Hazard Analysis and Safety Requirements for Small Drone Operations: To What Extent Do Popular Drones Embed Safety?

Currently, published risk analyses for drones refer mainly to commercial systems, use data from civil aviation, and are based on probabilistic approaches without suggesting an inclusive list of hazards and respective requirements. Within this context, this article presents: (1) a set of safety requirements generated from the application of the systems theoretic process analysis (STPA) technique on a generic small drone system; (2) a gap analysis between the set of safety requirements and the ones met by 19 popular drone models; (3) the extent of the differences between those models, their manufacturers, and the countries of origin; and (4) the association of drone prices with the extent they meet the requirements derived by STPA. The application of STPA resulted in 70 safety requirements distributed across the authority, manufacturer, end user, or drone automation levels. A gap analysis showed high dissimilarities regarding the extent to which the 19 drones meet the same safety requirements. Statistical results suggested a positive correlation between drone prices and the extent that the 19 drones studied herein met the safety requirements generated by STPA, and significant differences were identified among the manufacturers. This work complements the existing risk assessment frameworks for small drones, and contributes to the establishment of a commonly endorsed international risk analysis framework. Such a framework will support the development of a holistic and methodologically justified standardization scheme for small drone flights.     

Bureaucratic Bashing and Praising: What Effect Does it Have on the Performance Citizens Assign Agencies?

Public Organization Review - An online experimental survey was conducted to examine the impact of bureaucracy framing on respondents’ views regarding the performance of a local government...     

To What Extent Are Labor‐Saving Technologies Improving Efficiency in the Use of Human Resources? Evidence from the Banking Industry

With special reference to the banking industry, the objective of this study is to address managerial concerns over the impact of labor‐saving technologies on efficiency in the use of human resources. A bank is viewed as a collection of human, technology, and capital resources. Labor‐saving technologies are represented by two categories of technology resources—information technologies and patented in‐house process innovations. The estimation of a stochastic frontier manpower‐requirement function shows that, whereas information technology resources have a direct impact on efficiency in the use of human resources, in‐house process innovations have an indirect impact through spillovers. The reduction in labor costs resulting from a more efficient use of human resources is more than enough to cover the required increase in information technology expenditures. This cost‐reducing impact is stronger for firms currently employing a lower level of information technologies. The empirical findings also suggest a complementary relationship between information technologies and spillovers of in‐house process innovations. The empirical framework proposed in this study can help decision makers determine the optimal input mix of technology and human resources.     

Does power corrupt the mind? The influence of power on moral reasoning and self-interested behavior

We test whether leaders' power shapes their reasoning about moral issues and whether such moral reasoning subsequently influences leaders' display of self-interested behavior. We use an incentivized experiment to manipulate two components of leader power: power over more versus fewer followers and power to enforce one's will by having discretion over more versus fewer payout options to allocate between oneself and one's followers. We find that having power over more followers decreased leaders' principled moral reasoning, whereas having higher power to enforce one's will enabled leaders to engage in self-interested behavior. We also find suggestive evidence that power over increases self-interested behavior by decreasing principled moral reasoning; the effect of power to was not mediated by moral reasoning. These results illustrate that power activates self-interest within and outside the context in which power is held. They also show that moral reasoning is not a stable cognitive process, but that it might represent an additional path via which power affects self-interested behavior.     

Overconfidence at work: Does overconfidence survive the checks and balances of organizational life?

This review considers the role of overconfidence in organizational life, focusing on ways in which individual-level overconfidence manifests in organizations. The research reviewed offers a pessimistic assessment of the efficacy of either debiasing tools or organizational correctives, and identifies some important ways in which organizational dynamics are likely to exacerbate overconfidence among individuals. The organizational consequences of overconfidence can be substantial, especially when it comes from those at the top of the organization. However, there are also reasons to suspect that the research literature exaggerates the prevalence of overconfidence.     

Parameters of a Dose‐Response Model Are on the Boundary: What Happens with BMDL?

It is well known that, under appropriate regularity conditions, the asymptotic distribution for the likelihood ratio statistic is χ². This result is used in EPA's benchmark dose software to obtain a lower confidence bound (BMDL) for the benchmark dose (BMD) by the profile likelihood method. Recently, based on work by Self and Liang, it has been demonstrated that the asymptotic distribution of the likelihood ratio remains the same if some of the regularity conditions are violated, that is, when true values of some nuisance parameters are on the boundary. That is often the situation for BMD analysis of cancer bioassay data. In this article, we study by simulation the coverage of one- and two-sided confidence intervals for BMD when some of the model parameters have true values on the boundary of a parameter space. Fortunately, because two-sided confidence intervals (size 1–2α) have coverage close to the nominal level when there are 50 animals in each group, the coverage of nominal 1−α one-sided intervals is bounded between roughly 1–2α and 1. In many of the simulation scenarios with a nominal one-sided confidence level of 95%, that is, α= 0.05, coverage of the BMDL was close to 1, but for some scenarios coverage was close to 90%, both for a group size of 50 animals and asymptotically (group size 100,000). Another important observation is that when the true parameter is below the boundary, as with the shape parameter of a log-logistic model, the coverage of BMDL in a constrained model (a case of model misspecification not uncommon in BMDS analyses) may be very small and even approach 0 asymptotically. We also discuss that whenever profile likelihood is used for one-sided tests, the Self and Liang methodology is needed to derive the correct asymptotic distribution.     

The influence of psychopathic traits on the acceptance of white-collar crime: do corporate psychopaths cook the books and misuse the news?

Due to several empirical shortcomings in the research of personality characteristics in ethical decision making, we address in this paper the concept of corporate psychopathy in the organizational context. Corporate psychopaths are individuals successfully working in organizations, but are selfish, manipulative, and exhibit a lack of empathy, remorse, and conscience; therefore, they may be viewed as risk factors for organizations. While there is abundant literature on the connection between clinical psychopathy and criminal behavior, such research is scarce in the business context where successful psychopaths operate. Thus, we examine if the malevolent traits of corporate psychopaths predict the acceptance of different forms of white-collar crime. In doing so, we conduct two survey studies in which we first measure participants’ psychopathic tendencies and then assess their acceptance of either an accounting fraud or an insider-trading situation. Consistent with our hypotheses and across both studies, we find a highly significant relationship between personality traits that are associated with corporate psychopathy and the acceptance of white-collar crime. This paper discusses the implications of these findings and identifies some potentially useful approaches for excluding corporate psychopaths from organizations.     

A Multi‐theory Perspective of Board Leadership Structure: What Does the Egyptian Corporate Governance Context Tell Us?

Much of the existing research in corporate governance has been directed at examining the consequences of board leadership structure on various organizational issues, with little to say about the determinants of this structure. By exploring either agency theory or stewardship theory, researchers provide contested conclusions regarding board leadership structure. The underlying premise of both theories is that ‘one universal structure fits all’. However, the main argument of this paper is that the appropriate board leadership structure varies with some contextual variables and certain actors in a given environment. Econometric analysis demonstrates that board leadership structure varies with firm size, age and ownership structure. The implication of this result is that the assertion of both agency theory (CEO non‐duality structure) and stewardship theory (CEO duality structure) may be valid under certain conditions. Thus, existing theories might need to be treated as complementary viewpoints, each of which draws upon a part of the whole picture, because depending on just one single perspective is more likely to result in misleading conclusions about the structure as a whole.     

Does superstition help? A study of the role of superstitions and death beliefs on death anxiety amongst Chinese undergraduates in Hong Kong

Past research has shown that traditional Chinese death beliefs, which mostly consisted of superstitious thoughts, are related to death anxiety. However, other studies have shown that superstitions may help people cope with uncertainty and, therefore, reduce uncertainty-induced anxiety. The role of superstitions, whether related to heightened death anxiety or reduced death anxiety, is unclear. This study attempted to address the knowledge gap by examining the relationships among superstitions and Chinese death beliefs on death anxiety in the Chinese context. One hundred twenty-four undergraduates in Hong Kong completed measures of superstition (R-PBS), death anxiety (MFODS), and Chinese death beliefs scale. Superstition was found to be predictor of death anxiety, as expected. With superstitions highly prevalent in Chinese societies, the study has practical implications in end-of-life care, bereavement support, and death education in the Chinese context.     

Beyond the Balm of Communicative Planning: Can Actor -Network Theory Insights and a More Agonistic Practice Help Unlock Creative ‘Post-Conflict’ Potential?: Towards a Renewed Research Horizon in Northern Ireland

In a situation, where tribal tram lines seem stuck in place this commentary suggests that an imaginative jolt taking into account recent thinking in planning theory may be warranted and go some small way to subvert the current state of stasis on the still contested terrain of Northern Ireland/North of Ireland. The alliance of procedural agonism and analytical actor network theory (ANT) offers, it is suggested, the augmented potential of a more conceptually diverse approach to planning in terms of conjuring with spatial imaginaries and airing latent outcomes, where communicative planning on its own has exhibited imaginative limitations.     

Hazardous Times for Monetary Policy: What Do Twenty‐Three Million Bank Loans Say About the Effects of Monetary Policy on Credit Risk‐Taking?

We identify the effects of monetary policy on credit risk‐taking with an exhaustive credit register of loan applications and contracts. We separate the changes in the composition of the supply of credit from the concurrent changes in the volume of supply and quality, and the volume of demand. We employ a two‐stage model that analyzes the granting of loan applications in the first stage and loan outcomes for the applications granted in the second stage, and that controls for both observed and unobserved, time‐varying, firm and bank heterogeneity through time*firm and time*bank fixed effects. We find that a lower overnight interest rate induces lowly capitalized banks to grant more loan applications to ex ante risky firms and to commit larger loan volumes with fewer collateral requirements to these firms, yet with a higher ex post likelihood of default. A lower long‐term interest rate and other relevant macroeconomic variables have no such effects.