120 research outputs found

    A Conceptual Model for ASP Adoption

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    The much-heralded provision of Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM) applications via hosting houses has been deemed to have failed. Many investigations have taken place, most of which have analysed the failure from the customer perspective, trying to understand why the end user did not endorse the Application Service Provision (ASP) model. As the end user stands to gain substantial benefits from the ASP model these studies are perhaps not focusing on the correct component of the value chain. This paper critically examines the ASP value chain and identifies the winners and risk takers within it. A flaw in the supply of ASP is highlighted and a conceptual model for ASP adoption proposed

    Educating Using an Information System as a Cognitive Tool

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    This paper discusses the effective education of internal and external students, concerning business processes and principles, using an enterprise resource planning application as a cognitive tool. The teachings explain a number of core business principles and develop students understanding of how the processes might vary between organisations in differing industries and environmental settings. The students establish the processes in an enterprise resource planning application, which reinforces the understanding of both operational activities and business management requirements. A cohort of students has been surveyed; the findings demonstrate that education using an enterprise resource planning application as an interactive learning system is both practical and beneficial. The following explains the teaching environment and discusses the survey results

    Propagation of a framework relating IT evaluation methods to an organisation\u27s strategic context

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    There are a plethora of evaluation methods that aid the selection and assess the impact of IS. Whilst they have merit individually they are incongruent when viewed holistically and can be seen as micro tools that are not sufficiently related to macro organisational characteristics. It is particularly important to relate these evaluation methods to business context when strategically assessing IT, as an incorrect or a poorly related set of methods may hinder rather than enable an organisation. This paper seeks to relate the prevalent categories of evaluation methods, and the many types of evaluation within those, to the business context of product and resourced based organisations. The resultant framework shows evaluation methods for IT projects, e-business and IT infrastructure directly related to business strategy and IT management practices

    An Evaluation of Mississippi Barrier Islands as a Spawning and Nesting Habitat for the American Horseshoe Crab, Limulus polyphemus, with Implications for Island Restoration

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    The American horseshoe crab (HSC), Limulus polyphemus, is an economically and ecologically important species in the coastal ecosystem. Horseshoe crabs inhabit the continental shelf and estuaries from Maine to the central Gulf Coast and the Yucatán Peninsula. Although the presence of horseshoe crabs in southern Mississippi is known locally, there are limited data specific to the area and population, particularly regarding spawning and nesting habitat. Surveys of HSC presence, habitat use, and behavior on Mississippi barrier islands were conducted between March and November 2007 to 2009. These data, combined with habitat surveys of the barrier islands, were used to characterize HSC use of these islands. Horseshoe crabs were present on barrier island beaches from March to November, but active spawning and nesting occurred primarily in April and May. Peak abundance varied by year but not between islands surveyed. Nesting activity was only observed on the north side of both islands and was generally clustered in areas with a mild elevation profile. In comparison to other studied populations both in the Gulf of Mexico (GOM) and along the U.S. Atlantic coast, HSC nesting on Mississippi barrier islands followed generally similar patterns, but did display some important differences. Nesting was highest in low energy, well oxygenated habitat, which included the sub-tidal sand flats that are common along these islands. In addition, HSC are smaller than the range-wide mean reported in the literature, but that may be related to these islands being close to the edge of the reported HSC range in the GOM. The continued existence of HSC in Mississippi appears tied to their preference for barrier island beaches as spawning and nursery habitat. More research is needed, but this study documents that the distribution of HSC nesting habitat includes Mississippi beaches and this should be considered as a part of restoration plans being evaluated for these barrier islands

    Quantifying Intrapopulation Variability in Stable Isotope Data for Spotted Seatrout (\u3ci\u3eCynoscion nebulosus\u3c/i\u3e)

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    Stable isotope (SI) values of carbon (delta C-13) and nitrogen (delta N-15) are useful for determining the trophic connectivity between species within an ecosystem, but interpretation of these data involves important assumptions about sources of intrapopulation variability. We compared intrapopulation variability in delta C-13 and delta N-15 for an estuarine omnivore, Spotted Seatrout (Cynoscion nebulosus), to test assumptions and assess the utility of SI analysis for delineation of the connectivity of this species with other species in estuarine food webs. Both delta C-13 and delta N-15 values showed patterns of enrichment in fish caught from coastal to offshore sites and as a function of fish size. Results for delta C-13 were consistent in liver and muscle tissue, but liver delta N-15 showed a negative bias when compared with muscle that increased with absolute delta N-15 value. Natural variability in both isotopes was 5-10 times higher than that observed in laboratory populations, indicating that environmentally driven intrapopulation variability is detectable particularly after individual bias is removed through sample pooling. These results corroborate the utility of SI analysis for examination of the position of Spotted Seatrout in an estuarine food web. On the basis of these results, we conclude that interpretation of SI data in fishes should account for measurable and ecologically relevant intrapopulation variability for each species and system on a case by case basis

    Making Non-Career Jobs Attractive to Younger Workers

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    As most hospitality industry managers in the U.S. are already aware, there is a growing and persistent shortage of labor available for service-sector, non-career jobs, the very jobs so vital to the industry. In most cases, recruitment efforts for these jobs are targeted toward younger workers, those under age 25. The authors explore issues regarding the attractiveness of non-career jobs in the eyes of young persons and suggest that, in addition to factors related to the job itself (pay, hours, type of work), the type of procedures used by employers to make selection decisions are equally influential. Recommendations are made concerning how hospitality employers with non-career positions to fill can maximize the chances of successfully staffing their organizations

    Evaluating Management Actions for Spotted Seatrout, Cynoscion nebulosus, in Mississippi with an Age-Structured Projection Model

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    Spotted seatrout, Cynoscion nebulosus, is an important recreational fishery in the coastal waters of the Gulf of Mexico and is the most sought after gamefish in coastal Mississippi. The management of C. nebulosus is state-specific, and unlike other similarly managed species, data on both population structure and movement support the existence of local sub-stocks. It is important for each state to clearly examine its own sub-stock in the context of its own state fishery in order to properly manage for local sustainability. We used an age-structured assessment model to examine the status (1993–2005) of the Mississippi C. nebulosus population and to project forward several probable management actions (i.e., length limits) while also accounting for uncertainty in both fishing mortality and annual recruitment. Model results suggest annual fishing mortality for Mississippi C. nebulosus is close to Fmsy, but that spawning stock biomass (SSB) is not below SSBmsy. This suggests the sub-stock is currently stable, but with high fishing pressure and a high dependence on annual recruitment to the fishery. Projections suggest that when uncertainty in angler effort and annual recruitment are included in the analysis, more conservative management actions are warranted in order to achieve both higher fishery yield and stable SSB

    Forecasting project success in the construction industry using adaptive neuro-fuzzy inference system

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    Project managers often find it a challenge to successfully manage construction projects. As a result, understanding, evaluating, and achieving project success are critical for sponsors to control projects. In practice, determining key success factors and criteria to assess the performance of construction projects and forecast the success of new projects is difficult. To address these concerns, our objective is to go beyond the efficiency-oriented project success criteria by considering both efficiency- and effectiveness-oriented measures to evaluate project success. This paper contributes to existing knowledge by identifying a holistic and multidimensional set of project success factors and criteria using a two-round Delphi technique. We developed a decision support system using the Adaptive Neuro-Fuzzy Inference System (ANFIS) to forecast the success of mid- and large-sized construction projects. We gathered data from 142 project managers in Australia and New Zealand to implement the developed ANFIS. We then validated the constructed ANFIS using the K-fold cross-validation procedure and a real case study of a large construction project in Western Australia. The forecasting accuracy measures R2=0.97461, MAPE = 2.57912%, MAE = 1.88425, RMSE = 2.3610, RRMSE = 0.03149, and PI = 0.01589 suggest that the developed ANFIS is a very good predictor of project success

    Quantifying intrapopulation variability in stable isotope data for Spotted Seatrout (Cynoscion nebulosus)

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    Stable isotope (SI) values of carbon (δ13C) and nitrogen (δ15N) are useful for determining the trophic connectivity between species within an ecosystem, but interpretation of these data involves important assumptions about sources of intrapopulation variability. We compared intrapopulation variability in δ13C and δ15N for an estuarine omnivore, Spotted Seatrout (Cynoscion nebulosus), to test assumptions and assess the utility of SI analysis for delineation of the connectivity of this species with other species in estuarine food webs. Both δ13C and δ15N values showed patterns of enrichment in fish caught from coastal to offshore sites and as a function of fish size. Results for δ13C were consistent in liver and muscle tissue, but liver δ15N showed a negative bias when compared with muscle that increased with absolute δ15N value. Natural variability in both isotopes was 5–10 times higher than that observed in laboratory populations, indicating that environmentally driven intrapopulation variability is detectable particularly after individual bias is removed through sample pooling. These results corroborate the utility of SI analysis for examination of the position of Spotted Seatrout in an estuarine food web. On the basis of these results, we conclude that interpretation of SI data in fishes should account for measurable and ecologically relevant intrapopulation variability for each species and system on a case by case basis

    Evaluating Ecosystem Response to Oyster Restoration and Nutrient Load Reduction With a Multispecies Bioenergetics Model

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    Many of the world\u27s coastal ecosystems are impacted by multiple stressors each of which may be subject to different management strategies that may have overlapping or even conflicting objectives. Consequently, management results may be indirect and difficult to predict or observe. We developed a network simulation model intended specifically to examine ecosystem-level responses to management and applied this model to a comparison of nutrient load reduction and restoration of highly reduced stocks of bivalve suspension feeders (eastern oyster, Crassostrea virginica) in an estuarine ecosystem (Chesapeake Bay, USA). Model results suggest that a 50% reduction in nutrient inputs from the watershed will result in lower phytoplankton production in the spring and reduced delivery of organic material to the benthos that will limit spring and summer pelagic secondary production. The model predicts that low levels of oyster restoration will have no effect in the spring but does result in a reduction in phytoplankton standing stocks in the summer. Both actions have a negative effect on pelagic secondary production, but the predicted effect of oyster restoration is larger. The lower effect of oysters on phytoplankton is due to size-based differences infiltration efficiency and seasonality that result in maximum top-down grazer control of oysters at a time when the phytoplankton is already subject to heavy grazing. These results suggest that oyster restoration must be achieved at levels as much as 25-fold present biomass to have a meaningful effect on phytoplankton biomass and as much as 50-fold to achieve effects similar to a 50% nutrient load reduction. The unintended effect of oyster restoration at these levels on other consumers represents a trade-off to the desired effect of reversing eutrophication
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