Search results

Drawing on both the stakeholder theory and Carroll’s Corporate Social Responsibility Pyramid, this chapter explores sustainability practice challenges of a gold minning multinational enterprise in Ghana. Primary data was collected through observation and the interviewing of multi-stakeholder groups. We found that internal stakeholders perceive sustainability expenditure as costly. However, while employees of the case enterprise see the cost as depleting shareholders’ wealth, managers view them as investment with possible long-term benefits. Meanwhile, the external stakeholders perceive the gold mining enterprise’s sustainability expenditure as meagre and that beneficiary communities are not economically empowered to sustain those investments. Again, we found that government’s inability to clamp down illegal gold mining threatens economic and environmental sustainability. Additionally, members of the host community identify the lack of adequate employment opportunities within the entity as a hindrance to their economic empowerment. We submit that the resolution of the sustainability challenges would contribute to the balancing of stakeholders’ expectations: the conduct of ethical business through compliance to environmental laws; promotion of host communities’ social well-being; and improved economic returns for shareholders. By meeting the needs of stakeholders, gold mining enterprises could gain acceptance in their host communities and boost corporate reputation.

The adverse effects on environmental sustainability, human health and animal welfare are often cited as the main reasons for reducing animal-based meat production and consumption. This study explored the food choice motives that determine consumer attitude toward plant-based meat (PBM) as a sustainable meat alternative. The theory of planned behavior (TPB) was applied to further determine whether an individual’s attitude toward PBM, subjective norms and perceived behavioral control influence their willingness to try novel meat substitutes (i.e. PBM). Finally, the moderating effect of meat attachment was also considered.

Online self-reported questionnaires were administered in Taiwan, and 294 valid questionnaires were collected. Structural equation modeling (SEM) and moderated regression were employed for analysis.

The results clarified the food choice motives that influenced consumer attitude toward PBM and revealed that attitude and subjective norms pertaining to trying PBM explained up to 35.03% of the variance in consumer willingness to try PBM. Notably, consumer meat attachment moderated the positive relationship between consumer attitude toward PBM and willingness to try PBM such that it became negative.

On the basis of the empirical findings regarding the food choice motives that influence consumer attitude and willingness to try PBM, this study provided practical implications for marketers seeking to increase consumer willingness to try PBM.

The main theoretical contribution of this research is that food choice motives should be considered in a TPB model to explain consumer willingness to try PBM. The moderating effect of consumer meat attachment should also be considered.

While previous studies have proved the significance of family firm innovativeness (FFI), the question of how the emotion-regulation capabilities of family business managers affect FFI still remains open. This paper aims to examine the impact of the emotion-regulation capabilities of family business managers on FFI moderated by the family involvement in business management.

The present study is based on a quantitative research design. Data were collected with the help of a telephone survey. Overall, 192 family firms were surveyed, and the results were analysed using structural equation modelling (SEM).

The findings indicate that managers' emotion-regulation capabilities (independent variable) positively impact FFI (dependent variable). The research results also indicate that having more family members involved in the business (moderating variable) can lead to better innovation outcomes, assuming these family managers have sufficient emotion-regulating capabilities.

The research context could be broadened by differentiating between the industries in which family firms operate. This could aid a better understanding of the challenges, opportunities and market trends in different sectors. Future research might also include more diverse countries with deep family business traditions, strengthening the robustness of the findings across more varied contexts.

Using a multi-level perspective, this study contributes to the dynamic managerial capabilities and family business literature by showing that, in an environment where familial relationships can affect working relationships, the ability of managers to control their emotions and others' emotions can be a critical managerial resource that impacts FFI.

This study aims to validate the Bolton Forgiveness Scale (BFS) created by Amanze and Carson (2019) for the Indian population.

The data for the validation of the BFS was collected (Total N = 813) in two phases (Phase-I, N1 = 613 and Phase-II, N2 = 200) through online surveys. SPSS 26 and AMOS were used to establish the psychometric properties of the scale through internal consistency and confirmatory factor analysis.

The results indicated the validation of the BFS in the Indian context, with a high internal consistency (a = 0.847). Confirmatory factor analysis validated the factor structure and items, along with face validity.

This study offers comprehensive suggestions on the approaches to forgiveness, addresses biases, advocates for qualitative exploration and emphasizes rigour for the future research on forgiveness.

The present study validates the BFS for future use for the Indian population. The authors offer comprehensive suggestions on the approaches to forgiveness, address biases, advocate for qualitative exploration and emphasize rigour for future research on forgiveness.

This study aims to explore the use of a double diamond design method to engage the industry in a sector-wide response to the issues of food waste as constructed by consumers. This particular design method is achieved by an exploration of a collective intelligence-participatory design (CIPD) project to engage industry participants in understanding and responding to consumers’ perceptions of the role of packaging in reducing food waste.

Using the UK Design Council’s double diamond design method as a guiding conceptual principle, the project recruited industry participants from medium to large food businesses across various food categories. Two scoping workshops with industry were held prior to the initiation of a 12-stage project (n = 57), and then two industry workshops were held (n = 4 and 14). Eighty participants completed an online qualitative survey, and 23 industry participants took part in a Think Tank Sprint Series. The Think Tanks used participatory design approaches to understand barriers and opportunities for change within food industry sub-sectors and test the feasibility and acceptability of package designs to reduce consumer waste.

For CIPD to work for complex problems involving industry, it is vital that stakeholders across macro- and micro-subsystems are involved and that adequate time is allowed to address that complexity. Using both the right tools for engagement and the involvement of the right mix of representatives across various sectors of industry is critical to reducing blame shift. The process of divergence and convergence allowed clear insight into the long-term multi-pronged approach needed for the complex problem.

Participatory design has been useful within various behaviour change settings. This paper has demonstrated the application of the double diamond model in a social marketing setting, adding value to an industry-wide project that included government, peak bodies, manufacturing and production and retailers.

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.

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.

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.

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.

Using building information modelling (BIM) technology, a conventional structure in this study was converted into a green building to measure its energy usage and CO2 emissions.

Digital images of the existing building conditions were captured using unmanned aerial vehicle (UAV), and were fed into Meshroom to generate the building’s geometry for 3D parametric model development. The model for the existing conventional building was created and converted to an energy model and exported to gbXML in Autodesk Revit for a whole building analysis which was carried out in the Green Building Studio (GBS). In the GBS, the conventional building was retrofitted into a green building to explore their energy consumption and CO2 emission.

By comparing the green building model to the conventional building model, the research found that the green building model saved 25% more energy while emitting 46.8% less CO2.

The study concluded that green building reduces energy consumption, thereby reducing the emission of CO2 into the environment. It is recommended that buildings should be simulated at the design stage to know their energy consumption and carbon emission performance before construction.

Occupant satisfaction, operation cost and environmental safety are essential for sustainable or green buildings. Green buildings increase the standard of living and enhance indoor air quality.

This investigation aided in a pool of information on how to use BIM methodology to retrofit existing conventional buildings into green buildings, showing how green buildings save the environment as compared to conventional buildings.

Information management workflow in building information modelling (BIM)-based collaboration is based on using a common data environment (CDE). The basic premise of a CDE is exposing all relevant data as a single source of truth and facilitating continuous collaboration between stakeholders. A multitude of tools can be used as a CDE, however, it is not clear how the tools are used or if they fulfil the users’ needs. Therefore, this paper aims to investigate current practices of using CDEs for information management during the whole built asset’s life cycle, through a state-of-the-art literature review and an empirical study.

Literature data is collected according to the PRISMA 2020 guideline for reporting systematic reviews. This paper includes 46 documents in the review and conduct a bibliometric and thematic analysis to identify the main challenges of digital information management. To understand the current practice and the views of the stakeholders using CDEs in their work, this paper used an empirical approach including semi-structured interviews with 15 BIM experts.

The results indicate that one of the major challenges of CDE adoption is project complexity and using multiple CDEs simultaneously leading to data accountability, transparency and reliability issues. To tackle those challenges, the use of novel technologies in CDE development such as blockchain could be further investigated.

The research explores the major challenges in the practical implementation of CDEs for information management. To the best of the authors’ knowledge, this is the first study on this topic combining a systematic literature review and fieldwork.

The aim of this paper was to study current practices in FM work order processing to support and improve decision-making. Processing and prioritizing work orders constitute a critical part of facilities and maintenance management practices given the large amount of work orders submitted daily. User-driven approaches (UDAs) are currently more prevalent for processing and prioritizing work orders but have challenges including inconsistency and subjectivity. Data-driven approaches can provide an advantage over user-driven ones in work-order processing; however, specific data requirements need to be identified to collect and process the functional data needed while achieving more consistent and accurate results.

This paper presents the findings of an online survey conducted with facility management (FM) experts who are directly or indirectly involved in processing work orders in building maintenance.

The findings reflect the current practices of 71 survey participants on data requirements, criteria selection, rankings, with current shortcomings and challenges in prioritizing work orders. In addition, differences between criteria and their ranking within participants’ experience, facility types and facility sizes are investigated. The findings of the study provide a snapshot of the current practices in FM work order processing, which aids in developing a comprehensive framework to support data-driven decision-making and address the challenges with UDAs.

Although previous studies have explored the use of selected criteria for processing and prioritizing work orders, this paper investigated a comprehensive list of criteria used by various facilities for processing work orders. Furthermore, previous studies are focused on the processing and prioritization stage, whereas this paper explored the data collected following the completion of the maintenance tasks and the benefits it can provide for processing future work orders. In addition, previous studies have focused on one specific stage of work order processing, whereas this paper investigated the common data between different stages of work order processing for enhanced FM.

The purpose of this study is to explore the suggestions that construction processes could be considerably improved by integrating building information modelling (BIM) with 3D laser scanning technologies. This case study integrated 3D laser point cloud scans with BIM to explore the effects of BIM adoption on ongoing construction project, whilst evaluating the utility of 3D laser scanning technology for producing structural 3D models by converting point cloud data (PCD) into BIM.

The primary data acquisition adopted the use of Trimble X7 laser scanning process, which is a set of data points in the scanned space that represent the scanned structure. The implementation of BIM with the 3D PCD to explore the precision and effectiveness of the construction processes as well as the as-built condition of a structure was precisely captured using the 3D laser scanning technology to recreate accurate and exact 3D models capable of being used to find and fix problems during construction.

The findings indicate that the integration of BIM and 3D laser scanning technology has the tendency to mitigate issues such as building rework, improved project completion times, reduced project cost, enhanced interdisciplinary communication, cooperation and collaboration amongst the project duty holders, which ultimately enhances the overall efficiency of the construction project.

The acquisition of data using 3D laser scanner is usually conducted from the ground. Therefore, certain aspects of the building could potentially disturb data acquisition; for example, the gable and sections of eaves (fascia and soffit) could be left in a blind spot. Data acquisition using 3D laser scanner technology takes time, and the processing of the vast amount of data acquired is laborious, and if not carefully analysed, could result in errors in generated models. Furthermore, because this was an ongoing construction project, material stockpiling and planned construction works obstructed and delayed the seamless capture of scanned data points.

These findings highlight the significance of integrating BIM and 3D laser scanning technology in the construction process and emphasise the value of advanced data collection methods for effectively managing construction projects and streamlined workflows.