The distribution of regional earnings in the UK

Utilizing a micro sample of 7317 individuals extracted from the General Household Survey 1973, we show that money earnings and real earnings vary considerably across British regions even when other factors such as education and industry mix are held constant. We also find that real earnings do not follow the pattern of money earnings; if anything, quite the reverse. Whereas monetary rewards are the greatest in the South East of England, real rewards are the greatest in the Midlands and the North East of England. Scottish regions, however, appear to fare the worst in both money and real terms.     

Experimenting with Supply Chain Learning (SCL): Supplier Diversity and Ethnic Minority Businesses

This paper reports on an innovative UK-based ‘Supply Chain Learning’ (SCL) initiative to encourage the corporate sector to consider supplier diversity in respect of ethnic minority businesses. This follows academic and policy interest in programmes to empower ethnic minority enterprises to achieve breakout to mainstream markets and business growth. The first phase of the initiative, entitled Supplier Development East Midlands (SDEM) is examined. By adopting an inter-organisational action learning approach, some of the key attributes of the programme are delineated, focusing on the recurrent action-reflection cycle taking place in a learning group comprising SDEM, LPOs (Large Purchasing Organisations) and small EMSs (Ethnic Minority Suppliers).     

Inter-firm scalar linkage in India: A class within the small scale industry

Along with the growing industrial sector, functional complementarity between large and small scale enterprises has become a widely prevalent phenomenon. Expanding the base of the industrial production leads to division of processes where large and small scale units operate as complementary to each other. Such complementarity and division of labour between the different sized units results into cost minimization, and acceleration in growth of the manufacturing sector.However the extent and the pattern of functional complementarity (between large and small scale enterprises) is likely to be conditioned by market as well as institutional factors. Therefore, in order to examine the impact of interscale complementarity in terms of growth as well as of distribution of gains across large and small scale enterprises it is very important to learn about the nature of interfirm linkages and the process through which linkages get established. It is in this context, the present paper furnishes details based on a case study of Textile Machinery Parts Manufacturing (TMP) industry in a metropolitan city (Ahmedabad). The industry represented is constituted by a large number of small scale firms that are engaged in fabricating replacement parts for the users of machinery equipments (i.e. Textile Mills) who operate on a large scale. Owing to wide range of products, and in case of some parts higher frequency of replacement, the TMP industry, at least till recently, has sustained a large number of small firms.The major findings of the analysis are: (i) The incidence of inter-firm linkages is limited to about a third of the small scale firms; (ii) Among various forms of linkages the marketing linkages are the most predominant (iii) The linkage relationship has been a positive factor in determining the performance of the small scale firms; (iv) Personal contacts play an important role in inter-firm linkages, thus benefits of linkage relationship are mainly confined to a small social-group of industrialists; (v) While the small scale suppliers operate under a highly competitive market, the buyers often enjoy oligopsonist's advantage; hence the gains of competitive efficiency tend to favour the large scale sector.     

Analysing the correlation between social network analysis measures and performance of students in social network-based engineering education

Social network-based engineering education (SNEE) is designed and implemented as a model of Education 3.0 paradigm. SNEE represents a new learning methodology, which is based on the concept of social networks and represents an extended model of project-led education. The concept of social networks was applied in the real-life experiment, considering two different dimensions: (1) to organize the education process as a social network-based process; and (2) to analyze the students’ interactions in the context of evaluation of the students learning performance. The objective of this paper is to present a new model for students evaluation based on their behavior during the course and its validation in comparison with the traditional model of students’ evaluation. The validation of the new evaluation model is made through an analysis of the correlation between social network analysis measures (degree centrality, closeness centrality, betweenness centrality, eigenvector centrality, and average tie strength) and the grades obtained by students (grades for quality of work, grades for volume of work, grades for diversity of work, and final grades) in a social network-based engineering education. The main finding is that the obtained correlation results can be used to make the process of the students’ performance evaluation based on students interactions (behavior) analysis, to make the evaluation partially automatic, increasing the objectivity and productivity of teachers and allowing a more scalable process of evaluation. The results also contribute to the behavioural theory of learning performance evaluation. More specific findings related to the correlation analysis are: (1) the more different interactions a student had (degree centrality) and the more frequently the student was between the interaction paths of other students (betweenness centrality), the better was the quality of the work; (2) all five social network measures had a positive and strong correlation with the grade for volume of work and with the final grades; and (3) a student with high average tie strength had a higher grade for diversity of work than those with low ties.