{"id":7282,"date":"2018-10-08T14:36:44","date_gmt":"2018-10-08T18:36:44","guid":{"rendered":"http:\/\/www.servsig.org\/wordpress\/?p=7282"},"modified":"2018-11-26T15:44:47","modified_gmt":"2018-11-26T20:44:47","slug":"cfp-josm","status":"publish","type":"post","link":"https:\/\/www.servsig.org\/wordpress\/2018\/10\/cfp-josm\/","title":{"rendered":"CfP JOSM: AI and Machine Learning in Service Management"},"content":{"rendered":"

\"\"Special issue call for papers from Journal of Service Management<\/em><\/p>\n

AI and Machine Learning in Service Management<\/strong><\/p>\n

Submission deadline for extended abstracts: March 30, 2019
\nFull paper submissions for invited papers May 15, 2019<\/p>\n

Guest Editors<\/strong>
\nDr. Kristina Heinonen, Hanken School of Economics, Finland
\nDr. Jan Kietzmann, Gustavson School of Business, University of Victoria, Canada
\nDr. Leyland Pitt, Beedie School of Business, Simon Fraser University, Canada<\/p>\n

Journal of Service Management 2017 Impact factor 3.414; with a 5 year impact factor of 5.407<\/p>\n

Overview<\/strong>
\nThe Journal of Service Management is calling for submissions for a special issue on \u201cArtificial Intelligence and Machine Learning in Service Management\u201d.
\nOver the last decade, key technological advances in artificial intelligence (AI) and machine learning have caught the attention of practitioners and researchers who are interested in learning how firms can use these technologies effectively. As a result, relatively general calls for research on AI and machine learning are amassing, both for solid foundations that provide useful and highly citable frameworks and typologies and for more nuanced research of the application of such technologies. AI has to do with the theory and development of computer systems able to perform tasks normally requiring human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. Machine learning in turn is a subset of artificial intelligence that often uses statistical techniques to give computers the ability to “learn” (i.e., progressively improve performance on a specific task) with data, without being explicitly programmed to do so.
\nWe propose to add to the emerging body of research by focusing directly on AI and machine learning in the specific context of service management. All types of services are already significantly impacted by AI and machine learning, including R&D, product design, accounting, legal, advertising, logistics, supply chain and post-sale services. Outside of the firm, and in a more general sense, AI and machine learning are reshaping services such as communication, transportation, utilities, banking, insurance and health care, to name only a few. We believe a special issue that concentrates directly on these and other areas can really shed light on the current and future impact of AI and machine learning on services and the way they are managed. With this goal, we encourage either conceptual papers or empirical papers contributing to an enhanced understanding of the impact of these technologies on service management. As a host of activities in services organizations will be affected by these technologies, authors might address issues related to service operations, service delivery systems, human resources management, and service marketing.
\nPossible topics of interest include, but are not limited to:
\nAI and machine learning and
\n\u2022 their impact on competition, service strategies and tactics
\n\u2022 new service development and innovation
\n\u2022 their influence on the production\/consumption service encounter
\n\u2022 relationship management and the changing seller-buyer relationship\/culture
\n\u2022 supply chain management
\n\u2022 value creation in services
\n\u2022 customer experiences
\n\u2022 service operations
\n\u2022 service robotics and automation
\n\u2022 human resource management
\n\u2022 ethical issues, privacy and data management<\/p>\n

Submission<\/strong><\/p>\n

All papers should be submitted through ScholarOne Manuscript Central online submission system http:\/\/mc.manuscriptcentral.com\/josm. All manuscripts submitted must not have been published, accepted for publication, or be currently under consideration elsewhere.
\nManuscripts should be submitted in accordance with the author guidelines available on the journal home page at http:\/\/www.emeraldgrouppublishing.com\/products\/journals\/author_guidelines.htm?id=JOSM <\/a>
\nPlease make sure you select the special issue \u201cAI and Machine Learning in Service Management\u201d when submitting your manuscript.<\/p>\n

The deadline for extended abstracts is March 30, 2019. and the authors of the selected papers will be invited to submit their full paper on or before May 15 2019.<\/p>\n

Expected publication<\/strong>: Volume 30 2020<\/p>\n

Key dates<\/strong><\/p>\n

30 March 2019 Extended abstract deadline
\n15 May 2019 Full submission deadline
\n30 July 2019 Authors notified of outcome of first review (reject\/revise)
\nNovember 2019 Final outcome of accepted manuscripts
\nArticles submitted should not have been published before in their current (or substantially similar) form and should not be under consideration for publication elsewhere. Please see Emerald’s originality guidelines for further details.<\/p>\n

Further information
\nFor questions regarding the content of this special issue, please contact the guest editors:<\/p>\n

Dr. Jan Kietzmann
\njkietzma@uvic.ca<\/p>\n

Dr. Leyland Pitt
\nlpitt@sfu.ca<\/p>\n

Dr. Kristina Heinonen
\nkristina.heinonen@hanken.fi<\/p>\n","protected":false},"excerpt":{"rendered":"

Special issue call for papers from Journal of Service Management AI and Machine Learning in Service Management Submission deadline for extended abstracts: March 30, 2019 Full paper submissions for invited papers May 15, 2019 Guest Editors Dr. Kristina Heinonen, Hanken School of Economics, Finland Dr. Jan Kietzmann, Gustavson School of Business, University of Victoria, Canada […]<\/p>\n","protected":false},"author":1,"featured_media":2281,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5,10],"tags":[],"_links":{"self":[{"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/posts\/7282"}],"collection":[{"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/comments?post=7282"}],"version-history":[{"count":3,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/posts\/7282\/revisions"}],"predecessor-version":[{"id":7544,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/posts\/7282\/revisions\/7544"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/media\/2281"}],"wp:attachment":[{"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/media?parent=7282"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/categories?post=7282"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.servsig.org\/wordpress\/wp-json\/wp\/v2\/tags?post=7282"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}