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1 – 10 of 11Michael K. Dzordzormenyoh, Claudia Dzordzormenyoh and Jerry Dogbey-Gakpetor
The COVID-19 pandemic provides researchers and practitioners with an opportunity to examine the effect of emergency policing on public trust in the police and augment our…
Abstract
Purpose
The COVID-19 pandemic provides researchers and practitioners with an opportunity to examine the effect of emergency policing on public trust in the police and augment our understanding. Therefore, the primary purpose of this study was to examine the effect of police enforcement of COVID-19 health measures on public trust in the police in Ghana.
Design/methodology/approach
A multivariate binary logistic regression was utilized to assess the effect of police enforcement of COVID-19 health measures on public trust in the police in Ghana using national representative data.
Findings
Our analysis suggests that emergency policing positively influences public trust in the police in Ghana. Additionally, we observed that police-related issues such as corruption and professionalism, as well as demographic factors of the public, influence trust in the police. These observations are helpful for emergency policing and policy development in Ghana.
Originality/value
This study is unique because it uses national representative data to assess the effect of police enforcement of COVID-19 health measures on public trust in the police in Ghana. Furthermore, this study is among the first or among the few from Ghana and the sub-region to examine the nexus between health emergencies and policing.
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Michael Kyei-Frimpong, Emmanuel Kodwo Amoako, Bridget Akwetey-Siaw, Kwame Owusu Boakye, Isaac Nyarko Adu, Abdul-Razak Suleman and Amin Abdul Bawa
The current study aimed to examine the moderating role of perceived supervisor support in the nexus between employee empowerment and organizational commitment in the Ghanaian…
Abstract
Purpose
The current study aimed to examine the moderating role of perceived supervisor support in the nexus between employee empowerment and organizational commitment in the Ghanaian hospitality industry.
Design/methodology/approach
A quantitative research design was adopted, and data were collected from 274 frontline workers from 4-star and 5-star hotels at two different waves within a 7-month interval. The data received were analyzed using descriptive and inferential statistics with the aid of Statistical Package for Social Sciences (SPSS V. 23.0) and SmartPLS (V.4.0), respectively.
Findings
As hypothesized in the study, employee empowerment was significantly related to organizational commitment. Furthermore, the results revealed that perceived supervisor support moderated the nexus between employee empowerment and affective and continuance commitment but did not moderate the nexus between employee empowerment and normative commitment.
Originality/value
Arguably, support from supervisors has been theoretically identified as a key construct in enhancing subordinates' commitment to an organization. However, less is known in the literature about the moderating role of perceived supervisory support in the nexus between employee empowerment and organizational commitment, especially in the Ghanaian hospitality industry.
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This study aimed to determine the expectations of students from mathematics teachers in the planning phase of lesson study (LS) in mathematics classrooms.
Abstract
Purpose
This study aimed to determine the expectations of students from mathematics teachers in the planning phase of lesson study (LS) in mathematics classrooms.
Design/methodology/approach
This study reported only a part of large-scale action research. The participants were Grade 8 students selected by the convenience sampling method. The data were obtained through open-ended questions. The content analysis method was used to analyze the data.
Findings
Four categories emerged: connection, technology-supported teaching, use of concrete materials, practice, and teacher behavior and teaching style.
Research limitations/implications
This study reveals how students in a different culture and education system, such as Türkiye, want to learn mathematics in the LS process of Japanese origin. It also gives some important clues for applying LS in a different culture.
Practical implications
This study may attract the attention of educational stakeholders who want to implement LS in mathematics classrooms by considering student perspectives.
Social implications
Due to the nature of LS, this study may emphasize teacher–student and teacher–teacher interactions. Thus, it can draw attention to the importance of social learning environments where students take responsibility and interact.
Originality/value
This study emphasizes the importance of listening to student voices in LS. Some ideas about mathematics teaching in Turkey should also be given. Finally, it can provide a good basis for understanding and comparing LS practices in different cultures and understandings.
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Ali Beiki Ashkezari, Mahsa Zokaee, Erfan Rabbani, Masoud Rabbani and Amir Aghsami
Pre-positioning and distributing relief items are important parts of disaster management as it simultaneously considers activities from both pre- and post-disaster stages. This…
Abstract
Purpose
Pre-positioning and distributing relief items are important parts of disaster management as it simultaneously considers activities from both pre- and post-disaster stages. This study aims to address this problem with a novel mathematical model.
Design/methodology/approach
In this research, a bi-objective mixed-integer linear programming model is developed to tackle pre-positioning and distributing relief items, and it is formulated as an integrated location-allocation-routing problem with uncertain parameters. The humanitarian supply chain consists of relief facilities (RFs) and demand points (DPs). Perishable and imperishable relief commodities (RCs), different types of vehicles, different transportation modes, a time window for delivering perishable commodities and the occurrence of unmet demand are considered. A scenario-based game theory is applied for purchasing RCs from different suppliers and an integrated best-worst method-technique for order of preference by similarity to ideal solution technique is implemented to determine the importance of DPs. The proposed model is used to solve several random test problems for verification, and to validate the model, Iran’s flood in 2019 is investigated as a case study for which useful managerial insights are provided.
Findings
Managers can effectively adjust their preferences towards response time and total cost of the network and use sensitivity analysis results in their decisions.
Originality/value
The model locates RFs, allocates DPs to RFs in the pre-disaster stage, and determines the routing of RCs from RFs to DPs in the post-disaster stage with respect to minimizing total costs and response time of the humanitarian logistics network.
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Research indicates a long historical connection between racism and nationalist ideologies. This connection has been highlighted in the resurgence of exclusionary nationalism in…
Abstract
Research indicates a long historical connection between racism and nationalist ideologies. This connection has been highlighted in the resurgence of exclusionary nationalism in recent years, across many multicultural societies. This chapter discusses the notions of race, ethnicity and nation, and critically examines how racism shapes contemporary manifestations of nationalist discourse across the world. It explores the historical role of settler-colonialism, imperial expansions and the capitalist development in shaping the racial/ethnic aspect of nationalist development. Moreover, it provides an analysis of the interconnections between the racialisation of minorities, exclusionary ideologies and the consolidation of ethno-nationalist tropes. This chapter further considers the impact of demographic changes in reinforcing anti-migrant exclusionary sentiments. This is examined in connection with emerging nativist discourse, exploring how xenophobic racism has shaped and is shaped by nostalgic nationalism based on the sanitisation of the legacies of Empire and colonialism.
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Julian Bucher, Klara Kager and Miriam Vock
The purpose of this paper is to systematically review the history and current state of lesson study (LS) in Germany. In particular, this paper describes the development of LS over…
Abstract
Purpose
The purpose of this paper is to systematically review the history and current state of lesson study (LS) in Germany. In particular, this paper describes the development of LS over time and its stakeholders.
Design/methodology/approach
Conducting a systematic literature review, we searched three scientific databases and Google Scholar, examined 806 results and included 50 articles in our final sample, which we analyzed systematically.
Findings
The spread of LS in Germany can be divided into three phases, characterized by their own LS projects as well as their own ways of understanding LS. Although interest in LS has increased significantly in recent years, it is only present at a small number of schools and universities in Germany if compared internationally. Furthermore, this paper identifies the so-called learning activity curves as a tool frequently used for observation and reflection that appears to be unknown outside German-speaking countries.
Originality/value
This paper may act as an outline for countries without large-scale LS projects and with limited support from policymakers. The experience from Germany demonstrates the outcomes and challenges that can arise in such a situation and shows how unique LS features and proceedings have emerged.
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This paper aims at understanding how automotive firms integrate customer relationship management (CRM) tools and big data analytics (BDA) into their marketing strategies to…
Abstract
Purpose
This paper aims at understanding how automotive firms integrate customer relationship management (CRM) tools and big data analytics (BDA) into their marketing strategies to enhance total quality management (TQM) after the coronavirus disease (COVID-19).
Design/methodology/approach
A qualitative methodology based on a multiple-case study was adopted, involving the collection of 18 interviews with eight leading automotive firms and other companies responsible for their marketing and CRM activities.
Findings
Results highlight that, through the adoption of CRM technology, automotive firms have developed best practices that positively impact business performance and TQM, thereby strengthening their digital culture. The challenges in the implementation of CRM and BDA are also discussed.
Research limitations/implications
The study suffers from limitations related to the findings' generalizability due to the restricted number of firms operating in a single industry involved in the sample.
Practical implications
Findings suggest new relational approaches and opportunities for automotive companies deriving from the use of CRM and BDA under an overall customer-oriented approach.
Originality/value
This research analyzes how CRM and BDA improve the marketing and TQM processes in the automotive industry, which is undergoing deep transformation in the current context of digital transformation.
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Rafiu King Raji, Yini Wei, Guiqiang Diao and Zilun Tang
Devices for step estimation are body-worn devices used to compute steps taken and/or distance covered by the user. Even though textiles or clothing are foremost to come to mind in…
Abstract
Purpose
Devices for step estimation are body-worn devices used to compute steps taken and/or distance covered by the user. Even though textiles or clothing are foremost to come to mind in terms of articles meant to be worn, their prominence among devices and systems meant for cadence is overshadowed by electronic products such as accelerometers, wristbands and smart phones. Athletes and sports enthusiasts using knee sleeves should be able to track their performances and monitor workout progress without the need to carry other devices with no direct sport utility, such as wristbands and wearable accelerometers. The purpose of this study thus is to contribute to the broad area of wearable devices for cadence application by developing a cheap but effective and efficient stride measurement system based on a knee sleeve.
Design/methodology/approach
A textile strain sensor is designed by weft knitting silver-plated nylon yarn together with nylon DTY and covered elastic yarn using a 1 × 1 rib structure. The area occupied by the silver-plated yarn within the structure served as the strain sensor. It worked such that, upon being subjected to stress, the electrical resistance of the sensor increases and in turn, is restored when the stress is removed. The strip with the sensor is knitted separately and subsequently sewn to the knee sleeve. The knee sleeve is then connected to a custom-made signal acquisition and processing system. A volunteer was employed for a wearer trial.
Findings
Experimental results establish that the number of strides taken by the wearer can easily be correlated to the knee flexion and extension cycles of the wearer. The number of peaks computed by the signal acquisition and processing system is therefore counted to represent stride per minute. Therefore, the sensor is able to effectively count the number of strides taken by the user per minute. The coefficient of variation of over-ground test results yielded 0.03%, and stair climbing also obtained 0.14%, an indication of very high sensor repeatability.
Research limitations/implications
The study was conducted using limited number of volunteers for the wearer trials.
Practical implications
By embedding textile piezoresistive sensors in some specific garments and or accessories, physical activity such as gait and its related data can be effectively measured.
Originality/value
To the best of our knowledge, this is the first application of piezoresistive sensing in the knee sleeve for stride estimation. Also, this study establishes that it is possible to attach (sew) already-knit textile strain sensors to apparel to effectuate smart functionality.
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This study aims to explore how females on committees (FOC) and committee ethnic diversity (CED) impact environmental, social and governance performance (ESGP).
Abstract
Purpose
This study aims to explore how females on committees (FOC) and committee ethnic diversity (CED) impact environmental, social and governance performance (ESGP).
Design/methodology/approach
This study examines 126 listed firms under the coverage of FTSE ESG Ratings in Bursa Malaysia between 2017 and 2019. This study applies partial least squares structural equation modeling (PLS-SEM) to examine the hypotheses. While the risk of common method variance is minimised using multiple data sources for the analysis, instrumental variable-free approach, i.e. Gaussian copula method which is implemented in SmartPLS 4.0 has been used to address the potential endogeneity of the model.
Findings
Empirical evidence demonstrates significant positive direct relationships between FOC and ESGP, as well as CED and ESGP. The argument of resource dependence theory and positive empirical results on the two direct relationships hold firm despite several committees being aggregated as one construct with the aim of providing different insights into the literature.
Practical implications
This study provides implications for firm leadership to consider reviewing the composition of committees by increasing female representation while striking a balance in the appointment of committee members of different ethnicities to enhance firm ESGP.
Originality/value
To the best of the author’s knowledge, this study adopts a holistic approach by capturing, for the first time, the female representation of audit, nomination, remuneration and risk management committees. These dimensions are further developed into a single quantifiable variable, presented as FOC. Similarly, the ethnic diversity of the respective committees is aggregated and developed into a single quantifiable construct: the CED. Unlike most existing studies that commonly use econometric software, the application of PLS-SEM in this study contributes to the limited body of corporate governance and ESG studies that use PLS-SEM.
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