Search results

While there is an increased demand from various corporate stakeholders on the need for public companies to have risk management frameworks as well as a stand-alone risk management committee to mitigate risks and simultaneously improve performance, this study investigates the effects of the risk management committee attributes on firm performance, and the role of board size is highlighted on this relationship in Malaysian listed companies.

Both accounting- and market-based performance measures have been used for measuring performance. A dynamic model using the generalized method of moments (GMM) has been employed to control for potential endogeneity, simultaneity and unobserved heterogeneity.

The findings reveal that risk management committee attributes such as size, independence and meetings negatively affect book-based performance measures and positively affect market-based performance measures. Moreover, board size positively moderates the risk management committee attributes and performance relationship. The study embraces the predictions of agency theory and resource dependence theory.

The findings are practically significant for Bursa Malaysia, Securities Commission Malaysia to assess the compliance of the Corporate Governance Code (MCCG, 2017) and for academia to further explore significant relationships in other emerging economies.

The paper contributes to multiple aspects: first, it studies the impact of risk management committee attributes on firm performance; second, it investigates the moderating effect of board size on RMC–performance relationship; in the end, the study employs dynamic modeling for estimation process to avoid dynamic endogeneity considered a main econometric problem for CG–performance relationships.

With corporate social responsibility (CSR) becoming mandatory, several firms in India have been compelled into spending resources on CSR while their business strategy and processes were unprepared to take up CSR activities, effectively. In this light, the CSR relationship with other business functions would be altered. Using Thomson Reuters data from 2010 to 2018 (pre-mandate to post-mandate) this study aims to re-examine the relationship between CSR and financial performance.

The current study is rooted in the bandwagon-bias effect theory and uses a long-term data (2010–2018) of Indian firms. It uses Refinitiv Thomson Reuters ESG rating to measure CSR and accounting measures for financial performance (FP) to make a pre-post analysis of the impact that mandatory CSR regime has had on firms performance. The study uses the weighted panel regression method.

The relationship between CSR and FP is different when CSR was voluntary than when it has been mandated by Law. CSR has a positive effect over the FP during the voluntary phase but this positive relationship weakens during the mandatory phase. The waning effect of CSR over FP substantiates the presence of bandwagon bias effect which can be explained by the crowding-in of several companies engaged in CSR activities because of the mandatory CSR law.

Few countries have made CSR mandatory therefore CSR literature is limited. But mandating CSR is a growing phenomenon so this study augments to the body of knowledge. Until now literature generally converged on a positive relationship between CSR performance and FP but the current study shows altering directions to this relationship in a changing CSR environment. The use of the bandwagon-bias theory contributes to the theoretical approaches. Theoretically, the findings add to the body CSR literature and offer impetus to the evolving domain of impact measurement and reporting.

Results of the study offer a clear indication to managers that they need to re-strategise their CSR activities during the mandatory CSR environment if they wish to draw instrumental benefits of a positive impact on the FP of their firms. CSR expenditure is now a leveller so managers may either exceed the mandatory 2% expenditure as some firms did during the voluntary CSR phase or else design their CSR implementation plans to bring about a more impactful positive change. Communicating the impact of CSR to influential and powerful stakeholders beyond the mandatory reporting to the government is yet another way through which managers can draw benefits of CSR activities. Additionally to draw positive results from CSR activities firms may consider adopting international reporting and benchmarking standards such as the GRI and ISO 26000. Finally, the results of the study can be used by policymakers to make a note that the CSR law is causing a weakening of the financial benefits and therefore.

The results of the study can be used by policymakers also need to make a note that the CSR law is causing a weakening of the financial benefits and therefore firms are adopting shortcuts, by donating the required amount of funds. But donation of funds defeats the real purpose of mandatory CSR which is social impact, therefore the regulators may want to make the necessary changes unplug the gaps in the CSR law to ensure better adherence to the law in spirit and a real impact on the ground activities.

While CSR–FP relationship has been extensively explored but limited studies have explored this relationship in a mandatory CSR environment and no other work presents a comparative view of the CSR–FP relationship, namely, before and after the mandatory CSR policy. The current study is one of the limited few studying the impact of mandatory CSR policy on FP, and the only one that uses the bandwagon-bias effect to explain the phenomenon of weakening impact of CSR on FP of firms. Bandwagon-bias effect has been used in studying consumer behaviour, where group effect impacts behaviour of individuals and with mandatory CSR policy, firms following the other firms leading to crowding in. Using the bandwagon-bias effect has found limited attention from the CSR scholars, the current study uses this theoretical basis and therefore augments the CSR literature.

In the recent post-pandemic era, the globe has been anxious for the sustainable disposal of healthcare waste to protect public health, protect the environment and enhance future preparedness. Developing countries, in particular, have struggled to dispose of healthcare waste (HCW) to eradicate the hazardous effects of medical waste generated during and after the deadly COVID-19 pandemic. Hence the purpose of the research paper is to develop a hybrid decision-making framework to identify various barriers for sustainable disposal of healthcare waste use of Grey-Decision Making Trial and Evaluation Laboratory (G-DEMATEL) and Analytical Network Process (ANP).

A hybrid framework of Grey-Decision Making Trial and Evaluation Laboratory (G-DEMATEL) and Analytical Network Process (ANP) has been used to rank barriers and sub-barriers in the disposal of healthcare waste.

The study’s findings suggest that lack of segregation practices, absence of green procurement policy, obsolete technologies and resistance to adopting change management are the topmost causal barriers influencing the remaining barriers. Lack of commitment among healthcare administrations, lack of standard performance measures and resistance to adopting change appear to be the topmost crucial barriers.

The study’s finding enables all stakeholders to prioritize the barriers systematically for better performance and save resources during the process. The policymakers can use the results to design a clear regulatory framework.

The literature has highlighted the factors and their association with the disposal of healthcare waste mainly in isolation. The results are validated against the Grey-Analytical Hierarchy Process (G-AHP) to ensure the robustness of the proposed framework. This paper is one of the preliminary attempts to propose a framework of the interrelationships of the factors that have a direct role in survival for management education.

Venue comes from the Latin word meaning ‘come’ (venire). Not only the event's location or venue affect attendance but it can also have an impact on the event's personality. Additionally, the location or venue affects the event's atmosphere and the visitor experience. The most significant benefit of revitalisation or adaptive reuse is its positive impact on the environment as razing buildings is a major source of waste and carbon emissions, by contrast, adaptive reuse reduces waste, saves energy and conserves resources. The persistence of this chapter is to investigate the challenges and opportunities in making adaptive re-use or revitalisation of heritage buildings that includes forts/palace/museums as a venue for any event. For the purpose of achieving the goal, secondary data from 2000 to 2023 have been compiled from more than 50 research articles that have been published in peer-reviewed and University Grant Commission (UGC) journals, books written by various authors, including the authors themselves, other researchers working in the related field of event management, conference proceedings and websites. The authors discovered from their examination of the literature that the significance of the event venue cannot be unheeded. The event's tone sets the stage for possible guest experience influences. One must carefully consider the kind of venues or settings that are available in the destination before conducting any event.

Construction projects require a range of documents (e.g. drawings and specifications) prepared by built environment professionals. In recent years, there has been a perception amongst professionals that quality of documentation has declined. “Low” professional fees were cited as one of the reasons for poor quality documentation. However, most studies on the topic contained inappropriate methodologies. Therefore, the purpose of this paper was to develop a conceptual methodology to comprehensively examine the relationship between fees and professional service output quality.

A systematic literature review (SLR) was conducted to evaluate the limitations of previous methodologies and identify variables in the relationship between fees and quality of professional service outputs. Findings from the SLR were used to develop a conceptual methodology to investigate the relationship between fees and quality of professional service outputs.

Based on a frequency analysis of factors in the construction literature, the three main variables influencing professional service output quality were fees, coordination and amount of time available for project tasks. The SLR and shortcomings in previous studies informed the development of a conceptual methodology to examine the relationship between fees and professional service output quality.

The conceptual methodology will assist in comprehensively investigating the effect of fees on the quality of professional service outputs. This is particularly relevant in countries where clients procure built environment professional services based on the lowest fee tendered but are concerned about quality. The methodology can establish how and to what extent “low” fees impact on professional service output quality. Industry professionals can also use variables identified in this paper to mitigate quality-related risks when producing professional service outputs.

This paper adds to the body of knowledge by identifying variables in the relationship between fees and professional service output quality. The identified variables can be monitored and controlled by researchers during future investigations. Additionally, a conceptual methodology was proposed to assist researchers to determine the effect of fees on professional service output quality. The flexibility of the conceptual methodology enables it to comprehensively investigate other key variables (apart from fees) impacting on professional service output quality.

Visual feedback control is a promising solution for robots work in unstructured environments, and this is accomplished by estimation of the time derivative relationship between the image features and the robot moving. While some of the drawbacks associated with most visual servoing (VS) approaches include the vision–motor mapping computation and the robots’ dynamic performance, the problem of designing optimal and more effective VS systems still remains challenging. Thus, the purpose of this paper is to propose and evaluate the VS method for robots in an unstructured environment.

This paper presents a new model-free VS control of a robotic manipulator, for which an adaptive estimator aid by network learning is proposed using online estimation of the vision–motor mapping relationship in an environment without the knowledge of statistical noise. Based on the adaptive estimator, a model-free VS schema was constructed by introducing an active disturbance rejection control (ADRC). In our schema, the VS system was designed independently of the robot kinematic model.

The various simulations and experiments were conducted to verify the proposed approach by using an eye-in-hand robot manipulator without calibration and vision depth information, which can improve the autonomous maneuverability of the robot and also allow the robot to adapt its motion according to the image feature changes in real time. In the current method, the image feature trajectory was stable in the camera field range, and the robot’s end motion trajectory did not exhibit shock retreat. The results showed that the steady-state errors of image features was within 19.74 pixels, the robot positioning was stable within 1.53 mm and 0.0373 rad and the convergence rate of the control system was less than 7.21 s in real grasping tasks.

Compared with traditional Kalman filtering for image-based VS and position-based VS methods, this paper adopts the model-free VS method based on the adaptive mapping estimator combination with the ADRC controller, which is effective for improving the dynamic performance of robot systems. The proposed model-free VS schema is suitable for robots’ grasping manipulation in unstructured environments.

The purpose of the article is to contribute to the body of research on digital transformation among members of the supply chain operating in an emerging economy. This paper researches the digital transformation trends happening across Vietnamese supply chains, by investigating the current adoption rates, predicted impact levels and financial investments being made in key Industry 4.0 technologies.

By using a semi-structured online survey, the experiences of 281 supply chain professionals in Vietnam were captured. Subsequently, statistical techniques examining variances in means, regression analysis and Monte Carlo simulation were applied.

The findings of this study offer a comprehensive understanding of Industry 4.0 technology in Vietnam, highlighting the prevalent technologies being prioritized. Big data analytics and the Internet of things are expected to have the most substantial impact on businesses over the next 5–10 years and have received the most financial investment. Conversely, Blockchain is perceived as having less potential for future investment. The study further identifies several technological synergies, such as combining advanced robotics, artificial intelligence and the Internet of things to build effective and flexible factories, that can lead to more comprehensive solutions. It also extends diffusion of innovation theory, encompassing investment and impact considerations.

This study offers valuable insights into the impact and financial investment in Industry 4.0 technologies by Vietnamese supply chain firms. It provides a theoretical contribution via an extension of the diffusion of innovation theory and contributes toward a better understanding of the current Industry 4.0 landscape in developing economies. The findings have significant implications for future managerial decision-making, on the impact, viability and resourcing needs when undertaking digital transformation.

Business growth is one of the most studied areas over the years. However, with the current uncertainty and entrepreneurial dynamism it becomes relevant to consider new variables such as entrepreneurial skills and competencies that influence its development. Accordingly, this research refers to the impact that the individual's skills have on the entrepreneurial environment. For this purpose, a survey has been developed of employees of different organizations considering the variables of high degree of proactivity in the employees' attitude, entrepreneurial training, innovation, previous experience or risk aversion.

The research has been conducted through fuzzy set qualitative comparative analysis (fsQCA) and the result shows the differences between the combination of variables for business growth through the consideration of sales growth and profit.

The results of this research provide new insights that allow the development and boosting of business growth.

The main contribution of this work is to pay attention to the human team of startups and show the role that this has in their growth.

This review aims to investigate the impact of Industry 4.0 on talent development, emphasizing the need to redefine talent for the future of work. By exploring the evolving job requirements, the research seeks to map the competencies essential for success in Industry 4.0 and provide insights for developing talent to stay competitive in the digital era.

The review uses a comprehensive literature review to systematically trace the evolution of talent and identify the evolving competencies needed for Industry 4.0. Drawing upon established theoretical frameworks of resource-based view, human capital theory and organizational learning theory, this review identifies key factors influencing talent development and Industry 4.0 competencies.

The findings reveal that the emergence of automated technologies has altered the traditional understanding of jobs and highlights the importance of talent development aligned with Industry 4.0. By investing in developing Industry 4.0 competencies, organizations empower employees to navigate change and remain competitive. Effective talent management strategies contribute to retaining talented individuals and achieving sustainable competitive advantage for organizations.

This study has implications for educational institutions in guiding their curriculum, for organizations to identify the skills and talents necessary to adapt to Industry 4.0 and for the government to inform policy changes that contribute to the global economy and promote a skilled workforce.

This research contributes to the existing literature by comprehensively examining talent in the context of Industry 4.0. It offers a nuanced understanding of the role of talent management in the intersection of talent, competencies and changing technologies in future-proofing organizations.

The study attempts to examine the impact of the US-China trade war on Vietnamese exports to the United States, which has consistently served as a key market for Vietnamese goods and services in recent decades. The heterogeneous effects of the trade war on different export sectors are also evaluated.

The secondary data on Vietnamese exports to the US at a 6-digit level is collected from UN Comtrade. Besides, the difference-in-differences (DiD) method is employed to analyze the impact of the trade war on exports from Vietnam to the United States.

The findings revealed a 14% increase in total Vietnamese exports to the United States due to the trade war. Examining heterogeneous effects, certain industries, such as plastics, iron or steel articles, textiles and garments, and machinery and mechanical appliances, experience significant benefits. However, the study did not identify statistically significant effects on other sectors, such as electrical machinery products, agricultural and forestry, and furniture.

The paper is one among limited studies considering the causal effects of the trade war on a developing country, accounting for the heterogeneous effects on different export sectors.