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A conceptual framework for collaboratively based integrated health and social care (IHSC) integration is proposed to aid in understanding how to accomplish IHSC.

This model is based on extant literature of successfully IHSC initiatives.

The model aims to identify enabling integration factors that support collaborative integration efforts between healthcare and social services organizations. These factors include shared goals and vision, culture, leadership, team-based care, information sharing and communications, performance measurement and accountability agreements, and dedicated resources and financing. It also identifies factors that act as external influencers that can support or hinder integration efforts among collaborating organizations. These factors are geographic setting, funding models, governance structures, and public policies. These factors are intended to ensure that a realist lens is applied when trying to understand and explain IHSC.

This model is intended to provide a framework to support research, policy and implementation efforts.

The purpose of this paper is to develop a model to predict the antecedents of the integration level among marketing, logistics and production, considering the influence of formal and informal factors that generate integration and the existence of conflicts.

A survey of 179 participants from all regions of Brazil was conducted. A parsimonious model including four dimensions and 34 variables was developed through confirmatory factor analysis and structural equation modeling.

The field data corroborate studies dealing with the impact of various formal and informal integration factors on the cross-functional integration level as a construct. Furthermore, this paper concludes that the level of cross-functional can be defined as: the intensity of the relationship among internal functions which can be measured by the mutual existence of formal and informal factors and the absence of manifest conflicts.

The findings of this paper cannot be generalized because of the convenience sampling. Future research could apply a probabilistic sampling and try to explore other geographical settings in both national and international contexts.

The proposed model can generate important information for managers by pointing out variables that can predict the integration level and their impacts on the organizational performance. The paper concludes with examples about how the model could be useful in several practical situations.

This paper proposes a model with reasonable accuracy to predict the integration level and overcomes prior research limitations with respect to models to predict the antecedents of the integration level, particularly the role of conflicts in the integration processes.

The purpose of this paper is to characterize the cross-functional integration processes between marketing and logistics, while considering five basic elements: boundary spanning activities, integration factors, level of integration, formality/informality and impacts of integration.

After an extensive literature review, five case studies were performed and in-depth interviews conducted. Both within-case and cross-case analysis was performed to better understand the cross-functional integration processes between marketing and logistics.

A characterization of cross-functional integration in the form of a managerial framework was proposed. This framework presents the elements in a process view, instead of disconnected parts of the integration processes. The framework and process perspective helps to explain the integration process, the roles and impacts of integration within organizations, while considering cultural formality and informality.

Qualitative data collection and analysis methods cannot achieve amplitude with respect to sampling nor generalize results. In spite of this, the implications revealed by the propositions may be applied not only to Brazilian companies, but organizations in other countries as well, due to the high level of heterogeneity of the sample, and the fact that they represent multinational organizations. Therefore, further research using broad-based survey data could test the correlations between the elements of cross-functional integration processes.

The identification of the cross-functional integration processes within organizations can help managers to facilitate the efforts of integration between marketing and logistics, reducing conflicts and improving business performance.

Case studies focussing specifically on five Brazilian organizations help provide evidence for an initial definition of cross-functional integration processes by analyzing five key elements according to their characteristics and respective roles. This research provides a strong foundation for future broad-based survey research.

The purpose of this study is to investigate how cross-functional integration supports the execution of the demand-side processes and its effects on both the demand and supply-side processes.

A case study was conducted including a Brazilian multinational manufacturer in the automobile industry and some of its suppliers and dealers. 17 interviews were conducted. A theoretical framework is proposed containing five basic elements, they are: characteristics of the demand/supply processes; involved functions; integration factors; context influencers and impacts of integration on demand and supply processes.

The findings present three demand-side processes (Product Launch, Marketing and Sales and Demand Planning) that demonstrated a greater need for cross-functional integration in the studied case, mainly through informal integration factors.

The empirical results of this study have methodological limitations due to the use of the case study method. Future research should analyze the effects of other context influencers (e.g. natural catastrophes, civil wars and low level of unemployment) on cross-functional integration.

The results highlight that joint planning, willingness to work together, team spirit, adequate communication and cross-functional meetings helped the studied organizations to achieve competitive advantages and improve their performance.

This study provides a theoretical framework that helped to improve the understanding of the interrelationships between demand management constructs and cross-functional integration factors. There are indications that a political–economic crisis has stimulated the existence of a willingness to work together and group spirit among employees who remain in the organization after mass dismissals. This climate of cooperation helped to increase the agility and resilience of the studied supply chain, which is currently affected by a changing market.

This paper aims to present and discuss the results of the assessment of maturity of facilities management (FM) industries (FMi) in five countries, namely, Denmark, Hong Kong, Norway, Tanzania and the UK. The analysis is based on the “Integrated Feeder Factors Framework (I3F)”. I3F analyses maturity by assessing the progression and integration of the key factors essential for the maturity of the FMi, which are organisations practice, supply market, education, professional bodies, research and business environment.

FM experts in respective countries were interviewed. Data were also gathered from official documents and websites. The collected evidences were analysed using pattern matching.

The FM industry in the five case study countries are found at various levels of maturity. The UK exhibited high levels of maturity compared to other countries. Norway, Hong Kong and Denmark were at the same level with some notable differences, while Tanzania was at the lowest level.

The research successfully tested the I3F. This sets foundation for assessing maturity of the FM industry at a country level. The assessment of maturity at a country level is important to FM stakeholders in charting out plans for its development and longevity.

This is the first research which has assessed the maturity of FMi in five countries using an I3F. The results show the strength and weaknesses of the FMi in the five countries and point out areas which require stakeholders’ efforts to be improved or maintained.

The purpose of the work consists in studying social integration as a factor of economic growth. The authors focus on experience and perspectives of developing countries, as they show the highest rate of economic growth and have high potential of its acceleration.

The authors determine the interconnection between the processes of social integration in the four distinguished manifestations with the help of regression analysis and determine the level of homogeneity of data selections for each studied indicator with the help of variation analysis. Scenario analysis of future perspectives of the change of economic growth depending on the influence of the factor of social integration in the unity of its distinguished types is performed. Monte Carlo method is used for forecasting of change of the values of indicators of social integration.

It is substantiated that social integration is an important factor of economic growth. At the same time, the influence of this factor on economic growth of developing countries is ambiguous. Due to the offered proprietary classification of social integration according to the criterion of involved subjects, it is possible to establish that such types of social integration as integration of social groups, integration of business and society and integration of state and society have a positive influence. However, individual's integration into society has a negative influence.

The research contributes to development of economics by substantiating the significance of the social integration factor for economic growth and specifies the logic of management of this factor, which should be flexible. The perspectives of developing countries in acceleration of the rate of economic growth based on managing the factor of social integration are rather wide and envisage the increase of society's inclusion and the level of consumer consciousness and more active involvement of population into state management in the digital economy.

Integrating demand with supply has always been an evolving research area, which is affected by different factors including, but not limited to, sustainability, changing consumer demands and emerging supply chain practices. However, most of the research targeted developed countries due to better data access and enhanced information visibility. The research on supply and demand integration in Saudi Arabia is still in its infancy. This study explores this gap by providing a comprehensive analysis of demand and supply chain integration in the context of sustainability. This is done by first creating a developing countries-based research framework and then validating it through surveying 162 Saudi companies operating in multiple sectors like food, fashion and retail. Results suggest that there is more emphasis on supply-side factors relative to demand-side factors in the context of integration. Demand side factors only marginally impact waste reduction efforts. Similarly, the food sector is most sensitive to integration efforts attaching high importance to sustainability and efficiency initiatives. These results can be a useful guide for managers and policymakers who are planning and executing at the interface of demand and supply chains in developing countries.

Cross-sector analysis by survey questionnaire of 162. Descriptive statistical analyses were performed on the data for the study participants. Continuous variables were summarised using mean and standard deviation (SD), median and IQR; and proportions were used for nominal and ordinal variables. A total score measuring perception of employees towards supply–demand integration was analysed and compared by company-related factors (sector/industry, length of service in firm (years) and the number of employees). Comparisons were made using the chi-square test or ANOVA. A linear regression model was utilised to examine the independent effect of supply and demand side factors on employees' perception of integration. The model controlled for the sector, length of service and number of employees. Statistical significance was considered at p < 0.05.

The linear regression results showed that supply items significantly predicted integration. That is, higher supply–demand integration scores were significantly related to indicators for using supply variables in supply chain management (SCM) improves operational efficiency (OE), integrating supply variables at the execution stage reduces overall waste and including at least one supply-side variable in supply planning (p < 0.05). The indicator for integrating demand variables at the execution stage reduces overall waste was only marginally related to an increased integration scores (p = 0.089). Lastly, a significantly better perception of supply–demand integration was reported by employees in the food sector compared to those in the fashion sector (p = 0.018). Length of service or number of employees in the firm was not related to perception towards supply–demand integration.

Though accessing 162 companies in the Saudi market is a significant sample size given the fact that they are quite conservative in sharing supply and demand information. However, for better generalisation and richer insights, more sectors like manufacturing, oil and gas and hospitality should be added in future. Cross-country analysis from developing countries can be another interesting future direction.

This empirical paper draws its strength from the scale and depth of empirical data collected from Saudi companies belonging to multiple sectors to better understand demand and supply chain integration, especially from sustainability and waste reduction. This is true in the era of the pandemic and its associated risks for both upstream and downstream. The developing countries' perspective is important as not enough is written in the literature given the difficulties in accessing the information and subsequent analysis. The insights are bound to be unique as a consumer in these countries is undergoing significant socioeconomic changes affecting the supply chain of the companies.

The purpose of this study is to examine the position of interoperability of government and corporate portals in technological adoption space in India in terms of three critical dimensions: data integration, process integration and communication integration.

This exploratory study was conducted through a survey questionnaire from 300 portals of government departments and public sector undertakings (PSUs) in India. Data were also collected from portals of Indian companies and the results have been compared with those of the government portals.

The results show that the majority of government portals in India have initiated integration. Second, the portals of Indian companies are performing better than the portals of government and PSUs for achieving an interoperable position. Third, there is high dispersion in level of integration of government portals in India.

The portals with the lowest level of integration in government in India will determine when government will actually attain full horizontal integration and hence achieve an interoperable portal as there is high dispersion in level of integration of government portals in India. Also, for achieving an interoperable government portal, an organization needs to focus on the weakest factors of each dimension.

This study is the first to examine the position of interoperability in technological adoption space in India. The results lead to a number of recommendations for achieving interoperability for government portals in India. The study also highlights the weakest factors of each dimension that require more improvement than other factors.

The purpose of this paper is to develop a model based on the total interpretive structural modeling (TISM) approach for analysis of factors of additive manufacturing (AM) and industry 4.0 (I4.0) integration.

AM integration with I4.0 is attributed due to various reasons such as developing complex shapes with good quality, real-time data analysis, augmented reality and decentralized production. To enable the integration of AM and I4.0, a structural model is to be developed. TISM technique is used as a solution methodology. TISM approach supports establishing a contextual relationship-based structural model to recognize the influential factors. Cross-impact matrix multiplication applied to classification (MICMAC) analysis has been used to validate the TISM model and to explore the driving and dependence power of each factor.

The derived structural model indicated the dominant factors to be focused on. Dominant factors include sensor integration (F9), resolution (F12), small build volumes (F19), internet of things and lead time (F14). MICMAC analysis showed the number of driving, dependent, linkage and autonomous factors as 3, 2, 12 and 3, respectively.

In the present study, 20 factors are considered. In the future, additional factors could be considered based on advancements in I4.0 technologies.

The study has practical relevance as it had been conducted based on inputs from industry practitioners. The industry decision-makers and practitioners may use the developed TISM model to understand the inter-relationship among the factors to take appropriate measures before adoption.

The study on developing a structural model for analysis of factors influencing AM and I4.0 is the original contribution of the authors.

The integration of migrants into the society of the host country is one of today’s greatest challenges. Recent increases in the number of newcomers are creating great challenges for European nation-states that are receiving migrants, especially for those countries that traditionally do not define themselves as multicultural societies. In order to help newcomers’ economic and social integration into the host country, their specific characteristics, which result from their linguistic and cultural background, need to be considered. Furthermore, migration is often stressful, and it often acts as a stress factor that contributes to lowered mental health (Bhugra, 2004). Thus, migrants’ inclusion into the mental health-care system of the host country is not only essential to prevent lowered mental health, but might serve as an indicator of their integration into the country’s national institutions as well.

This chapter examines migrants’ subjective notions of integration and their psychological well-being in Germany. The first part of this chapter reviews previous research on migrants’ integration in Germany and presents theoretical frameworks that aim to explain migrants’ integration and psychological adaptation. The second part of the chapter describes an empirical study conducted among psychotherapy patients with a migrant background, and discusses migrants’ subjective notions of integration and psychological well-being in the German mental health-care system.