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The ecosystem concept has attracted attention in information system research to explain business competition, innovation and many other emerging phenomena. Existing studies focus more on a single ecosystem type or a single ecosystem goal and pay little attention to the ecosystem’s evolution. The objective of the study is to investigate the factors that impact the evolution of the information ecosystem (IE) to gain a better understanding of strategic thinking.

The IE involves many actors, so the multi-case study approach is conducted with purposeful sampling to recruit all the significant ecosystem actors. The collected qualitative data are analyzed by coding data, exploring data relationships and structuring pattern steps; institutional theory is used as a theoretical framework.

The results demonstrate that industry practices, laws and regulations, new actors and the mimetic pressure of outsourcers drive the growth of the ecosystem. Strategy intention, cost pressure and normative pressure all contribute to the IE’s evolution.

The concept of ecosystems has attracted attention in information system research. The study investigates the factors contributing to the evolution of the IE from an institutional theory perspective. Our suggestion is that new players can find a niche in offering information technology (IT)/ information services (IS)-related solutions to survive in the ecosystem; however, they need to pay attention to the normative pressure.

The purpose of this paper is to design a low phase noise and high figure of merit, fully integrated, voltage‐controlled oscillator (VCO) which was fabricated in TSMC CMOS 0.18‐μm 1P6M process.

A differential PMOS cross‐coupled architecture VCO with the capacitive feedback technology was designed to increase the linearity of frequency tuning range and decrease the phase noise. Varactor determining the performance of tuning range is also a key component in the design of VCO. The authors adopt the accumulation‐mode MOS varactor. The output spectrum and the phase noise are measured by E5052A spectrum analyzer.

The VCO is successfully fabricated in TSMC RF CMOS 0.18um 1P6M process. The measured tuning range is from 10.875 GHz ∼ 11.1 GHz with control voltage from 0 to 1.5 V. The measured phase noise is as low as −120.42 dBc/Hz at 1 MHz offset and the high FOM is −189.5 dBc/Hz. The output spectrum is −10.51dBm with center oscillator frequency of 10.942 GHz. The core circuit without buffer consumes power of 15 mW from a 1.8 V supply voltage.

This paper shows a fully integrated CMOS LCVCO architecture using capacitive feedback technology with low phase noise and high figure of merit for OC‐192 SONET applications.

Using the Analytical Hierarchy Process, this study aims to identify organizational and market factors that prevent hoteliers from adopting greener management systems. This study first constructs a list of critical factors based on expert judgments reported in the literature and the responses from a select group of experienced managers. Then, the list is further refined by six hotel managers who consolidate the factors, which results in four categories explained by 20 items. Subsequently, this study draws from surveys on an expert panel consisting of 20 study subjects who are familiar with hotel operations. The survey results show that hoteliers’ abilities to create a greener image are the most important factor influencing the managers’ decisions to adopt environmentally friendly management schemes. Nevertheless, their motivation of adopting a green strategy seems to be associated with a marketing strategy, instead of generic environmental stewardship.

This study seeks to investigate issues transpiring in green hotels from a human resource perspective which is unlike most green-hotel studies centering on consumer behavioral subjects. It hypothesizes that the employees’ green ability consisting of environmental awareness, environmental knowledge, and environmental skill creates a positive impact on hotels’ green ability and ultimately on the overall performance of hotels. Using alumni from a tourism and hospitality program, this study collects 233 responses from a structured questionnaire survey. The findings indicate that hotel employees approximately contribute toward a fifth of the hotels’ ability to implement greener practices.

The purpose of this paper is to evaluate the effect of learning climate on customer-oriented behaviors by incorporating salespeople’s customer knowledge in the banks. It also explores the mediating role of customer knowledge between learning climate and customer-oriented behaviors.

A conceptual two-level model that links learning climate to customer-oriented behaviors was developed and tested using data collected from salespeople and customers in banks in Taiwan. Data from 444 customers involving 92 salespeople was collected via a questionnaire and analyzed using hierarchical linear modeling.

The results show that learning climate encourages salespeople to develop customer knowledge and customer-oriented behaviors, and that salespeople’s customer knowledge positively influences customer-oriented behaviors. This study also provides empirical support for the hypotheses that learning climate helps salespeople increase customer-oriented behaviors through improving salespeople’s customer knowledge.

The findings highlight the importance of enhancing learning climate and customer knowledge to enable banks to improve salespeople’s customer-oriented behaviors. This research also points to customer knowledge as mediating mechanisms that can explain the association between learning climate and customer-oriented behaviors in the sales context.

By integrating knowledge management with organizational learning research, this study evaluates the effect of learning climate on salespeople’s customer-oriented behaviors by incorporating their customer knowledge. In addition, the present study points to salespeople’s customer knowledge as one of several mediating mechanisms that explains the association between learning climate and customer-oriented behaviors.

Purpose – This chapter aims to explore the strategies used by the Hong Kong government to respond to the adult worker model and the male-breadwinner model; and to explore the views of women on the desirability of these strategies. The male-breadwinner model posits that men work full-time outside the home and women take on domestic work. The adult worker model suggests that women and men should be equally expected to participate in formal employment.

Design/methodology/approach – This chapter analyses the policy measures used by the Hong Kong government to support women in their participation in formal employment and the local work-based pension scheme (the Mandatory Provident Fund) as well as other policy measures that offer potential for enabling family care providers to accumulate resources for secure retirement. Additionally, it draws on semi-structured interviews with 30 Hong Kong young women to examine their views on the extent to which the government supports them to save pension incomes.

Findings – This study shows that the Hong Kong government uses a ‘weak action strategy’ to respond to the adult worker model and the male-breadwinner model, and that this strategy fails to meet women’s diverse preferences for their roles in the labour market and the family.

Originality/value – Based on a newly developed framework, this study examines the responses made by the government to both the male-breadwinner model and the adult worker model. It sheds new insights into possible ways of assisting women to achieve secure retirement .

This paper aims to identify ways to establish an information system to aid users to enhance the effectiveness of self-regulated learning and solve the problem of learning domain unawareness. Many libraries are spacious and with a rich collection of books, the problem a newcomer may encounter in the wide library is spatial unawareness. In addition, people new to a particular field of study often encounter the problem of learning domain unawareness.

This paper presents an overview of self-regulated learning theory first. We realize the essential principles of self-regulated learning model in the library and developed a learning system that utilizes the concept of combining mobile augmented reality (AR), indoor navigation and data mining algorithms.

The proposed NO Donkey E-learning (NODE) system utilizes AR and innovative indoor positioning technology to fulfil the goal of navigation inside a library and solve the problems of spatial and learning domain unawareness. On the one hand, the system allows peers to communicate asynchronously to create a cloud-based information sharing community; the dual-track terminal (the website and the app interfaces) in the system could provide both educational functionalities and mobility for readers. On the other hand, AR navigation function integrates the information of reading paths, the real-space locations, real-time dynamic information, book introductions and readers’ comments to help readers have access to the topic-related books efficiently.

We found that although the library provides the floor plan and signs, such passive and fixed indication may cause spatial unawareness. People need system to show the bookshelf location and dynamic direction indicators when they walk in the wide library. However, most existing library information systems only provide readers with the function of book search, including which floor the book is on, call number and check-out status. In this sense, we propose that self-regulated learning theory integrated the new innovation technology is the solution for the above issues.

The system developed in this study, while viewing the real scenes inside the library through camera lens, provides related virtual educational information services and learning paths on screen and guides the public to do systematic self-regulated learning. With the functions of the “learning topic” and “knowledge sharing”, the learning system promotes the general public to self-monitor their learning progress and to use the sharing mechanism as the system structure to solve the two main problems of spatial unawareness and domain unawareness in learning in libraries, creating a truly innovative people-centred library information system.