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This study aims to uncover the theoretical role and the effects of mindfulness on psychological strain as well as job satisfaction among young German employees. The study took place during the COVID-19 pandemic, which was a stressful time for German employees. Thus, the role of mindfulness should be explained.

A sample of 198 participants was used for analysing the relationships by applying partial least squares structural equal modelling.

This study highlights that, in the working context, mindfulness was statistically significantly and negatively related to psychological strain (ß = −0.498, p < 0.000) and positively as well as statistically significantly related to job satisfaction (ß = 0.263, p < 0.000). Furthermore, psychological strain is negatively but statistically significant related to job satisfaction (ß = −0.207, p < 0.017). Additionally, psychological strain mediates the relationship between mindfulness and job satisfaction positively and significantly (ß = 0.103, p < 0.026).

This study contributes by firstly setting up a conceptual model that explicitly uncovers the paramount importance of mindfulness at work in relation to job satisfaction. Moreover, the authors contribute by highlighting that psychological strain is negatively affected by mindfulness. To the best of the authors knowledge, this is the first study examining this interplay and setting up a new conceptual model.

Achieving tenure security is a global challenge impacting cities of the global south. The purpose of this paper is to evaluate the role of technology-enabled solutions as an enabler for the tenure rights of slum dwellers.

In this paper, we adopted a case study approach to analyze the use cases for technologies aiding India’s securitization of land tenure. The flagship state mission of Odisha, named the Jaga Mission, and that of Punjab, named BASERA – the Chief Minister’s Slum Development Program – were used as cases for this paper.

It was found that technologies like drone imagery and digital surveys fast-tracked the data collection and helped in mapping the slums with accuracy, mitigating human errors arising during measurement – a necessary condition for ensuring de jure tenure security. The adoption of a technology-based solution, along with a suitable policy and legal framework, has helped in the distribution of secure land titles to the slum dwellers in these states.

Odisha’s and Punjab’s journey in using technology to enable tenure security for its urban poor residents can serve as a model for the cities of the global south, dealing with the challenges of providing secure tenure and property rights.

The heritage and tourist attractiveness of Heritage Cities have aroused interest in establishing mechanisms to enhance their value based on the development of sustainability policies. The socioeconomic and socioenvironmental valuation of these heritage sites has become a necessary tool for decision-making.

Following the recommendations of International Council on Monuments and Sites – ICOMOS, this paper proposes a series of indicators and an exploratory model to define the factors that contribute to their valuation. Following the partial least squares structural equation modelling methodology, information was obtained from 363 intramural residents in the three Heritage Cities that currently have management plans in Spain.

The results show the importance of specifying indicators of sustainable mobility and socioeconomic and socioenvironmental sustainability for an adequate valorisation of heritage sites.

To this end, it is necessary to follow the guidelines of international bodies such as ICOMOS in relation to the management plans.

This study aims to investigate the effects of smart tourism technology experience (STTE) on tourist satisfaction and happiness in Bordeaux, with a focus on understanding the mediating role of self-gratification. By examining these relationships, the study seeks to provide insights into how smart tourism technologies can enhance tourist experiences.

The study uses partial least squares-structural equation modeling (PLS-SEM) to analyze data collected from 380 tourists who visited Bordeaux. The measurement model assesses reliability and validity, while the structural model evaluates the proposed hypotheses and the mediation effects of self-gratification.

The results confirm that STTE positively impacts tourist satisfaction, with accessibility, informativeness and personalization significantly enhancing tourist satisfaction, while interactivity does not. Tourist satisfaction, in turn, positively affects tourist happiness. Furthermore, self-gratification partially mediates the relationship between tourist satisfaction and happiness, highlighting its importance in the smart tourism context.

This research extends the understanding of STTE by demonstrating its effects on tourist satisfaction and happiness. It introduces the mediating role of self-gratification, providing a novel perspective on how personalized smart tourism experiences contribute to overall tourist happiness.

The purpose of this study is to undertake a systematic literature review (SLR) on intellectual capital disclosure (ICD), focusing on its role in fostering competitive advantage.

Following the SLR process, the study identified 84 papers published in high-ranking journals over a 19-year span, providing insights into descriptive outcomes, research limitations and future research directions.

The results show that ICD research peaked in 2022, with the Journal of Intellectual Capital leading with the highest number of ICD publications. Resource-based theory was found to be the most applied theoretical framework, with developed country-specific research receiving the most attention. The use of small sample size, a lack of longitudinal studies, reliance on a single source of data, unsuitability of control variables and a lack of comparative studies with firms operating in developing countries are the main limitations that have been noted.

This study faces constraints, primarily stemming from the selective keyword utilization and exclusive Scopus database reliance. It omits non-English papers, conference proceedings and books, potentially overlooking relevant insights.

The findings offer valuable insight for researchers, emphasizing the need for research on intellectual capital (IC) across diverse industries. Furthermore, our findings urge regulators to mandate global IC reporting to mitigate information asymmetry, while also prompting managers to enhance IC-related practices and reporting for more stakeholders’ trust.

This study provides a comprehensive overview of over two decades of ICD literature, synthesizing previous studies, identifying gaps and outlining potential directions for scholars and industry professionals in the context of competitiveness.

This study aims to contribute to the scholarly discourse on the future of money, particularly within the context of Islamic principles. The focus is on examining the intricate intersections of financial development, technological advancements and the emerging metaverse. The research intends to explore the holistic framework encompassing regulatory dynamics, technological infrastructure, consumer trust, Sharia compliance and the metaverse.

The research design incorporates a comprehensive approach, using various elements such as regulatory dynamics, technological infrastructure, consumer trust, Sharia compliance and the metaverse. Data collection involves a questionnaire administered to 318 respondents in the UAE. The methodology uses structural equation modeling – partial least squares (SEM-PLS) to assess the research model and test hypotheses.

The results from the Smart PLS path analysis indicate noteworthy findings. There are significant impacts of fintech adoption, regulatory environments, technological infrastructure and customer trust on the competitiveness of Fintech solutions. Importantly, Sharia compliance emerges as a crucial contextual filter, influencing the interplay between Sharia compliance, fintech adoption and fintech competitiveness. The study provides theoretical insights by emphasizing the pivotal role of Sharia compliance in the dynamics of fintech adoption.

This study contributes original insights to the existing body of knowledge. By exploring the multifaceted connections between financial development, technological advancements and the metaverse within the Islamic context, the research offers a unique and comprehensive perspective. The emphasis on the holistic framework that considers regulatory dynamics, technological infrastructure, consumer trust and Sharia compliance adds originality to the understanding of factors influencing the competition and sustainability of Islamic fintech solutions in the UAE.

Recently, machine learning (ML) methods gained popularity in finance and accounting research as alternatives to econometric analysis. Their success in high-dimensional settings is promising as a cure for the shortcomings of econometric analysis. The purpose of this study is to prove further the relationship between intellectual capital (IC) efficiency and firm performance using ML methods.

This study used the double selection, partialing-out and cross-fit partialing-out LASSO estimators to analyze the IC efficiency’s linear and nonlinear effects on firm performance using a sample of 2,581 North American firms from 1999 to 2021. The value-added intellectual capital (VAIC) and its components are used as indicators of IC efficiency. Firm performance is measured by return on equity, return on assets and market-to-book ratio.

The findings revealed significant connections between IC measures and firm performance. First, the VAIC, as an aggregate measure, significantly impacts both firm profitability and value. When the VAIC is decomposed into its breakdowns, it is revealed that structural capital efficiency substantially affects firm value, and capital employed efficiency has the same function for firm profitability. In contrast to the prevalent belief in the area, human capital efficiency’s impact is found to be less important than the others. Nonlinearities are also detected in the relationships.

As ML tools are most recently introduced to the IC literature, only a few studies have used them to expand the current knowledge. However, none of these studies investigated the role of IC as a determinant of firm performance. The present study fills this gap in the literature by investigating the effect of IC efficiency on firm performance using supervised ML methods. It also provides a novel approach by comparing the estimation results of three LASSO estimators. To the best of the author’s knowledge, this is the first study that has used LASSO in IC research.

This paper aims to clarify the relationship between digital transformation and labor structure from the perspectives of microenterprise business strategies and factor allocation efficiency. It attempts to address the gap in existing research by explaining the impact of digital transformation on multidimensional workforce structures and the positive effects of this structural adjustment on labor allocation efficiency. In addition, the study further explores the economic ramifications of digital transformation, clarifying the correlation between changes in labor force structure and enterprise human resource allocation, thus enhancing the employment mobility effects of digital innovation at the enterprise level.

In contrast to prior research, our approach uses text analytics to assess the internal labor structure, incorporating labor skill, position and age into the analytical framework. This approach yields a more comprehensive data set, shedding light on variations in multidimensional employment structures.

The paper asserts that digital transformation significantly influences labor structure changes, evidenced by increased proportions of high-skilled, non-routine and younger laborers, as well as decreased shares of low-skilled, routine and older-age workers. Furthermore, it captures internal labor structure impacts, influenced by enterprise size, ownership, industry density and regional digitization levels. Mechanism analysis indicates moderation of digital transformation effects on labor structure by innovative tasks, labor productivity and management shareholding.

The paper reveals the specific impact of corporate digital transformation on workforce structure, enriching the employment mobility effects of digital innovation at the enterprise level and providing theoretical support for the formulation and implementation of relevant policies.

First, this paper delves into the impact of digital transformation on the internal labor structure from a microlevel perspective, elucidating its mechanisms. Second, in contrast to prior research, it uses text analytics to assess the internal labor structure, incorporating labor skill, position and age into the analytical framework. This approach yields a more comprehensive data set, shedding light on variations in multidimensional employment structures. Lastly, the study investigates the economic ramifications of shifts in employment structures. The findings of this study furnish novel empirical evidence for the debate regarding whether digital transformation can indeed enhance labor allocation efficiency.

This study was inspired by research of strategists on strategic innovation (SI), aiming to provide a unique model to enhance the digitization of small and medium-sized enterprises (SMEs) in Bangladesh to fill the gap toward a digital economy.

A survey was used to collect data from 180 SMEs in the manufacturing industry for this research. The results indicate that strategic innovativeness (SI), human capital (HC), infrastructure and technology and resistance to change significantly influence the digitalization in Bangladesh SMEs.

The link between SI and SMEs' digitalization in Bangladesh is mediated by HC. The results show that HC plays a big role in the connection between SI and the digitalization of SMEs. This study may be valuable for SMEs managers, researchers and policymakers in Bangladesh and other developing nations, who want to learn more about SI in adopting digitalization.

The specialized knowledge and abilities of strategists allow them to establish parallels between the past and present, enabling them to make a sustained forecast about the digital economy. This study encourages small and medium-sized businesses to develop their SI and advance their HC, which could further deject resistance to change toward enhancing and adopting digitalization in SMEs sectors.

This study developed new measures of the routine and non-routine task contents of managerial, professional, technical, and clerical occupations from a workload perspective. Here, we present a comparative analysis of the workload structures of state and industrial sector employees.

Our method involves detailed descriptions of work processes and an element-wise time study. We collected and analysed data to obtain a workload structure that falls within three conceptual task categories: (i) non-routine analytic tasks, (ii) non-routine interactive tasks and (iii) routine cognitive tasks. A total of 2,312 state and industrial sector employees in Kazakhstan participated in the study. The data were collected using a proprietary web application that resembles a timesheet.

The study results are consistent with the general trend reported by previous studies: the higher the job level, the lower the occupation’s routine task content. In addition, the routine cognitive task contents of managerial, professional, technical, and clerical occupations in the industrial sector are higher than those in local governments. The work of women is also more routinary than that of men. Finally, vthe routine cognitive task contents of occupations in administrative units are higher than those of occupations in substantive units.

Our study sought to address the challenges of using the task-based approach associated with measuring tasks by introducing a new measurement framework. The main advantage of our task measures is a direct approach to assessing workloads consisting of routine tasks, which allows for an accurate estimation of potential staff reductions due to the automation of work processes.