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Sustainability
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Information Systems and Business Process Management
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Information Systems and Business Process Management

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Economic and Business Aspects of Sustainability".

Deadline for manuscript submissions: closed (20 November 2022) | Viewed by 5658

Special Issue Editors

Prof. Dr. Wattana Viriyasitavat

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Guest Editor
Business Information Technology Division, Department of Statistics, Chulalongkorn University, Pathumwan, Bangkok 10330, Thailand
Interests: security; web services; logic and formal specification languages; workflows
Prof. Dr. Zhuming Bi

E-Mail Website
Guest Editor
Department of Civil and Mechanical Engineering, Purdue University Fort Wayne, Fort Wayne, IN, USA
Interests: enterprise information systems; digital manufacturing; finite element analysis; machine designs; robotics and automation; enterprise systems
Special Issues, Collections and Topics in MDPI journals
Dr. Danupol Hoonsopon

E-Mail Website
Guest Editor
Department of Marketing, Chulalongkorn Business School, Chulalongkorn University, Bangkok 10330, Thailand
Interests: new product development; innovation management; marketing research

Special Issue Information

Dear Colleagues,

The fast development of technologies such as Artificial Intelligence, the Internet of Things, blockchain, etc., has completely changed the way organizations manage their information systems (ISs). To retain business competitiveness, a fast response to changes and the exploitation of technological benefits are needed. Within and across organizations, business process management (BPM) is an essential element of continuous improvement and digital transformation enabled by ISs. It has emerged as a cross-disciplinary field, and the main objective is to streamline complex organizational processes. However, organizations are encountering several hurdles in order to implement them effectively.

The theme of this Special Issue is modern BPM enabled by ISs. Process modeling, process design, coordination and interoperability, model management, architecture and framework, process mining, business process compliance and control, applications of BPM, and new technologies are identified as parts of BPM systems. Apart from technical adoptions, organizational, legal, human-centered, and economic challenges should also be considered, as well as their associated research areas, for instance, human resources, supply chain management, information technology, marketing and CRM, e-commerce, knowledge management and innovation, etc. The field of ISs and BPM is continuously expanding, and these themes provide the perspective of an evolving discipline. This Special Issue is a great opportunity for researchers to contribute works on ISs and BPM.

The topics covered by the Special Issue have a wide range, but a comprehensive scope. We welcome submissions from various disciplines, including management, entrepreneurship, innovation, marketing, business, IS, etc. The complete list of topics of interest includes but is not limited to the following:

  • Business process management and technological advancements such as AI, blockchain, big data, IoT, etc.;
  • Research on BPM-related standards and technologies;
  • Blockchain and smart contracts in business process management;
  • Decentralized business process management: approaches, tools and techniques;
  • Digital innovation and transformation with ISs and BPM;
  • Dynamic adaptations in process-aware information systems;
  • Business process visualization;
  • Case studies, literature reviews and empirical studies on IS and BPM research topics;
  • Other IS and BPM related topics.

Research works submitted to this Special Issue will be subject to a strong peer-review process with the aim of wide dissemination of research results.

Prof. Dr. Wattana Viriyasitavat
Prof. Dr. Zhuming Bi
Dr. Danupol Hoonsopon
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • business process management
  • information system
  • artificial intelligence
  • blockchain
  • big data
  • business compliance

Published Papers (2 papers)

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Research

14 pages, 251 KiB  
Article
Initial Implementation of Data Analytics and Audit Process Management
by Kanyarat (Lek) Sanoran and Jomsurang Ruangprapun
Sustainability 2023, 15(3), 1766; https://doi.org/10.3390/su15031766 - 17 Jan 2023
Cited by 2 | Viewed by 2959
Abstract
To answer the call for more evidence on the adoption and effectiveness of Big Data Analytics in auditing, this study investigates auditors’ use of data analytic tools in audit-process management, including audit planning, testing, and conclusions. The analysis, which is performed as a [...] Read more.
To answer the call for more evidence on the adoption and effectiveness of Big Data Analytics in auditing, this study investigates auditors’ use of data analytic tools in audit-process management, including audit planning, testing, and conclusions. The analysis, which is performed as a qualitative study, is based on twenty-eight semi-structured interviews with Big 4 and non-Big 4 audit professionals in Thailand to gain insights into their experience implementing audit data analytic tools in the initial stage. Findings suggest that auditors primarily use data analytic tools in audit planning and substantive testing. Nevertheless, auditors do not perceive a need to use these tools to test internal controls and conclude audit opinions. In addition, we find that auditors tend to apply audit data analytic tools for anomaly detection and testing management assertions. Overall, auditors perceive the benefits of audit data analytic tools in improving their audit process management. Findings present practical implications for audit firms and audit professionals, including how to initially implement data analytic tools effectively in auditing and as guidelines for regulators on how to develop auditing standards that govern the use of Big Data and data analytic tools. We note some limitations in this study, such as the generalizability of the results, auditors’ personal biases, and the different tools and techniques used by each audit firm. Full article
(This article belongs to the Special Issue Information Systems and Business Process Management)
20 pages, 2245 KiB  
Article
Are ERDFs Devoted to Boosting ICTs in SMEs Inefficient? A Three-Stage SBM Approach
by Carla Henriques and Clara Viseu
Sustainability 2022, 14(17), 10552; https://doi.org/10.3390/su141710552 - 24 Aug 2022
Cited by 1 | Viewed by 1191
Abstract
We assessed the implementation of operational programs (OPs) aimed at boosting the deployment of information and communication technologies (ICTs) in small and medium-sized enterprises (SMEs). We performed a three-stage slack-based measure (SBM) data envelopment analysis (DEA) model combined with the stochastic frontier analysis [...] Read more.
We assessed the implementation of operational programs (OPs) aimed at boosting the deployment of information and communication technologies (ICTs) in small and medium-sized enterprises (SMEs). We performed a three-stage slack-based measure (SBM) data envelopment analysis (DEA) model combined with the stochastic frontier analysis (SFA), which considered data and contextual factors reported from the European Union (EU) to appraise 51 OPs from 16 countries. Overall, we discovered that by eliminating the contextual factors, almost 27% of the OPs (14) attained efficient procedural results. The OP “Multi-regional Spain—ERDF” is widely perceived as a benchmark, irrespective of its contextual factors, remaining robustly efficient for data perturbations ranging from 5% to 10%. The “Number of Operations Supported” is the indicator that requires attention, both with or without the removal of contextual factors. Our findings suggest that more developed regions, with a greater proportion of ICT professionals, are associated with a poor utilization and allocation of ERDF funds to promote ICT adoption in SMEs. This could be attributed to an inability of SMEs to handle the complex bureaucratic processes of submitting and executing European Regional Development Fund (ERDF) initiatives. Consequently, it is vital to provide additional assistance that streamlines the management formalities and satisfies the needs of SMEs. Full article
(This article belongs to the Special Issue Information Systems and Business Process Management)
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