This article documents that blockholders with both ownership and management control in family firms have different goals compared to blockholders with only ownership (but no management) control. We theorize and find evidence that family controlled and family managed (FCFM) firms negatively moderate the relationships between internationalization and governance mechanisms, while family controlled and nonfamily managed (FCNFM) firms do not. The findings indicate that family owners in FCFM firms have greater opportunities to reap private benefits of control indicating the presence of secondary (principal-principal) agency problems, while these problems are mitigated in FCNFM firms. In emerging economies like India where family firms are ubiquitous, they highlight the need to recognize differing blockholder influences on internationalization-governance relationships and to develop more nuanced theorizing for understanding them.
AWARDS AND HONORS
Dr. U Dinesh Kumar, Professor in Quantitative Methods & Information Systems, Indian Institute of Management Bangalore (IIMB), has been recognized as one of the Top 10 Most Prominent Analytic Academicians in India for his extensive research in big data analyses by Analytics India Magazine.
The magazine chose Professor Kumar for spearheading the analytics education industry in India. The magazine believes that India at the moment is at an inflection wherein there are hitherto unforeseen shifts in industry's attitude towards benefits and applications of Business Analytics. Addressing the radical emergence of Analytics as a serious subject of science and management, the magazine recognized Professor Kumar for introducing Business Analytics elective course in 2008 to the PGP students at IIM Bangalore and starting one of the first certificate programmes in Business Analytics in India in 2010.
Professor Dinesh Kumar regularly conducts corporate training programmes in Analytics and has trained more than 1000 professionals in the field of analytics in the last 8 years. Eleven of his case studies on Business Analytics based on Indian organizations such as Aavin Milk Dairy, Apollo Hospitals, Hindustan Aeronautics Limited, Indian Premier League, Shubham Housing Development Finance Company have been published at the Harvard Business Publishing.
He is the president of the Analytics Society of India (ASI).
The Akshaya Patra Foundation (TAPF), a Bangalore-based Indian non-governmental organization, is hailed globally for running the world's largest school meal programme. It has grown from serving five schools in Bangalore in June 2000 (1,500 children) a day to its current operations of 19 locations in nine Indian states, providing lunch meals to approximately 1.5 million school children every day. This case looks at the operations of one of its larger kitchens, which is located at Vasanthapura in Bangalore. It describes the complete range of activities: procurement, pre-processing, cooking, and finally packaging and dispatch, at this center. The case is rich in data and helps generate discussions around the material planning, procurement, and production planning activities at this kitchen.
INITIATIVES AND PROJECTS
The negative impact of poverty, economic and gender inequality on health and health equity are well document. However, little research investigates how social policies may provide pathways to improve population health. This research proposes to rigorously examine the population health effects of differing social policy approaches taken around the world to address poverty, economic, and gender inequity. The specific objectives of this research program are to examinehow policies aimed at reducing poverty, income and gender inequality in highand low-income countries impact major causes of morbidity and mortality in children, women under 50 and its impacts on HIV/AIDS, Tuberculosis, and other major diseases. In many areas of medical and public health research, the public and private sectors have substantial experience translating research into public health action; this was the case with immunizations. Moreover, in the case of many other public health initiatives, such as those related to physical activity, individualaction can make a large difference. In contrast, the actions that follow from the evidence that poverty and gender inequality lead to poorer health outcomes cannot be taken by individuals or practitioners alone. This research program is designed to begin to examine potential policy approaches to these substantial drivers of health. Moreover, as a clearer understanding of what works is by itself not enough to improve health and health equity, this program combines research with knowledge mobilization strategies.
*Emerging economy -examples of how the Indian context is different from a developed marketing context-in terms of demographics and lifestyles when approached from a consumer behavior viewpoint.
*Cultural orientation-India has a strong anchor with regard to cultural beliefs and practices that are important to marketing and it is important for a student to know how consumer behavior is affected by such diverse cultures in the country. (diverse examples will be given)
*Digital media and consumer behavior- the new perspective would cover some aspects of how the different dimensions of digital media will combine with consumer behavior in the Indian context.
*Women and brands-the traditional perspectives on women in India is undergoing a radical change. At the same time there are certain precautions that marketers need to take while projecting women as a part of brand proposition-how can consumer behavior and branding be useful to the communication of brands that are associated with women?
*Technology-Consumer behavior interface across chapters. A new chapter on social media.
*Category development -with brand penetration being quite low in developing economies (as compared to developed economies) how can category development and brand development be understood through consumer behavior is an area of importance.
*Historical brands : the edition would have brands that have been a part of the Indian context for decades and examples of such brands would be used across chapters . This would enhance the connect of the content with the students.
Database Structure for a Multi Stage Stochastic Optimization Based Decision Support System for Asset – Liability Management of a Life Insurance Company
We introduce a stochastic optimization based decision support system (DSS) for asset-liability management of a life insurance firm using a multi-stage, stochastic optimization model. The DSS is based on a multi-stage stochastic linear program (SLP) with recourse for strategic planning. The model can be used with little or no knowledge of management sciences. The model maximizes the expected value of total reserve (policy holders' reserve and shareholders' reserve) at the end of the time period of planning. We discuss the issues related to database design structure, DSS interface design, database updating procedure, and solution reporting.