Technology‐push,market‐demand and the missing safety‐pull: a case study of American Airlines Flight 587

Through a critical case study of the crash of American Airlines Flight 587, this paper draws upon ‘the Social Shaping of Technology’ (SST) approach to offer a reconceptualisation of the technology‐push and market‐demand model for High‐Reliably Organisations (HROs), providing support for a third factor, called here a ‘safety‐pull’. A safety‐pull is defined as organisationally supported reflexivity in which technology innovators and frontline operators collaborate to consider the potential implications of adopting new technologies in HROs and the complex ways this change may impact human operators' work performance, often in risky and unanticipated ways. In contrast to accidents occurring solely as the result of individual operator error, analysing the safety‐pull provides a way to tease out the wide range of factors that can contribute to HRO failures and offers a new SST perspective through which to examine high‐risk operations.     

‘I didn't feel like I was alone anymore’: evaluating self‐organised employee coping practices conducted via Facebook

The long‐term fracturing of the labour movement has led to increased attention to employee coping practices under new management practices and labour processes. However, the literature caters little for the recent rise of employees taking to social networking sites (SNSs), such as Facebook, to find ways to cope with the pressures of contemporary employment. To explore the self‐organised coping qualities of SNSs, interviews were conducted with front line workers, employed by a large anti‐trade union US retailer, who contribute to a self‐organised Facebook group set up as a place for fellow employees to deal with collective employment‐related problems. The main findings suggest employee self‐organised Facebook groups represent an important development and extension to the coping practices available to individual and groups of employees. The main implication of the findings is that Facebook groups appear to strengthen and widen the options for employee resilience in an age of continuing trade union retreat.     

The role of destination personality fit in destination branding: Antecedents and outcomes

Drawing from fit research in strategic management, this study develops and investigates a model predicting destination attitude and (re)visit intention. The study introduces the concept of destination personality fit on the basis of how well consumer perceptions of a tourist destination's brand personality fits that of what the destination brand manager wishes to convey. A model incorporating destination advertising awareness as an antecedent of destination personality and consumer‐manager destination personality fit is tested on international consumers with the destination personality of Switzerland as the study setting. Structural equation modeling results reveal that destination advertising awareness does indeed relate positively to both stronger perceived destination personality and destination personality fit in consumers’ minds. Interestingly, the subsequent destination personality–destination attitude relationship is moderated by consumer–manager destination personality fit in such a way that the link grows stronger in cases where fit is high. The results have important implications for destination brand managers in that they reinforce the importance of strong and distinct destination personalities. The findings also show the importance of actively communicating the destination brand to consumers since the positive outcomes of a strong destination personality increase in magnitude when successfully communicated, and the vision of the destination brand manager has been adopted by the consumer.     

Crime prediction by data-driven Green’s function method

We develop an algorithm that forecasts cascading events, by employing a Green’s function scheme on the basis of the self-exciting point process model. This method is applied to open data of 10 types of crimes happened in Chicago. It shows a good prediction accuracy superior to or comparable to the standard methods which are the expectation–maximization method and prospective hotspot maps method. We find a cascade influence of the crimes that has a long-time, logarithmic tail; this result is consistent with an earlier study on burglaries. This long-tail feature cannot be reproduced by the other standard methods. In addition, a merit of the Green’s function method is the low computational cost in the case of high density of events and/or large amount of the training data.     

Environmental Multi‐dimensionality and Staff Localization in Multinational Enterprises: The Case of Korean Firms

The person–environment fit theory posits that the term “environment” can be defined at different levels. This study delineates two environmental dimensions (strategic and organizational) and empirically examines the potential moderating effects of two strategic factors (intra‐ and inter‐regional diversification) on the relationship between two organizational factors (subsidiary ownership and host‐country experience) and MNE subsidiary staffing composition. The results indicate that strategic and organizational dimensions have impacts on subsidiary staffing composition. This study also finds that the interaction effects between strategic and organizational factors are significant only when there is congruence between demands from different environmental dimensions.     

Paired comparison models with age effects modeled as piecewise quadratic splines

We propose new models for analyzing pairwise comparison data, such as that relating to sports. We focus on changes in players’ strengths and the prediction of future results. Our models are based on the Thurstone-Mosteller and Bradley–Terry models, and make use of the time variation in the parameters. Furthermore, we apply our models to data from the Japanese traditional sport sumo, and analyze this data. The proposed models perform better than the standard Thurstone-Mosteller and Bradley–Terry models according to both the Akaike information criterion and the Brier score. We compare the proposed models in detail by focusing on individual sumo wrestlers.     

Appropriate assumption on cross-hauling national input–output table regionalization

Input–output tables are useful for regional economic analyses. Although scholars often regionalize national input–output tables, cost-related issues make surveying regional trade flow difficult; hence, non-survey approaches are implemented instead. While location quotient (LQ) approaches have been used widely, they ignore cross-hauling in interregional trade. Therefore, alternative non-survey approaches with different assumptions on cross-hauling are used, such as cross-hauling depends on regional size and cross-hauling is proportional to its potential determined by output or demand. This study concludes that the most appropriate assumption, as per the relative performance of non-survey approaches, is that cross-hauling is in proportion to trade volume.     

Bear beta

We test whether bear market risk, time variation in the probability of future bear market states, is priced. We construct an Arrow–Debreu security that pays off in bear market states (AD Bear) from traded Standard & Poor’s (S&P) 500 index options and use its returns to measure bear market risk. We find that bear beta (exposure to bear market risk) has a strong relation with expected stock returns that is robust, persistent, and remains strong among liquid and large stocks. Historical bear beta also predicts future bear market risk exposure. We conclude that bear market risk is priced in the cross section of stock returns.     

Stochastic volatility: A tale of co-jumps,non-normality,GMM and high frequency data

In this article we introduce a linear–quadratic volatility model with co-jumps and show how to calibrate this model to a rich dataset. We apply GMM and more specifically match the moments of realized power and multi-power variations, which are obtained from high-frequency stock market data. Our model incorporates two salient features: the setting of simultaneous jumps in both return process and volatility process and the superposition structure of a continuous linear–quadratic volatility process and a Lévy-driven Ornstein–Uhlenbeck process. We compare the quality of fit for several models, and show that our model outperforms the conventional jump diffusion or Bates model. Besides that, we find evidence that the jump sizes are not normally distributed and that our model performs best when the distribution of jump-sizes is only specified through certain (co-) moment conditions. Monte Carlo experiments are employed to confirm this.     

The organisation of urban agriculture in Cape Town,South Africa: A social capital perspective

This article explores urban agriculture in Cape Town and its organisational forms. Based on a literature review of peer-reviewed articles and grey literature, it examines the state of linkages among urban farmers and various supporting organisations of urban agriculture. Moreover, it examines the coordination of activities among key supporting organisations. By analysing the roles of state and non-state actors and linkages, the article discusses implications for the development of urban agriculture. This article suggests that a lack of effective coordination of initiatives among supporting actors presents a significant pitfall in the development of urban agriculture. Furthermore, the failure of farmers to self-organise is identified as equally detrimental. Therefore, it calls for improved synergies between state and non-state actors involved to ensure that the gains of urban agriculture are enhanced.