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The purpose of this study is to explore the impact of deviant workplace behavior on digital transformation in the public sector. This contributes to the current literature on public sector digital transformation as well as to that of deviant workplace behavior in public sector contexts.

The authors conduct a qualitative case study of a digital transformation initiative in a Swedish municipality.

The authors identify three types of institutional drift related to digital transformation, i.e. decelerating digital transformation, maintaining infrastructural stability and accelerating digital transformation. The authors categorize mediators for said drift and theorize on the role of deviant workplace behavior as a strategic driver for digital transformation in public sector organizations.

With the study being a qualitative case study, it is limited in terms of generalizability and transferability. Through this study, the authors sensitize the notion of digital transformation and show how deviant behavior results in strategic polyphony. Future studies are informed through offering a new perspective to public sector digital transformation strategy.

Practice should view deviant workplace behavior as simultaneously constructive and destructive in lieu of planned digital transformation, as well as see its presence as a potential sign of subpar prerequisites for digital transformation in the public sector.

Through this study, deviant workplace behavior is highlighted as a source of strategic polyphony and hence an important aspect of public sector digital transformation strategy.

Through being the first paper, to the best of the authors’ knowledge, to apply the theory of institutional drift to digital transformation settings as well as identifying the impact of deviant workplace behavior on digital transformation, the study offers novel insights.

Rebuilding communities in economically struggling places might mean taking steps to combat poverty and promote economic growth. This can entail boosting employment prospects, promoting small-town enterprises, and enhancing access to health care and education. The COVID-19 pandemic had a significant and all-encompassing influence on economy around the world. In order to craft a convincing case for the critical role that microfinance plays in promoting the expansion of small and medium-sized enterprises (SMEs) and, as a result, helping to rebuild communities and achieve the Sustainable Development Goals (SDGs), the author has used a thorough literature-based methodology in this chapter. This is an opinion-based chapter. In order to discover recurring themes and patterns connected to microfinance, SME development, and SDGs, the author has rigorously analyzed and integrated the data and insights offered in various sources. The presented thoughts and policy suggestions are built upon the findings of this literature research.

Although previous research has examined the role of franchising for the economic development of countries, no empirical study to date has investigated the importance of franchising for social, infrastructural, and institutional development. The authors address this research gap by applying research results from the field of sustainable entrepreneurship and highlight that franchising has a positive impact on economic, social, institutional and infrastructural development.

This study uses a fixed-effects model on a panel dataset for 2006–2015 from 49 countries to test the hypothesis that franchising positively influences various dimensions of country development such as economic social institutional and infrastructural development.

The findings highlight that franchising has a positive impact on the economic, social, infrastructural, and institutional development of a country. Specifically, the results show that the earlier and the more franchising systems enter a country, the stronger the positive impact of franchising on the country's economic, social, institutional, and infrastructural development.

This study has several limitations that provide directions for further research. First, the empirical investigation is limited by the characteristics of the data, which are composed of information from 49 countries (covering a period of 10 years). Because franchising is not recognized as a form of entrepreneurial governance in many emerging and developing countries, the available information is mainly provided by the franchise associations in the various countries. Hence, there is a need to collect additional data in each country and to include additional countries. Second, although the authors included developed and developing countries in the analysis, the authors could not differentiate between developed and developing countries when testing the hypotheses, because the database was not sufficiently complete. Third, future studies should analyze the causality issue between franchising and development more closely. The role of franchising in development may be changing depending on different unobserved country factors, economic sector characteristics, or development stages.

What are the practical implications of this study for the role of franchising in the development of emerging and developing economies? Because public policy in emerging and developing countries suffers from a lack of financial resources to improve the social, infrastructural and institutional environment, entrepreneurs, such as franchisors who expand into these countries, play an important role for these countries' development. In addition to their entrepreneurial role of exploring and exploiting profit opportunities, they are social, institutional, and political entrepreneurs who may positively influence country development (Schaltegger and Wagner, 2011; Shepard and Patzelt, 2011). Specifically, the findings highlight that countries with an older franchise sector (more years of franchise experience) may realize first-mover advantages and hence larger positive spillover effects on their economic, social, institutional and infrastructural development than countries with a younger franchise sector. Hence, governments of emerging and developing countries have the opportunity and responsibility to reduce potential market entry barriers and provide additional incentives for franchise systems in order to trigger these positive spillover effects. The authors expect that the spillover effects from the franchise sector on the economic, institutional, social and infrastructural development of a country are stronger in emerging and developing countries than in developed countries.

Previous research has focused on the impact of franchising on the economic development of a country, such as its growth of gross domestic product (GDP), employment, business skills, innovation and technology transfer. This study extends the existing literature by going beyond the impact of franchising on economic development: the results show that franchising as an entrepreneurial activity offers opportunities for economic, social, institutional, and infrastructural development, all of which are particularly important for emerging and developing economies. The findings of this study contribute to the international franchise and development economics literature by offering a better understanding of the impact of franchising on country development.

The Sustainable Development Goal (SDG) 16 outlines sustainability as associated with peace, good governance and justice. The perception of international tourists about security measures and risks is a key factor affecting destination choices, tourist flow and overall satisfaction. Thus, we investigate the impact of armed forces personnel, prices, economic stability, financial development and infrastructure on tourism.

This research used data from 130 countries from 1995 to 2019, which were divided into four income groups. This study employs a two-step generalized method of moments (GMM) technique and a novel tourism index comprising five relevant indicators of tourism.

A 1% increase in armed forces personnel expands tourism in all income groups – 0.369% High Income Countries (HICs), 0.348% Upper Middle Income Countries (UMICs), 0.247% Lower Middle Income Countries (LMICs) and 0.139% Low Income Countries (LICs). The size of the tourism-safety coefficient decreases from high to low-income groups. The impact of inflation is significantly negative in all panels, excluding LICs. The reduction in tourism was 0.033% in HICs, 0.049% in UMICs and 0.029% in LMICs for a 1% increase in prices. The increase in the global tourism index is more in LICs (0.055%), followed by LMICs (0.024%), UMICs (0.009%) and HICs (0.004%) for a 1% expansion in the gross domestic product (GDP)/capita growth. However, the magnitude of the growth-led tourism impact is greater in developing countries. A positive impact of foreign direct investment (FDI) inflow was found in all panels like 0.016% in HICs, 0.050% in UMICs and 0.119% in LMICs for a 1% increase in FDI inflow. The rise in the global tourism index is 0.097% (HICs), 0.124% (UMICs) and 0.310% (LMICs) for a 1% rise in the financial development index. The increase in the global tourism index is 0.487% (HICs), 0.420% (UMICs) and 0.136% (LICs) for a 1% rise in the infrastructure index.

Empirical analysis infers important policy implications such as (a) establishment of a peaceful environment via recruitment of security personnel, use of safe city cameras, modern technology and law enforcement; (b) provision of basic facilities to tourists like sanitation, drinking water, electricity, accommodation, quality food, fuel and communication network and (c) price stability through different tools of monetary and fiscal policy.

First, it explains the effect of security personnel on a comprehensive index of tourism instead of a single variable of tourism. Second, it captures the importance of economic stability (i.e., economic growth, financial development and FDI inflow) in the tourism–peace nexus.

China's Belt and Road Initiative (BRI) is the most ambitious investment strategy for infrastructural development belonging to the significant potential for stimulating regional economic growth in Asia, Europe and Africa. This study aims to investigate the impact of infrastructure on spurring inward foreign direct investment (FDI) within the purview of human capital, GDP per capita, foreign aid, trade, domestic investment, population and institutional quality in BRI countries.

In doing so, the authors analyze panel data from 2000 to 2019 within the framework of the system generalized method of movement (GMM) approach for 66 BRI countries from Europe, Asia, Africa and the Middle East.

The investigated results demonstrate that aggregate and disaggregate infrastructure indices, e.g. transport, telecommunications, financial and energy infrastructures, are the driving forces in attracting foreign direct investment (FDI) in the BRI countries. In addition, control variables (i.e. institutional quality, human capital, trade, domestic investment, foreign aid and GDP per capita) play an essential role in spurring FDI inflows.

The authors’ study uniquely investigates both the pre- (2000–2012) and post- (2013–2019) BRI scenarios using the aggregate and disaggregate infrastructural components from the perspectives of full and clustered sample regions, such as Asia, Europe, Africa and the Middle East. The study provides several policy implications.

The brain drain challenge has become a cankerworm confronting not only the public health-care sector in Nigeria but almost all sectors of the national economy. This study aims to explore the push factors responsible for brain drain incidence among the migrated, JAPA, physicians to other global work environments. The study investigates the mediating role of capacity development among migrated, JAPA, physicians between the health-care infrastructural deficit and brain drain syndrome.

This study used a survey cross-sectional research design to examine the 214 migrated physicians in four notable perceived countries (UK, USA, Canada and Australia). The study used a probability sampling strategy to survey a self-administered online research instrument. The study adapted a battery of scales from several authors to measure the relevant constructs of this study. Hierarchical multiple regression was used to examine factors that provoke the incidence of brain drain burden among the JAPA Physicians. While Macro Hayes Process was used to investigate the mediating role of capacity development among migrated physicians.

The study revealed from the “JAPA” physicians that working conditions are turbulent and utterly poor which led to the incidence of brain drain. The study indicated that poor remuneration and benefits are the predominant reason for JAPA physicians to European countries and USA/UK. The findings of the study demonstrated that restricted opportunities and poor standard of living in the country were additional factors responsible for the brain drain of Nigerian physicians to other international countries. The outcome of the study also illustrated that inadequate infrastructure and facilities are the dominant variables that pushed physicians to foreign nations. It was revealed that there is a toxic mix of several issues that led to a brain drain albatross among the migrated physicians from Nigeria. The last part of the study indicated that physicians’ capacity development was a game changer that would discourage brain drain incidence and establish motivation for working in Nigeria's public health-care sector.

The study has given a direction for providing succinct solutions to the cankerworm of brain drain that has depleted the Nigerian public health-care industry. It has proffered a possible trajectory that will reverse the JAPA syndrome among the professional health-care workforce. This will not only benefit the public health-care personnel but also be significant for all the human capital across all the sectors of the national economy of Nigeria.

Mega-infrastructure development plans pave the way for policies to upgrade the infrastructure, environmental management and different aspects of locals’ well-being. These developmental dynamics can positively affect rural tourism including heritage sites destinations. The quality of life of local people can be linked to this positive developmental change through long-term and sustainable economic revitalization projects. In terms of this process, developing large-scale infrastructure and incorporating tourism sustainability can improve the quality of life-related to different dimensions that are critical to the community's well-being. Therefore, researchers have attempted to address this issue.

Data were collected between September and October 2020. The study sample size was the residents of Zhabagly village, including Zhabagaly, Abaiyl and 115 Railway settlements. Moreover, the residents were older than 18 years. A systematic random sampling technique was utilised to reach the targeted sample size and the researchers received 243 responses from the locals. Structural equation modelling (SEM) was used for analysis.

The findings from the structural equation modelling suggest that sustainable tourism increases due to the positive effect of mega-infrastructure development and positively impacts the locals' quality of life. Notably, no direct effect of mega-infrastructure development on quality of life reveals the pivotal role of sustainable tourism. Therefore, during the COVID-19 period, the dimensions of sustainable tourism – economic, market, socio-cultural and environmental – played a role in securing the positive impact of mega-infrastructure development on the locals’ quality of life.

This research highlighted the fact that when infrastructure projects are implemented to their full potential, they will generate sustainable tourism activities, provide eco-adventure activities, relax, treat signatories and boost the economy of all stakeholders. The study used AMOS to test the hypotheses. Qualitative research methods, including interviews with citizens, government officials and tourism managers, require further study.

The infrastructural development on a mega-scale means building an upscaling tourism ecosystem. This ecosystem is marked by the availability of drinking water, waste and energy management facilities that support the elevation of living material, community, health, safety and emotional well-being. It reflects the policy-level implications for future Belt and Road initiatives (BRIs). The tourism industry's resilience during COVID-19 has practical lessons for other industries.

Large-scale infrastructure construction must create favourable conditions for the rapid development of tourism. The availability of clean water, waste and energy management facilities contributes to the food production, social cohesion, physical and mental health and general well-being of the ecosystem. This is one of the few studies that used sustainable tourism as a mediator between the impact of large infrastructure projects and their impact on the quality of life of locals during the COVID-19 pandemic. Aksu-Zhabagly, a World Heritage Site in Kazakhstan, was the site of this field study.

The purposes of the paper are as follows: (1) Analysing the effect of financial inclusion on financial stability. (2) Examining whether financial inclusion non-linearily impacts financial stability. (3) Analysing whether the effect of financial inclusion varies across quantiles of financial stability. (4) Investigating whether dimensions of financial inclusion affect financial stability differently. (5) Examining whether the effect of financial inclusion on financial stability depends on competitiveness of the banking industry.

Using panel data for 19 African countries for the period 2006–2022, we first developed multidimensional index of financial inclusion using two-stage indexing approach. Then employing panel semiparametric regression, we analyse the non-linear nexus between financial stability and financial inclusion. We further employ panel quantile regression to investigate the differential effect of financial inclusion at different quantiles of financial stability. We also employed two-stage least squires, and alternative measurement of financial stability as robustness checks.

Employing panel semiparametric regression, we demonstrate that the financial inclusion-stability nexus exhibits non-linearity: below (above) threshold level financial inclusion promotes (reduces) financial stability. Employing panel quantile regression, we find that the effect of financial inclusion increases at higher quantiles of financial stability. We further demonstrate that the effect of financial inclusion on financial stability is pronounced in a more competitive bank industry. The findings are robust to two-stage least squares estimation, and alternative measurement of financial stability. The results suggest that keeping a balance between achieving stable and inclusive financial system, and ensuring a competitive banking industry are essential to achieve bank soundness while promoting financial inclusion.

The study incrementally contributes to the literature related to the financial inclusion – stability nexus in four-fold. First, unlike studies that relied on some indicators of financial inclusion, we employed the effect of multidimensional financial inclusion on financial stability and further examined whether or not the effect varies across financial inclusion dimensions. Second, unlike studies that assumed a linear nexus between financial inclusion and stability, employing panel semiparametric regression, we investigated for non-linear relationship between the two. Employing a novel panel quantile estimation approach, we further scrutinised whether the effect of financial inclusion varies across quantiles of financial stability. Third, to our knowledge, our study is the first to examine the effect of multidimensional financial inclusion on bank soundness in Africa.

1. We find a non-linear nexus between financial inclusion and financial stability.

2. Financial inclusion below (above) threshold enhances (reduces) financial stability.

3. The effect of financial inclusion is pronounced at higher quantiles of financial stability.

4. The effect of financial inclusion on financial stability depends on bank competition.

5. The results hold across different dimensions of financial inclusion.

We find a non-linear nexus between financial inclusion and financial stability.

Financial inclusion below (above) threshold enhances (reduces) financial stability.

The effect of financial inclusion is pronounced at higher quantiles of financial stability.

The effect of financial inclusion on financial stability depends on bank competition.

The results hold across different dimensions of financial inclusion.

Quite often than not, a new industry can be created, thanks to the countless entrepreneurs and innovative activities across the globe. Smart city (SC) is one such industry and a living lab using the key roles of the digital platform that enable a seamless flow of information and knowledge for innovation within the SC. The purpose of this paper is to illustrate how SC can be a new regional industry engine through an “open collective innovation system” as its new concept. In particular, SC provides efficient transaction costs and knowledge flows. Eventually, SC can be an innovation hub for entrepreneurship through openness.

To frame the research goals, the authors used qualitative research methodologies based on grounded theory. In particular, the author used inductive reasoning to generate arguments and conclusions about the future of an SC as a new growth engine in the era of the fourth industrial revolution. Numerous documents and prior literature were used for the preliminary conceptualization of an SC. Interview data were then coded for reasoning in an open collective innovation system based on “openness”.

SC maximizes efficiency in practicing innovation. In the perspective of innovation costs, SC can minimize transaction costs, specifically the information processing costs, through data openness. In this context, transaction costs can be considered an economic equivalent of friction in a physical system. So, as the friction is low, some movements of an object on the surface are likely to be easy. SC is optimized for innovation activities through an “open collective innovation system”. In terms of innovation networks, an SC results in an innovation efficiency derived from both the network and the spatial agglomerations in physical and cyberspace. The efficiency-based SC itself overlaps knowledge creation, dissemination and absorption, providing an open innovation (OI) ecosystem.

This paper remarkably extends that SC can be an “open collective innovation system model” and a new conceptualization. Eventually, SC will play a crucial role in developing regional industries as a new growth engine. To operate as a new growth engine fully-fledged, the SC is needed to accumulate innovative assets such as the critical mass of residents, numerous firms, etc. However, this study has some limitations. First, difficulties in any analytic approach to SC resulted from their many interdependent facets, such as social, economic, infrastructural and spatial complex systems, which exist in similar but changing forms over a huge range of scales. Also, this research is at a quite an early stage. Thus, its theoretical stability is weak. So, this paper used the qualitative methodology with a grounded theory. Another limitation is in the research methodology. The limitation of using grounded theory adapted by this work is that the results of this study may not be generalizable beyond the context of this study. This non-generalizability occurs because ours is an inductive approach to research, meaning that the findings are based on data collected and analyzed. As such, the results of this study may not be applicable to other contexts or situations. In addition, the analysis of data in the grounded theory is based on researcher’s subjective interpretations. This means that the researcher’s own biases, preferences and assumptions may influence the results of the study. The quality of the data collected is another potential limitation. If the data is incomplete or of poor quality, it can cause researcher’s own subjective interpretations.

Findings of this study have some practical implications for enterprises, practitioners and governors. First, firms should use value networks instead of value chains. Notably, the firms that pursue new products or services or startups that try to find a new venture business should take full advantage of SC. This taking advantage is possible because SC not only adapts state-of-the-art information technology (e.g. sensor devices, open data analytics, IoT and fiber optic networks) but also facilitates knowledge flow (e.g. between universities, research centers, knowledge-based partner firms and public agencies). More importantly, with globalized market competition in recent years, sustainability for firms is a challenging issue. In this respect, managers can take the benefits of SC into consideration for strategic decisions for sustainability. Specifically, industrial practitioners who engage in innovation activities have capabilities of network-related technologies (e.g. data analysis, AI, IoT and sensor networks). By using these technologies in an SC, enterprises can keep existing customers as well as attract potential customers. Lastly, the findings of this study contribute to policy implementation in many aspects. At first, for SC to become a growth engine at regional or natural levels, strong policy implementation is crucial because SC is widely regarded as a means of entrepreneurship and an innovation plaza (Kraus et al., 2015). To facilitate entrepreneurship, maker spaces used for making the prototypes to support entrepreneurial process were setup within universities. The reason for establishing maker spaces in universities is to expand networking between entrepreneurs and experts and lead to innovation through a value network. One of the policy instruments that can be adapted is the “Data Basic Income Scheme” suggested by this research to boost the usage of data, providing content and information for doing business. Also, a governor in SC as an intermediator for the process of the knowledge flow should initiate soft configuration for SC.

This work makes two theoretical contributions to OI aspects: (1) it explores dynamic model archetypes; and (2) it articulates and highlights how SC with digital technology (i.e. in the AI, IoT and big data context) can be used to create collective knowledge flow efficiently. First, the findings of this study shed light on the OI dynamic model. It reveals important archetypes of new sub-clustering creation, namely, a system that underpins the holistic process of innovation by categorization in amongst the participating value network (Aguilar-Gallegos et al., 2015). In innovation studies, scholars have particularly paid attention to a cluster’s evolution model. In the process of innovation, the “open innovation dynamic model” suggested by this study illustrates sub-clustering that happens in value networks by taking the benefits of SC. Eventually, the evolution or development of sub-clusters can bring in a new system, namely, an OI system. Second, the findings of this study contribute to the understanding of the role of digital technologies in promoting knowledge flow. The usage and deployment of digital technologies in SC may enormously and positively influence innovative activities for participants. Furthermore, the rising of digital economy, in the so-called platform business, may occur depending on advanced technologies and OI. In doing so, the findings can further tow innovation research through juxtaposition between SC and innovation research (Mehra et al., 2021).

This paper shows that the function of an SC not only improves the quality of life but also acts as an engine of new industry through an open collective innovation setting using dynamic and ecological models.

This study aims to offer an up-to-date estimate of capital flight from selected emerging Asian economies and examine the anti-growth phenomenon of capital flight by using annual data for the period 1981–2019.

The study relies on residual methods to derive the estimate of capital flight with necessary adjustments. It then applies the autoregressive distributed lag Bounds testing approach in examining the impact of capital flight on the economic growth of Asian emerging economies.

The study identifies capital flight as the attributor to the slower economic growth of the selected emerging economies of Asia.

Apart from appropriate policies addressing the issues causing capital flight, unleashing the way of private sector-led growth of the emerging countries with necessary policy, infrastructural, institutional and regulatory support can rather help them retain and repatriate domestic capital.

The capital flight estimates in earlier studies are antithetical as they differ in terms of definition and estimation procedure. Again, the growth effect of capital flight in these economies has received meager attention in research and policy debates. Furthermore, being country-specific or region-specific, existing studies are unable to compare the growth effect of capital flight for different emerging economies in this region. Examining the growth effects for a large number of countries separately based on a common estimate of capital flight can resolve these issues that this study aims to do.