Achieving Global Competitive Human Resources in the Industrial Revolution

2021 ◽  
Author(s):  
Pang william panggantara

Fourth wave of industrial revolution is marked by the use of information technology, artificial inteligence (A.I), and automatic engines. Competitive advantage has become a necessity for every business actor when they wants to competing in the global market. The current condition definitely encouraging the occurence of massive transformation at all business levels and units this condition happens because every business actor can enter from and any other countries markets easily. this condition making professionalism of every business actor is highly prioritized like many case in the business decision making and continous innovation.

2021 ◽  
Author(s):  
Arvin Winatha

Increasingly tight business competition map of industry has been the main focus for everyone in the world, especially in the industry we call it as the Industry era 4.0 . The awareness of this competiton has made many business organizations in the world, including Indonesia busy preparing themselves, particularly those related to the development of human resources, to be ready to compete in this global era. The Fourth wave of industrial revolution is marked by the use of information technology, artificial intelligence, and automatic engines or vehicles that have been going on since years before.


2019 ◽  
Vol 17 (4) ◽  
pp. 131-140 ◽  
Author(s):  
Patrick Ajibade ◽  
Ezra M. Ondari-Okemwa ◽  
Mamadi M. Matlhako

This paper argues that business enterprises in this competitive global market cannot compete and remain sustainable without effective knowledge sharing to improve business intelligence processes. The central argument hinges on the deployment and use of information technology (IT) as strategic tools to promote business decision making through quick business data analysis and dissemination of business ideas across business units and locations. The study reiterated the critical role IT plays in facilitating a culture of organizational learning and knowledge sharing practices. The study utilized surveys and questionnaires that were distributed to 230 small and medium enterprises (SMEs), and both descriptive and inferential statistics were used to present the results. Findings showed that firms are still using one-on-one meeting to share knowledge, while knowledge sharing activities are controlled through a rigid and inflexible process at the top management level, thereby hindering knowledge flow that is crucial for real-time decision making. The advances in IT have not been used advantageously to improve knowledge sharing and to advance business management. The paper concludes that without strong positive correlation between IT infrastructure integration, and communication strategies and knowledge sharing, the SMEs may not be able to compete in a highly competitive knowledge economy. Consequently, they may lose leverage to another competitor with more robust and mature IT infrastructure alignment for sharing business analytics and intelligence efficiently. A technologically driven, open, and informal approach to knowledge sharing for productive and innovative engagement is recommended. Furthermore, the use of IT that can promote agile and real-time knowledge sharing is recommended.


2021 ◽  
Author(s):  
Arvin Winatha

Increasingly tight business competition map of industry has been the main focus for everyone in the world, especially in the industry we call it as the Industry era 4.0 . The awareness of this competiton has made many business organizations in the world, including Indonesia busy preparing themselves, particularly those related to the development of human resources, to be ready to compete in this global era. The Fourth wave of industrial revolution is marked by the use of information technology, artificial intelligence, and automatic engines or vehicles that have been going on since years before.


2018 ◽  
Vol 28 (5) ◽  
pp. 1489-1496
Author(s):  
Branislav Stanisavljević

Research carried out in the last few years as the example of companies belonging to the category of medium-size enterprises has shown that, for example, typical enterprises, of the total number of data processed in information of importance for its business, seriously takes into consideration and process only 10% of the observed firms. It is justifiable to ask whether these 10% of the processed and analyzed business information can have an adequate potential or motive power to direct the organization to success that is measured by competitive advantages and on a sustainable basis? Or, the question can be formulated: what happens to the rest, mostly 90% of the information that the enterprise does not transform into a form suitable for business analysis and decision-making. It is precisely the task of business intelligence to find a way to utilize all the data collected and processed in the business decision-making process. In this regard, we can conclude that Business Intelligence is, in fact, the framework title for all tools and / or applications that will enable the collection, processing, analysis, distribution to decision-making bodies in the business system in order to derivate from this information valid business decisions - as the most important and / or most important task of the manager. Of course, from an economic point of view, the best decisions are management decisions that provide a lasting competitive advantage and achieve maximum financial performance. This means that business intelligence actually allows a more complete and / or comprehensive view of the overall business performance of all its parts and subsystems. But the system functions can be measured essential and positive economic and financial performance, as well as the position in the branch of the business to which it belongs, and wider, within the national economy. (Of course, today the boundaries of the national economy have become too crowded for many companies, bearing in mind globalization and competitiveness in the light of organization of work and business function). The advantage of business intelligence as a model, if accepted at the organization level, ensures that each subsystem in the organization receives precisely the information needed to make development decisions, but also decisions regarding operational activities. So, it should be born in mind that business intelligence does not imply that information is shared on some key words, on the contrary, the goal is to look at the context of the business, or in general, and that anyone in the further decision hierarchy can manage exactly the same information that is necessary for achieving excellent business performance. Because, if the insight into the information is not complete, the analysis is based on the description of individual parts, i.e. proving partial performance in the realization of individual information, which can certainly create a space for the loss of the expensive time and energy. Illustratively, if the view, or insight into the information, is not 100%, then all business decision-making is like the song of J.J. Zmaj "Elephant", about an elephant and a blindmen, where everyone feels and act only on the base of the experienced work, and brings judgment on what is what or what can be. As in this song for children, everyone thinks that he touches different animals and when they make claims about what they feel, everyone describes a completely different life. Therefore, business intelligence implies that information is fully considered and it is basically the basis or knowledge base, and therefore the basis of business excellence. In doing so, the main problem is how information is transformed into knowledge and based on it in business decision making. It is precisely in this segment that the main advantage of business intelligence is its contribution to the knowledge and business of the company based on power of knowledge. Therefore, for modern business conditions, it is characteristic that the management of the company is realized on the basis of partial knowledge about stakeholders (buyers, suppliers, competitors, shareholders, governments, institutional framework, legislation), and only a complete overview of managers at the highest level in all these partial interest groups allows managers to have a “boat” called the organization of labor leading a safe hand through the storm, Scile and Haribde threatens to endanger business, towards a calm sea and a safe harbor - called a sustainable competitive advantage based on power and knowledge.


2018 ◽  
Vol 5 (1) ◽  
pp. 119-127
Author(s):  
Lala Nilawati

Abstrak Teknologi informasi (TI) menjadi bagian penting dalam menentukan keberhasilan perusahaan. TI memberikan kesempatan untuk mendapatkan keunggulan kompetitif dan menawarkan perlengkapan untuk meningkatkan produktifitas. PT Triexpi Properti Advisindo merupakan Perusahaan Konsultan dibidang properti, yang sudah menerapkan penggunaan teknologi informasi untuk pengelolaan data sistem informasi penyewaan properti yang berbasis web. Untuk memaksimal penggunaan teknologi informasi di perusahaan ini, maka akan dibutuhkan kegiatan audit IT. Audit TI yang dilakukan pada penelitian ini akan difokuskan untuk melakukan evaluasi terhadap rancangan database pada sistem informasi penyewaan properti pada PT Triexpi Properti Advisindo. Kegiatan audit TI ini bertujuan untuk evaluasi pengelolaan data pada sistem informasi penyewaan dengan menggunakan Domain Delivery & Support (DS)-DS11, yang membahas tentang bagaimana mengelola data secara efektif, yaitu dengan melakukan identifikasi kebutuhan data menggunakan kerangka kerja Cobit 4.1. Kemudian akan digunakan model maturity untuk mengontrol proses-proses TI, dengan menggunakan metode penilaian/scoring. Dengan adanya audit pada sistem informasi ini, diharapkan dapat menunjang semua kegiatan perusahaan dan memberikan informasi yang dibutuhkan baik oleh karyawan maupun Direktur dalam menentukan pengambilan keputusan. Kata Kunci: Audit TI, COBIT 4.1., Domain Delivery & Support (DS) - DS11 Abstract Information technology (IT) becomes an important part in determining the success of the company. IT provides an opportunity to gain competitive advantage and offer equipment to increase productivity. PT Triexpi Properti Advisindo is a property consultant company, which has applied the use of information technology for data management of web based property rental information system. To maximize the use of information technology in this company, it will require IT audit activities. IT audit conducted in this research will be focused to evaluate the database design on property information rental system at PT Triexpi Properti Advisindo. This IT audit activity aims to evaluate the management of data on rental information systems using Domain Delivery & Support (DS) - DS11, which discusses how to effectively manage data by identifying data needs using Cobit 4.1. Then the maturity model will be used to control the IT processes, using the scoring method. With the audit on this information system, is expected to support all the activities of the company and provide information needed both by employees and Directors in determining decision making. Keywords: Audit TI, COBIT 4.1., Domain Delivery & Support (DS) - DS11.


Author(s):  
Hamid R. Nemati ◽  
Christopher D. Barko

An increasing number of organizations are struggling to overcome “information paralysis” — there is so much data available that it is difficult to understand what is and is not relevant. In addition, managerial intuition and instinct are more prevalent than hard facts in driving organizational decisions. Organizational Data Mining (ODM) is defined as leveraging data mining tools and technologies to enhance the decision-making process by transforming data into valuable and actionable knowledge to gain a competitive advantage (Nemati & Barko, 2001). The fundamentals of ODM can be categorized into three fields: Artificial Intelligence (AI), Information Technology (IT), and Organizational Theory (OT), with OT being the core differentiator between ODM and data mining. We take a brief look at the current status of ODM research and how a sample of organizations is benefiting. Next we examine the evolution of ODM and conclude our chapter by contemplating its challenging yet opportunistic future.


Author(s):  
Marco Garito

The debate over green ICT has been triggered by media during the climate change summit in Kyoto in 2007. This was when the industry tried to build up a clean and non-polluting image. While the Copenhagen summit on the environment failed to produce a conclusive decision, it is now clear that its carbon footprint is a remarkable factor in all business decision making. Governments around the world have set up defined programs and targets that companies have to reach. ICT is aimed at achieving reduction in the 2% of CO2 emission levels. The advantage of the positive impact of Green ICT initiatives would be seen in the clear results in management‘s decision making. However, the adoption of green ICT programs gives the opportunity to fully rethink over current business process and develop new solutions. The benefit of environmental friendly companies can also affect the overall performance and deliver measurable results in terms of customer‘s preference, brand value, ROI, not to count the needed change of behaviour at individual and personal level (such as waste disposal). The chapter wants to outline those topics and properly address the issues behind what the author considers as equivalent to the next industrial revolution.


Changes in tourist behavior encourage the Indonesian tourism industries to adapt to the era of industrial revolution. Tourism 4.0 becomes a new competitive advantage in winning tourism competition in the global market. The purpose of this study is to describe E-WOM in the context of tourism 4.0. To collect data, an online survey was addressed to 113 respondents. Our findings lead to a conclusion that tourism industries should strive to develop digital products so to influence consumer purchase decisions.


Ubiquity ◽  
2007 ◽  
Vol 2007 (February) ◽  
pp. 1-1 ◽  
Author(s):  
B. Pradeep Kumar ◽  
John Selvam ◽  
V. S. Meenakshi ◽  
K. Kanthi ◽  
A. L. Suseela ◽  
...  

2008 ◽  
pp. 2289-2295 ◽  
Author(s):  
Hamid R. Nemati ◽  
Christopher D. Barko

An increasing number of organizations are struggling to overcome “information paralysis” — there is so much data available that it is difficult to understand what is and is not relevant. In addition, managerial intuition and instinct are more prevalent than hard facts in driving organizational decisions. Organizational Data Mining (ODM) is defined as leveraging data mining tools and technologies to enhance the decision-making process by transforming data into valuable and actionable knowledge to gain a competitive advantage (Nemati & Barko, 2001). The fundamentals of ODM can be categorized into three fields: Artificial Intelligence (AI), Information Technology (IT), and Organizational Theory (OT), with OT being the core differentiator between ODM and data mining. We take a brief look at the current status of ODM research and how a sample of organizations is benefiting. Next we examine the evolution of ODM and conclude our chapter by contemplating its challenging yet opportunistic future.


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