The 20 years following the introduction of the seminal construct of absorptive capacity (AC) by Cohen and Levinthal (Cohen, W. M., D. A. Levinthal. 1989. Innovation and learning: The two faces of R&D. Econom. J. 99(397) 569–596; Cohen, W. M., D. A. Levinthal. 1990. Absorptive capacity: A new perspective on learning and innovation. Admin. Sci. Quart. 35(1) 128–152) have seen the proliferation of a vast literature citing the AC construct in over 10,000 published papers, chapters, and books, and interpreting it or applying it in many areas of organization science research, including organization theory, strategic management, and economics. However, with very few exceptions, the specific organizational routines and processes that constitute AC capabilities remain a black box. In this paper, we propose a routine-based model of AC as a first step toward the operationalization of the AC construct. Our intent is to direct attention to the importance of balancing internal knowledge creating processes with the identification, acquisition, and assimilation of new knowledge originating in the external environment. We decompose the construct of AC into two components, internal and external AC capabilities, and identify the configuration of metaroutines underlying these two components. These higher-level routines are expressed within organizations by configurations of empirically observable practiced routines that are idiosyncratic and firm specific. Therefore, we conceptualize metaroutines as the foundations of practiced routines. The ability of organizations to discover and implement complementarities between AC routines may explain why some firms are successful early adopters and most firms are imitators. Success as an early adopter of a new management practice or an innovation is expected to depend on the extent to which an organization evolves, adapts, and implements the configuration of its internal and external absorptive capacity routines.
This paper empirically studies the determinants of firms' decision to offshore product development activities (i.e. R&D, product design and engineering services). A logit model is estimated using survey data from the Offshoring Research Network on offshore implementations initiated by US firms between 1990 and 2006. It relates the probability of offshoring product development to differences in companies' strategic objectives (managerial intentionality), past experience (path dependence), and in environmental factors. The results show that offshoring of product development is partially explained by the emerging shortage of high skilled technical talent in the US, which drives the need to access talent globally. The data also suggest that firms use offshore cost savings opportunities to improve the efficiency of the innovation process, although not through labor arbitrages. Finally, increasing speed to market is another major reason underlying product development offshoring decisions.
Social Hymenoptera show two contrasting strategies of colony reproduction. A reproductive female can raise the first generation of brood alone (independent foundation), or a colony can divide into autonomous parts in which the reproductive female is helped by sterile relatives (fission, budding, swarming). In independent-founding ants, queens can histolize their flight muscles after dispersal; in many species, large flight muscles and metabolic reserves reduce or eliminate the need for risky foraging trips during the vulnerable solitary stage. Colony division is a derived strategy, and we review the selective pressures leading to its occurrence in the different social taxa. In various ants, fission coexists with independent foundation, and alate queens are retained. However, in ants exhibiting obligate fission (e.g. all army ants and many Ponerinae), queens are permanently wingless (ergatoid), or the queen caste is missing altogether. When reproductive females are flightless, dispersal distances and colonization ability are reduced, and there are extensive modifications in mating behavior and resource allocation. We focus on the characteristics of fission in the phylogenetically primitive ants Ponerinae in which both ergatoid queens and gamergates occur. The ground-living habits of ants have permitted extensive changes in the phenotypes of their reproductive females, unlike in wasps and bees.
One of the key features of insect societies is the division of labor in reproduction between one or a few fertile individuals and many sterile nestmates that function as helpers. The behavioral and physiological mechanisms regulating reproduction in ant societies are still not very well understood, especially in species in which all colony members are reproductively totipotent. In the ponerine ant Harpegnathos saltator, queen-worker dimorphism is very limited, and a few mated workers reproduce (''gamergates'') once the founding queen becomes senescent. Worker oviposition is regulated by highly directed aggressive interactions among nestmates, who can recognize different levels of ovarian activity. We show that variations in cuticular hydrocarbons (CHC) correlate with oogenesis, both for queens and workers. 13,23-Dimethylheptatriacontane is present in egg-layers, but not in infertile workers and queens. Proportions of other CHCs vary as well, resulting in clear separation of the ants in a multivariate analysis. Egg-layers are characterized by an elongation of the chain length of CHCs. We used solid-phase microextraction to measure CHCs in live ants that were experimentally induced to start producing eggs. Over a period of 118 days, CHC profiles of infertile workers changed completely to that of reproductives. The effect of age can be excluded in this modification. This striking correlation of ovarian activity with CHC variation and its correspondence with the observed recognition behavior exhibited by the workers toward egg-laying nestmates suggests that CHCs serve as a fertility signal in the ant H. saltator, a reliable basis for regulating reproduction.A striking phenomenon in biology is the evolution of animal societies in which only a minority of individuals transfer their genes to future generations whereas all others give up personal reproduction and help rearing the offspring of relatives. Hamilton's kin selection theory explains why abstaining from reproduction can be evolutionarily stable. As long as the helpers contribute sufficiently to the reproductive success of relatives, they compensate for the loss of their own direct fitness (1). In ant societies, the queens usually produce all of the colony's offspring whereas the workers raise the brood to adulthood. Workers are morphologically divergent and lack a functional sperm reservoir in most species. They have retained functional ovaries and can lay unfertilized eggs that develop into males, but they usually only do this once their queen has died (reviewed in refs. 2 and 3). This worker infertility can result from either self-restraint or mutual control (4), because male production by workers in queenright colonies often has a negative effect on colony productivity.In situations in which the reproductive interests of queens and workers converge, worker oviposition can be regulated with a simple exchange of information. Many investigations have shown that queens affect the fertility of workers by pheromones (reviews in, e.g., refs. 5 and 6). Indeed, dire...
The spectacular success of eusocial insects can be attributed to their sophisticated cooperation, yet cooperation is conspicuously absent during colony foundation when queens are alone. Selection against this solitary stage has led to a dramatically different strategy in thousands of eusocial insect species in which colonies are started by groups of nestmates and the benefits of sociality are retained continuously. Dependent colony foundation (DCF) evolved recurrently multiple times across the ants, bees, and wasps, though its prevalence in termites remains unclear. We review adaptations at both the colony level (reproductive investment shifts from sexuals to workers) and the individual level (wingless queens evolve in ants), and other consequences for life history (invasiveness, parasite transmission). Although few studies have focused on DCF, the accumulated data from anecdotal reports, supported by indirect information including morphology, population genetics, and colony demographics, make it clear that this strategy is more diverse and widespread than is usually recognized.
Voice Processing Systems (VPSes), now widely deployed, have been made significantly more accurate through the application of recent advances in machine learning. However, adversarial machine learning has similarly advanced and has been used to demonstrate that VPSes are vulnerable to the injection of hidden commands -audio obscured by noise that is correctly recognized by a VPS but not by human beings. Such attacks, though, are often highly dependent on white-box knowledge of a specific machine learning model and limited to specific microphones and speakers, making their use across different acoustic hardware platforms (and thus their practicality) limited. In this paper, we break these dependencies and make hidden command attacks more practical through model-agnostic (blackbox) attacks, which exploit knowledge of the signal processing algorithms commonly used by VPSes to generate the data fed into machine learning systems. Specifically, we exploit the fact that multiple source audio samples have similar feature vectors when transformed by acoustic feature extraction algorithms (e.g., FFTs). We develop four classes of perturbations that create unintelligible audio and test them against 12 machine learning models, including 7 proprietary models (e.g., Google Speech API, Bing Speech API, IBM Speech API, Azure Speaker API, etc), and demonstrate successful attacks against all targets. Moreover, we successfully use our maliciously generated audio samples in multiple hardware configurations, demonstrating effectiveness across both models and real systems. In so doing, we demonstrate that domain-specific knowledge of audio signal processing represents a practical means of generating successful hidden voice command attacks.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.