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Though e-learning and learner's perspective have been researched a lot by researchers, there is a real dearth of quality empirical research studies on adoption of massive open online courses (MOOCs) from teachers' perspective in general and in Indian scenario in particular. In addition to accomplishing these, the presented research is also unique as it deploys technology acceptance model for Indian educators' perspective for the first time. Towards this end, the paper presents the development of seven hypotheses, their compilation in the proposed conceptual model followed by its testing with model-fit indices. Technically, two-step data analysis with confirmatory factor analysis, path analysis with structural equation modelling and reliability analysis with Cronbach's alpha (CA) have been carried out. This is the first formal attempt to statistically investigate and validate the determinants of teachers' acceptance and use of MOOCs. Specifically, the influence of social context, perceived usefulness, perceived ease of use and content quality on the teacher's intentions of adopting MOOCs have been examined. The role of mediating factors and the possibility of a teacher's intention to adopt MOOCs in the near future are also analysed in depth.

The COVID-19 pandemic has brought revolutionary changes in many spheres of life including the higher education sector, which has seen a major paradigm shift. The response to this has been in the form of switching to, or adopting the online teaching-learning methodologies for higher education in India. This study is a formal attempt to examine the influence of Perceived Usefulness (PU), Perceived Ease of Use (PEU), attitude, and Facilitating Conditions (FC) on the Continuance Intention (CIU) of the teacher for the use of various digital technologies in teaching practices. With the deployment of Technology Acceptance Model (TAM) as a base, we present a model with six different inter-related constructs. The data for empirical investigations is sourced from nearly 250 respondents. Data analysis is carried out in two steps: (a) Confirmatory Factor Analysis (CFA), and (b) path analysis with Structural Equation Modelling (SEM). Reliability Analysis (RA) is done using Cronbach's Alpha test. Data analysis reveals that FC and PEU significantly affect CIU to use digital technologies, which affects the Actual Use (AU). Also, the role of Self-efficacy (SE) as a moderating variable between CIU and AU for digital technologies in the study has been found to be significant.

Purpose: In today's dynamic situation, innumerable challenges are posited in the education sector because of the COVID-19 pandemic. Higher educational institutes (HEIs) are compelled to adopt digital technologies and technology-mediated learning in the teaching-learning processes. The purpose of this paper is to understand the factors affecting learning effectiveness, learning satisfaction and the mediating role of prerecorded videos from the learners' perspective. Design/methodology/approach: A self-designed structured questionnaire based on previous similar studies is adopted as a survey instrument. It consists of 22 questions to address the five constructs of the proposed hypothesized conceptual model, developed for the study. Data of 311 students from HEIs of Maharashtra state in India were collected. Confirmatory factor analysis is carried out to test the model fitness, reliability and validity, and structural equation modeling is applied to conduct path analysis and hypotheses testing of the model. Findings: Hypotheses testing reveals that perceived usefulness (PU) significantly affects the perceived learning effectiveness, which again affects the learning satisfaction of the students. In addition, perceived ease of use affects the PU as suggested in the technology acceptance model. The prerecorded videos have a moderating role to play in the computer self-efficacy and the perceived learning effectiveness of the students. This research will provide meaningful acumen to enhance the overall learning process among students in urban as well as rural India. Originality/value: This study explores the technology-mediated learning during the unexpected and dynamic situations of the COVID-19 pandemic in the context of higher education in India. For sustainable use of technology-assisted learning, educators must understand the key factors that influence students' learning effectiveness and satisfaction. The research outcomes will lead toward developing the human capacities, as the prerecorded videos at the HEIs of India will provide new approaches for effectively adopting digital technologies and technology-mediated learning.

Purpose: COVID-19 outbreak has compelled the world-wide education system to use the digital collaboration platform (DCP) for online learning, for robust inclusive sustainable education. The purpose of this paper is to understand the adoption intention and effectiveness of DCP using technology acceptance model (TAM) for online learning among students studying in higher education institutes (HEIs) in India. Design/methodology/approach: A structured questionnaire has been adopted to survey and collect data from 324 students studying in HEI of Maharashtra state in India. The questionnaire consisted of 28 constructs. The constructs in this section were measured using a five-point Likert scale ranging. In the first step, first-order confirmatory factor analysis is carried out by using the software IBM AMOS-20. The initial model is generated for six constructs, and outcomes are used to analyze the model's goodness of fit and construct validity. In second step, structural equation modelling is carried out to do the path analysis of the proposed model. Findings: The findings connote that the interactivity, cost-effectiveness and the core TAM constructs as perceived usefulness form positive attitude towards usage of DCP and intention to adopt it in near future by the students of HEI of India. The research is an attempt to provide possible explanations for the epochal relationships between the constructs and discusses the usage of information, which can be further used to enhance the acceptance of DCP among students in urban as well as rural India. Research limitations/implications: The results and findings will provide a direction to the various stakeholders such as educators, management, learners and the parents on the adoption intention of digital collaborative platform from a learner's point of view. This will lead to the knowledge which will help in practical implementations of these technologies. Practical implications: The results and findings will provide a direction to the various stakeholders such as educators, management, learners and the parents on the adoption intention of DCP from learner's point of view. This will lead to the knowledge which will help in practical implementations of these technologies. The findings imply that the interactivity, cost-effectiveness and the core constructs of TAM such as perceived usefulness form positive attitude towards usage of DCP and intention to adopt it in near future by the students of HEI of India. This research provides possible explanations for the significant relationships between the constructs and discusses how this information can be used to enhance the acceptance of DCP among students in urban as well as rural India. Social implications: This research provides possible explanations for the significant relationships between the constructs and discusses how this information can be used to enhance the acceptance of DCP among students in urban as well as rural India, which is the need of hour for sustainable education. Originality/value: There are tremendous studies on online learning and use of digital platforms including the constructs of TAM but in the times of COVID-19, where it has become mandatory for all educational institutes to use the digital collaborative platform for continuance of education. The study is original and is an attempt to understand students' perspective towards usage of DCP and its effectiveness in learning in the rural parts of Maharashtra from where the students hail to study in HEI in Pune and Mumbai.

Industrial organisations must now develop and implement novel approaches to operations and production if they are to compete effectively on a global scale. Changes in product development practises and the use of new technologies have occurred. Businesses encounter problems and difficulties as a direct result of the rapid pace of market change. Organisational priorities focus on minimising waste while simultaneously improving quality and cutting costs. Lean manufacturing is an established approach that should be included into every strategic company strategy. Lean manufacturing concept is a revolutionary that aims to increase resource use while minimising waste. Lean manufacturing has been shown to increase plant efficiency and decrease processing times in major manufacturing operations. In the end, industries depend greatly on their capacity to systematically and consistently cope with obstacles in order to increase product value. Therefore, a value-adding framework must be implemented; the adoption of a lean manufacturing system becomes crucial for any kind of business if it is to achieve this level of perfection. This article gives a overview of lean manufacturing their concepts, tools with application and artificial intelligence in lean manufacturing.

The current educational scenario is changing and inclining more towards digital technologies for teaching-learning. Interactions during the classrooms or virtual sessions are vital for students' learning engagements. Learner-learner interactions and educator-learner interactions during online classes are to be promoted and sustained for a better teaching-learning experience. The use of social media in education is noted in previous research. This paper aims to explore the role of social media in learner-learner interactions and its impact on students' learning engagement. A theoretical model is proposed in the study through a review of existing literature. The model testing is done with data of 344 respondents through a self-designed structured questionnaire. The respondents are selected from an urban city in western India. Confirmatory factor analysis and structural equation modelling are applied for the hypotheses testing and regression analysis. The results indicate that the learner-learner interactions, as well as the educator-learner interactions, are imperative for student learning engagement in online teaching. Also, learner-learner interactions are positively affected by the students' self-efficacy concerning the technology. The study also noted that the use of social media improves learner-learner interaction and student learning engagement in a technology-mediated learning environment. [ABSTRACT FROM AUTHOR]