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Effects of Abilities of Data Analyst Teams and AI Development

2020 | Americas Conference on Information Systems | Citations: 0
Authors: Sharma, Madhav; Biros, David

Abstract: Artificial intelligence (AI) and machine learning (ML) offer promising technolo ... Expand

Abstract: Artificial intelligence (AI) and machine learning (ML) offer promising technologies in areas such as healthcare, transportation, and finance. Yet, many recent cases show a negative side of AI/ML applications. From sexist hiring tools to racist chat-bots, societal bias is propagating in these applications from the data or the developers and leading to undesirable consequences. Using analogical reasoning theory, this research proposes a model that examines the effect of abilities and skills of the AI/ML application development teams on development processes and AI outcomes. This research hypothesizes that teams' mean knowledge (in terms of breadth and depth) has a positive effect on quality of AI development process, which can further lead to better performance. It also posits a moderating effect of Bottom line mentality on the hypothesized relationships. This research contributes to systems development literature and introduces a novel measurement for knowledge networks. Collapse

Semantic filters: theory of analogical reasoning

Topics: artificial intelligence systems development team productivity

Methods: survey

Theories: theory of analogical reasoning
Jack of All, Master of Some: Information Network and Innovation in Crowdsourcing Communities
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2019 | Information Systems Research | Citations: 46
Authors: Hwang, Elina H.; Singh, Param Vir; Argote, Linda

Abstract: This study investigates how the information that individuals accumulate through ... Expand

Abstract: This study investigates how the information that individuals accumulate through helping others in a customer support crowdsourcing community inﬂuences their ability to generate novel, popular, and feasible ideas in an innovation crowdsourcing community. A customer support crowdsourcing community is one in which customers help each other develop solutions to their current problems with a company’s products. An innovation crowdsourcing community is one in which customers propose new product ideas directly to a company. Because a customer support community provides information regarding customers’ current needs and provides opportunities to help individuals activate relevant means information, we expect that an individuals’ experience of helping in a customer support community enhances the individuals’ new product ideation performance. By utilizing a natural language processing technique, we construct each individual’s information network based on his or her helping activities in a customer support community. Building on analogical reasoning theory, we hypothesize that the patterns of individuals’ information networks, in terms of breadth and depth, inﬂuence their various new product ideation outcomes in an innovation crowdsourcing community. Our analysis reveals that generalists who have offered help on broad topic domains in the customer support community are more likely to create novel ideas than are nongeneralists. Further, we ﬁnd that generalists who have accumulated deep knowledge in at least one topic domain (deep generalists) outperform nongeneralists in their ability to generate popular and feasible ideas, whereas generalists who have accumulated only shallow knowledge across diverse domain areas (shallow generalists) do not. The results suggest that the ability of generalists to outperform nongeneralists in creating popular and feasible ideas is contingent on whether they have also accumulated deep knowledge. Collapse

Semantic filters: theory of analogical reasoning

Topics: innovation management crowdsourcing social network logistics management individual characteristic

Methods: sensitivity analysis robustness check natural language processing experimental group regression analysis method

Theories: theory of analogical reasoning theory of design fixation
From sovereign IT governance to liberal IT governmentality? A Foucauldian analogy
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2018 | European Journal of Information Systems | Citations: 0
Authors: Leclercq-Vandelannoitte, Aurélie; Bertin, Emmanuel

Abstract: Changes in the technological and societal environments that surround organisatio ... Expand

Abstract: Changes in the technological and societal environments that surround organisations have disrupted the classic governance frameworks that corporate and information technology (IT) managers have designed to align IT uses with organisational missions, strategy, and values. The formerly “sovereign territory” of IT departments has been invaded, jeopardised by the autonomy of individual users and the changing nature of IT. Thus questions of IT governance in the age of IT consumerisation are highly critical. In response, this theoretical article introduces an alternative approach, relying on the philosophy of Michel Foucault and his concept of governmentality. The proposed liberal model of IT governance provides a sound foundation to address the challenges associated with modern technological and societal environments in which today’s organisations must evolve. The inferences and analytic implications related to this new liberal model of IT governance lead to the development of a set of governance principles and propositions to guide practice and further research. Collapse

Semantic filters: theory of analogical reasoning

Topics: IT governance information system use enterprise information system information systems strategy IT manager

Methods: theory development case study theoretical contribution

Theories: theory of analogical reasoning
Generating suggestions through document structure mapping
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1996 | Decision Support Systems | Citations: 0
Authors: Chen, Zhengxin

Abstract: In this article we discuss the role of analogical reasoning for decision making ... Expand

Abstract: In this article we discuss the role of analogical reasoning for decision making and creativity support. In particular, we investigate the issue of how to apply structure mapping theory of analogical reasoning so that when requested information is not available, a new document can be generated through analogical reasoning using structure mapping. We also describe an implementation using schema-free relational databases, in which document structure mapping is realized as new tuple generation in schema-free relational databases. Collapse

Semantic filters: theory of analogical reasoning

Topics: relational database information retrieval decision making problem solving knowledge base

Methods: computational algorithm natural language processing document generation mathematical model

Theories: structure mapping theory theory of analogical reasoning

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Found 4 articles

Effects of Abilities of Data Analyst Teams and AI Development

Jack of All, Master of Some: Information Network and Innovation in Crowdsourcing Communities

From sovereign IT governance to liberal IT governmentality? A Foucauldian analogy

Generating suggestions through document structure mapping