PurposeThis study empirically examines the relationship between human capital ecosystems and entrepreneurial ecosystems. The study also investigates the mediating roles of digital knowledge capability and innovation capability and the moderating role of technology turbulence in the entrepreneurial ecosystem.Design/methodology/approachThe study takes inputs from existing literature and resource-based view (RBV) and absorptive capacity theories and develops a theoretical model. Later, the model is validated using the structural equation modeling technique with data collected from India-based startup enterprises.FindingsThe authors found a nexus between human capital and entrepreneurial ecosystems. The study also highlights that enterprises' digital knowledge capability and innovation capability significantly influence the entrepreneurial ecosystem. The study also found that technology turbulence has a significant moderating impact on the relationship between digital knowledge capability and innovation capability in entrepreneurial ecosystems.Research limitations/implicationsThe study shows the importance of developing human capital for improving enterprises' innovation capability and digital knowledge capability, which are also important to develop the entrepreneurial ecosystem. Entrepreneurs can use the proposed model in their enterprises for appropriately developing the entrepreneurial ecosystem.Originality/valueThe authors propose a theoretical model for entrepreneurial ecosystems, from the human capital perspective, which entrepreneurs could use to improve the overall organizational performance. Moreover, the model uses technology turbulence as a moderator, which is also a novel approach. The study also adds valuable knowledge to the overall body of literature of intellectual capital.
Digital business transformation is considered an effective business strategy that appears to have gained attention since the enterprises are challenged to continuously improve their business practices as well as capabilities. The use of digital technologies could reduce the influence of external crises and could introduce massive changes in business operations by providing better business models. Moreover, adopting digital technology can influence both economic sustainability and social value of enterprises and can improve regional socio-economic conditions. There are few recent studies on how technology can empower enterprises at different phases of growth and sustainability; furthermore, very few studies are available that determine how adopting different modern digital technologies can create value for small and medium enterprises (SMEs). Therefore, this study aims to close this gap and investigate the moderating role of entrepreneurial orientation. With the support of resource-based view (RBV) and dynamic capability view (DCV) theories, along with a literature review, a theoretical model has been developed. It was then validated using the PLS-SEM technique considering 319 respondents who are SME employees in India. The findings show that adopting digital technologies has a significant impact on the creation of economic sustainability and social value for SMEs. The study also found a significant moderating impact of entrepreneurial orientation on the relationship between social and economic value creation and SME performance.
Purpose Chalta hai (it is fine or it is acceptable) is an Indian cultural phenomenon that influences attitude towards work and business and diachronically adversely affects both. The purpose of this study is to explore its impact on the sustainability of business firms operating in India. Design/methodology/approach The research has firstly undertaken a theoretical study towards the development of appropriate hypotheses and a corresponding conceptual model, with emphasis on the effects of chalta hai culture as a moderator of the predictor-sustainability linkages. The model has been validated statistically through partial least square- structural equation modelling analysis of usable feedbacks from 349 respondents. Findings The research has concluded that the cultural notion of chalta hai impacts adversely the sustainability of business firms operating in India, with its effects being dominant. Research limitations/implications The research has scholarly and executive implications, as well as socio-cultural implications. The sample, however, allows for conclusions to be drawn reliably but with limited generalizability. Additionally, only three predictors have been considered, bestowing upon future research the task of building on the present model through additional pertinent predictors and boundary conditions that will enhance its explanative power. Practical implications The research has provided a scientifically developed model that guides Indian firm managers through appropriate steps that dissuade stakeholders from exhibiting the behavioural traits and attitudes of chalta hai culture, highlighting along the way its detrimental effects on Indian business sustainability. Originality/value There is little research on the business impacts of chalta hai and regarding the sustainability perspective/focus. In addition, this is in sharp contrast to the spread and impact of the phenomenon. This research and its findings, therefore, are valuable with regard to both their wider context (“chalta hai” business effects) and their specific focus (sustainability).
PurposeThis study aimed to determine the antecedents of privacy concerns and their impact on consumers' online information disclosure. It also investigated the moderating role of government regulation on the relationship between privacy concerns and online information disclosure.Design/methodology/approachWith the help of literature review and theories, a theoretical model was developed and then validated using the partial least squares structural equation modeling technique to analyze data from 309 respondents.FindingsThe study found that online users' privacy awareness, privacy experience, personality and cultural differences significantly and positively impact their privacy concerns, which in turn positively and significantly influence their online information disclosure. The study also found that government regulation has a significant impact on online information disclosure.Research limitations/implicationsThe study is cross-sectional in nature and cannot be generalized, and therefore, a longitudinal study could be conducted. Also, the study identified four antecedents of online users' privacy concerns. More antecedents and more sample data with other boundary conditions could have increased the predictive power of the model.Practical implicationsThis study will help practitioners to better understand the privacy concerns of online users, which could help them to develop better products and enhance service quality. Policymakers can develop regulations as per the online users' requirements to increase their confidence in disclosing personal information online and other online activities.Originality/valueFew studies have dealt with online users' information disclosure and their privacy concerns or the moderating role of government regulations on online information disclosure. The study is unique as its proposed model is the first that accounts for both online users' privacy concerns and government regulation and their online information disclosure.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.