Information For Planning Management Research Articles

Harvesting and Local Knowledge of a Cultural Non-Timber Forest Product (NTFP): Gum-Resin from Boswellia serrata Roxb. in Three Protected Areas of the Western Ghats, India

Soliga tribes in the Western Ghats, India harvest some NTFPs (non-timber forest products) for religious purposes. They extract gum-resin from Boswellia serrata Roxb. in Biligiri Rangaswamy Temple Tiger Reserve (BRT), Cauvery Wildlife Sanctuary (CWS), and Malai Mahadeshwara Wildlife Sanctuary (MMH) in the state of Karnataka, India. They use gum-resin as a cultural offering to the deities in the temples in these study sites and in their households. The traditional harvesting practices adopted by the Soliga tribes in these protected areas, types of gum-resin extracted, and the nature of the extraction processes were examined. The research undertook 346 household surveys with gum-resin harvesters and non-harvesters across 15 villages, along with 60 field trips with the harvesters, during which field harvesting activities and practices were noted. Six different types of gum-resin were harvested, with marked differences between the three sites. Because of the different types of gum-resin, the quantities harvested were also significantly different between sites. Approximately 80% of the harvesters were aware of some harmful methods of harvesting gum-resin, and some harvesters highlighted that B. serrata trees would yield gum-resin only when damaged. Such damage could be human-made or through the effects of elephants, wind, Trigona honey harvest, deer horns or body rubbing and longhorn beetles. Most (81%) of the non-harvesters surveyed previously practiced gum-resin harvesting but had ceased for a variety of reasons, mostly because of insufficient demand and hence income from the sale of gum-resin, insufficient supply, or fear of wild animals in the forests. Considering these cultural practices, experiences, and beliefs of the Soliga communities can help inform management plans and conservation of the species in its natural habitat.

Classification, description and mapping of the vegetation in Khutse Game Reserve, Botswana

There is currently no detailed classification and description of plant communities in Khutse Game Reserve (KGR), Botswana, using phytosociological techniques. The main aim of this study was to classify and describe plant communities in KGR. Classification and description of plant communities will help in understanding the plant ecology of KGR. Braun-Blanquet sampling method was applied in 91 stratified random relevés. Nine plant communities were identified and classified using Modified TWINSPAN which is contained in JUICE program. The results showed that there was a statistically significant difference in percentage cover of herbaceous plants between the different plant communities. Schmidtia pappophoroides-Stipagrostis uniplumis and Heliotropium lineare-Enneapogon desvauxii communities had higher cover (%) of herbaceous plants than other communities. Catophractes alexandri-Stipagrostis uniplumis community had the highest cover (%) of shrubs. There was no statistically significant difference in plant species diversity (Shannon-Wienner Index) and species evenness between plant communities, but there was a statistically significant difference in plant species richness between the different plant communities. Dichrostachys cinerea-Grewia flava community, Senegalia mellifera subsp. detinens-Maytenus species community and Catophractes alexandri-Stipagrostis uniplumis community had lower number of species, whereas Vachellia luederitzii var. retinens-Grewia flava community had the highest number (46) of plant species. This study will help the Department of Wildlife and National Parks (DWNP) to develop an updated and informed Management Plan for the reserve, which takes cognizance of the plant ecology of the reserve.

Relationship Between Hereditary Cancer Syndromes and Oncotype DX Recurrence Score

BackgroundOncotype DX (ODX) is a genomic assay of tumor tissue that is utilized to predict the likelihood of recurrence and benefit of chemotherapy in breast cancer patients. Five to 10% of breast cancers are hereditary, and hereditary syndromes may not be uncovered through family history alone. We hypothesized that high ODX recurrence score (RS) may signal a potential hereditary cancer risk. Patients and MethodsWe performed a retrospective analysis of data from hormone receptor–positive breast cancer patients who had undergone ODX and germline genetic testing. The chi-square test and Fisher exact test were used to examine univariable association between RS and germline mutation status. Multivariable logistic regression was utilized to examine if there was an association of RS with germline mutation status. ResultsIn univariable analysis, the association of RS with germline mutation status was significant (P < .0001). In the multivariable logistic regression model predicting germline mutation status, RS level remained significantly associated with germline mutation, in particular BRCA1 or BRCA2. The mean RS for those with non-BRCA1/2 germline mutations versus those without germline mutations was not significant (P = .38). ConclusionHigh RS is associated with germline mutation status. Breast cancer patients with high RS are more likely to harbor a mutation in the BRCA1 or BRCA2 genes. If confirmed prospectively, oncologists may consider referring patients with high RS for genetic risk assessment and counseling to inform management plans, as well as counseling of family members.

Coastal Impact From High-Energy Events and the Importance of Concurrent Forcing Parameters: The Cases of Storm Ophelia (2017) and Storm Hector (2018) in NW Ireland

Infrequent but high energy storm events can radically modify coastlines, at times displacing significant sediment volumes and changing the configuration of coastal shorelines. More frequent and more intense Atlantic storms over the last 40 years have heightened the potential risk to coastal environments, population and infrastructure. Understanding local environmental forcing conditions and associated variables involved in coastal impact and response, can better inform future coastal management planning. This study examines the coastal impacts of two separate storms that occurred at Five Finger Strand, on the northwest Irish coast, in late 2017 (Storm Ophelia) and mid-2018 (Storm Hector). Using forcing parameters (wind speed and direction, wave heights and wave run up) along with 3D topographic surveys, impacts that occurred along a sandy coastline site in NW Ireland are examined for both storm events. For Storm Ophelia, shore-oblique to shore-parallel waves (2 m height) coincident with low tide (~ 0.8m) were recorded at the study site. This resulted in minimal erosional impact which was revealed by a new proxy storm impact index, ‘Storm Dune Trimming’ (value of >0.03) as well as a sediment displacement volume of 8,300 m3, largely confined to the intertidal area with only limited foredune edge erosion. Storm Hector, on the other hand, a lower energy event than Storm Ophelia, resulted in much more pronounced sediment displacement (13,400 m3 in the intertidal area) and significantly more dune scarping taking place (Storm Dune Trimming >0.09) due to better synchronicity of forcing factors such as high tide level, high wave heights and onshore wind direction. We conclude that storm energy is not always a direct indicator of coastal impact where the synchronicity of local forcing factors and antecedent beach conditions appears to be the most important drivers of actual coastal response on sandy beaches. This study, therefore, shows the importance of particular environmental parameters and their simultaneous timing in forcing change and is a useful insight into which parameters may be more risk-relevant in producing erosion along many sandy, dune-fringed coasts of NW Europe.

Predicting habitat suitability for basking sharks (Cetorhinus maximus) in UK waters using ensemble ecological niche modelling

The basking shark (Cetorhinus maximus) is an endangered species in the north-east Atlantic, having been historically over exploited. Whilst near-shore aggregation hotspots in the UK have been identified, robust knowledge on species distribution and abundance outside these areas remains limited. Research techniques, such as habitat modelling, could however be used to gain a greater knowledge of the species distribution to inform management plans to aid population recovery. For large mobile species gathering wide-scale distribution data can be financially and logistically challenging. In lieu of conducting an expensive UK-wide strategic survey for basking sharks, we use data from two regional-scale surveys, which were conducted in southwest England and western Scotland, in an Ensemble Ecological Niche Model (EENM) to produce a spatially-explicit map of habitat suitability. When compared against a ~20-year database of public sightings of basking sharks across UK coastal seas (to 6 nautical miles offshore), patterns of habitat suitability yielded a statistically significant agreement with areas known to support basking shark sightings. EENMs could be used to advise Marine Protected Area (MPA) selection, as well as to inform environmental impact assessments for offshore developments. The application of EENM outputs could be wide-reaching and benefit not only basking sharks but other large mobile marine species in the north-east Atlantic.

Management accounting practices’ adoption in UK universities

ABSTRACT The aim of this empirical study was to explore the extent and the determinants of management accounting practices’ (MAPs) adoption in UK universities. In this vein, the current study serves as a ‘stock-take’, first reference study for future studies investigating the effects and impact of HE funding changes on accounting systems and practices in universities. In order to contribute to understanding the determinants of MAPs’ adoption in the UK HE sector, a theoretical framework consisting of contingency theory, institutional theory and particular organisational attributes was adopted. A questionnaire survey was distributed to all 125 UK universities, of which eventually fifty-nine fully completed questionnaires, which represents 47% of all UK universities, were collected. Almost all institutions have implemented MAPs relating to cost determination and financial control, and information for management planning and control. The regression analysis concludes in a final model, which includes only seven of the initial twenty-nine variables. Prospector strategy orientation, innovative culture, trialability, mimetic and normative institutional factors and type of university are determined as the predictors of enhanced MAPs in UK universities. The findings of the current study are useful for consideration when looking into adopting new management accounting practices at Higher Education institutions.

Physiotherapist prediction of extubation outcome in the adult intensive care unit.

ObjectiveMost patients requiring intubation and mechanical ventilation are extubated successfully at the first attempt; however, a minority experience extubation failure, which is associated with increased risk of ventilator‐associated pneumonia, prolonged intensive care unit (ICU) length of stay and mortality. Physiotherapists have expertise to assess cough strength, work of breathing, respiratory muscle strength, and respiratory secretion load, which are important factors in the outcome of extubation. Accurate prediction of extubation outcome could help to inform management plans pre‐extubation and postextubation. The primary objective of this service evaluation was to report the accuracy of physiotherapists' prediction of extubation outcome in the adult ICU.MethodsA single‐centre case note review was undertaken. All subjects who received a physiotherapy assessment of extubation suitability prior to extubation between January and March 2016 in the adult ICU of a large teaching hospital in the United Kingdom were included. Assessment, by both specialist and nonspecialist physiotherapists—which included risk stratification of extubation failure as “high,” “moderate,” or “low”—was undertaken prior to extubation. Logistic regression analysis was performed to determine which pre‐extubation factors were predictive of extubation outcome.ResultsDuring the evaluation period, 68 subjects were extubated following a physiotherapy assessment. Physiotherapy risk stratification as “high risk” (OR 4; 95% confidence interval, CI, [1.312]; p=0.009) and “inappropriate” neurological status (OR 3.3; 95% CI [1.0410]; p=0.037) were the only pre‐extubation factors significantly associated with extubation failure. Assessment by specialist physiotherapists demonstrated greater sensitivity (100% vs. 22%) but lower specificity (68% vs. 95%) to detect extubation failure compared with the assessment performed by nonspecialist physiotherapists.ConclusionPatients classified as “high risk” of extubation failure by a physiotherapist are significantly more likely to fail extubation. Specialist physiotherapists should be involved in the decision to extubate patients in the adult ICU.

BEP &amp; MAPPING PROCESS FOR THE RESTORATION BUILDING SITE

Abstract. The BEP, acronym for BIM Execution Plan, consists of the information management plan created by the design team to illustrate how to meet the requirements defined in the Employer's Information Requirement (EIR).The big amount of data will have to be organized a priori both for the professionals who will use that piece of information and for the stakeholders who will have to receive only the right information and use specific worksets. Just at this stage, the heart of the BIM method, there are different advantages compared to the traditional process, in which these informational steps were omitted, causing errors, delays and therefore an increase in active and passive costs. This paper explores the methodology applied to the mapping process of the management of a recovery site. For a better understanding of the result achieved, the stages of the process have been explained, from the acquisition of data, through the scan to BIM process up to the construction phases. In addition, the phases (Identify BIM goal and uses, Design BIM Project Execution Process, Develop information exchange) and the steps (Investigation, Identification and Strategy) necessary to achieve the objective have been analyzed. This is the Lean construction and Integrated Project Delivery (IPD), methodologies and systems that allow the improvement of the building process thanks to data sharing and communication between stakeholders before work begins so as to eliminate any possible delay.

Understanding health information management practices in public hospitals in Kuwait.

Health information technology (IT) solutions can aid healthcare reform efforts, but without proper information management, these efforts are futile. In this study, we used Kuwait as an example of a high per-capita gross domestic product country that faces information management challenges to draw insights that can be generalised to other developed countries. (i) to uncover the status quo of information management practices in public hospitals and (ii) to offer recommendations to improve them. This study analysed qualitative and quantitative accreditation-related data pertaining to the compliance with the information management standard at all secondary care public hospitals over two accreditation cycles. Overall, public hospitals had made positive progress in their compliance with the information management standard. However, issues still existed with (i) developing and implementing an information management plan, (ii) involving the appropriate stakeholders in selecting health IT solutions and (iii) access to the Internet by staff and patients. Evidence underscored the importance of proper information management driven by clear centralised strategic plans. With the rapid adoption of digital health systems, the role of health information management leaders should not be undervalued. Embracing health IT solutions with strong information management practices can aid healthcare reform efforts.

A Model Information Management Plan for Molecular Pathology Sequence Data Using Standards: From Sequencer to Electronic Health Record

Incorporating genetic variant data into the electronic health record (EHR) in discrete computable fashion has vexed the informatics community for years. Genetic sequence test results are typically communicated by the molecular laboratory and stored in the EHR as textual documents. Although text documents are useful for human readability and initial use, they are not conducive for data retrieval and reuse. As a result, clinicians often struggle to find historical gene sequence results on a series of oncology patients within the EHR that might influence the care of the current patient. Second, identification of patients with specific mutation results in the EHR who are now eligible for new and/or changing therapy is not easily accomplished. Third, the molecular laboratory is challenged to monitor its sequencing processes for nonrandom process variation and other quality metrics. A novel approach to address each of these issues is presented and demonstrated. The authors use standard Health Level 7 laboratory result message formats in conjunction with international standards, Systematized Nomenclature of Medicine Clinical Terms and Human Genome Variant Society nomenclature, to represent, communicate, and store discrete gene sequence data within the EHR in a scalable fashion. This information management plan enables the support of the clinician at the point of care, enhances population management, and facilitates audits for maintaining laboratory quality.

Research on a Watermarking Algorithm for Remote Sensing Images Resist Screen Capture Attacks in Urban Planning Information Management

Remote Sensing data, as an essential urban basic information in urban planning, has the characteristics of large information capacity, real time, high update speed and accuracy. Because of urban spatial information involving multi-faceted public and public interests, its data security is very important. The use of digital watermarking technology can effectively protect the secu-rity of urban planning basic data. In practical applications, the “screen capture” poses a great threat to the security of remote sensing image. In order to resist the screen capture attacks, the QR code watermark information is encoded and converted, and combined with a circular angle template watermark, a digital watermarking algorithm for remote sensing images in urban planning information management is proposed. And the proposed algorithm is experimentally verified. Experiments show that the algorithm is robust against screen capture attacks, and provide security guarantee for urban construction and management.

Identifying the Key Information and Land Management Plans for Water Conservation under Dry Weather Conditions in the Border Areas of the Syr Darya River in Kazakhstan

Due to an increase in poorly planned anthropogenic activities, the water quality of several Asian big rivers is highly being affected. Although the assessment of heavy metal contents is vital to develop and design sustainable water management plans, several areas in Central Asia such as Kazakhstan do not have recent studies available that evaluate this situation. One representative example of this lack of information is the Syr Darya River. Thus, this study carried out the first approach to a water quality assessment in Kazakhstan’s Syr Darya River, where a massive expansion of irrigation canals, pastures in middle- and lower-reaches and an increase in industrialization and population have lowered its potential water capacity. To achieve this goal, various physicochemical parameters were analyzed for forty-three water samples along the river under dry weather conditions at 25 cm water depth. The obtained results were analyzed using standard methods (e.g., Multi N/C 2100 S analyzer or an atomic absorption spectrometer) and evaluated by multivariate techniques (cluster analysis (CA), principal component analysis (PCA), and non-metric multidimensional scaling (NDMS)) and a heavy metal pollution index (HPI). In the CA, five cluster groups were obtained. It is important to remark that the first cluster consists of the highest number of water sampling points (8). The last cluster is made up of only one point, which shows the highest difference against the other sites in our model. The NDMS also confirmed that some specific points along the river are different. Five components were extracted from the PCA: (1) COD (chemical oxygen demand), Zn, Cu, Pb, Ni and Mn; (2) Cu, Cd, Ni and Co; (3) T (water temperature), pH and DO (dissolved oxygen); (4) T and Fe; and (5) COD and OC (organic carbon). The HPI showed very high values (279.9), which were locally confirmed in some hotspots close to the Aral Sea, industrialized areas and agricultural fields. Therefore, our results demonstrate that, under dry weather conditions, surface water resources could be mismanaged in the Syr Darya River in Kazakhstan in specific areas. For the future, considering the important role that agriculture and pasture play in the Kazakh economy, we insist upon the importance of applying water quality control measures applying nature-based solutions and efficient management plans. Moreover, we confirmed the necessity to conduct further research related to sampling under other weather situations such as wet and cold conditions, different river water depths and other locations considering specific land uses, for example, grazing, mining, railways or industries.

Combining phylogeography and landscape genetics to infer the evolutionary history of a short-range Mediterranean relict, Salamandra salamandra longirostris

Examining historical and contemporary processes underlying current patterns of genetic variation is key to reconstruct the evolutionary history of species and implement conservation measures promoting their long-term persistence. Combining phylogeographic and landscape genetic approaches can provide valuable insights, especially in regions harboring high levels of biodiversity that are currently threatened by climate and land cover changes, like southern Iberia. We used genetic (mtDNA and microsatellites) and spatial data (climate and land cover) to infer the evolutionary history and contemporary genetic connectivity in a short-range endemic salamander subspecies, Salamandra salamandra longirostris, using a combination of ecological niche modelling, phylogeographic, and landscape genetic analyses. Ecological-based analyses support a role of the Guadalquivir River Basin as a major vicariant agent in this taxon. The lower genetic diversity and greater differentiation of peripheral populations, together with analyses of climatically stable areas throughout time, suggest the persistence of a population in the central part of the current range since the Last Inter Glacial [LIG; ~ 120,000–140,000 years BP], and a micro refugium in the eastern end of the range. Habitat heterogeneity plays a major role in shaping patterns of genetic differentiation in S. s. longirostris, with forests representing key areas for its long-term persistence under scenarios of environmental change. Our study stresses the importance of maintaining population genetic connectivity in low-dispersal organisms under rapidly changing environments, and will inform management plans for the long-term survival of this evolutionarily distinct Mediterranean endemic.

DYNAMICAL PREDICTION TECHNIQUE FOR GEOSIMULATION USING MULTISPECTRAL REMOTE SENSING DATA

Abstract. The analysis of dynamical models for prediction and geosimulation using the information extracted from a geographical region processed from the data provided by multispectral remote sensing systems provides useful information for urban planning and resource management. However, several topics of interest on this particular matter are still to be properly studied. Using the remote sensing data that has been extracted from multispectral images from a particular geographic region in discrete time, its dynamic study is performed in both, spatial resolution and time evolution, in order to obtain the dynamical model of the physical variables and the evolutionary information about the data. This provides a background for understanding the future trends in development of the dynamics inherent in the multispectral and high-resolution images. This proposition is performed via an intelligent computational paradigm based on the use of dynamical filtering techniques modified to enhance the quality of reconstruction of the data extracted from multispectral remote sensing images and using high-performance computational techniques to unify the available data scheme with its dynamic analysis and, therefore, provide a behavioral model of the sensed data.

Data Flow Design for Power Network Planning Software

In view of the practical difficulties of basic data in the power grid planning work, and combined with the present situation of information systems in power grid companies, this paper puts forward the ideas about how to design planning basic data storage, and the flow of various data in the planning management information system, with the systematic analysis method and system integration mind. Firstly, the systematic analysis and multi hierarchy architecture method was employed to design and implement the power grid planning information system. Then the data flow theory was used to optimize the data flow within the panning system and the data inflow and data interfaces with external planning data source information systems. Finally, the organization architecture of the complex planning data was also designed finally. By applying the above results, a basic database and its advanced functions have been constructed. Practical application shows that the research results of this paper can integrate the existing data resources effectively, and ensure the accuracy and timeliness of the basic data for planning, so as to support the advanced planning function efficiently.

Crop type mapping from pansharpened Landsat 8 NDVI data: A case of a highly fragmented and intensive agricultural system

Retrieving crops and their location, as well as their spatial extent, are useful information for agricultural planning and better management of irrigation water resources as well as for crop health monitoring, towards an increased food production and reduced water use. Multispectral remote sensing images with a spatial resolution of 30 m or greater are often used for mapping crops in extensive agricultural systems at global and regional scale. However, that spatial resolution is inadequate for mapping highly fragmented and intensive agricultural landscapes, such as the Tadla Irrigated Perimeter (TIP) in central Morocco. Hence, our study aims to: (1) identify and map major crops in the TIP with improving the spatial resolution of producing maps from 30 m to 15 m; (2) retrieve the area of major cultivations; (3) compare machine learning classifiers namely, Support Vector Machine (SVM), Random Forest (RF) and Spectral Angle Mapper (SAM) as a distance-based classifier. Our methodology is based on the Landsat-8 OLI (Operational Land Imager) data pan-sharpened to 15 m. SAM, RF and SVM classifiers were used and compared for retrieving crops from a multitemporal dataset of the Normalized Difference Vegetation Index (NDVI) for 10 periods during the agricultural season. The RF, SVM and SAM have classified the major crops with overall accuracies of 89.26%, 85.27% and 57.17% respectively, and kappa coefficient of 85%, 80% and 43%, respectively, noting that sugar beet, tree crops and cereals are delineated accurately while alfalfa is not. This study showed a high performance by using time-series pan-sharpened OLI NDVI data coupled with machine learning classifiers for mapping different crops in irrigated, very fragmented and heterogeneous agricultural landscape.

THE METHOD OF MULTIPLE SPATIAL PLANNING BASIC MAP

Abstract. The “Provincial Space Plan Pilot Program” issued in December 2016 pointed out that the existing space management and control information management platforms of various departments were integrated, and a spatial planning information management platform was established to integrate basic data, target indicators, space coordinates, and technical specifications. The planning and preparation will provide supportive decision support, digital monitoring and evaluation of the implementation of the plan, implementation of various types of investment projects and space management and control departments involved in military construction projects in parallel to approve and approve, and improve the efficiency of administrative approval. The space planning system should be set up to delimit the control limits for the development of production, life and ecological space, and the control of use is implemented. On the one hand, it is necessary to clarify the functional orientation between various kinds of planning space. On the other hand, it is necessary to achieve “multi-compliance” of various space planning. Multiple spatial planning intergration need unified and standard basic map(geographic database and technical specificaton) to division of urban, agricultural, ecological three types of space and provide technical support for the refinement of the space control zoning for the relevant planning. The article analysis the main space datum, the land use classification standards, base map planning, planning basic platform main technical problems. Based on the geographic conditions, the results of the census preparation of spatial planning map, and Heilongjiang, Hainan many rules combined with a pilot application.

Estimating spatial non-stationary environmental effects on the distribution of species: a case study from American lobster in the Gulf of Maine

AbstractEstimating spatial distribution of a species is traditionally achieved using global regression models with the assumption of spatial stationarity of relationships between species and environmental variables. However, species abundance and environmental variables are often spatially correlated and the strength of environmental effects may exhibit spatial non-stationarity on the species distribution. We applied local models, such as season-, sex-, and size-specific geographically weighted regression (GWR) models, on American lobster to explore non-stationary environmental effects on the presence and density of lobsters in the inshore Gulf of Maine (GOM). This species and its fishery have undergone a dramatic increase in abundance over the past two decades. Model results showed that the strength of the estimated relationships in the western GOM were different with the relationships in the eastern GOM during 2000–2014. Bottom water temperature had a more significant positive impact on the increase of lobsters in the eastern GOM, while the influence of temperature was less significant in the west and the more distinguishable drivers of distribution needed to be identified. The estimation of locally varied relationships can further improve regionally informed management plans. The modeling approach can be widely applied to many other species or study areas.

Norm, gender, and bribe-giving: Insights from a behavioral game.

Previous research has suggested that bribery is more normative in some countries than in others. To understand the underlying process, this paper examines the effects of social norm and gender on bribe-giving behavior. We argue that social norms provide information for strategic planning and impression management, and thus would impact participants’ bribe amount. Besides, males are more agentic and focus more on impression management than females. We predicted that males would defy the norm in order to win when the amount of their bribe was kept private, but would conform to the norm when it was made public. To test this hypothesis, we conducted two studies using a competitive game. In each game, we asked three participants to compete in five rounds of creative tasks, and the winner was determined by a referee’s subjective judgment of the participants’ performance on the tasks. Participants were allowed to give bribes to the referee. Bribe-giving norms were manipulated in two domains: norm level (high vs. low) and norm context (private vs. public), in order to investigate the influence of informational and affiliational needs. Studies 1 and 2 consistently showed that individuals conformed to the norm level of bribe-giving while maintaining a relative advantage for economic benefit. Study 2 found that males gave larger bribes in the private context than in the public, whereas females gave smaller bribes in both contexts. We used a latent growth curve model (LGCM) to depict the development of bribe-giving behaviors during five rounds of competition. The results showed that gender, creative performance, and norm level all influence the trajectory of bribe-giving behavior.

The Current State of Resource Planning and Enterprise Management Information Systems

Статья посвящена современному состоянию развития информационных систем планирования ресурсов и управления предприятием. Рассказывается о развитии методологий управления предприятием с помощью программно-инструментальных средств. Затрагивается тема эволюции методологий, с помощью которых автоматизируется деятельность предприятия, а именно: «Планирование потребностей в материалах», «Планирование производственных мощностей», «Планирование производственных ресурсов», «Планирование ресурсов предприятия, синхронизированное с запросами потребителя». Рассматриваются самые распространенные на российском рынке информационные системы планирования ресурсов и управления крупным предприятием, такие как «1C:Предприятие», Microsoft Dynamics AX, SAP ERP, Oracle E-Business Suite, Sage ERP. Кроме того, автором рассмотрены системы более подходящие для автоматизации деятельности предприятий малого и среднего бизнеса, такие как Microsoft Dynamics NAV, «Галактика ERP», «Парус-Предприятие», Epicor iScala, КАС «Бизнес-Люкс». При рассмотрении каждой из перечисленных систем упоминаются отрасли, в которых данные системы используются, стоимости лицензий, функциональность, используемые системы управлении базами данных. а также самые известные на российском рынке предприятия, на которых внедрены и используются рассматриваемые в статье системы планирования ресурсов и управления предприятием.