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This study explores the career trajectories of Chief Executive Officers (CEOs) to uncover unique characteristics that contribute to their success. By utilizing web scraping and machine learning techniques, over two thousand CEO profiles from LinkedIn are analyzed to understand patterns in their career paths. This study offers an alternative approach compared to the predominantly qualitative research methods employed in previous research.

This study proposes a framework for analyzing CEO career patterns. Job titles and company information are encoded using the Standard Occupational Classification (SOC) scheme. The study employs the Needleman-Wunsch optimal matching algorithm and an agglomerative approach to construct distance matrices and cluster CEO career paths.

This study gathered data on the career transition processes of graduates from several renowned public and private universities in the United States via LinkedIn. Employing machine learning techniques, the analysis revealed diverse career trajectories. The findings offer career guidance for individuals from various academic backgrounds aspiring to become CEOs.

The building of a career sequence that takes into account the number of years requires integers. Numbers that are not integers have been rounded up to facilitate the optimal matching process but this approach prevents a perfectly accurate representation of time worked.

This study makes an original contribution to the field of career pattern analysis by disclosing the distinct career path groups of CEOs using the rich LinkedIn online dataset. Note that our CEO profiles are not restricted in any industry or specific career paths followed to becoming CEOs. In light of the fact that individuals who hold CEO positions are usually perceived by society as successful, we are interested in finding the characteristics behind their success and whether either the title held or the company they remain at show patterns in making them who they are today.

As a matter of fact, nearly all CEOs had previous experience working for a non-Fortune organization before joining a Fortune company. Of those who have worked for Fortune firms, the number of CEOs with experience in Fortune 500 forms exceeded those with experience in Fortune 1,000 firms.

In the vibrant world of social commerce (SC), where information flows freely, interactions thrive and online purchases abound, there is an escalating challenge. Users are uninstalling and disengaging due to approach and avoidance stimuli, a trend mirroring the approach-avoidance motivation model (AAMM). Our study, anchored in AAMM and the stimulus-organism-response (SOR) model, aims to dive into the complex dynamics of these factors that shape users' SC continuance intentions.

Our findings, drawn from 472 SC users in Malaysia, paint an intriguing research framework via PLS-SEM analysis by testing the proposed hypotheses. A purposive sampling technique was utilized, deliberately selecting respondents based on specific criteria. Subsequently, data were gathered through the distribution of face-to-face questionnaires at selected shopping malls, facilitating a focused and comprehensive exploration of consumer perspectives.

The empirical results demonstrate the following: (1) Users' determination to stay engaged on SC platforms hinges on approach factors, like emotional support, surveillance gratification and multisensory gratification. (2) Simultaneously, avoidance factors such as technostress and perceived deception exert their negative influence. (3) Flow experience, rooted in flow theory, emerges as the underlying mechanism connecting these duality stimuli, influencing the continuance intention.

In a departure from conventional research, our study pioneers a comprehensive approach and boldly confronts the research gap by introducing a rich tapestry of antecedents, embracing both the appeal of approach factors and the deterrence of avoidance ones, using the AAMM that sheds light on how individuals navigate between embracing opportunities and avoiding pitfalls based on perceived gains and losses. This holistic approach enables us to redefine our understanding of digital engagement dynamics, offering a captivating journey into the realm of user experience and intention that transcends the ordinary.

This study aims to proposes a theoretical model to understand the intention of Indonesian traditional micro businesses (MB) to continue using an e-marketplace.

This research involved the utilization and combination of habit formation and social impact theories to develop the model. A total of 162 responses were retrieved from the owners of traditional MB and used to validate the proposed model.

The results showed subjective norms to be the most substantial direct predictor of continuous usage, followed by usefulness, satisfaction and promotion proneness. Meanwhile, compatibility was found to have only an indirect effect through usefulness as a mediator. Moreover, moderating effect analysis also showed that the impact of herd behaviour was only significant for male and younger traditional MB owners.

The emphasis on the seller perspective using habit formation as well as the social impact theory to explain continuance behaviour is an alternative approach observed not to have been widely explored, especially for traditional businesses such as indigenous industry rather than organizations.

Using the upper echelons theory, this study aims to investigate the moderating effect of managerial discretion (MD) on the impact of dynamic managerial capabilities (DMCs) on established firms’ (EFs) response strategies to disruptive innovation (RStDI).

A cross-sectional study was conducted using an online questionnaire to collect data from senior management of sample firms, targeting the population of professional service firms (PSFs) operating in the Emirate of Dubai. After receiving 491 responses, data was analyzed using IBM packages (SPSS and Amos) through a covariance-based structural equation modeling technique.

As proposed, the underpinnings of DMCs (managerial human capital, managerial social capital and managerial cognitive perceptions) were associated with EFs’ strategies for responding to DIs. Surprisingly, despite theoretical predictions, MD did not moderate the relationship. These findings provided support to the main propositions of the upper echelons theory, however, not for its contextual moderator (MD).

The cross-sectional approach to testing the research model limits the identified significant effects that should be further investigated. The research sample was restricted to PSFs operating in Dubai, UAE, thus limiting the generalizability of the findings to the examined context.

The findings of this investigation are valuable to managers and hiring teams. They provide empirically supported insights on the critical role of managerial dynamic capabilities underpinnings (human capital, social capital and cognitive perceptions) in facilitating organizational RStDI. The findings also provide significant insights to policymakers, notably on the importance of innovative and well-crafted policies and regulative frameworks that enhance MD.

This study provides one of the first empirical quantitative analysis to assess MD and test its effects as a moderator, thus contributing significantly to the existing theoretical arguments on MD. To the best of the authors’ knowledge, this study is among the first to quantify the relationship between DMCs and organizational RStDI.

The study aimed to develop a disruptive production process innovation model from an emerging economy's agro-based dairy farming perspective based on the case of a Bangladeshi model dairy farm named Central Cattle Breeding and Dairy Farm (CBBDF), Savar, Dhaka.

The study used qualitative in-depth interviews, participants and document observation. Around 20 key informants were purposefully selected from the case organization.

The findings propose two different models for disruptive production process innovation toward sustainable agribusiness dairy farming from an emerging economy perspective and the modified process model from traditional dairy farms to modern dairy based on the stakeholders' (such as consumers, owners, managers and government) demand.

This study is the first attempt to develop a disruptive production process innovation and technology model for the dairy industry and its stakeholders' responsibilities from the experience of an emerging economy. The value of the research is in identifying factors under traditional dairy farming that need to be reduced and eliminated, and the factors under society, health concerns and value-added to existing farms need to be raised as per the global industry standard.

This study proposes a theoretical model to explain user intention to continue engaging with Social Commerce (SC) from a habit perspective. The research uses social impact theory, user personal traits, and SC quality to explain how user habits are formed in SC, leading to continued usage.

The study collected data from 868 Indonesian respondents using a cross-sectional field design. SEM analysis confirmed the proposed theoretical model, calculating direct, indirect, and moderating effects.

The results showed that the social aspect is the dominant construct influencing users’ habit of using SC. Further, the outcome indicates that habit significantly predicts Continuity usage. Profoundly, subjective norms are the most significant predictors of habit, followed by self-efficacy, content quality, and herd behavior. Meanwhile, Trust and Social Support only indirectly affect Habit through self-efficacy and content quality, respectively, as mediators. Additionally, the moderating effect analysis revealed that age and gender play a role in habit formation.

This study specifically explores the factors affecting the development of habits in SC usage, leading to repeated behaviors. This area has not been thoroughly examined in previous research. Therefore, this study seeks to address this gap by investigating how habits are formed through social interactions on SC platforms. Understanding habit formation provides an alternative way of comprehending the continued use of SC, as it is considered a significant factor that leads to continued intention.

This study aims at assessing entrepreneurial business performance (EBP) from dynamic capability (DC) and technology-organization-environment (TOE) framework perspectives, taking support from crowdfunding.

With the inputs from the literature, supported by TOE framework and the dynamic capability view (DCV), a model has been proposed. This model has been tested by the factor-based partial least squares structural equation modeling (PLS-SEM) technique through a survey and quantifying the responses of 406 respondents on a five-point Likert scale has been used.

The study has found that crowdfunding support (CFS) has an effective influence on the improvement of EBP. Also, the DC supports to improve the EBP. Environmental dynamism (END) has also a critical role in impacting business performance.

Crowdfunding involves investors who have a similar interest in the business, close friends, family members, venture capitalists, investment groups, etc. Thus, the proposed model can be used by these stakeholders for investment purposes as well as for improving EBP. This study is a cross sectional research work which has limitations. Moreover, the sample size of this project is limited and did not include global respondents, Thus, the findings of this study cannot be generalizable which is another limitation of this study.

Crowdfunding involves investors who have a similar interest in the business, such as close friends, family members, venture capitalists, investment groups, etc. Thus, the proposed model can be used by these stakeholders for investment purposes as well as for improving EBP. The study can help policymakers understand the importance of crowdfunding in promoting entrepreneurship activities in a region, which helps in the economic development of that region.

This research work enriches the extant literature in the fields of crowdfunding and investment, DC and entrepreneurship. Not many studies have dealt with the issues of CFS for the improvement of EBP. Hence, this study may be considered novel. Moreover, the proposed research framework related to crowdfunding possesses a high predictive power. This makes the study unique.

Many conceptual, empirical and exploratory studies on perceived organizational performance have been conducted in various domains. But, no attempt has been made to provide a comprehensive scientific analysis of that area. Thus, by synthesizing knowledge structures, the aim of this study is to highlight the research field's trend.

A collection of 115 paper were included from Scopus and Web of science database covering the years 1994–2023. A bibliometric study was conducted on the perceived performance of the organization. The research used Biblioshiny, an online application part of the R-language Bibliometrix package (Aria and Cuccurullo, 2017). Significant journals, authors, countries, articles and topics were discovered using the automated workflow feature of the program. Both social network analysis and conceptual network analysis were done.

The outcomes display how the themes of perceived organizational performance have evolved as an interdisciplinary field. Initially, the field's analysis progressively expanded to include subjects like leadership and corporate social responsibility. The social structure of the domain is revealed by this research beside the conceptual structure. This study provides valuable new knowledge on areas that require more research.

This study offers significant insights regarding the perceived performance of organizations. It directs the reader toward the potential topics for research while highlighting the most discussed concerns in the field. By revealing the social and conceptual structure of the field, it gives upcoming academics knowledge about novel topics, contexts and collaborative opportunities.

In the past, several cross-national conceptual and empirical investigations in various areas have been carried out. This study's main contribution is the combining of the scattered literature on this topic and the identification of significant authors, sources and documents associated with perceived organizational performance.

While the importance of supply chain learning (SCL) is widely recognized by both academia and industry, the mechanisms through which SCL is developed and its effects on environmental performance remain insufficiently understood. This study conceptualizes and empirically investigates the role of relational capital and information technology (IT) in enhancing SCL and improving environmental performance.

Drawing on socio-technical system theory (STS) and a knowledge-based view, this research employs structural equation modeling to test the proposed model, utilizing survey data collected from Chinese manufacturing companies.

The results demonstrate that relational capital with supplier and customer significantly enhances both supplier and customer learning. While IT does not directly impact supplier and customer learning, it exerts an indirect influence through its positive effect on relational capital. In other words, relational capital mediates the relationship between IT and supplier and customer learning. Additionally, this study finds that both supplier and customer learning enhance environmental performance.

This study provides actionable insights for managers, emphasizing the importance of relational capital in fostering SCL and improving environmental performance. By understanding these relationships, managers can develop more effective strategies for leveraging SCL as a tool for sustainability.

This study adds to the existing body of knowledge in supply chain management by offering a more nuanced and holistic model to explain how relational capital, IT and SCL interact to influence environmental performance, particularly within the context of Chinese manufacturing companies.

The study examines how process/organizational innovation and R&D spending mediate the relationship between financial performance and the resource dependence theory in Fintech, providing insights into effective innovation strategies for achieving sustainable financial performance.

Data from 191 financial firms in Taiwan was collected from annual reports using the Taiwan Economic Journal (TEJ), a financial information provider. Content analysis was used to measure innovation activities and financial performance, with process and organizational innovation defined. R&D expenditures were also collected and used in statistical analysis to explore the relationship between variables.

This study on the financial services industry shows that process innovation and R&D expenditure positively impact firm performance, while organizational innovation may have a negative short-term effect but could have long-term benefits.

Limitations of this study include vulnerability to spurious effects and the use of data from only listed financial service firms. Future research should use more short-term performance data and include unlisted firms in the financial services industry to extend the study’s coverage.

This study extends resource dependence theory to financial services and explores the effects of process and organizational innovation on firm performance. Results show that internal process management boosts performance, while external collaboration with startups enhances Fintech innovation and efficiency, with positive short-term effects. The study highlights the importance of interacting with external organizations to access resources and improve performance in financial services.