Impact of financial attitude on financial management behaviour of retail investors: A COVID-19 perspective

2021 ◽  
Vol 9 (3) ◽  
Author(s):  
Aashu Aggarwal ◽  
Ashmeet Kaur ◽  
Sanya Sachdeva
Keyword(s):  
Financial Management ◽  
Structural Equation ◽  
Human Life ◽  
Academic Research ◽  
Equation Modeling ◽  
Negative Effects ◽  
Medical Needs ◽  
Management Behaviour ◽  
Retail Investors ◽  
The Impact

With the emergence of COVID-19, the end of 2019 witnessed worldwide crises causing immense harm to human life. The virus that emerged from China at the end of the year 2019 soon spread to almost all the world economies with negative effects getting amplified each passing day. To combat the rapid spread of the virus and meet the rising medical needs the various governments imposed complete to restricted lockdown. Though the lockdown to an extent helped control the spread of the deadly virus, it also affected the economies severely. The unstable financial system, lack of earnings and limited savings brought a noticeable change in the financial attitude of the retail investors and hence, the emergence of COVID-19 opened up new areas of academic research in the field of financial management behaviour. Considering the novelty of the subject, this paper seeks to examine the impact of financial attitude and financial management behaviour of retail investors during the pandemic. To meet the objectives, the data were collected from a sample of 325 Delhi-NCR based retail investors. Structural Equation Modeling has been used to study the relationship amongst the identified variables. The findings enrich our understanding of retail investment behaviour.

Mobile Business Effects on Employees' Social Life

2021 ◽  
Vol 13 (2) ◽  
pp. 1
Author(s):  
Husam Alfahl
Keyword(s):  
Social Life ◽  
Structural Equation ◽  
Equation Modeling ◽  
Work Family Conflict ◽  
Negative Effects ◽  
Mobile Business ◽  
Business Services ◽  
Work Related ◽  
The Social ◽  
The Impact

The use of mobile devices and smartphones is increasingly becoming a critical part of many people’s lifestyle. Such usage can vary from playing games to accomplishing work-related tasks. Being able to use organizations’ persuasive technologies via mobile business services or to achieve work-related tasks ubiquitously at any time means that such devices provide a valuable service, especially for employees who are working online. This paper explores the impact of mBusiness on the social life of employees. In the research, structural equation modeling was applied to validate the research model. Employees in Saudi organizations were surveyed to test the research hypotheses. The research results confirmed that there are some negative effects of using mBusiness technologies on the social life of employees. Based on the analysis, the findings revealed that addiction to mBusiness technologies significantly increases the perceived work overload, which also significantly increases work-family conflict. The paper concludes with some implications of this research.

scholarly journals COVID-19 Risk Factors, Economic Factors, and Epidemiological Factors nexus on Economic Impact: Machine Learning and Structural Equation Modelling Approaches

2021 ◽  
pp. 395-405
Author(s):  
David Opeoluwa Oyewola ◽  
Emmanuel Gbenga Dada ◽  
Juliana Ngozi Ndunagu ◽  
Terrang Abubakar Umar ◽  
Akinwunmi S.A
Keyword(s):  
Machine Learning ◽  
Risk Factors ◽  
Structural Equation Modeling ◽  
Latent Variables ◽  
Structural Equation ◽  
Equation Modeling ◽  
Support Vector ◽  
Economic Factors ◽  
Negative Effects ◽  
The Impact

Since the declaration of COVID-19 as a global pandemic, it has been transmitted to more than 200 nations of the world. The harmful impact of the pandemic on the economy of nations is far greater than anything suffered in almost a century. The main objective of this paper is to apply Structural Equation Modeling (SEM) and Machine Learning (ML) to determine the relationships among COVID-19 risk factors, epidemiology factors and economic factors. Structural equation modeling is a statistical technique for calculating and evaluating the relationships of manifest and latent variables. It explores the causal relationship between variables and at the same time taking measurement error into account. Bagging (BAG), Boosting (BST), Support Vector Machine (SVM), Decision Tree (DT) and Random Forest (RF) Machine Learning techniques was applied to predict the impact of COVID-19 risk factors. Data from patients who came into contact with coronavirus disease were collected from Kaggle database between 23 January 2020 and 24 June 2020. Results indicate that COVID-19 risk factors have negative effects on epidemiology factors. It also has negative effects on economic factors.

Do governmental, technological and organizational factors influence the performance of financial management systems?

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yu Chen ◽  
Shengbin Hao ◽  
A. Li
Keyword(s):  
Financial Management ◽  
Structural Equation ◽  
Organizational Factors ◽  
Insurance Companies ◽  
Management Systems ◽  
Equation Modeling ◽  
Validity And Reliability ◽  
Content Type ◽  
The Impact

PurposeThe critical issue in financial management is investigating the role of government in an organization's economy. Governmental facilities, loans and long-term financial plans may affect the performance of financial management systems. Financial management systems may be affected by various other factors, such as organizational, technological and governmental factors. Studying and investigating the influence of organizational, technological and governmental factors on financial management systems' performance is the primary goal of this paper.Design/methodology/approachFinancial management has always been affected by the increasing role of technology. Also, the use of financial software, the entry of computer-based computing and math planning are examples of technology entry to financial management that has led to changes in recent years. Data were collected from the insurance offices through a questionnaire. Distributed questionnaires were conducted on a Likert scale. The causal model has been appraised by the structural equation modeling (SEM) method that has been utilized to assess the validity and reliability of the model. The software has been used to evaluate the questionnaire, and the hypotheses of the research are evaluated using SPSS 22 and SMART-PLS software.FindingsThe results showed that organizational, technological and governmental factors directly affect financial management systems' performance. For this reason, the role of organizational, technological and governmental factors on the success of financial management systems in insurance companies must be considered for decision-making in the future.Research limitations/implicationsThis study includes some restrictions required to be examined in assessing the outcomes. First, sample research was selected from the managers of the insurance offices in Harbin, China. So, the sample size is not big, and the generalization of the results is limited. Second, the current research might have ignored other variables, which affect the performance of financial management systems. Future researchers intend to investigate the impact of investments and projects on financial management systems' performance as a proposal. Nevertheless, the subsequent investigation can assess vital factors like investments and plans on financial management systems' performance.Practical implicationsThe research also includes insurance companies and all departments and individuals associated with financial management systems somehow.Originality/valueIn the current article, the performance of financial management systems is highlighted, and the method to resolve the issue has been utilized as an experimental example. This article's introduced model supplies a comprehensive framework to investigate the impact of organizational, technological and governmental factors on financial management systems' performance.

Activating multiple roles of customer-firm relationships in service failures

2018 ◽  
Vol 28 (2) ◽  
pp. 250-270 ◽  
Author(s):  
Laszlo Sajtos ◽  
Yit Sean Chong
Keyword(s):  
Structural Equation ◽  
Damage Control ◽  
Service Recovery ◽  
Equation Modeling ◽  
Negative Effects ◽  
Experimental Conditions ◽  
Content Type ◽  
Service Failures ◽  
Excellent Service ◽  
The Impact

Purpose Scholars have proposed that the negative effects of service failures can be countered by developing and maintaining high quality customer-company relationships or by providing excellent service recovery to customers. While both strategies have been proposed as ways to overcome the negative effects of service failures, there are only a limited number of studies that have examined their joint effects. The purpose of this paper is to fill this gap by investigating the impact of these two strategies jointly on rumination (brooding and reflection), anger and customer forgiveness (revenge, avoidance and benevolence). Design/methodology/approach The experimental design used in this study is an adaptation of Mattila’s (2001) research design, which manipulated both the level of service recovery and relationship. A total of 677 respondents were assigned randomly to one of the six experimental conditions. Multi-group structural equation modeling was employed to estimate the proposed model across three relational conditions. Findings This study suggests that the buffering effects are directly triggered by the impact of relationships, whereas, the magnifying effects are primarily related to the customer’s cognitive processes. This study reveals multiple forms of concurrent buffering and magnifying effects in service failures. Originality/value The findings of the study led to a classification system of the various forms of buffering and magnifying effects of relationships in the event of service failures. The four active roles of relationships are identified as damage control, benefit catalyst, benefit attenuator and damage catalyst. This proposed typology breaks new ground for theorizing about relationship utilization in negative incidents.

How to enhance the impact of training on service quality?

2015 ◽  
Vol 27 (7) ◽  
pp. 514-529 ◽  
Author(s):  
Abdul Rahim Zumrah
Keyword(s):  
Public Sector ◽  
Service Quality ◽  
Financial Management ◽  
Structural Equation ◽  
Transfer Of Training ◽  
Equation Modeling ◽  
Content Type ◽  
Public Sector Organizations ◽  
The Impact ◽  
The Relationship

Purpose – The purpose of this study is to highlight the importance role of transfer of training as a mediator in the relationship between training and service quality. Design/methodology/approach – The data of this study were collected from three sources: the employees of public sector organizations in Malaysia who participated in a Basic Financial Management training program, their supervisors and their colleagues through surveys. The data were analyzed using structural equation modeling. Findings – The findings reveal that transfer of training mediated the relationship between training and service quality. Research limitations/implications – The finding illustrate that management in public sector need to ensure that their employees apply the new learned knowledge and skills at the workplace following the training to maximize the return of training investment. Originality/value – This study extends the literature by providing empirical evidence that transfer of training has a mediating effects on the relationship between training and employee service quality in the context of public sector organizations in Malaysia, a non-Western context that located in Southeast Asia.

scholarly journals Behavioural biases in Personal Financial Management and Perceived Financial Satisfaction: The Role of Speculative Risk

2022 ◽  
Vol 8 (2) ◽  
pp. 40-54
Author(s):  
Muhammad Nauman Sadiq ◽  
Syed Ali Raza Hamid ◽  
Raja Ased Azad Khan
Keyword(s):  
Financial Management ◽  
Self Efficacy ◽  
Structural Equation ◽  
Equation Modeling ◽  
Financial Satisfaction ◽  
Financial Socialization ◽  
Relationship Of ◽  
The Impact ◽  
The Relationship

This study is design to examine the impact of behavioural biases on perceived financial satisfaction and determined the role of Speculative Risk between these variables. Using structured questionnaire study collect the data from respondents and then analyzed the same by using Reliability Analysis, Factor Analysis and Structural Equation Modeling (SEM) with the help of SPSS and AMOS. The result of study disclosed that  Financial self-efficacy and Reliance on expert has significant effect on financial satisfaction, while financial socialization has no significant effect on financial satisfaction. Beside this, study revealed that Speculative risk partially mediate the relationship of financial self-efficacy and reliance on experts with financial satisfaction. Beside this , moderating role of speculative risk was observed between IV’s and DV’s .Study revealed that speculative risk significantly moderates the relationship of financial socialization and Financial satisfaction. This study is important for financial managers, policy makers and individual investors.

scholarly journals Impact of Institutional Features on the Overall Performance Assessment of Participatory Irrigation Management: Farmers’ Response from Pakistan

Water ◽  
2020 ◽  
Vol 12 (2) ◽  
pp. 497 ◽  
Author(s):  
Bashir Ahmad ◽  
Hung Duy Pham ◽  
Muhammad Ashfaq ◽  
Junaid Alam Memon ◽  
Rakhshanda Bano ◽  
...  
Keyword(s):  
Performance Assessment ◽  
Financial Management ◽  
Structural Equation ◽  
Irrigation Management ◽  
Equation Modeling ◽  
Participatory Institutions ◽  
Participatory Irrigation Management ◽  
Overall Performance ◽  
Institutional Features ◽  
The Impact

The basic objective of the irrigation reforms, i.e., participatory irrigation management in Pakistan, was a better economic and financial management of irrigation service delivery, equity in water distribution, and better environmental outcome. The aim of this study was to assess the optimism with the reforms package that has actually delivered expected outcomes. For this purpose, this study used a cross-sectional dataset of 567 farmers in five selected Area Water Boards (AWBs) of Punjab and Sindh provinces of Pakistan. Important institutional features including compliance, adaptiveness, clarity of objectives, good interaction, and appropriate scale, were modeled through structural equation modeling on the overall performance assessment of water use associations from a farmer’s perspective. Results suggested that clear objectives, adaptiveness, scale, and compliance show a strong relationship with an overall assessment of performance. While good interaction has not impacted significantly with an overall performance assessment. The impact of institutional feature on the overall performance assessment depends on the nature of performance considered, e.g., drivers of the economic performance of a farmer organization may not be the same as the drivers of its environmental performance. Besides offering insights on specific drivers that matter for a particular dimension of the institutional performance of farmer organizations, the study suggests that participatory irrigation management institutions are still in infancy even after decades of their introduction, and just creating institutions is neither mandatory nor sufficient. Furthermore, the institutional designs are considered critical for the success of participatory institutions. Therefore, there is a need to consider the conformity of the strategies with the existing norms and compliance to the on-going procedures.

scholarly journals Toxic leadership and collective organizational engagement: Does employee voice mediate the effect?

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Keyword(s):  
Employee Engagement ◽  
Structural Equation ◽  
Service Sector ◽  
Employee Voice ◽  
Equation Modeling ◽  
Voice Behavior ◽  
Toxic Leadership ◽  
Negative Effects ◽  
Organizational Engagement ◽  
The Impact

Drawing upon the theory of planned behavior, this study aims to observe the role of employee voice in abating the impact of toxic leadership on collective organizational engagement. The performance of the firm is highly dependent on employee engagement and leadership plays a vital role in engaging employees towards collective goals. This study used the snowball sampling technique to collect data from the Pakistan service sector. A self-reported questionnaire was used to collect data from the said sector, the sample size was 223 employees working in telecommunication, banks, and insurance companies. Thus, literature proposes that the phenomenon of toxic leadership exists at every workplace and has negative effects on the organization. Previously toxic leadership has been studied only as a predictor of negative outcomes only. Therefore current study argues that even though toxic leadership decreases the collective organizational engagement, however, this relationship can be transformed via employee proactive voice behavior. Results obtained through Structural Equation Modeling (SEM) show that although leaders’ toxicity disengages employees at the workplace they look engaged. Structural relation of toxic leadership with employee voice has proved significant which indicates that employee raises voice against the leader’s bad behavior; it keeps them engaged as they perceive organization cares their voice. Thus, this study recommends that employee voice behavior should be promoted at the organization to neutralize the toxic leadership effect on collective organizational engagement. Present study where advances the literature on toxic leadership has practical implications for the managers as well. As toxic leadership overshadows the effects of positive leadership thus to avoid the negative effects of toxic leadership; top management should promote collective engagement through employee voice behavior to accomplish firm performance. Presently this study attempts to enrich the literature by empirically testing the proposed relationship and also provided future insights on toxic leadership to the researchers.

scholarly journals Determinant Factors of Customers Switching Behavior to Customer Satisfaction and Loyalty in Online Transportation Users in Bandung

2020 ◽  
Vol 11 (1) ◽  
pp. 12-26
Author(s):  
Bethani Suryawardani ◽  
Astri Wulandari
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Structural Equation ◽  
Service Industry ◽  
Human Life ◽  
Sem Analysis ◽  
Switching Behavior ◽  
Equation Modeling ◽  
Price Promotion ◽  
The Impact

This study was aimed to find out which factors that become the most influence on customers switching behavior for online transportation and how the impact on their satisfaction and loyalty for future consumption. Transportation service is one of the service industry sectors that play a strategic role in human life. The intense competition in the online transportation industry and the various choice of brands in the market make the consumers easy to switch from their current product to other brand products. The research method used in this study was a quantitative method, with Structural Equation Modeling (SEM) analysis technique using SMART PLS 2.0 software. The sampling method used was accidental sampling with 400 respondents. The results of the study showed that the contribution of price, promotion and e-service quality simultaneously influenced on which directly affected customer satisfaction was 64.9%. Whereas, the results of the study also showed the contribution of price, promotion, e-service quality and customer satisfaction simultaneously influenced on which directly affected customer loyalty was 48.3%. E-service quality has the biggest impact on customer satisfaction by 30.69%; meanwhile,  promotion has the biggest impact on loyalty by 3.17%.

scholarly journals Pengaruh Financial Socialization, Financial Knowledge, Financial Experience terhadap Financial Management Behavior dengan Locus of Control sebagai Variabel Mediasi pada Pengguna Paylater

2021 ◽  
Vol 9 (3) ◽  
pp. 863-875
Author(s):  
Vicky Pradita Dewanti ◽  
Nadia Asandimitra
Keyword(s):  
Locus Of Control ◽  
Financial Management ◽  
Structural Equation ◽  
Sem Analysis ◽  
Financial Knowledge ◽  
Equation Modeling ◽  
Financial Socialization ◽  
Snowball Sampling ◽  
Online Data ◽  
Management Behaviour

The research of this study investigates financial management behaviour among the user of the Paylater in Surabaya. It also analyzes the relationship between financial socialization, financial knowledge, financial experience, and locus of control as a mediating variable. This research is conclusive causality, used purposive sampling and snowball sampling techniques. The total number of respondents obtained was 234 respondents by distributing questionnaires online. Data analyzed using the Structural Equation Modeling (SEM) analysis technique in the AMOS software. The results show that financial knowledge significantly impacts financial management behaviour, while financial socialization, financial experience, and locus of control do not affect financial management behaviour. The mediation testing result shows that locus of control cannot mediate between financial knowledge and financial management behaviour. Because the sample dominant is the student and age range between 15 and 24, almost all of them still have income from their parents, so they can not manage financial independence to the greatest extent and do not have much experience related to finance. It was also caused by female respondents who often engage in impulsive buying. This study could be helpful to references for various parties, especially Paylater users, to be responsible for making financial decisions and wise in managing their finances.

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