This study examines the impact of big data analytics capabilities (BDAC) on sustainability reporting disclosure on Facebook (SRDF) and the moderating impact of tone at the top’s attributes on the relationship between BDAC and SRDF. A total of 100 publicly listed companies (PLCs) in Malaysia that mentioned using social media during the year 2019 were chosen as this study’s sample. This study was underpinned by positivist research paradigm and used quantitative data collection methods (questionnaire and content analysis). Based on the structural equation modelling (SEM) employed, the results of the study showed that BDAC implementation had a significant impact on SRDF. The presence of a specific tone (certainty) at the top in Chief Executive Officer’s (CEO) letters strengthened the relationship between BDAC and SRDF, but other attributes of tone at the top showed insignificant results. This study acknowledges the important contribution of dynamic capabilities, such as BDAC and a specific tone at the top, i.e., certainty, in promoting sustainability reporting on social media from the perspective of dynamic capabilities view (DCV) theory. Thus, companies are suggested to implement BDAC and communicate certainty in the tone at the top to improve their sustainability reporting on social media, particularly on Facebook.

To achieve the sustainable development goal of “no poverty”, many attempts have been made to measure poverty so that policy intervention can target the right people with the correct intensity. Since the traditional method of a unidimensional approach using monetary indicators, such as income and consumption, is now considered insufficient, a multidimensional approach has been employed using non-monetary indicators. The latter approach encompasses the different poverty aspects affecting an individual’s capabilities and functioning. This study aimed to calculate multidimensional poverty in Pakistan using the Alkire & Foster method and Pakistan Social and Living Standards Measurement (PSLM) published by the Pakistan Bureau of Statistics data for 2018–19. To further complete the research, a binary logistic regression has been run to measure the effects of a deviation in income status on multidimensional poverty to see the impact of monetary income on non-monetary measures. Results show that the national global Multidimensional Poverty Index (MPI) is 0.24, meaning that multidimensionally poor people in Pakistan experience 24% of the total deprivations. The most deprived dimension of the three is education (44.7%), which needs special attention. Furthermore, if a household’s total annual income increases and becomes more significant than the mean income of the sample, the household’s probability of being multidimensionally poor will decrease. This implies that with the increase in average national income, the national poverty will reduce not only in absolute terms but also multidimensionally. This study’s findings have several implications for policymakers, and the results of the MPI should align the allocation of public sector resources calculated to give a geographical and sectoral image of the poverty situation, which will guide policy designs and allocation of budget and resources.

Developed countries have adopted the circular economy concept to solve environmental problems. This study underpins the paradox theory to investigate the circular economy’s implementation status in the ASEAN region through the circular economy index. The circular economy index disclosure data for top companies in the ASEAN region was collected through an automated content analysis approach using DICTION on the annual/sustainability reports. The findings show that most public companies from the ASEAN region disclose the circular economy indicators in their annual/sustainability reports. The environment-sensitive firms are disclosing the circular economy indicators actively compared to the non-environment sensitive companies. Based on the results, this study provides theoretical and practical implications. This study is also limited because it is based only on the ASEAN region. Future studies can underpin other theoretical support and provide a comparative analysis across the continents.

Purpose- This study aimed to analyse the challenges faced by the university teachers during the transition towards purely online-based classes due to Covid-19 outbreak in Pakistan. Design/ methodology- A qualitative research design was used by employing an interpretative phenomenological analysis approach to capture the experience of university teachers. Interviews were conducted with the participants selected through snowball sampling technique. Findings- The findings showed that the university teachers in Pakistan had to cope up with many challenges. The specific factors such as infrastructural problems, student’s behavioural issues and difficulties in the assessment of student’s performance indicate that physical classrooms are a more effective mode of learning than the online mode of learning. Originality/ value- This is among the first studies in addressing the online learning challenges faced by university teachers in Pakistan during Covid-19 outbreak.