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Video game streaming (VGS) is emerging as an extremely popular, highly interactive, inordinately subscribed and very dynamic form of digital media. Incorporated environmental elements, gratifications and user pre-existing attitudes in VGS, this paper presents the development of an extended model of uses and gratification theory (EUGT) for predicting users' behavior in novel technological context.

The proposed model was empirically tested in VGS context due to its popularity, interactivity and relevance. Data collected from 308 VGS users and structural equation modeling (SEM) was employed to assess the hypotheses. Multi-model comparison technique was used to assess the explanatory power of EUGT.

The findings confirmed three significant types elements in determining VGS viewers' engagement, including gratifications (e.g. involvement), environmental cues (e.g. medium appeal) and user predispositions (e.g. pre-existing attitudes). The results revealed that emerging technologies provide potential opportunities for new motives and gratifications, and highlighted the significant of pre-existing attitudes as a mediator in the gratification-uses link.

This study is one of its kind in tackling the criticism on UGT of considering media users too rational or active. The study achieved this objective by considering environmental impacts on user behavior which is largely ignored in recent UGT studies. Also, by incorporating users pre-existing attitudes into UGT framework, this study conceptualized and empirically verified the higher explanatory power of EUGT through a novel multi-modal approach in VGS. Compared to other rival models, EUGS provides a more robust explanation of users' behavior. The findings contribute to the literature of UGT, VGS and users' engagement.

In the actual livestreaming background, to obtain more income, some broadcasters will transform their original single role orientation into mixed one. This research study aims to conduct an empirical study on the influence of the broadcasters' role orientation transformation on the viewers' tipping behavior.

The authors collect data from Kuai, a leading online live streaming service provider in China. The dataset includes 175,701 live streaming data from 971 broadcasters in 7 months. To avoid unobservable factors, the authors adopt two difference-in-differences (DID) models to estimate the effect of two kinds of broadcaster's role orientation transformation on the broadcaster’s direct income separately. And the authors use the Heckman-type correction to solve broadcasters’ self-selected problem.

The authors evaluated that there is a U-shape relationship between the broadcasters' role orientation transformation and their direct income. The broadcasters' direct income experienced a sharp decline for a short period of time after transformation and followed by a rise after a period of adaptation. And for broadcasters with different genders and amounts of fans, the influence degree of role orientation transformation is various.

This paper provides a fresh usage of the regulatory engagement theory in the brand new information communication technology. And it also explores the boundary effect of the participating object's self-factors in the regulatory engagement theory. Besides, this paper expands the research of livestreaming into natural background. Such results also provide operable suggestions for the livestream platform, the broadcaster himself and the enterprises who want to employ some broadcasters to recommend their products.

The paper aims to propose and validate a process-based model to enhance managerial effectiveness among micro, small and medium enterprises (MSMEs). It has been observed that business uncertainties and inadequate financial resources that MSME entrepreneurs and managers face require them to constantly engage in strong self-awareness and self-regulating behavior to enhance the efficacy in their roles and, henceforth, their role performance effectiveness.

The approach for data collection was based on the clustering of MSMEs belonging to the clusters machine tool, pump manufacturing, foundry, textile and auto-component clusters in India. The respondents to the study were MSME entrepreneurs and managers who oversee and manage multiple functions like operations, quality, marketing, sales, supply chain management, procurement, personnel and administration and general administration.

The self-efficacy of entrepreneurial managers of MSMEs is observed to play an integral role in enhancing the efficacy of their roles, thus highlighting the use of a process-based perspective while dealing with constant resource constraints and excessive dynamism in their business contexts. The ability to handle multiple tasks effectively and resilience to manage challenges enhances their role-making process, which is significant in achieving and sustaining goal-oriented behavior among MSME entrepreneurs and managers.

This paper would serve as an effective model for entrepreneurs and managers to enhance their efficacy in the individual and interdependent role context, which would help achieve their individual and organizational goals. The model emphasizes a process-based perspective that thrusts the need to relate to the organizational context, enhancing individual confidence for goal-related behavior and fulfilling their role-related expectations.

This paper presents a model of enhancing managerial effectiveness that discusses self-efficacy as antecedent behavior. Here, personal and environmental factors aid cognition to one’s capability to construct reality, self-regulate, encode information and engage in effective managerial action.

We explore the skills required for digital leadership for reshaping existing business models toward digital models. Digital leadership is pivotal in gaining a competitive advantage and achieving successful digital transformation. However, little is known with regard to the underlying mechanisms related to digital leadership and transformation.

Data are collected through semi-structured interviews involving 20 participants from five Pakistani textile companies. Thematic analysis was employed as a data analysis tool.

Findings show that certain skills such as technological know-how, innovativeness, adaptability, ability to lead and steer, honesty, integrity, transformative vision, communication and collaboration are conducive to successful digital transformation in textile manufacturing firms. Similarly, digital leaders can significantly enhance business model innovation, create value for the firm, help develop new products (value proposition) and create Ecosystem partnerships (value network).

This article bridges gaps between existing literature on digital transformation and leadership. Digital leadership skills for digital transformation and the role of digital leaders in business model innovation have not been explored before. The conceptual framework is put forth, propositions are proposed and the findings offer some future research directions.

This paper aims to explore the importance of knowledge-oriented leadership in the context of business model innovation (BMI) and open innovation. This study also seeks to explore the existence of a mediating effect of absorptive capacity.

Data were collected using a survey, from the information technology industry in India. The relationships proposed in the conceptual framework were tested with structural equation modeling (SEM) using Smart partial least squares (PLS) 3.

The findings highlight a positive influence of knowledge-oriented leadership on BMI and open innovation. Results also revealed that open innovation can facilitate BMI. Additionally, findings highlighted the mediating role of absorptive capacity in these relationships.

This study suggests that businesses should employ and value leaders who can create, transform, store and use knowledge resources. Companies that employ such leaders encourage the creation and exchange of new knowledge, which consequently would lead to the successful exploration of innovative approaches. A culture of open innovation would help managers break down barriers, overcome inertia and continuously test new business models to generate revenues, increase value, enhance organizational effectiveness and ultimately gain competitive advantage.

This study is one of the first to empirically contribute to the role of knowledge-oriented leadership and BMI from the perspective of open innovation.

This study explores the influence of the Top Management Team (TMT) social capital on business model innovation in business ecosystems.

This study examines the impact of internal and external TMT social capital on enterprises’ business model innovation, explores the relationship between internal and external TMT social capital, and investigates how business ecosystem health moderates the relationship between external TMT social capital and enterprises’ business model innovation. These hypotheses are proposed and tested using a hierarchical regression analysis with data from 168 Chinese firms.

First, both internal and external TMT social capital exert a significantly positive influence on an enterprise’s business model innovation. Second, internal TMT social capital positively contributes to the development of external TMT social capital, affecting business model innovation. Finally, the moderating effect of business ecosystem health on the relationship between external TMT social capital and business model innovation depends on the dimensions. Specifically, the productivity of the business ecosystem negatively moderates this relationship, whereas the niche creation capability of the business ecosystem has a positive moderating effect.

These findings enrich prior research on business model innovation within the business ecosystem, thoroughly exploring the critical role of TMT social capital. This study reveals the diverse impacts of internal and external TMT social capital on business model innovation and the intricate relationship between these elements. Furthermore, it emphasizes that the success of enterprise’s business model innovation within a business ecosystem depends on the alignment and adaptation to dynamic ecosystem conditions. By presenting these insights, this study provides valuable practical implications for enterprises aiming to cultivate social capital within business ecosystem to facilitate business model innovation.

The European Union (EU) has recently adopted gender quotas for corporate boards (CBQ), anticipating ripple effects on women’s careers in the companies concerned, as well as throughout the economy. The purpose of this paper is to investigate whether CBQ has spurred ripple effects and discuss mechanisms hindering or facilitating women’s occupancy of top executive positions.

Norway was the first country in the world to introduce CBQ in 2003, with full effect from 2008. The policy requires company boards to be composed of 40% of each gender. Drawing on original data mapping boards and executive committees in Norway’s 200 largest companies, the authors analyze the association between CBQ and the gender composition of executive management almost 15 years after the full implementation. The data include both companies covered by the CBQ and large companies not covered.

The investigation does not find a positive association between CBQ and more women in executive positions. Thus, the ripple effect hypothesis of CBQ is not supported. CBQ may have contributed to an increased awareness of gender imbalances, yet these findings indicate that to achieve more gender balance in executive positions, scholars and practitioners may need to focus more on gendered conditions and processes in organizations and society throughout executive careers than on the gender composition of boards.

This paper provides empirical analyses of original data 15 years after the implementation of CBQ. The authors further contribute to scholarly debate by identifying and discussing possible mechanisms that explain how requiring more women on corporate boards may – or may not – have ripple effects on executive management.

Faculty play a unique role in universities performing duties along the three fronts of teaching, research and service. While it might be teaching that contributes most to the bottom line of a small university, it is often research by which faculty merit is judged. This study explores the relationships between role ambiguity, role conflict and commitment (affective, normative and continuance) as mediated by job satisfaction among faculty members.

A sample of 133 faculty members at a US-accredited university in Lebanon served as the basis for this study. The faculty members completed a survey covering scales on role ambiguity, role conflict, commitment and job satisfaction in addition to demographic variables.

We find that a decrease in role ambiguity strengthens affective and normative commitment but weakens continuance commitment. Structural equation modeling indicates that job satisfaction partially mediates the relationship between role ambiguity and affective commitment, while not mediating the relationship between role ambiguity and normative and continuance commitments. Similar findings hold for job satisfaction as a mediator in the relationship between role conflict and commitment.

Based on statistical modeling, this work (1) puts forth a revised scale for organizational commitment tailored to academia and (2) provides guidance to higher education institutions in terms of the differential impacts on faculty commitment that stem from reducing role-ambiguity versus role-conflict. Managerial recommendations focus on improving normative and affective commitment through the design of policies to reduce role conflict among faculty.

This study aims to explore the evolution of corporate governance through a 100-year-old Italian Barilla pasta family business from its founding to 1971. The study builds on prior research which has applied the three-circle model of family business systems in a historic context.

Using legal records, five phases in the history of Barilla are noted. Annual reports and other sources have allowed for some more insights into business events and developments. Then, drawing on the three-circle model of family business, the corporate governance regime is mapped to the model and the family actors.

The findings here support extant literature in that the systems in the three-circle model are found to overlap more in a historic setting. Challenges with the three-circle model are also noted, specifically, when corporate governance is considered across a century of an organisation’s history.

This study supports prior use of three-circle model of a family business in an historic context, providing further evidence the model is not static over time. Contrary to the original three-circle model, this study suggests that family actors can potentially occupy more than one location in the model if the non-human actor of corporate governance and its effect on human actors is also considered.

This paper seeks to explore the sensitivity of these parameters and their impact on fiscal policy outcomes. We use the existing literature to establish possible ranges for each parameter, and we examine how changes within these ranges can alter the outcomes of fiscal policy. In this way, we aim to highlight the importance of these parameters in the formulation and evaluation of fiscal policy.

The role of fiscal policy, its effects and multipliers continues to be a subject of intense debate in macroeconomics. Despite adopting a New Keynesian approach within a macroeconomic model, the reactions of macroeconomic variables to fiscal shocks can vary across different contexts and theoretical frameworks. This paper aims to investigate these diverse reactions by conducting a sensitivity analysis of parameters. Specifically, the study examines how key variables respond to fiscal shocks under different parameter settings. By analyzing the behavioral dynamics of these variables, this research contributes to the ongoing discussion on fiscal policy. The findings offer valuable insights to enrich the understanding of the complex relationship between fiscal shocks and macroeconomic outcomes, thus facilitating informed policy debates.

This paper aims to investigate key elements of New Keynesian Dynamic Stochastic General Equilibrium (DSGE) models. The focus is on the calibration of parameters and their impact on macroeconomic variables, such as output and inflation. The study also examines how different parameter settings affect the response of monetary policy to fiscal measures. In conclusion, this study has relied on theoretical exploration and a comprehensive review of existing literature. The parameters and their relationships have been analyzed within a robust theoretical framework, offering valuable insights for further research on how these factors influence model forecasts and inform policy recommendations derived from New Keynesian DSGE models. Moving forward, it is recommended that future work includes empirical analyses to test the reliability and effectiveness of parameter calibrations in real-world conditions. This will contribute to enhancing the accuracy and relevance of DSGE models for economic policy decision-making.

This study is motivated by the aim to provide a deeper understanding of the roles macroeconomic model parameters play concerning responses to expansionary fiscal policies and the subsequent reactions of monetary authorities. Comprehensive reviews that encompass this breadth of relationships within a single text are rare in the literature, making this work a valuable contribution to stimulating discussions on macroeconomic policies.