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Waiting is a ubiquitous constituent of many purchase situations. This research investigates the emotional discomfort experienced by customers visiting retail stores in India throughout the checkout process, focusing on three distinct phases: before joining the queue, while waiting, and during billing. The study examines the circumstances and underlying factors that lead to emotional discomfort among customers while they wait at the checkout counter. A cross-sectional survey involving 385 participants was undertaken to evaluate perceptions related to the waiting experience. Structural Equation Modeling (SEM) was utilized to validate the conceptual model. The study uncovers diverse contributors to emotional discomfort during queueing, such as extended wait times, physical constraints, and perceived time prolongation, highlighting the multifaceted nature of this experience. Notably, the absence of a significant link between emotional discomfort and overall satisfaction implies that, while emotional discomfort is a factor, other elements such as pricing, promotions, and product offerings may exert a more significant influence on customers’ comprehensive satisfaction assessments. The research makes a significant contribution by shedding light on the challenges associated with prolonged waiting times at checkout counters in multi-brand food and grocery retailers. The results provide valuable insights into the emotional experiences of customers during waits and their impact on overall shopping satisfaction.

Waiting is a ubiquitous constituent of many purchase situations. This research investigates the emotional discomfort experienced by customers visiting retail stores in India throughout the checkout process, focusing on three distinct phases: before joining the queue, while waiting, and during billing. The study examines the circumstances and underlying factors that lead to emotional discomfort among customers while they wait at the checkout counter. A cross-sectional survey involving 385 participants was undertaken to evaluate perceptions related to the waiting experience. Structural Equation Modeling (SEM) was utilized to validate the conceptual model. The study uncovers diverse contributors to emotional discomfort during queueing, such as extended wait times, physical constraints, and perceived time prolongation, highlighting the multifaceted nature of this experience. Notably, the absence of a significant link between emotional discomfort and overall satisfaction implies that, while emotional discomfort is a factor, other elements such as pricing, promotions, and product offerings may exert a more significant influence on customers' comprehensive satisfaction assessments. The research makes a significant contribution by shedding light on the challenges associated with prolonged waiting times at checkout counters in multi-brand food and grocery retailers. The results provide valuable insights into the emotional experiences of customers during waits and their impact on overall shopping satisfaction. [ABSTRACT FROM AUTHOR]

Medical Tourism, a sector still in the infancy stage in India, forms a part of the global Medical Tourism corridor and is acknowledged in the itinerary of any medical tourist. This paper intends to explore the scope of Medical Tourism in the developing cities of India. It aims to investigate the reasons for low medical tourism penetration despite possessing all the competitive advantages vital for a medical tourism destination. A survey conducted at 21 hospitals in Mangalore uncovered the extent of awareness among healthcare workers and initiatives taken by the healthcare industry to outperform this sector. Simple random sampling was employed to arrive at the sample size and the Chi-square test was applied to analyze the data. The findings reveal promotion as a crucial element for awareness creation and show a clear linkage between awareness and the potential of Medical Tourism. The paper presents healthcare practitioners and tour operators with an insight into Medical Tourism in developing cities like Mangalore and the effective strategies imperative to excel in this sector. This study evaluates if developing cities of India have the potential to be promoted as Medical Tourism hubs reaping benefits to the economy of India. [ABSTRACT FROM AUTHOR]

Copyright of Industria Textila is the property of Institutul National de Cercetare-Dezvoltare pentru Textile si Pielarie and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the rapidly evolving technology, academics and curriculum developers experience criticism for the curriculum being outdated or unable to meet industry requirements. Additionally, the stakeholders involved in curriculum development have divergent views. Therefore, the challenges lie with academicians imparting the necessary skills and preparing the students to be industry-ready. This study takes a closer investigation of the predecessors of the curriculum gap and classifies it into preceding gaps, viz. information gap, benchmarking gap, perception gap, and learning gap. Prior research has focused on overcoming the curriculum gap, while the current study attempts to propose a framework for methodically identifying the curriculum gap. The paper follows online desk research. The framework is developed based on the multidisciplinary literature and thus provide a comprehensive view of the curriculum gap. Hence the study relies heavily on secondary sources of data. The framework transpired from the literature survey of engineering, management, accounting, nursing, and medical sciences disciplines. It, therefore, lacked affiliation to a specific field of study. Also, the stakeholder's role in the framework may not be appropriate in all contexts as their functions vary within a subject domain and may not exist in some cases. A systematic investigation of the curriculum gap will emphasise the shortcomings in the curriculum, which will assist the faculty in moulding their subject to meet the expectations of stakeholders. The proposed framework aims to expedite the collaboration between the stakeholders and develop a shared vision among all affected. Furthermore, the framework presented benefits academics and curriculum developers by bettering the courses offered and bridging the academia-industry skills gap. [ABSTRACT FROM AUTHOR]

India is the major producer of Areca nut in the world. Volatile demand and price are the major challenges for the Areca nut growers in India. The use of time series models to manage the price risk has become the interest of academicians today. This paper deals with developing an appropriate model to predict the prices of a new variety of Areca nut in Karnataka using monthly price data for the period January 2009 to December 2018. Box Jenkins ARIMA methodology is used to develop the model. Along with ARIMA estimates, log-likelihood, Akaike's information criterion (AIC) and Bayesian (BIC) information criterion statistics are also estimated to decide on the appropriate model. ACF and PACF correlograms for residuals of ARIMA are used to do the diagnostic check of the selected ARIMA model. Appropriate model to forecast the new variety Areca nut price is ARIMA (3, 1, 3). [ABSTRACT FROM AUTHOR]

Copyright of Industria Textila is the property of Institutul National de Cercetare-Dezvoltare pentru Textile si Pielarie and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)