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Purpose – Structural embeddedness of social networks within and beyond work organizations has shown its association with the innovation at work for employees from literature. Structural embeddedness includes three dimensions: the diversity, density, and trust of accessed networks. This chapter attempts to compare how structural embeddedness mechanizes on innovation at work differently for employees in hi-tech and non-hi-tech sectors.Methodology/approach – We analyzed 1,817 cases of currently employed respondents from the 2005 Taiwan national survey on social capital. All the indicators on structural embeddedness are operationalized from position-generated networks, and we performed regression models for total, hi-tech, and non-hi-tech samples.Findings – Except the universal effects of diversity on innovation at work for employees in both hi-tech and non-hi-tech sectors, density and trust of accessed networks significantly affect innovation at work only for employees in non-hi-tech sectors. There is a slight interaction effect between trust and density on innovation at workplaces. Those individuals with high-degree trust in accessed networks tend to have a lower degree of innovation while their network density is high. It implies that complementary networks seem to be more useful for applying new ideas at the workplace for non-hi-tech workers.Originality/value of chapter – This chapter contributes to the literature by presenting the importance of structural embeddedness of accessed social networks for innovation at work.

The purpose of this study is to examine the proper structure for the integrated reporting of hi-tech knowledge-based organizations (KBOs); in particular, the authors evaluate the appropriateness of the concept and elements of integrated reporting for hi-tech KBOs.

The study uses an exploratory sequential mixed-method approach, including an initial qualitative case study, then an instrument development phase (Delphi), and finally, a quantitative survey.

The resulting analysis concluded that hi-tech KBOs have the potential to prepare a simplified, integrated report. The organization overview, governance, business model, strategies and resource allocation, performance, opportunities and risks are the content elements relevant to be included in the hi-tech KBOs annual report. However, the organization’s future outlook is not confirmed to be included. Due to liability and competitive concerns, organizations do not provide targets, forecasts, projections or even scenarios.

Focus on a single country and a small sample of interviewees participated.

This paper concludes that the existing integrated reporting framework is useful for different types of organizations, but with some modifications. In addition, it analyzes how directors of Iranian hi-tech KBOs perceive and value content elements of integrated reporting.

This paper suggests that the fulfillment of corporate transparency for Iranian hi-tech KBOs can be achieved by the policymaker’s support on integrated reporting.

Iran is swiftly moving toward a knowledge-based economy, and hi-tech KBOs will become the powerhouse of the economy. It is important to understand how managers of Iranian hi-tech KBOs perceive and value integrated reporting. The previous practical studies are not focused on Iranian firms and the impacts of integrated reporting on hi-tech KBOs and its implementation and effectiveness had not been studied before.

The purpose of this paper is to examine the transfer of Shenzhen's hi‐tech industries, with particular emphasis on its motives, characteristics and influence on Shenzhen's economy and industrial upgrading.

The paper uses an empirical approach and case study methodology mainly based on a survey of 1,573 hi‐tech companies in Shenzhen, in the form of questionnaires and interview.

Hi‐tech companies moved out to other cities on a small scale, revealing an accelerating trend. Most companies moved out (or plan to move out) with the purpose of seeking low production costs or meeting the needs of resources for development. Moreover, companies with different types of ownership transfer at different levels. In general, reasonable transfer of hi‐tech industries facilitates Shenzhen's industrial upgrading; however, the government should at the same time take precautions against industry transfer on a large‐scale.

Upgrading of Shenzhen's hi‐tech industry is imperative. To meet this end, policy makers should draw up appropriate guidelines on the transfer of backward hi‐tech industries and at the same time build sound supporting environment to attract and retain advanced hi‐tech companies.

Few empirical studies have been conducted to explore industry transfer within China. By examining the motive and characteristics of transfer of hi‐tech industries in Shenzhen, a pioneering city in China, this paper contributes to our understanding of the ongoing industrial restructuring in China.

This paper presents a comprehensive study using bibliometric and social network analysis (SNA) to depict the academic community, research hotspots and the correlation between research performance and social network measurements within Library Hi Tech.

Publications from Library Hi Tech between 2010 and 2022 are reviewed and analysed through coauthorship analysis, co-occurrence analysis, SNA and the Spearman rank correlation test.

The annual number of publications in Library Hi Tech increased from 2016 to 2022, indicating that this research has gradually gained global attention. The USA and China are the most significant contributors to the relevant publications. Scholars in this field mainly engage in small-scale cooperation. Academic libraries, digital libraries, libraries, information technology and COVID-19 were hot topics during the study period. In light of the COVID-19 pandemic, there was a marked increase in research on healthcare. Academic interest in the internet of Things and social media has proliferated recently and may soon attract more attention. Spearman rank correlation analysis shows that research performance (i.e. publication count and citation count) is significantly and positively correlated with social network measurements (i.e. degree centrality, betweenness centrality, closeness centrality and eigenvector centrality) in studies of Library Hi Tech.

This paper reveals a systematic picture of the research landscape of Library Hi Tech and provides a potential guide for future research. The relationship between scientific research performance and social network measurements can be objectively identified based on statistical knowledge.

This article aims to look at the last 30 years of Library Hi Tech to identify which topics have continued and what priorities have changed.

The methodology is a review in which the author looks back at articles from each of the past decades to discuss how they represent core topics for the journal.

When Library Hi Tech first appeared 30 years ago, the key topics involved how to make our work as librarians more efficient. Today the question has become: how do we make it easier for those using our resources?

Key future issues for the library community, as well as for Library Hi Tech, include not only how to preserve digital information over long periods, but how humans interact with computers and digital resources, and how the human physical environment – in this case the library buildings – can adapt. This paper is of value in looking at the implications of these issues.

Library Hi Tech is one of the most influential journals that publish leading research in library and information science (LIS). The present study aims to understand the scholarly communication in Library Hi Tech by profiling its historic footprint, emerging trends and knowledge diffusion.

A total of 3,131 bibliographic records between 1995 and 2018 were collected from the Web of Science. Text mining, graph analysis and data visualization were used to analyze subject category assignment, domain-level citation trends, co-occurrence of keywords, keyword bursts, networks of document co-citation and landmark articles.

Findings indicated that published research in the journal was largely influenced by the psychology, education and social domain as a unidisciplinary discipline. Knowledge of the journal has been disseminated into multiple domains such as LIS, computer science and education. Dominant thematic concentrations were also identified: (1) library services in academic libraries and related to digital libraries, (2) adoption of new information technologies and (3) information-seeking behavior in these contexts. Additionally, the journal has exhibited an increased research emphasis on mixed-method user-centered studies and investigations into libraries' use of new media.

This study provides a promising approach to understand scientific trends and the intellectual growth of journals. It also helps Library Hi Tech to become more self-explanatory with a detailed bibliometric profile and to identify future directions in editorship and readership. Finally, researchers in the community can better position their studies within the emerging trends and current challenges of the journal.

The purpose of this paper is to present the knowledge structure based on the articles published in Library Hi Tech. The research hotspots are expected to be revealed through the keyword co-occurrence and social network analysis.

Data sets based on publications from Library Hi Tech covering the time period from 2006 to 2017 were extracted from Web of Science and developed as testbeds for evaluation of the CiteSpace system. Highly cited keywords were analyzed by CiteSpace which supports visual exploration with knowledge discovery in bibliographic databases.

The findings suggested that the percentage of publications in the USA, Germany, China, and Canada are high. Further, the most popular keywords identified in Library Hi Tech were: “service,” “technology,” “digital library,” “university library,” and “academic library.” Finally, four research issues were identified based on the most-cited articles in Library Hi Tech.

While keyword plays an important role in scientific research, limited studies paid attention to the keyword analysis in librarian research. The contribution of this study is to systematically explore the knowledge structure constructed by the keywords in Library Hi Tech.

The purpose of this paper is to examine the evolution of collaboration among researchers in Library Hi Tech based on the co-authorship network analysis.

The Library Hi Tech publications were retrieved from Web of Science database between 2006 and 2017. Social network analysis based on co-authorship was analyzed by using BibExcel software and a visual knowledge map was generated by Pajek. Three important social capital indicators: degree centrality, closeness centrality and betweenness centrality were calculated to indicate the co-authorship. Cohesive subgroup analysis which includes components and k-core was then applied to show the connectivity of co-authorship network of Library Hi Tech.

The results indicated that around 42 percent of the articles were written by single author, while an increasing trend of multi-authored articles suggesting the collaboration among researchers in librarian research field becomes popular. Furthermore, the social network analysis identified authorship network with three core authors – Markey, K., Fourie, I. and Li, X. Finally, six core subgroups each included six or seven tightly connected researchers were also identified.

This study contributed to the existing literature by revealing the co-authorship network in librarian research field. Key researchers in the major subgroup were identified. This is one of the limited studies that describe the collaboration network among authors from different perspectives showing a more comprehensive co-authorship network.

The purpose of this paper is to examine the possible impediments to radical innovation created by the pursuit of quality improvement in the dynamic hi‐tech sector.

First examines contributions and limitations of extant literature. Then analyzes three cases from the Japanese hi‐tech sector, dynamic random access memory chips , network equipment, and system integration, to understand the conditions under which the pursuit of quality creates impediments for radical innovation.

Identifies a number of mechanisms, beyond the existing literature, through which the quality culture of Japanese hi‐tech firms can inhibit innovation. Particular attention is paid to the risk averse culture that may be created, thereby damaging the potential to develop radical innovation. Some exploratory strategies are offered through which firms might minimize these problems.

The ways in which the quality culture of Japanese hi‐tech firms poses a challenge for innovation are explored and some exploratory views on how Japanese firms might meet this challenge are offered. Above all, the paper calls for firms to think more strategically and flexibly about the role of quality at the early stages of the product cycle for hi‐tech products.

The purpose of this paper is to investigate whether all of the risk factors were priced during the internet bubble period.

A unique hand collected dataset was used from public prospectuses for companies that issued an initial public offering during the internet bubble period. Three hypotheses were proposed: the risk factors mentioned in the prospectus are important for IPO trading and therefore affect IPO underpricing; risk factors affect the IPO deal attributes; and the number of risk factors cited by the issuing firm is affected by direct participants such as venture capitalists and investment bankers.

It was found that hi‐tech dummy played a significant role during the bubble period. Moreover, not all risk factors are regarded important, some of them are not significant at all as predicted by first hypothesis. The most striking observation is the negative economic significance of the risk factor no prior market for the traded stock. This reveals that, traders are selective in valuing risks and may value some factors as opportunities and not as risk factors. In addition, the results reveal that risk factors do affect the deal attributes as predicted by our second hypothesis. Also, the pricing of these risk factors are not different between retail and hi‐tech companies. Regarding the participants, it was found that venture capitalists and investment bankers have a significant statistical and economic effect on the number of risk factors reported in the prospectus.

The paper contributes to the literature by investigating the IPO underpricing phenomenon in the internet bubble period.