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Digitalization can drive the sustainable development of society and industry. However, a lot of the opportunities are tightly related to the risks. This chapter investigates how academic performance in terms of scientific publications at the intersection of digitization, sustainable development, and industry brings added value to the research field. The analysis focuses on the academic papers that research the relationship between digitalization, sustainable development, and industry, analyzing comparatively two primary academic databases, Scopus and Web of Science (WoS). To do that, two samples of scientific publications were investigated. The first sample comprised 703 documents indexed in WoS, while the second was formed by 566 documents indexed in Scopus. The analyzed period for WoS is 1996–2022, while for Scopus is 2000–2022. The empirical results indicated that the research field's primary issues include digitalization, digital transformation, the construction industry, sustainability, COVID-19, and innovation for both WoS and Scopus. The most relevant authors on this cross-cutting subject in the WoS database are Beier G., Aigbavboa C., and Kumar M. In contrast, in the Scopus database, we found Beier G., Ghobakhloo M., and Iranmanesh M. At the same time, the most typical journals are the International Journal of Production Research, Sustainability, and Computers in Industry for WoS and Sustainability, Journal of Cleaner Production, and Procedia CIRP for Scopus.

This study aims to investigate both market concentration and bank competition of banking across six emerging Asian countries (e.g., Bangladesh, Indonesia, India, Philippines, Malaysia, and Vietnam) over pre and post the 2008 global financial crisis. The conduct parameter approach following the framework suggested by Uchida and Tsutsui (2005) is used to estimate bank competition in these countries. The study employs both seemingly unrelated regression (SUR) and three-stage least squares (3SLS) to estimate simultaneously the system of equations in our model. Generally we find a negative association between market concentration and bank competition across most of the countries in the study suggesting that banks in concentrated markets collude to generate higher profits. Monopolistic competition was the best description of competitive structure of banking across the majority of countries investigated by this study. The study fills the gap in the banking literature by investigating bank competition, concentration, and their relationship across emerging Asian economies over the 2008 global financial crisis. Moreover, several policy implications for banking industry are suggested.

This chapter investigates the presence of a difference in the systemic risk level between Islamic and conventional banks in Bangladesh. The authors compare systemic resilience of three types of banks: fully fledged Islamic banks, purely conventional banks (CB), and CB with Islamic windows. The authors use the market-based systemic risk measures of marginal expected shortfall and systemic risk to identify which type is more vulnerable to a systemic event. The authors also use ΔCoVaR to identify which type contributes more to a systemic event. Using a sample of observations on 27 publicly traded banks operating over the 2005–2014 period, the authors find that CB is the least resilient sector to a systemic event, and is the one that has the highest contribution to systemic risk during crisis times.

Islamic banking contributes significantly to the total assets of Malaysian banking sector. Yet, many argue that Islamic banking in Malaysia does not receive satisfactory support and participation from the public mainly due to poor awareness of its products and services and misconception about the Islamic banking system. It is timely to study consumers’ awareness of Islamic banking in the hopes of providing useful strategies for and assistance with marketing plans. This study is to explore consumer awareness towards Islamic banking products and services across a diverse set of demographic variables.

A quantitative approach was used in this study. A total of 1,000 questionnaires were distributed via convenience and snowballing sampling method to bank customers in a public university in Malaysia, and 817 responses from the survey were used for the analysis. Descriptive and non-parametric statistics were employed to answer objectives of this study.

The findings of this study are anticipated to provide a holistic and comprehensive marketing insight to improve and strengthen Islamic banking in Malaysia.

This study examines the role of demographics such age, gender, race/religion, education level, occupation and income level in trying to understand the issues of Islamic banks’ product awareness. It is well accepted that the consumer’s attitude or behaviour should be studied among others through understanding customers’ demographics.

The development of new technologies directly contributed to the emergence of advanced instruments, which in turn enabled the rise of new solutions associated with Industry 4.0 (I4.0). These technologies associated with I4.0 are adapted and used by individual users in diverse ways. Many determinants influence this diversity. One of the significant elements impacting such behaviour is age.

The main objective of this chapter is twofold. Firstly, it is to evaluate the differences among the four generational cohorts in how they use I4.0 tools, and secondly, to develop a conceptual framework of interdependencies between diverse I4.0 tools, their use – along with preferences and attitudes – and the generations as a moderate variable that influences the tools' use. In this chapter, we employ an inductive approach and apply the literature studies according to the SALSA method. This research contributes to the existing literature by framing the interdependencies between individuals' attitudes, their use of I4.0 tools and their age.

This study analyzes the impact of exchange rate volatility (ERV) on inbound tourist arrivals from four ASEAN countries namely Indonesia, the Philippines, Singapore, and Thailand during 1970–2017. Volatility in the exchange rates between the tourist currency and ringgit Malaysia is measured using the Generalized Autoregressive Conditional Heteroskedasticity model. The results from Autoregressive Distributed Lagged models indicate that ERV has no significant impact on tourist arrivals from ASEAN to Malaysia. This implies that tourists from these countries may not be sensitive to ERV when choosing Malaysia as their travel destination. There are two possible explanations for the results. First, Malaysian ringgit has been depreciating against major currencies and regional currencies in recent years, which makes ringgit relatively cheaper than other ASEAN currencies. Second, the empirical results of the study support the argument that ERV has a more serious impact on tourist spending compared to tourist arrivals.

It has long been recognized that overwhelmed employees of bureaucratic organizations use a variety of strategies to cope with demand for their services, often at the expense of their clients. One such strategy involves discouraging clients from taking action by making references to complex bureaucratic procedures and routines. While the public management literature has a well-developed research program focusing on the mobilization of such administrative burdens, organization theory seems to be lagging behind in the analysis of that type of misconduct. In this chapter, we explain how references to the representational dimension of routines can be used to discourage clients from taking action, what are the boundary conditions of such a strategy, and its possible consequences for clients.

The world is changing fast and pace of changes that are being observed since start of the twenty-first century have never been observed before. Due to such changes and their impact, world is described in terms of Volatile, Uncertain, Complex and Ambiguous (VUCA). The trend of industry 4.0 is also said to be an another contributing factor into the VUCA environment. The VUCA creates a lot of challenges for organization from the perspective of management and leadership. Both business and leadership agility are needed more than VUCA as the VUCA world is becoming old. Therefore, the purpose of this research is to review the literature and to summarize the understanding with regard to managing VUCA-RR world in an era of Industry 4.0. Since the advent of term VUCA, many researchers have provided theoretical model and framework to guide managers regarding to their action and strategies. But, current research postulates based upon the literature that agile management’s tools and techniques are highly effective in managing the situation of VUCA-RR in the era of Industry 4.0. The research concludes that Industry 4.0 together with VUCA-RR and indecently possess to change management challenges to organizations. The organization can be in better position to manage change management challenges posed by Industry 4.0 by implementing the agile management. The Industry 4.0 will latter compliment to agile management tools and techniques which will make any organization to become a better equipped to face the VUCA-RR world. The research has also concluded that agile management powered by Industry 4.0 enabling technologies presents enormous opportunity in the form of VUCA 2.0 (Vision, Understanding, Courage, Adoptability, Rapidity and Radicality) that can be used to square off the effect of VUCA-RR world.

Purpose: Small and medium enterprises (SMEs) are the most significant contributors to maximum employment generation, the gross domestic product (GDP) of many countries, and the overall global economy. It is also evident that cyber threats are becoming a big challenge for SMEs, which is directly impacting global economy.

Methodology: Existing research inputs were accessed to understand current cyber threats for SMEs and their cybersecurity posture. Additionally, this research has collected the latest insights by taking direct inputs from SMEs and conducting a well-designed research survey. It has provided a few direct inputs to designing solutions for the SME segment. For analysis and recommendations, cybersecurity best practices and core cybersecurity concepts are considered at the centre of the solution.

Findings: Implementing existing cybersecurity standards or frameworks is not easy for SMEs, as they generally have limited resources and different priorities for their business when it comes to the implementation of any cybersecurity controls. Currently, many cybersecurity standards are not able to support the implementation of business domain-specific controls.

Practical implications: Along with the research findings shared in this chapter, as a resolution to the problems faced by SMEs, the authors will propose a new framework as a solution. This framework is designed using core concepts of cybersecurity such as confidentiality, integrity, and availability (CIA triad) as well as defence in depth (DiD) mechanisms in each layer of organisation. The authors will also share a high-level idea about how reliable artificial intelligence-based software can help identify recommended controls for particular SMEs.