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The advent of Industry 4.0 presents a spectrum of challenges for entrepreneurs in India, demanding specific skills and resources. Within this transformative landscape, engineering disciplines assume a pivotal role in navigating the complexities of the new industrial revolution yet pose challenges in instilling entrepreneurial skills. While universities are recognised for fostering entrepreneurial skills, a gap persists in comprehending students' intentions to pursue entrepreneurship after completing their studies, especially within technical education systems. This emphasises the necessity for a comprehensive examination of variations in entrepreneurial orientation among diverse engineering disciplines. The study employed cross-sectional research and surveyed 370 final-year engineering students from leading engineering colleges in Karnataka, India. The data analysis included Exploratory Factor Analysis (EFA) and Structural Equation Modeling (SEM). The findings demonstrate a significant propensity for entrepreneurship among engineering students, highlighting attributes such as innovativeness, risk-taking, and proactiveness. However, contrary to expectations, the study does not discern distinct entrepreneurial orientations across different engineering disciplines. Importantly, it unveils that college education has minimal influence on students' entrepreneurial intentions. [ABSTRACT FROM AUTHOR]

India is the major producer of Areca nut in the world. Volatile demand and price are the major challenges for the Areca nut growers in India. The use of time series models to manage the price risk has become the interest of academicians today. This paper deals with developing an appropriate model to predict the prices of a new variety of Areca nut in Karnataka using monthly price data for the period January 2009 to December 2018. Box Jenkins ARIMA methodology is used to develop the model. Along with ARIMA estimates, log-likelihood, Akaike's information criterion (AIC) and Bayesian (BIC) information criterion statistics are also estimated to decide on the appropriate model. ACF and PACF correlograms for residuals of ARIMA are used to do the diagnostic check of the selected ARIMA model. Appropriate model to forecast the new variety Areca nut price is ARIMA (3, 1, 3). [ABSTRACT FROM AUTHOR]

Availability of suitable financial products or services to the rural mass is one of the criterion to achieve inclusive growth. This research paper highlights the role of Self Help Groups (SHGs) in achieving inclusive growth. Three major financial inclusion process indicators (FIPIs) and four major financial inclusion effectiveness indicators (FIEIs) have been used in the research to measure the effort of linked banks in providing financial products or services to the SHG members thereby fostering the inclusive growth. Research has been undertaken in Mangalore District of Karnataka State in India from 2006 to 2013. A total of 766 SHG members have taken active participation in the research through a structured schedule. Study has been divided in to two specific objectives and seven hypotheses. Wilcoxon Signed Ranks, a non-parametric statistical test has been used to validate the data. Both the indicators (FIPIs and FIEIs) have shown a weak presence before rural mass joined the SHGs. However, alarmingly all the three FIPIs have shown a considerable effort of linked banks in providing financial services to the SHG members after they joined the SHGs. At the same time, effectiveness of the efforts of the linked banks in offering financial services are also found to be robust in all the four FIEIs subsequent to joining SHGs by rural mass. Collectively, the FIPIs and FIEIs have shown an exceptional contribution in extending greater inclusive growth by accelerating the effort of providing financial services and its effectiveness in the District of Karnataka state in India through SHG model. [ABSTRACT FROM AUTHOR]