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This paper aims to elucidate responsible leadership as a construct with strong moral and ethical underpinnings, as well as a focus on multiple stakeholders and the triple bottom line. This paper also highlights the interdependence of the economic, social and environmental dimensions of a business to achieve corporate sustainability.

This conceptual paper is the outcome of analysing and synthesizing the findings of the literature review on three main constructs: responsible leadership, triple bottom line and corporate sustainability. This review enabled the development of logical associations among these constructs.

The literature revealed logical associations between responsible leadership, the triple bottom line and corporate sustainability. All three constructs embody the three dimensions of economic, social and environmental sustainability, which form the basis of the associations.

Responsible leadership, grounded in stakeholder theory, goes beyond the traditional dyadic leader–follower relationship to influence multiple stakeholders within and outside the organization and achieve positive outcomes for both the organization and society. Multiple levels of outcomes and higher levels of organizational performance for businesses are the hallmarks of responsible leadership.

This paper highlights the importance of responsible leadership and triple bottom-line performance for corporate sustainability. Responsible leadership has the potential to create significant impact on business and society, to achieve long-term corporate sustainability. A conceptual model of responsible leadership is also proposed to show the association between responsible leadership, the triple bottom line and corporate sustainability.

The main purpose of this paper is to explore whether the nature of innovation is accumulative or radical and to what extent past year accumulation of technology stock can predict future innovation. More importantly, the authors are concerned with whether a change of policy regime or a variance in the quality of technology will moderate the nature of innovation.

The authors examined a dataset of 3.6 million Chinese patents during 1985–2015 and constructed more than 5 million citation pairs across 8 sections and 128 classes to track knowledge spillover across technology fields. The authors used this citation dataset to calculate the technology innovation network. The authors constructed a measure of upstream invention, interacting the pre-existing technology innovation network with historical patent growth in each technology field, and estimated measure's impact on future innovation since 2005. The authors also constructed three sets of metrics – technology dependence, centrality and scientific value – to identify innovation quality and a policy dummy to consider the impact of policy on innovation.

Innovation growth is built upon past year accumulation and technology spillover. Innovation grows faster for technologies that are more central and grows more slowly for more valuable technologies. A pro-innovation and pro-intellectual property right (IPR) policy plays a positive and significant role in driving technical progress. The authors also found that for technologies that have faster access to new information or larger power to control knowledge flow, the upstream and downstream innovation linkage is stronger. However, this linkage is weaker for technologies that are more novel or general. On most occasions, the nature of innovation was less responsive to policy shock.

This paper contributes to the debate on the nature of innovation by determining whether upstream innovation has strong predictive power on future innovation. The authors develop the assumption used in the technology spillover literature by considering a time-variant, directional and asymmetric matrix to model technology diffusion. For the first time, the authors answer how the nature of innovation will vary depending on the technology network configurations and policy environment. In addition to contributing to the academic debate, the authors' study has important implications for economic growth and industrial or innovation management policies.

The aim of this paper is to explore mindfulness and self-compassion teachings and practices embedded in a leadership course and their outcome on stress regulation of doctoral-level students.

Eight valid and reliable pre-and post-assessment inventories were administered prior to the first week of class and following the completion of the doctoral-level class. The test scores were measured for improvement and for differences between various demographic groups.

The results suggest significant improvement on almost every mindfulness subscale with approximately 5–22% of the variance in subscale scores attributed to participation. Doctoral students over 40 indicated more score improvement than students under 40, and doctoral students of color indicated more significant score increases than White students.

The research involves doctoral-level students which limits generalizability to other levels of education. Based on the findings, scaling analysis should be conducted on other types of students for generalization purposes.

Institutions looking to incorporate wellness practices into curriculum can embed these types of practices into their course design.

Faculty can become more intentional in how they engage students in mindful compassion skills within their academic programs.

The paper adds a quantitative study into the literature surrounding efficacy of wellness practices in structured curriculum. Institutions looking to provide more resources to students to improve their wellness may find the model useful on their campuses, particularly for students over 40 and students of color.

The deployment of artificial intelligence (AI) technologies in travel and tourism has received much attention in the wake of the pandemic. While societal adoption of AI has accelerated, it also raises some trust challenges. Literature on trust in AI is scant, especially regarding the vulnerabilities faced by different stakeholders to inform policy and practice. This work proposes a framework to understand the use of AI technologies from the perspectives of institutional and the self to understand the formation of trust in the mandated use of AI-based technologies in travelers.

An empirical investigation using partial least squares-structural equation modeling was employed on responses from 209 users. This paper considered factors related to the self (perceptions of self-threat, privacy empowerment, trust propensity) and institution (regulatory protection, corporate privacy responsibility) to understand the formation of trust in AI use for travelers.

Results showed that self-threat, trust propensity and regulatory protection influence trust in users on AI use. Privacy empowerment and corporate responsibility do not.

Insights from the past studies on AI in travel and tourism are limited. This study advances current literature on affordance and reactance theories to provide a better understanding of what makes travelers trust the mandated use of AI technologies. This work also demonstrates the paradoxical effects of self and institution on technologies and their relationship to trust. For practice, this study offers insights for enhancing adoption via developing trust.

This paper's purpose is to explore the current interest and knowledge that UK consumers hold around agroforestry. Despite the many reported benefits of agroforestry systems, uptake in the UK, as well as other temperate nations, has been low. As the consumer has a role to play in the transition of agriculture to methods that are more environmentally friendly it is vital to have an understanding of their perceptions. Yet to date no work has looked at agroforestry from the perspective of the UK consumer.

An online survey was conducted using a convenience sample accessed by floating a link through social media and messaging apps. The survey was also shared to the members of a private Facebook group associated with an organic vegetable box service. A mix of multiple choice and open text boxes were used. The survey received 139 responses.

Non-parametric tests indicate that this sample of UK consumers would be mostly likely to buy, and willing to pay more for, agroforestry produce; and the sample showed a split group regarding familiarity. Inductive thematic analysis of the qualitative data highlighted some important barriers to the purchase as well as capturing a snapshot of this sample's perceptions.

This paper presents, to the authors knowledge, the first set of data regarding a sample of UK consumers' perspective of agroforestry produce. The findings could bolster producers' confidence in adopting agroforestry practices, but also highlight the need for policymakers to bolster consumer support through parallel means.

This paper aims to in the modern world, possessing an attractive appearance is often considered a highly valued attribute. As such, the perceptions and satisfaction with one’s body are shaped by dominant cultural norms. Adolescents, women in particular, who are heavily influenced by media representations, may tend to have a distorted body image (BI), including adopting extreme dieting methods. This study reviews the adverse effects of excessive weight loss associated with this.

The authors searched journals and the internet for relevant literature using the keywords “eating disorders”, “body image” and “weight stigma”. In the case study field, they added papers that considered “nutrition” to identify the link between dieting behaviour and nutrition. From these reviews, the authors ultimately selected 190 articles that appeared to meet their research objectives. The papers cover a range of studies published between 1995 and 2023.

Among adolescent girls and young women in their early 20s, there is a social media-driven culture of being extremely thin and petite. Weight stigma puts more pressure on them and makes strange behaviours like pro-ana syndrome a part of the culture. The authors have seen that modern BI standards leave young women vulnerable to eating disorders caused by excessive dieting.

Adolescence is a time of continuous growth, so balanced nutrition is essential. However, biased societal standards of beauty can push adolescent girls who are sensitive to external gaze into excessive dieting and make eating disorders a culture. This review provides a perspective on the behaviours that should be pursued for a healthy BI.

This study aims to propose resident-based brand equity models on green, creative and smart development themes through a multi-sample telephone survey on Hong Kong residents (n = 751).

This research adopted a quantitative approach with a round of questionnaire-based survey carried out anonymously on adult citizens who have stayed in Hong Kong for more than one year. Telephone survey was performed by a professional survey research centre with trained interviewers between May and July 2022.

The study identifies the magnitude of these city brand equity attributes and reconfigured their composition under separate samples of Hong Kong residents. The results reveal the relatively stronger brand equity for developing Hong Kong as a smart city brand compared with green and creative branding.

The research findings might carry a major limitation of varied interpretations and stereotypes of each city theme (green, creative and smart) by local residents. To minimize the expected bias, two core questions were added to provide respondents with information on each theme before the main survey questions. The questions’ wording was also simplified to ensure the constraint and inconsistency of layman effect.

The common attributes across the themes, including distinctiveness, uniqueness, confidence, positive image, liveability, long-term residence, feature familiarity and top-of-mind, indicate the most prominent aspects of brand equity formation and enhancement. Since urban sustainability does not follow a single path of strategies and infrastructure development, city brand process should also follow a selective approach, which clearly identifies a multiplicity of local interests that could create the best outcomes and the strongest brand equity for the city.

The factor allocation and regression analysis elucidate different configurations of the determining factors with a three-factor model for green city brand equity and two-factor models for the other ones. The findings encore some previous studies supporting the differentiation between common attributes and distinctive attributes, and the overlapping approach to unleash the strongest integration of attributes of brand equity.

The COVID-19 outbreak reached a critical stage when it became imperative for public health systems to act decisively and design potential behavioral operational strategies aimed at containing the pandemic. Isolation through social distancing played a key role in achieving this objective. This research study examines the factors affecting the intention of individuals toward social distancing in India.

A correlation study was conducted on residents from across Indian states (N = 499). Online questionnaires were floated, consisting of health belief model and theory of planned behavior model, with respect to social distancing behavior initially. Finally, structural equation modeling was used to test the hypotheses.

The results show that perceived susceptibility (PS), facilitating conditions (FC) and subjective norms are the major predictors of attitude toward social distancing, with the effect size of 0.277, 0.132 and 0.551, respectively. The result also confirms that the attitude toward social distancing, perceived usefulness of social distancing and subjective norms significantly predict the Intention of individuals to use social distancing with the effect size of 0.355, 0.197 and 0.385, respectively. The nonsignificant association of PS with social distancing intention (IN) (H1b) is rendering the fact that attitude (AT) mediates the relationship between PS and IN; similarly, the nonsignificant association of FC with IN (H5) renders the fact that AT mediates the relationship between FC and IN.

The results of the study are helpful to policymakers to handle operations management of nudges like social distancing.

The research is one of its kind that explores the behavioral aspects of handling social nudges through FC.