[AISWorld] CfP - Special Issue on Emerging technologies, Enterprise Systems and Knowledge Management

[Nazim Taskin]

 Dear colleagues,
Please find the CfP for the special issue on Emerging technologies,
Enterprise Systems and Knowledge Management.

*Knowledge Management Research & Practice*

*Special Issue: Emerging technologies, Enterprise Systems and Knowledge
Management*

Enterprises systems are systems that integrate all data and information
systems and services as a type of Enterprise Knowledge Directory (EKD:
Galup, Dattero, & Hicks, 2003). They are internal to the enterprise and can
gather and interpret data and information from outside the enterprise’s
boundary (e.g. internet, supply chains, etc.) to serve multi-organizations.
Enterprise systems can integrate ICT -related communications; for example,
record video conferences for storage, retrieval, analysis and use in
decision-making.  As an all embracing and integrated organizational-based
data, information and intelligence- based system, Enterprise Systems should
logically be related to organizational KM and certainly integral to
organizational KMS. Surprisingly, however, the literature has barely made
this connection.

Knowledge management in the organisation relies in great part on the
information systems in which the data are entered, processed, stored and
extracted as the output and the basis for analysis. This type of
information system in the context of an enterprise are often called
enterprise systems (Przemyslaw, 2014) or Enterprise Resource Planning (ERP)
Systems. They require high implementation costs and are normally customized
to fit individual organizational requirements.

As indicated by the literature, organizational knowledge sharing is greatly
affected by the service quality, system quality and technology in the
enterprise systems (Somayyeh and Ali, 2018). For example, at the
operational level, business processes are the foundation for designing,
implementing, and staff training in the adoption or upgrading of enterprise
systems that influence the service quality and system quality. At the same
time, managing knowledge life cycles and aligning the analysis to process
management is essential to create business value (Christian, 2014).

At the strategic level, Business Intelligence and data analytics are often
built-into the enterprise systems to serve executive decision making. These
systems can gather key information by sorting and extracting data from the
distributed databases in large organisations including multinational and
global enterprises. The process is actually a way of articulation as
described by Richard, Herschel, and Nory (2005, p50), converting tacit
knowledge into explicit knowledge by specifying the purpose of the
decision, articulating parameters, objective functions, and relationships,
providing what-if analysis, and evaluating the alternatives. They further
suggest that there exists a reciprocal interaction effect between KM and BI
as the need to correct and validate the computational logic of data
requires the sense-making capabilities of knowledgeable people. As such
there are implications that to most effectively manage knowledge in
organisation requires coordination with the implementing and running of
enterprise systems in such areas as design, training, user environment,
culture, and top management involvement and IT support.

Despite the critical role of enterprise systems in organizations, there has
been little literature studying it in relationship to the management of
organizational knowledge and the context of knowledge management systems.
For example, it is difficult to locate research investigating how KM is
organized and maintained within enterprise system environments, and what
the influences of the contextual factors such as the industry type, firm
sizes, and top management are. Enterprise systems are designed into many
different forms in the markets. Using SAP as an example; it has been
adopted by city councils, the army, food industry, airlines, and recently
insurance corporations (SAP, 2014). There are also enterprise systems for
not-for-profit organizations such as hospital resource planning (HRP) in
hospitals and healthcare organizations, computer reservation system (CRS)
in the tourism industry, and manufacturing execution system (MES) in
production industries.

In addition, the dynamic nature of business and technology can also impact
the evolution of the enterprise systems (Wang, Pauleen and Chan, 2013). To
reflect rapid changes in recent years, technologies need to be studied with
ES and KM in order to understand how KMS may be impacted due to changes
wrought by emerging technologies (e.g., IOT, Big Data, social media tools,
and artificial intelligent) and ES.

Industry practitioners and academic researchers have focused on the
importance of investment and adoption of emerging technologies for quality
and productivity improvements. There is a need to see how these factors
with the ongoing development of knowledge management literature and the
increasing functionality and scales of enterprise systems in the changing
business world.

*What can I contribute?*

Submissions are invited to investigate these phenomena. Areas of particular
interest include: how new technologies enhance knowledge management in
enterprise systems settings; how changes in business affect the evolution
of KMS. Prospective topics include, but are not limited to the list below
and all social science research methods will be considered.

   - Knowledge Management Systems that exist in the various forms of
   Enterprise Systems, such as Enterprise Resource Planning (ERP), Customer
   Relationship Management (CRM), Supply Chain Management(SCM), Manufacturing
   Execution Systems (MES) , Customer Reservation Systems (as used in airline,
   hotel, and etc.) and Hospital Resource Planning (HRP).
   - Relationships between KM and Enterprise Systems and business models,
   strategies, and business processes
   - The level (and kinds) of knowledge stored in enterprise systems,
   including subordinate, company, enterprise, and multi-national levels
   - Emergent technologies and KM in Enterprise Systems, such as no-SQL
   database, Big Data, cloud computing, IOT, AI, and Industrial 4.0.
   - KM via Data Warehouse, Business Intelligence, and Data Analytics in
   Enterprise Systems
   - Change management for KM in the Enterprise Systems: e.g., merger and
   acquisitions, amalgamation of subordinates, new business development, or
   other reasons for major systems upgrades and integration
   - With respect to emerging technologies:
      - IT Organisation for KM in Enterprise Systems
      - IT Architecture for KM in Enterprise Systems
      - Vendor and customer aspects and perspectives
      - Role of Executives
   - KM in enterprise systems used in the sharing economy, healthcare
   industry, not-for-profit organization and government sectors
   - Case studies specific to ES and KM on SMEs, large organisations and
   global enterprises related to the topic of the special issue
   - Legal issues, risk management and information security, governance

References

   - Christian Stary, (2014) "Non-disruptive knowledge and business
   processing in knowledge life cycles – aligning value network analysis to
   process management", Journal of Knowledge Management, Vol. 18 Issue: 4,
   pp.651-686.
   - David C. Chou, Hima Bindu Tripuramallu, Amy Y. Chou, (2005) "BI and
   ERP integration", Information Management & Computer Security, Vol. 13
   Issue: 5, pp.340-349.
   - Evans, N. & Price, J. (2016) . Enterprise information asset
   management: the roles and responsibilities of executive boards. Knowledge
   Management and Research Practice, Vol 14: 353 - 361.
   - Galup, S., Dattero, R. & Hicks, R. (2003). The enterprise knowledge
   dictionary. Knowledge Management and Research Practice, Vol 1, p95 -101.
   - Przemyslaw Lech, (2014) "Managing knowledge in IT projects: a
   framework for enterprise system implementation", Journal of Knowledge
   Management, Vol. 18 Issue: 3, pp.551-573.
   - Richard T. Herschel
   <https://www.emeraldinsight.com/author/Herschel%2C+Richard+T?utm_source=CPB&utm_medium=cms&utm_campaign=JMZ07647>
   , Nory E. Jones
   <https://www.emeraldinsight.com/author/Jones%2C+Nory+E?utm_source=CPB&utm_medium=cms&utm_campaign=JMZ07647>,
   (2005) "Knowledge management and business intelligence: the importance of
   integration", Journal of Knowledge Management, Vol. 9 Issue: 4, pp.45-55
   - SAP, 2014, extracted on the 3rd of September,2018: from
   https://news.sap.com/2014/06/sap-nan-shan-life-build-best-practice-solutions-insurance-industry-taiwan/
   - Somayyeh Mirzaee, Ali Ghaffari, (2018) "Investigating the impact of
   information systems on knowledge sharing", Journal of Knowledge Management,
   Vol. 22 Issue: 3, pp.501-520.
   - Wang, William YC*, Pauleen D, and Chan HK, 2013, “Facilitating the
   Merger of Multinational Companies: A Case Study of the Global Virtual
   Enterprise”, Journal of Global Information Management, 21(1), pp.42 -58.
   (SSCI, A)

Important dates

   - Deadline to submit papers for the SI: 30th Nov 2019
   - First review round by 28 Feb 2020
   - Second review round by 30 April 2020
   - Planned Publication:  Summer 2020

Submission procedures

Manuscripts should be original, unpublished, and not currently under
consideration for publication elsewhere. All submission must follow the
instructions to authors that can be found on the journal homepage:
www.tandfonline.com/kmrp
<http://www.tandfonline.com/kmrp?utm_source=CPB&utm_medium=cms&utm_campaign=JMZ07647>

Link:
https://think.taylorandfrancis.com/emerging-technologies-enterprise-systems-knowledge-management/

Other inquiries should be sent clearly indicating in the subject “Special
issue in Knowledge Management Research & Practice” to the Guest Editors:

William Yu Chung Wang william.wang at waikato.ac.nz
<william.wang at waikato.ac.nz?utm_source=CPB&utm_medium=cms&utm_campaign=JMZ07647>

David Pauleen david.paleen at massey.ac.nz
<david.paleen at massey.ac.nz?utm_source=CPB&utm_medium=cms&utm_campaign=JMZ07647>

William Yu Chung Wang
MSB 2.33, Waikato Management School,
University of Waikato, Hamilton, 3210. New Zealand
William.Wang at waikato.ac.nz
<William.Wang at waikato.ac.nz?utm_source=CPB&utm_medium=cms&utm_campaign=JMZ07647>

David Pauleen
School of Management, Massey University, Albany, 0632. New Zealand
D.Pauleen at massey.ac.nz
<https://think.taylorandfrancis.com/emerging-technologies-enterprise-systems-knowledge-management/D.Pauleen@massey.ac.nz?utm_source=CPB&utm_medium=cms&utm_campaign=JMZ07647>