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To Understand the Future Management: Managing through Digital Transformation

by Yavuz Tansoy Yıldırım (Volume editor)
©2021 Edited Collection 236 Pages

Summary

The book To Understand the Future Management: Managing through Digital Transformation
indicates the place of rapidly developing digitalization in business life and its
contributions to organizations. Digitalization brings significant advantages in terms of
reducing costs, saving time, accelerating internal and external communication, saving
and storing data easily. For this reason, it has become a necessity to understand the
extent of the effect of digitalization on the functions and methods that all profit and
non-profit organizations benefit while performing their management functions.

Table Of Contents

  • Cover
  • Title
  • Copyright
  • About the author
  • About the book
  • This eBook can be cited
  • Table of Contents
  • List of Figures
  • List of Tables
  • List of Contributors
  • Preface and Acknowledgments
  • Artificial Intelligence in Management (Senem NART & Yavuz Tansoy YILDIRIM)
  • Digital Leadership: The Competencies of Leaders (Managers) in the Digital Age (Tuğba ERHAN)
  • Digitalization and Stress: Further Validation of the Technostress Scale (İlksun Didem ÜLBEĞİ)
  • The Impact of Digitalization on Human Resource Management (Fatma ZEYBEK & Hatice BATMANTAŞ)
  • Artificial Intelligence Applications in Human Resource Management (Zümrüt Hatun DEMİREL)
  • Digital Public Relations as a Marketing Communication Tool: Examining Five Brands with High Interaction on Facebook (Volkan TEMİZKAN & Abdülkadir ÖZTÜRK)
  • Digital Marketing (Elif KOÇ)
  • Finance Management and Digitalization (İbrahim Tolga ÇOŞKUN)
  • Requirements of Digital Management in the Global Supply Chain: The Case of Container Logistics (Arda TOYGAR & Senem NART)
  • Digital Transformation in Logistics Activities (Emre İPEKÇİ)
  • Management and Digitalization in the Service Industry (Oğuzhan KIVRAK, Mustafa Zahid GÜRBÜZ & Aysun GÜRAN)
  • An Evaluation of the Factors Affecting Risk Management Processes in the Maritime Sector (Umut YILDIRIM & Arda TOYGAR)
  • The Path to Innovation: Discovering Intellectual Capital (Aysun KANBUR & Ibrahim A. H. MOHAMED)
  • A New Approach to Clustering the Human Development Index in Terms of Business Management Using Gaussian Mixture Models (Maruf GÖGEBAKAN & Serkan AKOĞUL)
  • International Co-movement of Stock Markets during Crisis and Non-crisis Periods (Remzi GÖK, Aviral Kumar TİWARİ & Şener İLTER)

←6 | 7→

List of Figures

İlksun Didem ÜLBEĞİ

Digitalization and Stress: Further Validation of the Technostress Scale

Figure 1. Technostress scale confirmatory factor analysis results

Fatma ZEYBEK & Hatice BATMANTAŞ

The Impact of Digitalization on Human Resource Management

Figure 1. HR 4.0 conceptual framework in the impact of digitalization

Elif KOÇ

Digital Marketing

Figure 1. Stages of web development

Figure 2. The framework of digital marketing

Figure 3. Sources of primary and secondary data

Figure 4. Digital marketing planning framework

Oğuzhan KIVRAK, Mustafa Zahid GÜRBÜZ & Aysun GÜRAN

Management and Digitalization in the Service Industry

Figure 1. Test page of the proposed integrated video conferencing application

Figure 2. UML diagram of the proposed system

Maruf GÖGEBAKAN & Serkan AKOĞUL

A New Approach to Clustering the Human Development Index in Terms of Business Management Using Gaussian Mixture Models

Figure 1. For the LEB variable: (a) BIC values based on component numbers, (b) 3-component GMM chart

Figure 2. For the EYS variable: (a) BIC values according to the number of components, (b) GMM graph with 1 component

Figure 3. For MYS: (a) BIC values based on component numbers, (b) 2-component GMM chart

Figure 4. For GNI variable: (a) BIC values based on component numbers, (b) 3-component GMM chart

Figure 5. BIC values for different types of covariance matrices for HDI data according to the number of components

Figure 6. Dispersion chart of four clusters of countries in terms of variables

←7 | 8→

Figure 7. A graph of BIC values according to the component number of the HDI score is shown in Figure 7(a) and a plot of the 3-component GMM is shown in Figure 7(b).

Figure 8. BIC values based on component numbers for HDI data

Figure 9. Scattering graph of three sets in terms of variables of countries

Remzi GÖK, Aviral Kumar TİWARİ & Şener İLTER

International Co-movement of Stock Markets during Crisis and Non-crisis Periods

Figure 1. Wavelet coherence analysis of market stock returns (CWT)

Figure 2. Wavelet coherence analysis of market stock returns (CWT)

Figure 3. Wavelet coherence analysis of market stock returns (CWT)

←8 | 9→

List of Tables

İlksun Didem ÜLBEĞİ

Digitalization and Stress: Further Validation of the Technostress Scale

Table 1. Factor loadings of the technostress scale

Table 2. Reliability analysis of the technostress scale

Table 3. Confirmatory factor analysis model fit results

Table 4. Means, standard deviations, Cronbach’s alphas, McDonald’s omegas, composite reliabilities, AVEs, and MSVs of the scales used

Table 5. Correlations of the scales used

Volkan TEMİZKAN & Abdülkadir ÖZTÜRK

Digital Public Relations as a Marketing Communication Tool: Examining Five Brands with High Interaction on Facebook

Table 1. Brands with successful Facebook accounts

Table 2. Information on the gift draw organized by brands on Facebook between 1 and 31 May

Table 3. Information on shares of brands on Facebook between 1 and 31 May

Table 4. Content analysis of the sample according to Wilcox and Cameron public relations goals variables

Table 5. Information on shares of brands on Instagram and Twitter between 1 and 31 May

Emre İPEKÇİ

Digital Transformation in Logistics Activities

Table 1. Significant developments in logistics and supply chain from past to present

Table 2. Logistics information systems

Maruf GÖGEBAKAN & Serkan AKOĞUL

A New Approach to Clustering the Human Development Index in Terms of Business Management Using Gaussian Mixture Models

Table 1. Mclust model V (univariate, unequal variance) with 3 components for LEB variable

Table 2.. Mclust model V with 1 component for MYS variable

←9 | 10→

Table 3. Mclust model V with 2 components for average training time variable

Table 4. Mclust model V with 3 components for GNI variable

Table 5. All possible mixture model and appropriate mixture model numbers based on the number of components in variables

Table 6. Log-L, BIC, ICL, CCR and Adjusted Rand Index (Adj RI) values for four classes (Mclust model EVI (diagonal, equal volume, varying shape) with 4 components)

Table 7. Cross-correctness of countries according to four classes

Table 8. Log-L, BIC and ICL values of HDI score for U-GMM (Mclust V model with 3 components)

Table 9. Observation numbers falling into three classes in HDI data set

Table 10. Log-L, BIC, ICL, CCR and Adj Ri values for three classes (Mclust VVV ellipsoidal, varying volume, shape, and orientation model with 3 components)

Table 11. Cross-accuracy of countries according to three classes

Remzi GÖK, Aviral Kumar TİWARİ & Şener İLTER

Details

Pages
236
Year
2021
ISBN (PDF)
9783631870273
ISBN (ePUB)
9783631870280
ISBN (MOBI)
9783631870297
ISBN (Softcover)
9783631838853
DOI
10.3726/b19302
Language
English
Publication date
2021 (December)
Keywords
Banking Blockchain Digital currency Exchange rate regime Financial crisis Financial economics Financial markets Money Stock markets
Published
Berlin, Bern, Bruxelles, New York, Oxford, Warszawa, Wien, 2021. 236 pp., 20 fig. b/w, 27 tables.

Biographical notes

Yavuz Tansoy Yıldırım (Volume editor)

Yavuz Tansoy Yıldırım is a business management and strategic management professional. He received the Ph.D. degree in organization and management from Marmara University, I˙stanbul, Turkey in 2011. His research interests focus on business management, strategic management, organizational behaviour, human resource management, international business and entrepreneurship. He has written books, book chapters, articles and proceedings in Turkish and English. He is working as a lecturer at Bandırma Onyedi Eylül University in the Department of Business Administration, Turkey.

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