Licensing Tacit Knowledge: Intellectual Property Rights And The Market For Know-How

Technology transfer involves more than just the permission to use knowledge covered by patents; the transfer of know-how is critical to the successful utilization of the transferred technology. However, know-how is typically difficult to codify, costly to transfer, and hence, difficult to contract upon. Using a principal-agent model I show that simple arms length contracts can accomplish the transfer know-how. The key to the success of arms length contracts is the complementarity between know-how and patents. The model explains why patents and know-how are bundled together in licensing contracts. It shows why licensing has limitations as a strategy for appropriating rents from innovation. The paper points to the key role that patent scope plays in determining the efficiency of know-how transfer and shows that broader patents can improve the efficiency of technology transfer, even when important components of the technology (know-how) are not protected by patents.     

The impact of household level heterogeneity in reference price effects on optimal retailer pricing policies

The field of marketing has witnessed substantial improvement in modeling household level heterogeneity. However, relatively little has been written about how modeling household heterogeneity translates into better marketing decisions. In this paper, we study the impact of household level heterogeneity in reference price effects on a retailer's pricing policy. Reference prices are certain anchors or standards that households use to compare the observed purchase price of a product against. If the observed price is greater than the reference price it is perceived as a “loss” and if it is smaller than the reference price it is perceived as a “gain”. In order to study the impact of heterogeneity in reference price effects on retail pricing, we test a nested logit model under two alternative reference price (memory and stimulus based) and heterogeneity (finite mixture and hierarchical Bayes) specifications. In the empirical analysis, we find that households are quite heterogeneous in terms of their gain and loss effects. For some households a gain has higher impact than a corresponding loss, while the opposite is true for others. Using individual level estimates we then develop a normative pricing policy for a retailer maximizing category profit. Our results indicate that the optimal pricing policy derived from the heterogeneous case is qualitatively different, and more profitable, than the case when heterogeneity is ignored. We show that for an important marketing problem pertaining to a retailer, the optimal pricing decisions for various brands in a category are inextricably related to household heterogeneity in reference effects and brand preference.     

A comparative analysis of differential consumer response across supermarket and specialty store in the candy category

Retailing industry has undergone tremendous change in its complexity and sophistication over the past few years. Globally we are witnessing the evolution of retailing industry from traditionally micro-managed small retail formats like mom and pop store to modern corporate-managed large retail formats like supermarkets. Consumers are also shopping across these various store formats even for the products in similar categories. In this research, we posit that consumer purchases in the similar categories may very well be characterized by differential responses to marketing mix across different store formats. The proposed model accounts for the influences that these diverse response parameters and preferences have on one another as well as consumer heterogeneity. Our results show that sensitivities to marketing mix as well as correlations in preferences do indeed vary across formats for consumer purchases in similar categories.     

Small asymmetric fractional factorial plans for main effects and specified two-factor interactions

Fractional factorial plans represented by orthogonal arrays of strength two are known to be optimal in a very strong sense under a model that includes the mean and all the main effects, when all interactions are assumed to be absent. When a fractional factorial plan given by an orthogonal array of strength two is not saturated, one might think of entertaining some two-factor interactions also in the model. In such a situation, it is of interest to examine which of the two-factor interactions can be estimated via a plan represented by an orthogonal array, as also to study the overall efficiency of the plan when some interactions are in the model alongwith the mean and all main effects. In this paper, an attempt has been made to examine these issues by considering some practically useful plans for asymmetric (mixed level) factorials with small number of runs.     

On the entropy and inaccuracy of similarly and oppositely ordered discrete probability distributions (I)

This note deals with the entropy and inaccuracy of similarly and oppositely ordered discrete probability distributions. The concept of inaccuracy range has also been introduced. In particular, the inacuracy of -Power distributions with respect to another distribution has been discussed in detail. It is shown that these inaccuracies are monotonically increasing function of \ for oppositely ordered distributions and decreasing function of for similarly ordered distributions.     

Modeling the relationship between firm and user generated content and the stages of the marketing funnel

While research has successfully linked social media to separate customer metrics, an in-depth conceptual and empirical understanding of how social media affects the stages of the marketing funnel is currently lacking. We draw on extant theories of consumer information processing and source credibility to conceptually link and contrast the relationships between firm generated content (FGC) dimensions of neutral valence, positive valence and vividness, user generated content (UGC) dimensions of volume and valence and the marketing funnel stages of awareness, consideration, purchase intent and satisfaction. Using daily aggregate brand-level data for 19 brands across seven industries, our analysis shows that UGC dimensions have a stronger relationship with awareness and satisfaction while FGC dimensions are more effective for consideration and purchase intent. Specifically, we observe that FGC vividness has the strongest relationship with consideration and purchase intent, while UGC valence dominates UGC volume for these stages. Our results also show that brands with higher corporate reputation have stronger relationships between dimensions of FGC and the marketing funnel stages. Findings by consumption category show that UGC and FGC dimensions have larger positive relationships with awareness for durables and non-durables, and with consideration, purchase intent, and satisfaction for services. Thus, overall, our study offers critical managerial insights into social media marketing regarding how to leverage both FGC and UGC in managing the marketing funnel and brand reputation.     

Herding by Foreign Institutional Investors: An Evidential Exploration for Persistence and Predictability

The primary objective of the study is to explore the predictability of herding patterns of foreign institutional investors in the Indian market using high frequency data over a period from January 2003 to June 2014. Herding of an individual stock was measured estimating a simple volume based ratio and persistence of trends was detected using the runs test (Wald and Wolfowitz [1940 Wald, A., and J. Wolfowitz. “On a Test Whether Two Samples are from the Same Population.” The Annals of Mathematical Statistics, 11, (1940), pp. 147–162.[Crossref] , [Google Scholar]]) on that ratio. Predictability of herding behavior has been successfully modeled by applying 7 data mining models using various measures of performance. Market regulators may consider our findings to regulate the foreign institutional investors trading to make the financial system more transparent and robust.