Indian Institute of Management Bodh Gaya

This study examines how integrating artificial intelligence (AI) with human intelligence (HI) reshapes alliance governance and, consequently, affects the firm’s performance. We propose a hierarchical architecture in which AI–HI augmentation acts as a foundational driver enabling the relational and formal governance flexibility, resulting in effective alliance performance. Considering the explorative nature of work and the need for diverse insights, we have used total interpretive structural modeling (TISM) to derive the architecture based on practitioners’ inputs. Furthermore, to synthesize the findings with the real-life scenarios, the SAP–LAP approach of case study analysis is used. This is used to demonstrate and ground the mechanisms in practice. We find that AI–HI augmentation improves alliance governance flexibility, resulting in effective goal and incentive alignment between the partners and eventually improving alliance performance.

This study integrates three theories, namely, technology acceptance model, privacy calculus theory, and theory of planned behavior into a meta-analytic framework to synthesize permission marketing literature and to give generalizable findings on how various factors such as perceived ease of use, perceived usefulness, perceived benefits, perceived risks, perceived behavioral control, and subjective norm drive consumers’ acceptance of permission marketing. 56 research papers were considered for this study, which constituted a collective sample size of 17,920 respondents across 22 countries. MASEM technique and moderation analysis were performed using AMOS-27 to test the proposed hypotheses. Results indicate that perceived ease of use, perceived usefulness, perceived benefits, perceived behavioral control, and subjective norms facilitate consumers’ participation in a permission marketing campaign, whereas perceived risk inhibits it. Moderation analysis indicates that four methodological (gender dominance, country of study, sample size, and sample type) and two contextual (medium/channel of permission marketing, and type of business setting) moderators contribute to the inconsistent findings in the permission marketing domain. Being the first meta-analysis, this study contributes to the permission marketing domain by demonstrating generalizable findings regarding the nature and strength of the association between the variables investigated in this domain and revealing the rationale behind the inconsistent findings reported across studies. In terms of practical contributions, this study suggests insightful practical implications for marketers/retailers in designing effective permission marketing campaigns to attract more subscriptions.

The Kyoto Protocol and the subsequent Doha Amendment represent crucial milestones in international environmental efforts to establish binding emission reduction targets for the participating members. Many studies have examined the effects of the former, but not many the latter, on emissions reduction; however, their impact is inconclusive. One major reason may be due to the heterogeneous issue arising from the fact that countries ratified and implemented those agreements at different times. This study is the first to employ the staggered difference-in-difference method to analyse the two agreements within a unified framework. We empirically found that ratifying the Kyoto Protocol has significantly contributed to a decrease in global carbon dioxide emissions, although the impacts of the Doha Amendment are not statistically clear, underscoring the substantial role those agreements can play in protecting the global environment. Our findings are robust across several techniques, including the imputation estimator and the average group-time treatment approach.

This study examines the relationship between digitization and financial development in emerging Asian economies, factoring in human capital, institutional quality, economic growth and globalization. Using panel Generalized Method of Moments, dynamic least squares and panel-corrected standard errors, results reveal that digitization, institutional quality and economic growth positively impact financial development, while human capital and globalization have negative effects. Recommendations include advancing digital financial infrastructure, improving institutional quality, supporting economic growth through entrepreneurship and enhancing infrastructure. Country-specific strategies address challenges such as financial inclusion and cybersecurity. By adopting these policies, emerging Asian economies can build a resilient, inclusive financial system and drive economic prosperity.

PurposeThe purpose of this research is to develop a concise and organized list of features representing a smart campus to facilitate better strategic planning and allocation of resources. Existing studies have created long lists of features that lack organization and are not practical for strategic decision making. Moreover, the absence of a clear hierarchical framework and limited analysis of causal relationships under uncertainty highlight a strong research gap that warrants this investigation. This study addresses these gaps by introducing a hierarchical, five-category framework and employing fuzzy Decision-Making Trial and Evaluation Laboratory (DEMATEL) to analyse causal interdependencies under uncertainty.Design/methodology/approachA systematic literature review was conducted across Scopus database using smart campus keywords and five main features and seventeen sub-features were synthesized. The study employs the fuzzy DEMATEL technique to develop a hierarchical framework for a smart campus. Data were collected through pairwise comparison surveys from four domain experts in academia, IT management, and campus infrastructure at a leading Indian educational institution.FindingsThe results indicate that learning and teaching, life and health, and sustainability are the highest-ranked smart campus features. Infrastructure and operations, governance and administration are identified as key driving features that influence others. Hybrid teaching, connectivity, e-governance, personal guidance, and social sustainability are the most important sub-features.Originality/valueThis study has used Fuzzy DEMATEL to analyse the relationships among the features in the hierarchical structure. This research provides valuable insights for university administrators on how to prioritize projects and allocate resources to implement smart campuses.