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“It should also be noted that the objective of convergence and equal distribution, including across under-performing areas, can hinder efforts to generate growth. Contrariwise, the objective of competitiveness can exacerbate regional and social inequalities, by targeting efforts on zones of excellence where projects achieve greater returns (dynamic major cities, higher levels of general education, the most advanced projects, infrastructures with the heaviest traffic, and so on). If cohesion policy and the Lisbon Strategy come into conflict, it must be borne in mind that the former, for the moment, is founded on a rather more solid legal foundation than the latter” European Commission (2005, p. 9)Adaptation of Cohesion Policy to the Enlarged Europe and the Lisbon and Gothenburg Objectives.

Aim of the present monograph is the economic analysis of the role of MNEs regarding globalisation and digital economy and in parallel there is a reference and examination of some legal aspects concerning MNEs, cyberspace and e‐commerce as the means of expression of the digital economy. The whole effort of the author is focused on the examination of various aspects of MNEs and their impact upon globalisation and vice versa and how and if we are moving towards a global digital economy.

This chapter focuses on the application of segment reporting under IFRS 8 in the context of the airline industry. It analyses the airlines’ disclosures related to segment reporting considering 11 aspects of segment reporting in the regional and global context. Observations reveal that reporting of segmental disclosures in the airline industry is diverse at different levels. In this regard, the following conclusions were drawn: (1) the nature of segments reported by the airlines is diverse due to methods adopted in preparation of operating segments; (2) factors such as internal reporting system, and nature of business used to identify the airline’s reportable segments were stated by most airlines; (3) types of products and services from which each reportable segment derives its revenues were stated by all airlines; (4) proportion of total revenues represented by separately reportable segments exceeds 75% of the revenue rule of IFRS 8; (5) most segmental performance measures are non-IFRS and diverse; (6) a limited number of airlines use dual reporting currency in segment reporting; (7) most airlines reported segment assets and liabilities for each reportable segment; (8) most airlines reported between 6 and 10 income and expense items in segment reporting; (9) segmental cash flow information is reported by one airline; (10) in terms of entity-wide disclosures, most airlines reported their revenue from major products and services in the revenue disclosures, most airlines reported their revenues on a geographical basis but few airlines reported their non-current assets on a geographical basis; and (11) more than half of the airlines did not declare the identity of the Chief Operating Decision Maker.

In this paper, price and promotional selling variations for non‐durable goods in Spain are tested. An overview of price discrimination and promotional strategies for non‐durable goods is offered. In this study, the objective is to analyse how prices and promotional sales of different product categories vary between different geographical areas within Spain. An idea of the implementation of geographical price strategies and the application of micro‐marketing in frequent purchase product categories is also offered. The results of the multivariate analysis of the variance indicated that there were no significant differences in mean prices between the areas tested. However, significant differences did exist between promotional selling and promotional selling percentage using only price discounts.

A wide number of technologies are currently in store to harness the challenges posed by pandemic situations. As such diseases transmit by way of person-to-person contact or by any other means, the World Health Organization had recommended location tracking and tracing of people either infected or contacted with the patients as one of the standard operating procedures and has also outlined protocols for incident management. Government agencies use different inputs such as smartphone signals and details from the respondent to prepare the travel log of patients. Each and every event of their trace such as stay points, revisit locations and meeting points is important. More trained staffs and tools are required under the traditional system of contact tracing. At the time of the spiralling patient count, the time-bound tracing of primary and secondary contacts may not be possible, and there are chances of human errors as well. In this context, the purpose of this paper is to propose an algorithm called SemTraClus-Tracer, an efficient approach for computing the movement of individuals and analysing the possibility of pandemic spread and vulnerability of the locations.

Pandemic situations push the world into existential crises. In this context, this paper proposes an algorithm called SemTraClus-Tracer, an efficient approach for computing the movement of individuals and analysing the possibility of pandemic spread and vulnerability of the locations. By exploring the daily mobility and activities of the general public, the system identifies multiple levels of contacts with respect to an infected person and extracts semantic information by considering vital factors that can induce virus spread. It grades different geographic locations according to a measure called weightage of participation so that vulnerable locations can be easily identified. This paper gives directions on the advantages of using spatio-temporal aggregate queries for extracting general characteristics of social mobility. The system also facilitates room for the generation of various information by combing through the medical reports of the patients.

It is identified that context of movement is important; hence, the existing SemTraClus algorithm is modified by accounting for four important factors such as stay point, contact presence, stay time of primary contacts and waypoint severity. The priority level can be reconfigured according to the interest of authority. This approach reduces the overwhelming task of contact tracing. Different functionalities provided by the system are also explained. As the real data set is not available, experiments are conducted with similar data and results are shown for different types of journeys in different geographical locations. The proposed method efficiently handles computational movement and activity analysis by incorporating various relevant semantics of trajectories. The incorporation of cluster-based aggregate queries in the model do away with the computational headache of processing the entire mobility data.

As the trajectory of patients is not available, the authors have used the standard data sets for experimentation, which serve the purpose.

This paper proposes a framework infrastructure that allows the emergency response team to grab multiple information based on the tracked mobility details of a patient and facilitates room for various activities for the mitigation of pandemics such as the prediction of hotspots, identification of stay locations and suggestion of possible locations of primary and secondary contacts, creation of clusters of hotspots and identification of nearby medical assistance. The system provides an efficient way of activity analysis by computing the mobility of people and identifying features of geographical locations where people travelled. While formulating the framework, the authors have reviewed many different implementation plans and protocols and arrived at the conclusion that the core strategy followed is more or less the same. For the sake of a reference model, the Indian scenario is adopted for defining the concepts.

Theory and empirical research show how building cycles’ behaviour has substantial differences within countries among its different geographical areas. There is evidence of the existence of specific area leadership regarding development activity and how this influence is transmitted to the rest of the country as a locomotive effect in residential construction. This means that the aggregate building cycle could strongly depend on cycles in specific areas. This paper follows this approach and investigates the relationship between geographic areas’ intensity in housing construction, showing how activity development in some of these areas is influencing the rest of the country. This process is analysed in Spain during the 1990s, using information on house licenses of construction given by regional areas and applying cointegration methodology to identify leading areas in building activity. Some leadership effect is found in the Levante area attracting building activity from the rest of the country during this period.

The purpose of this paper is to present the organoleptic characteristics of cherry tomatoes from three different geographical areas, and to compare the differences/similarities of Slovenian tomatoes which are cultivated by utilising an innovative technology and have altered organoleptic characteristics, with other cherry tomatoes that are available on the Slovenian market and are of different geographical origin (Dutch and Spanish tomatoes). In an experimental study the authors determined the impact of price and organoleptic characteristics as a whole on the choice of tomatoes by young consumers.

This experimental study is based on a sample of 27 young consumers, and it examines three hypotheses using three different quantitative methods: one-way ANOVA, χ2 and logistic regression.

The authors found that there were statistically significant differences between the perceived organoleptic characteristics of tomatoes grown in three different geographic areas. Young consumers assessed the organoleptic characteristics of the Slovenian tomatoes as the best, followed by the Dutch and Spanish tomatoes. The authors have found that there are statistically significant correlations between the organoleptic characteristics and the price, except for the firmness of tomatoes, which does not significantly affect the price. This cannot be said with regard to price, since there is no statistically significant relationship between this variable and the choice of tomatoes.

The scientific contribution of this study is reflected in the evaluation and comparison of tomatoes from three different geographical regions, and in linking the perceived organoleptic characteristics of tomatoes with the price, and the final selection of tomatoes by the young consumers.

By building on cooperation–competition theory, this study aims to investigate the multidimensional flipped effects of neighborhood hotels on Airbnb listings’ popularity, examining the degree to which such impacts are influenced by hotel types and geographical areas.

This study explores the interdependent and competitive relationship between neighborhood hotels and Airbnb from the perspective of effects on Airbnb listings’ popularity by exploring a data set covering 10,492 Airbnb listings and 2,691 hotels from Ctrip.

Results reveal that neighborhood hotels’ number of reviews, review ratings and prices each have positive spillover effects on Airbnb listings’ popularity, while quality assurance labels and negative review topic sentiments exert competitive effects on Airbnb popularity. Moreover, the number of budget chain hotels and high-star hotels have positive and negative effects on Airbnb popularity, respectively. Geographical areas also have a moderating effect on the relationship between various hotel-related influencing factors and Airbnb.

This study can offer hotel managers and Airbnb operators a clearer understanding of these businesses’ coexisting relationship. Findings can also provide Airbnb-specific guidelines for practitioners in terms of site selection, promotional features and development strategies for Airbnb listings.

This study establishes a cooperation–competition relationship model between hotels and Airbnb and considers the flipped effects of hotels on Airbnb for the first time. It expands previous studies by considering the multidimensional effects of hotels on Airbnb listings’ popularity and by examining the influences of hotel types and geographical areas on hotels’ impacts on Airbnb.

Geographic diversification results in the improvement of firm value through an increase in scale and scope of economies, gains in synergy, reduction in cost and improved corporate governance, however, the capabilities of financial institutions get heavily affected due to information asymmetries, varied macro and microeconomic factors across economies. In this context, the purpose of this paper is to empirically analyze the impact of geographical diversification on the performance of Indian Banks.

For an unbalanced panel data set of Indian Banks over the period 2001–2016, fixed effect model (FEM) with a distributed lag is used and tested for firm and time fixed effects. Further, the study also examines the role of bank size and ownership on the above association.

Findings of the study suggests that geographical diversification helps in increasing bank returns for the overall sample but does not have any significant impact on bank risk. For foreign and public banks, geographical diversification helps in increasing bank returns but does not have any significant impact on bank risk. This indicates toward the adverse selection, poor monitoring incentives in new markets and suggesting a lack of managerial skills.

The study indicates that while formulating the policies regarding branching and expansion these findings can serve as a guiding tool for managers and regulators. Findings have important implications for financial institution and policymakers in globalized financial markets.

It was hypothesised that there were variations in health and social care services available for older people with dementia and their carers, and that measurement of this between localities was possible. The purpose of this paper is to present a framework for examining this.

Using a case study approach, data from national surveys of local authorities providing social care and National Health Services Trusts providing old age mental health services conducted in 2014/2015 in England were used. From these, indicators of variation in services for people with dementia and their carers in different geographical areas were created. Measurement of the presence/absence of each service permitted the creation of a service mix score for each area.

The framework comprised 16 attributes each with indicators describing the characteristics of the organisations providing the services; the skill mix of community mental health teams for older people; and the health care and social care services available in localities. Variation was evident, confirmed by quartile analysis and exemplars, suggesting that older people with dementia and their carers in different localities are likely to experience differences in the range of provision available, particularly social care services.

The case study approach used achieved its objectives, and the resultant framework has potential for generalisability and utility, given acceptable ecological validity and discriminant validity in identifying variations in service mix. It could be used in both research and practice.