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Assignment – Case Study Assignment Overview Description:Information and communication technologies (ICTs) such as big data analytics and enterprise 2.0 tools can enhance the efficiency and...

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Assignment – Case Study



Assignment Overview



Description:


Information and communication technologies (ICTs) such as big data analytics and enterprise 2.0 tools can enhance the efficiency and effectiveness of decision-making in projects. However, selecting the right technology and implementing it successfully are the challenges that may prevent organisations from benefiting from investing in ICT.


This assessment will assess your skills in critically analysing the role of ICTs in decision-making, critically evaluating success factors in adopting ICTs, and implementing ICTs in project activities.



Word Count:2000 words (+/- 10%)excludingin-text and end-text referencing



This assignment has two parts:
Written Report and Presentation slides.


Presentation slides should be maximum of 5 slides excluding the title slide and list of references slide (Can use same from Written report).


For the written report, there is a word limit of 2000 words (+/- 10%) words. References are not counted in the word limit and there is no limitation on the number of references.






Assignment Rationale


Many factors threaten the quality of decisions in organisations. For instance, lack of information, poor communication, inadequate stakeholderinput, uncleardecision criteria may result in an ineffective or inefficient decision-making process. Ineffective decisions can lead to poor outcomes and wasted resources. The inefficiency of decisions can cause delays and increase the cost of the project. Information and communication technologies (CITs) (e.g., big data analytics, artificial intelligence, and enterprise 2.0 tools) can transform the decision-making process and increase the efficiency and effectiveness of decision-making.


Although selecting the right technology is essential to maximising the returns on technology investments, it is not sufficient. Recent reports have demonstrated that many firms that invested in ICTs could not take full advantage of usingthemas a result of failures during the implementation process.Accordingly, managers should identify the technological, organisational, environmental, or individual barriers to technology adoption in the chosen organisation and formulate a plan to overcome these barriers.






Instructions


You are in charge of a medium-large size organisation in an industry of your choice. Select an ineffective/inefficient decision-making process at either a strategic, tactical or operational level, and undertake the following:



  1. Explain briefly the ineffective/inefficient decision-making process as well as its underlying causes.

  2. Propose at least one [no more than two] information and communication technology solutions that can improve the efficiency and effectiveness of the decision-making process.

  3. Explain clearly how the selected technology/technologies can address the underlying causes of ineffective/inefficient decision-making and improve the quality of the decision.

  4. Explain the technological, organisational, environmental, or individual barriers to technology adoption in the chosen organisation with respect to the organisation and industry characteristics (e.g., firm size). Please refer to at least 5 barriers.

  5. Formulate a plan for the successful implementation of the selected technologies.






Suggested Structure


Your report should contain the following sections:




  1. Decision Overview




    • Provide an overview of the ineffective/inefficient decision-making process.

    • Explain its underlying causes.





  1. Recommended information and communication technology/ technologies.




    • A clear link between recommended technology/ technologies and underlying causes of ineffective/inefficient decision-making process is required.

    • Support the recommended technology/technologies with relevant references.





  1. Barriers to Successful Implementation




    • Explain the barriers to technology adoption in the chosen organisation.

    • The organisation and industry characteristics of the chosen organisation should be considered. For instance, small and large firms may face different barriers in implementing big data analytics.

    • Support the identified barriers with relevant references.





  1. Implementation Plan




    • Formulate a plan for the successful implementation of the technology in the chosen organisation.

    • The highlighted barriers should be considered in developing the plan. It should be clearly stated how the proposed plan may mitigate the recognised barriers.

    • Support the recommended plan with relevant references.





Assignment References


Your written work must comply with APA 7th referencing protocols including font type and size.You are not required to limit yourselves to the contents and references provided. As long as the article is
properly cited with page no
(e.g.
Jensen, 2010, p. 2) students can use any published article as a reference.


However, among all references,
you should cite at least one article
from ABDC A*/A academic journals.
This is to ensure that you have invested reasonable efforts in searching efforts. After the reference list, re-state the name of the ABDC A*/A academic journals which you had cited.











6.Rubric















































Criteria




Ratings




Points



Ineffective/ inefficient decision-making Causes Evaluation



Key causes of ineffective/ inefficient decision-making processes are complete with detailed explanation.



10



Decision-Making Technologies



Provides exceptional technologies and fully justified based on causes of ineffective/ inefficient decision-making processes.



15




Barrier Identification



Key barriers to successful adoption are complete, realistic and sophisticated.



20



Plan Development



Plan is professional, identifies risks, and contains all tasks and task outcomes required with description and roles.



15



FUNCTIONAL LANGUAGE- ORAL COMMUNICATION



Communicates skillfully across all aspects of speech with virtually no errors. Speaks fluently. Seamlessly links logical sentences and sections together to outstanding effect.



10



FUNCTIONAL LANGUAGE – WRITTEN COMMUNIVATION



Writes fluently with virtually no errors. Referencing protocols are correctly applied to all sources. Writes using varied and complex sentence structures. Paragraphs and overall structure are balanced, highly logical and seamlessly linked.



10



Referencing follows APA7



APA 7 referencing used with no errors and include page no for intext citation. Weekly learning material examples and some academic sources are incorporated clearly. Secondary sources support and enhance the argument. You should cite at least one article from ABDC A*/A academic journals.



5



Answered 6 days After Sep 20, 2024

Solution

Shubham answered on Sep 25 2024
5 Votes
OPTIMISING SUPPLY CHAIN MANAGEMENT THROUGH ICT: ENHANCING DECISION-MAKING IN RETAIL ELECTRONICS
Introduction
In the retail electronics industry, effective supply chain management is important for optimising inventory levels and ensuring customer satisfaction. The organisation manages thousands of stock-keeping units for making real-time decision-making imperative. The inefficiencies in decision-making processes can be caused because of lack of real-time data and poor communication that can hinder operational effectiveness. The report describes about potential of big data analytics and artificial intelligence as transformative ICT solutions to address inefficiencies. This requires implementing technologies that will help organisation with aim to enhance supply chain operations and improve management of extensive SKU portfolio.
Decision Overview
Introduction to Organisation & Industry
The organisation focus on operates in the retail industry in consumer electronics. In the medium-large sized organisation with operations that spread in different regions. This helps to manages extensive network of suppliers, distributors and retail outlets. The company has 1,000 employees and handles thousands of product SKUs. It ranges from household appliances to personal gadgets. The retail electronics industry is highly competitive and company needs to adapt to fast-changing consumer preferences, advancements in technology and global supply chain dynamics. Success in the sector requires effective decision making in areas like product development, inventory management, pricing and customer service. The inefficiencies in decision-making processes can lead to missed market opportunities, delays and increased operational costs.
Ineffective/Inefficient Decision-Making Process
The important decision-making process is considered as inefficient at operational level is the supply chain management of organisation. The company is struggling with decisions related to inventory replenishment and stock level management. The decision-making process is fragmented with different departments including procurement, logistics and warehouse teams. The inventory levels are fluctuating and this can lead issues like overstocking and stockouts (Mehta & Pandit, 2018, pp. 59). In the fast retail industry, this requires maintaining optimal level of inventory is important. Overstocking can cause burden of unsold goods, increases storage costs and risks products can become obsolete. Stockouts can lead to missed sales opportunities and dissatisfied customers that can damage reputation off company and customer loyalty. The decision-making process lacks ability to respond to real time market demands and supply chain disruptions.
Underlying Causes of Inefficiency
1. Lack of Real-Time Data:
The existing system does not provide real time visibility of stock levels, market demand and supplier lead times. Inventory data is delayed and this can lead to slow and outdated decisions. In absence of accurate and updated information procurement teams can struggle to make informed decisions.
2. Poor Communication Channels:
Different departments include supply chain like procurement, logistics and warehouse management that relies on separate and disconnected systems. The lack of integration hinders communication and collaboration that can leading to delays in decision-making.
3. Inadequate Predictive Tools:
The company relies on historical sales data for making forecasting decisions. The lack of advanced predictive tools like big data analytics results in inability to anticipate future trends and adapt to market changes that can complicate inventory management.
4. Lack of Stakeholder Involvement:
Key stakeholders like store managers and customer service teams that are involved with customer demands and feedback are kept out of decision-making loop. The lack of input from front-line employees provides important insights in customer preferences and market trends that are not considered in inventory planning.
5. Manual Processes Slowing Workflow:
There are multiple processes in decision-making workflow like inventory tracking and reporting that are done manually (Dekimpe, 2020, pp. 12). The manual processes are time-consuming and are prone to e
ors that can contribute to inefficiency of supply chain management system. The use of spreadsheets and email communications can cause delays in decision-making process.
Recommended Information and Communication Technology/Technologies
Proposed ICT Solutions
1. Big Data Analytics
Big data analytics can provide organisation with real-time data and predictive information that are important for effective supply chain management. The use of advanced analytics tools can help organisation to aggregate and analyse large amounts of data from different sources including sales patterns, customer preferences and supplier performance. The capability enables accurate forecasting and inventory management that can help in reducing instances of overstocking and stockouts.
2. Artificial Intelligence (AI)
AI can play an important role in automating decision-making processes that are related with inventory management. In implementing AI algorithms and machine learning models can help organisation to optimize inventory levels based on real-time data and predictive analytics (Neilson, Daniel &...
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