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The lack of clarity in defining data science is problematic in both academia and industry because the former has a need for clarity to establish curriculum guidelines in their work to prepare future professionals, and the latter has a need for information to establish clear job description guidelines to recruit professionals. This lack of clarity has resulted in job descriptions with significant overlap among different related professional groups. This study examines the industry view of five professions: statistical analysts (SAs), big data analytics professionals (BDAs), data scientists (DSs), data analysts (DAs) and business analytics professionals (BAs). The study compares the five fields with the unified backdrop of their common semantic dimensions and examines their recent dynamics.

1,200 job descriptions for the five Big Data professions (SA, DS, BDA, DA and BA) were pulled from the Monster website at four points in time, and a document library was created. The collected job qualification records were analyzed using the text analytic method of Latent Semantic Analysis (LSAs), which extract topics based on observed text usage patterns.

The findings indicated a good alignment between the industry view and the academic view of data science as a blend of statistical and programming skills. This industry view remained relatively stable during the 4 years of our study period.

This research paper builds upon a long tradition of related studies and commentaries. Rather than relying on subjective expertise, this study examined the job market and used text analytics to discern a space of skill and qualification dimensions from job announcements related to five big data professions.

The authors apply topic sentiment analysis (several relatively new text analysis methods) to the study of public opinion as expressed in social media by comparing reactions to the Trayvon Martin controversy in spring 2012 by commenters on the partisan news websites the Huffington Post and Daily Caller.

Topic sentiment analysis is a text analysis method that estimates the polarity of sentiments across units of text within large text corpora (Lin & He, 2009; Mei, Ling, Wondra, Su, & Zhai, 2007).

We apply topic sentiment analysis to public opinion as expressed in social media by comparing reactions to the Trayvon Martin controversy in spring 2012 by commenters on the partisan news websites the Huffington Post and Daily Caller. Based on studies that depict contemporary news media as an “outrage industry” that incentivizes media personalities to be controversial and polarizing (Berry & Sobieraj, 2014), we predict that high-profile commentators will be more polarizing than other news personalities and topics.

Results of the topic sentiment analysis support this prediction and in so doing provide partial validation of the application of topic sentiment analysis to online opinion.

Requirements for business improvement professionals depend on different job characteristics. By focussing on lean management, the purpose of this paper is twofold: first, to provide a comprehensive conceptualisation of competencies relevant for lean professionals by comparing them to an existing project management competency framework; and second, to identify their similarities and differences in three different analysed countries.

This paper investigates 2,701 online published job advertisements in the USA, UK and Germany by means of a content analysis to compare and contrast the respective job profiles.

Main findings are similarities and differences in the specification and perception of lean professional’s roles among the three countries. Strikingly, four out of eight considered competency categories comprise 74 per cent of the profiles’ most relevant keywords. Additionally, with the help of a latent semantic analysis, 16 specific competencies can be summarised in a lean professional’s competency taxonomy.

The collected data only represent a snapshot of lean professionals’ advertisements. Also, text mining results from job profiles could largely differ from other techniques like recruiter interviews or company surveys. Further research could use different methods or combine them to construct a more complete model.

Lean education and training as well as the respective candidate selection processes can benefit from these studies’ results.

Requirements and job contents for lean professionals have not been empirically researched on a comparable in-depth level before, even though their expertise is in high demand in any kind of business sector.

This paper aims to explore the extent to which technology and disruption has been considered within the accounting literature, to introduce the five papers which compose this special issue and to provide an agenda for future research on technology and disruption.

To explore previous works on the disruptive potential of technology in accounting, the study compares topics in accounting research articles that contain variations of the term “disrupt” with those articles containing variations of the term “technology”. Based on the method first proposed in Marrone and Hammerle (2016), an entity linker application was used to extract key topics from the top 50 accounting journals, and these topics were then compared to determine the extent of thematic intersection.

A key finding is that accounting academic articles featuring “disruption” are rarely linked with “technology”. The concept of “disruption” has been largely synonymous with crisis, and the crises endured to date have had predominantly social or environmental causes (e.g. the GFC and natural disasters). The literature on technology has coalesced around three broad themes – creation, deployment and protection – which have not been identified as crises triggers so far. This finding underscores the importance of the papers comprising this special issue, which explore enhanced data visualisation, blockchain and social media, as well as considering how such technologies might be managed and their potential for either emancipation or enslavement.

In relation to the review of prior literature, the primary limitation is that a quantitative approach was taken. Whilst this allows for a greater sample size and replication, a qualitative thematic review may reveal additional findings. The primary implication of this research and this special issue collectively is that there is much more to be done in exploring both the potential benefits and limitations of new technologies for accounting.

In relation to the review of prior literature, no previous studies have undertaken a quantitative analysis of the intersection of technology disruption in accounting research. In relation to this special issue, these papers collectively provide a multi-faceted view of how technology can and will transform the practice and potential of accounting in the years ahead. Finally, the provision of a thematic framework and research agenda will assist future researchers in exploring this dynamic and important field.

The purpose of this paper is to consolidate existing knowledge and provide a deeper understanding of e-government research for assisting researchers in the development of their future analyses, identifying trends of research and the methodology used.

A bibliometric approach has been used to examine e-government research in periodical publications listed in ISI in the field of information science and library science during the period 2000-2014.

The authors found that although e-participation research has increased in the last years, future research should focus on accessibility policies, and on the motives, capabilities and perceptions of disabled and older people to take advantage of e-government initiatives to be involved in the social affairs.

The study has shown the need to carry out further research into e-participation in order to understand the true dimension of social networks and their involvement in e-democracy. Also, it is highlighted the need for the design and evaluation of tools for automation of the services and to enable citizens to vote in local initiatives.

This historical assessment allows identification of significant insights and trends related to e-government, and patterns in the published articles and develops a cohesive and comprehensive research agenda to guide researchers worldwide in their quest for a better understanding of e-government.