A Bibliometric Review on Outcome-Based Learning for Graduate Employability: Mapping the Research Front

2021 ◽  
pp. 002205742110164
Author(s):  
Mohammad Zahir Raihan ◽  
Md. Abul Kalam Azad

The outcome-based learning for graduate employability in higher education has been an important research topic among the policymakers, academicians, and researchers over the years. Yet, no bibliometric review on this topic has been published. This study, for the first time, examines bibliometric analysis on this topic examining current research trend and future research agenda. The bibliometrix package in R software and VOSviewer software are used for visualization and interpretation of results. A content analysis is performed to manually examine the bibliometric results.

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Saiyara Shabbir Ikra ◽  
Md. Azizur Rahman ◽  
Peter Wanke ◽  
Md. Abul Kalam Azad

Purpose This paper aims to present a citation-based bibliometric review of Islamic banking efficiency literature from 2000 until August 2020 for analyzing the content of the literature and mapping future research directions. Design/methodology/approach Using bibliometric citation analysis, this study reviews and examines a total of 278 documents from Web of Science (WoS) indexed sources coupled with content analysis. Findings The results identified that the growth of Islamic banking efficiency literature has begun to rise since 2008 with an annual growth rate of 12.5% while identifying the most influential aspects of Islamic banking efficiency literature in terms of topics, papers, authors and keywords. The outcomes of science mapping (i.e. co-citation network, bibliometric coupling and co-authorship network) reveal that there are three underlying research streams in Islamic banking efficiency literature: growth of Islamic banking efficiency literature, stability and genuineness of Islamic banking operations and the methods in Islamic banking efficiency literature. Originality/value To the best of the knowledge, this is the first bibliometric review paper on Islamic banking efficiency literature. It successfully unveils the scientific mapping of published WoS documents with a future research agenda also proposed based on the review outcomes. These findings can be used in efficiency-related initiatives by managers or regulators for managing Islamic bank operations worldwide.


2017 ◽  
Vol 24 (5) ◽  
pp. 312-326 ◽  
Author(s):  
Nhien Nguyen ◽  
Jens Ørding Hansen

Purpose The purpose of this paper is to revive interest in the question, never definitively answered, which Stephen Watson raised in the title of his 2000 paper, “Why is it that management academics rarely advise on their own institutions?” It is argued that finding the answer to the question would not only be interesting in and of itself but could also lead to valuable contributions to the theory of the learning organization. Design/methodology/approach Inspired by Watson’s original paper and a new interview the authors made with him in 2017, this paper discusses the possible explanations for why management academics rarely advise on their own institutions and sets out an agenda for future research. Findings The authors suggest a simple three-way categorization of the nine hypotheses identified by Watson (2000), grouping them by the themes of management knowledge, motivation of higher education institution (HEI) managers and incentives for academics to engage. This study proposes an integrated framework to illustrate how these three categories of hypotheses are connected and can jointly explain the observed phenomenon. The study provides theoretical underpinnings for the most promising hypotheses and suggests an agenda for future research, emphasizing the potential of such research to contribute to the learning organization field. Research limitations/implications This paper should not be interpreted primarily as an attempt to provide support for any particular hypothesis. Rather, the principal aim of the authors is to sketch out a future research agenda and inspire others to contribute empirical evidence that can help shed light on the paradox of why management academics rarely advise on their own institutions. Originality/value The theoretical contribution of this paper is to revive the important research topic of “why management academics do not seem to be widely engaged in advising university managers” (Watson, 2000, p. 99) and to introduce a research agenda that can help realize the potential contribution of this topic to the learning organization literature. The practical contribution is to re-address the difficulties of HEIs in becoming full-fledged “learning organizations” and to suggest that HEI managers re-examine the possibilities for using hitherto untapped internal expertise.


2021 ◽  
Vol 26 (1) ◽  
pp. 25-46
Author(s):  
Shahzad Imran Ahmed ◽  
Alserhan Atallah Fahed ◽  
Farrukh Muhammad ◽  
Yasmin Nilufar ◽  
Lee Jason Wai Chow

In commemoration of the 25th anniversary of the Asian Academy of Management Journal (AAMJ), this study presents a general overview on the publication structure of the journal from 1996 to 2019. The study identifies the most productive authors, universities, and countries mainly using the Scopus database. It also enlists the most cited documents of the journal. Besides, the study graphically maps the intellectual structure based on co-citation, bibliographic coupling, and co-occurrence of authors’ keywords. The findings show the prominent Asian profile of the journal where most of the contributions come from the Asian countries and the universities. Specifically, authors from Malaysia and India remain the most frequent contributors. These findings provide readers of AAMJ with an objective overview of the trends of the journal. The study may be useful for future contributors as it provides inputs for the future research agenda.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Łukasz Kryszak ◽  
Katarzyna Świerczyńska ◽  
Jakub Staniszewski

PurposeTotal factor productivity (TFP) has become a prominent concept in agriculture economics and policy over the last three decades. The main aim of this paper is to obtain a detailed picture of the field via bibliometric analysis to identify research streams and future research agenda.Design/methodology/approachThe data sample consists of 472 papers in several bibliometric exercises. Citation and collaboration structure analyses are employed to identify most important authors and journals and track the interconnections between main authors and institutions. Next, content analysis based on bibliographic coupling is conducted to identify main research streams in TFP.FindingsThree research streams in agricultural TFP research were distinguished: TFP growth in developing countries in the context of policy reforms (1), TFP in the context of new challenges in agriculture (2) and finally, non-parametric TFP decomposition based on secondary data (3).Originality/valueThis research indicates agenda of future TFP research, in particular broadening the concept of TFP to the problems of policy, environment and technology in emerging countries. It provides description of the current state of the art in the agricultural TFP literature and can serve as a “guide” to the field.


Author(s):  
Jingxiao Zhang ◽  
Zhiyue Zhang ◽  
Pablo Ballesteros-Pérez ◽  
Martin Skitmore ◽  
Guoliang Yang ◽  
...  

2020 ◽  
Vol 46 (6) ◽  
pp. 1092-1120 ◽  
Author(s):  
Seok-Woo Kwon ◽  
Emanuela Rondi ◽  
Daniel Z. Levin ◽  
Alfredo De Massis ◽  
Daniel J. Brass

Network brokerage research has grown rapidly in recent decades, spanning the boundaries of multiple social science disciplines as well as diverse research areas within management. Accordingly, we take stock of the literature on network brokerage and provide guidance on ways to move this burgeoning research area forward. We provide a comprehensive review of this literature, including crucial dimensions of the concept itself in terms of brokerage structure and behavior, a set of key categories of factors surrounding the brokerage concept (antecedents, outcomes, and moderators), and an overview of brokerage dynamics over time. We use these dimensions and categories to depict network brokerage’s theoretical and empirical underpinnings as well as evaluate prior research efforts. In so doing, we offer a means to summarize and synthesize this large, interdisciplinary literature, identify important research gaps, and offer promising directions for future research.


2020 ◽  
Vol 5 (2) ◽  
pp. 1-2
Author(s):  
Ji-Dong Gu ◽  

Identification and prediction of the current ongoing and future research trends are critically important to research scientists to be on track of the significantly important topics and also ahead of the others if all possible. Such information can be extrapolated by mining the existing data available from different databases to delineate the important research topics that many are working on and also the emerging ones that attract attention. Because of the readily availability of online published articles in Open Access mode and instant information in real time on viewing number, read and citations, a simple summary of the papers published in this journal over the past 4 years indicated clearly the most viewed research articles and topics are in line with the main stream information available, namely novel dehalogenase, thermophilic organisms and biotechnological application in bioleaching, souring inhibition in oil reservoirs, and the current public interest on plastics. This information can be used in refining one’s specific research to target for popularity and visibility.


1996 ◽  
Vol 11 (1) ◽  
pp. 1-25 ◽  
Author(s):  
Cis Schut ◽  
Bert Bredeweg

AbstractIn qualitative reasoning research, much effort has been spent on developing representation and reasoning formalisms. Only recently, the process of constructing models in terms of these formalisms has been recognised as an important research topic of its own. Approaches addressing this topic are examined in this review. For this purpose a general model of the task of constructing qualitative models is developed that serves as a frame of reference in considering these approaches. Two categories of approaches are identified: model composition and model induction approaches. The former compose a model from predefined partial models and the latter infer a model from behavioural data. Similarities and differences between the approaches are discussed using the general task model as a reference. It appears that the majority of approaches focus on automating model construction entirely. Assessing and debugging a model in cooperation with a modeller is identified as an important topic for future research


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