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This paper aims to empirically investigate how knowledge coordination is carried out within and across expert teams in the outsourcing service desk context from the standpoint of the information and communication technologies (ICT) provider.

The authors draw on an embedded case study to unravel the mechanisms used by expert teams to achieve knowledge coordination. Data collection included semi-structured interviews and document analysis over eight months.

Four groups of coordination mechanisms were found according to their nature and role in helping MESA achieve its organizational goals. The authors also identified how this set of mechanisms responds to the task-resource dependency and how it evolves over time to provide reliable ICT services. Furthermore, the analysis of four knowledge coordination dimensions inside each group uncovers the complexity of coordination in the studied context, with the “who” dimension being predominant across the groups. The analysis further reveals that the content (what) and mode of coordination (how) of each group respond to elements in the knowledge coordination process relevant for the different stages of the ICT service delivery process.

The case study addresses how people in outsourced services coordinate their knowledge to manage the interdependencies among the involved organizations and thus, achieving their goals. This study extends previous research that had analyzed the consequences of knowledge coordination for providers and customers by delving into the mechanisms used in this process from the provider’s point of view.

The paper attempts to discuss the optimal pricing decisions under the decentralized and centralized decision and analyze the influence of online reviews and in-sale service on dual-channel supply chain. Finally, the authors design a two-part tariff coordination mechanism.

To deal with this pricing conflict problems of dual-channel supply chain consisting of dominant manufacturer and a retailer, considering the fact that online reviews and in-sale service are important factors on consumers’ purchase decisions, the authors establish some basic models and exploit them to discuss the optimal pricing decisions under the decentralized and centralized decision and analyze the influence of online reviews and in-sale service on dual-channel supply chain. Finally, the authors design a profit-sharing coordination mechanism.

The results show that the optimal online direct selling price is positively correlated with product perceived quality obtained from online reviews and negatively correlated with the in-sale service. The traditional retail price is positively correlated with the in-sale service and weakly correlated with online reviews. For the manufacturer and retailer, whether decentralized decision or coordination contract, their profits increase with the increase of the in-sale service in a certain range and quality perceived from spontaneous online reviews. Online reviews and in-sale service are important factors on consumers’ purchase decisions. Positive in-sale services and online reviews can provide consumers with a better shopping experience, thereby promoting their enthusiasm for shopping and improving their quality of life. The two-part tariff coordination mechanism improves the profits of the manufacturer and the traditional retailer, respectively, through the transfer fee.

The proposed approach can well analyze the channel conflicts and pricing problems between retailers and manufacturers with respect to product offline price and online price. The analysis and results can inform decision-making for manufacturers and retailers.

Process mining (PM) has emerged as a leading technology for gaining data-based insights into organizations’ business processes. As processes increasingly cross-organizational boundaries, firms need to conduct PM jointly with multiple organizations to optimize their operations. However, current knowledge on cross-organizational process mining (coPM) is widely dispersed. Therefore, we synthesize current knowledge on coPM, identify challenges and enablers of coPM, and build a socio-technical framework and agenda for future research.

We conducted a literature review of 66 articles and summarized the findings according to the framework for Information Technology (IT)-enabled inter-organizational coordination (IOC) and the refined PM framework. The former states that within inter-organizational relationships, uncertainty sources determine information processing needs and coordination mechanisms determine information processing capabilities, while the fit between needs and capabilities determines the relationships’ performance. The latter distinguishes three categories of PM activities: cartography, auditing and navigation.

Past literature focused on coPM techniques, for example, algorithms for ensuring privacy and PM for cartography. Future research should focus on socio-technical aspects and follow four steps: First, determine uncertainty sources within coPM. Second, design, develop and evaluate coordination mechanisms. Third, investigate how the mechanisms assist with handling uncertainty. Fourth, analyze the impact on coPM performance. In addition, we present 18 challenges (e.g. integrating distributed data) and 9 enablers (e.g. aligning different strategies) for coPM application.

This is the first article to systematically investigate the status quo of coPM research and lay out a socio-technical research agenda building upon the well-established framework for IT-enabled IOC.

Instant crowdsourcing logistics (ICL) platform is an emerging business model in the field of logistics services. Crowdsourcees’ active participation in platform value co-creation is the key to success for this business model. This study aims to explore the influence of platform governance mechanisms on crowdsourcees’ participation in value co-creation on the platform.

Based on governance theory, this study constructed a model of the influence of platform governance mechanisms on crowdsourcees’ value co-creation intentions and discussed the role of community diversity in this model. The survey data of 319 collected from crowdsourcees on China’s well-known ICL platform were analyzed using a partial least squares structural equation model.

The results showed that platform governance mechanisms have a significant influence on crowdsourcees’ value co-creation intentions. Among them, the impact of the welfare resource support mechanism is the largest, followed by the reputation reward and punishment mechanism, while the price coordination mechanism has the least impact. Community diversity has a significant positive moderating effect on the welfare resource support mechanism and crowdsourcees’ value co-creation intentions, but not between other governance mechanisms and crowdsourcees’ value co-creation intentions.

The results provide references for ICL platform to develop a targeted governance mechanism to enhance the positive role of community diversity and reduce the negative impact.

This study aims to propose an analytical tool based on the activities–resources–actors (ARA) model to understand the coordination mechanisms in humanitarian action. The tool identifies the phases of humanitarian action and analyzes the underlying mechanisms that facilitate coordination among organizations.

This study uses a literature review to develop analytical grids and theoretical propositions based on the ARA model.

The ARA model is a useful tool for understanding coordination mechanisms in humanitarian action. The study identifies key elements of interaction systems and characterizes the phases of humanitarian action. Effective coordination among organizations is essential for successful aid delivery. The study provides four theoretical propositions.

Future research could validate the propositions formulated in this study through case studies.

The analytical grids proposed in this study can be used by humanitarian organizations to improve their coordination mechanisms and aid delivery processes.

Effective humanitarian action can help alleviate the suffering of individuals affected by crises and contribute to the overall well-being of communities. The analytical tool proposed in this study can improve the effectiveness of humanitarian action and ultimately benefit society.

This paper presents an original approach by leveraging the ARA model to develop an analytical tool for humanitarian action, which is useful for both practitioners and researchers. In addition, the paper attempts to overcome the siloed vision of humanitarian action by highlighting “emergency-development” aspect.

The service environment is becoming increasingly turbulent, leading to calls for a systemic understanding of it as a set of dynamic service ecosystems. This paper advances this understanding by developing a typology of service ecosystem dynamics that explains the varying interplay between change and stability within the service environment through distinct behavioral patterns exhibited by service ecosystems over time.

This study builds upon a systematic literature review of service ecosystems literature and uses system dynamics as a method theory to abductively analyze extant literature and develop a typology of service ecosystem dynamics.

The paper identifies three types of service ecosystem dynamics—behavioral patterns of service ecosystems—and explains how they unfold through self-adjustment processes and changes within different systemic leverage points. The typology of service ecosystem dynamics consists of (1) reproduction (i.e. stable behavioral pattern), (2) reconfiguration (i.e. unstable behavioral pattern) and (3) transition (i.e. disrupting, shifting behavioral pattern).

The typology enables practitioners to gain a deeper understanding of their service environment by discerning the behavioral patterns exhibited by the constituent service ecosystems. This, in turn, supports them in devising more effective strategies for navigating through it.

The paper provides a precise definition of service ecosystem dynamics and shows how the identified three types of dynamics can be used as a lens to empirically examine change and stability in the service environment. It also offers a set of research directions for tackling service research challenges.

Online collaboration in today's world is a topic of genuine interest to Internet researchers. The purpose of this paper is to explore the role of group knowledge heterogeneity (GKH) in open collaboration performance using the mediating mechanisms of group cognition (GC) and interaction to understand the determinants of the success of online open collaboration platforms.

Study findings are based on partial least squares structural equation modeling (PLS-SEM), the formal mediation test and moderating effect analysis from Wikipedia's 160 online open collaborative groups.

For online knowledge heterogeneous groups, open collaboration performance is mediated by both GC and collaborative interaction (COL). The mediating role of GC is weak, while the mediating role of COL is strengthened when knowledge complexity (KC) is higher. By dividing group interaction into COL and communicative interaction (COM), the authors also observed that COL is effective for online open collaboration, whereas COM is limited.

These findings suggest that for more heterogeneous large groups, group interaction would explain more variance in performance than GC, offering an in-depth understanding of the relationship between group heterogeneity and open collaboration performance, answering what determines the success of online open collaboration platforms as well as explaining the inconsistency in prior findings. In addition, this study expands the application of Interactive Team Cognition (ITC) theory to the online open collaboration context.

Agrifood platforms are now part of consumption habits. They have emerged in various forms, and we need to describe this diversity to understand better how platforms manage their relationships with farmers. We aim to understand the governance forms of agrifood platforms and consider whether they comply with the principles of transaction cost economics (TCE).

Based on a survey of 103 French platform managers, a two-step cluster analysis and ordered logit regressions were applied to test hypotheses derived from the theory.

The results enable us to propose a refined typology of eight governance forms for the farmer-platform relationship. These different forms can be classified according to a continuum ranging from “market to hierarchy”, conforming to TCE principles. We define a gradient describing how the platforms manage their relations with the farmers through contractual and relational control. We show that specific assets, behavioural uncertainty, and membership in a platform network are associated with more integrated governance forms.

The article describes the different forms of platform governance and their relevance to market conditions. This clarification is necessary for farmers to elect the more suitable platform and for platform managers to create a new business or improve its efficiency.

This article is the first to offer a detailed typology of agrifood platform governance. It highlights these governance characteristics and their relationship with transaction attributes.

Policy coherence is a complex and tough task for many developing nations because their capacity to examine and deliver evidence-based inputs to policymaking is limited, and policy dialogue platforms need to be effectively used. Resolving these difficulties is a critical requirement for policy consistency. As a result, the study focuses on the level of policy coherence for climate change adaptation (CCA), disaster risk reduction (DRR) and sustainable development goals (SDG) in Sri Lanka and suggests routes for policy coherence for Resilience. This study aims to investigate the coherent approach of CCA, DRR and SDG; to identify concerns in policy documents addressing the coherence of CCA, DRR and SDG in local context; and to propose policy coherence suggestions for resilience in Sri Lanka.

Methodology comprises a review and content analysis of 17 policy and legal documents in Sri Lanka and a qualitative study. The qualitative approach consists of semistructured interviews that obtained deep and broad expertise knowledge with ten government representatives and stakeholders. Both content analysis and interview data were analyzed by using NVivo.

It was discovered that there are several issues with the coherence of policies in Sri Lanka, including the fragmented approach, lack of integration, inadequate coordination, limited resources and lack of monitoring and evaluation. The policies are inspired by international frameworks, and local implementations are not focused, leading to inadequate implementation of policies. The lack of development cooperation for the use of innovative approaches, such as climate-resilient infrastructure and environmentally friendly solutions for CCA and DRR, further aggravates the situation. Another concern is the lack of land use management and responsibility for the development of physical infrastructure for DRR integration with CCA. It is found that there is a limited community involvement which is vital for the implementation of policies. Local implementations are encouraged to fill the gaps in existing policies/acts. The analytical framework of the study is based on a preliminary examination of policy documents, a review of the literature and discussions with practitioners. The framework reflects the current situation of policy integration which addresses strategic, conceptual, institutional, operational and financial coherence. The research suggests pathways for achieving policy coherence in CCA, DRR and SDG in Sri Lanka, such as enhancing the strategic coherence by improving goals to increase the coherence within CCA, DRR and SDG; improving the credibility of the unified approach for developing DRR and CCA risk assessments; intensifying institutional cooperation and stakeholder management; improving the common monitoring and evaluation; establishing implementation strategies; and increasing the community involvement.

The study on policy coherence in Sri Lanka recommends increasing community and professional involvement, conducting more research, developing a national strategy, increasing capacity building, strengthening international collaboration and fostering multisectoral collaboration. These recommendations can help improve policy coherence between CCA, DRR and SDGs, align policies with national goals and priorities and improve implementation effectiveness. By implementing these recommendations, Sri Lanka can address the challenges of climate change and natural disasters and achieve SDGs.

The study on policy coherence for resilience in Sri Lanka has practical implications, including improved coordination and resource allocation, increased capacity building, improved reputation and sustainability. By integrating CCA, DRR and SDGs, this study can help Sri Lanka become more resilient to climate change and natural disasters, achieve SDGs and become a responsible actor in the international community. These implications can contribute to a more sustainable future and ensure that development goals are achieved in a way that is resilient to climate change and natural disasters.

Increased community participation: the study emphasizes the importance of community involvement in the policy development process. This can help build trust between communities and government agencies, improve transparency and ensure that policies are developed in a way that is responsive to local needs and priorities.

Based on the identified existing loopholes in the policies and pathways to policy coherence, the issues in policymaking could be overcome. It could be used to establish strong linkages between policies based on CCA, DRR and SDGs to achieve long-term resilience.

Much of the existing research conducted on dynamic capabilities and the microfoundations of innovation has focused either on individual or organizational factors without considering mechanisms. This paper aims to address this “process” gap by developing an integrated conceptual framework based on individual, processual and structural microfoundations as well as the interaction between and among them with respect to innovation.

To understand the theoretical and empirical landscape in building our conceptual model, we conducted a content analysis of existing research microfoundations, dynamic capabilities and innovation. Using NVivo 12, we identified and examined the individual and organizational behavior microfoundations and their interplay to propose possible processual mechanisms. We framed these process mechanisms using the sensing, seizing and reconfiguring dynamic capabilities framework.

The study emphasizes certain microfoundations that facilitate innovation-dynamic capabilities at various organizational levels. It is posited that both formal and informal strategic intelligence processes, along with directed and undirected information research methods, constitute crucial microfoundations for identifying opportunities for innovation. For the internal capture and seizing of these opportunities, we assert that the diversity of individual internal networks and the mechanisms for social integration will prove to be critical. Furthermore, the paper suggests that reconfiguring microfoundations, specifically an organization’s flexible structure and the involvement of external directors with diverse experiences, are pivotal in spurring innovation.

We combine the microfoundations approach (individual, structural and processual) with the dynamic capabilities theory (sensing, seizing and reconfiguring) to offer an integrated conceptual framework underlying innovation’s dynamic capabilities. This sets us apart from existing research by both introducing processual aspects and their multilevel interactions.