Ankit Rathee, Kuldip Singh Chhikara and Poonam Solanki
The study aims to identify the major challenges encountered by Indian exporters of agricultural products in the course of fulfilling export orders.
Abstract
Purpose
The study aims to identify the major challenges encountered by Indian exporters of agricultural products in the course of fulfilling export orders.
Design/methodology/approach
To achieve the objectives, a questionnaire and interview method are used to gather data from a randomly selected sample of 300 agri-exporters in Haryana, India. The study categorizes the various perceived constraints into problem variables or factors using factor analysis. Then, the aggregated scales are regressed against predictors, to validate the proposed hypotheses.
Findings
The results demonstrate that the broad challenges faced by agri-exporters of India are related to logistics, technological and quality assurance, financial, supply-chain bottlenecks and customs-related documentation. Furthermore, the findings confirm that the predictors have a significant effect on the identified constraints. Notably, the export experience emerged as the most influential variable contributing to overcome the challenges faced by Indian agri-exporters.
Research limitations/implications
The study’s exclusive focus on the exporter’s perspective limits a comprehensive understanding. Incorporating data from logistics providers, customs agents and financial institutions could offer a more holistic view of the challenges.
Originality/value
The study offers new insights and contributes to the existing knowledge base by presenting a comprehensive analysis of the challenges faced by exporters and modeling them.
Details
Keywords
Poonam Solanki and Kuldip Singh Chhikara
The study aims to discern the primary obstacles confronted by the implementing agencies in their efforts to foster financial inclusion through the “Pradhan Mantri MUDRA Yojana”…
Abstract
Purpose
The study aims to discern the primary obstacles confronted by the implementing agencies in their efforts to foster financial inclusion through the “Pradhan Mantri MUDRA Yojana” (PMMY).
Design/methodology/approach
To collect primary data, a semi-structured questionnaire was developed. Around 120 loan officers from the implementing agencies (Scheduled Commercial Banks (SCBs), Regional Rural Banks (RRBs), Small Finance Banks (SFBs), Non-Banking Financial Companies (NBFCs) and Micro- Finance Institutions (MFIs)) of Haryana were randomly selected to fulfill the objectives. To categorize the perceived problems into discrete factors, the “factor analysis” technique was employed. The scales were then regressed on factors linked to the demographic characteristics of the loan officers to validate the hypotheses.
Findings
The study highlighted the primary obstacles impeding the advancement of financial inclusion, which encompass a range of factors. These include challenges in management, infrastructure, politics, finance and technology. Furthermore, the study established the association of the explanatory variables, namely gender, age, educational qualification, location and experience of the officers, with the extracted constraints. Notably, the experience of loan officers emerged as the most influential variable contributing to the promotion of financial inclusion through the scheme.
Originality/value
The current body of literature lacks any empirical investigation focusing on the perspectives of the implementing agencies regarding the challenges they encounter in advancing FI. Given the significance of FI in India, where access to formal financial services remains a critical issue, this research adds value by addressing the gaps in understanding the problems encountered.
Peer review
The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0462
Details
Keywords
Jada Kameswari, Hemant Palivela, Sreekanth Settur and Poonam Solanki
Background: Human resource management (HRM) is the tactical method for a business enterprise’s optimistic and systemic administration. This study aims to identify the common and…
Abstract
Background: Human resource management (HRM) is the tactical method for a business enterprise’s optimistic and systemic administration. This study aims to identify the common and major triggering attributes and the knowledge gap between HRM and an organisation’s employee attrition rate.
Method: The employee Attrition Case Study Dataset used is an anecdotal data set that tries to figure out relevant variables that determine employee behavioural aspects towards attrition. This study investigates why attrition occurs, the major triggering attributes for employee turnover, and how it might be anticipated to employ artificial intelligence (AI) to avert corporate losses.
Results: Employees’ monthly income, age, average monthly hours, distance from home, total working years, years at the company, per cent of salary hike, number of companies worked, stock options level, job role and other factors are taken into consideration. A feature importance extraction framework was devised to investigate the various dormant factors. The findings also show feasible hypotheses that help enhance employee engagement, reinvent the worker dynamic, and higher levels of risk decrease attrition rate.
Implications: Employees’ monthly income, age, average monthly hours, distance from home, etc., are all major variables in employee attrition in the Indian IT business. This research adds to the theory development of behavioural elements in people analytics based on AI.
Purpose: Can we predict employee attrition through employee behavioural patterns advancement using AI tools.