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This paper presents Indonesian preservice teachers’ experiences in designing a Science Technology Engineering and Mathematics-Technological Pedagogical Content Knowledge (STEM-TPACK) learning website. The framework of TPACK was expanded to include all STEM subjects for the synthesis of the theoretical/design framework. The STEM-TPACK framework is further epitomized as a replicable website to support preservice teachers in designing STEM lesson activities. The framework is also employed to examine preservice teachers’ efficacies and experiences in learning how to design the learning website. Thirty-seven second- and third-year Indonesian preservice teachers from science, mathematics, computer science, and engineering backgrounds formed interdisciplinary groups to design the STEM-TPACK website based on the current secondary school curricula. Data were collected from TPACK-STEM questionnaires, interviews, reflective journals, and observation. The preservice teachers’ efficacy for their STEM-TPACK developed significantly, with large effect sizes, after they co-designed the websites. The results also indicate that the preservice teachers faced challenges in communicating their discipline-based content knowledge when developing the STEM projects. Contextualizing and connecting their content knowledge with real-world design challenges was also difficult for them. Consequently, the preservice teachers realized that teaching is a complex matter, especially when they need to integrate the different disciplines for STEM education. However, this was viewed in a positive light for professional development. This study implies that preservice teachers may benefit from learning by design, employing the TPACK framework in the social setting of interdisciplinary STEM communities.

This study investigates the extending negative effects of impression management (IM) on organizational outcomes in the nursing context. Specifically, this study aims to understand the impact of IM on workplace exclusion through workplace deviance. The data came from 277 head nurses (nurses in leadership positions) in elderly care homes in Belgium. Structured paper-and-pencil questionnaires were administered on site in the respondents’ workplaces. In the findings of the current research, IM is positively related to workplace exclusion and the relationship is mediated by workplace deviance. Although, initially, IM is performed by the actors as a natural behavior to maintain their image, at some point, the actors can become fatigued with maintaining their image. Under ego depletion theory, the exhausted IM actors will be highly experienced in deviance or bad performance. Furthermore, consistent with social information processing theory and a correlation study between employees’ poor performance and workplace exclusion, the IM actors who fail to deliver good performance or behavior following their like-based rewards may be subject to social exclusion in their workplace.

This paper provides an initial analysis of the EU ETS based on the installation-level data for verified emissions and allowance allocations in the first trading year. Those data, released on May 15, 2006, and subsequent updates revealed that CO2 emissions were about 4% lower than the allocated allowances. The main objective of the paper is to shed light on the extent to which over-allocation and abatement have taken place in 2005. We propose a measure by which over-allocation can be judged and provide estimates of abatement based on emissions data and indicators of economic activity as well as trends in energy and carbon intensity. Finally, we discuss the insights and implications that emerge from this tentative assessment.

Sustainability is a managerial trend that plays an important role in the contemporary organizational strategy. A company’s capability to make sustainability more dynamic and integrated with strategies, transforming it into a business asset, has yet to be studied. This process of adaptation is reflected through innovative practices. However, there is still a gap between these practices and the organization’s strategies and capabilities. The aim of this work was to conduct a systematic literature review of the dynamic capabilities for sustainability. Afterward, it was possible to systematize the available knowledge, assessing the current lack of research integrating both themes. The mainstream literature was classified and coded, resulting in a framework for what has been done to date, with recommendations to guide future research. Results show that more research is needed on dynamic capabilities for sustainability, especially in emerging economies in general. Future studies should also consider mixed methodologies and comparative perspectives in multiples sectors or in the services sector. There’s also space to discuss managerial innovations toward sustainability through research alliances between different institutions around the world. In short, there are few studies that connect both themes— corporate sustainability and dynamic capabilities—and for this reason there is an opportunity for future studies seeking to identify what kind of dynamic capabilities can be developed to more effectively overcome the emerging sustainability challenges.

This article applies the theoretical notion of “bounded rationality” to understand and to explain the updates of the Environmental Target Policy (ETP) in China during 1972–2016. An analytical framework is built up by combining the phase model and the stream model in policy science in order to trace the longitudinal transformation of the ETP. In addition, the article adopts the “event sequence method” to discover the dynamics of the problem, politics, and policy streams of the target policy and to identify the evolving coupling between the different streams. It shows that China’s ETP has experienced five phases of development. For each phase the central government had its specific bounded rationality to make the crucial decision on the ETP. The decisions on the ETP in different phases were made when policy windows were open with the coupling of the problem, politics, and policy streams. As for the updates of the ETP, we find that the rationalities of the central governments in the five phases were limited by the emergent practices during the ETP implementation, which gave momentum to the central government to seek new solutions and to revise and adapt the ETP.

Route game is recognized as an effective method to alleviate Braess’ paradox, which generates a new traffic congestion since numerous vehicles obey the same guidance from the selfish route guidance (such as Google Maps). The conventional route games have symmetry since vehicles’ payoffs depend only on the selected route distribution but not who chose, which leads to the precise Nash equilibrium being able to be solved by constructing a special potential function. However, with the arrival of smart cities, the real-time of route schemes is more of a concerned of engineers than the absolute optimality in real traffic. It is not an easy task to re-construct the new potential functions of the route games due to the dynamic traffic conditions. In this paper, compared with the hard-solvable potential function-based precise method, a matched Q-learning algorithm is designed to generate the approximate Nash equilibrium of the classic route game for real-time traffic. An experimental study shows that the Nash equilibrium coefficients generated by the Q-learning-based approximate solving algorithm all converge to 1.00, and still have the required convergence in the different traffic parameters.

Globally, sustainable procurement is seen as a crucial component of public sector sustainability initiatives. This research investigates the internal and external barriers to the implementation of sustainable procurement in China’s public sector. Primary data for this research were gathered using survey techniques from 287 respondents who were procurement officials at higher education institutions that are part of the public sector. Twelve hypotheses were developed based on the conceptual model and literature review and evaluated using SEM-AMOS in order to look at the correlations between the variables. The study’s findings demonstrate that employee competency, employee motivation, training programs, financial aspects, management commitment, government rules and regulations, unavailability of green products, supplier capacity, and third-party pressure statistically influence the sustainability of public procurement. At the same time, green practices, the ineffectiveness of green products, and prices of green items had statistically no significant influence on sustainability in public procurement. This is a crucial effort to identify the factors that influence sustainable purchasing in China’s public colleges. This study draws interest from stakeholders and adds to the scant body of knowledge on sustainability in developing nations. In addition, this research is crucial for creating a roadmap for China’s long-term sustainable development in the area of procurement.

Abstract In order to further promote the development of the new energy vehicle industry, Parallel Management regulation for corporate average fuel consumption and new energy vehicle credits for passenger vehicles (dual-credit scheme) have been proposed by Ministry of Industry and Information Technology in September 2017. This study attempted to investigate the impact of dual-credit scheme on the penetration of new energy vehicles and the short-term strategies of the automotive industry. For this purpose, a market analysis model is proposed based on game theory and the credit market equilibrium to quantify the effects of the credit trading mechanism. Four categories of automakers are considered. The obtained results show that: (i) The dual-credit scheme is indeed an effective policy solution that enables the expansion of the volume of NEV market. (ii) The dual-credit scheme can accelerate the elimination of outdated technologies with lower driving mileage, and it can also promote the adoption of technologies with longer driving mileage. (iii) The dual-credit scheme allows all automakers to achieve their targets in a market efficient manner.