scholarly journals Data Journalism as a Service: Digital Native Data Journalism Expertise and Product Development

2020 ◽  
Vol 8 (2) ◽  
pp. 62-72 ◽  
Author(s):  
Ester Appelgren ◽  
Carl-Gustav Lindén
Keyword(s):  
Qualitative Case Study ◽  
Digital Native ◽  
Investigative Journalism ◽  
Types Of Knowledge ◽  
Start Up ◽  
Data Journalism ◽  
Programming Knowledge ◽  
External Actors ◽  
Start Ups

The combined set of skills needed for producing data journalism (e.g., investigative journalism methods, programming, knowledge in statistics, data management, statistical reporting, and design) challenges the understanding of what competences a journalist needs and the boundaries for the tasks journalists perform. Scholars denote external actors with these types of knowledge as interlopers or actors at the periphery of journalism. In this study, we follow two Swedish digital native data journalism start-ups operating in the Nordics from when they were founded in 2012 to 2019. Although the start-ups have been successful in news journalism over the years and acted as drivers for change in Nordic news innovation, they also have a presence in sectors other than journalism. This qualitative case study, which is based on interviews over time with the start-up founders and a qualitative analysis of blog posts written by the employees at the two start-ups, tells a story of journalists working at the periphery of legacy media, at least temporarily forced to leave journalism behind yet successfully using journalistic thinking outside of journalistic contexts.

scholarly journals VALUE CO-CREATION THROUGH SOCIAL MEDIA: A CASE STUDY OF A START-UP COMPANY

2019 ◽  
Vol 20 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Junic Kim ◽  
Hwanho Choi
Keyword(s):  
Social Media ◽  
Value Creation ◽  
Small Businesses ◽  
Start Up ◽  
Media Platform ◽  
Social Media Tools ◽  
Start Ups ◽  
The Relationship ◽  
Social Media Strategy

This research examines social media users’ value-creation processes and the drivers of a start-up company’s successful social media strategy. This research primarily aims to understand start-ups’ effective utilization of social media and value co-creation processes. Although utilizing social media has become key for many organizations, start-ups and small businesses often suffer from a lack of understanding and knowledge of the utilization of social media tools. Therefore, this article uses a case study on the relationship between a social media platform and users’ value co-creation to offer a conceptual framework for start-ups to consider in utilizing social media. Our research reveals that four core drivers of social media success include experience, satisfaction, expression, and sharing ability. Each of these drivers in turn contains conditions for understanding users’ value-creation process and the creation of drivers for successful social media strategies. The research contributes to literature by providing a detailed review of users’ value co-creation as a part of a start-up’s successful social media strategy.

scholarly journals Accelerating chemical start-ups in ecosystems: the need for biotopes

2017 ◽  
Vol 20 (1) ◽  
pp. 135-152 ◽  
Author(s):  
Maarten J.G.M. van Gils ◽  
Floris P.J.T. Rutjes
Keyword(s):  
Open Innovation ◽  
Organizational Capacity ◽  
Innovation Process ◽  
Ecosystem Model ◽  
Innovation Ecosystem ◽  
Content Type ◽  
Start Up ◽  
Innovation Practices ◽  
Start Ups

Purpose The purpose of this paper is to clarify the relationship between start-ups and an innovation ecosystem. Start-ups need resources available in the ecosystem to grow, but experience organizational capacity limitations during their open innovation practices. This study frames the “open innovation” interface and discloses ways to accelerate the process of connecting start-ups’ demands to ecosystem’s supplies. Design/methodology/approach A case study was used to describe the development of a conceptual ecosystem model to frame the “open innovation” interface and its subsequent implementation at nine start-up hotspots in the Dutch chemical industry. To develop the ecosystem model, the system of innovation concept was enriched with the perspective of a chemical start-up to pinpoint critical resources for growth. Findings It is suggested that the most relevant “open innovation” interface for start-ups looking to grow is an innovation biotope: a well-defined, business-oriented cross-section of an ecosystem. All stakeholders in a biotope are carefully selected based on the entrepreneurial issue at stake: they can only enter the secured marketplace if they are able to provide dedicated solutions to start-ups. The biotope enables “open innovation in a closed system” which results in acceleration of the innovation process. Originality/value This is the first study to report on the definition and implementation of an innovation biotope as the “open innovation” interface between an ecosystem and start-ups. In addition, it provides a powerful tool, the ecosystem canvas, that can help both regional and national innovation systems to visualize their ecosystem and identify blind spots.

scholarly journals Analisis Perbandingan Algoritma Decision Tree, kNN, dan Naive Bayes untuk Prediksi Kesuksesan Start-up

2021 ◽  
Vol 6 (3) ◽  
pp. 178-188
Author(s):  
Adhitya Prayoga Permana ◽  
Kurniyatul Ainiyah ◽  
Khadijah Fahmi Hayati Holle
Keyword(s):  
Decision Tree ◽  
Naive Bayes ◽  
Naïve Bayes ◽  
Test Results ◽  
Decision Tree Algorithm ◽  
Tree Algorithm ◽  
Start Up ◽  
The Many ◽  
Start Ups

Start-ups have a very important role in economic growth, the existence of a start-up can open up many new jobs. However, not all start-ups that are developing can become successful start-ups. This is because start-ups have a high failure rate, data shows that 75% of start-ups fail in their development. Therefore, it is important to classify the successful and failed start-ups, so that later it can be used to see the factors that most influence start-up success, and can also predict the success of a start-up. Among the many classifications in data mining, the Decision Tree, kNN, and Naïve Bayes algorithms are the algorithms that the authors chose to classify the 923 start-up data records that were previously obtained. The test results using cross-validation and T-test show that the Decision Tree Algorithm is the most appropriate algorithm for classifying in this case study. This is evidenced by the accuracy value obtained from the Decision Tree algorithm, which is greater than other algorithms, which is 79.29%, while the kNN algorithm has an accuracy value of 66.69%, and Naive Bayes is 64.21%.

scholarly journals Comparing Bootstrapping High-Tech Start-Up Companies in the West and in a Transition Country

2020 ◽  
Vol 7 (1) ◽  
pp. 7-14
Author(s):  
Dragana Popovic Renella ◽  
Vojin Senk ◽  
Fuada Stankovic
Keyword(s):  
Essential Feature ◽  
High Tech ◽  
Information Feedback ◽  
Industrialized Countries ◽  
Transition Country ◽  
The West ◽  
Start Up ◽  
The One ◽  
Start Ups

This is a study of the process of the development of high-tech start-up companies through the mechanisms of bootstrapping in two extremely different environments: the one of highly industrialized countries, such as USA and Switzerland; the other of Serbia, which is a post-communist transition country with particular difficulties. The research method is the analysis of case studies. One case study of US and two of Swiss start-ups build the base for the analysis. All three cases show common patterns: from the very beginning, these companies sell R&D services in their fields of expertise; and using the cash from these early sales, and the information feedback from cooperation with the early customers, they develop their resources and, eventually, also their own high-tech products. The essential feature of this process is the selling of R&D services and the first products in the neighborhoods. Then also two cases of high-tech start-ups from Serbia are analyzed. Both Serbian start-ups are founded in partnership with small high-tech companies from highly industrialized countries (Switzerland and Germany). The Western partners use their reputations and contacts to enable the early sales of the Serbian start-ups in the industrialized countries. This is crucial for the Serbian start-ups, because they have no domestic market for R&D services. Apart of this element, all other essential patterns of the Serbian cases are very similar to those of the Western cases.

scholarly journals Open accelerators for start-ups success: a case study

2017 ◽  
Vol 20 (1) ◽  
pp. 80-111 ◽  
Author(s):  
Cinzia Battistella ◽  
Alberto F. De Toni ◽  
Elena Pessot
Keyword(s):  
Open Innovation ◽  
Research Question ◽  
Innovation Process ◽  
Open Approach ◽  
Content Type ◽  
Start Up ◽  
The One ◽  
Innovation Practices ◽  
Start Ups

Purpose The purpose of this paper is to investigate how the context of open innovation offered by accelerators can affect the successful growth of start-ups. The authors explore accelerators practices and tools in sustaining start-ups and increasing survival probability in their innovation process, with the aim of addressing the following research question: how can start-ups benefit from participation in an accelerator programme from an open innovation perspective? Design/methodology/approach A review of the literature on start-up successes and failures and on major practices in the open innovation paradigm was carried out, delineating them in the context of accelerators. Given the absence of literature on accelerator practices for supporting start-ups, and aiming at a comprehensive understanding of how the open environment within the accelerator influences a start-up’s survival (or even success) by mitigating the probability of failure, the authors conducted an exploratory case study in an English accelerator. Findings The open innovation practices mediated by an accelerator and the ones that are not covered, but that can benefit a start-up’s survival, are shown. On the one hand, main effective practices, such as dyadic co-creation with accelerator network partners and crowdsourcing, are revealed to address mostly the lack of, or wrong direction in, product, marketing and relative managerial abilities, which are not usually owned by a start-up due to its “newness”. On the other hand, some causes of failures, such as the intrinsic characteristics of founder teams, do not seem to be addressed by an open approach and neither does participation in an accelerator programme. Originality/value This paper is the first to study and link the literature on accelerators, start-ups and open innovation.

scholarly journals The Effects of Using Business Intelligence Systems on an Excellence Management and Decision-Making Process by Start-Up Companies: A Case Study

2018 ◽  
Vol 4 (3) ◽  
pp. 30-40 ◽  
Author(s):  
Otmane Azeroual ◽  
Horst Theel
Keyword(s):  
Business Intelligence ◽  
Success Factors ◽  
Information Gathering ◽  
Decision Making Process ◽  
Start Up ◽  
Comprehensive Information ◽  
Business Intelligence Systems ◽  
Start Ups ◽  
Existing Data

The rapid increase in data volumes in companies has meant that momentous and comprehensive information gathering is barely possible by manual means. Business intelligence solutions can help here. They provide tools with appropriate technologies to assist with the collection, integration, storage, editing, and analysis of existing data. While almost only large companies were interested in this topic a few years ago, it has meanwhile also become necessary for start-up companies, and so the market for business intelligence has been growing for years. This article focuses on the general potentials of using BI in start-ups. First, will be examined which providers of BI solutions that are suitable for start-ups and what opportunities exist for implementing BI systems in start-ups. Then it will be shown to what extent BI has prevailed in start-ups, in which areas the techniques of BI are used in start-ups and what purpose BI has in start-ups. Finally, the success factors for BI projects in start-ups are considered.

NEW VENTURES AS SUPPLIERS: THE BUILDING OF TRUST WITH INDUSTRIAL CUSTOMERS

1998 ◽  
Vol 06 (04) ◽  
pp. 369-390 ◽  
Author(s):  
LEIF SANNER
Keyword(s):  
New Ventures ◽  
Frame Of Reference ◽  
New Venture ◽  
New Business ◽  
External Actors ◽  
Start Ups

The new venture starts in an equivocal situation. To use and build trusted relationships with external actors, notably customers in spe, is an important way for the entrepreneur to establish business. In an inductive in-depth case study between entrepreneurs and customers, trust was studied. For two business start-ups the entrepreneurs' building and use of trust in action processes between the new ventures and some of their customers was investigated covering 5 years. Using a frame of reference concerning new business trust, trustbuilding in action processes is identified in interviews. Patterns of trustbuilding are summarised, conclusions concerning trustbuilding in the cases are presented and discussed. Some possible contributions for practice and theory are outlined.

scholarly journals The Effect of Corporate — Start-Up Collaborations on Corporate Entrepreneurship

2021 ◽  
Author(s):  
J. P. Coen Rigtering ◽  
M. Ayelen Behrens
Keyword(s):  
Corporate Entrepreneurship ◽  
Success Rates ◽  
Individual Level ◽  
Start Up ◽  
Entrepreneurial Organization ◽  
Multiple Case ◽  
Working Practices ◽  
Corporate Renewal ◽  
Start Ups

AbstractIn an attempt to become more flexible and responsive, corporates increasingly collaborate with start-ups. By doing so, corporates hope to make a transition towards a more entrepreneurial organization or to rejuvenate their organizational culture and working practices. We present the results of a multiple case study in which we compare eight corporate—start-up collaborations that achieved different success rates in terms of promoting corporate renewal. Our focus is on the corporate individuals that participate in the collaboration and we combine literature on corporate entrepreneurship with institutional theory to study the conditions under which these individuals are more likely to exhort transformational agency and to contribute to renewal. Our results indicate that the effect of corporate—start-up collaborations on renewal is mediated by two individual-level mechanisms: reflexivity and intrinsic motivation. In addition, we identify several organizational contingencies that affect both the likelihood that corporate individuals adopt a reflexive orientation and are intrinsically motivated as well as the likelihood that their transformational efforts are successful.

scholarly journals Why Do Digital Native News Media Fail? An Investigation of Failure in the Early Start-Up Phase

2020 ◽  
Vol 8 (2) ◽  
pp. 51-61 ◽  
Author(s):  
Christopher Buschow
Keyword(s):  
New Media ◽  
News Media ◽  
New Ventures ◽  
Case Study Research ◽  
Digital Native ◽  
Early Start ◽  
Start Up ◽  
Digital News ◽  
User Orientation ◽  
Start Ups

Digital native news media have great potential for improving journalism. Theoretically, they can be the sites where new products, novel revenue streams and alternative ways of organizing digital journalism are discovered, tested, and advanced. In practice, however, the situation appears to be more complicated. Besides the normal pressures facing new businesses, entrepreneurs in digital news are faced with specific challenges. Against the background of general and journalism specific entrepreneurship literature, and in light of a practice–theoretical approach, this qualitative case study research on 15 German digital native news media outlets empirically investigates what barriers curb their innovative capacity in the early start-up phase. In the new media organizations under study here, there are—among other problems—a high degree of homogeneity within founding teams, tensions between journalistic and economic practices, insufficient user orientation, as well as a tendency for organizations to be underfinanced. The patterns of failure investigated in this study can raise awareness, help news start-ups avoid common mistakes before actually entering the market, and help industry experts and investors to realistically estimate the potential of new ventures within the digital news industry.

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