Search results

SESSION I: TECHNOLOGY TRANSFER

Both entrepreneurship education and commercialization of university research have witnessed remarkable growth in the past two decades. These activities may be complementary in many respects, as when participation in an entrepreneurship program prepares a student to start a company based on university technology, or when technology transfer personnel provide resources and expertise for an entrepreneurship course. At the same time, however, the activities are distinct along a number of dimensions, including goals and mission, influence of market conditions, time horizon, assessment, and providers and constituency. We argue that this situation presents an organizational dilemma: How should entrepreneurship and technology transfer groups within a university maintain independence in recognition of their differences while still facilitating synergies resulting from overlapping areas of concern? In response to this dilemma, we draw on the organizational modularity perspective, which offers the normative prescription that such situations warrant autonomy for individual units, but also require a high degree of cross-unit awareness in order to capture synergies. To illustrate this perspective in an intra-university population of entrepreneurship and technology transfer groups, we present network images and statistics of inter-group relationships at Stanford University, which is widely recognized for its success in both activities. The results highlight that dependence between groups is minimal, such that groups retain autonomy in decision-making and are not dependent on others to complete their goals. Simultaneously, cross-unit awareness is high, such that groups have frequent formal and informal interactions and communication. This awareness facilitates mutually beneficial interactions between groups. As a demonstration of the actual functioning of this system, we present three thumbnail case studies that highlight positive relationships between entrepreneurship education and technology transfer. Ultimately, we argue that to fully realize the synergies between entrepreneurship education and technology transfer, we must also recognize differences between them and ensure the autonomy that such differences warrant.

Purpose: The present study aims to test the Quadratic Programming model for Optimal Portfolio selection empirically.

Need for the Study: All the investors who buy financial products are motivated to obtain higher profits or, in other words, to maximise their returns. However, the high returns are often accompanied by higher risks, and avoiding such risks has become the primary concern for all investors. There is a great need for such a model to maximise profits and minimise risk, which can help design an investment portfolio with minimum risk and maximum return. The Quadratic Programming model is one such model which can be applied for selected shares to build an optimised portfolio.

Methodology: This study optimises the stock samples using a two-level screening of correlation coefficient and coefficient of variation. The monthly closing prices of the NSE-listed Indian pharmaceutical stocks from December 2019 to January 2022 have been used as sample data. The Lagrange Multiplier method is used to apply the model to achieve the optimal portfolio solution. Based on the market reality, the transaction costs have also been considered. The Quadratic programming model is further optimised to achieve the optimal portfolio for the select stocks.

Findings: The traditional portfolio theory and the modified quadratic model gives similar and consistent results. In other words, the modified quadratic model asserts the accuracy of the conventional portfolio model. The portfolio constructed in the present study gives a return much higher than the return of the benchmark portfolio of Nifty Fifty, indicating the usefulness of applying the Quadratic Programming model.

Practical Implications: The construction of an optimal portfolio using the traditional or modified Quadratic model can help investors make rational investment decisions for better returns with lower risks.

Public health policy often excludes access to essential medicines. Drawing on an in-depth case study examining access to essential medicines in the context of the HIV/AIDS pandemic in South Africa, and more briefly, making reference to the U.S. diabetes epidemic, we highlight the relationship between the need for essential medicines in world populations, and the role of groups external to government in promoting access to essential medicines in public health policy. We consider how, in the context of health stratification, the activities of patient advocacy groups, and “third way” social policies of the pharmaceutical industry generate “social capital,” creating enhanced access to essential medicines for a few, and promoting the ideal of the right to access for all. The implications for the development of public health policy inclusive of essential medicines are discussed.

The study was conducted to investigate the association between nonsexual predictors (personal, interpersonal, and dyad variables) and sexual satisfaction in the long-term marriages. The theoretical model was created according to the socio-ecological model proposed by Huston (2000), including 12 personal, 8 interpersonal, and 3 dyad variables as predictors. The model treated personal and interpersonal variables as level 1 variables, while dyad variables were defined as level 2. The research was performed in 14 counties of Croatia and in Zagreb, the capital of Croatia. The sample included 315 marital couples. Marital partners were interviewed individually and separately, at their home. The analysis was performed using the MLM statistical procedure. Four models were tested: (1) personal, (2) interpersonal without gender variable as predictor, (3) interpersonal with gender variable, and (4) final model made up of all groups of predictors together. In Model 1, Self-esteem and Physical attraction turned out to be predictive of sexual satisfaction. In Model 2, Emotional and Recreational intimacy were positive, while Marriage duration proved to be negative predictor. Model 3 generated same predictive variables as Model 2 plus the variable Gender. Model 4 yielded Gender, Physical Attraction, Emotional Intimacy, Participation in key decision-making, and Marital Quality as positive predictors, while Anxiety and Depression proved to be negative predictors. Obtained results are showing that in long-term marriages not only sexual variables are good predictors of marital sexual satisfaction but some nonsexual variables such as emotional intimacy, recreational intimacy, physical attractiveness, participation in key decision-making, and marital quality are also important. The results are discussed and study limitations are emphasized at the end.

This chapter aims to review evidence of the relationships between dog ownership, dog walking and overall walking and the factors associated with dog walking. It reviews the evidence using a social ecological framework. The chapter finds that dog ownership and dog walking are associated with higher levels of walking. A number of social ecological factors are associated with dog walking. Motivation and social support provided by the dog to walk and a sense of responsibility to walk the dog are associated with higher levels of dog walking. Positive social pressure from family, friends, dog owners and veterinarians is also associated with higher levels of dog walking. Built and policy environmental characteristics influence dog walking, including dog-specific factors such as access to local attractive public open space with dog-supportive features (off-leash, dog waste bags, trash cans, signage), pet-friendly destinations (cafes, transit, workplaces, accommodation) and local laws that support dog walking. Large-scale intervention studies are required to determine the effect of increased dog walking on overall walking levels. Experimental study designs, such as natural and quasi-experiments, are needed to provide stronger evidence for causal associations between the built and policy environments and dog walking. Given the potential of dog walking to increase population-levels of walking, urban, park and recreational planners need to design neighbourhood environments that are supportive of dog walking and other physical activity. Advocacy for dog walking policy-relevant initiatives are needed to support dog walking friendly environments. Health promotion practitioners should make dog walking a key strategy in social marketing campaigns.

Feminist leadership and administrative praxis include areas overlooked or devalued by traditional leadership. In this chapter, the authors explore how academic administrators in the United States who self-identify as “feminist” integrate their feminist values into daily praxis, decisions, and implementation – or revision – of institutional policies. The goals of this study are to identify how feminist values inform praxis and how feminist administrators’ praxis produce successful changes. Through in-depth, semi-structured, qualitative interviews with feminist administrators in higher education, the authors find commonalities in feminist values, in how those values shape administrators’ interactions, and how they inform initiatives and policies on which administrators have worked. Feminist administrators rely on values such as transparency, collaboration, inclusivity, empowering others, and being mindful of power and personal biases. These values informed their interactions with faculty, staff, and students as well as formal policies and initiatives, which were infused with feminist principles in their efforts to make academe more just.