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2022 ◽  
Vol 14 (2) ◽  
pp. 946
Author(s):  
Moon Young Kang

Considering their significant impacts on national economy, local communities, employees, suppliers, and other stakeholders, firm survival is an important goal for most companies. However, firm longevity is not an easy result to achieve, and it becomes more difficult as business environments shift dramatically. The average life span of companies listed in Standard and Poor’s 500 was 61 years in 1958, but it fell to less than 18 years in 2016. Nevertheless, more than 3000 companies over 200 years old still operate in Japan, mostly family inherited small and medium enterprises (SMEs), and Germany has many centenarian companies, especially in the manufacturing industry. However, in the Republic of Korea, with over 4000 years of history, there are no companies older than 200 years and only seven companies with over 100 years of history. Centenarian companies in Korea are very limited, and even after surviving over 100 years, they continue to face severe challenges they need to overcome in order to survive. However, it is not clearly proven what factors affect the survival of companies for over a century. Since SMEs contribute to the economic development and survival of a country, it is important to investigate the secrets of their longevity, which has become even more difficult than ever. However, as there is very limited research on firm longevity, the findings from this case study of Dongwha Pharmaceutical, balancing the continuity of tradition and innovation, provide significant implications and practical guidelines for Korean SMEs for their survival and sustainable management, which is an economic and business aspect of sustainability.


Sensors ◽  
2022 ◽  
Vol 22 (1) ◽  
pp. 338
Author(s):  
Matevž Pustišek ◽  
Min Chen ◽  
Andrej Kos ◽  
Anton Kos

Blockchain ecosystems are rapidly maturing and meeting the needs of business environments (e.g., industry, manufacturing, and robotics). The decentralized approaches in industries enable novel business concepts, such as machine autonomy and servitization of manufacturing environments. Introducing the distributed ledger technology principles into the machine sharing and servitization economy faces several challenges, and the integration opens new interesting research questions. Our research focuses on data and event models and secure upgradeable smart contract platforms for machine servitization. Our research indicates that with the proposed approaches, we can efficiently separate on- and off-chain data and assure scalability of the DApp without compromising the trust. We demonstrate that the secure upgradeable smart contract platform, which was adapted for machine servitization, supports the business workflow and, at the same time, assures common identification and authorization of all the participants in the system, including people, devices, and legal entities. We present a hybrid decentralized application (DApp) for the servitization of 3D printing. The solution can be used for or easily adapted to other manufacturing domains. It comprises a modular, upgradeable smart contract platform and off-chain machine, customer and web management, and monitoring interfaces. We pay special attention to the data and event models during the design, which are fundamental for the hybrid data storage and DApp architecture and the responsiveness of off-chain interfaces. The smart contract platform uses a proxy contract to control the access of smart contracts and role-based access control in function calls for blockchain users. We deploy and evaluate the DApp in a consortium blockchain network for performance and privacy. All the actors in the solution, including the machines, are identified by their blockchain accounts and are compeers. Our solution thus facilitates integration with the traditional information-communication systems in terms of the hybrid architectures and security standards for smart contract design comparable to those in traditional software engineering.


2022 ◽  
pp. 205-230
Author(s):  
S. Asif Basit

The aim of this chapter is to establish that the principles used by neural networks can be applied to business process management. The similarity between artificial neurons and business processes, and hence between neural networks and process landscapes, will be demonstrated. This novel approach leads to an emphasis on process interactions and their effect on actions as a major governing factor in controlling process outputs. Stigmergic interaction in biological systems is explored in the context of business processes, and its potential to understand process interaction is investigated. In order to verify the use of stigmergy in business environments, a pilot study is described in which shop floor business processes in a retailing environment are observed and described using a stigmergic framework. Establishing the viability of using stigmergic interaction to control process actions and outputs is the first step towards designing neural process networks.


2022 ◽  
pp. 245-261
Author(s):  
Emmanuel Wusuhon Yanibo Ayaburi ◽  
Michele Maasberg ◽  
Jaeung Lee

Organizations face both opportunities and risks with big data analytics vendors, and the risks are now profound, as data has been likened to the oil of the digital era. The growing body of research at the nexus of big data analytics and cloud computing is examined from the economic perspective, based on agency theory (AT). A conceptual framework is developed for analyzing these opportunities and challenges regarding the use of big data analytics and cloud computing in e-business environments. This framework allows organizations to engage in contracts that target competitive parity with their service-oriented decision support system (SODSS) to achieve a competitive advantage related to their core business model. A unique contribution of this paper is its perspective on how to engage a vendor contractually to achieve this competitive advantage. The framework provides insights for a manager in selecting a vendor for cloud-based big data services.


2022 ◽  
pp. 1688-1706
Author(s):  
Pınar Uçar

Electronic human resources management is the use of information technologies for human resources applications that enable easy interaction between employees and employers. Therefore, through electronic human resources management, information about recruitment, performance management, strategic orientation, and education is provided. Competitive business environments have made institutions and organizations to take into account innovations and superiorities to survive. In this context, one of the biggest obstacles that the human resources department has to overcome is the rapidly changing technological environment. The possibilities of technology for human resources management are infinite. In principle, all human resources processes are supported by technology. One of the areas where communication and information technology can be used effectively is events. This chapter describes how communication and information technology can be used effectively when planning and managing human resources in event organizations.


2021 ◽  
Vol 3 (2) ◽  
pp. 143-152
Author(s):  
Zia-ur-Rehman Rao ◽  
Romel John ◽  
Haleema Tariq

Due to increased trend in job transitions, prospects of occupation these days are difficult to predict. Therefore, workers need to develop differentiated set of skills and competences to be able to adapt to a variety of available occupations. The volatility in employability due to ever changing technologies, business environments and models need to focus on becoming lifelong learners not only to maintain their employability but to create more opportunities for themselves. This situation has affected work like of people in a way that the careers no more belong to the organizations but to individual. According to the literature on boundaryless careers, there are three types of variables that can be used to predict career success. Combinations of these three variables are generally referred to as career competencies. Theoretical research reveals that 'understanding why, ‘whom,' and 'how' are the three most important indicators of career success. The findings demonstrate that proactive career behaviors are predicted by future work self and identity resolution. Future work self has a significant positive impact on employment status and, as a result, can lead to future employment success. The findings also revealed that future work self predicts career planning the most. Career consultation is the second most reliable indicator of future employment. Future work self can also forecast proactive skill improvement and proactive career consulting. The study showed results that identity resolution predicts career planning the most. Identity resolution also predicts proactive skill development, career consultation and proactive career networking.


Data ◽  
2021 ◽  
Vol 7 (1) ◽  
pp. 2
Author(s):  
Vittoria Biagi ◽  
Riccardo Patriarca ◽  
Giulio Di Gravio

Managers are required to make fast, reliable, and fact-based decisions to encompass the dynamicity of modern business environments. Data visualization and reporting are thus crucial activities to ensure a systematic organizational intelligence especially for technological companies operating in a fast-moving context. As such, this paper presents case-study research for the definition of a business intelligence model and related Key Performance Indicators (KPIs) to support risk-related decision making. The study firstly comprises a literature review on approaches for governance management, which confirm a disconnection between theory and practice. It then progresses to mapping the main business areas and suggesting exemplary KPIs to fill this gap. Finally, it documents the design and usage of a BI dashboard, as emerged via a validation with four managers. This early application shows the advantages of BI for both business operators and governance managers.


2021 ◽  
Vol 13 (24) ◽  
pp. 13814
Author(s):  
Olena Liakh

Accountability assessment is a highly relevant challenge for companies nowadays. The COVID-19 pandemic prompted a digital acceleration in business environments, which in turn brought more focus on sustainability practices that could help organizations better demonstrate their accountability, thus making them more resilient to the ever-changing socio-economic context. Therefore, this paper aims to evaluate how to further improve corporate accountability (on a strategic and operational level), taking advantage of the digitalization changes that companies are being forced to go through and applying them to the sustainability evaluation process, including the reporting as its final output. The first research outcome is a combined framework, based on data governance and sustainability literature models, seeking to optimize the manageability of sustainability data. The second outcome is a matrix, based on a content analysis of 20 sustainability reports, representing eight possible types of behavior that companies adopt when integrating digitalization practices into their sustainability evaluation process. The aim is to explore how the communication of digital activities could refine the diligence of the sustainability assessment process, with disclosure representing its last step. Finally, the ‘leading’ case was broken down into the general strategic components that could potentially be included in a balanced data-sustainability reporting strategy.


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