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This study comparatively examines the collaborative policy mechanisms for interlocal cooperation (ILC) utilized by municipal managers in Nebraska, USA, and Norway. The research addresses differences in ILC, factors of national setting and implications for ILC management in public service delivery.

Over a seven-year period, the researchers collected data from 16 communities in the two countries to observe perceptions and usages of ILC. Using a policy tools theoretical framework, the authors apply a typology of collaborative mechanisms for comparative analysis.

The findings suggest that institutional orientations in the USA and Norwegian systems of government affect managerial approaches to collaborative service delivery, namely the operationalization of local governments within federal and unitary structures may influence perceptions toward the formality and specificity of ILC policy mechanisms.

This study offers further understanding of ILC mechanisms for public sector management. Theoretical and practical implications of ILC in a comparative international context of governmental systems for collaboration are explored.

The intensity of carbon emissions has led to the serious problem of global warming, and the consequences in terms of climatic disasters are gaining increasing attention worldwide. As the energy sector is responsible for most global emissions, developing clean energy is crucial to combat climate change. This study aims to examine the relationship between corporate governance and renewable energy (RE) consumption and explore the interaction between RE production and RE use.

The study adopts an econometric framework of a panel model, followed by the robustness check using alternative methods, including logit regressions. The bivariate probit model is used to analyze the interaction between the decision to use and the decision to produce RE. The analysis is based on a sample of 3,896 firms covering 45 countries worldwide.

The results reveal that appropriate governance mechanisms positively impact RE consumption. These include the existence of a sustainability committee; environmental, social and governance-based compensation policy; financial performance-based compensation; sustainability external audit; transparency; board gender diversity; and board independence. Firms with appropriate governance mechanisms are more likely to produce and use RE than others. Finally, while RE use positively impacts firm value and environmental performance, the authors find no significant effect on current profitability.

This study goes beyond previous research by exploring the impact of multiple governance mechanisms. To the best of the authors’ knowledge, this is also the first study examining the relationship between RE use and firm value. Overall, the findings suggest that RE transition requires, first of all, establishing appropriate governance mechanisms within companies.

The authors explore the impact of an emerging technology, blockchain technology, on diverse governance mechanisms and sustainable supply chain practices and how its relationships with the linkage of these elements.

The methodology incorporates a literature review and a qualitative empirical analysis of the Electronic Product Environmental Assessment Tool (EPEAT) standards. Expert opinions from various firms and organizations within the electronics sector are assessed. Through a thematic analysis, the relationships are identified and examined.

Data immutability, transparency and traceability capabilities of blockchain technology enhance the relationship between environmental standards and ecological supply chain sustainability practices. Although immature, the blockchain can influence the governance of supply chain sustainability practices. Immaturity of technology, lack of expertise, sharing information and trust have delayed adoption.

There is limited empirical evidence regarding blockchain's impact on governance mechanisms, specifically hybrid public-private mechanisms and sustainable supply chain practices. The study further evaluates how particular blockchain features may exert varying influences on these aspects and different sustainable supply chain traits. As an exploratory study, it proposes new areas for further research, including how blockchain's traceability function can improve sustainability standard adoption. Additionally, there is a call for integrating blockchain with technologies like IoT and sensors which may influence supply chain governance mechanisms, standards and sustainability practices.

In many contemporary service organizations, service teams or service units are the main engines used to deliver key services to customers, client or patients. However, it remains unclear how teamwork mechanisms (i.e. the ways team members work together) influence customer service outcomes, and whether these relationships vary across different service contexts. To advance knowledge on the nature of teamwork in service teams and to set an agenda for further work in this area, there is a need to integrate and synthesize findings across the diverse literature on service teamwork. This paper aims to discuss the aforementioned objectives.

Using a meta-analytic approach, the authors analyzed a substantial pool of relevant effect sizes (a total of 372 effect sizes from 82 studies, with 14,291 service teams/units) to examine the effects of affective, behavioral, cognitive, motivational as well as perceptual teamwork mechanisms on customer service outcomes. The authors also investigated two key service context variables (service climate and service type) as boundary conditions on these effects.

The authors found that cognitive teamwork mechanisms were more strongly positively associated with customer evaluative outcomes than other mechanisms, whereas motivational and perceptual teamwork mechanisms had stronger associations with financial outcomes. Further, four of the five teamwork mechanisms demonstrated stronger correlations under a high service climate. The strength of the correlations between the teamwork mechanisms and customer service outcomes also exhibited different patterns when considered for different service types.

As with all meta-analysis, the quality of the primary studies influences the quality of the insights obtained from summarized effects. As most studies are cross-sectional design, the relationships examined in this paper cannot be interpreted causally. The authors cannot rule out the possibility of reverse causality, for example, reciprocal effects of customer service outcomes on teamwork dynamics due to the reciprocal feedback loop between customers and service providers.

The results hold important practical implications for enhancing customer evaluation and financial performance. First, the overall findings point to the need for employers to emphasize on certain types of teamwork training in order to encourage employee collaboration within service teams. For instance, service organizations could plan team building activities for service teams to promote trust, strengthen interpersonal bonds and improve problem-solving.

The results of this study provide an integration of previous research on service teamwork and fill two important gaps in the knowledge: (1) which aspect of teamwork is more important in determining customer service outcomes? And (2) does the effect of teamwork on customer service outcomes differ across different service contexts?

This study aims to discuss the mathematical modelling of a compliance-assisted flapping mechanism and morphable structures for an UAV.

A compliance-assisted flapping wing was designed and modelled mathematically, and signals for the corresponding curves were calculated. The actual wing tip trace of a hummingbird was taken, and variables a, b, h and k were calculated from the image. This data was given to the mathematical model for plotting the graph, and the curve was compared with the input curve. The wing frame and mechanism for control surfaces using morphing is modelled along with single pivoted spine for centre of gravity augmentation and flight orientation control.

The model efficiently approximates the 2D path of the wing using line segments using the muscle and compliance mechanism.

Using a compliance-assisted flapping mechanism offers practical advantages. It allows us to synchronize the flapping frequency with the input signal frequency, ensuring efficient operation. Additionally, the authors can enhance the torque output by using multiple muscle strands, resulting in a substantial increase in the system’s torque-to-weight ratio. This approach proves to be more favourable when compared to conventional methods involving motors or servos, ultimately offering a more efficient and robust solution for practical application.

This model focuses on creating a flexible and tunable mechanism that can at least trace four types of wing traces from the same design, for shifting from one mode of flight to another.

Conventional ornithopter flapping mechanisms are gear or servo driven and cannot trace a wing tip, but some can trace complicated curves, but only one at a time. This model can trace multiple curves using the same hardware, allowing the user to program the curve based on their needs or bird. The authors may vary the shape of the wing tip trace to switch between forward flight, hovering, backward flying, etc., which is not conceivable with any traditional flapping mechanism.

The research is aimed at investigating how relational mechanisms and formal contracts affect alliance success under constructive and destructive conflict.

While relational mechanisms and formal contracts are widely used in strategic alliances to manage a variety of issues among partners, recent research has indicated that effects of these governance mechanisms may change in distinct contexts. Adopting the lens of new institutional economics, this study provides insights on the comparative and interactive effects of relational mechanisms and formal contracts on alliance success, and the differential contingency effects of two types of inter-partner conflict, i.e. constructive and destructive conflict, on the above relationships. The authors use hierarchical multivariate regression analyses through a survey dataset of 392 alliance firms in China with the approach of two key informants.

The empirical results confirm that relational mechanisms have a stronger positive effect on alliance success than formal contracts and these two governance mechanisms complement each other in driving alliance success. When facing a high level of constructive conflict, partner firms rely to a greater extent on relational mechanisms than on formal contracts to achieve alliance success. When a high level of destructive conflict exists, partner firms depend more heavily on formal contracts than on relational mechanisms to achieve alliance success. Moreover, the complementary effect of the two governance mechanisms is much stronger when partner firms face high constructive conflict than when they face high destructive conflict.

This study discloses the comparative and interactive effects of relational mechanisms and formal contracts on alliance success in distinct contexts by identifying the moderating roles of constructive and destructive conflict.

This paper aims to analyze the influence of governance mechanisms in the generation of relational rents for supplier in short food supply chains (SFSCs).

This study used data from a survey of 181 organic producers in SFSCs, using partial least squares structural equation modeling (PLS-SEM) with the aid of the SmartPLS® 3 software for the analysis.

The results show the relationship between formal and informal governance mechanisms and relational rents. The predominance of informal mechanisms enabled a higher explanatory power than that provided by formal governance mechanisms. Further, the authors found that the complementary use of governance mechanisms has a stronger impact on generating relational rents. However, contextual factors such as relationship time, power asymmetry and uncertainty in demand have not shown any influence on governance mechanisms for generating relational rents.

The result sheds new light on the relevance of governance mechanisms to foster relational rents to suppliers in SFSCs. It also shows that contextual factors that affect relationships in traditional supply chains do not play a relevant role in SFSCs due to their specific characteristics.

This paper aims to focus on the spatial docking task of unmanned vehicles under ground conditions. The docking task of military unmanned vehicle application scenarios has strict requirements. Therefore, how to design a docking robot mechanism to achieve accurate docking between vehicles has become a challenge.

In this paper, first, the docking mechanism system is described, and the inverse kinematics model of the docking robot based on Stewart is established. Second, the genetic algorithm-based optimization method for multiobjective parameters of parallel mechanisms including workspace volume and mechanism flexibility is proposed to solve the problem of multiparameter optimization of parallel mechanism and realize the docking of unmanned vehicle space flexibility. The optimization results verify that the structural parameters meet the design requirements. Besides, the static and dynamic finite element analysis are carried out to verify the structural strength and dynamic performance of the docking robot according to the stiffness, strength, dead load and dynamic performance of the docking robot. Finally, taking the docking robot as the experimental platform, experiments are carried out under different working conditions, and the experimental results verify that the docking robot can achieve accurate docking tasks.

Experiments on the docking robot that the proposed design and optimization method has a good effect on structural strength and control accuracy. The experimental results verify that the docking robot mechanism can achieve accurate docking tasks, which is expected to provide technical guidance and reference for unmanned vehicles docking technology.

This research can provide technical guidance and reference for spatial docking task of unmanned vehicles under the ground conditions. It can also provide ideas for space docking missions, such as space simulator docking.

Platform certification constitutes an effective mechanism for managing the lemon problem concerning food e-commerce. This work aims to evaluate the market effect of platform certification and analyzes its correction mechanism for lemon problem combined with reputation mechanism.

Utilizing the Gold Seller certification of Taobao.com to serve as an illustration, the authors conducted an empirical study based on the sales data of hairy crabs among 2,239 sample sites over six points in time from October to December 2019, systematically examining the market effect of food e-commerce platform certification along with the interaction between food e-commerce platform certification and reputation mechanisms, followed by a heterogeneity test by product price.

This study finds that sellers with platform certification can significantly increase their sales. The market effect of platform certification is more easily observed in the low-price product market. In addition, platform certification and reputation mechanisms have complementary effects. In a low-price product market, the complementary effect of platform certification and product reputation diminishes, while the complementary effect of platform certification and seller reputation disappears.

This study explores the market effect of food e-commerce platform certification, reveals the market effect of certification mechanism when multiple signaling mechanisms exist simultaneously and conducts an empirical test based on real market data. It provides a better comprehension of how platform certifications work in food e-commerce.

Different external supply scenarios faced by the retailers will affect their choice of strategy when supply is disrupted and becomes far less than demand, urgently. This study focuses on analyzing both demand and supply side response strategies to meet customer demand and reduce the impact of the shortage during supply disruptions.

According to the quantity of products that the external market can provide, the external supply scenarios were divided into sufficient-type external supply and learning-type external supply. A two-echelon perishable goods supply chain was analyzed, and three kinds of contingency strategy models for downstream retailers were investigated. First, in the sufficient external supply scenario, the optimal price and transshipment quantity to maximize retailer's profits is discussed. Second, in the scenario of learning-type external supply, this study analyzes the optimal decision in three mechanisms of the hybrid strategy and their application: price priority mechanism, quantity priority mechanism and price–quantity balance mechanism. Furthermore, the influence of penalty cost and supply on the priority orders of different mechanisms was studied.

Results show that comparing the two pure strategies (pricing strategy and transshipment strategy)it was noted that the hybrid strategy produces the best results in sufficient-type external supply scenario. In the learning-type external supply scenario, a numerical study has shown the existence of three areas in case of penalty cost and supplier's capacity, and each areas has different priority orders of the three mechanisms. Under the situation of learning external supply, the retailer's optimal strategy is affected by parameters such as penalty cost and supply volume.

The main innovation of the work lies in the following: First; the external supply situation was divided into sufficiency type and learning type, which improves the external situation faced by retailers after the outbreak of emergencies, helps retailers understand the external situation, conforms to the actual situation and has certain practical application value. Second; in the context of learning external supply, there are three coping strategies for retailers, including: Price priority mechanism, Quantity priority mechanism and Pricing and transshipment balance mechanism. This will help retailers make strategic choices, make more scientific management decisions and improve the supply chain emergency management theory. Third; the demand side response was managed through the change of external supply during supply side recovery period and supply disruption. The proposed model enables managing and analyzing supply disruption efficiently and effectively via handling uncertainty by considering all aspects of decision-making process. The proposed model can be applied in various fields such as vegetable and fruit, fresh food, etc.