Search results

In this chapter, the authors employ bibliometric, co-word, and thematic analyses to explore the scientific intersection between higher education (HE) and sustainable development (SD). In particular, the authors analyze a dataset of 215 articles extracted through the Scopus database to understand how the literature debates sustainability and HE. After providing a detailed description of the methodology employed, the authors perform a descriptive and thematic analysis of the dataset. The authors outline general information about the database, the formula applied to search for the results, and the methods used to polish the dataset. The authors then determine the number of publications per year and the number of papers per journal; consider the most used keywords; and build a thematic map based on the co-occurrence network. Lastly, the authors discuss the results and the limitations of our work, providing some indications for future research opportunities.

Interest in the Electronic Word-of-Mouth (eWOM) in connection with tourism is constantly growing not only among consumers but also among theoreticians. Therefore, the objective of this chapter is to provide an overview of studies that focus on eWOM in the tourism sector using the snowball method. The article is based on a review of the literature of 60 studies that focus not only on consumer behavior in tourism and the impact of eWOM on tourism supply but also on the impact of hotel managers' responses to other consumer behavior and tourism companies. The results of the studies show that eWOM has a significant impact not only on consumer behavior but also on tourism supply. Manager responses can also strongly affect other consumer behavior in decision-making. When eWOM is distributed, consumers are influenced by their emotions, motives, and also by the websites to which they have decided to contribute. The chapter proposes further research areas for different authors.

Purpose: This chapter aims to perform text analysis to investigate the academic area delimitated by economic and financial performance and money laundering.

Need for the study: The findings contribute to the body of literature by providing important insights in terms of money laundering and financial performance.

Methodology: In order to achieve the research objective, further than 640 papers were retrieved from the Web of Science from 1994 to 2022, concentrating on the most referenced documents found in the superior quartile.

Findings: The empirical findings emphasise that the article with the unique words Fraud Detection System: A Survey by Abdallah A., Maarof M. A., and Zainal A., examines a complete and systematic assessment of the concerns and obstacles that impede the performance of fraud detection systems. Furthermore, topic modelling findings highlighted the presence of four main topics: topic 1 – identified by ‘performance’, ‘firms’, ‘financial’, ‘fraud’, and ‘board’; topic 2 – described in terms of ‘fraud’, ‘accounting’, ‘evidence’, ‘audit’, and ‘research’; topic 3 – identified by ‘firms’, ‘fraud’, ‘financial’, ‘CEO’, and ‘results’ while topic 4 – identified through ‘fraud’, ‘detection’, ‘data’, ‘cost’, and ‘card’.

Practical implications: This study will act as a guide for researchers of the financial performance field to explore the scientific publications in the field of money laudering.

This research examines the bidirectional relationship between Environmental, Social and Governance (ESG) voluntary disclosure engagement and financial performance of a panel of banks extracted from the Gulf Cooperation Council (GCC) banking industry, covering a period of 11 years (2007–2017). We find that GCC banks, and in particular Islamic banks, voluntarily disclose low level of information related to ESG activities. Using system GMM methodology, we provide evidence that ESG disclosure adversely affects bank performance, regardless of the bank performance measure used. Thus spending on ESG turns out to be costly for GCC banks, a result that is consistent with the agency problem, where managers are likely to reduce long-term expenditures related to ESG actions in order to boost short-term profits. As managers' compensations often relate to short-term financial performance, managers tend to reduce their spending on ESG activities. Furthermore, contrary to previous research, our results indicate that the relationship between ESG and financial performance is bidirectional and dynamic. We also find evidence that ESG disclosure positively affects performance only for well-diversified banks. Finally, although conventional banks disclose significantly more information related to ESG activities, we do not find any significant differences between the two types of banks in the relationship between ESG disclosure and performance. Our suggestion is that these results are consistent with what we call “clientele” and “gravitation” effects, where a customer tends to choose to deal with the bank that reflects his religious beliefs (gravitation effect) and with the bank that provides him with the best services (clientele effect) regardless of its ESG disclosure.

The unstable money demand function over the recent decades may explain the unsatisfactory performance of the exchange rate model. Numerous studies have shown that Divisia money serves as a better variable for a stable money demand function. In this study, Divisia money is used as an alternative money supply in MYR/USD exchange rate determination. This study finds that Divisia money differential, real income differential, relative short-term interest rate and real stock prices affect the MYR/USD exchange rate in the long run. The major implication of this study is that policy-makers could monitor the MYR/USD exchange rate via the money supplies following the principle of Divisia monetary aggregate, which assigns higher weightage to more frequently traded monetary assets.

Malaysia has shifted from a labor-intensive, agriculture-based economy since its independence in 1957 to a knowledge and innovation-based economy. Human capital development (HCD) is a key enabler for driving and sustaining Malaysia's socioeconomic growth. The education and training system is the main platform for HCD intervention. To sustain and achieve goals, long-term survival, competitive advantage, and sustainability, the workforce is optimized through comprehensive HCD interventions to provide the necessary knowledge, skills, and competencies needed to work effectively in a rapidly changing and complex environment. Numerous efforts have been made by the government to ensure that the education and training system has the capacity to enhance the quality and availability of intellectual and skilled human capital to support the transition toward knowledge-intensive activities, sustain economic growth, and compete in the global market. The country's development plans and policies as well as the economic development which lead toward a knowledge-based economy with a knowledge-based workforce have charted out clear transformation journeys for the development of the human capital ecosystem. This chapter presents an overview of the landscape of HCD in Malaysia. Relevant reports, plans, policies, and strategies to strengthen human capital through education and training is reviewed. Finally, a few issues and challenges that Malaysia experiences are discussed.

On its way to develop a smart grid in Indonesia, one key enabler in the early stage of implementation is advanced metering infrastructure (AMI). Thus, Perusahaan Listrik Negara (PLN), an electrical energy utility company owned by the government of the Republic of Indonesia as the only electricity utility company servicing customers from upstream to downstream in Indonesia, has started AMI program at some main cities. With AMI, real-time energy consumption profile, energy meter status and condition, and customer power quality can be acquired. Subsequently, these data collected by AMI can be used for further smart grid implementation by such IT systems and big data analysis. Instead of its function for smart grid backbone, AMI also significantly support smart energy on the city as a part of smart city initiatives. Nevertheless, its implementation requires more investment than the conventional metering system. This investment needs to be evaluated to define whether AMI is feasible and viable or not. This chapter is intended to observe the feasibility of AMI implementation in Indonesia using cost-benefit analysis (CBA). Two schemes were used as study objects, one scheme in which the communication infrastructure was managed by PLN itself, and the other one in which the communication infrastructure was managed by a third party. From the analysis, it appears that both schemes are proven to be feasible.

This is the first study to investigate the impact of corporate social responsibility (CSR) on corporate financial performance (CFP) in Mongolian banks. We hand-collect data to construct CSR disclosure index from 65 annual reports of 12 banks in Mongolia from 2003 to 2012. The results indicate that banks with larger size or Chief Executive Officer duality exhibit higher CSR performance. Moreover, banks with higher CSR performance tend to have higher net interest margin and lower non-performing loan. Furthermore, the CSR–CFP relationship varies before and after the financial crisis. The findings provide meaningful insight to the foreign investors regarding the effect of CSR on the profitability and credit risk in Mongolian banking sector.