Shanlax International Journal of Management

Analyzing the Impact of Executive Excess Compensation on Organizational Technological Innovation: Evidence from Bangladesh Pharmaceuticals & Chemicals Industry

Sumaiya Islam, Md. Abdur Rahim, Maksuda Akter Rito, Sara Islam Mim, Rahat Rahman — Tue, 01 Oct 2024 13:48:53 +0000

This study analysing the impact of executive excess compensation (EEC) that is influencing the quality and efficiency of Organizational Technological Innovation (OTI). Using the Agency Theory, the Resource-Based View (RBV) and Upper Echelons Theory perspective in this study, the study has identified the compatibility of Executive Excess Compensation (EEC) with Organizational Technological Innovation (OTI) and then it has focused on investigation of the relationship between Executive Excess Compensation (EEC) with Organizational Technological Innovation (OTI) and for this quantitative analysis has been done by the usage of a structural equation modelling (SEM) approach by the usage of SmartPLS software. The findings regarding the compatibility of EEC with OTI suggest even a strong alignment between the executive compensation levels and the organization’s innovation capabilities. This indicates that companies offering the executive excess compensation which tend to demonstrate greater innovation efforts that is potentially driven by incentives linked to the compensation structures. Further, the analysis has revealed that higher levels of EEC were consistently associated with the overall greater technological innovation efficiency and to the technological innovation quality which is indicating on a robust relationship between executive pay and innovation performance. The results of this study ultimately provide empirical support for the notion that executive compensation plays a crucial role in case of driving innovation initiatives within organizations which is particularly in the pharmaceutical and chemical sectors of Bangladesh. The findings of the study can give insights for researchers, industry practitioners, policymakers, investors and for academics. However, the study is with some limitation and by acknowledging that further research is definitely needed to explore on the potential areas of improvement on this untapped or unique field.

Empirical Study on Delays in Highway Projects: A Comparative Analysis of Small and Large Projects

Modish Kumar, Santosh Kumari — Tue, 01 Oct 2024 13:57:10 +0000

Delays in National Highway projects, regardless of their geographical location, have exerted a substantial impact on project performance and yielded unfavourable economic consequences. The majority of these projects in India are implemented by Public-Private Partnerships (PPPs), which use a wide range of contract types, including traditional ones such as item rate contracts and bills of quantity, in addition to more modern alternatives such as build operate transfer, engineering procurement and transfer, and recently developed hybrid models. This study examines and compares the reasons of critical delays in national highway projects in Himachal Pradesh with project characteristics. This mixed-methods study gathered comprehensive data from project participants using qualitative analysis and a survey questionnaire. Interviews and document analysis identified delay factors, which were then assessed through a structured questionnaire distributed to a representative sample of project participants. The findings highlight critical delay factors in National Highway projects in Himachal Pradesh and offer insights into the unique challenges faced by large PPP projects and small traditional projects. Despite the small sample size of 134 survey responses, the findings are significant but may have limited applicability to other infrastructure projects due to socio-economic and geographic variations. This suggests a research gap indicating that further analysis is needed to understand the challenges in EPC and PPPs for large hilly road projects, along with a focused study on organizational culture to assess highway project performance. This study contributes empirical data to the literature about the steep National Highway projects in Himachal Pradesh. Policymakers, project specialists, and stakeholders may ascertain the reasons of delays and formulate targeted actions to enhance project efficiency.

Innovative Solutions for Sustainable Logistics in Food Manufacturing Industries overcome Barriers and Challenges

A Anisha, K Chandrasekar — Tue, 01 Oct 2024 14:26:25 +0000

This paper explores innovative solutions for sustainable logistics in the food manufacturing industry, focusing on how these strategies address key challenges. It examines how advancements in technology, logistics strategies, and eco-friendly practices contribute to sustainability while maintaining efficiency and profitability. The study analyzes data from companies that have adopted modern logistics solutions, such as AI-driven optimization, renewable energy, and circular supply chain models, supplemented by expert interviews to gain practical insights. The findings reveal that these solutions help reduce carbon emissions, minimize food waste, and optimize resource use. Companies that have implemented these strategies have successfully overcome common barriers such as high costs, infrastructure complexity, and regulatory challenges. While the research focuses on large-scale manufacturers, smaller companies remain under explored, suggesting the need for future studies on scalability and policy frameworks to support wider adoption. This paper offers a unique contribution by combining current innovations in sustainable logistics with practical industry challenges, providing actionable insights for food manufacturers and laying the foundation for further research into overcoming financial and technological barriers.

Green Finance: Reduce, Reuse & Recycle Strategy for the Environment

K H Akhila, G Nedumaran — Tue, 01 Oct 2024 00:00:00 +0000

Green finance has emerged as a pivotal strategy in addressing environmental challenges and promoting sustainability in the banking sector. This study explores the role of green financial forecasting with a focus on the ‘Reduce, Reuse, and Recycle’ (RRR) strategy, specifically emphasizing the Reduce component. Utilizing a correlation matrix and regression analysis, the research examines the relationship between green banking initiatives and key variables like the use of ATMs and checking balances, to assess the impact of reducing environmental footprints on financial outcomes. Findings reveal a strong positive correlation between green banking practices and financial sustainability, highlighting the importance of integrating eco-friendly strategies within banking operations. Additionally, the study introduces the FAIR Model—a comprehensive framework for implementing sustainable banking practices—demonstrating its applicability in fostering green banking in India. The paper also outlines avenues for further development of green banks in India, emphasizing the need for innovation in infrastructure, energy efficiency, and the role of green financial products. The insights drawn from this research provide valuable guidance for policymakers, financial institutions, and investors aiming to align financial strategies with environmental sustainability.

Implementation of Artificial Intelligence on Personnel Management in a Dynamic Society

Edwin Ihechituru Edwin, Chibuike Chris Ogbonna Ugwu, Ilo Kingsley Obumnaeme — Tue, 01 Oct 2024 00:00:00 +0000

The bedrock of this study is Implementation of Artificial Intelligence (AI) on Personnel Management in a Dynamic Society.. The rapid development and advancement of the digital environment, the increase in computing power, the processing of huge amounts of data and advanced algorithms have not only made AI exceptional and indispensable, but also emerged as a key tool in talent management. Methodologically, the study used secondary data collection sources such as textbooks, magazines, newspapers, journals, and periodical reports. The study found, among other things, that the development of AI leads to errors caused by machines due to programming errors and persistence of discrimination/preferential treatment in recruitment. Therefore, AI is not able to recognize corporate culture and values when evaluating applicants. The paper recommends that companies should focus on updating and training their current employees to avoid job losses due to the emergence of AI and adapt to the current framework conditions, etc. Thus, the paper concludes that the increasing use of AI will have a social and economic impact in this millennium, as it aims at digitalization and development by utilizing AI-inspired decision-making and integrating advanced information systems into multidimensional areas of activity, with a significant impact on various sectors around the world.