Successful Start-up Research Articles

Antecedents of consumer loyalty in ride-hailing

The rise of the sharing economy has remarkedly shifted consumers’ traffic behaviour, which gave rise to successful start-up businesses, such as Uber and Grab, that offer innovative transport alternatives through car and ride sharing. This study investigates consumers’ traffic attitudes and behavioural responses to on-demand ride-hailing. Using structural equation modelling, our survey findings showed that price consciousness, perceived usefulness, ease of use, safety risk and customer value exert significant influences on word-of-mouth (WOM), a manifestation of attitudinal loyalty towards ride-hailing. Contrary to findings in previous studies, our study found insignificant effects of personal innovativeness, subjective norm and perceived privacy security on WOM. In addition, although environmental consciousness is a predictor of WOM, its significant effect on WOM is negative. WOM is found to significantly impact purchase intention which is an indicator of behavioural loyalty. By identifying the antecedents of consumer loyalty in ride-hailing, this study provides recommendations for the ride-hailing ecosystem to generate more sustainable urban transport solutions.

Airbnb Development from Time to Time in the Era of Pandemic

The world is currently busy with the COVID-19 pandemic, which until now has not found a vaccine, Indonesia is included in it. The purpose of this research is to find out what strategies the leaders have taken during the COVID-19 pandemic and the new normal. Rapid technological advances have caused many new startups to appear, many have succeeded but not a few have failed and have to go out of business, based on a survey from Forbes magazine 90% of startups in the world fail to develop their startups, many factors influence the success of startups, one of which is HR, but still Few startups care about the HR factor.

관광스타트업의 성공 요인 분석

This study aims to uncover the key determinants of success for tourism start-ups, which has been gradually developing and expanding in the ecosystem of the domestic tourism industry. To this end, the four factors of the ERIS model, a proven model that has been used to derive the determinants of venture and start-up performance in various fields, were organized as a framework for research. Two rounds of Delphi analysis were conducted with academic, industrial, and policy-related experts. As a result, a total of 41 elements of success factors were derived: 13 from entrepreneur factor, seven from resource factor, nine from industry structure factor, and 12 from business strategy factor. In addition, it was confirmed that the 'understanding industrial trends' and 'business differentiation strategy' derived through the first Delphi open questionnaire appeared as the determinants for success reflecting the characteristics of the tourism industry. The AHP analysis also assessed that the entrepreneur factor among the four factors in ERIS model was the most important factor in determining the success of the tourism start-ups. It was found that the human capacity, especially entrepreneurs’ competence can be the key factor to the success in small companies such as tourism start-ups. Based on the results, theoretical and practical implications were proposed to foster and promote future tourism start-up businesses.

Keeping Up with Innovation: Perspectives into the Present and the Future Needs of the Indian Food Sector

Innovation has become a vital paradigm today for both to start a successful startup and also to run an already functioning business efficiently. The Indian food sector has enormous potentialities to transform the Indian economy due to its both forward-thinking technology adoption and backward traditional practices that together form a strong linkage. However, this potential can be converted into reality only through investment and continuous innovations. Based on these concepts, the present paper gives attention to these innovation terminologies and then dives into how these innovations have a drive within the Indian food industry. The study is exploratory and is based on secondary data sources regarding innovation, R&D investments by companies, and the number of patents registered. The paper also sheds light on how policies and government regulation can indulge innovation more in the food sector in the coming future.

Relationship between Commissioning and Start-Up Success Factors Achievement and Performance in Capital Projects

AbstractMany industrial projects have experienced significant operability problems and failed to achieve capital project investment objectives during the commissioning and start-up (CSU) phase. To ...

Entrepreneurial marketing and entrepreneurial financing practices of startup business

This research aims to analyze the entrepreneurial marketing and entrepreneurial financing practices of startup business. The analytical method used is descriptive qualitative by using 5 informants as startup business owners in indonesian. The results found that successful startup businesses practice entrepreneurial marketing through product innovation, adaptation of consumer tastes, maintain good relationships with customers and suppliers, and conduct informal market observations. In addition, they also practice entrepreneurial financing through using of funds for product innovation and creativity.

Econometric Estimation of the Factors That Influence Startup Success

Technology startups are important regional economic engines that are recognized as drivers of sustainable economic growth. Understanding the factors that influence their success is of interest both to the scientific community and to practitioners. However, there is currently no consensus in the literature on how to define the success of a technology startup. Startup success has multiple dimensions and different theoretical approaches and empirical contexts. Therefore, in the present work, our aim is to identify ways of measuring the success of a technology startup. Using a review of the literature and interviews with entrepreneurs and venture capital investors, we identified two common success indicators: achieving significant revenue and obtaining financing. We then analyzed the factors that have the greatest impact on startup success using 340 startups. We used a multivariate model based on independent econometric estimates for each of the two ways of defining the success of a technology startup. The main conclusion is that there are four factors that have a significant influence on the two ways of measuring success: the location of the startup, the promoting partners’ dedication, the age of the company, and the existence of nonpromoting partners.

Successful startups: do their entrepreneurs share a common characteristic?

It is challenging to define what makes a startup successful and which factors determine the success of a startup. In this paper, we define successful startup those that survived at least three years and made at least one sale during that period. Looking to discuss which of the founders’ characteristics explain the success of a startup, we assessed the characteristics of the key individuals who run startups in Brazil to validate their profiles as entrepreneurs according to SEBRAE (2018). The survey and this study evidenced interesting characteristics of founders of Brazilian startups and one common characteristic among successful startups founders: successful founders are less worried than nonsuccessful founders to get other stakeholders’ support. This study identifies important research questions to be developed. Keywords: Entrepreneur profile, startup, success, entrepreneurship

Successful startup of first TertiNOx catalyst to reduce harmful N2O and NOx in nitric acid industry.

Successful startup of first TertiNOx catalyst to reduce harmful N2O and NOx in nitric acid industry.

How large pharma impacts biotechnology startup success.

How large pharma impacts biotechnology startup success.

Numerical investigations of assisted heating cold start strategies for proton exchange membrane fuel cell systems

To investigate cold start strategies at the system level, an integrated transient system model is developed, consisting of stack, membrane humidifier, electrochemical hydrogen pump, compressor, and radiator. The unassisted startup from −10 °C succeeds while it fails when started from −20 °C. To achieve the successful startup from −20 °C, various assisted strategies are adopted. For reactant gas heating method, the additional heat carried by gases is averaged about 1.2 W for each individual cell when the temperature of humidifier and hydrogen pump are maintained at 60 °C. Meanwhile, a large amount of moisture is introduced to the stack, which may lead to accelerated failure. For stack heating method, the startup succeeds if the total heating power reaches 40 W. However, the corresponding temperature difference within stack reaches as large as 22.0 °C, which indicates that improving the thermal conductivity of fuel cell materials is of great importance. Under coolant heating method, the startup succeeds if the coolant temperature reaches −5 °C, and the ice formation can even be avoided if the coolant temperature is kept at 10 °C. However, the power consumption for heating coolant is extremely large, indicating that secondary power sources are necessary.

Unicorn Exits as a Trigger for the Development of Small Countries’ Startup Ecosystems

The success of startups largely depends on the level of development of the startup ecosystem. Therefore, this article examines a previously unconsidered issue: what is the impact of large exits in countries with a small economy on the development of the startup ecosystem? To answer this question, we used the method of comparative analysis for a variety of static and dynamic indicators: the number of business angels, startups, investments in startups, large investment rounds, and exits in four relatively homogeneous countries. In the study, we presented empirical evidence that the exit of founders and investors from unicorn startups is one of the main – and possibly the most important – external driver of the growth of qualitative and quantitative indicators of the startup ecosystem in countries with a small population and a small economy.

A study on emerging trends in Indian startup ecosystem: big data, crowd funding, shared economy

PurposeIndia ranks third in the global startup ecosystem in the world incubating more than 50,000 startups and witnessing 15% YoY growth per year. Being a center of innovation and skilled labor, Indian startups have attracted investments from all over the world. This paper aims at exploring the trends that are driving the growth in the Indian startup ecosystem.Design/methodology/approachTop 200 startups according to valuation are selected as a sample to find out the major trends in the Indian startup ecosystem. This paper includes surveying the sample startups about the implementation of trends such as big data, crowdfunding and shared economy in their startup and its tangible, as well as intangible impacts on their business. The result of the survey is analyzed to get an overview of the emerging trends in the Indian startup ecosystem.FindingsMajor ten emerging trends that drive growth in the Indian startup ecosystem are discovered and the areas where these trends can be leveraged are identified.Originality/valueThis research has contributed toward structuring and documenting the growth driving trends, and it will help the budding entrepreneurs to get familiar with the contemporary trends, pros and cons associated with it and the ways to leverage these trends to build a successful startup.

Managing the key factors of green energy start-ups

The article shows different aspects of business model to get success of start-ups. The main purpose of the study was to improve the using key factors of business model and strategic business solutions in energy sector. This paper tries to build up a model between start-up development, business and education level of key-managers. It was discovered the idea of a nexus between education as a key factor of green start-ups by analysing data (it was investigated by econometric model based on MS Excel). The results reveal that there is no direct relationship between the highest level of education and the seed stage of start-up, but at the same time doctoral degree can influence on the steady stage of start-ups in future. This implies education can promote economic development in green energy sector. The study also theoretically proves the importance of marketing strategies in business start-up.

To Start-Up or to Work in a Startup

I look at the perception of the background of startup founders. We look at founders who were employees in a successful startup or founders in a failed/successful startup. I find that success is sticky and previous success improves predicted success but it is true for employees and founders alike. Failed female founders are judged more harshly as compared to failed male founders. We provide valuable insight to fresh graduates who face the dilemma to startup or to work in a startup.

Системный подход к управлению креативным персоналом: эффективный путь к инновациям

The main trends in the field of creative personnel management and the value of innovative culture were the subject of the study. Creative staff and innovation culture are of particular importance due to the need of organization to increase competitive advantages through the development of its innovative potential. The purpose of the work was to analyze trends in the personnel management and study modern approaches to the management of creative personnel, providing the organization with growth, development and innovation. The results of the work: the concepts of creativity, innovation, competitive advantage, organization of an innovative type were investigated and specified, key trends in the HR sphere (in human resource management) were summarized, the roles of personnel managers were understood. The profile of employees of generation Z has been investigated, the logic of motives for the behavior of creative employees has been built. Characteristics of innovative culture based on reproduction of the startup culture values are given. Successful startups (creative teams) are able to optimally combine experimentation, risk and responsibility. It was concluded that the ability to think creatively is a universal human talent. Practical recommendations on HR analytics and the effectiveness of personnel decisions are presented, key directions of the strategy for managing the younger generation Z are specified, the motives for behavior of creative employees are investigated, characteristics of innovative culture that allow the organization built a creative environment are studied.

Logit-model for predicting startup’s venture funding

The paper is devoted to deepening the academic basics using forecasting modeling methods to determine the predictors of enterprises’ success. A startup as a form of entrepreneurship is important today due to the ability to maintain the sustainability of the economic system through a flexible response to challenges. The startup’s potential for receiving external, direct venture financing from other economic counterparties is important forits sustainable development and success. The empirical study puts forward two hypotheses. The first one is that successful startups have common features, which are the factors in obtaining venture financing, i.e. predictors of success. The second hypothesis is a continuation of the first one and requires testing the importance of information representation and clarity of future startup results among venture investors, in particular through the information available about the startup’s activity over the Internet. The empirical study is based on data sets about startups in Ukraine over the last decade. The simulation is performed with logit models developed by the authors. The calculation allows us to confirm the identification of factors of direct influence on the startup’s success according to the built models. The ability to obtain venture capital is one of the startup’s characteristics. The logit model is used as the research tool to determine the relevant factors for defining the positive decision of venture investors to provide startup funding. Predictors of obtaining external funding are identified and considered as the prerequisites for the startup’s success in general. According to the research results,the presence of previous investors, the startup’s profit orientation, the startup’s website, and availability of information about its activity in the social network are the important factors for receiving external financing by a startup. Thepaper argues that the startup’s focus on the public good without profit orientation does not stimulate venture investors. Two periods of the startup founding are singled out among the influence signs in deciding whether a startup will receive external financing: before 2014 and after it. The recognizability of a startup became the determining factor for venture financing after 2014 due to the information provided through the Internet. Until 2014, the relationship with large corporations’ clients had been the most important feature for a startup with external venture financing.

НЕЙРО-НЕЧІТКА МОДЕЛЬ ІНФОРМАЦІЙНОЇ ТЕХНОЛОГІЇ КОМПЛЕКСНОЇ ОЦІНКИ РІВНЯ УСПІШНОСТІ STARTUP-ПРОЄКТІВ

Nowadays, there are sad statistics that about 90% of all startups have failed. That is why the development of methods and models for predicting the success of startup projects is significant.There is no research on using neuro-fuzzy systems for astartup success integrated assessment. This statement only em-phasizes the need to develop and implement such a system due to its undeniable relevance.Fuzzy systems are widespread in modern startup success forecasting models, but they have disadvantages like finding membership functions, the need for an expert to determine the rules and total adherence to the existing system rules. That iswhy the search for the possibilities to combine neural networks and fuzzy logic has become quite popular.Most of theexisting analysis and projects evaluation models use accurate data-based training, but it is not always possible to provide accurate startup data. The purpose of this research is to support decision-making in the creation of startup projects through the development of an automated information system for a comprehensive assessment of the startup success.A neuro-fuzzy information technology model for startup success level integrated assessment has been developed, consist-ing of 3 main subsystems. The data processing subsystem,subsystem of neuro-fuzzy assessment for projects, subsystem for searching for successful startup projects and selecting strategies for further startup development. The complex information system will allow you to get a success assessment, an individually formed strategy for project development, and use the experience of similar startups in the development.

ПЕРЕВАГИ УКРАЇНИ НА СВІТОВОМУ РИНКУ ІТ-ТЕХНОЛОГІЙ

The strategic importance of forming a national innovation system has been confirmed in the theories of Kondratiev, Schumpeter and Freeman. Rapid technological development orients economic entities to strengthen their competitive advantages in the global IT market. The opportunities created by IT technologies during the pandemic phase of global economic development are extremely important for countries with economies in transition and developing countries. The article is devoted to determining the advantages of Ukraine in the global IT market based on rapid analysis of the national IT sector. The specialized incentives of Ukrainian state government institutions in the framework of tax, immigration, investment policies, reforms of the institutional sphere and higher education have been identified, which in the medium term allow expecting increased investment attractiveness of the national IT sector. The growing orientation of the IT sector of Ukraine to exports, in particular, the focus on the regions of North America and the European Union has been identified. On the one hand, the dynamic development of business process outsourcing services in the country, and the shortage of digital skills in Sweden and Denmark on the other, open new prospects for Ukraine in the Scandinavian markets. It has been identified that today the relatively low labor costs of the IT sector, growth of human resources based on the upward dynamics of the number of graduates, high quality technological education, significant level of integrated skills are the main competitive advantages of Ukraine in the world IT market. It has been stated that the human resources potential of the IT sector of Ukraine on the basis of geographical distribution is concentrated in Kyiv, Lviv and Kharkiv. It has been hypothesized that the location of R&D offices in Ukraine by world technology leaders and the growth of precedents of successful Ukrainian startups (such as Grammarly, People.ai, Readdle, Attendify, MacPaw) will increase the concentration of scientific and technological potential. It has been concluded that in these conditions international projects with the participation of Ukrainian IT specialists become relevant.

Perception of Founders' Education and Gender in Startups

I look at the perception of educational background of startup founders. I find a difference between the estimated probability of success for startups driven by school educated female founders versus those driven by highly educated female founders(higher). The difference is driven more by female respondents. We dont find any statistically significant difference in the estimated probability of abandoning the startup between males and female founders. There is a difference in the estimated probability of school educated male founders abandoning the startup in case of female respondents vs male respondents(higher). This is also driven by female respondents. This research suggests specific steps for founders while pitching to customers/buyers.