Kumar Srinivasan, Vineet Kumar Yadav, Anish Kumar, Balaganesh Margabandu, Janish Selvaraj and Anshu Kumar
This paper aims to assist managers and food supply chain practitioners in efficiently implementing lean and green (LG) practices for sustainability. Examining barriers to LG…
Abstract
Purpose
This paper aims to assist managers and food supply chain practitioners in efficiently implementing lean and green (LG) practices for sustainability. Examining barriers to LG practices, as well as prioritizing mitigation strategies in the food supply chain, are all part of this work.
Design/methodology/approach
Using a combination of literature review and expert team inputs, this paper investigated the LG barriers and their solutions under PESTEL (Political, Economic, Social, Technological, Environmental and Legal) framework. To prioritize them, this work used the fuzzy best worst method (fuzzy BWM) with the fuzzy technique for order preference by similarity to ideal solution (FTOPSIS).
Findings
From the fuzzy BWM, the economic barriers were identified as the most significant. From the FTOPSIS approach, top management expertise and commitment to adopting LG practices were identified as the best solution for overcoming the barriers.
Practical implications
This paper discusses the barriers and solutions for successfully implementing LG techniques from the real-time food supply chain. The practitioners and food chain managers welcomed the methodology for its use in prioritizing the barriers to LG practices. Conclusions drawn from this work were found to be realistic.
Originality/value
The original contribution of this study is to present the model framework for barriers and solutions of LG practices in the dairy supply chain using the hybrid MCDM technique.
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Kumar Srinivasan, Parikshit Sarulkar and Vineet Kumar Yadav
This article aims to focus on implementing Lean Six Sigma (LSS) in steel manufacturing to enhance productivity and quality in the galvanizing process line. In recent trends…
Abstract
Purpose
This article aims to focus on implementing Lean Six Sigma (LSS) in steel manufacturing to enhance productivity and quality in the galvanizing process line. In recent trends, manufacturing organizations have expressed strong interest in the LSS since they attempt to enhance its overall operations without imposing significant financial burdens.
Design/methodology/approach
This article used lean tools and Six Sigma's DMAIC (Define, Measure, Analyze, Improve and Control) with Yin's case study approach. This study tried to implement the LSS for the steel galvanizing process in order to reduce the number of defects using various LSS tools, including 5S, Value stream map (VSM), Pareto chart, cause and effect diagram, Design of experiments (DoE).
Findings
Results revealed a significant reduction in nonvalue-added time in the process, which led to improved productivity and Process cycle efficiency (PCE) attributed to applying lean-Kaizen techniques. By deploying the LSS, the overall PCE improved from 22% to 62%, and lead time was reduced from 1,347 min to 501 min. DoE results showed that the optimum process parameter levels decreased defects per unit steel sheet.
Practical implications
This research demonstrated how successful LSS implementation eliminates waste, improves process performance and accomplishes operational distinction in steel manufacturing.
Originality/value
Since low-cost/high-effect improvement initiatives have not been adequately presented, further research studies on adopting LSS in manufacturing sectors are needed. The cost-effective method of process improvement can be considered as an innovation.
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Dhanasekar R, Ganesh Kumar Srinivasan and Marco Rivera
The purpose of this study is to stabilize the rotating speed of the permanent magnet direct current (PMDC) motor driven by a DC-DC boost converter under mismatched disturbances…
Abstract
Purpose
The purpose of this study is to stabilize the rotating speed of the permanent magnet direct current (PMDC) motor driven by a DC-DC boost converter under mismatched disturbances (i.e.) under varying load circumstances like constant, frictional, fan type, propeller and undefined torques.
Design/methodology/approach
This manuscript proposes a higher order sliding mode control to elevate the dynamic behavior of the speed controller and the robustness of the PMDC motor. A second order classical sliding surface and proportional-integral-derivative sliding surface (PIDSS) are designed and compared.
Findings
For the boost converter with PMDC motor, both simulation and experimentation are exploited. The prototype is built for an 18 W PMDC motor with field programmable gate arrays. The suggested sliding mode with second order improves the robustness of the arrangement under disturbances with a wide range of control. Both the simulation and experimental setup shows satisfactory results.
Originality/value
According to software-generated mathematical design and experimental findings, PIDSS exhibits excellent performance with respect to settling speed, steady-state error and peak overshoot.
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Over the past 25 years as a marketing academic, I have been fortunate to have collaborated with various researchers and firms and have contributed to the advancement of the…
Abstract
Over the past 25 years as a marketing academic, I have been fortunate to have collaborated with various researchers and firms and have contributed to the advancement of the marketing field. This is a review article that tracks my progress through these years that has led me to explore different areas of marketing, thereby shaping me as a researcher and an academic. As I see now, all of my research work can be viewed from a decision-making point of view – decisions that marketers can make either at the market, brand/firm/store, or the customer level. These decisions have in turn been transformed into strategies or tactics leading up to successful implementations and improved bottom-line results. The development of strategies/tactics and successful implementations can be seen in nearly 10 areas of research that I have involved myself in. This article also highlights how my research studies have contributed and advanced the creation of knowledge in each of these research areas.
Ajai Gaur and Vikas Kumar
Research on internationalization of emerging market firms (EMFs) has received an increasing attention in the international management field. A central argument in a majority of…
Abstract
Research on internationalization of emerging market firms (EMFs) has received an increasing attention in the international management field. A central argument in a majority of these studies is that the internationalization of EMFs is different from that of firms from developed economies, and existing internationalization theories are insufficient to fully explain this new phenomenon. We conduct a critical review of important studies on the internationalization of EMFs to address two related questions. First, is the internationalization of EMFs really a new phenomenon, never been witnessed in the past? Second, does it warrant new theoretical developments? Our review suggests that there are important variations in the internationalization strategies of EMFs and developed economy firms, within EMFs from different emerging economies, and during different time periods. A thorough understanding of motivations, paths, processes, and performances of EMFs does require new theoretical approaches that can take into account the unique aspects of EMFs.
The literature on product design/development (PD) has attempted to understand the consumer but has not provided a comprehensive framework for product marketers and designers…
Abstract
Purpose
The literature on product design/development (PD) has attempted to understand the consumer but has not provided a comprehensive framework for product marketers and designers. Thus, this paper aims to compile and link the main topics in the literature on PD to create a foundation for strategic development in this field.
Design/methodology/approach
This research adopted a “fit-for-purpose” methodology, a cross-referencing method and a meta-narrative approach that are appropriate for reviewing studies in a field involving complex topics and areas in which the literature is still developing.
Findings
To enhance the quality of product development, there is a need for PD strategy based on a clear understanding of many factors: the consumer; the complex interrelations among a product’s values, dimensions and personalities; PD theories; and other related variables.
Practical implications
This study found that PD studies should concentrate more on codifying strategies to enhance product development success. This is particularly important in view of consumers’ varied and changeable tastes in the global market and the differing insights of product marketers and designers.
Originality/value
This comprehensive systematic review is a unique study that contributes to future business-to-consumer and business-to-business research by compiling scattered and hidden strategies, theories and variables in the PD/development literature.
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Amitabh Anand, Ritu Tripathi, Anjana Karumathil and Tanvika Kalra
Advanced bibliometric methods have emerged as key tools in mapping the history and trends of a discipline. This paper aims to demonstrate on applying various bibliometric methods…
Abstract
Purpose
Advanced bibliometric methods have emerged as key tools in mapping the history and trends of a discipline. This paper aims to demonstrate on applying various bibliometric methods to track a journal’s impact and review its knowledge contribution. In doing so, the authors take the case of IIMB Management Review (IMR) journal focused on management discipline, in consideration of its 10 years of publication presence.
Design/methodology/approach
Using bibliometric and Scopus metric methods, the authors map and analyze the productivity of IMR Journal and map its knowledge contributions.
Findings
The authors identify the IMR journal’s impact, its growth, the most prolific authors/affiliations, key research hotspots, cross-country collaboration and emerging trends over the past decade.
Originality/value
A 10-year longitudinal review helps the target group identify the main themes. It also provides key empirical insights to the journal editorial board and library managers for future planning and growth of the journal.
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Desirée H. van Dun and Maneesh Kumar
Many manufacturers are exploring adopting smart technologies in their operations, also referred to as the shift towards “Industry 4.0”. Employees' contribution to high-tech…
Abstract
Purpose
Many manufacturers are exploring adopting smart technologies in their operations, also referred to as the shift towards “Industry 4.0”. Employees' contribution to high-tech initiatives is key to successful Industry 4.0 technology adoption, but few studies have examined the determinants of employee acceptance. This study, therefore, aims to explore how managers affect employees' acceptance of Industry 4.0 technology, and, in turn, Industry 4.0 technology adoption.
Design/methodology/approach
Rooted in the unified theory of acceptance and use of technology model and social exchange theory, this inductive research follows an in-depth comparative case study approach. The two studied Dutch manufacturing firms engaged in the adoption of Industry 4.0 technologies in their primary processes, including cyber-physical systems and augmented reality. A mix of qualitative methods was used, consisting of field visits and 14 semi-structured interviews with managers and frontline employees engaged in Industry 4.0 technology adoption.
Findings
The cross-case comparison introduces the manager's need to adopt a transformational leadership style for employees to accept Industry 4.0 technology adoption as an organisational-level factor that extends existing Industry 4.0 technology user acceptance theorising. Secondly, manager's and employee's recognition and serving of their own and others' emotions through emotional intelligence are proposed as an additional individual-level factor impacting employees' acceptance and use of Industry 4.0 technologies.
Originality/value
Synthesising these insights with those from the domain of Organisational Behaviour, propositions were derived from theorising the social aspects of effective Industry 4.0 technology adoption.
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Shibananda Nayak and Mirza Allim Baig
The purpose of this paper is to examine the likely determinants of the demand for official international reserves (hereafter reserves) for India and China in the long run in a…
Abstract
Purpose
The purpose of this paper is to examine the likely determinants of the demand for official international reserves (hereafter reserves) for India and China in the long run in a basic buffer stock model. The paper also examines the role of domestic money market disequilibrium in the short-run demand for official reserves for both the countries in a dynamic synthesis model.
Design/methodology/approach
The study used quarterly data for the time period 1993:Q1–2015:Q4. The long-run model is being estimated by following the Frenkel–Jovanovic (1981) buffer stock model and includes the determinants such as transaction motive variable (GDP or Imports), opportunity cost variable (domestic interest rate), precautionary motive variable (volatility of reserves) and exchange rate. The study also examined the role of domestic money market disequilibrium in addition to the above variables in the short-run reserve demand model. The money market disequilibrium term is expected to be negative and significant in the short run. The study employed autoregressive distributed lag bound testing approach to co-integration and unrestricted error-correction model (UECM) approach developed by Pesaran et al. (2001) for estimating the long-run and short-run models, respectively.
Findings
The co-integration test suggests the existence of long-run relationship between international reserves and its determinants. In the long run, all the variables are statistically significant with expected sign, except domestic interest rate variable for China. It is also found that, the money market disequilibrium term in the short run is negative and significant which validates that an excessive money demand (supply) induces an inflow (outflow) of international reserves for both India and China with a lag of four quarters. The recursive residual tests (CUSUM and CUSUMSQ) confirm the stability of both long-run and short-run reserve demand models.
Practical implications
The findings and policy implications of this study may be useful for the policy makers of the similar emerging economies for designing money and currency policies.
Originality/value
This paper is a comparative study which systematically analyzed the reserve demand behavior of the two emerging economies India and China. The study integrates the domestic money market with the international reserve demand behavior for these two economies.
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Purpose: This piece delves into the transformative potential of artificial intelligence (AI) in the healthcare field within the emerging realm of Industry 5.0, highlighting a…
Abstract
Purpose: This piece delves into the transformative potential of artificial intelligence (AI) in the healthcare field within the emerging realm of Industry 5.0, highlighting a people-focused and eco-friendly approach.
Need for the study: While Industry 4.0 set the foundation for digitization in healthcare, it frequently overlooked the human factor and concerns about sustainability. Industry 5.0 tackles these deficiencies by giving importance to human welfare, efficiency in resource usage, and societal consequences alongside technological progress.
Methodology: This research utilizes a survey of existing written works on Industry 5.0, AI in healthcare, and associated empowering technologies. It also leans on insights from recent investigations and business actions to pinpoint current patterns and future paths.
Findings: This chapter showcases how AI-driven solutions can greatly alter various facets of healthcare. Some of these healthcare facets encompass personalized medicine and treatment, intelligent diagnostics and decision support, robot-supported surgery and care, and enhanced availability and affordability.
Practical applications: This piece offers valuable perspectives for healthcare investors. These investors cover healthcare suppliers, technology creators, rule creators, and patients. By embracing the standards of Industry 5.0, the merging of AI into healthcare brings significant potential for crafting a more competent, sustainable, and people-centered healthcare network that benefits both patients and society as a complete unit. This research investigates the stance, viewpoints, and potential impacts of machine intelligence (MI) in health with an emphasis on Industry 5.0.