1 2 Review 4 A journey from normative to behavioral operations in supply chain 5 management: A review using Latent Semantic Analysis 6 7 8 Anirban Kundu a Q1 , Vipul Jain b , Sameer Kumar c,⇑ , Charu Chandra d 9 a Industrial Engineering Program, Department of Mechanical Engineering, Indian Institute of Technology Delhi, Hauz Khas, New Delhi 110016, India 10 b Department of Industrial Engineering and Management, University of Sharjah, P. O. Box 27272, Sharjah, United Arab Emirates 11 c Department of Operations and Supply Chain Management, Opus College of Business, University of St. Thomas, 1000 LaSalle Avenue, Minneapolis, MN 55403-2005, USA 12 d Department of Management Studies, University of Michigan – Dearborn, College of Business Administration, FCS 183, 19000 Hubbard Drive, Dearborn, MI 48126-2638, USA 13 14 16 article info 17 Article history: 18 Available online xxxx 19 Keywords: 20 Behavioral operations 21 Literature review 22 Latent Semantic Analysis 23 Supply chain management 24 Taxonomy of power influences in supply 25 chain 26 Data and text mining 27 28 abstract 29 This study aims to systematically review the cross disciplinary literature covering the time period from 30 1934 to January 2013 on behavioral operations in supply chain in order to identify and define the taxon- 31 omy of the research on power influences in supply chain. A list of noted journals and search results from 32 Science Direct and Web of Knowledge, IEEE Xplore, and INFORMS (approximately 11,000 journal articles) 33 is used to prepare content collection. Latent Semantic Analysis (LSA) is applied as the review and knowl- 34 edge extraction methodology. Using the text analysis and mining method we can combine statistical 35 methods and expert human judgment to extract knowledge in the form of key latent factors. The LSA 36 based analysis gives the study a scientific grounding which helps to overcome the subjectivity of collec- 37 tive opinion about the trends. This approach allows proposing taxonomy of the research on power influ- 38 ences in supply chain. The adopted systems approach is used to find research gaps in each class of 39 taxonomy. An emerging trend is noticed in the research of behavioral operations in supply chain. Under- 40 standing such a scholarly structure and future trends will assist researchers to assimilate the divergent 41 developments of this multidisciplinary research in one place. This review will be beneficial for practitio- 42 ners as they consider behavioral aspects in decision making. We have also studied articles related to sup- 43 ply chain published in Expert Systems with Applications (ESWA) journal. We have speculated what an 44 ESWA-related community would like to see in future publications. This will encourage researchers to 45 explore the recommended areas and publish to these outlets. 46 Ó 2014 Published by Elsevier Ltd. 47 48 49 50 1. Introduction 51 The term ‘‘supply chain management’’ was first coined by a 52 Booz Allen consultant, Keith Oliver, in 1982. Supply Chain Manage- 53 ment (SCM) has been theorized over the last 30 years. Different 54 relational approaches for interorganizational interplay, namely 55 cooperation, coordination, and collaboration have been taken up 56 to enhance the performance of a Supply Chain (SC) (Albino, 57 Dangelico, & Pontrandolfo, 2012; Atanasova & Senn, 2011; Caro & 58 Gallien, 2012; Faraj, Jarvenpaa, & Majchrzak, 2011; Kim, Ha, Lee, 59 Jo, & El-Saddik, 2011; Kim & Netessine, 2013; Klassen & 60 Vereecke, 2012; Kravari, Bassiliades, & Boley, 2012; Lavie & Drori, 61 2012; Liu & Zhang, 2013; Lozano, Moreno, Adenso-Díaz, & 62 Algaba, 2013; Nyaga, Whipple, & Lynch, 2010; Peng, Heim, & 63 Mallick, 2012; Pietrobelli & Rabellotti, 2011; Pimentel Claro & 64 Oliveira Claro, 2010; Rodríguez Monroy & Vilana Arto, 2010; 65 Smirnova, Henneberg, Ashnai, Naudé, & Mouzas, 2011; Tang, 66 2010; Topolsek, Cizman, & Lipicnik, 2010; Verma, Mishra, & 67 Sinha, 2011; Wu, Loch, & Ahmad, 2011; Xia, Xiao, & Zhang, 2013; 68 Yoon & Nof, 2010; Yu & Nagurney, 2013; Zhang & Chen, 2013; 69 Zhang, Gou, Liang, & Huang, 2013). An extensive literature review 70 of what happened in this domain has been covered in this research. 71 The review reveals that despite a lack of interest in the initial 72 phase, the study of behavioral operation in supply chain is grow- 73 ing. Hence, a state-of-the-art review has been attempted to show 74 the multidimensional growth of research interest in this particular 75 field on a single platform. 76 This review covers the years from 1934 to January, 2013. Our 77 review aims to cover the research database from the major areas: 78 Operations Research, Operations Management; Engineering; Busi- 79 ness Economics; Computer Science. The published research articles 80 in journals available on the Web of Knowledge database, Science 81 Direct, IEEE Xplore, and INFORMS are used as primary data sources http://dx.doi.org/10.1016/j.eswa.2014.08.035 0957-4174/Ó 2014 Published by Elsevier Ltd. ⇑ Corresponding author. E-mail addresses: anirban.kundu.iitd@gmail.com (A. Kundu), Vjain@sharjah.ac. ae (V. Jain), sameerkumar724@gmail.com (S. Kumar), charu@umich.edu (C. Chandra). Expert Systems with Applications xxx (2014) xxx–xxx Contents lists available at ScienceDirect Expert Systems with Applications journal homepage: www.elsevier.com/locate/eswa ESWA 9516 No. of Pages 14, Model 5G 8 September 2014 Please cite this article in press as: Kundu, A., et al. A journey from normative to behavioral operations in supply chain management: A review using Latent Semantic Analysis. Expert Systems with Applications (2014), http://dx.doi.org/10.1016/j.eswa.2014.08.035