Search results
1 – 9 of 9Harleen Kaur and Rajpreet Kaur
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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).
Practical implications
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.
Originality/value
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.
Details
Keywords
Harleen Kaur and Harsh V. Verma
This paper aims to conceptualize and define a construct of brand pride and develop a measurement instrument for the construct.
Abstract
Purpose
This paper aims to conceptualize and define a construct of brand pride and develop a measurement instrument for the construct.
Design/methodology/approach
A scale development procedure comprising a qualitative prestudy and four quantitative studies for item generation and content validity, scale refinement using exploratory factor analyses, scale confirmation using confirmatory factor analysis and scale validity using PLS-SEM is followed to develop the measure of brand pride.
Findings
The scale development procedure yields a two-dimensional measurement instrument for brand pride with affective and utilitarian dimensions. The proposed scale is reliable and has convergent, discriminant and nomological validity.
Originality/value
This study highlights the need to study brand pride by reviewing literature from both psychology and marketing. The definition and conceptualization of brand pride help uniquely identify and describe the phenomenon. By developing a scale to measure the construct of brand pride, this study will enable research into the phenomenon, its causes and effects and its significance for consumer–brand relationships.
Details
Keywords
Harleen Kaur, Roshan Jameel, M. Afshar Alam, Bhavya Alankar and Victor Chang
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Research limitations/implications
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.
Practical implications
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.
Originality/value
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.
Details
Keywords
Harleen Kaur and Rajpreet Kaur
Very little research has examined how adaptivity, adaptability resources, adapting responses and adaptation results are interlinked with each other. The current research aims to…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Practical implications
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.
Originality/value
The current study is the first to test the intervening effect of proactivity in career adaptability and job outcomes relationships via job content plateau.
Details
Keywords
Harleen Kaur and Vinita Kumari
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…
Abstract
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).
Details
Keywords
Harleen Kaur and Harsh V. Verma
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…
Abstract
Purpose
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.
Design/methodology/approach
Using a systematic literature review process, the study analyses 59 research articles and structures its findings by using the theory–context–characteristics–methodology framework.
Findings
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.
Originality/value
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.
Details
Keywords
This study developed a new analytical model to quantify the influence of business intelligence (BI) adoption on bank performance. An in-depth review of academic literature…
Abstract
Purpose
This study developed a new analytical model to quantify the influence of business intelligence (BI) adoption on bank performance. An in-depth review of academic literature revealed a significant research gap exists in investigating BI's performance impacts, especially in the under-studied Indian banking context. Additionally, customer relationship management (CRM) was incorporated as a moderating variable given banks' large customer databases.
Methodology
A survey was administered to 413 employees across leading Indian banks to collect empirical data for evaluating the conceptual model. Relationships between variables were analysed using partial least squares structural equation modelling (PLS-SEM). This technique is well-suited for theory building with smaller sample sizes and non-normal data.
Findings
Statistical analysis supported the hypothesised positive effect of BI adoption on bank performance dimensions including growth, internal processes, customer satisfaction, and finances. Furthermore, while CRM did not significantly moderate this relationship, its inclusion represents an incremental contribution to the limited academic literature on BI in Indian banking.
Implications
The model provides a quantitative basis for strategies leveraging BI's performance benefits across the variables studied. Moreover, the literature review revealed an important knowledge gap and established a testable framework advancing BI theory in the Indian banking context. Significant future research potential exists through model replication, expansion, and empirical verification.
Originality
This research thoroughly reviewed existing academic literature to develop a novel testable model absent in prior studies. It provides a robust conceptual foundation and rationale for ongoing scholarly investigation of BI's deployment and organisational impacts.
Details
Keywords
Izza Mafruhah and Indah Susilowati
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…
Abstract
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.
Details