Factors Impacting Technology Business Incubator Performance

Binsawad, Muhammad; Sohaib, Osama; Hawryszkiewycz, Igor

doi:10.1142/s1363919619500075

Cited by 41 publications

(39 citation statements)

References 69 publications

(105 reference statements)

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“…Grapeggia et al (2011) state that incubator governance, marketing assistance and infrastructure are important for increasing business incubator performance in Brazil. Binsawad et al (2019) state that the performance of technology business incubators is influenced by sharing knowledge and incubator governance, while Zibarzani and Rozan (2017) state that mentoring networking and sharing knowledge greatly influences business incubator performance in supporting start-ups. Xie et al (2011) explain that incubation funding can improve incubator performance but not directly influence the tenants' income.…”

Section: Resultsmentioning

confidence: 99%

“…(3) internal business process perspective; and (4) learning and growth perspective. Learning is a key indicator for performance, as stated by Messeghem et al (2018), Mian (1997) and Binsawad et al (2019). Aerts et al (2007) developed screening criteria, or entry criteria.…”

Section: Resultsmentioning

confidence: 99%

“…Mian (1997) advises that performance evaluations also support program development and sustainability, tenant's firm survival and growth, implication to the University's mission sponsor and the environmental impacts should be noticed into account in order to measure incubator performance. The findings on technology business incubator performance can be observed by studying the incubation process, including the knowledgesharing process, diffusion of innovation and individual creativity, which is vital for the developmental process of new ventures (Binsawad et al, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Performance Factors for Successful Business Incubators in Indonesian Public Universities

Gozali¹,

Masrom²,

Zagloel³

et al. 2020

IJTech

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Measuring the performance of business processes is already a main concern for both faculty and enterprise players, since organizations are motivated to reach the productivity stage. Employing a performance achievement framework for the relationship between business incubator success factors will guarantee connection with commercial schemes, which support a high level of performance indicators in successful business incubator models. This research employs a quantitative approach, with the data analyzed using the IBM SPSS version 23 and Smart PLS version 3 statistical software packages. Employing a sample of 95 incubator managers from 19 universities which geographically located in Indonesia, it is shown that the image of business incubator factors has a positive effect on incubator performance. The study investigates the relationship between incubator performance and business incubator success factors in Indonesia. It was found that IT, as part of the business incubators' facets/abilities, partially supports their performance; that the entry criteria directly support the performance of the incubators; that mentoring networks also support the performance, with good infrastructure systems as a moderating factor; that funding supports the performance of business incubators, also with good infrastructure systems as a moderating factor; and that university regulations and government support and protection enhance the performance of business incubators, with credits and rewards as a moderating factor. In addition,

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Performance Factors for Successful Business Incubators in Indonesian Public Universities

Gozali¹,

Masrom²,

Zagloel³

et al. 2020

IJTech

View full text Add to dashboard Cite

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“…WhatsApp feature permits users to look at other users' profiles, the introduction of other new features should be the main concern in an endeavor to constant enhancement and progress of these sites. Business firms can boost their economy relying on their innovative abilities [118]. This research also explores that e-mavenism is a noteworthy predictor of IU SNSs.…”

Section: B Implications For Information System Practitionersmentioning

confidence: 99%

User Acceptance of HUMP-Model: The Role of E-Mavenism and Polychronicity

Awais

Samin²,

Gulzar

et al. 2019

IEEE Access

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Social network site usage has grown to be a worldwide trend. These sites facilitate online contact between individuals having similar concerns. The speedy and extensive usage of such sites has affirmed their perception and positioning in the minds of users. This research adds to our consideration by empirically exploring determinants affecting users' acceptance of such sites. A HUMP model has been introduced to evaluate the effect of hedonic (perceived playfulness), utilitarian (perceived usefulness) e-mavenism, polychronicity, and perceived ease of use on the intention to use and thus actual use of social networking sites. The causal modeling technique is used to study the outline of associations amid the projected model constructs and to analytically evaluate the research propositions. All the conjectured factors possess a considerable unswerving sway on the intention to use, with e-mavenism and polychronicity, the robust indicators.

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“…Ahora bien, a fin de mejorar el rendimiento de las incubadoras de base tecnológica, los autores Binsawad, Sohaib & Hawryszkiewycz (2019) concuerdan que trabajar en convenio con universidades, atribuye beneficios como el acceso a mayor conocimiento en áreas técnicas y de gestión, así se reduce la probabilidad de fracaso, pero a la vez se extiende el tiempo de maduración de las empresas nacientes.…”

Section: Incubadoras De Empresas De Base Tecnológica (Iebt)unclassified

Emprendimiento de base tecnológica: un análisis basado en economías innovadoras y eficientes

Pilatuña¹,

Curay²,

Larenas³

2020

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El presente trabajo analiza un conjunto de condiciones del entorno que influyen en el desarrollo de Emprendimientos de Base Tecnológica (EBT) en economías basadas en innovación y en economías basadas en eficiencia. Se realiza una revisión de la literatura existente respecto a este fenómeno y se utilizan los datos del Global Entrepreneurship Monitor (GEM). Se lleva a cabo análisis factorial exploratorio con la aplicación del método de Rotación Ortogonal Varimax. El estudio concluye que algunos de los factores identificados resultan influyentes en determinados entornos económicos para la consolidación de los EBT’s, particularmente en las economías innovadoras. Palabras clave: Emprendimiento, base tecnológica, eficientes, innovadoras. URL: http://revistas.uta.edu.ec/erevista/index.php/bcoyu/article/view/883

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Factors Impacting Technology Business Incubator Performance

Cited by 41 publications

References 69 publications

Performance Factors for Successful Business Incubators in Indonesian Public Universities

Performance Factors for Successful Business Incubators in Indonesian Public Universities

User Acceptance of HUMP-Model: The Role of E-Mavenism and Polychronicity

Emprendimiento de base tecnológica: un análisis basado en economías innovadoras y eficientes

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