Hasil untuk "Business records management"

А. С. Карнаушенко, В. С. Петренко

Військовий туризм розглядається як перспективний напрям розвитку туристичної галузі, який відіграє важливу роль у відновленні постраждалих регіонів України. Попри активний розвиток військового туризму у світі, в Україні він залишається недостатньо дослідженим і потребує комплексного підходу до його розвитку. Значення військового туризму полягає не лише у збереженні історичної пам’яті, а й у створенні економічних можливостей для постраждалих громад. Метою дослідження є: визначення економічного потенціалу військового туризму як інструменту регіонального розвитку та повоєнного відновлення України. Дослідження ґрунтується на комплексному підході з використанням методу аналізу та синтезу, порівняльний методу та методу структурно-функціонального аналізу. Основна гіпотеза дослідження - «військовий туризм сприятиме економічному відновленню постраждалих регіонів України через стимулювання малого бізнесу, створення робочих місць та розвиток туристичної інфраструктури», що успішно підтверджена у процесі дослідження. Встановлено, що глобальний ринок військового туризму у 2024 р. становив $33,4 млрд і зростатиме на 3,1% щорічно, тому є необхідність у включенні до стратегії розвитку постраждалих громад даного напряму туризму. На основі міжнародного досвіду вдалося згенерувати економічну модель розвитку постраждалих територій через військовий туризм. Встановлено, що військовий напрям туризму сприяє економічному зростанню, створенню робочих місць, наповненню місцевих бюджетів та досягненню Цілей сталого розвитку. Разом із тим, виявлено основні виклики: безпекові ризики, відсутність законодавчого регулювання, етичні погляди населення та потребу у фінансовій підтримці. Теоретичне значення дослідження полягає у розширенні наукового підходу до аналізу військового туризму як інструменту відновлення регіонального розвитку. Практична цінність полягає у можливості застосування результатів дослідження у розробці державної політики у сфері військового туризму, формування програм міжнародного партнерства та залучення фінансування для повоєнного та післявоєнного відновлення туристичної інфраструктури України. Наукова новизна дослідження полягає у комплексному аналізі економічного потенціалу військового туризму для відновлення постраждалих територій та систематизації міжнародного досвіду розвитку військового туризму, що дозволило ідентифікувати ефективні механізми його впровадження в українських реаліях. Подальші дослідження можуть зосередитися на механізмах державної підтримки, оцінці довгострокових економічних ефектів та інтеграції військового туризму в загальну політику розвитку туризму. Стаття є теоретичною.

Robiatul Auliyah, Mohammad Nasih, Dian Agustia

This research explores the determinants of business success at Sunan Derajat Islamic Boarding School. Most Islamic boarding schools in Indonesia are dominant as educational institutions and preachers, so many do not run businesses for economic independence, resulting in the boarding schools charging high tuition fees for their students. This research was conducted through a qualitative approach by conducting focus group discussions with Islamic boarding school officials who are competent in providing information. Business success at Sunan Derajat Islamic Boarding School is determined by good management, professional accounting and clear accountability. Good management by committing to excellent service with spirituality. Adequate accounting in preparing financial statements is based on Indonesian Accounting Standards for Non-Publicly-Accountable Entities (SAK ETAP) and recording based on invoices/transaction records. Accountability is two-fold to Allah and Kyai (Islamic scholar) Ghofur as the boarding school caretaker. Also, accountability to Allah is manifested in Prayers and Dhikr, while accountability to Kyai Ghofur is in the form of financial statements that are accounted for weekly, monthly and annually. All transactions are authorized to avoid misuse of responsibility.

Francesco Vinci, Gyunam Park, Wil van der Aalst et al.

Business Process Simulation (BPS) refers to techniques designed to replicate the dynamic behavior of a business process. Many approaches have been proposed to automatically discover simulation models from historical event logs, reducing the cost and time to manually design them. However, in dynamic business environments, organizations continuously refine their processes to enhance efficiency, reduce costs, and improve customer satisfaction. Existing techniques to process simulation discovery lack adaptability to real-time operational changes. In this paper, we propose a streaming process simulation discovery technique that integrates Incremental Process Discovery with Online Machine Learning methods. This technique prioritizes recent data while preserving historical information, ensuring adaptation to evolving process dynamics. Experiments conducted on four different event logs demonstrate the importance in simulation of giving more weight to recent data while retaining historical knowledge. Our technique not only produces more stable simulations but also exhibits robustness in handling concept drift, as highlighted in one of the use cases.

Shahaf Bassan, Shlomit Gur, Sergey Zeltyn et al.

Tasks in Predictive Business Process Monitoring (PBPM), such as Next Activity Prediction, focus on generating useful business predictions from historical case logs. Recently, Deep Learning methods, particularly sequence-to-sequence models like Long Short-Term Memory (LSTM), have become a dominant approach for tackling these tasks. However, to enhance model transparency, build trust in the predictions, and gain a deeper understanding of business processes, it is crucial to explain the decisions made by these models. Existing explainability methods for PBPM decisions are typically *post-hoc*, meaning they provide explanations only after the model has been trained. Unfortunately, these post-hoc approaches have shown to face various challenges, including lack of faithfulness, high computational costs and a significant sensitivity to out-of-distribution samples. In this work, we introduce, to the best of our knowledge, the first *self-explaining neural network* architecture for predictive process monitoring. Our framework trains an LSTM model that not only provides predictions but also outputs a concise explanation for each prediction, while adapting the optimization objective to improve the reliability of the explanation. We first demonstrate that incorporating explainability into the training process does not hurt model performance, and in some cases, actually improves it. Additionally, we show that our method outperforms post-hoc approaches in terms of both the faithfulness of the generated explanations and substantial improvements in efficiency.

Sun Ding, Ude Enebeli, Atilhan et al.

Modern firms face a flood of dense, unstructured reports. Turning these documents into usable insights takes heavy effort and is far from agile when quick answers are needed. VTS-AI tackles this gap. It integrates Visual Thinking Strategies, which emphasize evidence-based observation, linking, and thinking, into AI agents, so the agents can extract business insights from unstructured text, tables, and images at scale. The system works in three tiers (micro, meso, macro). It tags issues, links them to source pages, and rolls them into clear action levers stored in a searchable YAML file. In tests on an 18-page business report, VTS-AI matched the speed of a one-shot ChatGPT prompt yet produced richer findings: page locations, verbatim excerpts, severity scores, and causal links. Analysts can accept or adjust these outputs in the same IDE, keeping human judgment in the loop. Early results show VTS-AI spots the direction of key metrics and flags where deeper number-crunching is needed. Next steps include mapping narrative tags to financial ratios, adding finance-tuned language models through a Model-Context Protocol, and building a Risk & Safety Layer to stress-test models and secure data. These upgrades aim to make VTS-AI a production-ready, audit-friendly tool for rapid business analysis.

Yilong Lai, Yipin Yang, Jialong Wu et al.

Recent years have witnessed the rapid development of LLM-based agents, which shed light on using language agents to solve complex real-world problems. A prominent application lies in business agents, which interact with databases and internal knowledge bases via tool calls to fulfill diverse user requirements. However, this domain is characterized by intricate data relationships and a wide range of heterogeneous tasks, from statistical data queries to knowledge-based question-answering. To address these challenges, we propose CRMWeaver, a novel approach that enhances business agents in such complex settings. To acclimate the agentic model to intricate business environments, we employ a synthesis data generation and RL-based paradigm during training, which significantly improves the model's ability to handle complex data and varied tasks. During inference, a shared memories mechanism is introduced, prompting the agent to learn from task guidelines in similar problems, thereby further boosting its effectiveness and generalization, especially in unseen scenarios. We validate the efficacy of our approach on the CRMArena-Pro dataset, where our lightweight model achieves competitive results in both B2B and B2C business scenarios, underscoring its practical value for real-world applications.

fatemeh fereydouni, Tohid Aghayi, mehrdad moharamzadeh

Abstract The aim of the present study was to provide a model of the effect of brand knowledge and quality perception on future purchase of sports products among sports science students at public universities in Tehran. The present study is a descriptive-survey type and falls into the category of applicable research. The statistical population included physical education students at public universities in Tehran. Since the number of the statistical population was unknown, the size of the population was considered unlimited, and using the Krejci and Morgan table, 384 people were considered as a sample. A researcher-made questionnaire was used to collect data by combining several questionnaires. The questionnaire consisted of 24 questions, the face and content validity of which was confirmed by sports marketing professors. An exploratory factor analysis test was also used to determine the construct validity, and all questions had a factor loading higher than 0.3. The structural equation modeling analysis method was performed using AMOS24 software. The findings from structural equation modeling showed that brand knowledge, emphasizing the mediating role of the quality perception has an impact on future purchases of sports products. The fit indices also confirmed the suitability of the model. Sports product manufacturers can help customers select and purchase their products by identifying product quality signs and considering these signs in the product production plan. This strategy can increase customer trust and encourage future purchases, which will ultimately lead to improved brand performance in a competitive market. Introduction Throughout history, registering personal symbols and works has always been of interest (Jafari et al., 2020). The term "brand" emerged in the field of marketing in the early 21st century (Dasic et al., 2021), and today the issue of branding in sports has many supporters (Zakerian et al., 2020). Peters (1997) defined personal branding as a marketing tool for self-promotion and achieving business goals (Park et al., 2020). Customer perceptions of a brand direct their behavior and are critical for organizations. Positive perceptions lead to sustainable competitive advantage that allows them to sell products at higher prices, increase market share, develop effective relationships, and build consumer loyalty (Dedeoglu et al., 2019). On the other hand, purchase intention indicates a customer’s interest in a brand or product and the likelihood of purchasing it, and is related to attitude and preference towards the brand (Wang & Chen, 2019). In today’s dynamic market with intense competition and changing consumer behavior, maintaining brand loyalty is a serious challenge (Nengsih et al., 2023). This loyalty is influenced by positive experiences, emotional connections, and perceived value (Agnihotri, 2023). However, constant changes in consumer preferences make it difficult for brands to adapt to changing needs (Othman et al., 2022). Also, prioritizing factors such as convenience, price, and quality over brand identity has led to a decrease in the importance of brand loyalty (Kato et al., 2021). Therefore, the present study aims to answer the question: how brand knowledge affects perceived quality and future purchase, and how perceived quality affects future purchase of sports products? Theoretical Framework Brand Quality Brand quality, as an important component of customer-based brand equity, refers to customers' overall perception of the quality of a brand's product. Brand recognition and perceived quality significantly affect future purchases of sports goods. High brand awareness and trust increase consumers' willingness to purchase, strengthen loyalty, and repeat purchase intention, especially when consumers prioritize quality and reliability in their purchase decisions. The increasing emphasis on brand awareness and perceived quality necessitates companies to invest in effective marketing strategies that resonate with their target audiences, ultimately increasing sales and strengthening customer loyalty (Ramadhani et al., 2022). Perceived brand quality refers to consumers' evaluation of the overall superiority or superiority of a brand. It should be noted that higher perceived brand quality significantly positively affects consumer purchase decisions (Wakirva et al., 2024). Future purchase Purchase intention refers to the prediction of the consumer's likelihood of willingness to purchase a product, such that the higher the likelihood of willingness, the stronger the purchase intention, and consequently, the higher the purchase intention, the more likely the occurrence of actual purchase. Purchase intention can be predicted from attitudes, subjective norms, and observed behavioral control. Behavioral intention indicates the intensity of an individual's intentions and will to perform the target behavior. The relationship between behavioral intention and behavior indicates that individuals tend to engage in behaviors that they intend to perform (Eskandari et al., 2021). Purchase intention refers to a consumer's decision to purchase a product after making an evaluation in the future. The purchase intention process begins with product evaluation. People use their existing knowledge, experience, and external information to make the evaluation (Chen & Lee, 2020). Brand Knowledge Brand knowledge can be interpreted as knowledge about a brand in a person's mind that is stored in the consumer's memory, that is, all information about a brand is both descriptive and evaluative (Revaliana & Susilawaty, 2023). It has also been shown that brand knowledge is based on constant communication with consumers that evokes a real understanding of the product or service, so brand knowledge can understand explicit and tacit knowledge; so that Keller (Cheung et al., 2020) states that brand awareness and brand image are important components of brand knowledge. Firmansyah et al., (2024) conducted a study titled Repurchase Intention in Chinese Smartphone Brands. The results showed that the important role of country image, perceived quality, and perceived value in influencing the willingness to repurchase Chinese smartphone brands. This study also proves the important role of perceived quality in perceived value and repurchase intention in Chinese smartphone brands. Shabrina Wafa et al., (2022) in their study titled The Effect of Brand Awareness, Brand Associations, and Perceived Quality on Nike Basketball Shoes Purchase Decisions show that brand awareness and perceived quality significantly affect Nike basketball shoes purchase decisions and indicates that increasing these factors can have a positive impact on future purchases of sporting goods among consumers, especially in the basketball community in Venusobo. Rafdinal & Suhartanto (2020) in a study titled Loyalty Model for Ethnic Restaurants: The Role of Quality and Value show that consumers make repeat purchases when they feel the added value they receive from using a product, such as ease of access to the product, reasonable price, and product benefits. Research Methodology The present study is of a descriptive-survey type and falls into the category of applicable research. The statistical population consisted of physical education students at Tehran state universities. Due to the uncertainty of the population size, a sample size of 384 people was selected based on the Krejci and Morgan table (for an unlimited population). Data were collected with a 24-question researcher-made questionnaire (a combination of several questionnaires). The face and content validity of the questionnaire was confirmed by sports marketing experts, and the construct validity was also examined with exploratory factor analysis (factor loadings >0.3). Data analysis was performed by structural equation modeling in AMOS24 software. Research findings The results of the path analysis showed that brand knowledge has an effect on perception of quality with a standard coefficient of 0.43, on future purchase with a standard coefficient of 0.19, and on quality perception with a standard coefficient of 0.67. These findings indicate that brand knowledge, especially by creating positive experiences for customers, can affect their purchasing decisions. In addition, a positive perception of product quality is an important factor in increasing the likelihood of future purchase. Conclusion This study aimed to present a model of the effect of brand knowledge and quality perception on future purchase of sports products among sports science students of public universities in Tehran. The results of the study are consistent with the results of Konjkav et al., (2019), Ayuni & Porwanto (2023), Babayifarsani et al., (2022), Almursyid et al., (2024), Hernandez & Lewis (2019), Behrozi & Sohrabi (2022) and Ezati & Mazaheri (2021), and the findings of Chen & Lin (2019). The results of the study showed that successful experiences of purchasing sports products can lead to increased consumer trust and increased brand loyalty. It was also suggested that sports brands should improve brand knowledge and quality perception by focusing on improving product quality, providing transparent information, and using effective advertising. Based on the present study, the following suggestions are made:  Considering the importance of brand knowledge and quality perception, sports brands should develop marketing and advertising programs tailored to customers' needs and expectations.  Examining consumer behavior and using their feedback can help improve the shopping experience and promote customer loyalty.  Sports brands should pay special attention to transferring accurate knowledge and information about the quality and features of their products.  Sports brands should try to create a positive perception of their brand quality in the minds of customers by emphasizing the quality of their products, especially through advertising and introducing outstanding product features.  Providing clear and accurate information about the features and benefits of products can help increase customer trust and loyalty and pave the way for future purchases of these brands.

О. В. Баженова, З. С. Варналій, О. П. Микитюк

У статті в результаті застосування методу головних компонент визначено фактори, які пояснюють варіацію індикаторів системі соціальної безпеки людини.  Перехід від множини індикаторів цієї системи до множини головних компонент меншої розмірності, які є некорельованими між собою величинами, здійснено внаслідок взаємної корельованості індикаторів. Отриманій множині властиві ті ж причинно-наслідкові зв’язки, які властиві і системі соціальної безпеки людини. Відповідно до отриманих результатів найбільш впливовими внутрішніми чинниками, що здійснюють позитивний вплив на соціальну безпеку людини під час війни, є особовий склад збройних сил (% від загальної кількості робочої сили), внутрішній кредит приватному сектору банками (% ВВП), частка населення, що має доступ до основних санітарних послуг (% населення), негативний - умисні вбивства і замахи на вбивство (на 100 000 осіб), частка людей з доходом нижче 50 відсотків середнього доходу (%), кількість внутрішньо переміщених осіб, нові переміщення, пов’язані з конфліктом і насильством (кількість випадків). Значення коефіцієнту автокореляції для рівня соціальної безпеки людини в Україні, спричиненого внутрішніми чинниками, свідчить про середню стійкість соціальної безпеки людини, що викликана дією внутрішніх чинників. За умов війни система соціальної безпеки людини характеризується превалюванням зовнішніх шокових впливів над внутрішніми. Тому забезпечення стійкості соціальної безпеки людини в умовах війни має передбачати запровадження ефективних механізмів та інструментів державної політики, фокусуючись на захисті і самозбереженні людини. В контексті проведеного дослідження захист і самозбереження людини  передбачають збільшення обсягу військових видатків та ефективне використання коштів державного бюджету на військові потреби та удосконалення системи соціального забезпечення внутрішньо переміщених осіб і ветеранів. Забезпечення життєдіяльності та добробуту мають обумовлюватися підвищенням ефективності заходів щодо зростання очікуваної тривалості життя при народженні та зменшення рівня бідності у країні. Підвищення рівня освіти та саморозвитку має виступати основним тригером економічного зростання у післявоєнний період. Стаття – аналітична. Статтю підготовлено в межах виконання проєкту НФД України «Нові геостратегічні загрози соціальній безпеці людини в умовах гібридної війни та шляхи їх запобігання» реєстраційний номер 2021.01/0239.

І. О. Іванов

У статті досліджено проблему відсутності чіткого визначення поняття «алокація активів» як в українській, так і в зарубіжній науковій літературі. Проаналізовано деякі визначення, що надаються видатними вченими в області портфельного менеджменту, та виявлено наявні неоднозначності. Запропоновано нове визначення поняття «алокація активів», яке є чітким та враховує основні аспекти цього процесу та відповідає сучасним реаліям фінансових ринків. Розглянуто класифікацію активів за класами в різних наукових працях та визначено, що класифікація активів проводиться суб’єктивно керуючим інвестиційного портфеля безпосередньо в процесі управління інвестиційним портфелем на початкових етапах з урахуванням поставлених вимог та обмежень. Досліджено особливості різних підходів до алокації активів, виділено такі типи як стратегічна, тактична дискреційна, тактична систематична та динамічна алокації активів. Проведено порівняльний аналіз підходів до алокації активів з ряду факторів, таких як фундаментальний принцип, що лежить в основі підходу, частота ребалансування, механізм прийняття рішень, мінімальний рівень експертних знань та контроль ризику. Виділено переваги та недоліки кожного підходу, що дозволить інвестиційним фондам обрати той підхід, що найбільше пасує до їхньої інвестиційної стратегії. Визначено перспективи подальших досліджень у напрямку створення більш уніфікованої класифікації активів, зокрема враховуючи суб’єктивний характер класифікації, який виявлено у даній роботі. Тип статті: емпірична.

Mark Fenwick, Erik P. M. Vermeulen, Marcelo Corrales Compagnucci

Identifying and then implementing an effective response to disruptive new AI technologies is enormously challenging for any business looking to integrate AI into their operations, as well as regulators looking to leverage AI-related innovation as a mechanism for achieving regional economic growth. These business and regulatory challenges are particularly significant given the broad reach of AI, as well as the multiple uncertainties surrounding such technologies and their future development and effects. This article identifies two promising strategies for meeting the AI challenge, focusing on the example of Fintech. First, dynamic regulation, in the form of regulatory sandboxes and other regulatory approaches that aim to provide a space for responsible AI-related innovation. An empirical study provides preliminary evidence to suggest that jurisdictions that adopt a more proactive approach to Fintech regulation can attract greater investment. The second strategy relates to so-called innovation ecosystems. It is argued that such ecosystems are most effective when they afford opportunities for creative partnerships between well-established corporations and AI-focused startups and that this aspect of a successful innovation ecosystem is often overlooked in the existing discussion. The article suggests that these two strategies are interconnected, in that greater investment is an important element in both fostering and signaling a well-functioning innovation ecosystem and that a well-functioning ecosystem will, in turn, attract more funding. The resulting synergies between these strategies can, therefore, provide a jurisdiction with a competitive edge in becoming a regional hub for AI-related activity.

Andrea Zugarini, Andrew Zamai, Marco Ernandes et al.

Albeit Natural Language Processing has seen major breakthroughs in the last few years, transferring such advances into real-world business cases can be challenging. One of the reasons resides in the displacement between popular benchmarks and actual data. Lack of supervision, unbalanced classes, noisy data and long documents often affect real problems in vertical domains such as finance, law and health. To support industry-oriented research, we present BUSTER, a BUSiness Transaction Entity Recognition dataset. The dataset consists of 3779 manually annotated documents on financial transactions. We establish several baselines exploiting both general-purpose and domain-specific language models. The best performing model is also used to automatically annotate 6196 documents, which we release as an additional silver corpus to BUSTER.

Ling Chen

This paper investigates the application of Feature-Enriched Generative Adversarial Networks (FE-GAN) in financial risk management, with a focus on improving the estimation of Value at Risk (VaR) and Expected Shortfall (ES). FE-GAN enhances existing GANs architectures by incorporating an additional input sequence derived from preceding data to improve model performance. Two specialized GANs models, the Wasserstein Generative Adversarial Network (WGAN) and the Tail Generative Adversarial Network (Tail-GAN), were evaluated under the FE-GAN framework. The results demonstrate that FE-GAN significantly outperforms traditional architectures in both VaR and ES estimation. Tail-GAN, leveraging its task-specific loss function, consistently outperforms WGAN in ES estimation, while both models exhibit similar performance in VaR estimation. Despite these promising results, the study acknowledges limitations, including reliance on highly correlated temporal data and restricted applicability to other domains. Future research directions include exploring alternative input generation methods, dynamic forecasting models, and advanced neural network architectures to further enhance GANs-based financial risk estimation.

Fariba Burbur

Due to the increasing attention to the leadership factor in creating organizational changes at the world level and since this factor is considered one of the key components in the organization\'s success, as well as the influence of this factor on the organization\'s culture and employees\' performance, the purpose of this research is to investigate the effect of servant leadership. Organizational culture and employees\' performance, taking into account the mediating variable of the organizational commitment of the employees of the welfare department of Tehran province. The statistical population of this study consists of all managers and employees based in the office. The analysis was descriptive and were selected using simple random sampling, 314 people based on Cochran formula. In order to collect data, four questionnaires of Bar Barbuto & Wheeler\'s servant leadership, Quinn and Cameron\'s organizational culture, Meyer and Allen\'s employee performance and organizational commitment questionnaires were used. The results showed that all dimensions of servant leadership have a positive and significant effect on organizational culture and employee performance. There is also a positive and significant relationship between servant leadership and organizational commitment.

Nikolaos Misirlis

This review examines the scientific articles of the last decade, approaching the subject through the methodology of the scoping literature review. Starting with the Boolean search global citizens AND education AND (international business OR international business school) in the ScienceDirect, Emerald, and Scopus databases, the review resulted in only scientific journal articles, strictly targeted at tertiary education ONLY of international business schools and ONLY in those articles that study global citizenship. For reasons of up-to-date knowledge, the present literature was content with the final decade. A total of 13 articles are recorded as a result of the aforementioned Boolean search from a total of 216 articles identified in the first phase of the search. The results will help the researchers to acquire the required knowledge base for their research, the academics to incorporate new methods in their teaching and the approach of their students, and the policymakers to adapt the schools curricula according to the data from the articles present in the literature review.

Mayla Khoiriyah, Arumega Zarefar, Atika Zarefar et al.

This research aims to test the influence of corporate governance and disclosure of social responsibility on corporate risk. The research was conducted on primary and secondary industrial companies listed on the Indonesia Stock Exchange (IDX) using data from 2014 to 2020. Data analysis will be done by quantitative data analysis with regression analysis using panel data. The results show that corporate governance and corporate social responsibility have a significant effect on company risk. The results are expected to be an additional reference to academics and researchers, about governance, disclosure of corporate social responsibility and its relationship to corporate risk, as well as an additional reference for capital market supervisors and regulators around corporate management.

Defi Warman, Budiyanto Budiyanto, Agustedi Agustedi

This study aimed to develop a conceptual model of the role of differentiation strategy and organizational citizenship behavior in mediating the effect of transformational leadership on the performance of private high schools in Pekanbaru. The sample was 140 principals and vice-principals of private high schools in Pekanbaru. The data obtained were processed using Structural Equation Modeling Partial Least Square (SEM PLS). The findings in this study are that transformational leadership has a positive effect on the performance of private high schools in Pekanbaru, differentiation strategy and organizational citizenship behavior mediate the effect of transformational leadership on the performance of private high schools in Pekanbaru. The most effective pathway to affect the performance of private high schools is the mediating pathway of organizational citizenship behavior on the effect of transformational leadership on the performance of private high schools.

Yama YOLDASH, Nicoleta ISAC

The purpose of this study is to investigate the cause of cynicism, cynicism dimensions and its consequences: job satisfaction, breach of psychological contract, organizational commitment, and organizational justice in Afghanistan’s NGOs. As Afghanistan is located in central Asia thousands of NGOs came to rebuild the Afghanistan in different sections such as construction, education, health, agriculture. These (NGOs) to implement their programs hired thousands of employees. Thus, it was necessary to conduct a study, to analyze how employees of these international organizations are experiencing from their working environments during their employment. The primary data were collected using a survey and the participants in our study were 100 from 16 NGOs. The results show that the NGOs’ employees have high levels of the cynicism in the organization, which have a negative impact on job satisfaction.

Halil DINCER KAYA, Engku Ngah S. ENGKUCHIK

We compare China’s performance to the performances of Brazil, India, and South Africa over the 1985-2011 period. We look into several areas including patent applications by residents, scientific and technical journal articles, final consumption expenditure, exports, household consumption, government consumption, gross capital formation, gross domestic savings, age dependency ratio, foreign direct investment, energy production, and domestic credit to private sector. We find that, out of the twelve measures that we examine, China’s annual percentage improvement was significantly better than the other three BRICS countries in only three measures. These are patent applications by residents, scientific and technical journal articles, and energy production. These findings indicate that science and innovation had been very important for China’s development. Also, the country’s efforts in energy production including its partnerships in other countries had been key to its economic development.

Romi, Mochamad Vrans, Soetjipto, Noer, Widaningsih, Sri et al.

Problems related to emotional intelligence, job satisfaction, organizational citizenship behavior, and organizational commitment in the world of education, especially lecturers in providing services for students is relevant in the analysis for the sustainability of the quality of an institution. Thus, this study aims to analyze the increase in organizational commitment in Indonesia by involving 371 lecturers from 19 universities in Bandung. Structural Equation Modeling (SEM) using AMOS was employed in selecting the sample. The results explain emotional intelligence had positive effects on organizational citizenship behavior and on organizational commitment, and job satisfaction had positive effects on organizational citizen-ship behavior and on organizational commitment. Organizational citizenship behavior was empirically proven to have a positive effect on organizational commitment. In examining the mediating variable, the results show that emotional intelligence positively influenced the organizational commitment through organizational citizenship, and that job satisfaction had a positive effect on organizational commitment through organizational citizenship behavior as a mediating variable.

Maayan Goldstein, Cecilia Gonzalez-Alvarez

Business process modelers need to have expertise and knowledge of the domain that may not always be available to them. Therefore, they may benefit from tools that mine collections of existing processes and recommend element(s) to be added to a new process that they are constructing. In this paper, we present a method for process autocompletion at design time, that is based on the semantic similarity of sub-processes. By converting sub-processes to textual paragraphs and encoding them as numerical vectors, we can find semantically similar ones, and thereafter recommend the next element. To achieve this, we leverage a state-of-the-art technique for embedding natural language as vectors. We evaluate our approach on open source and proprietary datasets and show that our technique is accurate for processes in various domains.