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Industry 5.0 (I5.0) is eventually set to supersede Industry 4.0 (I4.0), despite the fact that I4.0 continues to gain ground in emerging nations like India. Now India is aspiring to be a global manufacturing hub, and I5.0 offers enormous potential to position India as a forerunner in intelligent and collaborative manufacturing systems. Therefore, this research article aims to understand the relationship between I5.0 and sustainable manufacturing (SM) thoroughly; pinpoint its impact and implementation challenges; analyze its impact on Triple-Bottom-Line (TBL) sustainability; and present an inclusive framework for I5.0 implementation for Indian manufacturing enterprises.

The coexistence of two industrial revolutions raises questions, which necessitates debates and explanations. Thus, the systematic literature review (SLR) approach is used to address this issue and this study used Web of Science, Scopus, Science Direct and Google Scholar databases. Following a critical SLR, 82 research papers have been cited in this article, and the majority of cited articles were published from 2010 to 2022, to ensure a focused analysis of pertinent and recent scholarly contributions.

I4.0 is considered to be technology-driven, however, I5.0 is perceived to be value-driven. I5.0 is not a replacement or a chronological continuation of the I4.0 paradigm. The notion of I5.0 offers a distinct perspective and emphasizes the necessity of research on SM within the TBL sustainability boundaries. I5.0 introduces a new TBL: resilience in value creation, human well-being and sustainable society. Indeed, I5.0 seems to be economically, socially, and environmentally sustainable while manufacturing products with high productivity.

Theoretical implications pertain to restructuring business models and workforce transformation, whereas practical implications underscore the significance for manufacturing enterprises to embrace I5.0 for their sustainable development. By understanding the nuanced relationship between I5.0 and SM, enterprises can navigate implementation challenges, maximize TBL sustainability and embrace an inclusive I5.0 framework for high productivity and resilience.

The existing literature presents the general notion of I5.0 but lacks in-depth TBL sustainability analysis. This research used a systematic and rigorous SLR approach that evaluates the existing literature, enables an in-depth understanding, identifies research gaps and provides evidence-based recommendations for the decision-making process. Furthermore, this research aims to stand on an unbiased assessment, exploring theoretical and practical implications of I5.0 implementation for manufacturing enterprises and suggesting future research avenues.

This paper aims to investigate the current state of biocomposites used in fused deposition modelling (FDM) with a focus on their mechanical characteristics.

The study presents a variety of biocomposite materials that have been used in filaments for 3D printing by different researchers. The process of making filaments is then described, followed by a discussion of the process parameters associated with the FDM.

To achieve better mechanical properties of 3D-printed parts, it is essential to optimize the process parameters of FDM while considering the characteristics of the biocomposite material. Polylactic acid is considered the most promising matrix material due to its biodegradability and lower cost. Moreover, the use of natural fibres like hemp, flax and sugarcane bagasse as reinforcement to the polymer in FDM filaments improves the mechanical performance of printed parts.

The paper discusses the influence of critical process parameters of FDM like raster angle, layer thickness, infill density, infill pattern and extruder temperature on the mechanical properties of 3D-printed biocomposite.

This paper aims to examine the unintended negative effect of incentivizing shoppers to make unplanned purchases through incentive reminders during shopping trips.

Two experimental studies with between-subject designs were conducted to examine the effect of incentive reminders and related factors on abandonment intention.

When the search for unplanned purchases needed to reach promotional threshold fails, shoppers’ propensity to abandon a transaction increases if they are reminded of an incentive during their shopping trip. When the size of the planned purchases is relatively larger than the incentivized unplanned purchases, abandonment propensity is higher in response to reward type incentives, whereas when the size of the planned purchases is relatively smaller than the incentivized unplanned purchases, abandonment propensity is higher in response to avoidance type incentives.

This research intersects and integrates several research domains, specifically transaction abandonment, promotional reactance, unplanned purchases and promotion framing.

Findings from this research help managers understand the possible negative consequences of incentive reminders and offer suggestions for decreasing shopper propensities to abandon transactions in response to incentive reminders aimed at increasing transaction sizes.

This is the first study to highlight (i) the possible effect of incentive reminders on transaction abandonment; (ii) the influence of the size of unplanned purchases and incentive types on abandonment; and (iii) the underlying roles of perceived value of planned purchases and fairness perceptions in abandonment.

After completion of the case study, students will be able to understand key stakeholders’ current and future role in a family business using techniques like Gersick 3 Axes Model, understand the power dynamics in a family business, understand the power struggles seen in the family business and understand the challenges in the implementation of a deed of family settlement (DFS) with multiple stakeholders.

Kirloskar group was established in 1888 by Laxmanrao Kirloskar. He started with farm manufacturing equipment and later diversified into various kinds of engine manufacturing units. Kirloskar Group today is an Indian conglomerate multinational company with its headquarters in Pune, Maharashtra; India exports to more than 70 countries, most of which are from Africa, Southeast Asia and Europe. The group was managed as a cohesive unit until Chandrakant Kirloskar was at the helm as the chairman. Each brother’s family was managing a business and companies in the fold in which they started. The Kirloskar Group had first split in 2000 when Bengaluru-based Vijay Kirloskar (Ravindra Kirloskar’s son, fourth son of Laxmanrao Kirloskar) moved out of the group with Kirloskar Electrical while the Pune-based Kirloskar brothers moved out with Kirloskar Oil Engine Engines, Kirloskar Brothers, Kirloskar Pneumatics and related subsidiaries. In 2009, a DFS was signed among the family members, including a noncompete clause against each other regarding the usage of the Kirloskar brand name and the tagline “Kirloskar Enriching Lives.” The current dispute started in 2020 when first Vijay filed a suit against his nephews regarding illegal usage of the Kirloskar brand name for the companies not eligible to use it and second when Sanjay Kirloskar also filed a similar lawsuit against his brothers for illegally using the brand name and violating the noncompete clause. The high court, in its judgment, sent the case for arbitration, but Sanjay approached the Supreme Court of India regarding the stipulated arbitration process. With both sides taking a hard stance, there did not seem to be a quick resolution to this dispute.

This case study is suitable for both undergraduate and postgraduate level in entrepreneurship course and family business course.

CSS 3: Entrepreneurship

Teaching notes are available for educators only.

Lack of access to finance is one of the major contributing to low profitability in agriculture. Various policy interventions were performed for promoting access to finance. However, access to finance always remained one of the biggest challenges to Indian policymakers. The purpose of this paper is to explore the policy interventions in the areas of agriculture finance.

This paper makes an attempt to explore the relation of earlier policy initiatives with the current microfinance industry as well. The data for the paper are collected from Reserve Bank of India Archive Museum at Pune. This Museum is having huge collection of archives of policy documents of the Indian financial sector and is one of its kinds in India.

The study concludes that many of the interventions of today were earlier experimented or proposed in the past but, due to some or the other reason those, interventions were not successful. The study concludes that if those interventions had been implemented that time, it would have taken India in one of the tops in the list of financial inclusion.

This paper is a unique in its feature as it has tried to link the evolution of agriculture finance and the microfinance industry of India as microfinance is an integral part of agricultural finance in India.

Aims to describe the key role of human resource management (HRM) in providing a better workplace environment to women employees at NobelTek, India, thereby stemming attrition and increasing employee satisfaction.

Describes how a few simple changes made by HR managers to the workplace layout and design can make a tremendous difference to the life of women, especially expectant mothers. Draws on interviews with the company management team and the author’s observations.

Shows that, quite often, poorly designed workplaces mean that women cannot deliver to their full potential. HRM can play a key role in improving this.

Reveals how HRM’s interventions led to employees continuing to contribute to software-development projects and managing their own health and well-being simultaneously. This means that the talent and experience of women employees remain available to the company.

Research shows that many women withdraw from the formal economy, either temporarily or permanently, when they become mothers, or are about to become mothers. HRM can play a crucial role in ensuring that women stay in employment longer and continue to contribute to the economy during their pregnancy. This not only benefits the company but also the economy and society as a whole.

Considers the context of expectant mothers working in the software industry. Provides insights into how the challenges faced by expectant mothers can be reduced and overcome by well-designed and implemented HRM practices.

The purpose of this paper is to assess the expectation and perception of the users of a library of reputed special academic institute in India on quality of library services. The paper is an effort to identify a service gap within five SERVQUAL dimensions rated by the library users.

The study was conducted through a survey methodology. The survey was implemented through a questionnaire based on five SERVQUAL dimensions. The data were collected by using 22 attributes of SERVQUAL for user expectations and perceptions of special academic institute library, and the gap score between expectation and perception of users was calculated. Based on the expectation mean score and gap score of each attributes, the researchers have identified the service shortfall in five SERVQUAL dimensions.

The result of the study indicates that there is an overall service quality (SQ) gap in services provided by institute library. However, the library is providing relatively satisfactory services to the faculty, but it needs to enhance up to the expectation level of its services to their registered participants. From the study, the average expectation score is very high and it indicates that users expect more from the institute library, particularly in Reliability and Tangibles dimensions. Out of the total 22 SERVQUAL attributes, the result reflects that 10 SERVQUAL attributes have high expectation and high service gap.

This paper will assist libraries to improve their library services, particularly in special academic training libraries. Determining SQ has been originated from marketing discipline that has progressively shown its value in the discipline of library and information science profession. This study contributes to the emergent body associated with SQ measures in libraries. Expectation-service gap chart and expectation-service gap grid are the major contribution and rarely found in SERVQUAL literature.

Rising energy demand and the quest for achieving climate change targets have been pushing emerging markets like India to bolster the natural gas share in their energy mix. The country has set an aggressive target of increasing natural gas share in the energy mix to 15% by 2030. The purpose of this study is to acknowledge the need for adopting and developing strategies for natural gas business market development to ensure a reliable supply at an affordable price. Hence, this study explores the natural gas market business development strategies and assesses them through cause/effect analysis.

This study proposed an integrated framework based on the Grey concept and Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique to assess and determine the interdependence among the natural gas business market development strategies by cause-and-effect group analysis. The application of Grey theory reduced the uncertainty and subjectivity involved in the decision-making process. Later, sensitivity analysis is also performed to check the robustness of the framework.

The natural gas business market development strategies are identified through a systematic literature search and contributions from industry experts. The findings of this study highlight the importance of developing pipeline and storage infrastructure facilities, ensuring supply security through long-term imports and overseas investment, implementing free-market-based pricing, simplification and standardization of regulatory processes at state and national levels, etc., for the development of the natural gas market development in India.

This study acknowledges the natural gas market development strategies and evaluated them into cause-and-effect groups which are limited to Indian context. All evaluations in the Grey-based DEMATEL method were made in this study based on the decision team inputs which limits the generalization to other geographies. Moreover, the opinions of the experts can be subjective and differ. The selection of the experts is done through non-probability sampling process.

This study could support the government and decision-makers in formulating the appropriate strategies to develop the domestic natural gas market. The cause-and-effect relationships are helpful for the companies, management, government, regulators and other stakeholders to understand the criticality of the causal strategies that must be implemented for developing the favorable natural gas business market scenario.

This study explores and evaluates the strategies that successfully bolster the natural gas business demand in India using Grey-based DEMATEL framework. By focusing on those critical strategies, relevant stakeholders would ensure a reliable natural gas supply at affordable prices.

This study delves into the challenges obstructing the integration of blockchain-enabled smart contracts (BESC) in the construction industry. Its primary objective is to identify these barriers and propose a roadmap to streamline BESC adoption, thereby promoting sustainability and resilience in building engineering.

Employing a unique approach, this study combines the Technology-Organization-Environment-Social (TOE + S) framework with the IF-Delphi-HF-DEMATEL-IFISM methodology. Data is collected through surveys and expert interviews, enabling a comprehensive analysis of BESC implementation barriers.

The analysis reveals significant hindrances in the construction industry’s adoption of BESC. Key obstacles include economic and market conditions, insufficient awareness and education about blockchain technology among stakeholders, and limited digital technology integration in specific cultural and societal contexts. These findings shed light on the complexities faced by the industry in embracing blockchain solutions.

The research makes a significant contribution by combining the TOE + S framework with the IF-Delphi-HF-DEMATEL-IFISM methodology, resulting in a comprehensive roadmap to address barriers in implementing BESC in Sustainable Construction Projects. Noteworthy for its practicality, this roadmap provides valuable guidance for construction stakeholders. Its impact extends beyond the industry, influencing both academic discourse and practical applications.

This work can be used as a building block in other settings such as GPU, Map-Reduce, Spark or any other. Also, DDPML can be deployed on other distributed systems such as P2P networks, clusters, clouds computing or other technologies.

In the age of Big Data, all companies want to benefit from large amounts of data. These data can help them understand their internal and external environment and anticipate associated phenomena, as the data turn into knowledge that can be used for prediction later. Thus, this knowledge becomes a great asset in companies' hands. This is precisely the objective of data mining. But with the production of a large amount of data and knowledge at a faster pace, the authors are now talking about Big Data mining. For this reason, the authors’ proposed works mainly aim at solving the problem of volume, veracity, validity and velocity when classifying Big Data using distributed and parallel processing techniques. So, the problem that the authors are raising in this work is how the authors can make machine learning algorithms work in a distributed and parallel way at the same time without losing the accuracy of classification results. To solve this problem, the authors propose a system called Dynamic Distributed and Parallel Machine Learning (DDPML) algorithms. To build it, the authors divided their work into two parts. In the first, the authors propose a distributed architecture that is controlled by Map-Reduce algorithm which in turn depends on random sampling technique. So, the distributed architecture that the authors designed is specially directed to handle big data processing that operates in a coherent and efficient manner with the sampling strategy proposed in this work. This architecture also helps the authors to actually verify the classification results obtained using the representative learning base (RLB). In the second part, the authors have extracted the representative learning base by sampling at two levels using the stratified random sampling method. This sampling method is also applied to extract the shared learning base (SLB) and the partial learning base for the first level (PLBL1) and the partial learning base for the second level (PLBL2). The experimental results show the efficiency of our solution that the authors provided without significant loss of the classification results. Thus, in practical terms, the system DDPML is generally dedicated to big data mining processing, and works effectively in distributed systems with a simple structure, such as client-server networks.

The authors got very satisfactory classification results.

DDPML system is specially designed to smoothly handle big data mining classification.