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Purpose: The study’s objective is to look at the link between money laundering and economic and financial performance, emphasising the effectiveness of the literature and possible later research directions using science mapping, which allows for scientific knowledge analysis.

Need for the Study: This study is related to a better understanding of the field’s historical evolution in terms of publications.

Methodology: This study used bibliometric approaches to analyse a sample of 660 studies from the Web of Science between 1994 and 2022, concentrating on keywords, author, paper, journal, and subject analysis. This study focused on performance analysis and scientific mapping of articles using the R package.

Findings: The empirical results indicated that the research field’s primary issues include corporate governance, fraud, machine learning, fraud detection, financial fraud, financial statement, corruption, earnings management, ethics, governance, financial reporting, bankruptcy, internal control, or performance. M. S. Beasly, D. B. Farber, E. M. Fich, R. Romano, and A. Shivdasani are the most well-known authors on the issue of money laundering and financial and economic performance. At the same time, the most typical journals are the Journal of Business Ethics, Journal of Money Laundering Control, Accounting Review, Journal of Financial Economics, and Journal of Corporate Finance.

Practical Implications: This study will act as a guide for researchers of various fields to evaluate the development of scientific publications in a particular theme over time, especially for those who are in the field of money laundering and financial performance.

In this chapter, the authors undertake a systematic review of the literature to identify research exploring the use of new information and communication technologies (ICT). New ICT include the use of the Internet, mobile communications, and social technologies. The authors find that while interest in the area is increasing, especially among marketing and information systems scholars, there seems to be far less research interest among international business (IB) and strategy scholars. This chapter provides a summary of the research that has been done and discusses some potential future research areas that IB and strategy researchers might wish to pursue. Among these projects are investigating the use of ICT as a tool to aid the internationalization process, improve location choice and entry mode decisions, and identify and create a sustainable competitive advantage. The use of ICT in business is pervasive; As research scholars, we need to build these technologies into our theories and research to help managers determine what works and where certain technologies can help create better performing firms.

Presents the findings of two surveys of computer‐based technologies to support operations management (OM) in Hong Kong. One of the surveys is to examine the status of the use of computer‐based technology and to uncover the extent to which it is being used to support quality including such aspects as quality control, quality assurance and quality management in Hong Kong. The other survey is to investigate the average level of information technology (IT) applications ‐ the Internet, World Wide Web, local area network, etc. ‐ in small and medium manufacturing enterprises (SMEs) in Hong Kong. It is focused on the information needs and access of the SMEs with a view to understanding the existing operation, problems and needs of SMEs in regard to communication, information access and dissemination and the difficulties of applying IT in these areas.

Three types of industrial buyer-seller relational process models are available: joining theory, stage theory, and state theory. However, historically, these models have developed based on the knowledge and cultural context of the Western world. Several researchers note that national culture may have an impact on international industrial buyer-seller relationships. Including culture in the models is highly important, especially as the business environment is increasingly more global and different countries have different business cultures. The goal of this paper is to define the most suitable industrial buyer-seller relational process models for describing relationships in various contexts. The paper includes a through literature review and a single case study in order to reach this objective. A new state theory model evolved during the research. It consists of two beginning states: searching and starting; four purely middles states: constant/static, decline, growth, and troubled; and a purely end state: termination. The state of dormant/inert is both a middle state and an end state, that is, when the relational actors are not in contact does not mean that the relationship has ended, but instead, for example, new legislation may have been implemented, which requires the actors to evaluate their relationship and its future. A relationship goes through the two beginning states in the order mentioned above, but after that, any state may occur.

The main objective of this study is to develop a framework for: identifying the reasons for using e‐commerce; understanding the implications of e‐commerce in companies; and implementing and applying e‐commerce successfully for improved organizational competitiveness and success.

A structured questionnaire was designed, pre‐tested, modified, and used to capture data on e‐commerce in Hong Kong. Based on the feedback from the pilot‐test, the questionnaire was modified and a final questionnaire was developed and mailed to companies in Hong Kong. In the survey, conducted with Hong Kong companies, the perceived benefits and perceived barriers of e‐commerce implementation are discussed.

The conceptual model based on the analysis of literature and some reported case experiences is developed using the current issues that have been highlighted as important e‐commerce success factors of implementation. The major factors that influence the application and implementation of e‐commerce are: perceived usefulness of web; perceived barriers of the internet for e‐commerce; usage of the internet; and perceived benefits of the internet for e‐commerce. In addition to this, country‐specific factors such as culture, technology competency, government policy, educational level, influence the level of application of e‐commerce.

The framework is the result of the validation of the theoretical model, together with the conclusions of the empirical analysis conducted in Hong Kong. The empirical analysis supported some of the assumptions of the theoretical model, whereas others were not supported. Based on the feedback received from respondents, the model has been revised to reflect these practical considerations.

Little research has been done to address the perceived benefits and potential barriers to e‐commerce implementation in Hong Kong. This study is a timely and important one in that examines the current status of e‐commerce implementation in Hong Kong. A generic framework is presented with the objective of supporting the application and implementation of the internet for e‐commerce.

Most quality management researchers make inadequate use of statistical techniques, especially multivariate statistical methods. Applies two multivariate analysis techniques, principal component analysis (PCA) and correspondence analysis (CA), to analyse potential barriers to total quality management (TQM) implementation in Hong Kong’s service and manufacturing industries. Describes and demonstrates the applicability of these techniques as analysis tools for quality researchers and practitioners. Conducts PCA on a set of survey data and produces four orthogonal dimensions to potential barriers to TQM implementation, then applies CA in order to corroborate the findings of PCA. In addition, CA provides a simultaneous graphical representation of the data organized under different categories which shows how the potential barriers relate to one another and to the different types of industry.

The purpose of this paper is to analyse the interaction of two topics: supply chain management (SCM) and the internet. Merging these two fields is a key area of concern for contemporary managers and researchers. They have realised that the internet can enhance SCM by making real time information available and enabling collaboration between trading partners.

A literature review in prestigious academic journals in Operations Management and Logistics has been conducted for the period 1995‐2005. The objective is to collect, organise and synthesise existing knowledge relating to SCM and the internet.

The paper describes the impact that the internet has on the different processes that SCM embrace. The literature review undertaken on the topic has shown that e‐SCM has been acknowledged as an outstanding topic in the supply chain literature in the most prestigious operations management and logistics journals, especially after year 2000. The main topics have been e‐procurement, e‐fulfilment and information flows.

The value of this paper is to define e‐SCM, to analyse how research in this area has evolved during the period 1995‐2005 and to identify some lines of further research.

The importance of big data analytics (BDA) on the development of supply chain (SC) resilience is not clearly understood. To address this, the purpose of this paper is to explore the impact of BDA management capabilities, namely, BDA planning, BDA investment decision making, BDA coordination and BDA control on SC resilience dimensions, namely, SC preparedness, SC alertness and SC agility.

The study relied on perceptual measures to test the proposed associations. Using extant measures, the scales for all the constructs were contextualized based on expert feedback. Using online survey, 249 complete responses were collected and were analyzed using partial least squares in SmartPLS 2.0.M3. The study targeted professionals with sufficient experience in analytics in different industry sectors for survey participation.

Results indicate BDA planning, BDA coordination and BDA control are critical enablers of SC preparedness, SC alertness and SC agility. BDA investment decision making did not have any prominent influence on any of the SC resilience dimensions.

The study is important as it addresses the contribution of BDA capabilities on the development of SC resilience, an important gap in the extant literature.

Supply chain management (SCM)-embedded valuable resources, such as capital, raw-materials, products, partners, customers and finished inventories, where the evaluation of environmental texture and flexibilities are needed to perceive sustainability. The present study aims to identify and evaluate the directory of green and agile (G-A) attributes based on decision support framework (DSF) for identifying dominating measures in SCM.

DSF is developed by exploiting generalized interval valued trapezoidal fuzzy numbers (GIVTFNs). Two technical approaches, i.e. degree of similarity approach (DSA) and distance approach (DA) under the extent boundaries of GIVTFNs, are implicated for data analytics and for recognizing constructive G-A measures based on comparative study for robust decision. A fuzzy-based performance indicator, i.e. fuzzy performance important index (FPII), is presented to enumerate the weak and strong G-A characteristics to manage knowledge risks in allied business environment.

The modeling is illustrated from the insights of decision-makers for augmenting business value based on cognitive identification of measures, where the best performance score is identified by the “sustainable packaging” under the traits of green supply chain management (GSCM). “The use of Web-based applications” under the traits of agile supply chain management (ASCM) and “Outsourcing flexibility” under traits of ASCM is found as the second and third most significant performance characteristics for business sustainability. Additionally, the “Reutilization (recycling) and reprocessing” under GSCM in manufacturing and “Responsiveness and speed toward customers needs” under ASCM are found difficult in attainment.

The G-A evaluation will assist in attaining performance excellence in day-to-day operations and overall functioning. The outcomes will help executives to plan strategic objectives and attaining success.

To reinforce the capabilities of SCM, wide extent of G-A dimensions are presented, concept of FPII is reported to manage knowledge risks based on identification of strong attributes and two technical approaches, i.e. DSA and DA under GIVTFNs are presented for attaining robust decision and directing managerial decision-making process.