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The purpose of this paper is to integrate the notions of management control systems (MCS), mindfulness and sustainability, and introduce a framework demonstrating how sustainability outcomes – specifically occupational health and safety (OHS) improvements – can be accomplished by incorporating mindfulness-based interventions (or mindfulness-based training) as an effective MCS enabler.

The authors have conducted an integrative literature review to synthesize the knowledge of the mindfulness, sustainability and MCS literatures with a specific focus on OHS.

The findings revealed that there is a dearth of research that has investigated the potential linkages between mindfulness, MCS and sustainability. While some studies have explored the role of MCS in promoting sustainability and corporate social responsibility concepts, as well as the linkages between mindfulness and sustainability, this paper specifically looked at how mindfulness-based interventions can be applied in the organizational context to enhance OHS sustainability outcomes.

This paper introduces a framework that shows how mindfulness-based interventions, as a means of MCS, can be used to enhance desired OHS sustainability outcomes.

This paper extends the sustainability, mindfulness and MCS literature by explicating how mindfulness-based interventions can be used as one of the key MCS enablers that support sustainability and OHS outcomes. Accordingly, the authors argue that this is one of the few early review papers that have investigated the potential connections between mindfulness, sustainability and MCS in the OHS context.

The purpose of this paper is to critically examine the existing literature on workplace mindfulness and suggest positive organizational behavior (POB) scholarship as a suitable domain to understand the scientific and secular nature of mindfulness.

This conceptual paper is based on the critical analysis of the literature on POB and contemporary mindfulness at work. This paper highlights the limitations of workplace mindfulness in terms of its research and practice. Then, the limitations of workplace mindfulness are analyzed in relation to POB scholarship to suggest a way forward for research and practice.

The findings imply that contemporary mindfulness meets the inclusion criteria of psychological capital and thus it can be adopted and investigated in the workplace using the POB scholarship.

It suggests implications for research and practice by considering mindfulness as a psychological capital construct in the workplace context.

Mindfulness is an interesting topic for organizational researchers, and many organizations are adopting mindfulness to improve their workplace functioning. In recent years, scholars have highlighted potential ethical issues with the adoption of the spiritual and religious nature of mindfulness for workplace benefits. In this regard, the understanding of the scientific and secular nature of mindfulness is limited in organizational literature. This paper advances the knowledge of the literature on contemporary mindfulness and POB and argues the importance of the inclusion of mindfulness in psychological capital.

Introduction: India has the 15th-largest domestic natural gas consumption (NGC), critical to sustainable economic growth. Promoting natural gas will have a crucial impact on production in all industries.

Purpose: This research gives an overview of NGC and gross domestic product (GDP) in India from 1990 to 2021 and investigates the association and nature of causality between NGC and GDP in India.

Methodology: For the years 1990 through 2021, we used annual statistics from the NGC and the GDP of India. Both research variables data have been taken from the World Bank Indicator.

Findings: There is no causality and correlation between natural gas and GDP in India.

Practical Implications: Based on the research, the Government of India can create different policies for substituting natural gas for other energy sources to have a healthier impact on a sustainable environment in the short and long term. In the future, researchers can work on environmental degradation and GDP.

Halal logistics play a crucial role in maintaining a product’s “halal integrity” from farm to fork. These logistics operations are exposed to risks during transportation, storage and handling, that negatively affect the halal supply chain’s operational efficiency and integrity. Therefore, the main purpose of this research is to propose a risk assessment framework for halal logistics.

Initially, the risks associated with halal logistics are identified through an extensive literature review, and then the significant ones are validated with the expert’s input. After that, an appropriate multicriteria decision-making method named best worst method (BWM) is used to prioritise the identified risks. Finally, the robustness of the obtained ranking is assessed with sensitivity analysis.

This research identifies 26 halal logistics risks and then categorises these risks into 6 significant dimensions and proposes a framework. The result obtained from the BWM analysis shows that organisational, transportation and design risks are the primary risks present in halal logistics. Among the halal logistics risks, partnership risk, risk of contamination during transportation and risks of unskilled workers are the top three halal logistics risks that need to be addressed on a priority basis for maintaining halal integrity. Furthermore, this study also suggests some valuable suggestions for mitigating these risks that the logistics providers could use.

The proposed framework is helpful for the assessment of risks associated with halal logistics. The prioritisation of the identified risks supports the managers in formulating mitigation strategies that might reduce the effect of these associated risks in logistics operations.

This study focusses on halal logistics, and to the best of authors’ knowledge, this may be the first attempt to systematically examine the risks related to halal logistics.

This paper aims to examine the role of rational culture in the relationship between lean manufacturing practices and operational productivity in the machinery and equipment industry.

This study uses a cross-sectional quantitative approach to conduct the research. Using an online survey questionnaire, 118 responses were collected. SPSS was used to assess validity, reliability and hypothesis testing of the study variables. Hierarchical regression analysis was employed to investigate the moderating effects of rational culture.

The study results reveal that quick setup and quality control were significantly related to operational productivity. Rational culture was a significant quasi-moderator.

This study highlights the importance of quick setup and quality control for machinery and equipment firms to gain higher operational productivity. Rational culture could be used to drive the firms toward greater achievements in this regard.

The use of rational culture as a quasi-moderator in the relationship between lean manufacturing practices and operational productivity is unprecedented. This study offers new findings by introducing the role of rational culture to enhance the effects of lean manufacturing practices on operational productivity.

This paper aims to investigate the correlation between banking sector non-performing loans (NPLs) and the level of sustainable development.

Pearson correlation test statistic was used to assess the correlation between bank NPLs and sustainable development.

There is a significant positive correlation between banking sector NPLs and the level of sustainable development measured by the sustainable development index (SDI). The significant positive correlation is evident in European countries and in countries in the region of the Americas. There is a significant negative correlation between banking sector NPLs and achieving SDG3 and SDG7 in African countries and European countries. There is also a significant negative correlation between NPLs and achieving SDG10 in European countries. There is a significant positive correlation between banking sector NPLs and achieving SDG4 and SDG7 in the region of the Americas. There is also a significant positive correlation between NPLs and achieving SDG10 in African countries and in countries in the region of the Americas.

The present study is unique and different from other studies because it used a unique SDI to capture the level of sustainable development. The analysis is also unique because it covers several regions, which have not been covered in previous studies.

The adoption and usage of information and communication technology (ICT) has introduced transformation in the tourism arena with ICT applications extensively used in tourism industry. In addition to ICT, an advanced infrastructure is essential for the development of tourism industry. Thus, the goal of present research is to probe the impact of ICT and infrastructure on tourism development (TD) in 28 Asian economies using method of moments panel quantile regression (MM-QR) model introduced by Machado and Silva (2019) applied to a panel data from 2008 to 2020. Empirical findings demonstrate that there is an asymmetric non-linear effect of ICT and infrastructure through all quantile range. This indicates that ICT has negative effect on TD in poor countries while positive impact in rich countries. Negative impact in poor countries may be due to higher establishment cost and information technology (IT) productivity paradox. However, results confirm the importance of ICT and infrastructure in endorsing the development of tourism sector in Asian nations by lessening time and money costs and facilitating travelers.

This study explores the potential of artificial intelligence (AI) in fostering sustainable entrepreneurship within the tourism industry. The rapid growth of the tourism sector has raised concerns regarding its environmental impact, social equity and economic sustainability. Sustainable entrepreneurship offers a promising approach to address these challenges by integrating environmental, social and economic considerations into business practices. AI technologies, with their ability to process vast amounts of data, analyse patterns and make predictions, have the potential to support sustainable entrepreneurship initiatives in the tourism industry. By analysing the current literature, this study provides insights into the effective utilisation of AI to promote sustainable entrepreneurship in the tourism industry, while acknowledging the need for responsible and ethical AI implementation. The findings contribute to the understanding of how AI can be harnessed as a tool for driving sustainable practices and innovation in the tourism sector, ultimately leading to a more sustainable and responsible tourism industry.

This study aims to comprehensively examine the relationship between initial public offering (IPO) activities and macroeconomic factors in Sri Lanka.

This study uses principal component analysis (PCA) and autoregressive distributed lag (ARDL) techniques to examine the relationship between IPO activities and macroeconomic factors. Ten macroeconomic variables are transformed into principal components (factors) using PCA. Then, ARDL is applied to investigate the long- and short-term relationships between IPO activities and the transformed macroeconomic factors.

The empirical investigation identifies three principal factors from the ten macroeconomic variables, of which two factors have a significant long-run association with IPO activities: “return on investment (RTOI)” and “economic and market development (ECMD).” In the short run, “trade openness and banking sector development (TOBD)” and RTOI are significantly associated with IPO activities.

The study was based on 30 years of observations, which passed all diagnostic tests but may be insufficient for generalizing the findings. Future studies could use high-frequency data (monthly or quarterly) to increase the number of observations and repeat the method and analysis. Also, while the symmetrical ARDL method was used in this study, an asymmetrical ARDL method may provide more insightful results and interpretations.

The study highlights the importance of considering both long- and short-term associations when analyzing the impact of macroeconomic variables on IPO activities.

This study is the first to comprehensively examine the relationship between IPO activities and macroeconomic variables using PCA and the ARDL technique. The study provides insight into the macroeconomic factors that influence IPO activities in Sri Lanka and highlights the importance of considering long- and short-term associations.