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The study has identified the factors among students that can enable or inhibit students from using online learning platforms. Students enrolled at different levels, diversified streams and separate courses were surveyed for the investigation. The study also highlights the significant hitches faced in using or adopting e-learning.

Responses were collected from Indian students on a seven-point Likert-type scale using a structured questionnaire around the updated Technology Readiness Index's four dimensions. Adapted dimensions were evolved to identify the people's propensity to accept and reject the new technology.

The result of the survey highlights the students' positive attitude towards the e-learning approach. The diffusion of e-learning platforms occupies them with a feeling of optimism and innovativeness. However, discomfort in using the newly penetrated e-learning platforms was also found. Furthermore, no significant variances concerning the different demographics were detected.

The cross-sectional research approach was used for the investigation. However, it is evident that with the use and experience of technology, an increase in its acceptance follows. Thus, a longitudinal research approach should explore the differences between students' earlier and later involvement after experiencing the platform. A cross-country investigation is also needed to measure the technological biases among students.

With advancements in technology, the chances of diffusion of e-learning in traditional classrooms have risen. However, to encourage the student's engagement towards e-learning, the platform needs to be student and teacher-friendly. This study serves the purpose of exploring the determinants that will guide educational institutes and developers of online platforms in achieving excellence in enhancement and engagement among students.

The investigation adds to recognize the acceptance of e-learning among students by exploring its determinants using the Technology Readiness Index 2.0. The study has also explored the differences in readiness to use e-learning on differences in enrolment level, institute type and courses.

Based on the literature on technology readiness, online learning readiness, and mobile computer anxiety, the purpose of this paper is to develop and validate a mobile learning readiness (MLR) scale which can be used to assess individuals’ readiness to embrace m-learning systems.

Based on previous literature, this study conceptualizes the construct of MLR and generates an initial 55-item MLR scale. A total of 319 responses are collected from a three-month internet-based survey. Based on the sample data, this study provides an empirical validation of the MLR construct and its underlying dimensionality, and develops a generic MLR scale with desirable psychometric properties, including reliability, content validity, criterion-related validity, convergent validity, discriminant validity, and nomological validity.

This study develops and validates a 19-item MLR scale with three dimensions (i.e. m-learning self-efficacy, optimism, and self-directed learning). A tentative norm of the MLR scale is presented, and the scale’s theoretical and practical applications are also discussed.

This study is a pioneering effort to develop and validate a MLR scale. The results of this study are helpful to researchers in building m-learning theories and to educators in assessing and promoting individuals’ acceptance of m-learning systems.

Teaching and learning are being transformed by digital technology, where the present generation of students, termed millennials, are more adept with the increasingly digitalised world we live in. Following this, lecturers and institutions are adapting and adopting a blended learning model across disciplines, which now commands an entire domain of research and application. However, questions remain about how ready students are for a blended learning model of instruction. The purpose of this study is to investigate students’ readiness for blended learning in a leading Malaysian private higher education institution.

This study used a non-experimental quantitative research design. Data were gathered from a sample of 274 pre-university and undergraduate students using the blended learning readiness engagement questionnaire. Data was analysed using WINSTEPS Rasch model measurement software to determine the validity and reliability of the instrument. Descriptive statistics (mean and standard deviation) scores, (logit) value of the item and (logit) value of a person was used to examine students’ readiness for a blended learning model of instruction and specifically assess their readiness based on gender, age, ethnicity and field of study.

Findings indicate that students were ready for blended learning. Further analysis indicated there were differences in students’ readiness for blended learning based on gender, age, ethnicity and field of study.

This study provides insight into students’ readiness towards blended learning in a leading Malaysian private higher education institution, discusses implications for blended learning practices and offers recommendations for future research.

The main purpose of this study is aimed to estimate the mediating role of student engagement in the structural relationships between students' field of study choice, learning readiness and academic competence of undergraduate students in higher education.

In the study process, a correlational design was employed. Data were collected from 419 participants who were selected through a simple random sampling technique. Structural equation modeling (SEM) was used to analyze the data.

The study findings showed neither field of study choice nor learning readiness has a significant direct effect on student's academic competence. However, when student engagement, entered the relationships between “field of study choice and academic competence” as well as “learning readiness and academic competence”, the indirect effects became significant. Both conditions, therefore, suggesting student engagement had a full mediation role in the structural relationship models.

Based on the results, it can be concluded that student engagement is shown as one of the key variables used to comprehend how students develop competence in the teaching-learning process. Hence, teachers and academic administrators could use engagement as a strong instrument to optimize students' learning and academic competence to enhance their academic success.

The paper reports a study that was intended to develop a self-assessment instrument to measure high school students' readiness for pursuing independent online learning.

The instrument was developed through the following steps: (1) developing the draft, (2) checking the instrument's face validity and (3) testing the instrument's validity, reliability and discriminant capacity using PLS analysis.

The study has developed a tool to self-assess high school students' readiness for independent online learning. The instrument consists of 36 statement items and is statistically proven to have good reliability, construct and indicator validity and a discriminating power.

The instrument items were designed to fit the context of Indonesian high school students. However, only responses from high school students in rather urban areas were used to test the validity and reliability of the instrument. This could imply that the instrument is only accurate in urban settings.

As a result of the research, a tool to assess high school students' readiness for independent online learning has been created. To better prepare students for independent online learning endeavors, the school might use the results to enhance areas that need improvement.

The study succeeded in developing a contextualized self-assessment tool for measuring Indonesian students' independent online learning readiness.

The purpose of this paper is to briefly describe a model of group learning, examine variables that stimulate a group to learn and determine the group's readiness to learn, and provide suggested interventions to enhance group readiness to learn.

This practical paper, based on a model of group learning and recent group, learning, and systems literature, examines what triggers groups to learn and what makes groups ready to learn, and then suggest interventions to enhance group readiness to learn. Learning requires that the group recognizes variables that trigger learning. These may be pressures or opportunities from outside the group or encouragement and direction from group members. In addition, the group needs to be ready to learn when the triggers occur. Readiness to learn is a function of the group's maturity, boundary permeability, and learning orientation.

Based on a review of the literature and the model, the paper suggests ways to diagnose learning triggers and readiness and propose interventions to increase general readiness to learn as well as the group's readiness to learn as the group is forming, when the group makes progress, and as the group concludes its work. Finally, the paper presents a case to demonstrate learning triggers and the importance of readiness to learn.

This paper fulfills an identified need by managers in organizations regarding understanding group learning, what triggers it, and how to enhance group readiness to learn and offers practical help to stimulating a group's readiness to learn.

The purpose of this study is to augment knowledge of how work environment and personal characteristics affect intention to transfer in a work context. This study aims to investigate the factors that can influence intention to transfer training in a professional development training context. The study examined the predictive capacity of organizational support, supervisor support, training readiness and learning motivation on transfer intention among the study respondents.

Data were collected from teachers in secondary schools in the USA. The structural equation modeling method was adopted to analyze 216 responses using a self-report survey.

We found that (a) organizational support was directly associated with supervisor support for training, (b) supervisor support for training significantly influenced training readiness and motivation to learn, (c) training readiness positively affected motivation to learn, and (d) motivation to learn positively influenced intention to transfer. In addition, supervisor support mediated the relationships between organizational support and training readiness and between organizational support and motivation to learn. Training readiness linked intention to transfer and motivation to learn. Motivation to learn also played a mediating role in the relationship between supervisor support and intention to transfer.

Our findings add to the academic work on training transfer by empirically analyzing how both the environment (e.g. organizational support) and individual factors (e.g. learning motivation) influence employees’ intention to transfer. In particular, we investigated the potential impact of both organizational support and supervisory support on intentions to transfer, compared to previous studies emphasizing only supervisory support to improve training outcomes.

The world after the pandemic of Covid-19 is looking at a different environment in teaching and learning and primarily being influenced by general online learning readiness. Perception towards the measurement of online learning readiness would also need to change. This study seeks to determine whether Malaysian undergraduate students are ready to study online if the Movement Control Order (MCO) is reimposed.

Using an online poll, this study analysed 299 undergraduate students from Malaysia's public and private universities. The collected data were then analysed using SmartPLS software to test the measurement model and structural equation modelling.

The findings of this study indicate that computer self-efficacy and self-directed learning have a substantially positive link with online learning preparedness among Malaysian undergraduate students.

Findings in this study indicate that universities should draw comprehensive plans to enhance students' readiness in terms of indicators such as technology usage, technology availability, computer and internet efficacy, self-directed learning and attitude. One of the aspects that require change is online communication self-efficacy. Thus, there is a need for improvement, or this would affect undergraduates adversely, especially in the event of future MCO.

The originality of this article lies in the time frame this study was conducted, where cases of coronavirus infection are seen to increase around the world and there is a possibility that movement restrictions will be re-enforced. The findings in this study are expected to give insight to the government in the effort of the national higher education plan. By not undervaluing previous research models, this research model should give a new perspective to the academic literature on online learning among undergraduate students.

Students of organizations are beginning to recognize the importance of continuous learning in organizations, but to date the concept is not well understood, particularly in terms of how the learning of individuals is related to the learning that takes place in groups, which is related to the learning that occurs in organizations (and all other combinations). To further our understanding, we offer the idea of continuous learning in organizations from a living system's perspective. We view individuals, groups, and organizations as living systems nested in a hierarchy. We propose that living systems can learn in three ways: they can adapt, they can generate, and they can transform. Learning triggers from the environment spark learning, and this relationship is moderated by the system's readiness to learn. Readiness to learn is a function of the permeability of the system's boundaries, the system's stage of development, and the system's meta-systems perspective. Additional research questions are presented to explore learning flow between levels and to determine how the match between one system's pressure for change and another system's readiness to learn affects the emergence of adaptive, generative, and transformative learning. In addition, research questions are offered as a means to test these ideas and build grounded theory. Finally, using this model, the chapter presents three case studies and suggests diagnostic questions to analyze and facilitate continuous learning from a multi-level perspective.

The current research considers the possibility that when firms are faced with a challenging supply chain task or opportunity for supply chain operational improvement, they choose varying degrees of technology and/or collaboration as the primary vehicle(s) with which to forge a solution. This choice is suggested herein to depend largely on technological readiness, i.e. the extent to which the firm embraces available technological solutions. Furthermore, the learning capability of the firm moderates the inverse relationship between interfirm collaboration and technological readiness, such that firms having strong organizational learning capabilities are less likely to choose a collaboration‐intensive solution than those with weak learning capabilities. This paper aims to address these issues.

A sample of retail supply chain managers drawn from the Council of Supply Chain Management Professionals membership database is surveyed related to their firms' levels of interfirm collaboration, organizational learning capabilities, and technological readiness. Two multiple moderated regression variants are used to test the hypotheses.

Results of this research support the hypothesized logic, and implications for practice are presented in light of a revealed inverse relationship between technological readiness and interfirm collaboration that is exacerbated when the firm has a strong learning orientation.

This paper is among the first known to examine potential internal/external tradeoffs between collaboration and technology as problem‐solving vehicles. Both managers and researchers should find it interesting that collaboration is neither wholly desirable nor necessary (and therefore the associated risks mitigated) in technologically ready and/or high learning capability environments.