Microfoundations of companies' dynamic capabilities for environmentally sustainable innovation: Case study insights from high‐tech innovation in science‐based companies

To achieve sustainable development, companies are increasingly putting an emphasis on the creation and the promotion of environmentally sustainable innovations. Environmentally sustainable innovation often involves a significant shift in a new strategic direction. This paper studies this shift from a dynamic capabilities perspective and aims to identify the microfoundations of science‐based companies' dynamic capabilities for high‐tech environmentally sustainable innovations. It investigates the development of high‐tech environmentally sustainable innovations in two distinctive science‐based companies. To scholars, this study provides an in‐depth process analysis, over time, of how and why microfoundations of dynamic capabilities influence the development of a science‐based company's high‐tech environmentally sustainable innovations. To practitioners in science‐based firms, this process study can function as a frame of reference, enabling the tailoring of a strategy for high‐tech environmentally sustainable innovation.     

A Fuzzy Stochastic Multi-Attribute Group Decision-Making Approach for Selection Problems

The purpose of this paper is to demonstrate how the fuzzy and stochastic approaches as well as multi-attribute group decision-making techniques can be effectively utilized for selection problems in different kinds of uncertainty situations. A group of the decision makers describes a value for an alternative with respect to an attribute by the use of linguistic variables. The rating of each alternative is aggregated, which can be expressed as triangular fuzzy numbers. Then Monte Carlo simulation is applied to generate the performance distribution of alternatives with respect to different attributes in an uncertain environment. Finally, a stochastic compromise ranking technique, known as the VIKOR technique, is developed to evaluate probability distributions for each alternative on each attribute and to prioritize them. The proposed fuzzy stochastic approach is suitable to compromise a solution among the conflicting tangible and intangible attributes under the group decision-making process. In addition, an application of the proposed approach is provided to solve the important risk selection problem in a highway project. The results illustrate its real-life applicability and suitability in discrete group decision-making under uncertainty.     

Risk,uncertainty, and heuristics

Nearly a century ago, Frank Knight famously distinguished between risk and uncertainty with respect to the nature of decisions made in a business enterprise. He associated generating economic profit with making entrepreneurial decisions in the face of fundamental uncertainties. This uncertainty is complex because it cannot be reliably hedged unless it is reducible to risk. In making sense of uncertainty, the mathematics of probability that is used for risk calculations may lose relevance. Fast-and-frugal heuristics, on the other hand, provide robust strategies that can perform well under uncertainty. The present paper describes the structure and nature of such heuristics and provides conditions under which each class of heuristics performs successfully. Dealing with uncertainty requires knowledge but not necessarily an exhaustive use of information. In many business situations, effective heuristic decision-making deliberately ignores information and hence uses fewer resources. In an uncertain world, less often proves to be more.     

A Classroom Exercise: Voting by Ballots and Feet

This classroom experiment illustrates the efficiency-enhancing property of a Tiebout system in which local public goods decisions are determined by a political process. Students are given playing cards that induce diverse preferences for expenditures on alternative public goods and are initially assigned to specific communities. Then those in each community vote on the type and level of public goods provision, which determine the tax cost. After the provision and tax results are announced, students are free to move to a location where the prior results are more consistent with their preferences. This process continues for several rounds, with a new vote taken at each location after moves have been made. The exercise demonstrates that the combination of voting with feet and ballots tends to increase the total net benefit for all communities. The voting on provision levels is structured to facilitate a discussion of the median voter theorem.     

Behind and beyond a shared definition of ecological rationality: A functional view of heuristics

Observing human behavior in laboratories reveals time and again the undeniable influence of social components, even in the isolation of carefully designed experiments. Clearly, social and cultural constructs shape human cognition. The study of ecological rationality recognizes the importance of specifying these and other characteristics of the environment as a basis of cognition. In this paper, we compare the views of Vernon Smith and Gerd Gigerenzer, the founders of two leading research programs on ecological rationality, one in economics and one in psychology. Based on their written work and on interviews conducted by one of the authors, this article brings together for the first time the essence and principles of the study of ecological rationality in these two traditions. This conjoint presentation poses important questions and clarifies methodological challenges in the understanding of actual human behavior from experimental data. Smith sees ecological and constructivist rationality as two complementing versions of economic rationality, while Gigerenzer regards the study of fast-and-frugal heuristics as the appropriate scientific method for exploring real-world rationality. Drawing a connection between forms of rationality and emergence of experimental knowledge, we note that a theory of behavior cannot be deducted from observations alone. Establishing a theoretical framework for observed behavior starts with a search for norms that are sensitive to the context and content of the situation in which a choice is made. Studying the ecological rationality of heuristics, markets, and institutions reveals such norms.