Family Friendly Workplaces - 1223 Words

There is a vast amount of contest surrounding the issues of whether Australian workplaces are family friendly and are able to both accommodate and promote a healthy work-life balance for employees. This essay will discuss these issues by using evidence gathered from an array of both academic and secondary sources, with particular consideration being paid to the notion and ideal of a family friendly workplace existing within Australia. The first aspect that will be discussed is the concept of a family friendly workplace and specific examples of Australian workplaces that implement such practices will be explored. Second, the legislation and union involvement that is associated with implementing family friendly policies in Australian†¦show more content†¦51). As a part of their representation and constant struggle for the rights of workers and their families, the Australian Council of Trade Unions has addressed the need to have family friendly policies and practices, with an emphasis on work hours, introduced into Australian workplaces under law. Although Trade Unions play a fundamental role in the provision of family friendly policies, the public sector has been known to demonstrate a higher level of acceptance and willingness towards implementing family friendly initiatives, as opposed to the private sector (Ravenswood Markey 2011, p. 500). This suggests that organisational factors have an immense impact upon the unions’ ability to influence workplace policies, no matter what they are in relation to. A study conducted by Ravenswood Markey (2011) demonstrated evidence that family friendly policies and the influence of a union is far more imaginable and favourable within workplaces that fall into the category of the public sec tor (Ravenswood Markey 2011, p. 500). For organisations to be willing and amiable in moving towards implementing family friendly policies, there first needs to be a strong union in place and the existence of collective bargaining relationships with management for this to be a possibility (Ravenswood Markey 2011 p. 501). Although there is a level of legislation and unionShow MoreRelatedHuman Resources - the Family Friendly Workplace1077 Words   |  5 PagesCreating a family-friendly workplace is a strategy that more and more business are employing to keep their staff happy and productive. Although family-friendly workplace policies are often very expensive to implement, many employers feel that the rewards are worth the investment. Family friendly workplaces serve an employee’s needs by allowing them to better balance work and family, and fulfill the needs of the employer by increasing employee satisfaction and productivity, and reducing turnoverRead MoreAre Family-Friend Workplaces Positive or Negative for Business?1082 Words   |  4 PagesAre Family-Friend Workplaces Positive or Negative for Business? The paper will examine a developing business trend of Family-friendly workplaces the positive or negative benefits and the cost of family –friendly policies in business. Some employers now provide family-friendly benefits to their employees such as flexible work arrangements, childcare, eldercare and employee assistance programs but is this good. Researchers have analyzed the cost effectiveness of these practices and how it effectiveRead MoreManaging Work Family Practices At The Workplace851 Words   |  4 Pages3.0 Managing work-family practices at the workplace 3.1 Introduction The generalizability of published studies related to harmonising the work and family domains are uncertain. The topic have been carried out in several studies investigating on aspects such as influencing the impact of practices in particular frameworks (Wood Stephen, 2007; Beham et al., 2012; Stock et al., 2013). As earlier scholar in this work and family interaction, Rapoport and Rapoport (1965) reported that the effectivenessRead MoreSupervisor Attitudes About Employee Work/Life Issues1340 Words   |  6 Pagesissues are critical to the success of any work-family initiative and play an integral part of two of the four components of family-friendly workplaces: workplace culture and climate and workplace relationships (see Sloan Work and Family Encyclopedia entries Family-Friendly Workplace and Work-Family Culture). In fact, one might say that supervisor attitudes are hurdles that must be cleared in order for an organization to achieve any level of â€Å"family-friendly†. Supervisor Attitudes: Ajzen and FishbeinRead MoreGender And Its Effects On Society1188 Words   |  5 Pagesgender is very salient in our society, it often has effects on more than just the individual level. When analyzing the institutions of work and family, one can see the influence that gender has on levels of discrimination, particularly against women. In this essay, I will examine these gendered institutions and the resulting effects this can have on families. This discrimination is particularly evident in the gendered division of labor. While this division is considered â€Å"traditional,† the splittingRead MoreEssay about Busman1552 Words   |  7 PagesHRM needs to implement motivation techniques and family-friendly policies to keep these necessary staff members. - The Contexts of HR: - HR is affected by developments and trends in four significant contexts; a) Workplace attitudes: The changes in the workplace that could potentially affect HR include the changes in employee’s expectations, more workplace flexibility, greater recognition of workplace-life balance and of human diversity in workplaces. b) Developments in technology: The introductionRead MoreCase Analysis789 Words   |  4 Pagesa man who works long hours in an unrelenting job-he is expected to spend–and maybe really wants to spend–more time with his kids, engage in more family activities and take care of household chores. III. Main Problem Problem how to manage the stress of balancing work and family IV. Answer the Question 1. How do the pressure of the family/work balance differ for men and women? Work/life issues have long been portrayed as a women’s issue. And the fact is, even while holding downRead MoreA Brief Note On Break The Cycle Of Disadvantage We Should Look At It From The Perspective Of A Woman886 Words   |  4 Pagescycle of disadvantage we should look at it from the perspective of a woman in the workplace. Organisational culture needs to shift away from the perceived ideal worker and begin to embrace a new model to support women in the paid workforce. Research has shown that providing family friend benefits does not further segregate women. The implementation of family friendly programs has shown to broadly impact the workplace by increasing commitment and productivity (Casper Buffardi 2004). Research showsRead MoreHow American Sexism Has Changed Over The Years, But It Is Far From Perfect?853 Words   |  4 PagesAmerican sexism has changed dramatically over the years, but it is far from perfect. Today many women in America face sexism in many areas thr oughout their lives; especially in workplaces. Women face sexist stereotype that holds them back from rising up as corporate ladders, especially in jobs that have a high ratio of men compared to women. Sexist comments such as â€Å"women are weak to do this kind of job† , â€Å"these are men s jobs† and †women are too emotional to work† often causes a woman to be cautiousRead MoreInternal And External Influences That Help Shape Businesses871 Words   |  4 Pagesbusiness. The characteristics of the two organisational structures reflect the important influence management has on business such as having direct communication as opposed to a line of communication. However, direct communication and collaborative workplaces allow a more cohesive and inclusive business culture. Thus, driving the business towards productivity and success. Business culture: Culture is the values, ideas, expectations and beliefs shared and performed by the staff and managers of a business

Iris Van Herpen Exhibition Utrecht Free Essays

The New Craftsmanship Iris van Herpen? and her Inspiration â€Å"With my work I intend to show that fashion can certainly have an added value to the world† In the Centraal Museum of Utrecht, Netherlands, renowned fashion designer/artist Iris van Herpen (1984) exhibits a highly personal side of her work for the public from 29 June until 9 October 2011. By contrasting her designs with what worked as the inspiration behind them, van Herpen’s futuristic approach to fashion is displayed with art dating back to the sixteenth to the nineteenth century creating an unusual opposition in the general mood of the show. In addition to a contrast between old and new, one will also find work by other contemporary artists that have inspired van Herpen or collaborated with her. We will write a custom essay sample on Iris Van Herpen Exhibition Utrecht or any similar topic only for you Order Now These include artists such as American-born sculptor Kris Kuksi; Dutch choreographer Nanine Linning; hat designers Stephen Jones and Irene Bussemaker; Dutch artist Bart Hess who shares van Herpen’s futuristic approach in his work; and architect Daniel Widrig whose main influence in the show was with 3D printing. Upon entering the exhibition one enters a calm space with soft music playing in the background. Looking up towards the high raised ceiling you can see Nanine Linning’s opera inspired performance piece with van Herpen’s extravagant costumes and haute couture creations in larger than life projections on the bare white walls. Below these displays one would find the original costumes as seen in the performance. Referring back to the contrast between old and new, or rather ancient and innovative, it was interesting to note which of van Herpen’s designs were paired up with what ancient artefact and why. Leaving the theatricality of Linning behind, the show carries you away from the modernity of projectors through to a series of antique items including a bookshelf, chairs and tables as well as paintings by the popular Parisian painter Pierre Joseph Sauvage and an expensive silk wall panel from Lyon in France. These were shown next to one of van Herpen’s more ‘wearable’ garments, a dress, which could be assumed to be made of fabric containing metal threads, having been concentinaed to create a voluminous shape reminiscent of coral reefs. Similar to the layout of the exhibition, Van Herpen’s approach to fashion stems from the interaction between handmade, an old-fashioned method of construction, and innovation, through constant pursuit of new techniques and materials. One of van Herpen’s most recently discovered techniques is a form of rapid prototyping called 3D printing. This technology came into use in 2003 mainly for duplicating valuable artefacts for museums. Cleverly, through collaboration with architect Daniel Widrig, van Herpen uses this technology to create what looks like sculpted dresses or headgear, once again reminiscent of the shape of coral reefs or some sorts of skeletal forms. This side of van Herpen’s collection was shown alongside work of goldsmiths form the seventeenth-century. This juxtapose truly emphasized the origins of the inspiration for her designs. There was an apparent connection between the auricular styled crockery, plates, crowns etc. and her laser sintering technique. With further regard to the 3D printing technique, the designer herself believes, â€Å"it is a matter a time before we can print the clothing we wear today†. It is truly inspiring to see an artist of such a young age produce something that has the prospects of having a massive impact on the industry itself and, well, everything really. If we can produce our clothing with 3D printing technology, maybe we can also produce furniture through the same process, or even houses, maybe even bridges and buildings. Just imagine! As for the overall impression of the exhibition itself; the concept and story behind it was thoughtful and interesting, the layout was appealing, and the work itself was beautiful and innovative. How to cite Iris Van Herpen Exhibition Utrecht, Papers

Detecting Telecommunication Fraud-Free-Samples-Myassignmenthelp

Question: Discuss about the Telecommunication Fraud. Answer: Introduction Fraudulent telecommunication activities are common through un-mastered computer systems. This project proposal presents the detection of the problem of telecommunication fraud using the various notable techniques of data analytics. The tools that are available to detect the potential telecommunication activities which are fraudulent comprise of a computer machine interfaced to receive a call information and putting it to record. Operators within the computer are used set up to compare the parameters in a current call with the past general practice of that particular subscriber. The output will indicate the areas where there is potential fraud(Palacios, 2016). The comparing tools use structured data analytics tools as presented in this report. Aims, objectives and possible outcomes Aims The purpose of detecting telecommunication fraud is to create an opportunity to identify key potential fraud areas, identify instances of fraudulent operations and catch up with it to safeguard a telecommunication system. The result is a system that is free from fraud to guarantee the interests of the management, system administrators, and the clients. Many institutions handle large volumes of call data subsequently. A minute can record up to 29 calls in a standard organization. Calls will always range from satisfaction complaints, suggestions and feedbacks from customers, dealers and the employees in their regular operations. Objectives The purpose of the report is to enable the users of a telecommunication system accurately pinpoint and eliminate fraud as a source of loss to an organization. The large amounts of communications data operated are difficult to verify their levels of being genuine. The only way to handle this task is the implementation of an automatic system for data analytics. Data will comprise of old calls of a particular caller, the current call record, and fraud results. Data mining tools are used to suspected call records mined from information haystack will be compared to records and display the results(Orlaith, 2016). Possible outcomes The resulting outcomes are scripts of call information branded as being fraud related. When the data analytics tools are implemented, there will be a higher possibility of detecting fraud in telecommunication, stop progress cases and a consequent investigation to safeguard the interests of the organization. The prevalent costs are the primary inhibiting factor for the implementation. A proper application of data analytics tools will enhance the process of achieving the overall goals of the organization. A successful process also improves the image of an organization to the publics and the investors(Omar, 2017). Few firms that are financially viable in the country have already adopted a fraud detection most reporting positive progress disregard of the accompanying costs in development. It forms a significant achievement in growth. All human and robotic fraud attempts are maintained(Salgado, 2016). Background of the problem Both the wireless systems and the systems that use transmission lines from telecommunication systems. Telecom fraud is an unauthorized usage in which the user has not yet paid for the services. Monitoring systems provide the apparatus and tools to detect the potential usages of such applications. Access to information is becoming essential in every field of business, government, and science with much increase in the use of wireless systems. Fraudulent usage of telecommunication systems is also on the rise causing up to a total of not less than $600 billion in a year, and the high figures have created a desirability for a system to detect and prevent those activities(Monde, 2017). The varieties of fraud include tumbling fraud using different IDs which are generated to place different calls. It is easy if pre-call verifications for the IDs are not conducted(Zolotov, 2017). The user identifications will then remain to be unassigned and cannot be billed. The calling card fraud is done by misappropriating a valid call card number and using it to make calls with billing done to the unsuspecting subscriber. Cloning fraud is associated with cellular systems through plundering a valid customer identification, cloning the ID into a mobile phone which is used for the billing made at the subscriber's ID. A tumbling-clone fraud hybrids the tumbling and the cloning type scams. Cellular phone calls are placed on successive customers' IDs all programmed into the telephone. The tumbling-clone fraud is harder to detect among all the others. Another type is the subscriber fraud conducted by a rather valid customer(Monde, 2017). The customer uses a system without the intention o f paying and continues to do so until access to the service is blocked. The current nature of the problem The analytics tools available include the spectral clustering technique, the cross-object relationships, the Recency, Frequency and Monetary method (RFM) and the Customer Lifetime Value. System implementation poses tremendous operating costs for business and hence acquisition is limited to big telecommunication companies. Furthermore, the nature of the problem is complex and needs to be regularly reviewed due to the flexible nature of fraud. Few service providers are available in the industry to be sourced which makes the prices to rise higher. The database nature of the fraud has also made it difficult to outsource services from external solution providers. The delicate natures of business and industry competitiveness call for extreme privacy in internal issues(Lopez, 2017). Data analytics scenario and methodology Formulation of the problem and data mining techniques The Cross Industry Standard Process for Data Mining (CRISP-DM) is the leading approach used in data mining because of its effectiveness. The other methodology for conducting the process is the SEMMA. The ASUM-DM, Analytics Solution Unified Method for Data Mining has been released lately to refine and extend the CRISP-DM. The phases of the CRISP-DM will give the business and data understanding, preparation of data, modeling, evaluation, and deployment. In the telecommunication industry, it is hard to the next date, time and duration of the genuine subscribers(Jaratsri, 2017). Subscribers do not have a standard frequency of making calls even for the biggest customers. In solving the problem, customers are categorized using the loyalties perceived on them. The method will help to classified by their most likely next use. Data must be collected and analyzed according to types, the method of recording, their storage formats, and any other possible changes. The clustering method is the best to use when classifying subscribers data. It will ease prediction to analyze the data and a model that will be useful in future decision making. The analysis is done by the predictions for specific categories(Lersel, 2017). Data collection and organization strategy The Cross Industry Standard Process for Data Mining lays down the process for tackling the fraud problem. The data collected is prepared for the modeling stage. Data collection is followed by familiarization to identify the quality problems and get insights. Subsets are created to form hypotheses about hidden information. Preparation of data covers all activities concerning the subscribers to enable construction of a final dataset. It can be done for multiple times. The processes are done in data preparation cover past call records in tables, selection of the subscribers' characteristics and a transformation succeeded by cleaning of data in preparation for modeling. In the modeling phase, several techniques are available(Lersel, 2017). The parameters are attuned to optimal values. All the methods available for data mining will solve the same problem of fraudulent users in telecommunication and seem to have similar data from requirements. Data mining methods The Cross Industry Standard Process for Data Mining (CRISP-DM) It has six phases as indicated below which are non-directional. The process is continuous even after finding the solution. It is required that the business is defined regarding its objectives. The purpose of the firm is the detection of fraud. The standard decision model is used as a design plan. The preliminary data collected must be analyzed to identify problems with its quality. Data subsets are also formed here. Data is cleaned up and attributed for a multiple of times. The final set of data is prepared to be fed in the modeling tools. The modeling methods have preset standard values with similar and specific data requirements(Itani, 2017). Models are built for data analysis according to the quality parameter. The steps executed in the construction of the models must be thoroughly reviewed to achieve telecommunication objectives. At deployment, data is presented to the administrators depending on their requirements. Report generation, data scoring, and data mining from things that should be considered. The client telecommunication firms are made to develop an appropriate business strategy. Sample, Explore, Modify, Model and Assess (SEMMA) model It is another statistics and computer intelligence support software that guides data mining. It is a logical functional tool for organizing data in a generalized manner(Longjun, 2017). Sampling involves selection of a large set of data for modeling sufficient information. Data is partitioned into small samples for efficiency. Data is then analyzed to understand relationships between the variables and the anomalies. Modification selects, create and transform the variables as the modeling phase creates models that will provide the desired output. Assessment is done to view the results regarding usefulness and reliability(Figueiras, 2016). The criticism on SEMMA is its focus on modeling alone. Analytics Solution Unified Method for Data Mining (ASUM-DM) It is an extension to CRISP-DM refined by the IBM computer company. It covers all the properties of the preluding application and extends it with a functionality of more detailed smaller sets which most analysts label as too complex reducing its popularity(Hofmann, 2016). Knowledge Discovery in Database (KDD) It describes technologies and methods to assist people in extracting information that is useful from volumes of information that expands rapidly. Evaluation of the results The assessment of results calls for an evaluation of data. The mining of results will be done hand-in-hand with the principles of business success. The models are acceptable according to world standards. The process is not a final process but a continuous process. The next thing is to outlay the solution and then formulate a decision. The model results must be tested on a simulation platform to access the accuracy levels(Darshana, 2017). Deployment of results into business The final phase of the CRISP-DM methodology is the implementation of the decision. It should be done within the first month to avoid a further loss of the business. The business has to develop appropriate strategies to comply the analysis solutions(Fahmi, 2017). Continuous monitoring and maintenance must be effected because the fraud environment evolves each day. The business findings must be documented in a final report for presentation to the client. An expert review of the documentation will eliminate possible errors. An error free documentation will provide the reference in succeeding analysis to prevent a repeat of the already perfectly handled areas which could create additional costs for the business and waste time on the already handled issue. Records also facilitate tracking of the identified fraud cases(Al-asadi, 2017). The client will be required to keep a regular contact with the analysts for support on any needed assistance. Bibliography Al-asadi, T., 2017. A Survey on Web Mining Techniques and Applications. International Journal of Advanced Science, Engineering and Information Technology, 7(4), pp. 1178-1184. Darshana, P., 2017. Privacy-Preserving Associative Classification.. Cham, Springer. Fahmi, N., 2017. Fuzzy Logic for an Implementation Environment Health Monitoring System Based on Wireless Sensor Network. Journal of Telecommunication, Electronic, and Computer Engineering, 2(4), pp. 119-122. Figueiras, P., 2016. Big Data Harmonization for Intelligent Mobility: On the Move to Meaningful Internet Systems. Cham, Springer. Hofmann, C., 2016. A Two-Layer Method for Sedentary Behaviors Classification Using Smartphones. Tokyo, Springer. Itani, N., 2017. LINK MINING PROCESS. Journal of Technology and Science, 7(149), pp. 254-261. Jaratsri, R., 2017. Data Mining Techniques for Predicting. Journal of Telecommunication, Electronic, and Computer Engineering, 2(4), pp. 95-99. Lersel, V., 2017. Going concern decision prediction using predictive analytics. Analytics, 1(9), pp. 43-44. Longjun, Z., 2017. Privacy-Preserving Data Mining on Big Data Computing Platform: Trends and Future. Cham, Springer. Lopez, J., 2017. Application of Data Mining Algorithms to Classify Biological Data. Cham, Springer. Monde, A., 2017. Application of Data Mining techniques to identify the significant patterns. Stellenbosch, Stellenbosch University. Omar, N., 2017. Home-Based Intrusion Detection System." (JTEC) 9.2-4 (2017): 107-111.. Journal of Telecommunication, Electronic, and Computer Engineering, 2(4), pp. 107-111. Orlaith, M., 2016. Predicting Intake of Applications for First Registration in the Property Registration Authority. Dublin Institute of Technology, 4(17), pp. 133-139. Palacios, H., 2016. A comparative between CRISP-DM and SEMMA. Journal of Technology, 3(9), pp. 1-93. Salgado, R., 2016. Data mining and cluster organisations. Database Systems, 7(4), pp. 1-59. Zolotov, I., 2017. Data mining in cloud usage data with Matlab's statistics and machine learning toolbox. London, IEEE.