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In a competitive environment, effective communication between doctors and patients is vital throughout their hospital experience. This study focuses on nonverbal communication in the Indian healthcare context to attain the following objectives: i) to examine the relationship between nonverbal communication cues (e.g. facial expressions, gestures, body language) and emotional response of patients in hospital settings; ii) to assess the impact of positive nonverbal communication on patients’ revisit intention to the same hospital; and iii) to identify specific nonverbal communication behaviors or cues that significantly contribute to positive patient experiences and satisfaction.

Data for this study was collected from patients who visited both government and private hospitals during their respective outpatient departments. The data was collected from a specific sample of 320 respondents using a simple random sampling technique; however, only 303 responses were used for the analysis, with the remaining responses excluded due to their incompleteness. In this study, multiple-item scales were used to assess each construct. The survey instrument used in this research was divided into four parts, with the Hospital Service Evaluation section specifically focusing on the nonverbal communication of employees, emotional responses and customer satisfaction.

Kinesics, paralanguage and physical appearance have statistically significant and positive relationships with positive emotion. Proxemics does not have a statistically significant relationship with positive emotion. None of the predictors (kinesics, proxemics, paralanguage and physical appearance) show statistically significant relationships with the dependent variable (negative emotion). Positive emotion has a statistically significant and strong positive relationship with customer satisfaction. Positive emotion has a substantial impact on customer satisfaction. There is no statistically significant relationship between negative emotion and customer satisfaction. There exists a weak influence of negative emotion on customer satisfaction.

Hospitals should consider providing training programs for healthcare professionals to improve their nonverbal communication skills. This can be done by organizing workshops on body language, voice modulation and personal grooming, enabling staff to effectively convey empathy, warmth and professionalism to patients. To reduce the impact of negative emotions, hospitals should implement mechanisms for promptly addressing and resolving issues that can prevent negative experiences from affecting customer satisfaction. By implementing this, hospitals can effectively leverage nonverbal communication to enhance customer satisfaction and motivate patients to revisit the facility for their healthcare needs.

Originality report is based on turnitin software: 19% – Similarity Index; 15% – internet sources; 22% – publications; 16% – student papers. The similarity is mainly because of reference which is used to conduct this study. In this study, there are some words, such as kinesics, proxemics, paralanguage and physical presence, which are used many times in the study, so there is more similarity.

The purpose of this study is to examine and identify the predominant themes in the literature on economic freedom. The paper also highlights the key journals, leading authors, top countries and organisations in the literature on economic freedom.

This paper uses the Scopus database to examine 1,512 articles covering the disciplines of economics, finance, business and social sciences from 1942 to 2022. Vosviewer software is used for creating bibliometric networks.

The findings suggest that significant growth in the economic freedom literature has occurred in the last ten years. Considerable attention has been devoted to examining the relationship between economic freedom and growth. The paper also finds that most of the research on economic freedom has been undertaken in the context of developed countries.

This study is one of the first attempts to undertake a bibliometric analysis of economic freedom. The article also highlights the less-researched areas in the literature and thus provides directions for future research.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-09-2023-0690.

Organizations use innovations and respond to external pressures, creating a transition to the sociotechnical system. In their transitions, they interact with the environment and undergo adaptation-selection. The extant literature used a multilevel perspective (MLP) with a structural view and examined dynamics and transitions (phenomena) in a noninterventionistic setting. This study aims to examine the dynamics and phenomena with a microstructural or functional view and expand the MLP; this paper uses neo-institutionalism and human values as part of the functional view. Moreover, when the authors examine the phenomena in an interventionistic setting, they can obtain certain unique dynamics and their influence on the phenomena.

The authors need to examine the phenomena in its setting, so this paper selected a case study, Indian electricity generation. For diverse heuristic and analytic views, it selected two Indian states.

The findings from the functional view showed that organizations exhibit certain traits of neo-institutionalism and human values, which mediate their responses (behavior) to external pressures. Additionally, due to the interventionist state, their dynamics use shaping instead of selection logic for innovations, which decides the transition pathway selection (technology adoption). It further decided the extent to which innovations cumulate as stable designs. As a result, the responses and the transition provide benefits in the short term while invariably failing in the long term.

By selecting cases with higher investments in renewable energies and combustible fuels, the authors can expand the functional view to include user typologies such as producers, intermediaries and citizen groups and obtain further insights into transitions.

The study highlights the generation dynamics specific to Indian electricity generation and its transition pathways. The study’s outcome provides insights to researchers and practitioners in formulating policy changes and transforming electricity generation.

The study uses a functional view comprising neo-institutionalism and human values and expands the sociotechnical transition theory. In addition, selecting an interventionist setting provided insights into dynamics specific to organizational behavior and associated services. Finally, the obtained insights offer suggestions for technology development to better manage transitions with adaptation-selection.

This chapter analyzes the link between the digital divide, infrastructure regulation, and disaster planning and relief through a case study of the flood in San Jose, California triggered by the Anderson dam’s overtopping in February 2017 and an examination of communication failures during the 2018 wildfire in Paradise, California. This chapter theorizes that regulatory decisions construct social and disaster vulnerability. Rooted in the Whole Community approach to disaster planning and relief espoused by the United Nations and the Federal Emergency Management Agency, this chapter calls for leadership to end the digital divide. It highlights the imperative of understanding community information needs and argues for linking strategies to close the digital divide with infrastructure and emergency planning. As the Internet’s integration into society increases, the digital divide diminishes access to societal resources including disaster aid, and exacerbates wildfire, flood, pandemic, and other risks. To mitigate climate change, climate-induced disaster, protect access to social services and the economy, and safeguard democracy, it argues for digital inclusion strategies as a centerpiece of community-centered infrastructure regulation and disaster relief.

The study aims to discern the primary obstacles confronted by the implementing agencies in their efforts to foster financial inclusion through the “Pradhan Mantri MUDRA Yojana” (PMMY).

To collect primary data, a semi-structured questionnaire was developed. Around 120 loan officers from the implementing agencies (Scheduled Commercial Banks (SCBs), Regional Rural Banks (RRBs), Small Finance Banks (SFBs), Non-Banking Financial Companies (NBFCs) and Micro- Finance Institutions (MFIs)) of Haryana were randomly selected to fulfill the objectives. To categorize the perceived problems into discrete factors, the “factor analysis” technique was employed. The scales were then regressed on factors linked to the demographic characteristics of the loan officers to validate the hypotheses.

The study highlighted the primary obstacles impeding the advancement of financial inclusion, which encompass a range of factors. These include challenges in management, infrastructure, politics, finance and technology. Furthermore, the study established the association of the explanatory variables, namely gender, age, educational qualification, location and experience of the officers, with the extracted constraints. Notably, the experience of loan officers emerged as the most influential variable contributing to the promotion of financial inclusion through the scheme.

The current body of literature lacks any empirical investigation focusing on the perspectives of the implementing agencies regarding the challenges they encounter in advancing FI. Given the significance of FI in India, where access to formal financial services remains a critical issue, this research adds value by addressing the gaps in understanding the problems encountered.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-06-2023-0462

The purpose of this paper is to recognize and prioritize the critical drivers (CDs) essential for establishing a sustainable foxnut supply chain (SFNSC) aligned with the sustainable development goals (SDGs) set forth by the United Nations. The objective is to make a meaningful contribution to the longevity and well-rounded sustainability of the foxnut industry by scrutinizing pivotal factors that endorse triple bottom line (TBL) sustainability aspect throughout the supply chain.

A systematic approach, integrating literature reviews and government reports, identified potential CDs for a sustainable foxnut supply chain. Expert opinions refined the list with the help of fuzzy-Delphi method (FDM), and the final CDs were analyzed with fuzzy decision-making trial and evaluation laboratory (F-DEMATEL) to establish their causal relationships and hierarchical importance.

The study identifies the top three CDs for a SFNSC: “Branding of the product”, “The Global increase in demand” and “Value addition of the foxnut”. Moreover, “Storage infrastructure”, “Mechanized processing” and “Proper transportation facilities” also contribute to the sustainability of the foxnut supply chain.

The results hold significance for various stakeholders in the foxnut industry, encompassing producers, policymakers and researchers. The identified CDs can guide decision-making and resource allocation to improve the sustainability of the foxnut supply chain. The study's framework and methodology can also be applied to other industries to promote sustainable practices and achieve SDGs.

This study enhances understanding of CDs for an SFNSC. FDM and F-DEMATEL techniques analyze causal relationships and rank key factors. The SFNSC model may help other major foxnut producers to become more sustainable.

The aim of this paper is to determine whether the efficiency of banks’ human capital (HC) has moderating effects on the relationship between asset diversification and bank performance over the 2008–2020 period.

Our study considers generalized least squares estimation in fixed effects panel.

Results show that banks with higher levels of HC and higher degree of diversification reduce bank profitability and efficiency. The results also depict that the financial stability-reducing effects of Income diversification decrease as bank HC efficiency increases. At the same time, the effects of income and asset diversity on financial stability change depending on the performance aspect.

Previous research on banks’ performance is concentrated on asset diversification. This article broadens to the HC, Asset diversification and the moderating effects of the profitability, stability and efficiency of French Banks.

The purpose of this article is to conduct a bibliometric analysis of the cellular manufacturing system (CMS) literature published from 1982–2021 to identify key issues and trends for the future.

A six-stage methodology is used to conduct a literature review, which includes: (1) article collection; (2) inclusion/exclusion criteria; (3) reviewing the articles; (4) analyzing the articles; (5) framework development; and (6) future research directions. A total of 936 CMS-specific articles are reviewed. This paper made use of three software tools: the R package, VOSviewer and SciMAT.

According to the findings, the majority of CM researchers focused on cell formation and design. The USA, Iran and India are the top three leading publishers. Additionally, the gap and future direction of CM are discussed.

To the best of the authors' knowledge, the current study is the first attempt to investigate CMS evaluation through bibliometric and thematic analysis and provides a decisional framework as well as steps for CMS adoption. For individuals who are interested in understanding more about CMS and its evolution, this paper offers a starting point.

This paper highlights public health issues arising in prisons due to overcrowding – focusing on existence of tuberculosis (TB) and its transmission in a TB endemic country. It further addresses feasible TB management, to develop an applicable preventive intervention that will control TB transmission and development within and outside prisons. This study aims to decrease morbidity and mortality caused by TB by identifying latent tuberculosis infection (LTBI) cases.

A novel cross-sectional study conducted on male prisoners of Central Prison Rawalpindi, dividing them into three strata, i.e. under-trial (UTP), convicted (CTP) and condemned (CP) prisoners. Prevalence of latent TB infection within prisoners was methodologically calculated using multiple statistical analysis at 95% confidence interval. This research sourced an invasive skin test (Mantoux test) for primary data collection from targeted key population.

This research calculated existing prevalence of LTBI at 47.25%, 47.45% and 53%, respectively in UTP, CTP and CP prisoners, and 32.2% in total prison population. Overcrowding, poor health conditions and excessive smoking presented strong statistical significance to high LTBI prevalence across the prison population.

Limitations included accessibility to prisons due to procedural concealment, and unannounced release of UTPs that was dealt through supplementary testing. The presented research findings highlight the disease spread across key populations, and the importance of identifying, containing and controlling them. It elaborates the crucial use of Mantoux tuberculin skin test (TST) to identify and isolate LTBI and potential TB cases in a closed population. It also facilitates policy implications that promote health and safety for prisoners, law enforcers and associated external population.

TB is one of the top 10 fatal illnesses and second highest infectious disease worldwide. For decades, TB ruled over human health and threatened their survival. Health-care professionals face challenges in locating, isolating, treating and controlling TB across the globe. Pakistan is a TB endemic country that internationally ranks fifth in nations with high TB burden. LTBI prevalence is unknown in Pakistan. Key populations are well-known to comparatively live with higher rates of infectious disease. Therefore, this research targeted a key population and has successfully calculated LTBI prevalence in overcrowded male prison population.

Key populations are at high risk of contracting and transmitting communicable diseases. They not only possess higher disease incidences, but are also responsible for disease-spread within and outside their community. Targeting them will help in controlling for LTBI across prison population as well as the external population that is associated with the prisoners. TST allowed maximum screening coverage, encapsulated LTBI, spread awareness and eliminated stigmatisation.

Prevalence of TB and LTBI are unknown in Pakistan. This novel research calculated LTBI prevalence through primary data collection and targeted key populations. Authors collected primary data on case-by-case basis. This study has efficaciously located and isolated LTBI cases among the sample population following internationally standardised TST procedures.

ChatGPT, a cutting-edge language model, stands as an unparalleled, unmatched conversational ally, showcasing novel versatility and intelligence in its responses. This research delves into the incorporation of ChatGPT, a powerful generative AI tool, into professional communication. This study utilizes the information system success model (ISSM) to examine the role of ChatGPTs in strengthening information quality (IQ), system quality (SQ) and service quality (SEQ) for improving customer usage intention (UI) and satisfaction (SAT). The study also investigates the moderating impact of perceived innovativeness between these relationships.

The research collected data from a sample of 400 customers through an online survey and validated the hypothesized relationships using structural equation modelling (SEM). Process Macros 4.1 in SPSS 22.0 is used to test the moderating role of perceived innovation between IQ, SQ and SEQ and UI and SAT.

The results of SEM analysis indicate that IQ, SQ and SEQ all positively support UI to use ChatGPT for professional communication with SAT. The result also establishes that perceived innovativeness positively moderates the relationship between IQ, SQ and SEQ and UI and SAT.

This research study offers novel contributions to the literature and body of knowledge by establishing the moderating role of perceived innovativeness in strengthening the relationship between IQ, SQ and SEQ and UI and SAT. Further, this study also proposes a 2*2 matrix to segment the UI and SAT of ChatGPT users in professional communication with varying degrees of perceived innovativeness.