Management Processing Research Articles

APPLICATION OF NEWSROOM CONVERGENCE IN REGIONAL MEDIA SOLOPOS NEWSROOM

Changes in the consumption pattern of public information media ultimately have an impact on the dimming of the existence of the print media industry. The dynamics of technological change and competition are also felt by regional print media with a smaller market scale. Convergence is an alternative solution for regional print media to adapt to changes that occur, one of which is Solopos. In practice, the application of convergence in Solopos results in a reorganization of media management and newsroom processing. Thus directing the media to the concept of newsroom. This study aims to describe the application of newsroom convergence in the Solopos regional media newsroom. Descriptive qualitative research method was carried out by means of semi-structured interviews, observation, and documentation studies for data collection. Informants in this research included managing editors, print content managers, online content managers, Solopos reporter. Through this research, it has been found that convergence newsroom in the Solopos newsroom is carried out by implementing online-first, developing Content Management System (CMS) Solopos as a news control center, integrating the role of journalists between platforms in journalistic workflows and unifying the placement of newsrooms between platforms into a single newsroom. This research concludes that the editors in Solopos are currently implementing convergence with the newsroom 2.0: cross media newsroom since the beginning of 2022 to the journalistic workflow and editorial management system. The maximum unification of the roles and duties of journalists between platforms only occurs at the content gathering stage and is not yet fully controlled centrally.

Volatility spillovers during normal and high volatility states and their driving factors: A cross‐country and cross‐asset analysis

AbstractUnderstanding the transmission of volatility across markets is essential for managing risk and financial stability, especially under crisis periods during which an extreme event occurring in one market is easily transmitted to another market. To gain such an understanding and enrich the related literature, we examine in this article the system of volatility spillovers across various equity markets and asset classes using a quantile‐based approach, allowing us to capture spillovers under normal and high volatility states. The sample period is 16 March 2011–10 November 2020 and the employed dataset comprises 12 implied volatility indices representing a forward‐looking measure of uncertainty of global equities, strategic commodities and the US Treasury bond market. The results show that the identity of transmitters and receivers of volatility shocks differ between normal and high volatility states. The US stock market is at the centre of volatility spillovers in the normal volatility state. European and Chinese stock markets and strategic commodities (e.g. crude oil and gold) become major volatility transmitters in the high volatility state, after acting as volatility receivers during normal periods. Furthermore, we study the drivers of implied volatility spillovers using regression models and find that US Default spread contributes to the total volatility spillover index in both volatility states, whereas TED spread plays a significant role in the normal volatility state. As for the role of short rate and risk aversion, it is significant in the high volatility state. These findings matter to the decision‐making process of risk managers and policymakers.

PROSPECTS OF LEARNING PSYCHOLOGICAL DISCIPLINES FOR HR

Studying at the National University of Food Technologies provides for systematic surveys of applicants for higher education aimed at optimizing the pedagogical process, in which, in particular, respondents note the high quality of teaching psychological disciplines and the need for further in-depth study of them. This fact determines the relevance of the problem of studying psychological disciplines for HR. The paper analyzes the compliance of the existing academic disciplines with the author's programme for the formation of psychological competence on the example of the pedagogical process of applicants for the educational degrees "Bachelor" and "Master" of the educational and professional programme "Personnel Management" full-time and part-time forms of education, that is, HR managers. The psychological content of the integral, general, professional competencies and programme learning outcomes illustrates the importance of mastering psychological disciplines for the HR sphere. The implementation of the original programme for the formation of the psychological competence of food industry specialists developed by the author in previous studies in the educational and professional process of future HR managers is effective, as evidenced by applicants for higher education, after mastering the "Fundamentals of Psychology", then they regularly choose psychological disciplines from the catalogue of the educational programme and the general university catalogue: Fundamentals of psychodiagnostics for HR, Psychology of HR professional activity, Psychology of soft skills in personnel management, Psychology of success, Leadership and team building. The best graduates apply the acquired psychological competencies in their own professional activities and become stakeholders, who, in turn, encourage the deepening of knowledge, skills and abilities during the learning of psychological disciplines in the process of social and educational training of personnel managers. The author determined that the study of psychological disciplines will allow applicants for higher education to be successful HR managers and to fulfill effectively their professional duties in future.

한 경영자의 횟집 운영 성공 사례에 대한 생애사 연구

The purpose of this study is to contribute to the revitalization of restaurant business by reproducing the process of a hoetjip manager's extraordinary working life and success story after founding the business with a study of life history research, a qualitative study. The results of this study are as follows. First, President Lee Bada created a sound occupation view as a chef through unusual choices and determination, and through the foregoing, he developed a future-oriented kitchen work culture. Second, after the establishment of the hoetjip, President Lee Bada has exhibited servant leadership to practice low attitude and consideration thereby strengthening emotional empathy with business partners and acting as a counselor to employees. Third, President Lee Bada discovered and implemented unique policies in the concept and promotion of restaurant operation thereby achieving innovation and high performance in hoetjip management. The results of this study explored the process of transformation into a unique philosophy and entrepreneur through the life history of a chef. It is expected that the process and results will provide useful directions for those who want to become cooks and those who want to start a restaurant business hereafter.

Pengelolaan Dana Bantuan Operasional Sekolah Di SMK Batik 1 Surakarta

The study was to determine the effective, efficient, and transparent processing of BOS management at SMK Batik 1 Surakarta. This research is a qualitative descriptive study. In this qualitative research, interviews and observations as well as document reviews are the main data collection methods. The data was analyzed in 3 steps, namely: data collection, data reduction, and data display. The result of BOS report at SMK Batik 1 Surakarta was credible. It can be credible because it was showing effectiveness and efficiency. The evidence was the budget plan is by the outcome of the expenses budget. SMK Batik 1 Surakarta also strives to expose the results of the BOS management to all parties involved.

A behavioural model of managerial performance information use: evidence from survey experiment in South Korea

ABSTRACT There has been increased scholarly interest in behavioural perspectives on performance information use. However, limited information about how public managers process performance information is available. We performed a survey experiment focusing on a sample of public managers with the same job attributes and analysed the impacts of comparison type and performance gap on the assessment of performance information. Our findings reflect the fact that the cognitive processes of public managers using performance information are contingent on context – type of reference point, performance gap, and type of performance indicator – under performance regimes with strong external control.

Three-Dimensional Engine-Based Geometric Model Optimization Algorithm for BIM Visualization with Augmented Reality.

Building information modeling (BIM), a common technology contributing to information processing, is extensively applied in construction fields. BIM integration with augmented reality (AR) is flourishing in the construction industry, as it provides an effective solution for the lifecycle of a project. However, when applying BIM to AR data transfer, large and complicated models require large storage spaces, increase the model transfer time and data processing workload during rendering, and reduce visualization efficiency when using AR devices. The geometric optimization of the model using mesh reconstruction is a potential solution that can reduce the required storage while maintaining the shape of the components. In this study, a 3D engine-based mesh reconstruction algorithm that can pre-process BIM shape data and implement an AR-based full-size model is proposed, which is likely to increase the efficiency of decision making and project processing for construction management. As shown in the experimental validation, the proposed algorithm significantly reduces the number of vertices, triangles, and storage for geometric models while maintaining the overall shape. Moreover, the model elements and components of the optimized model have the same visual quality as the original model; thus, a high performance can be expected for BIM visualization in AR devices.

Determinants of the use of European Structural and Investment Funds

We investigate the determinants of the effective use of European Structural and Investment Funds. We use a newly constructed database of the 1024 programmes from the last two programme periods that started in 2007 and 2014, respectively. Our results show that virtually all programmes fail to meet the initial deadline and need the extension period to be able to spend the funds initially allocated. About 45% of EU funds allocated are not used by the initial deadline and a tenth of the programmes end up not using over 10% of the funds. Our econometric analysis shows that beyond institutional framework measures of accountability, law and order, corruption and public officials’ attitudes, education and management capacity are key determinants in the efficient use of fund allocation. These findings are in line with previous work documenting that, as in the private sector, management capacity plays an important role in explaining government efficiency. In such circumstances, implementing measures that help bureaucracies deal with the lack of management skills and processing capacity – such as outsourcing fund management – may improve the efficient use of EU funds.

A review on management practices, environmental impacts, and human exposure risks related to electrical and electronic waste in Vietnam: findings from case studies in informal e-waste recycling areas.

Electrical and electronic waste (e-waste) has become a global concern, especially in developing countries. In this review, we conducted a literature survey of e-waste management practices, processing activities, and adverse effects in Vietnam, an emerging country in Southeast Asia, by gathering data from peer-reviewed articles published between 2009 and 2021. This is the first review paper to comprehensively discuss management and research aspects regarding e-waste in an Asian developing country. Due to the lack of an effective management and recycling system, a certain portion of Vietnamese e-waste has been processed by informal sectors without appropriate recycling and pollution control technology, resulting in localized contamination and human exposure to toxic chemicals. Primitive processing activities, such as manual dismantling, open burning, and plastic recycling, have been identified as important contributors to the environmental emission and human exposure to toxic elements (notably As, Mn, Ni, Pb, Zn) and organic pollutants like flame retardants, PAHs, PCBs, and dioxin-related compounds. Informal e-waste processing from these small-scale workshops can release pollutants at similar levels compared to large-scale facilities in developed countries. This fact suggests an urgent need to develop management best practices for e-waste in Vietnam as well as other emerging and developing countries, in order to increase recycling efficiency and minimize their adverse impacts on environmental and human health.

AUTOREGRESSIVE INTEGRATED MOVING AVERAGE FOR COCOA PRODUCTION IN SULAWESI ISLAND 2021-2030

Agribusiness Cocoa on the island of Sulawesi is very supported by the availability of land plantations to produce production even bigger cocoa with management plant and processing seed good cocoa _ thus producing quality cocoa beans. However Thus, various problems are still just faced in the cultivation of cocoa which resulted in the decline in results production. At the moment this Indonesia's position is ranked third highest, however with problems production faced _ of course just rating this could shift to down, though riches nature and location geographical very support cultivation. Research results use the Autoregressive Integrated Moving Average (ARIMA) method, which shows that the area and cocoa production on Sulawesi Island in 2021-2030 experience fluctuation. Southeast Sulawesi is a province on the island of Sulawesi which has the highest area (445.91 ha) in 2030, however, Central Sulawesi Province occupies a position as the center production major by 2030 with a production of 151.68 tons/ha.

Health services in Australia and the impact of antiquated rostering practices on medical scientists: a case for HR analytics and evidenced-based human resource management

PurposeThe purpose of this study is to examine the rostering practices and work experiences of medical scientists at four health services in the Australian public healthcare sector. There are over 16,000 medical scientists (AIHW, 2019) in Australia responsible for carrying out pathology testing to help save the lives of thousands of patients every day. However, there are systemic shortages of medical scientists largely due to erratic rostering practices and workload issues. The purpose of this paper is to integrate evidence-based human resource management (EBHRM), the LAMP model and HR analytics to enhance line manager decision-making on rostering to support the wellbeing of medical scientists.Design/methodology/approachUsing a qualitative methodological approach, the authors conducted 21 semi-structured interviews with managers/directors and nine focus groups with 53 medical scientists, making a total 74 participants from four large public hospitals in Australia.FindingsAcross four health services, manual systems of rostering and management decisions do not meet the requirements of the enterprise agreement (EA) and impact negatively on the wellbeing of medical scientists in pathology services. The authors found no evidence of the systematic approach of the organisations and line managers to implement the LAMP model to understand the root causes of rostering challenges and negative impact on employees. Moreover, there was no evidence of sophisticated use of HR analytics or EBHRM to support line managers' decision-making regarding mitigation of rostering related challenges such as absenteeism and employee turnover.Originality/valueThe authors contribute to HRM theory by integrating EBHRM, the LAMP model (Boudreau and Ramstad, 2007) and HR analytics to inform line management decision-making. The authors advance understandings of how EBHRM incorporating the LAMP model and HR analytics can provide a systematic and robust process for line managers to make informed decisions underpinned by data.

The language and social behavior of innovators

Innovators are creative people who can conjure the ground-breaking ideas that represent the main engine of innovative organizations. Past research has extensively investigated who innovators are and how they behave in work-related activities. In this paper, we suggest that it is necessary to analyze how innovators behave in other contexts, such as in informal communication spaces, where knowledge is shared without formal structure, rules, and work obligations. Drawing on communication and network theory, we analyze about 38,000 posts available in the intranet forum of a large multinational company. From this, we explain how innovators differ from other employees in terms of social network behavior and language characteristics. Through text mining, we find that innovators write more, use a more complex language, introduce new concepts/ideas, and use positive but factual-based language. Understanding how innovators behave and communicate can support the decision-making processes of managers who want to foster innovation.

Digital Development for Music Appreciation of Information Resources Using Big Data Environment

With the continuous development of information technology and the arrival of the era of big data, music appreciation has also entered the digital development. Big data essence is highlighted by comparison with traditional data management and processing technologies. Under different requirements, the required time processing range is different. Music appreciation is an essential and important part of music lessons, which can enrich people’s emotional experience, improve aesthetic ability, and cultivate noble sentiments. Data processing of music information resources will greatly facilitate the management, dissemination, and big data analysis and processing of music resources and improve the ability of music lovers to appreciate music. This paper aims to study the digital development of music in the environment of big data, making music appreciation more convenient and intelligent. This paper proposes an intelligent music recognition and appreciation model based on deep neural network (DNN) model. The use of DNN allows this study to have significant improvement over the traditional algorithm. This paper proposes an intelligent music recognition and appreciation model based on the DNN model and improves the traditional algorithm. The improved method in this paper refers to the Dropout method on the traditional DNN model. The DNN is trained on the database and tested on the data. The results show that, in the same database, the traditional DNN model is 114 and the RNN model is 120. The PPL of the improved DNN model in this paper is 98, i.e., the lowest value. The convergence speed is faster, which indicates that the model has stronger music recognition ability and it is more conducive to the digital development of music appreciation.

Onboarding for New Managers? Yeah, nah

This article explores the onboarding process for new managers joining food and beverage organisations, and the role of Organisational Socialisation. Our study identified a heavy reliance on informal training practices, most frequently through on-the-job learning, meaning that newcomers were found to depended on their subordinates’ support to gain vital institutional information. To mitigate the disconnect between hiring and becoming an accepted leader, Human Resource Managers have an opportunity to adjust their managerial onboarding.

Comparison between LASSO and RT methods for prediction of generic E. coli concentration in pastured poultry farms

Though most strains of E. coli are non-pathogenic components of the intestinal microbiome, certain pathogenic E. coli strains are the cause of diseases and outbreaks. Poultry is identified as a common reservoir for pathogenic E. coli. It is important to identify farm practice factors associated with E. coli in the pastured poultry environment. The objective of this study is to develop models that can predict E. coli levels and to select farm practice factors contributing to E. coli concentration in pastured poultry farms. Five kinds of samples: feces, soil, whole carcass rinse after processing (WCR-P), final product after chilling and storage (WCR-F), and ceca samples were collected for E. coli counts from 11 pastured poultry farms in the southeastern US. The regression tree (RT) and least absolute shrinkage and selection operator (LASSO) methods were applied to data from each sample type. The farm management practices and processing factors such as source of eggs, type of feed used, appearance of other animals on farm, chilling method, and storage time and temperature were all considered as possible explanatory factors in the models. Models were developed to predict the levels of E. coli and to select the most important factors used in predicting E. coli population. Model performances were compared using root mean square error (RMSE). For feces samples, average number of birds and animal source were the two most important variables affecting E. coli population by LASSO. The RT selected animal source, brood feed, day of year, flock age in days, and flock size as the most important variables in predicting E. coli concentration. The RMSE (in log10 scale) under LASSO was 0.974, while under RT it was 1.032 for feces samples. The predictive models provide practical and effective tools to predict E. coli population and to identify farm practice factors that affect E. coli levels.

Public Managers’ Awarness: Toward a More Conscious Management

The concept of situation awareness, still little used in management science, can play an important role in the decision-making process of public managers. This contribution focuses on the role of public managers, and more specifically local managers, in the transformation of the Public Service. It seeks to show that a manager who has

Top Executive Emotion in Strategic Management: Theory, Measurement, and Future Research

The main research questions that this symposium addresses are why it is important to examine top executives' emotion in strategic management and how to quantify it to layout future research. Our understanding of managerial emotion is falling behind because we seem only to scratch the surface of the impact of emotional processes of top executives, while studies have been held captive by the cognitive processes of top managers’ decision-making (Hodgkinson & Healey, 2011; Liu et al., 2018; Walsh, 1995). Interactive discussion with experts in this symposium offers insights into the role of top executives' emotional and affective characteristics in different contexts and underlying mechanisms in managerial decision-making. It also encourages scholars to expand emotion studies while exploring various empirical approaches and broader emotional traits.

SQLite

In the two decades following its initial release, SQLite has become the most widely deployed database engine in existence. Today, SQLite is found in nearly every smartphone, computer, web browser, television, and automobile. Several factors are likely responsible for its ubiquity, including its in-process design, standalone codebase, extensive test suite, and cross-platform file format. While it supports complex analytical queries, SQLite is primarily designed for fast online transaction processing (OLTP), employing row-oriented execution and a B-tree storage format. However, fueled by the rise of edge computing and data science, there is a growing need for efficient in-process online analytical processing (OLAP). DuckDB, a database engine nicknamed "the SQLite for analytics", has recently emerged to meet this demand. While DuckDB has shown strong performance on OLAP benchmarks, it is unclear how SQLite compares. Furthermore, we are aware of no work that attempts to identify root causes for SQLite's performance behavior on OLAP workloads. In this paper, we discuss SQLite in the context of this changing workload landscape. We describe how SQLite evolved from its humble beginnings to the full-featured database engine it is today. We evaluate the performance of modern SQLite on three benchmarks, each representing a different flavor of in-process data management, including transactional, analytical, and blob processing. We delve into analytical data processing on SQLite, identifying key bottlenecks and weighing potential solutions. As a result of our optimizations, SQLite is now up to 4.2X faster on SSB. Finally, we discuss the future of SQLite, envisioning how it will evolve to meet new demands and challenges.

Organizational Learning and Search Track: Scientific and Technical Knowledge: Search, Diffusion, and Impact

Both innovation and entrepreneurship crucially rely on scientific and technical knowledge. Scientific and engineering principles can be applied to processes of creative search to resolve technical problems, increase useful innovation, and create new business opportunities. Yet, recent years have seen dramatic changes in how knowledge is generated and diffused, with still limited evidence on how these changes are impacting innovation. The emergence of big data and computational capabilities might provide “automated” ways to generate knowledge in the form of predictive statements. What are their effects on the innovation search process and on the rate and the direction of technical change? Furthermore, these trends are magnified by the diffusion of the internet and digital modes of exchanging information. How important is the human component for the diffusion of knowledge? Is the diffusion and impact of knowledge still dependent on localized interactions, despite the widespread availability of ICT and the internet? This panel symposium will assemble four papers on the topics of search, diffusion, and impact of technical knowledge. It will discuss 1) the role of data in the search for innovation, 2) the directional consequences of data availability on the accumulation and diffusion of technical knowledge, and 3) the localization of knowledge and how physical proximity of scientists and inventors influence knowledge flows and company creation. These questions are important to craft strategy processes for managers and the allocation of resources for policymakers.

PROFILE AND EFFICACY TO THE TEACHERS’ SKILLS IN INFORMATION AND COMMUNICATION TECHNOLOGY

This study aimed to determine the relationship between the teacher?s profile and the efficacy of the teachers? skills in Information and Communication Technology. Specifically, it once determines the following: First, the profile of the respondents in terms of age, civil status, educational attainment, gender, specialization, and training or seminars attended relative to ICT. Next, is the level of teacher?s efficacy in terms of adaptability, flexibility, growth mindset, and patience. Then the extent of teacher?s skills in using ICT relative to data management, email management, internet navigation, word processing and touch-typing skills. It also determines if the profile and efficacy have a significant relationship to the teachers? skills in ICT. Most of the respondents were aged 30 and below, female, married, with Master?s Units, with 3-4 seminars and training related to ICT, and teaching all subject areas. The teachers? efficacy in terms of adaptability, growth mindset, and patience were very high while flexibility was high. The extent of Teachers? skills in using ICT relative to Data Management, Touch Typing, and Word Processing were interpreted as To a Great Extent while Email Management and Internet Navigation skills were To a Very Great Extent. Teachers? age showed a significant relationship in terms of Data Management, Email Management, Internet Navigation skills, Touch Typing, and Word Processing Skills while teachers? civil status, educational attainment, gender, specialization, and training or seminars attended have no significant relationship. Teachers? efficacy such as adaptability, flexibility, growth mindset, and patience showed significant relationships in terms of Data Management, Email Management, Internet Navigation skills, Touch Typing, and Word Processing Skills. Based on the findings of this study, the following conclusions were drawn, the profile of teachers was partially accepted in the use of ICT tools in chosen elementary schools in Nagcarlan District. The teachers? efficacy has a significant relationship with the use of ICT tools in chosen elementary schools in the Nagcarlan District. Based on the conclusions of this study, the following recommendations were formulated. To be more computer and information literate, comprehensive and extensive computer literacy programs for teachers may be conducted frequently to meet the needs of the teachers. Using ICT in doing work tasks such as preparing lessons and reports, communicating online, searching for information and other related activities may be strengthened to lessen the burden of teacher?s workloads