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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.

This chapter aims to make sense of the growing research that examines the role of culture in mergers and acquisitions. We provide a detailed review of the many related but distinct constructs that have been introduced to the literature. While each construct has contributed to our understanding of the role of culture, the lack of connections made among constructs has limited the consolidation of contributions. The review shows what these constructs mean for mergers and acquisitions, what major findings have been discovered, and, most importantly, how constructs interrelate. Our discussion provides several opportunities to foster the needed consolidation of this research.

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.

To resolve an inherent dilemma in extant research on geographically dispersed research and development (R&D), this study explores interdependencies between formal and informal network structures. Firms that seek to benefit from the decentralization associated with disperse R&D must align it with an informal structure that enhances organizational members’ motivation to share and assimilate their unique knowledge and skills. On the basis of an investigation among 424 US biotechnology firms between 1973 and 2003, this study reveals the moderating effect of the firm’s informal social structure on the effect that geographically dispersed R&D personnel have on the exploration of new technological opportunities. Specifically, the higher the social network density among R&D members, the more likely geographic disparity is to affect exploration; however, this likelihood decreases with an increase in power asymmetries. These results offer insights into the conditions in which the appropriate management of geographically dispersed R&D varies.