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Introduction: Regulatory technology (Regtech) uses technology and innovative techniques to improve and expedite regulatory compliance procedures across various sectors, notably the financial industry. This chapter closely examines how Regtech is being used in the financial sector.

Purpose: This study examines the adoption and implementation of Regtech solutions in the financial sector. It aims to identify the leading technologies propelling the adoption of Regtech and the benefits and challenges financial institutions face when implementing Regtech solutions for regulatory compliance.

Need of the Study: The study examines the increasing demand for effective regulatory compliance in the financial sector. Financial institutions seek novel ways to streamline compliance procedures as regulatory complexities increase. This study fulfills the need to examine the adoption of Regtech as a potential solution to enhance regulatory compliance’s efficiency and effectiveness.

Research Methodology: This chapter’s research methodology entails a comprehensive review of existing studies, and examples to collect pertinent data and insights. The current study provides an extensive and comprehensive view of the existing studies. Examining real-world examples provides practical examples and demonstrates the efficacy of Regtech in the financial sector.

Findings: The findings reveal that the adoption of Regtech is gaining momentum in the financial industry, with increasing recognition of its potential benefits. Financial institutions leverage Regtech solutions to automate compliance processes, monitor regulatory changes, and enhance risk management practices. However, technological complexities, regulatory constraints, and data security concerns pose significant hurdles to widespread adoption.

This study aims to explore the determinants of green electronics purchase intention in Malaysia by extending existing knowledge on green consumer behavior and contributing to the field of sustainable consumption.

A quantitative research approach was adopted, with data collected from 250 Malaysian consumers. The proposed model was tested using partial least squares structural equation modeling to assess the relationships between various determinants and green purchase intention.

The results demonstrate that perceived consumer effectiveness, green advertising and monetary cost positively affect environmental attitudes, which subsequently influence green purchase intention. The study also identifies that brand image and information quality significantly enhance green brand trust (GBT), leading to stronger intentions to engage in green purchasing. Additionally, it finds that environmental knowledge and environmental concern shape perceived behavioral control, which further impacts green purchasing intention.

The study focuses on Malaysian consumers, which may limit the generalizability of the findings to other cultural contexts. Future research could expand the scope to include cross-cultural comparisons to validate the model in different settings.

By providing insights into the key factors driving consumers’ intention to purchase green electronics, the study offers valuable guidance for marketers and manufacturers to develop targeted strategies that promote sustainable consumption and capitalize on the growing demand for green products in Malaysia.

This study is unique in measuring the influence of green attitude, GBT and perceived behavioral control on green purchase intention specifically within the electronics sector, offering a novel contribution to the literature on sustainable consumer behavior.

This research aims to investigate, in the context of a crisis, how adaptive marketing and open marketing capabilities directly contribute to enhance SMEs' business model innovation taking into consideration the mediating role of strategic flexibility.

Based on a sample of 120 small firms, our theoretical model is tested through a cross-sectional study. PLS-SEM is applied as the analytical technique.

The results show that open marketing capabilities are positively related to business model innovation and that this relationship is partially mediated by strategic flexibility. Furthermore, adaptive market experimentation capabilities enhance business model innovation only when fully mediated by strategic flexibility.

Extending existing explorative research, our research illuminates how adaptive market experimentation and open marketing capabilities, in conjunction with strategic flexibility, can help SMEs to better adapt existing business models during a time of crisis. Our findings underline the potential contribution of planned test-driven activities, trial-and-error processes, data-based decisional processes and benchmarking activities. We also document how stronger networking capabilities and organizational openness strengthen the firm's ability to access the required additional resources and insights they need. These contributions remain however conditioned by the use of a convenient sampling design as well as the cross-sectional nature of the data.

Our findings underline the importance of empowering SMEs to nurture more effective experimental approaches in the long run, along with a more formalized open marketing posture. Our study also highlights the need for SMEs to improve their awareness of the risk of inertia and the benefits of nurturing their overall flexibility so they can adapt in an adequate and timely manner.

The findings of this study build on the perspective of adaptive marketing capabilities and add to the business model innovation literature in two ways. First, our study provides new insights into the cumulative and concrete consequences of market experimentation and open marketing capabilities on small firms' business model dynamics in the context of a crisis. Second, our findings illuminate the crucial role of strategic flexibility which, partly or entirely, contributes to the full realization of the potential of the marketing capabilities at hand.

The main purpose of this study is to provide a relatively integrated perspective on the role of market orientation, strategic flexibility and technological capability as multiple organizational capabilities and their potential effectiveness in promoting business model innovation (BMI) and business performance.

To achieve this objective, an empirical survey was conducted among 379 firms in Greece. Initially, exploratory factor analysis and then confirmatory factor analysis were applied. Finally, the structural relationships among the latent factors were determined through structural equation modeling.

The results show the positive effect of market orientation on strategic flexibility and technological capability. Strategic flexibility drives firms to BMI and then business performance. Furthermore, it is essential that firms build up technological capability to be effective in BMI and business performance.

Data were collected at only one point in time from one country, Greece. This might pose limitations on the generalizability of our results. Future research could also explore how organizations develop strategic flexibility and BMI capabilities in different environmental contexts and organizational structures.

This study sends the message that companies focusing on market orientation and technological capability can led to higher strategic flexibility and BMI capabilities, which in turn act as a catalyst for business improvement.

The proposed model provides plausible guidelines that advance the research on multiple organizational capabilities in companies.

In spite of intensive research that explained the strategic flexibility-performance and information technology (IT) strategy-performance relationships, there is a little insight regarding how these notions ideally affect business performance. Accordingly, this study attempts to investigate how businesses can translate IT directions and strategic practices into actual increases in business performance. More precisely, the primary purpose of this paper is to explore the influential role of strategic flexibility and IT strategy on business performance considering balanced scorecard (BSC) dimensions in the context of the tourism industry.

An empirical investigation of 331 tourism businesses was performed to explore the relationship between strategic flexibility, IT strategy and business performance. A non-probability convenience sampling was applied to select the sample. Factor analysis, descriptive statistics and cluster analysis were used to analyze the data.

The findings include the clustering of the studied businesses in terms of strategic flexibility and IT strategy. A cluster analysis based on strategic flexibility indicates that businesses can be divided into four main clusters, and based on IT strategy, they can be classified in three main clusters. The results show that businesses with a high level of strategic flexibility and a high level of IT strategic practices have high performance. More importantly, it was known that proactiveness and strategic use of IT have more predictor role on performance.

A review of the strategic management literature reveals a lack of empirical studies that adequately explore the significant roles of strategic flexibility and IT strategy on business performance in the tourism industry. This paper provides actionable insights into these two main determinants that explain why some tourism businesses outperform others. The primary contribution of this study is to address the gap in our understanding of the interconnections between strategic flexibility, IT strategy and business performance through cluster analysis in the tourism industry.

The main objective of the present investigation is to develop a novel efficient stochastic model for availability optimization of reverse osmosis machine system (ROMS) for water purification under the concepts of exponentially distributed decision variables and various redundancy strategies at the component level.

ROMS is a complex framework configured in a series structure using six subsystems. Initially, a state transition diagram is developed and Chapman–Kolmogorov differential-difference equations are derived using Markov birth death process. The steady-state availability of the ROMS is derived for a particular case. The impact of variation in failure and repair rates measured on availability. Furthermore, an effort is made to predict the optimal availability of the ROMS system using the metaheuristic algorithms, namely, dragonfly algorithm (DA), grasshopper optimization algorithm (GOA) and whale optimization algorithm (WOA).

It is observed that the ROMS system predicts optimal availability of 0.999926 after five iterations with a population size of 300 by the WOA. The findings of this study are significant for reliability engineers as well as for maintenance engineers to ensure the availability of ROMS for water purification.

In the present investigation, a novel stochastic model is developed for ROMS, and metaheuristics algorithms are applied to predict the optimal availability.

The COVID-19 pandemic resulted in a dramatic downturn in the global stock markets. Investors look for safe stocks that can provide better risk-adjusted returns. Stocks with higher Environmental, Social, and Governance (ESG) scores can be good choices for investors. This study focuses on this argument by examining the relationship between ESG indicators and stock returns while considering financial and macroeconomic variables.

In this study, 39 non-financial firms listed in Nifty-50, for which data is available, have been included. Panel data from 2018 to 2021 is collected to examine this relationship in the presence of COVID-19. Additionally, the panel regression method is used.

The empirical findings indicate a positive relationship between ESG scores and stock returns. This relationship holds even when the control variables like Return on Assets (ROA), Gross Domestic Product (GDP), Return on Equity (ROE), age, size, leverage of the firm, inflation, and crisis period are used in the model.

This study contributes by examining the linkage between ESG indicators and stock return while controlling the impact of the financial and macroeconomic variables in Indian markets, which has not been undertaken so far. Moreover, this is the first study to use the ESG score data of S&P Global, which gives more weight to the material factors of a firm.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-10-2023-0819.

The purpose of this paper is to identify the differences in employer branding between the companies that participate and those that do not participate in employer ranking.

Quantitative data were collected through a survey from 188 companies operating on the Russian labour market. Descriptive statistics, frequency analysis, correlation analysis and multivariate analysis of variance were used to analyse the collected data.

The findings revealed specific profiles of the companies that participated and did not participate in employer ranking. Companies differed in their employer branding orientation, internal branding, employer branding strategy, employer branding programmes and employer branding communications tasks. At the same time, brand orientation did not differ between participants and non-participants of employer ranking.

This study integrates the employer brand equity theory and the signalling theory to better explain the differences between participants and non-participants of employer ranking.

The inclusion of technology in teaching–learning ensures better clarity and interactivity in the delivery of content, leading to enhanced student engagement. The present paper aims to identify the determinants of adopting virtual reality (VR) learning from the educators’ perspective. The mediating role of hedonic motivation for adopting VR is also explored.

This quantitative research is conducted using a conceptual model with the help of a literature survey. A self-designed questionnaire was used to collect primary data. The respondents were teachers working at higher education institutes. A sample of 341 respondents were used and the data was analyzed using confirmatory factor analysis and structural equation modeling.

Results demonstrate that digital competence and technology support are the factors affecting the perceived ease of use, which further affects the attitude and intention of adoption. The role of hedonic motivation is established as a mediator in attitude toward virtual reality and adoption intention.

The study is a valuable addition to the existing literature as it presents the conceptual model and explores the imperative role of hedonic motivation. This provides a unique aspect to this research. Educators and the management of higher education institutes can use the findings to make decisions and create policies regarding integrating VR in existing curricula.

The paper aims to explore and explain sustainable behaviours in an organizational context using self-determination theory, suggesting that individuals are likely to be engaged in green practices when supported by their needs.

The study used three waves of longitudinal design, consisting of 702 executives in leadership roles across public and private companies with an average of 15–20 years of work experience. Professionals working throughout PAN India, the USA, Germany and Australia provided us with the data.

Green transformational leaderships play a pivot in fostering optimism in employees when recrafting their work. Employees being encouraged to evaluate their jobs within the organization’s capacity would bring meaningful change and envision a sustainable future. All the study hypotheses were supported, highlighting the importance of green-focused leadership with individual agencies in line with the organization’s green values.

Using sustainable practices advances organizations in providing green commitment through leadership. Implementing this in the organization can help achieve long-term success by ensuring sustainable practices are embedded in culture rather than a peripheral initiative promoting sustainable decision-making and behaviours.

The study provides insights into the factors influencing decisions to maintain and adopt sustainable practices by providing a deeper understanding of green behaviour change and strategies for promoting pro-environmental strategies in organizations.