How to make intelligent automation projects agile? Identification of success factors and an assessment approach

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Sreenivasa Sekhar Josyula ◽  
M. Suresh ◽  
R. Raghu Raman
Keyword(s):  
Artificial Intelligence ◽  
Success Factors ◽  
New Technologies ◽  
Digital Transformation ◽  
Driving Factors ◽  
Future Research ◽  
Theoretic Approach ◽  
Project Organization ◽  
Content Type ◽  
Triggering Factors

Purpose Organizations are fast adopting new technologies such as automation, analytics and artificial intelligence, collectively called intelligent automation, to drive digital transformation. When adopting intelligent automation, there is a need to understand the success factors of these new technologies and adapt agile software development (ASD) practices to meet customer expectations. The purpose of this paper is to explore the success factors of intelligent automation and create a framework for managers and practitioners to meet dynamic business demands. Total interpretive structural modeling (TISM) framework is a suitable approach to integrate quantitative measurement with qualitative semi-structured interviews capturing the context of the individual organization environment. Design/methodology/approach This paper identified agility factors and their interrelationships using a TISM framework. TISM results were validated using a one-tailed t-test to confirm the interrelationships between factors. Furthermore, the agility index of a case project organization was assessed using a graph-theoretic approach (GTA) to identify both the triggering factors for agility success and improvement proposals. Findings Results showed that leadership vision, organization structure and program methodology were driving factors. The TISM model was validated statistically and the agility index of the intelligent automation case project organization was calculated to be79.5%. Here, a GTA was applied and the triggering factors for improvement of the agility index were identified. Research limitations/implications The limitations of the study are described along with the opportunities for future research as the field evolves through the rapid innovation of technology and products. Practical implications The increasing role of digital transformation in enterprise strategy and operations requires practitioners to understand how ASD practices must be planned, measured and/or improved over time through the implementation of automation, analytics and artificial intelligence programs. The TISM digraph provides a framework of hierarchical structure to organize the influencing factors, which assists in achieving organizational goals. This study highlights the driving factors which contribute to the success of intelligent automation projects and project organizations. Originality/value This is a first attempt to analyze the interrelationships among agility factors in intelligent automation projects (IAP) using TISM and the assessment of the agility index of a case IAP organization using a GTA.

scholarly journals Digital transformation, development and productivity in developing countries: is artificial intelligence a curse or a blessing?

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Heidi Aly
Keyword(s):  
Artificial Intelligence ◽  
Developing Countries ◽  
Economic Development ◽  
Labor Productivity ◽  
Developed Countries ◽  
Digital Transformation ◽  
Future Research ◽  
Content Type ◽  
The Impact ◽  
The Relationship

Purpose The entire world is now witnessing the Fourth Industrial Revolution and Artificial Intelligence (AI) is indeed altering the lives of the many in both developing and developed countries. Massive digital transformations are affecting the economies of those countries and are bringing with them many promised merits, as well as many challenges to face. This paper aims to examine the relationship between digital transformation (as a one facet of the fourth revolution and AI trends) on one side, and economic development, labor productivity and employment on the other side. Design/methodology/approach The paper analyzes different indices of digital transformation, and then uses the Digital Evolution Index (DEI) to study those relationships in a group of developing countries using feasible generalized least squares method (FGLS). Findings The results show a positive relationship between the digital transformation index and economic development, labor productivity and job employment. Females seem to gain more from digital transformation compared to males, as suggested by the positive relation with the first and the insignificant relation with the latter. The relationship with vulnerable employment is not significant; more evidence is still needed to judge whether digital transformation will have an impact upon the vulnerable employees in the economy. Research limitations/implications The paper focused on the impact of digital transformation upon total aggregate employment. Future research is still needed to examine the impact upon the structure of the labor market and the shift of occupations. Originality/value The paper aims to add to in the literature regarding the relationship between digital transformation, economic development, employment and productivity in the developing world. The implications of those relationships are of significant importance to policymakers regarding how much support should be given to encourage the digital transformation. At the same time, it shall also indicate how much social support policies are required – if any – to lessen the negative impact of digital transformation on the vulnerable groups inside the country. Another contribution is using a single composite index for digital transformation that is comparable across the chosen set of developing countries, instead of using single indices each capturing a different dimension of digital transformation.

Digital transformation of organizations: what do we know and where to go next?

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Monika Jedynak ◽  
Wojciech Czakon ◽  
Aneta Kuźniarska ◽  
Karolina Mania
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Business Models ◽  
Grey Literature ◽  
Blind Spot ◽  
Digital Transformation ◽  
Academic Disciplines ◽  
Future Research ◽  
Content Type ◽  
Management Domain

PurposeThe purpose of this paper is to identify the development of the digital transformation literature and to the systematic literature review methodology.Design/methodology/approachThe authors run a systematic literature review, followed by a rigorous thematic analysis of both academic and grey literature dataset, in order to develop a conceptual map of organizations' digital transformation. The authors aggregate the concepts and topics identified across the literature to find that they overwhelmingly tackle digital business models. At the same time, the authors identify a major blind spot resulting from ignoring the organization itself as a unit of analysis.FindingsThe findings show that developing a digital theory of the organization or the theory of digitally transformed organization is a major challenge to management researchers. The analysis exposed numerous research gaps that can be helpful for future research directions.Originality/valueDigital transformation research enjoys an increasingly rapid rise to recognition across many academic disciplines and strongly impacts the management domain. adopt the view that published documents reflect the collective understanding of a phenomenon. This paper contributes to filtering the digital transformation literature, clarify complex relation between digital transformations of organizations and identify the key blind points.

Artificial intelligence in financial services: a qualitative research to discover robo-advisory services

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ankita Bhatia ◽  
Arti Chandani ◽  
Rizwana Atiq ◽  
Mita Mehta ◽  
Rajiv Divekar
Keyword(s):  
Artificial Intelligence ◽  
Stock Market ◽  
Financial Services ◽  
Future Research ◽  
Individual Investors ◽  
Content Type ◽  
Advisory Services ◽  
Wealth Management ◽  
Management Scenario ◽  
Indian Stock Market

Purpose The purpose of this study is to gauge the awareness and perception of Indian individual investors about a new fintech innovation known as robo-advisors in the wealth management scenario. Robo-advisors are comprehensive automated online advisory platforms that help investors in managing wealth by recommending portfolio allocations, which are based on certain algorithms. Design/methodology/approach This is a phenomenological qualitative study that used five focussed group discussions to gather the stipulated information. Purposive sampling was used and the sample comprised investors who actively invest in the Indian stock market. A semi-structured questionnaire and homogeneous discussions were used for this study. Discussion time for all the groups was 203 min. One of the authors moderated the discussions and translated the audio recordings verbatim. Subsequently, content analysis was carried out by using the NVIVO 12 software (QSR International) to derive different themes. Findings Factors such as cost-effectiveness, trust, data security, behavioural biases and sentiments of the investors were observed as crucial points which significantly impacted the perception of the investors. Furthermore, several suggestions on different ways to enhance the awareness levels of investors were brought up by the participants during the discussions. It was observed that some investors perceive robo-advisors as only an alternative for fund/wealth managers/brokers for quantitative analysis. Also, they strongly believe that human intervention is necessary to gauge the emotions of the investors. Hence, at present, robo-advisors for the Indian stock market, act only as a supplementary service rather than a substitute for financial advisors. Research limitations/implications Due to the explorative nature of the study and limited participants, the findings of the study cannot be generalised to the overall population. Future research is imperative to study the dynamic nature of artificial intelligence (AI) theories and investigate whether they are able to capture the sentiments of individual investors and human sentiments impacting the market. Practical implications This study gives an insight into the awareness, perception and opinion of the investors about robo-advisory services. From a managerial perspective, the findings suggest that additional attention needs to be devoted to the adoption and inculcation of AI and machine learning theories while building algorithms or logic to come up with effective models. Many investors expressed discontent with the current design of risk profiles of the investors. This helps to provide feedback for developers and designers of robo-advisors to include advanced and detailed programming to be able to do risk profiling in a more comprehensive and precise manner. Social implications In the future, robo-advisors will change the wealth management scenario. It is well-established that data is the new oil for all businesses in the present times. Technologies such as robo-advisor, need to evolve further in terms of predicting unstructured data, improvising qualitative analysis techniques to include the ability to gauge emotions of investors and markets in real-time. Additionally, the behavioural biases of both the programmers and the investors need to be taken care of simultaneously while designing these automated decision support systems. Originality/value This study fulfils an identified gap in the literature regarding the investors’ perception of new fintech innovation, that is, robo-advisors. It also clarifies the confusion about the awareness level of robo-advisors amongst Indian individual investors by examining their attitudes and by suggesting innovations for future research. To the best of the authors’ knowledge, this study is the first to investigate the awareness, perception and attitudes of individual investors towards robo-advisors.

Emerging trends in digital transformation: a bibliometric analysis

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Raghu Nandan Chawla ◽  
Praveen Goyal
Keyword(s):  
Bibliometric Analysis ◽  
Business Models ◽  
Digital Technologies ◽  
Citation Network ◽  
Digital Transformation ◽  
Intellectual Structure ◽  
Future Research ◽  
Strategic Decisions ◽  
Content Type ◽  
Research Areas

PurposeUbiquitous digital technologies are driving organisations to embrace non-traditional digitally transformed business models incessantly. Heterogeneous literature contributions have resulted in a spur in the research related to business transformation driven by digital technologies in recent years; consequently, the research under the digital transformation (DT), even though becoming a hotspot, remains very fragmented. The authors endeavour to holistically present the literature's intellectual structure under DT as a concept, its evolving journey and the emerging research streams in the business and management domains using the techniques of bibliometric analysis.Design/methodology/approachBy performing bibliometric analysis on 234 research articles published over the last 20 years in the DT domain, retrieved from Thompson Reuters Web of Science TM, this study culls out thorough insights from the citation, co-citation and keyword analysis. Further emerging research streams were evaluated using VOSviewer software.FindingsThe study depicts an overall incremental trend of year-on-year publications, authors' performance, publication journals, associated institutions and research driving countries, along with key insights from co-citation network analysis. Furthermore, the study evaluates four research areas – organisational impacts, applied applications and insights, operational processes and social aspects, comprising eighteen research streams that comprehensively cover-up research under the DT domain.Research limitations/implicationsThe study contributes to the literature of DT by amalgamating the status of the present research, but more importantly, by deriving the research areas and research streams, which can be further expanded by researchers as future research streams.Practical implicationsFor the practitioners, the study aims to act as a ready reckoner repository with practice-oriented literature references to facilitate them building knowledge and taking effective strategic decisions to harness the benefits of DT more proficiently.Originality/valueThis study illustrates the bibliometric structure of the DT literature and presents insights from the growth of the literature year-on-year.

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.

Digital tools and smart technologies in marketing: a thematic evolution

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Estrella Diaz ◽  
Águeda Esteban ◽  
Rocío Carranza Vallejo ◽  
David Martín-Consuegra Navarro
Keyword(s):  
New Technologies ◽  
Market Competition ◽  
International Marketing ◽  
Digital Technologies ◽  
Future Research ◽  
Disruptive Technology ◽  
Content Type ◽  
Performance Determinants ◽  
Smart Technologies ◽  
The Impact

PurposeThis paper aims to analyze the evolution of digital and smart technologies and their relationship with different themes within marketing journals. In addition, this study has included the evolution of digital and smart technologies in relevant International Marketing (IM)/International Business (IB) journals to describe the impact of technology on this specific area to draw some interesting conclusions.Design/methodology/approachA bibliometric approach is applied in this research using science mapping analysis to visualize and reveal the evolution of smart and digital technologies in this specific academic area.FindingsBy combining science maps with performance indicators, the results of this study suggest that new technologies are related to eight main topics within marketing journals: implementation-completion, perceptions, behavior, market competition, adoption-diffusion model, social media, competitive advantage and disruptive technology. Additionally, this work provides new avenues for future research. When analyzing IM and IB journals, the findings highlight six thematic areas: perceptions-eWOM relationship, innovative foreign markets, performance determinants, Japan, industrial research and China.Originality/valueThis study contributes theoretically to developing and describing a framework for research in smart and digital technologies in the general marketing and international marketing/business fields. It adds a coherent perspective on the points of contact in marketing evolution, where smart technology has a meaningful role. This study outlines the changing questions surrounding the touchpoints as well as emerging research topics.

scholarly journals Continuous improvement initiatives for dynamic capabilities development

2020 ◽  
Vol 11 (1) ◽  
pp. 125-149
Author(s):  
Leopoldo Gutierrez-Gutierrez ◽  
Jiju Antony
Keyword(s):  
Continuous Improvement ◽  
Dynamic Capabilities ◽  
Success Factors ◽  
Future Research ◽  
Total Quality ◽  
Dominant Position ◽  
Content Type ◽  
Critical Success ◽  
The Usa

Purpose This study aims to analyse the existing literature on continuous improvement (CI) initiatives and dynamic capabilities (DCs) development to explore the question whether CI initiatives foster development of DCs in organisations. Design/methodology/approach A systematic literature review (SLR) was undertaken. Four databases were included in the structured searches (EBSCOhost, Web of Knowledge, Scopus, ProQuest and Emerald Insight), 19 studies were finally included and analysed in detail. Findings The results obtained identify issues such as a growing trend in the publication of studies, the dominant position of the USA and the predominance of empirical papers. The literature was classified according to whether it presents CI as a DC in itself, as an enabler of DC or as a result of the DC. The main critical success factors to be implemented in CI initiatives (CII) were also identified, to enhance the development of DCs. Finally, based on the analysis of the specific DC literature, ten theoretical propositions for possible future research have been developed. Originality/value CII such as Lean Management, Six Sigma and Total Quality Management have been widely implemented in organisations. Despite their reputation, the effects of these initiatives on long-term benefits remain debated, this motivates the SLR of CII and DC. The DC theory tackles the question of how firms can sustain their advantage and profits in the long term, making this perspective ideal for tackling controversy on the benefits of CII.

Understanding the internal audit function in a digitalised business environment

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nathanaël Betti ◽  
Gerrit Sarens
Keyword(s):  
Data Analytics ◽  
New Technologies ◽  
Internal Audit ◽  
Business Environment ◽  
Future Research ◽  
The European Union ◽  
Content Type ◽  
Internal Auditors ◽  
Internal Audit Function ◽  
The Impact

Purpose This paper aims to gain an in-depth understanding of how the internal audit function evolves in an increasingly digitalised business environment. Design/methodology/approach This paper is based on 29 semi-structured interviews with members of management committees and internal auditors based in Belgium. Findings The analysis reveals that a digitalised business environment affects the internal audit function in three respects. First, it impacts its scope. The agility of the internal audit planning and the required digital knowledge are expected to increase and information technology (IT) risks gain importance, especially cybersecurity threats. Second, the demand for consulting activities performed by internal auditors is higher and third, digitalisation modifies the working practices of internal auditors in their day-to-day tasks. New technologies such as data analytics tools are being implemented progressively in internal audit departments and digital skills are considered a critical asset. Research limitations/implications This research was conducted in the European Union and gathers opinions of members of management committees and internal auditors. Future research could focus on other internal auditing stakeholders in other legal contexts. Practical implications The internal audit function needs to integrate IT and data analytics skills. In addition, the internal audit function should develop consulting activities to help organisations deal with the digitalisation of the business environment. Originality/value The impact of digitalisation on the internal audit function and its effect on internal audit practices is an underexplored area.

The disruptive and transformative potential of new technologies for accounting, accountants and accountability

2019 ◽  
Vol 27 (5) ◽  
pp. 677-694 ◽  
Author(s):  
Mauricio Marrone ◽  
James Hazelton
Keyword(s):  
New Technologies ◽  
Future Research ◽  
Special Issue ◽  
Content Type ◽  
Accounting Research ◽  
Prior Literature ◽  
Potential Benefits ◽  
Important Field ◽  
Key Topics ◽  
Environmental Causes

Purpose 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. Design/methodology/approach 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. Findings 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. Research limitations/implications 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. Originality/value 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.

Ambidexterity strategic model-behavior logic and path choice

2017 ◽  
Vol 11 (4) ◽  
pp. 751-777
Author(s):  
Zijie Li ◽  
Qiuling Gao
Keyword(s):  
Knowledge Base ◽  
New Technologies ◽  
Explanatory Power ◽  
Future Research ◽  
Chinese Society ◽  
Manufacturing Companies ◽  
Content Type ◽  
Alternative Framework ◽  
Strategic Model

Purpose The purpose of this paper is to offer an alternative framework and solution for balancing exploitation–exploration tensions and their management. Design/methodology/approach A case study method was adopted to uncover what underlies tensions and contradictions between exploitation–exploration that emerge for Chinese manufacturing companies due to the competitive global environment and their latecomer disadvantages when they source new technologies by cross-border mergers and acquisitions. The acquiring firm that acquires two companies is thus not a single but a cross-case study. Findings The authors present three contradictory points needing to be balanced and according to which three paradoxes emerge: exploitation from a similar knowledge base and innovation from a complementary knowledge base, efficiency and flexibility, as well as profit and breakthroughs. The authors theorize how paradoxical integration helps manage these interwoven tensions. Further, the assimilate-integration-apply (AIA) path suggests a new behavior logic and path choice for Chinese companies when they follow an ambidextrous strategy. Research limitations/implications This paper has implications for future research and for companies’ everyday practice on ambidexterity in Chinese society. Originality/value The authors combine ambidexterity perspective and AIA path with linkage-leverage-learning (LLL) to offer an alternative framework and solution for balancing exploitation–exploration paradoxes in EE firms’ internationalization to increase LLL’s explanatory power.

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