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1 – 10 of over 111000Rozbeh Madadi, Ivonne M. Torres, Reza Fazli-Salehi and Miguel Ángel Zúñiga
This paper aims to explore the effectiveness of ethnically targeted ads in developing consumer–brand relationships through an application of social identification theory and…
Abstract
Purpose
This paper aims to explore the effectiveness of ethnically targeted ads in developing consumer–brand relationships through an application of social identification theory and elaboration likelihood model among African American consumers in the service sector.
Design/methodology/approach
Study 1 used a 2 (service type: hedonic vs utilitarian) × 2 (strength of ethnic identification: high vs low) between-subjects experimental design. Study 2 used the same experimental design, procedure and ads as Study 1.
Findings
Taken together, the findings from these two studies demonstrate how ethnically targeted advertising, in conjunction with service type, can influence consumer–brand relationships. The results showed that those with high strength of ethnic identification had more brand love, as well as higher intentions to spread positive word-of-mouth, purchase intention and brand loyalty for hedonic services, but that this effect was not significant for utilitarian services.
Research limitations/implications
The environments in which advertisements appear (e.g. in an in-store display or a magazine advertisement) is important, and consumers’ reactions to targeted ads in various environments should be considered in future research. Future studies should also examine the role of individuals’ personality traits and level of acculturation in determining their relationships with brands.
Originality/value
Across two studies, the authors demonstrated that ethnic ads are more effective for African American individuals with high level of ethnic identification especially for hedonic services.
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Wenjing Chen, Bowen Zheng and Hefu Liu
Employee voice is crucial for organizations to identify problems and make timely adjustments. However, promoting voice in organizations is challenging. This study aims to…
Abstract
Purpose
Employee voice is crucial for organizations to identify problems and make timely adjustments. However, promoting voice in organizations is challenging. This study aims to investigate how social media use (SMU) in the workplace affects employee voice by examining its intrinsic mechanisms and boundary conditions. Specifically, this study examines the mediating roles of social identifications and the moderating effects of job-social media fit on the relationship between SMU and social identifications.
Design/methodology/approach
This study conducted a survey of 348 employees in China.
Findings
First, SMU affects voice through social identifications. Second, distinct identifications have different effects on voice, such that organizational identification positively affects employee voice, while relational identification positively affects promotive voice and negatively affects prohibitive voice. Third, when social media is highly suitable for the job, the positive effect of work-related SMU on organizational identification is strengthened, while the positive effect of social-related SMU on organizational identification is weakened.
Originality/value
The results indicate that different identifications have distinct impacts on voice. Additionally, this study reveals a double-edged sword effect of SMU on voice through different social identifications. Further, job-social media fit moderates the relationship between SMU and social identifications. These findings have important implications for organizations adopting social media.
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Linna Zhu, Hui Yang, Yong Gao and Qiong Wang
Targeting at the inconsistent relationship between protean career orientation and turnover intentions, this study aims to uncover when and why such inconsistency occurs. It…
Abstract
Purpose
Targeting at the inconsistent relationship between protean career orientation and turnover intentions, this study aims to uncover when and why such inconsistency occurs. It emphasized the mediating role of organizational identification and moderating effects of current organizational career growth and future organizational career growth prospect.
Design/methodology/approach
The authors conducted a three-wave time-lagged study over seven months, with a sample of 1,012 participants from various occupations.
Findings
The relationship of protean career orientation to turnover intentions via organizational identification was negative when current organizational career growth was high, and it was positive when current growth was low. Future organizational career growth prospect weakened organizational identification–turnover intentions relationship. Those two moderators jointly influenced the indirect relationship. For employees low in both states, the positive indirect relationship was the most significant.
Originality/value
By integrating social identity theory and social cognitive theory, this study provides a comprehensive understanding of protean career orientation–turnover intentions relationship. It also enriches studies on protean career orientation and organizational identification–turnover intentions relationship.
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Wooyoung (William) Jang, Wonjun Choi, Min Jung Kim, Hyunseok Song and Kevin K. Byon
This study aimed to understand better what makes esports fans engage with streamers' live-streaming of esports gameplay. This study used the Theory of Planned Behavior (TPB) and…
Abstract
Purpose
This study aimed to understand better what makes esports fans engage with streamers' live-streaming of esports gameplay. This study used the Theory of Planned Behavior (TPB) and additionally adopted streamer identification and esports game identification as moderating variables.
Design/methodology/approach
Data were collected from streamers' esports content streaming viewers over 18 years of age using an online survey in Amazon M-Turk (N = 307). Based on past esports live-streaming weekly watching hours, which range from 1 to 45 h, the participants were divided into lower (n = 152) and higher (n = 155) frequency groups. PLS-SEM and bootstrapping techniques were used to test the moderated mediation relationships among the constructs.
Findings
This study found a negative moderating effect of past watching experience on the relationship between attitudes and behavioral intention, and it positively moderated the path between perceived behavioral control and behavioral intention. Also, it was found statistically significant direct impacts of streamer identification (STI) and esports game identification (EGI) on attitude and subjective norms. While the indirect impact of STI on behavioral intention through attitude was statistically significant, there were no significant indirect impacts of EGI on attitude and behavioral intention through subjective norms.
Originality/value
Theoretically, this study extends the TPB model by exploring the two identifications (i.e. streamers and esports games) as antecedents of the focal TPB factors (i.e. attitudes, subjective norms and perceived behavioral control) and the moderating effect of prior experience based on high/low weekly watching frequencies. Practically, content creators of esports live-streaming and live-streaming platform managers can use the study’s findings to develop strategies to nurture their current and future viewership.
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Qurat-ul-Ain Burhan and Muhammad Asif Khan
Empowering leadership has a wide range of positive individual employee-related outcomes. However, a limited number of research studies are available emphasizing the overall…
Abstract
Purpose
Empowering leadership has a wide range of positive individual employee-related outcomes. However, a limited number of research studies are available emphasizing the overall organization-related outcomes. The major aim of this study is to delve into the function of organizational identification and intellectual capital (structural, relational and human) in mediating the relationship between empowering leadership and organizational innovativeness. Depending upon the resource-based view theory, this study comprehensively investigates the sequential effects of empowered leadership on the mediating roles of organizational identification and intellectual capital in organizational innovativeness.
Design/methodology/approach
Data were gathered through a self-administered questionnaire, which got 337 responses from telecom employees. To evaluate the hypotheses, the data were analyzed in SEM-M-Plus using exploratory and confirmatory factor analyses.
Findings
The findings demonstrate that empowering leadership impacts organizational innovativeness with the sequential mediation of organizational identification and intellectual capital (structural, human and social).
Practical implications
Organizations can identify and encourage leaders who exhibit empowering behaviors such as delegating responsibilities, providing autonomy and fostering a sense of ownership among employees. Also, organizations can foster intellectual capital by providing opportunities for learning, training and development. Additionally, knowledge sharing and collaboration can help to enhance the intellectual capital of employees.
Originality/value
While much research has been conducted on empowering leadership, the continued development of knowledge and the emergence of new perspectives related to identification and intellectual capital highlights the importance of exploring alternative paths that have been overlooked. Therefore, there is a pressing need to conduct research that takes into account these additional factors.
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Zaihua Luo, Juliang Xiao, Sijiang Liu, Mingli Wang, Wei Zhao and Haitao Liu
This paper aims to propose a dynamic parameter identification method based on sensitivity analysis for the 5-degree of freedom (DOF) hybrid robots, to solve the problems of too…
Abstract
Purpose
This paper aims to propose a dynamic parameter identification method based on sensitivity analysis for the 5-degree of freedom (DOF) hybrid robots, to solve the problems of too many identification parameters, complex model, difficult convergence of optimization algorithms and easy-to-fall into a locally optimal solution, and improve the efficiency and accuracy of dynamic parameter identification.
Design/methodology/approach
First, the dynamic parameter identification model of the 5-DOF hybrid robot was established based on the principle of virtual work. Then, the sensitivity of the parameters to be identified is analyzed by Sobol’s sensitivity method and verified by simulation. Finally, an identification strategy based on sensitivity analysis was designed, experiments were carried out on the real robot and the results were verified.
Findings
Compared with the traditional full-parameter identification method, the dynamic parameter identification method based on sensitivity analysis proposed in this paper converges faster when optimized using the genetic algorithm, and the identified dynamic model has higher prediction accuracy for joint drive forces and torques than the full-parameter identification models.
Originality/value
This work analyzes the sensitivity of the parameters to be identified in the dynamic parameter identification model for the first time. Then a parameter identification method is proposed based on the results of the sensitivity analysis, which can effectively reduce the parameters to be identified, simplify the identification model, accelerate the convergence of the optimization algorithm and improve the prediction accuracy of the identified model for the joint driving forces and torques.
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Kirsty Wright, Amy Mundorff, Janet Chaseling, Christopher Maguire and Denis I. Crane
The purpose of this paper is to reveal difficulties associated with identifying child victims of the 2004 South-East Asia Tsunami at the Thai Tsunami Victim Identification (TTVI…
Abstract
Purpose
The purpose of this paper is to reveal difficulties associated with identifying child victims of the 2004 South-East Asia Tsunami at the Thai Tsunami Victim Identification (TTVI) operation in Phuket and explores two strategies that increased child identifications.
Design/methodology/approach
Data allowing comparison of identification proportions between adult and child (defined as ⩽16 years old) victims of six nationalities and the forensic methods used to establish identification were used in this study.
Findings
The first 100 days of the operation revealed that the proportion of adult identifications far outweighed the proportion of child identifications. Moreover, the younger the child, the longer the identification process took (p<0.0001). Children under the age of 1 year took an average of 195 days to identify compared to 130 days for children aged 16. Identification was extended, on average, 4.3 days for each year that victims younger were than 16. Identifying large numbers of child victims requires targeted protocols. Two efforts increased child identifications for the TTVI operation: using body length to distinguish post-mortem (PM) DNA samples potentially belonging to children for targeted testing, and singling out deceased parents of missing children who were previously identified by a modality other than DNA, in order to retrieve and test their PM samples as references for kinship matching. Disaster victim identification operations with similar characteristics may benefit from implementing a strategy targeting child identifications.
Originality/value
The implementation of these two strategies at the TTVI helped to overcome initial complexities, namely, the lack of ante-mortem and PM material, and increased child identifications.
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Thomas E Scruggs and Margo A Mastropieri
This chapter reviews problems in the identification of learning disabilities, with particular reference to issues involving discrepancy between IQ and achievement as a criterion…
Abstract
This chapter reviews problems in the identification of learning disabilities, with particular reference to issues involving discrepancy between IQ and achievement as a criterion for definition. Alternatives to present procedures for identification of learning disabilities are described. It is concluded that no presently proposed alternative meets all necessary criteria for identification of learning disabilities, and that radically altering or eliminating present conceptualizations of learning disabilities may be problematic. The major problems of identification of learning disabilities – including over-identification, variability, and specificity – can be addressed, it is suggested, by increasing specificity and consistency of state criteria and strict adherence to identification criteria on the local implementation level. However, further research in alternative methods for identifying learning disabilities is warranted.
Patricia Garcia-Prieto, Diane M. Mackie, Veronique Tran and Eliot R. Smith
In this chapter we apply intergroup emotion theory (IET; Mackie, Devos, & Smith, 2000) to reflect on the conditions under which individuals may experience intergroup emotions in…
Abstract
In this chapter we apply intergroup emotion theory (IET; Mackie, Devos, & Smith, 2000) to reflect on the conditions under which individuals may experience intergroup emotions in workgroups, and to explore some possible consequences of those emotions. First, we briefly outline IET and describe the psychological mechanisms underlying intergroup emotion with a particular emphasis on the role of social identification. Second, we describe some of the antecedents of shared and varied social identifications in workgroups, which may in turn elicit shared or varied intergroup emotions in workgroups. Finally, we consider potential consequences for both relationship and task outcomes such as organizational citizenship behavior, workgroup cohesion, relationship and task conflict, issue interpretation, and information sharing.
This chapter develops a set of two-step identification methods for social interactions models with unknown networks, and discusses how the proposed methods are connected to the…
Abstract
This chapter develops a set of two-step identification methods for social interactions models with unknown networks, and discusses how the proposed methods are connected to the identification methods for models with known networks. The first step uses linear regression to identify the reduced forms. The second step decomposes the reduced forms to identify the primitive parameters. The proposed methods use panel data to identify networks. Two cases are considered: the sample exogenous vectors span Rn (long panels), and the sample exogenous vectors span a proper subspace of Rn (short panels). For the short panel case, in order to solve the sample covariance matrices’ non-invertibility problem, this chapter proposes to represent the sample vectors with respect to a basis of a lower-dimensional space so that we have fewer regression coefficients in the first step. This allows us to identify some reduced form submatrices, which provide equations for identifying the primitive parameters.
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