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The purpose of this paper is to identify cross-country differences in socio-economic sustainability, which are operationalized as relative efficiency of economic and social impacts of hyperconnectivity (usage intensity of information and communication technologies (ICT) devices). The authors have a particular interest in the emerging economies because they enjoy outstanding growth rates and prospects for market expansion, and have undertaken significant economic reforms and, thus, should be expected to lead other two groups in the efficiency of transforming hyperconnectivity into sustainable growth.

The authors use canonical correlation analysis (CCA) to confirm the existence of a strong and significant relationship between hyperconnectivity drivers and socio-economic outcomes on a country level. The authors test the difference in efficiency of transforming hyperconnectivity into socio-economic sustainability among three groups of countries: advanced, emerging and developing nations using data envelopment analysis (DEA).

The findings indicate that indeed emerging economies were the most effective ones to use infrastructure and digital content followed by developing and advanced countries, respectively. However, relatively better affordability of technologies in the emerging countries did not produce as much socio-economic impact as compared with developing nations. Favorable legislative conditions and high individual ICT usage in advanced economies did not contribute much to socio-economic sustainability either.

One of the limitations of this study stems from the classification of the countries. World Economy Forum and International Monetary Fund resources are utilized for the economy categories, but their basis for classification of counties is rather subjective. Lack of existing comparative efficiency studies on a country level prevents effective benchmarking of the results.

Since the key vehicles of transforming technology into socio-economic impact are organizations, they should design and implement an appropriate organizational architecture which would facilitate this transformation in the emerging markets more effectively.

In a climate of increasing public accountability, governments have been increasingly urged to introduce good administrative practices and performance standards to enable efficient utilization of their resources and enhance social implications within and across countries.

Although the impact of ICT on macro-economic development has been previously studied, the efficiency of this impact was not. Using CCA as a complementary tool for DEA approach in this study constitutes a methodological contribution to existing DEA research, mostly done in the area of operations management. Using DEA on a country level is a novel approach which contributes to the realm of application of this methodology.

The purpose of this paper is to identify the impact indicators of the 2010 Taipei International Flora Exposition from the perspective of residents and to investigate the effects of these impacts on the urban sustainability through the perceptions of Taipei residents after the exposition.

The authors conducted a literature review and consulted experts to identify the impact indicators of the exposition. This process resulted in 17 indicators of economic impact, 12 indicators of environmental impact, and 13 indicators of social impact, and the authors developed a 12-dimension/42-indicator mega-event impact measurement scale. Using a survey of 1,628 host residents after the exposition, the authors performed regression analysis to investigate the effects of these impacts on the urban sustainability.

The results indicated that economic, environmental, and social impacts exerted significant positive effects on urban sustainability. All positive dimensions of economic, environmental, and social impact exerted significant positive effects on urban sustainability, and all negative dimensions exerted nonsignificant effects on urban sustainability.

This study identified the impact indicators of the 2010 Taipei International Flora Exposition and investigated the effects of these impacts on the urban sustainability. The findings of this study indicated that economic, environmental, and social impacts of the exposition exerted significant positive effects on urban sustainability.

The purpose of this paper is to assess the severity of social and economic impact of floods on the communities and industries with respect to their reliance on the flood impacted critical infrastructure. This paper illustrates a severity assessment tool to determine the reduced serviceability level of critical infrastructure after a disaster, how the change in serviceability impacts activities of associated communities and industries, and the resulting social and economic impact.

The results presented in this paper are a part of a larger research designed to develop a decision support system for disaster impact mitigation. This research evaluated the impact of floods as a natural hazard on infrastructure and the related industries and communities in terms of criticality and vulnerability of infrastructure and the severity of social and economic impact if the critical infrastructure were to be affected. The overall research focused on the 2008 Midwest floods for the required data collection (including the cities of Cedar Rapids, Iowa, Terre Haute, Indiana, St Louis, Missouri, Gulfport and Des Plaines, Illinois). Relevant data were collected through questionnaire surveys, personal interviews, and site visits.

The data collected through this research highlighted the importance of relationship between infrastructure, communities and industries with respect to technical, social and economic aspects. While the overall research resulted in a Decision Support System with three modules, to assess criticality, vulnerability and severity, this paper only elaborates the Severity Assessment Tool (SAT). Serviceability of an infrastructure plays an important role in post disaster recovery and response. Reduction in the serviceability of an infrastructure also affects the functionality of the activities that depend on the affected infrastructure resulting in social and economic impact. The tool presented in this paper determines the severity of social and economic impact by evaluating the reduction in the functionality of the affected activities.

The model (SAT) presented in this paper determines the social and economic impact on communities and industries due to natural disaster when the serviceability of disaster impacted critical infrastructure is impaired. This tool can be effectively used by city managers as well as emergency planners for industries and communities in developing mitigation strategies based on the severity of social and economic impact due to the affected critical infrastructure. The results would also help the decision makers in arriving at more effective investment decisions to repair/rehabilitate certain critical infrastructure.

Input‐output modeling can accurately forecast the benefits associated with corporate real estate projects. This paper aims to address the economic and employment impact analysis practices used in input‐output modeling and identifies resources for corporate real estate executives when working with community groups and public officials. By understanding this topic, corporate real estate executives can more effectively demonstrate the value of corporate activities to a community. An impact analysis case study is presented that includes an example of economic impact report content. Input‐output modeling is an effective analytical tool for corporate real estate site selection, facilities expansion, and other community relations projects. This study addresses the major issues in corporate/community relationships and focuses on the corporate need to demonstrate project contributions to community economic vitality. As political, special interest, and public views about business expansion and development harden, corporate real estate executives and specialists need to utilize effective tools to balance the debate.

This study presents a review of input‐output economic modeling techniques, application of the model, key terms, a case study of a $2.1 billion expansion project, and a sample outline of an impact analysis report. This approach provides a good conceptual framework, terms, and the application of an economic and employment impact approach to measuring the total contribution of corporate real estate activities in a community or region.

Demonstrates methods measuring economic and employment multipliers resulting from direct, indirect, and induced corporate project impacts. The findings will assist professionals responsible for corporate/community relations by enhancing their understanding of economic impacts.

This paper presents an overview of an effective modeling technique that can be used to accurately estimate the community economic and employment contributions resulting from a new corporate real estate project. Emerging corporate/community relations issues are discussed and resources are identified.

This paper critically reviews economic impact assessment methods adopted in construction-related projects, to develop and present a novel bottom-up approach suitable to estimate regional economic impacts of building maintenance projects.

A thorough literature review of economic impact assessment in construction projects is carried out to identify the most relevant approach to estimate wider economic impacts of building maintenance projects. Based on these findings, a model based on the bottom-up approach to estimate wider economic impacts is developed. The applicability and face validity of the developed model is demonstrated through a case of cladding replacement program in Australia.

The literature review revealed that bottom-up models are better suited for estimating regional economic impacts of maintenance projects, given the challenges of obtaining micro-level economic data in the maintenance sector. In relation to the total economic impacts (direct and indirect), the results show that for every $1 of government spending on similar projects the Gross State Product would increase by $1.34. In terms of employment impact, over 70% of the direct economic value addition is driven by the increase in labour, where close to 3 FTE jobs will be required for each $1 million of spending on cladding replacement projects.

This paper presents a model to estimate the wider economic impacts of building maintenance projects, which is typically overlooked in the construction management field. The proposed model is developed to incorporate the variability of different building maintenance projects so that the economic impact resulting from these projects could be estimated more accurately. This model can be used by local government decision-makers to justify and prioritise maintenance projects in a similar manner to new construction projects.

This paper attempts to investigate through empirical exercise how the chances of female employment opportunities rise in a developing country like India, against the backdrop of changes in institutions that are associated with globalization.

The paper develops a simultaneous equation model through a growth equation, gender equation and globalization equation to identify the factors impacting female labor market opportunities in India, based on annual time series data 1991–2019.

The major results of this study are as follows: (1) It is social globalization that positively impacts gender equality in employment opportunities apart from economic growth and trade diversification; (2) Evidence of “feminization of labor force” in the context of trade diversification is found; and (3) Equal gender opportunities reflect in equalizing outcomes in the labor market.

Growth strategies need to be constructed in such a way in India that it has redistributive implications and benefits women. The state agency needs to optimize the productive base of human resources and increase women's empowering capability through social and legal sanctions.

The uniqueness of the present paper lies in contributing to the existing literature on how gender inequality impacts trade diversification and how trade diversification impacts gender.

Community impacts resulting from corporate facility new development, expansion, renovation, merger, consolidation, closure and disposition activities are under greater scrutiny by public officials, citizen, and special interest groups. The paper reports public sector views on municipal structure, most desired industries, community advantages, use of cost benefit studies and the methods used to evaluate development impacts.

The research presented is based on a national survey of US economic development officials and their methods for measuring project impacts and determining public costs and benefits associated with economic development projects.

The research found that the public sector emphasized community advantages that were abstract and hard to measure in response to the corporate need for hard data on facility and development costs. About 30 percent of the public administrators surveyed never or rarely used any measures to determine community impacts associated with facility development. The most common impact measures used were individual experience, public meetings, tax impacts, amount of private investment, and local planning goals. Infrastructure costs, environmental quality issues, traffic and public services were the most important cost areas.

Every corporate real estate project has unique characteristics and accordingly, community impacts vary. This research presents an overview of the analysis methods used or not used by public development officials. The corporate decision maker must learn to recognize needs and opportunities for additional data collection that will make a case for facility project support.

Understanding the public sector impact analysis perspective is important because it enables corporate real estate decision makers to understand key issues, frame and present projects to citizens, identify research gaps and negotiate greater subsidies, and fair terms in development and performance agreements.

Surprisingly, very little research exists in this area. The survey data indicate limited use of impact measures and methods. Future research into this area should investigate why impact analysis measures are not extensively used and how standard measures could be used to evaluate social, environmental and economic impacts.

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 study aims to use university patent and regional economic data to investigate the current and future impact of university innovation, measured using multiple variables, on real economic productivity.

Using university patent and regional economic data, regression models are built to determine the impact of university innovation on current and future regional economic performance.

The findings demonstrate that university innovation generates sustained impact on economic performance, but by itself, is insufficient in driving economic performance; and different measures of university innovation have different degrees of impact. University innovation makes up a small, albeit significant, proportion of the drivers of economic performance.

There are four implications. First, developing countries can leverage university–industry collaborations for economic growth. Second, innovation management must encourage continuous university innovation for sustainable economic productivity. Third, Science, Technology, Engineering and Mathematics (STEM) and non-STEM innovation warrant attention. Fourth, successful innovation policies should be tailored to their unique societal contexts.

Although innovation is a driver of economic performance, there is a lack of studies that focus specifically on universities, operationalize performance using gross domestic product measures and take into account impact lags by exploring universities’ current and future impacts.

This study estimates the economic impacts of the Texas wine and wine grape industry on the Texas economy by marketing channel. Survey data from the state's vineyards and wineries for 1996 is used to construct an input‐output model of the Texas economy and an industry impact framework using IMPLAN. Results show that the total core economic impacts of the Texas wine and wine grape industry were $85.8 million in output impacts, 1,157 jobs, $29.6 million in income impacts, and $46.6 million in total value added impacts in 1996. Much of these core economic impacts were attributable to the retail and restaurant marketing channels.