The Impact of E-Procurement Systems in the Biomedical Industry

2020 ◽  
Vol 27 (2) ◽  
pp. 66
Author(s):  
A. Seetharaman ◽  
Nitin Patwa ◽  
Simon Lai Koek Wai ◽  
Ahammed Shamir
Keyword(s):  
Supply Chain ◽  
Cost Savings ◽  
The Internet ◽  
Business Analytics ◽  
Process Automation ◽  
Short Term ◽  
Compliance Cost ◽  
Biomedical Industry ◽  
The Impact

The evolution of the Internet has revolutionised the sourcing and procurement processes in organisations in every industry. The focus of this paper is to analyse the perception of business users on the factors which impact the usage of eprocurement systems in the biomedical industry. There are four factors identified in this research: i.e. control and compliance, cost savings, process automation, and improvements and transparency. The benefit of achieving process automation is the first biggest factor, followed by the need for control and compliance, and transparency, being the second and third factors respectively. The fourth factor, cost savings, is ignored because the users perceived that cost savings will not be realised in the short term, and the returns from the investment could be a couple of years after the eprocurement system has been fully operational. The research also concludes that the ability to perform business analytics and to strengthen the supply chain are the most important factors in measuring the success in the adoption of e-procurement systems

scholarly journals The Impact of E-Procurement Systems in the Biomedical Industry

2020 ◽  
Vol 27 (1) ◽  
pp. 66
Author(s):  
A. Seetharaman ◽  
Nitin Patwa ◽  
Simon Lai Koek Wai ◽  
Ahammed Shamir
Keyword(s):  
Supply Chain ◽  
Cost Savings ◽  
The Internet ◽  
Business Analytics ◽  
Process Automation ◽  
Short Term ◽  
Compliance Cost ◽  
Biomedical Industry ◽  
The Impact

The evolution of the Internet has revolutionised the sourcing and procurement processes in organisations in every industry. The focus of this paper is to analyse the perception of business users on the factors which impact the usage of eprocurement systems in the biomedical industry. There are four factors identified in this research: i.e. control and compliance, cost savings, process automation, and improvements and transparency. The benefit of achieving process automation is the first biggest factor, followed by the need for control and compliance, and transparency, being the second and third factors respectively. The fourth factor, cost savings, is ignored because the users perceived that cost savings will not be realised in the short term, and the returns from the investment could be a couple of years after the eprocurement system has been fully operational. The research also concludes that the ability to perform business analytics and to strengthen the supply chain are the most important factors in measuring the success in the adoption of e-procurement systems

scholarly journals The impact of big data and business analytics on supply chain management

2015 ◽  
Vol 9 (1) ◽  
Author(s):  
Hans W. Ittmann
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Business Analytics ◽  
Chain Management ◽  
Business Competitiveness ◽  
The Impact ◽  
Proper Analysis

Background: Change is inevitable and as supply chain managers prepare for the future they face many challenges. Two major trends over the last few years are the growing importance of ‘big data’ and analysing these data though ‘analytics’. The data contain much value and companies need to capitalise on the variety of data sources by in-depth and proper analysis through the use of ‘big data’ analytics.Objective: This article endeavours to highlight the evolving nature of the supply chain management (SCM) environment, to identify how the two major trends (‘big data’ and analytics) will impact SCM in future, to show the benefits that can be derived if these trends are embraced and to make recommendations to supply chain managers.Method: The importance of extracting value from the huge amounts of data available in the SCM area is stated. ‘Big data’ and analytics are defined and the impact of these in various SCM applications clearly illustrated.Results: It is shown, through examples, how the SCM area can be impacted by these new trends and developments. In these examples ‘big data’ analytics have already been embraced, used and implemented successfully. Big data is a reality and using analytics to extract value from the data has the potential to make a huge impact.Conclusion: It is strongly recommended that supply chain managers take note of these two trends, since better use of ‘big data’ analytics can ensure that they keep abreast with developments and changes which can assist in enhancing business competitiveness.

Value Enablement of Collaborative Supply Chain Environment Embedded With the Internet of Things

2020 ◽  
Vol 16 (3) ◽  
pp. 19-51
Author(s):  
Samir Yerpude ◽  
Tarun Kumar Singhal
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Supply Chains ◽  
Goodness Of Fit ◽  
The Internet ◽  
Chain Model ◽  
Time Data ◽  
Business Goals ◽  
The Impact ◽  
The Internet Of Things

Currently, industry is going through the fourth Industrial Revolution, also termed Industry 4.0. It is characterized mainly by the cyber-physical systems dominated by digital technologies such as the Internet of Things (IoT). Organizations are making significant effort to understand customer needs and subsequently align them to the business goals for achieving market leadership. It is imperative for the longevity of the organization that goods and services be made available to the customer at the most appropriate place, time, and price. Supply chains are contributing to achieving this organizational goal. A paradigm shift was observed in the past few decades when organizations competed as supply chains in the market more than an individual brand. This shift brought forward the importance of collaborative supply chains. Researchers in this study have presented the impact of IoT origins on real-time data on a collaborative supply chain model, including internally and externally aligned parameters. The study recommends the best model basis for the goodness of fit from the customer and vendor perspective for the automotive industry in India.

Omicron will slow but not weaken German recovery

2021 ◽  
Keyword(s):  
Economic Growth ◽  
Supply Chain ◽  
Carbon Emissions ◽  
Raw Materials ◽  
Electricity Prices ◽  
Short Term ◽  
Content Type ◽  
Legal Immigration ◽  
The Impact

Significance Bundesbank president Jens Weidmann stated that the “recovery has been somewhat pushed back” by the impact of supply chain restrictions, the rising costs of raw materials and energy and the spread of the more transmissible Omicron COVID-19 variant. Impacts Higher taxes on carbon emissions and elevated electricity prices will slow economic growth in the short term. Opening more paths for legal immigration will become a crucial policy for tackling labour shortages over the coming years. Education and infrastructures will be the main recipients of new investment under Chancellor Olaf Scholz’s government.

scholarly journals The impact of business analytics on supply chain performance

2010 ◽  
Vol 49 (3) ◽  
pp. 318-327 ◽  
Author(s):  
Peter Trkman ◽  
Kevin McCormack ◽  
Marcos Paulo Valadares de Oliveira ◽  
Marcelo Bronzo Ladeira
Keyword(s):  
Supply Chain ◽  
Supply Chain Performance ◽  
Business Analytics ◽  
The Impact

scholarly journals Impact of Internet Use on Economic Activities of West Sumatra

2021 ◽  
Vol 58 (1) ◽  
pp. 2686-2698
Author(s):  
Alpon Satrianto Et al.
Keyword(s):  
Economic Growth ◽  
Internet Use ◽  
The Internet ◽  
Economic Activities ◽  
Short Term ◽  
Vector Autoregressive ◽  
Net Exports ◽  
West Sumatra ◽  
Use Of The Internet ◽  
The Impact

This study aims to analyze the impact of internet usage on regional economic activities in West Sumatra. In particular, this study analyzes the impact of internet use on economic growth, consumption, investment and net exports of West Sumatra. This type of research is descriptive and associative research. The data in this study is in the form of panel data consisting of 19 districts / cities in West Sumatra from 2016-2018. The data analysis technique uses the Vector Autoregressive Panel (PVAR). The results of this study conclude that the use of the internet has a significant effect on economic growth, consumption, investment and net exports in both one and two previous periods. The use of the internet has the greatest impact in the short term on consumption activities in West Sumatra, while the use of the internet has the smallest impact in the short term on economic growth activities in West Sumatra. In the long run, the use of the internet has the greatest impact on economic growth in West Sumatra.

Usage of Business Analytics and Supply Chain Performance – An Empirical Study of Sri Lankan Aapparel Sector

2021 ◽  
pp. 9-17
Author(s):  
Lakpura D.D. ◽  
Anuththara K.H.G.M. ◽  
Hansika P.P.G.C.N. ◽  
Fernando K.E.H. ◽  
Ranjiva Munasinghe ◽  
...  
Keyword(s):  
Information System ◽  
Supply Chain ◽  
Large Scale ◽  
Supply Chain Performance ◽  
Sri Lankan ◽  
Business Analytics ◽  
Business World ◽  
Apparel Companies ◽  
The Impact ◽  
The Relationship

Advances in technology and innovation require companies to embrace these new trends to compete and stay ahead in the business world. In particular, there is a need for companies to incorporate Business Analytics practices within their organizations. Business Analytics consists of two components: Information Systems and Business Process Orientation. This study aims to investigate the impact of the use of Business Analytics on the Supply Chain Performance in apparel companies in Sri Lanka. This research focuses on discussing the objectives developed to achieve the purpose of the study. To achieve this objective, this current study investigates the relationship between the Information System, Supply Chain Performance and the effect of the use of the Information System in the supply chains of Sri Lankan apparel companies. The study uses a quantitative approach. In this study, for quantitative analysis study performs regression analysis and decision tree analysis. This study identifies a positive relationship between the Information System and the Supply Chain Performance. For further future studies, it is advisable to extend this study by examining the performance of medium-and large-scale companies in the country.

scholarly journals Strategy for Supply Chain Integration of Autonomous Electrical Vehicles in the Internet of Things

2019 ◽  
Author(s):  
Petar Radanliev
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Supply Chain Integration ◽  
The Internet ◽  
Theory Approach ◽  
Supply Chain Strategy ◽  
Electrical Vehicles ◽  
The World ◽  
The Impact ◽  
The Internet Of Things

This paper outlines a new methodology for developing strategy for supply chain integration of Autonomous Electrical Vehicles (AEV) to the Internet of Things (IoT). The methodology consists of external architecture and internal design that anticipates the business strategy in the development process. The methodology is designed to anticipate the impact of developments in new road transport technologies, such as Tesla Truck or Tesla Pickup. Since the methodology is designed to anticipate the impact of non-existing technologies, it represents green-field analysis. Green-field is defined as a new and non-existent operation. Green-field strategy architecture in this paper is presented as a process of accepting the world and acting upon that version of the world. The results of the analysis are presented as pathways and outcomes, emerging from the interrelated relationship between AEV and IoT. The emerging methodology is applied through two case studies to evaluate the impact to environment, performance and operationalisation. The methodology proposes architecture and design for integrating AEV and IoT in the supply chain strategy, and a set of new evaluation criteria that promote acceptance of Artificial Intelligence (AI) in the design process. The main contribution to knowledge is a new methodology for integrating AEV and the IoT to the supply chains. The paper applies interplay between inductive and deductive case study and grounded theory approach to build upon the concept of supply chain architecture and contribute to knowledge to the topic of formulating green-field integrated AEV- IoT supply chain strategy.

scholarly journals A BPM-based framework for the impact assessment of blockchain to the midstream LNG supply chain

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dimitrios V. Lyridis ◽  
Georgios O. Andreadis ◽  
Christos Papaleonidas ◽  
Violetta Tsiampa
Keyword(s):  
Supply Chain ◽  
Business Models ◽  
Business Processes ◽  
Low Cost ◽  
Cost Savings ◽  
Sensitive Information ◽  
Management Tools ◽  
Content Type ◽  
Shipping Company ◽  
The Impact

PurposeThe current study addresses how blockchain can deal with the challenges that the midstream liquefied natural gas (LNG) supply chain poses combined from a management standpoint. Such challenges are: the volume of transactions, communication hurdles and the lack of contemporary management tools. The paper proposes a comprehensive framework to assess the impact of blockchain implementation in the midstream LNG supply chain in order to tackle those barriers.Design/methodology/approachThe basis of the research is the business process modelling (BPM), through which entities, roles, tasks, resources and transactions can be modelled and simulated. The modelling of the midstream LNG supply chain, via BPM, is based on guidelines of the Society of International Gas Tanker and Terminal Operators (SIGGTO) and common industry business models. A quantitative analysis is employed to support the motivation and the potential impact of blockchain implementation. The methodology is used to identify (1) inefficiencies related to large volume of transactions between stakeholders and (2) critical areas of an LNG shipping company, where blockchain can be implemented.FindingsProcess repeatability, numerous shared documentation forms, excessive paperwork and communication imbroglios are mapped from the modelling section. Up to 327 processes are repeated during a typical vessel voyage, and up to 122 shared documentation forms are exchanged. Excessive paperwork and communication imbroglios are tracked through, which correspond to 25 severe errors as detected. By implementing the methodology, stakeholders can quantify the possible impact of blockchain on the operational performance of each stakeholder's operations separately and the supply chain as a whole in terms of real-time monitoring, transparency and paperwork reduction, time and cost savings.Research limitations/implicationsThe research has certain limitations deriving from its conceptual nature. The business processes' modelling is based on standard procedures described in the guidelines by SIGGTO and may need further adjustment for specific use cases. A structured case study has not been realisable as corporate data for an LNG shipping company regarding processes and other commercial sensitive information are required.Practical implicationsPotential practitioners may exploit the proposed framework as a low cost and seamless tool to evaluate how blockchain could disrupt their operations. Thus, the blockchain implementation's improvements or weaknesses can be pinpointed, and enabling the interested stakeholder of the LNG supply chain with specific feedback, it can guide them towards informed decisions on their operations.Originality/valueThe research has a novel approach as it combines the creation of practical management framework, with a comprehensive visualization of the midstream LNG supply chain. Thus, the reader can identify in which parts of the midstream LNG supply chain can blockchain be implemented, and what impact it could have in terms of supply chain operations.

scholarly journals Intelligent Coordination Distribution of the Whole Supply Chain Based on the Internet of Things

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Hongxiu Cui
Keyword(s):  
Supply Chain ◽  
Internet Of Things ◽  
Economic Benefits ◽  
Cold Chain ◽  
The Internet ◽  
Key Technologies ◽  
Coordination System ◽  
The Impact ◽  
Internet Of Things Technology ◽  
The Internet Of Things

In this paper, through the intelligent research of the whole process of logistics and distribution with the Internet of Things supply chain, we study how to improve the development of the cold chain, reduce the loss in circulation, improve the social and economic benefits, and carry out intelligent information collection, monitoring, management, and information tracing of the whole cold chain. This paper analyzes and empirically studies the impact of key technologies of the Internet of Things in cold chain coordination from the perspective of building an intelligent cold chain coordination system with the Internet of Things technology. This paper analyzes the current situation of cold chain logistics and the impact that the application of IoT technology will have, explains that IoT technology can improve the intelligence level of the cold chain, and then introduces the application of intelligent cold chain logistics under IoT orientation, combining the process of cold chain logistics with the three-layer architecture of IoT technology. By extracting the key technologies of IoT perception layer, network layer, and intelligence layer, the intelligent cold chain coordination system based on IoT technology is constructed, and then, the correctness of the system is verified, to have some reference and evaluation for the cold chain construction. The system was then verified to have some reference and guidance significance for the construction and evaluation of the cold chain. The results of this paper are more accurate and more efficient.

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