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Planning for Jaipur City in Rajasthan, north-western India, which was added to the World Heritage List in 2019, considers the surrounding hills and water systems. Rapid urbanisation is currently placing strain on the area, and natural resources and city green spaces are deteriorating. A multidisciplinary team of academicians, researchers and practitioners was assembled under the Heritage Place Lab (HPL) initiative with the aim of developing a research agenda to complement the city's Special Area Heritage Plan (SAHP) that is currently in development.

Given the complicated urban structure of Jaipur, an interdisciplinary approach involving experts from various fields and engagement from all levels of the city's stakeholders was necessary. The partnership proceeded following the parameters provided under the HPL to jointly build a research agenda focussing on the management challenges of the World Heritage Site.

The co-produced research programme narrowed its initial emphasis on documenting of the natural heritage of the city to reflect the functions it served in a social setting. It was also revealed that the conflicting nature of activities within the World Heritage Site is caused by overlapping jurisdictions of several administrative and legislative components.

Jaipur, examined here by an interdisciplinary Research-Practice Team, provides a valuable and unique case study for heritage management, particularly given that most historic cities in India are facing comparable concerns surrounding urbanisation with rising pressures on natural resources.

Proposes a method to compute reliability and long‐run availability of the main parts of the butter‐oil (melted butter) manufacturing plant. This manufacturing plant consists of eight sub‐systems working in a series. Two sub‐systems, namely pump and chiller, are supported by stand‐by units with perfect switch‐over devices and the remaining six sub‐systems are prone to failure.

Mathematical formulation of the model is carried out using mnemonic rule for these six sub‐systems. Reliability, availability and MTBF of the serial process in the butter‐oil processing plant have been computed for various choices of failure and repair rates of sub‐systems of this plant.

Analysis of reliability, long‐run availability and mean time before failure of the butter‐oil manufacturing plant can help in increasing the production and quality of the butter‐oil.

Industrial implications of the results have also been briefly discussed.

The purpose of this paper is to compute reliability, availability, and mean time before failure of the process of a plastic‐pipe manufacturing plant consisting of a (K, N) system for various choices of failure and repair rates of sub‐systems. This plant consists of eight sub‐systems.

In this paper the Chapman‐Kolmogorov differential equations are formed using mnemonic rule from the transition diagram of the plastic‐pipe manufacturing plant. The governing differential equations are solved using matrix method in order to find the reliability of the system with the help of MATLAB software. The same system of differential equations is solved numerically using Runge‐Kutta fourth order method to validate the results obtain by MATLAB.

The findings in the paper are an analysis of reliability, availability and mean time before failure of plastic‐pipe manufacturing plant has been carried out.

This paper proposes matrix calculus method using MATLAB software to find out the reliability of the plastic‐pipe manufacturing plant. This approach can be implemented to find reliability of other manufacturing plants as well.

The findings suggest that the management of the plastic‐pipe manufacturing plant 's sensitive sub‐system is important to improve its performance.

Traditional crafts, practised by local communities, contribute significantly towards intangible heritage. The study situates traditional crafts in historic urban areas, establishes its relevance and deliberates on the factors affecting it.

The methodology included questionnaire survey followed by semi-structured interviews. On-site observations were also taken as part of the methodology.

The study contextualizes traditional crafts in historic areas and throws light on the transformation processes in these crafts due to socio-cultural, economic, political and other factors. Through studies at three different historic settlements, it provides a wider understanding of the dynamics of the same craft in different setting.

The study would help in formulating guidelines for heritage management with respect to traditional crafts in historic urban areas.

The study brings out the role of intangible cultural heritage that is inherent to the local communities in historic urban areas.

Traditional crafts have been largely studied in their independent context. This study looks at the context specific to the place of creation of these crafts within the larger ecosystem of raw material-production-sale in historic urban areas. Also, with discussions on intangible heritage in context of the historic urban areas being largely an unexplored territory till recent times, this study will add to the earlier dialogue.

The purpose of this paper is to gain a better understanding of the effects of recruiter friendliness and both verifiable and non-verifiable job attributes in the recruitment process.

In total, 498 participants watched a videoed simulation of a recruitment interview and completed a questionnaire. Three-way analysis of variance (ANOVA) was used to test the interaction and main effect hypotheses.

Applicant reactions were more favorable with a friendly recruiter. The more favorable the verifiable job attribute information (JAI), the more favorable the applicant reactions were to the employment opportunity. Compared to applicants who received negative or no non-verifiable JAI, applicants who received positive or mixed non-verifiable JAI were more attracted to the recruiter, perceived the employment opportunity as more desirable, and were more willing to pursue the employment opportunity. Reactions were most favorable in the positive non-verifiable JAI condition, less favorable in the mixed condition, and least favorable in the negative condition. Surprisingly, the “no information” mean was above the negative information condition.

This fully crossed 2 × 3 × 4 experiment simultaneously examined 2 levels of recruiter friendliness, 3 levels of verifiable job attributes and 4 levels of non-verifiable job attributes. The five dependent variables were attraction to the recruiter, attraction to the employment opportunity, willingness to pursue the employment opportunity, the perceived probability of receiving a job offer and the number of positive inferences made about unknown organizational characteristics. Previous research examining the effects of employment inducements and job attributes were conducted in field settings where it is difficult to control the amount and favorability of JAI applicants receive.

There is a need to predict whether the consumers liked the stay in the hotel rooms or not, and to remove the aspects the customers did not like. Many customers leave a review after staying in the hotel. These reviews are mostly given on the website used to book the hotel. These reviews can be considered as a valuable data, which can be analyzed to provide better services in the hotels. The purpose of this study is to use machine learning techniques for analyzing the given data to determine different sentiment polarities of the consumers.

Reviews given by hotel customers on the Tripadvisor website, which were made available publicly by Kaggle. Out of 10,000 reviews in the data, a sample of 3,000 negative polarity reviews (customers with bad experiences) in the hotel and 3,000 positive polarity reviews (customers with good experiences) in the hotel is taken to prepare data set. The two-stage feature selection was applied, which first involved greedy selection method and then wrapper method to generate 37 most relevant features. An improved stacked decision tree (ISD) classifier) is built, which is further compared with state-of-the-art machine learning algorithms. All the tests are done using R-Studio.

The results showed that the new model was satisfactory overall with 80.77% accuracy after doing in-depth study with 50–50 split, 80.74% accuracy for 66–34 split and 80.25% accuracy for 80–20 split, when predicting the nature of the customers’ experience in the hotel, i.e. whether they are positive or negative.

The implication of this research is to provide a showcase of how we can predict the polarity of potentially popular reviews. This helps the authors’ perspective to help the hotel industries to take corrective measures for the betterment of business and to promote useful positive reviews. This study also has some limitations like only English reviews are considered. This study was restricted to the data from trip-adviser website; however, a new data may be generated to test the credibility of the model. Only aspect-based sentiment classification is considered in this study.

Stacking machine learning techniques have been proposed. At first, state-of-the-art classifiers are tested on the given data, and then, three best performing classifiers (decision tree C5.0, random forest and support vector machine) are taken to build stack and to create ISD classifier.

This issue is a selected bibliography covering the subject of leadership.

The purpose of this paper is to determine the role of service quality (SQ), trust and commitment to customer loyalty (CL) for telecom service users. Further, the moderating role of gender, marital status and connection type within the model was tested.

A measurement model was created based on valid 615 responses from Indian TSUs for SQ, trust, commitment and loyalty with the help of partial least squares structural equation modeling (PLS-SEM). Multi-group analysis (MGA) was conducted to understand the moderating effect of marital status, gender and connection type within the model.

The results suggest that, out of five dimensions of SQ, only responsiveness, assurance and empathy have a significant positive relationship with both commitment and trust. Tangibility has a significant positive relationship with trust only. Both commitment and trust have a significant impact on loyalty. It was noticed that both commitment and trust act as mediators between three SQ dimensions (assurance, empathy and responsiveness) and CL. MGA revealed that empathy and responsiveness positively induce trust in telecom users who are single. Whereas, assurance increases commitment toward telecom service providers in married users. Assurance and empathy significantly contribute toward commitment and trust, respectively, in male users as compared to females. Empathy was found important for postpaid users for trust-building, whereas trust was found to be more important for prepaid users to stay loyal to the service provider.

This article contributes toward understanding the role of SQ, trust and commitment to CL moderated by marital status, gender and connection type in an integrated model concerning telecom service.

This study aims to explore the links among supplier relationship (SR), customer relationship (CR) and supply performance (SP): cost, flexibility, partnership and responsiveness for manufacturing sector in Thailand.

Having extensively reviewed literature, the survey instruments were proposed and validated by experts and statistical techniques. Path analysis of structural equation modeling was used to assess the hypotheses.

It revealed that CR has significant positive direct effects on every SP construct. SR has a significant positive direct effect on CR but has no significant positive effects on SP. However, SR has significant positive total effects and indirect effects on every SP through CR.

This study presents insights into the arguments about the links among SR, CR and SP. SR should not be introduced alone. It should be applied together with CR to improve SP.

Despite a growing literature on strategic partnerships, little attention has been paid to the way public‐private partnerships (PPPs) manage their relationships with their environments. Using a stakeholder approach, we specify how a large international public‐private partnership was able to endure over a period of 24 years in spite of a particularly challenging societal environment in a Latin American country. We identify sustainability mechanisms and discuss their implications for managing a PPP.