Search results

This study investigated whether managers' nonaggressive political behavior can result in negative emotional and attitudinal outcomes such as aggressive behavior and the role of emotional intelligence (EI) in this context. The authors explored a moderated mediation model in which perceived managerial supplication elicited hostility that increased turnover intentions and the emotional abilities included in EI acted as antidotes to these outcomes.

The authors tested the moderated mediation model using two large samples, one from the public sector and the other from the private sector, providing a cross-sectorial comparison. The authors collected the data for this study in three waves.

The authors’ findings revealed that the model fit the public sector alone. Moreover, others' emotion appraisal was the only aspect of EI that moderated the hostility and turnover intentions of public servants.

Interventions aimed at increasing the EI level of public servants can be a powerful tool for reducing their hostility and turnover intentions. However, these interventions must focus on all four aspects of EI , particularly others' emotion appraisal.

Managers' nonaggressive political behavior can result in negative emotional and attitudinal outcomes such as aggressive behavior. However, EI reduces these negative outcomes among public servants.

The connection between urbanization and energy consumption in the context of cross-country and cross-sector analyses is poorly understood, especially in the Association of South East Asian (ASEAN). This paper aims to present the first extensive multi-level analysis of the relationship between urbanization and energy consumption in ASEAN countries from 1995 to 2013.

The multi-level (across country and sector) index decomposition method is used to analyze urbanization, energy mix, energy intensity and activity effects on energy demand. Urbanization is measured by two representative factors, name the urban population and the number of non-agriculture workers.

Despite the decreasing rate of urbanization, its effect on energy consumption has played the most important role since 2000. Since then, the effect has continued to increase at the national and sectoral levels across the whole region. The strongest urbanization impacts are encountered in the residential sector, followed by transportation and industrial sectors with much weaker effects in the commercial sector. The way in which urbanization impacts energy consumption depends strongly on the income level of the country studied.

The results provide quantitative relationships between urbanization and energy demand. For example, if the urban population and the non-agriculture workers decreased by 0.1 per cent per year, this would reduce energy demand by 1.4 per cent and 2.6 per cent per year respectively.

This contribution provides detailed quantitative insights into the relationships between urbanization and energy demand at sectoral, national and international levels, which are invaluable for policymakers in the region.

Does perceived managerial intimidation result in harmful emotional and behavioral implications that impair employees' performance? If so, are there buffers against these implications? To answer these questions, the current study relies on the social exchange theory and presents a moderated mediation model in which (1) perceived managerial intimidation evokes hostility that results in both organizational counterproductive work behavior (O-CWB) and interpersonal counterproductive work behavior (I-CWB) and (2) negative affectivity, political skill, tenure with the manager and sectorial affiliation moderate these relationships.

The moderated mediation model was tested using a sample of 367 subordinates. The data were collected in three waves.

Perceived managerial intimidation was positively related to hostility and both forms of CWB. Moreover, hostility mediated the relationships between perceived managerial intimidation and these two outcomes and sectorial affiliation moderated these mediations.

Public organizations should implement training programs to develop the awareness of the organizations' managers about the harmful implications of perceived managerial intimidation and teach the managers acceptable methods for improving employees' performance.

This study investigates whether perceived managerial intimidation results in CWB. The study's findings demonstrate positive relationships between these variables, shedding light on the emotional mediating mechanism that links the variables. Moreover, the study validates sectorial affiliation as a buffer against the negative emotional and behavioral implications of perceived managerial intimidation, providing ideas for practical implications.

This study advances our knowledge about counternormative emotion management processes utilized in organizations. We investigate a research model in which managerial intimidation, and more specifically subordinates' perceptions about it, evokes fear, which reduces their job satisfaction and increases their turnover intentions.

The model was tested using two samples, one from the public sector and the other from the private sector. The data were collected in three waves using questionnaires.

Our findings validated the research model in the public sector alone, revealing sectorial differences regarding the destructive emotional and attitudinal implications of perceived managerial intimidation.

The current study sheds light on counternormative emotion management processes utilized in organizations, a topic we know little about. Furthermore, it advances our knowledge regarding the responses of the targets of impression management attempts, revealing sectorial differences about them. Finally, this study broadens our understanding about intimidation, an under-investigated impression management strategy.

The purpose of this paper is to propose and discuss a new regional foresight methodology.

The first part describes the methodology and the organizational process adopted for implementing foresight at the regional level and highlights the criticalities. The research methodology is based on a case study. The case is the analysis of the industrial and regional sectors and the technological families in the Lombardy region.

This methodology analyses trends, technologies and industries, returning a set of qualitative and quantitative indicators. Then, it aggregates them, building two matrixes (trends/technologies and technologies/industries). Finally, it evaluates the future importance of a technology (the attractiveness of a technology for the long-term competitiveness of the regional main industrial sectors) and the capabilities of the regional industrial, technical and scientific system to develop specific technologies (feasibility for the regional system to develop the chosen technology).

The originality lies in an integrated analysis of the possible futures and their relation with the industrial world. Its value is as a tool to suggest policies and R&D investments. It is possible to provide a sound basis for science and technology policymaking.

The purpose of this paper is to provide to the Board of Directors and CEOs of a firm to be aware of and accountable for the information they provide to the public. As long as the quality of the companies’ public information is high, it will be able to retain its investors as well as to obtain new ones more easily.

This paper introduces a Multi-Criteria Decision Aid (MCDA) tool with the use of the PROMETHEE II method to formulate an alternative aggregate ESG quality approach. We conduct comparisons in a sectorial and regional based perspective during different exam periods before and after the implementation of International Financial Reporting Standards (IFRS), in an attempt to provide a robust framework for corporate disclosure reporting.

The findings are of particular interest to both scholars and decision-makers, including providers of corporate governance indices and rating agencies. The innovation of this paper lies among others in using the MCDA method with the ESG framework, which proposes a combination of qualitative and quantitative criteria, enabling experienced and/or not experienced analysts to avoid manipulating techniques in business information.

The sample of companies based on the US and Europe companies incorporating only large-sized ones.

Findings are of particular interest to both scholars and decision-makers including providers of corporate governance indices and rating agencies.

Better understanding features pay key importance for increasing the “quality” information in firms financial statements, especially after the use of IFRS in reporting standards.

The authors proceed to analysis using a multiple perspective use that is decomposed into the following options: (a) Time-period oriented option, (b) Regional-oriented option and (c) Sectoral-oriented option respectively.

This study aims to investigate the drivers for adopting energy efficiency practices within an emerging market context.

Drawing on the shared value theoretical perspective, this study investigates the corporate strategy approaches toward energy efficiency in firms. This paper draws from a sample of 852 Kenyan firms from 14 sectors. This study’s analysis is based on an ordered probit model.

The findings indicate that companies that conduct energy audits, have environmental performance-based compensation for senior management, provide staff training on energy efficiency and have a written energy policy are more effective in energy efficiency and conservation efforts. Based on the findings, this study recommends that companies and policymakers incentivize corporate actions and strategies to promote energy efficiency. While this study’s findings offer critical insights, the authors recommend future research to make sectorial comparisons.

Studies focusing on drivers of energy efficiency are limited, and those that exist are often either qualitative or focused on large, listed firms. By investigating 852 companies in 14 sectors in Kenya, this study adds to the literature on firms’ energy efficiency management.

The potential and opportunity offered by Information and Communication Technologies (ICTs) to enable Energy Efficient (EE) viable operations has been thoroughly laboured with respect to sustainability goals. Often the issue is not a lack of technological options, but rather an issue in understanding what choices will lead to the greatest impact. This paper summarises the outcome of a research work undertaken within Roadmap Enabling Vision and Strategy for ICT-enabled EE (REViSITE), an EU-funded project tasked with investigating migration pathways from current state of the art to a common vision for ICT-enabled EE with respect to four energy intensive sectors (energy grids, built environment, manufacturing and lighting). In this paper the focus is particularly on the built environment and how it might benefit from other sectors.

The REViSITE methodology/framework combined Life Cycle thinking, an adapted capability Maturity Framework and the REViSITE-developed SMARTT taxonomy for the development of a multi-disciplinary Strategic Research Agenda (SRA) which suggests research trajectories based on Research and Technology Development (RTD) topics. These priorities or pathways are presented in terms of short, medium and long-term delivery.

Development of a multi-disciplinary SRA and the corresponding Implementation Action Plan (IAP) offering specific recommendations for research development in the area of ICT-enabled EE among other recommended actions, which are reported in other publications.

At a basic level the value of the research is that it offers the potential to augment existing domain knowledge by offering a lens onto the ICT4EE practices of other sectors.

The purpose of this work is to investigate industrial asset management (AM) in manufacturing. After depicting gaps for AM in this sector, the role of information as a key dimension is considered to realise a summary of challenges and advices for future development.

The work is grounded on an extensive systematic literature review. Considering the eligible documents, descriptive statistics are provided and a content analysis is performed, both based on a sector-independent normative-based framework of analysis.

AM principles, organisation and information are the dimensions defined to group ten areas of interest for AM in manufacturing. Information is the major concern for an effective AM implementation. Moreover, Internet of Things and big data management and analytics, as well as data modelling and ontology engineering, are the major technologies envisioned to advance the implementation of AM in manufacturing.

The identified challenges and advices for future development may serve to stimulate further research on AM in manufacturing, with special focus on information and data management. The sector-independent normative-based framework may also enable to analyse AM in different contexts of application, thus favouring cross-sectorial comparisons.

Industries with higher operational risk, like Oil&Gas and infrastructure, are advanced in AM, while others, like some in manufacturing, are laggard in this respect. This literature review is the first of a kind addressing AM in manufacturing and depicts the state-of-the-art to pave the way for future research and development.

Focuses on how brand managers in fast‐moving consumer goods industries view their contacts with the various interfaces, allocate their working time and perceive the significance and quality of these contacts. Based on the product management literature, several hypotheses are proposed and empirically examined using data collected from a sample of 161 product managers, working for 48 companies in five different sectors in Greece. The results show that brand managers working in various sectors differ in the perception of their contacts with the various interfaces.