Search results

This study aims to measure the level of satisfaction among women with childbirth services provided at public health facilities. Further, to analyse the impact of their socio-economic and obstetric characteristics on their level of satisfaction.

To accomplish these objectives a cross-sectional survey was conducted in two districts of an Indian state, Bihar. Structured questionnaire was developed based on the scale proposed by Okumu and Oyugi (2018) both for vaginal and caesarean birth patients. For empirical analysis multiple linear regression model was employed.

Results suggest that majority of mothers are satisfied with the care they received during childbirth, regardless of whether they chose a caesarean (55%) or vaginal delivery (53%). Women report the lowest levels of satisfaction with postpartum care and the privacy that was preserved by healthcare personnel at health facility. Further the study also confirms the association between patient’s socio-economic characteristics and their satisfaction level.

This is the first study of its kind to highlight the situation of public healthcare system in Bihar, which is the third most populated state in India with poor social and health indicators.

This study attempts to examine the factors that influence user intention to adopt e-procurement in the Nigerian public sector.

A well-structured questionnaire was used to collect primary data from 278 procurement and information technology (IT) departments’ officials of key federal government ministries and agencies. The technology acceptance model (TAM) model was adopted and extended with security-related factors, namely perceived trust and perceived security. A partial least squares-structural equation modelling (PLS-SEM) approach was used to test and validate the model.

The results indicated that perceived usefulness is the best predictor of users’ intention to adopt e-procurement, followed by perceived security and perceived trust. In contrast, however, perceived ease of use was found to have a significant negative effect on the intention to adopt e-procurement.

This study is among the first in the Nigerian public sector context to evaluate users’ perceptions on e-procurement adoption with the use of a distinctive research model (TAM). The study's findings contribute to a better understanding of the factors influencing the adoption of e-procurement in the Nigerian public sector.

The purpose of this paper is to explore the importance of personalisation in the relationship between the architectural design of homes and inhabitants’ psychological well-being.

This interdisciplinary mixed-method study first investigates the existence of a link between personalisation and users’ association with home through a quantitative study (n = 101) and then explores the nature of this relationship through qualitative interviews (n = 13) in a sequential explanatory approach.

The main findings of the study highlight the significance of personalisation in relation to the way people perceive home. A direct link was established between participants’ involvement in the transformation of the home and their satisfaction with the residence, as well as satisfaction with life in general. Further thematic analysis of the qualitative study revealed further conceptualisations of personalisation, which together form an umbrella concept called transformability.

The findings underscore the need for embedding flexibility as an architectural concept in the design of residential buildings for improving the well-being of occupants.

The design of homes has a great impact on inhabitants’ psychological well-being. This is becoming of greater importance in light of the global COVID-19 pandemic that has led to an increase in the amount of time spent in homes. This research contributes to this debate by proposing concepts for a deeper understanding of architectural influences on the psychology of the home.

The purpose of this paper is to investigate the determinants of users' intention to continue to invest in cryptocurrencies. The paper also aims to examine the impact of hedonic motivation and the legal environment on perceived value in cryptocurrencies.

A questionnaire was designed to obtain data from 258 respondents in UAE. The Structural Equation Modeling – Partial Least Squares (SEM-PLS) was used to evaluate the research model and test the hypotheses.

The results of smart PLS path analysis showed that perceived value, hedonic motivation, gambling attitude, and price volatility were significant determinants of the continued intention to invest in cryptocurrency. This study also revealed that hedonic motivation enhances perceived value and improves the perception of cryptocurrencies value from user's perspective.

This study provides new insights into the literature on cryptocurrencies adoption, and delivers advanced understanding about the determinants of user's intention to continue investing in cryptocurrencies. In addition, the study provides important practical implications for cryptocurrencies companies to promote this financial technology to users by enhancing the knowledge of policy makers about how investors think and get motivated towards a continued investment of cryptocurrencies.

This study aims to empirically examine the impact of perceived risks, optimism and financial literacy on trust and the perceived value of cryptocurrencies. It will also examine the impact of trust on the perceived value of cryptocurrencies.

A quantitative approach is followed. A questionnaire was designed to collect data from 308 respondents in Jordan. The Structural Equation Modeling – Partial Least Squares (SEM-PLS) method was used to evaluate the research model and test hypotheses.

The results of PLS algorithm analysis showed that perceived risks negatively impact the optimism and trust in cryptocurrencies. This study revealed that while financial literacy minimizes the perceived risks, it serves to enhance optimism and improve the perception of the value of cryptocurrencies. Furthermore, the findings of this study show that optimism plays a significant role in trust and perceived value.

This study provides new insights into the literature on cryptocurrencies adoption, blockchain theory, the theory of trust in financial systems, the role of the optimism factor and the perception of the value of cryptocurrencies. It also provides important practical implications for different stakeholders.

The onset of a health crisis has substantially crippled the hotel industry, causing employees' fears of an imminent job loss. This study investigates how hotel employees' perceived job insecurity affects work engagement and psychological withdrawal behavior. Additionally, it explores the mediating role of work engagement between job insecurity and psychological withdrawal behavior, along with examining the moderating effects of employee resilience on the links between job insecurity, work engagement and psychological withdrawal behavior.

Adopting simple random sampling, a total of 357 completed questionnaires by Thai frontline hotel employees in 36 four- and five-star international hotel chains in Phuket, Thailand, were analyzed. Data analyses were undertaken by SPSS version 25.0 and partial least squares structural equation modeling (PLS-SEM) version 4.0.9.1.

Results indicate that perceived job insecurity diminishes work engagement and leads to psychological withdrawal behavior. Work engagement is found to partially mediate the connection between job insecurity and psychological withdrawal behavior. Furthermore, employee resilience lessens the impact of job insecurity on work engagement while reinforcing the link between work engagement and psychological withdrawal behavior.

The study findings offer valuable practical implications, illustrating how Thai hospitality firms can cultivate effective talent management practices to develop and enhance employees' skills, engagement and enthusiasm in their work. These practices can assist employees in coping with and managing their perceptions of job insecurity during turbulent times and uncontrollable crises.

This study creates a compelling framework to elucidate the connections among COVID-19-intensified job insecurity, work-related outcomes and personal factors. It introduces a previously underexamined perspective that enriches the authors' theoretical comprehension of how personal resources, like employee resilience, serve as protective factors, shaping employee behavior and performance amidst job insecurity. Moreover, the study advocates for a synthesizing approach, emphasizing the integration of various theoretical perspectives and past literature, particularly when research gaps cannot be sufficiently addressed by a single theory.

The purpose of this paper is to systematically analyze the literature around regulatory compliance and market manipulation in capital markets through the use of bibliometrics and propose future research directions. Under the domain of capital markets, this theme is a niche area of research where greater academic investigations are required. Most of the research is fragmented and limited to a few conventional aspects only. To address this gap, this study engages in a large-scale systematic literature review approach to collect and analyze the research corpus in the post-2000 era.

The big data corpus comprising research articles has been extracted from the scientific Scopus database and analyzed using the VoSviewer application. The literature around the subject has been presented using bibliometrics to give useful insights on the most popular research work and articles, top contributing journals, authors, institutions and countries leading to identification of gaps and potential research areas.

Based on the review, this study concludes that, even in an era of global market integration and disruptive technological advancements, many important aspects of this subject remain significantly underexplored. Over the past two decades, research has lagged behind the evolution of capital market crime and market regulations. Finally, based on the findings, the study suggests important future research directions as well as a few research questions. This includes market manipulation, market regulations and new-age technologies, all of which could be very useful to researchers in this field and generate key inputs for stock market regulators.

The limitation of this research is that it is based on Scopus database so the possibility of omission of some literature cannot be completely ruled out. More advanced machine learning techniques could be applied to decode the finer aspects of the studies undertaken so far.

Increased integration among global markets, fast-paced technological disruptions and complexity of financial crimes in stock markets have put immense pressure on market regulators. As economies and equity markets evolve, good research investigations can aid in a better understanding of market manipulation and regulatory compliance. The proposed research directions will be very useful to researchers in this field as well as generate key inputs for stock market regulators to deal with market misbehavior.

This study has adopted a period-wise broad-based scientific approach to identify some of the most pertinent gaps in the subject and has proposed practical areas of study to strengthen the literature in the said field.