Shaping Content Strategies with User Analytics and Identities

2015 ◽  
pp. 111-132
Author(s):  
Tricia Syed
Keyword(s):  
Data Capture ◽  
Relational Data ◽  
Core Data ◽  
New Business ◽  
User Data ◽  
Content Strategy ◽  
The Impact ◽  
Data Optimization ◽  
Strategy Marketing

User data has become the foundation of many businesses. The ability to increase the breadth and depth of user data to analyze trends is now the roadmap for information companies – providing direction for new business, content strategy, print to digital shifts and overall retention and engagement. In this chapter, the author will explore user identity and the three key core data buckets – Profile, Activity, and Behavioral – that define how to decipher audience members and their ‘user records.' The chapter will specifically showcase how user identity shapes editorial strategy, marketing messaging and drives revenue. It will look at the impact specific technologies are having on what data can be captured as well as the complexities around data capture in general – standardization, preservation, storage, relational data opportunities and data optimization.

Shaping Content Strategies with User Analytics and Identities

Big Data ◽  
2016 ◽  
pp. 1209-1228
Author(s):  
Tricia Syed
Keyword(s):  
Data Capture ◽  
Relational Data ◽  
Core Data ◽  
New Business ◽  
User Data ◽  
Content Strategy ◽  
The Impact ◽  
Data Optimization ◽  
Strategy Marketing

User data has become the foundation of many businesses. The ability to increase the breadth and depth of user data to analyze trends is now the roadmap for information companies – providing direction for new business, content strategy, print to digital shifts and overall retention and engagement. In this chapter, the author will explore user identity and the three key core data buckets – Profile, Activity, and Behavioral – that define how to decipher audience members and their ‘user records.' The chapter will specifically showcase how user identity shapes editorial strategy, marketing messaging and drives revenue. It will look at the impact specific technologies are having on what data can be captured as well as the complexities around data capture in general – standardization, preservation, storage, relational data opportunities and data optimization.

scholarly journals The Relationship between Strategic Orientation, Service Innovation, and Performance in Hotels in Angola

2021 ◽  
Vol 13 (11) ◽  
pp. 6256
Author(s):  
Gerdina Handa Serafim ◽  
José Manuel Cristóvão Veríssimo
Keyword(s):  
Developing Countries ◽  
Customer Orientation ◽  
Positive Impact ◽  
Group Analysis ◽  
Strategic Orientation ◽  
New Business ◽  
Competitor Orientation ◽  
And Performance ◽  
Technology Orientation ◽  
The Impact

This paper aims to investigate the impacts of customer orientation, competitor orientation, learning orientation, technology orientation, and entrepreneurial orientation on hotel innovation and performance. Data from 69 hotels in four Angolan provinces were analyzed using the partial least squares (PLS) approach and multi group analysis. The results show that learning and entrepreneurial orientations have a positive impact on hotel innovation. As anticipated, innovation has a positive impact on performance. According to the multigroup analysis, only the hotel category has a moderating effect on performance. Results suggest that hotels in developing countries could add value to both customers and shareholders by promoting new services and exploring new business opportunities. To the best of our knowledge, this is one of the few studies that has researched the impact of strategic orientation on hotel innovation and financial performance in developing countries.

scholarly journals A Framework for Assessing the Value of RFID Implementation by Tier-One Suppliers to Major Retailers

2008 ◽  
Vol 3 (1) ◽  
pp. 55-70
Author(s):  
Dharmaraj Veeramani ◽  
Jenny Tang ◽  
Alfonso Gutierrez
Keyword(s):  
Supply Chain ◽  
Radio Frequency ◽  
Radio Frequency Identification ◽  
Return On Investment ◽  
Real Life ◽  
Data Capture ◽  
Automatic Identification ◽  
Rfid Technology ◽  
Frequency Identification ◽  
The Impact

Radio frequency identification (RFID) is a rapidly evolving technology for automatic identification and data capture of products. One of the barriers to the adoption of RFID by organizations is difficulty in assessing the potential return on investment (ROI). Much of the research and analyses to date of ROI in implementing RFID technology have focused on the benefits to the retailer. There is a lack of a good understanding of the impact of RFID at upper echelons of the supply chain. In this paper, we present a framework and models for assessing the value of RFID implementation by tier-one suppliers to major retailers. We also discuss our real-life application of this framework to one of Wal-Mart’s top 100 suppliers

Requirements Capture for Inclusive Design Resources and Tools

Volume 3 ◽  
2004 ◽  
Author(s):  
Hua Dong ◽  
P. John Clarkson ◽  
Simeon Keates
Keyword(s):  
Unmet Needs ◽  
Fundamental Problem ◽  
Inclusive Design ◽  
Planning Stage ◽  
Product Planning ◽  
The Past ◽  
Design Resources ◽  
User Data ◽  
Design Requirements ◽  
The Impact

In the past twenty years, a number of resources and tools to support inclusive design have been developed. However, the impact of these resources and tools on industry is not evident — few industrialists have been using them in practice. Investigations into industry have identified unmet needs, for example, the lack of appropriate user data relating to inclusive design. The fundamental problem is that few resources and tools have been developed based on rigorous requirements capture. In fact, many of them were developed only because the developers think the information could be useful. It is essential to prepare a detailed requirements list when clarifying the task at the product planning stage. This is also true for developing resources and tools for inclusive design. Requirements capture plays an important role in identifying real needs from users and developing appropriate methods of support for them. This paper starts with a survey of available resources and tools for inclusive design, and a discussion on their merits and deficiencies in respect to industry application. A number of methods are employed for the requirements capture for an inclusive design toolkit, which leads to a consistent result. An outline of the toolkit is also presented.

Government Discourses on Entrepreneurship: Issues of Legitimization, Subjugation, and Power

2005 ◽  
Vol 29 (2) ◽  
pp. 173-184 ◽  
Author(s):  
Lew Perren ◽  
Peter L. Jennings
Keyword(s):  
Critical Discourse Analysis ◽  
Critical Discourse ◽  
Government Policies ◽  
Government Power ◽  
The World ◽  
New Business ◽  
Government Involvement ◽  
Market Driven ◽  
Government Websites ◽  
The Impact

The belief in market–driven ideology and the assumption that new business ventures create jobs and foster innovation has embedded entrepreneurship into political discourse. Academics have analyzed government policies on entrepreneurship, but they have tended to share the same underlying beliefs in the function of entrepreneurs within the economic machine. This article explores selected dimensions of the impact of those beliefs by using critical discourse analysis to show how government websites around the world portray entrepreneurs and their role in society. Discourses of government power and self–legitimization are revealed that manifest themselves in a colonizing discourse of entrepreneurial subjugation. The article concludes by challenging government rhetoric on entrepreneurship and questioning the motives underpinning the agenda of government involvement in supporting entrepreneurs.

Data Field for Hierarchical Clustering

2011 ◽  
Vol 7 (4) ◽  
pp. 43-63 ◽  
Author(s):  
Shuliang Wang ◽  
Wenyan Gan ◽  
Deyi Li ◽  
Deren Li
Keyword(s):  
Hierarchical Clustering ◽  
Physical Space ◽  
Core Data ◽  
Data Object ◽  
Group Data ◽  
Data Field ◽  
Data Objects ◽  
The Masses ◽  
Space Data ◽  
The Impact

In this paper, data field is proposed to group data objects via simulating their mutual interactions and opposite movements for hierarchical clustering. Enlightened by the field in physical space, data field to simulate nuclear field is presented to illuminate the interaction between objects in data space. In the data field, the self-organized process of equipotential lines on many data objects discovers their hierarchical clustering-characteristics. During the clustering process, a random sample is first generated to optimize the impact factor. The masses of data objects are then estimated to select core data object with nonzero masses. Taking the core data objects as the initial clusters, the clusters are iteratively merged hierarchy by hierarchy with good performance. The results of a case study show that the data field is capable of hierarchical clustering on objects varying size, shape or granularity without user-specified parameters, as well as considering the object features inside the clusters and removing the outliers from noisy data. The comparisons illustrate that the data field clustering performs better than K-means, BIRCH, CURE, and CHAMELEON.

scholarly journals A Decision Analysis Model for the Brand Experience of Branded Apps Using Consistency Fuzzy Linguistic Preference Relations

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1151
Author(s):  
Tsuen-Ho Hsu ◽  
Chun-Hsien Chen ◽  
Ya-Wun Yang
Keyword(s):  
Customer Loyalty ◽  
Pairwise Comparison ◽  
Brand Experience ◽  
Decision Analysis Model ◽  
Analysis Model ◽  
Pairwise Comparison Matrix ◽  
Preference Relations ◽  
New Business ◽  
Fuzzy Linguistic ◽  
The Impact

Branded apps are not only an important platform for enterprises and customers to have real-time interactions and communicate marketing messages, but also a new business model that encourages value co-creation between the two. In order to explore the impact of branded apps on customers, this study constructs a fuzzy multi-criteria decision making (FMCDM) analysis model, and it uses consistent fuzzy linguistic preference relations (CFLPR) to set up a symmetric pairwise comparison matrix, which greatly reduces the complexity and error rate of calculations. Empirical research findings show that brand experience attributes and the influence of brand experience on customer loyalty and satisfaction can be more accurately measured. As a consequence of this study, we show that, among the brand experience facets of two retail chain branded apps, behavioral experience is the most favored, while affective experience is the least favored. Furthermore, brand attachment and active participation should be strengthened to enhance customer loyalty. Through the analytical model employed in this study, enterprises can regularly monitor changes in the brand experience preferences of branded app users and evaluate app performance to flexibly adjust mobile device-based marketing campaigns and strategies. It can also aid enterprises in using mobile devices effectively to improve customer loyalty and address the issue of diminishing brand loyalty.

Analysis of the Impact of COVID-19 on the Current Farmer’s Market Business Model and Research on its Transformation in Smoke-Free Environment

2021 ◽  
Vol 7 (5) ◽  
pp. 921-932
Author(s):  
Zhang Jia ◽  
Xu Hui ◽  
Zeng Zhi ◽  
Yu Jingjing
Keyword(s):  
Business Model ◽  
Main Direction ◽  
Business Model Canvas ◽  
The Future ◽  
New Business ◽  
Free Environment ◽  
The Impact

Objectives: The ban on smoking creates a good smoke-free environment for the traditional farmer’s market. However,the suddenly spread COVID-19 has greatly impacted the business model of the traditional smoke-free farmer’s market.Methods: In order to realize the effective transformation of the current farmer’s market, this paper uses the business model canvas of Osterwalder and Pigneur to compare and analyze the traditional smoke-free farmer’s market and the smart farmer’s market. Results:The study found that the new business model promoted by “Smart Farmer” can effectively solve the difficulties and problems faced by the current farmer’s market. Conclusions:On the basis of this research, this paper puts forward the main direction of the future transformation of the farmer’s market business model, in order to provide a theoretical and practical basis for the intellectualized reconstruction of farmer’s market in China.

DAMPAK BADAN USAHA MILIK DESA (BUMDES) TERHADAP KESEJAHTERAAN MASYARAKAT DI DESA TUTUR

2021 ◽  
Vol 4 (1) ◽  
pp. 131
Author(s):  
Khumaidi Khumaidi ◽  
Siti Zaynab
Keyword(s):  
Rural Communities ◽  
Rural Economy ◽  
Complex Problem ◽  
Business Development ◽  
Qualitative Approach ◽  
Depth Interview ◽  
New Business ◽  
The Impact ◽  
The Village

Badan Usaha Milik Desa thereafter called BUMDes is an alternative to improve the rural economy. Unfortunately, however, the position of BUMDes had not been governed completely in existing legislation. Another more complex problem is that in choosing an appropriate enterprise for establishing BUMDes. This study aims to describe the impact of BUMDES on the welfare of rural communities. BUMDES is one of the programs to strengthen the role of the region.This research was conducted using a qualitative approach and used in-depth interview and observation techniques. The results of the study have shown that BUMDES has had an impact on the village economy. BUMDES has an impact on community business development in Tutur Village. In addition, BUMDES encourages people to start a new business according to the potential of the community. The impact of other BUMDES is to improve the level of children's education and improve public health

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