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Aims to measure syllable aggregation consistency of Romanized Chinese data in the title fields of bibliographic records. Also aims to verify if the term frequency distributions satisfy conventional bibliometric laws.

Uses Cooper's interindexer formula to evaluate aggregation consistency within and between two sets of Chinese bibliographic data. Compares the term frequency distributions of polysyllabic words and monosyllabic characters (for vernacular and Romanized data) with the Lotka and the generalised Zipf theoretical distributions. The fits are tested with the Kolmogorov‐Smirnov test.

Finds high internal aggregation consistency within each data set but some aggregation discrepancy between sets. Shows that word (polysyllabic) distributions satisfy Lotka's law but that character (monosyllabic) distributions do not abide by the law.

The findings are limited to only two sets of bibliographic data (for aggregation consistency analysis) and to one set of data for the frequency distribution analysis. Only two bibliometric distributions are tested. Internal consistency within each database remains fairly high. Therefore the main argument against syllable aggregation does not appear to hold true. The analysis revealed that Chinese words and characters behave differently in terms of frequency distribution but that there is no noticeable difference between vernacular and Romanized data. The distribution of Romanized characters exhibits the worst case in terms of fit to either Lotka's or Zipf's laws, which indicates that Romanized data in aggregated form appear to be a preferable option.

Provides empirical data on consistency and distribution of Romanized Chinese titles in bibliographic records.

This paper discusses the role of intelligent agents in facilitating the seeking and retrieval of information in Web‐based library environments. An overview is presented on agents and their current application in library domains to produce a generic agent‐based model for libraries to follow. The model suggests that Web‐based information seeking and retrieval in library contexts could be enhanced through a collaborating network of interface and information agents. Recent research results offer insights on the design of interface agents to support Web‐based browsing and searching. These are applied to the model in terms of the functionality required to facilitate information seeking and retrieval behaviour across library collections. Implications on library policy and digital collections surrounding the use of agents are also discussed.

Establishing the strength of a novel variable–mortgage debt as a fraction of US gross domestic product (GDP)–on forecasting capitalisation rates in both the US office and multifamily sectors.

The authors specify a vector error correction model (VECM) to the data. VECM are used to address the nonstationarity issues of financial variables while maintaining the information embedded in the levels of the data, as opposed to their differences. The cap rate series used are from Green Street Advisors and represent transaction cap rates which avoids the problem of artificial smoothness found in appraisal-based cap rates.

Using a VECM specified with the novel variable, unemployment and past cap rates contains enough information to produce more robust forecasts than the traditional variables (return expectations and risk premiums). The method is robust both in and out of sample.

This has direct implications for governmental policy, offering a path to real estate price stability and growth through mortgage access–functions largely influenced by the Fed and the quasi-federal agencies Fannie Mae and Freddie Mac. It also offers a timely alternative to interest rate-based forecasting models, which are likely to be less useful as interest rates are to be held low for the foreseeable future.

This study offers a new and highly explanatory variable to the literature while being among the only to model either (1) transactional cap rates (versus appraisal) (2) out-of-sample data (versus in-sample) (3) without the use of the traditional variables thought to be integral to cap rate modelling (return expectations and risk premiums).

From the 1960s onwards, students and members of the academic community on growing numbers of college and university campuses in the United States chose to confront the issue of apartheid by advocating divestment from corporations or financial institutions with any sort of presence in or relationship with South Africa. Student divestment advocates faced serious opposition from university administrators as well as opponents of institutional divestiture both at home and abroad. Despite these challenges, the academic community in the United States was one of the first arenas where anti-apartheid activism coalesced. This chapter examines the campaigns of students and educators who participated in the debate over divestment – to engage with the South African government and apartheid through dialogue and communication or to disengage completely from the country through withdrawal of financial investments. The anti-apartheid efforts of the academic community at Michigan State University, one of the first large research universities in the United States to confront the issue of apartheid and divestment at the university level and beyond, serves as a window to view academic activism against apartheid. The Southern Africa Liberation Committee (SALC), a consortium of students, faculty, and community members dedicated to aiding the liberation struggle of Southern Africa, led the efforts at Michigan State and collaborated with allies across Michigan and the United States. SALC focused most of its efforts on South Africa, though the organization also confronted the issue of South Africa's controversial occupation of South West Africa and the ongoing civil war in Angola.

Current research methodologies in the field of information science employ induction or deduction, ignoring the third fundamental mode of cognition, retroduction. This paper seeks to introduce the Retroductive Recognition of Absence (RRA) methodology that expands inquiry from its current inductive and deductive bases to include the intuition‐based retroduction/abduction of Charles Sanders Peirce.

In brief, RRA consists of an iterative performance, of its nine‐step heuristic, with each iteration narrowing the scope of the research, while increasing the depth of examination. The nine steps are: perceive a phenomenon leading to surprise; perform the fundamental and primary retroduction; synthesize the phenomenon into a hypothesis; bracket intuitive prejudices; immerse in the data; conceptualize; hypothesize; select the hypothesis most efficient to test; and test the hypothesis. The iterations continue until the researcher reaches a hypothesis testable by inductive or deductive methods. This RRA methodology incorporates a “definition heuristic” that defines any previously undefined concept, a heuristic based on Spradley and McCurdy's classification of definitions.

A study of Compelled Nonuse of Information (CNI) demonstrated the usefulness of RRA in the study of phenomena from an initial “hunch” to a testable hypothesis. As such, the RRA methodology decreases subjectivity and imparts rigor to the study of absent or newly emergent phenomena that have no theoretical basis, no data, and no pre‐existing, coherent body of literature.

This paper presents the philosophy and practice of the RRA methodology and the retroductive philosophical inquiry postulated by Peirce.

Personal lifestyle, work environments and work-related factors can significantly affect occupant productivity. Although many studies examine the affecting factors of occupant productivity in offices, explorations for the home-based work environment, which is designed mainly for living purposes, are still scarce. Moreover, current pandemic has made work from home a new normal for workers around the world. Therefore, it is important to identify key causal factors of occupant productivity when working from home.

This study employed descriptive analysis and regression analysis method to explore the relationship among personal lifestyle, indoor environmental quality and work-related factors toward occupant productivity. A questionnaire including a comprehensive list of key measures was designed and 189 valid responses were collected from more than 13,000 participants.

Results show that a healthy lifestyle, the perceived satisfaction of visual and acoustic environment, communication, interest in work, workload, flexible schedule and privacy positively affect occupant productivity when working from home, while coffee consumption, outside views and windows have negative effect.

Opportunities to enhance occupants' home-based work productivity include developing a healthy lifestyle by taking advantage of flexible schedule, equipping a working room at home with advanced and intelligent environment control systems, and improving communication, workload and schedule by changing the policy of companies.

The purpose of this paper is to examine the reasons given by nurses for working part-time; compare the work experiences, satisfactions, and psychological well-being of nursing staff working full-time vs part-time; and identify possible antecedents and sources of leverage to encourage part-time nurses to work full-time.

An online survey was developed, pre-tested and validated, and sent to the regional associations of nurses in Spain for distribution to their members. Data collection involved a cross-sectional design. A total of 2,094 valid questionnaires were completed online. The majority of responding nurses were located in Catalunya and Gipuzkoa. Respondents were given 15 reasons and asked to indicate the extent to which each played a role in their decision to work part-time. Job context and job content scales bearing multi items reliable measures were also employed. All scales met the criteria of reliability.

Nurses working full-time included more males, were older, had longer nursing experience (both job and unit tenure), reported higher levels of both job resources (autonomy, self-development opportunities), higher levels of positive work attitudes (job involvement, affective commitment, work engagement), more medication use, and a higher intention to quit. Full-time and part-time nursing staff were similar on marital status, levels of social support (supervisor, co-worker, spouse, and family), self-reported absenteeism, levels of burnout, levels of psychological well-being (psychosomatic symptoms, self-reported health), and potential accident propensity. Some of the more concrete results include: first, reasons for working part-time were varied with some being voluntary (going to school) and others involuntary (poor health). Second, different clusters of individuals likely exist (e.g. students, caretakers, transitioning to retirement or other career options). Third, part-time nursing staff tended to report a more negative workplace (less autonomy, fewer opportunities for self-development) and less favorable work attitudes (less engagement, job involvement, and affective commitment) than their full-time counterparts.

First, all data were collected using self-report questionnaires, raising the possibility of response set tendencies. Second, all data were collected at one point in time, making it difficult to determine cause-effect relationships. Third, although the sample was very large, it was not possible to determine its representativeness or a response rate given the data collection procedure employed. Fourth, the large sample size resulted in relatively small mean differences reaching levels of statistical significance. Fifth, many of the nurse and work/organizational outcomes were themselves significantly correlated inflating the number of statistically significant relationships reported. Finally, it is not clear to what extent the findings apply to Spain only.

Health care organizations interested in encouraging and supporting part-time nursing staff to consider working full-time may have some sources of leverage. Part-time nursing staff indicated generally lower levels of commitment involvement and engagement compared to their full-time colleagues. Part-time nursing staff in this study reported lower levels of job resources, such as autonomy and self-development opportunities. Increasing nursing staff input into decision making, increasing levels of nursing staff empowerment, increasing supervisory development that in supporting and respecting the nursing staff contributions, reducing levels of workplace incivility, and improving nursing work team functioning would make the work experiences of part-time nursing staff more meaningful and satisfying. In addition, offering more flexible work schedules and tackling the stereotype associated with working only part-time would also address factors associated with working part-time. A more long-term strategy would involve enhancing both the psychological and physical health of nursing staff through the introduction of a corporate wellness initiative. Increasing the work ability of nursing staff by improving their psychological and physical well-being addresses a common factor in the part-time work decision.

There is a call in the paper for Spanish authorities to consider implementing the “Magnet hospital program” which is one model that has been shown to improve nurse and patient outcomes and is one solution to the shortage of hospital nurses in attracting them to work on a full-time basis. The process of Magnet recognition involves implementing 14 evidence-based standards.

Experts claim that the part-time phenomenon is a growing trend and is there to stay. The authors still do not know sufficiently about the HR implications for having a large workforce of part-time employees. In this paper, a tentative attempt was made to better understand this phenomenon, especially when there is a shortage of qualified nurses in the health sector. Several promising research directions follow from this investigation. First, nurses working part-time need to be polled to identify factors that would encourage and support them should they desire to change to full-time work. Second, the authors learn more about the relatively low levels of involvement, commitment, and engagement of part-time nurses, a phenomenon that most organizations wish to minimize.

The healthcare system in the Philippines has insufficient patient and personnel management, inefficient inventory systems and disorganized medical record-keeping, contributing to unsatisfactory patient care. This occurrence calls for a centralized database, like enterprise resource planning (ERP) systems that manage healthcare systems efficiently. This study utilized partial least squares-based structural equation modeling and random forest classifier (RFC) to identify the factors influencing the adoption of ERP systems in secondary healthcare institutions.

The study proposed an extended unified theory of acceptance and use of technology framework integrated with the valence model to define behavioral intention and use behavior of ERP systems. A self-administered online survey was answered by 250 secondary healthcare stakeholders in the Philippines voluntarily.

Effort expectancy, performance expectancy and social influence result in a very high behavioral intention, leading to the use behavior of ERP systems, while facilitating conditions and innovativeness in information technology led to high significance. Price value and perceived benefits are significant factors. RFC was proven reliable in predicting the factors, with an accuracy of 96%, indicating that the proposed framework can be used in future research to examine enterprise system adoption in different healthcare facilities.

There has yet to be a study that covers ERP in the Philippines, let alone its adoption. Since the ERP system is relatively present for a certain period of time, its adoption among healthcare facilities has not been covered in the Philippines. This study is the first to decipher and understand the ERP adoption and its practical implications.

The purpose of this study is to delve into societal stigma surrounding severe mental disorders and intellectual disabilities, emphasizing gender differences and students’ proximity influence.

Involving 572 Spanish master’s students, this nonexperimental study categorizes participants based on contact frequency, using Goratu and CAEE questionnaires to measure stigma.

Gender-based stigma differences are absent; however, increased contact correlates with lower stigma levels. Notably, greater closeness is associated with more positive attitudes toward intellectual disability, resulting in diminished stigma toward severe mental disorders.

This research sheds light on the pervasive stigma faced by individuals with intellectual disabilities and severe mental disorders among postgraduate university students. Notably, the recognition of widespread stigma among individuals with higher education highlights a more significant societal problem. The findings underscore the urgent need for targeted interventions, especially in higher education contexts, to enhance understanding and reduce societal bias.

By identifying factors influencing stigma and emphasizing the importance of contact in fostering empathy, the study lays the groundwork for informed socioeducational strategies. These strategies have the potential to promote inclusivity, challenge stereotypes and contribute to the well-being and social integration of those affected by intellectual disabilities and severe mental disorders.

The findings highlight the efficacy of direct contact in reducing stigma and underscore the necessity for nuanced understanding. The study suggests fostering positive attitudes through increased contact can combat prejudice and promote social inclusion. Nevertheless, further research is crucial to explore factors influencing stigma reduction and design comprehensive socioeducational interventions addressing diverse cultural proficiencies. This study contributes valuable insights for mitigating stigma, fostering inclusivity and informing future interventions.