The Demand for Information Technology Knowledge and Skills: An Exploratory Investigation

Organizations are always in search of appropriate information technology knowledge and skills to carry out normal business operations. Such demand is directly impacted by the overall economic conditions. During stressful economic times, managers, facing tough budgetary pressure, are farced to examine more thoroughly what knowledge and skills are needed to survive. This paper investigates the desired information technology knowledge and skills that employers are searching for in these turbulent times. We examine the content ofjob advertisements for information technology professionals placed in an online job placement website over a 2 year period, 2001-2002

Information Technology Wages and the Value of Certifications: A Human Capital Perspective

Although the value of Information Technology (IT) certifications has been widely debated in the IT industry, academia has largely ignored the issue. This study intends to bridge such a gap. Anchored on human capital theory and previous literature, we build a comprehensive model to estimate the value of various IT certifications in terms of their contributions to IT professionals\u27 wages. We estimate our model using third-party survey data. The three main findings from the study are: 1) IT certifications are valuable in general; 2) there is a substitution effect between IT certifications and education and between IT certifications and experience; and 3) the value of IT certifications are job and industry specific. In addition, we estimate wage premiums of various IT certifications in the study. From these findings, we draw managerial implications for current and future IT professionals, IT managers, and human resource managers

The Human Capital Value of OOP

If object-oriented programmers are more productive than other programmers, they should be paid more, assuming that wages are determined based on the value of a worker\u27s marginal productivity. The human capital model is used to assess the current salary premiums of programmers who know object-oriented programming (OOP). While the human capital model employed quantifies this premium, it also controls for the effects of different amounts of technical experience and different levels of education (highest attained degree) that the programmers possess. Using two samples, the incremental value of OOP skills is shown to be about the same over the two different time periods (2000/2001 and 2003)

Revisiting Global Information Systems Management Education

Business enterprises continue to globalize, motivated by their search for new markets, greater efficiency in the use of resources, and greater competitiveness. Information systems and technologies serve as one of the critical success factors for making this possible. Some IS curricula supported this development by either integrating more globalization into current courses or by delivering stand-alone courses in Global IS Management as electives or requirements. The purpose of this paper is to review and propose best practices for the Global IS Management course, and consider contingencies that can be expected to influence the choice and success of various approaches. The paper provides a categorization of such courses based on differences in education level (graduate/undergraduate) and student population (MIS/InternationalBusiness/ mixed). We discuss experiences with approaches and practices that work across these segments, and activities targeted to each segment. The paper revisits and argues for the need to expand this curriculum, and provides practical details for MIS faculty who seek to integrate it into their own programs

Effects of control interventions on Clostridium difficile infection in England: an observational study

Background: The control of Clostridium difficile infections is an international clinical challenge. The incidence of C difficile in England declined by roughly 80% after 2006, following the implementation of national control policies; we tested two hypotheses to investigate their role in this decline. First, if C difficile infection declines in England were driven by reductions in use of particular antibiotics, then incidence of C difficile infections caused by resistant isolates should decline faster than that caused by susceptible isolates across multiple genotypes. Second, if C difficile infection declines were driven by improvements in hospital infection control, then transmitted (secondary) cases should decline regardless of susceptibility. Methods: Regional (Oxfordshire and Leeds, UK) and national data for the incidence of C difficile infections and antimicrobial prescribing data (1998–2014) were combined with whole genome sequences from 4045 national and international C difficile isolates. Genotype (multilocus sequence type) and fluoroquinolone susceptibility were determined from whole genome sequences. The incidence of C difficile infections caused by fluoroquinolone-resistant and fluoroquinolone-susceptible isolates was estimated with negative-binomial regression, overall and per genotype. Selection and transmission were investigated with phylogenetic analyses. Findings: National fluoroquinolone and cephalosporin prescribing correlated highly with incidence of C difficile infections (cross-correlations >0·88), by contrast with total antibiotic prescribing (cross-correlations 0·2). Interpretation: Restricting fluoroquinolone prescribing appears to explain the decline in incidence of C difficile infections, above other measures, in Oxfordshire and Leeds, England. Antimicrobial stewardship should be a central component of C difficile infection control programmes

An integrated bioinformatics analysis reveals divergent evolutionary pattern of oil biosynthesis in high- and low-oil plants

Seed oils provide a renewable source of food, biofuel and industrial raw materials that is important for humans. Although many genes and pathways for acyl-lipid metabolism have been identified, little is known about whether there is a specific mechanism for high-oil content in high-oil plants. Based on the distinct differences in seed oil content between four high-oil dicots (20~50%) and three low-oil grasses (<3%), comparative genome, transcriptome and differential expression analyses were used to investigate this mechanism. Among 4,051 dicot-specific soybean genes identified from 252,443 genes in the seven species, 54 genes were shown to directly participate in acyl-lipid metabolism, and 93 genes were found to be associated with acyl-lipid metabolism. Among the 93 dicot-specific genes, 42 and 27 genes, including CBM20-like SBDs and GPT2, participate in carbohydrate degradation and transport, respectively. 40 genes highly up-regulated during seed oil rapid accumulation period are mainly involved in initial fatty acid synthesis, triacylglyceride assembly and oil-body formation, for example, ACCase, PP, DGAT1, PDAT1, OLEs and STEROs, which were also found to be differentially expressed between high- and low-oil soybean accessions. Phylogenetic analysis revealed distinct differences of oleosin in patterns of gene duplication and loss between high-oil dicots and low-oil grasses. In addition, seed-specific GmGRF5, ABI5 and GmTZF4 were predicted to be candidate regulators in seed oil accumulation. This study facilitates future research on lipid biosynthesis and potential genetic improvement of seed oil content

Panta Rhei benchmark dataset: socio-hydrological data of paired events of floods and droughts

As the adverse impacts of hydrological extremes increase in many regions of the world, a better understanding of the drivers of changes in risk and impacts is essential for effective flood and drought risk management and climate adaptation. However, there is currently a lack of comprehensive, empirical data about the processes, interactions and feedbacks in complex human-water systems leading to flood and drought impacts. Here we present a benchmark dataset containing socio-hydrological data of paired events, i.e., two floods or two droughts that occurred in the same area. The 45 paired events occurred in 42 different study areas and cover a wide range of socio-economic and hydro-climatic conditions. The dataset is unique in covering both floods and droughts, in the number of cases assessed, and in the quantity of socio-hydrological data. The benchmark dataset comprises: 1) detailed review style reports about the events and key processes between the two events of a pair; 2) the key data table containing variables that assess the indicators which characterise management shortcomings, hazard, exposure, vulnerability and impacts of all events; 3) a table of the indicators-of-change that indicate the differences between the first and second event of a pair. The advantages of the dataset are that it enables comparative analyses across all the paired events based on the indicators-of-change and allows for detailed context- and location-specific assessments based on the extensive data and reports of the individual study areas. The dataset can be used by the scientific community for exploratory data analyses e.g. focused on causal links between risk management, changes in hazard, exposure and vulnerability and flood or drought impacts. The data can also be used for the development, calibration and validation of socio-hydrological models. The dataset is available to the public through the GFZ Data Services (Kreibich et al. 2023, link for review: https://dataservices.gfz-potsdam.de/panmetaworks/review/923c14519deb04f83815ce108b48dd2581d57b90ce069bec9c948361028b8c85/).</p