MGT602_Assess 3_Research Analysis 1 of 10 ASSESSMENT 3 BRIEFSubject Code and TitleMGT602 Business Decision AnalyticsAssessmentResearch AnalysisIndividual/GroupIndividualLengthUp to 2000 wordsLearning Outcomesa) Select and evaluate the usefulness of a range ofdecision making tools and reflect on yourdecision-making styles and contrast with otherstyles to determine the respective levels ofrationality and intuition utilisedb) Compare, contrast and critically evaluate sourcesof data as influences for decision-making in arange of business contextsc) Examine and evaluate decision making systemsand techniques to engage group decisions andanalyse how these can enhance sustainableoutcomesd) Critically examine emerging tools andtechnologies for decision makingSubmissionBy 11:55pm AEST/AEDT Friday of Module 6.1 (Week 11)Weighting40%Total Marks40 marks Context:Working environments are constantly changing, with contemporary organisations readily adoptingnew and innovative ways to bring groups of people together. One of the ways organisations haveovercome globalisation demands is through the formation of virtual teams. Virtual teams/groups arewhere individuals, rather than working face-to-face, operate in networked environments supportedin their communication and physical presence through technology and virtual group membership.Here, skilled empowered individuals are required to operate outside their traditional organisationalworkplaces, instead working across the city or across the world, joined together by systems oftechnology, but working in physical isolation from one another.This growth in virtual groups has come at a time of rapid and multidimensional change whereestablished, traditional approaches to communication have been force fitted over newly emergingworkgroup structures. Managers will clearly need to take on and make good use of available andemerging technologies to enhance their own their group’s functioning and their organisation’sdecision making and change management skills.MGT602_Assess 3_Research Analysis 2 of 10Understanding the use of technology, the psychosocial costs and communication challenges in thistechnology-based environment will become essential ingredients for effective virtual managers andis the focus of Assessment 3. Organisations, keen to harness information-based resources held in theform of data in staff members’ heads and evident in unstructured form in their emails, texts andconversations will need to use appropriate technology and group process in collaboration betweenstaff to capture the resources. Information -based resources in tacit or unstructured data form canbe mined and translated into explicit form to identify key organisational assets. Resources onceidentified can be leveraged to provide the enterprise with competitive advantage.InstructionsTo successfully complete Assessment 3 students are required to; Read and discuss both Scenario A AND Scenario B Provide an individual Research Analysis covering all required fieldsScenario AIs set in a mid-sized Australian organisation of 800 people, 80 of whom are involved in research,development and design (R, D &D) work. The organisation is keen to identify the innovative/creativecapabilities held by their RD&D staff and use these capabilities to differentiate the business fromtheir competitors. The organisation has set up a project to research R, D & D innovative/creativecapabilities held tacitly by staff and in their unstructured communication.Tacit information can be best accessed and converted to knowledge by accessing email -basedcommunication between RD&D staff. RD&D staff members’ emails and their rates and direction ofconnectivity have accordingly been mapped over a one-week period. The results of this researchaudit have been made available on the attached Map of R, D & D unstructured Informationcontained in emails.Assessment 3 Scenario A DataThe map identifies each staff member and the work station they have logged onto, by node (circlewith a number inside). Rates of connectivity are shown by lines connecting the different nodes andthe direction and intensity of traffic by the numbers of lines into/out of nodes.The project will call for interpretation of the map and decisions made on who to bring together todiscuss the content and collaborate in making tacit unstructured information drawn from emailsexplicit and therefore suitable for use by the organisation. Several ‘meeting rooms’ will be madeavailable to selected RD&D staff, each with a facilitator, visual aids and a groups decision supportsystem to link and summarise up meeting room outputs.This project will make use of a group-based communication technology system to support meetingsbetween staff members and help make staff members’ tacit data/information explicit. To facilitatethis process resources available in each meeting room will guide group process and ensure that eachmeeting room’s participants collaborate with one another, and with groups in other meeting roomsin generating explicit knowledge.TaskMGT602_Assess 3_Research Analysis 3 of 10 After considering the map constructed from 70+ company staff members’ emails over a oneweek period you are required to help make sense of the tacit data held in those emails You should start by identifying naturally occurring clusters of R, D & D staff. Number thoseclusters one to six and show the nodes (numbered staff and terminals) you have decided toinclude in each cluster Move to the next step of selecting two key members (use rates of inter connectivityconnecting lines) from each of the clusters to attend the meeting areas and work withfacilitators and GDSS technology in generating explicit knowledge Identify each cluster from one to six and show each cluster’s constituents. In the tablebelow.Clusters Nodes Identified per Cluster1 2 3 4 5 6Attach a meeting room identifier to each cluster using letters A-F to show key R, D & D staffaccording to their cluster and meeting room.Key members of clusters selectedRooms Clusters Key Members Selected to Attend MeetingsA 1B 2C 3D 4E 5F 6Discussion Questions: How did you decide on type and size of each of the six clusters?MGT602_Assess 3_Research Analysis 4 of 10 What was the basis for your selection of nodes in the clusters? Did you include ‘dangling nodes’ in your analysis? Why or Why Not? Did you include unconnected nodes in your clusters? Why or Why not? What was your justification for selecting two R.D & D staff per each cluster to attendmeeting areas over others in different clusters?Scenario BThis case is centred around an Australia wide service-based organisation. Head office is inMelbourne, Australia and the organisation consists of 200 service staff, across 10 service centres,reporting to 40 managers. The organisation is keen to determine levels of service support provided bytheir staff and has instituted a project to capture what it means to be a service person and identifyperceived support provided by management.A series of telephone and face-to-face interviews have been conducted across field staff andmanagement and the results recorded. The words recorded in individuals’ stories captured throughinterviews have been processed by Leximancer, a qualitative analysis tool capable of making sense ofvast amounts of data.Assessment 3 Scenario B DataThe Leximancer process of analysis can define meaning through deep analysis of large amounts oftextual data.Task Take note of the relative size of the balloons (concepts) and the lines connecting, or notcollecting, the concepts. Consider the Leximancer content analysis map showing the concepts surrounding field staff,managers and customers and the communication, or lack of it between these concepts. Consider the map carefully, identifying key concepts and their relative relationships, thendescribe the more important and less important relationships shown.Discussion Questions: What form does the field service staff members’ communication take? Who are they most likely communicating with, and about what? Is there a high level of communication between managers and customers? How important has support availability been? How open is communication between field staff and management? Describe the nature of results communicated by field staff What part do managers play in communicating results?Use the results of your analysis to inform your decisions on the following. Are managers sufficiently customer facing to justify an introduction of an incentive paymentsystem for them. Why or Why Not? Should the organisation bolster management’s role or rather establish empowered selfmanaged field service teams to better reach customers?MGT602_Assess 3_Research Analysis 5 of 10 Has support proved to be effective enough to justify support increases Should customer-service communication be changed towards one of greater openness. Whyor Why Not?Suggested formatA possible structure for your Research Analysis is shown below. Cover page Executive summary Introduction Bodyo Discussion of Scenario Ao Discussion of Scenario B Recommendations Conclusion AppendicesYou may make any necessary assumptions; however, any significant assumptions should be detailedin your Research Analysis.Submission Instructions:This Research Analysis is to be written according to academic writing guidelines and must besubmitted in compliance with the following;1. You should make significant references to the subject material and substantial widerreading. A minimum four (4) academic (books & peer-reviewed journal articles) & two (2)other sources (newspaper article, trade publications, websites, etc.) must be used. Theseshould be referenced in the APA style, both in-text and in your reference list. References to‘Wikipedia’ or similar unsubstantiated sources will not be accepted.2. The assignment is to include in-text citations and a reference list following the latest APAreferencing style. The APA referencing guide can be in the Academic Writing Guide athttp://library.think.edu.au/ld.php?content_id=18822543. Submit Research Analysis (with references) via the Assessment link in the main navigationmenu in MGT602 Business Decision Analytics on the Student Portal. The Learning Facilitatorwill provide feedback via Grade Centre in the Student Portal. Feedback can be viewed in MyGrades.Students should use the brief to guide what to include in the assessment and the following rubric toinform the standard required.MGT602_Assess 3_Research Analysis Page 6 of 10Learning Rubric: MGT602 Assessment 3 Research Analysis AssessmentAttributesFail (Unacceptable)0-49%Pass(Functional)50-64%Credit(Proficient)65-74%Distinction(Advanced)75 -84%High Distinction(Exceptional)85-100%Application ofConceptualFrameworks ininterpretingunstructured,patterned dataPercentage for thiscriterion30%Unable to analyse andmake sense of patternsof data and provide auseful interpretation ofthat dataMakes some sense of thedata patterns but does notprovide a usefulinterpretationDemonstrates a soundinterpretation of datapatterns and provides auseful interpretationDemonstrates a goodunderstanding ofpatterns of data. Showsan ability to interpretand apply the results ofsense making analysis tospecific taskenvironmentsA sophisticatedunderstanding of thepattern recognition andsense making process.Demonstrated soundunderstanding of theoutcomes of analysis. Ableto apply this understandingacross different situationsand task environmentsAble to discriminatebetween and operate ondifferent types ofunstructured data.Provides soundinterpretations ofunstructured data and anability to make explicitApplication ofConceptualFrameworks to dataDriven DecisionMakingLittle or no referencemade to conceptualframeworks,understanding of dataanalytics or theoreticalmodels of decisionmakingBasic coverage of at leastone relevant conceptualframework, understandingof data analytics and canprovide one model ofdecision makingClear coverage andcomparison of at leasttwo models and someunderstanding of dataanalytics and relation toframeworks for decisionWell-developedunderstanding of thefield of data analyticsand relation to decisionmaking as demonstratedby coverage of multiplemodels and frameworksA sophisticatedunderstanding of dataanalytics and relation tothe decision-making field.Demonstratedunderstanding of multiplemodels and conceptual MGT602_Assess 3_Research Analysis Page 7 of 10 Percentage for thiscriterion20%making, including someevaluations.and evaluation ofappropriate use ofmodels to meet specifictask environmentsframeworks and evaluationof appropriate use ofmodels to meet specifictask environmentsAble to use understandingof data analytics to informselection, uses of decisionmodels.Covers appropriatematching of decisionmodels with outcomesfrom research and dataanalyticsUnderstanding ofDecision Analyticsand use in makingdecisions, formingRecommendationsPercentage for thiscriterion20%Limited understandingof key conceptsrequired to meet therequirements of thecase studies.Confuses logic andemotion in datahandling, makingdecisions and formingrecommendations.Reaches conclusionswithout considerationof relationshipsbetween data entities,concepts, themes.Some understanding ofkey concepts required tomeet the requirements ofthe case study.Confuses logic andemotion in data handling,decision making and inmaking recommendations.Reaches conclusionswithout consideration ofdate, informationpresented.Analysis and evaluation ofdata sets do not reflectclear understanding ofSupports interpretationsof data through carefulanalysis and providesconclusions based onthat analysis,Does not confuse logicand emotion in datahandling, decisionmaking nor makingrecommendationsDecisions andrecommendations arebased on analysis.Demonstrates a capacityto explain and applyDiscriminates betweenassertion of opinion andinformationsubstantiated by robustevidence from analysisand understanding ofresults of data analytics.Does not confuse logicand emotion in datahandling, decisionmaking nor makingrecommendationsDecisions andrecommendations arebased on analysis.Discriminates betweenassertion of opinion andinformation substantiatedby robust evidence fromanalysis and understandingof results of data analytics.Does not confuse logic andemotion in data handling,decision making.Recommendations andDecisions are based onsound data analysis.Well demonstratedcapacity to explain andapply relevant concepts on MGT602_Assess 3_Research Analysis Page 8 of 10 data nor of relationshipsbetween data.relevant concepts to dataanalytics, in decisionmaking, and in justifyingdecisions,recommendations.Well demonstratedcapacity to explain andapply relevant conceptson data handling,making, justifyingrecommendations.Demonstrated ability toprocess data sets andholistically, definerelationships betweendata concepts andformulate conclusionsmake recommendationsand decisionsdata handling, making,justifyingrecommendations.Demonstrated ability toprocess data sets andholistically, definerelationships between dataconcepts and formulateconclusions makerecommendations anddecisionsAnalysis and evaluationreflect sound judgement,intellectual independence,rigor and adaptability.Exhibits an ability to Readbetween the lines throughinsightful intuiting ofmaterial presented incases.Can readily justify results ofresearch into data anddefend intuitiveinterpretation dataanalytics.EffectiveCommunicationDifficult to understandfor audience, nological/clear structure,poor flow of ideas,Information, argumentsand evidence arepresented in a way that isInformation, argumentsand evidence are wellpresented, mostly clearInformation, argumentsand evidence are verywell presented; thepresentation is logical,Expertly presented; thepresentation is logical,persuasive, and wellsupported by evidence, MGT602_Assess 3_Research Analysis Page 9 of 10 Percentage for thiscriterion20%argument lackssupporting evidence.Audience cannot followthe line of reasoning.not always clear andlogical.Line of reasoning is oftendifficult to follow.flow of ideas andarguments.Line of reasoning is easyto follow.clear and well supportedby evidence.Demonstrates culturalsensitivity.demonstrating a clear flowof ideas and arguments.Engages and sustainsaudience’s interest in thetopic, demonstrates highlevels of ethical, diversity,and business sensitivityEffective use of diversepresentation aids, includingtables, data sets, graphs,spreadsheets MGT602_Assess 3_Research Analysis Page 10 of 10 Referencing inSupport of ArgumentPercentage for thiscriterion10%Demonstratesinconsistent use ofgood quality, credibleand relevant resourcesto support and developideas.Demonstrates use ofcredible and relevantresources to support anddevelop argument, butthese are not alwaysexplicit or well developed.Demonstrates use of highquality, credible andrelevant resources tosupport and developideas.Demonstrates use ofgood quality, credibleand relevant resourcesto support and developarguments andstatements. Showsevidence of wide scopewithin the organisationfor sourcing evidenceDemonstrates use of highquality, credible andrelevant resources tosupport and developarguments and positionstatements. Showsevidence of wide scopewithin and outside theuniversity for sourcingevidence
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