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澳洲英语语言研究学论文代写:社交媒体分析

Edosomwan等人(2011)在提出战略调整模型时认为,企业应该尝试将IT价值直接与业务模型联系起来,即为利益相关者管理的价值是主观的,并且对利益相关者的看法具有竞争优势。现在,消费者作为B2C沟通案例的利益相关者意味着DBS将不得不专注于社交媒体分析中的指标开发。什么指标增加了战略联盟如下。首先,它确保星展集团能够以更具操作性的方式来衡量它想要衡量的内容。这样就可以在不同部门之间建立度量标准,而理解成功的数量是正确的,不仅仅是描述性的(Wilkinson等,2015)。在对一些现有社交媒体分析的批判性分析中,研究人员认为社交媒体分析的观点主要是描述性的(Kietzmann等,2014)。例如,一家公司最终将跟踪客户数量,每个其他可能登录该网站的人都应被视为消费者(Evans,2010; Sharda等,2013)。

澳洲英语语言研究学论文代写:社交媒体分析
虽然这种观点适用于企业对消费者群体的分析,但它不适用于企业对企业群体。在企业对企业集团中,分析转换需要非常严格的指标。其次,可以认为,对于星展银行而言,理解如何实施指标转换将是至关重要的(He et al。,2013)。在企业对消费者分析中追踪的消费者指标(跨越企业对企业分析的映射)实际上会更加重要(Fen et al。,2010)。插值将是可能的,因此转换比仅用观众指标工作更重要。有多少用户在您的网站上发布了推特信息 – 例如DBS网站可能是企业对消费者的指标(Fan&Gordon,2013)。除此之外,还要考虑如何使用企业对企业的指标,比如推特人是否与来自与DBS合作的业务的内部利益相关者可能会导致更多的连接性信息。

澳洲英语语言研究学论文代写:社交媒体分析

Edosomwan et al. (2011) in presenting a strategic alignment model argued that businesses should attempt to link IT values directly to the business model that the value managed for the stakeholder is subjective and is competitively advantageous for that stakeholder perception. Now consumer as stakeholder in the case of the B2C communication would mean that DBS will have to focus on development of metrics in social media analytics. What metrics add to strategic alignment is as follows. Firstly, it ensures that DBS is able to measure what it wants to measure in a more operationalized way. This creates metric awareness across its different departments and the numbers for understanding successes are righty managed and are not just descriptive (Wilkinson, et al., 2015). In critical analysis of some of the existing social media analytics, researchers have argued that the social media analysis standpoint is mostly descriptive (Kietzmann et al., 2014). For instance, a company would end up tracking the numbers of customers, and every other person who would probably log into the website should be considered a consumer (Evans, 2010; Sharda et al., 2013).

澳洲英语语言研究学论文代写:社交媒体分析
While this viewpoint works for analytics for a business to consumer group, it would not work for a business to business group. In business to business group, the analytics conversion would need very rigid metrics. Secondly, it could be argued that for DBS, it would be critical to understand how metrics conversion could be implemented (He et al., 2013). A consumer metric which has been tracked in Business to consumer analytics as mapped across business to business analytics would actually be more significant (Fen et al., 2010). Interpolations would be possible, and hence conversion holds more significance than working with just an audience metric. How many users tweeted from your site -DBS site for instance could be a business to consumer metric (Fan & Gordon, 2013). In addition to this also consider how the use of a business to business metric, like whether the person who tweeted is an internal stakeholder from the business partnering with DBS could lead to more connective information.