Results 121 to 130 of about 4,163,698 (180)
Business Strategy and the Environment, EarlyView.ABSTRACT Prior research has mostly relied on linear and parametric models while explaining environmental non‐compliance, but they have a limited capacity to capture non‐linear and asymmetric effects of elements affecting firms' environmental compliance.
Ashutosh Singh +4 more
wiley +1 more source
Why Some Firms Perceive Climate Risks and Others Do Not—Evidence From the Logistics Sector
Business Strategy and the Environment, EarlyView.ABSTRACT This study explores how companies perceive risks stemming from climate change as a gradual process, focusing on the logistics sector. It advances research on organizational climate risk perception by integrating perspectives on embeddedness and resource configurations. Based on 41 semi‐structured interviews with representatives of 22 logistics
Felix Bücken, Martin Franz
wiley +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT This study systematically reviews impact risk in impact investing to identify its dimensions, drivers, governance responses, and interrelationships. Drawing on a qualitative thematic analysis of 56 articles published between 2011 and 2025, the review integrates previously fragmented research on impact‐related risks.
Syrus M. Islam, Claire Cui
wiley +1 more source
The Dark Side of Leadership: CEO Narcissism and the Quality of Climate‐Related Financial Disclosures
Business Strategy and the Environment, EarlyView.ABSTRACT This paper investigates the impact of narcissistic Chief Executive Officers (CEOs) on the quality of corporate climate‐related financial disclosure as required by the Task Force on Climate‐related Financial Disclosures (TCFD) framework. Using a sample of S&P 1500 firms, the analysis tests the association between principal component‐based two ...
Dauda Bola Abdulsalam +2 more
wiley +1 more source
Journal of Consumer Behaviour, EarlyView.ABSTRACT The purpose of this study is to explore the different phases of social media influencers in firm‐based marketing campaigns using a content analysis. The authors categorized the existing studies into twenty (20) major themes of social media influencers in consumer engagement by considering the analytical framework of Maciel and Fischer ...
Prakash Singh +2 more
wiley +1 more source
Journal of Consumer Behaviour, EarlyView.ABSTRACT This study investigates how artificial intelligence (AI) chatbot message tone, fashion product recommendation type, and personalization level interact to shape consumers' continuance intention in online fashion shopping. Building on Construal Level Theory and the Stereotype Content Model, we treat warmth and competence cues as psychological ...
Jung Mee Kim, Seeun Kim
wiley +1 more source
Journal of Consumer Behaviour, EarlyView.ABSTRACT Online fan communities are important peripheral arenas for sports consumption. However, the psychological and social mechanisms that sustain engagement across these digital spaces are not sufficiently understood. This study thus investigates how Orientation Toward Sporting Events (OSE) drives fan page engagement and, subsequently, satisfaction.
Hamid Shaker +3 more
wiley +1 more source
Hidden Markov graphical models with state‐dependent generalized hyperbolic distributions
Canadian Journal of Statistics, EarlyView.Abstract In this article, we develop a novel hidden Markov graphical model to investigate time‐varying interconnectedness between different financial markets. To identify conditional correlation structures under varying market conditions and accommodate shape features embedded in financial time series, we rely upon the generalized hyperbolic family of ...
Beatrice Foroni +2 more
wiley +1 more source
Asymptotic properties of cross‐classified sampling designs
Canadian Journal of Statistics, EarlyView.Abstract We investigate the family of cross‐classified sampling designs across an arbitrary number of dimensions. We introduce a variance decomposition that enables the derivation of general asymptotic properties for these designs and the development of straightforward and asymptotically unbiased variance estimators.
Jean Rubin, Guillaume Chauvet
wiley +1 more source
A partial envelope approach for modelling multivariate spatial‐temporal data
Canadian Journal of Statistics, EarlyView.Abstract In the new era of big data, modelling multivariate spatial‐temporal data is a challenging task due to both the high dimensionality of the features and complex associations among the responses across different locations and time points.
Reisa Widjaja +3 more
wiley +1 more source