Digital Transformation of the Consulting Industry—Introduction and Overview

Nissen, Volker

doi:10.1007/978-3-319-70491-3_1

Cited by 39 publications

(25 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…An analysis of the impact of virtualization of the client-consultant relationships, through a Delphi study, shows the equivocal expected impact of this approach: the positive effects are improved effectiveness and flexibility, and the negative effects are weaker client-consultant relationships (Nissen and Seifert 2015 ). Later, digital transformation in the consulting industry is presented as both a driver and a result of changes in all industries due to the evolution of technologies such as cloud computing and big data (Nissen 2018 ). Another important contribution is an analysis of the German management consulting market and its adoption of different digital technologies (Nissen and Seifert 2018 ; Nissen et al 2019 ), which details the forms adopted by consulting firms as well as their future intentions.…”

Section: Literature Reviewmentioning

confidence: 99%

“…It also builds on the literature concerning management consulting digital transformation, in terms of the descriptive statistics and case studies previously used to analyze distance consulting in Italy (Allegra et al 2000 ), the democratization of management consulting due to digitization in more advanced countries (Llewellyn 2017 ), and digital transformation of German management consulting market (Nissen and Seifert 2018 ; Nissen et al 2019 ). Although management consulting companies are important technology providers and enablers of change for their customers (Christensen et al 2013 ; Cerruti et al 2019 ), the challenges faced by these companies and how these companies are affected by this global phenomenon have received little analysis in the existing research (Nissen 2018 ). We analyze in this paper a less developed management consulting market, the Romanian one.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The digital transformation of management consulting companies: a qualitative comparative analysis of Romanian industry

Crișan

Stanca

2021

Inf Syst E-Bus Manage

View full text Add to dashboard Cite

Digital transformation affects all industries. This study targets how management consulting companies address this phenomenon. Based on a survey of 30 Romanian management consulting companies and a qualitative comparative analysis, we model the relationship between management consulting companies’ current context (customers’ industries, internal and external triggers for digital transformation), the current state of digital transformation, and expected digital transformation. By considering managerial expectations importance in future decisions, and contingency theory for explaining the links between context, current state and expected digital transformation, different paths concerning digital transformation are identified at Romanian management consulting companies. For some of them, the combination of internal and external triggers and the existence of previous digital transformation activities led to increases in the recognized importance of digital transformation in future business models and to newer business services (digital strategy). For others, which do not have powerful external triggers, digital transformation is associated with internal efficiency–related triggers, and it targets only improvements in existing business models due to technology adoption (technology strategy). A small number of management consulting companies do not expect digital transformation to have a large impact on their future business model, because of either the lack of external triggers to do so or the absence of previous digital transformation activities. This research demonstrates the contingency and evolutionary nature of the digital transformation process, in which specific combinations between internal and external triggers can explain the expectations of management consulting companies’ managers about digital transformation.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The digital transformation of management consulting companies: a qualitative comparative analysis of Romanian industry

Crișan

Stanca

2021

Inf Syst E-Bus Manage

View full text Add to dashboard Cite

show abstract

“…Consultancies are faced with the challenge of reacting to digital changes and using new technologies to innovatively transform classic consulting processes and business models and to adapt to the changed consulting market [6]. One possible approach is the virtualisation of consulting processes.…”

Section: Research Motivation In the Context Of Digital Consulting Tecmentioning

confidence: 99%

“…If a neighboring is-predecessor has already been analysed, the existing result value is returned. If no result value exists, steps (5) and (6) are performed to determine the return value. Depending on the respective entry element (in this case: kind-of "weak point"), the solution set of the Kind-of?…”

Section: Which Weak Points Are Present In the Process?mentioning

confidence: 99%

An Inferential Knowledge Model for the Digitalisation and Automation of Business Process Analysis

Füßl¹,

Nisse²,

Dopf³

et al. 2020

WI2020 Community Tracks

View full text Add to dashboard Cite

In the course of digitalisation, the service sector is undergoing rapid change, which is partly questioning the existing business models and influencing the conditions of competition. The consulting industry, too, is confronted with corresponding challenges despite the positive sales trend. The use of advanced technology-based tools based on artificial intelligence or analytical approaches could sustainably improve the competitive situation of consulting providers. Consulting projects often require a comprehensive analysis of business processes. The knowledge-based system iKnow presented here has mechanisms of automated inference as well as machine learning approaches. In contrast to process mining, it can also be used to support and partially automate process analysis if no evaluable log data is available. In this article, the previous concept of an inference-capable business process analysis tool is further developed, its usefulness is demonstrated and evaluated using an example process. With the help of a modeled knowledge base for process analysis, BPMN models can be automatically examined for weak points on the basis of analysis criteria and suitable improvement measures can be determined. Machine learning approaches can be used to continuously improve the analysis results.

show abstract

“…A review of the digital economy is presented in the collection of papers "Digital Economy: Emerging Technologies and Business Innovation" [8], where a group of authors elaborates the areas such as digital marketing, e-banking systems, information systems, and technologies in the field of banking as well as e-learning, e-government and e-health. In [9], Nissen and other authors deal with the impact of digital transformation on the field of consulting industry, while the Digital Transformation of the supply chain is presented in the paper [10], and the public sector in the paper [4].…”

Section: Digital Transformation a Whole Range Of Different Definitions Of The Term Digitalmentioning

confidence: 99%

The role and importance of Smart Systems concept in the Industry 4.0

Amovic

Vujović

Milinković

2020

IJEEC

View full text Add to dashboard Cite

From the 18th century, the Industrial Revolutions led to the creation of a base for the development and progress of civilization and business. Different business models that relied on the new trends defined by the industrial revolutions significantly transformed the ecosystems of companies. This resulted in the accelerated development and entrance into the digital age, followed by the digitization of the environment and establishing a new system of values. Information and communication technologies are the backbone of the development and mapping of the physical domain into cyber-physical, leading to the emergence of new processes, knowledge, and skills that have been established in the context of Digital Transformation and the digital era. The key part of Digital transformation process is the Smart Systems concept, which is present in almost all industries and domains. Smart Agriculture is one of the most common applications of Smart Systems solutions. It aims to answer important questions regarding food production while, at the same time, taking care of the preservation of the environment, the health of the population and global development. In this paper, the key concepts of the digital transformation and smart systems are presented. In addition, the design and development of the GoGrow, commercial solution for smart agriculture is described.

show abstract

Digital Transformation of the Consulting Industry—Introduction and Overview

Cited by 39 publications

References 27 publications

The digital transformation of management consulting companies: a qualitative comparative analysis of Romanian industry

The digital transformation of management consulting companies: a qualitative comparative analysis of Romanian industry

An Inferential Knowledge Model for the Digitalisation and Automation of Business Process Analysis

The role and importance of Smart Systems concept in the Industry 4.0

Contact Info

Product

Resources

About