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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.

This study aims to provide an ontology based Baysian network for clinical specialty supporting. As a knowledge base, ontology plays an essential role in domain applications especially in expert systems. Interactive question answering systems are suitable for personal domain consulting and recommended for real-time usage. Clinical specialty supporting for dispatching patients can assist hospitals to locate desired treatment departments for individuals relevant to their syndromes and disease efficiently and effectively. By referring to interactive question answering systems, individuals can understand how to alleviate time and medical resource wasting according to recommendations from medical ontology-based systems.

This work presents an ontology based on clinical specialty supporting using an interactive question answering system to achieve this aim. The ontology incorporates close temporal associations between words in input query to represent word co-occurrence relationships in concept space. The patterns defined in lexicon chain mechanism are further extracted from the query words to infer related concepts for treatment departments to retrieve information.

The precision and recall rates are considered as the criteria for model optimization. Finally, the inference-based interactive question answering system using natural language interface is adopted for clinical specialty supporting, and indicates its superiority in information retrieval over traditional approaches.

From the observed experimental results, we find the proposed method is useful in practice especially in treatment department decision supporting using metrics precision and recall rates. The interactive interface using natural language dialogue attracts the users’ attention and obtains a good score in mean opinion score measure.

The purpose of this paper is to examine how customer orientation affects frontline service workers’ deep acting and to what extent the effect is moderated by the severity of dysfunctional customer behavior (DCB). Service organizations usually want their employees to demonstrate sincere emotions during customer encounters.

The study employed a mixed method design using measured variables (e.g. customer orientation) and a scenario-based manipulated variable (i.e. DCB severity). Data from 237 service workers were used to investigate the theoretical model.

Results showed that perspective taking and emotional sensitivity mediate the positive effect of customer orientation on deep acting. Furthermore, the influence of emotional sensitivity on deep acting is positive when DCB is less severe, but becomes non-significant when DCB becomes severe.

Because the DCB severity is manipulated as a single event, future research can examine its influence based on employees’ experiences. Also, future studies may investigate other mechanisms to explain customer orientation’s effects on deep acting.

This paper provides service organizations an understanding of the key roles of emotional sensitivity and perspective taking in driving deep acting as well as the importance of monitoring DCB severity.

The study is one of the first in marketing to examine the different influences of DCB severity on important employee outcomes. This study also identifies two important mediators to explain how customer orientation drives deep acting.

The purpose of this study is two-fold: (1) identify shifts in prioritization of corporate social responsibility (CSR) issues and (2) identify the CSR issues in which companies are currently involved, as indicated in their website communications. Corporate communications are also examined for possible variations of CSR focus between manufacturers, retailers and service firms.

In order to identify the CSR issues in which companies are currently involved and detect any shifts, a content analysis was conducted of the 2021 Fortune 100 company websites, specifically cataloging CSR communications. This data was compared with CSR communications on Fortune 100 company websites in 2015. CSR issues are also examined within each industry categorization: manufacturing, retail and service.

Findings indicate that companies have reduced the number of CSR issues prioritized in their website communications. In 2015, companies gave prominence to an average of seven CSR issues on their websites, today the average is three CSR issues. Today, the CSR issues prioritized most commonly are diversity and sustainability. However, these issues are prioritized by only half of the companies. Previously, the vast majority of Fortune 100 companies prioritized the same top issues. That is not the case today. This shift may suggest that companies are narrowing their focus to fewer CSR issues, perhaps those that align with company goals.

This study provides information to keep company executives and academicians abreast of prominent CSR issues and terminology found in the marketplace. As executives make choices about committing resources to social issues, knowledge of what the Fortune 100 is doing can help in that decision-making process.

This study aims to determine the extent to which the use of coordinating conjunctions enhances or impairs definitional clarity.

In two studies, a sample of 736 construct definitions from the Journal of Marketing, Journal of Marketing Research and Journal of Consumer Research over a 30-year period was judged for ambiguity and vagueness by both academic and lay judges.

The authors demonstrate that constructing definitions using both “and” and “or” increases the ambiguity and vagueness of the construct’s meaning. The most frequently used conjunction is “and” which appeared in 42 per cent of the definitions. A significant percentage (26 per cent) contain the conjunction “or.”

A framework for understanding alternative interpretations of “and” or “or” is developed. Five recommendations are proposed for evaluating the use of “and” and “or” in construct definitions. Theorists in all academic fields should not use both “and” and “or” in the same construct definition.

A five-step process is proposed for evaluating the use of “and” and “or” in construct definitions. Theorists should not use both “and” and “or” in the same construct definition.

This is the first exploration of how specific wording patterns used in construct definitions in academic research affect the clarity of the definition.

This work proposes a research model that explains investment intention in online peer-to-peer (P2P) lending based on the persuasion theory of elaboration likelihood model (ELM). In the proposed model, investment intention indirectly relates to source credibility and argument quality through the mediation of trust. At the same time, the study hypothetically moderates the relationships between source credibility and trust and between argument quality and trust by financial self-efficacy and risk preference.

This research presents an experiment to empirically validate its theoretical rationales. The hypotheses herein were tested using data from working professionals at a large science park in Taiwan. A total of 500 participants took part in the experiment in which the scenario of a pseudo-online P2P lending intermediary was first presented for their perusal, and then questionnaires based on the scenario were provided for the participants to fill out.

Trust cannot be improved over night without making great efforts on source credibility and argument quality in the long run. Online marketers should study market segmentations to decide what appropriate elements and promises should be provided in advertisements in order to improve their source credibility. Moreover, how online intermediaries formulate convincing messages and Polish their delivery communication skills should be improved so as to increase argument quality.

First, the theoretical conceptualization of source credibility and argument quality built upon the ELM not only broadens the boundary of virtual communities beyond the literature that considers source credibility and argument quality as important determinants, but also shows the practical status quo of trust as a critical mediator. Second, this research incorporates financial self-efficacy (based on social cognitive theory) and risk preference (based on economic theory) as important moderators in the development of trust. For that reason, customer education initiatives that influence financial self-efficacy and risk preference are discussed in greater detail.

This paper aims to explore the role of international quality assurance and accreditation on higher education quality improvement and competitiveness, as well as assessing the associated benefits and challenges in the Asian context with reference to Taiwan.

The paper used a qualitative approach to examine the case study of Southern Taiwan University of Science and Technology (STUST) accredited by the Association to Advance Collegiate Schools of Business (AACSB). The paper collected survey responses from service providers (i.e. STUST faculty and AACSB) and focus group discussions with students to bridge the perception-expectation gap.

The qualitative results highlighted 10 key success factors and performance indicators which were later used to build a balanced scorecard (BSC) strategy for STUST quality improvement and competitiveness. Findings show that education quality assurance (via AACSB process) can directly influence the competitive advantage (i.e. for AACSB, STUST and Students) or indirectly via education quality enhancement. The results from faculty and students are consistent with the value co-creation trend to achieve continuous quality improvement more effectively and efficiently.

This research paper is unique as the first qualitative in-depth study to discuss assurance related factors that positively or negatively affect competitiveness and quality improvement for Higher Education Institutions (HEIs) in Asia and Taiwan. The paper also contributed by designing a BSC framework and strategy-map applicable to HEIs.

The purpose of this paper is to develop a chemotherapy scheduling template that accounts for nurse resource availability and patient treatment needs to alleviate the mid-day patient load and provide quality services for patients.

Owing to treatment complexity in chemotherapy administration, nurses are required at the beginning, end and during treatment. When nurses are not available to continue treatment, the service is compromised, and the resource constraint is violated, which leads to inevitable delay that risks service quality. Consequently, an optimization method is used to create a scheduling template that minimizes the violation between resource assignment and treatment requirements, while leveling patient load throughout a day. A case study from a typical clinic day is presented to understand current scheduling issues, describe nursing resource constraints, and develop a constraint-based optimization model and leveling algorithm for the final template.

The approach is expected to reduce the variation in the system by 24 percent and result in five fewer chemo chairs used during peak hours. Adjusting staffing levels could further reduce resource constraint violations and more savings on chair occupancy. The actual implementation results indicate a 33 percent reduction on resource constraint violations and positive feedback from nursing staff for workload.

Other delays, including laboratory test, physician visit and treatment assignment, are potential research areas.

The study demonstrates significant improvement in mid-day patient load and meeting treatment needs using optimization with a unique objective.

Dysfunctional customer behavior (DCB) is costly and problematic for organizations. This research seeks to understand how DCB spreads and how businesses can effectively deal with it through employee intervention.

This research conducted a survey study and an experimental study to examine the proposed model.

Through two studies, we discovered that when an employee intervenes to stop DCB and is perceived as having high coping ability, observing customers learn from the employee’s action, resulting in reduced empathy toward the dysfunctional customer and diminished intentions to engage in DCB. Conversely, if they perceive the employee as having low coping ability, the intervention backfires, enhancing the observers’ empathy toward the dysfunctional customer and consequently leading them to engage in more DCB.

This research unveils an additional mechanism that explains the spread of DCB. It also contributes to the employee intervention literature by shedding light on when employee intervention can backfire. Further, our application of social learning theory along with the person-situation interaction literature offers a fresh perspective in explaining service exchanges.