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Non-linear power–voltage characteristics of solar cell and frequently changing output due to variation in solar irradiance caused by movement of clouds are the major issues need to be considered in photovoltaic (PV) penetration to maintain the power quality of the grid. It is important for a PV module to always function at its maximum available power point to increase the efficiency and to maintain the grid stability. A possible solution to mitigate these generation fluctuations is the use of an electric double-layer capacitor or supercapacitor energy storage device, which is an efficient storage device for power smoothing applications. This study aims to propose a power smoothing control approach to smoothen out the output power variations of a solar PV system using a supercapacitor energy storage device.

To extract the maximum possible power from a PV panel, there are several maximum power points tracking (MPPT) algorithms developed in literature. Fuzzy logic controller-MPPT method is used in this work as it is a very efficient and popular technique which responds quickly under varying ecological conditions, reduced computational complexity and does not depend on any system constraints. Fuzzy logic-based MPPT controller by Boost DC–DC converter is developed for operating the PV panels at available maximum power point. Fuzzy logic-proportional integral (PI) charge controller is implemented by Buck–Boost converter to provide the constant current and suitable voltage for supercapacitor and to achieve better power smoothing. PI charge controller is preferred in this work as it offers better outcomes and is very easy to implement.

Simulation results conclude that the proposed power smoothing control approach can efficiently smooth out the power variations under variable irradiance and temperature situations. To confirm the accurateness of the proposed system, it is validated for poly-crystalline PV module and comparison of results is done by using different case study with and without the use of an energy storage system under change in irradiance condition. The proposed system is developed and examined on MATLAB/Simulink environment.

The performance comparison between PV power output with and without the use of a supercapacitor energy storage device under different Case Studies shows that the improved performance in smoothing of power output was achieved with the use of a supercapacitor energy storage device.

Estimation of solar cell parameters, mathematical modeling and the actual performance analysis of photovoltaic (PV) cells at various ecological conditions are very important in the design and analysis of maximum power point trackers and power converters. This study aims to propose the analysis and modeling of a simplified three-diode model based on the manufacturer’s performance data.

A novel technique is presented to evaluate the PV cell constraints and simplify the existing equation using analytical and iterative methods. To examine the current equation, this study focuses on three crucial operational points: open circuit, short circuit and maximum operating points. The number of parameters needed to estimate these built-in models is decreased from nine to five by an effective iteration method, considerably reducing computational requirements.

The proposed model, in contrast to the previous complex nine-parameter three-diode model, simplifies the modeling and analysis process by requiring only five parameters. To ensure the reliability and accuracy of this proposed model, its results were carefully compared with datasheet values under standard test conditions (STC). This model was implemented using MATLAB/Simulink and validated using a polycrystalline solar cell under STC conditions.

The proposed three-diode model clearly outperforms the earlier existing two-diode model in terms of accuracy and performance, especially in lower irradiance settings, according to the results and comparison analysis.

The Olympic Gold Quest (OGQ) was founded as a Non-profit to support Indian athletes in their quest to win Olympic Gold medals by bridging the gap between the best athletes in India and in the world. The support from OGQ has been instrumental to India in winning its highest number of medals at any summer Olympics. Buoyed by this success, OGQ has set up a target of achieving eight Olympic medals at the 2016 Rio Olympic Games. With OGQ relying on donations to support the athletes, the challenge is to market the Olympic cause by creating, communicating, and delivering the right offering for its donors.

This paper aims to proffer a broad overview of publications in the International Journal of Contemporary Hospitality Management (IJCHM) by conducting bibliometric analyses for the duration ranging from 1989 to 2022.

The research approach analyses the top authors, publications, most collaborative countries and top co-occurring keywords and significant themes published in IJCHM with the help of the Scopus database. The study entails performance analyses on IJCHM. A de-duplicating process was used to study the evolution of themes, so that the keywords identified from co-occurrences of authors’ keywords and thematic evolution map were refined to first- and second-order themes, further leading to the development of inductive analysis proposing aggregate themes.

The findings of this study not only help paint a comprehensive picture of the customer experience, but also illustrate how topics have evolved in the literature and reveal the most relevant upcoming fields of research. The thematic evolution map reveals thematic areas. There is evidence of contributions by authors across the world and spanning a multitude of themes such as business ethics, corporate and firm performance, stakeholders and avenues for the management of disruption, specifically in times of the COVID-19 pandemic outbreak.

Significant trends in authors, publications, nations, authors’ keywords and themes as uncovered by this study can greatly help budding authors understand the expectations and emerging research themes that define the IJCHM.

Through extensive bibliometric analyses, this study has created a historical log of the publications in IJCHM. It has identified the key research trends for future research and presented a conceptual framework based on the keyword analysis map and thematic evolution.

The purpose of this study is to critically examine and review the extant research on corporate entrepreneurship champions in the broader area of corporate entrepreneurship and to uncover the avenues for advancement of the scholarship with the purpose of engaging CE champions towards the upliftment of organisations in particular, and younger workforce in general.

In this study, authors employ bibliometric analysis through a review of 274 papers fetched from Web of Science and Scopus databases.

The authors set the agenda for future research and policy by elucidating research themes and potential research questions by bringing out twelve themes classified into five basic themes, three niche themes, three motor themes, and one key theme, while also providing the methodological inputs for carrying out this agenda.

This study adopts a unique lens of investigation in contextualising the role of self-efficacy, employee engagement, and career choice for the younger workforce.

This paper aims to consolidate and review the literature in the field of market-calibrated option pricing analysis. By doing so, the paper brings out the gaps in the extant literature and makes suggestions for future researchers in the field.

The methodology used in this research is inspired by the works of Ferreira et al. (2016), Jabbour (2013), Lage Junior and Godinho Filho (2010), Seuring (2013) and Sharma et al. (2018). A total of 1,500 papers written on the pricing of options globally are collated from the Web of Science ranging across 2010-2018.

Most of the research papers present mathematical proposals to value options; without calibrating it with real market data points. The authors bring out five important gaps in the extant literature.

This is arguably the first study that consolidates the literature in the field of market calibrated option pricing analysis with a view to suggest directions for future researchers.

Of the global carrot production, 20–30% is outgraded as carrot rejects and waste (CRW) at the primary processing level, which is partially used toward animal feed and the remaining ends in the landfills. This study was undertaken to identify the hurdles and seek potential solutions for using CRW in food processing.

CRW were procured from the processing unit in Ontario, Canada, as (1) outgraded carrots (OGCs) and (2) processed discards (PDs). The physical parameters of CRW, imperfections responsible for their separation from the graded carrots and shelf-life studies were recorded.

A significant difference with p ≤ 0.05 was recorded for both the physical parameters and the nature of imperfections in CRW. Discolored carrots (42.37 ± 3.59%) and the presence of vertical splits (52.71 ± 3.18%) were among the top defects in the OGCs. In contrast, the presence of broken tips (54.83 ± 2.52%) and vertical splits (40.56 ± 2.65%) were among the primary cause for the generation of PDs. In total, five percent of CRW were initially infected, which later increased to 30% during the seven days storage period.

The limitation of the study was that only two varieties of carrots were considered and these were procured from one processor (the authors’ industry partner) at different time intervals of the year. Microbiological analysis could not be completed and reported due to prevailing coronavirus disease 2019 (COVID-19) situation but is included for future studies.

Development of specialized post-harvest packaging and handling protocols and separation of infected fragments are essential before suggesting the use of CRW in food processing.

Numerous studies report on the post-harvest management and processing of graded carrots, but limited to no studies are published on the usage of CRW in food processing.

The purpose of this paper is to propose an integrative framework bringing together results from neuroplasticity and decision-making from a neuroscience perspective with those from market plasticity, i.e. with which practices market actors shape markets.

Provided that developments in neuroscience indicate that training the brain for orientation toward efficient decision-making processes under uncertainty is possible, an in-depth analysis can be conducted by using the integrative framework, which was set up by the authors for advancing research efforts in neuroeconomics and neurofinance on these lines.

Markets have a plastic character; they can change shape and form and remain in that way thereafter. The marketers have always been causing this change to succeed in their marketing strategies and efforts. Plasticity, hitherto considered by marketing, market sociology and evolutionary economics, has a potential in financial decision-making processes, especially regarding its role in training the brain for stable financial decisions.

The theoretical approach can be incorporated for delivering an alternative representation of the knowledge processes associated with financial decisions.

The practical approach can be used for improving the practical aspects of financial decision-making processes.

The contribution is the first of its kind which integrates neuroscience approaches of plasticity and decision-making with the concept of market plasticity from the literature on economics and management, showing their similarities and opening a new front of discussion on how these two approaches can learn from each other to increase the explanatory power of financial decision-making processes and to gain new insights for financial decision makers on how to make more efficient financial decisions in the times of uncertainty.

This study aims to review the relationship between neurological processes and financial behavior from an interdisciplinary perspective. Individual decision-making is influenced by cognitive and affective biases; hence, it becomes pertinent to understand the origin of these biases. Neurofinance is an emerging field of finance budding from neuroeconomics and explains the relationship between human brain activity and financial behavior, drawn from interdisciplinary fields, including neurology, psychology and finance.

This conceptual paper extensively reviews the extant literature and performs meta-analysis to attain its research objectives.

The paper highlights the use of neuroimaging techniques in mapping the brain areas to help understand the processes in the higher cognitive areas of brain. The paper raises some new questions regarding individual preferences and choices while making financial or non-financial decisions.

The special focus on dysfunctions arising in brain because of injury and their impact on decision-making is also a key point in this paper and is summarized using meta-analytic forest plot. The existing literature provides instances where emotional processing is altered by injury in brain and may lead to more advantageous decisions, especially in risky situations.