Creating sustainable value in the hospitality industry: a (critical) multi-stakeholder study in the Dominican Republic

This paper identifies sustainable initiatives reported by “sustainability-champion” hotels in the Dominican Republic, while contrasting them against the views of key stakeholders. We adapt and apply Hart and Milstein's Sustainable Value Framework, and complement it with a Critical Management Studies approach. Our analysis relies on a mixed-methods approach (non-hierarchical k-means cluster analysis, as well as thematic and content analysis). Findings indicate that most hotels are engaging more actively in present-oriented strategies such as pollution prevention (especially, the international hotels) and in product/service stewardship. However, in the future-oriented strategies, hotels owned by local investors show higher commitment to both clean technology and innovation, and to the sustainability vision (as the firm's growth path). In addition, although the views of multiple stakeholders show a clear acknowledgment of the hospitality industry's sustainability efforts (particularly regarding education and environmental protection), they also offer differing views about the ultimate impact and value of those efforts for them and for the broader society. Our study offers a new theoretical lens to explore multi-stakeholder approaches and offers practical implications for the Dominican Republic's National Strategy for Development 2010–2030, as well as implications that may be of use for other tourism-dependent countries.     

How Central Is Too Central? Organizing Interorganizational Collaboration Networks for Breakthrough Innovation

Firms increasingly look to collaboration with alliance partners in their quest for breakthrough innovation. But how does the position of a firm in its alliance network weighted by the centrality of its partners—a concept which we term “partner‐weighted alliance centrality”—and the heterogeneities in the types of partners that it cooperates with—in terms of its private‐public collaboration—influence this quest? Using longitudinal data from the U.S. pharmaceutical industry, we build alliance networks in the period 1985–2001 to investigate these questions. We show that, for breakthrough innovation, collaborating with more partners that are more central in alliance networks the better, but only to a point. Beyond that point, we find that the likelihood of achieving breakthrough innovation drops. Furthermore, and looking at the kinds of knowledge provided by the partners in each firm's alliances, we report that firms with a greater share of private partners, relative to public partners, suffer less from the diminishing benefits of collaboration with central partners when developing breakthrough innovation. Taken together, we make novel contributions about how to organize for breakthrough innovation, and provide actionable managerial advice in terms of selecting collaborative partners in alliance networks.     

Trade and the Environment: The Role of Firm Heterogeneity

In this paper, we derive a new effect of trade liberalization on the quality of the environment. We show that in the presence of heterogeneous firms, the aggregate volume of emissions is influenced by a reallocation effect resulting from an increase in the relative size of more productive firms. The relative importance of this reallocation effect and the scale effect well‐known from the literature is affected by the emission intensity at the firm level. Domestic emissions decrease as a result of a unilateral tariff reduction if and only if firm‐specific emission intensity decreases strongly with increasing firm productivity. As a result of the induced change in foreign emissions, domestic pollution can increase even if domestic emissions decrease.     

Nanotechnology and the new technological revolution: Expectations and reality

This paper reviews the existing mechanisms of innovative development in the world economy focusing on emerging technologies markets evolution on the example of nanotechnology. The question has been raised of whether nanotechnologies can provide the core of the new technological revolution, and whether these prospects exist for NBIC convergence. In this connection the development of the global market for nano-enabled products following the 2007–2009 crisis and the reliability of the related development forecasts have been assessed. Particular attention has been paid to peculiarities of nanoenabled product market structure and the impact of stagnating R&D costs in the field of nanotechnology.     

Global financial crisis and dependence risk analysis of sector portfolios: a vine copula approach

We use regular vine (r-vine), canonical vine (c-vine) and drawable vine (d-vine) copulas to examine the dependence risk characteristics of three 20-stock portfolios from the retail, manufacturing and gold-mining equity sectors of the Australian market in periods before, during and after the 2008–2009 global financial crisis (GFC). Our results indicate that the retail portfolio is less risky than the manufacturing counterpart in the crisis period, while the gold-mining portfolio is less risky than both the retail and manufacturing sector portfolios. Both the retail and gold stocks display a higher propensity to yield positively skewed returns in the crisis periods, contrary to the manufacturing stocks. The r-vine is found to best capture the multivariate dependence structure of the stocks in the retail and gold-mining portfolios, while the d-vine does it for the manufacturing stock portfolio. These findings could be used to develop dependence risk- and investment risk-adjusted strategies for investment, rebalancing and hedging which more adequately account for the downside risk in various market conditions.     

A Representative Committee by Approval Balloting

A new voting rule for electing committees is described. Specifically, we use approval balloting and propose a new voting procedure that guarantees that if there is a committee that represents (with a given proportion of representatives) all of the existing voters, then the selected committee has to represent all of voters in at least the same proportion. This property is a way of selecting a committee that represents completely all of voters when such a committee exists. The usual voting rules in this context do not satisfy this condition.     

Understanding repeat playing behavior in casual games using a Bayesian data augmentation approach

With an estimated market size of nearly $18 billion in 2016, casual games (games played over social networks or mobile devices) have become increasingly popular. Because most casual games are free to install, understanding repeat playing behavior is important for game developers as it directly drives advertising revenue. Game developers are keenly interested in benchmarking their game versus the market average, and understanding how genre and various game mechanics drive repeat playing behavior. Such cross-sectional analysis, however, is difficult to conduct because individual-level data on competitors’ games are not publicly available, and that the casual gaming industry is highly fragmented with each firm making only a handful of games.I develop a Bayesian approach, based on a parsimonious Hidden Markov Model at the individual level in conjunction with data augmentation, to study repeat playing behavior using only publicly available data. After applying the proposed approach to a sample of 379 casual games, I find that the average daily attrition rate across game is around 36.5%, with an average “play” rate of 47.9%, resulting in an average ARPU (average revenue per user) across games of around 20.5 cents. Certain genres are linked to higher attrition rates and play rates. In addition, giving out a “daily bonus” or limiting the amount of time that gamers can play each day are associated with a 17.7% and 16.4% higher ARPU, respectively.     

FDI Location and the Relevance of Spatial Linkages: Evidence from Provincial and Industry FDI in China

In this study both aggregate and industry‐level foreign direct investment (FDI) data are employed to investigate the spatial dependence of FDI hosts. The analysis contributes to the existing literature by focusing on the heterogeneous spatial correlation of FDI in different industries. Using more comprehensive FDI data across multiple industries and multiple provinces in China from 1999 to 2007, the results show a significant spatial correlation among provinces. Aggregate FDI tends to be regional trade platform oriented indicating neighboring provinces become competitors for FDI. In contrast, results based on industry‐level provincial FDI show stronger support for vertical or complex vertical FDI.     

Using partial identification methods to estimate the effect of violence against women on their children’s health outcomes

A growing literature in economics seeks to estimate the costs of violence against women by examining, for example, its impact on the health outcomes of their children. However, it is difficult to assign a causal interpretation to these nonexperimental studies due to the presence of unobservable characteristics affecting violence and health outcomes simultaneously. The lack of credible instrumental variables applicable in several countries further limits our knowledge. I address this gap by using new partial identification methods to estimate the relative size of the unobservables needed to eliminate the estimated effects in nonexperimental studies. I also expand the external validity of the analysis by using data from five standardized nationally representative household surveys in Latin America. Consistent with previous studies, cross-sectional estimates show large negative associations between violence against women and an array of child health outcomes. However, when accounting for omitted variable bias, at best, two-thirds of the estimates remain robust and they are concentrated on the outcomes with the largest cross-sectional estimated impacts.