| 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 | |
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 |
Week-6
| NAME: Naina | |||
| PROJECT TITLE: Big data analytical in supply chain management for e-commerce | |||
| WEEK NO.: 6 | DATE:10 September 2021 | ||
| PLANNING | |||
| MILESTONE: | PLANNED | ACTUAL | COMMENT |
| The analysis methods for Big Data are gaining more influence in every feature of the management of the business. | The study and the analysis will most likely bear very strong influence insights for the e-commerce practitioners of the logistic distribution. | The research is based on the qualitative analysis of the data that has been gathered as of various ground interviews, visits through the senior management. | The study helps in recognizing the issue, which assists a company in inhibiting it starting as of creating or making its BDA ability. |
| ISSUES | |||
| DESCRIPTION | DATE | RESULT | FINISHED |
| Investigates several different modes for logistic distribution that are faced by the enterprises while embracing new features. | 10 September 2021 | This research helps in determining the company’s ability in building the BDA capability for gaining a competitive advantage. | Yes |
Week-5
| NAME: Naina | |||
| PROJECT TITLE: Big data analytical in supply chain management for e-commerce | |||
| WEEK NO.: 5 | DATE:30 August 2021 | ||
| PLANNING | |||
| MILESTONE: | PLANNED | ACTUAL | COMMENT |
| A note on big data analytics capability development in supply chain | We attempt to answer this fundamental question by identifying the factors that assist a company in or inhibit it from building its BDA capability and maximizing its gains through BDA technologies. | Their decision-making processes would benefit from increased use of BDA technologies. | We have found the contributing factors for BDA capability development in SCM divisions. |
| ISSUES | |||
| DESCRIPTION | DATE | RESULT | FINISHED |
| There is still a lack of understanding of what determines a company’s ability to build BDA capability to gain a competitive advantage. | 30 August 2021 | Results based on interview data collected from enterprises in France and India | Yes |
Week-4
| NAME: Naina | |||
| PROJECT TITLE: Big data analytical in supply chain management for e-commerce | |||
| WEEK NO.: 2 | DATE:21 August 2021 | ||
| PLANNING | |||
| MILESTONE: | PLANNED | ACTUAL | COMMENT |
| Construction of annotated bibliography for assessment 3 is the milestone of this week. | To find the relevant good quality articles for the annotated bibliography. | Learned how to write an annotated bibliography of the article that is useful for the topic. | The papers are searched for the topic. |
| ISSUES | |||
| DESCRIPTION | DATE | RESULT | FINISHED |
| To study the whole article to write annotated bibliography is time consuming. | 21 August 2021 | This learning will be helpful for me to write a literature review. | Yes |
Week-3
| NAME: Abhinaina | |||
| PROJECT TITLE: Big data analytics in supply chain management for e-commerce | |||
| WEEK NO.: 3 | DATE: 9 August 2021 | ||
| PLANNING | |||
| MILESTONE: | PLANNED | ACTUAL | COMMENT |
| I will use the supply chain management for the e-commerce platform.
|
I will plan to use the smooth supply for the platform of e-commerce. | In this research paper I will use find out the research paper for preparing the report.
|
I feel happy while preparing this report.
|
| ISSUES | |||
| DESCRIPTION | DATE | RESULT | FINISHED |
| I will face the problem of large number of data generated while analysing this research paper.
|
9 August 2021 | I will use the big data analytical for solving the problem which is occur while preparing this report. | Yes |