Search results for: neighbor based key sharing

Authors: Kyung Min Kang, Peng Mou, Dong Xiang, Gang Shen

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For planetary gear system, Planet pin-hole position accuracy is one of most influential factor to efficiency and reliability of planetary gear system. This study considers planet pin-hole position error as a main input error for model and build multi body dynamic simulation model of planetary gear including planet pin-hole position error using MSC. ADAMS. From this model, the mesh load results between meshing gears in each pin-hole position error cases are obtained and based on these results, planet load sharing factor which reflect equilibrium state of mesh load sharing between whole meshing gear pair is calculated. Analysis result indicates that the pin-hole position error of tangential direction cause profound influence to mesh load and load sharing factor between meshing gear pair.

Keywords: planetary gear, load sharing factor, multibody dynamics, pin-hole position error

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Authors: Jihen Bennaceur, Wissem Zouaghi, Ali Mabrouk

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The major aim of cyber threat intelligence (CTI) is to provide sophisticated knowledge about cybersecurity threats to ensure internal and external safeguards against modern cyberattacks. Inaccurate, incomplete, outdated, and invaluable threat intelligence is the main problem. Therefore, data analysis based on AI algorithms is one of the emergent solutions to overcome the threat of information-sharing issues. In this paper, we propose a supervised machine learning-based algorithm to improve threat information sharing by providing a sophisticated classification of cyber threats and data. Extensive simulations investigate the accuracy, precision, recall, f1-score, and support overall to validate the designed algorithm and to compare it with several supervised machine learning algorithms.

Keywords: threat information sharing, supervised learning, data classification, performance evaluation

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Authors: Zuzana Crhová, Karel Kolman, Drahomíra Pavelková

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Knowledge is considered as an important asset which can help organizations to create competitive advantage. The necessity of taking care of these assets is more important in these days – in days of turbulent changes in business environment. Knowledge could facilitate adaption to constant changes. The aim of this paper is to describe how the knowledge sharing can be supported in the manufacturing companies. The methods of case studies and grounded theory were used to present information gained by carrying out semi-structured interviews. Results show that knowledge sharing is supported in very similar ways in respondent companies.

Keywords: case study, human resource management, knowledge, knowledge sharing

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Authors: V. Charaia

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This article presents SWOT analysis for Georgian - South Ossetian conflict. The research analyzes socio-economic aspects and considers future prospects for all sides including neighbor countries and regions. Also it includes the possibilities of positive intervention of neighbor countries to solve the conflict or to mitigate its negative results. The main question of the article is: What will it take to award Georgians and South Ossetians with a peace dividend?

Keywords: conflict economics, investments, trade, remittances

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Authors: Galih Imaduddin

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Knowledge has been viewed as one of the most important resources in organizations, including those that operate in the healthcare sector. On that basis, Knowledge Management (KM) is crucial for healthcare organizations to improve their productivity and ensure effective utilization of their resources. Despite the growing interests to understand how KM might work for healthcare organizations, there is only a modest amount of empirical inquiries which have specifically focused on the tools and initiatives to share knowledge. Hence, the main purpose of this paper is to investigate the way healthcare organizations, particularly public sector ones, utilize knowledge sharing tools and initiatives for the benefit of patient-care. Employing a qualitative method, 13 (thirteen) Community Health Centers (CHCs) from a high-performing district health setting in Indonesia were observed. Data collection and analysis involved a repetition of document retrievals and interviews (n=41) with multidisciplinary health professionals who work in these CHCs. A single case study was cultivated reflecting on the means that were used to share knowledge, along with the factors that inhibited the exchange of knowledge among those health professionals. The study discovers that all of the thirteen CHCs exhibited and applied knowledge sharing means which included knowledge documents, virtual communication channels (i.e. emails and chatting applications), and social learning forums such as staff meetings, morning briefings, and communities of practices. However, the intensity of utilization was different among these CHCs, in which organizational culture, leadership, professional boundaries, and employees’ technological aptitude were presumed to be the factors that inhibit knowledge sharing processes. Making a distance with the KM literature of other sectors, this study denounces the primacy of technology-based tools, suggesting that socially-based initiatives could be more reliable for sharing knowledge. This suggestion is largely due to the nature of healthcare work which is still predominantly based on the tacit form of knowledge.

Keywords: knowledge management, knowledge sharing, knowledge sharing tools and initiatives, knowledge sharing inhibitors, primary health care organizations

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Authors: Matloub Hussaina

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This paper investigates the impact of information sharing and capacity constraints on backlog bullwhip effect of Automatic Pipe Line Inventory and Order Based Production Control System (APIOBPCS). System dynamic simulation using iThink Software has been applied. It has been found that smooth ordering by Tier 1 can be achieved when Tier 1 has medium capacity constraints. Simulation experiments also show that information sharing helps to reduce 50% of backlog bullwhip effect in capacitated supply chains. This knowledge is of value per se, giving supply chain operations managers and designers a practical way in to controlling the backlog bullwhip effect. Future work should investigate the total cost implications of capacity constraints and safety stocks in multi-echelon supply chain.

Keywords: supply chain dynamics, information sharing, capacity constraints, simulation, APIOBPCS

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Authors: Miao Li, Mengyuan Xu

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As a low-carbon travel mode, bicycling has drawn increasing political interest in the contemporary Chinese urban context, and the public sharing bikes have become the most popular ways of bike usage in China now. This research aims to explore the spatial-temporal relationship between sharing bike usage and different characteristics of the urban street built environment. In the research, street segments were used as the analytic unit of the street built environment defined by street intersections. The sharing bike usage data in the research include a total of 2.64 million samples that are the entire sharing bike distribution data recorded in two days in 2018 within a neighborhood of 185.4 hectares in the city of Wuhan, China. And these data are assigned to the 97 urban street segments in this area based on their geographic location. The built environment variables used in this research are categorized into three sections: 1) street design characteristics, such as street width, street greenery, types of bicycle lanes; 2) condition of other public transportation, such as the availability of metro station; 3) Street function characteristics that are described by the categories and density of the point of interest (POI) along the segments. Spatial Lag Models (SLM) were used in order to reveal the relationships of specific urban streets built environment characteristics and the likelihood of sharing bicycling usage in whole and different periods a day. The results show: 1) there is spatial autocorrelation among sharing bicycling usage of urban streets in case area in general, non-working day, working day and each period of a day, which presents a clustering pattern in the street space; 2) a statistically strong association between bike sharing usage and several different built environment characteristics such as POI density, types of bicycle lanes and street width; 3) the pattern that bike sharing usage is influenced by built environment characteristics depends on the period within a day. These findings could be useful for policymakers and urban designers to better understand the factors affecting bike sharing system and thus propose guidance and strategy for urban street planning and design in order to promote the use of sharing bikes.

Keywords: big data, sharing bike usage, spatial statistics, urban street built environment

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Authors: Eranga N. Somaratna, Pradeep Dharmadasa

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In the current competitive environment, the factors leading to organization success are not limited to the investment of capital, labor, and raw material, but in the ability of knowledge innovation from all the members of an organization. However, knowledge on its own cannot provide organizations with its promised benefits unless it is shared, as organizations are increasingly experiencing unsuccessful knowledge sharing efforts. In such a backdrop and due to the dearth of research in this area in the South Asian context, the study set forth to develop an understanding of the factors that influence knowledge-sharing behavior within an organizational framework, using widely accepted social psychology theories. The purpose of the article is to discover the determinants of knowledge-sharing intention and actual knowledge sharing behaviors of bank employees in Sri Lanka using an aggregate model. Knowledge sharing intentions are widely discussed in literature through the application of Ajzen’s Theory of planned behavior (TPB) and Theory of Social Capital (SCT) separately. Both the theories are rich to explain knowledge sharing intention of workers with limitations. The study, therefore, combines the TPB with SCT in developing its conceptual model. Data were collected through a self-administrated paper-based questionnaire of 199 bank managers from 6 public and private banks of Sri Lanka and analyzed the suggested research model using Structural Equation Modelling (SEM). The study supported six of the nine hypotheses, where Attitudes toward Knowledge Sharing Behavior, Perceived Behavioral Control, Trust, Anticipated Reciprocal Relationships and Actual Knowledge Sharing Behavior were supported while Organizational Climate, Sense of Self-Worth and Anticipated Extrinsic Rewards were not, in determining knowledge sharing intentions. Furthermore, the study investigated the effect of demographic factors of bankers (age, gender, position, education, and experiences) to the actual knowledge sharing behavior. However, findings should be confirmed using a larger sample, as well as through cross-sectional studies. The results highlight the need for theoreticians to combined TPB and SCT in understanding knowledge workers’ intentions and actual behavior; and for practitioners to focus on the perceptions and needs of the individual knowledge worker and the need to cultivate a culture of sharing knowledge in the organization for their mutual benefit.

Keywords: banks, employees behavior, knowledge management, knowledge sharing

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Authors: Sahani Rathnasiri, Pritee Ray, Sardar M. N. Isalm, Carlos A. Vega-Mejia

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This study develops a cooperative game theory-based cost-sharing contract model for a business to consumer (B2C) e-commerce supply chain to minimize the overall supply chain costs and the individual costs within an information asymmetry scenario. The objective of this study is to address the issues of strategic interactions among the key players of the e-commerce supply chain operation, which impedes the optimal operational outcomes. Game theory has been included in the field of supply chain management to resolve strategic decision-making issues; however, most of the studies are limited only to two-echelons of the supply chains. Multi-echelon supply chain optimizations based on game-theoretic models are less explored in the previous literature. This study adopts a cooperative game model to focus on the common payoff of operations and addresses the issues of information asymmetry and coordination of a three-echelon e-commerce supply chain. The cost-sharing contract model integrates operational features such as production, inventory management and distribution with the contract related constraints. The outcomes of the model highlight the importance of maintaining lower operational costs by all players to obtain benefits from the cost-sharing contract. Further, the cost-sharing contract ensures true cost revelation, and hence eliminates the information asymmetry issues among the players. Comparing the results of the contract model with the de-centralized e-commerce supply chain operation further emphasizes that the cost-sharing contract derives Pareto-improved outcomes and minimizes the costs of overall e-commerce supply chain operation.

Keywords: cooperative game theory, cost-sharing contract, e-commerce supply chain, information asymmetry

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Authors: Sawsan J. Al-husseini, Talib A. Dosa

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Educational institutions are today facing increasing pressures due to economic, political and social upheaval. This is only exacerbated by the nature of education as an intangible good which relies upon the intellectual assets of the organisation, its staff. Top management support has been acknowledged as having a positive general influence on knowledge management and creativity. However, there is a lack of models linking top management support, knowledge sharing, and innovation within higher education institutions, in general within developing countries, and particularly in Iraq. This research sought to investigate the impact of top management support on innovation through the mediating role of knowledge sharing in Iraqi private HEIs. A quantitative approach was taken and 262 valid responses were collected to test the causal relationships between top management support, knowledge sharing, and innovation. Employing structural equation modelling with AMOS v.25, the research demonstrated that knowledge sharing plays a pivotal role in the relationship between top management support and innovation. The research has produced some guidelines for researchers as well as leaders, and provided evidence to support the use of knowledge sharing to increase innovation within the higher education environment in developing countries, particularly Iraq.

Keywords: top management support, knowledge sharing, innovation, structural equation modelling

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Authors: Sawsan J. Al-Husseini, Talib A. Dosa

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Transformational leadership has been identified as the most important factor affecting innovation and knowledge sharing; it leads to increased goal-directed behavior exhibited by followers and thus to enhanced performance and innovation for the organization. However, there is a lack of models linking transformational leadership, knowledge sharing, and process innovation within higher education (HE) institutions in general within developing countries, particularly in Iraq. This research aims to examine the mediating role of knowledge sharing in the transformational leadership and process innovation relationship. A quantitative approach was taken and 254 usable questionnaires were collected from public HE institutions in Iraq. Structural equation modelling with AMOS 22 was used to analyze the causal relationships among factors. The research found that knowledge sharing plays a pivotal role in the relationship between transformational leadership and process innovation, and that transformational leadership would be ideal in an educational context, promoting knowledge sharing activities and influencing process innovation in the public HE in Iraq. The research has developed some guidelines for researchers as well as leaders and provided evidence to support the use of TL to increase process innovation within HE environment in developing countries, particularly in Iraq.

Keywords: transformational leadership, knowledge sharing, process innovation, structural equation modelling, developing countries

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Authors: Gabriel Sunday Ayayia

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Food waste remains a critical global challenge with significant environmental, economic, and ethical implications. In an era where food waste and food insecurity coexist, innovative technology-driven solutions have emerged, aiming to bridge the gap between surplus food and those in need. Simultaneously, disparities in food access persist, exacerbating issues of hunger and malnutrition. Emerging food-sharing apps offer a promising avenue to mitigate these problems but require further examination within the context of the Ubuntu sharing economy. This study seeks to understand the impact of food-sharing apps, guided by the principles of Ubuntu, on reducing food waste and enhancing food access. The study examines how specific food-sharing apps within the Ubuntu sharing economy could contribute to fostering community resilience and reducing food waste. Ubuntu underscores the idea that we are all responsible for the well-being of our community members. In the context of food waste, this means that individuals and businesses have a collective responsibility to ensure that surplus food is shared rather than wasted. Food-sharing apps align with this principle by facilitating the sharing of excess food with those in need, transforming waste into a communal resource. This research employs a mixed-methods approach of both quantitative analysis and qualitative inquiry. Large-scale surveys will be conducted to assess user behavior, attitudes, and experiences with food-sharing apps, focusing on the frequency of use, motivations, and perceived impacts. Qualitative interviews with app users, community organizers, and stakeholders will explore the Ubuntu-inspired aspects of food-sharing apps and their influence on reducing food waste and improving food access. Quantitative data will be analyzed using statistical techniques, while qualitative data will undergo thematic analysis to identify key patterns and insights. This research addresses a critical gap in the literature by examining the role of food-sharing apps in reducing food waste and enhancing food access, particularly within the Ubuntu sharing economy framework. Findings will offer valuable insights for policymakers, technology developers, and communities seeking to leverage technology to create a more just and sustainable food system.

Keywords: sharing economy, food waste reduction, technology, community- based approach

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Authors: Justie Su-Tzu Juan, Ming-Jheng Li, Ching-Fen Lee, Ruei-Yu Wu

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A secret image sharing scheme is a way to protect images. The main idea is dispersing the secret image into numerous shadow images. A secret image sharing scheme can withstand the impersonal attack and achieve the highly practical property of multiuse  is more practical. Therefore, this paper proposes a verifiable and detectable secret image-sharing scheme called VDGMSISS to solve the impersonal attack and to achieve some properties such as encrypting multi-secret images at one time and multi-use. Moreover, our scheme can also be used for any genera access structure.

Keywords: multi-secret image sharing scheme, verifiable, de-tectable, general access structure

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Authors: Lu Si, Jie Yu, Shasha Li, Jun Ma, Lei Luo, Qingbo Wu, Yongqi Ma, Zhengji Liu

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Instance selection (IS) technique is used to reduce the data size to improve the performance of data mining methods. Recently, to process very large data set, several proposed methods divide the training set into some disjoint subsets and apply IS algorithms independently to each subset. In this paper, we analyze the limitation of these methods and give our viewpoint about how to divide and conquer in IS procedure. Then, based on fast condensed nearest neighbor (FCNN) rule, we propose a large data sets instance selection method with MapReduce framework. Besides ensuring the prediction accuracy and reduction rate, it has two desirable properties: First, it reduces the work load in the aggregation node; Second and most important, it produces the same result with the sequential version, which other parallel methods cannot achieve. We evaluate the performance of FCNN-MR on one small data set and two large data sets. The experimental results show that it is effective and practical.

Keywords: instance selection, data reduction, MapReduce, kNN

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Authors: Delio I. Castaneda, Paul Toulson

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The purpose of this study was to investigate the knowledge sharing effectiveness of two types of knowledge, tacit and explicit, depending on two channels: face to face or digital. Participants were 217 knowledge workers in New Zealand and researchers who attended a knowledge management conference in the United Kingdom. In the study, it was found that digital tools are effective to share explicit knowledge. In addition, digital tools that facilitated dialogue were effective to share tacit knowledge. It was also found that face to face communication was an effective way to share tacit and explicit knowledge. Results of this study contribute to clarify in what cases digital tools are effective to share tacit knowledge. Additionally, even though explicit knowledge can be easily shared using digital tools, this type of knowledge is also possible to be shared through dialogue. Result of this study may support practitioners to redesign programs and activities based on knowledge sharing to make strategies more effective.

Keywords: digital knowledge, explicit knowledge, knowledge sharing, tacit knowledge

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Authors: Minttu Laukkanen, Janne Huiskonen

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This study investigates the sharing economy business models as examples of the sustainable business models. The aim is to contribute to the limited literature on sharing economy in connection with sustainable business models by explaining sharing economy business models value capturing. Specifically, this research answers the following question: How business model choices affect captured sustainable value? A multiple case study approach is applied in this study. Twenty different successful sharing economy business models focusing on consumer business and covering four main areas, accommodation, mobility, food, and consumer goods, are selected for analysis. The secondary data available on companies’ websites, previous research, reports, and other public documents are used. All twenty cases are analyzed through the sharing economy business model framework and sustainable value analysis framework using qualitative data analysis. This study represents general sharing economy business model value attributes and their specifications, i.e. sustainable value propositions for different stakeholders, and further explains the sustainability impacts of different sharing economy business models through captured and uncaptured value. In conclusion, this study represents how business model choices affect sustainable value capturing through eight business model attributes identified in this study. This paper contributes to the research on sustainable business models and sharing economy by examining how business model choices affect captured sustainable value. This study highlights the importance of careful business model and sustainability impacts analyses including the triple bottom line, multiple stakeholders and value captured and uncaptured perspectives as well as sustainability trade-offs. It is not self-evident that sharing economy business models advance sustainability, and business model choices does matter.

Keywords: sharing economy, sustainable business model innovation, sustainable value, value capturing

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Authors: Fan Wei, Tang Yipeng

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Knowledge sharing is of great value to organizational performance and innovation ability. However, the mainstream research has focused largely on the impact of knowledge sharing at the team level on individuals and teams. There is a lack of empirical studies on how employees interact in the exchange of knowledge and its effect on employees’ own creative performance. Based on communication accommodation theory and social exchange theory, this article explores the construction of an employee knowledge interaction mechanism under the moderating of social status and introduces the leader's creativity expectation as a moderating variable to explore its cross-level moderating effect on employee knowledge sharing and their own creative performance. An empirical test was conducted on 36 teaching and research teams in the two primary schools, and the results showed that: (1) Explicit/tacit knowledge of employees is positively correlated with acquisition of explicit/tacit knowledge; (2) Colleagues’ evaluations of employees’ social status play a moderating role between the employees’ explicit/tacit knowledge and the acquisition of explicit/tacit knowledge. (3) The leadership creativity expectation positively regulates the relationship between the employees' explicit knowledge acquisition and creative performance. This research helps to open the "black box" of the interpersonal interaction mechanism of knowledge sharing and also provides an important theoretical basis and practical guidance for organizational managers to effectively stimulate employee knowledge sharing and creative performance.

Keywords: knowledge sharing, knowledge interaction, social status, leadership creativity expectations, creative performance

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Authors: Kyung Min Kang, Peng Mou, Dong Xiang, Yong Yang, Gang Shen

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In this paper, planet pin parallelism error, which is one of manufacturing error of planet carrier, is employed as a main variable to influence planet load sharing factor. This error is categorize two group: (i) pin parallelism error with rotation on the axis perpendicular to the tangent of base circle of gear(x axis rotation in this paper) (ii) pin parallelism error with rotation on the tangent axis of base circle of gear(y axis rotation in this paper). For this study, the planetary gear system in 1.5MW wind turbine is applied and pure torsional rigid body model of this planetary gear is built using Solidworks and MSC.ADAMS. Based on quantified parallelism error and simulation model, dynamics simulation of planetary gear is carried out to obtain dynamic mesh load results with each type of error and load sharing factor is calculated with mesh load results. Load sharing factor formula and the suggestion for planetary reliability design is proposed with the conclusion of this study.

Keywords: planetary gears, planet load sharing, MSC. ADAMS, parallelism error

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Authors: Sitti Nurani Sirajuddin, Muh. Aminawar, Siti Nurlaelah, Amidah Amrawaty

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This study aimed to determine the income of beef cattle breeders from the traditional profit-sharing system named Tesang. This study was conducted in the province of South Sulawesi start from April to July 2014, used quantitative methods and data analysis is of income. The population is all beef cattle breeders who perform for the traditional profit-sharing system (Tesang) in Barru Regency and Bone Regency, province of South Sulawesi. Samples are beef cattle breeders who breeding the cattle with the traditional profit-sharing system (Tesang) in Barru Regency and Bone Regency using breeding system and cattle enlargement system (expense) by fifty breeders. The results showed beef cattle breeder’s income from the profit-sharing system (Tesang) where enlargement system (expense) at6th month maintenance periods higher than the profit-sharing system (Tesang) with using breeding the cattle.

Keywords: income, beef cattle, profit-sharing system, Teseng

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Authors: Abdolreza Noroozi Chakoli

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This study aims to examine the impact of five effective factors on the success of the managers of distance knowledge sharing centers in Iran. To conduct it, 3 centers, including the National Library and Archives of Iran (NLAI), Scientific Information Database Center (SID), and Islamic World Science Citation Center (ISC), were selected to study the effect of five factors 'infrastructure of information technology', 'experienced staff', 'specialized staff', 'employee public relations' and 'the geographical location of the establishment' on the success of the centers. ANOVA test, Scheffe test, and Pearson's correlation test were used to analyze the data. The findings confirmed the effect of all 5 factors on the success of these centers. However, their effects are not the same on each factor. The results show each of these factors is not only individually but also together affect the success of centers for distance knowledge sharing. Moreover, it was demonstrated that there is a correlation between these factors. The results of this study show what factors determine the success of the centers and their efficiency in distance knowledge sharing in Iran.

Keywords: distance knowledge sharing centers, Iran’s knowledge centers, knowledge sharing centers, staff success

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Authors: Nizar Mansour, Chiha Gaha, Emna Gara

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The present research investigates the relationship among HRM practices, knowledge sharing behavior and a certain number of intermediary variables in the context of Tunisian knowledge-intensive firms. Results suggest that five HR practices influence either directly or indirectly the knowledge sharing behavior through enhancing the value of human capital and fostering a learning-oriented organizational climate. Results have strong theoretical implications for both the fields of knowledge management and strategic human resource management. Managerial implications are also derived.

Keywords: human capital, knowledge intensive firms, knowledge sharing, organizational climate, Tunisia

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Authors: Adetoba B. Tiwalola, Adedeji W. Oyediran, Yekini N. Asafe, Akinwole A. Kikelomo

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Mechatronics is synergistic integration of mechanical engineering, with electronics and intelligent computer control in the design and manufacturing of industrial products and processes. Automobile (auto car, motor car or car is a wheeled motor vehicle used for transporting passengers, which also carries its own engine or motor) is a mechatronic system which served as major means of transportation around the world. Virtually all community has a need for automobile. This makes automobile issues as related to diagnostic and repair interesting to all communities. Consequent to the diversification of skill in diagnosing automobile faults and approaches in solving some problems and innovation in automobile industry. It is appropriate to say that repair and diagnostic of automobile will be better enhanced if community has opportunity of sharing knowledge and idea globally. This paper discussed the desirable elements in automobile as mechatronics system and present conceptual framework of virtual community model for knowledge sharing among automobile users.

Keywords: automobile, automobile users, knowledge sharing, mechatronics system, virtual community

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Authors: Matthew P. Mancini, Vincent Ribiere

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Today’s workers face more numerous and complex challenges and are required to be increasingly interdependent and faster learners. Knowledge sharing activities between people have been understood as a significant element affecting organizational innovation performance. While they do have the potential to spark cognitive conflict, disagreement is important from an organizational perspective because it can stimulate the development of new ideas and perhaps pave the way for creativity, innovation, and competitive advantage. How teams cope with the cognitive conflict dimension of knowledge sharing and the associated interpersonal risk is what captures our attention. Specifically, assertive conflict management strategies have a positive influence on knowledge sharing behaviors, and team psychological safety has a positive influence on knowledge sharing intention. This paper focuses on explaining the impact that these factors have on the shaping of an individual’s decision to engage or not in knowledge sharing activities. To accomplish this, we performed an empirical analysis on the results of our questionnaire about knowledge-sharing related conflict management and team psychological safety in pharmaceutical enterprises located in North America, Europe, and Asia. First, univariate analysis is used to characterize behavior regarding conflict management strategy into two groups. Group 1 presents assertive conflict management strategies and group 2 shows unassertive ones. Then, by using SEM methodology, we evaluated the relationships between them and the team psychological safety construct with the knowledge sharing process. The results of the SEM analysis show that assertive conflict management strategies affect the knowledge sharing process the most with a small, but significant effect from team psychological safety. The findings suggest that assertive conflict management strategies are just as important as knowledge sharing intentions for encouraging knowledge sharing behavior. This paper provides clear insights into how employees manage the sharing of their knowledge in the face of conflict and interpersonal risk and the relative importance of these factors in sustaining productive knowledge sharing activities.

Keywords: cognitive dissonance, conflict management, knowledge sharing, organizational behavior, psychological safety

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Authors: Tasneem Alfalah, Salsabeel Alfalah, Jannat Alfalah

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The quality of higher education as a service is fundamental to a country’s development because universities prepare the professionals who will work as managers in companies and manage public and private resources and care for the health and education of new generations. Knowledge sharing involves the interaction of all activities between individuals. Thus, the higher education institutions are aiming to improve and assist their academics in generating new ideas by encouraging them to work as a team, to simplify the exchange of the new knowledge and to further improve the learning process and achieving institutional aims. Moreover, the sources of competitive advantage in universities derive from intellectual capital and innovations in which innovation comes through knowledge sharing. Using quality tools is to define the exact requirements needed to create the concept of knowledge sharing and what are the barriers to achieve this in universities. The purpose of this research is critically evaluating the role of using quality tools to facilitate the concept of knowledge sharing and improve the academic staff level in the Jordanian universities.

Keywords: higher education, knowledge sharing, quality, management tools

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Authors: Chico A. E. Hindarto

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Knowledge management practices are more contextual when they combine with the corporate culture. Each entity has a specific cultural climate that enables knowledge sharing in both functional and individual levels. The interactions between people within organization can be influenced by the culture and how the knowledge is transmitted. On the other hand, these interactions have impacts in culture modification as well. Storytelling is one of the methods in delivering the knowledge throughout the organization. This paper aims to explore the possibility in using a quasi-folklore in the family-based business. Folklore is defined as informal tradition culture that spreading through a word-of-mouth, without knowing the source of the story. In this paper, the quasi-folklore term is used to differentiate it with the original term of folklore. The story is created by somebody in the organization, not like the folklore with unknown source. However, the source is not disclosed, in order to avoid the predicted interest from the story origin. The setting of family-based business is deliberately chosen, since the kinship is considerably strong in this type of entity. Through a thorough literature review that relates to knowledge management, storytelling, and folklore, this paper determines how folklore can be an option for knowledge sharing within the organization.

Keywords: folklore, family business, organizational culture, knowledge management, storytelling

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Authors: Purva Joshi, Rohit Thanki, Omar Hanif

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Unmanned aerial vehicles (UAVs) are becoming increasingly important in various industrial applications and sectors. Nowadays, a multi UAV network is used for specific types of communication (e.g., military) and monitoring purposes. Therefore, it is critical to reducing propagation delay during communication between UAVs, which is essential in a multi UAV network. This paper presents how the propagation delay between the base station (BS) and the UAVs is reduced using a searching algorithm. Furthermore, the iterative-based K-nearest neighbor (k-NN) algorithm and Travelling Salesmen Problem (TSP) algorthm were utilized to optimize the distance between BS and individual UAV to overcome the problem of propagation delay in multi UAV networks. The simulation results show that this proposed method reduced complexity, improved reliability, and reduced propagation delay in multi UAV networks.

Keywords: multi UAV network, optimal distance, propagation delay, K - nearest neighbor, traveling salesmen problem

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Authors: Ashutosh Pujari

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The sharing of natural resources is one of the most important aspects of relations between two neighboring countries, especially when it is a resource that has a presence in both the countries in question. River water is an important resource that is shared between India and its neighbors, namely Pakistan and Bangladesh. India shares Indus, Chenab, and Jhelum rivers with Pakistan, while with Bangladesh, it shares Ganges and Brahmaputra. However, it is interesting to note how does India deals with her sharing of water with these two countries. Although water sharing with both the countries has been dotted by irritants over the years, relations with Bangladesh is undoubtedly better in this respect. Given the common history of the region, this paper analyses the reasons behind this difference in the relationship between India and her neighbors and its implications for the present times. Through critical analysis of literature and the official policy of all the governments involved and the narratives present, this paper tries to present understand how India’s relations with its neighbors are a function of geopolitics, culture, and perceptions on both sides.

Keywords: geopolitics, river water sharing, India-Pakistan relations, India-Bangladesh relations

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Authors: Aqsa Akbar, Sadaf Ehsan, Suheera Khalid Sheikh

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Purpose: In the today’s competitive world, situational dynamism presents complex challenges for organizations to pursue production innovation. Calling for dire need to remain sustainable, the research aims to examine the interlinking mechanism of knowledge sharing and product innovation relationship. For this, a moderated mediation framework is developed in which employees’ creativity and top management support are suggested as viable factors affecting the knowledge sharing and product innovation relationship. Design/Methodology/Approaches A survey-based quantitative research design is selected for data collection via self-administered questionnaires from employees of Pakistan’s E-commerce organizations. Almost, 350 questionnaires were circulated and 285 were received back through a cross-sectional method. Data analysis is performed on SPSS 22.0 and AMOS. Finding The outcomes suggest that knowledge sharing is critical for companies undergoing product innovation. In addition, findings disclose that employees’ creativity partially mediates the relationship between knowledge sharing and product innovation. Furthermore, the moderation impact of top management support also substantiated the proposed hypothesis. Results are discussed in the light of the literature review, followed by the study’s limitations and future directions. Originality/Value The study donates significance towards the development of better understanding of how knowledge sharing is vital for product innovation. It adds on to the literature by highlighting mechanisms responsible for successful product innovation. Moreover, the study offers practical insights to Pakistan’s E-commerce industry and suggests about how to develop capabilities for product innovation.

Keywords: employees creativity, knowledge sharing, product innovation, top management support

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Authors: Nadera Al Hourani

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The study aimed at testing the effect of the organizational factors on reinforcing the knowledge sharing competence in the Jordanian commercial banks. The study population consisted of all the commercial banks working in Jordan according to the statistics of the Jordanian Banks Association by the end of 2010 (n=12). The researchers took a sample of the branch managers (n=240), and constructed a questionnaire to achieve the objective of the study. 235 questionnaires were returned and 16 were discarded due to incompleteness of their data, thus accepting 219 questionnaires. The results of the study indicated statistically significant effect of the organizational factors with their elements: (organizational structure, organizational culture, and human resources policy) in knowledge sharing. The study recommended that the Jordanian commercial banks have to continue attention to the organizational factors through supporting the less important variables and lowest means within the independent variable (organizational factors). The organizational structure came lowest, which urges the management of the commercial banks to adopt a flexible organizational structure capable to reinforce the knowledge sharing competence.

Keywords: banks, Jordan, knowledge, organizational factors, sharing

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Authors: Kamel Belammi, Houria Fatrim

Abstract:

imbalanced data set, a problem often found in real world application, can cause seriously negative effect on classification performance of machine learning algorithms. There have been many attempts at dealing with classification of imbalanced data sets. In medical diagnosis classification, we often face the imbalanced number of data samples between the classes in which there are not enough samples in rare classes. In this paper, we proposed a learning method based on a cost sensitive extension of Least Mean Square (LMS) algorithm that penalizes errors of different samples with different weight and some rules of thumb to determine those weights. After the balancing phase, we applythe different classifiers (support vector machine (SVM), k- nearest neighbor (KNN) and multilayer neuronal networks (MNN)) for balanced data set. We have also compared the obtained results before and after balancing method.

Keywords: multilayer neural networks, k- nearest neighbor, support vector machine, imbalanced medical data, least mean square algorithm, diabetes

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