Exploring the antecedents of institutional effectiveness: a case study of higher education universities in India

The significance of Institutional Effectiveness is pivotal to the functioning of an academic institution. The mushrooming of private institutions in the Indian higher education space necessitates exploring its antecedents to ensure quality higher education is imparted by the institution. The purpose of this research endeavor is to explore the impact of Academic Leadership on Institutional Effectiveness with a mediating role of Campus Culture and Faculty Involvement in Decision Making. The study employed a cross-sectional research design and implemented a purposive sampling technique to collet primary data from 80 permanent faculties and 249 students of private engineering colleges located in the Karnataka state of India. Data was collected through a structured questionnaire and analyzed using Partial Least Square-Structural Equation Modeling. Hypothesis shows academic leadership and campus culture has high influence on institutional effectiveness. Faculty in decision making and campus culture partially mediates between academic leadership and institutional effectiveness. The results of FIMIX-PLS and PLS-MGA analysis shows the similarity in the results of total effect and path relationships. This paper provides theoretical foundations and empirical findings on conceptualizing the antecedents of institutional effectiveness. The outcomes of this research serve as significant input to policy makers and higher education institutions to facilitate enhancement of institutional effectiveness

Exploring the sustainable effect of mediational role of brand commitment and brand trust on brand loyalty: an empirical study

The study focus on the role of self-expressive branding, brand love, brand trust and brand commitment on brand loyalty. It also identifies the strength of mediating effect of variable brand commitment between brand love and brand trust. Also measures the strength of mediating effect of variable brand commitment between brand trust and brand loyalty. The data is gathered by using a structured questionnaire and a sample size of 101 respondents in a cross-sectional study. Statistical analysis has been done through SMART PLS 3.0 software. In the analysis part, PLS algorithms, bootstrapping, blindfolding, Importance performance matrix, FIMIX, Multi-Group analysis have been undertaken. A reflective model has been developed. The path coefficient value and empirical t-values of all direct relationships of variables above 0.2 and 1.96 respectively and substantiate the hypothesis. The results have shown that brand commitment is partially mediates the association between brand love and brand trust and also between brand trust and brand loyalty. The four-segment solution’s FIMIX-PLS path coefficient shows that brand love and brand trust are more relevant in segment 3, followed by segment 2, segment 1 and segment 4, respectively. Companies should focus on improving their brand trust displayed by consumers followed by brand commitment which strengthens brand loyalty in the automobile sector. This industry could consider implementing this creating trustworthiness about the brand, by developing strong psychological connectedness between the customer and brand by the retail outlet by offering the best quality product, and by incorporating strategies to reduce cognitive dissonance among the buyers

Business intelligence appraisal based on customer behaviour profile by using hobby based opinion mining in India: a case study

This research study contributes towards understanding the customer’s behaviour dynamics. In business analysis, it is very important not to ignore the fact that the interaction between human beings implicitly includes an emotional dimension. The research methodology includes the following: (1) customer purchase pattern prediction methods based on correlation; (2) augmentation of data set by using genetic algorithms; and (3) multiple regression models. The analysis indicates how the hobby of a customer is directly related to the purchase patterns and satisfaction level. We applied business intelligence (BI) techniques and concluded that, by using multiple regression method is possible to evaluate the level of customer satisfaction up to the upper limit of security of about 90%. BI tools could be used to employ significant achievements in specific fields based on open innovations. This paper aims at providing further practical guidance in this innovative research field by using a mix of interdisciplinary methods and techniques