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MKTG3501 Strategy reflection
Creation date：2024-06-03 17:08:18
Belonging category：市场营销Marketing
Strategy reflection

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MKTG3501 

Assessment 1 Guidelines – Strategy reflection
Weight: 30%
Submission: Word document (.docx is preferable)
Word limit: 1,500 words maximum (+/- 10%). Any content submitted beyond the limit is ineligible for marking.
Referencing: APA (6th)
The aim of this assessment task is to develop your critical thinking skills, to use these to reflect
upon your own learning of marketing strategy so far in this course and to identify areas for
improvement. You are required to write a critical reflection on your experiential learning. Your
goal is to connect your learning to application and personal development in order to expand
your view of the marketing world.
Reflection is a valuable learning tool in the education environment, but also a very useful
business tool. Imagine a leader who doesn’t reflect on performance, they are likely to make
the same mistakes over and over. Therefore, a crucial component of reflection is
improvement, identifying how you would do things differently with the insight you have now
gained. This is what learning is all about. I encourage all students to peruse the links in the
A1 folder about reflection practice as this will help you understand how to approach this task.
Content guidelines
These guidelines provide a comprehensive framework and align well to the marking criteria.
There is no specific structure that learners must follow but you are encouraged to use
headings to break up content and direct the reader. Additionally, the nature of the task will
involve the use of personal pronouns and this is acceptable in this piece, although is less
common in business writing. The word limit excludes a cover page, and reference list
(everything else including tables, figures, heading, captions, etc are included in the word
count, no appendices are used in this task). As a written communication, a brief introduction
and conclusion should be included.
To provide learners with a structured approach to this task, you are asked to reflect on some
specific elements, rather than a broad overview. As such, learners should ensure they address
the specific topics following and should consult the marking criteria to see how this will be
assessed:
The assessment is formed by 4 parts, as follows.
Firstly, individuals should summarise and evaluate the strategic goals set in Q2 of the
simulation, including selection of target segment, market size, geographic market, competitive
posture and distinctive competencies. This should include a brief examination of how
well/poorly these decisions work to create a cohesive strategy.
Secondly, individuals should review implementation of strategy (up to and including Q5) and
evaluate how well tactical choices have aligned to the overarching goals, and the results of
this implementation. Be specific here – what choices align/do not align with set strategic
objectives, what are the specific implications of this alignment, or lack of.
Thirdly, an important part of executing strategy is monitoring performance and considering
how tightly to follow the set plans, or whether refinement may be needed. Students should
examine the marketing literature relating to ‘marketing agility’, providing a theoretical

Assessment 1 Guidelines – Strategy reflection
synthesis of the literature, justifying a top consideration for marketing managers to be mindful
of in executing strategy.
Finally, considering your previous discussion (on strategic goals, implementation and your
knowledge of agility), individuals should make a single top priority essential recommendation
to discuss with the team for potential execution moving forward in the simulation, providing
justification as to why this is necessary and details of how this will be executed.
Crucially, it is highlighted that this is a critical and informed reflection, not an opinion piece.
Therefore, detailed examination in relation to marketing theory is essential. Students who
solely describe personal opinions will fail. The task requires a diligent examination of
experiential learning outcomes in relation to specific evidence and contemporary marketing
literature. All discussions should be informed by evidence and theory, not personal
opinion.
Format
• Line spacing 1.5
• font 11pt Arial
• Standard margins
• Use headings to break up content effectively
• References should be included for ALL works using APA style. There is no set number
of references needed, rather quality scholarly theory will be used to demonstrate
informed viewpoints and evidence.

Assessment 1 Guidelines – Strategy reflection
Criteria Exceptional Advanced Proficient Functional Unsatisfactory
Strategic goals
20 marks
Exceptionally clear evaluation of
strategic marketing goals, expertly
and precisely examining the
cohesive nature of strategic
choices.
Case category
Tag cloud
关键词一 关键词二 关键词三 关键词四 关键词五 和法规和的发更好的风格和 ECON 615 FINC 612 CSC148 COMP 639 ACCT 203 ACCT 211 PSYC 101 MTH2009 COMP52315 PSYCO 432 statistics MATH4063 11 xxx 1 MA1MSP MAST30028 MATH3888 CS341 EEE30002 ES2F5 MCD4160 CC0933 ECON 1101 MCHM3001 CHEM3118 COMMGMT 2511 COMP41280 STAT 631 24T1 IRE379 SENG365 ECON433 FIT3139 MATH4602 LING5621M FINS5516 ECON3208 MN2177 L2 SM EEET1415 Finance DS4023 COMP3004 7CCSMRTS K1S5B6 Stat230 CSCI4211 CSI2132 ECON30130 MAS6100 ENVS222 COM2107 INFO1112 STAT 4004 FIT2100 comp2022 COMP4691 Physics 307 Econ 659 probability CSCI316 fir29 CSCI203 COMP3160 COMP6714 INFO1113 Physics 7B Physics Photonics S203031 STAT2005 COMP90015 CSCI 2110 CSCC46 Information CSC477 COMP4650 Statistical COMP 346 COMP1017 ELEC340 MATH1007 Programming function STAT 244 CS 134 Java cse13s Math 108A FW20 ECON3389 CSE 130 Science 331 COMP9020 engineering COSC 445 CSE 5523 GAME2012 visualization MATH 235 Math 370 CSC343 COGS 108 EE524 COMP10200 STAT 416 3FK4 MSCI 311 ECON6113 ACC40700 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CMP7000A CMP-7038B Math 263 LAW3016 CS371 STAT 334 FIN0008 ACC3004 STAT 371 ​COMP1921 MTH201 ACCT2000 UN3412 CIV6000 MATHS 3021 MATE7014 ECON1 CIBC6035 LAW121G COMM 321 CSC8204R TTM2033 CSCI 2600 MAE 115 LNG302 CENV6175W1 ECON30019 CPS2015 BST969 DDES9015 AMATH242 CS 1151 N1592 ACCT600 EG503G SMM519 EC318 Ecstatistics EEE 471 MARK2051 Topology COM00037H ACCT3000 MTHM501 EG501V COM00055H BUSN9085 GGR273 MATH 2B ITD102 MA214 ECON0060 ECE3114 ECMM447 Mechanics CCT361H5S BSAN3210 WELF2001 Fin3001 RESP5001 STA 137 Linguistics 101 CSCI368 CMPSC497 LUBS3655 OMBA 5355 BUSM2562 ​BFF5902 CYBR7001 CULT2005 ECON 7720 MTRX3760 FSE598 ​LUE1001 MGSC 7100 CS3240 COSC7500 ACCT3091 INFOGR TRAN 2080 DESIGN CIVE215001 CIVE2360 CPSC 8430 FNCE2003 Stoichiometry INFS6023 Quantitative Method Math 21D ECE5179 Design ​ECON8022 Chemical DMS 213 ADM1370 BFF5902 BFF2701 AGRI10051 AMN400 ECON7322 ​FINC5090 ​MATH1052 ​SciComp Elec4622 ​FINS5516 ENG 101 MMM143 CS431CA2 BSAN2201 EBSC7070 ES9v9-10 PLIN0009 DATA 8 MATH 101 BCPM0097 ​MAT 237 BISM2201 EEE8099 Physics 11 ECE2238B Biostat 234 ​ECON30009 INF10025 CHEM252 CCMA4008 CIVE 3007 STAT0031 ELEC ENG 3108 MGMT90140 CHEM 252 STAT3016 MMM095 ​MMGT6016 Legal STAT 311 ELEC9764 COMP 370 TCS 3053 EECS 1021 FIT1051 C/C++ EE3C COMP2003J COM398 COMP51915 Simulator FIN42330 8PRO102 PGD ELEC5160 XJCO1921 COMP5123M INFS 2042 CHE1148H ECA5313 IN3329 Microsoft Modeling B15 2TT COMP3687 COMP2432 DMS2030 KAN4TSF CFKG CSE 5322 CSE 445 STATS 3DA3 CHC5223 COMP1048 EL3105 EECS 3221 CS231 ME 4434 ITP4510 ITP4501 CSCI 5708 Controller EECE 5699 CPEN 231L CPN programs CSC8016 MATU9D2 ENGN4213 2. SVM. (10 points) Consider an SVM classifier using RBF kernel, and finish the following python code to search for the optimum kernel parameter γ. You are required to calculate the RBF function and search yourself, instead of using functions in Scikit-Learn (sklearn). def parameter search(gamma list ,Xtr,ytr,Xts,yts ,...): """ Parameters gamma list: A list of RBF kernel parameter gamma to search for Xtr: Training data, shape (ntr,nrow,ncol) ytr: Training labels, shape (ntr,) Xts: Test data, shape (nts,nrow,ncol) yts: Test labels, shape (nts,) ... Add other parameters as needed Returns: gamma optimum: The gamma with minimum error on Xts, yts """ ... return gamma optimum
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