Ebtesam Abdullah Alzeiby

Purpose: The study aims to explore the resistance toward food delivery applications (FDAs) and uncover insights into this inhibitory behavior. Design/methodology/approach: The study utilized the GIOIA approach, an inductive investigation where 31 respondents participated in the inductive study. This method utilized the open-ended essay-type questionnaires, and responses were documented to elicit codes for qualitative analysis. Findings: The findings elicit various barriers to the rapid adoption of FDAs. This helps in proliferating the literature of innovation resistance theory (IRT) toward FDAs and enables firms to promote niche offerings to yield higher sales through digitization. Originality/value: The study deepens the reactance toward FDAs using the IRT, flourishing the scant literature. Moreover, the study elicits crucial barriers to the FDA’s rapid adoption in online food delivery, providing compelling solutions to mitigate their reactance behavior.

Purpose: Generative Artificial Intelligence is reshaping higher education by enabling new forms of collaboration between learners and intelligent systems. Drawing on Hybrid Intelligence and Self-Regulated Learning theories, this study proposes and empirically tests a Hybrid–Self-Regulation Model to explain how human–artificial intelligence collaboration influences engagement, self-regulation and learning outcomes. Specifically, the study examines how perceived collaborative artificial intelligence support, trust in artificial intelligence collaboration and artificial intelligence-enabled adaptive personalization drive collaborative engagement (CE), which in turn enhances self-monitoring (SM) and metacognitive reflection (MR). Design/methodology/approach: Using data from 307 students across six countries, the study examines how Perceived Collaborative AI Support (PCAS), Trust in AI Collaboration (TAIC) and AI-Enabled Adaptive Personalization (AIAP) drive CE, which in turn enhances SM and MR. Findings: The findings reveal that perceived collaborative artificial intelligence support, trust in artificial intelligence collaboration and artificial intelligence-enabled adaptive personalization significantly increase CE and CE strongly predicts SM and MR. MR further positively influences academic achievement, creativity and innovation and responsible and ethical problem-solving. Serial mediation analyses confirm that the impact of perceived collaborative artificial intelligence support and artificial intelligence-enabled adaptive personalization on learning outcomes is transmitted through CE, SM and MR. Originality/value: This study contributes theoretical clarity on human–artificial intelligence co-learning mechanisms and offers practical guidance for designing artificial intelligence-enhanced, ethically grounded learning ecosystems in higher education.

Eco‐guilt refers to the feeling of moral unease that travellers experience when they realise their own role in causing environmental damage. Although several studies have examined pro‐environmental behaviour, this emotion has not received sufficient attention in the context of tourism and travel. The present study attempts to understand how emotional connection with nature and individual value‐based orientations are related to the feeling of eco‐guilt. The research applies the Stimulus–Organism–Response (S–O–R) framework and examines how nature connectivity, sustainable self‐perception and sustainable orientation influence eco‐guilt, along with the moderating role of environmental knowledge in these relationships. A sequential mixed‐method design was adopted, which combined both quantitative and qualitative phases. The model was empirically tested through data collected from 331 travellers who participated through the Prolific platform followed by a post hoc qualitative analysis through open‐ended essays. The results indicate that eco‐guilt emerges only when an emotional bond with nature coincides with concrete awareness of harm and affect travellers' perception and orientation towards sustainability. The findings highlight that stronger environmental knowledge amplifies the translation of nature connectivity into sustainable self‐perception and sustainable orientation, thereby shaping the intensity of eco‐guilt. This paper contributes to the literature on moral emotions in tourism and provides practical suggestions for destination managers who are aiming to encourage sustainable travel behaviour.

This study proposes to investigate the impact of Green Messages and tourists' eco‐emotions like eco‐guilt and eco‐shame on sustainable actions, including perceived environmental friendliness as a boundary condition from the theoretical lens of Affect Infusion Model (AIM). This study tests the proposed model by employing a mixed‐method framework using partial least square structured equation modelling (PLS‐SEM) to examine the quantitative data from frequent travelers ( N = 288) and the Gioia technique for analyzing the qualitative insights from experts ( n = 18). The findings of the quantitative analysis revealed that green messages significantly shape sustainable actions and evoke eco‐shame, which mediates the relationship between green messages and sustainable action. Further, perceived environmental friendliness moderates the association of green messages on sustainable action, eco‐guilt, and eco‐shame and sustainable action. The results of the qualitative analysis drive the emergence of four aggregate dimensions such as green consciousness, eco‐message congruity, eco‐identity regulation, and pro‐environmental transformation emphasizing how tourists internalize and act upon emotional environmental cues. Overall, the novelty of this research is grounded in extending the AIM into the green messaging domain and exploring the diverse roles of eco‐guilt and eco‐shame in developing emotionally resonant, credible sustainability campaigns to foster behavioral change in tourist pro‐environmental actions.

Purpose: This study utilizes intellectual capital theory (ICT) to examine the impact of intellectual agility, digital creativity, platform readiness, algorithmic autonomy support, networking competence and emotional congruence on the social media reuse likelihood of employees. This study also explores the moderating role of platform literacy between intellectual capital dimensions and social media reuse likelihood. Design/methodology/approach: This study employed a cross-sectional, quantitative research design by collecting data from 300 employees working across diverse industries. Covariance-based structured equation modelling is used to analyse the data and test the hypotheses. Findings: The findings demonstrate that intellectual agility, digital creativity, platform readiness and algorithmic autonomy significantly shape the social media reuse likelihood of employees. The results also established the moderating role of platform literacy between digital creativity, networking competence and social media reuse likelihood. Originality/value: This study offers a novel framework grounded in intellectual capital theory by integrating dimensions of human capital, structural capital, relational capital and platform literacy to predict the social media reuse likelihood of employees in technology-centred workplaces.

Purpose: This study aims to understand how Dual Processing Theory (DPT) explains the phenomena of retailing to urban sophisticates. This study combines aspects of DPT and social capital to discuss intellectual capital formation in the retail industry. Design/methodology/approach: We conducted a content analysis of media messages through a sample of 146 media articles and 37 videos to compare the positive and negative discussions around urban sophisticates. Findings: The results revealed that an urban sophisticate’s physical and behavioural characteristics, which differentiate it from traditional masculinity, impact popular culture and affect society's gender norms, contributing to the intellectual capital formation of a retail firm by leveraging its social capital. Research limitations/implications: Our approach has both a limitation and a research opportunity. The scope of this study is limited to specific regions or markets, such as Western countries like Europe. Further studies should consider the scope by including emerging markets and non-Western countries to better understand metrosexual retailing to urban sophisticates across different cultural contexts. Practical implications: With an increased focus on men's physical appearance and self-care, retailers can capitalize on this growing trend by providing products and services tailored to urban sophisticates. In addition, systems 1 and 2, which produce judgments that lead to the purchase of products and services by urban sophisticates, are examined through media discourse. These findings suggest possible solutions for the retail industry to capitalize on and target this segment of urban sophisticates through leveraging social capital. Social implications: The theoretical and managerial implications of DPT systems in understanding this segment and its consumption pattern to strategize for metrosexual retailing to urban sophisticates through leveraging social capital. Originality/value: This study provides media narratives through the critical lens of DPT systems 1 and 2 and the intellectual capital theory constituents under social capital, that is cognitive, structural and relational, to explain the emerging segment of “Urban Sophisticates” that retailers can leverage to discern potential avenues for growth and formulate novel products or services catering to them.