NAME: AbhiNaina | |||
PROJECT TITLE: Big data analytical in supply chain management for e-commerce | |||
WEEK NO.: 12 | |||
PLANNING | |||
MILESTONE | PLANNED | ACTUAL | COMMENT |
Big Data Analytics as a mediator in Lean, Agile, Resilient, and Green (LARG) practices effects on sustainable supply chains | Investigates the role of ‘Big Data Analytics’ (BDA) as a mediator for ‘sustainable supply chain business performance’. | Identified constructs of BDA adoption were analysed empirically. | Assists practitioners in managing LARG practices to a sustainable supply chain. |
ISSUES | |||
DESCRIPTION | DATE | RESULT | FINISHED |
The effect of big data on the lean, agile, resilient, and green (LARG) supply chain is limited. | Beneficial for managers and practitioners to understand supply chain analytics. | Yes |
Month: October 2021
Week-11
NAME: AbhiNaina | |||
PROJECT TITLE: Big data analytical in supply chain management for e-commerce | |||
WEEK NO.: 11 | |||
PLANNING | |||
MILESTONE | PLANNED | ACTUAL | COMMENT |
Could the E-Commerce Platform’s Big Data Analytics Ease the Channel Conflict From Manufacturer Encroachment? An Analysis Based on Information Sharing and Risk Preference | A dual-channel supply chain including a manufacturer with risk preference, a traditional retailer, and an e-commerce platform in which the manufacturer adopts an encroachment strategy, adding a direct channel through the e-commerce platform beside the ex-traditional channel. | The game model approach is used to analyze the intention of the e-commerce platform’s information sharing with the manufacturer and the impact of demand-information sharing on the channel conflict brought by manufacturer encroachment. | The results show the manufacturer’s encroachment strategy always creates channel conflict. |
ISSUES | |||
DESCRIPTION | DATE | RESULT | FINISHED |
The higher the manufacturer’s risk aversion, the more he relies on the traditional channel. | When the manufacturer’s risk aversion level reaches a certain point, manufacturer encroachment may even produce a “win-win” situation for the manufacturer and retailer in some conditions. | Yes |
Week-10
NAME: AbhiNaina | |||
PROJECT TITLE: Big data analytical in supply chain management for e-commerce | |||
WEEK NO.: 10 | |||
PLANNING | |||
MILESTONE | PLANNED | ACTUAL | COMMENT |
A hybrid big data analytical approach for analyzing customer patterns through an integrated supply chain network | Through data integration, data analysis, and data interpretation, big data technologies can assist business stakeholders in gaining the benefits in their decision-making process. | Through data integration, data analysis, and data interpretation, big data technologies can assist business stakeholders in gaining the benefits in their decision-making process. | The proposed linked Bloom filters can store inactive data in a more efficient way for future use. |
ISSUES | |||
DESCRIPTION | DATE | RESULT | FINISHED |
Several big data analytical methods for analyzing integrated customer data can provide more effective and intelligent strategies. | The use of big data analytics can provide marketers a direction to make marketing strategies | Yes |
Week-9
NAME: AbhiNaina | |||
PROJECT TITLE: Big data analytical in supply chain management for e-commerce | |||
WEEK NO.: 9 | |||
PLANNING | |||
MILESTONE | PLANNED | ACTUAL | COMMENT |
E-commerce supply chain decisions under platform digital empowerment-induced demand | Develop a game model between an e-commerce platform and multiple retailers. | Explore the effects of platform network on e-commerce supply chain management. | Achieve a win-win situation by using revenue-sharing or profit sharing contract. |
ISSUES | |||
DESCRIPTION | DATE | RESULT | FINISHED |
The platform’s profit in PS is the highest among these systems if the sales effort cost coefficient is high. | The sales effort under DC is always the highest if PDE is employed, that is, nether RS nor PS can effectively promote the retailer’s sales effort. | Yes |
Week -8
NAME: AbhiNaina | |||
PROJECT TITLE: Big data analytical in supply chain management for e-commerce | |||
WEEK NO.: 8 | DATE:25 September 2021 | ||
PLANNING | |||
MILESTONE: | PLANNED | ACTUAL | COMMENT |
The goal for this week is to make the presentation. | I have started preparing the presentation for the seminar. | The presentation reflects the overall learning and work done regarding the topic. | BDA plays an important role in the enhancement of the e-commerce business. |
ISSUES | |||
DESCRIPTION | DATE | RESULT | FINISHED |
The presentation required specific content, and it was tough for me to select the specific points required to be present in the presentation. | 25 September 2021 | I have prepared a presentation. | Yes |
Week-7
NAME: Naina | |||
PROJECT TITLE: Big data analytical in supply chain management for e-commerce | |||
WEEK NO.: 7 | DATE:18 September 2021 | ||
PLANNING | |||
MILESTONE: | PLANNED | ACTUAL | COMMENT |
The BDA has the potential for changing the supply chain’s performance drastically using the process design, customer integration as well as supplier integration. | Examine the part of the BDA as the mediator between the “business performances of sustainable supply chain”. | This research will be beneficial for all the managers as well as practitioners in understanding the analytics of the supply chain. | The main factors are lean practices, environmental practices, financial practices, social practices as well as the total management of quality.
|
ISSUES | |||
DESCRIPTION | DATE | RESULT | FINISHED |
The BDA aim for improving the process of decision-making through the analysis & understand of the big data. | 18 September 2021 | The BDA capabilities have been used in the e-commerce activities for growing in the key for attracting more customers and increasing the vendor’s revenue. | Yes |