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In pursuit of socio-economic growth, scholars and policymakers in emerging economies continues to show interest in understanding technology-based start-up (i.e. tech start-up) emergence, to help mitigate persistent failure experienced during commercialization. Howbeit, some scholars lamented that extant studies that investigated tech start-up emergence are mostly fragmented, because they focus on specific event/sub-process in tech start-up gestation. Thus, this study aims to conduct a systematic literature review to discover, harmonize and develop a framework that describes the interaction among varying dimensions of events/sub-processes that characterizes tech start-up emergence in an emerging economy.

To conduct this study, the authors engaged a concept-centric systematic literature review. Having developed a search protocol, the authors searched through information systems database, and other relevant discipline databases, to select relevant articles for review.

The systematic review revealed various dimensions of events (i.e. opportunity discovery and selection, team formation and domain consensus, bootstrapping and the development of minimum viable product and market experimentation feedback) that are critical to tech start-up emergence. Most prior studies are isolated, as they focus their investigation on specific event. Thus, from this review, the authors developed a framework harmonizing various dimensions of events characterizing emergence of a viable tech start-up.

The researchers conducted this study in response to lingering call for harmonized study that provides in-depth description of how different dimensions of events interact and characterize tech start-up emergence. Consequently, the study resulted in a descriptive framework. Furthermore, the findings highlight some practical implications and proposes new study directions as future research agenda for scholars interested in tech start-up emergence.

Uncertainty in the early development of digital business startups can benefit from data-driven testing of hypotheses. Startups face uncertainty not only in product development, but also over the structure of the business model and the nature of the customer or market to address. The authors conceptualize a new model, the Lean Discovery Process (LDP), which focuses on market-based testing from the early business idea through to fully realized product stages of an innovation. The purpose of this paper is to highlight a methodology to help digital business reduce uncertainty and apply lean principles as early as possible in the development of a business concept.

Examining literature in lean startups, lean user experience and lean software development, the authors highlight underlying assumptions of existing lean models. The authors then examine the LDP using the case of raiserve, a social entrepreneurship startup that focuses on the management of cause-based voluntary service.

Existing literature focuses on product development against an assumed customer base. Early hypothesis testing can be applied to business concept development to substantially reduce cost and time to market.

Further investigation of different forms of uncertainty in digital startups can open up opportunities to further apply lean methodologies. A more extensive empirical study to measure the potential impact is warranted.

The authors conceptualize the minimum viable customer and support early testing with concepts from market research and collective intelligence. The authors demonstrate early opportunities to apply lean principles and rigorous hypothesis testing in an LDP that results in significant reductions in time and expense of product development.

The case fosters discussions on basic concepts of entrepreneurship that include building a minimum viable product before launching a finished product, the importance of doing market research for early-stage startups, challenges in understanding an unfamiliar domain or industry and understanding the dynamics of business to business market.

Team Arnetta’s founders were interviewed in relation to the case. After the initial round of interviews, a product demonstration was given by Arnetta. Follow up interviews were conducted to delve-deeper into the problem while secondary research was conducted to understand the market dynamics and competitive landscape at the point in time in the case.

The four founders of Arnetta Technologies debate go-to-market timing for Integrated Breeding and Research Management Software, a data handling software for the R&D process followed by seed enterprises in India. The founders had spent over US$75,000 on the product development on which they had been working for more than one year. Two of the founders had given up their full-time jobs to work dedicatedly on the venture. The product was being customized to the requirements of their only client. Product development was taking longer than anticipated. To add to the challenges, international competitors had started capturing the Indian market. The founders had two options. First, they could wait and finish the product development before reaching out to their prospective clients – leading to delays and losing out on the market. Second, they could reach out to prospective clients and convince them to use the work-in-progress version of the product – which could turn out to be a deal breaker. The founders had to come to a consensus soon.

The case is intended for students in undergraduate or graduate-level courses related to entrepreneurship, new venture creation, innovation management and business management.

Customer value is the key to successful innovation management. This task is considered complex and abstract. For this reason, several models have been proposed to that end, among them, Lean approaches. Lean's background has been applied to value identification, providing many benefits. This paper aims at analyzing the practices employed to identify customer value through Lean approaches.

Through a systematic literature review, the main Lean practices for customer value identification were categorized based on five main streams: (1) customer development, (2) customer value, (3) lean product, (4) lean start-up, and (5) lean innovation. These practices were organized into a framework that addresses value identification based on ideation, value prospection, requirements, construction and measurement, and value delivery.

In total, 33 practices were found to support capturing the value from the customer's perception. Additionally, a discussion is provided on the complementarity and differences between practices.

A framework is proposed to integrate the five streams and the corresponding practices for value identification. The results provide mechanisms that can benefit practitioners to better understand the value demanded by customers during innovation management. In fact, practitioners can use the proposed framework to identify value to customers in a holistic way. Academically, the results gather research on customer value and innovation management to contribute with a novel artifact for customer value identification in operations management using Lean approaches. Finally, a future research agenda on value identification is proposed.

This paper aimed to describe and analyze the contents and methodologies of entrepreneurship education in undergraduate courses in higher education institutions in Brazil.

The teaching plans of 113 undergraduate entrepreneurship courses were surveyed and reviewed. Data were subjected to descriptive and content analyses.

Courses are offered by public and private universities in Brazil in 56 undergraduate programs in several fields. Lectures are among the main teaching methodologies employed, being mentioned in 98% of the teaching plans analyzed. There is a broad use of active methodologies. About 75% of the contents covered in the courses refer to declarative knowledge of basic concepts and theories and enterprises creation and management skills. The survey showed that 50% of the teaching plans addressed content related to business modeling, and only 18% of these mentioned the use of business model canvas. In addition, contents such as prototyping, minimum viable product, design thinking and pitch are mentioned in less than 20% of the teaching plans analyzed.

The article contributes to the advancement of the entrepreneurship education theory as it presents a new way to classify the contents of entrepreneurship courses, in light of educational theories, using learning taxonomies. It identifies the main contents, resources, methodologies, evaluation methods and bibliographies used in undergraduate entrepreneurship courses in Brazil. Moreover, it is the very first article that analyzes this number of teaching plans in Brazil with these categories of analysis. In practical terms, the article contributes to improve the entrepreneurship courses offered.

The chapter provides a practical guide to identify and define different funding sources for entrepreneurial and innovation endeavors, including a methodology to describe return on investment expectations from funding sources. Also, the authors provide recommended key performance indicators and valuation methods when pitching to potential investors.

The purpose of this paper is to explore the interplay between firm boundary decisions and the management of both efficiency and flexibility and the implications this has for modular design in the provision of advanced services.

A single case study in the defence industry employs semi-structured interviews supplemented by secondary data. Data are analysed using thematic analysis.

The findings provide a process model of boundary negotiations for the design of efficient and flexible modular systems consisting of three phases; boundary ambiguity, boundary defences and boundary alignment.

The study provides a process framework for boundary negotiations to help organisations navigate the management of both-and efficiency and flexibility in the provision of advanced services.

Drawing upon modularity, paradox and systems theory, this article provides novel theoretical insight into the relationship between firm boundary decisions and the management of both-and efficiency vs. flexibility in the provision of product upgrade services.

The purpose of this practitioner paper is to explore whether the principles of Design Thinking and the Lean Startup could be employed in developing a disruptive model for delivering educational programs within higher education in a way that attempts to eliminate the multitude of problems facing this industry, while simultaneously adhering to the principles of frugal innovation and meeting relevant sustainability goals.

The authors followed a design thinking approach, employing tools such as empathy mapping, customer journey, value proposition and semi-structured interviews to obtain a deep level of understanding of the problems educators and students within the context of entrepreneurship education are facing. Throughout the process they drew on the practice of emergent inquiry and customer co-creation to help guide decision making.

The authors successfully derived a conceptual solution in the form of a Minimum Viable Product of which the features were tested against the multitude of user needs and requirements. It was possible to demonstrate how the solution meets all nine of the requirements for frugal innovations while simultaneously adhering to applicable sustainability principles.

The proposed solution offers a potential opportunity to first-movers in chosen academic disciplines to become leaders in online education.

Even in an industry such as higher education there is a dire need for frugality and finding sustainable solutions for educators and students in both developed and developing markets. With this paper the authors succeed in presenting innovative combinations of digital artefacts, platforms and infrastructure to arrive at a novel crowd-sourced solution that is unique in its design.

This study seeks to break the current paradigm that Scrum, as an agile framework, is only applicable for information technologies (IT) projects and to confirm the feasibility of its application in the construction sector.

The rehabilitation of a shopping mall in Piura (Peru) is used as a case study to implement Scrum in a construction project. In addition, a thorough literature review is performed to establish the state-of-the-art and practice in this field and set the foundation of the elements applied during the case study.

The results of this study show the great versatility of Scrum in the construction sector. The key findings include a reduction of the construction duration that provided value to the owner, flexibility for the inclusion of changes (induced by the client or by the complexity of the context in which the project is developed), risk control in high uncertainty scenarios and general satisfaction for all stakeholders.

The waterfall or traditional management methodologies are not always effective in construction projects, and their application depends on the features and complexity of the environment in which they are developed. This study provides a case study showing the application of Scrum in the construction industry. The positive results obtained from the application can be used by researchers and practitioners looking to incorporate Scrum (or other agile tools) to enhance the management of construction projects.