Jindal Management Journal

This study aims to investigate the antecedents of patient satisfaction in healthcare organizations, particularly in the context of a developing nation, India. A conceptual model is developed to test the relationship between five types of healthcare services—doctor, nurse, supportive, auxiliary, and technical—on patient satisfaction. The moderating effect of administrative services in influencing patient satisfaction is also examined. In this cross-sectional research, a survey instrument was developed, and data were collected from 628 patients from super-specialty hospitals in Tiruchirappalli (from the southern state of Tamil Nadu, India). First, we checked the measurement properties of the survey instrument by using structural equation modeling with Lisrel software. We performed hierarchical regression to test the hypothesized relationships. The findings indicate that (a) doctor services, (b) nurse services, (c) supportive services, and (d) technical services are significantly and positively associated with patient satisfaction. The results also showed that administrative services moderate the relationship between (a) doctor services, (b) auxiliary services, and (c) technical services and patient satisfaction. This research underscores the importance of administrative services and provides valuable insights to administrators and policymakers about the antecedents to patient satisfaction. The conceptual model significantly contributes to advancing theory in the healthcare industry.

International migration plays a vital role in attracting foreign direct investment to their respective host countries and channeling remittances to their home country. Remittances from the diaspora contribute to the circular flow of money in the economy and increase aggregate demand along with economic growth. The present study examines the role of the Indian diaspora in the growth of outward foreign direct investment (OFDI) to the host countries and the contribution of international remittances to the economic growth of home country, that is, India. The study developed two models, first, considering Indian OFDI and the role of the diaspora and bilateral investment treaties covering 35 OECD host countries. Using FMOLS regression, a positive and significant impact of diaspora and bilateral investment treaties is found on OFDI growth in India. Moreover, in the second model, the study found that the international remittances sent by the diaspora to their home country are contributing to the economic growth of India. The study recommends that active policymakers in India should deliberate on the effective management of international migration and develop initiatives for strengthening the social networks between India and the host countries.

Social enterprises are gaining increased attention from both scholars and practitioners due to their unique ability to pursue profit alongside their social missions. However, maintaining a balance between these two objectives requires innovation for sustainability. This entails employing various forms of innovation, such as open innovation, eco-innovation, green innovation, and social innovation (SI), to address potential conflicts between financial and social priorities. This study aims to investigate the innovation practices for sustainability adopted by social enterprises and understand how these innovation capabilities operate within organizations. The data were collected from 97 for-profit social enterprises in Coimbatore city using a purposive sampling method. Utilizing the partial least squares approach for data analysis, the research findings underscore the crucial role of SI in achieving business sustainability. Additionally, the study confirms the significant impact of eco-innovation on business sustainability. These results emphasize the significance of innovation capabilities in enabling social entrepreneurs to sustain their businesses and enhance their competitive edge, thereby benefiting policymakers, business support organizations, and aspiring social entrepreneurs. This study contributes to the existing literature by offering empirical insights into sustainability innovation within the context of social enterprises, an area that has received limited attention in previous studies.

This study examines the impact of microfinance and “plus” services on the entrepreneurial potential development (EPD) of rural women entrepreneurs. It particularly investigates how access to financial services and complementary nonfinancial services, such as financial literacy, skill development, business trainings, and social services, affect five key EPD dimensions: risk-propensity, entrepreneurial motivation, management competencies psychological competencies, and social competencies. A quantitative research design was adopted, using survey data from women clients of microfinance institutions (MFIs) and self-help groups. Structural equation modeling through SmartPLS 4.0 software was used to test the hypothesis. Results indicate that while microfinance services significantly influence EPD, business development services (BDS) were also found to have a significant impact. These findings highlight the need for more emphasis on designing capacity-building programs that are better aligned with the particular needs and realities of rural women entrepreneurs, offering actionable guidance for MFIs and policymakers to enhance their entrepreneurial capacity not just through finance but also through holistic capacity development in the rural context. Moreover, the study contributes to the extant literature by offering an integrated psychological and functional perspective on women’s entrepreneurship development through microfinance.

Modern technical breakthroughs are causing many electronic items to be discarded after only a brief period of use. Because of this, it turns into an environmental issue that contributes to the accumulation of electronic garbage or “e-waste.” Consequently, promoting the use of second-hand electronic devices is necessary because of the detrimental effects that e-waste has on the environment and human health. This study revisited the theory of planned behavior framework to examine how variables such as status consciousness, moral obligation, and product availability affect customers’ intention to buy second-hand premium smartphone electronics such as Apple, Samsung, and Huawei. People’s attitudes toward purchasing second-hand gadgets and their feelings of social and ethical duty are shaped by their status consciousness and moral obligation, which are seen to be important drivers of behavioral and normative beliefs. Product availability reflects consumers’ opinions about how easy or difficult it is to obtain used electronics, making it a control-related aspect. The survey has 248 respondents from Delhi, and Smart PLS 4 was used to test the associations. The study demonstrates that consumer intention to buy a second-hand premium smartphone is positively impacted by status consciousness, moral obligation, and product availability. Also, media exposure positively moderates the association between status consciousness and intention to buy second-hand electronics. The results give policymakers and marketers important information about what drives consumers to purchase second-hand electronic devices. These results provide important insights for marketers and regulators in developing strategies that promote sustainable consumption by highlighting the psychological and value-driven elements that greatly impact customers’ decisions to buy used items.

This study examines the adoption of AI-based services in the banking, financial services, and insurance (BFSI) sector, focusing on challenges in customer co-production processes. Existing literature indicates that while AI offers competitive advantages in quality, service, and cost, adoption remains hindered by customer perceptions and engagement. The present study explores how customer perceptions and engagement influence the functionality of AI and, hence, its overall adoption. In order to meet the objective, the study adopted a cross-sectional descriptive research design where a survey of 400 customers was conducted across Tier-1 (Bengaluru) and Tier-2 (Gurugram) cities. Both of them are renowned as IT hubs in India, and therefore, serve as trendsetters in shaping the perceptual trend for the adoption of innovative technology across India. The path analysis highlights the significance of customer traits—self-efficacy, self-consciousness, and need for interaction—along with platform functionality, specifically perceived usefulness, in enhancing customer engagement and driving AI adoption. The findings provide strategic insights for businesses and researchers by defining the nuances of alignment aimed at optimizing AI-driven services adoption.