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The study examines the impact of social media distraction on the relationship between student engagement and student evaluations of teachers (SET) in management education, part of the STEM disciplines. While it is widely accepted that student engagement and evaluation of teachers are two important constructs of active learning systems, their links, especially in the context of management education, have not been explored. This study seeks to fill this research gap as teachers' appraisal and career growth greatly depend on SET across higher education institutes worldwide.

Data were collected from 247 student participants from higher education institutes/universities using a questionnaire-based survey. Further, 15 students were interviewed to glean insights from their feelings regarding social media distractions and how it impacts their engagement and evaluation of teachers. For the quantitative and qualitative analyses, multiple regression and thematic analysis were applied, respectively. A word tree was developed to determine the association between experiences and contexts.

The results indicate that social media distraction moderates the relationship between students' cognitive engagement and their evaluation of teaching faculty. Social media distractions disrupt student engagement inside the classroom, leading to wrong/biased assessments of teachers' performance. Additionally, cognitive and emotional engagement significantly impacted student evaluations of the management college faculty.

The authors’ findings enable educators in higher education systems, specifically management education, to rethink the faculty feedback system and social media distractions impeding student engagement other than SET drawbacks.

The investigation of the relationship between the future of humanity and the future of ecology is a pertinent issue. In this context, the study aimed to explore people's travel experience in the Himalayan region of India for transformation and well-being and how transformation induces their involvement in regenerative practices. The authors investigated if transformations contribute to the well-being of all living beings and the environment and induce involvement in regenerative practices?

The authors preferred qualitative research design and selected narrative inquiry as a research approach to bring individuals' life stories to the centre stage for examination. Accordingly, diachronic data was collected, and a paradigmatic type of narrative inquiry was applied that uses paradigmatic analytical procedures to produce thematic categories and taxonomies from the database.

Nine themes were identified and discussed in the light of existing literature. Transformational tourism promotes well-being and reduces mental health anomalies. The study participants used words like calm, compose, stress-free, and compassion, indicating enhanced consciousness. They also reported satisfaction and induced environmentally friendly behaviour after serving the community and environment at tourist destinations situated in Himachal Pradesh, Uttarakhand, and the Union territory of Ladakh of the Himalayan region of India.

The paper collates evidence to establish a correlation between transformation and regeneration. There is a suggestion that transformative travel leads to participation in regenerative activities. The paper is based on people's experiences described as green workers of the Indian Himalayas and provides empirical conclusions that support the argument of transformational induced regenerative tourism.

The purpose of this paper is to measure the vulnerability to food insecurity in rural Punjab, Pakistan.

Primary data of 1,152 households were collected. The extent of food deficiency was measured using dietary intake assessment method (seven days). Value at Risk (VaR) and conditional Value at Risk (cVaR), a method widely used for risk analysis in financial institutes, were applied to assess the vulnerability to food insecurity.

In total, 23 percent of the sample households were measured as food deficient. The VaR and cVaR results identified that the lowest 3 percentiles (up to 30 percent) were at risk to become food deficient without any seasonal shortages. In case of shocks, up till sixth percentiles (60 percent) will be as at risk of food deficiency. This study suggests that multi-period data, at least quarterly, are required to predict vulnerability. It is suggested that a blanket policy is not a good approach. Once the most vulnerable households are identified, a targeted approach must be opted.

Generalizing the results of one week’s calorie calculations may produce biased results that may mislead the policy process. A multi-period data collection is costly and cumbersome. The application of VaR and cVaR helps overcome this issue. Furthermore, this is one of the initial studies to apply these methods to food security analysis.

Total quality management is an approach to continuous organizational improvement, the goal of which is meeting customers’ needs. Two major TQM components are the use of statistical tools to help abolish non‐value‐added activities, and a change in managers’ behaviour, and from those who direct, are competitive, rely on rules, towards managers who lead, guide, co‐operate, focus on the process, view people as assets, and encourage variety, flexibility, etc. TQM programmes are not always effective; some focus more on statistical issues while others focus on more people issues. Examines the association of several variables used in TQM implementations in hospitals, manufacturing, and service organizations. Examines variables against two groupings of qualitative measures of TQM and quantitative measures of TQM. Depicts the successfulness of TQM and whether qualitative or quantitative measures are a determinant of this success. The research hypothesis is: TQM programmes are successful in organizations when their approach to TQM is based on the application of statistical process control tools/principles rather than solely on qualitative measures.

Talent scarcity in emerging economies such as India poses challenges for companies, and limited labour market participation among well-educated women has been observed. The reasons that professionals decide not to pursue a further corporate career remain unclear. By investigating career decision-making, this article aims to highlight (1) the contextual factors that impact those decisions, (2) individuals' agency to handle them and (3) the implications for talent management (TM).

Following a qualitative research design, computer-aided analysis was conducted on interviews with 24 internationally experienced Indian business professionals. A novel application of neo-institutionalism in the Indian context was combined with the family-relatedness of work decisions (FRWD) model.

Career decisions indicate that rebellion against Indian societal and family expectations is essential to following a career path, especially for women. TM as part of the current institutional framework serves as a legitimising façade veiling traditional practices that hinder females' careers.

Interviewees adopted a retrospective perspective when describing their career decisions; therefore, different views might have existed at the moment of decision-making.

Design and implementation of gender-sensitive TM adjusted to fit the specific Indian context can contribute to retaining female talent in companies and the labour market.

The importance of gender-sensitive TM can be concluded from an empirical study of the context-based career decision-making of experienced business professionals from India. The synthesis of neo-institutionalism, the FRWD model and the research results provides assistance in mapping talent experiences and implications for overcoming the challenges of talent scarcity in India.