Results 231 to 240 of about 48,260 (274)

Challenges of Semiotic Abduction in Management Research

Journal of Management Studies, EarlyView.
Abstract This Counterpoint challenges Fleming and Oswick’s (2025) Point paper and their notion of loosely coupled abduction. Whereas their Point emphasizes how abductive theorizing can balance creativity and rigor through consensus‐based plausibility, we argue that this very reliance on consensus carries epistemic risks.
Igor Filatotchev, Marco Giarratana, Martina Pasquini, Konstantina Valogianni   +3 more
wiley   +1 more source

Seeing the World Through a Dark Lens: The Dark Core of Personality and Its Relation to Primal World Beliefs

Journal of Personality, EarlyView.
ABSTRACT Objective Aversive (“dark”) personality traits are traditionally studied as predictors of harmful or manipulative behavior, yet their underlying cognitive‐affective structures remain underexplored. This research investigates whether the Dark Core of personality (D)—the common aversive essence of all dark traits—is associated with primal world ...
Robin Schrödter, Benjamin E. Hilbig
wiley   +1 more source

Adaptability in Innovation Management: A Meta‐Analysis

Journal of Product Innovation Management, EarlyView.
ABSTRACT Academic Summary As firms navigate dynamic technological, market, and institutional environments, adaptability—and related notions such as flexibility and agility—have become central to innovation management. Yet, the literature is conceptually fragmented: multiple labels are applied with overlapping but inconsistent content, and few studies ...
Felix Hoch, Tobias Röth, Alexander Kock, Julia Backmann, Alex Newman   +4 more
wiley   +1 more source

Effective faking of verbal deception detection with target‐aligned adversarial attacks

Legal and Criminological Psychology, EarlyView.
Abstract Background Deception detection through analysing language is a promising avenue using both human judgements and automated machine learning judgements. For both forms of credibility assessment, automated adversarial attacks that rewrite deceptive statements to appear truthful pose a serious threat.
Bennett Kleinberg, Riccardo Loconte, Bruno Verschuere   +2 more
wiley   +1 more source

Ideology, Red in Tooth and Claw: Realist Ideology Critique and Animals

Journal of Social Philosophy, EarlyView.
Pablo Magaña
wiley   +1 more source

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Meta-heuristic optimization reloaded

2011 Third World Congress on Nature and Biologically Inspired Computing, 2011
We consider the meta-heuristic approach to optimization as to be performed in four stages (model, optimality, algorithm, verification), and point out the potential of varying the optimality stage, in contrary to the design of new algorithms. Thus, we can also apply the meta-heuristic approach to optimization to the task of fair distribution of ...
Mario Koppen, Kaori Yoshida, Kei Ohnishi
openaire   +1 more source

Parameter tuning for meta-heuristics

Knowledge-Based Systems, 2020
Abstract These days meta-heuristic algorithms are gaining lot of popularity. The performance of the meta-heuristics depends upon the suitable selection of user dependent parameters. Finding the most suitable values for the parameters (fine tuning) is a challenging problem.
Susheel Kumar Joshi, Jagdish Chand Bansal   +1 more
openaire   +1 more source

Dynamic Problems and Nature Inspired Meta-Heuristics

2006 Second IEEE International Conference on e-Science and Grid Computing (e-Science'06), 2006
Biological systems are, by their very nature, adaptive. However, the meta-heuristic search algorithms inspired by them have mainly been applied to static problems (i.e., problems that do not change while they are being solved). Recently, a greater body of work has been completed on the newer meta-heuristics, particularly ant colony optimisation ...
Hendtlass, Tim, Moser, I., Randall, Marcus   +2 more
openaire   +2 more sources

Meta-heuristic bus transportation algorithm

Iran Journal of Computer Science, 2018
Over recent decades, several experience-based mathematical models have been proposed. In addition to collective intelligence, in recent years some efforts have been made to apply human experience-based intelligence to open up a new world of possibilities to design new meta-heuristic algorithms for solving NP problems.
Mohammad Bodaghi, Koosha Samieefar
openaire   +1 more source

Meta Heuristic Algorithm

Metaheuristic algorithms represent a key area of optimization research that generates interest for many academicians and researchers in today's technology landscape. Researchers have been using these methods as a problem-solving approach for many decades when applied to combinatorial optimization problems, which has now grown into a significant ...
Arshiya Begum, Asfia Sabahath
openaire   +1 more source