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It is worth mentioning that in supply chain management (SCM), managerial decisions are often based on optimization of resources. Till the early 2000s, supply chain optimization problems were being addressed by conventional programming approaches such as Linear Programming, Mixed-Integer Linear Programming and Branch-and-Bound methods. However, the solution convergence in such approaches was slow. But with the advent of Swarm Intelligence (SI)-based algorithms like particle swarm optimization and ant colony optimization, a significant improvement in solution of these problems has been observed. The purpose of this paper is to present and analyze the application of SI algorithms in SCM. The analysis will eventually lead to development of a generalized SI implementation framework for optimization problems in SCM.

A structured state-of-the-art literature review is presented, which explores the applications of SI algorithms in SCM. It reviews 56 articles published in peer-reviewed journals since 1999 and uses several classification schemes which are critical in designing and solving a supply chain optimization problem using SI algorithms.

The paper revels growth of swarm-based algorithms and seems to be dominant among all nature-inspired algorithms. The SI algorithms have been used extensively in most of the realms of supply chain network design because of the flexibility in their design and rapid convergence. Large size problems, difficult to manage using exact algorithms could be efficiently handled using SI algorithms. A generalized framework for SI implementation in SCM is proposed which is beneficial to industry practitioners and researchers.

The paper proposes a generic formulation of optimization problems in distribution network design, vehicle routing, resource allocation, inventory management and supplier management areas of SCM which could be solved using SI algorithms. This review also provides a generic framework for SI implementation in supply chain network design and identifies promising emerging issues for further study in this area.

This paper aims to illustrate why an understanding of how levels of analysis interact is an essential part of multilevel research in the field of international business (IB). Using research on strategy implementation (SI) in multinational corporations (MNCs) as an example, this paper develops a taxonomy and research agenda that demonstrates the key role critical scholars can play in advancing multilevel theorization.

Drawing on the assumptions of methodological collectivism and individualism, the paper presents a four-step framework: defining the theoretical boundaries of the selected subject; juxtaposing theoretical arguments with empirical work; identifying single- and multi-level theories; and developing a research agenda.

Research on SI in MNCs has been dominated by one type of theorizing that focuses on the designs of organizational systems or the power of institutions. Multilevel theorization grounded in methodological individualism would offer new knowledge by including the views of under-represented stakeholders, questioning the justice of established systems and overall implications of MNC operations.

The proposed four-step framework encourages scholars to adopt a systematic approach to multilevel theorizing and draw upon the untapped potential of IB theories.

The paper contributes to the IB field by introducing an approach to assessing IB research from a multilevel theorizing perspective. The actionable research agenda on SI and the taxonomy of SI research can assist scholars in making aligned choices on study design and envisioning research questions that yield meaningful contributions to theory and practice.

How in essence a firm’s service innovation affects its performance is always an intriguing and important issue to business researchers and practitioners. However little is known about the moderating effects of a firm’s approach to innovation and capability of marketing orientation that influence this aforementioned relationship and the underlying mechanisms. This paper aims to examine how ambidextrous innovation (exploration and exploitation innovation) and market orientation capabilities (market-sensing and customer-linking capabilities) can shape the relationship between service innovation and firm performance. Research model was developed based on theoretical foundation of the resource-based view and the rationed perspective.

Using an original data set comprising 170 service-oriented firms from Taiwan, the authors found that ambidextrous innovation and market orientation capabilities can significantly enhance performance for service-oriented firms. The authors used the traditional ordinary least squares regression and the zero-inflated Poisson regression to test the five hypotheses.

The empirical results fully support the hypotheses that ambidextrous innovation and market orientation capabilities can significantly enhance firm performance. These results imply that the benefits of ambidextrous innovation and market orientation capabilities can coexist in a service innovation deployment and that these combined benefit firm performance.

The ambidextrous innovation and market orientation capabilities play catalytic roles during innovative service implementation in the service-oriented sectors. The roles of these factors have rarely been examined together before. Hence, this study addresses the gaps in current understanding and provides valuable insights, particularly in the context of the future service innovation deployment. In addition, the theoretical and managerial implications of the findings provide useful and valuable information for both the researchers and managers of the service-oriented.

This study investigates the drivers of social innovation in disability services with specific reference to the context of nonprofit organizations of social farming. In addition, it highlights the role of stakeholder networks in enhancing the social innovation process and the characteristics of stakeholders and networks driving and supporting social innovation.

Following a qualitative methodology, research was conducted through a case study survey with interviews to 13 nonprofit organizations of social farming for people with disability located in the northeast of Italy.

Insights gained from the interviews revealed that individual, organizational and contextual factors drive social innovation in disability nonprofits. In addition, networks play a key role in enhancing the three drivers of social innovation through the social innovation journey, from opportunity recognition to implementation of the innovation, to its consolidation phases. Characteristics of the networks and the stakeholders involved are also outlined.

Practical implications for social entrepreneurs include the need to establish cross-sectoral partnerships with diverse stakeholders, including private companies.

Implications for policy makers stress the need for ongoing support for nonprofit disability organizations. Social implications are not limited to the inclusion of socially weaker groups; rather, the entire community benefits from the social innovation process.

Social farming represents a valuable solution to meet the needs of disadvantaged people. While much research has investigated the topic of social innovation in social entrepreneurship, only a few studies have addressed social innovation in the context of disability nonprofits involved in social farming.

Social innovation (SI) remains a latent area in the South African local government (LG) sphere despite its growing use in public-sector service delivery globally. This paper aims to investigate the use of SI in the service delivery of LG through a comparison between the City of Ghent (CoG) (Belgium) and the Mangaung Metropolitan Municipality (MMM) (South Africa).

Through a comparative case study approach, qualitative research methods were used to both collect and analyze the data. Data collection instruments included document analysis (naturally occurring data), semi-structured interviews (generated data) and focus group discussions (generated data).

Although LG is obliged to collaborate with citizens, various factors influence citizens’ ability to make contributions, even when platforms are created. Collaborative initiatives aid in the realization of collective development visions and enhance citizen participation in a more responsive and inclusive approach to service delivery. Collaborations would require citizens and LG officials to be empowered by finding new ways of working together, as well as developing skills.

Citizens’ participation when SI is used to enhance service delivery should be meticulously planned. Co-producing services require a conducive internal organizational context that advances citizen participation in the governance and decision-making of service delivery, which is likewise optimal for enhancing the use of SI during the respective co-production service delivery stages. Achieving a conducive internal organizational context is influenced by the role of LG officials and politicians in understanding the value proposition of participation in service delivery to citizens. This value proposition is crucial to building and establishing a trust relationship between citizens, LG officials and politicians. Finally, consensus concerning the concept of SI and its use and implementation is important to ensure its consistent use and application by a municipality, and thus calls for further in-depth investigation.

SI is a nascent area for which the discourse is still under development, and it is a concept that is often the subject of debate in literature. This paper is justified by the fact that the use of SI in the South African LG sphere lags behind the growing use thereof in public-sector service delivery by LGs globally. In addition, the study presents novel insights regarding similarities and differences in the use of SI through a comparison between two LGs, namely, the MMM and the CoG.

This study aims to analyze the theoretical complexity that underlies purchase managers’ perceptions of their ability to take part in the implementation of a new back-office service strategy.

A survey of purchasing department managers in the Antalya (Turkey) region was conducted. The purchasing managers of Antalya’s five-star accommodation businesses comprise the research sample.

Within the scope of the study, 205 questionnaires were gathered. Factor analysis, correlation and regression analysis were applied to the obtained data. The learning organization (LO) consists of three factors (organization, group/team and individual), service innovation (SI) consists of two factors (employee innovation behavior and new service development) and technology acceptance (TA) consists of four factors (perceived usefulness, perceived ease of use, facilitating situations and social factors), according to the findings of the factor analysis. According to correlation analysis, LO, SI and TA all have positive and significant relationships. The LO has been observed to play an intermediary function in the relationship between TA and SI as a consequence of the analysis that determines the mediation effect.

This study which dealt with the dimensions of SI, TA and LO showed a proposed model which gives a better understanding of how the development of back-office system strategies is affected by LOs.

This paper aims to share the experience of a collaborative platform for social innovation (SI) in urban governance in Brussels (Belgium) and to formulate recommendations for future initiatives.

The publicly funded collaborative platform “Brussels by us”, which aimed to improve the quality of life in specific neighbourhoods in Brussels (Belgium), is presented as a case study for SI in urban governance. The case study is detailed according to four dimensions based on the SI and living lab literature.

While the initiative appeared to be a successful exploration platform for collaborative urban governance, it did not evolve into concrete experimentation nor implementation of the solutions. Possible explanations and recommendations are formulated.

The findings of this paper are based on the experience of a one-year initiative. The results should be completed by similar case studies of longitudinal initiatives, and with other levels of implementation such as experimentation and concrete implementation of solutions.

This paper presents a concrete case study of a collaborative platform implemented in a specific neighbourhood in Brussels (Belgium). Its digital and offline approach can help other practitioners, scholars and public institutions to experiment with the living lab methodology for the co-ideation of solution in urban governance. The four-dimensional framework presented in the study can provide future initiatives with a structured reporting and analysis framework, unifying and strengthening know-how in the domain of SI.

This study aims to investigate the criteria to measure and manage a software project’s quality indicator elements needed to implement system integration in the Industry 4.0 era.

The standard software process model SPICE: a crucial part of the system integration software development process, is analyzed to explore how the factors of the SPICE model rate qualitatively on the quality scorecard (QSC). QSC is a qualitative performance measurement model based on the cost of quality (COQ) perspective. The SPICE model’s effectiveness is examined in terms of system integration (SI) quality, and factors for improving this quality are determined.

The authors proposed future directions for improving SI management. The seven SPICE process groups were analyzed comparatively by matching them to the QSC. The SPICE model was found to achieve 63% with the required factors in QSC. Also, the uncommitted items indicated need to be considered for additional management in SI quality.

Since SPICE is revised every five years, it is suggested from this study that diagnosing the assessment items from the COQ perspective using QSC is one strategy to quickly enhance the quality of SI management in this rapidly changing technology revolution.

This research is the first study of its kind, proposing a methodology for adapting quickly to the Fourth Industrial Revolution’s changes and showing how the standards have changed the SPICE model over time.

Rising human aspirations leading to rapid urbanisation, amidst climate changes and other environmental pressures have aggravated the needs for better-focused sustainable urban development in general as well as for smart and sustainable cities in particular. Indeed, smart infrastructure (SI) development is a prerequisite for smart cities (SCs). However, inadequate funding and expertise for such SI development pose profound challenges that may be partially addressed by mobilising private finance and efficiencies through collaborative public–private partnership (PPP) models. This paper provides a holistic review and analysis of the relevant literature, as a basis for proposing such PPP models for developing SI.

A systematic literature review helped to fulfil the aim of this paper in the first phase of the underlying longer-term study. Authoritative search engines like Scopus and Web of Science indexed articles were reviewed and analysed, 85% of these being journal articles.

SCs that necessarily include SI are important in overcoming current urban challenges in developing and developed countries. Given shortfalls in traditional procurement and funding models, special PPP models are required for SI development. After identifying the relevant needs, drivers, barriers and challenges in different countries, a general indicative framework is developed to illustrate how the various interacting force fields can be harnessed to develop the envisaged PPP models that can complement non-PPP procurement models.

PPP for SI development is a relatively new, hence, under-researched topic. This desktop review and analysis provide a useful launching pad for the development of SI through overcoming the potential challenges in traditional procurement and financial models.

Based on the human resource (HR) and supply chain integration (SCI) literature, this paper aims to argue that high-involvement human resource practices (HIHRP) work as a complementary capability for SCI, and thus, HIHRP moderates the relationship between SCI and firm productivity. This moderating role is analyzed through the following HIHRP dimensions, namely, ability-enhancing, motivation-enhancing and opportunity-enhancing practices framework.

Using empirical data collected from a survey of the agri-food sector (horticultural firms of southern Spain), the moderating effects of HIHRP on the relationship between supply chain external integrations (with customers and suppliers) and productivity are examined. Hierarchical regression analysis is used to test the proposed hypotheses.

The results support that HIHRP has a moderating effect on the SCI/productivity relationship. However, these results are only significant in the case of supplier integration.

This study analyzes HIHRP as a complementary asset in the context of SCI and makes both theoretical and managerial contributions to the SCI literature by empirically analyzing the role of HR practices in enhancing the relationship between SCI and performance.