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Taiwan serves as a case study to investigate the association between the expansion and reform of higher education and the growth of science production. More specifically, what driving forces facilitated the growth of science production in different types of Taiwanese universities and other sectors, from 1980 to 2011.

The contribution charts differential contributions to overall production. Taiwanese data from Thomson Reuters’ Science Citation Index Expanded (SCIE) is analyzed to show the expansion of the higher education system and its relationship to the production of science. The author uses sociological organization theories to facilitate our understanding of how and why the landscape of science production changed.

Results show that the growth of science production is associated with processes of isomorphism and competition within the higher education system. Findings also suggest that universities quickly seized upon external opportunities and turned themselves into what is known as the “knowledge conglomerate.” Unique organizational features bolster universities’ position as the driving force behind advancing national innovation.

This study extends previous research by examining multiple sectors of higher education, using longitudinal and recent data, and highlighting themes that have been ignored or overlooked, such as competition and collaboration among universities and industry partners.

Schooling expansion is typically operationalized as the proportion of the population attending and the number of years attained; however, expansion can also be examined through new fields of study. Early childhood education entered the university as occupational training and has grown into a legitimate field of study. For example, an analysis of the expansion of early childhood papers and topics in scientific journal articles shows a slow steady rise before a dramatic increase in the 1956–2021 time period. The expansion of early childhood education as a field has been synergistic with the process of academization. Training in the occupation of early childhood education started first in its country of origin and then moved to independent training programs and normal schools in the United States before landing in four-year institutions that include everything from small colleges to large universities.

Advanced education is often thought to respond to the demands of the economy, market forces create new occupations, and then universities respond with new degrees and curricula aimed at training future workers with specific new skills. Presented here is comparative research on an underappreciated, yet growing, concurrent alternative process: universities, with their global growth in numbers and enrollments, in concert with expanding research capacity, create and privilege knowledge and skills, legitimate new degrees that then become monetized and even required in private and public sectors of economies. A process referred to as academization of occupations has far-reaching implications for understanding the transformation of capitalism, new dimensions of social inequality, and resulting stratification among occupations. Academization is also eclipsing the more limited professionalization processes in occupations. Additionally, it fuels further expansion of advanced education and contributes to a new culture of work in the 21st century. Commissioned detailed German and US case studies of the university origins and influence on workplace consequences of seven selected occupations and associated knowledge, skills, and degrees investigate the academization process. And to demonstrate how universal this could become, the cases contrast the more open and less-restrictive education and occupation system in the US with the centralized and state-controlled education system in Germany. With expected variation, both economies and their occupational systems show evidence of robust academization. Importantly too is evidence of academic transformations of understandings about approaches to job tasks and use of authoritative knowledge in occupational activities.

This chapter provides an overview of the findings and chapters of a thematic volume in the International Perspectives on Education and Society (IPES) series. It describes the common dataset and methods used by an international research team.

The chapter synthesizes the results of a series of country-level case studies and cross-national and regional comparisons on the growth of scientific research from 1900 until 2011. Additionally, the chapter provides a quantitative analysis of global trends in scientific, peer-reviewed publishing over the same period.

The introduction identifies common themes that emerged across the case studies examined in-depth during the multi-year research project Science Productivity, Higher Education, Research and Development and the Knowledge Society (SPHERE). First, universities have long been and are increasingly the primary organizations in science production around the globe. Second, the chapters describe in-country and cross-country patterns of competition and collaboration in scientific publications. Third, the chapters describe the national policy environments and institutionalized organizational forms that foster scientific research.

The introduction reviews selected findings and limitations of previous bibliometric studies and explains that the chapters in the volume address these limitations by applying neo-institutional theoretical frameworks to analyze bibliometric data over an extensive period.

Describes how a statistical Taguchi approach and a backpropagation neural network model were devised to evaluate the effect of various parameters and identify the optimal parameter setup values in a gas‐assisted injection moulding process. In applying the Taguchi approach, an L18 orthogonal array was employed to collect the observations, and the same collected data sets, with two additional inputs, were utilized to construct a neural network model to ascertain whether utilizing such a neural network would provide an improved generalization capability over a statistical method. The effect of the learning rate and the number of hidden nodes on the efficiency of the neural network learning algorithm was extensively studied to identify what provides the best forecasting of performance measure. In addition, to verify the generalization capability of the neural model, eight different parameter setups, which had not been included in the full factorial design, were constructed for network testing. The results revealed that the network is more efficient in identifying the real optimal parameter setup.

The purpose of this study is to explore the relationships among consumers’ environmental value, low-carbon knowledge, perceived value of green hotels and behavioral intention to stay in green hotels as well as willingness to cooperate with green hotels’ environmentally friendly practices.

Structural equation modeling and indirect effect estimation through bootstrapping technique were performed using 415 valid questionnaires collected from customers who had green hotel stay experiences in Taiwan.

The analytical results indicate that environmental value and low-carbon knowledge positively affect perceived value of green hotels, which in turn positively affect consumers’ behavioral intention to stay in green hotels and willingness to cooperate with green hotels’ environmentally friendly practices. Perceived value of green hotels also partially mediates the effects of environmental value and low-carbon knowledge on two behavioral intention variables.

This study provides numerous valuable implications for green hotel operators to develop effective strategies to increase consumers’ perceived value of green hotels and their behavioral intention toward green hotels.

This study is among the first to test not only the main effects of environmental value and knowledge on consumer perceptions of the value of green hotels, but also the mediating effect of consumers’ perceived value of green hotels for the relationships between environmental value, environmental knowledge and two behavioral intentions toward green hotels.

To characterise the optical performance of organic multi‐mode optical waveguides integrated with printed circuit board (PCB) and to demonstrate the feasibility of 2.5 and 10 Gbps optical interconnection in board‐level, respectively.

This paper provides both qualitative and quantitative approaches for the characterization the wave guide performance, i.e. using loss measurement, optical beam profiling, ethernet verification, and eye‐diagram testing. In addition to wave guide loss measurement, the most significance part of the work reported in this paper is to evaluate optical wave guides with coupled VCSELs, by which a 3 dB coupling design budget can thus be identified. Furthermore, by artificially manipulating coupling conditions, practical concerns of EOPCB integration, including waveguide geometry, VCSEL driving power, alignment tolerance, coupling spacing, etc. are studied.

Thermal stability studies related to PCB lamination processes show the feasibility of organic waveguides integrated to traditional PCB manufacturing. For a direct VCSEL/PD coupling scheme, a 3 dB power budget is experimentally identified. For short reach optical interconnection, 10 Gbps up to 17 cm propagation on PCB can be achieved by using 50×50 μm multi‐mode organic waveguides, where a±25 μm tolerance of optical alignment is compatible to the design rules of PCB.

The value of the paper lies in its systematic approaches to identify the waveguide performance through both qualitative and quantitative indices. The correlation between geometry design, processes, coupling conditions, and optical performance of organic waveguides explored in detail. Not only is a standard eye‐diagram test used to verify the waveguide at 2.5 and 10 Gbps bandwidth, but also a prototype of optical data‐communication on giga‐ethernet is demonstrated for long term stability. Following these analytical methods, readers can understand more about the optical performance of waveguides when designing optical interconnection for high speed electro‐optical integrated PCBs.