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Although the challenges associated with big data are increasing, the question of the most suitable big data analytics (BDA) platform in libraries is always significant. The purpose of this study is to propose a solution to this problem.

The current study identifies relevant literature and provides a review of big data adoption in libraries. It also presents a step-by-step guide for the development of a BDA platform using the Apache Hadoop Ecosystem. To test the system, an analysis of library big data using Apache Pig, which is a tool from the Apache Hadoop Ecosystem, was performed. It establishes the effectiveness of Apache Hadoop Ecosystem as a powerful BDA solution in libraries.

It can be inferred from the literature that libraries and librarians have not taken the possibility of big data services in libraries very seriously. Also, the literature suggests that there is no significant effort made to establish any BDA architecture in libraries. This study establishes the Apache Hadoop Ecosystem as a possible solution for delivering BDA services in libraries.

The present work suggests adapting the idea of providing various big data services in a library by developing a BDA platform, for instance, providing assistance to the researchers in understanding the big data, cleaning and curation of big data by skilled and experienced data managers and providing the infrastructural support to store, process, manage, analyze and visualize the big data.

The study concludes that Apache Hadoops’ Hadoop Distributed File System and MapReduce components significantly reduce the complexities of big data storage and processing, respectively, and Apache Pig, using Pig Latin scripting language, is very efficient in processing big data and responding to queries with a quick response time.

According to the study, there are significantly fewer efforts made to analyze big data from libraries. Furthermore, it has been discovered that acceptance of the Apache Hadoop Ecosystem as a solution to big data problems in libraries are not widely discussed in the literature, although Apache Hadoop is regarded as one of the best frameworks for big data handling.

While the obstacles of archiving endangered languages are significant, the question of which platform is best for building a digital language archive is constantly present. The purpose of this study is to evaluate and analyse digital language archives development platforms, such as content management systems (CMSs), digital repositories and archival collections management systems (ACMSs) using parameters that have been specified. The authors selected Mukurtu CMS, which is based on Drupal CMS; DSpace as the digital repository software; and ArchivesSpace as an ACMS in this study.

The current research is supported by a study of the literature and a detailed exploration of different systems used to develop digital language archives. The whole research is carried out in three steps: literature searching; identification of relevant literature; and parameter identification, exploration of tools and data reporting and analysis.

Following the technical and feature analysis of these tools, it can be concluded that they are more or less comparable, as well as constantly evolving, updating and having a bigger community base. It may be determined that DSpace is the most popular platform, but the other two, particularly ArchivesSpaces, are fierce competitors.

This study outlines the technical prerequisites for creating a digital language archive, which will be useful to IT personnel working on these projects. The research is also useful for tool developers as it allows them to incorporate missing functionality and technical standards by comparing them to alternatives. The parameters established in this study can be used for similar studies in other domains, as well as for evaluating existing digital language archives.

The findings of this study have broad practical implications, and they can assist archivists, linguists, language communities and library and information science professionals in choosing an appropriate platform for building a digital language archive.

This study finds that there is relatively little effort made towards reviewing digital language archiving and the systems that are used to do it; thus, this study is carried out to assess and analyse digital language archive creation systems based on defined parameters. The parameters were discovered through a combination of the available literature and tool discovery. Using a parametric approach to evaluate tools yields unique insights and quickly reveals system flaws.

The case has the following learning objectives: to understand the dilemmas that an emerging market MNC faces during pre-and post-acquisition scenarios; understand and appreciate the basic tensions that arise when two different companies with different cultural setups are integrated; understand the importance of creating a culture integration road map to leverage the synergies of two successful companies; and understand the role of leadership in leading and managing change.

Asian Paints Ltd. has been a market leader in the Indian paint market for over five decades (since 1967). Over the years, starting in 1978, the company has steadily spread its footprint in the international arena as well. As of 2017, Asian Paints was a leader in 10 overseas markets, one of the top 3 paint companies in the Middle East, the largest paint manufacturing company in South Asia, and served 60 markets across the world. The international business contributed to around 12% of the company’s group turnover. In line with its long-term vision and to consolidate its presence in emerging markets, the company acquired Causeway Paints, a leading paint company in Sri Lanka, in April 2017. Asian Paints had a presence in Sri Lanka since 1999. Mr. Jatin Upadhyay, International Business Unit Head for Asian Paints, had played significant roles in the past in such acquisitions and was well aware of the impending challenges that came with such acquisitions. How would the integration of the two distinct entities be made possible without losing the overarching objective? How would the transition be managed? How would the cultural transition take place? What and how would the role be handled by the General Manager (GM) of Causeway Lanka? How would the new organisational structure support the transition? The case illustrates the complex management challenges that arise when a leading enterprise from a different country (Asian Paints) acquires a leading company in a different country, in this case, Causeway Paints, Sri Lanka.

The target audience for this case study is the students pursuing a post-graduate programme in management or an executive post-graduate programme in management. The case can also be used for management development programmes for experienced participants who are interested in understanding the possible scenarios that may arise after an acquisition when managing an international subsidiary in a different cultural setting.

Teaching notes are available for educators only.

CSS 6: Human Resource Management.

The support structures of sacrificial material are built in deposition-based additive manufacturing (AM), which are later removed either by breaking or dissolving. Such a sacrificial material is not feasible in metal AM. The purpose of this study is to find a suitable method for eliminating the need of support mechanism. In this work, the authors use the tilting of the substrate to alleviate the need for the support mechanism altogether.

As in the traditional AM, the object is grown in horizontal layers. However, wherever undercuts are encountered, the substrate is tilted appropriately to capture the droplets. Such a tilt involves two rotary axes invariably. To conform to the slice geometry, these two tilts are accompanied by the three linear movements. Thus, the object with undercuts is grown in planar layers using five-axis deposition without any support structure. Each pair of the corresponding top and bottom contours of any slice defines a ruled surface. The axis of the deposition head will be aligned with the rules of this surface.

The need for the support mechanism was eliminated using five-axis deposition. This was experimentally demonstrated by building an aluminum impeller using a metal inert gas cladding head.

In the proposed methodology, the objects with an abrupt change in the geometry are not possible to realize.

This manuscript proposed a novel method of eliminating the support mechanism through continuous five-axis deposition.

The detrimental influence of perceived work–family conflict (WFC) on employees' job-related attitudes has been examined in individualistic cultures. However, this relationship needs to be studied in collectivist societies, where the “family” is a salient social institution with family-centric work ethics. This study empirically investigates the role of nurturant task leadership (NTL) behavior in attenuating (1) the negative direct effect of perceived WFC on job satisfaction and (2) the negative indirect effect of perceived WFC on job satisfaction, mediated through affective commitment (AC) on a sample of employees from a public sector bank in India.

The study adopts a cross-sectional research design, and the data were collected from 244 executives working in the banking sector of India. The direct, indirect and moderated effects were analyzed using ordinary least squares (OLS) regression.

NTL behavior was found to moderate the negative direct relationships between perceived WFC and job satisfaction as well as the negative indirect relationship between perceived WFC and job satisfaction, mediated through AC.

The study contributes to existing literature on WFC by introducing an important boundary condition in NTL behavior, thus providing impetus to further research in this direction through research designs that allow for causal inference and generalizability.

Findings from this study can provide useful pointers to organizations dealing with employee performance challenges owing to WFC. Results indicate that leaders who exhibit NTL behavior are more likely to attenuate the negative influence of WFC on employee attitudes and performance.

This study is among the first empirical examination of the effectiveness of NTL behavior in mitigating the negative effects of perceived WFC on job satisfaction.

Teacher effectiveness has been a matter of concern not only for the parents and students but also for the policy makers, researchers, and educationists. Drawing from the “self-efficacy” theory (Bandura, 1977), the purpose of this paper is to explore the relationship between teacher self-efficacy and teacher effectiveness. In addition, it explores the role of collaboration among teachers and principal leadership in explaining the above relationship.

Data were collected from 575 secondary school teachers and 6,020 students representing grade 6-12th from 25 privately owned schools in India. Teacher self-efficacy, collaboration and principal leadership were reported by the teachers whereas effectiveness of each teacher was captured from around ten students each who were taught by the corresponding teacher. Data were analyzed using SEM-PLS.

Results confirmed a positive association between teacher self-efficacy and the three dimensions of teacher effectiveness, namely, teacher’s delivery of course information, teacher’s role in facilitating teacher-student interactions, and teacher’s role in regulating students’ learning. Results also confirmed that both collaboration and principal leadership are positively related to teacher self-efficacy.

The results of the study indicate that schools need to focus on enhancing self-efficacy of their teachers and give importance to teacher collaboration and principal leadership in order to improve their effectiveness in terms of delivery of instruction, teacher-student interactions, and regulating student learning.

An electrical power distribution network is expected to deliver uninterrupted power supply to the customers. The disruption in power supply occurs whenever there is a fault in the system. Therefore, fast fault detection and its precise location are necessary to restore the power supply. Several techniques are proposed in the past for fault location in distribution network but they have limitations as their fault location accuracy depends on system conditions. The purpose of this paper is to present a travelling wave-based fault location method, which is fast, accurate and independent of system conditions.

This paper proposes an effective method for fault detection, classification and location using wavelet analysis of travelling waves for a multilateral distribution network embedded with distributed generation (DG) and electric vehicle (EV) charging load. The wavelet energy entropy (WEE) is used for fault detection and classification purpose, and wavelet modulus maxima (WMM) of aerial mode component is used for faulted lateral identification and exact fault location.

The proposed method effectively detects and classifies the faults, and accurately determines the exact fault location in a multilateral distribution network. It is also found that the proposed method is robust and its accuracy is not affected by the presence of distributed generation and electric vehicle charging load in the system.

Travelling wave based method for fault location is implemented for a multilateral distribution network containing distributed generation and electric vehicle load. For the first time, a fault location method is tested in the presence of EV charging load in distribution network.

As the world continues to urbanise, cities face increasing pressure to become more sustainable, efficient and livable. Sustainable smart cities are emerging as a promising solution to this challenge, leveraging technology and data to improve urban systems and services while reducing environmental impact. This chapter provides an overview of the concept of sustainable smart cities and its implications for urban development. It explores the key features of sustainable smart cities, including their focus on technology, data and citizen engagement and the challenges they are facing in terms of infrastructure, data management, social equity, environmental sustainability, governance and regulations. The chapter also highlights the implications of sustainable smart cities for urban planners, policymakers and other stakeholders, emphasising the need for collaborative approaches that engage citizens and stakeholders in the design and implementation of smart city initiatives.

The banking sector requires a major comeback with the series of bank frauds that has shook the nation. The rising non-performing assets (NPAs) and corporate frauds find their roots in the top-level management or executive levels. The purpose of this study to analyse the behavioural component with corporate governance lapses for creating a trail and to what extent it can contribute to forensic analysis to help reduce and prevent fraud in the future.

This study is investigative in nature. This study uses case study approach by taking into account the major Advance–NPA–Fraud cases over period of 2010–2022. RBI data for bank advances, NPAs and advances-relate frauds from 2005 to 2019 were studies and interpreted for creating a trend and pattern for the reduction and prevention of frauds.

The authors found that behavioural factors and personalities affect the systems and culture of the company, thereby giving a jolt to the corporate governance mechanisms along with various entities like depositors, consumers and shareholders.

Assessing the behavioural aspects for risk mitigation remains unexplored in the banking sector. The personality dimension can help in contributing to comprehending the mental aspects and the reasons behind the combination of dark triads with economic offences.

This study is beneficial to all the beneficiaries of the banking sector and the economy at large in understanding the implications of risks because of patterns formed by emotions and vulnerability towards economic and fugitive economic crimes.