– Questions based on the case Study as per the attachment

Case Study

Monsooned: A case study on project deadlines, the Indian ‘yes’ and high-context versus low-context communication.

Rebecca works with United Technologies, a Chicago based company. She is talking on the phone to Abhinav, the manager of one of United Technologies vendors for customer service outsourcing.

Rebecca: We really need to get all of the customer service representatives trained on our new process in the next two weeks. Can you get this done?
Abhinav: That timeline is pretty aggressive. Do you think it’s possible?
Rebecca: I think it will require some creativity and hard work, but I think we can get it done with two or three days to spare.
Abhinav: Ok.
Rebecca: Now that our business is settled, how is everything else?
Abhinav: All’s well, although the heavy monsoons this year are causing a lot of delays getting around the city.

Two weeks later…
Abhinav: We’ve pulled all of our resources and I’m happy to say that 60% of the customer service representatives are now trained in the new process. The remaining 40% will complete the training in the next two weeks.
Rebecca: Only 60%? I thought we agreed that they all would be trained by now!
Abhinav: Yes . The monsoon is now over so the rest of the training should go quickly.
Rebecca: This training is critical to our results. Please get it done as soon as possible.
Abhinav: I am certain that it will be done in the next two weeks.

Questions based on the Above case Study:
1. Did Abhinav agree to the initial timeline requested by Rebecca?
2. What might Rebeccabe thinking about Abhinav?
3. What might Abhinav be thinking about Rebecca?
4. How will this incident affect their future interactions?
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Anova & T independent: Quantitative Analysis

Anova & T independent: Quantitative Analysis.

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Test number one: The T- independent test was used to test the null hypothesis that crime perceptions between Oman and UK are equal against the alternative hypothesis that there is a difference.

Each participant that took part in answering any of the survey three domains is represented within the below data. Not all participants took part in answering all the questions in the survey.

Table 12:

Crime assessment Mean Std. Deviation P Value Frequency
Male 3.88 0.66 0.025 103
Female 4.1 0.69 0.025 99

There was a significant difference in the mean scores of crime assessment and shame for gender female (M= 4.10, SD= 0.69) and male (M= 3.88, SD= 0.66) conditions; t (200) = -2.258, p = 0.025.

Table 14:

Crime Punishment Mean Std. Deviation P Value Frequency
Male 3.325 0.5864 0.953 104
Female 3.33 0.5438 0.953 96

 

There was not a significant difference in the mean scores of crime punishment female (M= 3.33, SD= 0.54) male (M= 3.33, SD= 0.59) conditions; t (198) = -.058, p = 0.953.

Table 16:

Crime seriousness Perception Mean Std. Deviation P Value Frequency
Males 36.73 9.25 0.83 110
Females 36.47 8.14 0.83 94

There was not a significant difference in the mean scores of crime seriousness perceptions for female (M= 2.16, SD= 0.46) and male (M= 2.18, SD= 0.54) conditions; t (189) = 0.241, p = 0.810

Table 15:

Crime Punishment Mean Std. Deviation P Value Frequency
United Kingdom 3.385 0.4579 0.142 105
Oman 3.265 0.6604 0.142 95

There was not a significant) difference in the mean crime punishment scores for United Kingdom (M= 3.39, SD= 0.46) and Oman (M= 3.27, SD= 0.66) conditions; t (198) = 1.503, p = 0.142.

Table 13:

Crime assessment Mean Std. Deviation P Value Frequency
United Kingdom 4.08 0.63 0.05 106
Oman 3.89 0.73 0.05 96

 

There was a marginal significant difference in the mean crime assessment scores for United Kingdom (M= 4.10, SD= 0.63) and Oman (M= 3.89, SD= 0.73) conditions; t (200) = 1.938, p = 0.054.

Table 17:

Perception Mean Std. Deviation P Value Frequency
United Kingdom 40.8 7.83 0 106
Oman 32.07 7.31 0 98

 

There was a significant difference in the mean scores of crime seriousness perceptions for United Kingdom (M= 2.44, SD= 0.45) and Oman (M= 1.90, SD=0.42) conditions; t (189) = 7.960, p = 0.0001.

Crime assessment item number Cronbach Alpha Crime assessment and shame  item number Cronbach Alpha   Crime punishment item number Cronbach Alpha      
           
15 0.62 13 0.35   17 0.86      

Cronbach’s Alpha for each of the three domains     

  Crime Assessment Crime Punishment Crime seriousness perceptions
Mean 3.99 3.33 2.17
Standard  Deviation

Summary of statistics of all three domains

The results for the T independent test reject the null hypothesis that crime perceptions and attitudes towards crime shame will be the same in both countries. The results indicate that United Kingdom ( country) and females ( gender) have a higher perception towards crime than Oman.

Quantitative Analysis

The two-way ANOVA is used to determine whether there is an interaction

Table :  Crime Assessment

  Male UK Male Oman Female UK Female Oman Total UK Total Oman
Mean 3.9 3.8 4.21 3.95 4.1 3.89
Std. Deviation 0.53 3.84 0.69 0.68 0.63 0.73

Mean and Standard deviation score for domain one crime assessment in regards to the independent variables gender and coutry

 There was no statistically significant interaction effect between gender and country of residence on “crime assessment” score, F (1, 198) = 0.902, p= 0.343, partial η2 = 0.005.

Table: Crime Punishment

  Male UK Male Oman Female UK Female Oman Total UK Total Oman
Mean 3.4 3.25 3.37 3.28 3.39 3.27
Std. Deviation 0.43 0.7 0.48 0.61 0.46 0.66

Mean and Standard deviation score for domain two crime punishment in regards to the independent variables gender and country

There was no statistically significant interaction effect between gender and country of residence on “crime punishment” score, F (1, 196) = 0.163, p= 0.687, partial η2 = 0.001. The simple main effect for gender was not significant, F (1, 196) = 0.0001, p= 0.998, partial η2 =0.0001. The simple main effect for country of residence was also not significant, F (1, 196) = 2.175, p= 0.142, partial η2 =0. 011.

       Table: Crime seriousness perceptions

  Male UK Male Oman Female UK Female Oman Total UK Total Oman
Mean 2.52 1.8 2.29 1.99 2.4 1.9
Std. Deviation 0.44 0.39 0.42 0.45 0.45 0.42

Mean and Standard deviation score for domain three crime seriousness and perceptions in regards to the independent variables gender and country

 

There was a statistically significant interaction effect between gender and country of residence on “attitude” score, F (1, 187) = 9.685, p= 0.002, partial η2 = 0.049. The simple main effect for gender was not significant, F (1, 187) = 0.437, p= 0.510, partial η2 =0.002. The simple main effect for country of residence was statistically significant, F (1, 187) = 61.989, p= 0.0001, partial

 

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The Porn Wars Compare the “Sex Positive Feminists” and the “Anti-Porn Feminists.”

– Questions based on the case Study as per the attachment The Porn Wars Compare the “Sex Positive Feminists” and the “Anti-Porn Feminists.”.

READ: Lisa DiCaprio’s “Not a Love Story: The Film and the Debate.” https://www.ejumpcut.org/archive/onlinessays/JC30folder/NotLoveStory.html#8n (Links to an external site.)Links to an external site. Read: Interview with Catherine MacKinnon in “Defining Pornography,” off our backs, June 1984. (I will upload the file later) Read: Fresh Flowers, Plenty of Lube: Inside the World of Feminist Porn https://www.rollingstone.com/culture/culture-features/fresh-flowers-plenty-of-lube-inside-the-world-of-feminist-porn-124571/ Links to an external site. Response Paper: Compare the “Sex Positive Feminists” and the “Anti-Porn Feminists.”

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Artificial intelligence threat to UK

Artificial intelligence threat to UK.

Description Essay Question: “Artificial intelligence is the greatest threat to UK employment in the near future.” To what extent do you agree with this statement? Provide examples and evidence to support your arguments.

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Application of ICTs in Hospitality Industry

Application of ICTs in Hospitality Industry.

Application of ICTs in Hospitality Industry

 

Paper details:

1. The dissertation guide is attached. It contains all information needed. 2. Introduction part. I already have “Aim and objectives”, it’s attached. “Background to research” should contains at least 15 references. 3. Literature review part is attached. 4. Methodology part. At least 20 references should be used in this part. The method for primary data collection is questionnaire. The information about it and the results is attached. SWOT analysis also should be used, I have already done it, it’s attached. 5. At least 15 references should be used in Chapter 5.

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