbitrage for European options in a general stochastic volatility model. We give conditions under which the infimum and the supremum of the possible option prices are equal to the intrinsic value of the option and to the current price of the stock, respectively, and show that these conditions are satisfied in most of the stochastic volatility models from the financial literature. We also discuss properties of Black–Scholes hedging strategies in stochastic volatility models where the volatility is bounded.     

Increasing a brand’s competitive clout: the role of market share,consumer preference,and price sensitivity

The market power (or ‘competitive clout’) of a brand is an increasingly important component of modern marketing strategies. However, the factors that enhance a brand’s competitive clout (BCC) are poorly understood. This study therefore suggests an integrated model of BCC and three factors that are proposed to play a role in its formation: (i) consumer price sensitivity; (ii) brand market share; and (iii) consumer brand preferences. These variables are examined both individually and simultaneously to demonstrate the direct effect of each on BCC and how their inter-relationships contribute to BCC. In doing so, a two-step empirical analysis is conducted. First, two multinomial logit models provide an own- and a cross-price response matrix for a chosen set of competitive brands. Secondly, BCC is regressed against the variables of market share, intrinsic preferences, and price sensitivity using an interaction effects regression model. The results of the analysis show that market share is not the only way to increase BCC; in particular, consumer preferences, and especially pricing decisions, are shown to play a key role in developing a strong brand.     

Why is timing perverse?

The existence of negative market timing, even for passive portfolios, poses a relevant puzzle when assessing portfolio management. In this paper, we develop a simple theoretical model so as to explain why such perverse market timing might occur and why those stocks with the lowest beta in upward markets exhibit pronounced negative timing. Our explanation is based on the existence of higher correlations of stocks in down markets than in up markets. We find that changes in beta, which drives timing, has four components; however, just two of these, mean covariance shift and covariances dispersion map, serve to explain the asymmetric behavior across stocks. We find that a high percentage of the negative market timing ability identified for mutual funds in the literature could be explained by this bias.