Call for Papers ▏The 7th Thought Leaders'Conference of Marketing Science and Innovation (MSI 2023)& Internet Research Special Issue Academic Conference

Time:2023-01-18设置

       【14Days Count Down to Call for Papers & Conference Notice】




■   Review and Outlook

In the past six years, with the support of domestic and international academic society and all walks of life, the first "Thought Leaders' Conference of Marketing Science and Innovation"(MSI 2017), the second MSI (2018), the third MSI (2019), the fourth MSI (2020), the fifth MSI (2021) and the sixth MSI (2022) were held successfully, while a series of internationally renowned academic journals were published consecutively such as the Journal of the Academy of Marketing Science, Journal of Management Studies, Journal of International Marketing,Journal of Business Research, and Journal of Cleaner Production, Technological Forecasting and Social Change. A large quantity of outstanding achievements have marked the thought and development of the Business-Administration Academic Community. From April 15 to 16, 2023, the 7th "Thought Leaders' Conference of Marketing Science and Innovation (MSI 2023)& Internet Research Special Issue Academic Conference" will be held at East China Normal University (Shanghai, China), a world's "Double First-Class" university. This conference will continue to provide a platform of cross-border interdisciplinary exchange and cooperation for business-administration scholars to discuss the business world's change, innovation and breakthrough in the context of rapid development of high-technology.


  

   Main Theme of the Conference and Backgrounds

Artificial Intelligence, Digital Transformation and Business Innovation

Science and technology brings the profound changes of economy and society. The synergy and integration of technology and management have shown more and more significant power in career development, academic research, business education and talent training. Therefore, the theme of this year is determined as Artificial Intelligence, Digital Transformation and Business Innovation, which aims to carry out relevant theoretical discussions and practical sharing based on the background of the digital intelligence era, combined with the latest development trends at home and abroad, promote and enrich the relevant theoretical and practical research on digital technology and business innovation with artificial intelligence as the core in the high-tech era. Excellent papers will be recommended to the world top Journals such as Internet Research, and International Journal of Contemporary Hospitality Management to share with the world the practical achievements and theoretical innovation achievements of digital transformation from China. With the acceleration of global digital and intelligent transformation, the business competitive environment has changed rapidly, and promoting the integration of new technologies and business to drive business innovation has become the key to the survival and development of enterprises (Liu et al., 2021; Wang et al., 2017). Nowadays, more and more digital technologies are widely used in the management practice of enterprises (Kohtamäki et al., 2020; Nieuwenhuis et al., 2018). Artificial intelligence (AI), as the most advanced form of digital technology, plays an important role in providing instrumental assistance beyond the human scope (Wamba et al., 2017), value creation and acquisition (Duan et al., 2019), developing innovative business models (Nguyen et al., 2018), and may even have a significant impact on the business innovation process (von Krogh, 2018). The current rapid development of artificial intelligence and machine learning further supports the possibility of applying it to business innovation processes (Lu, 2019; Varian, 2018; Ward et al., 2014). It can be said that the application diffusion of AI technologies offers promise for innovation of products, services, processes and business models in industrial ecosystems that embrace the logic of digital services (Iansiti and Lakhani, 2020; Sjödin et al., 2020a; Sklyar et al., 2019), enabling and facilitating enterprise business innovation becomes simpler, more convenient. New technologies such as artificial intelligence, big data, the Internet of Things(IOT), and blockchain are fundamentally changing the way industrial companies capture, create, and deliver value. At present, the application of the technology cluster of the fourth industrial revolution in the field of business innovation needs to be vigorously explored. In practice, many enterprises also struggle to successfully integrate AI into their business model operations (Sjodina et al., 2021). In the era of digital intelligence, where the role of digital technology is becoming increasingly important, this issue is becoming more important and urgent (Linde et al., 2020). Therefore, it is necessary to deeply analyze and explore the relationship between AI technology and business innovation, as well as explore the impact of the new generation of digital technology.


  

Digital Transformation is also driving business innovation and evolution of enterprises, and has a significant impact on organizational innovation, business model innovation, innovation performance, value creation. For example, Yoo et al. (2012) pointed out that the increasing popularity of digital technologies has penetrated into the core of products, services and operations of many organizations, and fundamentally changed the nature of product and service innovation; (Verhoef et al. (2021)) Digital transformation refers to the use of digital technology by enterprises to develop a new digital business model and help enterprises create more value. On the other hand, digital transformation also brings many new challenges to enterprises' innovation practices, such as security and privacy issues (Henfridsson and Bygstad, 2013), platform governance issues (Tiwana et al., 2010), and unemployment threats (Berente et al., 2021). Therefore, it is also important to discuss the question of "how companies can take full advantage of digital transformation to avoid or mitigate such negative impacts?" ( Internet Research (SSCI/SCI Zone 1/Impact Factor 6.353)) Enterprise Digital Transformation looks forward to including the latest research on enterprise digital transformation at home and abroad. Research topics cover the impact of artificial intelligence and other digital technologies on the current and future digital transformation and business innovation of enterprises. The academic achievements can provide practical and effective theoretical guidance and strategic enlightenment for enterprises to use the new generation of digital technology for digital transformation and business innovation in the era of digital intelligence. International Journal of Contemporary Hospitality Management (SSCI Zone 1/2021IF 6.514) Digital Innovation Album for Hotels and Tourism (to be released later in the announcement) is expected to include the latest research and exploration on digital innovation in the hospitality and tourism industry at home and abroad. Research topics cover the role and impact of the Coronavirus- pandemic and the development of digital technologies such as artificial intelligence on the current and future impacts of the hotel and tourism industry. Theoretical discussions and empirical research are based on the idea of digital technology, digital empowerment and digital innovation to reshape and transform enterprises. All of these provide effective theoretical guidance for traditional enterprises, especially hotels and tourism, to use new technologies for digital innovation under the background of digital economy.



■  Topics of Interest include but are not limited to:


  •        New management concepts and thoughts arising from the fourth industrial revolution

  • ·    Artificial intelligence technology development and its impact on business administration      practice

  • ·      The impact of artificial intelligence technology on digital transformation strategy for firms

  • ·      Artificial intelligence technology, digital transformation, and collaborative innovation of firms

  • ·      Digital transformation, business model change, and development of social value

  • ·     Artificial intelligence technology and business innovation breakthroughs and industrial change

  • ·     The relationship between digital capability, innovation strategy, and sustainable development

  •    Artificial intelligence technology, platform strategy innovation, and platform policy development

  • ·     Synergetic development and governance innovation of micro-behavior and corporate strategy

          in the age of   digital  intelligence

  • ·      The new practice of big data technology development and customer value innovation

  • ·   Cloud computing, Internet of Things, blockchain, and other technologies and business innovation changes

  • ·      Management education and management talent training in the age of digital intelligence


  


Hosted by:

East China Normal University

◆College of Business Administration. Capital University of  Economics and Business, CUEB

◆Chinese Marketing Association of Universities (CMAU)

◆Internet Research


Organized by:

Shanghai International School of Chief Technology Officer, ECNU

◆Asia Europe Business School, ECNU

◆ECNU-UH Joint Translational Science &Technology Research Institute


Supported by:

◆National Natural Science Foundation of China

◆Advisory Board of Business, Ministry of Education (MOE), China

◆China Chapter, Sales & Marketing Executives International

◆China Enterprise Reform and Development Society

◆Beijing Institute of Economic Development, CUEB

◆Tsinghua University Press

◆China Renmin University Press


■  Co-Chairman of the Conference  

  

·   Yonggui Wang 

Vice President of Capital University of Economics and Trade, Distinguished Professor of Changjiang Scholars of the Ministry of Education, Distinguished Young Scholar, Vice Editor of Journal of Business Research



·    Robert W. Palmatier

Professor of the University of Washington, Co-Editor of Journal of Marketing


Jiaxun He

Professor and Doctoral Supervisor of East China Normal University, Executive Dean of CTO School (Shanghai International School of Chief Technology Officer), ECNU 

Chinese Dean of Asia-Europe Business School, Director of Institute for National Branding Strategy


  

·   Christy M. K. Cheung

Professor of Hong Kong Baptist University, and Chief Editor of Internet Research




■  Special Issue

  • Internet Research:

    Digital Transformation for Firms

  • International Journal of Contemporary Hospitality Management:(SSCI Q1, 2021IF 6.514, ABS 3, ABCD List A journal)

    Digital Innovation in Hospitality and Tourism

     

■  Important Dates

    Deadline for Submission of Conference Papers:

    January 31, 2023

    Date of Acceptance Notification:

    March 17, 2023

    Date of the Conference:

    April 15-16, 2023


   Submission Date of Special Issue 

    (Internet Research):

    July 30, 2023-September 30, 2023


   Submission Date of Special Issue Abstract 

   (International Journal of Contemporary Hospitality Management):

   November 15, 2022-January 15, 2023


   Submission Date of Special Issue(Full-Text)

   (International Journal of Contemporary Hospitality Management):

   June 1, 2023-July 31, 2023


■ Paper Submission


Paper Submission Email:   

MSI2023_ECNU@163.com


Conference Consultant:

Xuejing Ma

Mobile Phone Number: 18810308086

Email:xjma@aebs.ecnu.edu.cn

Paper Submission Consultant:

Di Zhang

Mobile Phone Number:18811086368

Email:MSI2023_ECNU@163.com

(All papers submitted should be original. English contributions are welcome)


■  Topic Areas and Submission Email:

1)  Conceptual and Ideological Papers and Reviews Group

Email: MSI2023_ECNU1@163.COM

2)  Artificial Intelligence and Business Administration Group

Email: MSI2023_ECNU2@163.COM

3)  Digital Transformation Group

Email: MSI2023_ECNU3@163.COM

4)  Strategy and Organizational Behavior Group

Email: MSI2023_ECNU4@163.COM

5)  Marketing Strategy and Innovative Management Group

Email: MSI2023_ECNU5@163.COM

6)  Individual Behavior Group (Including Consumer Behavior)

Email: MSI2023_ECNU6@163.COM

7)  Big Data Technology and Quantized Model Group

Email: MSI2023_ECNU7@163.COM

8)  Inter-discipline of Business Administration (Operation and Marketing)

Email: MSI2023_ECNU8@163.COM

9)  Research Cases and Case Teaching Group

Email: MSI2023_ECNU9@163.COM

(In addition, papers in other areas are also welcome. Scholars are welcome to submit papers with any specific topics.)


 Paper Submission Requirements:

1) All submitted papers should be original papers. The language is not limited, both Chinese and English. For Chinese paper, please refer to the paper writing and citation format of the Journal of Marketing Science; For English, please refer to Journal of Marketing or Journal of Marketing Research's paper writing, citation and reference format.

2) Please send the papers to the submission email designated by the organizing committee according to different groups, and the body of the paper should be anonymous, and no author information; Attach the author information file (including the title), and indicate the author's name and author's affiliation in the message body of the email.

3) All the papers will be examined by the expert review group , and outstanding papers will also be selected in this conference.

4) All the papers must be sent by email to the designated email address before the submission deadline (January 31, 2023). All submissions will receive a response confirmation. If you do not receive the confirmation email, please contact the organizing committee by phone or email in time.


  

■ Special Issue Paper Submission:

All submission papers should be original, and the language of Internet Research Special Issue paper should be English. For writing a paper, please refer to Internet Research's Internet Research manuscript preparation guide:

https://www.emeraldgrouppublishing.com/journal/intr?id=intr


Papers will be reviewed according to a double-blind review process. Please don't hesitate to contact us  for information consultation on the special issue, the proposed topic and its relevance. If you have any questions, please contact the guest editor. All papers conducting empirical research are welcome to provide full methodological and other details in the appendix.



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