Search results

This exploratory study aims to help contribute to the understanding of online information search behaviour of PhD students from different humanities fields, with a focus on subject searching.

The methodology is based on a semi-structured interview within which the participants are asked to conduct both a controlled search task and a free search task. The sample comprises eight PhD students in several humanities disciplines at Linnaeus University, a medium-sized Swedish university from 2020.

Most humanities PhD students in the study have received training in information searching, but it has been too basic. Most rely on web search engines like Google and Google Scholar for publications' search, and university's discovery system for known-item searching. As these systems do not rely on controlled vocabularies, the participants often struggle with too many retrieved documents that are not relevant. Most only rarely or never use disciplinary bibliographic databases. The controlled search task has shown some benefits of using controlled vocabularies in the disciplinary databases, but incomplete synonym or concept coverage as well as user unfriendly search interface present hindrances.

The paper illuminates an often-forgotten but pervasive challenge of subject searching, especially for humanities researchers. It demonstrates difficulties and shows how most PhD students have missed finding an important resource in their research. It calls for the need to reconsider training in information searching and the need to make use of controlled vocabularies implemented in various search systems with usable search and browse user interfaces.

Although commitment and employability are legitimized in the current world of work, they also have a dark side that has been ignored in the extant literature. To tackle this gap, the study developed and examined a comprehensive theoretical framework including learning, motivation, commitment, employability and self-exploitation. Limited research exists that explicitly examines this relationship or explores its potential implications. The author theorizes employability as a cultural fantasy that ends up in self-exploitation.

The study concretizes Lacan's (1977; 1981 and 1988) psychoanalysis, utilizing a sample of 658 subjects from eight industries. The hypothesized relationships were examined using structural equation modeling (SEM) in AMOS.

The findings provided support for the hypothesized relationships. Employability escorts to self-exploitation. Those employees who try to remain relevant to their firms continue to engage in employability activities end up being exploited in this process.

The study provides a new roadmap to scholars of employability who wish to explore the domain further.

The theoretical knowledge from this research will inform practice. It will influence managers and policymakers in the organization as well as politicians. Although the macroaspects of the organizational environment are beyond the control of an organization, the development efforts of the organization should be real and should not estrange individuals from their true nature. The real intent should be to unite the individual with its true nature. This way, it will be real development and will empower individuals rather than exploitation.

The finding that commitment is linked to self-exploitation via employability has implications for managers and policymakers. To avoid estrangement and exploitation, the organization should focus on employee real development. To have an ideal workplace, where employees unite with their nature, the organization should invest in employees, focus on their real needs, emphasize their career prospects and constantly provide them with learning and growth opportunities. In addition to material compensation, the organization should connect people with their true spirit. An organization that is concerned with people's real needs and real development will have a pool of human capital that will create real value for the organization and society as well.

The dark side of employability has been ignored in the extant literature. Limited research exists that explicitly examines this relationship or explores its potential implications. This study is an initiative for such debate.

This conceptual paper aims to respond to the dearth of theory and mechanisms for handling the inherent ethereality, multiplicity and mutability of organisational identity and organisational image.

This study considers existing approaches to organisational identity noting the diverse understandings of the paradoxical nature of identity. The authors suggest that identity is still essentially perceived as what is core and enduring about the character of an organisation with changes of identity being viewed as occurrences effectuated by events. In contrast, the authors argue that, because of the fluid interrelationships between identity and image, organisational identity is better viewed as an unstable construct.

Departing from Bakhtin’s logic of dialogism, this study proposes that identity–image result from dialogic relationships which in turn construct a system of polyphony. This study devises a preliminary polyphonic model which has the capacity to incorporate diverse stakeholder associations and fluctuating interpretations as well as situational understandings of organisational messages.

This study’s proposed model allows to trace how organisational identity–image is continually co-constructed recursively and cyclically and to systematise the various voices that are important for an organisation’s strategic objectives.

Smart cities require data governance to articulate data sharing and use among relevant stakeholders. Given the lack of a comprehensive examination of this research topic, this study aims to review data governance publications to detect and categorize endeavors backing up data sharing in smart cities.

A systematic literature review was conducted, and 568 academic and professional sources were identified, but finally, only 10 relevant papers were selected.

Results reveal that data governance must be based on well-defined mechanisms, procedures and roles to achieve accountability and responsibility in a multi-actor environment. Moreover, data governance should be adapted to address power imbalances among all interested parties.

The main limitation is the list of sources considered for the literature review. However, this study provides a holistic overview for researchers and professionals willing to know more about smart city data sharing.

This review identifies the data governance approaches supporting data sharing in smart cities, analyzes their data dimension, enhances the state-of-the-art literature on this topic and suggests possible areas for future research.

This study aims to provides the insights on the advantages and disadvantages of international franchising and licensing from the perspectives of legal and business considerations in the Gulf Cooperation Council (GCC).

Using a quantitative research approach, the authors conducted a survey with 150 business owners and franchisees in the GCC and analyzed the data using descriptive statistics, structural equation modeling and frequency analysis.

The findings reveal that while international franchising and licensing offer significant benefits for business expansion and revenue growth, they also pose risks related to legal compliance, cultural differences and intellectual property protection. Indeed, the results of this study provide valuable insights into the advantages and disadvantages of international franchising and licensing in the GCC from both legal and business perspectives.

There is limited research on the legal and business perspectives of international franchising and licensing in the GCC. This study contributes to the literature by providing a comprehensive analysis of the legal and business perspectives of international franchising and licensing in the GCC.

The study of sustainability within universities is recognized as essential for debates and research; in the long term, the “sustainable university” concepts can contribute to sustainability from a larger perspective. This study aims to propose a conceptual model for evaluating the students’ sustainability considering their interactions with the university and the environment. The proposed model is titled Sunshine model. It is applied to students of the La Salle University, Peru.

The model combines academic performance, happiness and the ecological footprint to quantify university students’ sustainability. A structured questionnaire survey was elaborated and applied to get the raw data that feeds the three methods. The students’ average grades evaluate academic performance. Happiness is quantified by the happiness index method, and the ecological footprint is measured by the demand for food, paper, electricity, transport and built-up areas. Results are evaluated under both approaches, overall group performance and clusters.

The proposed model avoids misleading interpretations of a single indicator or discussions on sustainability that lack a conceptual model, bringing robustness in assessing students’ sustainability in universities. To have a low ecological footprint, the student needs to need up to 1 planet for their lifestyle, be considered happy with at least 0.8 (of 1) for happiness index, and have good academic performance with at least a grade of 7 (of 10) in their course. Regarding the case study, La Salle students show a high academic grade degree of 7, a high level for happiness index of 0.8 and low performance for ecological footprint by demanding 1.8 Earth planets, resulting in an “environmentally distracted” overall classification for students with 2019 data. From a cluster approach, 81% of evaluated students (n = 603) have low performance for ecological footprint, whereas 31% have low performance for indicators of recreational activities of happiness. Changing lifestyles and making more recreational activities available play crucial roles in achieving higher sustainability for the La Salle students.

The happiness assessment questionnaire can be subject to criticism, as it was created as a specific method for this type of audience based on existing questionnaires in the literature. Although it can be seen as an important approach for diagnoses, the proposed model does not consider the cause–effect aspect. The decision-maker must consider the sociocultural aspects before implementing plan actions.

University managers can better understand why university students have high or low sustainability performance and provide more effective actions toward higher levels of students’ sustainability.

The proposed model, Sunshine model, overcomes the single-criteria existing tools that access the sustainability of universities. Rather than focusing on university infrastructure, the proposed model focuses on the students and their relationship with the university.

The purpose of this study is to explore to which extent data mining research would be associated with the library and information science (LIS) discipline. This study aims to identify data mining related subject terms and topics in representative LIS scholarly publications.

A large set of bibliographic records over 38,000 was collected from a scholarly database representing the fields of LIS and the data mining, respectively. A multitude of text mining techniques were applied to investigate prevailing subject terms and research topics, such as influential term analysis and Dirichlet multinomial regression topic modeling.

The findings of this study revealed the relationship between the LIS and data mining research domains. Various data mining method terms were observed in recent LIS publications, such as machine learning, artificial intelligence and neural networks. The topic modeling result identified prevailing data mining related research topics in LIS, such as machine learning, deep learning, big data and among others. In addition, this study investigated the trends of popular topics in LIS over time in the recent decade.

This investigation is one of a few studies that empirically investigated the relationships between the LIS and data mining research domains. Multiple text mining techniques were employed to delineate to which extent the two research domains would be associated with each other based on both at the term-level and topic-level analysis. Methodologically, the study identified influential terms in each domain using multiple feature selection indices. In addition, Dirichlet multinomial regression was applied to explore LIS topics in relation to data mining.

This paper explores who among the AACSB categorization of academics conducts the scholarship of teaching and learning (SoTL) research within business schools and how AACSB-accredited business schools capture SoTL research as part of their portfolio of intellectual contributions.

This study adopts a qualitative-method research design by collecting primary data through surveys, semi-structured interviews and secondary data in policy documents focused on AACSB-accredited business schools in Canada and the United States.

The findings establish that scholarly and practice academics who possess rigorously acquired research skills due to their terminal degrees are most likely to conduct SoTL research. The results also reveal an even split among respondents regarding whether their AACSB-accredited business school captures SoTL with their journal ranking frameworks.

Based on the findings, two recommendations are offered to foster more SoTL research at AACSB-accredited schools. First, higher education leaders (e.g. business school deans) can further inculcate a culture of SoTL research at the department and institutional levels by creating communities of practice (CoPs). Second, AACSB-accredited business schools could adopt more inclusive journal ranking frameworks to capture better and incentivize SoTL research.

This is the first known study to explore how AACSB Standards 3 and 8 are implemented and operationalized regarding SoTL research. Understanding how these standards are adopted and implemented could help institutional leaders, standard setters and administrators better facilitate SoTL research.

Parents' health literacy is an important element to ensure the sound health of children. One of the major purposes of this study was to systematically collect and review the literature that identified the relationship between two variables: parents' health literacy and their child's health.

To meet the purpose, the authors searched four well-reputed research databases such as Web of Science, Scopus, Google Scholar and LISTA (Library, Information Science and Technology Abstracts) comprehensively to collect the relevant research on the topic. Except for books, various types of content from different years were used for this review. The investigators used Preferred Items for Systematic Reviews and Meta-analysis guidelines to select eligible studies for this review. The authors also assessed the quality of the reviewed research in the light of well-reputed quality guidelines shared by Boynton and Greenhalgh (2004).

The majority of the reviewed studies found a statistically significant relationship between parents' health literacy and the health of their children. Findings also identified that the majority of the reviewed literature scored from 9 to 12 on the quality assessment criteria. Results also highlighted that the majority of the reviewed research on parents' health literacy and child health has been conducted in the USA and utilized quantitative methods to conduct research on the topic under this study.

This systematic review has multiple theoretical and practical implications for parents, policymakers and researchers.

This is the first systematically collected and reviewed paper on the relationship between parents' health literacy and child health.