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Article
Publication date: 24 June 2019

Sevag K. Kertechian, Silva Karkoulian, Hussein Ismail and Patricia Nassif

Good managerial work habits are essential for creating a favorable work environment that can stimulate everyone’s performance. This papers aims to explore the psychometric…

293

Abstract

Purpose

Good managerial work habits are essential for creating a favorable work environment that can stimulate everyone’s performance. This papers aims to explore the psychometric properties of the good management work habits (GMWH) scale for a group of 464 Lebanese working adults.

Design/methodology/approach

A two-step approach was used. A first split-half of the sample affirmed that the GMWH scale had a factorial structure, and a factorial analysis used in the second split-half confirmed this. Jointly, the two split-half tests demonstrated the predictive and discriminant validity of the scale.

Findings

After validating the GMWH scale, this study substantiated the psychometric legitimacy of the GMWH test and confirmed its effectiveness in assessing organizational attributes.

Research limitations/implications

This study focused on Lebanese managers only and future studies should be extended to assess the GMWH scale’s validity in other countries. Moreover, the variables of organizational culture and gender were not taken into account in this study.

Practical implications

The GMWH scale can be applied to determine the negative effects of stress on performance to improve an organization’s productivity. Evaluating managers' self-perceptions of their work habits may improve relations with their subordinates and the organization as a whole.

Originality/value

The work habits of a company’s managers play a key role in organizational outcomes and have a ripple effect on all parties in the organization, from subordinates to other managers. This study proposes a validated tool for a company’s leaders to evaluate managers’ perceptions of their work habits and contributes beneficial knowledge to future research on practical ways to measure the work skills of managers.

Details

Measuring Business Excellence, vol. 23 no. 2
Type: Research Article
ISSN: 1368-3047

Keywords

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Article
Publication date: 16 June 2021

Daielly Melina Nassif Mantovani Ribeiro, Flavio Hourneaux Junior, Cristiana Lara Lara Cunha, Patricia Taeko Kaetsu, Patricia Fernanda Dionizio-Leite and Celso Machado Junior

This paper aims to discuss the role of information and communication technologies (ICTs) in the effective assessment of the sustainable development goals (SDGs) related to smart…

1273

Abstract

Purpose

This paper aims to discuss the role of information and communication technologies (ICTs) in the effective assessment of the sustainable development goals (SDGs) related to smart and sustainable city initiatives.

Design/methodology/approach

The study is based on a systematic review of the literature within the Web of Science and Scopus databases, comprising the studies about ICTs related to smart and sustainable city initiatives and sustainable assessment.

Findings

The main results point out that there are several different ways of assessing SDGs performance related to ICTs use in smart and sustainable city initiatives. However, the effectiveness of these assessments can be questioned. The intensive use of technology understood as the core of smart and sustainable cities does not imply an improvement in sustainability unless these technologies are strategically addressed to underpin those objectives. Moreover, not all SDGs have considered the use of ICTs in their targets.

Research limitations/implications

The scope of the study is limited to “how” the information is used and managed, rather than analysing the sustainable performance itself. As a limitation, the findings and conclusions do not consider other sources of studies, such as grey literature.

Practical implications

This study suggests some requirements for providing better and more reliable sustainable assessment, making smart and sustainable city initiatives more correlated with the SDGs.

Social implications

By acknowledging the difficulties associated with SDGs assessment, concerning the municipal level, the study offers valuable insights into the effectiveness of public policies and public management. Besides, the findings shed some light on if and how the use of ICTs can effectively enhance sustainable development issues.

Originality/value

This study offers valuable contributions to the literature by providing a collection of insights regarding how the ICTs may genuinely lead to a sound assessment of sustainable development, especially regarding the SDGs.

Details

Digital Policy, Regulation and Governance, vol. 23 no. 3
Type: Research Article
ISSN: 2398-5038

Keywords

Available. Content available
Article
Publication date: 20 September 2021

Massimo Ragnedda and Glenn Muschert

354

Abstract

Details

Digital Policy, Regulation and Governance, vol. 23 no. 3
Type: Research Article
ISSN: 2398-5038

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Book part
Publication date: 6 March 2023

Mark E. Mendenhall, Arthur Jose Honorio Franco de Lima and Lisa A. Burke-Smalley

Global leadership research published in the form of journal articles, scholarly book chapters, and theses and dissertations from 2015 to 2020 are tabulated to ascertain patterns…

Abstract

Global leadership research published in the form of journal articles, scholarly book chapters, and theses and dissertations from 2015 to 2020 are tabulated to ascertain patterns in the field regarding the quantity of publication in the field, type of research being conducted, authorship patterns, type of theory that is utilized, and linkages of research to related phenomena. We compare our findings to previous research and discuss implications for the future evolution of the global leadership field.

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Article
Publication date: 13 March 2023

Anagha Vaidya and Sarika Sharma

Course evaluations are formative and are used to evaluate learnings of the students for a course. Anomalies in the evaluation process can lead to a faulty educational outcome…

155

Abstract

Purpose

Course evaluations are formative and are used to evaluate learnings of the students for a course. Anomalies in the evaluation process can lead to a faulty educational outcome. Learning analytics and educational data mining provide a set of techniques that can be conveniently applied to extensive data collected as part of the evaluation process to ensure remedial actions. This study aims to conduct an experimental research to detect anomalies in the evaluation methods.

Design/methodology/approach

Experimental research is conducted with scientific approach and design. The researchers categorized anomaly into three categories, namely, an anomaly in criteria assessment, subject anomaly and anomaly in subject marks allocation. The different anomaly detection algorithms are used to educate data through the software R, and the results are summarized in the tables.

Findings

The data points occurring in all algorithms are finally detected as an anomaly. The anomaly identifies the data points that deviate from the data set’s normal behavior. The subject which is consistently identified as anomalous by the different techniques is marked as an anomaly in evaluation. After identification, one can drill down to more details into the title of anomalies in the evaluation criteria.

Originality/value

This paper proposes an analytical model for the course evaluation process and demonstrates the use of actionable analytics to detect anomalies in the evaluation process.

Details

Interactive Technology and Smart Education, vol. 21 no. 1
Type: Research Article
ISSN: 1741-5659

Keywords

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