Search results

This study clarifies the factors that foster individual innovative behaviour in the public sector by examining the effects and roles of empowering leadership, work group cohesiveness and individual learning orientation. This study also explores the direct effect of empowering leadership on work group cohesiveness and individual learning orientation, the influence of work group cohesiveness on individual learning orientation and the mediating roles of work group cohesiveness and individual learning orientation.

Data were collected from an online survey of respondents working in a public sector organization. Partial least squares structural equation modelling and mediation analysis by the bootstrap method were used for the data analysis.

Empowering leadership and individual learning orientation had significant direct effects on individual innovative behaviour. Both empowering leadership and work group cohesiveness have significant direct effects on individual learning orientation. Empowering leadership was positively related to work group cohesiveness. The mediation analysis revealed that individual learning orientation mediates the relationships between empowering leadership and individual innovative behaviour and between work group cohesiveness and individual innovative behaviour.

The study focuses on three factors that foster individual innovative behaviour in a public sector organization.

This study offers new insights into the factors that foster individual innovative behaviour in the public sector. The findings reveal the importance of using a balanced leadership style and encourage learning in the workplace for individual innovativeness by public leaders.

Human group behavior is the driving force behind many complex social and economic phenomena. Few studies have integrated multi-dimensional travel patterns and city interest points to construct urban security risk indicators. This paper combines traffic data and urban alarm data to analyze the safe travel characteristics of the urban population. The research results are helpful to explore the diversity of human group behavior, grasp the temporal and spatial laws and reveal regional security risks. It provides a reference for optimizing resource deployment and group intelligence analysis in emergency management.

Based on the dynamics index of group behavior, this paper mines the data of large shared bikes and ride-hailing in a big city of China. We integrate the urban interest points and travel dynamic characteristics, construct the urban traffic safety index based on alarm behavior and further calculate the urban safety index.

This study found significant differences in the travel power index among ride-sharing users. There is a positive correlation between user shared bike trips and the power-law bimodal phenomenon in the logarithmic coordinate system. It is closely related to the urban public security index.

Based on group-shared dynamic index integrated alarm, we innovatively constructed an urban public safety index and analyzed the correlation of travel alarm behavior. The research results fully reveal the internal mechanism of the group behavior safety index and provide a valuable supplement for the police intelligence analysis.

The purpose of this study is to effectively optimize vehicle lane-changing behavior and alleviate traffic congestion in ramp area through the study of vehicle lane-changing behaviors in upstream segment of ramp areas.

In the upstream segment of ramp areas under a connected vehicle environment, different strategies of vehicle group lane-changing behaviors are modeled to obtain the best group lane-changing strategy. The traffic capacity of roads can be improved by controlling group lane-changing behavior and continuously optimizing lane-changing strategy through connected vehicle technologies. This paper constructs vehicle group lane-changing strategies in upstream segment of ramp areas under a connected vehicle environment. The proposed strategies are simulated by VISSIM.

The results show that different lane-changing strategies are modeled through vehicle group in the upstream segment of ramp areas, which can greatly reduce the delay of ramp areas.

The simulation results verify the validity and rationality of the corresponding vehicle group lane-changing behavior model strategies, effectively standardize the driver's lane-changing behavior, and improve road safety and capacity.

Managers must make numerous strategic decisions in order to initiate and implement a business model innovation (BMI). This paper examines how managers perceive the management team interacts when making BMI decisions. The paper also investigates how group biases and board members’ risk willingness affect this process.

Empirical data were collected through 26 in-depth interviews with German managing directors from 13 companies in four industries (mobility, manufacturing, healthcare and energy) to explore three research questions: (1) What group effects are prevalent in BMI group decision-making? (2) What are the key characteristics of BMI group decisions? And (3) what are the potential relationships between BMI group decision-making and managers' risk willingness? A thematic analysis based on Gioia's guidelines was conducted to identify themes in the comprehensive dataset.

First, the results show four typical group biases in BMI group decisions: Groupthink, social influence, hidden profile and group polarization. Findings show that the hidden profile paradigm and groupthink theory are essential in the context of BMI decisions. Second, we developed a BMI decision matrix, including the following key characteristics of BMI group decision-making managerial cohesion, conflict readiness and information- and emotion-based decision behavior. Third, in contrast to previous literature, we found that individual risk aversion can improve the quality of BMI decisions.

This paper provides managers with an opportunity to become aware of group biases that may impede their strategic BMI decisions. Specifically, it points out that managers should consider the key cognitive constraints due to their interactions when making BMI decisions. This work also highlights the importance of risk-averse decision-makers on boards.

This qualitative study contributes to the literature on decision-making by revealing key cognitive group biases in strategic decision-making. This study also enriches the behavioral science research stream of the BMI literature by attributing a critical influence on the quality of BMI decisions to managers' group interactions. In addition, this article provides new perspectives on managers' risk aversion in strategic decision-making.

The study aimed to understand the significance of how employee personhood and the act of speaking up is shaped by factors such as employees' professional status, length of employment within their hospital sites, age, gender and their ongoing exposure to unprofessional behaviours.

Responses to a survey by 4,851 staff across seven sites within a hospital network in Australia were analysed to interrogate whether speaking up by hospital employees is influenced by employees' symbolic capital and situated subjecthood (SS). The authors utilised a Bourdieusian lens to interrogate the relationship between the symbolic capital afforded to employees as a function of their professional, personal and psycho-social resources and their self-reported capacity to speak up.

The findings indicate that employee speaking up behaviours appear to be influenced profoundly by whether they feel empowered or disempowered by ongoing and pre-existing personal and interpersonal factors such as their functional roles, work-based peer and supervisory support and ongoing exposure to discriminatory behaviours.

The findings from this interdisciplinary study provide empirical insights around why culture change interventions within healthcare organisations may be successful in certain contexts for certain staff groups and fail within others.

China is the world’s largest user market for digital technologies and experiencing unprecedented rates of rural-urban migration set to create the world’s first “urban billion”. This is an important context for studying nuanced adoption behaviours that define a digital divide. Large-scale studies are required to determine what behaviours exist in such populations, but can offer limited ability to draw inferences about why. The purpose of this paper is to report a large-scale study inside China that probes a nuanced “digital divide” behaviour: consumer demographics indicating ability to pay by electronic means but behaviour suggesting lack of willingness to do so, and extends current demographics to help explain this.

The authors report trans-national access to commercial “Big Data” inside China capturing the demographics and consumption of millions of consumers across a wide range of physical and digital market channels. Focusing on one urban location we combine traditional demographics with a new measure that reflecting migration: “Distance from Home”, and use data-mining techniques to develop a model that predicts use behaviour.

Use behaviour is predictable. Most use is explained by value of the transaction. “Distance from Home” is more predictive of technology use than traditional demographics.

Results suggest traditional demographics are insufficient to explain “why” use/non-use occurs and hence an insufficient basis to formulate and target government policy.

The authors understand this to be the first large-scale trans-national study of use/non-use of digital channels within China, and the first study of the impact of distance on ICT adoption.

In the presence of coronavirus disease 2019 (COVID-19), due to the social distance restriction, consumers' regular consumption behaviors and patterns have been changing fundamentally. Thereafter, an innovative group buying model has emerged and developed explosively with a specific focus on consumer's location, known as community-based group buying (CGB). The purpose of this paper is to investigate the transfer mechanism of user's trust in dyadic contexts of social and commercial role-playing in the CGB program.

This study adopts an empirical research method, with an online and offline questionnaire survey, a total of 382 responses have been obtained. Then, both descriptive analysis and hierarchical regression analysis are conducted to explore the dual roles of group leader and its corresponding effects on consumers' trust (i.e. emotional trust and behavioral trust) and engagement actions (i.e. purchase and share) in the CGB program.

Results indicate that resident's trust and their perception of group leader's friend role can positively enhance their engagement actions in the CGB programs. Meanwhile, for the purpose of profit maximization, the group leader is more willing to play a friend role in transactions no matter whether the role conflict exists.

Research findings provide some managerial insights for CGB platform on the selection and training of group leaders and the incentive mechanism design.

Collaboration is a common phenomenon in human society. The best way of collaborations can make the group achieve the best interests. Because of the low cost and high repeatability of simulation, it is a good method to explore the best way of collaborations by means of simulation. The traditional simulation is difficult to adapt to the crowd intelligence network simulation, so the crowd collaborations simulation is proposed.

In this paper, the atomic swarm intelligence unit and collective swarm intelligence unit are proposed to represent the behavior of individuals and groups in physical space and the interaction between them.

To explore the best collaboration mode of the group, a framework of crowd collaborations simulation is proposed, which decomposes the big goal into the small goals by constructing the cooperation chain and analyzes the cooperation results and feeds them back to the next simulation.

Two kinds of swarm intelligence units are used to represent the simulated individuals in the group, and the pattern is used to represent individual behavior. It is suitable for the simulation of collaboration problems in various types and situations.

This paper aims to understand real earnings management behavior in the context of a parent–subsidiary relationship. It explores the differences between business groups and firms that do not have controlled subsidiaries and provides potential explanations for any measured difference.

The study uses the random-effects generalized least squares (GLS) estimation to find the difference between the real earnings management behavior of business groups, represented by the ultimate parent firms and the nonparent firms from 73 countries.

The results show that ultimate parent firms have lower abnormal production costs and abnormal discretionary expenses than nonparent firms. In contrast, parent firms have higher abnormal cash flow from operations (CFO) than nonparent firms. The results are unexpected because abnormal production costs usually have a dominant direct relationship with abnormal CFO. The results indicate that business groups use a route different from manipulating production costs and discretionary expenses.

The results reveal that parent firms use a route different from manipulating production costs and discretionary expenses. The results can be used to extend the discussion to specific business group cases, such as tracing the route or allocation of real earnings management (REM) pressure from a parent firm to its listed and private subsidiaries, and if the consolidation of minority voting rights and the transitivity of control affect the behavior in its subsidiaries.

Instead of the degree of diversification or affiliation, this paper investigates REM behavior based on the parent firm's control of its subsidiaries. With this approach, the study argues that business groups prefer a route other than manipulating production costs and discretionary expenses. The results may redirect the attention of regulators to the activities of parent firms that need more policing.

The purpose of this paper is to examine the influence of two potentially important antecedents of female Generation Y consumers’ attitudes towards beauty products. In particular, the impact of the media and groups is analysed through their influence on subjective norms.

Structural equation modelling analysis of moment structures was used to propose and test a research model by means of data from a substantial size of female Generation Y consumers.

The study’s results confirm that female Generation Y consumers have a favourable attitude towards beauty products and that this attitude is influenced by their subjective norms. Furthermore, the findings suggest that group influence, which includes the opinions of friends, family and peers and media influence both predict female Generation Y consumers’ favourable attitude towards beauty products via their influence on this segment’s subjective norms.

These results emphasise the strategic importance of incorporating subjective norms, together with media and group influence into beauty product marketing communication campaigns targeting female Generation Y consumers. Given that this generation is known to be prevalent users of social media and often consult online peer product reviews, such strategies should also be extended beyond traditional media platforms to include social media, particularly social media influencers and online product review platforms, thereby tapping into subjective norms and group influence.

This study contributes to understanding female Generation Y consumers’ attitudes towards beauty products, especially the combined influence of subjective norms and media and group influence on such attitudes.

El propósito de este trabajo es examinar la influencia de dos antecedentes potencialmente importantes de las actitudes de las consumidoras de la Generación Y hacia los productos de belleza. En concreto, se estudia la influencia de los medios de comunicación y de los grupos a través de su influencia en las normas subjetivas.

Se empleó el análisis de modelos de ecuaciones estructurales de estructuras de momento para proponer y probar un modelo de investigación mediante datos de un tamaño considerable de consumidoras de la Generación Y.

Los resultados del estudio confirman que las consumidoras de la Generación Y tienen una actitud favorable hacia los productos de belleza y que esta actitud está influenciada por sus normas subjetivas. Además, los resultados sugieren que la influencia del grupo, que incluye las opiniones de amigos, familiares y compañeros, y la influencia de los medios de comunicación predicen la actitud favorable de las consumidoras de la Generación Y hacia los productos de belleza a través de su influencia en las normas subjetivas de este segmento.

Estos resultados enfatizan la importancia estratégica de incorporar las normas subjetivas, junto con la influencia de los medios de comunicación y del grupo, en las campañas de comunicación de la comercialización de productos de belleza dirigidas a las consumidoras de la Generación Y. Dado que se sabe que esta generación es la usuaria habitual de los medios sociales y suele consultar en línea las revisiones de los productos, esas estrategias también deberían ampliarse más allá de las plataformas de los medios de comunicación tradicionales para incluir los medios sociales, en particular las personas que ejercen influencia en los medios sociales, y las plataformas de revisión de productos en línea, aprovechando así las normas subjetivas y la influencia del grupo.

Este estudio contribuye a comprender las actitudes de las consumidoras de la Generación Y respecto de los productos de belleza, especialmente la influencia combinada de las normas subjetivas y la influencia de los medios de comunicación y los grupos en esas actitudes.

摘要

本文旨在研究两个重要的潜在因素，对Y世代女性消费者对美容产品态度的影响。具体来说，是通过媒体和群体对主观规范的影响来进行分析。

本研究采用结构方程模型分析力矩结构，结合相当规模的Y世代女性消费者的数据，提出并检验研究模型。

研究结果证实，Y世代女性消费者对美容产品持积极态度，而且这种态度受到她们主观规范的影响。此外，研究结果表明，群体影响（包括朋友、家人和同伴的意见）和媒体影响都能通过对Y世代女性消费者主观规范的影响来预测她们对美容产品的好感度。

本文的研究结果强调了将主观规范和媒体、群体影响纳入针对Y世代女性消费者的美容产品营销传播活动的战略重要性。由于Y世代是社交媒体的普遍用户，并且经常查看其他用户评价，因此这种策略应该超越传统媒体平台，将社交媒体，特别是社交媒体网络红人和在线产品评论平台纳入其中，利用他们对消费者主观规范和群体的影响力。

本研究有助于了解Y世代女性消费者对美容产品的态度，特别是主观规范和媒体、群体对这种态度的综合影响。