Organizational AI Readiness : Evaluating Employee Attitudes and Management Responses

Background - As a result of the latest advances in artificial intelligence (AI), the world ofbusiness is facing a major transformation where basic organizational principlesare redefined initiating a new era. It is predicted that AI in the coming decadeswill make a significant imprint and organizatio...

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Main Authors: Ek, Lina, Ström, Sanna
Format: Others
Language:English
Published: Jönköping University, Internationella Handelshögskolan 2021
Subjects:
AI
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-53412
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spelling ndltd-UPSALLA1-oai-DiVA.org-hj-534122021-06-19T05:28:15ZOrganizational AI Readiness : Evaluating Employee Attitudes and Management ResponsesengEk, LinaStröm, SannaJönköping University, Internationella HandelshögskolanJönköping University, Internationella Handelshögskolan2021AIAI readinesschange attitudeschange managementemotional attitudesemployee attitudesIndustry 4.0rational attitudesEngineering and TechnologyTeknik och teknologierBackground - As a result of the latest advances in artificial intelligence (AI), the world ofbusiness is facing a major transformation where basic organizational principlesare redefined initiating a new era. It is predicted that AI in the coming decadeswill make a significant imprint and organizations aiming to stay at the forefrontcannot afford not to change. AI adoption can bring great benefits to organizationswhere a crucial factor is to establish AI readiness. However, as in any change,different perceptions are raised among employees which can either hinder orfoster organizational AI readiness, placing leaders in a crucial position. Purpose - The purpose of this study is to investigate how managers can foster organizationalAI readiness by understanding distinctive features of employee AI attitudes. Byidentifying how employees develop change attitudes towards AI, the opportunityto explore how managers should respond to these attitudes in order to achieve AIreadiness opens. Method - To gain a greater understanding of the phenomenon managing AI attitudes and tofulfil the purpose of the study, a mix of a qualitative and quantitative researchmethodology was used. The empirical data were abductively collected through asingle case study via a survey containing 80 respondents and through a focusgroup including six participants holding different roles affected by an AIimplementation. The empirical data were processed using thematic analysis andfurther analysed through systematic combining. Conclusions - The conclusions in this study confirm already existing theory. It also expands itas the phenomenon managing attitudes towards AI change was placed in a newcontext. The research results indicate that employees’ change attitudes towardsAI are affected by the organizational AI maturity, personal interest, and personaland organizational AI knowledge. They also indicate that employees develop theirchange attitudes towards AI depending on how managers handle or not handletheir attitudes. Finally, four dimensions along which leaders should manageemployee change attitudes to promote AI readiness were elaborated. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-53412application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic AI
AI readiness
change attitudes
change management
emotional attitudes
employee attitudes
Industry 4.0
rational attitudes
Engineering and Technology
Teknik och teknologier
spellingShingle AI
AI readiness
change attitudes
change management
emotional attitudes
employee attitudes
Industry 4.0
rational attitudes
Engineering and Technology
Teknik och teknologier
Ek, Lina
Ström, Sanna
Organizational AI Readiness : Evaluating Employee Attitudes and Management Responses
description Background - As a result of the latest advances in artificial intelligence (AI), the world ofbusiness is facing a major transformation where basic organizational principlesare redefined initiating a new era. It is predicted that AI in the coming decadeswill make a significant imprint and organizations aiming to stay at the forefrontcannot afford not to change. AI adoption can bring great benefits to organizationswhere a crucial factor is to establish AI readiness. However, as in any change,different perceptions are raised among employees which can either hinder orfoster organizational AI readiness, placing leaders in a crucial position. Purpose - The purpose of this study is to investigate how managers can foster organizationalAI readiness by understanding distinctive features of employee AI attitudes. Byidentifying how employees develop change attitudes towards AI, the opportunityto explore how managers should respond to these attitudes in order to achieve AIreadiness opens. Method - To gain a greater understanding of the phenomenon managing AI attitudes and tofulfil the purpose of the study, a mix of a qualitative and quantitative researchmethodology was used. The empirical data were abductively collected through asingle case study via a survey containing 80 respondents and through a focusgroup including six participants holding different roles affected by an AIimplementation. The empirical data were processed using thematic analysis andfurther analysed through systematic combining. Conclusions - The conclusions in this study confirm already existing theory. It also expands itas the phenomenon managing attitudes towards AI change was placed in a newcontext. The research results indicate that employees’ change attitudes towardsAI are affected by the organizational AI maturity, personal interest, and personaland organizational AI knowledge. They also indicate that employees develop theirchange attitudes towards AI depending on how managers handle or not handletheir attitudes. Finally, four dimensions along which leaders should manageemployee change attitudes to promote AI readiness were elaborated.
author Ek, Lina
Ström, Sanna
author_facet Ek, Lina
Ström, Sanna
author_sort Ek, Lina
title Organizational AI Readiness : Evaluating Employee Attitudes and Management Responses
title_short Organizational AI Readiness : Evaluating Employee Attitudes and Management Responses
title_full Organizational AI Readiness : Evaluating Employee Attitudes and Management Responses
title_fullStr Organizational AI Readiness : Evaluating Employee Attitudes and Management Responses
title_full_unstemmed Organizational AI Readiness : Evaluating Employee Attitudes and Management Responses
title_sort organizational ai readiness : evaluating employee attitudes and management responses
publisher Jönköping University, Internationella Handelshögskolan
publishDate 2021
url http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-53412
work_keys_str_mv AT eklina organizationalaireadinessevaluatingemployeeattitudesandmanagementresponses
AT stromsanna organizationalaireadinessevaluatingemployeeattitudesandmanagementresponses
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