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Software process improvement (SPI) is a knowledge activity that is critical to the excellence of information system development. This study observes two knowledge gaps in the quest for SPI success and proposes a research model that integrates existing knowledge antecedents to address these gaps. Based on organizational learning theory and the dynamic capability view, the proposed model consolidates a firm's absorptive capacity (AC), learning ability in terms of exploration and exploitation and knowledge sharing (KS), and it examines the contextual relationships among these knowledge antecedents on the path to SPI success.

A quantitative research design is implemented to examine the model with a sample of 138 SPI-certified organizations in Taiwan and Mainland China. The partial least squares (PLS) technique is used for the data analysis.

The results reveal the following findings. First, AC triggers the effect of exploration/exploitation on SPI success. Second, KS fosters exploitation but has an insignificant influence on exploration. Third, KS can promote AC, and it serves as the sourcing mechanism for all of the knowledge antecedents. Overall, an integrative set of knowledge learning routes is presented in guiding software firms on the way to SPI success.

In addition to identification of the two knowledge gaps, this study advances the authors’ understanding by comprehending the causal associations of the four knowledge antecedents on the way to SPI success.

The purpose of this article is to investigate urban and rural differences for online activities and e‐payment behavior patterns.

This study applied the MLCA model to investigate Internet usage patterns from 11 online applications among 10,909 Taiwan residents in 25 different regions.

The results showed that online behavior patterns exhibited regional differences, as the regional segments affected the individual segments of different use patterns. For instance, the urban area comprised a higher proportion of members who were accustomed to internet applications and skilled in online shopping by using a credit card. The rural area made up a higher proportion of members who only occasionally used online services. Moreover, rural region residents used other payment methods (excluding credit cards) more often than urban region residents. As expected, users’ personal characteristics also dictated the online behavior pattern. For instance, people with higher‐level income spent relatively more money for online shopping and often used various internet applications than others.

The findings herein should help Internet service providers form an applicable guideline for developing service strategies of higher service satisfaction regarding products and users’ needs.

This study implemented a multilevel latent class model to investigate online behavior patterns that exhibited urban and rural differences, with the goal of providing service providers an understanding and mastery of their target users.

The purpose of the study is to clarify the quality of home delivery logistics services from the perspectives of customers and provide insight to aid the prioritization of service quality improvements and guide managerial strategic planning.

The study used a three-dimensional model that integrated Kano model, goal difficulty (GD) and importance–performance analysis (IPA) for investigating service quality aspects emphasized by customers and determine which attributes should be prioritized according to an enterprise's resource and capability constraints. Data were collected through questionnaires administered to the customers and managers of five primary home delivery logistics service enterprises and six small to medium-sized enterprises in Taiwan. Improving the quality of home delivery logistics services has become of increased interest for enterprises.

The three most important attributes, ranked in order of priority for improvement, were the protection of customers' personal information, delivery of products without damage and reasonable compensation standards for product damage. The study concludes that enterprises should prioritize the improvement of these attributes. Implications, detailed explanations and directions for further investigations are also proposed.

The study discusses the importance and relevant satisfaction levels of service quality attributes from the perspective of customers while also considering the limitations of companies' resources and capabilities. The results indicate that the method can be used to identify service quality attributes of home delivery logistics and formulate strategies for enhancing customer satisfaction.

The purpose of this paper is twofold: first, to analyze which policies of human resource management (HRM) contribute to exploratory learning and which to exploitation learning; and second, to determine the influence of the two types of learning on organizational performance.

The research hypotheses are tested by partial least squares with data from a sample of 100 Spanish hotels.

The results confirm that, in order of importance, selective staffing, comprehensive training and an equitable reward system lead to exploratory learning. Exploitative learning seems to be fundamentally driven by comprehensive training and an equitable reward system (but in a different way than with exploratory learning). Finally, both types of learning have a positive impact on performance.

Both exploratory and exploitative learning result from HRM practices. To maintain performance expectations managers should develop both learning types, which entails the utilization of the best HRM practices.

This study presents empirical evidence around the findings of other studies (Laursen and Foss, 2014; Minbaeva, 2013) which call for further research into whether strategic HRM configurations have positive effects on the two learning types. The results find some practices that have a positive effect in both cases, but with different intensities in their explanations. This finding reveals the need for more detailed exploration around which combinations of HRM practices, in terms of exploratory vs exploitative learning, are advisable for organizations. The study also finds that the two learning types have a positive influence on organizational performance.

The Communist revolution in China has led to the appearance in this country of increasing numbers of Chinese books in Russian translation. The Chinese names in Cyrillic transcription have presented many librarians and students with a new problem, that of identifying the Cyrillic form of a name with the customary Wade‐Giles transcription. The average cataloguer, the first to meet the problem, has two obvious lines of action, and neither is satisfactory. He can save up the names until he has a chance to consult an expert in Chinese. Apart altogether from the delay, the expert, confronted with a few isolated names, might simply reply that he could do nothing without the Chinese characters, and it is only rarely that Soviet books supply them. Alternatively, he can transliterate the Cyrillic letters according to the system in use in his library and leave the matter there for fear of making bad worse. As long as the writers are not well known, he may feel only faintly uneasy; but the appearance of Chzhou Ėn‐lai (or Čžou En‐laj) upsets his equanimity. Obviously this must be entered under Chou; and we must have Mao Tse‐tung and not Mao Tsze‐dun, Ch'en Po‐ta and not Chėn' Bo‐da. But what happens when we have another . . . We can hardly write Ch'en unless we know how to represent the remaining elements in the name; yet we are loth to write Ch'en in one name and Chėn' in another.

Social bookmarking is a system which allows users to share, organise, search and manage bookmarks of web resources. However, with the rapid growth in the production of online documents, people are facing the problem of information overload. Social bookmarking web sites offer a solution to this by providing push counts, which are counts of users’ recommendations of articles, and thus indicate the popularity and interest thereof. In this way, users can use the push counts to find popular and interesting articles. A measure of popularity-based solely on push counts, however, cannot be considered a true reflection of popularity. The paper aims to discuss these issues.

In this paper, the authors propose to derive the degree of popularity of an article by considering the reputation of the users who push the article. Moreover, the authors propose a novel personalised blog article recommendation approach which combines reputation-based group popularity with content-based filtering (CBF), for the recommendation of popular blog articles which satisfy users’ personal preferences.

The experimental results show that the proposed approach outperforms conventional CBF, item-based and user-based collaborative filtering approaches. The proposed approach considering reputation-based group popularity scores on neighbouring articles indeed can improve the recommendation quality of traditional CBF method.

The recommendation approach modifies CBF method by considering the target user's group preferences, to overcome the limitation of CBF which arises from the recommending only items similar to those the user has previously liked. Users with similar article preferences (profiles) may form a group of users with similar interests. A group's preferences may also reflect an individual's preferences. The reputation-based group preferences of the target user's group can be used to complement the target user's preferences.

Academic healthcare systems face great challenges in coordinating services across a continuum of care that spans hospital, community providers, home and chronic care facilities. The Johns Hopkins Community Health Partnership (J-CHiP) was created to improve coordination of acute, sub-acute and ambulatory care for patients, and improve the health of high-risk patients in surrounding neighborhoods. The paper aims to discuss this issue.

J-CHiP targeted adults admitted to the Johns Hopkins Hospital and Johns Hopkins Bayview Medical Center, patients discharged to participating skilled nursing facilities (SNFs), and high-risk Medicare and Medicaid patients receiving primary care in eight nearby outpatient sites. The primary drivers of the program were redesigned acute care delivery, seamless transitions of care and deployment of community care teams.

Acute care interventions included risk screening, multidisciplinary care planning, pharmacist-driven medication management, patient/family education, communication with next provider and care coordination protocols for common conditions. Transition interventions included post-discharge health plans, hand-offs and follow-up with primary care providers, Transition Guides, a patient access line and collaboration with SNFs. Community interventions involved forming multidisciplinary care coordination teams, integrated behavioral care and new partnerships with community-based organizations.

This paper offers a detailed description of the design and implementation of a complex program to improve care coordination for high-risk patients in an urban setting. The case studies feature findings from each intervention that promoted patient engagement, strengthened collaboration with community-based organizations and improved coordination of care.

This paper explores how the student movement in Taiwan transformed after the abolition of martial law. After democratization, there were three large-scale student protests, in 1990, 2008 and 2014. This paper explores the development through this period of student movement organizations, issues and interrelations between organizations and individuals.

The study of the process of transformation and development is based on an analysis of newspaper and magazine articles and books about the student movement. To provide an insider's view, magazines, statements and meeting memos written by activists are also included.

As a legacy of the student movement in the 1980s, the 1990 Wild Lily protest advocated democratization and organized a cross-school alliance. This pattern declined, however, because it proved hard to recruit participants after democratization. Instead, student activists returned to education-related issues, and the scale of student organizations remained small. The 2008 Wild Strawberry protest was carried out by autonomous, self-organized groups, which reflected the emergence of individuals as activists. Afterward, student movement organizations attempted to create multiple networks consisted of various issues and participants. These groups built solidarity by cooperating on education and political issues and became the base for the 2014 Sunflower protest.

This paper explores the rarely described historical context for the student movement between large-scale student protests in Taiwan and provides a more comprehensive understanding of the interrelation of organizations and individuals in contemporary social movements.

Building on knowledge-based view and demographic diversity theory, the purpose of this paper is to re-conceptualize knowledge heterogeneity (KH) (i.e. diversity in individual or organizational knowledge) and to explore a broader set of relationships between KH and the multidimensional (i.e. dynamics and ambidexterity) innovation.

Case studies of organizational KH and innovation ambidexterity were conducted in four representative companies with variated characteristics. Similarities in the heterogeneity-innovation relationships were identified across four very different types of companies, providing a good exploratory base for future large-scale empirical studies.

Grounding on locus-of-knowing and timing-of-knowing dimensions, this paper utilizes an inductive approach that analyzes qualitative materials to construct the essential meanings of intraorganizational KH, and to explore the influences KH brings onto the ambidextrous innovation. A four-category typology of KH is emerged. Overall, KH is categorized into four distinctive but inter-related forms: individual professional backgrounds, collective profession backgrounds, individual evolving knowledge portfolio, and collective evolving knowledge portfolio.

Building on such typology, this paper discusses propositions for the differentiated influences of different forms of KH on dynamic and ambidextrous innovations.

Whereas individual knowledge benefits independent creativity, complex collective knowledge is more critical for organizational innovation. While research has placed more emphasis on the effects of knowledge accumulation or flow, it neglects the knowledge profile and structure for innovation. The present study explores the effect of heterogeneous knowledge structure on dynamic and ambidextrous innovation.

The purpose of this paper is to explore the influence of knowledge management capability (KMC) and customer knowledge gaps (CKG) on corporate performance, as well as proposing concrete suggestions for filling CKG and enhancing corporate performance.

In order to explore on KMC, CKG, and corporate performance, the questionnaire and partial least square (PLS) techniques were used.

The results showed that KMC is the major factor for enhancing corporate performance, and suggested CKG to be a significant intervening factor between KMC and corporate performance.

This research applied a purposive sampling method and obtained a slightly inadequate number of respondents. Therefore, it is suggested that future research should apply a random sampling method to collect more responses and increase the generalizability of the findings.

Firms should apply their KMC to gather knowledge for, from and about customers to decrease CKG and enhance their relationship with customers as well as improve corporate performance.

Developing a method by which to apply KMC in order to bridge CKG and to enhance corporate performance has become a significant issue. However, a holistic picture among KMC, CKG, and corporate performance has yet to emerge. This study thus applies a questionnaire survey method to explore the influence of KMC and CKG on corporate performance. Based on the results, specific recommendations are provided for enterprises planning to enhance their corporate performance in the future.