Founding team and start‐up competitive advantage

Wu, Lei‐Yu; Wang, Chunju; Tseng, Chun‐Yao; Wu, Ming‐Cheng

doi:10.1108/19348830810915532

Cited by 30 publications

(36 citation statements)

References 59 publications

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“…The outcome of the treatment in the reactor is a result of the activities and interactions of highly diverse microbial communitiesaerobic, facultative anaerobic and anaerobic-from the inoculum and organic material (Sanchez et al 2001;Lopes et al 2004;Bell et al 2005). Poor start-up conditions in biological treatment systems can prolong the period of acclimation and cause ineffective removal of organic material (Wu et al 2001). Therefore, a start-up consisting of both aerobic and facultative anaerobic bacteria is advantageous in the first stages of organic material degradation in an anaerobic reactor.…”

Section: Introductionmentioning

confidence: 99%

Phylogenetic and physiological characterization of organic waste-degrading bacterial communities

Cardinali-Rezende

Moraes

Colturato

et al. 2010

World J Microbiol Biotechnol

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One of the greatest challenges in contemporary society is to reduce and treat household solid waste. The choice of inoculum to be used for start-up in reactors that degrade organic waste is critical to the success of organic waste treatment. In this study, the functional diversity, phylogenetic identification, and biogas production of bacterial communities from six inoculum sources were investigated. We used BIOLOG EcoPlates to evaluate the metabolic abilities of the bacterial communities, followed 16S rRNA gene sequence analysis to determine the phylogenetic affiliation of the bacteria responsible for carbon consumption. We observed great diversity in the physiological profiles. Of the six inocula tested, the sludge from an upflow anaerobic sludge blanket reactor (SRU) contained the most diverse, metabolically versatile microbiota and was characterized by the highest level of biogas production. By contrast, the sludge of the anaerobic lagoon (SAL) showed the worst performance in BIOLOG EcoPlates assays, but it exhibited the most diversity and generated the second largest amount of biogas. The bacterial isolates retrieved from BIOLOG EcoPlates were characterized as aerobic and/or facultative anaerobic, and were mainly Gram-negative. Phylogenetic analysis revealed that the isolates belonged to three major phyla: Proteobacteria, Firmicutes and Actinobacteria, represented by 33 genera. Proteobacteria exhibited the most diversity. The distribution of the bacterial genera differed considerably among the six inocula. Pseudomonas and Bacillus, which are able to degrade a wide range of proteins and carbohydrates, predominated in five of the six inocula. Analysis of the bacterial communities in this study indicates that both SRU and SAL microbiota are candidates for start-up inocula in anaerobic reactors. These start-up inocula must be studied further in order to identify their practical applications in degrading organic waste.

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Section: Introductionmentioning

confidence: 99%

Phylogenetic and physiological characterization of organic waste-degrading bacterial communities

Cardinali-Rezende

Moraes

Colturato

et al. 2010

World J Microbiol Biotechnol

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“…It addresses the significant trend in EE from a classroomcentered education to experiential learning (Cooper et al, 2004;Pittaway and Cope, 2007) in which students are exposed to a large extent to a real-life entrepreneurship context. Many learning methods are group-based (Pittaway and Cope, 2007), which allows not only for team learning (henceforth: TL), but also reflects the realities of new venture teams (Wu et al, 2009). An example of group-based experiential EE is the Lean LaunchPad initiative that applies the principles of customer development (Blank and Dorf, 2012) and Lean Startup (Ries, 2011) to technology-based startup projects.…”

Section: Introductionmentioning

confidence: 99%

Self-regulated learning, team learning and project performance in entrepreneurship education: Learning in a lean startup environment

Harms

2015

Technological Forecasting and Social Change

159

102

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Contemporary entrepreneurship education (EE) is often based around a team-based challenge such as creating a new venture or solving a startup problem. A creative and professional solution to such a challenge requires individual and team efforts. At the level of the individual student, selfregulated learning (SRL) is proposed as an effective way to learn in entrepreneurial projects. At the level of a student team, team learning and psychological safety are hypothesized to contribute to group performance. Yet, there is little evidence to support these claims. I seek to add to the literature by demonstrating the effects of SRL, team learning, and psychological safety on various assessment types in the context of an entrepreneurship class. Data is collected from 194 students in 41 groups. Analysis is performed with hierarchical linear modeling. The results suggest that SRL is positively related to assessments at the individual level. Team learning and psychological safety are positively related to assessments at the group level. The results inform educators, students, and entrepreneurs about effective learning strategies.

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“…A common characteristic of entrepreneurs is their ability to harness available resources in an innovative manner and the ability to transform their businesses and make them grow. In this sense, the entrepreneur can be more associated to the term start-up company, with a high profit potential and rapid growth but also with a higher risk, than a small business (Wu et al 2009). …”

Section: Discussionmentioning

confidence: 97%

Entrepreneurship research in service industries: a literature classification and trend analysis

2011

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In this paper, the influence of entrepreneurship on service management research is examined. Entrepreneurship research occupies a central place in organizational theory and strategic thinking, but its theories and models have little influence on business management. Entrepreneurship research can have a better integration with other areas of management, but there is still certain isolation. This article reviews the emerging areas in entrepreneurship research that provides complementary theoretical framework to service business models. In order to determine the areas in service management research in which entrepreneurship theories can be useful, a classification of the papers published in the last 2 years in the JCR service management journals is carried out. The study concludes that innovation is the most outstanding priority in service management research that can be enriched by entrepreneurial theories. The entrepreneurial approach to networks and institutional environment are the theoretical frameworks that better suit to introduce entrepreneurship variables as antecedents in business innovation models.

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Founding team and start‐up competitive advantage

Cited by 30 publications

References 59 publications

Phylogenetic and physiological characterization of organic waste-degrading bacterial communities

Phylogenetic and physiological characterization of organic waste-degrading bacterial communities

Self-regulated learning, team learning and project performance in entrepreneurship education: Learning in a lean startup environment

Entrepreneurship research in service industries: a literature classification and trend analysis

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