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Title: A SWOT Analysis on Service Quality and Hospitality in Star Hotels from an Indian Market Perspective

Abstract: Previous studies explain lots of insights on hotel management in terms of service quality, challenges, issues, and problems faced in the inns. However, there is a gap in bridging the strengths, weaknesses, opportunities, and threats of hotels common faces. This study addressed the gap by approaching the customer-centric viewpoint. The study looks to ascertain the strengths (S), weaknesses (W), opportunities (O), and threats (T) of the hotel management from a customer perspective and to find the connection among the hotel facilities and frequency of customer visits for staying. The results enlighten that there is significance between the hotel amenities, price affordability, and frequency of the visit of customers. Therefore, amenities consistently give guests a comfortable space to remain longer and foster a positive perception of the hotel. The research's results are restricted to the study region; they may vary over time and between regions. From a competitive perspective, service quality contributes to the hotels by increasing their strengths and opportunities and decreasing weaknesses and threats.

By M. Shanthi, R. Ganapathi
In Volume: 14,Issue: 1
Title: A Study on the Trend Analysis of India’s Trade Relations with SAFTA Nations: A Review

Abstract: Countries participating in a regional trading arrangement (RTA) are typically heterogeneous, as evidenced by their variations in geographic size, population, gross national product (GNP), economic systems—reflected in the various types of commodities and services manufactured when traded — and the policy instruments employed through monetary, financial, and trade-related measures that affect national production and trade activities. The diverse attributes of the South Asian Free Trade Area (SAFTA) members significantly impact their benefits from a Regional Trade Agreement (RTA). The South Asian nations within the SAFTA distinctly illustrate their intrinsic disparities while also highlighting an unsettling situation about the inequitable distribution of prospective benefits from through regional collaboration initiative. Although the members of SAFTA members have low-income and the nations are developing, among these —Bhutan, Bangladesh, Nepal and Maldives, —are classified as least developed countries (LDCs) due to many significant challenges that impede their business expansion and development. Thus, the extent to which these issues may impact the SAFTA agreement and the measures India must implement is a crucial inquiry, which serves as the primary purpose of this article. This research also considers the influence among the SAARC members. Analysis of data from several pertinent sources covering the period from 2016-17 to 2022-23 reveals that commerce among SAFTA members has not expanded as considerably as anticipated. The statistical analysis conducted validates the suspicions of numerous scholars, indicating that the SAFTA countries are not genuine trading partners; instead, they frequently compete by exporting identical product categories. Given that this context renders significant growth in mutual trade improbable, the paper finishes with views on enhancing India's regional commerce.

By Manish Upretya, Pankaj Kumar Shah
In Volume: 14,Issue: 1
Title: Artificial Intelligence and Employment Shifts in India’s E-Commerce Sector: A Sectoral Post-Covid Analysis

Abstract: The COVID-19 pandemic accelerated digital adoption across sectors, rapidly restructuring Indian e-commerce. AI is a critical enabler of operational efficiency-from planning supply chains to automating customer support. The study attempts to understand post-COVID transformations in AI-related employment trends in various e-commerce subsectors in India. While AI threatens entry-level, routine applications, it creates a demand for professional jobs further involving AI development, data science, and digital operations. The study, thus, employs mixed methods, using secondary data sets and qualitative case studies, to comprehend the sectoral landscape of AI impacts on employment. It attempts to understand the potentials and challenges of AI, drawing on assessment of its socio-economic impact so as to arrive at recommendations on reskilling policies and inclusive employment strategies.

By S.K.S. Yadav, Samreen Khan
In Volume: 14,Issue: 1
Title: Workplace Diversity and Inclusion: The Role of Organizational Culture

Abstract: Workplace diversity and inclusion (D&I) have become critical drivers of innovation, employee well-being, and organizational performance. The success of D&I efforts, however, depends significantly on the dominant organizational culture, which influences employee attitudes, behaviors, and inclusivity-related policies. This research explores the complex relationship between organizational culture and workplace diversity and inclusion, investigating how cultural values, leadership, and HR policies affect the success of diversity efforts. Based on a comprehensive literature review, case studies, and empirical studies, this research emphasizes the most important aspects of an inclusive organizational culture, including leadership commitment, psychological safety, fair hiring practices, and open communication. It also examines typical obstacles to inclusivity, such as unconscious biases, resistance to change, and structural disparities in organizations. The study also examines the contribution of transformational leadership and corporate social responsibility (CSR) in fostering a positive cultural change towards inclusivity. Findings indicate that organizations with a robust, inclusive culture have more engaged employees, better team collaboration, and better organizational reputation. In contrast, firms that do not embed diversity and inclusion into their cultural narrative stand to see greater turnover, intra-workplace conflict, and diminished innovation. The research concludes by offering strategic recommendations to organizations on how to create and maintain a culture that proactively supports diversity and inclusion through leadership commitment, customized training programs, and inclusive policy making.

By Kajol Morya, K.R. Jain
In Volume: 14,Issue: 1
Title: Ethical AI Integration and the Future of Employee Rights at Work

Abstract: Artificial Intelligence (AI) has become increasingly central to both economic progress and modern business practices. While much public discussion has centered on the societal and ethical dimensions of AI—particularly in relation to data privacy and human rights—there has been comparatively less attention on how AI is transforming traditional workplace dynamics, especially in the area of occupational health and safety. Although concerns about human rights and gig economy conditions are well-documented, the potential implications of AI for day-to-day worker safety remain underexplored. This paper seeks to fill that gap by introducing a conceptual framework for an AI Work Health and Safety (WHS) Scorecard. This tool is designed to help identify and manage workplace risks linked to AI deployment. Drawing from a qualitative, practice-oriented research project involving organizations actively implementing AI, the study outlines a set of health and safety risks derived from aligning Australia’s AI Ethics Principles and Principles of Good Work Design with the AI Canvas—a tool traditionally used to evaluate AI’s commercial value. The study’s key innovation lies in a newly developed matrix that maps known and anticipated WHS and ethical risks across each stage of AI adoption, offering a structured approach to evaluating AI’s workplace impact.

By Kanika Maheshwari
In Volume: 14,Issue: 1
Title: Artificial Intelligence and Employment Shifts in India’s E-Commerce Sector: A Sectoral Post-Covid Analysis

Abstract: The COVID-19 pandemic accelerated digital adoption across sectors, rapidly restructuring Indian e-commerce. AI is a critical enabler of operational efficiency-from planning supply chains to automating customer support. The study attempts to understand post-COVID transformations in AI-related employment trends in various e-commerce subsectors in India. While AI threatens entry-level, routine applications, it creates a demand for professional jobs further involving AI development, data science, and digital operations. The study, thus, employs mixed methods, using secondary data sets and qualitative case studies, to comprehend the sectoral landscape of AI impacts on employment. It attempts to understand the potentials and challenges of AI, drawing on assessment of its socio-economic impact so as to arrive at recommendations on reskilling policies and inclusive employment strategies.

By S.K.S. Yadav, Samreen Khan
In Volume: 14,Issue: 1