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Learning from past earthquake disasters: The need for knowledge management system to enhance infrastructure resilience in Indonesia
یادگیری از بلایای زلزله گذشته: نیاز به سیستم مدیریت دانش برای افزایش انعطاف پذیری زیرساخت در اندونزی-2021 Indonesia lies at the region where Indo-Australian, Eurasian, Pacific and Philippines global tectonic plates meet.
In the last 30 years, Indonesia has experienced catastrophic earthquake disasters, causing thousands of loss of life
and major infrastructure damage. Since the 2004 devastating Sumatra-Andaman tsunamigenic earthquake,
knowledge derived from various disaster experiences regarding infrastructure resilience have been improving.
Yet disasters such as the recent 2018 Lombok and Palu earthquakes remain devastating. An investigation on how
knowledge on past earthquakes have been managed and utilized to promote better resilient infrastructure in
Indonesia is conducted. Lessons are extracted from 5 significant earthquakes causing major damage through
compilation and analysis of scientific publications and reports on field surveys, works and existing policies.
Factors that keep contributing to the failure of buildings and infrastructure include lack of understanding of local
hazard situation, incompliance to seismic resistant codes and standards for buildings and infrastructure, prob-
lematic soil condition, and collateral hazards such as tsunami, liquefaction, ground subsidence, landslides, rock
avalanche which are adding to the complexity of the seismic hazard. The scarcity of information and knowledge
on the performance on resilience of infrastructure during earthquakes in Indonesia limits knowledge-based de-
cision making in the planning, development and operation of resilient infrastructure. This study calls for the
development of a knowledge management system for earthquake resilient infrastructure in Indonesia, to save
more lives and to reduce economic disruptions due to infrastructure damages, and thus contribute to the sus-
tainable development goals achievement.
keywords: زیرساخت های انعطاف پذیر | سیستم مدیریت دانش | زمين لرزه | کاهش خطر | Resilient infrastructure | Knowledge management system | Earthquake | Risk reduction |
مقاله انگلیسی |
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A study related to product service systems (PSS), SERVQUAL and knowledge management system (KMS) – A review
مطالعه مربوط به سیستم های خدمات محصول (PSS)، SERVQUAL و سیستم مدیریت دانش (KMS) - یک مرور-2021 PSS is a growing field of research in industry practice in today’s global economy. It is a new trend that has
an impact on both the production and consumption of resources. PSS aims at a more profitable and conservational usage of products. While in the past providing services was one of the strategies attained to
differentiate in competition, however today providing a product together with many services has become
a standard practice in the product industry. To remain competitive, manufacturers are forced not only to
produce a competitive product however rather a superior PSS.PSS are outlined as life cycle bound combinations of a product and completely different services, having sophisticated networks, that comprise a
manufacturer as a provider and also as a repair partner. To enable the applicability of a PSS in an industry,
it is essential to evaluate the system using metrics – the SERVQUAL MODEL, which defines ‘‘The quality as
the difference between the customers’ expectations & perceptions concerning the services delivered to
them” [1]. It is catered to measure quality by capturing the expectancy – confirmation paradigm which
suggests the consumer’s perceived quality of how well a given service delivery meets their expectations
of that delivery. So this SERVQUAL metric is used to determine the level of quality in the industry and the
five dimensions are such as tangibility, reliability, responsiveness, assurance & empathy are measured
using a five-point Likert scale. Since, organizations are more and more moving towards knowledgebased strategies, developing and managing knowledge is essential for improving the organizational performance as well as for enhancing decision-making process. This paper presents a review on the use of a
knowledge management practice in PSS for industries to store, share and utilize knowledge for enhancing
creativity & innovation in their service systems. An efficient review of the literature has been conducted
in the academic and scientific databases taking into account the date of publication of the articles titled
PSS, SERVQUAL and KMS from 2009 to 2020. To achieve the review process, all selected articles have been
categorized by publication year, the objectives of the research, the methodology used, the results, conclusion and future scope of their research are presented on a broader scale [16]. Therefore, this paper presents an overview of the literature on PSS and the evaluation methods using SERVQUAL MODEL and the
role of knowledge management in PSS and the appropriate ideas for conducting research in the future.
Copyright 2021 Elsevier Ltd. All rights reserved.
keywords: سیستم خدمات محصول | مدل SERVQUAL | سیستم مدیریت دانش | تصمیم گیری | Product service system | SERVQUAL MODEL | Knowledge management system | Decision-making |
مقاله انگلیسی |
3 |
The role of digital innovation in knowledge management systems: A systematic literature review
نقش نوآوری دیجیتال در سیستم های مدیریت دانش: مرور ادبیات سیستماتیک-2021 This article investigates the literary corpus on digital innovation in knowledge management systems (KMS) to
understand its role in business governance.
The study introduces a broad survey of the scientific literature on this topic to understand how digital
innovation promotes new business models through the optimization of new knowledge.
We carried out a bibliometric analysis on a database, including 46 articles published in the last three decades
(1990–2020). All the articles were written in English.
The results show that research published on the topic reveals interesting implications for business models and
business performance. These findings especially highlight the links between innovation and sustainability,
revealing that digital transformation tools contribute over the long-term to the value creation process. This
research contributes to the existing literature analyzing the KMS topic by considering it from the digital inno-
vation processes perspective, pointing out the need to implement new knowledge creation and to share measures
which support global and inclusive growth. keywords: تحول دیجیتال (DT) | مدیریت دانش (کیلومتر) | مدل کسب و کار (BM) | عملکرد پایدار (SP) | Digital Transformation (DT) | Knowledge Management (KM) | Business Model (BM) | Sustainable Performance (SP) |
مقاله انگلیسی |
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Understanding knowledge hiding in business organizations: A bibliometric analysis of research trends, 1988–2020
درک دانش مخفی در سازمان های کسب و کار: تجزیه و تحلیل کتابشناختی از روند تحقیق، 1988-2020-2021 This paper investigates how knowledge hiding (KH) contributes to individuals, groups, and the business pro-
cesses of organizations, with regards to improving employee performance, strategic performance, and the or-
ganization’s overall knowledge management system (KMS), as well as the consequences and costs of KH in
organizations. 117 English language research articles produced between 1988 and 2020 regarding KH are
analyzed, and insights provided into science mapping and performance analysis of KH studies, by drawing ev-
idence from publication activities, prominent themes, citation trends, and collaborations amongst contributors.
The findings reveal that KH research has mainly focused on KH behavior, knowledge sharing (KS), and the KMS.
Firms with KH practices are responsible for challenging employee creativity, motivation, and workplace envi-
ronment. This study will help business managers and leaders hone cooperative behavior to achieve an innovative
environment and desired goals. Knowledge hiding also has positive implications, where leaders may have to hide
confidential information from external elements or internal subordinates to protect the enterprise’s sovereignty
and integrity. keywords: شیوه های دانش | عملکرد استراتژیک | هيئت مدیره | سیستم مدیریت دانش | به اشتراک گذاری دانش | کارایی فرآیند | Knowledge practices | Strategic performance | Board of directors | Knowledge management system | Knowledge sharing | Process efficiency |
مقاله انگلیسی |
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Pathways to individual performance: Examining the interplay between knowledge bases and repository kms use
راه های عملکرد فردی: بررسی تعامل بین پایگاه های دانش و استفاده از مخزن KMS-2021 The aims of this study are to gain further insight into the contingent performance effects of repository knowledge
management systems (KMS) use. While prior research has laid the foundations, a nuanced understanding of the
interplay between the individual’s personal and social knowledge bases and KMS usage behaviors is missing.
Drawing from prior information systems literature, we identify two components of KMS use, usage frequency and
usage intensity. We examine the influence of knowledge bases on individual performance, and the moderating
influence of the usage behaviors. We test the hypothesized research model on usage and performance data from
18,219 real estate agents. We find support for different pathways to individual performance based on configu-
rations of knowledge bases and usage behavior. Overall, the study provides an integrated view of the interplay
between the three constituents of technology-based learning – cognition, behavior, and performance. keywords: مدیریت دانش | سیستم های مدیریت دانش | استفاده از آن | مخازن دانش | فرکانس استفاده | شدت استفاده | تجربه حرفه ای | عضویت تیمی | Knowledge management | Knowledge management systems | It use | Knowledge repositories | Usage frequency | Usage intensity | Professional experience | Team membershipintroduction |
مقاله انگلیسی |
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Incentive design and gamification for knowledge management
طراحی و بازی انگیزه برای مدیریت دانش-2020 Knowledge is one of the most important resources for businesses. Knowledge management systems (KMS) are implemented to guarantee an adequate handling of this resource. While innovations in Knowledge Management often focus on technical approaches or structural aspects of knowledge storing, less attention is paid to the different aspects of human motivation and the individual willingness to knowledge sharing. The employee as sharer and receiver of knowledge, however, has to be motivated properly in order to ensure a high content quality within the KMS and appropriate handling of knowledge. Gamification has proven to be a feasible approach to increase employee motivation. This paper, therefore, analyses the effects of game mechanics on motivation and knowledge sharing behavior. In addition, advantages and risks of implementing game components in KMS are illustrated. Keywords: Gamification | Incentive system | Knowledge management | Knowledge sharing | Motivation |
مقاله انگلیسی |
7 |
Artificial intelligence and business models in the sustainable development goals perspective: A systematic literature review
هوش مصنوعی و مدل های تجاری در چشم انداز اهداف توسعه پایدار: یک مرور ادبیات سیستماتیک-2020 This paper investigates the literary corpus on the role of Artificial Intelligence (AI) in the construction of sustainable business models (SBMs). It provides a quantitative overview of the academic literature that constitutes the field. The paper discusses the relationships between AI and rapid developments in machine learning and sustainable development (SD). Specifically, the aim is to understand whether this branch of computer science can influence production and consumption patterns to achieve sustainable resource management according to Sustainable Development Goals (SDGs) outlined in the UN 2030 Agenda. Moreover, the paper aims to highlight the role of Knowledge Management Systems (KMS) in the cultural drift toward the spread of AI for SBMs. Despite the importance of the topic, there is no comprehensive review of the AI and SBM literature in light of SDGs. Based on a database containing 73 publications in English with publication dates from 1990 to 2019, a bibliometric analysis is conducted. The findings show that the innovation challenge involves ethical, social, economic, and legal aspects. Thus, considering that the development potential of AI is linked to the UN 2030 Agenda for SD, especially to SDG#12, our results also outline the framework of the existing literature on AI and SDGs, especially SDG#12, including AI’s association with the cultural drift (CD) in the SBMs. The paper highlights the key contributions, which are: i) a comprehensive review of the key underlying relationship between AI and SBMs, offering a holistic view as needed, ii) identifying a research gap regarding KMS through AI, and iii) the implications of AI concerning SDG#12. Academic and managerial implications are also discussed regarding KMS in the SBMs, where the AI can represent the vehicle to meet the SDGs allowing for the identification of the cultural change required by enterprises to achieve sustainable goals. Thus, business companies, academic re- search practitioners, and state policy should focus on the further development of the use of AI in SBMs. Keywords: Artificial Intelligence (AI) | Machine learning sustainability | Cultural drift | Sustainable business models | Knowledge Management System (KMS) |
مقاله انگلیسی |
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A process-based automotive troubleshooting service and knowledge management system in collaborative environment
یک سرویس عیب یابی خودرو مبتنی بر فرآیند و سیستم مدیریت دانش در یک محیط مشترک-2020 In automotive industry, manufacturers expand their duties in the products service life by means of providing the car troubleshooting services to end users. Moreover, product service system (PSS) has turned into a significant study issue in the recent decade, it focuses on stressing the specific requirements in the new service model. Hence, generation of a PSS-oriented automotive troubleshooting mode not only enhances the service quality, but promotes thoroughly the values of business and its products. Besides, under the support of network communication mechanism, it becomes easily to manage the knowledge and process of automotive troubleshooting in collaborative environment. This study explores the different relationships among car enterprises, focusing on the decision-making processes as well as communication and management of knowledge in automotive trouble- shooting. This study also investigates the potential utilization of improved content management architectures in the automotive engineering field that is controlled by conventional engineering information modes. A frame- work of collaborative troubleshooting procedure is presented, constructed and evaluated by using an instance automobile problem, which reveals the meaningful efficiency could be reached and the module of content management has several benefits than the conventional engineering information modes in conducting the in- formation of automotive inspection, maintenance, repairing and service involving unorganized and dynamic knowledge. Keywords: Automotive troubleshooting | Product service architecture | Collaboration of service | Process and knowledge management |
مقاله انگلیسی |
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Track circuit fault prediction method based on grey theory and expert system
روش پیش بینی خطای مدار بر اساس تئوری خاکستری و سیستم خبره-2019 Due to the lack of accurate state judgment and health analysis of equipment operation, track circuit
implements the repair and maintenance strategy of fault repair or planned repair. For this reason, a novel
track circuit fault prediction method is proposed based on grey theory and expert system. In the proposed
method, the feature of grey prediction model is to establish dynamic differential equation and then predict
its own development according to its own data. The dynamic prediction model with equal dimension
is applied to improve original grey model. Based on the gray models, the expert system is used to simulate
human experts to solve the problems in a professional field. It contains man-computer interface,
inference engine, knowledge library, knowledge management system, interpretation module and
dynamic database. The measurement data show this system can effectively predict several typical faults
of HVAP track circuit, and prove the proposed system structure is effective. Such condition-based fault
prognostic maintenance mechanism provides an effective solution to improve equipment maintenance
efficiency, reduce maintenance cost and reduce equipment fault rate. Keywords: Track circuit | Fault prediction | Grey theory | Expert system |
مقاله انگلیسی |
10 |
Frustration-driven process improvement
بهبود فرآیند ناامید کننده-2018 When employees are empowered to continuously record their
employment-related frustrations–—doing so on accessible, visually prominent
media–—process improvement becomes upgraded to operate in a truly continuous
mode. Frustrations are a superior target of process improvement in that they get at
deep-seated concerns of people who have first-order process awareness and are most
directly impacted by process failings. Recording frustrations not only provides a
sound basis for pressing on to solutions, but it is also cathartic. The act of recording
frustrations prominently on company-sanctioned media provides a positive outlet for
the frustrations themselves.
KEYWORDS : Continuous process improvement; Employee frustration recording ; Knowledge management system ; Organizational culture ; Whistleblower protection |
مقاله انگلیسی |