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This present three-wave longitudinal study aims to elucidate underlying mechanism in high-performance work practices (HPWPs) and job performance relationship by examining the role of person–job as a potential mediator.

Data were collected from 357 faculty members of universities in Punjab (India) using a well-structured questionnaire for four consecutive months. Hypotheses were tested using PLS-SEM software.

This study results substantiated HPWPs have a direct favorable impact on the person–job fit because their extensive engagement policies, such as employee empowerment and rewards, help employees to perceive their jobs as being a good fit. Furthermore, these practices fulfil employment expectations for employees, resulting in job fit and boosting the employee’s performance; highlighting person–job fit as potential mediator.

Grounding on the person–environment congruence theory, this study shed light on the relationship between HPWPs and job performance via person–job fit in the Indian higher education sector. This develops a unique management philosophy and strategies for long-term sustainable growth of organizations to give proper concrete evidence for the significance of human resource management (HRM).

This study findings persuade HR professionals in higher education institutions to actively engage in reconsidering and implementing their current HPWPs efficaciously to ensure that the employees are well-suited to their roles, i.e. increased person–job fit and perform at a higher level. Furthermore, considering the favorable impact of HPWPs on job fit and performance, it is pertinent to extensively use these practices in organizations all over the world especially across developing nations as a successful HRM solution.

This longitudinal study provides first-hand information on person–job fit intervening as a mediator in HPWPs and job performance relationship thereby contributing to the current corpus of HPWPs work. This fills the gap in HPWPs and job performance literature by identifying a novel concept of person–job fit that is mostly unexplored in developing countries like India.

The purpose of this paper is to ensure the anonymity and security of health data and improve the integrity and authenticity among patients, doctors and insurance providers. Simulation and validation algorithms are proposed in this work to ensure the proper implementation of the distributed system to secure and manage healthcare data. The author also aims to examine the methodology of Wireless Body Area Networks and how it contributes to the health monitoring system.

Wireless Body Area Network (WBAN) plays an important role in patient health data monitoring. In this paper, a novel framework is designed and proposed to generate data by the sensor machines and be stored in the cloud, and the transactions can be secured by blockchain. DNA cryptography is used in the framework to encrypt the hashes of the blocks. The proposed framework will ensure the anonymity and security of the health data and improve the integrity and authenticity among the patients, doctors and insurance providers.

Cloud Computing and Distributed Networking have transformed the IT industry and their amalgamation with intelligent systems would revolutionize the Healthcare Industry. The data being generated by devices is huge and storing it in the cloud environment would be a better decision. However, the privacy and security of healthcare data are still a concern because medical data is very confidential and desires to be safe and secure. The blockchain is a promising distributed network that ensures the security aspect of the data and makes the transactions authentic and transparent. In this work, the data is collected using various sensor devices and is transmitted to the cloud through the WBAN via the blockchain network.

In this paper, a framework for securing and managing the healthcare data generated by intelligent systems is proposed. As the data generated by these devices are heterogeneous and huge in nature, the cloud environment is chosen for its storage and analysis. Therefore, the transactions to and from the cloud are secured by using the blockchain-based distributed network.

The target end-users of our system are the patients to keep themselves informed and healthy, healthcare providers to monitor the conditions of their patients virtually, and the health insurance providers to have a track of the history of the patients, so that no fraudulent claims can be made.

The target end-users of our system are the patients for keeping themselves informed and healthy, healthcare providers for monitoring the conditions of their patients virtually and the health insurance providers to have a track of the history of the patients, so that no fraudulent claims can be made.

Very little research has examined how adaptivity, adaptability resources, adapting responses and adaptation results are interlinked with each other. The current research aims to investigate whether career adaptability influences job outcomes via job content plateau. Taking career construction theory (Savickas, 2005) as a base, the research model of this study posited that employee's favorable job outcomes, i.e. job satisfaction and performance depend upon their psychosocial meta-capacities (career adaptability) and job content plateau. Further, the study is the first to examine the moderating role of proactivity among career adaptability, job content plateau and job outcomes relationship.

It is a two-wave longitudinal study, quantitative in nature and has collected data from 357 faculty members of Indian universities. The hypotheses have been empirically tested through the structural equation modeling technique.

The moderated mediation model was supported, and as predicted, (1) career adaptability was positively related to job outcomes and (2) the mediated relationship between career adaptability and job outcomes via content plateau was stronger for individuals with high levels of proactivity.

The study encourages career management practitioners and counselors to integrate proactive behaviors and career adaptability into counseling techniques to equip clients with necessary skills and deal with unfavorable job experiences, thereby engendering favorable job outcomes.

The current study is the first to test the intervening effect of proactivity in career adaptability and job outcomes relationships via job content plateau.

Diabetes is a major metabolic disorder which can affect entire body system adversely. Undiagnosed diabetes can increase the risk of cardiac stroke, diabetic nephropathy and other disorders. All over the world millions of people are affected by this disease. Early detection of diabetes is very important to maintain a healthy life. This disease is a reason of global concern as the cases of diabetes are rising rapidly. Machine learning (ML) is a computational method for automatic learning from experience and improves the performance to make more accurate predictions. In the current research we have utilized machine learning technique in Pima Indian diabetes dataset to develop trends and detect patterns with risk factors using R data manipulation tool. To classify the patients into diabetic and non-diabetic we have developed and analyzed five different predictive models using R data manipulation tool. For this purpose we used supervised machine learning algorithms namely linear kernel support vector machine (SVM-linear), radial basis function (RBF) kernel support vector machine, k-nearest neighbour (k-NN), artificial neural network (ANN) and multifactor dimensionality reduction (MDR).

The study aims to synthesize the state of research on pride in consumer behaviour and marketing. Specifically, this study aims to understand the emergent themes of literature, the key theories, analytical techniques and methodologies used, as well as key variables associated with pride in consumer behaviour and marketing.

Using a systematic literature review process, the study analyses 59 research articles and structures its findings by using the theory–context–characteristics–methodology framework.

The review proposes a taxonomical classification of the multiple conceptualizations of pride. It identifies that the phenomenon and regulation of pride is explained using theories from psychological self-related research. Pride has been experienced in sustainable, advertising, luxury and digital consumption contexts. Reviewed articles showed an over-reliance on the quantitative methodology and the experimental method. The review identifies that pride is associated with positive outcomes and has considerable influence on consumer behaviour. Building on this analysis, 12 research questions are developed to encourage future research.

To the best of the authors’ knowledge, this study is the first structured review on the emotion of pride in the domains of consumer behaviour and marketing.

One of the main sustainable development goals (SDGs) highlights gender equality. Gender inequality is usually measured through the Gender Inequality Index (GII) based on three main dimensions, namely, (1) economy, (2) social empowerment, and (3) reproductive health, as demonstrated by death ratio and fertility rates. The aim is to formulate a model for women’s empowerment towards achieving the SDGs. Specifically, the objectives include (1) comparing gender inequality levels among ASEAN countries and (2) analyzing regulations on gender and development perspectives in Indonesia. This research used the mixed method and panel data, namely analyzing gender inequality.

The results show that, in the common effect model, all variables affected the participation of women in the workforce. The analysis shows that the enactment of laws and regulations on gender mainstreaming has an impact on reducing gender inequality and increasing various indicators of gender mainstreaming, especially in increasing the participation of women in the workforce.