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The goal of this article is to provide an overview of healthcare entrepreneurship, both in terms of its current trends and future directions.

The article engages in a systematic review of extant research on healthcare entrepreneurship using the scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) as the review protocol and bibliometrics or scientometrics analysis as the review method.

Healthcare entrepreneurship research has fared reasonably well in terms of publication productivity and impact, with diverse contributions coming from authors, institutions and countries, as well as a range of monetary and non-monetary support from funders and journals. The (eight) major themes of healthcare entrepreneurship research revolve around innovation and leadership, disruption and technology, entrepreneurship models, education and empowerment, systems and services, orientations and opportunities, choices and freedom and policy and impact.

The article establishes healthcare entrepreneurship as a promising field of academic research and professional practice that leverages the power of entrepreneurship to advance the state of healthcare.

The article offers a seminal state of the art of healthcare entrepreneurship research.

This paper attempts to investigate the approaches used for implementing total quality management (TQM) practices and study its impact on ABC India Limited (Name changed), a tyre manufacturing industry for realizing leadership in the Indian market. The other objectives are to explore the key issues faced by the company before TQM and study the benefits achieved after TQM implementation.

A conceptual case study research methodology has been utilized in this paper. The industry was facing some major business challenges such as low productivity, financial issues and low market presence since 1996. To overcome these issues, the top management of the industry adopted TQM as a business improvement tool and started its implementation in 2008.

A good number of improvement initiatives under four TQM approaches such as management approach, development approach, improvement approach and involvement approach were performed systematically and strategically. As a result of the successful implementation of TQM initiatives, the industry received the most prestigious quality award namely Deming Prize in 2017.

With the implementation of the TQM philosophy in the industry, it gained the top market position, the customer satisfaction score increased from 75 to 81, market presence increased from 7.2% to 26.3% and the percentage participation of employees increased by 73.5% within a period from 2009 to 2016.

The novelty of this research is to consider a case-based approach that will be helpful in promoting the utilization of the TQM philosophy in other industries for gaining competitive advantages.

This study aims to revisit the properties of 24-item version of mindfulness scale proposed by Bohlmeijer et al. (2011) in an Indian context to add to the existing global knowledge base on mindfulness.

A questionnaire was administered to 531 adult employees working in the IT/ITES sector in India. Their responses were analysed using exploratory factor analysis (EFA), confirmatory factor analysis (CFA) and validity statistics to validate the Indian adaptation of the five-facet mindfulness questionnaire (FFMQ).

The findings confirmed that the Indian version of the 24-item short form of the FFMQ (denoted as FFMQ-SF) matches the findings of Bohlmeijer et al. (2011). It can, therefore, provide valuable insights to both employees and management on the benefits of mindfulness in the workplace.

This paper also presents the limitations of this work along with scholarly and practical implications. It enhances the global understanding of mindfulness, with applications in education, health and well-being, workplaces, social justice, spirituality and personal growth.

This study justifies and presents a unique instrument for assessing employee mindfulness and is beneficial for both management and employees in navigating the evolving hybrid work environment. It promotes present-moment awareness in a non-judgemental manner, facilitating perspective shifts, improved self-regulation and experiential acceptance. Additionally, the study affirms the five-dimensional structure underlying the mindfulness construct.

The purpose of this paper is to investigate the impact of entrepreneurial orientation and total quality management on quality performance of pharmaceutical manufacturers in Pakistan. It also investigates the mediating role played by total quality management in the EO-QP relationship.

A structured questionnaire was used to collect data from 115 pharmaceutical manufacturers in Pakistan. Partial least squares structural equation modeling was used to analyze data.

The results show entrepreneurial orientation that and total quality management positively and significantly affect quality performance. Moreover, the effect of entrepreneurial orientation on quality performance is partially mediated by total quality management.

The study uses cross-sectional data. Therefore, the long-term effect of entrepreneurial orientation and total quality management on quality performance could not be determined. Moreover, quality performance has been measured based on perceptual data, which may be prone to biases, entrepreneurial orientation (EO), quality performance (QP), total quality management (TQM).

The study is unique in providing empirical evidence linking entrepreneurial orientation with quality performance through the mediating role of total quality management. Quality performance is vital in the pharmaceutical industry; thus, the study makes a valuable contribution by identifying a new mechanism to achieve it. Moreover, although both entrepreneurial orientation and total quality management are very important, only a few studies have so far investigated their interrelationship. By providing evidence from a new cultural and industrial context, the study makes a valuable contribution to an under-researched yet important area.

The purpose of this paper is to demonstrate the erosion performance of coated and uncoated surfaces of glass fibre-reinforced polymers (GFRP) wind turbine blade material using Taguchi's approach. Taguchi's array (L25) optimized erosion wear by varying three parameters: impact velocity, impact angle and run time across five levels.

The studies were carried out using a whirling arm rig tester with an impact velocity range of 30–70 m/s (metre per second), an impact angle of 0–90 degree and a run time of 30–90 min. Salt water is used as an erosion agent to replicate the offshore environment. Taguchi's method was used to optimize the process parameters.

The results showed that erosion is less on the coated surface than on the uncoated surface. When compared to other factors, impact velocity was determined to be the most dominant, whereas run time was the least dominant. In addition, GFRP wind turbine blade material exhibits a ductile erosion process. Furthermore, in all experimental trials less erosion was observed on coated surfaces as compared to uncoated surfaces.

Few researches have been done using different design of experiment techniques to optimize the erosion wear response of uncoated GFRP materials and coatings based on polyurethane. Furthermore, mechanism of the erosion and morphology of both surface conditions was investigated using scanning electron microscopy, X-ray diffraction, energy dispersive X-ray spectroscopy testing and Minitab software.

This study introduces a novel approach to conducting importance-performance analysis (IPA) and importance-performance competitor analysis (IPCA) by utilizing online reviews as an alternative to traditional survey-based marketing research.

In order to conduct IPA and IPCA utilizing online reviews, the following three steps were executed: (1) Extract key attributes of the product/service with latent Dirichlet allocation (LDA) topic modeling. (2) Measure the importance of each attribute with keyword analysis. (3) Measure the performance of each attribute with KoBERT-based sentiment analysis.

By utilizing LDA, we were able to identify significant attributes identified by real users’ reviews. The approach of evaluating attribute importance using keyword metrics offers the advantage of straightforward computations, reducing computational expenses and facilitating intuitive metric assessments. The evaluation of BERT-based performance involved adapting pre-trained language models to the specific analysis domain, resulting in substantial time savings without compromising accuracy, ultimately bolstering the dependability of the metrics. Lastly, the case study’s findings indicate a growing emphasis on the aesthetic aspects of mobile banking apps in South Korea while highlighting the pressing need for enhancements in critical areas such as stability and security, which are particularly pertinent to the finance industry.

Previous studies have limitations in assessing significance solely based on sentiment scores and review ratings, resulting in an inability to independently measure satisfaction and importance metrics. This research addresses these limitations by introducing a keyword frequency-based importance metric, enhancing the accuracy and suitability of these measurements independently. In the context of performance measurement, this study utilizes pre-trained large language models (LLMs), which provide a cost-effective alternative to previous methods while preserving measurement accuracy. Additionally, this approach demonstrates the potential for industry-wide competitive analysis by enabling comparisons among multiple competitors. Furthermore, the study extends the application of review data-based IPA and IPCA, traditionally used in the tourism sector, to the evaluation of financial mobile applications. This innovation expands the scope of these methodologies, indicating their potential applicability across various industries.

The purpose of this study is to perform bibliometric analysis to systematically and comprehensively examine the current landscape of digital knowledge, integration and performance in the transformation of sustainability accounting, reporting and assurance.

This research uses a systematic literature review, following the Scientific Procedures and Rationales for Systematic Literature Review protocol and uses various bibliometric and performance analytical methods. These include annual scientific production analysis, journal analysis, keyword cooccurrence analysis, keyword clustering, knowledge gap analysis and future research direction identification to evaluate the existing literature thoroughly.

The analysis reveals significant insights into the transformative impact of digital technologies on sustainability practices. Annual scientific production and journal analyses highlight key contributors to the adoption of digital technologies in sustainability accounting, reporting and assurance. Keyword cooccurrence analyses have identified key themes in sustainability accounting, reporting and assurance, highlighting the transformative role of digital technologies such as artificial intelligence (AI), blockchain, Internet of Things (IoT) and big data. These technologies enhance corporate accountability, transparency and sustainability by automating processes and improving data accuracy. The integration of these technologies supports environmental, social and governance (ESG) reporting, circular economy initiatives and strategic decision-making, fostering economic, social and environmental sustainability. Cluster-by-coupling analyses delve into nine broader revealing that IoT improves ESG report accuracy, eXtensible Business Reporting Language structures ESG data and AI enhances life cycle assessments and reporting authenticity. In addition, digital transformation impacts environmental performance, big data optimizes resource use and edge computing improves eco-efficiency. Furthermore, this study identifies avenues for future research to advance the understanding and implementation of digital technology in sustainability accounting, reporting and assurance practices.

Academically, this research enriches the understanding of how digital technologies shape sustainability practices and identifies gaps in digital knowledge and integration. Practically, it provides actionable insights for organizations to improve sustainability reporting and performance by effectively leveraging these technologies. Policy-wise, the findings advocate for frameworks supporting the effective implementation of these technologies, ensuring alignment with global sustainability goals.

This study offers a detailed analysis of the performance and intellectual framework of research on implementing digital technology in sustainability accounting, reporting and assurance. It highlights the evolving research landscape and emphasizes the need for further investigation into how emerging technologies can be leveraged to achieve sustainability goals.

India liberalized its economy in 1991, which resulted in intense global competition, quality-conscious and demanding customers. Additionally, significant technological advancements lead to enhancements in products and processes. These forced Indian organizations to adopt innovative business strategies in the past 30 years. Meanwhile, the Lean Six Sigma methodology has significantly grown with vast applicability during the past 30 years. Thus, the purpose of this study is to develop the learning on Lean Six Sigma methodology in the Indian context through investigation of literature.

A three-stage systematic literature review approach was adopted to investigate the literature during the present study. In total, 187 articles published in 62 journals/conference proceedings from 2005 to 2022 (18 years) were shortlisted. The first part of the article summarizes the significant milestones towards the quality journey in the Indian context, along with the evolution of the Lean Six Sigma methodology. The second part examines the shortlisted papers on Lean Six Sigma frameworks, their applicability in industrial sectors, performance metrics, outcomes realized, publication trends, authorship patterns and leading researchers from the Indian perspective.

Lean Six Sigma has emerged as a highly acclaimed and structured business improvement strategy worldwide. The Indian economy has seen remarkable growth in the past decade and is one of the fastest-growing economies in the 21st century. Lean Six Sigma implementation in India has significantly increased from 2014 onward. The study revealed that researchers have proposed several different frameworks for Lean Six Sigma implementation, the majority of which are conceptual. Furthermore, the balanced applicability of Lean Six Sigma in manufacturing and service sectors was observed with the highest implementation in the health-care sector. Additionally, the widely adopted tools, techniques along with performance metrics exploring case studies were reported along with a summary of eminent and leading researchers in the Indian context.

This study is confined to reviewed papers as per the research criteria with a significant focus on the Indian context and might have missed some papers due to the adopted papers selection strategy.

The present study is one of the initial attempts to investigate the literature published on Lean Six Sigma in the Indian context, including perspective on the Indian quality movement. Therefore, the present study will provide an understanding of Lean Six Sigma methodology in the Indian context to graduating students in engineering and management and entry-level executives. The analysis and findings on Lean Six Sigma frameworks, research approach, publications details, etc., will be helpful to potential research scholars and academia. Additionally, analysis of case studies on Lean Six Sigma implementation by Indian industries will assist the managers and professionals in decision making.

The digital disruptions have provided alternative methods of monetary transactions. Despite the digital wave, cash as a payment option has regained its position. The purpose of this research is to investigate behavioral intentions of mobile wallet (m-wallet) users. The paper explores the dynamics of perception, behavioral intention motivation and satisfaction of m-wallet users.

The authors have used a self-administered questionnaire for data collection. A total of 506 responses were analysed using confirmatory factor analysis in conjunction with Structural Equation Modeling, ensuring the validity and reliability of the insights into the behavioral dynamics of m-wallet users.

The research highlights the direct impact of perceived security on m-wallet users' perceptions, which subsequently influence both direct and indirect behavioral intentions. Moreover, satisfaction emerged as a significant determinant directly shaping behavioral intentions.

This study contributes significantly to the existing literature by offering a comprehensive understanding of the factors driving m-wallet adoption and usage intentions, thereby equipping stakeholders and policymakers with the necessary tools to devise effective strategies to promote mobile payment technologies in North India. The study employs a multifaceted model that incorporates six key elements, providing a comprehensive understanding of the complex interrelationships among these variables.