Can digital feedback increase employee performance and energy efficiency in firms? Evidence from a field experiment

Hoffmann, Christin; Thommes, Kirsten

doi:10.1016/j.jebo.2020.09.034

Cited by 13 publications

(5 citation statements)

References 35 publications

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“…The singular index measurement primarily encompasses aspects such as the efficiency of energy consumption, the allocation of energy consumption, energy-related CO 2 emissions, etc., as well as other micro-perspectives [32][33][34]. Considering that en-ergy consumption is subject to influences from urbanization, industrial, and household structures, technological advancements, and several other aspects [35][36][37], the multi-index measurement approach selects a diverse array of indicators from economic, social, and environmental dimensions, to evaluate the energy consumption level in a holistic manner [38,39]. Much of the research in this field primarily uses methods such as the entropy method, principal component analysis, slack-based measure (SBM), and data envelopment analysis (DEA) to quantify and construct a comprehensive ranking for the energy consumption system and its subsystems [40][41][42].…”

Section: Research On the Measurement Of Energy Consumption Levelsmentioning

confidence: 99%

Dynamic Evolution and Trend Prediction in Coupling Coordination between Energy Consumption and Green Development in China

Xu,

Tian

2023

Sustainability

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In light of the pressing concerns about worldwide warming and environmental degradation, understanding the nexus between energy consumption and green development has become vital to fostering a low-carbon transition in energy consumption, and promoting environmentally friendly development. After exploring the connotations of energy consumption and green development, this paper constructed evaluation systems for energy consumption and green development. By leveraging quantitative methods; such as the entropy method, coupling coordination model, spatial Markov model, and gray model GM (1, 1); we conducted an empirical study into the dynamism and evolutionary trends in the coupling coordination degree between energy consumption and green development in China, spanning from 2006 to 2020. Our findings delineate several key trends: (1) overall, the levels of each system have witnessed a marked increase, with the average energy consumption slightly exceeding that of green development; (2) the coupling coordination degree has displayed a consistent rise over time, with spatial distribution patterns exhibiting a “higher in the south, lower in the north” and a “center-edge” characteristic; (3) the dynamic evolution of coupling coordination types manifests a stability, continuity, and heterogeneity, eliciting distinct effects across different neighbourhood types; (4) within the forecast period, the coupling coordination degree among Chinese provinces is projected to undergo further enhancement, with the majority of provinces transitioning from a barely coordinated stage to a coordinated development stage. Above all, to stimulate a more qualitative coupling coordination between energy consumption and green development, this paper provides relevant policy implications.

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Section: Research On the Measurement Of Energy Consumption Levelsmentioning

confidence: 99%

Dynamic Evolution and Trend Prediction in Coupling Coordination between Energy Consumption and Green Development in China

Xu,

Tian

2023

Sustainability

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“…Another study [38] developed a framework that enables human-centric energy efficiency to be enhanced, so that interactions between personnel and assets that consume energy can be improved. Four other articles [39][40][41][42] investigated the role of workers in raising energy efficiency in the workplace. Interpretive structural modeling has been used to show that human factors and the workplace environment play an important role in energy management [43,44].…”

Section: Energy Management Performance In Industry 40mentioning

confidence: 99%

Intelligent Integrated Model for Improving Performance in Power Plants

Ajmi¹,

Mahmood²,

Jamaludin³

et al. 2022

Computers, Materials &Amp; Continua

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Industry 4.0 is expected to play a crucial role in improving energy management and personnel performance in power plants. Poor performance problem in maintaining power plants is the result of both human errors, human factors and the poor implementation of automation in energy management. This problem can potentially be solved using artificial intelligence (AI) and an integrated management system (IMS). This article investigates the current challenges to improving personnel and energy management performance in power plants, identifies the critical success factors (CSFs) for an integrated intelligent framework, and develops an intelligent framework that enables power plants to improve performance. The theoretical basis is founded on a systematic literature review to locate 110 out of 3108 papers studied carefully to examine the performance architecture that best enables effective maintenance. The findings from this literature review are combined with expert judgment and the big data advantages of AI applications to develop an intelligent model. Data are collected from a power plant in Iraq. To ensure the reliability of the proposed model, various hypotheses are tested using structural equation modeling. The results confirm that the measurement model is acceptable, and that the hypotheses are supported and significant. A case study demonstrates the strong relationship and significance between big data of performance and the CSFs. It is hoped that this model will be adopted to enable performance improvement in power plants.

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“…As defined by Song et al 2019Song et al (2019, it is the sum of the results in which the individual performs a job or work. Moreover, activities and behaviors are related to the organization's goals (Hoffmann & Thommes, 2020) (Li & Zhang, 2021).…”

Section: Employee Performancementioning

confidence: 99%

Determining the Effect of Narcissistic Leadership on Employee Performance: An applied Study in a Private College in Iraq

Yousif

Loukil²

2022

Acad. J. Interdiscip. Stud.

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The narcissism of leaders has been studied as a negative trait. It is a personality disorder related to the constant aspiration for power, superiority over others, and a lack of empathy with others and their exploitation to achieve personal ends. Narcissists often seek leadership and work for their interests, and these behaviors affect workers' lower levels of performance, creativity, and productivity. This, in turn, leads to higher levels of burnout, job turnover, and other organizational diseases because the traits of leaders and their actual behavior complement each other. Therefore, this research aims to study the relationship between narcissistic leadership with its dimensions (arrogance, authority) and workers' performance (organizational commitment, job satisfaction, creativity, productivity). The research sample was represented in Baghdad College of Economic Sciences University / Iraq, and the research sample amounted to (77) individuals. The research relied on the questionnaire as the main tool to collect data to conduct statistical analyses. As (87) questionnaires were distributed to the employees of the researched college, the number of retrieved questionnaires was (77) valid for analysis. The data was analyzed using (SPSS V.25) and (Amos V.25). Many statistical methods were used to achieve the research objectives, represented by (arithmetic mean, standard deviation, coefficient of variation, Pearson correlation coefficient, and simple linear regression). The most important findings of the research are the adverse effect of narcissistic leadership on workers' performance. The more there is narcissistic leadership in the college understudy, the more it negatively contributes to the performance levels of employees. Received: 16 May 2022 / Accepted: 15 August 2022 / Published: 2 September 2022

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Can digital feedback increase employee performance and energy efficiency in firms? Evidence from a field experiment

Cited by 13 publications

References 35 publications

Dynamic Evolution and Trend Prediction in Coupling Coordination between Energy Consumption and Green Development in China

Dynamic Evolution and Trend Prediction in Coupling Coordination between Energy Consumption and Green Development in China

Intelligent Integrated Model for Improving Performance in Power Plants

Determining the Effect of Narcissistic Leadership on Employee Performance: An applied Study in a Private College in Iraq

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