scholarly journals Membangun Perencanaan dan Kinerja Tim: Analisis Pengaruh Efikasi Kolektif dan Iklim Kecerdasan Emosional

2021 ◽  
Vol 7 (2) ◽  
pp. 191-205
Author(s):  
Dewiana Novitasari ◽  
Dhaniel Hutagalung ◽  
Nelson Silitonga ◽  
Muhammad Johan ◽  
Masduki Asbari
Keyword(s):  
Emotional Intelligence ◽  
Collective Efficacy ◽  
Team Performance ◽  
Manufacturing Industry ◽  
Cognitive Theory ◽  
Empirical Test ◽  
Research Report ◽  
Open Problems ◽  
Team Planning ◽  
Managerial Implications

This study postulates team characteristics and environmental factors as the main drivers of team performance. In the proposed model of this study, team performance is positively and significantly affected by collective efficacy and emotional intelligence climate. Likewise, team planning has a positive and significant effect on team performance. Data werecollected from 103 of sales/marketing employees of a manufacturing industry in Indonesia by random sampling. Data were analyzed using SEM method with SmartPLS 3.0 software. The results of this study indicated that collective efficacy and emotional intelligence climate have a positive and significant effect on team planning and team performance. Likewise, team planning has a positive and significant effect on team performance. Moreover, the empirical test of this study, by investigating sales/marketing employees working in the Indonesian manufacturing industry, complements the application of social cognitive theory in understanding team performance. Finally, the managerial implications of team performance and future open problems are discussed at the end of the research report.

Modeling leadership and team performance

2019 ◽  
Vol 48 (2) ◽  
pp. 471-491 ◽  
Author(s):  
Chieh-Peng Lin ◽  
Chu-Chun Wang ◽  
Shih-Chih Chen ◽  
Jui-Yu Chen
Keyword(s):  
Data Collection ◽  
Collective Efficacy ◽  
Social Exchange ◽  
Team Performance ◽  
Social Exchange Theory ◽  
Social Cognitive ◽  
Cognitive Theory ◽  
Charismatic Leadership ◽  
Content Type ◽  
Wave Data

Purpose The purpose of this paper is to develop a research model that explains team performance based on social cognitive theory and social exchange theory. In the model, team performance indirectly relates to three kinds of leadership (i.e., charismatic, autocratic and considerate) via the full mediation of collective efficacy. At the same time, team justice as a focus in this study is examined as a moderator in the model. Design/methodology/approach The research hypotheses of this study were empirically tested using two-wave data collection across insurance sales teams from a leading bank holding company which is the largest bank holding company in Taiwan. In the first-wave data collection, researchers of this study surveyed six people anonymously from each sales team, including a team leader and five team members. Three months later, the researchers conducted the second-wave data collection by obtaining team performance data from the department of human resource management, which was an independent rater for each team’s performance. Two-wave data collection from 59 teams was achieved for verifying the hypothesized effects. Findings The team-level test results show that collective efficacy fully mediates the relationship between charismatic leadership and team performance and between considerate leadership and team performance. Justice moderates the relationship between collective efficacy and team performance and between charismatic leadership and collective efficacy. Originality/value This study has two major theoretical implications. First, this study conceptualized three distinct kinds of leadership as major determinants of team performance from a social exchange perspective. Such a theoretical conceptualization of leadership not only broadens the boundary of leadership beyond traditional one such as transactional leadership based on the theory of contingent reward but also closely reflects the practical status quo of leadership of teams. Second, this research incorporated social exchange theory into the framework of team performance in social cognitive theory. Specifically, this study theorized and validated justice as a moderator in the development of team performance.

Emotional Intelligence among Executives of Indian Manufacturing Industry

2017 ◽  
Vol 5 (2) ◽  
pp. 25
Author(s):  
Ashwini Mehta ◽  
Yogesh Mehta ◽  
Anukool Manish
Keyword(s):  
Emotional Intelligence ◽  
Manufacturing Industry

scholarly journals Information Fusion for Multi-Source Material Data: Progress and Challenges

2019 ◽  
Vol 9 (17) ◽  
pp. 3473 ◽  
Author(s):  
Zhou ◽  
Hong ◽  
Jin
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Data Fusion ◽  
Manufacturing Industry ◽  
Data Representation ◽  
Source Material ◽  
Future Research ◽  
Unified Framework ◽  
Open Problems ◽  
Material Data

The development of material science in the manufacturing industry has resulted in a huge amount of material data, which are often from different sources and vary in data format and semantics. The integration and fusion of material data can offer a unified framework for material data representation, processing, storage and mining, which can further help to accomplish many tasks, including material data disambiguation, material feature extraction, material-manufacturing parameters setting, and material knowledge extraction. On the other side, the rapid advance of information technologies like artificial intelligence and big data, brings new opportunities for material data fusion. To the best of our knowledge, the community is currently lacking a comprehensive review of the state-of-the-art techniques on material data fusion. This review first analyzes the special properties of material data and discusses the motivations of multi-source material data fusion. Then, we particularly focus on the recent achievements of multi-source material data fusion. This review has a few unique features compared to previous studies. First, we present a systematic categorization and comparison framework for material data fusion according to the processing flow of material data. Second, we discuss the applications and impact of recent hot technologies in material data fusion, including artificial intelligence algorithms and big data technologies. Finally, we present some open problems and future research directions for multi-source material data fusion.

Increasing team performance in a knowledge-based economy

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Emotional Intelligence ◽  
Team Performance ◽  
World Knowledge ◽  
Business World ◽  
Content Type ◽  
Organizational Goals ◽  
Knowledge Based ◽  
Team Working ◽  
Knowledge Based Economy ◽  
And Control

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings In a competitive business world, knowledge has become an invaluable asset. The transfer and creation of knowledge between employees is essential for improving team performance and achieving organizational goals. An important contributing factor for knowledge sharing is emotional intelligence; the ability to identify, manage and control emotions in oneself and in others. This leads to increased positive relationships and decreased team conflict. Increased emotional intelligence leads to increased collaboration and sharing of knowledge. Team working is more successful, leading to increased team performance. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Transformational school leadership and teacher self-efficacy as predictors of perceived collective teacher efficacy

2016 ◽  
Vol 46 (1) ◽  
pp. 49-64 ◽  
Author(s):  
Stefan R Ninković ◽  
Olivera Č Knežević Florić
Keyword(s):  
Transformational Leadership ◽  
Teacher Efficacy ◽  
School Leadership ◽  
Collective Efficacy ◽  
Self Efficacy ◽  
Social Cognitive ◽  
Cognitive Theory ◽  
Collective Teacher Efficacy ◽  
Hierarchical Regression ◽  
Teacher Self Efficacy

Although scholars have acknowledged the role of collaborative relationships of teachers in improving the quality of instruction, teacher collective efficacy continues to be a neglected construct in educational research. The purpose of this paper is to explore the relations between transformational school leadership, teacher self-efficacy and perceived collective teacher efficacy, using a sample of 120 permanent secondary-school teachers in Serbia, whose average age was 42.5. The results of the hierarchical regression analysis showed that transformational school leadership and teacher self-efficacy were independent predictors of teacher collective efficacy. The research findings also showed that individually-focused transformational leadership contributed significantly to an explanation of collective efficiency after controlling specific predictor effects of group-focused dimensions of transformational leadership. It is argued that the results have a double meaning. First, this study expanded the understanding of the relationship between different dimensions of transformational school leadership and collective teacher efficacy. Second, a contribution of teacher self-efficacy to collective efficacy beliefs was established, confirming the assumptions of social cognitive theory on reciprocal causality between two types of perceived efficacy: individual and collective.

scholarly journals Employee–Organization Relationships and Team Performance: Role of Team Collective Efficacy

2020 ◽  
Vol 11 ◽  
Author(s):  
Juexing Li ◽  
Liangding Jia ◽  
Yahua Cai ◽  
Ho Kwong Kwan ◽  
Shuyang You
Keyword(s):  
Collective Efficacy ◽  
Team Performance

scholarly journals An Entropy-Based Formulation for the Support of Sustainable Mass Customization 4.0

2020 ◽  
Vol 2020 ◽  
pp. 1-21
Author(s):  
César Martínez-Olvera
Keyword(s):  
Energy Consumption ◽  
Mass Customization ◽  
Industry 4.0 ◽  
Manufacturing Industry ◽  
Discrete Event ◽  
Energy Productivity ◽  
Event Simulation ◽  
Managerial Implications ◽  
Optimal Resource ◽  
Information And Communication

Industry 4.0, an information and communication umbrella of terms that includes the Internet of Things (IoT) and cyber-physical systems, aims to ensure the future of the manufacturing industry competing in a proper environment of mass customization: demand for short delivery time, high quality, and small-lot products. Within this context of an Industry 4.0 mass customization environment, success depends on its sustainability, where the latter can only be achieved by the manufacturing efficiency of the smart factory-based Industry 4.0 transforming processes. Even though Industry 4.0 is associated with an optimal resource and energy productivity/efficiency, it becomes necessary to answer if the integration of Industry 4.0 elements (like CPS) has a favorable sustainability payoff. This requires performing energy consumption what-if analyses. The original contribution of this paper is the use of the entropy-based formulation as an alternative way of performing the initial steps of the energy consumption what-if analyses. The usefulness of the proposed approach is demonstrated by comparing the results of a discrete-event simulation model of mass customization 4.0 environment and the values obtained by using the entropy-based formulation. The obtained results suggest that the entropy-based formulation acts as a fairly good trend indicator of the system’s performance parameters increase/decrease. The managerial implications of these findings are presented at the end of this document.

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