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This study aims to address the need for robust conceptual foundations in the digital nomadism discourse through a systematic literature review (SLR). It delves into digital nomadism within sustainable tourism, providing valuable insights to foster community development.

This study uses a rigorous eight-step process that combines an SLR and a system dynamics approach. In the SLR phase, the authors use the theory, context, characteristics and methodology framework to identify key variables for a dynamic model of sustainable tourism through digital nomadism, following detailed search and selection criteria based on PRISMA guidelines. The second phase uses causal loop diagrams (CLDs) from the literature review to visualize relationships and inform future research directions. The CLD model is validated through literature-based and stakeholder interaction processes, focusing on the social, economic and environmental dimensions, resulting in the development of a robust conceptual model.

This study identified 28 theories, including agency–structure theory, travel career ladder theory, stakeholder theory and grounded theory, among others. Semi-structured interviews were the primary research method. Major themes explored encompass community interactions, work lifestyles, cultural aspects, financial considerations, infrastructure and policy. The proposed conceptual model aims to scrutinize relationships across economic, environmental and social dimensions, providing a foundation for investigating and promoting sustainable tourism.

Policy implications involve refining taxation policies to maintain tax bases, promoting collaborative economic models and enforcing environmental regulations. Additionally, integrating community planning infrastructure and implementing demographic strategies to manage potential population shifts are crucial. Policies supporting education, skill transfer, health and well-being initiatives contribute significantly to fostering sustainable tourism practices and enhancing community vitality.

To the best of authors’ knowledge, this study is the first in the digital nomadism space to propose a conceptual model for sustainable tourism adoption.

本研究通过系统的文献综述解决了数字游牧话语中对坚实概念基础的需求。它深入研究了可持续旅游业中的数字游牧主义, 为促进社区发展提供了宝贵的见解。

本研究采用严格的八步流程, 结合了系统文献综述（SLR）和系统动力学方法。在 SLR 阶段, 我们利用 TCCM 框架, 遵循基于 PRISMA 指南的详细搜索和选择标准, 通过数字游牧主义确定可持续旅游业动态模型的关键变量。第二阶段利用文献综述中的因果循环图（CLD）来可视化关系并为未来的研究方向提供信息。 CLD 模型通过基于文献和利益相关者互动过程进行验证, 重点关注社会、经济和环境维度, 从而开发出稳健的概念模型。

本研究确定了 28 种理论, 包括代理结构理论、旅游职业阶梯理论、利益相关者理论和扎根理论等。半结构化访谈是主要的研究方法。探讨的主要主题包括社区互动、工作生活方式、文化方面、财务考虑、基础设施和政策。提出的概念模型旨在审查经济、环境和社会维度之间的关系, 为调查和促进可持续旅游业提供基础。

政策影响包括完善税收政策以维持税基、促进协作经济模式以及执行环境法规。此外, 整合社区规划基础设施和实施人口战略以管理潜在的人口变化也至关重要。支持教育、技能转让、健康和福祉举措的政策对促进可持续旅游实践和增强社区活力做出了重大贡献。

据作者所知, 这项研究是数字游牧领域第一个提出可持续旅游业概念模型的研究。

Este estudio aborda la necesidad de fundamentos conceptuales sólidos en el discurso del nomadismo digital, mediante una revisión sistemática de la literatura. Profundiza en el nomadismo digital dentro del turismo sostenible, proporcionando un conocimiento valioso para fomentar el desarrollo comunitario.

Este estudio emplea un riguroso proceso de ocho pasos que combina una revisión sistemática de la literatura (SLR) y un enfoque de dinámica de sistemas. En la fase SLR, utilizamos el marco Teoría-Contexto-Características-Metodología (TCCM) para identificar variables clave para un modelo dinámico de turismo sostenible a través del nomadismo digital, siguiendo criterios detallados de búsqueda y selección basados en las directrices del método de elementos de notificación preferidos para revisiones sistemáticas y metaanálisis (PRISMA). La segunda fase utiliza diagramas de bucles causales (CLD) a partir de la revisión de la literatura para visualizar las relaciones e informar sobre futuras direcciones de investigación. El modelo CLD se valida mediante procesos basados en la literatura y en la interacción con las partes interesadas, centrándose en las dimensiones social, económica y medioambiental, lo que da como resultado el desarrollo de un modelo conceptual sólido.

Este estudio identificó 28 teorías, entre ellas la teoría de la estructura de agencia, la teoría de la carrera profesional en los viajes, la teoría de las partes interesadas y la teoría fundamentada. Las entrevistas semiestructuradas fueron el método de investigación primordial. Los principales temas explorados abarcan las interacciones comunitarias, los estilos de vida laborales, los aspectos culturales, las consideraciones financieras, la infraestructura y la política. El modelo conceptual propuesto tiene como objetivo examinar las relaciones entre las dimensiones económica, medioambiental y social, proporcionando una base para investigar y promover el turismo sostenible.

Las implicaciones políticas conllevan el perfeccionamiento de las políticas fiscales para mantener las bases impositivas, el fomento de modelos económicos colaborativos y el cumplimiento de la normativa medioambiental. Además, es fundamental integrar la infraestructura de planificación comunitaria y aplicar estrategias demográficas para gestionar los posibles cambios en la población. Las políticas de apoyo a las iniciativas de educación, transferencia de habilidades, salud y bienestar contribuyen significativamente a fomentar prácticas de turismo sostenible y a mejorar la vitalidad de la comunidad.

Hasta donde el autor sabe, este estudio es el primero en el espacio del nomadismo digital que propone un modelo conceptual para la adopción del turismo sostenible.

Social media marketing (SMM) denotes attaining website traffic or attention through social media platforms. The paper aims to focus on examining the viewpoint of library professionals from different universities along with the user respondents from different disciplines and universities on the role of social media tools to market university libraries.

It is a survey-based study that used the questionnaire as its chief data collection instrument designed to be administered to library professionals (n = 100) and users (n = 1,189) from eight universities. The study also adopted the general observation and interview methods to supplement the data. The data was analyzed using SPSS software, and Chi-square test and ANOVA were applied to ascertain the significant variations in viewpoints of the library professionals and the users.

The research study showed that library professionals (from different universities) and users (from different disciplines and universities) felt that social media could be an appropriate marketing tool for libraries in the future. Observations during data collection highlighted a lack of confidence and unwillingness among library professionals to implement any changes in the present time.

The present study provides some significant insights for improving the current situation of the libraries under study in terms of increasing awareness among the students and adopt social media tools for marketing of library facilities and services in future. It is important to note that a few issues that came into light during data collection were a marked lack of willingness and prevalence of less confidence among the library professionals to execute or implement the social media tools to market library resources and services among the users.

SMM programs focus on creating content that attracts attention and encourages readers to use it. This study attempts to fill the gap in of marketing in libraries through social media. The paper offers insights into the use of marketing tools for promoting library resources and services as per the needs of library users. The research work differs from other studies undertaken on library marketing related to social media as it has included both library professionals and users together to obtain a better picture in this regard.

This study aims to explore tourist perceptions and behaviors toward electric vehicles (EVs) in the Delhi National Capital Region using the technology continuance theory.

An online survey involving 226 respondents uses structural equation modeling to analyze correlations among factors, including perceived enjoyment, facilitating conditions, ease of use, satisfaction, cost, image and performance.

This study reveals that enhancing perceived enjoyment and facilitating conditions can improve the user-friendliness of EVs. Additionally, reducing perceived cost, enhancing image and improving perceived performance can increase the perceived usefulness of EVs. Perceived ease of use strongly influences user satisfaction, while perceived usefulness and satisfaction positively impact users’ attitudes and intentions to use EVs. Although factors such as experience, environmental consciousness, age and gender influence perceptions, focusing on enjoyment, facilitating conditions, cost, image and performance can significantly enhance user satisfaction and intention to use EVs.

The findings underscore several actionable recommendations for businesses and policymakers to boost EV adoption at tourist destinations. The potential benefits of EV adoption, such as improved environmental sustainability, enhanced technological image and increased tourist satisfaction, can serve as a source of inspiration and motivation. Enhancing user experience by prioritizing comfort and convenience in EV design is crucial. Addressing cost concerns through incentives and cost-effective pricing strategies can make EVs more appealing. Marketing campaigns highlighting environmental benefits and technological advancements can improve EV image and performance perception. Prioritizing tourists’ satisfaction and support services is essential, along with educational campaigns to increase awareness. Infrastructure development, including expanding charging networks, and supportive policies like tax incentives, can further encourage EVs adoption, accelerating the transition to sustainable transportation.

This research contributes to understanding tourist perspectives on EV adoption within the context of sustainable tourism and technology adoption.

This study presents a review based research framework that aims to influence memory institutions in their projects on digital storytelling from digitized ancient travel records. This study aims to influence research and policymaking related to design and delivery of services based on memory institutions’ collections of historical records.

The demonstrated research framework has been synthesized using inputs from a review of existing studies on the domain accompanied by a short survey created for collecting the opinion of selected experts. Studies demonstrating utilization of semantic web technologies and those that can influence policymaking related to digital storytelling were primarily reviewed.

The core tasks behind digital storytelling vary depending on the project goals. So, a two-part framework had to be proposed that covers the generic fundamental tasks with diverse applicability and digital storytelling related specific tasks separately. Also during the review, it was found that studies demonstrating the use of travel records for digital storytelling were less in number compared to studies using digital storytelling for tourism in general.

The demonstrated research framework can guide memory institutions in exposing their travel-related holdings to a wider audience using innovative semantic web technologies and open up avenues for future empirical research thereby adding to the novelty of the presented research. Also, reviews of articles on digital storytelling or digital humanities in general exist, but, review of digital storytelling initiatives focusing specifically on tourism and travel literature is scarce.

This study aims to examine whether social initiatives adopted by firms lead to improved financial performance. The authors analyse the impact of different elements of social initiatives on wealth creation for firms in terms of operating and market performance.

The study is based on the social initiative scores of over 4,500 firms collected from Thomson Reuters' ESG database. The study uses two-stage least squares (2SLS) to analyse the relationship between social initiatives and firm performance.

Profitable, mature, capital intensive and firms with high sales growth rate tend to invest more in social initiatives. Firms with high agency costs invest in social initiatives for workforce efficiency, maintaining human rights and product responsibility. The study documents evidence that social investments are value creating mechanism for firms which leads to improved financial performance in terms of operating and stock market performance. Firms with high dividend intensity invest in social initiatives for workforce welfare and human rights initiatives. Investment in employee well-being and community initiatives results in intangible benefits such as improved stock market valuation.

The research model has not considered the impact of intervening variables to understand the relationship between corporate social performance and corporate financial performance.

Firms ought to recognize that social investment is beneficial in terms of value creation of firms as stock market perceive such investments favourably. Firms must focus more on community development initiatives and workforce initiatives for the value creation of firms compared to investments directed towards human rights initiatives and product responsibility initiatives.

This study focusses exclusively on the social dimension of the CSR activities. The authors examine the impact of social welfare scores on firm performance by analysing the valuation effects on scores representing workforce, human rights, community and product responsibility. Moreover, the paper also examines the impact of a new dimension of product responsibility on firm performance. They also focus on both aspects of financial performance in terms of operating performance (proxied by ROE) and the joint impact of both operating and market performance (proxied by Tobin’s Q). This paper contributes to the research on the linkage of social performance to financial performance by observing that firms with high agency cost characteristics tend to invest in social initiatives for work force efficiency, maintaining human rights and product responsibility.

This study intends to unmask the antecedents of metaverse adoption intention (MAI) within the Indian hospitality industry. To achieve this objective, we extended the “unified theory of acceptance and use of technology” (UTAUT) by integrating additional constructs: “perceived cyber risk” (PCR), “trust” (TR), “personal innovativeness in IT” (PIT) and “hedonic motivation” (HM).

A quantitative research methodology was employed, utilizing data gathered through an online survey disseminated via Google Forms to evaluate the constructs of the study. Convenience and snowball sampling were used, and the proposed relationships were analyzed using “partial least squares structural equation modeling” (PLS-SEM).

The study presents a robust model explaining MAI among Indian hospitality consumers, with a high R² of 81%, indicating strong predictive relevance. Core UTAUT constructs (PE, EE, SI and FC) and additional constructs (TR, HM and PIT) positively influence MAI, while PCR negatively impacts it.

This research enhances the existing body of knowledge by providing a deeper insight into metaverse adoption among hospitality consumers in India. The proposed framework provides a more nuanced perspective on metaverse adoption, extending beyond conventional technological factors.

This study is distinctive in its integration of four additional constructs- PCR, TR, PIT and HM- into the original UTAUT model, thereby addressing a gap in the existing literature. Furthermore, it advances the understanding of the metaverse by identifying key antecedents influencing MAI among Indian hospitality consumers.

This study aims to investigate the role of aesthetically appealing product design in the context of product failure, focusing on the concept of “beauty premium” and “beauty penalty”. This study seeks to determine whether beauty premium, which emerges prior to product failure, can serve as a protective mechanism for firms facing adverse events and, if not, to elucidate the conditions under which beauty premium transitions into beauty penalty.

The research uses a multi-method approach, combining experiments with empirical analysis using data from the US automobile market, specifically focusing on product recalls. The experiments are designed to establish internal validity, whereas empirical data offers insights into real-world contexts. This study considers the role of emotional and cognitive responses of consumers to visual design and explores the influence of gravity on product failures.

The findings reveal that beauty premium persists after product failure when consumers emotionally respond to visual design. However, beauty premium turns into beauty penalty (i.e. more visually attractive designs exacerbate the decline in purchase intention after product failure) when a product failure is severe and when consumers evaluate visual design cognitively.

This research extends the theoretical understanding of the interplay between visual design, consumers’ cognitive and emotional responses and product failure. It introduces beauty premium and beauty penalty, shedding light on the effects of aesthetics in both pre- and postproduct failure conditions.

This research offers practical guidance for brand managers and product designers. It is essential to maintain functional expectations and aesthetics to secure brand loyalty, especially for consumers who evaluate products cognitively in product failure cases.

This research offers unique contributions. It uncovers the protective role of visual aesthetics in mitigating the loss of consumer purchase intention and sales postproduct failure. It challenges the conventional belief that aesthetically appealing design always yields positive outcomes, introducing the possibility of beauty premium transitioning into beauty penalty. It sheds light on the dynamic relationship between product design, product failure and consumers’ emotional and cognitive responses, providing valuable insights for brand managers, product designers and marketing practitioners in an ever-evolving consumer landscape.

Based on Indian conceptualisation of workplace spirituality, this study aims to examine the linkage between four dimensions of workplace spirituality (swadharma, authenticity, lokasangraha and sense of community) and work-to-family (WTF) enrichment. It also explored the mediating effect of psychological and social capital and the moderating effect of gratitude.

A sample of 387 women employees of Indian hospitality industry was collected in three waves. The collected data were analysed in three stages. Firstly, reliability, validity and multicollinearity were assessed using appropriate statistical measures like Cronbach’s alpha, composite reliability and average variance explained. Secondly, the relationship between four dimensions of workplace spirituality and WTF enrichment were examined using correlation and hierarchical regression. Several demographic variables like marital status, age, experience and income level were controlled. Thirdly, the moderating effect of gratitude and mediating effects of psychological and social capital were analysed using PROCESS macro.

The results showed adequate reliability and validity estimates. Also, four dimensions of Indian workplace spirituality were significantly related to WTF enrichment with these dimensions of workplace spirituality collectively explaining 46.8% variations in WTF enrichment. The results also concluded significant meditating effect of psychological and social capital. It also asserted significant moderating effect of gratitude.

The study is based on longitudinal data collected to test seven hypotheses of the study.

Artificial intelligence (AI) has profoundly reshaped financial decision-making, introducing a paradigm shift in how institutions and individuals navigate the complex finance landscape. The study evaluates the significant impact of integrating advanced AI and large language models (LLMs) in financial decision analytics.

The study offers FinSageNet, a novel framework designed and tested to harness the potential of LLMs in financial decisions. The framework excels in handling and analyzing large volumes of numerical and textual data through advanced data mining techniques.

FinSageNet demonstrates exceptional text summarization capabilities, outperforming models like FLAN and GPT-3.5 in Rouge score metrics. The proposed model has shown more accuracy than generic models.

The study emphasizes the significance of consistently updating models and adopting a comprehensive approach to integrating AI into financial decisions. This study improves our understanding of how artificial intelligence transforms financial analytics and decision-making processes.

The purpose of this paper is to gain deeper understanding of the online food ordering behavior of the Generation Z when ordering food online, and their attention towards nutrition information provided on menus. Their state of hunger was used as a moderating variable to also understand if this state altered their level of attention.

Data were collected from 181 university students belonging to Gen Z in the city of Pune in India, with the help of the Tobii (Model: X2-30), a screen-based eye-tracking device. Participants were invited through their university and offered to participate. The sample comprised both, male and female students in different states of being hungry versus being satiated. An AI-powered eye-tracking visual analytics tool was used to analyze the relevant eye-tracking metrics.

Calorie and nutritional information on menus did not alter attention of Gen Z consumers’ even among those who claimed to be conscious of their calorie and nutrition intake. This suggests an attitude–behavior gap towards nutrition consciousness. The same was the case among participants claiming to be conscious of nutrition who were satiated, compared to those who were hungry.

The study highlights the need for innovative strategies to effectively communicate nutritional information to Generation Z. Marketers should consider redesigning menu styles and content to make nutritional details more engaging and intuitive. Furthermore, leveraging neuromarketing tools can help identify subconscious consumer preferences. Health professionals and policymakers can use these insights to bridge the attitude–behavior gap in nutrition consciousness, ensuring that nutritional awareness campaigns resonate better with Gen Z, regardless of their hunger state.

Findings accentuate the need to re-assess style and content towards targeting Gen Z students in India with nutritional information to draw greater attention.

This study reveals a critical gap in the attention Generation Z pays to nutritional information, emphasizing the need for socially impactful strategies to foster healthier food choices. Educational institutions and public health campaigns can leverage these findings to design more engaging and effective nutritional education programs tailored to Gen Z’s preferences. By understanding the subconscious drivers of food choices, society can promote healthier eating habits and combat rising health issues like obesity and malnutrition. Moreover, incorporating technology-driven insights into public health initiatives can improve the relevance and impact of interventions, encouraging a more health-conscious future generation.

Eye-tracking and an AI-based eye-tracking visual analytics tool has been used for the first time to comprehend the attitudes and behaviors displayed by Generation Z students when ordering food online and delve deeper into variables of nutrition consciousness and state of hunger. Neuromarketing and eye-tracking help delve into the subconscious of consumers.