Fordham University

Research on market orientation and organizational learning addresses how organizations adapt to their environments and develop competitive advantage. A significant void exists in current models of market orientation because none of the frameworks incorporates constructs related to innovation. The authors present a conceptual framework for incorporating constructs that pertain to innovation in market orientation research. Some of the critical relationships in this conceptual framework are tested among a sample of 9648 employees from 56 organizations in a large agency of the U.S. federal government. The results indicate that higher levels of innovativeness in the firms’ culture are associated with a greater capacity for adaptation and innovation (number of innovations successfully implemented). In addition, higher levels of innovativeness are associated with cultures that emphasize learning, development, and participative decision making. The authors make recommendations for incorporating constructs related to innovation into research on market orientation and organizational learning.

OBJECTIVE: To describe the promise and potential of big data analytics in healthcare. METHODS: The paper describes the nascent field of big data analytics in healthcare, discusses the benefits, outlines an architectural framework and methodology, describes examples reported in the literature, briefly discusses the challenges, and offers conclusions. RESULTS: The paper provides a broad overview of big data analytics for healthcare researchers and practitioners. CONCLUSIONS: Big data analytics in healthcare is evolving into a promising field for providing insight from very large data sets and improving outcomes while reducing costs. Its potential is great; however there remain challenges to overcome.

Mobile devices are becoming increasingly sophisticated and the latest generation of smart cell phones now incorporates many diverse and powerful sensors. These sensors include GPS sensors, vision sensors (i.e., cameras), audio sensors (i.e., microphones), light sensors, temperature sensors, direction sensors (i.e., magnetic compasses), and acceleration sensors (i.e., accelerometers). The availability of these sensors in mass-marketed communication devices creates exciting new opportunities for data mining and data mining applications. In this paper we describe and evaluate a system that uses phone-based accelerometers to perform activity recognition, a task which involves identifying the physical activity a user is performing. To implement our system we collected labeled accelerometer data from twenty-nine users as they performed daily activities such as walking, jogging, climbing stairs, sitting, and standing, and then aggregated this time series data into examples that summarize the user activity over 10- second intervals. We then used the resulting training data to induce a predictive model for activity recognition. This work is significant because the activity recognition model permits us to gain useful knowledge about the habits of millions of users passively---just by having them carry cell phones in their pockets. Our work has a wide range of applications, including automatic customization of the mobile device's behavior based upon a user's activity (e.g., sending calls directly to voicemail if a user is jogging) and generating a daily/weekly activity profile to determine if a user (perhaps an obese child) is performing a healthy amount of exercise.

This article presents an overview of philosophy of science and research paradigms. The philosophy of science parameters of ontology, epistemology, axiology, rhetorical structure, and methodology are discussed across the research paradigms of positivism, postpositivism, constructivism-interpretivism, and the critical-ideological perspective. Counseling researchers are urged to locate their inquiry approaches within identifiable research paradigms, and examples of “locating ” 2 popular inquiry approaches— consensual qualitative research and grounded theory—are provided. Examples of how counseling research would proceed from varying paradigms are explored, and a call is made for expanding the training students receive in philosophy of science and qualitative approaches to inquiry. In my view, North American psychology generally, and coun-seling psychology specifically, is in the midst of a gradual para-digm shift from a primary reliance on quantitative methods to a more balanced reliance on quantitative and qualitative methods. Writing from Canada, O’Neill (2002) noted that a paradigm shift is underway in which “qualitative research may (and perhaps should) replace the hegemony of quantitative methods in psychol-

Abstract Data are reported on a series of short‐form (SF) screening scales of DSM‐III‐R psychiatric disorders developed from the World Health Organization's Composite International Diagnostic Interview (CIDI). A multi‐step procedure was used to generate CIDI‐SF screening scales for each of eight DSM disorders from the US National Comorbidity Survey (NCS). This procedure began with the subsample of respondents who endorsed the CIDI diagnostic stem question for a given disorder and then used a series of stepwise regression analyses to select a subset of screening questions to maximize reproduction of the full CIDI diagnosis. A small number of screening questions, between three and eight for each disorder, was found to account for the significant associations between symptom ratings and CIDI diagnoses. Summary scales made up of these symptom questions correctly classify between 77% and 100% of CIDI cases and between 94% and 99% of CIDI non‐cases in the NCS depending on the diagnosis. Overall classification accuracy ranged from a low of 93% for major depressive episode to a high of over 99% for generalized anxiety disorder. Pilot testing in a nationally representative telephone survey found that the full set of CIDI‐SF scales can be administered in an average of seven minutes compared to over an hour for the full CIDI. The results are quite encouraging in suggesting that diagnostic classifications made in the full CIDI can be reproduced with excellent accuracy with the CIDI‐SF scales. Independent verification of this reproduction accuracy, however, is needed in a data set other than the one in which the CIDI‐SF was developed. Copyright © 1998 Whurr Publishers Ltd.

Three studies are described in which measures of perceived social support from friends (PSS-Fr) and from family (PSS-Fa) were developed and validated. The PSS measures were internally consistent and appeared to measure valid constructs that were separate from each other and from network measures. PSS-Fr and PSS-Fa were both inversely related to symptoms of distress and psychopathology but the relationship was stronger for PSS-Fa. PSS-Fr was more closely related to social competence. PSS-Fa was unaffected by either positive or negative mood states (self-statements), but the reporting of PSS-Fr was lowered by negative mood states. High PSS-Fr subjects were significantly lower in trait anxiety and talked about themselves more to friends and sibs than low PSS-Fr subjects. Low PSS-Fa subjects showed marked verbal inhibition with sibs.

For more than a century, there has been a growing interest in school climate. Recently, the U.S. Department of Education, Center for Disease Control and Prevention, Institute for Educational Sciences, a growing number of State Departments of Education, foreign educational ministries, and UNICEF have focused on school climate reform as an evidence-based school improvement strategy that supports students, parents/guardians, and school personnel learning and working together to create ever safer, more supportive and engaging K–12 schools. This work presents an integrative review on school climate research. The 206 citations used in this review include experimental studies, correlational studies, literature reviews, and other descriptive studies. The review focuses on five essential dimensions of school climate: Safety, Relationships, Teaching and Learning, Institutional Environment, and the School Improvement Process. We conclude with a critique of the field and a series of recommendations for school climate researchers and policymakers.

In this book, authors Tenko Raykov and George A. Marcoulides introduce students to the basics of structural equation modeling (SEM) through a conceptual, nonmathematical approach. For ease of understanding, the few mathematical formulas presented are used in a conceptual or illustrative nature, rather than a computational one.Featuring examples from EQS, LISREL, and Mplus, A First Course in Structural Equation Modeling is an excellent beginner’s guide to learning how to set up input files to fit the most commonly used types of structural equation models with these programs. The basic ideas and methods for conducting SEM are independent of any particular software.Highlights of the Second Edition include:• Review of latent change (growth) analysis models at an introductory level• Coverage of the popular Mplus program• Updated examples of LISREL and EQS• Downloadable resources that contains all of the text’s LISREL, EQS, and Mplus examples.A First Course in Structural Equation Modeling is intended as an introductory book for students and researchers in psychology, education, business, medicine, and other applied social, behavioral, and health sciences with limited or no previous exposure to SEM. A prerequisite of basic statistics through regression analysis is recommended. The book frequently draws parallels between SEM and regression, making this prior knowledge helpful.

For symmetric unimodal distributions, positive kurtosis indicates heavy tails and peakedness relative to the normal distribution, whereas negative kurtosis indicates light tails and flatness. Many textbooks, however, describe or illustrate kurtosis incompletely or incorrectly. In this article, kurtosis is illustrated with well-known distributions, and aspects of its interpretation a d misinterpretation are discussed. The role of kurtosis in testing univariate and multivariate normality; as a measure of departures from normality; in issues of robustness, outliers, and bimodality; in generalized tests and estimators, as well as limitations of and alternatives to the kurtosis measure [32, are discussed. It is typical ly noted in introductory statistics courses that distributions can be characterized in terms of central tendency, variability, and shape. With respect o shape, virtually every textbook defines and illustrates kewness. On the other hand, another as-pect of shape, which is kurtosis, is either not discussed or, worse yet, is often described or illustrated incor-rectly. Kurtosis is also frequently not reported in re-search articles, in spite of the fact that virtually every statistical package provides a measure of kurtosis. This occurs most likely because kurtosis is not well understood and because the role of kurtosis in various aspects of statistical analysis is not widely recognized. The purpose of this article is to clarify the meaning of kurtosis and to show why and how it is useful. On the Mean ing o f Kurtosis Kurtosis can be formally defined as the standard-ized fourth population moment about the mean, E (X- IX)4 IX4

The effect of age on happiness, as defined by positive and negative affect, was examined in a survey of 2,727 persons of a broad age range (25-74) conducted by the MacArthur Foundation Research Network on Successful Midlife Development. The age-affect association was examined, controlling for a host of sociodemographic, personality, and contextual influences. Among women, age was related to positive affect nonlinearly but was unrelated to negative affect. Among men, age interacted with 2 key variables in predicting affect: extraversion and marital status. These findings lend support to recent life span theories of emotion and indicate that personality, contextual, and sociodemographic variables, as well as their interactions, are all needed to fully understand the age-affect relationship.

Customers can interact with and create value for firms in a variety of ways. This article proposes that assessing the value of customers based solely upon their transactions with a firm may not be sufficient, and valuing this engagement correctly is crucial in avoiding undervaluation and overvaluation of customers. We propose four components of a customer’s engagement value (CEV) with a firm. The first component is customer lifetime value (the customer’s purchase behavior), the second is customer referral value (as it relates to incentivized referral of new customers), the third is customer influencer value (which includes the customer’s behavior to influence other customers, that is increasing acquisition, retention, and share of wallet through word of mouth of existing customers as well as prospects), and the fourth is customer knowledge value (the value added to the firm by feedback from the customer). CEV provides a comprehensive framework that can ultimately lead to more efficient marketing strategies that enable higher long-term contribution from the customer. Metrics to measure CEV, future research propositions regarding relationships between the four components of CEV are proposed and marketing strategies that can leverage these relationships suggested.

Journal Article Economy and Society: An Outline of Interpretive Sociology. By Max Weber. Edited by Guenther Roth and Claus Wittich and The Iron Cage: An Historical Interpretation of Max Weber. By Arthur Mitzman Get access Werner Stark Werner Stark Fordham University Search for other works by this author on: Oxford Academic Google Scholar Sociology of Religion, Volume 31, Issue 4, Winter 1970, Pages 223–228, https://doi.org/10.2307/3710095 Published: 01 December 1970

Abstract Normative‐developmental performance on a battery of executive function tasks was investigated. Executive function was defined as goal‐directed behavior, including planning, organized search, and impulse control. Measures were drawn from clinical neuropsychology (visual search, verbal fluency, motor sequencing, and Wisconsin Card Sorting Task [WCST]) and from developmental psychology (Tower of Hanoi [TOH] and Matching Familiar Figures Test [MFFT]). A discriminant task, recognition memory, was administered, and IQ scores were available on a subset of the sample. One hundred subjects ranging from 3 to 12 years old participated; an adult group was also studied. Three major results were found: (a) adult‐level performance on different subsets of the executive function tasks was achieved at three different ages—6 years old, 10 years old, and adolescence; (b) the measures clustered into three different factors reflecting speeded responding, set maintenance, and planning; and (c) most of the executive function tasks were uncorrelated with IQ. The implications of these results for our understanding of the development of prefrontal lobe functions are discussed.

Purpose The purpose of this paper is to review what we know – and don't know – about Generation Y's use of social media and to assess the implications for individuals, firms and society. Design/methodology/approach The paper distinguishes Generation Y from other cohorts in terms of systematic differences in values, preferences and behavior that are stable over time (as opposed to maturational or other differences). It describes their social media use and highlights evidence of intra‐generational variance arising from environmental factors (including economic, cultural, technological and political/legal factors) and individual factors. Individual factors include stable factors (including socio‐economic status, age and lifecycle stage) and dynamic, endogenous factors (including goals, emotions, and social norms).The paper discusses how Generation Y's use of social media influences individuals, firms and society. It develops managerial implications and a research agenda. Findings Prior research on the social media use of Generation Y raises more questions than it answers. It: focuses primarily on the USA and/or (at most) one other country, ignoring other regions with large and fast‐growing Generation Y populations where social‐media use and its determinants may differ significantly; tends to study students whose behaviors may change over their life cycle stages; relies on self‐reports by different age groups to infer Generation Y's social media use; and does not examine the drivers and outcomes of social‐media use. This paper's conceptual framework yields a detailed set of research questions. Originality/value This paper provides a conceptual framework for considering the antecedents and consequences of Generation Y's social media usage. It identifies unanswered questions about Generation Y's use of social media, as well as practical insights for managers.

Although word-of-mouth (WOM) is recognized as a powerful force in persuasion, we know little about the new communication phenomenon known as e-WOM. One of the main forms of e-WOM is the product reviews consumers post on different Web sites, and how this form of e-WOM stands up to this claim is yet unknown. For example, do consumers trust the accuracy of these reviews posted by anonymous reviewers, and, do readers trust negative and positive reviews equally? Past research has shown that people tend to weight negative information more than positive information during evaluation. Through an observation study and two laboratory experiments, we investigate the existence of this negativity effect in e-WOM consumer reviews for utilitarian versus hedonic products, and investigate the influence of the reader's attributions regarding the reviewer's motivations on this. Both types of studies show that product type moderates the effect of review valence, and readers exhibit a negativity bias for utilitarian product reviews only. Furthermore, the lab studies show that the reader's attributions about the motivations of the reviewer mediate the effect of this moderation on their attitude about the review. We find that compared with the utilitarian case, readers of negative hedonic product reviews are more likely to attribute the negative opinions expressed, to the reviewer's internal (or non-product related) reasons; and therefore are less likely to find the negative reviews useful. However, in the utilitarian case, readers’ are more likely to attribute the reviewer's negative opinions to external (or product related) motivations, and therefore find negative reviews more useful than positive reviews on average.

Research and clinical observations suggest that during times of pandemic many people exhibit stress- or anxiety-related responses that include fear of becoming infected, fear of coming into contact with possibly contaminated objects or surfaces, fear of foreigners who might be carrying infection (i.e., disease-related xenophobia), fear of the socio-economic consequences of the pandemic, compulsive checking and reassurance-seeking regarding possible pandemic-related threats, and traumatic stress symptoms about the pandemic (e.g., nightmares, intrusive thoughts). We developed the 36-item COVID Stress Scales (CSS) to measure these features, as they pertain to COVID-19. The CSS were developed to better understand and assess COVID-19-related distress. The scales were intentionally designed so they could be readily adapted for future pandemics. The CSS were developed and initially validated in population-representative samples from Canada (N = 3479) and the United States (N = 3375). A stable 5-factor solution was identified, corresponding to scales assessing COVID-related stress and anxiety symptoms: (1) Danger and contamination fears, (2) fears about economic consequences, (3) xenophobia, (4) compulsive checking and reassurance seeking, and (5) traumatic stress symptoms about COVID-19. The scales performed well on various indices of reliability and validity. The scales were intercorrelated, providing evidence of a COVID Stress Syndrome. The scales offer promise as tools for better understanding the distress associated with COVID-19 and for identifying people in need of mental health services.

Summary Cronbach's alpha is one of the most widely used measures of reliability in the social and organizational sciences. Current practice is to report the sample value of Cronbach's alpha reliability, but a confidence interval for the population reliability value also should be reported. The traditional confidence interval for the population value of Cronbach's alpha makes an unnecessarily restrictive assumption that the multiple measurements have equal variances and equal covariances. We propose a confidence interval that does not require equal variances or equal covariances. The results of a simulation study demonstrated that the proposed method performed better than alternative methods. We also present some sample size formulas that approximate the sample size requirements for desired power or desired confidence interval precision. R functions are provided that can be used to implement the proposed confidence interval and sample size methods. Copyright © 2014 John Wiley & Sons, Ltd.

Although ethnic and racial identity (ERI) are central to the normative development of youth of color, there have been few efforts to bring scholars together to discuss the theoretical complexities of these constructs and provide a synthesis of existing work. The Ethnic and Racial Identity in the 21st Century Study Group was assembled for this purpose. This article provides an overview of the interface of ERI with developmental and contextual issues across development, with an emphasis on adolescence and young adulthood. It proposes a metaconstruct to capture experiences that reflect both individuals' ethnic background and their racialized experiences in a specific sociohistorical context. Finally, it presents milestones in the development of ERI across developmental periods.

A meta-analysis of results from 320 published studies relates environmental, strategic and organizational factors to financial performance. Some factors (e.g., concentration and growth) have been studied widely and have a relatively consistent positive impact on performance. Other widely-studied factors (e.g., size) have few consistent effects. Many factors (particularly organizational variables) are understudied. We suggest implications for research and management practice.

Greater managerial ownership in family firms need not mitigate agency problems, especially when each family controls a group of publicly traded and private firms, as is the case in most countries. Such structures give rise to their own set of agency problems, as managers act for the controlling family, but not for shareholders in general. For example, to avoid what we call “creative self–destruction,” a family might quash innovation in one firm to protect its obsolete investment in another. At present, we do not know whether these agency problems are more or less serious impediments to general prosperity than those afflicting widely held firms.