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This study aims to emphasize the integration of lean start-up and design thinking approaches and investigate how they may be used together.

The report uses a systematic literature review methodology to analyze and summarize previous research on combining lean start-up and design thinking. Inferences were discovered and analyzed after relevant publications were chosen based on predetermined inclusion criteria.

The research shows that combining lean start-up and design thinking significantly impacts entrepreneurship. Start-ups can efficiently uncover consumer needs, reduce risks and improve their product or service offerings by combining the client-centricity of design thinking with the iterative and data-driven concepts of lean start-up. This integration promotes an innovative culture, gives teams the freedom to try new things and learn from mistakes and raises the possibility of start-up success.

The dependence on pre-existing literature, which might cover only some potential uses and circumstances, is a weakness of this research. It is advised that more empirical research be conducted to determine the precise circumstances in which the integrated strategy performs best. Future studies should also explore the difficulties and drawbacks of using these approaches to offer suggestions for overcoming them and maximizing their advantages.

The findings have significant ramifications for business owners and other professionals working in the start-up environment. The combination of lean start-up and design thinking emphasizes the relevance of early customer interaction and empathy-driven design. To foster creativity and hasten the expansion of start-ups, practitioners are urged to create a comprehensive strategy that integrates the advantages of both techniques. Through this integration, business owners may develop solutions that appeal to their target market, increasing adoption rates and market competitiveness.

This study is interesting in comparing lean start-up and design thinking, emphasizing the overlaps and benefits of their application to entrepreneurship. This study discusses successful start-up methods by offering suggestions for future research and practice. It also provides a basis for further developing and adopting the integrated approach.

This paper aims to investigate the effect of business incubation metrics based on an adaptation of the lean start-up (LS) framework on start-up survival after incubation. This study also analyzes the obstacles in implementing the LS framework as incubation metrics.

This study uses mixed methods. Quantitative research using multiple linear regression was applied to the data of 30 start-ups incubated at Bandung Techno Park for the 2014–2017 period and survival tracking data after the incubation. A qualitative approach to complete the explanatory work was conducted through in-depth interviews with 12 respondents, including start-up graduates from the incubation program, program managers and mentors.

This study confirms that several LS incubation metrics significantly affect start-up sustainability after incubation. In addition, this study also explains several problems in applying the LS discipline that needs attention to increase incubation success.

Research was conducted only at one technology business incubator (TBI) model that focuses on digital start-ups in the emerging ecosystem. Research results can be biased in different situations and ecosystems.

The explanation of the relationship of LS-based incubation metrics to the survival of start-ups, as well as the challenges of their implementation, can be a reference for TBI management to consider and prioritize intervention strategies, thereby improving TBI’s business processes and increasing the success rate of incubated start-ups.

The creation of university start-ups and spin-offs has become a key performance indicator mandatory for technology universities in Indonesia. The existence of TBI institutions in universities as channels of technology commercialization is essential. The incubator’s success in creating a new technology-based company will have a significant social impact on the surrounding environment.

Although the LS method is popular in start-up communities and among practitioners, it is rarely used in the incubation process at universities. These results can be considered for university TBIs to explore LS as an incubation management tool to increase the success rate of incubated start-ups.

The purpose of this paper is to highlight the prominent cognitive biases that influence Lean practices in organisations that have a multi-cultural work environment which will aid the organisational managers and academics in enhancing the understanding of the human thought process and mitigate them suitably.

A multiple case study was conducted in organisations that were previously committed to Lean practices and had a multi-cultural work environment. This research was conducted on five companies based on 99 in-depth semi-structured interviews and seven process observations that sought to establish the system-wide cognitive biases present in a multi-cultural Lean environment.

The novel findings indicate that nine new biases influence Lean implementation and practices in a multi-cultural environment. This study also found strong connectivity between Lean practices and 45 previously identified biases that could affect positively or negatively the lean methodologies and their implementation. Biases were resilient enough that their influence on Lean in multi-cultural workplaces, even with transient populations, did not demonstrate cultural differentiation.

Like any qualitative research, constructivism and narrative analyses are subjected to understanding based on knowledge gained on the subject, and data may have been interpreted differently. Constructivist co-recreation of process scenarios based result limitations is therefore acknowledged. The interactive participation in exploring the knowledge sought after and interaction that could have a probable influence on the participant need to be acknowledged. However, the research design, multiple methods of data collection, generalisation based on data collection and analysis methods limit the effects of these and findings are reliable to a greater extent.

The results can provide an enhanced understanding of biases and insights into a new managerial approach to take remedial steps on biases’ influence on Lean practices that can result in improved productivity and well-being from a business process perspective. Understanding and mitigating the prominent biases can aid Lean manufacturing processes and support decision makers and line managers in improving lean methodologies’ effectiveness and productivity. The biases can be negated and used to implement decisions with ease. The influence of biases and the model could be used as a basis to counter implementation barriers.

To the best of the authors’ knowledge, this is the first study that connects the cognitive perspectives of Lean business processes in a multi-cultural environment to identify the cognitive biases that influence Lean practices in organisations that were previously committed to Lean practices. The novel findings indicate that nine new biases and 45 previously identified biases influence Lean implementation and practices in a multi-cultural environment. The second novelty of this study shows the connection between cognitive biases, Lean implementation and practices in multi-cultural business processes.

This paper outlines how Design for Lean Six Sigma methods aided a medical device manufacturing company in developing a new strategic space management and approval process for its manufacturing site.

The project demonstrates the application of the Design for Lean Six Sigma and structured Define, Measure, Analyse, Design, and Verify methodology in designing and implementing a process that enables the case study manufacturing site to improve its space utilisation and free up space.

The project was validated in one manufacturing department, and the Design for Lean Six Sigma methodology resulted in creating 15% new space for that area, with opportunities identified to free up 44.7% of the total manufacturing floor space and realise over €2.2 million cost savings as well as start to manufacture new products launched.

The manuscript highlights for the first time how the Design for Lean Six Sigma methodology can be utilised for space utilisation and can be leveraged by other manufacturers. The current study's limitations are that it is a single-site case study application. Future longitudinal case studies on Design for Lean Six Sigma application in more manufacturing space utilisation projects would be useful. This study has implications for identifying best practices for Design for Lean Six Sigma methodology application in the device industry, thus improving the state of the art for introducing new manufacturing lines.

This is the first published work to utilise Design for Lean Six Sigma methodology for space utilisation in a medical device company. This review will provide medical devices and other manufacturing organisations with recommendations on utilising Design for Lean Six Sigma and design for improved space utilisation to reduce costs.

High-tech start-up creation is associated with complex challenges originating from quick transformations in technologies and markets. To raise start-up survival and success chances, founders need to ensure a rapid conversion of a venture idea into a working business. This paper aims to explore how identity-related characteristics of founders influence the speed of the start-up creation process.

For this study, a longitudinal multiple-case-study design was selected to identify a vivid flow of decisions and actions taken by high-tech start-ups for analysis in depth. Over 20 months, a series of interviews were organized with founders of six start-ups located in the same business incubator in Russia. Also, a set of additional data sources was engaged, including publicly available data and internal documents provided by businesses.

The findings reveal contrasting dynamics of start-up creation processes among founders with differing role identities. Identity fit and identity misfit are suggested to be serious pull and push factors in the process of organizational becoming through the impact they have on the situational regulatory focus of founders.

The current research contributes to the entrepreneurship stream of research by extending the knowledge of how cognition affects the process of new venture creation.

Digital entrepreneurship is a highly topical, sub-specialist and contemporary branch of entrepreneurship which is providing ever-increasing range of platforms for pursuing entrepreneurship-related career options. While the academic discourses in this area are increasingly growing, there is an equal level of scant attention paid to inquire how proclivity toward this career choice is developed and influenced. In the present study, this gap has been addressed by identifying major antecedents of digital entrepreneurship intentions under the aegis of capital theory.

Using the survey data from 287 respondents, structural equation modeling was utilized to explore the association of four antecedents: digital entrepreneurial competence, innovative cognition, social media adroitness and digital entrepreneurship role models on the goal intentions. Subsequently the association between goal intention and implementation intention to start a digital venture was also examined.

The analysis confirms the significant impact of the identified antecedents on the digital entrepreneurial volition of potential entrepreneurs. Our results demonstrate that innovativeness has the greatest impact on the goal intentions to create new digital ventures followed by the presence of role models. Digital competence is also a significant contributor in enhancing the propensity to start digital ventures while being digitally adroit has the least impact on such inclination. Lastly, our study provides empirical evidence to the linkage between goal and implementation intentions.

This paper informs practice on entrepreneurship education especially the role of skill-based education programs to enhance the information technology–related knowledge of students and incubation support for hands-on-training on the various dimensions of digital ventures. At policy-level institutions providing entrepreneurial education can design special tasks and learning activities that are focused on acquainting students with design thinking perspectives and lean start-up approaches.

Digital technologies create myriad innovation opportunities and have inspired the establishment of many new start-ups in recent years. Despite the growing knowledge on digital entrepreneurship, few studies explore how start-ups exploit these opportunities to achieve entrepreneurial success. The purpose of this paper is to explore start-ups’ capabilities for successful delivery of digital artefacts in a cloud computing infrastructure.

Empirical data were collected during a qualitative case study of an established start-up in the Chinese market by interviewing 41 interviewees. Informed by the notion of dynamic capabilities and using the Gioia methodology, the case firm's life cycle was analysed in detail.

The study identifies start-ups’ ordinary and dynamic capabilities for successful development and delivery of digital services. The findings provide insights into a portfolio of start-ups’ capabilities, namely adaptation, networking, reengineering and refinement.

The study suggests that start-ups’ capabilities and underlying entrepreneurial actions determine the degree to which adoption of digital technologies create and transfer value to customers. The study offers specific insights into how start-ups successfully develop and deliver digital artefacts in a cloud infrastructure based on entrepreneurs' prior expertise, vision and accumulated experience.

Shortages of personal protective equipment (PPE) across the United States at the start of the COVID-19 pandemic created entrepreneurial opportunities for sewists and makers. In the United States in March and April 2020, masks were not readily available to the general public from existing retailers and PPE for medical use was being rationed for healthcare workers. Sewists and crafters, professionals and amateurs alike, began making and selling and/or donating masks. For individuals with sewing skills and time, sewing and selling masks became a lifeline financially, personally, and socially. To understand the experiences of people who made and distributed handmade masks during the early months of the pandemic in the United States, an interdisciplinary team developed an online cross-sectional survey instrument using a qualitative-dominated approach with both open and closed questions. This chapter explores themes identified from a sample of 94 participants, predominantly female-identifying, who created an enterprise or added a product line to an existing business. The sample includes individuals who did not identify as a ‘creative entrepreneur’ prior to the pandemic but did identify as an entrepreneur after starting a mask-making venture. Informed by entrepreneurship literature, the authors observed that these nascent entrepreneurs articulated recognisable motivations for social entrepreneurship, showed signs of pre-existing entrepreneurial mindsets, and employed business models and marketing tactics of entrepreneurs, largely without any business training. Implications for the study include increased recognition of latent entrepreneurial readiness, interest of women in social entrepreneurship, and higher levels of business knowledge among women than previously recognised.

This study aims to identify the development, trends and research gaps related to start-ups during the COVID-19 pandemic. Furthermore, this research identified future research directions.

This research is a bibliometric study using 192 Scopus-indexed articles with the assistance of the VOSviewer. The selected articles discussed start-ups during the COVID-19 pandemic and were published between 2020 and 2022. The analyses included initial statistics on publication trend, distribution of research field, most productive journals, most productive authors, most cited article, geographic distribution, multinational collaboration and science.

Between 2020 and 2022, the literature on start-ups during the COVID-19 pandemic has increased. Most articles are in Business, Management and Accounting, Economics, Econometrics and Finance and Social Sciences. Regarding geographic distribution and multinational collaboration, the USA, India and the UK led the numbers. The UK was also the forerunner in research collaboration. Based on the science mapping results, COVID-19, fintech, entrepreneurship and innovation were the most simultaneously used keywords. Furthermore, this study also identified that there is a lack of study regarding consumer behavior, employee behavior and quality management of start-ups during the COVID-19 pandemic.

This research also has several limitations. First, this research only used the Scopus database. Even though Scopus has advantages compared to other databases, combining the Scopus database with other databases will be able to provide more comprehensive data. However, there is a risk associated with combining two or more databases, namely, duplication. When using more than one database, researchers must ensure no repetition of the articles used because it will affect the analysis results. Future research can consider combining the Scopus database with other databases. Second, this bibliometric study covered the publication of start-ups during the COVID-19 pandemic. The COVID-19 pandemic is still ongoing. This condition indicated that several research on start-ups during COVID-19 are still being performed and will be published. Thus, future bibliometric study start-ups during COVID-19 were needed to update the trend of the research on start-ups during COVID-19.

The bibliometric study provided at least two main practical implications that can be used to support the growth of start-ups during the COVID-19 pandemic. First, this research has mapped the existing literature on start-ups during the COVID-19 pandemic. This information can be used as input for start-up practitioners and policymakers when they need scientific reference and evidence in developing a policy and/or a management action/program needed during the COVID-19 pandemic. Second, this research highlighted several clusters of keywords that are attracted many researchers. These keywords can be viewed as important issues that are needed to be monitored by start-up practitioners and policymakers during the COVID-19 pandemic.

Start-ups have an important role in economic development. It is well known that start-ups can boost productivity and economic growth. As start-ups tend to use technology, it also has an important role in disrupting traditional economic practices. Start-ups may also offer a more convenient life. Furthermore, the availability of start-ups may also increase the quality of life of the people that are serviced by the start-ups.

To the best of the authors’ knowledge, this is the first bibliometric study that discussed start-ups during the pandemic. It provided a comprehensive literature review process to identify research gaps that allowed future researchers to develop studies related to start-ups.

The study aims to provide insights in the sensemaking process and the use of business analytics (BA) for project selection and prioritisation in start-up settings. A major focus is on the various ways start-ups can understand their data through the analytical process of sensemaking.

This is a comparative case study of two start-ups that use BA in their projects. The authors follow an interpretive approach and draw from the constructivist grounded theory method (GTM) for the purpose of data analysis, whereby the theory of sensemaking functions as the sensitising device that supports the interpretation of the data.

The key findings lie within the scope of project selection and prioritisation, where the sensemaking process is implicitly influenced by each start-up's strategy and business model. BA helps start-ups notice changes within their internal and external environment and focus their attention on the more critical questions along the lines of their processes, operations and business model. However, BA alone cannot support decision-making around less structured problems such as project selection and prioritisation, where intuitive judgement and personal opinion are still heavily used.

This study extends the research on BA applied in organisations as tools for business development. Specifically, the authors draw on the literature of BA tools in support of project management from multiple perspectives. The perspectives include but are not limited to project assessment and prioritisation. The authors view the decision-making process and the path from insight to value, as a sensemaking process, where data become part of the sensemaking roadmap and BA helps start-ups navigate the decision-making process.