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Blockchain technologies have pervaded modern crowdfunding and capital sourcing through a variety of financial instruments implemented as smart contracts. Smart contracts provide a unique mechanism not only to create a unique one-of-a-type financial instrument, but also to enable unique innovations atop existing financial instruments due to underlying efficiencies. The smartness comes from the flexibility that programs provide which can create extremely unique financial instruments that are often complex to implement, yet easy to create, maintain through versioning, trade and destroy. The purpose of this paper is to describe the security token architecture as an application of smart contracts. Further, the author illustrates the implementation and design of a commonly used financial instrument known as Simple Agreement for Future Equity (SAFE) using the security token architecture proposed and smart contract functionality. The author then models the transaction using relational algebra, and, models the utility maximization. The author shows how on account of reduced information asymmetry between the investors and SAFE users (i.e. startups) utility is positive when smart contract-based security tokens are deployed for each state in the SAFE contract.

Using an existing well-adopted instrument called a SAFE contract, the author illustrates the architecture of a smart contract-based security token system. The author illustrates how different components of a SAFE contract can be implemented as a smart contract and discusses the advantages and disadvantages of applying blockchain-based smart contracts to design SAFE instruments. The author deploys two methods: a state space diagram to explain state transitions and a utility model to explain the utilities.

The key findings of this research study are the design of a security token architecture, which can be used to convert any the physical or contract-based financial instrument to a smart contract that runs on the blockchain. However, there are limitations to the implementation of the same which can be overcome. The model illustrates the positive utilities derived for all economic actors, i.e. the contractors, the utility providers, etc., in the market.

This paper is an original paper. For the very first time, the author explored the architecture of a security token system. Using a well-known financial instrument, namely the SAFE, the author describes various components, e.g. the four contracts that form SAFE and then model the utilities for the system.

This study aims to explore Accelerators and their practices in sustaining start-ups within their innovative programs for these companies based on the resource-based perspective. Moreover, with an ever-increasing demand for Accelerators amongst start-up companies, this study also demonstrates the importance of Accelerators, as it pertains to new venture creation.

This research uses an exploratory case study approach to examine a comparative view of leading Accelerator companies in the USA and Korea based on resource support.

The results of this study show that there are a number of differences between Accelerators of the two countries in terms of the resources they support for early-stage start-ups. The findings also show some similarities. However, in Korea, the Accelerator landscape is limited, where mentorship, resources and investments are not readily accessible, resulting in low success rates for Korean start-up companies. These limitations have had a negative trickle-down effect when providing entrepreneurs with strong access to resources and investors, which highly affects the success rates of early-stage start-ups.

In terms of the resource-based theory, this study contributes to the growth of early start-ups by emphasizing the role of the accelerator and suggesting the extent and impact that entrepreneurs have access to resources and investors.

With significant growth in start-ups around the world, the necessity for start-up funding and mentorship has increased drastically. Start-up companies need various types of assets, systems, knowledge and information to achieve their goals. In Accelerators, start-ups receive all the aforementioned resources while also improving their entrepreneurial skills. Start-up companies have many options in seeking investors who support both tangible and intangible resources to boost growth. While there is a wealth of information on traditional funding methods, there are few studies that shed light on the role of Accelerators from the resource-based point of view.

This study aims to explore the internationalization trajectory of emerging country digital economy ventures by specifically concentrating on how ambidexterity facilitates international market expansion. Further, this paper examines how these ventures develop dynamic capabilities by using their ambidextrous skills in the entrepreneurial ecosystem (EE).

This study adopts a multiple-case research design where data were gathered from five digital economy ventures in Turkey, serving an international array of customers.

The analyses reveal that, to a large extent, internationalization is enabled by the extensive use of ambidextrous skills in the ecosystem domain. We found evidence for practicing exploration and exploitation while interacting with several ecosystem pillars grouped as founder-related, firm-related and business context-related factors. These interactions portray how ventures sense, seize and transform resources to support their international expansion.

This study extends the current literature on internationalization by discussing the role of ambidexterity as a dynamic capability. The findings also demonstrate the EE as a construct to explain international entrepreneurial activity. Further, the study extends the existing literature by considering the calls for research on dynamic capabilities of international new ventures (INVs). Finally, the findings point to several implications both for practitioners and policymakers.

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.

This paper aims to understand empirically how shares of standard and premium private label (PL) products affect a retailer’s marketing mix decisions toward national brands (NBs).

Using a comprehensive store-level data set covering 52 categories and 130 stores of two retailer chains during 2003-2009, this paper examines how shares of standard and premium PLs affect retailer marketing strategies for NB retail prices, promotions and product assortments. The empirical analysis uses a simultaneous equations model estimated by the generalized method of moments approach and controls for endogeneity between PL shares and NB decisions and potential confounding variables including consumer, manufacturer and retailer factors.

Standard PL shares are associated positively with NB retail prices and negatively with NB promotions and assortments. In contrast, premium PL shares are associated positively with NB retail prices, promotions and assortments.

The results indicate that retailers make strategic NB decisions through multitier PLs. Specifically, the evidence suggests that retailers use standard and premium PLs differently in promotion and assortment decisions toward NBs. NB manufacturers need to be cognizant of the increasing marketing power of retailers through their multitier PLs.

Prior research has mainly focused on the role of PLs as a strategic weapon to gain power in the channel and its impact on NB pricing decisions in a single PL context. After accounting for potential confounding factors (retailer, consumer and manufacturer) and endogeneity, the authors find empirical evidence that retailers appear to leverage standard and premium PLs differently in some marketing mix decisions toward NB. In particular, the results reveal PL performance to be a determinant of retailer NB assortment decisions.

The purpose of this study is to answer the following questions. What kind of entrepreneurial identities do students have that motivate them to choose either of the entrepreneurship course and university-based incubator? How do students involve in the entrepreneurship ecosystem at university based on their entrepreneurial identity?

For this study, the author began to gather information using previous knowledge and any aspect of a work, namely, from the literature review to represent interpretive syntheses of the meaning-making literature review addressing the research question.

This study suggests what happens to entrepreneur students from academia and the reason that they end up in one of the two aforementioned paradigms. This paper aims to underpin the issue of how various entrepreneurial identities of students cause substantial contributing factors in forming such entrepreneurial activities at university and throughout the entire innovation ecosystem.

Almost all of the content of the entrepreneurship education (EE) courses and incubator training is oriented towards consensual entrepreneurship methods, in accordance with entrepreneurship education. Although the core contents of the EE courses and university-based incubators’ training are the same, the outcomes are quite different.

This study considers the students’ entrepreneurial identities with a focus on their point of view that led them to end up in one of the two common entrepreneurship resources at universities: the EE course and entrepreneurial activities related to university-based incubators.

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.

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.

Seed accelerators (SAs) appear as a more advanced version of business incubators. These for-profit organizations in exchange of equity, help setting new start-ups by providing mentoring and funding during its first months. Due to their emergent nature, the impact and expectations of SAs remains largely unknown. Therefore, the purpose of this study is to throw new light on this field by empirically assessing for the first time the performance and prospects of these organizations through a survey of 116 SAs.

A model based on the Business Incubators literature is built with four categories covering size, location, age and profitability variables, leading to two hypotheses to be tested empirically over a survey of 116 SAs.

Some remarkable findings arise after implementation of both bivariate and multivariate analysis. The results confirm a higher size and performance in the US and in the oldest SAs at statistically significant levels.

The study is not free from limitations but the findings make a contribution to the still scarce existing literature on SAs, and provide some managerial implications to their stockholders, to investors and to entrepreneurs.

The findings concerning performance indicators are especially helpful for investors, primarily concerned with the percentage return on investment factor, the period and the investment rounds needed to achieve exit. Another key issue is the SA's role as an employment seedbed. At first glance, the amount of employment, both overall and per company, might seem small given the young age of these firms. The impact of SAs on the generation of new employment is difficult to measure as it usually takes place in further stages of development of the tenant companies, the so-called scale-up process. Nonetheless, at present, the number of new companies being born is remarkable and, in terms of employment, the results are indeed promising. Our findings also offer important implications for entrepreneurs, venture investors and policy-makers. To entrepreneurs, our findings offer insight on the expectations to hold in the accelerator programs.

For policy-makers and would-be accelerator founders, our results support the idea shared in the literature that accelerators can be an effective entrepreneurial intervention, even in small entrepreneurial ecosystems, compared to the strongest entrepreneurial hubs (Hallen et al., 2017).

SAs are a very recent phenomenon which is blooming all over the world, especially in developed countries. SAs are therefore considered a key agent in the prospects of any entrepreneurial ecosystem. However, no studies have so far analysed the impact and performance of this emerging instrument. This is precisely the main purpose of this paper, to offer for the first time an approximate and exploratory assessment on the impact and prospects of SAs, based on a database.

種子促進中心，以企業孵化中心的更高級版本的形態出現。這些營利組織、在企業剛開始營運的首數個月內提供指導及資金，以換來股權。由於種子促進中心是從未有過的，故其影響及人們寄予的期望大致仍為未知之數。因此，本研究旨在這範疇內提供新的知識，以實證方法，透過調查116間種子促進中心，首次對這類組織的表現及前景進行了評估。

研究人員根據關於企業孵化中心的文獻建立了一個模型，內容包括四個範疇，﹔涵蓋的變量為：規模大小、地域位置、經營年期及盈利狀況。這模型提供了兩個以實證方法、透過調查116間種子促進中心來進行驗證的假設。

透過進行二元及多元分析取得卓越的研究結果。研究結果確認了在美國的種子促進中心及歷史最悠久的種子促進中心在統計意義上顯著地呈較具規模及表現更佳。

本研究不是沒有局限的。唯研究結果為現時在種子促進中心方面的探討仍稀少的文獻提供了貢獻，亦為種子促進中心的股東、投資者及企業家提供了管理方面的提示。

與表現指數相關的研究結果對投資者尤為有用。他們主要的關注是投資因素的回報率，進行轉讓所需的時間及籌集投資總額。另一主要問題是種子促進中心作為就業苗床所扮演的角色。乍看之下，如考慮到這些公司短暫的歷史，無論整體的就業數量、或是以每間公司計算的就業數量都看似微小。種子促進中心在製造新工作方面的影響是難以量度的。這是因為新工作的產生通常出現在租戶公司發展的進一步階段內, 這就是所謂放大過程。但目前誕生的新公司的數目另人注目。而且, 以就業方面來說，效果實在是相當不錯的。我們的研究結果也為企業家、風險投資者及政策制定者提供重要的暗示。對企業家而言，我們的研究結果為他們就促進中心方案應持甚麼期望提供了啟示。

對政策制定者及未來的促進中心始創人而言，我們的研究結果支持文獻所說：促進中心、與最強大的企業樞紐比較之下，即使是在細小的企業生態系統裏，可以是有效的企業介入 (哈倫等人,2017)(Hallen et al., 2017) 。

種子促進中心是一個頗為近期才出現的現象。這現象在全球興盛起來，特別是在發達國家。因此，種子促進中心被認為是可為任何一個企業生態系統帶來前景的主要媒介。唯至今仍未有分析這新興工具的影響及表現的研究。這正正就是本研究的主要目的，就是首度根據一個數據庫，為種子促進中心的影響及前景提供一個適當和探索性的研究。