Automated content analysis of cultural Diversity Perspectives in Annual Reports (DivPAR): Development, validation, and future research agenda.

Author(s):  
Joep Hofhuis ◽  
Pytrik Schafraad ◽  
Damian Trilling ◽  
Nastasia Luca ◽  
Bastiaan van Manen
Author(s):  
Arum Prasasti ◽  
Della Ayu Zonna Lia ◽  
Karunia Putri Nuari

COVID-19 has changed the way we live to the extent of many choices in our lives. Physical distancing measurement that took place months, followed by restriction to travel, to reduce mobility, has been gradually implemented by the government of Indonesia. The e-wallet transaction by volume during the pandemic accounts for 1,7 million times with 67 total users in Indonesia. This study is comprehensive on previous research on 2020 with a smaller sample. This research is aimed to find out 1) the usage intensity of e-wallet amongst them and 2) to understand the underlying factors of using such e-wallet. The data is collected by interviewing 100 students in Universitas Negeri Malang, Indonesia. The data was then analyzed using NVIVO and interpreted using content analysis to reach the objective of this research. It is found out that 1) undergraduate students use it quite frequently, and 2) three key factors as the determining factors, namely practicality efficiency, and discount. This research aims to contribute to the digital payment literature and future research agenda on e-wallet amongst undergraduate students during pandemic and post-pandemic.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yusra Qamar ◽  
Taab Ahmad Samad

PurposeThis paper aims to identify the current research trends and set the future research agenda in the area of human resource (HR) analytics by an extensive review of the existing literature. The paper aims to capture state of the art and develop an exhaustive understanding of the theoretical foundations, concepts and recent developments in the area.Design/methodology/approachA portfolio of 125 articles collected from the Scopus database was systematically analyzed using a two-tier method. First, the evolution, current state of the literature and research clusters are identified using bibliometric techniques. Finally, using content analysis, the research clusters are studied to develop the future research agenda.FindingsBased on the bibliometric analysis, network analysis and content analysis techniques, this study provides a comprehensive review of the existing literature. The study also highlights future research themes by identifying knowledge gaps based on content analysis of research clusters.Research limitations/implicationsThe evolution and the current state of the HR analytics literature are presented. Some specific research questions are also provided to help future research.Originality/valueThis study enriches the literature of HR analytics by integrating bibliometric analysis and content analysis to develop a more systematic and exhaustive understanding of the research area. The findings of this study may assist fellow researchers in furthering their research in the identified research clusters.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Deepa Jain ◽  
Manoj Kumar Dash ◽  
Keshav Singh Thakur

PurposeThe purpose of present study is to identify influential aspects of published literature, research streams and future research questions to set forth future research agenda based on comprehensive literature review using bibliometric and content analysis.Design/methodology/approachThe study analyzed 285 documents from the international Scopus database using bibliometric analysis and content analysis. VOSviewer software is used for bibliometric analysis.FindingsThe study identified influential aspects of published literature; identified five significant research streams: (1) Demonetization and financial system, (2) Demonetization and financial technology, (3) Demonetization and financial market, (4) Demonetization and digital payment system and (5) Demonetization and governance and proposed 27 key future research questions to develop future research agenda.Practical implicationsThe present study makes significant contribution to the literature by providing a framework for future research. The framework provides opportunities to future researchers to explore the web of relations among five identified research streams as future research agenda.Originality/valueThe present work is unique in its way of contribution, as to the best of researchers' knowledge no work was witnessed in published literature to cover demonetization in a detailed and comprehensive manner. The present study fills this gap by conducting bibliometric analysis and content analysis. The study proposed conceptual framework for demonetization characterization to understand the demonetization literature well; and also proposed framework for future researcher to be explored further.


2019 ◽  
Vol 50 (5-6) ◽  
pp. 292-304 ◽  
Author(s):  
Mario Wenzel ◽  
Marina Lind ◽  
Zarah Rowland ◽  
Daniela Zahn ◽  
Thomas Kubiak

Abstract. Evidence on the existence of the ego depletion phenomena as well as the size of the effects and potential moderators and mediators are ambiguous. Building on a crossover design that enables superior statistical power within a single study, we investigated the robustness of the ego depletion effect between and within subjects and moderating and mediating influences of the ego depletion manipulation checks. Our results, based on a sample of 187 participants, demonstrated that (a) the between- and within-subject ego depletion effects only had negligible effect sizes and that there was (b) large interindividual variability that (c) could not be explained by differences in ego depletion manipulation checks. We discuss the implications of these results and outline a future research agenda.


2021 ◽  
Vol 54 (3) ◽  
pp. 1-28
Author(s):  
Jun Huang ◽  
Debiao He ◽  
Mohammad S. Obaidat ◽  
Pandi Vijayakumar ◽  
Min Luo ◽  
...  

Voting is a formal expression of opinion or choice, either positive or negative, made by an individual or a group of individuals. However, conventional voting systems tend to be centralized, which are known to suffer from security and efficiency limitations. Hence, there has been a trend of moving to decentralized voting systems, such as those based on blockchain. The latter is a decentralized digital ledger in a peer-to-peer network, where a copy of the append-only ledger of digitally signed and encrypted transactions is maintained by each participant. Therefore, in this article, we perform a comprehensive review of blockchain-based voting systems and classify them based on a number of features (e.g., the types of blockchain used, the consensus approaches used, and the scale of participants). By systematically analyzing and comparing the different blockchain-based voting systems, we also identify a number of limitations and research opportunities. Hopefully, this survey will provide an in-depth insight into the potential utility of blockchain in voting systems and device future research agenda.


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