Nolegein - Journal of Organizational Behavior and Management

Assessing Productivity Outcomes in Remote and Hybrid Work Environment

Shivani Agrawal — Sat, 21 Mar 2026 00:00:00 +0000

In the third decade of the twenty-first century, remote work – particularly work from home – has become a widely adopted employment model across industries, driven by digital advancements and the demand for flexible work arrangements. This study examines the qualitative impact of remote and flexible work practices on employee well-being and productivity. The research focuses on four key dimensions: work– life balance, social interaction, perceived control over work, and access to organizational resources. Using a qualitative analytical approach, the study finds that voluntary remote work can enhance productivity by reducing commuting time, increasing autonomy, and improving flexibility in task management. However, the findings also reveal challenges associated with remote work, including social isolation, increased stress, and blurred boundaries between professional and personal life. Additionally, disparities in access to technological and organizational resources may influence employees’ remote work experiences. The study offers valuable insights for organizations seeking to implement sustainable work arrangements that balance flexibility with productivity while supporting employee well-being. It contributes to the growing body of literature on contemporary work practices and provides practical implications for organizational policy and human resource management.

A Study on the Role of Leadership in Fostering Innovation

Raju Karshan Amar — Tue, 17 Feb 2026 00:00:00 +0000

In order to promote innovation and drive organizational growth and competitiveness, leadership must establish a culture of psychological safety, empowerment, and strategic vision. It also acts as a catalyst for creativity by rewarding new ideas, encouraging risk-taking, providing resources, and removing barriers. In order to ensure that innovation. becomes ingrained in daily operations rather than merely an occasional occurrence, effective leaders encourage experimentation, support a variety of viewpoints, and create frameworks for learning and development. There are many specific key leadership actions required to foster innovation, including empowerment and teamwork, clear goals, a safe work environment, collaboration, diversity, rewards, necessary updated technology, new ideas, etc. The study investigates how several leadership philosophies—autocratic, democratic, laissez-faire, transformational, and transactional—affect important organizational results. Organizational innovation has been found to be influenced by a wide range of factors. The leadership style of senior managers has been found to be among the most, if not the most, significant of these. Through a thorough analysis of the body of current literature, the paper develops a theoretical framework and a conceptual understanding of leadership styles. It highlights the important influence of leadership on society and the education sector by stressing moral behaviour and social responsibility. It promotes further research to offer practical insights that enhance the efficacy of leadership. Organizations with low-control, high-support, or high-risk-aversion cultures are most affected by organizational encouragement. While crucial in every area examined, work group support is less effective than organizational or demanding work encouragement. Managers can utilize this information to promote more successful innovation within the specific cultural features of an organization. This study offers important insights for leaders, managers, and organizations looking to harness the power of innovation for sustainable growth and competitiveness in today’s dynamic business landscape by emphasizing the significance of organizational support and leadership traits in fostering an environment that encourages and sustains innovation efforts. Furthermore, our research indicates that when there is a high team atmosphere for creativity, the mediated effect of leader identity is strongest.

Customer Experience Management as a Competitive Advantage in Service Industries: A Study with Reference to the Retail Sector

Shivanshu Kumar — Tue, 24 Mar 2026 00:00:00 +0000

Customer Experience Management (CEM) has increasingly become a pivotal source of competitive advantage in service industries, particularly in the retail sector, where product differentiation is minimal and price-based competition is easily replicable. In such an environment, the overall experience perceived by customers across multiple touchpoints plays a decisive role in shaping brand preference, loyalty, and long-term profitability. This empirical study examines the role of Customer Experience Management as a strategic tool for gaining and sustaining competitive advantage, with specific reference to the retail sector in the Delhi-NCR region. The study conceptualizes customer experience as a multidimensional construct encompassing functional, emotional, sensory, and relational elements. Key dimensions analyzed include personalization of services, emotional engagement with the brand, service consistency, employee responsiveness, store ambiance, and post-purchase support. The research aims to assess how these dimensions collectively influence customer satisfaction, loyalty, and repurchase intention in a highly competitive retail environment. A structured questionnaire was administered to 210 retail customers selected through convenience sampling from shopping malls and standalone retail outlets across Delhi- NCR. The data were analyzed using descriptive statistics to understand customer perceptions, followed by correlation analysis to identify relationships between CEM variables and customer loyalty. Simple regression analysis was employed to measure the impact of Customer Experience Management on repurchase intention and overall customer retention. The findings indicate a strong and positive relationship between effective Customer Experience Management and customer loyalty. Personalization and emotional connection emerged as the most influential dimensions, suggesting that customers value tailored interactions and meaningful engagement beyond transitional exchanges. Service consistency and employee behavior were also found to significantly affect customer trust and satisfaction. The regression results confirm that CEM has a statistically significant impact on repurchase intention, highlighting its role in driving sustainable competitive advantage in the retail sector. The study concludes that deliberate and systematic management of customer experience is no longer optional but essential for retail organizations operating in the service economy. Retailers that invest in understanding customer journeys, training employees, leveraging technology for personalization, and maintaining consistent service standards are more likely to achieve differentiation, customer advocacy, and long-term competitiveness. The research offers practical insights for retail managers and contributes to the growing body of literature emphasizing experience-centric strategies in service industries.

Investigating The Role of Trust and Behavioral Barriers in Shaping Investor’s Decision to Delegate Portfolio Management to AI-Driven Robo-Advisors

Nasika Lakshmi — Wed, 18 Feb 2026 00:00:00 +0000

AI-based Robo-advisors have emerged at a striking pace across the Indian financial landscape, with disciplined, low-cost investment management options increasingly becoming accessible to a diverse retail investor market. Yet the decision to relinquish portfolio management to these algorithms is one substantial psychological hurdle that many still face. This paper aims to assess the role of trust dimensions and behavioral obstacles in adopting Robo-advisory services among Indian investors. Using secondary data from market research reports, academic papers, and fintech analyses, this paper outlines an important distinction in how trust dimensions impact adoption among the Indian investor population. Many factors become significant – three trust dimensions of algorithmic performance assessment, privacy reassurance and communication dissimilarity stand out, as well as three behavioral biases of algorithm aversion, loss aversion, and socio-emotional attachment. In this instance, algorithmic aversion refers to a distaste for Robo-advisor services despite evidence supporting the potential advantages of algorithmic performance over human-driven performance. Additionally, loss aversion means the risks of making financial sacrifices to an algorithm are more tangible than making sacrifices to a human endeavor. Finally, socio-emotional attachment refers to India’s reliance on interpersonal investment services and the challenge of overcoming such in-built historical behavior. Ultimately, this paper argues that potential Robo-advisory providers must adopt strategies that build trust to reach the average Indian investor beyond efficiency concerns. They must be demystified, privacy policies made more robust, and a hybrid approach that combines all benefits with easy-to-access human support might be best for a cultural image. Ultimately, this paper sets the foundation for understanding new markets regarding adoption and provides valuable insights for fintech startups and stakeholders seeking meaningful implementation to bridge the trust gap.

AI-Powered Talent Intelligence and Leadership: Empirical Insights from Smart Enterprises

Amena Muhammed Ali — Sat, 04 Apr 2026 00:00:00 +0000

This empirical study explores the transformative role of AI-powered talent intelligence in shaping leadership effectiveness within smart enterprises. As organizations increasingly adopt advanced artificial intelligence tools – including cognitive, generative, and sentient AI – leaders are empowered to make data-driven, predictive, and adaptive decisions that directly influence workforce performance, engagement, and organizational agility. The study investigates how AI-enabled insights into employee skills, performance trends, and sentiment data inform leadership practices, enhance decision-making quality, and support strategic alignment with organizational objectives. Using a mixed-method approach, data were collected from HR managers, team leaders, and employees across multiple smart enterprises to examine the relationship between AI-powered talent intelligence and leadership outcomes. The findings reveal that leaders leveraging AI tools can anticipate workforce challenges, customize development programs, and respond proactively to employee needs, resulting in improved team performance, higher engagement, and greater organizational adaptability. Moreover, the study identifies critical challenges associated with AI adoption, including ethical considerations, data privacy, and technology integration barriers, emphasizing the need for comprehensive change management strategies. By providing empirical evidence on the impact of AI-driven talent intelligence on leadership effectiveness, this research contributes to both theory and practice, offering actionable insights for organizations aiming to enhance leadership capabilities, optimize human capital, and sustain competitive advantage in the era of smart enterprises. The study also highlights future research directions to further explore AI integration in HR and leadership across diverse organizational contexts.