Exploratory Capacity and the Adaptive Organization
نویسندگان
چکیده
The concept of Exploratory Capacity (EC)—the amount of slack resources an organization has (in the form of people, time and/or money), that can be devoted to simultaneous technical and market discovery—is introduced to describe how innovators can proceed under conditions of great uncertainty, specifically when technologies and markets are co-evolving. Drawing on a sample of 31 companies whose business models were tied to the Internet, the authors discuss how startup companies deal with uncertainty through experimentation in the market and morphing of the business model. Tradeoffs among people, time and money are often necessary to create EC, although the three are not fully interchangeable. It is posited that an optimal amount of EC is ideal for successful innovation, as there are risks inherent in both a scarcity and an excess.
منابع مشابه
Relevance vector machine and multivariate adaptive regression spline for modelling ultimate capacity of pile foundation
This study examines the capability of the Relevance Vector Machine (RVM) and Multivariate Adaptive Regression Spline (MARS) for prediction of ultimate capacity of driven piles and drilled shafts. RVM is a sparse method for training generalized linear models, while MARS technique is basically an adaptive piece-wise regression approach. In this paper, pile capacity prediction models are developed...
متن کاملتحلیل فضایی ظرفیت سازگاری سکونتگاه های روستایی شهرستان روانسر در مواجهه با خشکسالی
The latest report of the Intergovernmental Panel of Climate Change (IPCC) on climate and global warming Indicates that climate change and global warming in particular is one of the most important challenges of the world and drought, as a consequence of climate change around the world, has always influenced the many countries, including Iran. However, it seems that the climate changes, particula...
متن کاملPrediction of soil cation exchange capacity using support vector regression optimized by genetic algorithm and adaptive network-based fuzzy inference system
Soil cation exchange capacity (CEC) is a parameter that represents soil fertility. Being difficult to measure, pedotransfer functions (PTFs) can be routinely applied for prediction of CEC by soil physicochemical properties that can be easily measured. This study developed the support vector regression (SVR) combined with genetic algorithm (GA) together with the adaptive network-based fuzzy infe...
متن کاملLeveraging Social Capital and Absorptive Capacity for Knowledge Integration: a Case Study of a Cross-Organization IT Project
Based on an in-depth case study, this article studies a collaborative IT project (one IT service vendor and three clients) involving intensive knowledge integration activity. It explains how social capital (e.g. relational, cognitive, structural), absorptive capacity (e.g. exploratory, exploitative, transformative) interact with each other with the support of organizational culture (e.g. collec...
متن کاملAdaptive Subcarrier Assignment and Power Distribution in Multiuser OFDM Systems with Proportional Data Rate Requirement
A low complexity dynamic subcarrier and power allocation methodology for downlink communication in an OFDM-based multiuser environment is developed. The problem of maximizing overall capacity with constraints on total power consumption, bit error rate and data rate proportionality among users requiring different QOS specifications is formulated. Assuming perfect knowledge of the instantaneo...
متن کامل