3 research outputs found
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 solutionās
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 customerās
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