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Value co-creation (VCC) represents actors’ joint, communal or shared value-creating processes. However, while existing research has advanced important VCC-based insight, the use of differing metatheoretical lenses to study VCC incurs a risk of theoretical fragmentation, thus potentially hampering this research stream’s continued development. We, therefore, undertake an in-depth review of the corpus of VCC research that focuses on its common conceptual underpinnings as anchored in differing perspectives.

To explore this objective, we undertake an extensive review of extant VCC literature, based on which we develop an integrative conceptual framework of VCC.

We propose an integrative, metatheory-unifying definition and framework of VCC that reflect its core hallmarks and dynamics across its adopted theoretical perspectives. Based on the framework, we also derive a set of fundamental propositions (FPs) that synthesize VCC’s core tenets.

VCC conceptualizations grounded in differing metatheoretical perspectives reveal the concept’s core interactive, value-creating nature across metatheoretical perspectives. Though VCC emanates from interactivity between any actor constellation, unifying different metatheories of VCC uncovers important insight.

The study suggests that for effective value co-creation, managers need to establish agreed-upon institutional arrangements, facilitate positive actor relationships and experiences and address challenges like collaboration, transparency, empathy and skill development while ensuring that affective, cognitive, economic and social dimensions of success are met for all actors involved. Successful initiatives require seamless communication, mutual understanding, cost-benefit favorability and public recognition of contributions.

Given VCC’s rising strategic importance, a plethora of studies have investigated this concept from differing metatheoretical perspectives, yielding potential VCC-based fragmentation. Addressing this gap, we take stock of the VCC literature with a view to distilling the concept’s core, trans-metatheoretical hallmarks, as synthesized in the proposed framework and FPs of VCC.

This study aims to investigate the impact of ethical leadership on employees’ pro-social rule-breaking behavior, focusing on the mechanisms of psychological empowerment and the moderating influence of ethical climate within the organization.

Conducting a survey across three waves, the research involves 515 nursing staff in various Pakistani hospitals. Partial least squares structural equation modeling is used for data analysis.

Contrary to expectations, this study uncovers a positive association between ethical leadership and employees’ pro-social rule-breaking behavior. The relationship is mediated by psychological empowerment, and ethical climate is found to moderate this association.

While challenging traditional assumptions, this study acknowledges limitations related to sector focus and employee perspectives. Future studies are encouraged to explore multiple sectors and incorporate management perceptions for wider generalizability.

The results highlight the need for organizations to consider the unintended consequences of ethical leadership. Managers are advised to be mindful of employees’ psychological dynamics and the organizational environment to navigate the complex interplay between ethical leadership and pro-social rule-breaking.

Understanding the paradoxical influence of ethical leadership extends beyond organizations to broader societal implications. The research encourages organizations to adopt strategies aligning ethical leadership with desired employee behaviors.

This study challenges established perceptions of ethical leadership, prompting a reevaluation of its universally perceived positive nature. It emphasizes the paradoxical influence of ethical leadership on organizational dynamics. The mediating role of psychological empowerment and the moderating effect of ethical climate contribute to the understanding of the relationship between ethical leadership and employees’ pro-social rule-breaking.

The purpose of this study is to investigate the primary determinants influencing the acceptance of generative artificial intelligence (GAI) adoption within Blockchain-enabled environments. Further research will examine the impact of GAI adoption on supply chain efficiency (SCE) through the enhancement of Blockchain.

Drawing on innovation diffusion theory (IDT), this study used partial least square structural equation modelling (PLS-SEM) to look into the hypotheses. The data were gathered via online questionnaires from employers of Chinese supply chain enterprises that have already integrated Blockchain.

The findings of this study demonstrate that relative advantages (RAs), compatibility, trialability and observability have a significant positive effect on GAI adoption, while complexity harms GAI adoption. Above all, the GAI adoption has significantly enhanced Blockchain, thus effectively improving SCE.

The outcomes from this study furnish enterprises and organizations with valuable insights to proficiently integrate GAI and Blockchain capability, optimize supply chain management and bolster market competitiveness. Also, this study will help accelerate the successful integration of business processes and attain Sustainability Development Goals 9, industrial growth and industrial diversification.

To the extent of the author’s knowledge, the current status of the GAI study remains largely exploratory, and there is limited empirical evidence on integrating Blockchain capability and GAI. This research bridges the knowledge gap by fully revealing the optimal integration of these two transformative technologies to leverage their potential advantages in supply chain management.

The present study aims to identify the critical barriers of blockchain technology (BT) implementation in a manufacturing environment in context of developing countries.

In the present work, barriers of BT adoption have been investigated via literature review and screened them through expert’s input. Further, the interrelationships among screened barriers were framed using a modified total interpretive structural modelling (mTISM) and Cross-Impact Matrix Multiplication Applied to Classification (MICMAC) approach. The mTISM aims to develop a contextual relationship-based performance model with the logic behind transitive links formation to explore the dominant barriers. The MICMAC approach categorizes the blockchain adoption barriers based on their driving and dependence power.

Based on the analysis, nine barriers of BT adoption in manufacturing environment were identified and finalized through statistically. The obtained results exhibit that lack of awareness about blockchain and poor training/human expertise on innovative technologies are the most critical barriers that hinder blockchain adoption. This study provides a roadmap and may facilitate manufacturing professional, consultant, governing bodies and policymakers in the preparation of active strategies to overcome challenges in adoption of BT in the running system.

Literature is full with analysis of barriers of BT adoption in the domain of supply chain, operation management and manufacturing in context of developed nation only. The present work is the first attempt to examine the BT adoption barriers in the manufacturing environment of developing economy and covered the mutual-interrelationship among them via modified TISM approach.