Publisher: CCSE   (Total: 43 journals)   [Sort by number of followers]

Showing 1 - 43 of 43 Journals sorted alphabetically
Applied Physics Research     Open Access   (Followers: 5)
Asian Culture and History     Open Access   (Followers: 9)
Asian Social Science     Open Access   (Followers: 4)
Cancer and Clinical Oncology     Open Access   (Followers: 9)
Computer and Information Science     Open Access   (Followers: 15)
Earth Science Research     Open Access   (Followers: 9)
Energy and Environment Research     Open Access   (Followers: 13)
Engineering Management Research     Open Access   (Followers: 6)
English Language and Literature Studies     Open Access   (Followers: 16)
English Language Teaching     Open Access   (Followers: 29)
Environment and Natural Resources Research     Open Access   (Followers: 5)
Environment and Pollution     Open Access   (Followers: 10)
Global J. of Health Science     Open Access   (Followers: 5, SJR: 0.416, CiteScore: 1)
Higher Education Studies     Open Access   (Followers: 58)
Intl. Business Research     Open Access   (Followers: 6)
Intl. Education Studies     Open Access   (Followers: 7)
Intl. J. of Biology     Open Access   (Followers: 1)
Intl. J. of Business and Management     Open Access   (Followers: 13)
Intl. J. of Chemistry     Open Access   (Followers: 10)
Intl. J. of Economics and Finance     Open Access   (Followers: 12)
Intl. J. of English Linguistics     Open Access   (Followers: 8)
Intl. J. of Marketing Studies     Open Access   (Followers: 12)
Intl. J. of Psychological Studies     Open Access   (Followers: 4)
Intl. J. of Statistics and Probability     Open Access   (Followers: 3)
Intl. Law Research     Open Access  
J. of Agricultural Science     Open Access   (Followers: 4)
J. of Education and Learning     Open Access   (Followers: 2)
J. of Educational and Developmental Psychology     Open Access   (Followers: 15)
J. of Food Research     Open Access   (Followers: 3)
J. of Geography and Geology     Open Access   (Followers: 12)
J. of Management and Sustainability     Open Access   (Followers: 7)
J. of Materials Science Research     Open Access   (Followers: 7)
J. of Mathematics Research     Open Access  
J. of Molecular Biology Research     Open Access   (Followers: 3)
J. of Plant Studies     Open Access   (Followers: 1)
J. of Politics and Law     Open Access   (Followers: 9)
J. of Sustainable Development     Open Access   (Followers: 24)
Mechanical Engineering Research     Open Access   (Followers: 17)
Modern Applied Science     Open Access   (Followers: 1)
Network and Communication Technologies     Open Access   (Followers: 4)
Public Administration Research     Open Access   (Followers: 1)
Review of European Studies     Open Access   (Followers: 12)
Sustainable Agriculture Research     Open Access   (Followers: 3)
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International Journal of Business and Management
Number of Followers: 13  

  This is an Open Access Journal Open Access journal
ISSN (Print) 1833-3850 - ISSN (Online) 1833-8119
Published by CCSE Homepage  [43 journals]
  • Reviewer Acknowledgements for International Journal of Business and
           Management, Vol. 17 No. 5

    • Abstract: Reviewer Acknowledgements for International Journal of Business and Management, Vol. 17 No. 5, 2022
      PubDate: Tue, 03 May 2022 03:04:04 +000
  • The German Venture Investors' Perspective on Success Factors of
           Digital Start-ups: A Mixed-Methods Approach

    • Abstract: This study examines the perspective of German venture investors on the success factors of digital start-ups at the micro- (entrepreneurial personality), macro- (contextual factors), and meso- (business model) levels and derives an integrated, evidence-based working model of entrepreneurial success. This study follows a mixed-methods design, using theory-driven semi-structured expert interviews to collect quantitative and qualitative data. Triangulation of the data ensures that the results are unbiased. The study shows that the business model and single components of the business model are the least relevant success factors of digital start-ups from the perspective of German venture capitalists. Moreover, this study has some evidence of the relevance of venture capital availability as a contextual factor. Instead, the results show, in line with the literature, that personality factors in general and team leadership skills, in particular, seem to have a significant impact on the success of digital start-ups from the perspective of German venture capitalists.
      PubDate: Thu, 07 Apr 2022 07:30:35 +000
  • The Decline of EMU Core Countries’ Portfolio Equity Investments in the
           Euro Area: The Role of Stock Return Correlations

    • Abstract: This paper investigates the effect of time-varying stock market correlations on the abrupt and persistent decrease of the reciprocal foreign investments by Euro area member countries after 2007. A strong stock market correlation reduces the diversification opportunities and it may therefore have affected the reciprocal investment by EMU countries. The 2007 represents both the outbreak of the global financial crisis and the beginning of the enlargement process. The two events have had a very different impact on the stock returns’ correlation among EMU members. While the enlargement to new countries has reduced the average returns’ correlation within the Euro area as a whole, the financial crisis and the sovereign debt crisis have led to an increase in stock returns’ correlation among old member states. We find that, among old EMU countries, core countries have been particularly affected by stock returns’ correlation. They reduced their equity investments both in foreign EMU core and in foreign EMU periphery economies after the crisis, with a particularly pronounced contraction witnessed by those country-pairs that displayed highly correlated asset returns. These results highlight the importance of the diversification motive for international portfolio investments and complement the institution-based explanation of the decline of the Euro area investments.
      PubDate: Tue, 05 Apr 2022 15:56:48 +000
  • The Impact of Training on Employee Retention: An Empirical Research on the
           Private Sector in Egypt

    • Abstract: Human resource is an important asset in any organization. Therefore, organizations need not only attract experienced and talented employees to the organization, but they also need to keep them for a long time. This paper reviews the findings and the results of researchers to find and explore the relationship between employee training and employee retention. Training is an important factor to enhance organizational performance and is considered the main strategy to influence employee retention. However, there is not sufficient investment in training practices because some managers see training as an expensive risk. Based on Human Capital Theory and Herzberg’s theory, this research closely looked at the impact of training on employee retention, because the most important employee retention strategy is employee training. The study focuses on the impact of Training and development, job performance, job satisfaction, and effective communication on employee retention, a field study was performed using a questionnaire method to collect data from employees working in the private sector in Egypt. A hierarchical multiple regression analysis was performed using IBM SPSS Statistics 28.0, and statistical significance was set at a = 0.05. The results are that training and development, and job satisfaction positively impact employee retention however job performance has no impact on employee retention, effective communications have no impact on the relationship between job performance and employee retention.
      PubDate: Tue, 05 Apr 2022 15:33:28 +000
  • Strategic Relationship Marketing Stratagems: An Impeccable Constituent for
           Sustainable Retention

    • Abstract: The purpose is to explain to university management in Ghana how to use strategic relationship marketing stratagems (SRMS) to attain sustainable retention which is viewed from a sustained competitive arena.  A hypothetical model (“Susten Model”) is provided to serve as a guide (which is yet to be subjected to intellectual scrutiny).  A cross-sectional survey was used with the help of a structured questionnaire. Data was collected from 500 respondents (senior members- both staff and non-teaching staff) and were examined through SmartPLS 3 and SPSS. The former was used to analyse the structural relationship of the variables while the latter was equally used for the descriptive analysis. The finding publicized that within the context of Ghana, universities can attain sustainable retention through the use of strategic relationship marketing stratagems if these stratagems are treasured as a strategic marketing resource. The phenomenon deserves further research because data were collected from some selected universities in these cities (Accra, Kumasi, and Cape Coast) in Ghana. Future research can expand on the database for empirical legitimacy. For retention sustainability, the SRMS advocates that management should have a conflict resolution chamber to resolve students’ protests promptly, deliver first-class educational services and institute an effective and efficient educational communication system. These stratagems are competitively enhanced when management is well trusted, accessible, students are made to feel part of university management and finally, the conflict resolution mechanism is made to be swift. It underpins and advances the frame of information concerning relationship marketing by introducing this new concept “strategic relationship marketing.”
      PubDate: Tue, 05 Apr 2022 09:10:50 +000
  • Technology Readiness among Consumers in Oman: The Case of Adopting

    • Abstract: The adoption and use of new technology have seen a rapid increase and evolution worldwide. This phenomenon is especially prevalent in developed countries. Therefore, this study examines the technology readiness in terms of e-Services adoption among Omanis. Based on the Technology readiness (TR) Index 2.0, the people’s propensity to embrace and use e-Services in Oman is explored. The TR involves understanding four-dimension optimism, innovativeness, discomfort, and insecurity, explaining the readiness and use of e-Services in this study. Using a quantitative approach, SPSS performs fundamental descriptive analysis on 322 responses. Subsequently, further assessment is conducted using the Partial Least Square (SmartPLS) software. Thus, the analysis of this study consists of two stages: the assessment of measurement and the structural model. Findings suggest a strong relationship between optimism and innovativeness towards e-service adoption among Omanis, validating the proposed framework. Additionally, discomfort and insecurity are found to have no significant effect on the adoption of e-Services. These findings were then used as a basis to provide recommendations and facilitate government and other non-government agencies responsible for e-Services.
      PubDate: Tue, 05 Apr 2022 09:07:36 +000
  • Machine Learning in Accounting & Finance: Architecture, Scope &

    • Abstract: Purpose: This paper discusses and presents the importance, scope, and limitations of machine learning in the area of financial decision-making. The purpose of the study is to find out the areas of application of machine/deep learning in the accounting and finance domain and also to identify challenges in adoption.Design/methodology/approach: The current study is qualitative review-based research, where the systematic approach to reviewing the existing body of literature has been used. This article employs a thoughtful literature review of selected articles in identified journals that were subsequently evaluated through desktop analysis. All papers were selected based on the search in Google scholar. To enhance the quality of research, a scholarly filtration technique was employed. Only papers listed and accepted by the academia were shortlisted. The second criteria were to identify the keywords in the area of interest. The final step included only papers listed in established databases like Google Scholar, SCOPUS & ABDC. Findings: The findings of the study indicate the importance of machine learning in financial decision-making and prediction. Advanced mathematical models such as unsupervised machine learning techniques have become the need of the hour to model complex non-linear relationships in financial systems, where complex business situations are resulting in the generation of 'Big Data' and 'Alternate Data'. However, there are many challenges in applying ML/DL models in these prediction models especially when the modeling in finance involves behavioral aspects of extremely dynamic customers and markets. The findings further indicate major research trends associated with machine learning in accounting and finance. Originality/value: This is a novel study in the area of accounting and financial research, which requires considerable attention for interdisciplinary research.
      PubDate: Tue, 05 Apr 2022 09:03:54 +000
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