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This study aims to systematically review various behavioral biases that impact an investor’s decision-making process. The prime objective of this paper is to thematically explore the behavioral bias literature and propose a comprehensive framework that can elucidate a more reasonable explanation of changes in financial markets and investors’ behavior.

Systematic literature review (SLR) methodology is applied to a portfolio of 71 peer-reviewed articles collected from different electronic databases between 2007 and 2021. Content analysis of the extant literature is performed to identify the research themes and existing gaps in the literature.

This research identifies publication trends of the behavioral biases literature and uncovers 24 different biases that impact individual investors’ decision-making. Through thematic analysis, an attribute–consequence–impact framework is proposed that explains different biases leading to individual investors’ irrationality. The study further proposes directions for future research by applying the theory–characteristics–context–methodology framework.

The results of this research will help scholars and practitioners in understanding the existence of various behavioral biases and assist them in identifying potential strategies which can evade the negative effects of these biases. The findings will further help the financial service providers to understand these biases and improve the landscape of financial services.

The essence of the current paper is the application of the SLR method on 24 biases in the area of behavioral finance. To the best of the authors’ knowledge, this study is the first attempt of its kind which provides a methodical and comprehensive compilation of both cognitive and emotional behavioral biases that affect the individual investor’s decision-making.

This study aims to determine the best way to apply material flow cost accounting (MFCA) in an SME environment with the goal of visualizing negative product cost during the manufacturing process and pinpointing places where improvements can be made.

This study uses a case study approach to demonstrate the usefulness of the MFCA tool in an SME in India that produces aluminum energy products used in the electrical power sector through gravity die casting.

According to the results, the company’s gravity die casting has a negative product cost margin of 27.38% as a result of MFCA analysis. It is also determined that the negative material cost is Rs. 22,919, the negative system cost is Rs. 462 and the negative energy cost is Rs. 1,069 for processing 300 kg of raw material. The typical monthly raw material processing for this company is 45,000 kg.

This research shows that MFCA’s implementation will improve the company’s environmental consciousness and bottom line. To the best of the authors’ knowledge, this study is the first to implement MFCA in aluminum gravity die casting of electrical parts manufacturing.

The purpose of this paper is to provide an overview of research and development in the measurement of maintenance performance. It considers the problems of various measuring parameters and comments on the lack of structure in and references for the measurement of maintenance performance. The main focus is to determine how value can be created for organizations by measuring maintenance performance, examining such maintenance strategies as condition‐based maintenance, reliability‐centred maintenance, e‐maintenance, etc. In other words, the objectives are to find frameworks or models that can be used to evaluate different maintenance strategies and determine the value of these frameworks for an organization.

A state‐of‐the‐art literature review has been carried out to answer the following two research questions. First, what approaches and techniques are used for maintenance performance measurement (MPM) and which MPM techniques are optimal for evaluating maintenance strategies? Second, in general, how can MPM create value for organizations and, more specifically, which system of measurement is best for which maintenance strategy?

The body of knowledge on maintenance performance is both quantitatively and qualitatively based. Quantitative approaches include economic and technical ratios, value‐based and balanced scorecards, system audits, composite formulations, and statistical and partial maintenance productivity indices. Qualitative approaches include human factors, amongst other aspects. Qualitatively based approaches are adopted because of the inherent limitations of effectively measuring a complex function such as maintenance through quantitative models. Maintenance decision makers often come to the best conclusion using heuristics, backed up by qualitative assessment, supported by quantitative measures. Both maintenance performance perspectives are included in this overview.

A comprehensive review of maintenance performance metrics is offered, aiming to give, in a condensed form, an extensive introduction to MPM and a presentation of the state of the art in this field.

In recent times, reverse logistics (RL) is gaining significant traction in various automobile industries to recapture returned vehicles’ value. A good RL program can lower manufacturing costs, establish a green supply chain, enhance customer satisfaction and provide a competitive advantage. However, reducing disruptions and increasing operational efficiency in the automobile RL requires implementing innovative technology to improve information flow and security. Thus, this manuscript aims to examine the hurdles in automobile RL activities and how they can be effectively tackled by blockchain technology (BCT). Merging BCT and RL provides the entire automobile industry a chance to generate value for its consumers through effective vehicle return policies, manufacturing cost reduction, maintenance records tracking, administration of vehicle information and a clear payment record of insurance contracts.

This research is presented in three stages to accomplish the task. First, previous literature and experts' opinions are examined to highlight certain factors that are an aggravation to BCT implementation. Next, this study proposed an interval-valued intuitionistic fuzzy set (IVIFS) – decision-making trial and evaluation laboratory (DEMATEL) with Choquet integral framework for computing and analyzing the comparative results of factor interrelationships. Finally, the causal outline diagrams are plotted to determine the influence of factors on one another for BCT implementation in automobile RL.

This study has categorized the barriers to BCT implementation into five major factors – operational and strategical, technical, knowledge and behavioral, financial and infrastructural, and government rules and regulations. The results revealed that disreputable technology, low-bearing capacity of IT systems and operational inefficiency are the most significant factors to be dealt with by automobile industry professionals for finer and enhanced RL processes utilizing BCT. The most noticeable advantage of BCT is its enormous amount of data, permitting automobile RL to develop client experience through real-time data insights.

This study reveals several factors that are hindering the implementation of BCT in RL activities of the automobile industry. The results can assist experts and policymakers improve their existing decision-making systems while making an effort to implement BCT into the automobile industry's RL activities.

Although there are several studies on the benefits of BCT in RL and the adoption of BCT in the automobile industry, individually, none have explicated the use of BCT in automobile RL. This is also the first kind of study that has used IVIFS-DEMATEL with the Choquet integral framework for computing and analyzing the comparative results of factor interrelationships hindering BCT implementation in automobile RL activities.

The purpose of this study is to develop a multi‐criteria hierarchical maintenance performance measurement framework, which is balanced, holistic and integrated to various levels of the organization.

Consolidation of published research and current practices are combined to study, identify and develop this proposed framework.

A framework for maintenance performance measurement is proposed for developing and implementing a relevant, timely, reliable, cost and time‐effective and user‐friendly system for stakeholders at various levels. The indicators at the subsystem/component level, plant level and corporate level are linked with the MPIs for the organizational objectives and strategy.

Management of maintenance performance is critical for long term economic viability of business and industry. Development of an integrated, balanced and holistic MPM system needs to consider various issues to measure the contribution of maintenance towards total business goals. In this paper, a multi‐criteria hierarchical MPM framework has been developed. This framework can be used by the operating managers for their maintenance decisions at various levels of an organization.

The paper presents a proposed MPM framework, which is integrated, and focuses on both internal and external effectiveness.

The purpose of this paper is to analyze the patterns and dynamics of the diffusion of modern food retail in India.

The paper is based on detailed sales data from retail chains in India, short case studies of retail chains, and review of literature.

The article presents three surprises concerning modern food retail diffusion in India. First, modern retail has developed in three “waves”, with the first wave, government retail chains, starting in the 1960s/1970s, cooperative retail chains starting in the 1970s/1980s, and private retail chains in the 1990s/2000s. All three were substantial, and internationally uniquely, all three coexist in the 2000s as segments of modern retail. Second, the rise of modern private retail in India in the past six years has been among the fastest in the world, growing at 49 percent a year on average over that period, and bouncing back to growth after a dip from the recent recession. The great majority of modern private retail has arisen in 2007‐2010. Third, beside the uniqueness of the coexistence of three types of retail noted above, Indian private retail chain development has unique or rare characteristics: driven by domestic capital investment, “early” (in terms of usual international patterns) diversification into small formats, “early” penetration of small cities and even rural towns, of the food markets of the poor and lower‐middle class, and of fresh produce retail. These unique factors have helped to propel it quickly.

For the first time in the literature, the paper presents an analysis of: the three waves in Indian retail; detailed sales data for all leading chains; and its uniqueness.

The paper has proposed to implement gray wolf optimization (GWO)-based filter-type proportional derivative with (FPD) plus (1+ proportional integral) multistage controller in a three-area integrated source-type interlinked power network for achieving automatic generation control.

For analysis, a three area interconnected power system of which each area comprises three different generating units where thermal and hydro system as common. Micro sources like wind generator, diesel generator and gas unit are integrated with area1, area2 and area3 respectively. For realization of system nonlinearity some physical constraints like generation rate constraint, governor dead band and boiler dynamics are effected in the system.

The supremacy of multistage controller structure over simple proportional integral (PI), proportional integral, derivative (PID) and GWO technique over genetic algorithm, differential evolution techniques has been demonstrated. A comparison is made on performances of different controllers and sensitivity analysis on settling times, overshoots and undershoots of different dynamic responses of system as well as integral based error criteria subsequent a step load perturbation (SLP). Finally, sensitive analysis has been analyzed by varying size of SLP and network parameters in range ±50 per cent from its nominal value.

Design and implementation of a robust FPD plus (1 + PI) controller for AGC of nonlinear power system. The gains of the proposed controller are optimized by the application of GWO algorithm. An investigation has been done on the dynamic performances of the suggested system by conducting a comparative analysis with conventional PID controller tuned by various optimization techniques to verify its supremacy. Establishment of the robustness and sensitiveness of the controller by varying the size and position of the SLP, varying the loading of the system randomly and varying the time constants of the system.

Construction workers’ health and safety (CWHS) research in India has not gained much attention among researchers. This study aims to review articles related to CWHS research in India using a science mapping approach.

A total number of 64 journal articles published between 2004 and 2019 were extracted from the Scopus database using keywords including “construction safety,” “occupational health,” “ergonomics in construction,” etc. VOSviewer software was used to examine the influential keywords, documents, sources and authors in the field of CWHS.

The study found that most of the current work focuses on safety management, safety climate, safety performance, musculoskeletal disorders and behavior-based safety. The result indicates no theoretical basis for the theories and learning methods for the existing studies.

The findings open up a research gap that researchers explore to enhance workers’ health and safety within the Indian construction environment.

The paper is the first article to provide a better understanding of current research in the field of CWHS in India by analyzing its growth through the science mapping approach.

The paper intends to explore the lived experiences of medical students during the COVID-19 pandemic and its impact on their lifestyles and mental wellbeing.

Fourteen medical students from the College of Medicine and Medical Sciences, Arabian Gulf University, Bahrain, were enrolled, and their narratives were obtained. Data were analyzed and conducted using Colaizzi’s phenomenological descriptive method of enquiry.

The analysis identified two themes, along with nine subthemes, that were generated. The first theme focused on mental and social experiences, while the second focused on lifestyle changes. During the pandemic, students had time to reflect on themselves and started to think positively about their lives, although they felt fearful, uncertain, stressed and anxious due to preventive control measures that were mandated, including social distancing and lockdowns. Participants’ lifestyles changed generally negatively, as they adapted to the preventive measures, rendering them physically inactive and exposing them to unhealthy food and disturbed sleep.

The findings provide an insight into the negative impact of the COVID-19 pandemic on the lifestyle and mental wellbeing of medical students. Educational institutes need to offer their students both short as well as long-term health, social and mental support to overcome the impact of the pandemic on their lives.

The purpose of this paper is to comprehensively analyze the corporate social responsibility (CSR) and sustainability reporting (SR) practices of Indian companies in terms of disclosure quantity and quality, and to investigate the differences in SR practices by SR dimension, industry, ownership structure, firm size and profitability.

Data are collected from annual reports/business responsibility reports (BRR)/CSR/sustainability reports of 60 top-listed companies in India. A comprehensive sustainability reporting index is developed. Content analysis technique is used. Inter-coder reliability is established.

Altogether, 18 items of the index are not disclosed by the majority of companies in India. SR quality is found significantly lower than the SR quantity. Moreover, SR practices significantly differ by dimension/category, industry-type and firm-size but are not influenced by ownership structure. However, the study fails to establish any conclusive relationship between SR and profitability.

The present study has several implications for corporates, practitioners, policymakers and stakeholders. The findings underscore the need for amendments in the Global Reporting Initiative guidelines and BRR framework of the Securities and Exchange Board of India to avoid patchy disclosures and ensure complete reporting by companies.

This study is among the foremost studies in India evaluating SR practices of top-listed companies in the wake of the mandatory BRR requirement from a quantitative as well as qualitative perspective using a multidimensional index.