We Can Work It Out - The Globalisation of ICT-enabled Services

This paper examines the relationship between the share of employment potentially affected by offshoring and economic and structural factors, including trade in business services and foreign direct investment (FDI), using simple descriptive regressions for a panel of OECD economies between 1996 and 2003. It tests whether there are differences in the factors driving the shares of potentially offshorable "non-clerical" and clerical occupations in total employment. The results show a positive statistical association between the share of both "non-clerical" and clerical occupations potentially affected by offshoring and exports of business services, and a negative association with imports of business services. However, the results also show important differences between different types of occupations as they behave differently over time, and are affected differently by variables included in the model. In particular, net outward manufacturing FDI, ICT investment, and the relative size of the services sector all have a positive association with the share of potentially offshorable "non-clerical" occupations, but are negative with clerical occupations. Union density has a positive statistical association with clerical occupations but negative with "non-clerical" occupations. These results have important implications for policy, as they clearly suggest that different factors are driving the performance of different occupational groups.

Small cities face greater impact from automation

The city has proven to be the most successful form of human agglomeration and provides wide employment opportunities for its dwellers. As advances in robotics and artificial intelligence revive concerns about the impact of automation on jobs, a question looms: How will automation affect employment in cities? Here, we provide a comparative picture of the impact of automation across U.S. urban areas. Small cities will undertake greater adjustments, such as worker displacement and job content substitutions. We demonstrate that large cities exhibit increased occupational and skill specialization due to increased abundance of managerial and technical professions. These occupations are not easily automatable, and, thus, reduce the potential impact of automation in large cities. Our results pass several robustness checks including potential errors in the estimation of occupational automation and sub-sampling of occupations. Our study provides the first empirical law connecting two societal forces: urban agglomeration and automation's impact on employment

A framework for knowledge discovery within business intelligence for decision support

This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Business Intelligence (BI) techniques provide the potential to not only efficiently manage but further analyse and apply the collected information in an effective manner. Benefiting from research both within industry and academia, BI provides functionality for accessing, cleansing, transforming, analysing and reporting organisational datasets. This provides further opportunities for the data to be explored and assist organisations in the discovery of correlations, trends and patterns that exist hidden within the data. This hidden information can be employed to provide an insight into opportunities to make an organisation more competitive by allowing manager to make more informed decisions and as a result, corporate resources optimally utilised. This potential insight provides organisations with an unrivalled opportunity to remain abreast of market trends. Consequently, BI techniques provide significant opportunity for integration with Decision Support Systems (DSS). The gap which was identified within the current body of knowledge and motivated this research, revealed that currently no suitable framework for BI, which can be applied at a meta-level and is therefore tool, technology and domain independent, currently exists. To address the identified gap this study proposes a meta-level framework: - ‘KDDS-BI’, which can be applied at an abstract level and therefore structure a BI investigation, irrespective of the end user. KDDS-BI not only facilitates the selection of suitable techniques for BI investigations, reducing the reliance upon ad-hoc investigative approaches which rely upon ‘trial and error’, yet further integrates Knowledge Management (KM) principles to ensure the retention and transfer of knowledge due to a structured approach to provide DSS that are based upon the principles of BI. In order to evaluate and validate the framework, KDDS-BI has been investigated through three distinct case studies. First KDDS-BI facilitates the integration of BI within ‘Direct Marketing’ to provide innovative solutions for analysis based upon the most suitable BI technique. Secondly, KDDS-BI is investigated within sales promotion, to facilitate the selection of tools and techniques for more focused in store marketing campaigns and increase revenue through the discovery of hidden data, and finally, operations management is analysed within a highly dynamic and unstructured environment of the London Underground Ltd. network through unique a BI solution to organise and manage resources, thereby increasing the efficiency of business processes. The three case studies provide insight into not only how KDDS-BI provides structure to the integration of BI within business process, but additionally the opportunity to analyse the performance of KDDS-BI within three independent environments for distinct purposes provided structure through KDDS-BI thereby validating and corroborating the proposed framework and adding value to business processes

Snakes or Ladders? Skill Upgrading and Occupational Mobility in the US and the UK during the 1990s

It is frequently argued that the process of skill upgrading has both worsened the employment prospects and decreased the relative wages of unskilled workers. However, workers are not immutably either low skill or high skill, and skill upgrading may offer the opportunity for workers to move up the ‘skill ladder’. In this paper we examine the balance of these two effects. We use comparable individual-level panel data from the US and the UK to relate the probability of individual occupational movement to the extent of skill upgrading at the industry level. We find that whilst skill upgrading does indeed have a positive impact on the probability of moving up the job ladder, this is insufficient to outweigh the increased probability of unemployment. We also find that workers moving down or off the ladder suffer large wage penalties.Skill upgrading, occupational mobility, promotions and demotions