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This study aims to analyze the performance of quality indices to continuously validate a predictive model focused on the control chart classification.

The research method used analytical statistical methods to propose a classification model. The project science research concepts were integrated with the statistical process monitoring (SPM) concepts using the modeling methods applied in the data science (DS) area. For the integration development, SPM Phases I and II were associated, generating models with a structured data analysis process, creating a continuous validation approach.

Validation was performed by simulation and analytical techniques applied to the Cohen’s Kappa index, supported by voluntary comparisons in the Matthews correlation coefficient (MCC) and the Youden index, generating prescriptive criteria for the classification. Kappa-based control charts performed well for m = 5 sample amounts and n = 500 sizes when Pe is less than 0.8. The simulations also showed that Kappa control requires fewer samples than the other indices studied.

The main contributions of this study to both theory and practitioners is summarized as follows: (1) it proposes DS and SPM integration; (2) it develops a tool for continuous predictive classification models validation; (3) it compares different indices for model quality, indicating their advantages and disadvantages; (4) it defines sampling criteria and procedure for SPM application considering the technique’s Phases I and II and (5) the validated approach serves as a basis for various analyses, enabling an objective comparison among all alternative designs.

This study aims to examine the influence of board gender diversity on audit quality demand, considering auditor choice and audit efforts within the Gulf Co-operation Council (GCC) countries. It further examines the role of political connections and the impact of gender equality policy initiatives on this relationship.

Fixed-effects regression models are employed in a sample of 1,822 firm-year observations for financial firms across the GCC from 2011–2022 to test the hypotheses. Moreover, the two-stage-least-squares and the propensity score matching methods are used for sensitivity analysis.

The study shows a negative relationship between board gender diversity and the demand for audit quality, reflected auditor choice and audit efforts. However, the study shows a positive association between firm’s political connections and audit quality demand, which is more pronounced in gender-diverse boards. Policy initiatives for gender equality show no significant effect on the relationship between board gender diversity and audit quality demand.

The results inform governments, policy-makers, regulatory authorities and corporations by providing new evidence on the relationship between board gender diversity and the demand for audit quality, as well as the moderating role of political connections and policy initiatives in this relationship. To promote the meaningful participation of female directors in board decision-making, the findings indicate that gender stereotypes, both explicit and implicit, that can hinder female directors’ influence in board decision-making need to be addressed. Second, the study underscores for governments, policy-makers regulatory authorities and corporations that the mere appointment of female directors does not necessarily ensure their engagement in board decision-making. The appointment of female directors should go beyond symbolism and translate into meaningful engagement and influence with the board.

This study contributes to the corporate governance literature by offering new insights on the link between board gender diversity and the demand for audit quality. Beyond confirming a negative relationship between board gender diversity and the demand for quality audit, this study provides new insights on the moderating role of a firm’s political connections on this relationship. In addition, existing studies are primarily based on firms in Western countries and cannot be generalized due to differences in governance and legal structures. Given that the GCC countries have different cultures, economies, institutions, governance practices and norms compared to developed and emerging countries, our study offers a pertinent discussion on the relationship between board gender diversity and the demand for audit quality, as well as the moderating role of political connections in this relationship in the GCC countries.

Monitoring of the quality of precast concrete (PC) components is crucial for the success of prefabricated construction projects. Currently, quality monitoring of PC components during the construction phase is predominantly done manually, resulting in low efficiency and hindering the progress of intelligent construction. This paper presents an intelligent inspection method for assessing the appearance quality of PC components, utilizing an enhanced you look only once (YOLO) model and multi-source data. The aim of this research is to achieve automated management of the appearance quality of precast components in the prefabricated construction process through digital means.

The paper begins by establishing an improved YOLO model and an image dataset for evaluating appearance quality. Through object detection in the images, a preliminary and efficient assessment of the precast components' appearance quality is achieved. Moreover, the detection results are mapped onto the point cloud for high-precision quality inspection. In the case of precast components with quality defects, precise quality inspection is conducted by combining the three-dimensional model data obtained from forward design conversion with the captured point cloud data through registration. Additionally, the paper proposes a framework for an automated inspection platform dedicated to assessing appearance quality in prefabricated buildings, encompassing the platform's hardware network.

The improved YOLO model achieved a best mean average precision of 85.02% on the VOC2007 dataset, surpassing the performance of most similar models. After targeted training, the model exhibits excellent recognition capabilities for the four common appearance quality defects. When mapped onto the point cloud, the accuracy of quality inspection based on point cloud data and forward design is within 0.1 mm. The appearance quality inspection platform enables feedback and optimization of quality issues.

The proposed method in this study enables high-precision, visualized and automated detection of the appearance quality of PC components. It effectively meets the demand for quality inspection of precast components on construction sites of prefabricated buildings, providing technological support for the development of intelligent construction. The design of the appearance quality inspection platform's logic and framework facilitates the integration of the method, laying the foundation for efficient quality management in the future.

This paper aims to focus on identifying key health-care issues amenable to digital twin (DT) approach. It starts with a description of the concept and enabling technologies of a DT and then discusses potential applications of DT solutions in healthcare facilities management (FM) using four different scenarios. The scenario planning focused on monitoring and controlling the heating, ventilation, and air-conditioning system in real-time; monitoring indoor air quality (IAQ) to monitor the performance of medical equipment; monitoring and tracking pulsed light for SARS-Cov-2; and monitoring the performance of medical equipment affected by radio frequency interference (RFI).

The importance of a healthcare facility, its systems and equipment necessitates an effective FM practice. However, the FM practices adopted have several areas for improvement, including the lack of effective real-time updates on performance status, asset tracking, bi-directional coordination of changes in the physical facilities and the computational resources that support and monitor them. Consequently, there is a need for more intelligent and holistic FM systems. We propose a DT which possesses the key features, such as real-time updates and bi-directional coordination, which can address the shortcomings in healthcare FM. DT represents a virtual model of a physical component and replicates the physical data and behavior in all instances. The replication is attained using sensors to obtain data from the physical component and replicating the physical component's behavior through data analysis and simulation. This paper focused on identifying key healthcare issues amenable to DT approach. It starts with a description of the concept and enabling technologies of a DT and then discusses potential applications of DT solutions in healthcare FM using four different scenarios.

The scenarios were validated by industry experts and concluded that the scenarios offer significant potential benefits for the deployment of DT in healthcare FM such as monitoring facilities’ performance in real-time and improving visualization by integrating the 3D model.

In addition to inadequate literature addressing healthcare FM, the study was also limited to one of the healthcare facilities of a large public university, and the scope of the study was limited to IAQ including pressure, relative humidity, carbon dioxide and temperature. Additionally, the study showed the potential benefits of DT application in healthcare FM using various scenarios that DT experts validated.

The study shows the practical implication using the various validated scenarios and identified enabling technologies. The combination and implementation of those mentioned above would create a system that can effectively help manage facilities and improve facilities' performances.

The only identifiable social solution is that the proposed system in this study can manually be overridden to prevent absolute autonomous control of the smart system in cases when needed.

To the best of the authors’ knowledge, this is the only study that has addressed healthcare FM using the DT approach. This research is an excerpt from an ongoing dissertation.

This study examines the role of “Professional Directors” and their association with the quality of monitoring outcomes proxied by investment efficiency. “Professional Directors” are board members with no employment outside of serving as independent directors.

We collect data on directors on the board at the fiscal year-end from BoardEx from 2001 to 2019 with a sample of US publicly listed firms. We follow Richardson (2006) to measure the magnitude of abnormal investment, including overinvestment and underinvestment and use these to define investment efficiency.

We find professional directors improve investing efficiency, primarily by reducing overinvestment. Professional directors may generate higher monitoring quality through their financial expertise and CEO experience, making them effective in monitoring investment efficiency.

Our study suggests that a professional board enhances monitoring and advising effectiveness in the face of significant regulatory pressure to increase board diversity.

We use two perspectives: (1) the difference in the proxy variables of monitoring effectiveness and (2) the influence of the background of professional directors, to reasonably explain this challenge. We resolve the puzzle of the inconsistent evidence on the effectiveness of professional directors in the literature.

We aim to provide a systematic literature review of the determinants and consequences of labor investment efficiency in an international context. First, we offer a theoretical discussion of labor investment efficiency, followed by an examination of its measurement. Next, we review the determinants of labor investment efficiency, categorizing them into firm fundamentals including financial reporting quality, governance and controls, corporate social responsibility/environmental regulation and macroeconomic determinants. Finally, we review the limited empirical literature on the consequences of labor investment efficiency. We also provide some suggestions for future research.

We perform a systematic literature review using the Preferred Reporting Items for a Systematic Review of Meta-Analysis (PRISMA) guidelines to examine archival studies investigating the determinants and consequences of labor investment efficiency. Using a Boolean search strategy on the Scopus and PRISMA selection criteria, we review 86 published archival research articles from 2014 to the end of August 2024.

Our review highlights that firm-level fundamental factors including financial reporting quality have profound implications for labor investment efficiency. Effective governance mechanisms also help mitigate agency conflicts and information asymmetries and alleviate labor investment inefficiencies. Furthermore, the influence of regulations including ESG-related regulations and macroeconomic factors play a crucial role in shaping labor investment decisions. We find very little research on the consequence of labor investment efficiency.

Our review has highlighted that well-functioning corporate governance tools are effective in mitigating inefficient labor investments. Stakeholders, therefore, should ensure that firms have effective internal governance mechanisms in place and that external governance regulations complement and where necessary act as substitutes for internal governance mechanisms to optimize labor investments.

To the best of our knowledge, this study represents the first systematic review of extant research on labor investment efficiency. Our review highlights some research gaps, particularly about the consequences of labor investment efficiency and offers some suggestions for future research.

After studying and analyzing this case, students will be able to evaluate the strategic alternatives for growth for a small entrepreneurial business in an emerging market, analyze the trade-offs between maintaining continuity and change in the growth strategy adopted by an organization and synthesize an appropriate growth strategy for managing the trade-off between continuity and change in an organization.

It was late April 2022, and Mohammad Hamza – the founder and marketing head of Engineering & Environmental Solutions (E&E Solutions) – disconnected the call of his sales manager. His mind was fixated on how to craft the strategy for the next phase of the company’s growth. The deadline for their biggest tender was at the end of May 2022. Should he commit all the company’s reserves to this project or pursue global markets? Launched in 2015, E&E Solutions had come a long way from being a start-up with just one product to a full-blown manufacturer and environmental monitoring equipment service provider. Growing pollution and strictness in compliance propelled the demand for environmental monitoring equipment in India, poised to reach $342m by 2025. E&E Solutions leveraged its technological capabilities in Internet of Things and sensors producing low-cost monitoring equipment to gain an edge in an evolving market and bootstrapped its way to almost $5m annual turnover in 2021. However, the last review meeting brought many concerns for the next growth phase. E&E Solutions had so far focused on the domestic market, catering to the demands of private as well as government clients. A significant cause for concern had been the small order size of private players, averaging $2,000 and a lower net margin of 8%. Moreover, the company had been missing out on opportunities to bid for large government contracts owing to stringent bidding credentials required (such as turnover of at least 50%–80% of the project value and previous similar order experience with a range of at least 70% of the project value). Furthermore, the COVID-19 pandemic had stalled their efforts to tap a promising global environmental monitoring market (predicted to be $44bn by 2030). As Hamza and his team sat in their board room for a discussion, they had two alternatives. Either continue focusing on the domestic market, especially the big government contracts (more than $12m order size) or explore the markets in other emerging economies with demand for similar products (such as Middle East and North Africa region) more aggressively. Hamza was, however, wondering if they could do both, for he knew that to qualify for big government contracts, they needed to scale up. He was also getting restless after missing his target of reaching $20m in five years, especially since India’s ecosystem for start-ups and the small business sector had witnessed favorable policies and support from the government. He started pondering how to leverage his organization’s strengths and continuities to achieve the required pace and scale of change. His thoughts wandered around dividing the cash reserves of $500,000 to fuel growth without reducing the R&D budget. After all, R&D has been E&E Solutions’ forte since its inception and has been pivotal in creating its differentiation.

This case study can be used for core strategic management course at the undergraduate and graduate level of management programs. It can also be used in advanced strategy courses like strategic change, entrepreneurship and small business management offered in MBA programs.

Teaching notes are available for educators only.

CSS 11: Strategy

When the repercussions of COVID-19 were being absorbed by the world, the higher educational institutions (HEIs) were conceiving of strategies to run educational institutions on remote basis too, including the challenges linked with the teaching–learning as well as the management and other departmental needs. Leaning itself on the teaching–learning tectonic shifts amid the COVID-19 climes, the study reviews the status of “readiness” of the HEIs in Oman while bearing this in mind that the usage of information and communications technology (ICT) for distance learning and conventional learning has been considered as one of the parameters to judge the “quality” of the HEIs in Oman.

Documentary analysis alongside an in-depth reading of the quality audit reports sourced from the Oman Academic Accreditation Authority, which are publicly accessible are being referred for driving home the arguments in the study.

The study concludes that despite the case being in favor of distance learning from early on, the same doesn’t get reflected in the conclusions derived in the research conducted for assessing the teaching–learning mechanisms during the COVID-19 period. Therefore, the HEIs’ “readiness” in terms of ensuring the smooth transitioning to the remote learning pedagogical arrangements for meeting the challenges of the COVID-19 wasn’t efficacious.

The present study may be followed up with an understanding as to how the HEIs of Oman need to incorporate the perspectives of all the concerned stakeholders for the refurbishment of the teaching–learning process, especially in times of contingencies.

Apart from the policy-makers, the management of the HEIs of Oman needs to appreciate the need to be proactive and appreciative of the inclusion of ICT tools and techniques in the mainstream pedagogical settings.

Notwithstanding the emphasis upon the preparedness and readiness for tackling the challenges posed by the COVID-19 for the HEIs in Oman, no study has attempted to delve into the issue succinctly—the present study fills this gap.

The purpose of this paper was to study the color change kinetics of lac dye in response to aldehydes, carbon dioxide and other food spoilage metabolites for its potential application in intelligent food packaging.

UV–Vis spectroscopy was used to study the color change of dye solution. Ratio of absorbance of dye solution at 528 nm (peak of ionized form) to absorbance at 488 nm (peak of unionized form) was used to study the color change. Color change kinetics was studied in terms of change in absorbance ratio (A₅₂₈/A₄₈₈) with time using zero and first-order reaction kinetics. Lac dye-based indicator was prepared to validate the result of study for monitoring quality of strawberries.

Lac dye was orange-red in acidic medium and purple in alkaline medium. Color change of dye in response to benzaldehyde followed zero-order reaction kinetics, whereas for carbon dioxide first-order model was found best. No color change of dye solution was observed for alcohols, ketones and sulfur compounds. In the validation part, the color of the indicator label changed from purple to orange when the strawberries spoiled.

The study expands application area for lac dye as sensing reagent in intelligent food packaging for spoilage or ripeness detection of fruits and vegetables.

The aim of this paper is to determine whether the dominant integrated water resources management (IWRM) paradigm within which the Pra River Basin is managed holds the key to address the current water security and sustainability issues in Southwestern Ghana.

This study employed a literature review developed based on water security and sustainability studies as well as normative scenarios from the broad scenario planning methodology. The study builds on Wæver’s Theory of Securitization and the Utilitarian theory to protect water bodies through the use of artificial intelligence (AI).

Insights on introducing innovative environmental sustainability technology are presented and propose the Pra-integrated smart water security management decision-making system that uses visual inspections, noise sensors, the potential of hydrogen (pH) probe sensor, real-time collection of hydrological data (streamflow) and wireless transmission of the data in real-time at the basin level. This serves as a robust tool for managing the basin’s sustainable development ecosystem by using AI to protect water bodies against illegal mining.

The proposed innovative environmental technology which is the first of its kind is meant to gain a better understanding of pollution incidents and respond quickly to them by integrating AI and Internet of Things (IoT) technologies with traditional IWRM practices. This addresses water security in the Pra Basin, supports policy development and innovation, strengthens the goal of the government to protect water resources against pollution and contributes to the African Water Vision and the United Nations’ Agenda 2030 Sustainable Development Goals 3 and 6.