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The transition in the Nigerian financial environment can be directly linked to digitalization as banks are racing to digital complexity. Historically in Nigeria, the utilization of digital operations by financial institutions is to reduce the burden of long queues in the banking hall and the pressure of carrying cash all the time. The goal of financial technology was to enable bank customers to use digitalized banking services. Hence, the purpose of this paper is to establish an empirical analysis evaluating the effect of service digitalization (internet banking, mobile banking, and automated teller machine) on bank competitiveness. Survey data were collected from 118 banks employees and hypothesized relationships were assessed through SMART-PLS structural equation modeling tool version 3.3.3. The study found a positive and significant impact of internet banking and automated machines on bank competitiveness. The findings also revealed that mobile banking has an insignificant effect on bank competition, although the outcome was positive. Overall, both the regulators and bankers should formulate and integrate their digitalized banking system by focusing on the attributes that are required for effective and safe digital-based banking.

Entrepreneurship education is observed as expanding in both academic and informal settings. Drawing on the Business Schools paradigm, relevant courses deliver contiguous knowledge and competencies applicable to new business creation based on cognitive and experiential instruction. Germane studies explore the entrepreneurial intention of trainees as a consequence of the pursued instruction. This chapter follows a more student-centric perspective which supposes the underlying cognitive schemes of trainees and their evolution as primordial structures that are affected through learning. This focus turns the approach into pure constructivism where the Piagetian concepts of assimilation and accommodation underpin learning. Based on a coherent constructivist online environment, that is the TeleCC platform in Greece, evidence for reflection, critical thinking and meta-learning incidents is investigated amongst the trainees’ dialogues and comments. The appearance of these processes verifies the dynamics of constructivist learning and Piaget’s equilibration process. There has been minimal attention in research so far into genuine constructivist signatures relevant to entrepreneurial learning; a gap that motivated the research of this chapter. The features of the learning environment and the facilitating role for the educator are crucial presuppositions for deep constructivist learning processes to occur. Else, instructional interventions favour the customary guidance and knowledge or experience transfer. It is maintained that the constructivist approach is an underdeveloped yet innovative perspective for educational research in entrepreneurship that needs good examples and contextualisation of relevant concepts and processes. Its contribution will be especially important and inclusive for the lifelong learning domain where adult learners participate in with repositories of personal life experiences and crystallised and resistant conceptualisations for the phenomena under consideration.

The first aim of the chapter is to offer a characterization of back-reshoring as a possible step of the firm’s nonlinear internationalization process. The second aim is to review the empirical literature on back-reshoring and to complement it with the findings of an extensive data collection.

In this chapter we adopted an explorative approach building on both theoretical and empirical literature from the fields of international business and international operations Management. We also collected secondary data on back-reshoring decisions in order to define the magnitude of the investigated phenomenon and to offer a primary characterization.

Our findings confirm that, though it cannot be considered a generalized trend, back-reshoring is a very topical issue for international business scholars. It represents an autonomous phenomenon consistent with the idea of nonlinear internationalization process.

The chapter is based on cross-sectional data. Longitudinal research is required in order to address the proposed research questions and help understanding “how much” and what kind of manufacturing will be housed in western countries in the near future.

This is the first attempt to conceptualize back-reshoring as a possible step of the firms’ internationalization process. It is also the first chapter that summarizes and discusses the literature and empirical evidence on back-reshoring emerging from a wide range of countries.

Contemporary societies face serious environmental and social challenges that require decisive action. In the 1970s, Environmental Education (EE) was conceived as an important method for raising awareness and bringing about the needed changes in social practices that can lead to environmental protection and more recently sustainable development (transforming EE to Education for Sustainability (EfS)). Since then, many EE/EfS programmes have been implemented and some change has been observed despite the persisting problems. EE/EfS – especially when aiming to change behaviours – has been akin to critical pedagogy which aims to prepare independent and critical thinkers and empowered citizens that can effectively address social problems. What pedagogical approaches and educational methods are more effective in bringing about changes in attitudes and social practices? What instructional design and practices facilitate this transformation? What are the challenges? These are questions that have troubled environmental educators and are worth reflecting on in the present context of knowledge societies and Higher Education that is significantly impacted by a neoliberal ideology.

This chapter aims to contribute to the ongoing discussions around these questions, via a dialogue between theory and practice. A discussion of critical theory and pedagogy and of EE/EfS is counterposed with theoretical reflections and insights from the author's more than three decades of teaching experience (primarily in Greece). A discussion of the instructor's key pedagogical influences and the evolution of her (my) instructional practices follows, with the aim to identify instructional practices that have a transformative potential, within the context of the challenges and the facilitating parameters of contemporary societies and educational contexts. The instructor's self-reflections and students' qualitative comments are used in a variety of research methods: a self-study research approach drawing on the author's self-reflections as instructor and an analysis of students' qualitative comments in course evaluations and other informal evaluative situations.

Purpose: The present study investigates how the performance of Greek bank branching varies when the external environment causes dramatic changes that are reflected in recession and capital control effects.

Design/Methodology: A unique dataset of accounting Profit and Loss statements of retail branches of a systemic Greek commercial bank, closely supervised by the European Central Bank (ECB), is utilized. A profit bootstrap Data Envelopment Analysis (DEA) model is selected to measure the bank branch efficiency. The derived efficiency estimates are analyzed through a second-stage panel data regression analysis against a set of efficiency drivers related to branch profitability, diversification of income, branch size, and branch activity.

Findings: The results indicate that recession negatively affects branch efficiency in the short and long run. The occurrence of recession significantly intensifies the efficiency premium of branch profitability, reduces the efficiency premium of diversification of income (i.e., a negative efficiency effect is recorded during the early recession period), while mitigating the generally negative efficiency effect of branch size. The analysis of efficiency effects from the deep recession period that encompasses capital controls reveals the importance of diversification of income for the improvement of profit efficiency at bank branch level.

Originality/Value: This is the first branch banking study that explores branch efficiency alteration and the dynamic of branch efficiency drivers when the economy suddenly enters recession and afterwards when conditions are becoming extremely difficult and consequently capital controls are imposed on the economy.

Purpose: This chapter aims to analyse and highlight the current landscape of performance management (PM) systems, and the benefits of integrating modern technology such as smart analytics (SA) and artificial intelligence (AI) into PM systems. The chapter discusses the application of AI in PM tasks which successively simplify many offline PM tasks.

Methodology: To carry out this analysis, a systematic literature review was performed. The review covers literature detailing PM components as well as research concerned with the integration of SA and AI into PM systems.

Findings: This study uncovers the merits of using SA and AI in PM. SA technology provides organisations with a clear direction for improvement, rather than simply state failure in performance. AI can be used to automate redundant tasks while retaining the human element of decision-making. AI also helps reduce the time required to take action on feedback.

Significance: The findings of this research provide insights into the use of SA and AI to make PM tasks fast, scalable, and error-free.

This study attempts to analyze energy intensity, capacity utilization (CU), output and productivity growth of aggregate manufacturing sector in India during the period 1980–1981 to 2016–2017. A decadal analysis as well as a comparison between pre- and post-liberalization period of productivity growth is also made. Total factor productivity growth (TFPG) is also adjusted with CU to obtain adjusted TFPG. The trend in energy intensity is also analyzed to answer the question of sustainability. Results shows that TFPG declined in the post-reform period, highlighting the fact that liberalization process has its adverse impact on productivity growth. From the study it is observed that a declining trend in adjusted TFPG in the post-reform period, but the rate of decline is higher. Energy intensity and CU of the Indian manufacturing industries is found to be increasing over the study period. Increasing energy intensity, quite significantly, would increase the level of pollution generated by the manufacturing industries. So, interestingly enough, this may lead to conclude that the growth of the manufacturing industries is not in line with the basic essence of sustainable development.

Geotechnologies have a long tradition in several areas of society and research. The recent development of the ‘Internet of Everything’ (IoE) and Geographic Information Systems (GIS) technologies opened several doors to the contribution of tourism. Emergent technologies contributions to tourism and planning such as web mapping, augmented reality (AR), crowdsourcing and crowdsensing are relatively recent, and there is a lack of research around their potential for Creative Tourism enhancement. For example, combining web mapping with AR or storytelling can be an excellent contribution to operators, planners and tourists. For research purposes, new opportunities are open, particularly by integrating community-shared data. It is well known for the popularity of social networks, the exponential growth of photo sharing, but few studies have been implemented to understand their contribution to research. This chapter focuses on emerging geotechnologies concerning cultural mapping, Creative Tourism and sustainability. Since it is a new growing niche, more research is needed to develop and understand the potential of new approaches. Besides traditional techniques such as quantitative (e.g. surveys) and qualitative ones (e.g. interviews, focus groups and world café), it revises the role of geotechnologies on Creative Tourism development and growing activities. Results from case studies from Europe are analysed.

This chapter discusses the application of fuzzy cognitive map (FCM) modelling to construction management (CM) challenges and problems. It focuses on the critical issue of managing the complexity and uncertainty inherent in CM by providing a new intelligent layer that enhances classical approaches to construction modelling and management. It investigates how the myriad types of internal and external factors affecting the feasibility and performance of construction projects can be modelled using a fuzzy hybrid method that explores the complex relationships among many contributing factors and assesses and evaluates their impacts on past and future projects. This chapter proposes a hybrid modelling approach in the traditional context of cost, schedule and risk management and describes how augmenting and enhancing existing state-of-the-art tools and processes in CM can assist construction managers. This chapter provides a background on the theory of FCMs, presents foundational and current research, and explains how to apply this approach in the CM domain. This chapter also provides a detailed description of how to develop, modify and employ interactive models to specific CM challenges and problems. It includes a customisable, interactive base model and demonstrates how the model has been applied to specific CM events and issues. Examples are presented that highlight the interplay between project-specific goals and characteristics and the way these impact the interrelated and often opposing triad of cost, schedule and risk. The presented examples and practical applications make this state-of-the-art approach useful to both academic and industry practitioners.

The conceptualization of smart emerged by technological advancements penetrated the tourism industry with the pace of globalization transformed the destinations providing digitalized products. Even though smart tourism destinations are initiated by advanced technologies, the notion evolved in embracing Sustainable Development Goals (SDGs) project economic, social, and environmental proliferation. A tourism destination is counted as “smart” which provides advanced technologies to improve the quality of tourists' experiences and enhance the residents' quality of life. The structure of a smart tourism destination is established on four basic pillars that cover technology, innovation, accessibility, and sustainability issues. Designating the notion of smart into tourism destinations is extremely vital since the shifting paradigm of tourists’ demands concern sustainability. The development of smart in a tourism destination is a crucial concern for destination management organizations (DMOs) integrating key destination components with the dimensions of a smart city to enhance the tourists' satisfaction and competitiveness of the destination. Therefore, one aim of this chapter is to elucidate the association between key destination components with the dimensions of a smart city to reveal the related smart tourism destination applications. Moreover, cultural heritage in smart tourism destinations forms an important part of tourism both with its tangible and intangible resources which have been involved in the emergent era of digitalization inevitably with all parties and processes. Hence, another aim of this chapter is to examine the dimensional shift in cultural heritage tourism within the framework of digitalization. Sharing cases of digitization of cultural heritage from different parts of the world, this chapter also reflects that it is inevitable to benefit from digitization and ICTs in order to reach the SDGs on the scale of smart tourism destinations. Analysis of academic publications and the national and international reports of the related authorities sums the methodology used to conclude the study with suggestions of future research paths to develop the field.