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The present paper investigated a skim milk powder production plant with genuine human mistake for analyzing its performance in terms of its reliability, availability and maintainability (RAM) indices along with mean time between failure (MTBF) and expected number of failure (ENOF).

In the proposed work, the generalized fuzzy lambda–tau methodology has been used to carry out the analysis of the repairable structure using the improved arithmetic operations for generalized fuzzy numbers by considering the degree of confidence levels.

RAM indices along with MTBF and ENOF are obtained to increase the quality of skim milk powder manufacturing structures of a dairy plant with genuine human-mistake working conditions.

In the present paper, a mathematical model for a complex industrial system based on fuzzy has been developed. Finally, the results are more realistic and comprehensive for the decision-maker for farther application.

The purpose of this paper is to investigate the performance of a turbine structure of the oil and gas Egyptian company in terms of reliability, mean time to failure (MTTF), mean time to repair (MTTR) and mean time between failures (MTBF) under fuzzy environment and working criteria. This paper examines the impact of the failure of various components on the complete turbine structure of the oil and gas system.

To overcome the problem of uncertain behavior of available data for various components, the right triangular generalized fuzzy number (RTrGFN) is proposed to be taken into the account to express the uncertainty which attains some tolerance in data. Furthermore, reliability indices are calculated with the help of the Lambda Tau method and the arithmetic operations on right generalized triangular fuzzy numbers (RTrGFN).

This paper explores the reliability of a repairable 3 out of 4 structure of turbines and along with the other parameters namely MTTF, MTTR and MTBF; under a fuzzy environment. Failure rates and repair times are expected to be exponential. The ranking of components of the structure is being found to decide the priority for maintenance.

This paper investigates the performance of the system with different spread/tolerance like 15%, 25% and 50% of crisp data. It helps to predict realistic results in the range value. To enhance the system's performance, the most important item of the system requires greater attention. For this, the authors find the sensitive part by ranking. For ranking, an extended approach has been developed to find the sensitive unit of the system by using the right triangular generalized fuzzy number. This paper explores the most and least sensitive component of the system, which helps the maintenance department to plan the maintenance action.

The purpose of this paper is to investigate the impact of perceived abilities-motivation-opportunity (AMO framework) enhancing human resource management practices on destructive and constructive deviance through employee engagement.

Data were collected from 350 middle-level information technology employees. Structural equation modeling was applied to examine the proposed hypotheses.

Results revealed significant relationships between perceived AMO framework and destructive and constructive deviance, except for the relationship between perceived ability and destructive deviance. Furthermore, perceived AMO framework exhibited a significant positive relationship with employee engagement. Utilizing social exchange theory, results proposed partial mediation of employee engagement between perceived AMO framework and constructive and destructive deviance except for the relationship between perceived ability and destructive deviance, for which employee engagement exhibited full mediation.

This study implies that contemporary organizations must take initiatives to enhance employee engagement through the implementation of abilities, motivation and opportunities-enhancing human resource management (HRM) practices (AMO framework). Results of the study infer that motivation-enhancing HRM practices contribute highest in generating employee engagement followed by opportunity and abilities-enhancing HRM practices.

This study empirically investigates the impact of HRM bundles on both destructive and constructive deviance. Additionally, this study explores the underlying mechanism between HRM bundles and workplace deviance by assessing the mediating role of employee engagement.

This paper analyzes the impact of the perceived ability motivation opportunity (AMO) framework on talent retention via employee engagement, which act as a mediator. Moreover, the study also explores the moderating role of transformational leadership between employee engagement and talent retention.

The survey responses were gathered from 360 frontline employees of five-star hotels in the Indian hospitality industry. Structural equation modeling using SMART PLS-4 was used to test the measurement model, construct reliability and validity, and hypotheses were tested using partial-least square structural equation modeling.

The study results demonstrate that AMO-enhancing HR practices positively affect talent retention. Concerning the indirect effects, results indicate that employee engagement partially mediates the relationship between the perceived AMO framework and talent retention. The moderating effect of transformational leadership on the relationship between employee engagement and talent retention showed a significant interaction effect.

The study results suggest that hospitality organizations must focus on effectively designing and implementing HRM bundles catering to their employees’ abilities, motivation and desired opportunities. Also, industrial practitioners must focus on nurturing the transformational leadership style to ensure higher employee engagement and talent retention.

The paper offers significant implications for the hospitality industry struggling to retain talented professionals. Also, the study provides a comprehensive framework that suggests a positive influence of the AMO framework on talent retention among hospitality employees in the context of developing countries, in which there is minimal empirical research.

This research paper investigates the efficacy of artificial intelligence (AI)-powered Chatbot's in enhancing user engagement and satisfaction within various contexts. As organizations increasingly deploy Chatbot's to interact with users, understanding their impact on user experience becomes imperative. The study employs Smart partial least squares (PLS) as a robust analytical tool to assess the multifaceted dimensions of AI-powered Chatbot interactions. The research focuses on user engagement, examining the Chatbot's ability to captivate users and sustain their interest throughout interactions. Additionally, user satisfaction is explored to gauge the overall effectiveness of the Chatbot in meeting user expectations. The proposed model integrates key variables, including the Chatbot's responsiveness, conversational abilities, and problem-solving capabilities, to comprehensively evaluate its impact. The methodology involves collecting data from diverse user groups to ensure a representative sample. Smart PLS, a powerful structural equation modeling technique, is employed to analyze the relationships between the identified variables. The findings are expected to contribute valuable insights into the factors influencing user engagement and satisfaction in the context of AI-powered Chatbots. The implications of this research extend beyond theoretical understanding, offering practical recommendations for organizations seeking to optimize their Chatbot implementations. By leveraging Smart PLS, this study aims to provide a nuanced understanding of the intricate dynamics involved in AI-powered Chatbot interactions, ultimately guiding the development and deployment of more effective and user-centric conversational agents.

This chapter investigates pandemic impact in a variety of industries, including food, travel, education and pharmaceuticals, considering elements such as isolation, emotions and social influences, which can lead to panic buying. The goal of this research is to ascertain how COVID-19 influences the buying decisions of customers. Additionally, the study aims to identify consumer consumption trends for a spectrum of products and services, including fast-moving consumer goods (FMCGs), entertainment, pharmaceuticals, travel and tourism. A comprehensive review of different research papers is done to conclude. The papers considered are from 2020 to 2022. Different keywords are used to search the relevant papers such as ‘pandemic’, ‘COVID-19’, ‘behaviour’, ‘impulsive’, etc. TCCM framework has been applied while reviewing the articles. During the isolation, consumer behaviour moved to panic buying and stockpiling, favouring organic basics, and encouraging e-commerce, as well as economic nationalism favouring made-in-India products. This study helps in knowing the reasons for change in consumers' behaviour for different products and services due to unforeseeable situations like COVID-19 and can find possible ways to deal with them. Business owners learn about changing consumer purchasing behaviours and how to modify products. The government can change policies to improve medical tourism and social protection.

The purpose of this paper is to identify the input, process and output factors (along with their manifest variables) of small and medium enterprises (SMEs), and to establish cause and effect relationships amongst the factors and sub-factors. Systems thinking, a holistic approach, is used to carry out qualitative analysis of the feedback loops.

A well-structured questionnaire was developed to gather the relevant data to identify the factors affecting the performance of SMEs in a holistic manner. A total of 150 responses were collected during November 2015–March 2016. Factor analysis and path analysis were used to establish causal relationships between input, process and output factors. The systems thinking approach has been used for qualitative analysis.

Feedback loops have been identified amongst input-process-output-input factors and amongst sub-factors. They enabled authors to infer that the managers/owners of SMEs are systems thinkers, if not completely, at least partially. Six negative feedback loops and one positive feedback loop prevail. System behaviour arises out of the interaction of positive and negative feedback loops; it appears that in the long-run, the SMEs attain their target levels. The following inferences are drawn: circular relationships are identified amongst input, processes and organisational performance (OP), modern management tools such as just in times, Kanban have long-term benefits and are perceived as ineffective by small enterprises and formal financing and functional transparency enhances OP.

Systems thinking, a holistic approach, has been used to study the effect of input, process and output factors on one another. Such studies are sparse, especially, in the Indian context. Many studies have been conducted to study the effect of input and of processes on performance such as innovation, information technology, human resource, technology, government regulation on performance of SMEs in a silo but, rarely all together. The qualitative analysis adds value to the research. Many of the outcomes of the research have been largely discussed in Indian print media which indicates the pragmatic approach of the research.

Pyrus Pyrifolia (Sand Pear) is one of the most underused pear variety despite its nutraceutical potential. Therefore, this paper aims to explore the Pyrus Pyrifolia in term of origin, distribution and classification, nutritional and bioactive potential, therapeutic potential and valorization along with future prospectus.

A wide variety of publications (88) were identified through electronic databases (Science direct, PubMed, SciELO, Google scholar, Link springer and Research gate) under the umbrella of different keywords such as bioactive compounds, health benefits, nutrition, sand pear, Pyrus and Pyrus pyrifolia.

Pyrus Pyrifolia (Sand Pear) is abundant in nutritional and bioactive compounds such as phenolic acids, flavonoids, terpenoids, vitamins and minerals. It exhibits therapeutic potential as being an antioxidant, anti-obesity, anti-diabetic, anti-inflammatory and anti-cancer agent. However, P. pyrifolia is not much explored by food researchers and industrialists, hence remaining underused. A few attempts have been made toward the use of P. pyrifolia for jam, jelly, candy and wine preparation. However, more research is required for the commercial processing of P. pyrifolia and to enhance its availability outside its growing area.

In this paper, nutritional and bioactive compounds of P. pyrifolia are discussed that provide knowledge to the researchers for its use as a functional ingredient.