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.

Dave Snowden on KM and big data/analytics: interview with David J. Pauleen

2017 ◽  
Vol 21 (1) ◽  
pp. 12-17 ◽  
Author(s):  
David J. Pauleen
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Theory And Practice ◽  
Content Type ◽  
Face To Face ◽  
The Relationship ◽  
A Company ◽  
Practical Implications ◽  
Scientific Officer

Purpose Dave Snowden has been an important voice in knowledge management over the years. As the founder and chief scientific officer of Cognitive Edge, a company focused on the development of the theory and practice of social complexity, he offers informative views on the relationship between big data/analytics and KM. Design/methodology/approach A face-to-face interview was held with Dave Snowden in May 2015 in Auckland, New Zealand. Findings According to Snowden, analytics in the form of algorithms are imperfect and can only to a small extent capture the reasoning and analytical capabilities of people. For this reason, while big data/analytics can be useful, they are limited and must be used in conjunction with human knowledge and reasoning. Practical implications Snowden offers his views on big data/analytics and how they can be used effectively in real world situations in combination with human reasoning and input, for example in fields from resource management to individual health care. Originality/value Snowden is an innovative thinker. He combines knowledge and experience from many fields and offers original views and understanding of big data/analytics, knowledge and management.

Optimal supply chain performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Keyword(s):  
Supply Chain ◽  
Data Analytics ◽  
Business Performance ◽  
Design Methodology ◽  
Dynamic Capabilities ◽  
Internal Dynamic ◽  
Content Type ◽  
Combining Data ◽  
Pertinent Information ◽  
Practical Implications

Purpose This paper aims to review the latest management developments across the globe and pinpoint practical implications from cutting-edge research and case studies. Design/methodology/approach This briefing is prepared by an independent writer who adds their own impartial comments and places the articles in context. Findings Companies can enhance their supply chain by combining data analytics and the digitization of activities. Manager focus on internal dynamic capabilities and effectiveness of data acquisition and utilization increases the possibility of improved operational and business performance. Originality/value The briefing saves busy executives and researchers hours of reading time by selecting only the very best, most pertinent information and presenting it in a condensed and easy-to-digest format.

Sustainable entrepreneurship education for circular economy: emerging perspectives in Europe

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Pasquale Del Vecchio ◽  
Giustina Secundo ◽  
Gioconda Mele ◽  
Giuseppina Passiante
Keyword(s):  
Circular Economy ◽  
Geographical Area ◽  
Entrepreneurship Education ◽  
Learning Objectives ◽  
Future Research ◽  
Innovation Ecosystem ◽  
Content Type ◽  
Emerging Trends ◽  
Cross Case Analysis ◽  
Practical Implications

PurposeThe paper aims to contribute to the Circular Economy debate from the Entrepreneurship Education perspective. Despite scholars' growing interest in both these research streams, scarce consideration is given to the comprehension of their mutual implications and meaning.Design/methodology/approachThe paper is based on a cross-case analysis. It compares 16 higher education programmes launched by Universities in Europe aimed to create competences and skills for Circular Economy in students with different profiles. The analysis provides a critical view of the emerging trends for the entrepreneurship education skills and competencies needed for the emerging circular entrepreneurship paradigm.FindingsThe paper discusses the main trends of Entrepreneurship Education focused on Circular Economy debate at the European level: rationale and learning objectives (why); contents (what), target students and stakeholders (who) and the learning processes (how). Four thematic areas are identified as common patterns: circular economy business model, green supply chain management, technology entrepreneurship and innovation and public policies and institutional frameworks.Research limitations/implicationsThe paper sheds new light on a still under-researched area, suggesting several implications and avenues for future research in Circular Economy and Entrepreneurship Education. Limitations regard the need to analyse education programmes from a larger geographical area, to take into consideration interesting experiences in the rest of the world and to also collect quantitative data.Practical implicationsPractical implications arise for the development of learning initiatives for the Circular Economy: learning objectives and new thematic areas focused on circular, sustainable and innovative rethinking of the process for creating value in the incumbent companies; exploring meaning and benefits of collaborative approaches and participation in the circular economy innovation ecosystem and developing advanced models for soft-skills development in terms of leadership, motivational and creative skills.Originality/valueThe debate on CE can also be rooted in the paradigm of entrepreneurship as a core process to advance knowledge on valuable and sustainable innovation.

Uncertainty and grey data analytics

2019 ◽  
Vol 2 (2) ◽  
pp. 73-86 ◽  
Author(s):  
Yingjie Yang ◽  
Sifeng Liu ◽  
Naiming Xie
Keyword(s):  
Social Life ◽  
Data Analytics ◽  
Radical Change ◽  
Point Of View ◽  
Small Data ◽  
Content Type ◽  
Proposed Model ◽  
Uncertainty Models ◽  
First Time ◽  
Practical Implications

Purpose The purpose of this paper is to propose a framework for data analytics where everything is grey in nature and the associated uncertainty is considered as an essential part in data collection, profiling, imputation, analysis and decision making. Design/methodology/approach A comparative study is conducted between the available uncertainty models and the feasibility of grey systems is highlighted. Furthermore, a general framework for the integration of grey systems and grey sets into data analytics is proposed. Findings Grey systems and grey sets are useful not only for small data, but also big data as well. It is complementary to other models and can play a significant role in data analytics. Research limitations/implications The proposed framework brings a radical change in data analytics. It may bring a fundamental change in our way to deal with uncertainties. Practical implications The proposed model has the potential to avoid the mistake from a misleading data imputation. Social implications The proposed model takes the philosophy of grey systems in recognising the limitation of our knowledge which has significant implications in our way to deal with our social life and relations. Originality/value This is the first time that the whole data analytics is considered from the point of view of grey systems.

Journal of entrepreneurship in emerging economies (JEEE): reflecting on the past five years while thinking about the future

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Wen Li Chan ◽  
Michael James Mustafa
Keyword(s):  
Content Analysis ◽  
Emerging Economies ◽  
Comparative Studies ◽  
Design Methodology ◽  
Emerging Economy ◽  
Detailed Account ◽  
Future Research ◽  
Content Type ◽  
The Past ◽  
Practical Implications

Purpose The purpose of this paper is to provide an overview of studies published in the Journal of Entrepreneurship in Emerging Economies (JEEE) between 2014 and 2019. The review also provides suggestions for future research in JEEE. Design/methodology/approach Integrative literature of 90 empirical and conceptual articles published in JEEE between 2014 and 2019. The selected articles were analyzed using content analysis. Findings Analysis of the 90 published articles shows that JEEE has covered a number of relevant topics related to entrepreneurship and innovation in emerging economies. In particular, scholars have adopted a variety of methods to describe such activities in emerging economies. The review also highlights the lack of comparative studies in JEEE and studies, which significantly take into account or focus on the emerging economy context. Practical implications The findings suggest that future scholars wishing to submit to JEEE should consider taking a more detailed account of the emerging context. Originality/value Since its first publication in 2014, this study represents the first review of articles found in JEEE. Specifically, the study provides a platform for future scholars wishing to submit to JEEE to take stock of the studies in the journal, thus giving them a better understanding of the field. The study also provides directions regarding areas of possible future research, which might be of interest to scholars wishing to submit to JEEE.

Combatting the financing of terrorism in Austria, Germany, Liechtenstein and Switzerland

2019 ◽  
Vol 22 (4) ◽  
pp. 782-795
Author(s):  
Fabian Maximilian Johannes Teichmann
Keyword(s):  
Content Analysis ◽  
Law Enforcement ◽  
Financial Services ◽  
Quantitative Methods ◽  
Qualitative Content Analysis ◽  
Research Process ◽  
Criminal Prosecution ◽  
Content Type ◽  
Qualitative And Quantitative Methods ◽  
Practical Implications

Purpose Whilst the existing literature focuses on developing prevention mechanisms for banks, this paper aims to show how feasible it still is in Austria, Germany, Liechtenstein and Switzerland to finance terrorism without getting detected. Design/methodology/approach A three-step research process, including both qualitative and quantitative methods, was applied. The empirical findings are based upon qualitative content analysis of 15 informal interviews with illegal financial services providers and 15 formal interviews with compliance experts and law enforcement officers. Findings During those interviews, concrete and specific methods of financing terrorism and limiting the risks of facing a criminal prosecution were discussed. The interviews were analyzed based upon a qualitative content analysis. To assess the risk, which criminals, a quantitative survey among 181 compliance officers was conducted to determine what leads to investigations. Research limitations/implications The findings are limited to the 30 interviewees’ and 181 survey participants’ perspective. Practical implications The practical implications include suggestions for providing law enforcement and intelligence agencies with new tools, such as remote online searches of electronic devices. Originality/value Whilst the empirical findings are based upon Austria, Germany, Liechtenstein and Switzerland, the results could be applied on European level.

Segmenting, targeting and positioning in Islamic marketing

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohammad Mominul Islam
Keyword(s):  
Content Analysis ◽  
Design Methodology ◽  
Secondary Data ◽  
Qualitative Approach ◽  
Content Type ◽  
Social Fabric ◽  
Shape Segmentation ◽  
Whole Process ◽  
The Social ◽  
Practical Implications

Purpose This study aims to conceptualize the basic Islamic marketing (IM) process according to Shari’ah, addressing some of the queries raised by scholars on halal and marketing. Design/methodology/approach A qualitative approach and content analysis have guided to shape segmentation, targeting and positioning (STP) with the help of secondary data from conventional and IM. Required Qur’anic verses and hadiths have been galvanized to shape STP in line with empirical evidence, showing potential marketing implications. Findings This study has accepted Islamic resources to segment markets, mentioning mankind, non-Muslims, Muslims, generic, halal and Islamic products. It has proposed to target mankind, non-Muslims markets with generic and halal products. Muslim marketers can target the pious Muslim consumers with Islamic products. For positioning, the halal certification has been suggested for the non-Muslim marketers and Islamization is for Muslim marketers. The whole process has been conceptualized in a single framework. Practical implications Marketers can have many product development ideas and basic guidelines and scholars may be able to sense some queries as to IM. Social implications This study has shown how inter-religious relationships can be harmonized with carrying out marketing functions to keep the social fabric following the Qur’anic verses. Originality/value This study has outlined the IM process as per Muslim and non-Muslim marketers’ needs under Shari’ah. Besides, it has answered some questions on halal and IM that has been hardly addressed before.

Research trends in quality management in years 2000-2019

2020 ◽  
Vol 12 (4) ◽  
pp. 417-433 ◽  
Author(s):  
Sławomir Wawak ◽  
Piotr Rogala ◽  
Su Mi Dahlgaard-Park
Keyword(s):  
Quality Management ◽  
Text Mining ◽  
Design Methodology ◽  
Reliable Data ◽  
Classification Criteria ◽  
Content Type ◽  
Emerging Trends ◽  
Novel Approach ◽  
Computer Aided Analysis ◽  
Practical Implications

Purpose This study aims to demonstrate the suitability of text-mining toolset for the discovery of trends in quality management (QM) literature in 2000-2019. The hypothesis was formulated that as the field of study is mature, the most important trends are related to deepening and broadening of the knowledge. Design/methodology/approach A novel approach to trend discovery was proposed. The computer-aided analysis of full-texts of papers led to increased reliability and level of detail of the achieved results and helped significantly reduce researchers’ bias. Overall, 4,833 papers from 8 journal dedicated to QM were analysed. Findings Trends discovery led to the identification of 45 trends: 17 long-lasting trends, 4 declining trends, 11 emerging trends and 13 ephemeris trends. They were compared to the results of earlier studies. New trends and potential gaps were discussed. Practical implications The results highlight the trends that gain or lose popularity, thus they can be used to focus studies, as well as find new subjects, which are not so popular yet. The knowledge about emerging trends is also important for those quality managers who strive for improvement of their efficiency. Originality/value The research was designed to bypass the limitations of previous studies. The use of text mining methods and analysis of full texts of papers delivered more detailed and reliable data. Resignation from predefinition of classification criteria significantly reduced researchers’ bias and allowed the discovery of new trends, not identified in previous studies.

Methodological lapses in plant and equipment valuation amongst Lagos valuers

2019 ◽  
Vol 37 (4) ◽  
pp. 529-546
Author(s):  
Austin Chike Otegbulu
Keyword(s):  
Content Analysis ◽  
Best Practices ◽  
Design Methodology ◽  
Content Type ◽  
Potential Sources ◽  
Valuation Process ◽  
Practical Implications ◽  
Structured Questionnaire

Purpose The purpose of this paper is to investigate the level of discrepancy in the valuation process adopted by valuers in the study area with a view to provide solution. Design/methodology/approach The study is based on both structured questionnaire and content analysis of valuation reports. In total, 185 (41 percent) structured questionnaires were randomly distributed to practicing estate surveying firms; out of 450 firms in Lagos, 173 were retrieved and used for analysis. However, the content analysis was based on 54 valuation reports on plants and equipment to investigate the extent of compliance to valuation process, standard and best practices among practitioners. Findings The findings from the study show that most of the practitioners lack the expertise to carry out plant and machinery (P&M) valuation, and there is evidence of poor application of methodology and lack of adherence to standards. Practical implications The findings from this study will reinforce the need for specialization and enforcement of standard in plant and equipment valuation practice, which will enthrone consistency, uniformity and reliability. Originality/value This study is the first to deal with methodology lapses in plant and equipment valuation in the study area. Ashaolu (2016) worked on the inter-disciplinary nature of plant and equipment valuation, whereas Otegbulu and Babawale (2011) worked on valuer’s perception or potential sources of inaccuracy in P&M valuation in Nigeria.

Popular reporting: learning from the US experience

2019 ◽  
Vol 32 (1) ◽  
pp. 92-113 ◽  
Author(s):  
Francesca Manes-Rossi ◽  
Natalia Aversano ◽  
Paolo Tartaglia Polcini
Keyword(s):  
Content Analysis ◽  
Best Practices ◽  
Local Governments ◽  
Legitimacy Theory ◽  
Content Type ◽  
The Us ◽  
The Usa ◽  
The City ◽  
Qualitative Characteristics ◽  
Practical Implications

Purpose The purpose of this paper is to explore a citizen-centered tool for public accountability, the popular report (PR). Elaborating on previous studies and on content analysis of a sample of municipalities in the USA, this paper aims to identify the qualitative characteristics and content elements that PR should have to serve as a legitimation tool. Design/methodology/approach The study adopts a mixed methodology. After the analysis of previous studies on PR and best practices in US municipalities, a list of content elements and qualitative characteristics of PR is compared with results emerging from the content analysis of PR published by of a sample of municipalities in the USA. Findings The analysis reveals that the PR should embed information about the government’s sources of revenues and taxes, expenditures, cost of government services, liveability and governance of the city. Research limitations/implications The paper offers new knowledge on reporting centered on citizens, framing the analysis in the legitimacy theory. Even though the research relates only to the US context, the results may assist standard setters in preparing guidelines for local governments to communicate financial data to citizens and stimulate further research in other contexts. Practical implications The results may encourage local governments to prepare a PR suitable to discharge accountability and gain legitimation. Originality/value This study is the first to discuss the PR within a theoretical framework, in this case, legitimacy theory. Moreover, a further novelty lays in the analysis carried out on the PRs published by US municipalities in order to derive qualitative characteristics and content elements with which the PR should comply.

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