scholarly journals Big Data and Data Analytics in Agricultural Space: Towards Sustainable and Intelligent Agro Sector Development

2020 ◽  
pp. 95-120
Author(s):  
P. K. Paul ◽  
◽  
Anil Bhuimali ◽  
R.R. Sinha ◽  
K.S. Tiwary ◽  
...  
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Complex Data ◽  
Agricultural Systems ◽  
Daily Lives ◽  
Leading Role ◽  
Rapid Changes ◽  
It Applications ◽  
Nano Science ◽  
The Impact

Agriculture has become important for each and everyone for its importance in the daily lives. Cultivation and farming is most important and valuable in our life as it is needed for all of us. Furthermore it is essential to have better healthy agricultural systems and in this context Agricultural Informatics play a leading role. Here proper mechanism is very important in healthy and modern agricultural systems and development and for this various initiatives and methods are useful and enhancing. There are rapid changes and growth in respect of the support of various technologies which help in modernizing agricultural production and systems like genetic engineering and technologies, computing and information technology, nano-science and technology, Management Science etc. The combination of Information Technology and Agricultural Sciences has led to the developed the Agricultural Informatics. Agricultural Informatics is simply IT applications in Agriculture and allied areas with its various components. Though in recent past more emerging technologies of IT are enhancing the traditional growth of the Agricultural Informatics and among the technologies important are Big Data and Analytics, AI & Robotics, Cloud Computing & Virtualization, Internet of Things etc. And among these, Big Data and Analytics is emerging and changing the entire arena of the Agricultural Informatics with its periphery and functioning. As the data is changing and rapidly growing therefore, Big Data and Analytics is the solution for managing data effectively with large amount and also the complex data. This paper is theoretical and various aspects of Agricultural Informatics are mentioned such as features, applications and specially the impact of Big Data and Analytics. The Paper is also focused on possibilities of Big Data and Analytics in Agricultural Informatics with challenges, issues etc.

scholarly journals Agricultural Data Science as a Potential Field and Promoting Agricultural Activities & Sustainable Agriculture

2020 ◽  
Vol 7 (2) ◽  
Author(s):  
P.K. Paul
Keyword(s):  
Agricultural Production ◽  
Data Analytics ◽  
Data Science ◽  
Complex Data ◽  
Agricultural Systems ◽  
Computing Technology ◽  
Daily Lives ◽  
The Core ◽  
Leading Role ◽  
Systems Practice

Agriculture is important for everyone due to its importance in our daily lives. Cultivation is valuable for all of us and required in the building of healthy agricultural systems development and in this context different technologies and also emerging Agricultural Informatics plays a leading role. In respect of developing modern agricultural systems,various methods are useful and enhancing. Apart from the core technologies various supporting technologies, also beneficial in modernizing agricultural production and systems practice. Among the technologies few important are genetic engineering, computing technology, nanoscience, Management Science, and so on. Information Technology and Agricultural Sciences result in the development of Agricultural Informatics with its various components. Recently various other components have developed viz. Data Analytics, AI & Robotics, Cloud Computing & Virtualization, Internet of Things, etc. And within these technologies, Big Data and Analytics is emerging and enhancing more on Agricultural Informatics since it holds the solution for managing data effectively with a large amount and also the complex data.

scholarly journals APPLICATION OF BIG DATA IN ENTERPRISE MANAGEMENT

2021 ◽  
Author(s):  
FENG GUO ◽  
HUI-LIN QIN
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Rapid Development ◽  
Enterprise Management ◽  
Complex Data ◽  
Real Economy ◽  
Existing Problems ◽  
Other Information ◽  
Big Data Application ◽  
Deep Integration

With the continuous development of information technology, enterprises have gradually entered the era of big data. How to analyze the complex data and find out the useful information to promote the development of enterprises is becoming more and more important in the modernization of science and technology. This paper expounds the importance and existing problems of big data application in enterprise management, and briefly analyzes and discusses its application in enterprises and its future development direction and trend. With the rapid development of Internet of things, cloud computing and other information technology, the world ushered in the era of big data. It has become a trend to promote the deep integration of Internet, big data, artificial intelligence and real economy. Due to the rapid development of economy, the amount of data information generated in the process of consumption and production is very large. Under the traditional management mode, enterprises can not meet the needs of the current social and economic development. However, the application of big data technology in enterprises can achieve better analysis and Research on these data information, so as to provide reliable data basis for enterprises to carry out various business management decisions.

Alignment Of Organizational Strategy With Information Technology Strategy

2011 ◽  
pp. 106-139
Author(s):  
Tamio Shimizu ◽  
Marley Monteiro de Carvalho ◽  
Fernando Jose Barbin
Keyword(s):  
Information Technology ◽  
Business Strategy ◽  
Business Strategies ◽  
Great Expectations ◽  
Organization Effectiveness ◽  
Long Run ◽  
New Strategy ◽  
Structured Problems ◽  
It Applications ◽  
The Impact

Digital computers came into being after the Second World War. After a period of use solely in scientific and military areas, business perceived that this technological innovation could be very useful. The large, expensive equipment was very limited in terms of the information it could process and store, in addition to the restricted number of users who could access them simultaneously or from remote locations. Both the training and vision of professionals in the area of what was then called “data processing” was eminently technical. Thus, the early applications were developed to resolve well-structured problems, i.e., those whose stages and sequences were well-defined, such as payroll, stock control, and accounts due and received. Technology evolved and by the end of the 1970s, there were a number of alternative uses for computers and basic applications had been installed in the large companies. At that point, specialists began discussing a way to use Information Technology (IT), a term that came into use in the 1980s, better to make businesses more competitive. From that time on, many theories, models, and techniques have been studied and developed so that information technology can be used in tune with business strategies and operations. IT progressively came to play an important role in the strategy of the leading companies in competitive markets. Presently there are great expectations that IT applications will make possible new strategy alternatives for business and new opportunities for companies; as in the case of e-commerce and e-business (Porter, 2001; Evans & Wurster, 1999). However, there is also an extensive debate about the real gains derived from investments in IT. Focusing solely on the efficiency of IT applications will not provide a response to such questions. To evaluate the impact of IT on business strategy and operations, a focus on its effectiveness is needed. One must examine the results of IT applications in relation to the objectives, goals, and needs of an organization. Effectiveness should be maintained in the long run, and for this to happen, the concept of Strategic Alignment between IT and the business is fundamental.

Changing trend in reading habits of teenagers in Delhi

2014 ◽  
Vol 63 (1/2) ◽  
pp. 125-137 ◽  
Author(s):  
Paramjeet Kaur Walia ◽  
Nitu Sinha
Keyword(s):  
Information Technology ◽  
Digital Media ◽  
Paradigm Shift ◽  
Strategic Change ◽  
Social Benefit ◽  
Reading Habits ◽  
Content Type ◽  
Rapid Changes ◽  
The Media ◽  
The Impact

Purpose – The purpose of this study was to attempt to answer some plausible questions like what do teenagers prefer to read at leisure, how do they read and why do they read? With the rapid changes in information technology, there is tremendous change in means of communication. Today, much more information is available from electronic and digital media as compared to traditional books. A paradigm shift in information delivery from just information to infotainment has also affected the preferences of the information seekers. Teenagers are a demographic group under transition and they are not untouched by these rapid changes in technology and their impact on their reading preferences. Design/methodology/approach – For this purpose, a survey among 223 school-going (public/convent and government-/aided) teenagers aged between 12 and 18 years was done using a semi-structured questionnaire. Findings – The findings revealed a decline in sports and outdoor recreational activities during leisure, and only 20.6 per cent teenagers preferred reading during leisure. However, self-perception as an avid reader was expressed by majority (53.8 per cent). Fictions were liked by > 75 per cent teenagers; however, non-fictions were also liked by majority (61.8 per cent). The reading preferences of the children were found to be affected by their age, their gender and the type of schools they attended. A significant inverse relationship of television watching and movie-going was observed with reading time. Research limitations/implications – The biggest limitation was inability to directly interact with the students and inability to gather data from more schools. Practical implications – By knowing the current reading trends, leisure time habits and exposure to different means of information technology, the choice of medium for knowledge dispersal could be done. The study would help in providing a basis for a strategic change in the ratio of conventional books and other information media in the library. Social implications – By identifying the media exposure time and popularity, proper steps may be taken in order to enrich the particular media and to ensure that quality of information available on the media can be directed for social benefit in large. Originality/value – The impact of demographic and environmental variables on reading habits of teenagers has not been evaluated in this part of the world, especially in view of the paradigm shift in information technology and the growing influence of electronic media and social networking. An understanding of this mutual relationship would help in modifying the reading behaviour of the teenagers.

Digitizing Cultural Complexity

2020 ◽  
pp. 546-572
Author(s):  
Georgina Nugent-Folan ◽  
Jennifer Edmond
Keyword(s):  
Big Data ◽  
Small Scale ◽  
Complex Data ◽  
Ict Integration ◽  
Cultural Complexity ◽  
Information And Communication ◽  
Data Environment ◽  
Key Terms ◽  
The Impact ◽  
Implicit Definitions

One of the major terminological forces driving information and communication technology (ICT) integration in research today is “big data.” The characteristics of big data make big data sound inclusive and integrative. However, in practice such approaches are highly selective, excluding input that cannot be effectively structured, represented, or digitized; in other words, excluding complex data. Yet complex data are precisely the kind that human activity tends to produce, but the technological imperative to enhance signal through the reduction of noise does not accommodate this richness. The objective of this chapter is to explore the impact of bias in digital approaches to knowledge creation by investigating the delimiting effect digital mediation and datafication can have on rich, complex cultural data. If rich or complex data prove difficult to fully represent on a small-scale level, in the transition to a big data environment, we run the risk of losing much of what makes this material useful or interesting in the first place. We will begin by reviewing some of the existing implicit definitions of data that underlie ICT-driven research. In doing so will draw attention to the heterogeneity of definitions of data, to identify the key terms associated with data demarcation and data use, and to then expand on the implications of this heterogeneity.

The Impact of Information Technology across Small, Medium, and Large Hospitals

2011 ◽  
pp. 347-361
Author(s):  
Stacy Bourgeois ◽  
Edmund Prater ◽  
Craig Slinkman
Keyword(s):  
Information Technology ◽  
Patient Safety ◽  
Financial Performance ◽  
Hospital Performance ◽  
Performance Outcomes ◽  
Hospital Environment ◽  
Improve Quality ◽  
It Applications ◽  
The Impact

Hospitals invest in Information Technology to lower costs and to improve quality of care. However, it is unclear whether these expectations for Information Technology are being met. This study explores Information Technology (IT) in a hospital environment and investigates its relationship to mortality, patient safety, and financial performance across small, medium, and large hospitals. Breaking down IT into functional, technical, and integration components permits the assessment of different types of technologies’ impact on financial and operational outcomes. Findings indicate that both IT sophistication (access to IT applications) and IT sophistication’s relationship to hospital performance varies significantly between small, medium, and large hospitals. In addition, empirical investigation of quality, safety, and financial performance outcomes demonstrates that the observed impact of IT is contingent upon the category of IT employed.

Cloud Computing for Teaching Practice

2016 ◽  
pp. 2267-2284
Author(s):  
Robab Saadatdoost ◽  
Alex Tze Hiang Sim ◽  
Hosein Jafarkarimi ◽  
Jee Mei Hee ◽  
Leila Saadatdoost
Keyword(s):  
Information Technology ◽  
Cloud Computing ◽  
Teaching Practice ◽  
New Technology ◽  
Educational Institutions ◽  
Technology In Education ◽  
Computing Technology ◽  
Rapid Changes ◽  
Potential Benefits ◽  
The Impact

Recently researchers have shown an increased interest in cloud computing technology. It is becoming increasingly difficult to ignore cloud computing technology in education context. However rapid changes in information technology are having a serious effect on teaching framework designs. So far, however, there has been little discussion about cloud computing benefits in domains of teaching frameworks which propels us to study and redesign teaching frameworks considering cloud computing. The purpose of this paper is to review recent research into cloud computing and features which can be improved with this new technology. This paper studied several researches through literature to determine the main impact of cloud computing on “planning and preparation” and “instruction” domains as two main domains of teaching framework. Light will be then shed on the impact and potential benefits of cloud computing on teaching framework. The paper closes by proposing to design an evaluation table based on cloud computing artifacts to enhance teaching practice and highlights its offerings for educational institutions.

scholarly journals Big Data and the Ethical Implications of Data Privacy in Higher Education Research

2020 ◽  
Vol 12 (20) ◽  
pp. 8744
Author(s):  
Diana Florea ◽  
Silvia Florea
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Education Research ◽  
Private Information ◽  
Data Privacy ◽  
Complex Nature ◽  
Complex Data ◽  
Higher Education Research ◽  
Ethical Implications ◽  
The Impact

Despite the claimed worth and huge interest regarding the increasing volumes of complex data sets and the rewarding promise to improve research, there is, however, a growing concern regarding data privacy that affects both qualitative and quantitative higher education research. Within the contemporary debates on the impact of Big Data on the nature of higher education research and the effective ways to harmonize Big Data practice with privacy restrictions and regulations, this study sets out to qualitatively examine current issues regarding data privacy, anonymity, informed consent and confidentiality in data-centric higher education research, with a focus on the data collector, data subject and data user. We argue that within current regulations, data protection of research subjects concerns more data collection and disclosure and insufficiently describes use, having procedural implications for both the complex nature of higher education (HE) research and the type of research data being collected. We work our argument through an examination of several factors that call for a reconsideration of data privacy and access to private information in HE research. The conclusions indicate that Big Data-centric HE research is increasingly becoming a mainstream research paradigm which needs to address critical data privacy issues before being widely embraced.

scholarly journals Big Data and Smart Health Strategies: Findings from the Health Information Systems Perspective

2014 ◽  
Vol 23 (01) ◽  
pp. 125-127 ◽  
Author(s):  
M. Cuggia ◽  
L. Toubiana ◽  
Keyword(s):  
Information Technology ◽  
Big Data ◽  
Information Systems ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Health Information Systems ◽  
Systems Perspective ◽  
Smart Health ◽  
The Impact

Summary Objectives: To summarize excellent current research in the field of Health Information Systems. Method: Creation of a synopsis of the articles selected for the 2014 edition of the IMIA Yearbook. Results: Four papers from international peer reviewed journals were selected and are summarized. Conclusions: Selected articles illustrate current research regarding the impact and the evaluation of health information technology and the latest developments in health information exchange.

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