The replicability of some scientific findings has recently been called into question. To contribute data about replicability in economics, we replicated 18 studies published in the American Economic ...Review and the Quarterly Journal of Economics between 2011 and 2014. All of these replications followed predefined analysis plans that were made publicly available beforehand, and they all have a statistical power of at least 90% to detect the original effect size at the 5% significance level. We found a significant effect in the same direction as in the original study for 11 replications (61%); on average, the replicated effect size is 66% of the original. The replicability rate varies between 67% and 78% for four additional replicability indicators, including a prediction market measure of peer beliefs.
Being able to replicate scientific findings is crucial for scientific progress
. We replicate 21 systematically selected experimental studies in the social sciences published in Nature and Science ...between 2010 and 2015
. The replications follow analysis plans reviewed by the original authors and pre-registered prior to the replications. The replications are high powered, with sample sizes on average about five times higher than in the original studies. We find a significant effect in the same direction as the original study for 13 (62%) studies, and the effect size of the replications is on average about 50% of the original effect size. Replicability varies between 12 (57%) and 14 (67%) studies for complementary replicability indicators. Consistent with these results, the estimated true-positive rate is 67% in a Bayesian analysis. The relative effect size of true positives is estimated to be 71%, suggesting that both false positives and inflated effect sizes of true positives contribute to imperfect reproducibility. Furthermore, we find that peer beliefs of replicability are strongly related to replicability, suggesting that the research community could predict which results would replicate and that failures to replicate were not the result of chance alone.
Past research has suggested that social networking sites are the most common source for social engineering-based attacks. Persuasion research shows that people are more likely to obey and accept a ...message when the source's presentation appears to be credible. However, many factors can impact the perceived credibility of a source, depending on its type and the characteristics of the environment. Our previous research showed that there are four dimensions of source credibility in terms of social engineering on Facebook: perceived sincerity, perceived competence, perceived attraction, and perceived worthiness. Because the dimensionalities of source credibility as well as their measurement scales can fluctuate from one type of source to another and from one type of context to another, our aim in this study includes validating the existence of those four dimensions toward the credibility of social engineering attackers on Facebook and developing a valid measurement scale for every dimension of them.
Research suggests that social engineering attacks pose a significant security risk, with social networking sites (SNSs) being the most common source of these attacks. Recent studies showed that ...social engineers could succeed even among those organizations that identify themselves as being aware of social engineering techniques. Although organizations recognize the serious risks of social engineering, there is little understanding and control of such threats. This may be partly due to the complexity of human behaviors in failing to recognize attackers in SNSs. Due to the vital role that impersonation plays in influencing users to fall victim to social engineering deception, this paper aims to investigate the impact of source characteristics on users' susceptibility to social engineering victimization on Facebook. In doing so, we identify source credibility dimensions in terms of social engineering on Facebook, Facebook-based source characteristics that influence users to judge an attacker as per these dimensions, and mediation effects that these dimensions play between Facebook-based source characteristics and susceptibility to social engineering victimization.
IT Governance (ITG) continues to be a top priority for organizations, public and non-public. While the level of awareness towards ITG is evident, it is hardly manifested in practice. The purpose of ...this study is to elicit factors that act as barriers to the adoption of formal ITG practice. This qualitative study consists of 9 semi-structured interviews with the key person in charge of ITG adoption and practice within their respective organizations. The interviews were analyzed using thematic content analysis, guided by themes previously obtained from the literature and from an earlier pilot study. Findings obtained supported previous findings and also reveal new factors noticeably absent from the ITG literature. The findings will provide useful input towards the development of a causal model on barriers to formal ITG practice.
Good management, supported by accurate, timely and reliable health information, is vital for increasing the effectiveness of Health Information Systems (HIS). When it comes to managing the ...under-resourced health systems of developing countries, information-based decision making is particularly important. T his paper reports findings of a self-report survey that investigated perceptions of local health managers (HMs) of their own regional HIS in Sri Lanka. Data were collected through a validated, pre-tested postal questionnaire, and distributed among a selected group of HMs to elicit their perceptions of the current HIS in relation to information generation, acquisition and use, required reforms to the information system and application of information and communication technology (ICT). Results based on descriptive statistics indicated that the regional HIS was poorly organised and in need of reform; that management support for the system was unsatisfactory in terms of relevance, accuracy, timeliness and accessibility; that political pressure and community and donor requests took precedence over vital health information when management decisions were made; and use of ICT was unsatisfactory. HIS strengths included user-friendly paper formats, a centralised planning system and an efficient disease notification system; weaknesses were lack of comprehensiveness, inaccuracy, and lack of a feedback system. Responses of participants indicated that HIS would be improved by adopting an internationally accepted framework and introducing ICT applications. Perceived barriers to such improvements were high initial cost of educating staff to improve computer literacy, introduction of ICTs, and HIS restructure. We concluded that the regional HIS of Central Province, Sri Lanka had failed to provide much-needed information support to HMs. These findings are consistent with similar research in other developing countries and reinforce the need for further research to verify causes of poor performance and to design strategic reforms to improve HIS in regional Sri Lanka.
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Dostopno za:
DOBA, IZUM, KILJ, NUK, OILJ, PILJ, PNG, SAZU, SIK, UILJ, UKNU, UL, UM, UPUK, VSZLJ
This paper re-conceptualizes "information system success" as a formative, multidimensional index. Such a validated and widely accepted index would facilitate cumulative research on the impacts of IS, ...while at the same time provide a benchmark for organizations to track their IS performance. The proposed IS-Impact measurement model represents the stream of net benefits from an Information System (IS), to date and anticipated, as perceived by all key user groups. Model measures are formulated to be robust, economical, and simple, yielding results that are comparable across diverse systems and contexts, and from multiple user perspectives. The model includes four dimensions in two halves. The "impact" half measures benefits to date, or Individual-and Organizational Impact; the "quality" half uses System Quality and Information Quality as proxies for probable future impacts. Study findings evidence the necessity, additivity, and completeness of these four dimensions. The validation study involved three separate surveys, including exploratory and confirmatory phases preceded by an identification survey. Content analysis of 485 qualitative impacts cited by 137 respondents from across 27 Australian Government Agencies that implemented SAP Financials in the late 90s, identified salient dimensions and measures. The resultant a-priori model ("pool" of 37 measures) was operationalized in the subsequent specification survey, yielding 310 responses across the same 27 agencies. The confirmation survey, employing 27 validated measures from the specification survey, was next conducted in a large university that had implemented ORACLE Financials. Confirmatory analysis of the 153 responses provides further strong evidence of model validity.
The idea of extracting knowledge from log data for both data mining and process mining emphasises data flow and relations among data items in the data. Unfortunately, challenges have been encountered ...when working with the data flow and relations. One of the challenges is that the representation of the data flow between a pair of elements or tasks is insufficiently simplified and formulated, as it considers only a one-to-one data flow relation. In this paper, we discuss how to effectively represent dependency relations in log data. To this end, we introduce a new representation of the data flow and dependency formulation using an extracted flow graph. The solution solves the issue of the insufficiency of presenting other relation types, such as many-to-one and one-to-many relations. As an experiment, a new evaluation framework is applied to the Teleclaim process in order to show how this method can provide us with more precise results when compared with other definitions.
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Dostopno za:
DOBA, IZUM, KILJ, NUK, PILJ, PNG, SAZU, UILJ, UKNU, UL, UM, UPUK
Although the benefits of service orientation are prevalent in literature, a review, analysis, and evaluation of the 30 existing service analysis approaches presented in this paper have shown that a ...comprehensive approach to the identification and analysis of both business and supporting software services is missing. Based on this evaluation of existing approaches and additional sources, we close this gap by proposing an integrated, consolidated approach to business and software service analysis that combines and extends the strengths of the examined methodologies.
The idea of extracting knowledge in process mining is a descendant of data mining. Both mining disciplines emphasise data flow and relations among elements in the data. Unfortunately, challenges have ...been encountered when working with the data flow and relations. One of the challenges is that the representation of the data flow between a pair of elements or tasks is insufficiently simplified and formulated, as it considers only a one-to-one data flow relation. In this paper, we discuss how the effectiveness of knowledge representation can be extended in both disciplines. To this end, we introduce a new representation of the data flow and dependency formulation using a flow graph. The flow graph solves the issue of the insufficiency of presenting other relation types, such as many-to-one and one-to-many relations. As an experiment, a new evaluation framework is applied to the Teleclaim process in order to show how this method can provide us with more precise results when compared with other representations.
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