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Recent developments in telecommunication world have allowed customers to share the storage and processing capabilities of their devices by providing services through fast and reliable connections. This evolution, however, requires building an incentive system to encourage information exchange in future telecommunication networks. In this study, we propose a mechanism to share bandwidth and processing resources among subscribers using smart contracts and a blockchain-based incentive mechanism, which is used to encourage subscribers to share their resources. We demonstrate the applicability of the proposed method through two use cases: (i) exchanging multimedia data and (ii) CPU sharing. We propose a universal user-to-user and user-to-operator payment system, named TelCash, which provides a solution for current roaming problems and establishes trust in X2X communications. TelCash has a great potential in solving the charges of roaming and reputation management (reliance) problems in telecommunications sector. We also show, by using a simulation study, that encouraging D2D communication leads to a significant increase in content quality, and there is a threshold after which downloading from base station is dramatically cut down and can be kept as low as 10%.

Recent technological developments have caused a rapid increase in the use of portable devices around the globe. However, these devices comprise limited processing resources that restrict their performance. To overcome this issue, the existing literature provides several frameworks that enable resource sharing through ad hoc clouds. However, these frameworks lack the ability to cater to the omni-directional movements of devices, which adversely affects the cloud stability, thereby, restricting the resource sharing process. To this end, this paper proposes a novel framework, namely Mobility-aware Ad hoc Cloud-based Resource Sharing (MACRS), which aims to enhance resource sharing among devices. To achieve this aim, MACRS proposes a new mobility-aware clustering algorithm that improves cloud stability. Moreover, the proposed framework prevents unfair resource exploitation and introduces an enhanced technique to handle emergency tasks. Furthermore, we employed event-triggered energy valuations’ synchronization, instead of periodic updates, which minimizes network congestion, hence staving off bandwidth wastage. Additionally, MACRS proposes to maintain the local directory at each node, instead of the cellular service provider, to reduce end-to-end delay during energy valuations’ verification and to minimize the overall execution time of tasks. The simulation results demonstrated that MACRS provides considerably improved cloud stability and resource sharing in comparison with eminent frameworks.

The promotion and application of model-based systems engineering (MBSE) suffer from the lack of effective sharing of research and design (R&D) resources among enterprises in the networked collaborative design environment. This paper establishes a cross-enterprise R&D resource sharing incentive evolutionary game model, which considers multiple factors about resource sharers, sharing process and shared resource value information. The model analyses how various factors influence the evolution trend of sharing behavior. In addition, in order to realize the dynamic multidimensional evaluation and feedback of shared R&D resources and promote the positive development of resource sharing, this paper establishes a new dynamic double-objective resource evaluation model. The digital information resource in R&D resources is taken as an example to carry out experimental simulation and verification. Compared with the traditional evaluation methods, the new dynamic double-objective evaluation model established in this paper owns better performance on improving the cross-enterprise R&D resources collaborative sharing and further promoting the deep integration between R&D resources and R&D process under the networked collaborative design and MBSE development mode than others.

NOABSTRACTThe study explores the impact of transformational leadership on innovative employee behaviour, with tacit knowledge sharing as a mediator. This contributes to existing literature on the dynamic interplay between transformational leadership, employee innovation, and tacit knowledge sharing within organisational contexts.The study used a cross-sectional research design to examine relationships between the variables. 450 questionnaires were distributed among white-collar employees in Greater Jakarta, and a high response rate of 91.2% was achieved. Using the widely accepted Partial Least Squares Structural Equation Modelling technique, the study further analysed the hypothesised relationship among transformational leadership, tacit knowledge sharing, and innovative work behaviour.As evident from the study, transformational leadership would play a major role in influencing the level of sharing of tacit knowledge among employees and, therefore, would result in a supportive, innovative environment. It also has a direct effect on the employees to behave in an innovative way by the inculcation of new ideas or changes. Tacit knowledge sharing is positively related to innovative behaviour. Transformational leadership also indirectly affects innovative behaviour via tacit knowledge sharing. The model explaining these linkages was also further evidenced to be effective through the conduction of structural equation modelling. Overall, the results underline transformational leadership as a critical success factor for a knowledge-sharing culture and innovation development within the organisation, either directly or indirectly.The research topic area also encompasses the role of tacit knowledge sharing in mediating the relationship of transformational leadership with innovative work behaviour and, hence, reveals the connection between leadership and innovation through knowledge exchange. It places transformational leadership in a discourse of knowledge management and outcomes of innovation, which points to the general importance of intangible assets and specifically to knowledge sharing. The empirical findings supported the idea that transformational leaders provide a climate where sharing tacit knowledge is an important aspect of organisational innovation. This review, therefore, focuses on the knowledge management, innovation, and leadership literature, with the aim of providing a multidisciplinary overview that would be helpful for readers in management, organisational psychology, and business innovation. This is the approach of leadership development by organisational leadership. HR professionals need to focus on strategies supporting the inculcation of a culture of sharing tacit knowledge around innovation. It ought to support measurement approaches for evaluating effectiveness in leader-led efforts to promote innovation and knowledge exchange.

The growth of multi-sided platform (MSP) firms, especially those with high Internet utilization such as Uber, Tokopedia, Go-Jek as well as other sharing economy firms, started to catch the attention of strategic management scholars. Since multi-sided platforms have more than one distinct user side with various role in the business ecosystem, the strategic alliances between the MSP and its platform members may play a significant role in increasing the user base as well as the value of the platform itself. However, there are still few researches that discuss the strategic alliances within the MSP. For this reason, this conceptual article aims at mapping the strategic alliances literature relevant to the MSP context through in-depth literature review. Two case analyses from high growth MSP firms in Indonesia are presented to explain this phenomenon.

Current federal and state soil and water conservation programs consist primarily of cost-sharing or compensating farmers for implementing a set of pre-defined best management practices. This approach does not consider specific environmental outcomes or the cost-effectiveness of the program at the farm or watershed level. Performance-based incentives are payments that are attached to a specified environmental performance measure, for example a reduction in nutrient, sediment, pesticide, or bacteria loss from a field, or reduction in loading at the mouth of a watershed. Assessing environmental performance requires the definition of a performance measure, which is used to calculate resulting incentive payments. In this paper, we discuss issues related to the selection of a performance measure, such as the scale at which the performance is measured, modeling versus monitoring, and the ability of the measure to foster farmer learning and adaptive management. Numerous examples of performance measures adopted or considered by watershed stakeholders in several states are presented. Watershed managers, policy makers, and extension agents can consider this information to make informed choices among proposed approaches toward improving water quality in streams affected by agricultural nonpoint source pollution.