This study explores the interplay of Multi Loop Learning (MLL), Innovative Work Behavior (IWB), and Perceived Organizational Support (POS) in enhancing Organizational Resilience…
Abstract
Purpose
This study explores the interplay of Multi Loop Learning (MLL), Innovative Work Behavior (IWB), and Perceived Organizational Support (POS) in enhancing Organizational Resilience (OR).
Design/methodology/approach
The paper draws from Dynamic Capabilities Theory and Social Exchange Theory to explore a relationship between learning processes, innovative work behavior, organizational support and resilience.
Findings
MLL can enhance OR, mediated by IWB and moderated by POS, in environments of innovation and trust.
Research limitations/implications
Additional research is needed to empirically confirm the validity of this paradigm across diverse contexts and factors influencing resilience.
Practical implications
Embedding MLL can actively support IWB. Creating positive POS supports the learning-innovation-resilience cycle for greater adaptability. A supportive environment of trust and value for employee contributions, their well-being and problem-solving skills moderates the transition from MLL to OR effectively.
Originality/value
This study advances the literature on OR and ties the theoretical constructs and real-world organizational challenges by presenting a structured framework linking MLL, IWB, POS to OR, supported by relevant theories.
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P. Ravi Kiran, Akriti Chaubey and Rajesh Kumar Shastri
In this research paper, the authors delve into the ethnography and socioeconomic status of the Chenchu tribal community that resides in Telangana's Nallamalla forest. The authors…
Abstract
Purpose
In this research paper, the authors delve into the ethnography and socioeconomic status of the Chenchu tribal community that resides in Telangana's Nallamalla forest. The authors also examine the initiatives undertaken by the government to create fair entrepreneurial opportunities while preserving their unique culture. Additionally, the authors analyse potential entrepreneurial and business opportunities using the environmental, social and governance (ESG) framework.
Design/methodology/approach
To gain insight into the current socio-economic development and living standards of the Chenchu tribal people, the authors conducted interviews in nine different villages with 177 individual respondents. Statistical analysis was then used to determine the relationship between business opportunities and their impact on socio-economic development based on the data collected.
Findings
The Chenchu tribal community has faced significant challenges, including vulnerability, poverty and debt. To promote the development of the tribe, it is essential to provide equal opportunities in education, healthcare and means of subsistence. The government has implemented various social and developmental programs to support sustainable development and entrepreneurial opportunities while preserving the tribe's unique culture and improving their education and standard of living. These initiatives are aimed at benefiting the entire community.
Practical implications
The Chenchu tribal people are eager for progress but hesitant to leave their forest homes and integrate into modern society. This creates challenges for efficiently implementing welfare programs. It is crucial to strike a balance between forest regulations and the rights of indigenous communities to ensure their protection and prevent any hindrance to development efforts.
Originality/value
To promote sustainable development and preserve tribal cultures, the government should implement various social and developmental programs. These programs should improve living conditions and socioeconomic development while exploring business opportunities. Maintaining these communities' unique identities while striving for progress is essential.
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P. Ravi Kiran, Akriti Chaubey, Rajesh Kumar Shastri and Madhura Bedarkar
This study assesses the SDG-related well-being of indigenous communities in India using bibliometric analysis and the ADO-TCM framework. It provides insights into their alignment…
Abstract
Purpose
This study assesses the SDG-related well-being of indigenous communities in India using bibliometric analysis and the ADO-TCM framework. It provides insights into their alignment with sustainable development objectives.
Design/methodology/approach
This study analysed 74 high-impact journals using bibliometric analysis to evaluate the well-being of India’s indigenous peoples about the SDGs.
Findings
This study analyses the well-being of tribal communities in India using existing scholarly articles and the ADO-TCM framework. It emphasises the importance of implementing Sustainable Development Goals (SDGs) to promote the well-being of indigenous populations.
Originality/value
This study uses bibliometric analysis and the ADO-TCM framework to investigate factors impacting tribal community welfare. It proposes theoretical frameworks, contextual considerations and research methodologies to achieve objectives.
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P. Ravi Kiran, Akriti Chaubey and Rajesh Kumar Shastri
The research paper aims to analyse the scholarly literature on advancing HR analytics as an intervention for attrition, a problem that lingers on organisational performance. This…
Abstract
Purpose
The research paper aims to analyse the scholarly literature on advancing HR analytics as an intervention for attrition, a problem that lingers on organisational performance. This study aspires to provide an in-depth literature review and critically assess the knowledge gaps in HR analytics and attritions within organisational performance.
Design/methodology/approach
The review analyses the corpus of 196 research articles published in ostensible journals between 2011 and 2023. To identify research gaps and provide valuable insights, this study synthesises relevant studies using School of thought (S), Context (C), Methodology (M), Triggers (T), Barriers (B), Facilitators (F) and Outcomes (O) (SCM-TBFO framework). This study employs the R programming language to conduct a systematic literature review in accordance with the “preferred reporting items for systematic reviews and meta-analysis” (PRISMA) guidelines.
Findings
The emerging discipline of HR analytics encompasses the potential to manage attrition and drive organisational performance enhancements effectively. The study of SCM-TBFO encompasses a multidimensional approach, incorporating diverse perspectives and analysing its complex aspects compared to various approaches. The School of thought includes the human capital theory, expectancy theory and resource-based view. The varied research contexts entail the USA, United Kingdom, China, France, Italy and India. Further, the methodologies adopted in the studies are artificial neural networking (ANN), regression, structure equation modelling (SEM) case studies and other theoretical studies. HR analytics and attrition triggers are data mining decision systems, forecasting for firm performance and employee satisfaction. The barriers include leadership styles, cultural adaptability and lack of analytic skills, data security and organisational orientation. The facilitators were categorised into data and technology-related facilitators, human resource policies and organisational growth and performance-related facilitators. The study's primary outcomes are technology adoption, effective HR policies, HR strategies, employee satisfaction, career and organisational expansion and growth.
Originality/value
The primary goal of the literature review is to provide a comprehensive overview of the current state of HR analytics and its impact on organisational performance, particularly in relation to attrition. Further, the study suggests that attrition, a critical organisational concern, can be effectively managed by strategically utilising HR analytics and empowering data-driven interventions that optimise performance and enhance overall organisational outcomes.
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Urvashi Tandon, Ravi Kiran and Ash Sah
This study aims to identify and analyse the key determinants influencing customer satisfaction towards online shopping in India.
Abstract
Purpose
This study aims to identify and analyse the key determinants influencing customer satisfaction towards online shopping in India.
Design/methodology/approach
The literature concerning major attributes of website functionality, perceived usability, perceived usefulness and customer satisfaction in online retailing were reviewed. Data were collected from 365 respondents active in online shopping for examining the constructs. The model was empirically tested using structural equation modelling.
Findings
The findings of the study reveal that perceived usefulness and website functionality have a positive impact on customer satisfaction, whereas perceived usability had a significant but negative impact on customer satisfaction.
Practical implications
This research will help online retailers to attract and motivate new customers for online shopping and existing customers to extend it in their daily purchase. Online retailers can improve post purchase satisfaction and eventually increase online customers.
Originality/value
This is one of the preliminary study dealing with customer satisfaction towards online retailing in India. The scale has been extended to include items like satisfaction with cash on delivery mode of payment not included in previous scales. The scale of perceived usefulness has also been deepened by adding time performance, product performance and promotional performance.
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Chaduvula Vijaya Lakshmi, Ch. Ravi Kiran, M. Gowrisankar, Shaik Babu and D. Ramachandran
The paper aims to throw light on the interactions taking place between the different chemical compositions at various temperatures. P-methylacetophenone is a polar dissolvable…
Abstract
Purpose
The paper aims to throw light on the interactions taking place between the different chemical compositions at various temperatures. P-methylacetophenone is a polar dissolvable, which is positively related by dipole–dipole co-operations and is exceptionally compelling a direct result of the shortfall of any critical primary impacts because of the absence of hydrogen bonds; hence, it might work an enormous dipole moment (μ = 3.62 D). Alcohols additionally assume a significant part in industries and research facilities as reagents and pull in incredible consideration as helpful solvents in the green innovation. They are utilized as pressure-driven liquids in drugs, beauty care products, aromas, paints removers, flavors, dye stuffs and as a germ-free specialist.
Design/methodology/approach
Mixtures were prepared by mass in airtight ground stopper bottles. The mass measurements were performed on a digital electronic balance (Mettler Toledo AB135, Switzerland) with an uncertainty of ±0.0001 g. The uncertainty in mole fraction was thus estimated to be less than ±0.0001. The densities of pure liquids and their mixtures were determined using a density meter (DDH-2911, Rudolph Research Analytical). The instrument was calibrated frequently using deionized doubly distilled water and dry air. The estimated uncertainty associated with density measurements is ±0.0003 g.cm−3. Viscosities of the pure liquids and their mixtures were determined by using Ostwald’s viscometer. The viscometer was calibrated at each required temperature using doubly distilled water. The viscometer was cleaned, dried and is filled with the sample liquid in a bulb having capacity of 10 ml. The viscometer was then kept in a transparent walled water bath with a thermal stability of ±0.01K for about 20 min to obtain thermal equilibrium. An electronic digital stop watch with an uncertainty of ±0.01 s was used for the flow time measurements for each sample at least four readings were taken and then the average of these was taken.
Findings
Negative values of excess molar volume, excess isentropic compressibility and positive values of deviation in viscosity including excess Gibbs energy of activation of viscous flow at different temperatures (303.15, 308.15 and 313.15 K) may be attribution to the specific intermolecular interactions through the hetero-association interaction between the components of the mixtures, resulting in the formation of associated complexes through hydrogen bond interactions.
Originality/value
The excess molar volume (VE) values were analyzed with the Prigogine–Flory–Patterson theory, which demonstrated that the free volume contribution is the one of the factors influencing negative values of excess molar quantities. The Jouyban–Acree model was used to correlate the experimental values of density, speed of sound and viscosity.
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Savita Gupta, Ravi Kiran and Rakesh Kumar Sharma
In keeping with global developments rendering online shopping as an emerging trend among consumers, the present study extends the unified theory of use and acceptance of…
Abstract
Purpose
In keeping with global developments rendering online shopping as an emerging trend among consumers, the present study extends the unified theory of use and acceptance of technology (UTAUT2) comprising the digital payment mode (DPM) as a new driver of online shopping and with the mediation of attitudes toward technology (ATTs) to gauge a better and deeper understanding of behavioral intention (BI).
Design/methodology/approach
This study used a survey instrument with snowball sampling from 600 consumers in northern India. Partial least squares structural equation modeling was used to find the association between drivers using UTUAT2, along with DPM and ATTs. The data were divided into a test group (20%) and validated through a training group (80%).
Findings
DPM was shown to be directly associated with BI. The mediation of ATTs was also validated through the model. The predictability of the model was 67.5% for the test group (20%) and 69.6% for the training group (80%). The results also indicated that facilitating conditions is a critical driver of BI.
Originality/value
This study enhances the understanding of the roles that DPM and ATTs play in BI during online shopping, suggesting that Indian managers need to adopt DPM as a support service to make online shopping a worthwhile experience.
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Sheena Chhabra, Ravi Kiran, A.N. Sah and Vikas Sharma
The purpose of this paper is to focus on examining the first day returns of initial public offerings (IPOs) and the role of information on their performance. The study tries to…
Abstract
Purpose
The purpose of this paper is to focus on examining the first day returns of initial public offerings (IPOs) and the role of information on their performance. The study tries to optimize the returns of the new issues during 2005-2012 with risk as a constraint.
Design/methodology/approach
The initial returns are measured through the market-adjusted excess return and the risk associated with the new issue is measured through underwriters’ reputation. The returns have been optimized through a mixed integer linear problem using the Maple software.
Findings
The previous studies show that various informational variables affect the listing day returns significantly. The results of the present study indicate that the mean of initial returns for IPOs during 2005-2012 is 18.03 and the mean risk for these issues is 0.46. The findings also suggest that the optimal returns are obtained in the pre-recession era (2005-2008) and the value for the same is 50.02 percent.
Originality/value
The current study contributes in the investment decisions for global investors as every investor wants to maximize his/her returns. The optimal returns with risk as a constraint will help the investors in improving their investment decision as a prudent investor does not aim solely at maximizing the expected return of an investment but is also interested in optimizing with the minimization of risk.
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Sheena Chhabra, Ravi Kiran and A.N. Sah
The purpose of this paper is to examine the relevance of information, transparency and information efficiency in short-run performance of new issues. The current research…
Abstract
Purpose
The purpose of this paper is to examine the relevance of information, transparency and information efficiency in short-run performance of new issues. The current research evaluates the short-run performance of IPOs during 2005-2012, which even includes the recessionary period. The present study evaluates the impact of informational variables on first-day returns.
Design/methodology/approach
The short-run performance of the IPOs is measured through market adjusted excess return. A structural equation model (SEM) has been designed to identify how information influences the short-run performance of IPOs.
Findings
The results of structural model reveal that the sale of promoters’ stake and underwriters’ reputation are the major contributors towards information and are found to be highly significant statistically. The model also shows that the issue size (a component of information) is statistically insignificant at 5 per cent. The model suggests that the availability of information has negative impact on the first day returns indicating that the issuer which disclose maximum information to the public get lower returns on the listing day and hence, their issues are less underpriced.
Originality/value
The present study has a contribution in investment decisions for global investors, as the participation of international investors is common in IPOs of emerging markets. The findings of the study are expected to be useful to the practitioners in predicting the pricing of IPOs based on the informational variables influencing their performance.
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One in every four graduates of the world will be the product of Indian higher education system by the year 2030 as per a report issued by the FICCI (Federation of Indian Chambers…
Abstract
Purpose
One in every four graduates of the world will be the product of Indian higher education system by the year 2030 as per a report issued by the FICCI (Federation of Indian Chambers of Commerce and Industry) in 2015. This brings out the growing significance of higher education sector and purpose of the study. The present study tries to explore the relationship between intellectual capital of universities and their performance.
Design/methodology/approach
Structural equation modeling (SEM) was applied on the dataset of 590 respondents, and the suggested model reiterate that human capital, organizational capital and relational capital have a significant influence on a university's performance.
Findings
Human capital, organizational capital and relational capital have a significant influence on a university's performance. The study strongly recommends that factors like research facilitation, quality of work life, knowledge sharing, industry academia relationship and information disclosure have a strong influence on performance.
Originality/value
Not just India, but policymakers across Brazil, Russia, India, China and South Africa (BRICS) can strategize around intellectual capital to give a push to the fast-growing higher education sector.