Influential Characteristics of Enterprise Information System User Interfaces

Türetken, Oktay; Ondráček, Jan; IJsselsteijn, Wijnand A.

doi:10.1080/08874417.2017.1339367

Cited by 25 publications

(14 citation statements)

References 56 publications

(111 reference statements)

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“…Therefore, four items on a 7-point Likert scale from strongly disagree (i.e., 1) to strongly agree (i.e., 7) needed to be answered totaling to a min/max value of (4 x 7). Moreover, the used measure was evaluated for validity and reliability in prior research [56]. • Perceived ease of understandability (PEU): Derived from TAM, PEU characterizes that the use of a particular modularization type within a process model is associated with less mental effort (RQ 3).…”

Section: Study I and Study Iimentioning

confidence: 99%

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Measuring the Cognitive Complexity in the Comprehension of Modular Process Models

Winter

Pryss

Probst

et al. 2022

IEEE Trans. Cogn. Dev. Syst.

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Modularization in process models is a method to cope with the inherent complexity in such models (e.g., model size reduction). Modularization is capable to increase the quality, the ease of reuse, and the scalability of process models. Prior conducted research studied the effects of modular process models to enhance their comprehension. However, the effects of modularization on cognitive factors during process model comprehension are less understood so far. Therefore, this paper presents the results of two exploratory studies (i.e., a survey research study with N = 95 participants; a follow-up eye tracking study with N = 19 participants), in which three types of modularization (i.e., horizontal, vertical, orthogonal) were applied to process models expressed in terms of the Business Process Model and Notation (BPMN) 2.0. Further, the effects of modularization on the cognitive load, the level of acceptability, and the performance in process model comprehension were investigated. In general, the results revealed that participants were confronted with challenges during the comprehension of modularized process models. Further, performance in the comprehension of modularized process models showed only a few significant differences, however, the results obtained regarding the cognitive load revealed that the complexity and concept of modularization in process models were misjudged initially. The insights unraveled that the attitude towards the application and the behavioral intention to apply modularization in process model is still not clear. In this context, horizontal modularization appeared to be the best comprehensible modularization approach leading to a more finegrained comprehension of respective process models. The findings indicate that alterations in modular process models (e.g., change in the representation) are important to foster and enable their comprehension. Finally, based on our results, implications for research and practice as well as directions for future work are discussed in this paper.

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Section: Study I and Study Iimentioning

confidence: 99%

Section: Study I and Study Iimentioning

confidence: 99%

Measuring the Cognitive Complexity in the Comprehension of Modular Process Models

Winter

Pryss

Probst

et al. 2022

IEEE Trans. Cogn. Dev. Syst.

View full text Add to dashboard Cite

show abstract

“…In TAM, the two constructs (perceived usefulness and ease of use) are believed to be strong determinants of users' intentions to apply a design artifact. For the experiment, the adopted variables are operationalized using multiple indicators (scale items), which have been evaluated for reliability and validity in previous research (Davis 1989;Moody 2003;Turetken et al 2018). Following (Venkatesh et al 2003), we used 4 items for each construct, with modified wording of the items to accommodate this research.…”

Section: Dependent Variablesmentioning

confidence: 99%

The Influence of Using Collapsed Sub-processes and Groups on the Understandability of Business Process Models

et al. 2019

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Many factors influence the creation of business process models which are understandable for a target audience. Understandability of process models becomes more critical when size and complexity of the models increase. Using vertical modularization to decompose such models hierarchically into modules is considered to improve their understandability. To investigate this assumption, two experiments were conducted. The experiments involved 2 large-scale real-life business process models that were modeled using BPMN v2.0 (Business Process Model and Notation) in the form of collaboration diagrams. Each process was modeled in 3 modularity forms: fully-flattened, flattened where activities are clustered using BPMN groups, and modularized using separately viewed BPMN sub-processes. The objective was to investigate if and how different forms of modularity representation (used for vertical modularization) in BPMN collaboration diagrams influence the understandability of process models. In addition to the forms of modularity representation, the presentation medium (paper vs. computer) and model reader's level of business process modeling competency were investigated as factors that potentially influence model comprehension. 60 business practitioners from a large organization and 140 graduate students participated in our experiments. The results indicate that, when these three modularity representations are considered, it is best to present the model in a 'flattened' form (with or without the use of groups) and in the 'paper' format in order to optimally understand a BPMN model. The results also show that the model reader's business process modeling competency is an important factor of process model comprehension.

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“…It used two evaluation approaches: a summative approach that focus on outcomes or ends and formative approach that focus on process or mean, and classified performance measures to objective and subjective measures. [55] Studied only user interface and user interaction factors because long-term success of enterprise information system is heavily dependent on its use. Table 1 summarized the most popular evaluation model from 1982 until 2004.…”

Section: Literature Reviewmentioning

confidence: 99%

A Roadmap for Migration System-Architecture Decision by Neutrosophic-ANP and Benchmark for Enterprise Resource Planning Systems

Slamaa¹,

El-Ghareeb

Saleh

2021

IEEE Access

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The selection of the system-architecture is critical step in software-engineering lifecycle. Unfortunately, the selecting a suitable architecture is a hard mission. The difficulty of the adopting architecture increases in inconsistence case as in SOA and MSA. The paper answers -when architecture transform‖, -to which architecture migrate‖ and -how‖. The paper addresses the lack of evaluation ERPs in post-implementation phase. The paper provides static and dynamic analysis for monolith, SOA and MSA by numerical-comparison and Benchmark. This paper proposes a roadmap for migration-architecture. The roadmap consists of flowchart of migration and migration-decision model that is supported with criteria of evaluation form for assessing system's baseline and making a consistence decision by Neutrosophic-ANP. Because of the dependency between factors of information system evolution, ANP is used. Furthermore, Neutrosophic set is selected because its accuracy in inconsistence. Benchmark assesses OpenBravoERP, Odoo12 and Metasfresh5.144 to represent monolith, SOA and MSA respectively. Benchmark assesses performance, time to the market, stability, future proof, network issue and cost. They are tested based on scenario tests which grantee that transactions are executed within more than one module of ERPS, simulates real business's procedures, huge number of records and concurrent load by virtual users. The proposed model and benchmark help -Hitac' enterprise in two decisions for its expansion-plan in COVID-19 crisis. The numerical steps of this case-study are provided. Most published papers and literatures about Microservices are not empirical. The main paper's result is filling this gap by a one of the empirical aspects with an academic study support.

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Influential Characteristics of Enterprise Information System User Interfaces

Cited by 25 publications

References 56 publications

Measuring the Cognitive Complexity in the Comprehension of Modular Process Models

Measuring the Cognitive Complexity in the Comprehension of Modular Process Models

The Influence of Using Collapsed Sub-processes and Groups on the Understandability of Business Process Models

A Roadmap for Migration System-Architecture Decision by Neutrosophic-ANP and Benchmark for Enterprise Resource Planning Systems

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