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Creating a new product or service promotes the status quo changes, seeking economic value and solving customer's urgent problems. Entrepreneurs play an important role in this changing process through start-ups and small and medium enterprises (SMEs), considered one of the leading forces driving an economy’s innovative and competitive power. However, despite the importance of entrepreneurs, public policies to foster entrepreneurship ecosystems could be ineffective in emerging countries. Therefore, action research proposes the qualification of entrepreneurs for the structuring of new businesses through remote orientation, connecting the country's main economic centers to emerging areas.

The study is qualitative research comprising two phases. The first phase consisted of four-month action research, connecting two researchers and three groups of specialists (from Sao Paulo), with three groups of entrepreneurs (located in Manaus in the Amazon region), through a remote orientation in entrepreneurship, lean start-up, lean product and process development (LPPD). The second phase, conducted by a third researcher, regards a case study grounded on interviews and data collection with the entrepreneurs to capture the outcomes of the remote orientation process.

The remote orientation helped shorten the geographical distance of Amazonas to approach the integration of business, research and knowledge exchange of such distinct areas in the same country. If a remote orientation program was established as public policy, it could enact subsequent cycles of the lean start-up model. Furthermore, the remote orientation could be an alternative to compose the training subsystem in the entrepreneurship ecosystem proposed by Isenberg (2011). On the other hand, a remote orientation could fail to shorten the distance of human values and beliefs, which cannot be neglected when facing a rich territory like the Amazon.

Because of the chosen research approach, a qualitative and exploratory study based on a combination of action research, interviews and case studies, the results may lack generalizability. However, further studies can replicate the remote orientation process conducted in the region of Manaus – Amazon, to obtain distinct results regarding the advantages, disadvantages and effectiveness of remote orientation as entrepreneurship ecosystem’s human capital dimension development.

The outcomes of this research have the potential to start discussions regarding the adoption of remote orientation as a public policy to develop entrepreneurship skills in emerging regions, not only in Brazil but worldwide. The Brazilian case could be a relevant benchmark due to the large territory and economic and social disparities impacting education and entrepreneurship.

Through start-ups and SMEs, entrepreneurship has innovation potential and is the most solid way to bring economic development. For emerging countries, it can be real game-changer in the economic order. The development of entrepreneurship skills through this remote orientation experience can help reduce the economic and social gaps in countries with relevant disparities like Brazil and other emerging countries.

This paper fulfills an identified need to “move the needle of entrepreneurship in the right direction” (Isenberg, 2010) by creating local solutions for global challenges. Policymakers and leaders need to continue the experiment and learn how to improve the entrepreneurship ecosystem. In this sense, the action research approach, combined with the remote orientation, proposes an alternative to promote changes in how human capital dimension can be developed in this challenging ecosystem.

Over the past decades, Islamic finance has expanded its presence to many countries including post-Soviet region. The purpose of this paper is to empirically investigate this phenomenon in Kazakhstan by adopting qualitative sociological approach. The study also aims to provide vital information and propose recommendations for market participants to contribute to the development of Islamic finance industry in Kazakhstan.

Primary data were gathered using the qualitative method of in-depth expert interviews with nine Islamic finance professionals representing Islamic banks, ijarah companies, funds and development institutions in Kazakhstan who occupy senior positions (directors, managers, heads of departments, etc.). Furthermore, the primary data of interviews were analyzed and processed using another qualitative method of cognitive mapping, the essence of which is to graphically display the concepts that are most often used by informants.

The study has shown that first there is a demand for Islamic finance among Kazakh business and population. At the same time, Muslims are not the only consumers of Islamic financial services; therefore, it is affordability rather than religiosity that is an important criterion for choosing Islamic finance. Second, murabaha and ijarah are the two most popular Islamic financial products in Kazakhstan, while equity-based instruments are hardly ever used. Third, Kazakhstan government policy toward Islamic finance received controversial assessments of experts: the state support is declared, but specific actions required by the market participants are not taken. Fourth, key factors that significantly limit the development of the Islamic finance market in Kazakhstan include a shortage of supply, which, in turn, is strongly associated with the second factor – limited funding of local Islamic finance institutions, the absence of insurance (or guaranteeing) system of investment accounts of the local Islamic banks, insufficient economy of scale, lack of convenient service and weak marketing policy of the existing Islamic banks and, finally, lack of educational programs.

The study reveals the potential development of Islamic finance in Kazakhstan which is a rarely studied topic. The findings and recommendations of this study can be used by the regulators, market players and policymakers of Islamic finance industry in Kazakhstan, post-Soviet and other Islamic finance-oriented countries.

This study offers new insights on the future of Islamic finance in Kazakhstan: in long term, the development will be determined by new financial technologies – Islamic FinTech, but in short term – by Islamic windows (currently not allowed by Central Bank) that will help to significantly expand the audience, increase awareness and demand for Islamic finance among local businesses and public. The current study is original, important and up-to-date, as it uses an approach that sources primary data in the form of experts’ point of view instead of relying on literature or document analysis. It is not a mere theoretical study of the literature but an empirical investigation of the problem. Moreover, it seeks to contribute to the Islamic finance literature in the post-Soviet region, particularly from the experts’ perspective.

This study aims to analyse the influence of digitalisation on the management control function of small and medium-sized enterprises (SMEs). In particular, it aims to illuminate how digitalisation influences management control elements, organisation and roles/competencies and to identify obstacles to digitalisation of management control in SMEs and measures taken to overcome them.

The study is based on guideline-supported expert interviews conducted with 14 financial managers from SMEs in Germany, Austria and Switzerland.

This study reveals the influence of digitalisation on management control elements, organisation, and roles/competencies. The automation and standardisation of management control processes result in new elements for management control, such as strategic support for management. In addition, the increased availability and transparency of data enable the use of instruments within a company that allow for quick analyses of the company's development. Digitalisation leads to the integration of management control into the corporate network and, thus, a change in the organisation of management control. It also triggers the expansion of management control competencies, especially IT competencies. A shortage of internal digitalisation resources, unclear corporate roadmaps, and a lack of managerial experience loom as central challenges for digitalising the management control function. Measures derived from the interviews can help SMEs overcome the obstacles to the digitalisation of management control.

This research is the first interview-based study of the impact of digitalisation on management control in SMEs, potential obstacles to that digitalisation, and measures to overcome those obstacles. Thus, it contributes to the emerging debate on factors that may explain why SMEs lag in terms of the digitalisation of their internal processes.

The objective is to develop an empirical model estimating the relationship and interaction amongst the factors affecting and enhancing green finance (GF) in developing economies like India.

Around nine growth-accelerating enablers of green financing were found through literature and unstructured interviews and analysed using the total interpretive structural modelling (TISM) method. The hierarchical link between each factor is established using TISM, and further to evaluate the driver-dependent relationship the Matriced’ Impacts Croises Appliquee Aaun Classement (MICMAC) approach is utilised.

The findings demonstrate an interrelationship between growth-accelerating factors, where the political environment and information and communication technology (ICT), have minimal dependency but a strong driving force. Political environment and ICT are found as strategic-level factors lying at the bottom of the model driving towards the dependent variables. The government should focus on enacting effective policies such as the green credit guarantee scheme and carbon credit and establishing a regulatory framework to enhance green financing.

This study examines the literature to generalise the findings and focus on the primary motivators for developing green financing. To increase green financial activity, practitioners must concentrate on aspects with significant driving forces. Furthermore, it makes organisations more profitable, efficient and competitive and promotes long-term growth.

The study is the first in the literature which identifies the growth-accelerating factors of green financing using the TISM and MICMAC-based hierarchical models.

Blockchain has the potential to facilitate a paradigm shift in the construction industry toward effectiveness, transparency and collaboration. However, there is currently a paucity of empirical evidence from real-world construction projects. This study aims to systematically review blockchain adoption barriers, investigate critical ones and propose corresponding solutions.

An integrated method was adopted in this research based on the technology–organization–environment (TOE) theory and fuzzy decision-making trial and evaluation laboratory (DEMATEL) approach. Blockchain adoption barriers were first presented using the TOE framework. Then, key barriers were identified based on the importance and causality analysis in the fuzzy DEMATEL. Several suggestions were proposed to facilitate blockchain diffusion from the standpoints of the government, the industry and construction organizations.

The results highlighted seven key barriers. Specifically, the construction industry is more concerned with environmental barriers, such as policy uncertainties (E2) and technology maturity (E3), while most technical barriers are causal factors, such as “interoperability (T4)” and “smart contracts' security (T2)”.

This study contributes to a better understanding of the problem associated with blockchain implementation and provides policymakers with recommendations.

Identified TOE barriers lay the groundwork for theoretical observations to comprehend the blockchain adoption problem. This research also applied the fuzzy method to blockchain adoption barrier analysis, which can reduce the uncertainty and subjectivity in expert evaluations with a small sample.

Business models are increasingly recognized as a concept to support innovation in organizations. The implementation and operation of a new or altered business model involves the (re-)design of an organization's business processes and their successful execution. This study reviews and synthesizes the existing body of literature to guide organizations in systematically moving from a business model design to the implementation and operation of the business model through their underlying business processes.

A systematic literature review of the methods that bridge business models and business processes is performed. The selected 34 studies are classified according to the method's characteristics and the support in the design, implementation and operation of business models.

The results of the systematic review provide an overview of existing methods that organizations can adopt when moving from business model design into the implementation and operation of their business model using processes.

This work provides a comprehensive overview and detailed insight into the existing methods that align business models and business processes. It increases the understanding on how these two concepts can be synthesized to support more effective digital innovation in organizations. Based on the review results, knowledge gaps are identified and an agenda for future research bridging the fields of business models and business processes is proposed.

This chapter focusses on the identification of sustainability factors. Out of the 77 variables used in the questionnaire for collection of the information, on sustainability of financial innovation in e-payment system (EPS), the important factors are identified and derived using exploratory factor analysis (EFA). This chapter further presents validation of the identified factors through confirmatory factor analysis (CFA). Based on the identified factors, a model for EPS is proposed. The chapter also presents a scale developed based on identified factors.

This will not be an overstatement to state that the micro, small and medium enterprise (MSME) industry is crucial and the vital driver of the world economy. It covers different fields and dimensions such as defense products, electrical components and low-cost products. The sector plays a vital role in rendering work with low capital expenditure and is one of the emerging pillars of the Indian economy. Given the significance of this sector in contributing towards India's gross domestic product (GDP), it becomes appropriate to resolve all the issues related to MSME on a primary basis for ensuring required support. The recent global pandemic of COVID-19 has impacted this sector to a great extent. This research study targets the MSME industry and points out the directly linked enablers adding to improve the sector's resiliency and sustainability. Therefore, identification and the interrelationship between the MSME enablers need to be studied, which helps make a preliminary list that deals with their impedance benefaction towards resiliency increment.

The writers have done a comprehensive literature analysis of the enablers for the MSME sector to enable effectively and efficiently during emergencies and pandemics. An endeavor has been made on the enablers to order them by utilizing the modified Total Interpretative Structure Modelling (m-TISM) technique. Authentication of this research work highlights the significance of enablers and their position in a hierarchical structure. Further, MICMAC investigation on the recognized enablers is performed to arrange them in the four quadrants on their dependence and driving power.

The authors have attempted to predict the significance of the MSME sector and its essential contribution to the development of India's economy. The result of m-TISM in the current research work revealed the essential commitment of a hierarchical design dealing with the MSME considering the viewpoint of future development. The well-planned traditional design in the MSME helps establish better government policies and programs and transport infrastructure.

Every research study has a few restrictions. Likewise, the boundaries of the current study are that inputs collated for fostering the models are from a few specialists that may not mirror the assessment of the whole MSME sector.

The MSME sector is the developing sector in the current day, and it is needed to keep supporting the sector for the country's development. The current study has set out the functional establishment to improve MSME practicality. In addition, the research highlights the accountability of the MSME authorities to go with the identified enablers having solid driving power for successful usage of the available resources. This will help the MSME development and add value to practitioners and policymakers in the future.

The growth of this sector is essential for the development of the economy and the development of a nation. The current study presents a unique structure that gives a superior comprehension of the enablers. It will help play a crucial role in developing the MSME area. The structure model developed with the assistance of m-TISM and MICMAC examine the identified enablers with inputs from experts in the field. The hierarchy developed from the study recognized the enablers located on their commitment of suitability development of the MSME field.

E-commerce companies often manipulate customer decisions through dark patterns to meet their interests. Therefore, this study aims to identify, model and rank the enablers behind dark patterns usage in e-commerce companies.

Dark pattern enablers were identified from existing literature and validated by industry experts. Total interpretive structural modeling (TISM) was used to model the enablers. In addition, “matriced impacts croisés multiplication appliquée á un classement” (MICMAC) analysis categorized and ranked the enablers into four groups.

Partial human command over cognitive biases, fighting market competition and partial human command over emotional triggers were ranked as the most influential enablers of dark patterns in e-commerce companies. At the same time, meeting long-term economic goals was identified as the most challenging enabler of dark patterns, which has the lowest dependency and impact over the other enablers.

TISM results are reliant on the opinion of industry experts. Therefore, alternative statistical approaches could be used for validation.

The insights of this study could be used by business managers to eliminate dark patterns from their platforms and meet the motivations of the enablers of dark patterns with alternate strategies. Furthermore, this research would aid legal agencies and online communities in developing methods to combat dark patterns.

Although a few studies have developed taxonomies and classified dark patterns, to the best of the authors’ knowledge, no study has identified the enablers behind the use of dark patterns by e-commerce organizations. The study further models the enablers and explains the mutual relationships.

This study aims to test the market anomaly of herding behavior driven by the response to supply chain disruptions in extreme market conditions such as those observed during COVID-19. The authors empirically test the response of the capital market participants for B2B firms, resulting in herding behavior.

Using the event study approach based on the market model, the authors test the impact of supply chain disruptions and resultant herding behavior across six sectors and among different B2B firms. The authors used cumulative average abnormal returns (CAAR) and cross-sectional absolute deviation (CSAD) to examine the significance of herding behavior across sectors.

The event study results show a significant effect of COVID-19 due to supply chain disruptions across specific sectors. Herding was detected across the automotive and pharmaceutical sectors. The authors also provide evidence of sector-specific disruption impact and herding behavior based on the black swan event and social learning theory.

The authors examine the impact of COVID-19 on herding in the stock market of an emerging economy due to extreme market conditions. This is one of the first studies analyzing lockdown-driven supply chain disruptions and subsequent sector-specific herding behavior. Investors and regulators should take sector-specific responses that are sophisticated during extreme market conditions, such as a pandemic, and update their responses as the situation unfolds.