Data mining computer audit logs to detect computer misuse

All computers are vulnerable to misuse either by unauthorized users penetrating the system or by authorized users abusing their privileges. This paper describes the use of a data mining process to sift through large (gigabytes) computer audit log databases to detect potential improper accesses of sensitive data files by authorized users. Computer audit logs record information about what files were accessed by which users and when. The detection of computer misuse is important because computer misuse can be related to acts of computer fraud, information theft, software piracy, and violations of privacy, to name a few. The data mining process described in this paper can be applied to detect possible fraud in a wide variety of situations that share some common characteristics: first, a class of ‘sensitive’ files can be identified which may be subject to improper access; second, the selection of files by users is a random process; and third, the probability that a user-selected file is from the sensitive class should be the same for all members of a group of users. Examples of possible applications of the data mining process include detecting inappropriate accesses to classified files, celebrity files, financial accounts with high balances, and files known to have been improperly used. © 1998 John Wiley & Sons, Ltd.     

Higher Level Skills Training: Meeting the Needs of Small Businesses

In order for businesses to remain competitive it is suggested that across industry there is a requirement for ‘higher and broader’ skills. Universities have an important role to play in satisfying the need for higher level skills training for businesses of all sizes. With respect to small firms, the training and development provided by universities has traditionally been founded upon an educational/large firm model. In order to make significant in-roads into the small firm training market it is argued that universities need to attend more closely to the specific needs of client organisations. One way in which the small firm higher level skills training market can be segmented is in terms of sector. The present study examines the higher level skills training needs of a sample of UK small firms from the perspective of sectoral variations. Differences between firms occupying different sectors were observed in terms of funding of training, responsibility for training and types of higher level skills training undertaken. Attitudes towards universities as training providers were generally favourable with little inter-sectoral variation. It is argued that these findings need to be taken into account if universities are to address the real, as opposed to perceived or presumed, needs of small businesses. A systematic-collaborative model of the customer-supplier relationship for the small firm training market is put forward.     

A multilevel examination of the relationship between role overload and employee subjective health: The buffering effect of support climates

Although the belief that support alleviates the detrimental effect of job demands on employee health is intuitive, past research has produced an equivocal picture, requiring a renewed evaluation of this relationship. In the present study, we examine three sources of support (from the organization, leader, and team) that employees may draw from to reduce the negative effect of a specific job demand, that is, role overload. Unlike most prior research, we focus on these sources of support at the group level of analysis to determine the relative effectiveness of organizational support climate, leadership climate, and team climate as moderators of the role overload–subjective health relationship. Hierarchical linear modeling of data from 2,288 employees nested in 132 workgroups in a state administration of Switzerland revealed that, after controlling for individual perceptions of support, team climate weakened the negative relationship between role overload and health. We did not find support for the buffering effect of organizational support or leadership climates. The article provides a nuanced test of the support‐buffering hypothesis by simultaneously exploring individual and group‐level sources of support and by demonstrating that some sources of support matter more than others in ameliorating the negative outcomes of role overload.     

Using input–output models to estimate sectoral effects of carbon tax policy: Applications of the NGFS scenarios

The Network of Central Banks and Supervisors for Greening the Financial System (NGFS) has engaged in scenario analysis that estimates a $200/ton carbon tax would be required to transition to net zero carbon by 2050. Using a $200/ton carbon tax as a base, this paper uses input–output (IO) modeling to generate price and revenue effects of a carbon tax. Results from these models, which can only be interpreted as the short-run, upper-bound effects of the carbon tax policy, imply that in response to a $200/ton tax on CO₂e emissions, carbon-intensive industries, such as agriculture, extraction, transportation, utilities, and chemicals, may experience price increases in the range of 10-30 percent. Other industries will also experience price increases, but to a lesser degree, due to increased input costs associated with the tax. In addition, modeling results also suggest that industries facing elastic pricing regimes may face similar-sized declines in revenues as a consequence of the carbon tax. Rank-ordered impact results from these models can be utilized by bank supervisors and firms to adequately plan for sectoral-level transition risk within their lending and/or investment portfolios.     

Habit persistence in assets demand

Habit persistence is examined for six asset demand categories using U.S. data and a dynamic forward-looking model. We find habit persistence is greater for more liquid assets compared to riskier assets and may in part explain low holdings of riskier assets. Cash assets are found to be substitutes with other liquid assets under habit formation. Consistent with portfolio analysis, the riskier asset categories of money market mutual funds and bonds are found to be complements in use. The three more risky asset categories have budget elasticities greater than unity indicating that in the long run consumers are more likely to turn to these assets as their wealth increases.     

Smartphone bans and workplace performance

Experimental Economics - This paper constitutes the first economic investigation into the potential detrimental role of smartphones in the workplace based on a field experiment. We exploit the...     

Street Name Fluency and Housing Prices

This paper examines whether and how street name fluency affects housing prices using a rich sample of housing transactions in Sydney, Australia. We find street names with longer words are preferred, i.e., homes on street names with more letters are priced with a 0.6% premium. Homes with unique street names are sold 1.6% (or A$10,835) higher than those with more common names, implying disfluency and uniqueness preference. Moreover, homes with less fluent street names are valued more conditional on the street name is rare or the home is in the luxury price range. This is consistent with the consumption context effect in the psychology literature that in the context of special occasion high-end goods, lower fluency and grater uniqueness makes the products feel more desirable and valuable.

While we show disfluency preference on aggregate, we also find evidence of fluency preference by non-English speaking buyers and for new developments. Preferences for royal names or popular words proxied by Google Trends are also documented. Overall, our findings shed light on understanding how name fluency affects the investment decision of special occasion goods such as real estate.

     

The US–China Phase One trade deal: An economic analysis of the managed trade agreement

In light of the recent tit-for-tat trade dispute between China and the US, interest in quantifying the effects of the so-called Phase One agreement has risen. To this end, this paper quantifies the impact of the asymmetric managed trade agreement using such a multi-country open-economy dynamic general equilibrium model. Besides assessing the direct implications for China and the US, this paper analyzes trade diversion effects. The model-based analysis finds noticeable positive (negative) impacts of the agreement for the US (China) as well as negative spillover effects for countries not directly affected by the managed trade deal due to trade diversion. The impact of possible future trade agreements is also examined.     

High reliability Human Resource Management (HRM): A system for high risk workplaces

High Performance Work Systems (HPWS) research is based on the search for the most suitable bundle of complementary practices appropriate for the organisation and its operating environment. We examine the contents of a HPWS in organisations seeking impeccable safety and reliability as their foremost ‘performance’ outcome. We propose a ‘High Reliability HRM’ framework, and examine the degree of implementation in a three case study of Australian state emergency services organisations. The findings highlight HRM practices inconsistent with the framework, and illustrated by rich interview accounts, we detail associated negative implications for employee behaviour and attitudes. We contribute to HPWS research by empirically examining how reliability-seeking organisations conceptualise and implement HRM systems. This study emphasises how inconsistency in HRM practice bundles can pose a threat to reliable service provision, a critical finding for emergency services and reliability-seeking organisations more broadly.