Artificial intelligence (AI) technologies are used in healthcare to detect diseases faster, provide personalized treatment, automate some processes, and enhance hospital safety. Yet, one of the critical challenges is users’ hesitation and unwillingness to adopt technological applications in medical practice. Hence, this research aims to identify the important factors affecting professionals’ behavioural intentions to use AI in healthcare. This cross-sectional survey was conducted in Kerala, India. We proposed a framework grounded on the literature on technology acceptance theories, and the conceptual model was tested using a 20-item questionnaire with a 5-point Likert scale. The structured questionnaire was converted into a Google Form and shared with the respondents. A total of 347 respondents, including doctors, nurses, and allied healthcare professionals from 5 different private hospitals in India, participated in this study. The partial least square structural equation modelling approach was used to evaluate the proposed framework upon confirming the reliability and validity of the measurement items. The study findings reveal that perceived ease of use (PEU), perceived usefulness (PU), and facilitating conditions (FC) are the critical factors that influence the behavioural intentions (BI) of healthcare professionals to use AI. Though healthcare professionals perceived the risk of using AI, it did not affect their choice to use AI. This study gives an understanding of healthcare professionals’ behavioural intentions to use AI so that the administrators can plan and improve their strategies to implement AI in hospitals.

Mobile payment usage must be maintained for mobile wallet companies to survive. Long-term user relationships can assist businesses in lowering costs and increasing profitability to retain customers which ultimately will lead to continuance intention. Despite M-wallets' relative maturity, a study in this sector has been limited to first acceptance/rejection. No study has particularly evaluated the technology's post-adoption impacts. Existing studies mostly examine the initial adoption of mobile wallet users and their antecedents. Though many people use M-wallets regularly, consistency is rare. Thus, both academic researchers and practitioners must investigate mobile wallet users' continued usage behaviour. This research conducts a thorough evaluation of the systematic review of literature on M-wallet continuous usage intentions from 2011 to 2021. The authors of this study employed systematic review methods to analyse the current state of continuous usage of M-wallet research. They identified current research streams and offered ideas for future research. The review identified the Geographic representation of mobile wallet continuous usage research, methodological approaches to investigate continuous usage intention of m-wallets, and popular theories adopted to investigate continuance intention. Through research synthesis, predictors and moderators/mediators of mobile wallets were also identified. The authors then discovered various service quality characteristics that demonstrated how trust, flow, and satisfaction—which have primarily been studied—had a direct impact on behavioural intentions as a result of service quality. The authors recommend the direction of potential future research in mobile wallets. This paper is a systematic review of the continuance usage of mobile wallets based on the dimensions of service quality and is one of the very few papers to offer a systematic review of continuous usage.

Hospital buildings present substantial energy savings possibilities, especially in older buildings. Global warming and the international drive to reduce Carbon dioxide emissions have led hospital executive staff and facility managers to strive for reducing hospital energy usage through innovative technology and tools. Energy management in a hospital hence becomes a strategic area with a great potential for cost reduction through different energy saving measures. A descriptive observational study was done over a period of nine months to study the average consumption of electricity. The awareness of employees was assessed through an energy-awareness questionnaire, supplemented with walk-arounds and interviews. It was seen that at current consumption levels, carbon dioxide emission was substantial. Employee awareness on energy saving behaviours was high, but the practices observed left much to be desired, suggesting the need for an energy management plan. It is easier to obtain energy savings when the efforts are part of a structured program.

In recent years, an increased awareness of environmental challenges has encouraged customers and businesses to consider sustainability in their purchasing and operational decisions. The terms eco-f...

The rapid technological advancement is changing the landscape of higher education. The efficacy of technology has spurred higher educational institutions to transform their educational structures and modes of knowledge dissemination from process-focused to student-focused. Higher educational institutions are adopting new information and communication technological (ICT) tools to enhance teaching-learning process and student engagement. One such ICT tool which blends technology in the classrooms into educational experiences is the learning management system (LMS). The LMS usage by the higher education institutions facilitates the students for “anytime and anywhere access” to the contents. In this context this paper examines the acceptance of learning management system as a technological tool among students. And, examines the critical factors that effects the behavioral intentions of students towards LMS usage and factors influencing the actual usage of the LMS. The study also focuses on comparing the threemodelsof technology adoption, TAM, revised version of TAM and C-TAM-TPB. The comparative analysis of three models discloses that perceived ease of use and perceived behavioral control being an important exogenous variable in understanding the behavioral intention and actual usage. The study was conducted among the first year business management students of private deemed university.

Social entrepreneurship plays a crucial role in addressing social and environmental issues, but less is known about the psychological processes of social entrepreneurial intention (SEI), particularly in developing countries. Based on the Theory of Planned Behaviour and the social entrepreneurial intention framework, this paper examines the cognitive, moral, normative, and experiential predictors of SEI among higher education students. On a quantitative approach, a cross-sectional design was employed, and 349 postgraduate and undergraduate students participated in the study. Partial least squares structural equation modelling (PLS-SEM) was used to carry out the investigation. The results indicate that the strongest predictor of SEI is opportunity identification skill, and therefore, there is significance of the cognitive processes in the creation of intentions.SEI is positively affected by social entrepreneurial self-efficacy and subjective norms, with particular focus on the perceived capability and social approbation. SEI is not anticipated by empathy, moral obligation, sustainable principles, perceived social support, and prior experience. In general, the findings suggest that cognitive ability and perceived feasibility have a greater role than moral concern in the creation of sustainability-oriented social entrepreneurial objectives.