scholarly journals Artificial intelligence and robots in individuals' lives: how to align technological possibilities and ethical issues

2021 ◽  
Vol 31 (1) ◽  
pp. 1-10
Author(s):  
Ting-Peng Liang ◽  
Lionel Robert ◽  
Suprateek Sarker ◽  
Christy M.K. Cheung ◽  
Christian Matt ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Ethical Issues ◽  
Panel Discussion ◽  
Personal Life ◽  
Future Research ◽  
Life Domains ◽  
Alphabetical Order ◽  
Research Directions ◽  
Content Type ◽  
Research Fields

PurposeThis paper reports the panel discussion on the topic of artificial intelligence (AI) and robots in our lives. This discussion was held at the Digitization of the Individual (DOTI) workshop at the International Conference on Information Systems in 2019. Three scholars (in alphabetical order: Ting-Peng Liang, Lionel Robert and Suprateek Sarker) who have done AI- and robot-related research (to varying degrees) were invited to participate in the panel discussion. The panel was moderated by Manuel Trenz.Design/methodology/approachThis paper introduces the topic, chronicles the responses of the three panelists to the questions the workshop chairs posed and summarizes their responses, such that readers can have an overview of research on AI and robots in individuals' lives and insights about future research directions.FindingsThe panelists discussed four questions with regard to their research experiences on AI- and robot-related topics. They expressed their viewpoints on the underlying nature, potential and effects of AI in work and personal life domains. They also commented on the ethical dilemmas for research and practice and provided their outlook for future research in these emerging fields.Originality/valueThis paper aggregates the panelists' viewpoints, as expressed at the DOTI workshop. Crucial ethical and theoretical issues related to AI and robots in both work and personal life domains are addressed. Promising research directions to these cutting-edge research fields are also proposed.

Public participation in infrastructure projects: an integrative review and prospects for the future research

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Han Xiao ◽  
Shengyue Hao
Keyword(s):  
Public Participation ◽  
Future Research ◽  
Knowledge Map ◽  
Main Body ◽  
Infrastructure Projects ◽  
Research Directions ◽  
Content Type ◽  
Research Framework ◽  
Research Fields ◽  
The Future

PurposeIn the past few decades, traditional project management theories mainly focused on quality, cost and schedule. However, with larger scale and wider influence of infrastructure projects, especially in megaprojects, social problems have gradually become pressing issues in the field of project governance. As the public is the main body of society, public participation has attracted the attention from both the academic field and industry field. Despite people are gradually realizing the significance of public participation, a deeper and more systematic understanding is still needed to be developed in this field. Therefore, this paper aims to conduct a systematic literature review on public participation in infrastructure projects. Based on existing literatures, this paper draws a knowledge map and develops a research framework in this field. Also, this paper tries to provide some theoretical and practical directions for the future.Design/methodology/approachIn total, 142 papers from Web of Science Core collection were selected to be used in this systematic review. Quantitative analysis of this paper is concentrated on the knowledge map with bibliometric tools. Qualitative analysis is concentrated on identifying the research framework.FindingsThis paper reviewed existing literatures and the results are as below. Firstly, the results show a knowledge map containing knowledge domains, knowledge frontiers and knowledge evolution of research fields in public participation. Secondly, the results indicate a research framework in this field, including situational dimension, implementation dimension, individual dimension and influence dimension. Moreover, each dimension has several research topics, respectively. Finally, according to the results, the paper proposes practical suggestions for stakeholders and research directions for further study.Originality/valueIt is the first paper to draw a holistic knowledge map and build up a multilevel framework for public participation in the field of infrastructure projects. This paper bridges the gap in both quantitative and qualitative identification of existing literatures in this field. Besides, this paper proposes some practical suggestions and research directions for further study and development of public participation.

The contemporary state of big data analytics and artificial intelligence towards intelligent supply chain risk management: a comprehensive review

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Harsh M. Shah ◽  
Bhaskar B. Gardas ◽  
Vaibhav S. Narwane ◽  
Hitansh S. Mehta
Keyword(s):  
Artificial Intelligence ◽  
Supply Chain ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Future Research ◽  
Supply Chain Risk Management ◽  
Supply Chain Risk ◽  
Research Directions ◽  
Content Type ◽  
Future Research Directions

PurposeThis paper aims to conduct a systematic literature review of the research in the field of Artificial Intelligence (AI) and Big Data Analytics (BDA) in Supply Chain Risk Management (SCRM). Finally, future research directions in this field have been suggested.Design/methodology/approachThe papers were searched using a set of keywords in the SCOPUS database. These papers were filtered using the Title abstract keywords principle. Further, more papers were found using the forward-backward referencing method. The finalized papers were then classified into eight categories.FindingsThe previous papers in AI and BDA in SCRM were studied. These papers emphasized various modelling and application techniques for AI and BDA in making the supply chain (SC) more resilient. It was found that more research has been done into conceptual modelling rather than real-life applications. It was seen that the use of AI-based techniques and structural equation modelling was prominent.Practical implicationsAI and BDA help build the risk profile, which will guide the decision-makers and risk managers make their decisions quickly and more effectively, reducing the risks on the SC and making it resilient. Other than this, they can predict the risks in disasters, epidemics and any further disruption. They also help select the suppliers and location of the various elements of the SC to reduce the lead times.Originality/valueThe paper suggests various future research directions that fellow researchers can explore. None of the previous research examined the role of BDA and AI in SCRM.

Applications of artificial intelligence and machine learning within supply chains:systematic review and future research directions

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hassan Younis ◽  
Balan Sundarakani ◽  
Malek Alsharairi
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Supply Chain ◽  
Future Research ◽  
Unique Contribution ◽  
Research Directions ◽  
Holistic View ◽  
Content Type ◽  
Future Research Directions ◽  
Research Studies

Purpose The purpose of this study is to investigate how artificial intelligence (AI), as well as machine learning (ML) techniques, are being applied and implemented within supply chains (SC) and to develop future research directions from thereof. Design/methodology/approach Using a systematic literature review methodology, this study analyzes the publications available on Web of Science, Scopus and Google Scholar that linked both AI and supply chain from one side and ML and supply chain from another side. A total of 388 research studies have been identified through the before said three database searches which are further screened, sorted and finalized with 50 studies. The research thoroughly reviews and analyzes the final lists of 50 studies that were found relevant and significant to the theme of AI and ML in supply chain management (SCM). Findings AI and ML applications are still at the infant stage and the opportunity for them to elevate supply chain performance is very promising. Some researchers developed AI and ML-related models which were tested and proved to be effective in optimizing SC, and therefore, the application of AI and ML in supply chain networks creates competitive advantages for firms. Other researchers claim that AI and ML are both currently adding value while many other researchers believe that they are still not fully exploited and their tools and techniques can leverage the supply chain’s total value. The research found that adoption of AI and ML have the ability to reduce the bullwhip effect, and therefore, further supports the performance of supply chain efficiency and responsiveness. Research limitations/implications This research was limited in terms of scope as it covered AI and ML applications in the supply chain while there are other dimensions that could be investigated such as big data and robotics but it was found too lengthy to include these additional dimensions, and therefore, left for future research studies that other researchers could explore and pursue. Practical implications This study opens the door wide for other researchers to explore how AI and ML can be adopted in SCM and what are the models that are already tested and proven to be viable. In addition, the paper also identified a group of research studies that confirmed the unexploited avenues of AI and ML which could be of high interest to other researchers to explore. Originality/value Although few earlier research studies touch based on the AI applications within manufacturing and transportation, this study is different and makes a unique contribution by offering a holistic view on the AI and ML implications within SC as a whole. The research carefully reviews a number of highly cited papers classifying them into three main themes and recommends future direction.

Panel report: the dark side of the digitization of the individual

2019 ◽  
Vol 29 (2) ◽  
pp. 274-288 ◽  
Author(s):  
Ofir Turel ◽  
Christian Matt ◽  
Manuel Trenz ◽  
Christy M.K. Cheung ◽  
John D’Arcy* ◽  
...  
Keyword(s):  
Design Methodology ◽  
Past Research ◽  
Dark Side ◽  
Future Research ◽  
Negative Effects ◽  
Alphabetical Order ◽  
Research Directions ◽  
Content Type ◽  
The Individual ◽  
New Phenomena

Purpose Digital technologies have diffused into many personal life domains. This has created many new phenomena that require systematic theorizing, testing and understanding. Such phenomena have been studied under the Digitization of the Individual (DOTI) umbrella and have been discussed in the DOTI pre-International Conference on Information Systems workshop for the last three years (from 2015 to 2017). While prior years have focused on a variety of issues, this year (2018) we decided to put special emphasis on negative effects of the DOTI, i.e., “the dark side” of the DOTI. Design/methodology/approach This manuscript reports on a panel of three experts (in alphabetical order: John D’Arcy, Hamed Qahri-Saremi and Monideepa Tarafdar) who presented their past research in this domain, as well as their outlook for future research and methodologies in research on the DOTI. Findings The authors introduce the topic, chronicle the responses of the panelists to the questions the authors posed, and summarize and discuss their response, such that readers can develop a good idea regarding next steps in research on the dark side of the DOTI. Originality/value The authors introduce the topic of the dark sides of DOTI and point readers to promising research directions and methodologies for further exploring this relatively uncharted field of research.

Social media and consumer engagement: a review and research agenda

2016 ◽  
Vol 10 (4) ◽  
pp. 268-287 ◽  
Author(s):  
Victor Barger ◽  
James W. Peltier ◽  
Don E. Schultz
Keyword(s):  
Social Media ◽  
Recent Literature ◽  
Future Research ◽  
Consumer Engagement ◽  
Research Directions ◽  
Content Type ◽  
Future Research Directions ◽  
Antecedents And Consequences ◽  
Area Of Concern ◽  
Definition Of

Purpose In “Social media’s slippery slope: challenges, opportunities and future research directions”, Schultz and Peltier (2013) asked “whether or how social media can be used to leverage consumer engagement into highly profitable relationships for both parties”. The purpose of this article is to continue this discussion by reviewing recent literature on consumer engagement and proposing a framework for future research. Design/methodology/approach The paper reviews the marketing literature on social media, paying particular attention to consumer engagement, which was identified as a primary area of concern in Schultz and Peltier (2013). Findings A significant amount of research has been conducted on consumer engagement since 2010. Lack of consensus on the definition of the construct has led to fragmentation in the discipline, however. As a result, research related to consumer engagement is often not identified as such, making it difficult for academics and practitioners to stay abreast of developments in this area. Originality/value This critical review provides marketing academics and practitioners insights into the antecedents and consequences of consumer engagement and offers a conceptual framework for future research.

Future research directions for sport education: toward an entrepreneurial learning approach

2018 ◽  
Vol 60 (5) ◽  
pp. 490-499 ◽  
Author(s):  
Vanessa Ratten ◽  
Paul Jones
Keyword(s):  
Academic Research ◽  
Interdisciplinary Approach ◽  
Entrepreneurship Education ◽  
Future Research ◽  
Learning Approach ◽  
Sport Education ◽  
Research Directions ◽  
Entrepreneurial Learning ◽  
Content Type ◽  
Future Research Directions

PurposeThe purpose of this paper is to introduce an entrepreneurial learning approach to the study of sport education in order to inform future research directions.Design/methodology/approachSport education needs to focus on how it can overcome existing barriers to bring a more interdisciplinary approach. This paper uses entrepreneurship education theory to explore the changes required in sport education provision to create a more relevant and conducive teaching environment.FindingsThe findings of this paper suggest that by bringing sport students into contact with entrepreneurship education, aids in the development of improved employability and social skills.Research limitations/implicationsIntroducing entrepreneurship education into sport will help the students develop learning initiatives that advance the scholarship of sport education within the university sector.Practical implicationsThe benefits of including entrepreneurship education in sport studies could be of interest to the directors of education wanting to increase student enrollments and interest in their courses.Originality/valueThe study suggests ways to offer more interdisciplinary courses and activities linking entrepreneurship education to sport. This needs to be taken into consideration as it will enable the development of sport entrepreneurship education that improves links between academic research with policy and business initiatives.

Exploring climate finance for tourism adaptation development: an overview

2016 ◽  
Vol 8 (5) ◽  
pp. 593-605 ◽  
Author(s):  
Daniele Vieira do Nascimento
Keyword(s):  
Climate Change ◽  
Literature Review ◽  
English Language ◽  
Small Island ◽  
Future Research ◽  
Climate Finance ◽  
Content Type ◽  
Main Research ◽  
Research Fields ◽  
New Research

Purpose The purpose of this paper is to provide an overview of the links between climate finance and tourism adaptation development. Besides increasing adaptation and mitigation efforts to limit greenhouse gas emissions, climate change remains a major challenge in the twenty-first century and beyond especially for tourism which is highly climate sensitive. Hence, it is necessary for tourism to adapt to survive. The aim of the study is to provide a systematic overview of the topic to offer a foundation for better understanding different ways of integrating climate finance initiatives with tourism. Design/methodology/approach The research focused on the top-ranked, peer reviewed journals of each of the two selected research fields. To address this topic, an in-depth systematic literature review in the fields of climate change finance and tourism adaptation development was conducted. Furthermore, because it is a relatively new research topic, conference proceedings were also explored. To guarantee wide coverage of the literature, a query of the following scholarly databases was considered: Elsevier, ScienceDirect and Web of Science. Findings Based on the analyses of the literature available on the topic, the paper highlights the main research trends and conclusions. It is argued that there is imbalance of knowledge on climate change finance as it relates to tourism. To date, there have been relatively few published articles on this topic in the context of tourism. Based on the findings, promising areas for future research were identified, and in particular for small island communities and recommendations for future research are outlined. Research limitations/implications The paper is limited by the scope of the literature review accessed by the researcher. The results of this review may vary according to the databases used. Originality/value Currently, there is no extensive review of articles on climate finance and tourism adaptation. This paper aims at reviewing climate finance studies published in English language to explore knowledge gaps in tourism adaptation. Sets of themes being advanced are also highlighted. Recommendations for future research are provided.

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.

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