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…
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.
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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…
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.
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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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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…
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.