Anshul Sharma, Pardeep Kumar, Hemant Kumar Vinayak, Raj Kumar Patel and Suresh Kumar Walia
This study aims to perform the experimental work on a laboratory-constructed steel truss bridge model on which hammer blows are applied for excitation. The vibration response…
Abstract
Purpose
This study aims to perform the experimental work on a laboratory-constructed steel truss bridge model on which hammer blows are applied for excitation. The vibration response signals of the bridge structure are collected using sensors placed at different nodes. The different damaged states such as no damage, single damage, double damage and triple damage are introduced by cutting members of the bridge. The masked noise with recorded vibration responses generates challenge to properly analyze the health of bridge structure.
Design/methodology/approach
The analytical modal properties are obtained from finite element model (FEM) developed using SAP2000 software. The response signals are analyzed in frequency domain by power spectrum and in time-frequency domain using spectrogram and Stockwell transform. Various low pass signal-filtering techniques such as variational filter, lowpass sparse banded (AB) filter and Savitzky–Golay (SG) differentiator filter are also applied to refine vibration signals. The proposed methodology further comprises application of Hilbert transform in combination with MUSIC and ESPRIT techniques.
Findings
The outcomes of SG filter provided the denoised signals using appropriate polynomial degree with proper selected window length. However, certain unwanted frequency peaks still appeared in the outcomes of SG filter. The SG-filtered signals are further analyzed using fused methodology of Hilbert transform-ESPRIT, which shows high accuracy in identifying modal frequencies at different states of the steel truss bridge.
Originality/value
The sequence of proposed methodology for denoising vibration response signals using SG filter with Hilbert transform-ESPRIT is a novel approach. The outcomes of proposed methodology are much refined and take less computational time.
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Anshul Sharma, Pardeep Kumar, Hemant Kumar Vinayak, Suresh Kumar Walia and Raj Kumar Patel
This study aims to include the diagnosis of an old concrete deck steel truss rural road bridge in the damaged and retrofitted state through vibration response signals.
Abstract
Purpose
This study aims to include the diagnosis of an old concrete deck steel truss rural road bridge in the damaged and retrofitted state through vibration response signals.
Design/methodology/approach
The analysis of the vibration response signals is performed in time and time-frequency domains using statistical features-root mean square, impulse factor, crest factor, kurtosis, peak2peak and Stockwell transform. The proposed methodology uses the Hilbert transform in combination with spectral kurtosis and bandpass filtering technique for obtaining robust outcomes of modal frequencies.
Findings
The absence or low amplitude of considered mode shape frequencies is observed both before and after retrofitting of bridge indicates the deficient nodes. The kurtosis feature among all statistical approaches is able to reflect significant variation in the amplitude of different nodes of the bridge. The Stockwell transform showed better resolution of present modal frequencies but due to the yield of additional frequency peaks in the vicinity of the first three analytical modal frequencies no decisive conclusions are achieved. The methodology shows promising outcomes in eliminating noise and visualizing distinct modal frequencies of a steel truss bridge.
Social implications
The findings of the present study help in analyzing noisy vibration signals obtained from various structures (civil or mechanical) and determine vulnerable locations of the structure using mode shape frequencies.
Originality/value
The literature review gave an insight into few experimental investigations related to the combined application of Hilbert transform with spectral kurtosis and bandpass filtering technique in determining mode frequencies of a steel truss bridge.
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Stutee Mohanty, B.C.M. Patnaik, Ipseeta Satpathy and Suresh Kumar Sahoo
This paper aims to identify, examine, and present an empirical research design of behavioral finance of potential investors during Covid-19.
Abstract
Purpose
This paper aims to identify, examine, and present an empirical research design of behavioral finance of potential investors during Covid-19.
Design/methodology/approach
A well-structured questionnaire was designed; a survey was conducted among potential investors using convenience sampling, and 200 valid responses were collected. The research work uses multiple regression and discriminant function analysis to evaluate the influence of cognitive factors on the financial decision-making of investors.
Findings
Recency and familiarity bias are proven to have the highest significant impact on the financial decisions of investors followed by confirmation bias. Overconfidence bias had a negligible effect on the decision-making process of the respondents and found insignificant.
Research limitations/implications
Covid-19 is a temporary phase that may lead to changes in financial behavior and investors’ decisions in the near future.
Practical implications
The paper will help academicians, scholars, analysts, practitioners, policymakers and firms dealing with capital markets to execute their job responsibilities with respect to the cognitive bias in terms of taking financial decisions.
Originality/value
The present investigation attempts to fill the gap in the literature on the intended topic because it is evident from literature on the chosen subject that no study has been undertaken to evaluate the impact of cognitive biases on financial behavior of investors during Covid-19.
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Sreekanth Nair, Aarti Jagannathan, Suresh Kudumallige, Channaveerachari Naveen Kumar and Jagadisha Thirthalli
Micro-finance self-help groups empower caregivers to indulge in productive activities based on the local availability of resources to reduce their financial burden. The purpose of…
Abstract
Purpose
Micro-finance self-help groups empower caregivers to indulge in productive activities based on the local availability of resources to reduce their financial burden. The purpose of this paper is to assess the need for and feasibility of initiating micro-finance groups for the caregivers of persons with mental disability in a rural socio-economically backward community of Karnataka, India.
Design/methodology/approach
The design of the study was a cross-sectional survey, with mixed methodology design out of the eight localities where the Mental Health Public Health Centres (PHC) were running successfully in Konandur area, Thirthahalli Taluk, Karnataka, one PHC was selected using simple Random Sampling Design and a 5 kms radius from Konandur town was selected as the area of the survey (190 households). During door-to-door survey, if the family indicated that a particular member is mentally unwell, the GHQ-5 and Symptoms and Others checklist were administered on him/her and the women caregiver was interviewed using qualitative needs assessment schedule and Perceived Social Support Scale.
Findings
Ten persons/households with mental illness (5.26 per cent) were identified in the community. Themes of financial needs, capacity of the caregiver, community resources, need for the microfinance self-help groups, informational needs, social support, burn out, and stigma elicited in the interview were depicted in the form of a conceptual framework to understand the inter-connectedness between the various themes.
Research limitations/implications
This study is the first initiative in the field of micro-finance self-help groups for the persons with mental illness and families. The design of the study was a cross-sectional survey, which is found globally to be the most suited in conducting prevalence studies, as it provides accurate results for future studies as well as it is the first step to obtain accurate baseline values to later plan a prospective follow up study. The study used mixed methodology design. Though the sample size was small, the information collected from the participants in qualitative and quantitative method was triangulated and conceptual frameworks were developed. As this study is one of the first of its kind in the country, the results of this study from the stated sample can be considered as an important pilot for future longitudinal and cross-sectional studies to be planned in the community.
Originality/value
There is hardly any scientific literature which talks about the need for Micro-finance self-help groups for Persons with Disability, especially with person with mental disability. In order to initiate any Micro-finance SHG activities, it is essential to first undertake the need for and feasibility of initiating such micro-finance group activities in any given area. This study will be an important milestone in initiating any self-help group activity for caregivers of persons with mental disability, as it would help us understand the financial needs of the community, based on which a draft proposal to initiate micro-finance self-help group activities can be drawn up.
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This study aims to evaluate how biases among retail investors – such as mental accounting, overconfidence and herd behaviour – affect their investment choices, while also…
Abstract
Purpose
This study aims to evaluate how biases among retail investors – such as mental accounting, overconfidence and herd behaviour – affect their investment choices, while also examining how demographics, specifically, age, gender and income moderate these effects.
Design/methodology/approach
This paper uses quantitative method for collecting data through questionnaire from 385 Indian investors investing actively in stock market. The relationship was tested using partial least squares structural equation modelling through SmartPLS 4.0. To analyse the moderating role of demographics, multi-group analysis with percentile bootstrapping approach was performed.
Findings
The results reveal the varying effect of each bias on investment decision. The evidence proves the presence of herd behaviour, overconfidence and mental accounting while making investment decisions. Furthermore, age and gender was found to be moderating the effect of biases and investment decision of Indian investors. Also, the results imply that female investors are more prone to herd behaviour compared to their male counterparts.
Research limitations/implications
The study confirms that investors often deviate from complete rationality, with their investment decisions constrained by available resources, information and cognitive processing abilities, consistent with the theory of bounded rationality. The findings offer practical insights for financial advisors, educators, investors, government agencies and regulators to enhance investment decision-making practices.
Originality/value
This study offers new perspectives on the impact of behavioural biases on investment decisions. Particularly, the study enhances the understanding of investment patterns and contributes to the behavioural finance literature by addressing the interplay between demographics and investor behaviour in a rapidly growing economy.
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H. Binner, M.S. Setty, P. Collander and C.H. Garnett
A recent meeting involved co‐operation with the organisers of the Canadian High Technology Show and the local Chapter of the SMTA. The programme included an inspiring keynote…
Abstract
A recent meeting involved co‐operation with the organisers of the Canadian High Technology Show and the local Chapter of the SMTA. The programme included an inspiring keynote address by Mr Frank J. Pipp, Xerox Corporation. The topic of the address was ‘Malcolm Baldridge National Quality Control and the Evaluation of Total Quality Control in Xerox Corporation.’
Nicolas de Oliveira Cardoso, Eduarda Zorgi Salvador, Gustavo Broch, Frederike Monika Budiner Mette, Claudia Emiko Yoshinaga and Wagner de Lara Machado
This paper aims to identify the impacts of sociodemographic covariates on behavioural biases (BB) scores; the psychometric evidence of the BB measurement instruments; and the main…
Abstract
Purpose
This paper aims to identify the impacts of sociodemographic covariates on behavioural biases (BB) scores; the psychometric evidence of the BB measurement instruments; and the main BB that influences the decision-making of individual investors.
Design/methodology/approach
Papers were retrieved through search using keywords in ten databases. This systematic review is based on 69 peer-reviewed papers, most of which were published between 2017 and 2021. The relevance of the included papers was assessed through the analysis of statistical/psychometric methods used, and content analysis of the BB literature and its sociodemographic correlations.
Findings
Overconfidence is higher in men and not related to age. There was no consensus regarding the relationship between BB and other sociodemographic variables. Most measuring instruments are ad hoc, showing ≤ 4 types of psychometric evidence and assessing ≤ 9 BB. Therefore, the findings demonstrate that there is no gold standard instrument for measuring investors’ BB. Furthermore, 37 BB were cited as influencers of individual investors’ decision-making and overconfidence, herding, anchoring, representativeness and loss aversion were the most prevalent.
Research limitations/implications
Considering that very few systematic reviews have been published in the behavioural finance area, this paper highlights the current state-of-the-art and identifies significant gaps in the literature that can be explored by further research.
Originality/value
To the best of the authors’ knowledge, this is the first systematic review that analyses the psychometric properties of instruments used for individual investors BB assessment.
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Stock investing choices of individual investors are predominantly influenced by heuristic biases, leading to sub-optimal choices. Accordingly, this study aims to identify…
Abstract
Purpose
Stock investing choices of individual investors are predominantly influenced by heuristic biases, leading to sub-optimal choices. Accordingly, this study aims to identify, categorize, validate, prioritize, and find causality among the heuristic biases shaping stock investment decisions of individual investors.
Design/methodology/approach
This research offers original contribution by employing a hybrid approach combining fuzzy DELPHI method (FDM), fuzzy analytical hierarchy process (FAHP), and fuzzy decision-making trial and evaluation laboratory (F-DEMATEL) techniques to validate, prioritize, and find causality among the heuristic biases.
Findings
Twenty sub-heuristic biases were identified under five main heuristic bias categories. Out of which, 17 were validated using FDM. Further, availability and representativeness within main heuristic categories, and availability cascade and retrievability within sub-heuristic biases were prioritized using FAHP. Overconfidence and availability were identified as the causes among the five main biases by F-DEMATEL.
Practical implications
This study offers the stock investors a deeper understanding of heuristic biases and empowers them to make rational investment decisions.
Originality/value
This paper is the inaugural effort to identify, categorize, validate, prioritize and examine the cause-and-effect relationship among the heuristic biases.
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Anshita Bihari, Manoranjan Dash, Sanjay Kumar Kar, Kamalakanta Muduli, Anil Kumar and Sunil Luthra
This study systematically explores the patterns and connections in the behavioural bias and investment decisions of the existing literature in the Scopus database published…
Abstract
Purpose
This study systematically explores the patterns and connections in the behavioural bias and investment decisions of the existing literature in the Scopus database published between 2007 and 2022. The purpose of this paper is to address this issue.
Findings
In the article it was determined which contributed documents were the most significant in this particular subject area along with the citations, publications and nations that were associated with them. The bibliographic coupling offered more in-depth insights into the papers by organizing them into distinct groups. The pattern of the publications has been brought to light, and the connection between different types of literature has provided insight into the path that future studies should take.
Research limitations/implications
This study considered only articles from the Scopus database. Future studies can be based on papers that have been published in other databases.
Originality/value
The outcome of this study provides valuable insights into the intellectual structure and biases of investors and adds value to existing knowledge. This review provides a road map for the future trend of research on behavioural bias and investment decisions.
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Ibrahim Mohammed Hameed, Jagdeep Singla and Ridhima Goel
This paper aims to complex relationship between management information systems (MIS) and organizational agility, identifying gaps and key themes to guide future research in this…
Abstract
Purpose
This paper aims to complex relationship between management information systems (MIS) and organizational agility, identifying gaps and key themes to guide future research in this domain.
Design/methodology/approach
A systematic extraction of 578 relevant articles from the Scopus database was conducted to provide an in-depth bibliometric analysis of the evolving role of MIS in enhancing organizational agility. Data analysis and visualization were performed using R Studio and VOSviewer.
Findings
The analysis highlights significant publication trends and identifies leading countries, institutions and journals in MIS and organizational agility research. Collaborative efforts from nations such as the USA, China and the UK, were prominent, focusing on information technology alignment, strategic agility and big data analytics. This study delineates distinct research clusters and future research questions, offering a clear trajectory for ongoing exploration in the field.
Originality/value
To the best of the authors’ knowledge, this study is one of the first to provide a comprehensive bibliometric analysis of the intersection between MIS and organizational agility. It offers valuable insights into research trends and future directions while emphasizing the need for MIS deployment, thereby contributing to a comprehensive understanding of the field.