Exploring the Usage of Big Data Analytical Tools in Telecommunication Industry in Oman

2017 ◽  
Vol 30 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Himyar Ali Al Jabri ◽  
Ali H. Al-Badi ◽  
Oualid Ali
Keyword(s):  
Information Technology ◽  
Social Media ◽  
Big Data ◽  
Data Management ◽  
Competitive Advantage ◽  
Case Studies ◽  
Telecommunication Industry ◽  
A Value ◽  
Telecom Industry ◽  
Analytical Tools

Big Data has recently become a very hot topic in the field of Information Technology and Data Management. Data generated by the company's daily operations through different resources such as social media, etc. is very important because it can bring a value that will lead to a competitive advantage. The objectives of this research are to: 1) Explore the analytical tools used to manipulate Big Data in Omani telecom industry, 2) Present the benefits of using these tools, the extent of use, and the features specifically promoted these tools, and 3) Highlight the challenges/obstacles that the telecom industry in Oman facing in adopting/using Big Data analytical tools. To achieve the research objectives two case studies were conducted among the main telecom operators in Oman. This research concluded that both studied telecom operators in Oman are not ready for the DBAs. Both operators need to invest in developing the capabilities that enable them to use these tools. Once that is satisfied, then other components like the infrastructure, tools, and data can be managed very well.

Exploring the Usage of Big Data Analytical Tools in Telecommunication Industry in Oman

Web Services ◽  
2019 ◽  
pp. 459-472
Author(s):  
Himyar Ali Al Jabri ◽  
Ali H. Al-Badi ◽  
Oualid Ali
Keyword(s):  
Information Technology ◽  
Social Media ◽  
Big Data ◽  
Data Management ◽  
Competitive Advantage ◽  
Case Studies ◽  
Telecommunication Industry ◽  
A Value ◽  
Telecom Industry ◽  
Analytical Tools

Big Data has recently become a very hot topic in the field of Information Technology and Data Management. Data generated by the company's daily operations through different resources such as social media, etc. is very important because it can bring a value that will lead to a competitive advantage. The objectives of this research are to: 1) Explore the analytical tools used to manipulate Big Data in Omani telecom industry, 2) Present the benefits of using these tools, the extent of use, and the features specifically promoted these tools, and 3) Highlight the challenges/obstacles that the telecom industry in Oman facing in adopting/using Big Data analytical tools. To achieve the research objectives two case studies were conducted among the main telecom operators in Oman. This research concluded that both studied telecom operators in Oman are not ready for the DBAs. Both operators need to invest in developing the capabilities that enable them to use these tools. Once that is satisfied, then other components like the infrastructure, tools, and data can be managed very well.

scholarly journals Characterizing Big Data Management

10.28945/2192 ◽  
2015 ◽  
Author(s):  
Rogério Rossi ◽  
Kechi Hirama
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Big Data ◽  
Data Management ◽  
Process Management ◽  
Three Dimensions ◽  
Storage And Retrieval ◽  
Human Aspects ◽  
Business Approach ◽  
Support Decision Making

[The final form of this paper was published in the journal Issues in Informing Science and Information Technology.] Considering that big data is a reality for an increasing number of organizations in many areas, its management represents a set of challenges involving big data modeling, storage and retrieval, analysis and visualization. However, technological resources, people and processes are crucial dimensions to facilitate the management of big data in any organization, allowing information and knowledge from a large volume of data to support decision-making. Big data management must be supported by technology, people and processes; hence, this article discusses these three dimensions: the technologies for storage, analysis and visualization of big data; the human aspects of big data; and, in addition, the process management involved in a technological and business approach for big data management.

Corruption in the Public Eye

2014 ◽  
pp. 258-272
Author(s):  
Elitza Katzarova
Keyword(s):  
Social Media ◽  
Social Change ◽  
Case Studies ◽  
News Coverage ◽  
Negotiation Strategy ◽  
The Public ◽  
First Case ◽  
Social Media Platforms ◽  
Analytical Tools

What role is there for publicity in the global anti-corruption debate? This chapter introduces the concepts of “transparency” and “publicity” as analytical tools that account for differentiated channels through which the availability of information can induce social change. Two case studies provide insights into the role of traditional media in comparison to new social media. The first case analyzes the role of Western news coverage during the negotiations of the OECD Anti-Bribery Convention in the mid-1990s and the threat of publicity as a negotiation strategy. The second case investigates the role of social media platforms such as Twitter, Facebook, and YouTube in the success of the anti-corruption strike carried out by Indian social activist Anna Hazare in 2011. By introducing and further applying the conceptual toolkit of “transparency” and “publicity” to both cases, this chapter argues that transparency requires publicity or in the case of the OECD negotiations—the threat of publicity—in order for the anti-corruption campaign to be successful. The chapter concludes with a discussion of the ramifications for transparency and publicity as tools for social change.

Sustainable Competitive Advantage from Information Technology

2001 ◽  
pp. 25-39
Author(s):  
David L. Bahn
Keyword(s):  
Information Technology ◽  
Competitive Advantage ◽  
Case Studies ◽  
Value Chain ◽  
Business Strategy ◽  
Complex Relationship ◽  
Sustainable Competitive Advantage ◽  
Strategy Analysis ◽  
Business Functions ◽  
Support Activity

The strategic benefit of IT (information technology) in supporting business functions is often seen as the basis for competitive advantage that is sustainable. The value chain concept has been a handy tool widely utilized in business strategy analysis to match firm competency in performing business activities with the achievement of sustainable marketplace advantage. When it comes to the assessment of the competitive value of information technology, the value chain concept seems to either categorize IT as a support activity or to overly narrow the scope of IT’s role in achieving sustainable competitive advantage. This chapter reviews the concepts of the value chain and sustainable competitive advantage. Short case studies from a number of industries are presented in order to illustrate the limitations of using the value chain to describe information technology’s role in achieving sustainable competitive advantage. These examples demonstrate the subtle and often complex relationship between information technology and competitive advantage.

Sustainable Competitive Advantage from Information Technology

2001 ◽  
pp. 40-55 ◽  
Author(s):  
Mark R. Nelson
Keyword(s):  
Information Technology ◽  
Competitive Advantage ◽  
Case Studies ◽  
Value Chain ◽  
Business Strategy ◽  
Complex Relationship ◽  
Sustainable Competitive Advantage ◽  
Strategy Analysis ◽  
Business Functions ◽  
Support Activity

The strategic benefit of IT (information technology) in supporting business functions is often seen as the basis for competitive advantage that is sustainable. The value chain concept has been a handy tool widely utilized in business strategy analysis to match firm competency in performing business activities with the achievement of sustainable marketplace advantage. When it comes to the assessment of the competitive value of information technology, the value chain concept seems to either categorize IT as a support activity or to overly narrow the scope of ITs role in achieving sustainable competitive advantage. This chapter reviews the concepts of the value chain and sustainable competitive advantage. Short case studies from a number of industries are presented in order to illustrate the limitations of using the value chain to describe information technologys role in achieving sustainable competitive advantage. These examples demonstrate the subtle and often complex relationship between information technology and competitive advantage.

The use of social media by higher education institutions

2020 ◽  
Vol 65 (2) ◽  
pp. 30-42
Author(s):  
Jacek Maślankowski ◽  
Łukasz Brzezicki
Keyword(s):  
Higher Education ◽  
Social Media ◽  
Big Data ◽  
Competitive Advantage ◽  
Full Advantage ◽  
Higher Education Institutions ◽  
Marketing Activities ◽  
Use Of Social Media ◽  
Marketing Methods

Higher education institutions have been using, to an increasing extent, various marketing methods and tools, which are becoming a decisive factor in building their competitive advantage and achieving success. In order to initiate and maintain long-term relationships with their communities and to conduct other marketing activities, higher education institutions have been increasingly often using social media, which has enabled them to actively create their image. The aim of this study is to utilize big data methods and tools to measure the scale of the use of social media by the higher education sector. The research carried out in the first quarter of 2019 demonstrates that large higher education institutions, i.e. those with over 1696 students (according to the adopted classification), use social media to communicate current news to a larger extent than the smaller ones. A significantly smaller percentage of mediumsized higher education institutions (223-1695 students) and small ones (up to 222 students) have accounts in social media, thus failing to take full advantage of the potential of these media. Higher education institutions use social media mainly to promote events they organise.

The big data boost

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Big Data ◽  
Competitive Advantage ◽  
Case Studies ◽  
Design Methodology ◽  
Reading Time ◽  
Specific Data ◽  
Content Type ◽  
Bulk Data ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Organizations of all sizes are looking to big data to boost competitive advantage and create sustained growth. Yet bulk data is not typically enough on its own, and proprietary applications and organizationally-specific data is required. Originality/value The briefing saves busy executives, strategists and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Emerging Trends and Techniques in Cloud-Based Data Analytics

2021 ◽  
pp. 37-47
Author(s):  
Shaila S. G. ◽  
Monish L. ◽  
Lavanya S. ◽  
Sowmya H. D. ◽  
Divya K.
Keyword(s):  
Social Media ◽  
Cloud Computing ◽  
Big Data ◽  
Data Management ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Decision Makers ◽  
Huge Data ◽  
Emerging Trends ◽  
Media Applications

The new trending technologies such as big data and cloud computing are in line with social media applications due to their fast growth and usage. The big data characteristic makes data management challenging. The term big data refers to an immense collection of both organised and unorganised data from various sources, and nowadays, cloud computing supports in storing and processing such a huge data. Analytics are done on huge data that helps decision makers to take decisions. However, merging two conflicting design principles brings a challenge, but it has its own advantage in business and various fields. Big data analytics in the cloud places rigorous demands on networks, storage, and servers. The chapter discusses the importance of cloud platform for big data, importance of analytics in cloud and gives detail insight about the trends and techniques adopted for cloud analytics.

scholarly journals Heritage-based tribalism in Big Data ecologies: Deploying origin myths for antagonistic othering

2021 ◽  
Vol 8 (1) ◽  
pp. 205395172110033
Author(s):  
Chiara Bonacchi ◽  
Marta Krzyzanska
Keyword(s):  
Social Media ◽  
Big Data ◽  
Qualitative Methods ◽  
Methodological Framework ◽  
Human Origin ◽  
Data Intensive ◽  
The Past ◽  
Origin Myths ◽  
People’S Attitudes ◽  
Analytical Tools

This article presents a conceptual and methodological framework to study heritage-based tribalism in Big Data ecologies by combining approaches from the humanities, social and computing sciences. We use such a framework to examine how ideas of human origin and ancestry are deployed on Twitter for purposes of antagonistic ‘othering’. Our goal is to equip researchers with theory and analytical tools for investigating divisive online uses of the past in today’s networked societies. In particular, we apply notions of heritage, othering and neo-tribalism, and both data-intensive and qualitative methods to the case of people’s engagements with the news of Cheddar Man’s DNA on Twitter. We show that heritage-based tribalism in Big Data ecologies is uniquely shaped as an assemblage by the coalescing of different forms of antagonistic othering. Those that co-occur most frequently are the ones that draw on ‘Views on Race’, ‘Trust in Experts’ and ‘Political Leaning’. The framings of the news that were most influential in triggering heritage-based tribalism were introduced by both right- and left-leaning newspaper outlets and by activist websites. We conclude that heritage-themed communications that rely on provocative narratives on social media tend to be labelled as political and not to be conducive to positive change in people’s attitudes towards issues such as racism.

scholarly journals Building the Business Platform by Modularization Strategies: Cases of Taiwan Social Networking Vendors

2022 ◽  
Vol 8 (1) ◽  
pp. 13
Author(s):  
Chia-Liang Hung
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Competitive Advantage ◽  
Case Studies ◽  
Open Innovation ◽  
Functional Requirements ◽  
Digital Era ◽  
Concept Framework

Firms achieve their competitive advantage quickly through the concept framework of open innovation by integrating external inspiration with internal endowment when facing hyper-competition in the digital era. This paper deploys open innovation into building platform blocks by modular operators. These eight modular operators are splitting, augmenting, deleting, substituting, inversing, porting, configuring, and integrating. By means of case studies of two Taiwan Internet vendors, the results depict the manipulation strategies between eight modular operators to fit seven functional requirements for weaving social media, which are presence, identity, sharing, reputation, groups, conversations, and relationship. Finally, this paper advances propositions about the deployment of modularization strategies to develop a competitive platform.

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