Search results

This study assesses the capability of artificial intelligence integrated customer relationship management (AI-CRM) technology for sustaining family businesses in times of crisis, such as the COVID-19 pandemic. The study also investigates the moderating role of strategic intent in sustaining family businesses in times of crisis.

The authors used dynamic capability view theory and related literature on family business and technology adoption to develop a conceptual model. This model has been validated using the structural equation modeling technique considering 332 usable responses from people of India involved in family businesses and technology adoption. The study also uses multigroup analysis to examine the moderating role of strategic intent.

The study finds that adoption of AI-CRM technology significantly and positively impacts dynamic capabilities of the family businesses, such as sensing, seizing and transforming capabilities, which in turn positively and significantly influences their sustainability during crises. The study also highlights the significant moderating impact of strategic intent for sustaining family business firms in uncertain times.

This study has highlighted the importance for family businesses to adopt AI-CRM technology and its influence on their dynamic capabilities. The study also provides important inputs to the management of family businesses regarding adoption of new technologies and their significance during crises. The study also documents that strategic intent could help family businesses to survive during such times. The study is conducted in India and thus cannot be generalized.

This study table is unique in that it investigates the influence of AI-CRM technology and the moderating role of strategic intent on family business sustainability in times of crisis. Moreover, the proposed theoretical model is a unique model with explanative power of 71%.

Deepor Beel is one of the Ramsar Site and a wetland of great biodiversity, situated in the south-western part of Guwahati, Assam. With urban development at its forefront city of Guwahati, Deepor Beel is under constant threat. The study aims to calculate the lake water volume from the water surface area and the underwater terrain data using a triangulated irregular network (TIN) volume model.

The lake water surface boundaries for each year were combined with field-observed water level data to generate a description of the underwater terrain. Time series LANDSAT images of 2001, 2011 and 2019 were used to extract the modified normalized difference water index (MNDWI) in GIS domain.

The MNDWI was 0.462 in 2001 which reduced to 0.240 in 2019. This shows that the lake water storage capacity shrank in the last 2 decades. This leads to a major problem, i.e. the storage capacity of the lake has been declining gradually from 20.95 million m³ in 2001 to 16.73 million m³ in 2011 and further declined to 15.35 million m³ in 2019. The fast decline in lake water volume is a serious concern in the age of rapid urbanization of big cities like Guwahati.

None of the studies have been done previously to analyze the decline in the volume of Deepor Beel lake. Therefore, this study will provide useful insights in the water resource management and the conservation of Deepor Beel lake.

The pandemic has reinforced the need for revamping the healthcare service delivery systems around the world to meet the increased challenges of modern-day illnesses. The use of medical cyber–physical system (MCPS) in the healthcare is one of the means of transforming the landscape of the traditional healthcare service delivery system. The purpose of this study is to critically examine the impact of MCPS on the quality of healthcare service delivery.

This paper uses an evidence-based approach, the authors have conducted a systematic literature review to study the impact of MCPS on healthcare service delivery. Fifty-four articles were thematically examined to study the impact of MCPS on eight characteristics of the healthcare service delivery proposed by the world health organisation.

The study proposes support that MCPS will positively impact (1) comprehensiveness, (2) accessibility, (3) coverage, (4) continuity, (5) quality, (6) person-centredness, (7) coordination, (8) accountability and (9) efficiency dimension of the healthcare service delivery. The study further draws nine propositions to support the impact of MCPS on the healthcare service delivery.

This study can be used by stakeholders as a guide point while using MCPS in healthcare service delivery systems. Besides, healthcare managers can use this study to understand the performance of their healthcare system. This study can further be used for designing effective strategies for deploying MCPS to be effective and efficient in each of the dimensions of healthcare service delivery.

The previous studies have focussed on technology aspects of MCPS and none of them critically analysed the impact on healthcare service delivery. This is the first literature review carried out to understand the impact of MCPS on the nine dimensions of healthcare service delivery proposed by WHO. This study provides improved thematic awareness of the resulting body of knowledge, allowing the field of MCPS and healthcare service delivery to progress in a more informed and multidisciplinary manner.

Corruption and dishonesty in the political and bureaucratic realms have impeded the ability of local governments to provide services and social justice in Nepali society. In light of this, the purpose of this research is to answer the key research question: what are the possibilities and limitations of local government in implementing constitutionally guaranteed rights in order to transform local communities?

This study gathered qualitative data from 14 local governments in seven provinces. A total of 56 in-depth interviews were held with elected representatives, political parties, and government officials at both the national and local levels. Both open-ended and open-structured questionnaires were employed for the interviews.

The results indicate that capacity is a major constraint for local governments, which should be addressed to achieve successful local governance, inclusive citizen engagement, and strong technical, administrative and fiscal capabilities. Lack of local autonomy, political conflict and social class differences, external engagement, and conservative hierarchic government bureaucracy are major hurdles to growing capacity.

This paper analyses the capacity of newly restructured local governments through qualitative approach. It attempts to understand to what extent the Nepali local governments are capable in delivering the services at the local level as closest unit of the citizens.

The objective of the present study is to examine the impact of corporate characteristics on human resource disclosures in Indian corporate sector.

The study investigates the annual reports of 336 Indian listed companies of NSE-500 Index. The data are collected for the latest time period which contains eight years (FY 2012–13 to 2019–2020). The data of independent variables (company characteristics) have collected from annual reports and CMIE ProwessIQ Database of the Indian listed companies. The data of human resource dissclosure index (HRDI) is collected form annual reports using content analysis approach. For analysis purpose, descriptive statistics, Pearson's correlation matrix, Two-way Least Square Dummy Variable (LSDV) regression model have been used.

The outcomes show that net sales, market capitalisation, ROTA, return on equity, quick ratio, PAR have significant positive and age, profit after tax, current ratio have significant negative effect on HRDI. On the contrary, debt-equity ratio, earnings per share, type of auditor, listing status have insignificant positive and net fixed assets, promoter's holding have insignificant negative effect on HR disclosures of the selected Indian listed companies.

The HRDI constructed in the present study helps the Institute of Chartered Accountants of India (ICAI) and other regulatory bodies to make some standards regarding voluntary HR disclosure practices in Indian corporate sector.