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The purpose of this research is to examine the influence of various factors on consumer purchasing actions within the realm of organic food. Specifically, it aims to understand how hedonic value, trust, utilitarian value, purchasing experience and consumer intention affect purchasing behavior, with accessibility acting as a mediating factor.

The research employs a quantitative methodology, utilizing a meticulously crafted questionnaire for data collection. Descriptive analysis is conducted using the statistical package SPSS. For hypothesis validation, the study applies partial least squares structural equation modeling (PLS-SEM).

The findings reveal that all independent factors (hedonic value, trust, utilitarian value, purchasing experience and consumer intention) significantly impact purchasing behavior either directly or indirectly through accessibility. Trust and consumer intention are identified as the most potent predictors of purchasing behavior, highlighting their crucial role in influencing consumer choices.

This study provides valuable insights for marketing professionals and policymakers aiming to encourage the consumption of organic food. It emphasizes the importance of improving accessibility and leveraging key determinants such as trust and consumer intention to shape consumer purchasing behavior. The comprehensive analysis of these factors offers a novel perspective on promoting organic food consumption.

The purpose of this research is to examine the potential impact of technologies on enhancing the efficiency and effectiveness of supply chain performance inside healthcare organizations, with a particular focus on cost and quality improvement.

The present investigation employs the survey method to examine the research hypothesis and objective. A total of 630 surveys were collected using an online platform, all of which were deemed to be valid. The gathered data were analyzed using SPSS version 20.0 and Smart-PLS version 3.0 software.

The finding represents a holistic investigation into Industry 4.0 technologies, quality management practices, supply chain performance and organizational performance is essential for the healthcare industry’s evolution. Embracing these elements collectively has the potential to redefine healthcare delivery, improve patient outcomes and drive operational excellence. The results seek to shed light on the broader implications for enhancing patient care, optimizing resources and improving organizational effectiveness within the evolving landscape of Industry 4.0-driven healthcare environments.

Exploration of the incorporation of Industry 4.0 technologies within the healthcare domain has the potential to augment operational efficacy, patient care and data administration. Examination of the repercussions of these technologies on quality management procedures in healthcare environments imparts an understanding of the enhancement of healthcare service quality and patient outcomes.

Implementing Industry 4.0 technologies, which encompass Internet of Things devices and analytics driven by artificial intelligence, within the healthcare sector has the potential to streamline operational procedures, minimize errors and optimize resource distribution. This, in turn, may result in heightened precision of diagnostic procedures, refined treatment strategies and an overall enhancement in the quality of care provided to patients.

There exist certain constraints inherent to this study. In the initial instance, the data were gathered from moderately sizable medical institutions situated within India. As the present investigation was conducted in India, it is possible to examine other countries in order to identify potential disparities in social conditions. Future research should consider, cross-cultural and longitudinal studies of organizational performance.

In the present investigation, the writer presents innovative research that may assist the healthcare industry in identifying the most crucial component of Industry 4.0 technologies for the relevant personnel. There is a notable relationship between the technologies of Industry 4.0 and the supply chain of healthcare, which was formerly the central focus. With a specific emphasis on big data, the Internet of things, cloud computing, blockchain, artificial intelligence and 3D printing, the authors of the current study have showcased a connection between the practice of quality management and the performance of the supply chain by employing industry 4.0 technologies. This paves the way for the healthcare sector to place a heightened emphasis on organizational performance.