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The purpose of this research is to evaluate the effectiveness of different repair patch materials in reducing the stresses at the crack tip of a 2024-T3 aluminum plate. This involves a numerical analysis using the finite element method (FEM) to estimate the reduction in the J-integral value, with the goal of identifying how various parameters related to the patch materials, adhesive properties and loading conditions influence the structural integrity of the repaired plate.

The methodology of this research involves conducting a numerical analysis using the FEM to estimate the reduction in the J-integral value at the crack tip of a 2024-T3 aluminum plate. Three types of patches – metal, composite and functionally graded material (FGM) – were examined under tensile loading conditions, and Adekit-A140 adhesive was used to bond these repair patches to the aluminum plate.

The analysis considered various parameters, including crack length, the nature of fibers in the composite material, the gradation exponent for FGM patches and the nature of the face in contact with the adhesive for the FGM patch. Additionally, stress analysis was conducted, examining the J-integral values for the plate, shear stress in the adhesive layer and peel stress in the composite patch. The findings highlight that modifying the nature of the repair patch used can significantly enhance the structural integrity of the repaired plate.

The study analyzed J-integral values, shear stress in the adhesive and peel stress in the composite patch. Various parameters, including crack length, fiber type, gradation exponent and adhesive contact face nature, were considered. Results demonstrate that the J-integral value can be significantly reduced by altering the repair patch type, highlighting the effectiveness of customized patch materials in enhancing structural integrity.

The current study aims to analyze the mediating role of perceived risk from private label apparels in between the familiarity and consumer purchase intention (PI).

Exploratory factor analysis and structural equation modeling techniques were utilized for evaluating the relationship between different constructs. Participants were given the opportunity for expressing their degree of approval or disapproval using a series of statements using a five-point Likert scale. For the purpose of the survey, a total of 400 participants were selected.

The finding highlights the mediating role of perceived risk between familiarity and PI of consumers toward private label apparels. When there is a mediator, the direct influence of familiarity on PI is absorbed.

This research aims to offer an understanding of buyer preferences in developing markets as well as providing suggestions for retailers and marketers on how to successfully promote and position private label apparel in such an environment through investigating the importance of familiarity with private label apparel. While doing so, it develops the premise that familiarity with private label apparel directly impacts perceived risk while indirectly impacting PI of consumers towards private label apparel.

After half a decade of balance sheet clean-up prompted by the Reserve Bank of India’s (RBI) asset quality review (AQR), Indian banks are back on track for increased loan growth. Being a financial vehicle for the economy, loan growth cannot be put on hold for a long period of time. But it is also important to understand that loan growth carries an inherent risk of default. A trade-off exists between loan growth, non-performing loans (NPLs) and bank profitability. Our study highlights the importance of understanding this relationship.

For our study, we have taken a sample of India’s private and public sector banks. The dataset consists of the financials of our sample for the period 2006–2021. Two-step differenced generalized method of moments (SYS-GMM) estimation has been used to establish the relationship. The mediating role of NPLs in the relationship between loan growth and profitability is examined by the mediation analysis using structural equation modeling (SEM) and the Sobel test. We have used Stata 16.1 for the analysis of our dataset.

The findings of our study suggest that bank lending is a major contributor to the bank’s earnings. Loan growth after a certain point has a negative impact on profitability, and it also adds to the NPLs of the bank. The study result indicates that moderate loan growth is key to steady and stable growth in the Indian banking industry.

Our study is directed toward understanding the positive and negative manifestations of loan growth. We develop a framework to understand this relationship and then empirically prove it. The study is beneficial for employees and policymakers alike to minimize the negative impact of loan growth.

The issue of the simultaneous impact of loan growth on NPLs and profitability has not been studied in the Indian banking sector. Also, this study adds to the present literature by studying the mediation effect of the NPLs on the loan growth and profitability relationship.

This study aims to investigate the impact of service quality (SQ), perceived value (PV) and consumer satisfaction on Thai street food, with customer satisfaction (CS) as a mediator for customer loyalty and repurchase intention (RI). It also explores how consumer trust (CT) in Thai street food safety moderates these relationships.

Structural equation modelling (SEM) was utilised to analyse the complex interrelationships between various constructs. Multi-group analyses were conducted to investigate the moderating effects of CT on the structural model, considering two distinct groups based on trust levels: low and high.

The findings revealed that SQ and PV significantly influenced CS and behavioural intention, while the perceived quality of Thai street food had no significant impact on post-COVID-19 consumer satisfaction. The study highlighted the critical role of CT in moderating the relationships between SQ, PV and CS, with distinct effects observed in groups with varying trust levels.

The research emphasises the importance of enhancing SQ and delivering value to customers in the context of Thai street food, which can contribute to increased CS, RI and positive word-of-mouth. Furthermore, the study underscores the critical role of building CT in fostering enduring customer relationships and promoting consumer satisfaction and loyalty.

This research offers valuable insights into consumer behaviour and decision-making processes, particularly within the realm of Thai street food. It underscores the significance of understanding and nurturing CT, especially in the post-COVID-19 landscape, emphasising the need for effective business strategies and consumer engagement.

The current paper aims to discuss the implementation of Green Lean Six Sigma (GLSS) in the food industry to improve sustainable practices. The focus is more specifically on dairy processors to ascertain the current state of the literature and aid future research direction.

Utilising a systematic literature review (SLR), the paper addresses various terms and different written forms in the literature. The study characterises the current deployment of GLSS in the food industry and explains the reported benefits of this approach.

GLSS, a concept that has yet to be fully explored in the food industry, as in other sectors, holds significant potential to enhance the food industry’s sustainability practices. The dairy sector, a subsector of the food industry known for its high greenhouse gas emissions, is a prime candidate for the application of GLSS. In instances where it has been applied, GLSS has demonstrated its effectiveness in improving sustainability, reducing waste, lowering greenhouse gas emissions and minimising water usage. However, the specific tools used and the model for GLSS implementation are areas that require further study, as they have the potential to revolutionise food industry operations and reduce their environmental impacts.

Benchmarking of this research by the food industry sector and by academics can aid understanding of the practical application of GLSS tools and aid implementation of these practices to evolve the dairy processing sector in the next decade as sustainability champions in the sector.

This study extensively analyses GLSS in the food industry, with a particular focus on dairy processors.

The present study aims to investigate the impact of manager conservatism on innovation and capital expenditures especially the moderating role of the crisis caused by the COVID-19 outbreak for companies listed on the Tehran Stock Exchange (TSE).

The present study investigated information about 178 companies in 2014–2022. In this study, the CEO’s signature was a psychological proxy of conservatism. Modified multiple regression analysis was used to investigate the moderating role of COVID-19. The present study also used the Generalized Method of Moments (GMM) to address endogeneity issues.

The results showed that manager conservatism has a positive and significant effect on capital expenditures, while manager conservatism negatively impacts firm innovation. In addition, COVID-19 significantly strengthens the impact of manager conservatism on capital expenditures and firm innovation. Hypothesis testing based on robustness checks confirmed these results.

This study aims to investigate the impact of manager conservatism, as a personality trait, on capital expenditures and innovation. These aspects have not been thoroughly explored in the existing literature. Additionally, it is important to consider the perceived threat of COVID-19, known to have a greater effect on conservatives. This study seeks to examine the interactive role of manager conservatism and COVID-19 on investment in capital expenditures and innovation. The present findings will not only benefit managers and policymakers in both developing and developed countries but will also provide valuable insights into decision-making processes related to capital expenditures and innovation during critical conditions such as the COVID-19 outbreak.

In today’s age of globalization, every industry puts well-determined efforts toward surviving in the market. Industries are well aware of the fact that offering quality products and improving customer satisfaction is the strategic decision toward successful outcomes. During the recent years, food companies have undergone remarkable growth and development worldwide. In the Middle East, with a wide variety of demand and range of cultures, Iran is leading the food industries and possessed a top position of paramount importance. The present research aims to identify and prioritize barriers to implementing total quality management (TQM) in the Solico Food and Beverage Production Group (SFBPG) as a case study.

Firstly, an initial list of barriers is prepared based on a literature review. The identified barriers are then classified into four groups namely behavioral, technical-structural, human and cultural and strategic barriers based on the viewpoint of an expert team at a well-known food company. Secondly, the barriers are prioritized by adopting a special approach to multi-criteria decision-making (MCDM) called the Group Best-Worst Method (GBWM).

The obtained results reveal that the most substantial barriers prohibiting the successful implementation of TQM are lack of top management commitment and participation (0.334), high organizational burnout rate (0.128), instability and frequent changes of senior managers (0.123).

In general, this research has ranked the barriers from the most important one to the least significant instance. Additionally, this can enable managers and practitioners in the food industry to make worthy decisions and suggest multiple solutions to cope with obstacles to the successful implementation of TQM.

The paper aims to examine the effect of justice perceptions of performance appraisal (JPPA) practices (i.e. distributive, procedural, informational and interpersonal justice) on organizational citizenship behavior (OCB) and affective commitment (AC) and the effect of AC on OCB. Further, it investigates the mediating role of AC in the relationship between JPPA practices and OCB. Moreover, this study examines the moderating effect of job level on the relationship between JPPA practices and OCB.

The data were collected using a self-reported structured questionnaire. A total of 650 questionnaires were distributed among the employees of 50 information technology (IT) companies in India, and 503 samples were obtained. The conceptual framework was tested using the partial least squares structural equation modeling (PLS-SEM) method, and the moderating effect was tested using process macro.

The findings of this study reveal that the JPPA practices positively affect OCB and AC and AC affects OCB. Further, AC partially mediates this relationship between JPPA practices and OCB. Furthermore, the direct effect of JPPA practices on OCB happens to be strengthened when the job level decreases, thus confirming the moderating role of job level.

The findings of this study augment the social exchange theory (SET) by suggesting that individuals perceiving justice or fairness in performance appraisal practices are likely to have a greater AC that ultimately engages employees in OCB.

This study will be helpful for human resource practitioners in IT companies who are responsible for the fairness of performance appraisal practices and expect their employees to be emotionally attached to the organization and engaged in OCB.

The study adds to the body of knowledge of how justice in performance appraisal practices links to OCB through AC and moderates by job level in an emerging economy in Asia.

This research highlights the ongoing concern about organizational productivity and the lack of focus on designing an optimal model. The authors aim to create a comprehensive model for managing organizational productivity, considering its impact on profitability, customer satisfaction, and employee morale. They use qualitative research methods, including Systematic Literature Review and Interpretive Structural Modeling (ISM).

In this research using the qualitative research method of Systematic Literature Review, 57 variables affecting productivity were identified. These variables were placed in 16 layers by using the ISM method, which were classified analytically in four sections: INPUTS, OUTPUTS, OUTCOMES and IMPACTS. By determining the relationship between the sections, the research model was designed.

The potential model for organizational productivity management provides a comprehensive framework addressing critical factors like technology adoption, employee empowerment, organizational culture, and more. It identifies Linkage, Dependent, and independent variables. The lower layers consist of INPUTS such as Technological Tools, Organizational Values, and more. In the highest layer, impactful variables like Enhanced competitiveness, Improved decision-making, and Improved organizational culture are labeled as IMPACTS. Middle layer variables are categorized as OUTPUTS and OUTCOMES.

In this study, the concept of productivity management was redefined for the first time, and a multi-layered model for productivity management was creatively explicated using the structural equation modeling method.

Despite the fact that hygiene and sanitation are becoming more critical for improving the present situation in developing nations, the factors that affect them are not well covered in the present research. This paper investigates the quality of the hygiene and sanitization factors and identifies the interrelations between the identified factors.

A graph theory-based approach is proposed to assess the factors influencing the practice, and a critical service index (CSI) is used to quantify the same.

Two Indian villages are used to illustrate the implementation of the suggested approach. This represents the validation of the suggested method, as well as assisting in the development of essential suggestions for increasing the quality of hygiene and sanitization in the Indian context. In spite of the increasing importance of hygiene and sanitation for improving the current situation in developing countries, the factors that influence them are not well-researched.

This study contributes in two ways. First, it provides an organized methodology for quantifying hygiene and sanitation factors and a critical service index that incorporates the findings. The suggested approach may also be used to evaluate and classify other sectors. Second, it shows how the methodology was used to create key recommendations for two Indian villages, which may be considered the first effort in India’s hygiene and sanitation initiatives.

This research discussed improvements in sanitation and hygiene habits among Indian households, which have not been achieved as expected under the Swachh Bharat Mission.