The revolutionary impact of business analytics on corporate strategy in modern firms is investigated in this research paper. Integrating analytics into strategic planning has become essential for gaining a competitive edge in a time of rapid technological innovation and data abundance. The significance of this study is in its capacity to clarify how data-driven decision-making can improve organizational performance and flexibility in a changing marketplace. The main goal of this study is to investigate the effects of employing business analytics in the development of corporate strategies, with a particular emphasis on how these processes affect decision-making and the overall efficacy of strategic initiatives. By analyzing these dynamics, the study hopes to offer firms looking to use analytics for strategic success practical insights. The scope of the study includes a thorough investigation of how business analytics impacts many aspects of corporate strategy, such as risk management, customer relationship management, and operational efficiency. The main issue discussed is the discrepancy between conventional strategic planning techniques and the requirement for a more data-centric strategy that can adapt to changing market conditions. The idea that better strategic results can result from the efficient application of business analytics forms the basis of the theoretical framework that directs this study. Using secondary data sources including case studies, industry reports, and scholarly literature, a qualitative research methodology is used to accomplish these goals. This methodology makes it easier to conduct a comprehensive analysis of current business analytics methods and knowledge in strategic situations. Organizations that successfully incorporate analytics into their strategic planning procedures report better performance metrics and increased decision-making capabilities, according to the main findings of the analysis. Potential biases in secondary data and the difficulty of extrapolating results across several businesses are drawbacks, though. In terms of theory and practice, this study has consequences. Theorists can better grasp how business analytics may transform strategic frameworks, and practitioners can learn about the most effective ways to put data-driven plans into reality. The findings of this study ultimately highlight how important it is for businesses to develop a strong data culture that values analytics as a fundamental part of their strategic decision-making procedures.
Understanding digital marketing tactics is now crucial for company expansion in the digital age due to the quickly changing technology landscape. This study investigates the efficacy of modern digital marketing strategies with an emphasis on how they support significant company growth. This study is significant because it offers practical advice on how to use data analytics, customization, and cutting-edge technology like machine learning and artificial intelligence to maximize digital marketing initiatives. The main goal of this study is to determine and evaluate the best digital marketing tactics that spur company expansion. Using a thorough literature review methodology, the study assesses the effects of different digital marketing methods on business performance by looking through contemporary academic sources. Important results show that cross-channel and multi-channel marketing techniques greatly improve brand coherence and consumer engagement. Enhancing targeting accuracy and campaign efficacy requires the use of data analytics and artificial intelligence capabilities. While ethical principles and digital transformation are essential for maintaining consumer trust and competitive advantage, personalization and customer feedback integration play a critical role in driving engagement and conversion rates. Furthermore, social media, influencer marketing, and strong content tactics work well to increase brand awareness and adherence. Strategic agility is ensured by remaining up to date with emerging trends, and marketing outcomes are further enhanced through optimization of conversion rates and user experience design. These findings' implications imply that companies should take a multifaceted strategy to digital marketing, including cutting-edge technologies and emphasizing ethical and personalized practices. It is advised to use multi-channel marketing techniques, make use of AI and data analytics, prioritize ethical marketing, and continuously improve user experience and content. Future studies ought to investigate how new digital trends—like gamification and behavioral targeting—affect the efficiency of marketing campaigns and the expansion of companies. In addition to offering a foundation for companies hoping to succeed in the cutthroat digital economy, this research advances our understanding of successful digital marketing tactics.
In the coming decade, India’s ambition to become a developed nation will have to be fuelled and facilitated by the policies adopted by the government of India. These will in turn have social and economic impact. The National educational Policy (NEP) 2020is a policy by the government of India which envisions development of inclusive and accessible education to the masses. This also aims to provide lifelong learning opportunities and processes by introducing flexibility into the previously rigid educational system in India. As part of the global educational ecosystem the NEP 2020 policy in India should also be looking at integrating the global educational policy guidelines. Which has changed from “Education for all to enrolment to learning that is inclusive, equitable, effective and relevant,” as stated in the Sustainable Development Goal (SDG) 4 – Education 2030 Agenda, UNESCO (2017). All the member countries have agreed to integrate lifelong learning into their policies based on their national priorities which will have an impact beyond social and economic development and facilitate sustainable development. In this context this study compares the NEP 2020 policy document to UNESCOs Educational Policy which is an integration of the core concepts and targets of SDG4 using text analytics to identify the trends and to compare the same. The text analytics software used is KNIME which analysed both the documents to give a word cloud for each as well as a count of repetitive occurrence of keywords and collaborative occurrence of certain word sets in each of the documents which helped in the process of grouping and interpretation of the trends.
Scheduling is one of the most important tools used in project management, and Programming Evaluation Revision Technique (PERT) is one of the methods used in project scheduling. PERT depends on identifying three possible times for any activity: optimistic, pessimistic, and the most likely. Using these three times, the expected time to end the activity and then the critical path of the project, as well as the activity variance, and then the project standard deviation is calculated by offering different weights for these three times. Therefore, this study aimed to suggest the use of equal weights for these times in calculating both the expected time to complete the activity as well as its variance, in order to know the effect on the completion time of project, the standard deviation of the project, as well as the cost of project crashing. To do that the both models usual PERT model and the proposed model were applied on three real construction projects. The results revealed that the proposed model (equal time weights) has a positive impact on the project crashing cost if required, but the results also revealed a negative impact of applying the proposed model on the project completion time (longer critical path), and on the standard deviation of the project.
The marine sector in India holds tremendous potential for growth, export expansion and employment generation primarily due to India’s competitive advantage in the production of marine products. In the present paper, an attempt has been made to identify the key destinations for India’s marine export using trade analytical tools like Revealed Comparative Advantage and Import Intensity Index. ARIMA forecasting is applied to map the export potential of selected marine products to specific destinations. The paper also provides suggestions to exporters and the policymakers on tapping the future export potential of marine products in selected countries.
A recent study on early stage news media startups by Sommer (2018) took a case study approach comprising of only four cases. [...]there is an existing research gap vis-a-vis rigorous quantitative statistical analysis of the impact of marketing innovation and orientation techniques on the newspaper firms' market share and financial performance. [...]this study is an effort to fill the void in published literature, which statistically analyzes the impact of environmental dynamics in concurrence with marketing orientation and innovation strategies on Indian newsprint media firm's market and fiscal performance. 2. [...]market orientation components used in present study are defined as Interfunctional co-ordination (IC), customer orientation (CuO) and competitor orientation (CoO). [...]the present study classifies the firm's performances in two categories: * Market performance (MP): It comprises of Market share in advertising, market share of customers, customer preservation, addition of fresh customers, building a positive newspaper image. * Financial performance (FP): Sales augmentation (circulation) and firm's profit. 3.
Family business firms, like other firms, face internal and external risks such as accidents, errors, omissions, fire, unexpected casualties, natural disasters, the COVID-19 pandemic, etc., that can lead to investment losses. This study aimed to investigate the impact of the perceived risk of investment losses from operations (RISK_ILFO) and the perceived risk of investment losses from casualties (RISK_ILFC) on the commercial insurance coverage (CIC) decision of family business owners in India. This study utilized a survey research design to collect data from the owners of micro, small, and medium-sized family business firms located in India. The research participants were asked about their perceptions of the impact of RISK ILFO and RISKILFC on CIC. Findings show that perceived RISK_ILFO and RISK_ILFC positively impact CIC decision of family business owners. The results also show that the impact of perceived RISK_ILFO on CIC is higher than the impact of perceived RISK_ILFC on CIC. This study contributes to the literature on the relationship between the risk of investment losses and insurance coverage decisions. Insurance planners may find results useful to provide suggestions to family business owners on commercial insurance coverage. Research scholars may find empirical results useful to develop further studies in risk management and insurance areas. Family business owners may find the results useful to mitigate the risk of investment losses.
This study revisits the demand for money in Bangladesh considering economic uncertainty and covering 1999:M1 to 2018:M6. We employed a nonlinear ARDL model and cumulative Fourier causality tests. In contrast to the previous studies, we obtain higher exchange rate elasticity and lower income elasticity of money demand function. It is found that people hold less money in the short run when uncertainty increases, albeit it does not sustain in the long run. On the contrary, demand for money rises in the short run and declines in the long run when uncertainty decreases. We also find a unidirectional causality from income and economic uncertainty to money after considering the Fourier causality test. Therefore, a fiscal policy should be considered along with a monetary policy to tune Bangladesh’s economy.
The present study aims to decipher the drivers of default status (no default, single default, double default, and default to good) of 43,156 home-loan borrowers of a large home-loan lender having a national presence during 2003-18. Using the Multinomial Logit model, we analyse the repayment behaviour controlling the borrowers' loan and socio-demographic characteristics. We find house equity, loan, and borrower characteristics,and ability to pay are the key determinants. We also find that both double default and first default are higher at lower growth rates of house prices. Non-linearity and the inflection points in the profile of age, loan age, loan term, payment to income ratio, loan to value ratio, and loan interest rates vis-a-vis loan default status are significant findings. Tapering-off of default due to seasoning beyond a threshold year is notable. The study is the first of its kind, which uses granular data in its analysis, and hence the results would prove immensely beneficial in the policy formulations and managerial decisions.
Since the inception of the term sharing economy, it remains in a contested realm but contributes to the incarnation of neoliberalism, especially in the developed nations. In the Indian economic scenario, this domain is still in its nascent phase, and this paper targets to investigate the adoption of ride-sharing services in India by applying the unified theory of acceptance and use of technology (UTAUT) model developed by Venkatesh et al. 2003. Adopting a survey-based research design; this quantitative research investigates the intention of the Indian customers towards ride-sharing services. A total of 287 respondents from northern India participated in the research, and Structural equation modeling (SEM) validates the conceptual framework. The study highlights the significant positive relationship between the performance expectancy, effort expectancy, social influence, facilitating conditions and behavioral intentions, with the social influence as the most influential determinant amongst all other variables.
A well-functioning social network involves attributes such as honesty, benevolence, fairness and confidence. When this network – trust - has formed, participants can count on reliable and consistent economic transactions. This has the effect of higher level of co-operation, but also co-dependence. Strong social networks, as measured in this study by the degree of interpersonal trust and trust in institutions, are foundational elements for societies wishing to progress to new higher levels of entrepreneurship and development. In a pooled OLS of up to 52 countries and 16 years, this study estimates how changes in interpersonal trust and trust in institutions affect new business creation. The four entrepreneurship categories considered include the total early-stage entrepreneurial activity, new business formation, necessity-driven entrepreneurial activity, and improvement-driven opportunity entrepreneurial activity.
The study proposes a comprehensive model framework applying co-creation and satisfaction in a moderated mediated mechanism for improving customer Online Repurchase Intention (ORI) via Affective Experiential State (AES). A cross-sectional survey collected data from 542 Indian respondents who do online shopping. Using structural equation modeling the results reveal that mediation effects of Online Shopping Satisfaction (OSS) vary between high and low-level of customer co-creation. Results further reveal that AES is a very influential factor in affecting customers ORI and OSS mediates the effects of AES on customer repurchase intention.
India has a large population of women in the reproductive age group of 10-50 years. Since menstruation is linked with the child-bearing capability of women, maintaining proper menstrual hygiene-practices is of vital importance. This research paper has explored the menstrual-related hygiene practices of women in the lower-income bracket, with particular reference to the usage of disposable sanitary napkins during menstruation in the Indian context. The study uses Smart PLS to analyze inter-linkages among educational awareness, healthcare facilities, and usage of sanitary napkins. Both the variables were found to have a significant impact on the usage of sanitary products during menstruation. The findings of this study suggest that improved educational awareness and better healthcare facilities can enhance the usage of sanitary napkins. It will pave the way for policy guidelines needed to improve the health conditions of women in lower segments of society.
The current study empirically investigates sector-wide flock activity for the S&P BSE 500 stocks over 8 years spanning from October 2010 till September 2018. Drawing on absolute deviation model by Chang et al. (2000), the present analysis tends to unravel the curvilinear relationship between consensus return and dispersion via Ordinary Least Squares and Quantile Regression approaches. Using conventional regression, a nonexistent herd hunch is inferred under both normal and asymmetric scenarios. However, the examination of distribution tails discovers herding in auto and engineering sector during bull markets and healthcare sector during bearish conditions. However, the two crises namely the oil crisis of 2014 and the Chinese crash of 2015 subject the Indian bourse to mimicking behavior. This may be a matter of concern for the policy makers as the evidences reflect on the unstable nature of the S&P BSE 500 index and the Indian stock market as a whole. Therefore, the regulatory bodies have to make consistent efforts to bridge the informational distance between various classes of investors and corporate houses to ensure more transparent and honest practices so that investors can make informed and better decisions. Finally, the investors may resort to active trading rules during turbulence to earn more than what market warrants.
This study analyzed the roles of government and MNEs in industrial development through the perspective of game theory based on the case of Brazilian automobile industry. First, we have confirmed that government and FDI could have positive effects on industrial development through a dynamic game process. Second, we confirmed the roles of import-substitution for establishing and export-promotion policy for upgrading industry in the context of dynamic game. Furthermore, we stressed some policies such as further opening-up, which was always neglected in static analysis. Third, we found that the bargaining power of the government primarily came from the advantages of the local market. The conclusion we explored may have the policy implication for developing countries especially for those who have huge local markets.
Studies show that family control motivates business owners for intrafamily succession and enhances firm investment. This study tested the impact of family control on intrafamily succession intentions of family business owners and firm investment. This study utilized a survey research design to collect survey data on family control, intrafamily succession intentions, and firm investment from Canadian and Indian family business owners. The empirical analysis shows that family control plays some role in increasing intrafamily succession intentions of family business owners and firm investment in Canada and India. The results show that family control has a higher impact on family business owners' intrafamily succession intentions and firm investment in India than in Canada. By relying on the perceptions of the owners of family business firms, this study contributes to the literature on the impacts of family control on intrafamily succession intentions of business owners and firm investment. The findings may be useful to financial management consultants, business owners, and other stakeholders.
This study was conducted to determine whether the variable amount of production of cocoa beans, cocoa plantation area, the number of exports of cocoa beans, cocoa stock domestic, world cocoa prices, the exchange rate and overseas income influence the supply and demand of Indonesian cocoa beans. Through various variables descriptions above, such as the amount of production of cocoa beans, the number of exports of cocoa beans, cocoa stocks, world cocoa prices, foreign income, exchange rate or the exchange rate, this research focused on an econometric model of the Indonesian Cocoa Supply and Demand. the results of this study are on the supply function of Indonesian cocoa on the International market, with the independent variables are used (level of productivity of Indonesian cocoa plantations, the exchange rate, the price expectations of the world cocoa and cocoa previous year supply or lag 1) shows that the variation deals cocoa beans can be explained by a variable-variable in the model, amounting to 95.91 percent. Variable price expectations (PE), the productivity of Indonesian cocoa plantations (K), the number of supply cocoa beans (QS) has a positive relationship with the cocoa bean supply at present. While variable-rate (K) was negatively related.
The non-agricultural economic activities play a vital role in the growth of the economy of a country. Nepal has been experiencing an increasing rate of non-agricultural economic activities meanwhile decreasing agriculture activities over the period after economic liberalization in 1990s. This study using the data enumerated from 2,583 households in the Nepal Living Standards Survey III has provided empirical evidence from Nepal in reference to the factors determining the performance of non-agricultural enterprises. In addition to descriptive, t-test and correlation analysis, a multiple regression model was run to identify the key factors determining the performance of non-agricultural enterprise in Nepal. Among several factors included in this study, registration status of the enterprises with government agency, enterprise age and number of hired workers were identified as the key factors determining the performance of non-agricultural enterprises in Nepal.
The paper examines, the relationship and impact between Brent Prices and the Stock Market Indices of the BRIC Nations over both the short-run and the long-run. The paper revisits the traditional behavioral finance wisdom that higher Brent prices hurt Stocks. And it is studied with the time-series data of respective vital indices of Bovespo, MICEX, Nifty and Shanghai Composite in relation to Brent Price Index. The stochastics are studied with tools like ERS Unit Root Test, Johansen Co-integration Test, Vector Error Correction Model and Impulse Response Analysis. Not only that the traditional view of inverse relationship between Brent Prices and Stock prices is no longer valid, it is clearly established that the relationship attributes cannot be generalized, even amongst emerging economies in BRIC Nations. Further, the Paper examines both the short-run and long-run aspects in these markets and clearly establishes the relationships are not similar. The results from the impulse response function clearly reveals that in the case of oil exporting countries like Brazil and Russia, higher Brent prices have positive impact and effects on Stock indices. But, in India higher Brent prices has negative effect. The Vector Error Correction Model reveals that in the case of Brazil and China, Brent prices and the respective Stock indices are in a long-run equilibrium relationship, and the Stock indices follows and adjusts to Brent shocks much faster than it does in case of Russia and India. The findings from Impulse Response Function, further establishes that in oil-exporting Nations like Brazil and Russia, higher Brent Prices raises the respective Stock Indices, whereas in the case of India and China, higher Brent Prices has muted response in Stock Performances. The outcomes of the study debunk the traditional behavioral finance theory after careful evaluation.
