The design of knowledge management system model for SME (Small and Medium Enterprise) (Phase 2 &amp;#x2014; The pilot implementation in IT SMEs)

Lisanti, Yuliana; Luhukay, Devyano; Veronica, .; Mariani, Vini

doi:10.1109/icoict.2014.6914067

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…The authors conduct a survey data involving 137 Chinese startups to show that in emerging countries where market supporting institutions are deficient, founding teams with strong TMSs are less inclined to acquire external knowledge but are more prone to improvise in response to surprises than founding teams with weak TMSs. Lisanti et al (2014) [44] investigate how the implementation of a knowledge management system in startups and small and medium enterprises operating in Jakarta allows entrepreneurs to grow their business. The authors highlight that selecting the right implementation approach for a KMS (e.g., involving enterprises association, vendors/suppliers and professional to develop the content and encourage startups and small and medium enterprises to participate) has a pivotal role for the success of KM strategies.…”

Section: Area 2 Knowledge Management Systems Adopted By Startupsmentioning

confidence: 99%

Knowledge Management in Startups: Systematic Literature Review and Future Research Agenda

2017

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This paper conducts a systematic literature review on knowledge management (KM) in the context of startups in order to analyze the state of the art, identify research gaps and define a future research agenda. The main findings highlight that, even though there is an increasing number of papers on the topic of KM in startups, several issues are still neglected. Specifically, the paper identifies four main gaps in the body of literature. The first gap deals with the environmental and socio-political factors influencing the adoption of KM in startups. The second gap regards the lack of a comprehensive taxonomy of knowledge management systems (KMSs) that may support the processes of knowledge creation, acquisition, storage, transfer, sharing and application. This second gap allows us to identify a third gap concerning the level of alignment between startup's strategies and technologies adopted. Finally, the fourth gap deals with the issue of the impact of KM on startup's performances with regard to economic, financial, market, technical, technological, organizational, human and relational performance. From these four gaps, six research questions (RQs) have been proposed. These RQs allow us to identify possible areas of analysis to define a future research agenda. Neglecting these issues means underestimating all the possible advantages of KM adoption for a startup to achieve efficiency, effectiveness and scalability goals.

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Section: Area 2 Knowledge Management Systems Adopted By Startupsmentioning

confidence: 99%

Knowledge Management in Startups: Systematic Literature Review and Future Research Agenda

2017

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“…UKM juga membantu dalam pemanfaatan berbagai Sumber Daya Alam yang berpotensial di suatu daerah yang belum diolah secara komersial. Dengan adanya UKM saat ini, dapat membantu dalam kontribusi pada pendapatan daerah maupun pendapatan Negara [2].…”

Section: Pendahuluanunclassified

Penerapan Fuzzy Sugeno Orde Satu dalam Prediksi Pembelian

Fitrianah,

Gunawan,

Sari

2022

FaktorExacta

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<p>Given the rapid advancement of information technology has a great influence in the fields of industry and services. This brings changes in competition between companies, so that company players must always create various techniques to survive. This study aims to assist SMEs in making purchases of the products they sell so that there is no excess stock. This research is calculated using the Fuzzy Sugeno algorithm with a system inference method that can be applied to determine the prediction of the number of purchases of goods. The prediction generated for the test data at week 30 is 60 pcs and this is less when compared to the real data, namely 70 pcs so that it can avoid overstock. Furthermore, the prediction results from the test data at week 21 to week 30 are tested to determine the error rate using the MAPE method, so that the result is 31.67%, and that means that the test is considered reasonable (reasonable).</p>

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“…Strategic asset knowledge promotes the growth of knowledge management as managerial knowledge within an organization. Knowledge management is a crucial topic that provides the company a role (Lisanti and Devyano, 2014). Knowledge management is a propelling force in business organizations.…”

Section: Introductionmentioning

confidence: 99%

Scenario in Managing Employee Performance at PT XYZ

Alfiansyah,

Maarif,

Anggraeni

2023

brcs

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Employee performance improvement is very essential for company organization because it could improve the company's existence in the market competition and also expand their business innovation. However, to improve the employee's performance, there are several factors and variables that could affect it. Therefore, this research aimed to analyze the effect of those variables, which are knowledge management, affective commitment, organization culture, and employee motivation. Furthermore, to analyze those variables, this research used a quantitative method and questionnaire with 52 respondents in the PT XYZ operational area. The data will be processed using SEM PLS analysis, and the result shows that knowledge management, affective commitment, and employee culture have a significant impact on employee performance. The only variable that does not have a significant effect is organizational culture, but it could indirectly affect employee performance through the motivation variable. There are two scenario plans created using the TAIDA approach. Scenario 1 is conducting extensive training for all employees based on the needs of the division in which they operate. Scenario 2 training and education is only available for employees with high potential for cost efficiency.

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The design of knowledge management system model for SME (Small and Medium Enterprise) (Phase 2 — The pilot implementation in IT SMEs)

Cited by 3 publications

References 2 publications

Knowledge Management in Startups: Systematic Literature Review and Future Research Agenda

Knowledge Management in Startups: Systematic Literature Review and Future Research Agenda

Penerapan Fuzzy Sugeno Orde Satu dalam Prediksi Pembelian

Scenario in Managing Employee Performance at PT XYZ

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