Soham Chakraborty and Pathik Mandal
Modeling and inferring about the process using growth models are the problems of enormous practical importance. Growth behavior of melting point (MP) during hydrogenation is found…
Abstract
Purpose
Modeling and inferring about the process using growth models are the problems of enormous practical importance. Growth behavior of melting point (MP) during hydrogenation is found to be nonlinear. The purpose of this paper is to propose a control chart based method for on-line detection of a growth process becoming dead.
Design/methodology/approach
The nonlinear growth kinetics of MP during hydrogenation is modeled as a random walk with drift. In earlier work, the random walk model is developed based on a linear approximation and the control chart is constructed based on this approximate model. Here, an alternative model that does not make use of any such approximation is proposed. The variable drift component of the random walk is estimated following an innovative method of instrumental variable estimation. The model thus obtained is then used to construct a new control chart.
Findings
It is shown that both the control charts are able to detect dead batches satisfactorily, but the new chart is superior to the earlier one.
Originality/value
The authors are not aware of any relevant literature which provides an implementable and practitioner friendly approach to model the usually cumbersome variance function using signal-to-noise ratio and then use the same for estimating the parameters of a nonlinear dynamic growth model.
Details
Keywords
Aradhana Gandhi and Sunaina Kuknor
The study aimed to capture student experience during virtual internships by identifying the facilitators and barriers during their experiential learning journey. The students were…
Abstract
Purpose
The study aimed to capture student experience during virtual internships by identifying the facilitators and barriers during their experiential learning journey. The students were pursuing their Master’s in Business Administration (MBA) program at a business school in India. The authors shed light on the impact of COVID-19 pandemic on the current education system, specifically experiential learning through virtual internships.
Design/methodology/approach
About 38 Semi-structured in-depth interviews were conducted from July to September 2022 with the students of a business school located in Pune, India. Interviews were transcribed and analyzed to generate new themes for ascertaining the facilitators and barriers to virtual internships. Interpretative Phenomenology Analysis was undertaken to analyze the lived experiences of the respondents.
Findings
Students viewed virtual internships positively in terms of mentor support, active learning, flexibility, and an easy onboarding process. Poor work-life balance, lack of peer learning and infrastructure issues were some of the barriers/challenges faced by the students.
Practical implications
The study discusses various managerial and administrative implications. The findings help educationists design effective pedagogy by drawing insights from constructivist learning theory, where students' active role during virtual internships must be given primary attention. Corrective measures in the pedagogy can be taken while designing a virtual internship, considering the barriers found in this study.
Originality/value
The themes identified in the study are a novel contribution to the growing body of knowledge on virtual experiential learning. The study empirically captures student experience regarding a relatively new phenomenon of virtual internships, which is the uniqueness of this paper.