“PERAN TEKNOLOGI INFORMASI BAGI PERUSAHAAN DALAM MENGHADAPI PERSAINGAN”

ABSTRACKInformation technology is booming so that it has become an important part of the world including the territory of Indonesia, not only that information technology also has an important role in companies, one of which is in global business competition. The rapid development of information technology in today's era has even made it easier for all company operations to be able to encourage and maximize the company's plans to face global business competition. The important role of information technology in global competition where technology can be used as a competitive advantage for companies and make information resources so that they can become strengths in global business competition.Keyword : Informations technology, Global Business Competition.ABSTRAKTeknologi infomasi yang melesat sehingga telah menjadi bagian penting di belahan dunia termasuk wilayah Indonesia, tidak hanya itu teknologi informasi juga memiliki peran penting dalam perusahaan yang salah satunya yaitu pada persaingan binis global. Melesatnya teknologi informasi di zaman sekarang bahkan menjadikan bagian yang memudahkan segala operasional perusahaan yang mampu mendorong dan memaksimalkan rencana perusahaan dalam menghadapi persaingan bisnis global. Peran penting teknologi infomasi dalam persaingan global yang dimana teknologi mampu dijadikan sebagai keunggulan kompetitif perusahaan dan menjadikan sumber daya infromasi yang sehingga mampu menjadi kekuatan dalam persaingan bisnis global. Kata kunci : Teknologi infomasi, Persaingan Bisnis Global.

Modeling the Impact of Corporate Risk Management on Firms’ Financial Performance and Sustainable Growth

Growing complexities in the indigence and global business environment, the demand for Corporate Risk Management (CRM) has fostered greatly. Equally, Financial Performance (FP) and Sustainable Growth Rate (SGR) are believed to be vital parameters for assessing any organisation's success. Both FP and SGR are get affected by different risks. Therefore, to the best of our knowledge, this paper is the first endeavour meant to empirically shed light on the Impact of CRM on a firm’s FP and SGR. By taking a sample of 160 listed Non-Financial firms from emerging and developed Countries stocks markets, on the bases of market capitalization, covering a period of 12 years (2007-2018). The CRM index has been constructed by using the Principal Component Analysis technique. Panel data fixed-effect Model applied on the bases of Hausman test. The results articulated that CRM has a significant and positive impact on ROE and SGR in the context of both cases. In contrast, inflation negatively relates to both scenarios, but the size and Gross Domestic Product (GDP) have a positive and significant relationship with ROE and SGR. However, in Pakistan's case, Size and GDP have articulated adverse effect on ROE and SGR.

Collective impact of scrap, random breakdown, overtime and discontinuous issuing on batch production planning in a supply-chain environment

This research explores the collective impact of overtime, random breakdown, discontinuous issuing rule, and scrap on batch production planning in a supply-chain environment. In today’s global business environment, manufacturing firms encounter numerous operational challenges. Externally, they must promptly satisfy the customers’ various requests, while internally, they must cautiously manage several inevitable issues in the fabrication process. These issues might be concerned with scrap, random breakdown, etc. Resolving such issues is crucial for meeting the due dates of customers’ orders, adhering to the expected manufacturing schedules, product quality, and minimizing the total fabrication-transportation-inventory costs. The study develops a model to characterize the system’s features mentioned above and assist the manufacturers with batch fabrication planning. The model proposes a solution process with an algorithm seeking an optimal runtime for the system. Additionally, it gives a numerical illustration depicting the collective and individual impacts of these special features on the operating policy and other performance indices. This model and the research findings can facilitate manufacturers’ decision-making for green batch fabrication and enhance competitive advantage.

Disruption in HR Through Inclusive Emotional Culture

Diversity in workforce has demanded the need to develop inclusive culture that suffices the needs, interests, and emotions of all equally. High-performing organizations have incorporated emotions in their mission, creating an emotional culture that accentuates emotional intelligence of their talent force rather than suppression of emotions. The chapter explains how and why organizational cultures are transforming into inclusive emotional cultures. Through an analysis of cases of Indian multinationals, the antecedents and outcomes of Inclusive emotional culture is described through Inclusive Emotional Culture Framework model. Views of HR managers are expressed through content analysis qualitative technique. The chapter provides a key to sustainable development of Indian businesses amidst the doldrums of global business environment through inclusive emotional culture integrating values of long-term sustenance and development.

EFFECTIVE DECISION SUPPORT IN THE BIG DATA ERA

This study conducts a review and synthesis of the Business Intelligence and Analytics (BI&A) evolution, applications, frameworks and emerging trends with the aim to provide a summary of core concepts, a succinct but valuable description of main applications and frameworks, and an account of main recommendations for addressing the Big Data challenges and opportunities. It develops an integrated and organized view on the BI&A evolution process and presents an integrated BI&A application framework to help organizations adopt or develop the appropriate BI&A solutions to derive the desired impact in the Big Data era. This paper also elicits a set of practical recommendations to executives and leaders in organizations worldwide for interpreting the BI&A literature and applying the rich body of knowledge for IT practitioners. It traces the BI&A evolution to data-driven discovery and highly proactive and creative decision-making utilizing advanced analytical techniques with unstructured and massive data sources to cope with a highly dynamic global business environment in the Big Data era.

The Prediction of Essential Medicines Demand: A Machine Learning Approach Using Consumption Data in Rwanda

Today’s global business trends are causing a significant and complex data revolution in the healthcare industry, culminating in the use of artificial intelligence and predictive modeling to improve health outcomes and performance. The dataset, which was referred to is based on consumption data from 2015 to 2019, included approximately 500 goods. Based on a series of data pre-processing activities, the top ten (10) essential medicines most used were chosen, namely cotrimoxazole 480 mg, amoxicillin 250 mg, paracetamol 500 mg, oral rehydration salts (O.R.S) sachet 20.5 g, chlorpheniramine 4 mg, nevirapine 200 mg, aminophylline 100 mg, artemether 20 mg + lumefantrine (AL) 120 mg, Cromoglycate ophthalmic. Our study concentrated on the application of machine learning (ML) to forecast future trends in the demand for essential drugs in Rwanda. The following models were created and applied: linear regression, artificial neural network, and random forest. The random forest was able to predict 10 selected medicines with an accuracy of 88 percent with the train set and 76 percent with the test set, and it can thus be used to forecast future demand based on past consumption data by inputting a month, year, district, and medicine name. According to our findings, the random Forest model performed well as a forecasting model for the demand for essential medicines. Finally, data-driven predictive modeling with machine learning (ML) could become the cornerstone of health supply chain planning and operational management.

Objectives and Structure of the Information and Communication System for "Smart" Organic Farming

The authors showed that the organic production is an actively growing global business: in 2017, it occupied more than 1.4 percent of all agricultural land on the planet. The authors emphasized the relevance of digitalization with the constant growth of the database, which the farmer needs to process quickly and effi ciently. (Research purpose) To form the structure of the information and communication system for the «smart» crop organic farming and the database necessary for its training and ensuring its functioning. (Materials and methods) The prior research was used, as well as previously created databases and information from the existing literature. Since 2016, a multifactorial experiment with potatoes has been carried out as part of an organic crop rotation to fi ll the information base with experimental data. (Results and discussion) The structure of the information and communication system of the “smart” organic crop production has been formed. It is based on the territory digital map and agricultural crop digital models. In the course of the work of the system, we decided to make daily changes to the digital model of agricultural crops based on the incoming agroecological information, as well as to prepare recommendations on the relevant choice and use of the planned technological operations. It was found out that in a fouryear fi eld experiment, the potato yield in the control variant (without the introduction of compost and pesticides) averaged 21.7 tons per hectare, and when using compost and biofungicide Kartofi n, it increased to 26.7 tons per hectare. The authors calculated multiple linear regression equations describing the dependence of the nitrogen mineral form content in the soil in June on the sum of the active temperatures during this period and the compost dose (the correlation coeffi cient is 0.658); and the dependence of potato yield on the nitrogen mineral form content in the soil in the fi rst ten days of June and the sum of active temperatures in May-June (the correlation coeffi cient is 0.667). (Conclusions) The authors presented the structure of the information and communication system of an organic agricultural enterprise, substantiated the possibility of its full implementation as a tool that helps agricultural producers to carry out environmentally safe, competitive and effi cient organic production at a totally new level.

The Challenges of Implementing Robotic Process Automation in Global Business Services

Organizations use a variety of automation tools to simplify their tasks. One of the tools is Robotic Process Automation (RPA). Recently the issues of the less-than-successful use of the system have been raised. To address this issue, the aim of this study is to understand the challenges of implementing RPA in Global Business Services (GBS) industry. The study is conducted using an in-depth case study approach and interviews at one of the world’s largest oil and gas organizations in the GBS industry. The result of the study showed that the organization is facing various challenges and issues during and after implementing the RPA technology in their organization. Amongst the challenges are the limitation of the task that can be automated, system failure, and safety and data privacy issues. The study suggested that good planning during the implementation of RPA and a strong security team are crucial in solving the challenges faced by the organization.

Changes in sustainability in the global wine industry

Purpose The wine industry is the one that is tightly linked to sustainability as its processes both impact and are impacted by the environment, society and companies’ financial well-being. However, data show that this may not be recognized in practice. Thus, this research paper aims to examine what has changed with respect to sustainability practices over the past 10–15 years in this industry. Design/methodology/approach A development-based multi-method approach was used to examine the purpose. In Phase 1, a grounded theory study conducted between 2009 and 2015 from wine businesses in 12 different global regions brought to light a potential disconnect between theory and practice in the importance of sustainability. In Phase 2, a comprehensive literature review and analysis of updated online content from the Phase 1 companies was conducted to paint a picture of the progression of sustainability focus and its implementation in company processes. Findings Using legitimacy theory as a foundation, it was found that the choice to pursue sustainability in this industry generally begins with a focus on environmental practices followed by financial sustainability and more recently social sustainability. Producers are also starting to emphasize overall sustainability often encompassing all three dimensions. The industry has also progressed through “levels of sophistication” in the different major supply chain processes (supply, production and distribution) over the years with their environmental efforts. Originality/value A framework of sustainability growth in the industry through a matrix of process sophistication is developed from the data. The results offer implications for theory, practice and industry policy and informs the future trajectory of sustainability within global business.