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The need for effective and efficient product innovation (PI) is a great challenge for organisations in today’s hypercompetitive global markets. Many research studies addressed problems/obstacles to successful PI from various perspectives. Many other - studies proposed factors to help companies mitigate such problems. Here, the primary objective is to propose an integrated model, to empirically test this model, and get insights about which factors, if managed appropriately, will help reduce the obstacles to PI in practice. A questionnaire was developed, pilot tested, and used to collect data from 47 PI managers. The results support the theoretical importance of a formal PI process, characteristics of the company environment, and the availability of specific resources as important factors to reduce obstacles to company PI. Based on the results recommendations are made to practitioners and researchers in this important area.
On March 26, 2018, the People’s Republic of China (PRC) launched Shanghai crude futures as part of its efforts to enhance the region’s energy security. The PRC’s crude futures performed far beyond the market’s expectation in terms of liquidity, volume, and price signal, and thus reignited interest in launching natural gas futures. Any futures of natural gas or liquefied natural gas will be heavily derivatized from efficient benchmark price indexes, which are assessed and reported at the regional market hubs. Instead of having a couple of centralized exchange centers or virtual trading hubs, the web of efficient multiple regional physical and marketing hubs strategically located across the nation would contribute to regional cooperation between the PRC, Japan, and the Republic of Korea; fundamentally change global gas market dynamics; enhance the PRC’s energy security; and support Asian pricing index development. It is the prime time to fast track the establishment of such market hubs in the PRC. We study market participants’ needs and functions of market hubs, identify key success factors of establishing such market hubs, recommend what would make commercially viable and efficient hubs in the PRC in a 14-stage blueprint, and evaluate major policy implications for the PRC, and broadly Asia.
This chapter looks at E-business strategy planning and implementation, describes success factors of E-business, and comments on the likelihood of future success of some well-known e-business organizations by referring to Xu and Quaddus (2009)’s predications.
Mobile business ecosystems are based on product innovations and complements created on platforms facilitating transactions between groups of users in a multi-sided market. The purpose of this research is to present a model of success factors (SF) of mobile ecosystems. This research establishes an empirical framework based on the Android ecosystem, which has been analyzed in-depth on firm and ecosystem level, identifying 16 success factors. The main theoretical contribution is a model that identifies SF of platforms, which are related to the identification of the role of users and complementors in increasing innovation success. The model advances research in innovation platforms.
This chapter presents the background of ChatGPT, discusses the benefits it can provide to higher education, points out its limitations and concerns and issues, and looks at strategies and success factors for the successful implementation of ChatGPT in the higher education organizations.