Competitive intelligence embeddedness: Drivers and performance consequences

The proliferation of Web-based information sources and social media draw firms' attention to these channels as sources of competitive intelligence (CI). To date, research has focused mainly on information collection techniques rather than on CI uses and its influence on firm performance. We define CI embeddedness as the extent to which management and employees incorporate CI in daily routines, so that actionable knowledge is transferred throughout the organization. A survey of 124 decision makers reveals positive impact of Web CI sources as well as alliances with information providers on CI embeddedness. Furthermore, while CI embeddedness shows no direct influence on firms’ performance, it has a mediated effect on performance through customer satisfaction.     

Modified tables for the selection of double sampling attribute plan indexed by aql and lql

This paper presents modified tables for the selection of double sampling plans for given Acceptable Qualtiy Level (AQL), producer’s risk (α) Limiting Quality Level (LQL), and consumer’s risk (ß) giving the minimum sum of Average Sample Numbers (ASN) at AQL and LQL under the conditions of the Poisson model for the Operating Characteristic (OC) curve.     

The shadows know me: Exploring the dark side of social media in the healthcare field

Nowadays, the increasing attention paid to the dark side of social media (SM) in the field of healthcare management has moved both researchers and practitioners to investigate the impact of Web 2.0 technologies with reference to SM, because of continuous distortion created by these SM platforms for patients and the real dark side they constitute, which affects both the patient sphere and its relative empowerment.Based on previous theoretical and managerial contributions, the paper aims to investigate both the bright and dark side of the effects of SM in the healthcare field, which affect improvements in patient empowerment. Notwithstanding, the exploratory study was developed through a common theoretical and conceptual framework to improve the understanding of emerging social and economic dynamics towards the paradigm provided by many studies on the dark side of Web 2.0.So far, established on previous contributions to the healthcare management domain, the exploratory study identifies a set of variables related to the conceptualisations of patient empowerment and the dark side of SM, with reference to cases of digital users both with and without chronic illnesses.Moving deeper, matching qualitative and quantitative approaches, the impact of the dark side of SM on patient empowerment was investigated using structural equation modelling through SPSS and R softwares, sampling about 650 individuals on the Italian population using computer-assisted web interviewing.Finally, results highlight considerable correlations between many dimensions explaining patient empowerment and the dark side of SM, showing a positive effect on the improvement in patient engagement, but potential critical risks and concerns due to a misinterpretation of online information highlighting the dark side of SM.     

Gender attitudes in the Arab region – The role of framing and priming effects

Most evidence on survey response effects is based in the Western world. We use data from two randomized experiments built into a nation-wide representative household survey in Tunisia to analyze the effects of framing and priming on responses to gender attitudes in the Arab context. Our first experiment shows that questions on attitudes towards decision-making power when framed in an equality frame reduce responses in favor of gender inequality. In our second experiment we find that responses to attitudes towards domestic violence are susceptible to an audio primer. Oral statistical information about the incidence of domestic violence in Tunisia increases disapproval of domestic violence among the male subsample further, but does not affect women. In terms of impact heterogeneity, we find mixed results for treatment interventions interacting with the gender of the interviewer and the interviewer’s perceived religiosity.     

The Decline and Fall of Type II Error Rates

For general linear models with normally distributed random errors, the probability of a Type II error decreases exponentially as a function of sample size. This potentially rapid decline reemphasizes the importance of performing power calculations.     

Interactive Health Communication Technologies in the Public Health Sector: Positive Perceptions Still Outpace Actual Utilization

ABSTRACT

Effective population-based and patient-centered public health care is highly dependent on timely and reliable health-related information. The continuous growth and availability of health-related information brought about by the emergence of a new digital communications environment offers a range of opportunities that facilitate access to useful health information for the public health sector–for providers as well as patients. Such advancements, however, can only be realized if public health professionals are knowledgeable about existing sources of online health information, have the ability to successfully judge the reliability of online health information, and are able to acquire the information in a timely and efficient manner. This research follows on the heels of a survey of public health professionals in New York State that concluded that limited access and knowledge negatively impacted utilization of interactive health communication technologies. In this study, a survey was administered to providers at a large county health department located in central Michigan. Results indicate that perceptions regarding the advantages of online health information still far outweigh actual utilization. Barriers to actual utilization include lack of easy access to computers with high-speed connections, trusted and timely online information, training and staff development issues, and organizational policies concerning computer access and usage.     

The Value of South and Southeast Asian Studies Journal Rankings

Abstract

This article ranks South and Southeast Asian Studies journals along three categories—quality, efficiency, and impact. The ranking summarizes the results of a survey sent to an international sample of South and Southeast Asian Studies scholars. This study is valuable in three ways: as a decision making tool for the South and Southeast Asian Studies academic community, as an evaluation of methodology in journal ranking studies, and as a discussion of the value of journal rankings studies to assessment and evaluation in higher education generally.     

Bayesian sample size determination for estimating binomial parameters from data subject to misclassification

We investigate the sample size problem when a binomial parameter is to be estimated, but some degree of misclassification is possible. The problem is especially challenging when the degree to which misclassification occurs is not exactly known. Motivated by a Canadian survey of the prevalence of toxoplasmosis infection in pregnant women, we examine the situation where it is desired that a marginal posterior credible interval for the prevalence of width w has coverage 1−α, using a Bayesian sample size criterion. The degree to which the misclassification probabilities are known a priori can have a very large effect on sample size requirements, and in some cases achieving a coverage of 1−α is impossible, even with an infinite sample size. Therefore, investigators must carefully evaluate the degree to which misclassification can occur when estimating sample size requirements.     

Estimation of binomial parameters when both , are unknown

We revisit the classic problem of estimation of the binomial parameters when both parameters n,p are unknown. We start with a series of results that illustrate the fundamental difficulties in the problem. Specifically, we establish lack of unbiased estimates for essentially any functions of just n or just p. We also quantify just how badly biased the sample maximum is as an estimator of n. Then, we motivate and present two new estimators of n. One is a new moment estimate and the other is a bias correction of the sample maximum. Both are easy to motivate, compute, and jackknife. The second estimate frequently beats most common estimates of n in the simulations, including the Carroll–Lombard estimate. This estimate is very promising. We end with a family of estimates for p; a specific one from the family is compared to the presently common estimate and the improvements in mean-squared error are often very significant. In all cases, the asymptotics are derived in one domain. Some other possible estimates such as a truncated MLE and empirical Bayes methods are briefly discussed.     

Losing ground: The persistent declining economic fortunes of children

The primary purpose of this study is to investigate trends in the income status of children, as compared to that of adults and elderly people, from 1991 through 2005. Using the March 1992, 1999, and 2006 Current Population Surveys (CPS), this study examines income distributions of children relative to adults and elderly people at three stages: pre-transfer income, pre-transfer income plus social insurance benefits, and pre-transfer income plus social insurance benefits plus welfare payments. While children as well as adults and elderly people lost economic ground at the post-transfer income stage from 1991 to 2005, the losses experienced by children surpassed those of adults and elderly people. This occurred despite the fact that income growth among children was greater than that of adults and elderly people at the pre-transfer stage – a demonstration of increases in employment income of their parents which coincided with the welfare reforms of 1996. This study also found that declines in the distributive effect of both social insurance benefits and welfare payments were greater for minority children. Policy implications are discussed.