/pdf/business-research-method-411b0mmigz.pdf

Business Research Method

A systematic literature review on green supply chain management: Research implications and future perspectives

3. Compare the relative diameters of the afferent and efferent arterioles and explain the significance in this size differential. The afferent arteriole is wider than the efferent arteriole which means that blood enters the glomerulus through a wider opening than the blood exiting the glomerulus, thus creating an increased “back pressure” (=hydrostatic filtration pressure). They hydrostatic pressure is higher in the glomerulus than in other capillaries. By varying the size of the afferent and/or arterioles, the glomerular filtration rate (GFR) may be increased or decreased.

/pdf/human-anatomy-and-physiology-i-4ufyaoup7s.pdf

Human Anatomy and Physiology I

Artificial intelligence (AI) was introduced to develop and create “thinking machines” that are capable of mimicking, learning, and replacing human intelligence. Since the late 1970s, AI has shown great promise in improving human decision-making processes and the subsequent productivity in various business endeavors due to its ability to recognise business patterns, learn business phenomena, seek information, and analyse data intelligently. Despite its widespread acceptance as a decision-aid tool, AI has seen limited application in supply chain management (SCM). To fully exploit the potential benefits of AI for SCM, this paper explores various sub-fields of AI that are most suitable for solving practical problems relevant to SCM. In so doing, this paper reviews the past record of success in AI applications to SCM and identifies the most fruitful areas of SCM in which to apply AI.

Artificial intelligence in supply chain management: theory and applications

The Multiple Criteria Decision Making (MCDM) utility determining approaches and fuzzy sets are considered to be new development approaches, which have been recently presented, extended, and used by some scholars in area of decision making. There is a lack of research regarding to systematic literature review and classification of study about these approaches. Therefore; in the present study, the attempt is made to present a systematic review of methodologies and applications with recent fuzzy developments of two new MCDM utility determining approaches including Step-wise Weight Assessment Ratio Analysis (SWARA) and the Weighted Aggregated Sum Product Assessment (WASPAS) and fuzzy extensions which discussed in recent years. Regarding this, some major databases including Web of Science, Scopus and Google Scholar have been nominated and systematic and meta-analysis method which called “PRISMA” has been proposed. In addition, the selected articles were classified based on authors, the year of publication, journals and conferences names, the technique and method used, research objectives, research gap and problem, solution and modeling, and finally results and findings. The results of this study can assist decision-makers in handling information such as stakeholders’ preferences, interconnected or contradictory criteria and uncertain environments. In addition, findings of this study help to practitioners and academic for adopting the new MCDM utility techniques such as WASPAS and SWARA in different application areas and presenting insight into literature.

A Systematic Review and Meta-Analysis of Swara and Waspas Methods: Theory and Applications with Recent Fuzzy Developments

End-of-life solar photovoltaic e-waste assessment in India: a step towards a circular economy

Sustainable freight transportation (SFT) and cold-chain for perishable food products are the two most prominent areas where research is tremendously growing with increasing number of publications in various reputed journals. The area of SFT for perishable products is still in the nascent stage and not much explored. There are a number of published articles in the cold chain, but only a few have addressed the issue of sustainability. Perishable products require careful handling throughout their supply chain, which often requires reefer vehicles and cold storage facilities. They need to move fast in the supply chain as their longer stay would cause more energy consumption and higher perishability losses leading to increased cost and carbon footprints. The paper analyzes existing literature on this vital problem area and attempts to derive valuable insights using a structured approach termed as literature review analytics, which involves bibliometric and network analytics. This review analyzes the articles published during 1985–2017 using a set of keywords. Some of the key findings of this study unveil (1) research on SFT of perishable items is growing rapidly; (2) among all, Italy followed by the United States is the most contributing country in this research area. Further, network analytics is used to analyze the co-occurrence network for authors and keywords.

Literature review analytics (LRA) on sustainable cold-chain for perishable food products: research trends and future directions

Cell phones waste is the fastest growing electronics waste across the globe. Still in developing nations like India, most of this waste is routed to the unorganized sector causing irreparable damage to environment and health. This study has highlighted the economic, environmental and social benefits that India can gain by recycling the gold contained in discarded cell phones in an environmentally sound manner. In this work, system dynamics (SD) approach has been employed to develop a model of circular flow of gold in cell phones from manufacturing stage to recycling stage. Using the SD model developed, nine scenarios have been simulated and behavior trends of various variables under consideration are studied which provide very useful insights to facilitate policy decisions to promote cell phones recycling in India.

Circular economy model of gold recovery from cell phones using system dynamics approach: a case study of India

Over the past few years, Industry 4.0 has received significant global attention owning to its capability to enhance the sustainability and future competitiveness of the manufacturing sector. However, manufacturers are experiencing numerous difficulties while implementing Industry 4.0 due to the sheer number of barriers. In light of this, the present study aims to identify the Industry 4.0 barriers and prioritize the strategies to overcome these barriers for the successful implementation of Industry 4.0. Based on the extensive literature review and discussion with experts, a total of twenty-three Industry 4.0 barriers and eighteen strategies were identified and finalized. This research proposes a hybrid framework using Modified Stepwise Weight Assessment Ratio Analysis and Weighted Aggregated Sum Product Assessment methods to propose the strategies to overcome the Industry 4.0 barriers. In order to demonstrate the practical applicability of the proposed framework, an empirical case investigation of an Indian auto component manufacturing company has been carried out. The findings of this study reveal that “Commitment from top management towards Industry 4.0 implementation” is the top-ranked strategy, followed by ‘Framing of a strategic roadmap for Industry 4.0 implementation’ and  “Align people, process and technology for effective change management” to mitigate the impact of Industry 4.0 barriers. The proposed framework offers a systematic approach for the practitioners to understand and analyze the various barriers and strategies to overcome these barriers for successful implementation of Industry 4.0.

Prioritization of strategies to overcome the barriers in Industry 4.0: a hybrid MCDM approach

The purpose of this paper is to identify the enablers for organizational excellence inspired by human body; based on which a generally applicable framework that establishes relationships among these enablers can be developed. In the first part of the paper, human body systems and sub-systems are analyzed from organizational perspective operating in dynamically changing environment. The examination of human body organization subsystems has revealed nine attributes that enable human body to become an optimally managed organization. The nine attributes are: quick responsiveness to external stimuli, coordination, communication, control, optimal supply chain management, adaptability, reliability, innovativeness, and self regulation. In the second part of the paper, these nine enablers are modeled using TISM. The model developed clearly demonstrates the driving and dependence of the enabler in human body organization. It is expected that the proposed model can inspire and provide insight to businesses in improving their design and function which will help in achieving organizational excellence.

Prem Vrat

Papers

End-of-life solar photovoltaic e-waste assessment in India: a step towards a circular economy

Literature review analytics (LRA) on sustainable cold-chain for perishable food products: research trends and future directions

Circular economy model of gold recovery from cell phones using system dynamics approach: a case study of India

Prioritization of strategies to overcome the barriers in Industry 4.0: a hybrid MCDM approach

A TISM Based Bionic Model of Organizational Excellence