Women in management in the new economic environment:the case of India

Liberalization of the Indian economy has created considerable employment opportunities for those, including women, who possess marketable skills and talent. Historically, women in India have not enjoyed a good status in workplace settings whether in managerial or operative roles. This traditional positioning of women has restricted the intensity of their efforts towards realizing the benefits of the globalisation process. An attempt has been made in this contribution to highlight the important issues relating to women in management in the Indian context. The messages from a review of the literature are analysed. Research evidence from various sources is presented to highlight the dynamics of developments in the status of Indian women managers. The contribution discusses the main aspects of the historical, socio-cultural and economic factors influencing women managers: issues concerning gender-based stereotypes; the main barriers to women's movement to top managerial positions; the impact of developments in information technology (IT) on women managers; and the way forward. Results from two research projects are also presented. The analysis has important messages for practitioners and contributes to women's studies and management in the Indian context. © 2005 Taylor & Francis Ltd.

Impact of liberalization on efficiency and productivity of sugar industry in Kenya

Purpose – The data used in this study is for the period 1980-2000. Almost midway through this period (in 1992), the Kenyan government liberalized the sugar industry and the role of the market increased, while the government's role with respect to control of prices, imports and other aspects in the sector declined. This exposed the local sugar manufacturers to external competition from other sugar producers, especially from the COMESA region. This study aims to find whether there were any changes in efficiency of production between the two periods (pre and post-liberalization). Design/methodology/approach – The study utilized two methodologies to efficiency estimation: data envelopment analysis (DEA) and the stochastic frontier. DEA uses mathematical programming techniques and does not impose any functional form on the data. However, it attributes all deviation from the mean function to inefficiencies. The stochastic frontier utilizes econometric techniques. Findings – The test for structural differences in the two periods does not show any statistically significant differences between the two periods. However, both methodologies show a decline in efficiency levels from 1992, with the lowest period experienced in 1998. From then on, efficiency levels began to increase. Originality/value – To the best of the authors' knowledge, this is the first paper to use both methodologies in the sugar industry in Kenya. It is shown that in industries where the noise (error) term is minimal (such as manufacturing), the DEA and stochastic frontier give similar results.