Pub Date : 2021-05-06DOI: 10.1177/09722629211011811
N. Tripathy, Shekhar Mishra
The present article examines the relationship between economic growth and financial development in the context of Indian economy over the period of 15 years from June 2003 to February 2018. The study employs cointegration test, involving Johansen Juselius Cointegration and autoregressive distributed lag (ARDL) Bounds test approach to ascertain the long-run relationship between financial development and economic growth. The study further employs fully modified ordinary least squares—OLS—(FMOLS), dynamic OLS (DOLS) and canonical cointegration regression (CCR) models to ascertain the sensitivity and robustness of the estimates derived from ARDL Bounds test approach. The stability of the models employed in the study are further confirmed by rolling window analysis and the cumulative sum (CUSUM) and cumulative sum of squares (CUSUMSQ) tests. The outcome of the article reports the existence of long-run equilibrium relationship between economic growth represented by Index of Industrial Production and Financial Development represented by the Bombay Stock Exchange (BSE) Index and BSE Volume of Trade. The article also involves consumer price index as proxy for inflation, exchange rate, ratio of export to import and weighted average call rate as control variable to also examine their impact on the Indian economic growth. The study confirms the existence of Supply Leading Hypothesis, that is, existence of unidirectional causality running from financial development to economic growth in the Indian economic scenario. The outcome of the article indicates the positive and significant influence of development of financial markets represented by stock market on the economic growth.
{"title":"The Dynamics of Cointegration Between Economic Growth and Financial Development in Emerging Asian Economy: Evidence from India","authors":"N. Tripathy, Shekhar Mishra","doi":"10.1177/09722629211011811","DOIUrl":"https://doi.org/10.1177/09722629211011811","url":null,"abstract":"The present article examines the relationship between economic growth and financial development in the context of Indian economy over the period of 15 years from June 2003 to February 2018. The study employs cointegration test, involving Johansen Juselius Cointegration and autoregressive distributed lag (ARDL) Bounds test approach to ascertain the long-run relationship between financial development and economic growth. The study further employs fully modified ordinary least squares—OLS—(FMOLS), dynamic OLS (DOLS) and canonical cointegration regression (CCR) models to ascertain the sensitivity and robustness of the estimates derived from ARDL Bounds test approach. The stability of the models employed in the study are further confirmed by rolling window analysis and the cumulative sum (CUSUM) and cumulative sum of squares (CUSUMSQ) tests. The outcome of the article reports the existence of long-run equilibrium relationship between economic growth represented by Index of Industrial Production and Financial Development represented by the Bombay Stock Exchange (BSE) Index and BSE Volume of Trade. The article also involves consumer price index as proxy for inflation, exchange rate, ratio of export to import and weighted average call rate as control variable to also examine their impact on the Indian economic growth. The study confirms the existence of Supply Leading Hypothesis, that is, existence of unidirectional causality running from financial development to economic growth in the Indian economic scenario. The outcome of the article indicates the positive and significant influence of development of financial markets represented by stock market on the economic growth.","PeriodicalId":49121,"journal":{"name":"Spatial Vision","volume":"51 1","pages":"485 - 497"},"PeriodicalIF":0.0,"publicationDate":"2021-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86568131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-04DOI: 10.1177/09722629211004293
Megha Jain, Simrit Kaur
Though the demand for industrial energy by manufacturing firms has witnessed substantial growth, not enough evidence exists regarding the energy intensity trends of such firms. Furthermore, empirical evidence on the determinants of energy intensity trends or even the energy intensity levels per se remains limited. Given this gap, the present article analyses the determinants of energy intensity trends (and also the energy intensity levels) of Indian manufacturing firms over the period 2007–2017. This study has been undertaken with special reference to the metallic industry. A sample of 41 firms is analysed by grouping them into 3 categories, namely firms with increasing energy intensity trends (IEITs), decreasing energy intensity trends (DEITs) and relatively constant energy intensity trends (CEITs) over the stated period. Multinomial logistic model (MLM) is employed to examine the determinants of energy intensity trends for the three categories. Our pertinent findings are as follows: firms with higher labour intensity and also older firms have a greater probability of belonging to the category of DEIT firms vis-à-vis the reference category of IEIT firms. Furthermore, size per se does not significantly impact the probability of a firm belonging to any specific category of energy intensity trend; nevertheless, evidence shows that large-sized firms, though old, have a greater probability of belonging to the DEIT category. Rather surprisingly, R&D intensity has been estimated to have a non-significant impact on the probability of belonging to the DEIT group of firms. However, although R&D-intensive firms have a higher profitability, their impacts remain both favourable and significant. Evidence also suggests that an increase in capital intensity and profitability lowers the probability of a firm to belong to the DEIT category. Additionally, a pooled (panel) econometric analysis has also been undertaken wherein the ‘level’ of energy intensity is considered as the dependent variable and not the ‘trend’ in energy intensity. Important findings also emerge from this analysis. Finally, we conclude from a broad policy perspective.
{"title":"Determinants of Energy Intensity Trends in Indian Metallic Industry: A Firm-level Analysis","authors":"Megha Jain, Simrit Kaur","doi":"10.1177/09722629211004293","DOIUrl":"https://doi.org/10.1177/09722629211004293","url":null,"abstract":"Though the demand for industrial energy by manufacturing firms has witnessed substantial growth, not enough evidence exists regarding the energy intensity trends of such firms. Furthermore, empirical evidence on the determinants of energy intensity trends or even the energy intensity levels per se remains limited. Given this gap, the present article analyses the determinants of energy intensity trends (and also the energy intensity levels) of Indian manufacturing firms over the period 2007–2017. This study has been undertaken with special reference to the metallic industry. A sample of 41 firms is analysed by grouping them into 3 categories, namely firms with increasing energy intensity trends (IEITs), decreasing energy intensity trends (DEITs) and relatively constant energy intensity trends (CEITs) over the stated period. Multinomial logistic model (MLM) is employed to examine the determinants of energy intensity trends for the three categories. Our pertinent findings are as follows: firms with higher labour intensity and also older firms have a greater probability of belonging to the category of DEIT firms vis-à-vis the reference category of IEIT firms. Furthermore, size per se does not significantly impact the probability of a firm belonging to any specific category of energy intensity trend; nevertheless, evidence shows that large-sized firms, though old, have a greater probability of belonging to the DEIT category. Rather surprisingly, R&D intensity has been estimated to have a non-significant impact on the probability of belonging to the DEIT group of firms. However, although R&D-intensive firms have a higher profitability, their impacts remain both favourable and significant. Evidence also suggests that an increase in capital intensity and profitability lowers the probability of a firm to belong to the DEIT category. Additionally, a pooled (panel) econometric analysis has also been undertaken wherein the ‘level’ of energy intensity is considered as the dependent variable and not the ‘trend’ in energy intensity. Important findings also emerge from this analysis. Finally, we conclude from a broad policy perspective.","PeriodicalId":49121,"journal":{"name":"Spatial Vision","volume":"13 1","pages":"360 - 375"},"PeriodicalIF":0.0,"publicationDate":"2021-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86555531","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-05-01DOI: 10.1177/0972262921999866
R. James
Research on engagement has gained considerable attention in recent years as it is a strong predictor of a range of positive individual and organizational outcomes. There is a question of why the level of the engagement is different from employee to employee in an organization, though they are provided with the same resources. This study aims to investigate the influence of fit perception on engagement and the role of the employee’s psychological condition (work meaningfulness) on this relationship. This study mainly employed a survey research strategy, and data were primarily garnered from a questionnaire. This study was conducted among 145 respondents from the public sector organizations in Sri Lanka. Partial least-square structural equation modelling was employed to analyse the generated data. In this study, the researcher has conceptualized fit perception as a higher order construct comprising Person Job fit and Person Organization fit. The study revealed that fit perception positively influences employee engagement, and this relationship is mediated by work meaningfulness. This study contributes to the literature by deepening the understanding of the fit perception and engagement relationship by introducing work meaningfulness as a mediator variable. By highlighting how engagement is influenced by fit perception and work meaningfulness, this study facilitates practitioners to build and maintain an engaged workforce. Further contributions of this study, the avenue for future research, and study limitations are presented in detail at the end of this article.
{"title":"Fit Perception and Engagement: The Mediating Role of Work Meaningfulness","authors":"R. James","doi":"10.1177/0972262921999866","DOIUrl":"https://doi.org/10.1177/0972262921999866","url":null,"abstract":"Research on engagement has gained considerable attention in recent years as it is a strong predictor of a range of positive individual and organizational outcomes. There is a question of why the level of the engagement is different from employee to employee in an organization, though they are provided with the same resources. This study aims to investigate the influence of fit perception on engagement and the role of the employee’s psychological condition (work meaningfulness) on this relationship. This study mainly employed a survey research strategy, and data were primarily garnered from a questionnaire. This study was conducted among 145 respondents from the public sector organizations in Sri Lanka. Partial least-square structural equation modelling was employed to analyse the generated data. In this study, the researcher has conceptualized fit perception as a higher order construct comprising Person Job fit and Person Organization fit. The study revealed that fit perception positively influences employee engagement, and this relationship is mediated by work meaningfulness. This study contributes to the literature by deepening the understanding of the fit perception and engagement relationship by introducing work meaningfulness as a mediator variable. By highlighting how engagement is influenced by fit perception and work meaningfulness, this study facilitates practitioners to build and maintain an engaged workforce. Further contributions of this study, the avenue for future research, and study limitations are presented in detail at the end of this article.","PeriodicalId":49121,"journal":{"name":"Spatial Vision","volume":"20 1","pages":"474 - 484"},"PeriodicalIF":0.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89625046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-30DOI: 10.1177/09722629211012256
S. Shankar, Vijayshri Tewari
This article critically analyses concepts and models in support of collective intelligence (CI) and collective emotional intelligence (CEI) and their potential impacts on the organizations’ teams. CI and CEI have claimed to have an effect on the substantial range of activities, including employee initiation, participation, performance, loyalty and decision-making. Review of literature confirms that people with high degrees of cognitive and emotional intelligence display a multitude of abilities. Dynamic personal relationships, successful teams, analytical expertise and higher mental health are present in people with high intelligence quotient (IQ) and emotional quotient (EQ). Thus, this research tries to examine the combination of factors that affect the psychological safety by trying to create hypotheses between its antecedents and team psychological safety and then tries to create the analytical relationship among them.
{"title":"Impact of Collective Intelligence and Collective Emotional Intelligence on the Psychological Safety of the Organizations","authors":"S. Shankar, Vijayshri Tewari","doi":"10.1177/09722629211012256","DOIUrl":"https://doi.org/10.1177/09722629211012256","url":null,"abstract":"This article critically analyses concepts and models in support of collective intelligence (CI) and collective emotional intelligence (CEI) and their potential impacts on the organizations’ teams. CI and CEI have claimed to have an effect on the substantial range of activities, including employee initiation, participation, performance, loyalty and decision-making. Review of literature confirms that people with high degrees of cognitive and emotional intelligence display a multitude of abilities. Dynamic personal relationships, successful teams, analytical expertise and higher mental health are present in people with high intelligence quotient (IQ) and emotional quotient (EQ). Thus, this research tries to examine the combination of factors that affect the psychological safety by trying to create hypotheses between its antecedents and team psychological safety and then tries to create the analytical relationship among them.","PeriodicalId":49121,"journal":{"name":"Spatial Vision","volume":"344 1","pages":"458 - 473"},"PeriodicalIF":0.0,"publicationDate":"2021-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77146755","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-29DOI: 10.1177/09722629211003358
Gurmeet Singh, Ravi Singla
Default risk is associated with the probability that a leveraged firm is not able to pay its financial obligation on time. Relationship between default risk and stock returns is very important from investor’s point of view because it has important implication for risk and return trade off. Relationship between default risk and returns is debatable issue and contradictory results are found in the literature regarding the relationship between default risk and stock returns. Default risk assessment helps the investors and lenders to accurately assess the risks to which investors or lenders are exposed. There are several models which can be used to assess the probability of default. In the present study, the widely used Altman’s Z-score model is used as a measure of default risk to find out the relationship between default risk and stock returns using simple linear regression analysis. It is found that Altman’s Z-score can be used as a measure of default risk and results indicate the existence of positive relationship between Z-score and stock return and hence a negative relationship between default risk and stock return.
{"title":"Default Risk and Stock Returns: Evidence from Indian Corporate Sector","authors":"Gurmeet Singh, Ravi Singla","doi":"10.1177/09722629211003358","DOIUrl":"https://doi.org/10.1177/09722629211003358","url":null,"abstract":"Default risk is associated with the probability that a leveraged firm is not able to pay its financial obligation on time. Relationship between default risk and stock returns is very important from investor’s point of view because it has important implication for risk and return trade off. Relationship between default risk and returns is debatable issue and contradictory results are found in the literature regarding the relationship between default risk and stock returns. Default risk assessment helps the investors and lenders to accurately assess the risks to which investors or lenders are exposed. There are several models which can be used to assess the probability of default. In the present study, the widely used Altman’s Z-score model is used as a measure of default risk to find out the relationship between default risk and stock returns using simple linear regression analysis. It is found that Altman’s Z-score can be used as a measure of default risk and results indicate the existence of positive relationship between Z-score and stock return and hence a negative relationship between default risk and stock return.","PeriodicalId":49121,"journal":{"name":"Spatial Vision","volume":"17 1","pages":"347 - 359"},"PeriodicalIF":0.0,"publicationDate":"2021-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90226963","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-26DOI: 10.1177/09722629211010990
Reetika Sehgal, Prateek Khanna, Mayank Malviya, A. Dubey
The COVID-19 pandemic presents the greatest test the world has faced. On 24 March 2020, the Government of India announced a 21-days national lockdown that had been extended to 3 May 2020. In this pandemic, the consumer faced unforeseen challenges to deal with the abrupt change in shopping practices. A safety measure is one of the key elements in consumer shopping behaviour across the world and today consumers are more conscious towards healthiness. The current work aspires to identify the factors of safety measures by consumers and shopkeepers. Twenty-eight variables were identified from the extensive literature review and a total of 751 questionnaires were administered from consumers regarding safety measures from 1 April to 31 May 2020 in India. Exploratory factors analysis and multiple regression analysis are conducted to identify the factors which are prominent for shopping safety practices. The results obtained can be useful to consumers and shopkeepers in the decision-making process during pandemic.
{"title":"Shopping Safety Practices Mutate Consumer Buying Behaviour during COVID-19 Pandemic","authors":"Reetika Sehgal, Prateek Khanna, Mayank Malviya, A. Dubey","doi":"10.1177/09722629211010990","DOIUrl":"https://doi.org/10.1177/09722629211010990","url":null,"abstract":"The COVID-19 pandemic presents the greatest test the world has faced. On 24 March 2020, the Government of India announced a 21-days national lockdown that had been extended to 3 May 2020. In this pandemic, the consumer faced unforeseen challenges to deal with the abrupt change in shopping practices. A safety measure is one of the key elements in consumer shopping behaviour across the world and today consumers are more conscious towards healthiness. The current work aspires to identify the factors of safety measures by consumers and shopkeepers. Twenty-eight variables were identified from the extensive literature review and a total of 751 questionnaires were administered from consumers regarding safety measures from 1 April to 31 May 2020 in India. Exploratory factors analysis and multiple regression analysis are conducted to identify the factors which are prominent for shopping safety practices. The results obtained can be useful to consumers and shopkeepers in the decision-making process during pandemic.","PeriodicalId":49121,"journal":{"name":"Spatial Vision","volume":"16 1","pages":"604 - 615"},"PeriodicalIF":0.0,"publicationDate":"2021-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74646753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-26DOI: 10.1177/09722629211007579
R. Krishna, Jaydeep Mukherjee
Infrastructure has a strong, positive correlation with economic growth, making it a preferred instrument for the government to achieve post-pandemic economic recovery. Other large economies too are similarly investing in infrastructure. Indian projects will thus need to compete with other global projects for financing, investors, technology and developers. It is therefore necessary to improve the attractiveness and marketability of India’s infrastructure projects by reducing risks and improving visibility of projects. With increased competition and changes in the environment, the risks of future cash flows from infrastructure investments have increased manifold. This paper examines the perceived risks in the entire lifecycle of infrastructure projects from infrastructure planning to project planning, bidding, implementation and operations along with best practices in each area. A long-term vision for the infrastructure development will provide visibility to projects for the current National Infrastructure Pipeline. The development of the entire project delivery ecosystem requires initiatives in capacity building in the technical, financial and entrepreneurial resources, and engagement with project affected people. Other desirable outcomes of infrastructure investments, for example, job creation, sustainability and reduction in disparity are also discussed. The paper presents a perspective for revitalizing infrastructure development in India so that its efficacy for post-pandemic economic recovery is enhanced.
{"title":"Revitalizing Infrastructure Sector to Accelerate Economic Recovery in India","authors":"R. Krishna, Jaydeep Mukherjee","doi":"10.1177/09722629211007579","DOIUrl":"https://doi.org/10.1177/09722629211007579","url":null,"abstract":"Infrastructure has a strong, positive correlation with economic growth, making it a preferred instrument for the government to achieve post-pandemic economic recovery. Other large economies too are similarly investing in infrastructure. Indian projects will thus need to compete with other global projects for financing, investors, technology and developers. It is therefore necessary to improve the attractiveness and marketability of India’s infrastructure projects by reducing risks and improving visibility of projects. With increased competition and changes in the environment, the risks of future cash flows from infrastructure investments have increased manifold. This paper examines the perceived risks in the entire lifecycle of infrastructure projects from infrastructure planning to project planning, bidding, implementation and operations along with best practices in each area. A long-term vision for the infrastructure development will provide visibility to projects for the current National Infrastructure Pipeline. The development of the entire project delivery ecosystem requires initiatives in capacity building in the technical, financial and entrepreneurial resources, and engagement with project affected people. Other desirable outcomes of infrastructure investments, for example, job creation, sustainability and reduction in disparity are also discussed. The paper presents a perspective for revitalizing infrastructure development in India so that its efficacy for post-pandemic economic recovery is enhanced.","PeriodicalId":49121,"journal":{"name":"Spatial Vision","volume":"9 1","pages":"295 - 299"},"PeriodicalIF":0.0,"publicationDate":"2021-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90611221","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-04-23DOI: 10.1177/09722629211004374
S. Srivastava, Supriyo Roy
Investments made by investors contribute to both inflow and outflow of funds in the capital market. Investment decision making is complex due to its uncertain behaviour. In literature, there is evidence of a gap between intention and behaviour among other aspects of human behaviour like consumer buying behaviour. Therefore, this study explores the intention–behaviour gap in investment behaviour of retail investors by examining the effect of two moderators, namely risk propensity (RP) and opinion of stakeholders (OPI). The present study also focuses on identifying financial and non-financial factors influencing equity investment intention (EII) and measures its impact on equity investment behaviour (EIB). A model is, thus, conceptualized and hypotheses have been developed accordingly. For validation of the model, a set of primary data of retail investors is collected (through questionnaire framing) and the hypotheses are tested by using advanced statistical techniques, namely structural equation modelling. The outcomes of this study signify the impact of EII that catapults behavioural approach in investment decision making for any potential investor in the near future.
{"title":"Impact of Equity Investment Intention Towards Behaviour: An Empirical Analysis","authors":"S. Srivastava, Supriyo Roy","doi":"10.1177/09722629211004374","DOIUrl":"https://doi.org/10.1177/09722629211004374","url":null,"abstract":"Investments made by investors contribute to both inflow and outflow of funds in the capital market. Investment decision making is complex due to its uncertain behaviour. In literature, there is evidence of a gap between intention and behaviour among other aspects of human behaviour like consumer buying behaviour. Therefore, this study explores the intention–behaviour gap in investment behaviour of retail investors by examining the effect of two moderators, namely risk propensity (RP) and opinion of stakeholders (OPI). The present study also focuses on identifying financial and non-financial factors influencing equity investment intention (EII) and measures its impact on equity investment behaviour (EIB). A model is, thus, conceptualized and hypotheses have been developed accordingly. For validation of the model, a set of primary data of retail investors is collected (through questionnaire framing) and the hypotheses are tested by using advanced statistical techniques, namely structural equation modelling. The outcomes of this study signify the impact of EII that catapults behavioural approach in investment decision making for any potential investor in the near future.","PeriodicalId":49121,"journal":{"name":"Spatial Vision","volume":"1 1","pages":"329 - 346"},"PeriodicalIF":0.0,"publicationDate":"2021-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89927122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study conducted a systematic review and meta-analysis to examine the relationship between emotional intelligence, personality variables (Big V personality traits, self-esteem, self-efficacy, optimism and proactive personality) and career adaptability of students. Data were coded on CMA software version 3.0. Product–moment correlation coefficient (r) was considered as the effect size measure for this study. Publication bias was assessed using Egger’s regression test along with Orwin’s fail-safe N, but no significant publication bias was detected. From the results of 54 studies, it was found that all variables of the study had meta-analytic correlation with career adaptability of students. For heterogeneity, subgroup analysis was conducted, and significant differences were found.
{"title":"Emotional intelligence, Personality Variables and Career Adaptability: A Systematic Review and Meta-analysis","authors":"Sakshi Vashisht, Poonam Kaushal, Ravikant Vashisht","doi":"10.1177/0972262921989877","DOIUrl":"https://doi.org/10.1177/0972262921989877","url":null,"abstract":"This study conducted a systematic review and meta-analysis to examine the relationship between emotional intelligence, personality variables (Big V personality traits, self-esteem, self-efficacy, optimism and proactive personality) and career adaptability of students. Data were coded on CMA software version 3.0. Product–moment correlation coefficient (r) was considered as the effect size measure for this study. Publication bias was assessed using Egger’s regression test along with Orwin’s fail-safe N, but no significant publication bias was detected. From the results of 54 studies, it was found that all variables of the study had meta-analytic correlation with career adaptability of students. For heterogeneity, subgroup analysis was conducted, and significant differences were found.","PeriodicalId":49121,"journal":{"name":"Spatial Vision","volume":"13 1","pages":"316 - 328"},"PeriodicalIF":0.0,"publicationDate":"2021-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87556292","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-03-20DOI: 10.1177/0972262921992593
Devika Sharma, Balgopal Singh
Emergence of technology has not only boosted the growth of customer engagement but has also paved way for customers to become active co-creators with the firms. Customer engagement activities are taking over the customer relationship building activities in the present scenario. Customers’ experience with a particular brand has its impact on satisfaction levels and their repurchasing intention in future as well. According to Rosetta Consulting report an engaged customer is likely to buy 90% more frequently and may spend 300% more than other customers. Hence, the present has tried to understand the mediating role of satisfaction on customer engagement in retaining the customers or persuading the customers to repurchase. The results show that there exists a significant mediation effect of customer satisfaction in influencing their repeat purchase behaviour.
{"title":"Understanding the Relationship Between Customer Satisfaction, Customer Engagement and Repeat Purchase Behaviour","authors":"Devika Sharma, Balgopal Singh","doi":"10.1177/0972262921992593","DOIUrl":"https://doi.org/10.1177/0972262921992593","url":null,"abstract":"Emergence of technology has not only boosted the growth of customer engagement but has also paved way for customers to become active co-creators with the firms. Customer engagement activities are taking over the customer relationship building activities in the present scenario. Customers’ experience with a particular brand has its impact on satisfaction levels and their repurchasing intention in future as well. According to Rosetta Consulting report an engaged customer is likely to buy 90% more frequently and may spend 300% more than other customers. Hence, the present has tried to understand the mediating role of satisfaction on customer engagement in retaining the customers or persuading the customers to repurchase. The results show that there exists a significant mediation effect of customer satisfaction in influencing their repeat purchase behaviour.","PeriodicalId":49121,"journal":{"name":"Spatial Vision","volume":"1 1","pages":"449 - 457"},"PeriodicalIF":0.0,"publicationDate":"2021-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90152389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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