Results 211 to 220 of about 342,848 (290)

Integrating multimodal data and machine learning for entrepreneurship research

open access: yesStrategic Entrepreneurship Journal, EarlyView.
Abstract Research Summary Extant research in neuroscience suggests that human perception is multimodal in nature—we model the world integrating diverse data sources such as sound, images, taste, and smell. Working in a dynamic environment, entrepreneurs are expected to draw on multimodal inputs in their decision making.
Yash Raj Shrestha, Vivianna Fang He
wiley   +1 more source

Shaping expectations, losing flexibility: A study of CEO promises as strategic communication tools

open access: yesStrategic Management Journal, EarlyView.
Abstract Research Summary CEO promises are powerful but understudied communication tools. We develop a dual‐mechanism framework theorizing that while CEO promises elevate stakeholder expectations, they simultaneously constrain strategic flexibility. We argue that CEO promise‐making is shaped by two competing pressures: making more promises when the ...
Majid Majzoubi   +2 more
wiley   +1 more source

Mapping the landscape of research findings: Generalization across contexts in strategic management research

open access: yesStrategic Management Journal, EarlyView.
Abstract Research Summary Knowledge accumulation requires that we understand whether and when relationships identified in any research setting generalize to others—that is, suggesting domains where results hold (or not). Strategy scholars carefully identify how theoretical mechanisms operate in their chosen research contexts, but attend less to whether
Daniel A. Levinthal, Lori Rosenkopf
wiley   +1 more source

Fragment‐Block: A Novel Approach for Managing Variability in Software Product Lines

open access: yesSoftware: Practice and Experience, EarlyView.
ABSTRACT Objective Changes in the functionality of a software product line (SPL) can generate various issues in the SPL source code. Their complexity depends primarily on the amount of changes in the SPL source code and the internal mechanisms for managing variability. Further, modern development frameworks rely on a variety of artefacts besides source
Junior Cupe Casquina, Leonardo Montecchi
wiley   +1 more source

Finding Minimum‐Cost Explanations for Predictions Made by Tree Ensembles

open access: yesSoftware: Practice and Experience, EarlyView.
ABSTRACT The ability to reliably explain why a machine learning model arrives at a particular prediction is crucial when used as decision support by human operators of critical systems. The provided explanations must be provably correct, and preferably without redundant information, called minimal explanations.
John Törnblom   +2 more
wiley   +1 more source

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