Pub Date : 2023-05-26DOI: 10.1108/jibr-06-2023-385
A. Mishra
{"title":"Guest editorial: Digital decade: e-learning, e-business, and e-working","authors":"A. Mishra","doi":"10.1108/jibr-06-2023-385","DOIUrl":"https://doi.org/10.1108/jibr-06-2023-385","url":null,"abstract":"","PeriodicalId":45364,"journal":{"name":"Journal of Indian Business Research","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43331081","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 : 2023-05-16DOI: 10.1108/jibr-11-2022-0283
C. Wagner, A. Delios
Purpose Unlike the traditional growth model of emerging markets after economic liberalization, India’s inward foreign direct investment (FDI) surged paralleling its strong economic growth in the 2000s, despite the failure to establish a strong secondary sector. This creates an opportunity to deepen the conceptual and contextual understanding of the pivotal mechanisms that impel foreign multinational enterprises to invest into India and provides a natural setting to better understand the nature of its institutional, political and economic environment. Design/methodology/approach The authors develop a theory contextualized to Indian inward FDI patterns for the 2000–2017 period. The theoretical framework expands upon received investment motives, with explicit consideration given to the idiosyncrasies of developments in India’s recent macro and socioeconomic environment. The authors test the hypotheses using panel data from 134 countries that invested in India, using a Hausman–Taylor estimation. Findings The authors find that India’s transition toward a knowledge economy attracts asset augmenting rather than asset exploiting FDI. Investors appear to target long-term investments by gaining access to India’s digital capabilities, R&D, and growing talent base with a high degree of specialization within analytics, biotechnology, engineering, or pharmaceuticals. Foreign investors do not seem to be notably deterred by infrastructural challenges nor by legal and regulatory restrictions. Originality/value By providing a new perspective on India’s atheoretical economic development and FDI environment, this study offers a distinct point of comparison with regard to established hypotheses within the extant literature on FDI into emerging markets. Rethinking contemporary investment motive theory by introducing an adapted conceptual framework provides further opportunity to inform the understanding of firm strategies in similar environments.
{"title":"The determinants of inward FDI in India in the 2000s","authors":"C. Wagner, A. Delios","doi":"10.1108/jibr-11-2022-0283","DOIUrl":"https://doi.org/10.1108/jibr-11-2022-0283","url":null,"abstract":"\u0000Purpose\u0000Unlike the traditional growth model of emerging markets after economic liberalization, India’s inward foreign direct investment (FDI) surged paralleling its strong economic growth in the 2000s, despite the failure to establish a strong secondary sector. This creates an opportunity to deepen the conceptual and contextual understanding of the pivotal mechanisms that impel foreign multinational enterprises to invest into India and provides a natural setting to better understand the nature of its institutional, political and economic environment.\u0000\u0000\u0000Design/methodology/approach\u0000The authors develop a theory contextualized to Indian inward FDI patterns for the 2000–2017 period. The theoretical framework expands upon received investment motives, with explicit consideration given to the idiosyncrasies of developments in India’s recent macro and socioeconomic environment. The authors test the hypotheses using panel data from 134 countries that invested in India, using a Hausman–Taylor estimation.\u0000\u0000\u0000Findings\u0000The authors find that India’s transition toward a knowledge economy attracts asset augmenting rather than asset exploiting FDI. Investors appear to target long-term investments by gaining access to India’s digital capabilities, R&D, and growing talent base with a high degree of specialization within analytics, biotechnology, engineering, or pharmaceuticals. Foreign investors do not seem to be notably deterred by infrastructural challenges nor by legal and regulatory restrictions.\u0000\u0000\u0000Originality/value\u0000By providing a new perspective on India’s atheoretical economic development and FDI environment, this study offers a distinct point of comparison with regard to established hypotheses within the extant literature on FDI into emerging markets. Rethinking contemporary investment motive theory by introducing an adapted conceptual framework provides further opportunity to inform the understanding of firm strategies in similar environments.\u0000","PeriodicalId":45364,"journal":{"name":"Journal of Indian Business Research","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45575544","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 : 2023-03-15DOI: 10.1108/jibr-03-2021-0113
Dolly Gaur, Kanishka Gupta
Purpose Intellectual capital (IC) is beneficial to the improved performance of businesses, irrespective of their industry. The present study proposes to check if the use of IC can also help in improving the asset quality of banks. Thus, this study aims to examine the impact of IC and its components on non-performing assets (NPAs). Design/methodology/approach The study has been conducted with a sample of 30 Indian commercial banks and analysed over a time frame of 15 years (2004–2005 to 2018–2019). The modified value-added intellectual coefficient model has been used to measure the independent variables, IC, and its components. The dependent variable, NPA, has been represented by the net NPA ratio. Two-step system generalized methods of moments (SGMMs) have been applied for the regression analysis. Along with the short-term estimates provided by the SGMM approach, the long-term impact of explanatory variables on the dependent variables has also been seen. Findings The results of the study show that IC and its components are indeed helpful for the management of NPA, as they impact the problem loans negatively. Furthermore, the long-term benefits of IC in enhancing bank credit quality are more substantial. Practical implications The results from the present study can be used by bank management. The bank managers can draw inferences that the efficient application of IC can help them reduce their loan losses. Developing skills and knowledge of employees, maintaining close relations with stakeholders, significantly the customers, and putting more sophisticated processes and infrastructure to use can help banks to control their loan losses. Originality/value A major proportion of studies examining the role of intangible assets in various aspects of the banking sector focuses on the association between IC and the financial performance of banking entities. However, for banking institutions, apart from financial performance, improving credit quality is also imperative for staying afloat. Thus, to the best of the authors’ knowledge, the present study is one of the first to examine the relationship between knowledge-based assets (i.e. IC) and bank credit quality.
{"title":"Intellectual capital and non-performing assets: the role of knowledge assets in improving credit quality of Indian banking sector","authors":"Dolly Gaur, Kanishka Gupta","doi":"10.1108/jibr-03-2021-0113","DOIUrl":"https://doi.org/10.1108/jibr-03-2021-0113","url":null,"abstract":"\u0000Purpose\u0000Intellectual capital (IC) is beneficial to the improved performance of businesses, irrespective of their industry. The present study proposes to check if the use of IC can also help in improving the asset quality of banks. Thus, this study aims to examine the impact of IC and its components on non-performing assets (NPAs).\u0000\u0000\u0000Design/methodology/approach\u0000The study has been conducted with a sample of 30 Indian commercial banks and analysed over a time frame of 15 years (2004–2005 to 2018–2019). The modified value-added intellectual coefficient model has been used to measure the independent variables, IC, and its components. The dependent variable, NPA, has been represented by the net NPA ratio. Two-step system generalized methods of moments (SGMMs) have been applied for the regression analysis. Along with the short-term estimates provided by the SGMM approach, the long-term impact of explanatory variables on the dependent variables has also been seen.\u0000\u0000\u0000Findings\u0000The results of the study show that IC and its components are indeed helpful for the management of NPA, as they impact the problem loans negatively. Furthermore, the long-term benefits of IC in enhancing bank credit quality are more substantial.\u0000\u0000\u0000Practical implications\u0000The results from the present study can be used by bank management. The bank managers can draw inferences that the efficient application of IC can help them reduce their loan losses. Developing skills and knowledge of employees, maintaining close relations with stakeholders, significantly the customers, and putting more sophisticated processes and infrastructure to use can help banks to control their loan losses.\u0000\u0000\u0000Originality/value\u0000A major proportion of studies examining the role of intangible assets in various aspects of the banking sector focuses on the association between IC and the financial performance of banking entities. However, for banking institutions, apart from financial performance, improving credit quality is also imperative for staying afloat. Thus, to the best of the authors’ knowledge, the present study is one of the first to examine the relationship between knowledge-based assets (i.e. IC) and bank credit quality.\u0000","PeriodicalId":45364,"journal":{"name":"Journal of Indian Business Research","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43518500","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 : 2023-03-03DOI: 10.1108/jibr-03-2023-384
Piyush Sharma, P. Subbarao, A. Sane, Jivan P. Biradar
{"title":"Guest editorial: Innovative practices in business, trade and commerce – challenges and opportunities","authors":"Piyush Sharma, P. Subbarao, A. Sane, Jivan P. Biradar","doi":"10.1108/jibr-03-2023-384","DOIUrl":"https://doi.org/10.1108/jibr-03-2023-384","url":null,"abstract":"","PeriodicalId":45364,"journal":{"name":"Journal of Indian Business Research","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43642407","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}
Purpose This study aims to analyze the available literature on the use of digital marketing and its impact on small- and medium-sized enterprises (SMEs). This study identifies the use of digital marketing practices and its impact on SMEs. Design/methodology/approach A systematic literature review has been conducted on digital marketing, and its implementation in SMEs. The impact of digital marketing on SMEs performance is observed over the past 12 years through the resources which are undertaken for the study, namely, Science Direct, Scopus, Springer, IEEE Explorer, ACM Digital Library, Engineering Village, ISI Web of Knowledge database is used to search the research publications on the selected topic. Findings Although some SME firms use digital marketing, their impact is not similar where we can recommend a fixed strategy for applying digital marketing. This review provides an insight into how digital marketing has evolved over the period of time and how SMEs are adopting it for their sustenance. Practical implications This study will give theoretical analysis of various benefits received by SMEs because of digital marketing in the different capacities helping organizations to uplift their productivity. Mind mapping will give the idea of impact of SMEs on their various performances in rural as well as in the urban areas. This study will give further scope for digital marketers to approach those industries specifically at rural parts of the nation for bringing change into their marketing operations and also for increasing turnover by the use of digital marketing. Originality/value Research on the use of digital marketing by SMEs firms is still at the embryonic stage in India. This study is a pioneering effort to review the use of digital marketing in SMEs and identify research priorities for scholars and practitioners.
目的本研究旨在分析有关数字营销的使用及其对中小企业的影响的现有文献。本研究确定了数字营销实践的使用及其对中小企业的影响。设计/方法/方法对数字营销及其在中小企业中的实施进行了系统的文献综述。数字营销对中小企业绩效的影响是在过去12年中观察到的 通过研究所需的资源，即Science Direct、Scopus、Springer、IEEE Explorer、ACM数字图书馆、Engineering Village、ISI Web of Knowledge数据库，检索所选主题的研究出版物。发现尽管一些中小企业使用数字营销，但在我们可以推荐应用数字营销的固定策略的地方，它们的影响并不相似。这篇综述深入了解了数字营销在一段时间内是如何发展的，以及中小企业是如何利用它来维持生计的。实践意义本研究将对中小企业在帮助组织提高生产力的不同能力下，因数字营销而获得的各种利益进行理论分析。思维导图将给出中小企业对其在农村和城市地区的各种表现的影响。这项研究将为数字营销人员提供进一步的空间，让他们能够接触到那些专门位于全国农村地区的行业，为他们的营销运营带来变革，并通过使用数字营销来增加营业额。创意/价值关于中小企业使用数字营销的研究在印度仍处于萌芽阶段。这项研究是一项开创性的工作，旨在回顾数字营销在中小企业中的应用，并确定学者和从业者的研究重点。
{"title":"A systematic literature review: digital marketing and its impact on SMEs","authors":"Gauri Girish Jadhav, Shubhangi Gaikwad, Dhananjay Bapat","doi":"10.1108/jibr-05-2022-0129","DOIUrl":"https://doi.org/10.1108/jibr-05-2022-0129","url":null,"abstract":"\u0000Purpose\u0000This study aims to analyze the available literature on the use of digital marketing and its impact on small- and medium-sized enterprises (SMEs). This study identifies the use of digital marketing practices and its impact on SMEs.\u0000\u0000\u0000Design/methodology/approach\u0000A systematic literature review has been conducted on digital marketing, and its implementation in SMEs. The impact of digital marketing on SMEs performance is observed over the past 12 years through the resources which are undertaken for the study, namely, Science Direct, Scopus, Springer, IEEE Explorer, ACM Digital Library, Engineering Village, ISI Web of Knowledge database is used to search the research publications on the selected topic.\u0000\u0000\u0000Findings\u0000Although some SME firms use digital marketing, their impact is not similar where we can recommend a fixed strategy for applying digital marketing. This review provides an insight into how digital marketing has evolved over the period of time and how SMEs are adopting it for their sustenance.\u0000\u0000\u0000Practical implications\u0000This study will give theoretical analysis of various benefits received by SMEs because of digital marketing in the different capacities helping organizations to uplift their productivity. Mind mapping will give the idea of impact of SMEs on their various performances in rural as well as in the urban areas. This study will give further scope for digital marketers to approach those industries specifically at rural parts of the nation for bringing change into their marketing operations and also for increasing turnover by the use of digital marketing.\u0000\u0000\u0000Originality/value\u0000Research on the use of digital marketing by SMEs firms is still at the embryonic stage in India. This study is a pioneering effort to review the use of digital marketing in SMEs and identify research priorities for scholars and practitioners.\u0000","PeriodicalId":45364,"journal":{"name":"Journal of Indian Business Research","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44055367","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 : 2023-02-08DOI: 10.1108/jibr-09-2021-0320
Poonam Mulchandani, Rajan Pandey, Byomakesh Debata
Purpose This paper aims to study the underpricing phenomenon of initial public offerings (IPOs) of 355 Indian companies issued from 2007 to 2019. The research question this paper empirically examines is whether Indian corporate executives deliberately underprice IPOs from its fair value to attract investors, thereby causing an abnormal spike in the prices on the listing day. The findings of this study challenge a commonly held notion of leaving money on the table by IPO issuing companies. Of the overall average listing day returns of 17%, the deliberate premarket underpricing component is found to be mere 5.3%, while the remaining price fluctuation is, inter alia, a result of market momentum along with the unmet demands of impatient investors. Design/methodology/approach Following Koop and Li (2001), this study uses Stochastic frontier model (SFM) to study a routine anomaly of disparity between the primary market price (i.e. IPO issue price) and the secondary market price (listing price). The jump in the issue price observed on a listing day is decomposed into deliberate premarket underpricing component that reflects the extent of managerial manipulation and the after-market misvaluation component attributable to information asymmetry and prevailing market volatility. Findings This paper uses SFM to bifurcate initial returns into deliberate underpricing by managers and after-market mispricing by noise traders. This study finds that a significant part of the initial return is explained through after-market mispricing. This study finds that average initial returns are 17%, deliberate premarket underpricing is 5.3% and after-market mispricing averages 11.9%. Research limitations/implications This study can isolate underpricing done at the premarket by estimating a systematic one-sided error term that measures the maximum predicted issue price deviation from the offered price. Consequentially, the disaggregation of initial returns may be especially informative for retail investors in planning their exit strategy from an IPO by separating the strength of the firm's fundamentals and its causal relationship with the initial returns. Substantial proportion of after-market mispricing implies that future research should focus on factors causing after-market mispricing. As underlying causes are identified, tailor-made policy responses can be formulated to benefit investors. Practical implications This paper has empirically validated that initial return is a mix of both components, i.e. deliberate underpricing and aftermarket mispricing. This disaggregation of initial returns can prove helpful for investors in planning their exit strategy. This study can help investors to become more aware of the importance of the fundamentals of the firm and its causal relation with the initial returns. This information in turn can help reduce the information asymmetry amongst investors and help them lessen the costs of adverse selection. Originality/value A larg
{"title":"Deliberate underpricing and after-market mispricing in Indian IPO market: Stochastic frontier approach","authors":"Poonam Mulchandani, Rajan Pandey, Byomakesh Debata","doi":"10.1108/jibr-09-2021-0320","DOIUrl":"https://doi.org/10.1108/jibr-09-2021-0320","url":null,"abstract":"\u0000Purpose\u0000This paper aims to study the underpricing phenomenon of initial public offerings (IPOs) of 355 Indian companies issued from 2007 to 2019. The research question this paper empirically examines is whether Indian corporate executives deliberately underprice IPOs from its fair value to attract investors, thereby causing an abnormal spike in the prices on the listing day. The findings of this study challenge a commonly held notion of leaving money on the table by IPO issuing companies. Of the overall average listing day returns of 17%, the deliberate premarket underpricing component is found to be mere 5.3%, while the remaining price fluctuation is, inter alia, a result of market momentum along with the unmet demands of impatient investors.\u0000\u0000\u0000Design/methodology/approach\u0000Following Koop and Li (2001), this study uses Stochastic frontier model (SFM) to study a routine anomaly of disparity between the primary market price (i.e. IPO issue price) and the secondary market price (listing price). The jump in the issue price observed on a listing day is decomposed into deliberate premarket underpricing component that reflects the extent of managerial manipulation and the after-market misvaluation component attributable to information asymmetry and prevailing market volatility.\u0000\u0000\u0000Findings\u0000This paper uses SFM to bifurcate initial returns into deliberate underpricing by managers and after-market mispricing by noise traders. This study finds that a significant part of the initial return is explained through after-market mispricing. This study finds that average initial returns are 17%, deliberate premarket underpricing is 5.3% and after-market mispricing averages 11.9%.\u0000\u0000\u0000Research limitations/implications\u0000This study can isolate underpricing done at the premarket by estimating a systematic one-sided error term that measures the maximum predicted issue price deviation from the offered price. Consequentially, the disaggregation of initial returns may be especially informative for retail investors in planning their exit strategy from an IPO by separating the strength of the firm's fundamentals and its causal relationship with the initial returns. Substantial proportion of after-market mispricing implies that future research should focus on factors causing after-market mispricing. As underlying causes are identified, tailor-made policy responses can be formulated to benefit investors.\u0000\u0000\u0000Practical implications\u0000This paper has empirically validated that initial return is a mix of both components, i.e. deliberate underpricing and aftermarket mispricing. This disaggregation of initial returns can prove helpful for investors in planning their exit strategy. This study can help investors to become more aware of the importance of the fundamentals of the firm and its causal relation with the initial returns. This information in turn can help reduce the information asymmetry amongst investors and help them lessen the costs of adverse selection.\u0000\u0000\u0000Originality/value\u0000A larg","PeriodicalId":45364,"journal":{"name":"Journal of Indian Business Research","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48691031","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 : 2023-02-01DOI: 10.1108/jibr-12-2020-0378
Sakti Ranjan Dash, Maheswar Sethi, R. Swain
Purpose The purpose of this paper is to examine the impact of working capital management (WCM) on profitability under different financial conditions (constraint/unconstraint) and WCM policy (aggressive/conservative). Furthermore, the study investigates the existence of optimal working capital levels under different financial conditions and WCM policy. Design/methodology/approach Two-step system generalized method of moments and fixed effect models are used to analyze the data collected from Prowess database from 2011 to 2020 for a sample of 1,104 Indian manufacturing companies. Findings The study finds an inverted U-shaped relationship between working capital and profitability in all financial conditions and working capital policy. This finding advocates the existence of an optimal level of working capital that equates the costs and benefits of holding working capital to maximize the companies’ profitability. However, holding working capital beyond the optimal level negatively affects profitability. Companies under financial constraints with aggressive working capital policies have the lowest optimal cash conversion cycle (CCC). Furthermore, the relationship of working capital with profitability and the optimal CCC varies owing to firm age and industry group. Originality/value To the best of the authors’ knowledge, this is the first paper that incorporates the impact of working capital on firm’s performance from both financial constraint (unconstraint) and aggressive (conservative) working capital policy perspectives in the Indian context. Furthermore, this study also contributes in terms of reflecting the effect of firm age and industry in determining the optimum CCC of the firms.
{"title":"Financial condition, working capital policy and profitability: evidence from Indian companies","authors":"Sakti Ranjan Dash, Maheswar Sethi, R. Swain","doi":"10.1108/jibr-12-2020-0378","DOIUrl":"https://doi.org/10.1108/jibr-12-2020-0378","url":null,"abstract":"\u0000Purpose\u0000The purpose of this paper is to examine the impact of working capital management (WCM) on profitability under different financial conditions (constraint/unconstraint) and WCM policy (aggressive/conservative). Furthermore, the study investigates the existence of optimal working capital levels under different financial conditions and WCM policy.\u0000\u0000\u0000Design/methodology/approach\u0000Two-step system generalized method of moments and fixed effect models are used to analyze the data collected from Prowess database from 2011 to 2020 for a sample of 1,104 Indian manufacturing companies.\u0000\u0000\u0000Findings\u0000The study finds an inverted U-shaped relationship between working capital and profitability in all financial conditions and working capital policy. This finding advocates the existence of an optimal level of working capital that equates the costs and benefits of holding working capital to maximize the companies’ profitability. However, holding working capital beyond the optimal level negatively affects profitability. Companies under financial constraints with aggressive working capital policies have the lowest optimal cash conversion cycle (CCC). Furthermore, the relationship of working capital with profitability and the optimal CCC varies owing to firm age and industry group.\u0000\u0000\u0000Originality/value\u0000To the best of the authors’ knowledge, this is the first paper that incorporates the impact of working capital on firm’s performance from both financial constraint (unconstraint) and aggressive (conservative) working capital policy perspectives in the Indian context. Furthermore, this study also contributes in terms of reflecting the effect of firm age and industry in determining the optimum CCC of the firms.\u0000","PeriodicalId":45364,"journal":{"name":"Journal of Indian Business Research","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48633045","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 : 2023-01-17DOI: 10.1108/jibr-02-2022-0045
S. Manocha, Pritpal Singh Bhullar, Timcy Sachdeva
Purpose The purpose of this study is to investigate the determinants that determine the investment behaviour of rural farmers. This study further examines the moderation effect of socio traits in the association between investment behaviour and its determined factors. Design/methodology/approach This study used a cross-sectional research design to gather information. The information for this research survey was gathered using a structured questionnaire from 400 individual investors in the rural area of Punjab, who participated in the study. It has been decided to use the Cronbach’s alpha test to determine the validity and reliability of the questionnaire. To evaluate the hypothesis, structural equation modelling has been used in the research process. Findings The results of this study reveal that attitude, financial risk inclination, financial planning and investment intention determine the investment behaviour of the rural people of Punjab. The results for the interaction effect of socio traits with investment intention, financial risk propensity and investment attitude were found statistically significant amongst rural people. The results of the moderation effect stated that interaction between the attitude and investment intention and financial risk propensity and investment intention is significantly influenced by age of respondents. The results further reveal that marital status of rural people affect the interaction between attitude and investment intention and financial risk propensity and investment intention. Nothing about education seems to be a moderating influence on any of the relationships studied. Originality/value The authors contribute to the literature in two aspects. Firstly, to the best of the authors’ knowledge, this is the only study of its kind that focuses on the investment behaviour of farmers. Secondly, by looking at the farmer’s investing behaviour, the moderation effect of demographic variables is also studied which set this study apart from another existing scholarly research. This study contributes to the growing literature on investment behaviour of farmers in developing and developed markets.
{"title":"Factors determining the investment behaviour of farmers – the moderating role of socioeconomic demographics","authors":"S. Manocha, Pritpal Singh Bhullar, Timcy Sachdeva","doi":"10.1108/jibr-02-2022-0045","DOIUrl":"https://doi.org/10.1108/jibr-02-2022-0045","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to investigate the determinants that determine the investment behaviour of rural farmers. This study further examines the moderation effect of socio traits in the association between investment behaviour and its determined factors.\u0000\u0000\u0000Design/methodology/approach\u0000This study used a cross-sectional research design to gather information. The information for this research survey was gathered using a structured questionnaire from 400 individual investors in the rural area of Punjab, who participated in the study. It has been decided to use the Cronbach’s alpha test to determine the validity and reliability of the questionnaire. To evaluate the hypothesis, structural equation modelling has been used in the research process.\u0000\u0000\u0000Findings\u0000The results of this study reveal that attitude, financial risk inclination, financial planning and investment intention determine the investment behaviour of the rural people of Punjab. The results for the interaction effect of socio traits with investment intention, financial risk propensity and investment attitude were found statistically significant amongst rural people. The results of the moderation effect stated that interaction between the attitude and investment intention and financial risk propensity and investment intention is significantly influenced by age of respondents. The results further reveal that marital status of rural people affect the interaction between attitude and investment intention and financial risk propensity and investment intention. Nothing about education seems to be a moderating influence on any of the relationships studied.\u0000\u0000\u0000Originality/value\u0000The authors contribute to the literature in two aspects. Firstly, to the best of the authors’ knowledge, this is the only study of its kind that focuses on the investment behaviour of farmers. Secondly, by looking at the farmer’s investing behaviour, the moderation effect of demographic variables is also studied which set this study apart from another existing scholarly research. This study contributes to the growing literature on investment behaviour of farmers in developing and developed markets.\u0000","PeriodicalId":45364,"journal":{"name":"Journal of Indian Business Research","volume":"22 18","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41273095","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 : 2023-01-10DOI: 10.1108/jibr-08-2022-0209
A. Rawal, Bechoo Lal
Purpose The uncertainty of getting admission into universities/institutions is one of the global problems in an academic environment. The students are having good marks with highest credential, but they are not sure about getting their admission into universities/institutions. In this research study, the researcher builds a predictive model using Naïve Bayes classifiers – machine learning algorithm to extract and analyze hidden pattern in students’ academic records and their credentials. The main purpose of this research study is to reduce the uncertainty for getting admission into universities/institutions based on their previous credentials and some other essential parameters. Design/methodology/approach This research study presents a joint venture of Naïve Bayes Classification and Kernel Density Estimations (KDE) to predict the student’s admission into universities or any higher institutions. The researcher collected data from the Kaggle data sets based on grade point average (GPA), graduate record examinations (GRE) and RANK of universities which are essential to take admission in higher education. Findings The classification model is built on the training data set of students’ examination score such as GPA, GRE, RANK and some other essential features that offered the admission with a predictive accuracy rate 72% and has been experimentally verified. To improve the quality of accuracy, the researcher used the Shapiro–Walk Normality Test and Gaussian distribution on large data sets. Research limitations/implications The limitation of this research study is that the developed predictive model is not applicable for getting admission into all courses. The researcher used the limited data attributes such as GRE, GPA and RANK which does not define the admission into all possible courses. It is stated that it is applicable only for student’s admission into universities/institutions, and the researcher used only three attributes of admission parameters, namely, GRE, GPA and RANK. Practical implications The researcher used the Naïve Bayes classifiers and KDE machine learning algorithms to develop a predictive model which is more reliable and efficient to classify the admission category (Admitted/Not Admitted) into universities/institutions. During the research study, the researcher found that accuracy performance of the predictive Model 1 and that of predictive Model 2 are very close to each other, with predictive Model 1 having truly predictive and falsely predictive rate of 70.46% and 29.53%, respectively. Social implications Yes, it is having a significant contribution for society; students and parents can get prior information about the possibilities of admission in higher academic institutions and universities. Originality/value The classification model can reduce the admission uncertainty and enhance the university’s decision-making capabilities. The significance of this research study is to reduce human intervention for making deci
{"title":"Predictive model for admission uncertainty in high education using Naïve Bayes classifier","authors":"A. Rawal, Bechoo Lal","doi":"10.1108/jibr-08-2022-0209","DOIUrl":"https://doi.org/10.1108/jibr-08-2022-0209","url":null,"abstract":"\u0000Purpose\u0000The uncertainty of getting admission into universities/institutions is one of the global problems in an academic environment. The students are having good marks with highest credential, but they are not sure about getting their admission into universities/institutions. In this research study, the researcher builds a predictive model using Naïve Bayes classifiers – machine learning algorithm to extract and analyze hidden pattern in students’ academic records and their credentials. The main purpose of this research study is to reduce the uncertainty for getting admission into universities/institutions based on their previous credentials and some other essential parameters.\u0000\u0000\u0000Design/methodology/approach\u0000This research study presents a joint venture of Naïve Bayes Classification and Kernel Density Estimations (KDE) to predict the student’s admission into universities or any higher institutions. The researcher collected data from the Kaggle data sets based on grade point average (GPA), graduate record examinations (GRE) and RANK of universities which are essential to take admission in higher education.\u0000\u0000\u0000Findings\u0000The classification model is built on the training data set of students’ examination score such as GPA, GRE, RANK and some other essential features that offered the admission with a predictive accuracy rate 72% and has been experimentally verified. To improve the quality of accuracy, the researcher used the Shapiro–Walk Normality Test and Gaussian distribution on large data sets.\u0000\u0000\u0000Research limitations/implications\u0000The limitation of this research study is that the developed predictive model is not applicable for getting admission into all courses. The researcher used the limited data attributes such as GRE, GPA and RANK which does not define the admission into all possible courses. It is stated that it is applicable only for student’s admission into universities/institutions, and the researcher used only three attributes of admission parameters, namely, GRE, GPA and RANK.\u0000\u0000\u0000Practical implications\u0000The researcher used the Naïve Bayes classifiers and KDE machine learning algorithms to develop a predictive model which is more reliable and efficient to classify the admission category (Admitted/Not Admitted) into universities/institutions. During the research study, the researcher found that accuracy performance of the predictive Model 1 and that of predictive Model 2 are very close to each other, with predictive Model 1 having truly predictive and falsely predictive rate of 70.46% and 29.53%, respectively.\u0000\u0000\u0000Social implications\u0000Yes, it is having a significant contribution for society; students and parents can get prior information about the possibilities of admission in higher academic institutions and universities.\u0000\u0000\u0000Originality/value\u0000The classification model can reduce the admission uncertainty and enhance the university’s decision-making capabilities. The significance of this research study is to reduce human intervention for making deci","PeriodicalId":45364,"journal":{"name":"Journal of Indian Business Research","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"47770435","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 : 2023-01-06DOI: 10.1108/jibr-08-2022-0211
Anant Deogaonkar, Sampada Nanoty
Purpose The purpose of this study is to investigate the moderated mediation between organizational culture (OC) and employee performance (EP), with a focus on how high-performance managerial practices (HPMPs) affect OC’s indirect effect via similarities in religious teachings (SRT), which was put to the test. Design/methodology/approach Data was collected from 275 working professionals. Partial least square structural equation modeling (PLS-SEM) was used for data analysis. Findings The results indicate that SRT mediate the relationship between OC and EP. HPMPs enhance EP by increasing the effect of OC on SRT. Research limitations/implications As a part of people and performance management as a function of the human resource management team this study contributes to OC literature by exploring the role of similarities in religious teaching in enhancing EP and OC. The HPMPs are complemented by the SRT that enhance OC thereby improving EP. Practical implications This study paves way for addressing the OC problems being faced by the organizations. Organizational development interventions to enhance the OC and its effectiveness in overall performance enhancement are complemented by SRT. This becomes a trigger point for practitioners to initiate interventions based SRT. Originality/value Till now, there is no evidence examining the role of moderated mediation based on the SRT complementing HPMPs.
{"title":"Moderated mediation between organizational culture and employee performance: the role of similarities in religious teachings and high-performance managerial practices","authors":"Anant Deogaonkar, Sampada Nanoty","doi":"10.1108/jibr-08-2022-0211","DOIUrl":"https://doi.org/10.1108/jibr-08-2022-0211","url":null,"abstract":"\u0000Purpose\u0000The purpose of this study is to investigate the moderated mediation between organizational culture (OC) and employee performance (EP), with a focus on how high-performance managerial practices (HPMPs) affect OC’s indirect effect via similarities in religious teachings (SRT), which was put to the test.\u0000\u0000\u0000Design/methodology/approach\u0000Data was collected from 275 working professionals. Partial least square structural equation modeling (PLS-SEM) was used for data analysis.\u0000\u0000\u0000Findings\u0000The results indicate that SRT mediate the relationship between OC and EP. HPMPs enhance EP by increasing the effect of OC on SRT.\u0000\u0000\u0000Research limitations/implications\u0000As a part of people and performance management as a function of the human resource management team this study contributes to OC literature by exploring the role of similarities in religious teaching in enhancing EP and OC. The HPMPs are complemented by the SRT that enhance OC thereby improving EP.\u0000\u0000\u0000Practical implications\u0000This study paves way for addressing the OC problems being faced by the organizations. Organizational development interventions to enhance the OC and its effectiveness in overall performance enhancement are complemented by SRT. This becomes a trigger point for practitioners to initiate interventions based SRT.\u0000\u0000\u0000Originality/value\u0000Till now, there is no evidence examining the role of moderated mediation based on the SRT complementing HPMPs.\u0000","PeriodicalId":45364,"journal":{"name":"Journal of Indian Business Research","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2023-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42202524","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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