ABSTRACT
This research presents the results of a survey regarding scientific misconduct and questionable research practices elicited from a sample of 1215 management researchers. We find that misconduct (research that was either fabricated or falsified) is not encountered often by reviewers nor editors. Yet, there is a strong prevalence of misrepresentations (method inadequacy, omission or withholding of contradictory results, dropping of unsupported hypotheses). When it comes to potential methodological improvements, those that are skeptical about the empirical body of work being published see merit in replication studies. Yet, a sizeable majority of editors and authors eschew open data policies, which points to hidden costs and limited incentives for data sharing in management research.
Subject(s)
Empirical Research , Publishing/ethics , Publishing/statistics & numerical data , Scientific Misconduct/ethics , Scientific Misconduct/psychology , Scientific Misconduct/statistics & numerical data , Competitive Behavior/ethics , Ethics, Research , Female , Humans , Logistic Models , Male , Motivation , Periodicals as Topic , Reproducibility of Results , Surveys and QuestionnairesABSTRACT
This article reinvestigates the relationship between real per capita gross domestic product (GDP) and terrorism. We devise a terrorism Lorenz curve to show that domestic and transnational terrorist attacks are each more concentrated in middle-income countries, thereby suggesting a nonlinear income-terrorism relationship. Moreover, this point of concentration shifted to lower income countries after the rising influence of the religious fundamentalist and nationalist/separatist terrorists in the early 1990s. For transnational terrorist attacks, this shift characterized not only the attack venue but also the perpetrators' nationality. The article then uses nonlinear smooth transition regressions to establish the relationship between real per capita GDP and terrorism for eight alternative terrorism samples, accounting for venue, perpetrators' nationality, terrorism type, and the period. Our nonlinear estimates are shown to be favored over estimates using linear or quadratic income determinants of terrorism. These nonlinear estimates are robust to additional controls.