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India’s steel sector has experienced high employee turnover in the last couple of years due to the complex business environment, such as market competition, technology up-gradation, changes in business process, and management practices. This study is first of its kind in Indian literature to address the influence of employee morale on turnover intention in the context of the Indian steel industry. The study uses statistical software packages such as SmartPLS 2.0 and IBM SPSS 20 to analyze and validate the conceptual framework. Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) were used to evaluate the model with a sample size of 386 male employees of steel firms in Chhattisgarh state, the central part of India. The study makes a twofold contribution. First, it explores the influential morale factors that explain employee turnover and measure the extent of its influence on employee turnover intention. Second, it suggests that steel firms should support their human resources either in the form of management, supervisor and co-worker support or through offering material reward and career development opportunities or reducing workload by assigning appropriate task that enhances employee morale and reduces their turnover intention within the firms.

The present study focuses on consumer behaviour towards decision-making about residential photovoltaic (PV) technology and motivates them to adopt renewable energy sources in place of conventional resources. The study focuses on the six significant factors of customer attribute related to environmental concern which stimulate the purchase behaviour to adopt residential PV technology. Therefore, the study considers various factors of environmental concerns, retrieved from a previous literature review by the researchers. For obtaining the results, structural equation modelling (SEM) has been utilized to examine the 269 customers’ data, collected by the researchers. The result indicates that the environmental concern factors such as social influence, environmental attitude, environmental knowledge, environmental responsibility and government initiative have significant positive influence on customer intention to adopt residential PV technology. However, the factor awareness of environmental problem shows insignificant influence on intention to adopt. Thus, the outcome of the study will provide some valuable insights to the policymakers, marketers and government for further expansion of solar energy market by using various promotional programmes and strategies, consciousness and sharing responsibility towards saving our environment from detrimental effects of conventional energy resources.

Impulse buying occurs when a consumer perceives an impulsive and persuasive stimulus to buy something immediately. The main objective of this study is to figure out the relationship between consumer trait and impulse buying. The studied constructs were refined and validated by exploratory factor analysis and confirmatory factor analysis. Using SmartPLS 2.0 statistical software, responses from 267 consumers of central India in the proposed research framework were analysed and measured. Resulted findings for the constructs, impulse buying tendency, interpersonal influence, emotional attachment and materialism show significant positive relationship with impulsive buying, whereas, the construct shopping enjoyment tendency having significant relationship, showed negative effects. The study findings also support the past research efforts in this field by validating through the results, especially by considering the significant relationship between consumer traits and impulse buying for the first time in central India. Thus, the study presents useful insights to marketers and academicians regarding the buying behaviour of Indian consumers in a still developing retail sector.

This study is first of its kind to investigate the influence of leadership style on employee trust, employee morale and employee emotion in the context of steel industry. This set of three employee outcomes is studied in a conceptual framework comprising of a seven-month study, with a sample of 272 workers of steel firms in Chhattisgarh state, the central part of India. SmartPLS 2.0 is used to perform confirmatory factor analysis and structural equation modelling to analyse and validate the conceptual framework. The study makes a twofold contribution. First, it finds that transactional leadership style has a negative influence on employee outcomes. Second, it suggests that managers of steel firms use transformational leadership style to enhance employee outcomes. This study reveals that the outcome of a steel firm’s employee is aligned better with transformational leadership style, rather than the transactional leadership style.

Purpose With the growing acceptance of organised retail in Central India, it is important to understand the impulse buying phenomenon and how it is influenced by consumer traits and situational factors. The purpose of this paper is to examine the combined effect of three consumer traits and four situational factors on impulsive buying. Design/methodology/approach Using confirmatory factor analysis and structural equation modelling (SmartPLS 2.0 software), responses from 417 hypermarket and supermarket consumers of Central India in the proposed research framework were analysed and validated. Findings The resulted values for the construct impulse buying tendency, shopping enjoyment tendency, materialism, person’s situation, motivational activities by retailers and product attributes show positive significant influences, whereas the construct store environment having relationship with impulse buying shows negative influence. Importantly, the findings also demonstrate that the gender moderates the relationship between various factors of consumer traits and situational factors with impulse buying. Research limitations/implications The study develops a research framework with three specific variables of consumer traits and four variables of situational factors, triggers impulse buying. Therefore, there is a need to incorporate some other variables, such as interpersonal influence, consumer involvement and consumption patterns, so that more affluent insights can be obtained. The study presents useful insights to retailers, academicians and researchers, regarding impulse buying behaviour of Indian consumers in a still developing organised retail sector in Central India. Originality/value The study focussed on the combined effect of consumer traits and situational factors on impulse buying for the first time in Central India, as earlier studies focussed on impulse buying behaviour at the USA and metro cities of India.

The organizations negotiate a more dynamic and competitive business environment, strategic utilization of Human Resource Analytics (HRA) has emerged as a vital component impacting organizational agility and operational performance. This research uses the Technological-Organizational-Individual-Environmental (TOIE) model to analyze the factors that influence HRA adoption and its subsequent effects on organizational dynamics. The study collected data from 678 HR manager’s responses from different organizations in India. The data were analyzed utilizing smart pls 4.0 to perform Partial Least Squares Structural Equation Modelling (PLS-SEM). The study found that cloud-based systems, job search engines, Internet of Things (IoT) devices, information systems, team creation, actionable insights, sustainable talent acquisition, performance evaluation, storytelling ability, and competitiveness have a significant impact on HRA adoption. Furthermore, the study shows that HRA adoption has a positive impact on organizational agility and operational performance. Understanding the TOIE model of the study holds implications for academia, practitioners, and organizational leaders seeking to leverage HR analytics for strategic advantage in a quickly evolving business landscape.

This study is the first of its kind to investigate the influence of management practices (i.e. business, people, relational, and cultural) on employee morale in the context of steel industry. This set of four management practices is studied in a conceptual framework comprising with a sample of 126 workers of steel firms in Chhattisgarh State, the central part of India. SmartPLS 2.0 is used to perform Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) to analyze and validate the conceptual framework. The study makes a twofold contribution. First, it finds that business practices have a negative influence on employee morale. Second, it suggests that managers of steel firms use people, relational, and cultural practices to enhance employee morale. This study reveals that the morale of a steel firm's employee is aligned better with people, relational, and cultural practices, rather than the business practices.

This paper explores the impact of advanced technologies on the adoption of human resource (HR) analytics in organizations, with a particular focus on the Indian context. Despite the growing importance of HR analytics for data-driven decision making, many organizations struggle to integrate these tools effectively. This paper addresses the problem of understanding how exponential technologies, such as chatbots, big data, machine learning (ML), artificial intelligence (AI), neural fuzzy networks and social media networks, can facilitate HR analytics adoption. Data collected from 669 HR managers were analyzed using partial least squares-structural equation modeling (PLS-SEM) with SmartPLS 4.0 to validate the research model. The findings reveal that these technologies significantly enhance the adoption of HR analytics, offering practical insights for HR practitioners and organizations seeking to leverage digital tools for competitive advantage. The uniqueness of the study lies in its comprehensive examination of the role of exponential technologies in overcoming the barriers to HR analytics adoption, making it a valuable addition to the existing literature.