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This study was designed to detect the failures in Iranian accelerators. This paper attempts to identify these effects from the perspective of accelerator managers and founders of startups. The main goals of this article are as follows: (1) What are the failures of Iran's acceleration programs from the perspective of accelerator managers? (2) What are the failures of Iran's acceleration programs from the perspective of startup teams? (3) What are some of failures of the acceleration programs that both groups agree on?

It has been attempted to conduct semi-structured interviews with managers of corporate accelerators on the one hand and startups accelerated in these accelerators on the other. The interviewees were selected using snowball method and consisted of 9 accelerator managers out of 7 accelerators and 15 startups based on 5 accelerators. The analysis of the information extracted from the interviews and coding of the failure identified in the accelerators was performed using the thematic analysis method. In order to assess the validity of this study, an entrepreneurial doctoral student was asked to codify the interviews individually to compare the extracted codes.

Finally, 34 problems have been identified that are divided into four main themes related to mentorship, acceleration program, acceleration structure and infrastructure and internal startup team problems. Overall, the greatest agreement among the failures identified as wrong orientation by untrained mentors, the lack of complementary in ability and skills of team members, the lack of knowledge of mentors, the lack of acceleration managers in entrepreneurship and the lack of a proper leader in startup teams.

This study aimed to investigate the failures of corporate accelerators in Iran as a developing country, which is the first survey in Iran. We have many researches about the pathology and identify failures of accelerators, but in corporate accelerators, little research has been done. The authors have a classification of failures in corporate accelerators by using thematic analysis. In this study, accelerators' managers and founders of startups were interviewed and 34 failures were identified.

This study aims to investigate a startup accelerator’s decisions toward exerting effort in an information acquisition process and selecting an information disclosure strategy. In particular, the authors are interested in examining which factors may cause the accelerator to report more or less accurate information, which will subsequently affect the investment decision and the outcome of the ventures. This study examines the impact of the equity share taken by the accelerator on the effort level being exerted in the information acquisition process, as well as the accelerator’s decision on the information disclosure regime.

The authors use mathematical models built upon well-established theoretical and practical concepts to analyze the research problems and derive the findings.

The authors show that when the accelerator takes a sufficiently large equity share from the entrepreneur in exchange for admitting the entrepreneur’s venture into the acceleration program, the accelerator is motivated to exert a significant level of effort to observe an accurate signal for the quality of the venture, and then disclose the information about the venture’s quality consistently with the observed signal (informative disclosure regime). On the other hand, if the accelerator takes a small equity share, it is optimal for her to exert no effort in the information acquisition process and simply adopt the basic disclosure regime, where the accelerator reports the quality of the venture based solely on the ex ante expected payoff of the venture, regardless of the observed signal.

The results indicate that an equity sharing scheme, which awards a sufficient amount of equity to the accelerator, can be an effective tool to help obtain accurate information about the quality of a startup venture and make a well-informed investment decision.

This research illustrates that the ownership stake of the accelerator can potentially indicate the accuracy of the information about the venture provided by the accelerator to outside investors. That is, when the stake held by the accelerator is large, the investors can conjecture that the information about the venture reported by the accelerator may be highly accurate and reliable. In contrast, if the accelerator holds a small stake, then it is likely that the information provided by the accelerator may not add any value to the publicly available information. These insights can guide investors (e.g. angle investors, venture capitalists, etc.) in making well-informed startup investment decisions.

‘Acceleration’, that is, the performance of activities in ever-shorter periods of time, is a distinctive feature of contemporary organizations and societies that is reflected in, and driven by startups’ attempts to scale up their businesses in ever-faster ways. Although prior research has highlighted that temporary organizing is a key way to accelerate the startup process, little is known about how actors do so. Based on a one-year ethnographic study at a startup accelerator, the authors explore how actors enact temporary organizing to attempt to accelerate the startup process. Their analysis shows that this process involves a plurality of partly conflicting temporal structures. As their study shows, such conflicts invoke tensions that actors live out in their daily activities. The authors identify three temporal practices – sequencing, freezing, and merging – through which actors engaged in temporary organizing enact acceleration in the startup process by reconciling these temporal structures. Their study has implications for understanding time in the expanding literature on temporary organizing and acceleration.

The purpose of this paper is to examine how the instructions of the lean startup methodology influence entrepreneurs. It explores what happens when such instructions are enacted by entrepreneurs in the context of a “prescriptive accelerator”. The goal is to shine a light onto the mechanisms by which these instructions are acquired and then utilised by entrepreneurs and to outline in some detail the implications of adhering to the lean startup methodology.

This paper employs an in-depth phenomenological semi-structured interview design. Two rounds of interviews were conducted, one at the beginning and one at the end of the programme with the CEOs and founders of 11 entrepreneurial ventures, totalling 22 interviews. The analysis of the interviews resulted in five second-order themes that are discussed in light of the processes of experiential and vicarious learning.

The findings suggest that through two distinct modes of vicarious and experiential learning, the instructions of the lean startup methodology are acquired, internalised and consequently put into practice by entrepreneurs. The paper further highlights the modifications to entrepreneurs’ governing variables and action strategies, as well as the resulting consequences of these modifications. This provides insights into possible outcomes of following the lean startup methodology in the context of a prescriptive accelerator where a strong focus on adhering to a systematic entrepreneurial methodology is a characteristic feature.

This paper contributes to our understanding of the under-studied and novel phenomena of the lean startup methodology and prescriptive accelerators. It complements the prevailing understanding of entrepreneurial learning as being largely experiential by accounting for the vicarious learning processes that occur in pedagogical settings such as prescriptive accelerators. It therefore shows that prescriptive accelerators provide unique learning situations where the combination of vicarious and experiential learning impacts the business development activities. Further, it provides a model of entrepreneurs’ theory of action as the outcome of the interactions between the lean startup methodology and the two modes of vicarious and experiential learning.

The purpose of this article is to develop an integrative framework of accelerator design to answer the question of what activities accelerators perform and how they function within a structured framework. Research on the functioning of accelerators as a mechanism for startup engagement produced multiple empirical results. However, the comparability of relevant research is strongly limited, currently hindering theoretical developments. Existing accelerator design models often differ and only partially overlap, which leaves extant literature with a fragmented and discordant conceptual understanding.

Based on a meta-synthesis method using qualitative analysis of 36 accelerator design articles, an integrative framework is developed. After identification of relevant literature, a renowned method for extracting, coding and synthesizing data on individual and cross-study level is applied to identify accelerator design constructs. Eventually, identified accelerator design constructs are integrated into a framework resting on the activity system lens of business model design.

The article reconciles fragmented knowledge on accelerator design and shows how accelerator design can be holistically conceptualized by 32 key activities clustered in eight design dimensions. The framework is complemented by an initial guideline for measurement. The findings further highlight formerly disregarded aspects of governance and community formation from a processual and structural perspective.

This article is the first to present a comprehensive picture of accelerator design integrating multiple empirical findings of prior research into a single coherent framework. This framework offers a shared foundation for future research exploring the delineations, functioning and impact of accelerators. From a practical perspective, the article provides managers of accelerators a guide to design, review and improve programs according to their value creation goals.

The purpose of this paper is to explore the status of university accelerators (UAs) in Australia, expanding a similar paper on related entrepreneurship education (EE) in 2019. The aim is to review neoteric global best practice UA, aligning context and specific inference to the impact of UAs in Australia.

The authors introduce an iterative and emergent inquiry into multi-method research, including a quantitative examination of Australian UAs, Leximancer algorithmic analyses of entrepreneurial strategic intent and narratives from best practice applications.

The paper highlights the sparse and inconsistent distribution across UAs in Australia, further characterized by significant symbolic motives of operation. Furthermore, the integration of EE evidenced on global UA is not as evident in Australia, highlighting outcomes more specific to the success of nascent (student) startups as opposed to educational outcomes.

Limitations include the availability and accuracy of online documents and data, although implications have been mitigated using multi-method research design.

Despite the provision of critical grounding for practitioners and researchers in developing UAs, further research is recommended regarding the efficacy and impact of these accelerators.

This study is the first multi-methods emergent inquiry into UAs in Australia, coupled with integration of EE. The authors provide guidelines and inferences for researchers, educators, policymakers and practitioners alike as they seek to explore and act upon the impact of UAs.

To avoid wastage of resources of a startup accelerator, this paper aims to present a model for accelerator managers’ decision-making to enter startups into acceleration and initial capitalization using a fuzzy Delphi approach and an affinity diagram is one of the design thinking tools.

The high failure rate of startups has led to a waste of resources and a lot of capital. This failure rate is much higher in the early stages of startups and subsequently higher risk. This is where startup accelerators play a role in supporting startups and provide startups with the capital needed to accelerate. The point to note at this point is that choosing the team with the lowest success potential by the accelerators will eliminate their capital and energy. The purpose of this research is to avoid this wastage.

In this research, using the Fuzzy Delphi method and aggregation of opinions of 5 experts and managers of the acceleration field, additional criteria were eliminated and 35 criteria were considered as final criteria of the evaluation model. In the final stage, a 10-member committee of managers, specialists and faculty members was formed and the criteria were grouped using the affinity diagram method. Finally, the final model was presented considering the components of a business plan.

Using design thinking methods and a combination of that with a fuzzy and quantitative method is one of the contributions of this research. Also, making a model for selection startups in the acceleration stage of fundraising is another value of this research.

This paper aims to examine the experience of hub:raum, the accelerator program of Deutsche Telekom, to deduce potential success factors. In today’s fast-paced world, large companies strive to keep up with the disruptive changes in their markets brought by innovative startups. In face of these challenges, the paradigm of open innovation encourages firms to use internal ideas and external sources of knowledge to advance their innovation output (Chesbrough, 2003). Yet, in practice, this is much easier said than done, particularly when large firms engage in partnerships with startups.

This paper is based on interviews and academic collaboration with hub:raum.

From the five years of experience since the foundation of hub:raum, one of the first German corporate accelerators, the authors have seen five key success factors: transparent and aligned goals, an independent team of startup advocates, a large and committed external network, top-management backing, long-term objectives and performance indicators.

This paper is based on the case study of hub:raum. There are several limitations to this approach. Hub:raum has a clear industry focus in the information and communications technology industry and also acting international has a strong German and European focus.

Based on the identified five success factors, executives working with or designing accelerator programs can significantly increase the chances of success of these kind of programs. Constantly working on the right alignment of these factors with the overall objective of the incubator program is the key task of the management.

Designing and running corporate accelerator programs more successfully will also help to enable more startups to join forces with corporates, creating more jobs and developing successful product innovation.

The paper is based on working for five years closely with the hub:raum management, a series of interviews and longitudinal study of this specific accelerator program.

Business accelerators facilitate new venture creation, and most research on the subject focuses on the performance of accelerated ventures. This paper aims to understand what entrepreneurs value in business accelerators and how this differs for women- and men-led ventures. The authors suggest that venture growth stage may play a mediating role in these relationships.

The authors use the resource-based view perspective to develop models of women- and men-led ventures’ valuation for business accelerator services. They also draw upon a database of 2,000 US entrepreneurs.

The authors found that, compared to men, women entrepreneurs place greater value on knowledge transfer benefits (i.e. business skills education) but lower value on networking benefits offered by accelerators. However, there are no significant differences in the valuations for these services between genders for high-growth ventures. Additionally, compared to men, women leading high-growth ventures place greater value on access to potential investors or funders.

This research serves as a practical guide for accelerator administrators and marketers who seek to adjust their business support offerings based on the value placed for the services by different populations of entrepreneurs.

The authors provide a business accelerator user’s perspective and highlight differences in valuation of accelerator services by women- and men-led ventures at different stages of venture growth.

Startups are associated with innovation, emerging technologies, digitalization and disruptive business models. This article aims to provide a better understanding of startups in logistics and supply chain management, organizes the contemporary discussion around startups in the supply chain ecosystem and outlines opportunities for future research.

This study draws on the prior supply chain, logistics and entrepreneurship literature and discusses key themes along the six identified startup issues. Furthermore, it proposes several perspectives and theories for grounding future research.

This study discusses the roles and success factors of startups in the supply chain ecosystem. It lays out how startups need to organize their own supply chains, how supply chain management (SCM) startups incubate and accelerate their ventures, the financing of SCM startups, as well as their positions as service providers, suppliers and customers.

This research brings together the sparse and dispersed literature on startups in the supply chain ecosystem, motivating scholars to increase the involvement of startups as important stakeholders in SCM research.