Review of Business Management

A cross-level study on the impact of team-based reward allocation on employees' innovative behavior in manufacturing enterprises

Tiening LI — 2024-10-04

Purpose – This study aims to investigate the cross-level impact of different team compensation distributions on team members' innovative work behaviors within innovative teams of Chinese manufacturing enterprises, as well as whether the task interdependence of teams has a cross-level moderating effect.

Theoretical framework – Cognitive choice theory and the planned behavior theory are utilized to elucidate the relationship between team compensation distribution and team members' innovative intentions, as well as the relationship between team members' innovative work behaviors.

Design/methodology/approach – The hypotheses are tested using cross-level structural equation modeling (MSEM) with 328 pairs of matched data from two stages and two parties across 12 manufacturing companies in China.

Findings – The results show that team-based reward allocation is positively related to employee innovative behavior by promoting employee innovative intention. Task interdependence weakened the direct effect of team-based reward allocation on employee innovative intention and the indirect effect on employee innovative behavior.

Research Practical & Social implications – This study reveals that the differences in team compensation distribution are one of the important factors affecting team members' innovative behaviors. Researchers and managers should consider the degree of interdependence of the tasks undertaken by the team before implementing a certain distribution method.

Originality/value – This study provides the first empirical results on how team-based reward allocation affects employee innovative behavior and examines the mechanisms and pathways of the variables involved in the context of Chinese manufacturing enterprises, contributing to filling a gap in the field of research on team compensation affecting employee innovation and expanding cross-level research on team compensation allocation.

Leader-follower gender and job satisfaction. A two-wave study from Europe

Amaya Erro-Garcés — 2024-10-04

Purpose – This paper studies leadership behavior in relation to leader gender, gender congruence, and their relationships with employee job satisfaction over time.

Theoretical framework – Drawing on the perspective of gender stereotypes and the role congruity framework, this study examines how communal stereotypes socially attributed to females can compromise their assessment as competent leaders.

Design/methodology/approach – Two sets of data from the European Working Conditions Survey were studied. Mean comparisons and multivariate regression analyses were carried out on samples of 25,649 at Time 1 and 26,047 at Time 2.

Findings – The main findings show different leadership behaviors between male and female leaders. Contrary to expectations, females displayed more of both instrumental- and relationship-oriented behaviors, and this difference has increased over time. However, fewer differences are observed in instrumental-oriented behaviors. The results also suggest that employees’ gender affects how some leadership behaviors are perceived. Finally, no gender differences were found in job satisfaction, as the behaviors studied positively relate to it.

Practical & social implications of research – From a practical perspective, fostering a diverse array of leadership behaviors is important for enhancing employee job satisfaction within organizations. Female leaders are increasingly viewed positively in the workplace.

Originality/value – Female leaders show a more versatile set of leadership behaviors compared to their male counterparts. Differences in relationship-oriented behaviors persist, and the gender of the employee is important in perceiving which behaviors male or female leaders engage in more.

Asset Pricing: An Alternative Estimation for the Five-Factor Model

Renan Oliveira Regis — 2024-10-04

Purpose – This paper introduces a comprehensive approach to estimating the five-factor model in financial markets, emphasizing flexibility and predictive improvement via GAMLSS models. We highlight the innovative potential of this methodology in asset pricing theory.

Theoretical framework – This paper seeks to evaluate the behavior of asset prices under conditions of uncertainty. Fama and French (2015) inspired us to present an extension via structured additive distributional regression using GAMLSS for the five-factor model.

Design/methodology/approach – The sample contains information from the Brazilian financial market from 1994 to 2018. Given the violation of the conditional normal distribution commonly observed in these data, we propose adopting GAMLSS modeling. This approach allows for the flexibility of probability distributions associated with stock portfolio returns, more accurately accommodating location and scale.

Findings – GAMLSS modeling significantly enhances predictive performance, providing a robust alternative to traditional models that use the normal distribution. Furthermore, no evidence of specification error was observed using GAMLSS models, reinforcing their reliability.

Practical & social implications of research – The use of flexible GAMLSS modeling for asset pricing is proposed In the Brazilian financial market. This would improve decision-making capacity related to financial markets and asset pricing.

Originality/value – In terms of contribution, the article proposes a new estimation approach for the five-factor model using GAMLSS models.

Conscious Business Practices as a Driver of Reputational Capital in SMEs

Marcia Lorena RodrÍguez-Aldana — 2024-10-04

Purpose – The purpose of this study is to examine how reputational capital (RC) can be affected by the pillars of Conscious Capitalism as operationalized in conscious business practices (CBPs). Specifically, the practices were measured against four key tenets: higher purpose, stakeholder integration, conscious leadership, and conscious culture.

Theoretical framework – RC, from the perspective of the resource-based view (RBV) theory, is considered a scarce and valuable resource that allows companies to achieve a competitive advantage. Specifically, businesses that stand out for their commitment to ethical and conscious business practices leverage their RC to gain legitimacy, credibility, and access to resources.

Design/methodology/approach – This study adopted a post-positivist paradigm with a quantitative approach. Data were collected from small and medium-sized enterprises (SMEs) located in the western region of Mexico using an online survey. Using structural equation modeling, 115 valid responses were analyzed to test hypotheses derived from the proposed theoretical model.

Findings – The RC of SMEs can be developed by declaring and operating according to a higher purpose and conscious culture. In this sample, stakeholder integration and conscious leadership did not directly impact RC.

Originality/value – This study contributes to the literature on RC by exploring its development in SMEs in emerging economies. From a managerial perspective, it highlights the potential for SMEs to gain a competitive advantage by adopting CBPs and enhancing their RC.

Corporate Financialization in Brazil: The "Big Three" Blockholders and Horizontal Ownership

Wilton Vicente Gonçalves da Cruz — 2024-10-04

Purpose – Institutional investing has grown at an unprecedented rate in recent decades. Three major firms dominate the industry worldwide: BlackRock, Vanguard Group and State Street, or the "Big Three." This study investigates the strategy of blockholders in the ownership of companies operating in the Brazilian economy from the perspective of strategic action field theory.

Theoretical framework – The growth of international institutional investors as shareholders in the corporate market is associated with the strengthening of the financialization process. Strategic action field theory allows the study of conflict and cooperation relationships between actors in economic and business contexts, as well as changes in these fields.

Design/methodology/approach – This study proposes an exploratory and descriptive analysis using a sample of 200 large companies operating in Brazil. Also, Pearson's correlation measures and multiple correspondence analysis (MCA) were calculated to understand the relationships between shareholding variables and investments in sectors of activity.

Findings – These institutional investors are present in most of the equity positions and the results suggest horizontal ownership investments in the portfolio of the "Big Three" in the large companies operating in Brazil. Their investment portfolios are focused on industries and segments with high economic value through horizontal ownership.

Practical & social implications of research – The actions of these three major investors affect aspects of corporate governance and influence the economy as a whole.

Originality/value – This article presents an original analysis of the investments of the "Big Three" as shareholders in companies operating in Brazil. This paper also addresses the intensification of the phenomenon of financialization and its links with the emergence of institutional investors as shareholders in large companies.

Beyond the Screen: A Creative Exploration of Content that Engages on YouTube Discussed by Social Media Influencers

Ana Cristina Munaro — 2024-10-04

Purpose – The study aims to investigate the most popular content discussed by social media influencers on YouTube and its associated valence, to delineate the content categories favored by top Brazilian influencers, and to assess their impact on consumer digital engagement.

Theoretical framework – This study draws upon influencer marketing, social media influencer (SMI) literature, and digital engagement.

Design/methodology/approach – A data mining approach was used. The methodology includes the collection of video post characteristics, engagement metrics, and audio transcriptions from 34,563 videos on 103 YouTube channels. After textual preprocessing, a topic modeling stage is performed using the Latent Dirichlet Allocation (LDA) algorithm and sentiment analysis.

Findings – The study identified 19 critical dimensions of video content on YouTube. The top 3 content categories with the highest user digital engagement are: Family, Entertainment/General, and Culture & Entertainment. The sentiment analysis shows that content about Beauty, Gastronomy, and Economics, Entrepreneurship & Business have the highest proportional positive valence. Politics, Economy & News, Entertainment/General, and Gaming have high percentages of negative valence.

Practical & social implications of research – The results provide a deep understanding of YouTube's popular content and digital engagement rates. This is essential for companies and SMIs looking to maximize their reach, resonate with their target audience, and stay competitive in the dynamic digital landscape. It allows for more effective communication, content creation, and strategic decision-making.

Originality/value – Understanding the content on YouTube can provide valuable insights for businesses, marketers, and content creators to optimize their communication strategies.