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The higher education, universities and institutions across the world have increasingly adopted information and communication technology (ICT) as a tool for curriculum development, learning and teaching, and for administrative activities. The use of technology to facilitate learning is gaining acceptance across various educational institutions. In order to use technology in the best possible manner, it becomes essential that the teacher should be willing to accept the technology and use it for the teaching activities. Thus, the purpose of this paper is to understand the teachers’ motivation toward adopting technology in the higher education.

An exploratory-descriptive approach is used in this research. The sampling frame for the study is the teachers employed in the management institutes in Bengaluru, Pune, Indore and Delhi. A simple random sampling technique is used for identifying the sample for the study. A self-administered questionnaire was employed to measure the validity of items measuring the teacher’s intention to use technology.

The results of the study confirm a significant positive impact of value beliefs (VB), social influence (SI) and perceived ease of use (PEOU) on the behavioral intention (BI) to use technology by the teachers. However, the study does not establish the relationship between self-efficacy and BI to use technology by teachers.

The use of technology will be an important area in the field of higher education where it becomes crucial to understand the motivation factors that lead to the adoption of ICT in the classroom and the curriculum. In order to successfully integrate technology into the teaching-learning process, it is concluded that the factors that positively influence the BI to use technology include the VB, PEOU and the SI.

This study contributes toward the study of teachers’ motivation in the adoption of technology in higher education in India.

Stress has been a common phenomenon among the working professionals. The stress has been known to affect the job satisfaction level, health outcomes, affect burnout through the physiological, emotional, behavioral and cognitive processes resulting in to low performance. This study aims to identify the factors determining organizational stress among women workers in the garment industry in India and to develop and validate a contextual scale for organizational stress among women workers in the garment industry in India.

This study consisted of women workers who were employed in garment manufacturing companies. The data has been collected through a structured questionnaire, which identifies the factors leading to stress. The respondents of the study included women workers employed in the garment manufacturing units in and around Bangalore. An exploratory factor analysis was conducted and the model fit was tested using confirmatory factor analysis.

The measurement scale for the organization stress of women workers in the garment industry was found to be highly reliable and valid for conducting the study in any Indian garment industry. The analysis identified the factors as follows: job-related factor, organization-related factor, social factor and personal factor.

Due to limited access to the population, which is the women workers, the authors have not been able to collect a large sample data. The sample size is the limitation of the study.

Organizational stress have has been shown to have a detrimental effect on the health and well-being of employees. Organizations need to step up their effort to integrate emotional well-being, conducive work environment, workloads and job responsibilities, social connectedness and job satisfaction with their efforts to support the physical health and mental health of the workers.

The study is one of its kind with a focus on women workers in the garment industry in India. The study highlights the factors that result in stress among women workers who have not been studied in past research studies. The strategies to cope with organizational stress in such a work requirement is different and very challenging, making it unique for practitioners.

This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies.

This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context.

Researchers from India have constructed a scale to measure organizational stress among women workers in the garment industry. The scale was found to be reliable and valid for the purpose. The analysis identified the main causes of stress as job-related stress, organization-related, social and personal.

The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

The present study compared Indian consumers' attitude (AT) toward and purchase intention (PI) from Western apparel brands, as a function of their Western acculturation (WA), consumer ethnocentrism (CE) in apparel consumption, consumer cosmopolitanism (CC) and country of residence (India vs the USA).

The sample included Indians residing in India and the USA, who were 19 years or older, and visited online or brick-and-mortar apparel stores. An online survey was administered through Amazon Mechanical Turk to collect the data. The data was analyzed through multi-group structural equation modeling.

WA engenders CE among Indian consumers, especially among Indians residing in India. WA and CC positively influence AT. CE did not have a significant negative influence on AT. Although a high CE lowers the PI, a high WA, CC and positive AT can translate into high PI.

The study did not use an experimental design. Therefore, causal relationships between the research variables could not be explained. Majority of the respondents were male. This might have confounded the findings with potential gendered effects.

Western apparel brands targeting Indian consumers in India and the USA should focus on projecting their cosmopolitan and pro-Indian image to target this population's cosmopolitan and ethnocentric outlook, thereby enhancing PI.

The study proposed and empirically tested a conceptual model indicating the relationship between some of the important predictors of Indian consumers' PI in the context of Indians residing in the USA and India.

The purpose of this study is to explore whether different board diversity attributes (corporate governance aspect) can be used to predict financial distress. This study also aims to identify what type of prediction models are more applicable to capture board diversity along with conventional predictors.

This study used Chinese A-listed companies during 2007–2016. Board diversity dimensions of gender, age, education, expertise and independence are categorized into three broad categories; relation-oriented diversity (age and gender), task-oriented diversity (expertise and education) and structural diversity (independence). The data is divided into test and validation sets. Six statistical and machine learning models that included logistic regression, dynamic hazard, K-nearest neighbor, random forest (RF), bagging and boosting were compared on Type I errors, Type II errors, accuracy and area under the curve.

The results indicate that board diversity attributes can significantly predict the financial distress of firms. Overall, the machine learning models perform better and the best model in terms of Type I error and accuracy is RF.

This study not only highlights symptoms but also causes of financial distress, which are deeply rooted in weak corporate governance. The result of the study can be used in future credit risk assessment by incorporating board diversity attributes. The study has implications for academicians, practitioners and nomination committees.

To the best of the authors’ knowledge, this study is the first to comprehensively investigate how different attributes of diversity can predict financial distress in Chinese firms. Further, this study also explores, which financial distress prediction models can show better predictive power.

The aim of the study is to build and validate a perceived financial well-being scale (PFWBS).

A total of 34 items were developed on a five-point Likert scale. Validation involved two phases and four steps. In the qualitative phase, interviews, validation by specialists and the pre-test were carried out. In the quantitative phase, a sample of 1,020 cases was used in the exploratory stage and another sample of 2,293 individuals in the confirmatory validation stage.

The PFWBS is composed of 23 items distributed in four dimensions (financial security, financial tranquility, financial freedom and satisfaction with financial management) that identify the perception of financial well-being of the consumers of financial products.

The authors propose a methodological framework that allows researchers, managers and policy makers to use the indicator to assess citizens' perception of financial well-being.

The PFWBS can be useful in evaluating the results of different public policies, such as income transfer programs and financial education policies. It can also serve as a parameter for the financial system to assess the perception of its customers, helping to evaluate products and services.

Financial well-being lacks valid measurement scales in the literature. This study advances by creating a scale for the assessment of the perception of financial well-being, which can be applied in different contexts.