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1 – 10 of 319Anthony Tibaingana, Kasimu Sendawula, Faisal Buyinza, Saadat Nakyejwe Lubowa Kimuli, Emmanuel Ssemuyaga, Catherine Tumusiime, Ronny Mulongo and Rita Atukwasa
The purpose of this study is to establish whether all the dimensions of entrepreneurship skills matter for sustainable business start-up among the youths, using evidence from a…
Abstract
Purpose
The purpose of this study is to establish whether all the dimensions of entrepreneurship skills matter for sustainable business start-up among the youths, using evidence from a developing economy.
Design/methodology/approach
This was cross-sectional study which utilized a quantitative approach. Data were collected using a self-administered questionnaire from 254 youths who undertook skills training at the various government-supported business skills training centers in the Greater Kampala Metropolitan Area (GKMA), that is to say, Kampala, Mukono and Wakiso. Data collected were analyzed using the Statistical Package for the Social Sciences (SPSS) to derive descriptive, correlational and hierarchical regression.
Findings
Study findings indicate that unlike entrepreneurial skills, management, technical and personal maturity skills matter for the sustainability of business start-up of youths in Uganda. However, when all skills are compared, management skills matter most as compared to technical and personal maturity skills.
Originality/value
This study strengthens the existing literature on the sustainable business start-up of youths in Uganda. It is also relevant for policy decision-making and policy reversal because it demonstrates that skilling is pertinent and should be encouraged and rolled out across the country to encourage sustainable youth business start-ups. To increase sustainable business start-up among youths, management skills should be prioritized, together with technical and personal maturity skills, compared to entrepreneurial skills, which should only be emphasized at the idea generation, planning, resource mobilization and business implementation stages.
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Iwan Iwut Tritoasmoro, Udisubakti Ciptomulyono, Wawan Dhewanto and Tatang Akhmad Taufik
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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 limitations/implications
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.
Practical implications
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.
Social implications
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.
Originality/value
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.
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Arsalan Safari, Vanesa Balicevac Al Ismail, Mahour Parast, Ismail Gölgeci and Shaligram Pokharel
This systematic literature review analyzes the academic literature to understand SC risk and resilience across different organizational sizes and industries. The academic…
Abstract
Purpose
This systematic literature review analyzes the academic literature to understand SC risk and resilience across different organizational sizes and industries. The academic literature has well discussed the causes of supply chain (SC) risk events, the impact of SC disruptions, and associated plans for SC resilience. However, the literature remains fragmented on the role of two fundamental elements in achieving SC resilience: the firm's size and the firm's industry as firms' contingent factors. Therefore, it is important to investigate and highlight SC resilience differences by size and industry type to establish more resilient firms.
Design/methodology/approach
Building upon the contingent resource-based view of the firm, the authors posit that organizational factors such as size and industry sector have important roles in developing organizational resilience capabilities. This systematic literature review and analysis is based on the structural and systematic analysis of high-ranked peer-reviewed journal papers from January 2000 to June 2021 collected through three global scientific databases (i.e. ProQuest, ScienceDirect, and Google Scholar) using relevant keywords.
Findings
This systematic literature review of 230 high-quality articles shows that SC risk events can be categorized into demand, supply, organizational, operational, environmental, and network/control risk events. This study suggests that the SC resilience plans developed by startups, small and mdium-sized enterprises (SMEs), and large organizations are not necessarily the same as those of large enterprises. While collaboration and networking and risk management are the most crucial resilience capabilities for all firms, applying lean and quality management principles and utilizing information technology are more crucial for SMEs. For large firms, knowledge management and contingency planning are more important.
Originality/value
This study provides a comprehensive review of the literature on SC resilience plans across different organizational sizes and industries, offering new insights into the nature and dynamics of startups', SMEs', and large enterprises' SC resilience in different industries. The study highlights the need for further investigation of SC risk and resilience for startups, SMEs, and different industries on a more detailed level using empirical data. This study’s findings have important implications for researchers and practitioners and guide the development of effective SC resilience strategies for different types of firms.
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Entrepreneurial trait and behaviour approaches are used to identify differing entrepreneurial profiles. Specifically, this study aims to determine which entrepreneurial…
Abstract
Purpose
Entrepreneurial trait and behaviour approaches are used to identify differing entrepreneurial profiles. Specifically, this study aims to determine which entrepreneurial competencies (ECs) can predict entrepreneurial action (EA) for distinct profiles, such as male versus female, start-up versus established and for entrepreneurs within different age groups and educational levels.
Design/methodology/approach
The research was conducted using a survey method on a large sample of 1,150 South African entrepreneurs. Chi-squared automatic interaction detection (CHAID) algorithms were used to build decision trees to illustrate distinct entrepreneurial profiles.
Findings
Each profile has a different set of ECs that predict EA, with a growth mindset being the most significant predictor of action. Therefore, this study confirms that a “one-size-fits-all” approach cannot be applied when profiling entrepreneurs.
Research limitations/implications
From a pedagogical standpoint, different combinations of these ECs for each profile provide priority information for identification of appropriate candidates (e.g. the highest potential for success) and training initiatives, effective pedagogies and programme design (e.g. which individual ECs should be trained and how should they be trained).
Originality/value
Previous work has mostly focused on demographic variables and included a single sample to profile entrepreneurs. This study maintains much wider applicability in terms of examining profiles in a systematic way. The large sample size supports quantitative analysis of the comparisons between different entrepreneurial profiles using unconventional analyses. Furthermore, as far as can be determined, this represents the first CHAID conducted in a developing country context, especially South Africa, focusing on individual ECs predicting EA.
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Sha Xu, Xiaojie Wu, Jie He, Renhong Zhu, Alastair M. Morrison and Cheng Xie
Although it is acknowledged that entrepreneurial networks play a crucial role in fostering business model innovation (BMI) for start-ups, it is unclear how and when these networks…
Abstract
Purpose
Although it is acknowledged that entrepreneurial networks play a crucial role in fostering business model innovation (BMI) for start-ups, it is unclear how and when these networks affect BMI. This research developed a moderated mediation model to explore the impact of entrepreneurial networks on BMI in start-ups and examined the dual mediating effects of causation and effectuation, as well as the moderation of environmental dynamism.
Design/methodology/approach
The proposed framework was tested by hierarchical regression analyses and bootstrapping using samples of 248 start-ups in China.
Findings
The results showed that entrepreneurial networks significantly positively impacted start-up BMI. Causation and effectuation played dual mediating roles between entrepreneurial networks and BMI. Furthermore, the entrepreneurial networks-effectuation-BMI association was more substantial in highly dynamic environments, whereas the entrepreneurial networks-causation-BMI relationship was unaffected.
Research limitations/implications
There are several theoretical contributions resulting from this research. The findings offer new insights for understanding the antecedents of start-up BMI from the network perspective. This research adds to the growing literature on resource orchestration (RO) by exploring the dual mediating influences of causation and effectuation in resource management. This investigation revealed the boundary condition between entrepreneurial networks and BMI by testing the moderating influence of environmental dynamism.
Practical implications
Start-ups must effectively use external resources embedded within networks to advance BMI. Start-up entrepreneurs should apply causation and effectuation to transform entrepreneurial network resources into BMI. Start-up entrepreneurs must dynamically manage resources in response to ever-changing environmental conditions. Resource acquisition and management of entrepreneurial networks can vary significantly in their influence on start-up BMI under different environmental contexts.
Originality/value
Unlike previous BMI research focused on internal organizational factors, this study highlighted the critical importance of entrepreneurial networks as a prerequisite for achieving start-up BMI, contributing to the literature on open innovation and resource-based view. Examining the dual mediating roles of causation and effectuation illustrated the bridging role of strategic decision-making logic in connecting resources to value creation, contributing to the developing RO literature. The moderating influence of environmental dynamism was explored, clarifying how start-up BMI benefits from entrepreneurial networks in differing situations. A framework for reconciling contradictory findings concerning the association between entrepreneurial networks and innovation is provided.
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Samer Abaddi and Moh'd Anwer AL-Shboul
Digital entrepreneurship is the key to economic survival and the lantern of jobs in developing countries. The debate about the challenges facing early digital entrepreneurs (DEs…
Abstract
Purpose
Digital entrepreneurship is the key to economic survival and the lantern of jobs in developing countries. The debate about the challenges facing early digital entrepreneurs (DEs) in developing countries is still ambiguous. This study attempts to fulfill the gap with an in-depth examination of Jordan.
Design/methodology/approach
Referring to a digital start-up database hosted by the Ministry of Digital Economy and Entrepreneurship in Jordan, the study interviews a random sample of (n = 45) early (less than one-year seniority) DEs. Thematic analysis is carried out facilitated by NVivo 20 software. E-Commerce, agriculture technology, data and artificial intelligence and entertainment were at the top of the interviewed start-ups.
Findings
Nine challenges were observed, critically analyzed and discussed. The challenges are (1) the lack of realistic funding in terms and guarantees; (2) the negligence of guidance and advisory of incubators and entrepreneurship centres; (3) the emergence of unexpected risks; (4) the stringent economic situation; (5) competition; (6) legal and legislative obstacles; (7) obstacles to accessing markets; (8) team management and finally (9) disorganization in the entrepreneurial environment. The study sets recommendations to support early DEs in their journey.
Practical implications
This study highlights the significant implications for aspiring DEs by focusing on some challenges that might face their start-ups such as institutional, technology and local dimensions of context and measures to develop the entrepreneurial and digital competencies. This includes sustainable funding, poor direct guidance and advisory, unexpected failures/risks, and economic obstacles. This study might be considered a road map for the decision-makers to build their strategies for eliminating the main barriers for early DEs and start-ups.
Originality/value
Although recent literature discussed the challenges of entrepreneurs in Jordan, this is the first that identifies early DEs’ challenges and uses 45% samples of the community.
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Sonika Jha, Anil Kumar Singh and Sriparna Basu
The purpose of this paper is to provide a systematic review of literature on corporate engagement with start-ups (CEWS) by identifying the modes, contexts, antecedents, barriers…
Abstract
Purpose
The purpose of this paper is to provide a systematic review of literature on corporate engagement with start-ups (CEWS) by identifying the modes, contexts, antecedents, barriers and outcomes. As an emerging field, CEWS presently has no such review available which will help in building consensus within the field and shape future research directions.
Design/methodology/approach
The study followed a two-phased systematic review of literature. Three research databases (i.e. Web of Science, ScienceDirect and SCOPUS) were accessed to gather and conduct the review. Of the total 379 papers retrieved, 63 total relevant papers were studied and analysed. The exhaustive review of literature helped to uncover the contexts, perspectives, antecedents, outcomes and barriers reported across the different modes of CEWS.
Findings
The study highlighted the five prominent modes of CEWS favoured by large corporations and start-ups. It found that the large corporations and start-ups associate with one another on the basis of complementarities of activities, resources and motives to pursue their strategic orientations. The engagements also face barriers on the ground, such as incompatibility of goals, power imbalances, cultural differences and weak engagement plans. Most important contexts seen were the high-technology industries in the developed economies like the USA and Europe. It also found that ecosystem creation, accessing innovation and corporate strategy have been preferred as the most productive modes of CEWS in the literature.
Practical implications
This review provides practitioners with a detailed list of the modes and drivers of CEWS. Subsequently, the barriers that need to be managed to successfully execute a specific mode of engagement. This shall enable the practitioners in developing and adopting the best practices while engaging with the start-ups to better facilitate the outcomes of CEWS.
Originality/value
To the best of the authors’ knowledge, there is no systematic literature review available in the domain of CEWS – thus, this study makes an important methodological contribution to the field. By consolidating the fragmented yet growing knowledge on CEWS, the study presents a detailed understanding of what drives and obstructs the engagement between large corporations and start-ups.
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Efpraxia D. Zamani, Anastasia Griva, Konstantina Spanaki, Paidi O'Raghallaigh and David Sammon
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…
Abstract
Purpose
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.
Design/methodology/approach
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.
Findings
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.
Originality/value
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.
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In this chapter, we apply APPNIE to two case studies, BIOerg srl and LiMiX srl, which are innovative start-ups born in the Marche Region in Italy. The choice to analyse two…
Abstract
In this chapter, we apply APPNIE to two case studies, BIOerg srl and LiMiX srl, which are innovative start-ups born in the Marche Region in Italy. The choice to analyse two companies in the same region is based on the fact that the surrounding ecosystem of innovation and entrepreneurship has a strong impact on the birth and subsequent development of innovative start-ups. Using these two case studies, this chapter shows the differences between SWOT and APPNIE analyses.
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Satyajit Mahato and Supriyo Roy
Managing project completion within the stipulated time is significant to all firms' sustainability. Especially for software start-up firms, it is of utmost importance. For any…
Abstract
Purpose
Managing project completion within the stipulated time is significant to all firms' sustainability. Especially for software start-up firms, it is of utmost importance. For any schedule variation, these firms must spend 25 to 40 percent of the development cost reworking quality defects. Significantly, the existing literature does not support defect rework opportunities under quality aspects among Indian IT start-ups. The present study aims to fill this niche by proposing a unique mathematical model of the defect rework aligned with the Six Sigma quality approach.
Design/methodology/approach
An optimization model was formulated, comprising the two objectives: rework “time” and rework “cost.” A case study was developed in relevance, and for the model solution, we used MATLAB and an elitist, Nondominated Sorting Genetic Algorithm (NSGA-II).
Findings
The output of the proposed approach reduced the “time” by 31 percent at a minimum “cost”. The derived “Pareto Optimal” front can be used to estimate the “cost” for a pre-determined rework “time” and vice versa, thus adding value to the existing literature.
Research limitations/implications
This work has deployed a decision tree for defect prediction, but it is often criticized for overfitting. This is one of the limitations of this paper. Apart from this, comparing the predicted defect count with other prediction models hasn’t been attempted. NSGA-II has been applied to solve the optimization problem; however, the optimal results obtained have yet to be compared with other algorithms. Further study is envisaged.
Practical implications
The Pareto front provides an effective visual aid for managers to compare multiple strategies to decide the best possible rework “cost” and “time” for their projects. It is beneficial for cost-sensitive start-ups to estimate the rework “cost” and “time” to negotiate with their customers effectively.
Originality/value
This paper proposes a novel quality management framework under the Six Sigma approach, which integrates optimization of critical metrics. As part of this study, a unique mathematical model of the software defect rework process was developed (combined with the proposed framework) to obtain the optimal solution for the perennial problem of schedule slippage in the rework process of software development.
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