A framework for assessing product innovation strategies in a competitive context

The development of new products capable of satisfying customer demands on a timely basis has become a priority for firms seeking to improve their competitive advantage in a global context. However, this challenge has become highly complex due to a growing diversity of both products and processes, higher costs, and unprecedented considerations for quality and service. Despite knowing a great deal about both the characteristics of successful firms and new product development processes, little is known regarding requisite guidelines for successful strategies in product development

The Impact of a Computer Proficiency Exam on Business Students’ Admission to and Performance in a Higher-Level IT Course

Many colleges of business now assume incoming freshmen arrive on campus possessing high levels of computer skill and ability. Students are frequently offered the opportunity to take and pass a computer proficiency exam (CPE) in lieu of a freshman information technology (IT) course. While promoted as an efficient alternative, our analysis of the implementation of a CPE as a replacement for the freshman IT course at a small, Midwestern university revealed mixed results. As expected, we found those students who took and passed the CPE generally scored higher in their follow-on, sophomore IT course than those who passed the prerequisite, freshmen IT course. However, the CPE pass rate proved to be significantly lower than that of the course it replaced. This created an unexpected backlog of students unable to enroll in the sophomore IT course, delaying their program of study. Furthermore, over time the CPE highlighted patterns of weakness in students’ Excel skills, proving it to be a valuable diagnostic tool. Finally, while the original objective of the CPE had been to replace the freshman IT course, it instead supported the need to reinstate at least some portion of it. This suggests that a hybrid approach may be most effective in ensuring that freshman enter their sophomore year with those IT skills needed most for follow-on course success

The Challenge of Implementing an ERP System in a Small and Medium Enterprise – A Teaching Case of ERP Project Management

Enterprise Resource Planning (ERP) system implementation projects are notoriously risky. While large-scale ERP cases continue to be developed, relatively few new ERP cases have been published that further ERP implementation education in small to medium size firms. This case details the implementation of a new ERP system in a medium sized manufacturing firm. As students explore the case, they will be required to address the many ERP-related project management, procurement, human resource, and management involvement issues raised by it. This case highlights the ERP implementation problems experienced by case company in one of their two divisions. The firm is considering whether or not to implement this same ERP system in its other division. Before proceeding, the firm\u27s board of directors has concluded that a review of the first division ERP implementation is needed. They believe that such an assessment could provide valuable insight and lessons learned, giving rise to improvement of the second division‟s ERP implementation outcome

Dimensional Reduction Analysis for Constellation-Based DNA Fingerprinting to Improve Industrial IoT Wireless Security

The Industrial Internet of Things (IIoT) market is skyrocketing towards 100 billion deployed devices and cybersecurity remains a top priority. This includes security of ZigBee communication devices that are widely used in industrial control system applications. IIoT device security is addressed using Constellation-Based Distinct Native Attribute (CB-DNA) Fingerprinting to augment conventional bit-level security mechanisms. This work expands upon recent CB-DNA “discovery” activity by identifying reduced dimensional fingerprints that increase the computational efficiency and effectiveness of device discrimination methods. The methods considered include Multiple Discriminant Analysis (MDA) and Random Forest (RndF) classification. RndF deficiencies in classification and post-classification feature selection are highlighted and addressed using a pre-classification feature selection method based on a Wilcoxon Rank Sum (WRS) test. Feature down-selection based on WRS testing proves to very reliable, with reduced feature subsets yielding cross-device discrimination performance consistent with full-dimensional feature sets, while being more computationally efficient

Vegetation monitoring at Pueblo Chemical Depot: 1999-2015

Prepared for: U.S. Fish & Wildlife Service, Colorado Fish & Wildlife Conservation Office, Pueblo Chemical Depot.May 2016.Includes bibliographical references (pages 92-98).In 1998 the U. S. Fish and Wildlife Service (USFWS) contracted the Colorado Natural Heritage Program to set up a long‐term vegetation monitoring program on U.S. Army Pueblo Chemical Depot (PCD) in Pueblo County, Colorado. PCD makes up the southern portion of an important landscape conservation area – Chico Basin – and monitoring data collected here can be useful to PCD land managers as well as regional land managers. The PCD monitoring program was established to detect vegetation changes in shortgrass prairie, sandsage shrubland, and greasewood shrubland as a result of the removal of cattle grazing in 1998. Each vegetation type included areas with four different historic cattle grazing regimes: 1) grazed year‐round until 1998, 2) grazed, but not year‐round, until 1998, 3) grazed lightly (several times/year) since 1942, and 4) ungrazed since 1942. For the purpose of this study the first two regimes are considered "grazed" and the latter two regimes "ungrazed." All further reference to the "grazed" regime refers to its historical use prior to 1998. During the 1999‐2015 years of monitoring neither grazed nor ungrazed study plots discussed in this report received any livestock grazing

Does the Locally-Adaptive Model of Archaeological Potential (LAMAP) work for hunter-gatherer sites? A test using data from the Tanana Valley, Alaska

We report an assessment of the ability of the Locally-Adaptive Model of Archaeological Potential (LAMAP) to estimate archaeological potential in relation to hunter-gatherer sites. The sample comprised 182 known sites in the Tanana Valley, Alaska, which was occupied solely by hunter-gatherers for about 14,500 years. To estimate archaeological potential, we employed physiographic variables such as elevation and slope, rather than variables that are known to vary on short time scales, like vegetation cover. Two tests of LAMAP were carried out. In the first, we used the location of a random selection of 90 sites from all time periods to create a LAMAP model. We then evaluated the model with the remaining 92 sites. In the second test, we built a LAMAP model from 12 sites that pre-date 10,000 cal BP. This model was then tested with sites that post-date 10,000 cal BP. In both analyses, areas predicted to have higher archaeological potential contained higher frequencies of validation sites. The performance of LAMAP in the two tests was comparable to its performance in previous tests using archaeological sites occupied by agricultural societies. Thus, the study extends the use of LAMAP to the task of estimating archaeological potential of landscapes in relation to hunter-gatherer sites

Securing ZigBee Commercial Communications Using Constellation Based Distinct Native Attribute Fingerprinting

This work provides development of Constellation Based DNA (CB-DNA) Fingerprinting for use in systems employing quadrature modulations and includes network protection demonstrations for ZigBee offset quadrature phase shift keying modulation. Results are based on 120 unique networks comprised of seven authorized ZigBee RZSUBSTICK devices, with three additional like-model devices serving as unauthorized rogue devices. Authorized network device fingerprints are used to train a Multiple Discriminant Analysis (MDA) classifier and Rogue Rejection Rate (RRR) estimated for 2520 attacks involving rogue devices presenting themselves as authorized devices. With MDA training thresholds set to achieve a True Verification Rate (TVR) of TVR = 95% for authorized network devices, the collective rogue device detection results for SNR ≥ 12 dB include average burst-by-burst RRR ≈ 94% across all 2520 attack scenarios with individual rogue device attack performance spanning 83.32% \u3c RRR \u3c 99.81%

Optimizing the Optoelectronic Properties of Conjugated Polymers Through Metal-Ligand Coordination

From the phones at our fingertips to the solar panels on our roofs, humans are becoming increasingly dependent on electronics for information, entertainment, and to power their daily lives. Further advancements are paving the way for a new age of high-performance, flexible devices. Organic electronics made from conjugated semiconducting polymers are showing great potential as a softer and more processable material than brittle silicon used in today’s devices, while exhibiting comparable charge transport to silicon. However, one key challenge with these organic polymers is the difficulty to control their optical properties and charge transport in devices. Electronics must interact with and alter their lighting while efficiently conducting electricity. Therefore, the desired material must be tuneable to precisely control these important properties. In this research, a novel organic diketopyrrolopyrrole-based conjugated polymer is presented as a leading candidate for optoelectronics. This polymer uses noncovalent metal-ligand interactions, enabled by using specific terpyridine ligands, to fine-tune its ability to emit light and transport electrons. Various transition metal ions, including Fe2+, Co2+, Zn2+, and Mn2+, were introduced into the polymer to determine which species would coordinate most efficiently with the ligand, altering its optical nature. Results from fluorescence and absorption spectroscopies showed that the manganese ion coordinated the weakest to the ligand, while iron and cobalt ions bound the most efficiently and optimally altered emission intensity. Thus, iron and cobalt were identified as great candidates for metal-ligand coordination within the polymer for optimal optoelectronic capabilities. These findings contribute to the continued pursuit of creating efficient organic optoelectronics through the promising technique of metal-ligand interactions. Keywords: organic electronics, conjugated polymer, optoelectronics, metal-ligand interaction