These include optimizing internal systems such as scheduling the machines that power the numerous computations done each day, as well as optimizations that affect core products and users, from online allocation of ads to page-views to automatic management of ad campaigns, and from clustering large-scale graphs to finding best paths in transportation networks.
Along with the provision of food, sustaining livelihoods, enhancing nutrition and the ability to cope with rapid changes in the environment and marketplaces are equally important to millions of small farmers. Data science can help in many ways. In this article, we outline the beginnings of data science applications in Indian agriculture.
We cover various initiatives such as data collection, visualization and information dissemination and applications of algorithmic data analysis techniques for decision support. We describe one application under development that provides timely price information to farmers, traders and policy makers.
Published Papers Devalkar, Sripad K.
The firm procures an input commodity and processes it to produce an output commodity over a multi-period horizon. We show that the resulting optimal operational policy has the same price and horizon dependent threshold structure that characterizes the known optimal policy when markets are complete or financial distress costs are small.
We investigate whether and how family ownership and management influence firms' internationalization strategies in an emerging economy in which family firms are dominant.
Anchoring on the willingness and ability framework and drawing on the socioemotional wealth perspective and agency theory, we theorize how the heterogeneity among family firms in their ownership structures, concentration, and family involvement in management shapes the firms' internationalization strategies.
We also theorize how certain contingencies, such as the presence of foreign institutional ownership and family management, moderate the relationship between family ownership and internationalization strategy.
We test our predictions by using a proprietary, longitudinal panel dataset of leading family firms from India and find support for most of our theoretical predictions. Internationalization has emerged as a dominant strategy for firms in a globally interconnected world.
We observe that ownership structure and management have significant bearing on internationalization strategies of family firms, as family owners and managers are more averse to internationalization. Family firms' aversion to internationalize is more pronounced when families can exercise greater control on firms' actions through the combined effect of higher family ownership primarily through strategic control and family's participation in management through strategic, administrative, and operational control.
However, certain contingencies, such as the higher ownership of foreign institutions and presence of professional managers, help business families improve their understanding of international markets, reduce the fear of the unknown, and better appreciate the benefits of internationalization, thereby aiding greater internationalization of family firms.Google publishes hundreds of research papers each year.
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