The concept of coopetition - simultaneous collaboration and competition between organizations to achieve mutually beneficial outcomes - plays a pivotal role in shaping business performance, particularly during periods of rapid technological advancements. This is especially evident the manufacturing sector, where innovation and competitive dynamics intersect with economic and social forces. The current academic discourse predominantly focuses on the qualitative identification and analysis of coopetition attributes, leaving a significant gap for large-scale quantitative studies to enable empirical assessment. This study aims to examine the significance of three groups of coopetition attributes for coopetition performance classified into two strategic (dynamics, paradoxicality), six relational (asymmetry, complexity, coopetition intensity, mutual dependence, strength, tensions), and five behavioral attributes (competition intensity, conflict, formality, investments, trust). Using data from 1216 manufacturing firms in Poland and employing a generalized Covariance based Structural Equation Model (CB-SEM), this study offers nuanced insights to the global discourse at the intersection of technological change and social dynamics. The results indicate that the strategic attribute paradoxicality, the relational attribute strength, and most of the behavioral attributes (trust, competition intensity, investments, formality) positively impact coopetition performance. Additionally, a significant negative impact of the strategic attribute dynamics was demonstrated, while no significant influence was identified for the remaining relational attributes (asymmetry, tensions) as well as the behavioral attribute conflict. Diverging from prior qualitative approaches, this study offers data-driven insights for decision-makers navigating societal and technological change, highlighting which attributes should be stimulated to enhance coopetition performance while minimizing the level of dynamics within coopetition strategies.

Artificial intelligence (AI) is increasingly being recognized as a critical tool when it comes to addressing the most pressing challenges facing modern industries, including the pursuit of sustainability. The use of AI is aiding businesses in navigating corporate sustainability challenges, but existing research lacks a comprehensive exploration of how corporations leverage AI to boost their sustainability. By exploiting an inductive concept-development approach and incorporating data from 24 companies, this study provides valuable insights into the role that AI plays in shaping organizational sustainability strategies, identifying operational enablement and technical capacity as key drivers of AI adoption for corporate sustainability. These drivers are incorporated into the technology, organization, and environment (TOE) framework alongside the strategic steps and capabilities necessary for organizations to effectively adopt and implement AI in the development of their sustainability strategies. Ultimately, this study proposes an integrative model for sustainability-oriented AI adoption that emphasizes the importance of aligning AI initiatives with organizations’ sustainability objectives in order to maintain a competitive advantage and drive progress. Correspondingly, it underscores the need for robust data management, system integration, and continual performance monitoring to reduce resistance to AI adoption allowing for the potential of AI to be fully harnessed in pursuit of sustainability. Furthermore, this study offers practical guidance by exploring the direct and indirect use cases of AI in corporate sustainability. The study concludes by highlighting potential avenues for future research in this evolving field.

Purpose This study explores the negotiation behaviors and strategies employed by experienced entrepreneurs to secure venture capital (VC) funding. Design/methodology/approach Using a qualitative approach, we conducted interviews with 32 accomplished founders with track records in securing VC funding. Our conceptual underpinning rests upon an existing negotiation competency model. This study employed a systematic and iterative data analysis method, following an inductive approach grounded in Gioia et al.’s (2013) methodology to conceptualize the unprocessed interview data. Findings We identified three dimensions characterizing entrepreneurial negotiation behavior in VC negotiations: negotiation competencies, power tactics, and negotiation style. Furthermore, we identified specific behaviors in these dimensions and explored how entrepreneurs apply these skills in the VC context. Research limitations/implications This study contributes a nuanced understanding of entrepreneurs’ negotiation behaviors, opening avenues for further research on effective strategies in entrepreneurial finance. Practical implications Entrepreneurs can leverage the identified negotiation strategies to enhance their skills and navigate VC negotiations more effectively, potentially leading to better funding outcomes. Furthermore, training programs can be crafted to encourage the cultivation of these behaviors. Originality/value This study is the first to systematically examine the negotiation behaviors and strategies employed by experienced entrepreneurs in VC negotiations, revealing entrepreneurs’ specific behaviors and elucidating how these behaviors are employed within negotiations to provide practical insights.

This study identifies six dynamic capabilities (DCs), which enable corporates' strategic change toward resilience in today's increasingly volatile, uncertain, complex, and ambiguous (VUCA) business environment. In this context, pertinent research has proven DCs' conduciveness for corporates to enhance their levels of resilience. Yet, there remain dispersed definitions of such DCs across research fields and a comprehensive synthesis has been missing. The present study addresses this gap through a systematic literature review of 71 articles published in peer-reviewed journals. It synthesizes six fundamental DCs and their underlying microfoundations fostering resilience, which are mediated by the corporates' idiosyncratic social capital. Our findings thus contribute to the extant literature by providing a synthesis of relevant DCs into an integrated theoretical framework, answering multiple calls in previous research for a better understanding of the corporate resilience-building process. By doing so, this study paves the way for future research to investigate the effects of DCs on the sustained competitive advantage of corporates in VUCA environments.

This research explores the characteristics of green influencer messages on follower engagement by examining the interplay between message framing (gain vs. loss), construal level (high vs. low), and post timing (weekdays vs. weekends). Green influencers (also: greenfluencers or sustainable influencers) are considered a key agent for a change to more sustainable consumption. A pilot field study of 1000 green influencers, however, indicates that the current communication practices of green influencers (which strongly focus on gain frames, low construal, and posts during the week) are not ideal for maximizing engagement and sustainable behavioral intentions. Two experiments replicate this finding and establish the process through which green influencer posts affect engagement: gain frames increase fluency, which increases engagement; low construal levels decrease psychological distance, which increases engagement. Timing moderates these processes in that weekend posts increase the engagement with gain frames and week posts increase the engagement with low-construal frames. These findings highlight that there is no silver bullet in green influencer messages, but that green influencers need to adapt the framing and construal of their messages to the posts' timing to increase their contribution to more sustainable lifestyles and the greater good.