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Project complexity (PC) governs project success, but the project management literature primarily focuses on performance measures and rarely examines the complexity factors, especially for megaprojects. This paper aims to determine the most significant complexity factors for the railway megaprojects in India.

A mixed approach using the Delphi and best–worst method (BWM) helped to identify, validate and determine the most critical factors that require intervention to diminish variance from project performance.

The BWM resulted in stakeholder management, followed by organizational and technological complexity as significant complexity factors, and the varied interests of the stakeholder as the most important among the 40 subfactors.

The finding indicates the necessity for strategic, tactical and operational-level interventions to effectively manage the complexity affecting project efficiency because of the varied stakeholders. This paper will guide the project and general managers to prioritize their resources to handle complexity for effective project performance measured in terms of time, cost and quality and help them make strategic decisions. The research findings of this study are expected to help researchers and practitioners in better planning and smoother execution of projects. In addition, this study would help the researchers formulate policies and strategies for better handling of the projects.

This study adds significant value to the body of knowledge related to PC in megaprojects in developing countries. The result of the investigation underlined that nine complexity factors and seven unique subfactors, namely, the sustainable environment, timely availability of information, communication in both directions, interdepartmental dependency and coordination, design, statutory norms, site challenges, socioeconomic conditions, the tendency of staff to accept new technology and the frequent changes in the requirements of stakeholders are significant in railway megaprojects. The BWM is applied to rank the complexity factors and subfactors in the case area.

The advent of Internet of Things, cloud computing and advanced computing has endowed smart manufacturing environments with resilience, reconfigurability and intelligence, resulting in the emergence of novel capabilities. These capabilities have significantly reshaped the manufacturing ecosystem, enabling it to effectively navigate uncertainties. The purpose of this study is to assess the operational transformations resulting from the implementation of smart manufacturing, which distinguish it from conventional systems.

A list of qualitative and quantitative smart manufacturing performance metrics (SMPMs) are initially suggested and categorized into strategic, tactical and operational levels. The SMPMs resemble the capabilities of smart manufacturing systems to manage disruptions due to uncertainties. Then, industry and academia experts validate the SMPMs through the utilization of the Delphi method, enabling the ranking of the SMPMs.

The proposition of the SMPMs serves as a metric to assess the digital transformation capabilities of smart manufacturing systems. In addition, the ranking of the proposed SMPMs shows a degree of relevance of the measures in smart manufacturing deployment and managing the disruptions caused due to the COVID-19 pandemic

The findings benefit managers, consultants, policymakers and researchers in making appropriate decisions for deploying and operationalizing smart manufacturing systems by focusing on critical SMPMs.

The research provides a metric to assess the operational transformations during the deployment of smart manufacturing systems. Also, it states the role of the metric in managing the potential disruptions that can alter the performance of the business due to the COVID-19 pandemic.

The case aims to deal with multigenerational entrepreneurship. The family business of sports goods was initiated by Yashpal Aggarwal and his friends in the 1950s. Yashpal acquired the art of doing business and started initially with trading of sporting goods in Mumbai. Yashpal had three sons, Ashok, Ashwini and Rajesh, who ventured into sports trading business as well. After the demise of Yashpal, Ashok shifted to Jalandhar and started a manufacturing unit, producing roller skates. Ashwini, being entrepreneurial and innovative, had always desired to professionalise the business and hence started with Okini Sports. Okini Sports emerged as the first organised professional sports mall in India.

Based on case research, individual interviews at different levels, testing the case several times and filling the case gaps during the process to authenticate information, multiple sources of information have been used.

Businesses largely compete on the basis of available talent, competency and capability. Family businesses must be open to induct competent people within the family with the required skills to lead the company. If a family nurtures a member with requisite skills, values, to keep shareholders, key customers, and suppliers loyal to the business, then family leadership is the best option. As the business grows in dimension, differential capabilities are required to run the business competitively, hence, inducting talented individuals as professionals is a better option. A family must be realistic about the talents available internally.

This case is restricted to sports family business entrepreneurship in the context of India, but has a great learning towards multigenerational entrepreneurship.

The case is original with the family in its fourth generation, the youngest looking to diversify and professionalize the business, set his family dreams of setting up the biggest sports mall in India.

In today's advanced economy, there is a broader presence of information revolution, such as artificial intelligence (AI). AI primarily drives modern banking, leading to innovative banking channels, services and solutions disruptions. Thus, this chapter intends to determine AI's place in contemporary banking and stock market trading.

Stock market forecasting is hampered by the inherently noisy environments and significant volatility surrounding market trends. There needs to be more research on the mantle of AI in revolutionising banking and stock market trading. Attempting to bridge this gap, the present research study looks at the function of AI in banking and stock market trading.

The researchers have synthesised the literature pool. They undertook a systematic review and meta-synthesis method by identifying the major themes and a systematic literature review aided in the critical analysis, synthesis and mapping of the body of existing material.

The study's conclusions demonstrated the efficacy of AI, which has played a robust role in banking and finance by reducing risk and operational costs, enabling better customer experience, improving regulatory complaints and fraud detection and improving credit and loan decisions. AI has revolutionised stock market trading by forecasting future prices or trends in financial assets, optimising financial portfolios and analysing news or social media comments on the assets or firms.

AI's debut in banking and finance has brought sea changes in banking and stock market trading. AI in the banking industry and capital market can provide timely and apt information to its customers and customise the products as per their requirements.

The purpose of this paper is to investigate and analyze the challenges of quality skill development in complex and large economies like India and develop innovative processes of improving employability.

The problem areas and gaps have been identified through literature survey and published reports by governmental agencies on employability and quality skill development in India. The research focuses on prevalent challenges for large-scale skill development and utilizes TRIZ (Russian acronym for “Theory of Inventive Problem Solving”) for finding innovative solutions to the grand challenge of employability.

The applied research methodology in the paper leads to a model for the “Innovation driven ecosystem for quality skill development” and also defines the role and responsibilities of each stakeholders in the ecosystem.

Solutions derived through TRIZ are qualitative in nature. The actual implication of solution needs to be tested after implementation. Further, intangible costs incurred, and harmful and useful effects cannot be easily quantified.

The parameter mapping for the TRIZ matrix was undertaken in this paper and this methodology when applied to other problem statements renders an organized process for improving total quality and innovative process management. The inventive principles were applied to find solution to contradictions and arrive at an integrated ecosystem which binds all stakeholders efficiently, to generate higher employability. The innovative solutions derived through the process are applicable to policy makers, researchers and practitioners.

The process of improving employability through quality skill development, benchmarked by the TRIZ methodology can have far reaching social implications.

The research extends the body of knowledge of TRIZ modeling concepts in areas other than engineering, and depicts a unique total quality methodology which can be easily applied for other problem-solving contexts. The contribution can serve as a reference technique/tool for improving reliability and quality through a methodical process of working out innovative solutions to solve operational problems.

Cummins Generator Technologies India Limited (CGTIL) was in the process of setting up a world-class factory at Ranjangaon based on “lean” production principles. The project team, however, went a step ahead and married “green” with “lean”. While lean is about taking the system inefficiencies out, the green is about harmony with nature. The case is about CGTIL's journey of deriving synergies between seemingly conflicting objectives of lean and green.

The purpose of this paper is to identify the causal relationship between the independent variables such as process quality and product innovation in regard to the dependent variable of competitiveness, in the manufacturing sector of the automotive industry, specifically for Tier 1 auto parts manufacturing companies in the state of Nuevo León, México.

Based on a thorough review of the literature, an instrument was designed to measure the competitiveness of automotive industry manufacturing; it was applied to Tier 1 suppliers of automotive parts in the state of Nuevo León, México. Various statistical analysis tests were applied to the results; first, Cronbach's alpha to determine the reliability of the instrument, and next, a factor analysis to measure construct validity. In addition, a multiple linear regression analysis was carried out to identify the causal relationships between the variables analysed.

This study found that process quality as well as product innovation have independent and positive causal relationships with respect to competitiveness in automotive manufacturing.

The limitations of this paper are its focus on a single manufacturing sector, application in a single country and small sample size.

Companies that supply automotive parts will be able to invest in the key elements of quality and innovation while focusing their efforts on reinforcing their competitiveness.

Auto parts suppliers will be able to perform specific actions to improve their quality processes through lean manufacturing and quality assurance practices and by designing new and innovative products that will enhance their competitiveness.

The purpose of this paper is to know-how the university libraries are managing online databases, especially from the Maharashtra state of India. The focus is to study the difficulties and challenges faced by the university librarians.

In this descriptive research, survey of 15 university libraries was conducted. Seven universities are subscribing online databases apart from databases accessible under national consortia. A comprehensive questionnaire comprised of 16 sections and total 47 questions was designed for data collection. Personal contacts helped to a great extent to get back the questionnaire.

The study revealed that the university librarians are trying to cope up with the management of electronic resources. Major challenges are unawareness about the life cycle of electronic resources, lack of standard procedures, collection development and preservation policies, failed to conduct user information need surveys, negotiation skills, competencies of staff and so on.

The scope of the present research was to study the current practices of management of online databases subscribed by the university libraries in Maharashtra. Other types of electronic resources were not considered in the present study. It was found that out of 15 universities only seven universities subscribe the online databases apart from the databases provided by UGC-INFONET. Therefore, the data from these seven libraries were considered for analysis.

This study will provide the guidelines for managing online databases in academic libraries.

Very few studies are conducted to study the management of online databases by university librariesin India.