An Empirical Investigation of Successful, High Performing Turnaround Professionals: Application of the Dynamic Capabilities Theory

ABSTRACT This research is about identifying the characteristics or success profiles of professionals working in the turnaround industry. The turnaround industry possesses a number of dynamic capabilities in processes, positions, resources and paths that are unique to its industry. The firms that compete in the turnaround industry serve their clients, the dying organizations, by using a mix of these dynamic capabilities. While these dynamic capabilities are seen as the turnaround firms’ “secrets of success,” they have over time evolved into “best practices.” This commoditization of best practices in the turnaround industry has created a need for turnaround firms to search for a competitive advantage. Specifically, this advantage is identified in the literature as the skills, knowledge, and experience of the turnaround professional. These unique characteristics of the turnaround management professional (TMP), see appendix C for a complete definitions of terms, have been accounted for in the Turnaround Management Association (TMA) certification process called the Certified Turnaround Professional, or CTP. One of the TMA’s goals is to establish professional work standards and guidelines and to regulate the industry. While a noble effort, this focus takes the “competitive advantage” away from the turnaround organization and standardizes it into the “best practices” arena via “certified” professionals leaving these organizations to compete on size and location alone. Evidence from a focus group, case research interviews, and two different surveys, suggests that there is a profound difference in the effectiveness of TMPs beyond the knowledge, skill, and experience levels identified as one of the core components of dynamic capabilities theory. This evidence led to the investigation of psychometric profiling as a method to measure the distinct success profiles of these “highly successful” TMPs, or Most Valuable players (MVP). Measuring the thinking style (cognitive reasoning ability), work motivation, personality behaviors, and occupational interests of MVP s, has led to the discovery of a success composite. The findings of this research suggest that MVP s score higher on this composite than do other TMPs who were identified as “low performers”, or Least Valuable Players (LVP), as well as non-turnaround managers, executives, and business professionals in general. It is postulated that by using this composite score in hiring, training, and promoting turnaround professionals, a turnaround firm will obtain a competitive advantage in their industry and generate higher success for all stakeholders. Resultantly, the researchers have uncovered a critical gap in the dynamic capability theory surrounding the construct of human capital. Evidence suggests that psychometric profiling is an acceptable and, indeed, important measure of the value of human capital

Using Freewrites To Increase Learning InAccounting Information Systems Courses

This study reports on the use of short, informal writing activities as a means to improve learning in Accounting Information Systems (AIS) courses. Students in a junior-level AIS course completed 10 short writing activities in class during one academic quarter. Student evaluations of the activities indicate that they found the assignments useful in a variety of ways, but especially in helping them integrate concepts, recognize important points, and retain knowledge learned in the course

DEVELOPING BETTER ECONOMIC INFORMATION ABOUT COASTAL RESOURCES AS A TOOL FOR INTEGRATED COASTAL MANAGEMENT

Measuring economic activity associated with the ocean through examination of the goods and services produced by specified industries and in coastal locations will provide answers to many of the most commonly asked questions about the ocean economy. But even this data will still be incomplete. Beyond are a variety of non-market values, which are needed to complete the picture. When someone goes to the beach in Florida or boats on Chesapeake Bay, there may be little that is directly purchased on that day. But the popularity of such activities is testament to their underlying value. Economists have developed a variety of techniques to measure such values, and a large number of studies have been done throughout the country using these techniques. The Project intends to compile the results of these studies into the ocean economy database to provide researchers with access to the information that has been generated. The resulting integrated, web-accessible database will provide as comprehensive a picture as possible of the economic values associated with the ocean. It will provide historical data, and because it is estimated as much as possible on a consistent basis, it can be used to compare these values across time and space. But there will still be important limitations. Requirements to maintain confidentiality of data will require that many smaller geographic areas cannot be described in the same level of detail as larger regions. The surveys of industries conducted by the Census Bureau that underlie the national data and which will be used to disaggregate to the industrial and geographic level will have sampling limitations that will require some indirect estimating techniques. The nonmarket values are estimated using complex techniques that can result in widely varying figures for the same resources

A DNA Barcode Library for North American Ephemeroptera: Progress and Prospects

DNA barcoding of aquatic macroinvertebrates holds much promise as a tool for taxonomic research and for providing the reliable identifications needed for water quality assessment programs. A prerequisite for identification using barcodes is a reliable reference library. We gathered 4165 sequences from the barcode region of the mitochondrial cytochrome c oxidase subunit I gene representing 264 nominal and 90 provisional species of mayflies (Insecta: Ephemeroptera) from Canada, Mexico, and the United States. No species shared barcode sequences and all can be identified with barcodes with the possible exception of some Caenis. Minimum interspecific distances ranged from 0.3–24.7% (mean: 12.5%), while the average intraspecific divergence was 1.97%. The latter value was inflated by the presence of very high divergences in some taxa. In fact, nearly 20% of the species included two or three haplotype clusters showing greater than 5.0% sequence divergence and some values are as high as 26.7%. Many of the species with high divergences are polyphyletic and likely represent species complexes. Indeed, many of these polyphyletic species have numerous synonyms and individuals in some barcode clusters show morphological attributes characteristic of the synonymized species. In light of our findings, it is imperative that type or topotype specimens be sequenced to correctly associate barcode clusters with morphological species concepts and to determine the status of currently synonymized species

Correlation functions quantify super-resolution images and estimate apparent clustering due to over-counting

We present an analytical method to quantify clustering in super-resolution localization images of static surfaces in two dimensions. The method also describes how over-counting of labeled molecules contributes to apparent self-clustering and how the effective lateral resolution of an image can be determined. This treatment applies to clustering of proteins and lipids in membranes, where there is significant interest in using super-resolution localization techniques to probe membrane heterogeneity. When images are quantified using pair correlation functions, the magnitude of apparent clustering due to over-counting will vary inversely with the surface density of labeled molecules and does not depend on the number of times an average molecule is counted. Over-counting does not yield apparent co-clustering in double label experiments when pair cross-correlation functions are measured. We apply our analytical method to quantify the distribution of the IgE receptor (Fc{\epsilon}RI) on the plasma membranes of chemically fixed RBL-2H3 mast cells from images acquired using stochastic optical reconstruction microscopy (STORM) and scanning electron microscopy (SEM). We find that apparent clustering of labeled IgE bound to Fc{\epsilon}RI detected with both methods arises from over-counting of individual complexes. Thus our results indicate that these receptors are randomly distributed within the resolution and sensitivity limits of these experiments.Comment: 22 pages, 5 figure

Spontaneous and deliberate future thinking: A dual process account

© 2019 Springer Nature.This is the final published version of an article published in Psychological Research, licensed under a Creative Commons Attri-bution 4.0 International License. Available online at: https://doi.org/10.1007/s00426-019-01262-7.In this article, we address an apparent paradox in the literature on mental time travel and mind-wandering: How is it possible that future thinking is both constructive, yet often experienced as occurring spontaneously? We identify and describe two ‘routes’ whereby episodic future thoughts are brought to consciousness, with each of the ‘routes’ being associated with separable cognitive processes and functions. Voluntary future thinking relies on controlled, deliberate and slow cognitive processing. The other, termed involuntary or spontaneous future thinking, relies on automatic processes that allows ‘fully-fledged’ episodic future thoughts to freely come to mind, often triggered by internal or external cues. To unravel the paradox, we propose that the majority of spontaneous future thoughts are ‘pre-made’ (i.e., each spontaneous future thought is a re-iteration of a previously constructed future event), and therefore based on simple, well-understood, memory processes. We also propose that the pre-made hypothesis explains why spontaneous future thoughts occur rapidly, are similar to involuntary memories, and predominantly about upcoming tasks and goals. We also raise the possibility that spontaneous future thinking is the default mode of imagining the future. This dual process approach complements and extends standard theoretical approaches that emphasise constructive simulation, and outlines novel opportunities for researchers examining voluntary and spontaneous forms of future thinking.Peer reviewe

The "Ram Effect": A "Non-Classical" Mechanism for Inducing LH Surges in Sheep

During spring sheep do not normally ovulate but exposure to a ram can induce ovulation. In some ewes an LH surge is induced immediately after exposure to a ram thus raising questions about the control of this precocious LH surge. Our first aim was to determine the plasma concentrations of oestradiol (E2) E2 in anoestrous ewes before and after the "ram effect" in ewes that had a "precocious" LH surge (starting within 6 hours), a "normal" surge (between 6 and 28h) and "late» surge (not detected by 56h). In another experiment we tested if a small increase in circulating E2 could induce an LH surge in anoestrus ewes. The concentration of E2 significantly was not different at the time of ram introduction among ewes with the three types of LH surge. "Precocious" LH surges were not preceded by a large increase in E2 unlike "normal" surges and small elevations of circulating E2 alone were unable to induce LH surges. These results show that the "precocious" LH surge was not the result of E2 positive feedback. Our second aim was to test if noradrenaline (NA) is involved in the LH response to the "ram effect". Using double labelling for Fos and tyrosine hydroxylase (TH) we showed that exposure of anoestrous ewes to a ram induced a higher density of cells positive for both in the A1 nucleus and the Locus Coeruleus complex compared to unstimulated controls. Finally, the administration by retrodialysis into the preoptic area, of NA increased the proportion of ewes with an LH response to ram odor whereas treatment with the α1 antagonist Prazosin decreased the LH pulse frequency and amplitude induced by a sexually active ram. Collectively these results suggest that in anoestrous ewes NA is involved in ram-induced LH secretion as observed in other induced ovulators

Clonal analysis of palmar fibromatosis: a study whether palmar fibromatosis is a real tumor

BACKGROUND: Palmar fibromatosis that arises in the palmar soft tissue is characterized by infiltrative growth with a tendency toward local recurrence but does not metastasize. This study investigated the clonality of this process in twelve female patients, each with a single lesion, by examining the pattern of X-chromosome inactivation. METHODS: Hematoxylin and eosin stained sections of formalin-fixed, paraffin-embedded tissues were microdissected by laser capture microdissection to obtain the proliferative spindle cells. Tumor cells were isolated from the sections of rectum adenocarcinoma, and used for positive control. The genomic DNAs was extracted with phenol-chloroform, digested with a methylation-sensitive restriction endonuclease HpaII, and amplified by polymerase chain reaction (PCR), using primers targeted to a highly polymorphic short tandem repeat (STR) of the human androgen receptor gene (HUMARA). RESULTS: Among the twelve samples, three samples failed amplification, one sample showed homozygosity which was not suitable for further analysis, eight samples were successfully amplified, and showed a random X chromosome inactivation pattern, suggesting polyclonality of these lesions. CONCLUSION: The current findings suggest that palmar fibromatosis is a reactive proliferation rather than a clonal neoplasm

Efficient counting of k-mers in DNA sequences using a bloom filter

<p>Abstract</p> <p>Background</p> <p>Counting <it>k</it>-mers (substrings of length <it>k </it>in DNA sequence data) is an essential component of many methods in bioinformatics, including for genome and transcriptome assembly, for metagenomic sequencing, and for error correction of sequence reads. Although simple in principle, counting <it>k</it>-mers in large modern sequence data sets can easily overwhelm the memory capacity of standard computers. In current data sets, a large fraction-often more than 50%-of the storage capacity may be spent on storing <it>k</it>-mers that contain sequencing errors and which are typically observed only a single time in the data. These singleton <it>k</it>-mers are uninformative for many algorithms without some kind of error correction.</p> <p>Results</p> <p>We present a new method that identifies all the <it>k</it>-mers that occur more than once in a DNA sequence data set. Our method does this using a Bloom filter, a probabilistic data structure that stores all the observed <it>k</it>-mers implicitly in memory with greatly reduced memory requirements. We then make a second sweep through the data to provide exact counts of all nonunique <it>k</it>-mers. For example data sets, we report up to 50% savings in memory usage compared to current software, with modest costs in computational speed. This approach may reduce memory requirements for any algorithm that starts by counting <it>k</it>-mers in sequence data with errors.</p> <p>Conclusions</p> <p>A reference implementation for this methodology, BFCounter, is written in C++ and is GPL licensed. It is available for free download at <url>http://pritch.bsd.uchicago.edu/bfcounter.html</url></p