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The desire to spectate at traditional events and festivals in different countries is dying. From a marketing perspective, researchers and practitioners need to understand why people spectate at these conventional events and festivals. Data-driven marketing approaches can help event and festival marketing policymakers in attracting potential spectators. Drawing on attachment theory, the current study fills this void and explores fans' motivation and intentions to follow Kushti (i.e. traditional wrestling) events while developing a new event attachment scale (EAS).

Three comprehensive studies were conducted. First, an exploratory study where 12 retired wrestlers, considered hardcore fans of Kushti were interviewed. The collected data was analyzed using thematic analysis. Second, a pilot study (n = 204) was performed leading to a main survey (n = 365). The survey data was analyzed using exploratory and confirmatory factor analysis techniques.

Results revealed five types of attachments (i.e., ground attachment, game attachment, emotional attachment, cultural attachment and player attachment). An important intervention is the unique elements within each of these attachments, which may motivate fans to follow traditional gaming events. The new scale offers excellent psychometric properties.

Event and festival marketers should consider the role of tradition while marketing such events. The retired wrestlers can be used as influences/reference points to attract visitors to spectate at Kushti events. Furthermore, facilities such as smooth roads, approachable grounds and excellent service operations during these events can help policymakers to attract more spectators.

The study is unique in contextualizing Kushti and presenting a unique scale to measure fans' motivations and intentions to follow traditional gaming events.

The present study aims to examine the relationship between techno-ethical orientation and ethical decision-making (EDM) in Indian supply chain companies during the COVID-19 pandemic. It also aims to explore the moderating role of technological frames (TF) in the relationship between techno-ethical orientation and EDM.

The relationship between techno-ethical orientation and EDM is examined using correlation and regression analysis. The moderating effect of five dimensions of TFs (personal attitude, application value, organisational influence, supervisor influence and industry influence) is analysed using structural equation modelling.

The correlation coefficient between techno-ethical orientation and EDM is 0.513. Also, the regression coefficient (β = 0.213) is significant at 0.05, establishing a positive linkage between the two. R-square values showed a 45.2% variation in EDM is explained by techno-ethical orientation. Similarly, all variables of TFs have a positive and significant moderating effect on the relationship between techno-ethical orientation and EDM.

This is one of the pioneer studies exploring techno-ethical orientation’s impact on EDM in supply chain companies.

This study aims to evaluate the role of personality in digital library systems (DLS) adoption intention among Generation Z (Gen-Z) students. The study uses the unified theory of acceptance and use of technology-2 and the five-factor model to investigate personality’s influence on Gen-Z’s DLS adoption intention.

The study is a descriptive causal investigation based on primary data collected through a self-administered survey using pre-validated tools. The study uses structural equation modeling to investigate personality dimensions’ direct and moderating effect on the dependent, independent variables and their relation.

The study results indicate that personality has no significant influence on Gen-Z’s DLS adoption, suggesting the ubiquity and inevitability of technology in current times. Also, only performance expectancy had a considerable impact on DLS adoption among Gen-Z going to college – a deviation from past studies where multiple independent variables have influenced DLS adoption when examined from different technology adoption model angles.

The current research is done on Gen-Z, and thus the results are ideographic to the cohort.

The results of the study can be used to effectively design and communicate technology-enabled information solutions among the Cohort.

The results of the study help better understand the factors affecting the technology adoption intentions of Gen-Z. Such understanding can help in better design and implementation of technology-enabled solutions for the cohort, maximizing such system adoption and its effective and efficient utilization.

The study explores the impact of personality on DLS adoption intentions, hitherto unexplored. The research also focuses on Gen-Z – a cohort born in a technology-enabled world whose attitude and preferences towards technology might differ. The study’s findings will help understand the influence of personality on DLS adoption among the Gen-Z and can be used to design, promote and evaluate such systems.