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This study aims to understand the phenomenon of organisational anthropomorphism, a psychological process in which employees attribute personality characteristics to organisations. Anthropomorphism, a psychological concept, after making its mark in consumer behavioural studies, is emerging into the domain of organisational behaviour. This less deliberated concept is explored through the lens of psychological cues and motives leading to the identification of its managerial antecedents of organisational citizenship behaviour (OCB) and corporate social responsibility (CSR) and their confluence into organisational culture. Further, the relationship between organisational culture and organisational anthropomorphism is established through literature review with a number of propositions and a framework.

This paper explores the available literature on organisational anthropomorphism and the constructs of organisational culture by employing literature review methodology. On the basis of selected research studies sourced from high ranked journals from Web of Science, Scopus and journal homepages, domain-based and theory-based reviews were performed to comprehend the concept of organisational anthropomorphism.

This study identifies OCB and CSR as the antecedents of organisational anthropomorphism through the psychological cues and motives, comes out with a number of propositions and recommends a framework based on the same.

This paper helps managers study employee behaviours and observe the organisation’s connections with society. Moreover, this study benefits organisations to brand themselves better amongst employees and external stakeholders.

This paper helps managers study employees’ citizenship behaviours through anthropomorphic cues exhibited by employees and improve organisation-employee association. It also suggests organisations to brand themselves using anthropomorphic social traits to stage itself as a socially responsible entity among external stakeholders. The empirical validation of proposed framework through quantitative and qualitative methods is proposed to be the future scope of the study.

This study aims to integrate the Social Cognitive Career Theory with the Theory of Planned Behavior to unravel the intricate dynamics of how engaging with ChatGPT affects individuals’ digital entrepreneurial intention, underlying the serial mediation mechanism of the cognitive and reasoned career process.

This research use a cross-sectional design, drawing on a sample of 604 higher education students from six universities in Vietnam. Multiple regression analyses were conducted to test the formulated hypotheses after assessing the reliability and validity of scales through Cronbach’s alpha and confirmatory factor analysis.

The results indicate that ChatGPT adoption significantly increases perceived AI competencies, entrepreneurial opportunity recognition and digital entrepreneurial self-efficacy. Digital entrepreneurial self-efficacy was found to have a positive impact on attitudes toward digital entrepreneurship, which, in turn, fosters digital entrepreneurial intention. ChatGPT adoption thus poses serial indirect impacts on digital entrepreneurial intention through the sequential pathways of enhanced digital entrepreneurial self-efficacy and positive attitudes.

This study’s findings provide valuable recommendations for entrepreneurs, higher education institutions and policymakers.

This research contributes to the entrepreneurship literature by integrating two prominent theoretical frameworks to elucidate how ChatGPT adoption impacts digital entrepreneurial intentions. The serial mediation model expands that understanding of the complex cognitive and reasoned processes involved, providing a novel perspective on the role of AI in entrepreneurship.

The present study aimed to explore the consequences of perceived authenticity in artificial intelligence (AI) assistants and develop a serial-mediation architecture specifying causation of loyalty in human–AI relationships. It intended to assess the predictive power of the developed model based on a training-holdout sample procedure. It further attempted to map and examine the predictors of loyalty, strengthening such relationship.

Partial least squares structural equation modeling (PLS-SEM) based on bootstrapping technique was employed to examine the higher-order effects pertaining to human–AI relational intricacies. The sample size of the study comprised of 412 AI assistant users belonging to millennial generation. PLS-Predict algorithm was used to assess the predictive power of the model, while importance-performance analysis was executed to assess the effectiveness of the predictor variables on a two-dimensional map.

A positive relationship was found between “Perceived Authenticity” and “Loyalty,” which was serially mediated by “Perceived-Quality” and “Animacy” in human–AI relational context. The construct “Loyalty” remained a significant predictor of “Emotional-Attachment” and “Word-of-Mouth.” The model possessed high predictive power. Mapping analysis delivered contradictory result, indicating “authenticity” as the most significant predictor of “loyalty,” but the least effective on performance dimension.

The findings of the study may assist marketers to understand the relevance of AI authenticity and examine the critical behavioral consequences underlying customer retention and extension strategies.

The study is pioneer to introduce a hybrid AI authenticity model and establish its predictive power in explaining the transactional and communal view of human reciprocation in human–AI relationship. It exclusively provided relative assessment of the predictors of loyalty on a two-dimensional map.

Given the potential benefits of gamification in running apps, it is necessary to explore the impact of users’ gameful experience on their intention to continue using running apps. This study aims to empirically investigate this relationship along with the roles of brand attitude as a mediator and negative online reviews as a moderator.

The study surveyed 332 running app users in China. The reliability and validity of measures were confirmed by confirmatory factor analysis (CFA). The proposed hypotheses were verified by Process Macro.

The results show that (1) gameful experience positively impacts intention to continue using running apps, (2) brand attitude mediates the relationship between gameful experience and intention to continue using running apps and (3) negative online reviews moderate the relationship between gameful experience and brand attitude but not the relationship between brand attitude and intention to continue using running apps. Specifically, the effect of gameful experience on brand attitude decreases as users’ perception of negative online reviews increases.

These findings have both theoretical and practical implications for understanding the relationship among users’ gameful experience, brand attitude and intention to continue using running apps, as well as for developing effective gamification strategies to enhance user engagement and retention in running apps.

This study aims to embed anatase, rutile and brookite TiO₂ nanoparticles (NPs) with different crystal phases into cotton fabrics by epoxy silane and to examine the effect of these applications on the photocatalytic and mechanical properties of the fabric.

Different aqueous dispersions which contain anatase, rutile and brookite were prepared at three different concentrations (5%, 10% and 15%). These NPs were embedded in cotton fabrics by using GPTS [(3-glycidyloxypropyl) trimethoxysilane]. Characterization tests were performed by scanning electron microscopy (SEM), Raman and Fourier-transform infrared spectroscopy (FT/IR). Samples were stained with methylene blue (MB) and then exposed to solar light for different periods. Color changes of the samples were examined with a spectrophotometer. Air permeability, abrasion and tear strength tests were applied to all samples.

According to SEM images, the NPs were successfully attached to the cotton fabrics, and epoxy silane coating surrounded the fiber surfaces. The presence of the coating was also confirmed by Raman spectroscopy and FT/IR. The treatments reduced the stainability of the samples. The most effective applications for ensuring photocatalytic activity in cotton fabrics were suspensions as 10% brookite, 10% anatase and 5% anatase, in descending order. The applied coating slightly reduced the samples’ air permeability, and wear and tear strength.

The importance of this study is to determine the optimal crystal phase and its concentration by using epoxy silane to ensure self-cleaning properties on cotton fabrics. The sample treated with 10% brookite is the most approached its original white color by 99.65% as a result of degradation of MB (after 120 min). On the other hand, using the pure rutile with epoxy silane was not suitable for removing MB from the fabric.

This article aims to develop and validate a theoretical model via survey data to identify the affordances and challenges influencing metaverse adoption. We specifically examine the impact of immersion on users' adoption decisions and identify which affordances predict this immersion. Additionally, this paper assesses the importance of perceived risks in users' decision-making processes regarding future metaverse engagement.

Using regression models applied to 198 survey responses, we tested our proposed model. To deepen our insights, we also conducted a qualitative analysis.

The findings confirm that users' perceptions of immersion and perceived risks are critical determinants in adoption decisions. Social presence, influenced by factors such as ubiquity and interoperability, emerges as a key component of immersion. From the qualitative data, we identified two potential strategies to enhance metaverse immersion: technical improvements and offline device-assisted strategies.

Our study contributes to the literature on information systems (IS) adoption and provides practical insights for practitioners on crucial considerations in metaverse design.

There is a growing interest among academics, government agencies and private organisations to examine the scale, characteristics, and impact of Open Innovation (OI). Studies have examined these issues mainly in the context of a developed world. Because firms in developing economies face unique challenges of OI such as building networks, inter-firm interactions, collaboration for resource utilisation and knowledge sharing, these warrant an examination of the theoretical relationships between the antecedents of OI and their impact on performance as well as mediators of these relationships. Therefore, this study develops a comprehensive OI framework to measure open innovation and analyse its effect on the innovation performance of Indian IT organisations.

Theoretically, the study draws upon the Resource-Based View, Relational View, and Absorptive Capacity theories. Empirically, a survey questionnaire was distributed to Indian IT organisations through the online survey tool “Qualtrics”. The research framework was tested using the data collected from 346 Indian IT organisations.

The results highlight the positive effect of OI activities on innovation performance and the mediating role of absorptive capacity. IT organisations with a higher inbound knowledge and absorptive capacity demonstrated better innovation performance.

This study is limited to understanding the mediating effect of absorptive capacity for inbound innovation. Future studies into the mediating role of desorption capacity could reveal its impact on innovation performance.

From a management perspective, this knowledge will enable managers and policymakers to emphasise OI to achieve better innovation performance. This knowledge will provide both government decision-makers and IT managers with definite OI implications for innovation performance.

The main contribution of this study lies in exploring the interconnectedness among IT organisations and collaborative processes on OI and innovation performance. This empirical study pinpoints the causes and sources of OI that would lead to innovation performance and the mediating role of absorptive capacity in achieving innovation performance. It extends the empirical base of OI scholarship based on firms in an emerging economy.