scholarly journals Academic Assets, Life-Cycle, and Entrepreneurship: A Longitudinal Study of Estonian Academic Workers

2021 ◽  
Vol 7 (2) ◽  
pp. 113
Author(s):  
Maksim Mõttus ◽  
Oliver Lukason
Keyword(s):  
Life Cycle ◽  
Academic Entrepreneurship ◽  
Academic Career ◽  
Academic Staff ◽  
Academic Discipline ◽  
Academic Life ◽  
Firm Creation ◽  
Independent Variables ◽  
Life Cycle Stages ◽  
Practical Implications

This study aimed to find out how academic assets are interconnected with firm creation by academic staff at different academic life-cycle stages. The applied theoretical setting integrated resource-based and life-cycle explanations of academic entrepreneurship. A longitudinal whole population dataset of Estonian academic workers was applied, with a dependent variable reflecting firm creation, and independent variables representing different academic assets. The logistic regression results indicated the varying importance of different academic assets at different academic career stages, while divergence also exists with respect to academic discipline. The results enable postulating several theoretical propositions, accompanied by practical implications for technology transfer at universities.

Firm’s Life Cycle Spurs the Dividend Payments: A Fallacy or an Actuality?

Paradigm ◽  
2019 ◽  
Vol 23 (1) ◽  
pp. 36-52
Author(s):  
Jasminder Kaur
Keyword(s):  
Life Cycle ◽  
Predictive Power ◽  
Maturity Stage ◽  
Sample Period ◽  
Dividend Payment ◽  
Independent Variables ◽  
Decline Phase ◽  
Dividend Payments ◽  
Life Cycle Stages ◽  
Firm’S Life Cycle

The study aims at testing the predictive power of life cycle proxies during the five life cycle stages in performing the accurate prognosis of dividend decisions of Indian companies. S&P BSE 500 companies have been selected for the study, and the sample period of 11 years commencing from 1 January 2005 to 31 December 2015 is taken. Life cycle of the firm is classified into five stages—introduction, growth, maturity, shake-out and decline phase. Cash flow patterns form the premise of such classification. All the four independent variables—size of company, proportion of cumulative retained profits as of total equity, total equity to total asset ratio and return on total assets (ROA)—turn out to be significant contributors in professing the occurrence of dividend payment event at the maturity stage of the firms’ life cycle.

The development dynamics of business networks

2018 ◽  
Vol 13 (1) ◽  
pp. 27-44 ◽  
Author(s):  
Douglas Wegner ◽  
Susana Costa e Silva ◽  
Greice De Rossi
Keyword(s):  
Life Cycle ◽  
Development Process ◽  
Public Support ◽  
Business Networks ◽  
Business Network ◽  
Content Type ◽  
Life Cycle Stages ◽  
Nuanced Understanding ◽  
Practical Implications ◽  
Current Stage

Purpose The purpose of this paper is to compare the development dynamics of two business networks initially created to promote the internationalization of its members. Wines of Brasil – a Brazilian wineries network – was established in 2002 and remains active, while Vitrocristal (VtC) – a Portuguese network of glass producers – was established in 1994 and is already closed. Design/methodology/approach Data were collected from 14 interviews, with network managers and representatives of companies with different sizes and participation times. Information obtained was compared with the life cycle model of Wegner et al. (2015) and enabled the authors to understand the dynamic development of each network and its current stage in the life cycle. Findings The results allowed the authors to describe the development pattern of both business networks, showing that the Brazilian network is in the consolidation stage while the Portuguese one finished its activities in 2007 after a period of financial constraints due to the end of governmental support. Practical implications The comparison of the two cases shows that the experience of the Portuguese business network may be useful for networks in emerging markets, as it displays several difficulties that the management of such networks may face during their life cycle. Originality/value This study provides a more comprehensive and nuanced understanding of the dynamics of change in business networks. The cases confirm the life cycle stages proposed by Wegner et al. (2015) and shed more light on the development process of business networks, by describing how exogenous variables such as public support may affect cooperation.

The life expectancy of tech start-ups in India: what attributes impact tech start-ups' failures?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ganesaraman Kalyanasundaram ◽  
Sitaram Ramachandrula ◽  
Bala Subrahmanya Mungila Hillemane
Keyword(s):  
Life Cycle ◽  
Life Expectancy ◽  
Emerging Economy ◽  
Primary Data ◽  
Content Type ◽  
Considerable Uncertainty ◽  
Life Cycle Stages ◽  
Start Up ◽  
Start Ups ◽  
Practical Implications

PurposeEntrepreneurs nurture their ambitions of founding tech start-ups that facilitate significant innovations despite vulnerability and considerable uncertainty by resolutely addressing multiple challenges to avert failures. The paper aims to answer how soon do tech start-ups fail, given their lifecycle comprising multiple stages of formation and what attributes hasten failure of tech start-ups over their lifecycle? These questions have not been answered adequately, particularly in the context of India's emerging economy, where an aspiring start-up ecosystem is striving to flourish at an exceptional rate.Design/methodology/approachThe study addressed two specific objectives: (1) Does life expectancy vary between life-cycle stages? and (2) What attributes impact tech start-ups' failures? Primary data were gathered from 151 cofounders (101 who have experienced failure and 50 who are successful and continuing their operations) from India's 6 leading start-up hubs. The survival analysis techniques were used, including non-parametric Kaplan–Meier estimator, to study the first objective and semi-parametric Cox proportional hazard regression to explore the second objective.FindingsThe survival probability log-rank statistics ascertain that life expectancy is different across the life-cycle stages, namely emergence, stability and growth. The hazard ratios (HRs) throw light on attributes like stage, revenue, conflict with investors, number of current start-ups, cofounder experience, level of confidence (LoC) and educational qualifications as the key attributes that influence start-up life expectancy over its lifecycle.Practical implicationsThe empirical study on tech start-ups' life expectancy has practical implications for entrepreneurs and investors besides guiding the ecosystem's policymakers. First, the study helps entrepreneurs plan for resources and be aware of their start-up journey's potential pitfalls. Second, the study helps investors to establish the engagement framework and plan their future funding strategy. Third, the study helps policymakers to design and establish progressive support mechanisms that can prevent a start-up's failure.Originality/valueFirst and foremost, start-up life expectancy study by life-cycle stages provide detailed insights on start-ups' failures. The theoretical framework defined is replicable, scalable and distinctly measurable for studying the start-up failure phenomenon. The life expectancy of tech start-ups by life-cycle stage is a critical empirical contribution. Next, the attributes impacting start-up life expectancy are identified in the context of an emerging economy.

FINANCING THE DEVELOPMENT OF MUNICIPAL ENTITIES AT DIFFERENT LIFE CYCLE STAGES: PUBLIC AND PRIVATE RESOURCES

2019 ◽  
Vol 0 (3) ◽  
pp. 53-60 ◽  
Author(s):  
T.Yu. Altufyeva ◽  
◽  
P.A. Ivanov ◽  
G.R. Sakhapova ◽  
◽  
...  
Keyword(s):  
Life Cycle ◽  
Public And Private ◽  
Life Cycle Stages

scholarly journals COMPETITIVE EFFECTS OF THE ALIEN INVASIVE CENTAUREA SOLSTITIALISL. ON TWO CHILEAN BACCHARIS SPECIES AT DIFFERENT LIFE-CYCLE STAGES

2009 ◽  
Vol 66 (1) ◽  
Author(s):  
Susana Gómez-González ◽  
Lohengrin A Cavieres ◽  
Patricio Torres ◽  
Cristian Torres-Díaz
Keyword(s):  
Life Cycle ◽  
Competitive Effects ◽  
Life Cycle Stages

scholarly journals Mitigating the Energy Consumption and the Carbon Emission in the Building Structures by Optimization of the Construction Processes

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3287
Author(s):  
Alireza Tabrizikahou ◽  
Piotr Nowotarski
Keyword(s):  
Life Cycle ◽  
Energy Consumption ◽  
Structural Optimization ◽  
Carbon Emissions ◽  
Carbon Emission ◽  
Construction Materials ◽  
High Energy ◽  
Building Structures ◽  
Life Cycle Stages ◽  
Reduction Of Energy Consumption

For decades, among other industries, the construction sector has accounted for high energy consumption and emissions. As the energy crisis and climate change have become a growing concern, mitigating energy usage is a significant issue. The operational and end of life phases are all included in the building life cycle stages. Although the operation stage accounts for more energy consumption with higher carbon emissions, the embodied stage occurs in a time-intensive manner. In this paper, an attempt has been made to review the existing methods, aiming to lower the consumption of energy and carbon emission in the construction buildings through optimizing the construction processes, especially with the lean construction approach. First, the energy consumption and emissions for primary construction materials and processes are introduced. It is followed by a review of the structural optimization and lean techniques that seek to improve the construction processes. Then, the influence of these methods on the reduction of energy consumption is discussed. Based on these methods, a general algorithm is proposed with the purpose of improving the construction processes’ performance. It includes structural optimization and lean and life cycle assessments, which are expected to influence the possible reduction of energy consumption and carbon emissions during the execution of construction works.

scholarly journals Mitochondrial Processes during Early Development of Dictyostelium discoideum: From Bioenergetic to Proteomic Studies

Genes ◽  
2021 ◽  
Vol 12 (5) ◽  
pp. 638
Author(s):  
Monika Mazur ◽  
Daria Wojciechowska ◽  
Ewa Sitkiewicz ◽  
Agata Malinowska ◽  
Bianka Świderska ◽  
...  
Keyword(s):  
Life Cycle ◽  
Developmental Stages ◽  
Coupling Efficiency ◽  
Slime Mold ◽  
Intact Cells ◽  
Life Cycle Stages ◽  
Early Developmental Stages ◽  
Proteomic Study ◽  
And Function ◽  
Early Developmental

The slime mold Dictyostelium discoideum’s life cycle includes different unicellular and multicellular stages that provide a convenient model for research concerning intracellular and intercellular mechanisms influencing mitochondria’s structure and function. We aim to determine the differences between the mitochondria isolated from the slime mold regarding its early developmental stages induced by starvation, namely the unicellular (U), aggregation (A) and streams (S) stages, at the bioenergetic and proteome levels. We measured the oxygen consumption of intact cells using the Clarke electrode and observed a distinct decrease in mitochondrial coupling capacity for stage S cells and a decrease in mitochondrial coupling efficiency for stage A and S cells. We also found changes in spare respiratory capacity. We performed a wide comparative proteomic study. During the transition from the unicellular stage to the multicellular stage, important proteomic differences occurred in stages A and S relating to the proteins of the main mitochondrial functional groups, showing characteristic tendencies that could be associated with their ongoing adaptation to starvation following cell reprogramming during the switch to gluconeogenesis. We suggest that the main mitochondrial processes are downregulated during the early developmental stages, although this needs to be verified by extending analogous studies to the next slime mold life cycle stages.

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