The influence of the knowledge-sharing process on technology business incubator performance in Saudi Arabia

In the competitive global market, technology business incubators are considered to be the backbone of the economic development of a country. Technology business incubators are involved in the creation of employment opportunities, boosting the local economy, and commercializing innovative technologies. This research-in-progress will propose a framework for technology business incubators to examine the impact of the knowledge-sharing practices of incubatees on technology business incubator performance both in general and in Saudi Arabia in particular. The key findings of this study will allow technology business incubators to better formulate the incubation process

Factors impacting technology business incubator performance

© 2019 World Scientific Publishing Europe Ltd. Technology business incubators support economic growth by developing innovative technologies. However, assessing the performance of technology business incubators in Saudi Arabia has not been well recognised. This study provides a conceptual framework for assessing technology business incubators based on knowledge sharing practices and sharing, diffusion of innovation and individual creativity. Partial least squares structural equation modelling, such as (PLS-SEM) path modelling was used to test the model. The results provide empirical insights about the performance of technology business incubators. The findings show knowledge donation and collection has positive effects on technology business incubator. The importance-performance map analysis shows additional findings and conclusions for managerial actions

Knowledge-Sharing in Technology Business Incubator.

Given the economic growth challenges facing countries all around the world, the importance of the initiative of technology business incubators in developing the economic growth of a country has been recognized. Technology business incubators are included in many of the processes that support economic growth, such as job creation and developing innovative technologies. This research paper with data result showing an examined conceptual model for technology business incubators. The model examined how the knowledge-sharing practices impact technology business incubator performance in Saudi Arabia. The outcome of this research is helpful; it will make better understanding for technology business incubators to provide better articulate in the incubation functions

Applying the Fuzzy Analytic Network Process to Establish the Relative Importance of Knowledge Sharing Barriers

Knowledge sharing (KS) is the key to creativity and innovation in any organizations. Overcoming the KS barriers has created new challenges for designing in dynamic and complex environment. There may be interrelations and interdependences among the barriers. The purpose of this paper is to present a review of literature of KS barriers and impute the relative importance of them through the fuzzy analytic network process that is a generalization of the analytical hierarchy process (AHP). It helps to prioritize the barriers to find ways to remove them to facilitate KS. The study begins with a brief description of KS barriers and the most critical ones. The FANP and its role in identifying the relative importance of KS barriers are explained. The paper, then, proposes the model for research and expected outcomes. The study suggests that the use of the FANP is appropriate to impute the relative importance of KS barriers which are intertwined and interdependent. Implications and future research are also propose

Factors Affecting the Saudi Arabian Higher Education Creative Environment

Creativity is an essential pillar for individuals in higher education institutions (HEIs). The promotion of a research culture in universities necessitates an environment supporting new ideas and innovation by encouraging their staff to be more creative. The Saudi government is trying to improve its higher education system by encouraging creative environments to support socioeconomic development and achieve a transformation from an oil-based to a knowledge-based economy. The purpose of this study is to identify the factors that contribute to creativity and innovation among academic staff in Saudi Arabian HEIs. Therefore, this research-in-progress paper discusses how a specific set of organizational, individual and technological factors can support the achievement of a creative environment. Accordingly, a conceptual framework is proposed that lay the foundation for a creative environment in Saudi Arabian HEIs, with the ultimate aim of building an innovative environment in Saudi Arabian HEIs

Exploring How Environmental and Personal Factors Influence Knowledge Sharing Behaviour Leads to Innovative Work Behaviour in Vietnamese Higher Education Institutions

The Vietnamese Government has been struggling to build a higher education system that is innovative to the requests of national knowledge-based development. It is essential to explore knowledge sharing behaviour (KSB) from environmental and individual perspectives. It can help to contribute to innovative work behaviour (IWB) towards knowledge-based development initiatives, in particular regarding the phenomenon of knowledge sharing (KS) in Vietnamese higher education institutions (HEIs). The aim of this research-in-progress is to propose a research model based on social cognitive theory (SCT) that comprises environmental factors (subjective norms, trust), personal factors (knowledge self-efficacy, rewards, reciprocity), KSB and IWB. We advance to conduct a survey to examine our proposed conceptual model. It is expected that this research will contribute to the deeper understanding of the effects of personal and environmental factors and KSB on IBW within Vietnamese HEIs

Exploring how environmental and personal factors influence knowledge sharing behavior leads to innovative work behavior

© Springer International Publishing AG, part of Springer Nature 2018. Many governments have been struggling to build a higher education system that is innovative to the requests of national knowledge-based development. It is essential to explore knowledge sharing behavior (KSB) from environmental and individual perspectives. It can help to contribute to innovative work behavior (IWB) towards knowledge-based development initiatives, in particular regarding the phenomenon of knowledge sharing (KS) in higher education institutions (HEIs). The aim of this research is to propose a research model based on social cognitive theory (SCT) that comprises environmental factors (subjective norms, trust), personal factors (knowledge self-efficacy, enjoyment in helping others, organizational rewards, reciprocal benefits, and psychological ownership of knowledge), KSB and IWB. We advance to conduct a survey to examine our proposed conceptual model. It is expected that this research will contribute to deeper understanding of the effects of personal and environmental factors and KSB on IBW within HEIs. Implications and future work in this area are also proposed

Individual creativity towards technology business incubator performance

© 2018 Association for Information Systems. All rights reserved. Technology business Incubators in Saudi Arabia are working to bring innovative businesses promising to contribute in the nation's technological growth. The Saudi incubators are for technology innovations, which are mainly established to serve as knowledge-based programs to produce opportunities that lead to transform the country to become a knowledge-based society and consequently contribute as knowledge based economy. This research develops a conceptual model for technology business incubators examined the influence of individual creativity of incubatees on technology business incubator performance in Saudi Arabia in particular. The significant outcomes of this research will benefit the technology business incubators in order to be capable to improve the efficiency of incubation performance

Toward green computing in wireless sensor networks: prediction-oriented distributed clustering for non-uniform node distribution

© 2020, The Author(s). Recently, researchers and practitioners in wireless sensor networks (WSNs) are focusing on energy-oriented communication and computing considering next-generation smaller and tiny wireless devices. The tiny sensor-enabled devices will be used for the purpose of sensing, computing, and wireless communication. The hundreds/thousands of WSNs sensors are used to monitor specific activities and report events via wireless communication. The tiny sensor-enabled devices are powered by smaller batteries to work independently in distributed environments resulting in limited maximum lifetime of the network constituted by these devices. Considering the non-uniform distribution of sensor-enabled devices in the next-generation mobility centric WSNs environments, energy consumption is imbalanced among the different sensors in the overall network environments. Toward this end, in this paper, a cluster-oriented routing protocol termed as prediction-oriented distributed clustering (PODC) mechanism is proposed for WSNs focusing on non-uniform sensor distribution in the network. A network model is presented, while categorizing PODC mechanism in two activities including setting cluster of nodes and the activity in the steady state. Further cluster set up activity is described while categorizing in four subcategories. The proposed protocol is compared with individual sensor energy awareness and distributed networking mode of clustering (EADC) and scheduled sensor activity-based individual sensor energy awareness and distributed networking mode of clustering (SA-ADC). The metrics including the overall lifetime of the network and nodes individual energy consumption in realistic next-generation WSNs environments are considered in the experimental evaluation. The results attest the reduced energy consumption centric benefits of the proposed framework PODC as compared to the literature. Therefore, the framework will be more applicable for the smart product development in the next-generation WSNs environments