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It is currently difficult to measure temperature and pressure in harsh environments. Such measurements are limited by either the ability of the sensing element or the associated electrical wiring to withstand the operating environment. This is unfortunate as temperature and pressure are important measurands in various engineering structures as they provide critical information on the operating condition of the structure. Hence, there is a need to address this shortcoming. Such a sensor in place would enhance the operating efficiency thereby reducing the pollution burden and its impact on the environment. The purpose of this paper is to present theoretical and preliminary experimental results for a co‐integrated pressure and temperature sensor for harsh environments.

This work describes a co‐integrated pressure‐temperature wireless sensing scheme. The approach presented herein provides the possibility of measuring dynamic pressure and temperature within an enclosed volume using acoustic signals. Resonance tube physics is exploited for the temperature sensing. A microphone is used to obtain the acoustic signal whose frequency is a function of the temperature and the tube geometry.

The dynamic pressure is measured from the calibrated amplitude of the pressure wave signal measured by the microphone. The temperature can be measured through the shift of the standing wave frequency with a resolution of <1°C. The resonance tube can be fabricated using any material that resists harsh environments. The geometry of the tube can be tailored for any specific frequency range, as the application warrants. Also, this provides a means for accurate temperature compensation of pressure sensor data from high temperature environments. A Matlab/Simulink model is developed and presented for the acquisition of acoustic signals through the wall of an enclosed volume. For these applications the standing wave signal transmitted through the enclosure wall becomes a function of the wall material and wall thickness. Preliminary experimental results are presented in which a DC fan is used for generating the dynamic pressure in a varying temperature environment.

The major issue is the separation of the noise from the signal. As various applications yield specific signal noise, the problem needs detailed data to be addressed.

Temperature and dynamic pressure could be recorded/monitored in very harsh environment conditions such as chemical reactors.

This work demonstrates the possibility of employing a co‐integrated acoustic sensing scheme in which both pressure and temperature are measured simultaneously with a sole sensor. The major advantage with acoustic sensing is the wireless transmission of data. This allows for non‐invasive measurement from within enclosed systems. Direct real‐time temperature compensation is possible that does not require any compensation circuitry. Hence, pressure and temperature data may be obtained from caustic operating environments whose access is otherwise not feasible.

The purpose of this paper is to review the diversified existing literature on tourism and carbon emissions using bibliometric analysis to churn down the multiple studies under one paper, which not only provides insights into the evolution and progress of the research area but also sets the future research agenda.

The study adopted the Scientometrics review methodology based on the bibliometric analysis. Bibliometric analysis is conducted through the following techniques, namely, citation analysis, thematic mapping, country collaboration, co-citation analysis and co-occurrence of keywords with the help of R-based bibliometrix and visualization of similarities (VOS) viewer open-source software.

The study identified the most prominent authors, studies, journals, affiliations and countries in the field of sustainable tourism, as well as the most co-cited authors and journals, based on a bibliometric analysis of 398 research papers retrieved from the Scopus database during the past three decades (1990–2021). Moreover, some of the relevant themes identified by the authors are energy use and carbon dioxide (CO₂) emission of the tourism sector, economic impacts of tourism and CO₂ emissions and CO₂ emissions and carbon tax.

The outcome of the selected studies is a unique contribution to the field of sustainable tourism as it is one of the first known studies to review tourism and carbon emissions. It provides in-depth bibliometric analysis of articles and identification of the important research trends.

The purpose of this paper is to investigate the effect of health-care service quality (HCSQ) dimensions on patient satisfaction and behavioural intentions in selected corporate hospitals from South India.

Based on Parasuraman et al.’s SERVQUAL variables, the study tried to identify the effects of each variable to patient satisfaction and behavioural intentions. Data were collected through systematic random sampling among 500 in-patients of corporate hospitals with minimum four days stay were considered for the in-patients’ sample. Structural equation modelling technique was used to investigate the effect of HCSQ dimensions on patient satisfaction and behavioural intention.

The findings suggest that in addition to “patient satisfaction”, the only HCSQ dimension that directly affects behavioural intention is “empathy”. In addition, “empathy” affects “responsiveness”, “assurance” and “tangibles” which, in turn, have only an indirect effect to behavioural intention through “patient satisfaction”.

This research investigated the HCSQ dimensions effects on patient satisfaction and behavioural intention from the perspective of patients and corporate hospitals run by the private players. This paper contributes to the body of academic knowledge by shedding more light into the role of HCSQ dimensions, and especially “empathy”, in the intentions for corporate hospital patients.

An understanding of the direct and indirect effect of HCSQ dimensions on patient satisfaction and behavioural intentions is important to corporate hospital marketing managers because it offers them the opportunity to take certain actions for improving patients’ satisfaction and these actions increase their intention to revisit.

The paper manages to investigate the effects of HCSQ dimensions on patient satisfaction and behavioural intention, especially in the health-care marketing sector.

This paper documents a robust empirical regularity: higher trade openness is associated with a lower unemployment rate. This paper also examines whether or not the effects of trade liberalisation depend on countries' income levels. Further, the dynamic causation between trade openness and unemployment is also examined.

In order to obtain insight into the openness–unemployment nexus, following empirical methods were utilised - static panel models, dynamic panel models and a novel panel Granger causality approach proposed by Juodis et al. (2021).

Results suggest that openness negatively affects unemployment; the extent to which trade liberalisation affects unemployment depends on the income level of each country. The Juodis, Karavias, and Sarafidis (JKS) test confirmed that the past values of trade openness, inflation, foreign direct investment and gross domestic product per capita contain information that helps to predict unemployment in a more robust manner. To simply put, opening upto trade may eventually become a requirement for creating more job opportunities, but this alone may not be enough. The extent to which nations benefit from trade liberalisation is largely dependent on the overall economic conditions and their capability to move up the income scale.

A major difference between this study and those performed previously is that this study does not only examine the impact of trade openness on unemployment, but also investigates whether the unemployment effect of liberalisation is affected by countries' income levels – an issue that has received little attention in the past. Additionally, the unique panel non-causality approach put forth by Juodis et al. (2021) is used in the first instance to look into the causal link between trade openness and unemployment. This method has advantages in that the method enables capturing Granger-causality in homogeneous or heterogeneous panels amongst multiple variables.

The requirement of high-quality government-supported healthcare services has necessitated the significance of recognizing new management practices to enhance patient satisfaction. Hence, the purpose of this study is to address the patient's enhanced custom needs through the implementation of supply chain value stream mapping (SCVSM) in government-supported drug distribution system (DDS) for enhanced patient's satisfaction.

This study elucidates the role of one popular emerging management technique (i.e. SCVSM) in the healthcare sector by an investigative case study. The DDS in Rajasthan (India) was selected for this study. The data for this analysis were gathered in three ways (i.e. direct observation, documentary analysis and semi-structured interviews).

The outcome of this current study reveals that it is possible to apply the tool (SCVSM) to investigate the wastes in DDS to deliver the medicines at right time, right quantity and right quality. The application of SCVSM concluded that the various Kaizens (areas needed to improve) in lead time; transportation and routing should be adopted. The study further implemented kaizen on the current SCVSM and developed future SCVSM.

Although various stages and functions exist in the healthcare supply chain, the current study is focused on the distribution system of drugs. The proposed approach provides a platform for both researchers and academicians to understand the existing DDS and to implement the SCVSM approach in the healthcare environment. The results show that the proposed SCVSM model is able to identify some operational bottlenecks and wastes which interfere in DDS.

It was observed that limited literature related to lean implementation on DDS and implementation of SCVSM on the healthcare environment in general and government-supported or public in specific are available. The current study on the application of SCVSM in DDS is unique in nature and will definitely add value to the existing literature of the application of value stream mapping (VSM) on the healthcare supply chain management field.

The purpose of this paper is to study the leadership style (LS) and decision-making style (DMS) of Indian manufacturing executives, and to explore the association between the LS and DMS.

For this study the sample was drawn from Indian manufacturing organisations’ executives from both public and private sectors. The respondents were lower, middle and senior levels executives involved in leadership and decision-making functions. Correlation, regression and ANOVA were used to pursue the research questions.

Indian manufacturing executives have shown highest rational and least avoidant in their DMSs. Transformational (TFM) leaders are found rational, while the transactional (TSL) leaders are observed to be rational and dependent. Laissez faire style has correlation with avoidant decision making and interactive dependent and avoidant styles.

The study is a cross sectional research with limitations of self-serving bias and common method variance. However, this limitation has been dealt with a statistical test.

The study bears significant implications for Indian executives who are working on LSs and decision making. It also provides the details of decision-making behaviours of the manufacturing executives thereby suggesting the associated benefits and drawbacks of particular styles.

This paper contributes to leadership and decision-making literature. In the recent times, no such study in Indian manufacturing context have been reported. Moreover there are few contrasting and contributing findings in this research.

This paper aims to derive determinants of loan loss provisions (LLPs) of commercial banks in Malaysia.

A single-stage panel data analysis multiple regression model that contains a mixture of quantitative and qualitative elements is used. The LLPs is a dependent variable or regressor, and non-performing loan (NPL), interest income, net profit, loans and advances and gross domestic product (GDP) are the independent variables or regressor/explanatory variables. The moderating variable is “credit risk management” (CRM) and the intervening variable is “relevance and faithful representation”.

This paper suggests in LLPs, NPLs, interest income, loans and advances, net profit and GDP, as well as the moderating effect of CRM and the intervening effect of relevance and faithful representation, are determinants of the LLPs. The moderating variable CRM strengthens the relationship between the independent variables and the dependent variable. The intervening variable “relevance and faithful representation” brings about a more accurate reporting on the levels of the LLPs.

The association of the factors is investigated further to detect possible effect of multicollinearity and research to better understand how banks manage their risk as the current investigation is limited to banks in Malaysia.

Loan loss provisioning issues of commercial banks in Malaysia are challenges for both regulators and the banking industry owing to the implementation of several new measures, the convergence with internationally accepted accounting standards and differences in loan grading and applications of different loan loss provisioning standards. Because of these challenges, Bank Negara Malaysia (the Central Bank of Malaysia) has tightened its supervision of commercial banks to ensure that banks are sufficiently and adequately provisioned. The banking sector plays a significant role, and it is important that it is resilient in the face of potential sources of systemic risk. And, like in other major ASEAN economies, the Malaysian’s financial system remains largely bank-dominated.

This study discovers whether Malaysian banks are sufficiently provisioned for the regional financial integration under the ASEAN Capital Markets Forum (ACMF) by the end of 2015, where several initiates have been initiated, including the harmonization of standards to encourage greater intra-regional investment flows and transactions and continued provisions of the much needed funds by the region’s private sectors.

Mainstream narratives in Indian history do not delve into the checkered history of the west coast. The reasons for this are many, including a predominantly center-outwards viewpoint of historians. West coast has always been open to sea route influences aiding its diversity. However, the lack of natural defense against colonizers from the sea destroyed indigenous and personal heritage. Small town narratives include uprooting, lack of access to past heritage and new settlement creation. The heritage of this everyday landscape shaped by human grit is the subject of the study.

This qualitative ethnographic study includes document analysis, transect walking, architectural built form study, open interviews and participatory observations.

The motivations for heritage management can be grouped into economic, cultural and technological. From a financial point of view, the urban core studied is still relevant and sustainable. Likewise, the Krishna temple dominates the cultural discussion and architectural documentation as a religious center. However, the cultural heritage of business streets and the third motivation of building technology have been largely ignored. This disregard is evident from neglect and the pastiche use of monumental or ornamental styles alien to the region for restoration efforts.

“Heritage is personal and individual as well as collective and universal” (Mire, 2016). The Pete heritage is not just crucial for the communities they house but the town as a whole. Their nonimpervious nature means that they hold collective memories for everyone. Attention to memories and monuments will increase the possibilities of shared responsibility between various stakeholders (Swenson et al., 2012). Therefore, they should be seen as a part of the larger whole.

This paper argues for the recent global bottom-up approach in heritage management rather than the conventional established practices. Established heritage management focuses on the mainstream, royal or specific ethnic heritage in the Indian subcontinent. The heritage of the common person rarely has the grandeur of monumental architecture taken up for preservation by the state. As a result, societies' individual and collective heritage are at risk of rapid erasure under the pressures of modernization. Built forms are repositories of cultural information; therefore, a sustainable instrument for the preservation of everyday heritage can be created with culture as an actuator. This study looks at the narrative of the historical coastal small-town business core created by internal mass migration due to colonization.

The purpose of this paper is to review the nature and extent of foodborne diseases in India due to chemical and microbial agents.

The scientific investigations/reports on outbreak of foodborne diseases in India for the past 29 (1980‐2009) years due to adulteration, chemical, and microbiological contamination have been reviewed. Reported scientific information on foodborne pathogens detected and quantified in Indian foods has also been reviewed.

A total of 37 outbreaks involving 3,485 persons who have been affected due to food poisoning have been reported in India. Although the common forms of foodborne diseases are those due to bacterial contamination of foods, however, higher numbers of deaths have been observed due to chemical contaminants in foods.

A national foodborne disease surveillance system needs to be developed in India in order to enable effective detection, control and prevention of foodborne disease outbreaks.