Data Driven Decision Making In The Entrepreneurial Ecosystem

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Data Driven Decision Making In Entrepreneurship

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Author : Nikki Blackmith
language : en
Publisher: CRC Press
Release Date : 2024-04-02

Data Driven Decision Making In Entrepreneurship written by Nikki Blackmith and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-04-02 with Business & Economics categories.

Since the beginning of the 21st century, there has been an explosion in startup organizations. Together, these organizations have been valued at over $3 trillion. In 2019, alone, nearly $300 billion of venture capital was invested globally (Global Startup Ecosystem Report 2020). Simultaneously, an explosion in high volume and high velocity of big data is rapidly changing how organizations function. Gone are the days where organizations can make decisions solely on intuition, logic, or experience. Some have gone as far as to say that data is the most valuable currency and resource available to businesses, and startups are no exception. However, startups and small businesses do differ from their larger counterparts and corporations in three distinct ways: 1) they tend to have fewer resources, time, and specialized training to devote to data analytics; 2) they are part of a unique entrepreneurial ecosystem with unique needs; 3) scholarship and academic research on human capital data analytics in startups is lacking. Existing entrepreneurship research focuses almost exclusively on macro-level aspects. There has been little to no integration of micro- and meso-level research (i.e., individual and team sciences), which is unfortunate given how organizational scientists have significantly advanced human capital data analytics. Unlike other books focused on data analytics and decision for organizations, this proposed book is purposefully designed to be more specifically aimed at addressing the unique idiosyncrasies of the science, research, and practice of startups. Each chapter highlights a specific organizational domain and discuss how a novel data analytic technique can help enhance decision-making, provides a tutorial of said regarding the data analytic technique, and lists references and resources for the respective data analytic technique. The volume will be grounded in sound theory and practice of organizational psychology, entrepreneurship and management and is divided into two parts: assessing and evaluating human capital performance and the use of data analytics to manage human capital.

The Elements Of Big Data Value

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Author : Edward Curry
language : en
Publisher: Springer Nature
Release Date : 2021-08-01

The Elements Of Big Data Value written by Edward Curry and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-01 with Computers categories.

This open access book presents the foundations of the Big Data research and innovation ecosystem and the associated enablers that facilitate delivering value from data for business and society. It provides insights into the key elements for research and innovation, technical architectures, business models, skills, and best practices to support the creation of data-driven solutions and organizations. The book is a compilation of selected high-quality chapters covering best practices, technologies, experiences, and practical recommendations on research and innovation for big data. The contributions are grouped into four parts: · Part I: Ecosystem Elements of Big Data Value focuses on establishing the big data value ecosystem using a holistic approach to make it attractive and valuable to all stakeholders. · Part II: Research and Innovation Elements of Big Data Value details the key technical and capability challenges to be addressed for delivering big data value. · Part III: Business, Policy, and Societal Elements of Big Data Value investigates the need to make more efficient use of big data and understanding that data is an asset that has significant potential for the economy and society. · Part IV: Emerging Elements of Big Data Value explores the critical elements to maximizing the future potential of big data value. Overall, readers are provided with insights which can support them in creating data-driven solutions, organizations, and productive data ecosystems. The material represents the results of a collective effort undertaken by the European data community as part of the Big Data Value Public-Private Partnership (PPP) between the European Commission and the Big Data Value Association (BDVA) to boost data-driven digital transformation.

Big Data Analytics For Entrepreneurial Success

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Author : Sedkaoui, Soraya
language : en
Publisher: IGI Global
Release Date : 2018-11-09

Big Data Analytics For Entrepreneurial Success written by Sedkaoui, Soraya and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-09 with Business & Economics categories.

In a resolutely practical and data-driven project universe, the digital age changed the way data is collected, stored, analyzed, visualized and protected, transforming business opportunities and strategies. It is important for today’s organizations and entrepreneurs to implement a robust data strategy and industrialize a set of “data-driven” solutions to utilize big data analytics to its fullest potential. Big Data Analytics for Entrepreneurial Success provides emerging perspectives on the theoretical and practical aspects of data analysis tools and techniques within business applications. Featuring coverage on a broad range of topics such as algorithms, data collection, and machine learning, this publication provides concrete examples and case studies of successful uses of data-driven projects as well as the challenges and opportunities of generating value from data using analytics. It is ideally designed for entrepreneurs, researchers, business owners, managers, graduate students, academicians, software developers, and IT professionals seeking current research on the essential tools and technologies for organizing, analyzing, and benefiting from big data.

Data Science For Entrepreneurship

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Author : Werner Liebregts
language : en
Publisher: Springer Nature
Release Date : 2023-03-23

Data Science For Entrepreneurship written by Werner Liebregts and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-23 with Business & Economics categories.

The fast-paced technological development and the plethora of data create numerous opportunities waiting to be exploited by entrepreneurs. This book provides a detailed, yet practical, introduction to the fundamental principles of data science and how entrepreneurs and would-be entrepreneurs can take advantage of it. It walks the reader through sections on data engineering, and data analytics as well as sections on data entrepreneurship and data use in relation to society. The book also offers ways to close the research and practice gaps between data science and entrepreneurship. By having read this book, students of entrepreneurship courses will be better able to commercialize data-driven ideas that may be solutions to real-life problems. Chapters contain detailed examples and cases for a better understanding. Discussion points or questions at the end of each chapter help to deeply reflect on the learning material.

Data Driven Business Transformation

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Author : Peter Jackson
language : en
Publisher: John Wiley & Sons
Release Date : 2019-03-25

Data Driven Business Transformation written by Peter Jackson and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-25 with Mathematics categories.

OPTIMIZE YOUR BUSINESS DATA FOR FIRST-CLASS RESULTS Data Driven Business Transformation illustrates how to find the secrets to fast adaptation and disruptive origination hidden in your data and how to use them to capture market share. Digitalisation – or the Digital Revolution – was the first step in an evolving process of analysis and improvement in the operations and administration of commerce. The popular author team of Caroline Carruthers and Peter Jackson, two global leaders in data transformation and education, pick up the conversation here at the next evolutionary step where data from these digital systems generates value, and really use data science to produce tangible results. Optimise the performance of your company through data-driven processes by: Following step-by-step guidance for transitioning your company in the real world to run on a data-enabled business model Mastering a versatile set of data principles powerful enough to produce transformative results at any stage of a business’s development Winning over the hearts of your employees and influencing a cultural shift to a data-enabled business Reading first-hand stories from today’s thought leaders who are shaping data transformation at their companies Enable your company’s data to lift profits with Data Driven Business Transformation.

The Data Driven Leader

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Author : Jenny Dearborn
language : en
Publisher: John Wiley & Sons
Release Date : 2017-11-06

The Data Driven Leader written by Jenny Dearborn and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-11-06 with Business & Economics categories.

Data is your most valuable leadership asset—here's how to use it The Data Driven Leader presents a clear, accessible guide to solving important leadership challenges through human resources-focused and other data analytics. This engaging book shows you how to transform the HR function and overall organizational effectiveness by using data to make decisions grounded in facts vs. opinions, identify root causes behind your company’s thorniest problems and move toward a winning, future-focused business strategy. Realistic and actionable, this book tells the story of a successful sales executive who, after leading an analytics-driven turnaround (in Data Driven, this book’s predecessor), faces a new turnaround challenge as chief human resources officer. Each chapter features insightful commentary and practical notes on the points the story raises, guiding you to put HR analytics into action in your organization. HR and other leaders cannot afford to overlook the power and competitive advantages of data-driven decision-making and strategies. This book reflects the growing trend of CEOs choosing analytics-minded business leaders to head HR, at a time when workplaces everywhere face game-changing forces including automation, robotics and artificial intelligence. It is urgent that human resources leaders embrace analytics, not only to remain professionally relevant but also to help their organizations successfully navigate this digital transformation. HR professionals can and must: Understand essential data science principles and corporate analytics models Identify and execute effective data analytics initiatives Boost HR and company productivity and performance with metrics that matter Shape an analytics-centric culture that generates data driven leaders Most organizations capture and report data, but data is useless without analysis that leads to action. The Data Driven Leader shows you how to use this tremendous asset to lead your organization higher.

Data Driven Decision Making For Long Term Business Success

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Author : Singh, Sonia
language : en
Publisher: IGI Global
Release Date : 2023-12-21

Data Driven Decision Making For Long Term Business Success written by Singh, Sonia and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-21 with Business & Economics categories.

In today's academic environment, the challenge of ensuring lasting commercial and economic success for organizations has become more daunting than ever before. The relentless surge in data-driven decision-making, based on innovative technologies such as blockchain, IoT, and AI, has created a digital frontier filled with complexity. Maintaining a healthy firm that can continually provide innovative products and services to the public while fueling economic growth has become a formidable puzzle. Moreover, this digital transformation has ushered in new risks, from pervasive cybersecurity threats to the ethical challenges surrounding artificial intelligence. In this evolving landscape, academic scholars face the pressing challenge of deciphering the path to long-term organizational prosperity in an era dominated by data. Data-Driven Decision Making for Long-Term Business Success serves as guidance and insights amidst this academic challenge. It is the definitive solution for scholars seeking to uncover the complexities of data-driven decision-making and its profound impact on organizational success. Each meticulously curated chapter delves into a specific facet of this transformative journey, from the implications of modern technologies and pricing optimization to the ethics underpinning data-driven strategies and the metaverse's influence on decision-making.

Principles Of Entrepreneurship In The Industry 4 0 Era

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Author : Rajender Kumar
language : en
Publisher: CRC Press
Release Date : 2022-10-13

Principles Of Entrepreneurship In The Industry 4 0 Era written by Rajender Kumar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-13 with Business & Economics categories.

The feature that distinguishes this book from all other books on entrepreneurship is the comprehensive discussion of the challenges and opportunities that entrepreneurs encounter in the Industry 4.0 era. It enables readers to start dreaming big, visualizing, and encourages them to think clearly and creatively. The book emphasizes creativity and innovation as the core of entrepreneurship, by stretching imagination, thinking about problems and solutions, and visualizing their ventures at the local, national, and global scale. It also discusses the role of women in private enterprise, and entrepreneurship in the post COVID-19 world.

Data Driven Decision Making

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Author : Jeanne Poulose
language : en
Publisher: Palgrave Macmillan
Release Date : 2024-07-13

Data Driven Decision Making written by Jeanne Poulose and has been published by Palgrave Macmillan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-13 with Business & Economics categories.

This book delves into contemporary business analytics techniques across sectors for critical decision-making. It combines data, mathematical and statistical models, and information technology to present alternatives for decision evaluation. Offering systematic mechanisms, it explores business contexts, factors, and relationships to foster competitiveness. Beyond managerial perspectives, it includes contributions from professionals, academics, and scholars worldwide, delivering comprehensive knowledge and skills through diverse viewpoints, cases, and applications of analytical tools. As an international business science reference, it targets professionals, academics, researchers, doctoral scholars, postgraduate students, and research organizations seeking a nuanced understanding of modern business analytics.

Entrepreneurial Strategies For Value Creation In Times Of Uncertainty

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Author : Wojciech Dyduch
language : en
Publisher: Journal of Entrepreneurship, Management and Innovation
Release Date : 2024-01-01

Entrepreneurial Strategies For Value Creation In Times Of Uncertainty written by Wojciech Dyduch and has been published by Journal of Entrepreneurship, Management and Innovation this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-01-01 with Business & Economics categories.

Entrepreneurial (re)orientation in the face of crisis: Is it worth modifying entrepreneurial strategy? Abstract PURPOSE: This article aims to determine how companies in the SME sector modify their business strategies in response to changes in the external environment. The research focused on modifications to entrepreneurial strategies expressed through the fundamental dimensions of entrepreneurial orientation (EO): risk-taking, innovativeness, and proactiveness. Additionally, it identified which types of reactions (modifications in strategies) lead to the most favorable changes in firm performance. The external environment was determined based on the market situation that resulted from the emergence of the COVID-19 pandemic. METHODOLOGY: This is quantitative research. The study utilized data from 126 small printing businesses operating throughout Poland. Analyses were conducted on the data that reflected modifications in entrepreneurial behaviors and performance during three periods: the pre-crisis period, the initial phase of the crisis (the full lockdown period), and the second phase of the crisis (the period of easing the restrictions). The identification of the behavior types was carried out using cluster analysis. FINDINGS: The results of the research led to the conclusion that, with a change in market conditions, companies significantly change their levels of EO. In particular, the surveyed companies reduced their levels of EO during the outbreak of the COVID-19 pandemic. At the same time, this decrease was mainly due to significant decreases in risk-taking. The levels of EO increased when the conditions improved due to significant increases in innovativeness and proactiveness. Moreover, the analysis enabled the identification of four types of reactions to the emergence of the crisis as well as three types of reactions to the improvement of the external conditions that resulted from the easing of restrictions and the introduction of anti-crisis support measures for businesses. Additionally, it was demonstrated that the type of reaction had a significant impact on the changes in the performances of the examined companies. In particular, it was shown that the lowest decline in performance during the initial phase of crisis could be observed in passive enterprises, i.e., those that did not modify their entrepreneurial strategies (did not alter their levels of individual dimensions of EO). The greatest increase in performance was achieved during the period of easing restrictions by those companies that significantly enhanced their activities across all of the considered dimensions of EO. IMPLICATIONS: The research results provided insights for entrepreneurs in strategic management. Specifically, they learned about the modifications in entrepreneurial behaviors that could lead to the most favorable and optimal improvements in a firm’s performance when market conditions change. ORIGINALITY AND VALUE: The study contributes to the literature concerning reactions to changes in market conditions. This innovative approach considers dynamics where the changes themselves are variables. In particular, this research identifies types of entrepreneurial reactions to market condition changes in terms of dimensions of entrepreneurial orientation. Furthermore, it provides an answer to how firm performance evolved regarding various reaction types (using the example of the printing industry). Keywords: entrepreneurial orientation, crisis management strategies, strategy adaptation, strategy modification, business strategy, risk-taking, innovativeness, proactiveness, crisis, COVID-19, external environment, small businesses, firm performance, cluster analysis, entrepreneurial behavior Redefining rural entrepreneurship: The impact of business ecosystems on the success of rural businesses in Extremadura, Spain Abstract PURPOSE: Regarding the growth of public policies fostering rural entrepreneurship, the primary objectives of this work involve examining the concept of rural entrepreneurship, identifying key aspects that differentiate it from non-rural entrepreneurship, and assessing the role of the local entrepreneurial ecosystem in supporting the initiation and growth of rural ventures. To achieve these goals, the study adopts a novel approach by integrating an analysis of rural entrepreneurship features with an exploration of the entrepreneurial ecosystem’s impact. METHODOLOGY: After a review of the previous academic literature, the characteristics of rural entrepreneurship have been delimited, distinguishing it from non-rural. The research results have been obtained using a questionnaire, after a descriptive analysis of the sample, and an analysis of the difference in means by contrasting hypotheses using IBM SPSS Statistics 26. FINDINGS: This article explores the factors that contribute to rural entrepreneurship, challenging the notion that geographic location is the sole defining characteristic. Through the conducted investigation, it has been determined that a company’s classification as rural is not solely based on its geographical location in rural areas or involvement in primary sector activities. Other aspects, such as a strong connection with the local community or the ability to create value, are also essential in defining a rural enterprise. Additionally, it examines how business ecosystems can foster the growth and success of rural entrepreneurship. IMPLICATIONS: This study provides an analysis of how rural entrepreneurship can drive endogenous development in rural areas. It also offers insights for government entities and policymakers to implement effective support measures and strategies in business ecosystems within rural environments. This study highlights that the resources found in rural entrepreneurial ecosystems may not be sufficient to support rural entrepreneurship. It’s important to acknowledge that rural entrepreneurship requires specific resources that may not currently be available in business ecosystems. To increase the number of viable rural businesses, new resources tailored to rural entrepreneurship must be created, leveraging the area’s endogenous resources and growth models. ORIGINALITY AND VALUE: This study examines the distinctive attributes of rural entrepreneurship, with a deliberate departure from exclusive emphasis on geographical location or primary economic sector. Drawing upon empirical research conducted among a cohort of rural enterprises, the analysis reveals that neither physical location nor primary sector affiliation substantially contribute to the establishment of these rural businesses. Instead, a profound connection to, and a heightened sense of belonging within the rural milieu emerge as pivotal determinants. Furthermore, rural entrepreneurship emerges as a promising avenue for the development of the region, offering substantial growth prospects. The investigation encompasses a scrutiny of the resources within the rural business ecosystem and their capacity to stimulate rural entrepreneurial activity. This emerging focal point represents a novel field of concern for governmental bodies and political institutions operating in rural areas. Keywords: entrepreneurship, rural entrepreneurship, business ecosystems, rural business success, entrepreneurial ecosystem, rural development strategies, endogenous development, rural ventures, geographic location impact, local community engagement, policy implementation for rural areas, value creation, embeddedness Making of intrapreneurial managers: Investigating unethical behavior, risk-taking, and decision-making speed as antecedents Abstract PURPOSE: The entrepreneurship-ethics nexus draws considerable interest from researchers and practitioners with little resolution. Our purpose with this paper is to contribute to the debate by shedding light on the relationship between managers’ attitudes toward unethical behavior and their subsequent entrepreneurial intention (EI) in an emerging economy context. Given the complex and multifaceted interplay between unethical behavior and EI, we extend our investigation by including decision-making speed and attitude toward risk to explain the relationship further. We take a granular approach to facets of unethical behavior to gain deeper insights into the specificity of influences they pose on subsequent behavioral intentions. METHODOLOGY: Primary data were collected from 214 Kosovan managers employed in companies from different industries. Hypothesized relationships were tested by conducting hierarchical regression analyses. FINDINGS: Our results indicate that managers with higher EI are not necessarily unethical overall. We did not find support for the hypothesis that managers with stronger attitudes toward unethical behavior demonstrate higher entrepreneurial intentions. Focusing on dimensions of unethical behavior, we find that managers who favor bribery are more entrepreneurially inclined. Furthermore, we find that managers who are quick decision-makers and risk-takers express higher EI. IMPLICATIONS: Theoretically, we add to the existing body of research on ethics and entrepreneurship by empirically examining the relationship between attitude toward unethical behavior and EI and the viability of the Theory of Planned Behavior as a framework for integrating unethical behavior in entrepreneurship research. Our study affirms the extension of the theoretical and empirical underpinnings concerning ethics and entrepreneurship, contemplating that they are pervasive across contexts. We provide important practical implications for managers, especially in the corporate entrepreneurship and training context. Managers are encouraged to foster an entrepreneurial-friendly environment that abides by ethical standards. Our study also informs policymakers of the importance of formal education on entrepreneurship as a mechanism to enforce ethical awareness in future entrepreneurs and intrapreneurs. ORIGINALITY AND VALUE: This study is among the first attempts to test the relationship between unethical behavior and EI in a managerial sample and non-western context. Keywords: entrepreneurial intention, unethical behavior, bribery, risk-taking, decision-making speed, intrapreneurial managers, entrepreneurship-ethics nexus, hierarchic regression analysis, corporate entrepreneurship, theory of planned behavior, ethical standards, entrepreneurship Entrepreneurial agility and organizational performance of IT firms: A mediated moderation model Abstract PURPOSE: The Information and Communication Technology (ICT) sector is playing an important role in the growth of the world`s economy. However, limited knowledge exists concerning the underlying mechanisms and boundary-spanning conditions under which entrepreneurial agility (EA) affects the organizational performance (OP) of IT firms. This study draws on the Dynamic Capability Theory (DCT) to examine the effect of entrepreneurial agility (EA) on the organizational performance (OP) of Italian IT firms with the mediating role of open innovation (OI) and the moderating role of environmental dynamism (ED). METHODOLOGY: Employing an explanatory research design and convenience sampling technique via an online survey to gather data from a sample of 411 Italian IT firms, the study tested the formulated hypotheses using the structural equation modeling technique in AMOS statistical software. FINDINGS: The results revealed that EA, directly and indirectly, influences OP of IT firms. Moreover, the mediation analysis unveils that OI plays a complementary, partial mediation role in the EA—OP nexus. Finally, ED moderates this focal relationship, such that in the presence of high environmental dynamism, the relationship between EA and OP gets stronger compared to low environmental dynamism. IMPLICATIONS: The findings imply that IT firms should emphasize adopting agile procedures and structures that allow them to react to new problems and opportunities swiftly by building a culture of innovation through the adoption of OI strategies (inbound, outbound, and coupled) to tap into the broader range of expertise and resources in the business environment. To improve the link between OI and OP, managers should prioritize building relationships with external partners, such as customers, suppliers, and academic institutions. IT firms should also prioritize building a diverse and inclusive workforce that can bring diverse perspectives and experiences to the innovation process to enhance their innovation capabilities and create products and services that better meet the needs of customers. ORIGINALITY AND VALUE: The study´s value lies in extending the ongoing scholarly discussion on the nexus between EA and OP by exploring OI as an intermediary mechanism that connects EA, OP, and ED as a boundary-spanning condition that moderates the focal relationship. This research highlights the interplay between EA, OI, ED, and OP, using the DCT as a theoretical foundation. It is the first to examine such interrelationships in the IT sector. In addition, the study provides new insight for researchers focusing on the information technology (IT) sector. Keywords: entrepreneurial agility, organizational performance, IT firms, dynamic capability theory, open innovation, environmental dynamism, mediated moderation model, structural equation modeling, information and communication, technology sector, innovation management Decoding startup failures in Indian startups: Insights from Interpretive Structural Modeling and Cross-Impact Matrix Multiplication Applied to Classification Abstract PURPOSE: Start-ups are widely acknowledged as crucial catalysts for innovation and drivers of economic progress. However, their vulnerability to failure continues to pose a persistent and significant obstacle. In light of this, the study intends to ascertain the various elements responsible for the elevated incidence of start-up failures and examine their contextual associations. It further aims to establish the hierarchical structure and identify the crucial factors of start-up failure. METHODOLOGY: The paper uses the Interpretive Structural Modeling (ISM) approach to determine the structural hierarchy and interconnections among the causes of start-up failures identified through the comprehensive analysis of existing literature and experts’ opinions. MICMAC (Cross-Impact Matrix Multiplication Applied to Classification) analysis is also being utilized to categorize these identified failure causes into autonomous, independent, dependent, and linking factors by their driving and dependency powers. FINDINGS: A structural framework depicting the interrelationships among the factors has been derived, showing the failure factor, ‘poor market positioning’ factor at the highest level, and the ‘lack of entrepreneurial efficiency’ at the lowest level of the model. The results also revealed that lack of entrepreneurial efficiency, poor management, and external environmental issues are the most significant independent factors upon which all other failure factors rely. It also categorizes ‘poor market positioning’ as the dependent factor, signifying its passive role in the failure of start-ups. IMPLICATIONS: As previous literature has discussed the various factors responsible for the failure of start-ups in isolation, the current study fills out the gap in the literature by establishing linkages among those factors. The study’s insights emphasize the value of effective management teams and entrepreneurial skills in averting start-up failures. It highlights the importance of skill development and mentorship to enhance the capabilities of entrepreneurs and their teams. Furthermore, the research indicates that policymakers and support groups can create focus initiatives addressing issues like market validation, team dynamics, and financial management to enhance the start-up environment. These initiatives may encompass entrepreneurship training, financial assistance, and mentorship through the ‘Start-up India’ Program, Bharat Fund platform, etc. ORIGINALITY AND VALUE: Previous studies on entrepreneurial failure are based on AHP (Analytical Hierarchical Process), content analysis, and quality management methodologies. This is potentially the first study using the ISM-MICMAC approach that explores the complex world of start-up failures in India and illustrates the relative influence and interdependence of various failure factors of start-ups through a hierarchical model. Keywords: start-ups, failure factors, start-up failures, Interpretive Structural Modeling, ISM, Cross-Impact Matrix Multiplication Applied to Classification, MICMAC, entrepreneurial efficiency, market positioning, management competency, external environmental issues, failure prevention strategies, Indian, entrepreneurship skill development. The effectiveness of agile leadership in practice: A comprehensive meta-analysis of empirical studies on organizational outcomes Abstract PURPOSE: The COVID-19 pandemic and the digital transformation have hastened the demand for enterprises to be more flexible and adaptive in a fast-changing environment, making agile leadership a prominent business trend. Agile leadership improves innovation efficiency, employee performance, and team effectiveness. However, there is limited research on agile leadership’s effects on organizational outcomes. Thus, this study provides a meta-analytic review of the impact of agile leadership on organizational outcomes that cover various common dimensions like operational, employee, customer, financial, and social environments. METHODOLOGY: The study has two phases: the first phase performs bibliometric literature analysis, and the second phase performs meta-analysis. In the bibliometric literature analysis, 74 articles that were published between 2004 and 2023 were identified from Scopus and Google Scholar, and their type of publication, year of publication, countries involved in agile leadership research, keywords involved, and their association are examined. For the meta-analysis, 24 articles that performed empirical research were chosen from which the various independent and dependent variables studies, along with their standard regression coefficients (𝛽) and correlation coefficients (𝛾) that represent the relationship between agile leadership or agile leaders and that of other factors, were extracted and examined. FINDINGS: The study found that there was a significant rise in publications on agile leadership after 2020, and Turkey, the United States, and Indonesia were involved more than other countries. Moreover, agile leadership is studied more in terms of operational outcomes and employee outcomes. The results of the meta-analysis indicate that agile leadership has a strong relationship with factors like interpersonal trust (𝛽=0.93), organizational performance (𝛽=0.90), organizational effectiveness (𝛽=0.89), individual career success (𝛽=0.89) and innovation management (𝛽=0.81). Thus, it is clear that agile leadership has a stronger impact on operational outcomes than employee outcomes. Agile leadership characteristics such as digital innovation, trust, competency, result orientation, and wisdom are significant for organizational growth, team collaboration, team effectiveness, and organizational innovation. IMPLICATIONS: Identifying agile leadership concepts helps assess the progress of empirical research, improve leadership theories and models, and identify potential growth opportunities. The success of agile leadership depends on factors like a company’s culture, industry, and size, and this can be studied further. Furthermore, organizations may need to adjust their strategies on customer service, financial management, and investment so that they better reflect the values of agile leadership. ORIGINALITY AND VALUE: This study classifies numerous different research models that shed light on the efficiency of agile leadership based on a comprehensive literature review that serves as the basis for this study. In addition, this study identifies potential problem areas that need to be fixed, and as a result, it makes a contribution to the research on agile leadership. Keywords: agile leadership, organizational outcomes, operational outcome, employee outcome, interpersonal trust, leadership practice, organizational performance, meta-analysis, digital transformation, innovation management, employee performance, interpersonal trust, team effectiveness, COVID-19, strategic flexibility Relationship between entrepreneurial orientation, innovative co-branding partnership, and business performance Abstract PURPOSE: This study aimed to determine the relationship between entrepreneurial orientation (EO), innovative co-branding partnership, and business performance. EO was analyzed through five dimensions: innovativeness, proactiveness, risk-taking, competitive aggressiveness, and autonomy. METHODOLOGY: As part of the first phase of brand management research, the quantitative survey was conducted in June 2023 among managers of companies operating in Poland using an online questionnaire. 280 responses were obtained, of which 266 questionnaires were qualified for further calculations. Incomplete questionnaires were eliminated. Hypotheses were formulated regarding the positive impact of the five dimensions of EO (innovation, proactivity, risk-taking, competitive aggressiveness, and autonomy) on business performance and innovative co-branding partnership, and the positive impact of innovative co-branding partnership on business performance. Structural equation modeling using partial least squares (PLS-SEM) was applied to support the conceptual framework and proposed hypotheses. The calculations were performed in Smart PLS version 4.0.9.5. FINDINGS: The results indicate that three EO dimensions (innovativeness, proactiveness, and competitive aggressiveness) influence business performance. There was no effect of risk-taking and autonomy on business performance. In addition, three EO dimensions (innovativeness, competitive aggressiveness, and autonomy) influence innovative co-branding partnership. No effect of risk-taking and proactivity was found on innovative co-branding partnership. This means that two EO dimensions (innovativeness and competitive aggressiveness) positively influence innovative co-branding partnership and business performance. Furthermore, innovative co-branding partnership was proven to influence business performance. IMPLICATIONS for theory and practice: The results of the study point to theoretical implications for further exploration of entrepreneurial orientation and its dimensions. The practical implications relate to recommendations for managers. Managers should make efforts to increase innovation, market activity, and competitiveness of the market offer. It is necessary to monitor the actions taken in the context of their impact on selected market, consumer, product, and brand performance. In addition, managers should analyze the possibilities of undertaking cooperation of this nature to increase business performance. ORIGINALITY AND VALUE: This study provides a better understanding of the impact of entrepreneurial orientation on business performance using innovative co-branding. Compared to previous studies, it has an advantage in research by introducing the issue of innovative co-branding, which can be used for the development of new business activities. In addition, this study focuses on several areas of business performance, including product, brand, consumer, and financial performance. Keywords: entrepreneurial orientation, innovativeness, proactiveness, risk-taking, competitive aggressiveness, autonomy, innovative co-branding partnership, business performance, Structural Equation Modeling (SEM), brand management, market performance