The purpose of this paper is to measure the academic motives of faculty in higher education to understand the pattern of relationships between work motivation scale (WMS) and technological pedagogical content knowledge (TPACK).
The research adopts regression analysis to help model the data collected from 63 faculty members from India. The empirical study investigated the relationship of intrinsic motivation (IntrM), integrated motivation (InteM), identified motivation (IdenM), introjected motivation (IntrjM), external regulation motivation (ExtR) and amotivation (Amot) with each of technological knowledge (TK), (pedagogical knowledge (PK), content knowledge (CK) and TPACK.
Optimal functioning among faculty was due to “InteM” followed by “IntrM” and “IdenM” that yielded most positive consequence (mean values>3.9). “ExtR” and “Amot” were the negative outcomes that would be counterproductive and result in employee dejection (Mean values<3.1). The results proved that all TPACK variables were positively related to “IntrM” – a self-determined motivation. Additionally, “TK” and “PK’ were positively related to “IntrjM” – a behavior that is regulated by self-esteem and self-worth; “TPACK” depicted positive relationship with “IntrjM” and negative correlation with “IdenM.”
The study supported the fact that TPACK and WMS when analyzed together can create better engagement models among the faculty for an enriching learner experience interaction. Furthermore, it would help identify specific strategies on teacher development training programs through the integration of technology.
The study is original and seeks to inspect the relationship between TPACK and WMS among faculty of higher education in Indian business schools.
The outbreak of COVID-19 saw a robust increase in viewership of over-the-top (OTT) media platforms. This study aims to investigate the impact of COVID-19 on OTT platforms…
The outbreak of COVID-19 saw a robust increase in viewership of over-the-top (OTT) media platforms. This study aims to investigate the impact of COVID-19 on OTT platforms in India, as it has led to reshaping consumer content preferences.
The authors have conducted primary research by doing a survey and focus group discussion. The first study has focused on the impact of various factors such as time, content, convenience, satisfaction and work from home (WFH) on OTT platforms during the COVID-19 crisis and the second study has focused on change in behavior of people before and during lockdown using visual representation.
The findings of this study show that lockdown has played a major role in the increase in viewership of OTT platforms, as people working from home are also using OTT platforms more. The average hours spent on OTT have increased from 0–2 to 2–5 h and average spending that users are willing to make on OTT platforms is Rs 100–300 (per month). The satisfaction level of customers is directly related to space to watch with family, time to use OTT platforms, the quality of content on OTT platforms and preference of OTT platform over television. Also, factors such as age group, occupation, city and income groups also determine the usage of the OTT platform.
The main contribution of this paper is to analyze the customer needs that impact their satisfaction level.