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The purpose of this paper is to reveal the limitations of h-index in assessing research performance through citation analysis and suggest two new indexes called prime index (P-index) and value added index (V-index), which are simpler to compute than g-index and more informative. For more serious research performance evaluation, analytic hierarchy process (AHP) methodology is proposed.

The methodology adopted is to compare existing indexes for citation-based research assessment and identify their limitations, particularly the h-index, which is most commonly employed. It gives advantages of g-index over h-index and then proposes P-index which is simpler to compute than g-index but is more powerful in information content than g-index. Another V-index is proposed on a similar philosophy as P-index by considering total number of citations/author. For serious evaluation of finite candidates for awards/recognitions, a seven-criteria-based AHP is proposed. All new approaches have been illustrated by drawing raw data from Google scholar-powered website H-POP.

This paper demonstrates over-hype about use of h-index over g-index. However, it shows that newly proposed P-index is much simpler in computation than g but better than g-index. V-index is a quick way to ascertain the value added by a research scientist in multiple-authored research papers. P-index gives a value 3–4 percent higher than g and it is holistic index as it uses complete data of citations. AHP is a very powerful multi-criteria approach and it also shows g-index to be a more important factor, whereas h-index is the least important but frequently used approach. It is hoped that the findings of this paper will help in rectifying the misplaced emphasis on h-index alone.

The research focus has been to suggest new faster, better methods of research assessment. However, a detailed comparison of all existing approaches with the new approaches will call for testing these over a large number of data sets. Its limitation is that it has tested the approaches on 5 academics for illustrating AHP and 20 researchers for comparing new indexes with some of the existing indexes. All existing indexes are also not covered.

The outcomes of this research may have major practical applications for research assessment of academics/researchers and rectify the imbalance in assessment by reducing over-hype on h-index. For more serious evaluation of research performance of academics, the seven-criteria AHP approach will be more comprehensive and holistic in comparison with a single criterion citation metric. One hopes that the findings of this paper will receive much attention/debate.

Research assessment based on proposed approaches is likely to lead to greater satisfaction among those evaluated and higher confidence in the evaluation criteria.

P- and V-indexes are original. Application of AHP for multi-criteria assessment of research through citation analysis is also a new idea.

This study aims to provide an overview of bank marketing through a retrospection of the International Journal of Bank Marketing (IJBM), the leading journal for bank marketing.

This study conducts a bibliometric analysis to analyze the performance and intellectual structure of bank marketing literature curated through IJBM between 1983 and 2020.

This study sheds light on the growing influence and impact of IJBM on the field of bank marketing through six major clusters (themes): relationship marketing and service quality in banking and financial services, consumer behavior in banking and financial services, customer satisfaction and loyalty in banking and financial services, electronic or online banking and financial services, Islamic banking and financial services, and service failure and recovery in banking and financial services.

Though this study offers a state-of-the-art overview of bank marketing through the lens of IJBM, the insights remain limited to the accuracy and availability of bibliographic data of the journals from Scopus.

To the best of the authors' knowledge, this study represents the first objective assessment of bank marketing and IJBM. Thus, this study should be useful to past and prospective authors, editorial board members, editors, readers and reviewers to gain a one-stop understanding about bank marketing through the contributions of IJBM.

This study aims to measure the absolute impact of corporate citizenship actions on the operable elements of the public image by developing an adequate and parsimonious instrument.

Both qualitative and quantitative approaches are used, where initially a literature review is systematized, then related statements are created, examined and confirmed. Altogether, 296 responses have been tested at discrete points, allowing for a temporal split-up of observations, where the first 148 forms have been used for exploratory factor analysis and the remaining 148 for confirmatory factor analysis.

The results of exploratory factor analysis revealed that the proposed instrument contains 13 items under three components: corporate citizenship and public affiliation; corporate citizenship and public allegiance; and corporate citizenship and public accomplishment. Subsequently, confirmatory factor analysis findings attest to the completeness, robustness and fitness of the same.

This experiment would serve as an inducement that would bridge the theoretical and empirical gap between corporate citizenship and public image by imparting an extensive perspective.

Perhaps on account of the lack of an inclusive instrument, the holistic view of corporate citizenship has secured quite less empirical attention so far, particularly from the perception of that group of stakeholders who manifest wholeness. This study, thus by making a ground-breaking methodological endeavor with the conceptually established construct of public image, would abet in shaping a new class of “wholistic”, i.e. whole and holistic corporations.

This paper reviews 18 workplace spirituality scales developed over a period of 23 years from year 2000 to early 2023. The objective is to provide inputs which can guide future researchers in choosing an existing appropriate workplace spirituality scale and in adopting sound scale development procedures for the development of new workplace spirituality scales.

This paper outlines the need for and importance of carrying out a review of workplace spirituality scales. Thereafter, it carries out a review of each of the 18 workplace spirituality scales. It describes 10 overall limitations of the collective set of workplace spirituality scales. Finally, five future research directions are outlined.

The review indicates that most of the workplace spirituality scales have limitations associated with them. The collective set of workplace spirituality scales also has several overall limitations.

The review suggests that workplace spirituality researchers need to exercise caution in choosing an appropriate existing workplace spirituality scale for their research. The review also provides directions for the future research for developing more adequate workplace spirituality scales.

The inputs from this review will contribute to improve the practice of workplace spirituality research.

As workplace spirituality can make organizations more beneficial for employees and the society, this review's contribution to improving workplace spirituality research has an indirect social significance.

This is, to the author's knowledge, the first comprehensive review of 18 workplace spirituality scales developed over a period of 23 years from year 2000 to 2023.

The paper aims to investigate current library instruction programs to help business students make better use of library resources and improve their information. However, students’ information acquisition ability, library usage and their perception toward library user education are inevitably changing along with the rapidly evolving information landscape as well as the socio-cultural environment driven by information technologies.

For this study, 90 business students from three different majors at the Faculty of Business and Economics, the University of Hong Kong were invited to participate in the online survey for comparison.

The findings of this study suggest that the subjects, in general, recognized the importance of library user instruction. However, when the subjects encountered difficulties in information searching, they preferred to use search engines (such as Google) and seek help from their classmates.

The results of this study show that there were distinctive differences in library usage and views toward library instruction among students of three different majors. This study sheds light on the feasible actions of academic libraries to enhance library user instruction services and improve the IL skills among business students.

Although there is much research about the library instruction of academic libraries, scant research focuses on library usage and views toward library instruction of business students, especially on the comparison among different business majors.

This study has two main objectives. First, to examine the indirect effects of digital platform capability and digital resilience on digital transformation (DT) outcomes for small- and medium-sized enterprises (SMEs), and second, to investigate how digital business model maturity influences these indirect effects.

The study adopts a quantitative design and collects data through a self-reporting survey from individuals in the technological industries. The Partial Least Squares-Structural Equation Modelling (PLS-SEM) and PLS multi-group analysis examine the measurement and structural models and the significance of differences in indirect paths based on the digital business model maturity level, serving as a moderator.

The findings of this study provide valuable insights into the internationalisation of digital SMEs. They indicate that digital platform capability and resilience fully mediate, connecting digital resources to SME growth. The study also confirms the digital business model maturity’s positive and significant moderating effect on these indirect relationships.

This research contributes to the existing literature by focusing on the international outcomes of platform ecosystems in developing markets. It explores how digital platform capability and resilience support the digital transformation of SMEs, considering their vulnerability due to their small size. The study also fills a research gap by investigating the relationship between big data, digital leadership and the international growth of digital platforms. Lastly, it explores the role of digital maturity in the relationships between antecedents, determinants and outcomes of digitalisation.

Artificial Intelligence (AI) is an emerging technology and turned into a field of knowledge that has been consistently displacing technologies for a change in human life. It is applied in all spheres of life as reflected in the review of the literature section here. As applicable in the field of libraries too, this study scientifically mapped the papers on AAIL and analyze its growth, collaboration network, trending topics, or research hot spots to highlight the challenges and opportunities in adopting AI-based advancements in library systems and processes.

The study was developed with a bibliometric approach, considering a decade, 2012 to 2021 for data extraction from a premier database, Scopus. The steps followed are (1) identification, selection of keywords, and forming the search strategy with the approval of a panel of computer scientists and librarians and (2) design and development of a perfect algorithm to verify these selected keywords in title-abstract-keywords of Scopus (3) Performing data processing in some state-of-the-art bibliometric visualization tools, Biblioshiny R and VOSviewer (4) discussing the findings for practical implications of the study and limitations.

As evident from several papers, not much research has been conducted on AI applications in libraries in comparison to topics like AI applications in cancer, health, medicine, education, and agriculture. As per the Price law, the growth pattern is exponential. The total number of papers relevant to the subject is 1462 (single and multi-authored) contributed by 5400 authors with 0.271 documents per author and around 4 authors per document. Papers occurred mostly in open-access journals. The productive journal is the Journal of Chemical Information and Modelling (NP = 63) while the highly consistent and impactful is the Journal of Machine Learning Research (z-index=63.58 and CPP = 56.17). In the case of authors, J Chen (z-index=28.86 and CPP = 43.75) is the most consistent and impactful author. At the country level, the USA has recorded the highest number of papers positioned at the center of the co-authorship network but at the institutional level, China takes the 1st position. The trending topics of research are machine learning, large dataset, deep learning, high-level languages, etc. The present information system has a high potential to improve if integrated with AI technologies.

The number of scientific papers has increased over time. The evolution of themes like machine learning implicates AI as a broad field of knowledge that converges with other disciplines. The themes like large datasets imply that AI may be applied to analyze and interpret these data and support decision-making in public sector enterprises. Theme named high-level language emerged as a research hotspot which indicated that extensive research has been going on in this area to improve computer systems for facilitating the processing of data with high momentum. These implications are of high strategic worth for policymakers, library stakeholders, researchers and the government as a whole for decision-making.

The analysis of collaboration, prolific authors/journals using consistency factor and CPP, testing the relationship between consistency (z-index) and impact (h-index), using state-of-the-art network visualization and cluster analysis techniques make this study novel and differentiates it from the traditional bibliometric analysis. To the best of the author's knowledge, this work is the first attempt to comprehend the research streams and provide a holistic view of research on the application of AI in libraries. The insights obtained from this analysis are instrumental for both academics and practitioners.

This study analyses the advantages and weaknesses of using Facebook to aid the learning of Japanese as a foreign language.

A questionnaire survey was conducted to collect data from 100 Hong Kong Japanese language learners (who are generally fluent in Chinese and English), ranging from total amateur to advanced learners (Japanese Language Proficiency Test (JLPT) qualified at different levels).

The authors' results suggest that the advantages of using Facebook to help learn Japanese include: (1) serving as a free-of-charge, casual, and convenient learning platform; (2) enriching learners' knowledge beyond the language learning and (3) encouraging interactive and collaborative learning with other users for practicing the language. However, the low credibility and unstructured educational materials posted on Facebook and being easily distracted by other Facebook feeds are the major weaknesses of learning a language through Facebook. Furthermore, the authors' result shows that Facebook is especially effective for Japanese learning when learners fall into either one of the following groups: young, female, or intermediate (N2/3) learners.

Scant studies focus on the aid of learning Japanese via Facebook, especially Hong Kong learners' perceptions, or generally in the East. Therefore, this study aims to fill this research gap. The authors' findings will facilitate the students, teachers, and language institutions from Hong Kong and other countries to improve the students' effectiveness in learning and teaching Japanese.

The main objective of this paper is to illustrate an analytical view of different methods of 3D bioprinting, variations, formulations and characteristics of biomaterials. This review also aims to discover all the areas of applications and scopes of further improvement of 3D bioprinters in this era of the Fourth Industrial Revolution.

This paper reviewed a number of papers that carried evaluations of different 3D bioprinting methods with different biomaterials, using different pumps to print 3D scaffolds, living cells, tissue and organs. All the papers and articles are collected from different journals and conference papers from 2014 to 2022.

This paper briefly explains how the concept of a 3D bioprinter was developed from a 3D printer and how it affects the biomedical field and helps to recover the lack of organ donors. It also gives a clear explanation of three basic processes and different strategies of these processes and the criteria of biomaterial selection. This paper gives insights into how 3D bioprinters can be assisted with machine learning to increase their scope of application.

The chosen research approach may limit the generalizability of the research findings. As a result, researchers are encouraged to test the proposed hypotheses further.

This paper includes implications for developing 3D bioprinters, developing biomaterials and increasing the printability of 3D bioprinters.

This paper addresses an identified need by investigating how to enable 3D bioprinting performance.