California Southern University
UniversityChandler, Arizona, United States
Research output, citation impact, and the most-cited recent papers from California Southern University (United States). Aggregated across the NobleBlocks index of 300M+ scholarly works.
Top-cited papers from California Southern University
A growing number of sociologists, political scientists, economists, and organizational theorists have invoked the concept of social capital in the search for answers to a broadening range of questions being confronted in their own fields. Seeking to clarify the concept and help assess its utility for organizational theory, we synthesize the theoretical research undertaken in these various disciplines and develop a common conceptual framework that identifies the sources, benefits, risks, and contingencies of social capital.
By decision-making in a fuzzy environment is meant a decision process in which the goals and/or the constraints, but not necessarily the system under control, are fuzzy in nature. This means that the goals and/or the constraints constitute classes of alternatives whose boundaries are not sharply defined. An example of a fuzzy constraint is: “The cost of A should not be substantially higher than α,” where α is a specified constant. Similarly, an example of a fuzzy goal is: “x should be in the vicinity of x 0 ,” where x 0 is a constant. The italicized words are the sources of fuzziness in these examples. Fuzzy goals and fuzzy constraints can be defined precisely as fuzzy sets in the space of alternatives. A fuzzy decision, then, may be viewed as an intersection of the given goals and constraints. A maximizing decision is defined as a point in the space of alternatives at which the membership function of a fuzzy decision attains its maximum value. The use of these concepts is illustrated by examples involving multistage decision processes in which the system under control is either deterministic or stochastic. By using dynamic programming, the determination of a maximizing decision is reduced to the solution of a system of functional equations. A reverse-flow technique is described for the solution of a functional equation arising in connection with a decision process in which the termination time is defined implicitly by the condition that the process stops when the system under control enters a specified set of states in its state space.
Now in its fourth edition, this comprehensive introduction of fundamental panel data methodologies provides insights on what is most essential in panel literature. A capstone to the forty-year career of a pioneer of panel data analysis, this new edition's primary contribution will be the coverage of advancements in panel data analysis, a statistical method widely used to analyze two or higher-dimensional panel data. The topics discussed in early editions have been reorganized and streamlined to comprehensively introduce panel econometric methodologies useful for identifying causal relationships among variables, supported by interdisciplinary examples and case studies. This book, to be featured in Cambridge's Econometric Society Monographs series, has been the leader in the field since the first edition. It is essential reading for researchers, practitioners and graduate students interested in the analysis of microeconomic behavior.
A central theme throughout the impressive series of philosophical books and articles Stephen Toulmin has published since 1948 is the way in which assertions and opinions concerning all sorts of topics, brought up in everyday life or in academic research, can be rationally justified. Is there one universal system of norms, by which all sorts of arguments in all sorts of fields must be judged, or must each sort of argument be judged according to its own norms? In The Uses of Argument (1958) Toulmin sets out his views on these questions for the first time. In spite of initial criticisms from logicians and fellow philosophers, The Uses of Argument has been an enduring source of inspiration and discussion to students of argumentation from all kinds of disciplinary background for more than forty years.
Typologies are an important way of organizing the complex cause-effect relationships that are key building blocks of the strategy and organization literatures. Here, I develop a novel theoretical perspective on causal core and periphery, which is based on how elements of a configuration are connected to outcomes. Using data on high-technology firms, I empirically investigate configurations based on the Miles and Snow typology using fuzzy set qualitative comparative analysis (fsQCA). My findings show how the theoretical perspective developed here allows for a detailed analysis of causal core, periphery, and asymmetry, shifting the focus to midrange theories of causal processes.
Narrative inquiry refers to a subset of qualitative research designs in which stories are used to describe human action. The term narrative has been employed by qualitative researchers with a variety of meanings. In the context of narrative inquiry, narrative refers to a discourse form in which events and happenings are configured into a temporal unity by means of a plot. Bruner (1985) designates two types of cognition: paradigmatic, which operates by recognizing elements as members of a category; and narrative, which operates by combining elements into an emplotted story. Narrative inquiries divide into two distinct groups based on Bruner's types of cognition. Paradigmatic‐type narrative inquiry gathers stories for its data and uses paradigmatic analytic procedures to produce taxonomies and categories out of the common elements across the database. Narrative‐type narrative inquiry gathers events and happenings as its data and uses narrative analytic procedures to produce explanatory stories.
We demonstrate very high efficiency electrophosphorescence in organic light-emitting devices employing a phosphorescent molecule doped into a wide energy gap host. Using bis(2-phenylpyridine)iridium(III) acetylacetonate [(ppy)2Ir(acac)] doped into 3-phenyl-4(1′-naphthyl)-5-phenyl-1,2,4-triazole, a maximum external quantum efficiency of (19.0±1.0)% and luminous power efficiency of (60±5) lm/W are achieved. The calculated internal quantum efficiency of (87±7)% is supported by the observed absence of thermally activated nonradiative loss in the photoluminescent efficiency of (ppy)2Ir(acac). Thus, very high external quantum efficiencies are due to the nearly 100% internal phosphorescence efficiency of (ppy)2Ir(acac) coupled with balanced hole and electron injection, and triplet exciton confinement within the light-emitting layer.
In this article, we summarize and review the research on teams and groups in organization settings published from January 1990 to April 1996. The article focuses on studies in which the dependent variables are concerned with various dimensions of effectiveness. A heuristic framework illustrating recent trends in the literature depicts team effectiveness as a function of task, group, and organization design factors, environmental factors, internal processes, external processes, and group psychosocial traits. The review discusses four types of teams: work, parallel, project, and management. We review research findings for each type of team organized by the categories in our heuristic framework. The article concludes by comparing the variables studied for the different types of teams, highlighting the progress that has been made, suggesting what still needs to be done, summarizing key leamings from the last six years, and suggesting areas for further research.
Abstract This study examines the relation between audit quality and earnings management. Consistent with prior research, we treat audit quality as a dichotomous variable and assume that Big Six auditors are of higher quality than non‐Big Six auditors. Earnings management is captured by discretionary accruals that are estimated using a cross‐sectional version of the Jones 1991 model. Prior literature suggests that auditors are more likely to object to management's accounting choices that increase earnings (as opposed to decrease earnings) and that auditors are more likely to be sued when they are associated with financial statements that overstate earnings (as compared to understate earnings). Therefore, we hypothesize that clients of non‐Big Six auditors report discretionary accruals that increase income relatively more than the discretionary accruals reported by clients of Big Six auditors. This hypothesis is supported by evidence from a sample of 10,379 Big Six and 2,179 non‐Big Six firm years. Specifically, clients of non‐Big Six auditors report discretionary accruals that are, on average, 1.5‐2.1 percent of total assets higher than the discretionary accruals reported by clients of Big Six auditors. Also, consistent with earnings management, we find that the mean and median of the absolute value of discretionary accruals are greater for firms with non‐Big Six auditors. This result also indicates that lower audit quality is associated with more “accounting flexibility”.
We propose a new phrase-based translation model and decoding algorithm that enables us to evaluate and compare several, previously proposed phrase-based translation models. Within our framework, we carry out a large number of experiments to understand better and explain why phrase-based models out-perform word-based models. Our empirical results, which hold for all examined language pairs, suggest that the highest levels of performance can be obtained through relatively simple means: heuristic learning of phrase translations from word-based alignments and lexical weighting of phrase translations. Surprisingly, learning phrases longer than three words and learning phrases from high-accuracy word-level alignment models does not have a strong impact on performance. Learning only syntactically motivated phrases degrades the performance of our systems.
This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.
In this paper we present an integrative model of the relationships among diversity, conflict, and performance, and we test that model with a sample of 45 teams. Findings show that diversity shapes conflict and that conflict, in turn, shapes performance, but these linkages have subtleties. Functional background diversity drives task conflict, but multiple types of diversity drive emotional conflict. Race and tenure diversity are positively associated with emotional conflict, while age diversity is negatively associated with such conflict. Task routineness and group longevity moderate these relationships. Results further show that task conflict has more favorable effects on cognitive task performance than does emotional conflict. Overall, these patterns suggest a complex link between work group diversity and work group functioning.
This book presents a theoretical treatment of externalities (i.e. uncompensated interdependencies), public goods, and club goods. The new edition updates and expands the discussion of externalities and their implications, coverage of asymmetric information, underlying game-theoretic formulations, and intuitive and graphical presentations. Aimed at well-prepared undergraduates and graduate students making a serious foray into this branch of economics, the analysis should also interest professional economists wishing to survey recent advances in the field. No other single source for the range of materials explored is currently available. Topics investigated include Nash equilibrium, Lindahl equilibria, club theory, preference-revelation mechanism, Pigouvian taxes, the commons, Coase Theorem, and static and repeated games. The authors use mathematical techniques only as much as necessary to pursue the economic argument. They develop key principles of public economics that are useful for subfields such as public choice, labor economics, economic growth, international economics, environmental and natural resource economics, and industrial organization.
Material aspirations are initially fairly similar among income groups; consequently more income brings greater happiness. Over the life cycle, however, aspirations grow along with income, and undercut the favourable effect of income growth on happiness, although the cross‐sectional happiness‐income difference persists. People think they were less happy in the past and will be happier in the future, because they project current aspirations to be the same throughout the life cycle, while income grows. But since aspirations actually grow along with income, experienced happiness is systematically different from projected happiness. Consequently, choices turn out to be based on false expectations.
The equity premium puzzle refers to the empirical fact that stocks have outperformed bonds over the last century by a surprisingly large margin. We offer a new explanation based on two behavioral concepts. First, investors are assumed to be “loss averse,” meaning that they are distinctly more sensitive to losses than to gains. Second, even long-term investors are assumed to evaluate their portfolios frequently. We dub this combination “myopic loss aversion.” Using simulations, we find that the size of the equity premium is consistent with the previously estimated parameters of prospect theory if investors evaluate their portfolios annually.
Recent meta-analyses and other studies of media's influence on learning are reviewed. Consistent evidence is found for the generalization that there are no learning benefits to be gained from employing any specific medium to deliver instruction. Research showing performance or time-saving gains from one or another medium are shown to be vulnerable to compelling rival hypotheses concerning the uncontrolled effects of instructional method and novelty. Problems with current media attribute and symbol system theories are described and suggestions made for more promising research directions.
Recent studies suggest that one or more genes on chromosome 5q21 are important for the development of colorectal cancers, particularly those associated with familial adenomatous polyposis (FAP). To facilitate the identification of genes from this locus, a portion of the region that is tightly linked to FAP was cloned. Six contiguous stretches of sequence (contigs) containing approximately 5.5 Mb of DNA were isolated. Subclones from these contigs were used to identify and position six genes, all of which were expressed in normal colonic mucosa. Two of these genes (APC and MCC) are likely to contribute to colorectal tumorigenesis. The MCC gene had previously been identified by virtue of its mutation in human colorectal tumors. The APC gene was identified in a contig initiated from the MCC gene and was found to encode an unusually large protein. These two closely spaced genes encode proteins predicted to contain coiled-coil regions. Both genes were also expressed in a wide variety of tissues. Further studies of MCC and APC and their potential interaction should prove useful for understanding colorectal neoplasia.
Top managers' power plays a key role in strategic decision making. However, although numerous scholars have recognized its importance, very few have attempted to measure the phenomenon. In this article, I present a set of dimensions measuring top managers' power and suggest a measurement methodology to facilitate empirical inquiry. Data from a group of 1,763 top managers in three industries were used to assess the validity and reliability of the power dimensions in three studies. Results demonstrate strong support for the proposed power dimensions.
From the Publisher: Shift register sequences are used in a broad range of applications, particularly in random number generation, multiple access and polling techniques, secure and privacy communication systems, error detecting and correcting codes, and synchronization pattern generation, as well as in modern cryptographic systems. The first edition of Shift Register Sequences, published in 1967, has been for many years the definitive work on this subject. In the revised edition, Dr. Golomb has added valuable supplemental material. The Revised Edition contains a comprehensive bibliography of some 400 entries which cover the literature concerning the theory and applications of shift register sequences. Written in a clear and lucid style, Dr. Golomb's approach is completely mathematical with rigorous proofs of all assertions. The proofs, however, may be omitted without loss of continuity by the reader who is interested only in results. Dr. Golomb is considered one of the foremost experts in the world with respect to combinatorial and geometrical aspects of coded communications.
I argue that research on organizational configurations has been limited by a mismatch between theory and methods and introduce set-theoretic methods as a viable alternative for overcoming this mismatch. I demonstrate the value of such methods for studying organizational configurations and discuss their applicability for examining equifinality and limited diversity among configurations, as well as their relevance to other research fields such as complementarities theory, complexity theory, and the resource-based view