scholarly journals Digital transformation: conceptual framework

2019 ◽  
Author(s):  
Natalja Verina ◽  
Jelena Titko
Keyword(s):  
Content Analysis ◽  
Research Methodology ◽  
Empirical Investigation ◽  
Deep Understanding ◽  
Digital Transformation ◽  
Business Sector ◽  
Textual Information ◽  
The Given ◽  
Information Database ◽  
Practical Implications

Purpose – the main goal of the current research was to provide a deep understanding of the concept of digital transformation, specifying its key elements/components/categories. Research methodology – an analysis of the textual information was performed, applying various techniques in the framework of the content analysis. Information database included 30 definitions of the term “digital transformation” and the related terms proposed by academicians and organizations. Findings – the analysis of the text segments of the investigated concept yielded three categories of digital transformation in business; 1) technologies, 2) processes and management, 3) people. Based on the research results, the conceptual model of digital transformation was created. Research limitations – the research was limited by the number of the analyzed definitions, as well as by the variety of methods applied. Practical implications – the research instrument for a survey among business sector representatives can be developed using the findings of the given study, in particular, for structuring the questionnaire’s blocks. Originality/Value – the current research provides a platform for further empirical investigation of the level of a company’s digital transformation

scholarly journals What skills and competencies are required of marketing graduates in the Spanish business-to-business sector? A content analysis of listings on online job portals

2020 ◽  
pp. 515-536
Author(s):  
Lázaro Echegaray ◽  
Jorge García Martín García Martín
Keyword(s):  
Content Analysis ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Technical Skills ◽  
Digital Marketing ◽  
Business Sector ◽  
Job Requirements ◽  
Information And Communication ◽  
Business To Business ◽  
Practical Implications

Objective. The new scenarios arising from globalisation and the development of information and communication technologies have obliged marketing to adapt to a more complex, ever-changing and highly uncertain environment. That adaptation has, in turn, made it necessary to review the conditions of engagement of professionals in the sector. Thus, the aim of this study is to identify the skills required in business-to-business (B2B) job vacancies for marketing graduates at national and international companies based in Spain, with international links and, therefore, forming part of the globalised market. Methodology. Employing the desktop research technique, an analysis was performed on the listings posted on the leading job portals in Spain. Following this, a content analysis was conducted on the data collected from the listings, quantifying and classifying the job requirements appearing in them. Results. The importance of social media in relation to technical skills, the relevance of a good proficiency in English as regards meta-skills, the requirement of digital marketing knowledge and expertise with respect to conceptual marketing knowledge, and a strong correlation between the experience and salary variables were observed. Limitations. There is scant specific literature on marketing job requirements in the B2B sector. Practical implications. This study is particularly valuable insofar as it provides universities, business schools and higher education centres knowledge of the latest marketing skills and competencies required in the B2B sector.

scholarly journals A model for building a relationship between universities and entrepreneurs

2019 ◽  
Author(s):  
Santa Jākobsone ◽  
Artūrs Zeps
Keyword(s):  
Content Analysis ◽  
Research Methodology ◽  
Swot Analysis ◽  
Literature Analysis ◽  
Expert Interviews ◽  
Academic Institutions ◽  
Detailed Model ◽  
The University ◽  
Practical Implications ◽  
Significant Shortage

Purpose – the article aims to describe the main problems in cooperation between universities and entrepreneurs as well as suggestions to improve this cooperation. Research methodology – the aim of the article has been achieved based on literature analysis, detailed content analysis of existing Latvian technical universities strategy documents and SWOT analysis, and recommendations gained through expert interviews. Findings – one of the factors strengthening the need for cooperation is the significant shortage of engineering and ICT specialists in the coming years; therefore, authors have analysed technical universities strategy documents. The article suggests that improvement in the cooperation can be reached if academic institutions would apply a unified system for better cooperation with industry. Practical implications – the model, which is described by authors as the SADI model, provides an opportunity to strengthen cooperation with industry taking into account such factors as availability of the resources; university’s strategic aims, the intensity of communication with entrepreneurs and others. The model provides support to the management of the university in planning cooperation and developing appropriate structures to support it. It as well it can help university’s management to structure cooperation activities, thus strengthening it and generating additional resources. Originality/Value – authors have not found such a detailed model in advance so that it can be considered a novelty

APPROACHES TO ASSESSING DIGITAL TRANSFORMATION IN AGRARIAN BUSINESS SECTOR

2020 ◽  
pp. 20-26
Author(s):  
Olga Anatolyevna Rodionova ◽  
Anatoly Sergeevich Truba ◽  
Tamara Gennadievna Evsyukova
Keyword(s):  
Digital Transformation ◽  
Business Sector

scholarly journals The Technology of Awakening: Experiments in Zen Phenomenology

Religions ◽  
2021 ◽  
Vol 12 (3) ◽  
pp. 192
Author(s):  
Brentyn J. Ramm
Keyword(s):  
Empirical Investigation ◽  
Zen Buddhism ◽  
First Person ◽  
True Nature ◽  
Subject And Object ◽  
The Given

In this paper, I investigate the phenomenology of awakening in Chinese Zen Buddhism. In this tradition, to awaken is to ‘see your true nature’. In particular, the two aspects of awakening are: (1) seeing that the nature of one’s self or mind is empty or void and (2) an erasing of the usual (though merely apparent) boundary between subject and object. In the early Zen tradition, there are many references to awakening as chopping off your head, not having eyes, nose and tongue, and seeing your ‘Original Face’. These references bear a remarkable resemblance to an approach to awakening developed by Douglas Harding. I will guide the reader through a series of Harding’s first-person experiments which investigate the gap where you cannot see your own head. I will endeavour to show that these methods, although radically different from traditional meditation techniques, result in an experience with striking similarities to Zen accounts of awakening, in particular, as experiencing oneself as empty or void and yet totally united with the given world. The repeatability and apparent reliability of these first-person methods opens up a class of awakening experience to empirical investigation and has the potential to provide new insights into nondual traditions.

scholarly journals Examining Perceived and Projected Destination Image: A Social Media Content Analysis

2021 ◽  
Vol 13 (6) ◽  
pp. 3354
Author(s):  
Wei Sun ◽  
Shoulian Tang ◽  
Fang Liu
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Destination Image ◽  
Media Content ◽  
Media Content Analysis ◽  
Poor Understanding ◽  
Practical Implications

Destination image has been extensively studied in tourism and marketing, but the questions surrounding the discrepancy between the projected (perceptions from the National Tourism Organizations) and perceived destination image (perceptions from tourists) as well as how the discrepancy may influence sustainable experience remain unclear. Poor understanding of the discrepancy may cause tourist confusion and misuse of resources. The aim of this study is to empirically investigate if the perceived (by tourists) and projected (by NTOs) destination image are significantly different in both cognitive and affective aspects. Through a comprehensive social media content analysis of the NTO-generated and tourist-generated-contents (TGC), the current study identifies numerous gaps between the projected and perceived destination image, which offers some important theoretical and practical implications on destination management and marketing.

Corporate Social Responsibility and Sustainability (CSRS) Initiatives among European and Asian Business Schools: A Web-based Content Analysis

2017 ◽  
Vol 20 (5) ◽  
pp. 1231-1247 ◽  
Author(s):  
Mohsin Abdur Rehman ◽  
Muhammad Kashif ◽  
Michela Mingione
Keyword(s):  
Corporate Social Responsibility ◽  
Content Analysis ◽  
Social Responsibility ◽  
Business School ◽  
University Rankings ◽  
Global Business ◽  
Web Based ◽  
Corporate Social ◽  
Business And Management ◽  
Practical Implications

The purpose of this study is to explore the extent to which MBA programmes offered by top European and Asian B-schools have a corporate social responsibility and sustainability (CSRS) orientation as per their websites. The websites of top-200 (based on the QS Global Business and Management University Rankings 2015) European and Asian B-schools were explored and content analysed to reach meaningful conclusions. The findings reveal European B-schools have much stronger CSRS orientation once compared with the Asian B-schools. Furthermore, only few B-schools promote CSRS centres on their websites which has some useful practical implications. This is the first study to explore the CSRS orientation among top-200 European and Asian B-schools based on an analysis of their respective websites. Additionally, a cross-continental comparison between European and Asian MBA programmes is unique to this study. The results have implications for global managers, in general, and business school policymakers, in specific, to embark the CSR initiatives to gain competitive advantage.

Who’s making the decisions? How managers can harness artificial intelligence and remain in charge

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pooya Tabesh
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Decision Making ◽  
Big Data ◽  
Digital Transformation ◽  
Decision Processes ◽  
Decision Makers ◽  
Content Type ◽  
Human Decision ◽  
Practical Implications

Purpose While it is evident that the introduction of machine learning and the availability of big data have revolutionized various organizational operations and processes, existing academic and practitioner research within decision process literature has mostly ignored the nuances of these influences on human decision-making. Building on existing research in this area, this paper aims to define these concepts from a decision-making perspective and elaborates on the influences of these emerging technologies on human analytical and intuitive decision-making processes. Design/methodology/approach The authors first provide a holistic understanding of important drivers of digital transformation. The authors then conceptualize the impact that analytics tools built on artificial intelligence (AI) and big data have on intuitive and analytical human decision processes in organizations. Findings The authors discuss similarities and differences between machine learning and two human decision processes, namely, analysis and intuition. While it is difficult to jump to any conclusions about the future of machine learning, human decision-makers seem to continue to monopolize the majority of intuitive decision tasks, which will help them keep the upper hand (vis-à-vis machines), at least in the near future. Research limitations/implications The work contributes to research on rational (analytical) and intuitive processes of decision-making at the individual, group and organization levels by theorizing about the way these processes are influenced by advanced AI algorithms such as machine learning. Practical implications Decisions are building blocks of organizational success. Therefore, a better understanding of the way human decision processes can be impacted by advanced technologies will prepare managers to better use these technologies and make better decisions. By clarifying the boundaries/overlaps among concepts such as AI, machine learning and big data, the authors contribute to their successful adoption by business practitioners. Social implications The work suggests that human decision-makers will not be replaced by machines if they continue to invest in what they do best: critical thinking, intuitive analysis and creative problem-solving. Originality/value The work elaborates on important drivers of digital transformation from a decision-making perspective and discusses their practical implications for managers.

Emerging trends in data analytics and knowledge management job market: extending KSA framework

2019 ◽  
Vol 23 (4) ◽  
pp. 664-686 ◽  
Author(s):  
Hsia-Ching Chang ◽  
Chen-Ya Wang ◽  
Suliman Hawamdeh
Keyword(s):  
Content Analysis ◽  
Data Analytics ◽  
Multiple Correspondence Analysis ◽  
Academic Program ◽  
Job Market ◽  
Content Type ◽  
Job Demand ◽  
Experience Levels ◽  
Emerging Trends ◽  
Practical Implications

Purpose This paper aims to investigate emerging trends in data analytics and knowledge management (KM) job market by using the knowledge, skills and abilities (KSA) framework. The findings from the study provide insights into curriculum development and academic program design. Design/methodology/approach This study traced and retrieved job ads on LinkedIn to understand how data analytics and KM interplay in terms of job functions, knowledge, skills and abilities required for jobs, as well as career progression. Conducting content analysis using text analytics and multiple correspondence analysis, this paper extends the framework of KSA proposed by Cegielski and Jones‐Farmer to the field of data analytics and KM. Findings Using content analysis, the study analyzes the requisite KSA that connect analytics to KM from the job demand perspective. While Kruskal–Wallis tests assist in examining the relationships between different types of KSA and company’s characteristics, multiple correspondence analysis (MCA) aids in reducing dimensions and representing the KSA data points in two-dimensional space to identify potential associations between levels of categorical variables. The results from the Kruskal–Wallis tests indicate a significant relationship between job experience levels and KSA. The MCA diagrams illustrate key distinctions between hard and soft skills in data across different experience levels. Practical implications The practical implications of the study are two-fold. First, the extended KSA framework can guide KM professionals with their career planning toward data analytics. Second, the findings can inform academic institutions with regard to broadening and refining their data analytics or KM curricula. Originality/value This paper is one of the first studies to investigate the connection between data analytics and KM from the job demand perspective. It contributes to the ongoing discussion and provides insights into curriculum development and academic program design.

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