This research makes an attempt to understand various factors that influence the adoption of mobile applications. Within the context of the “Unified theory of acceptance and use of technology” (UTAUT) modified model, considering the upcoming demand and increase in demand for mobile-banking applications, the researcher tried to explore the theoretical concept between random people of various states in India. The primary data was collected by preparing a questionnaire and circulating it using Google Forms. The collected data was further coded into Smart PLS 4 to understand the model and structural equation with reference to mobile-banking technological adoption and factors that had a significant impact. The conclusions derived from the study is that social influence, “effort expectancy”, and “trust” factors had a very strong influence on the “purchase intention”, whereas “effort” and “risk” factors had a negligible impact on purchase intent. It was also found that the UTAUT model is appropriate for evaluating the technological adoption of mobile-banking applications. With the advent of many players in the market and their unique banking management applications on mobile platforms, consumers are moving towards different third-party app than their origin bank in which they hold account. This has forced banking institutions to up the pace in the competition, introducing a lot of new features. It is also important to understand that, as a customer, there are a lot of attributes that he would be looking into for adoption. This paper is an attempt to understand the advancements in various variables that consumers would look at in the area of mobile-banking applications.

Performance appraisal is the bedrock of talent management and has received much attention from scholars and researchers alike in their pursuit to develop accurate, objective, and robust Performance Management Systems (PMS). Through survey questionnaire the present study examines the prevalence of idiosyncratic rater biases on the performance appraisal systems and evaluates the measure of its impact. The correlations between the personality traits and the similarities of the raters’ workplace characteristics with the raters’ performance ratings are also determined. The study has provided empirical evidence of the manifestation of idiosyncratic rater bias in the company under study. The idiosyncratic rater tendencies showed a significant impact on performance ratings. It was seen that about one-third of the variations in the ratings were resultant of the idiosyncratic factors, such as similarities in the personality traits and workplace identities. It is also found that there exists a positive correlation between the similarities in the identities, as well as the personality traits of the raters and the ratees, and the way the rating awarded by the rater.

Various rubber products are used in the textile industry. Due to increased foreign supply and synthetic rubber production, the price of natural Rubber in India has become more volatile. This paper aims to develop an appropriate model to predict the weekly price using the Box Jenkins methodology. The weekly price for Indian RSS-1 Rubber for the sample period from January 2002 to December 2019 has been collected from the official website of the Indian Rubber Board. ACF and PACF correlograms check the series stationarity and identify the model parameters. A model with the maximum number of significant coefficients, lowest volatility, lowest Akaike's information criterion (AIC), lowest Schwarz criterion and highest Adjusted R-squared is tentatively selected as the appropriate model and for the same model diagnostic check is carried out. An appropriate model to forecast the weekly price for the RSS-1 variety of Rubber is ARIMA (1, 1, 4).