ValueApping: An Analysis Method to Identify Value-Adding Mobile Enterprise Apps in Business Processes

Hoos, Eva; Gröger, Christoph; Kramer, Stefan; Mitschang, Bernhard

doi:10.1007/978-3-319-22348-3_13

Cited by 11 publications

(4 citation statements)

References 24 publications

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“…The advancement of mobile technologies and the resultant rise in the use of mobile applications (apps) over the past decade has resulted in the ubiquitous use of these technologies (Hasan, Gómez, & Kurzhöfer, 2013;Hoos, Gröger, Kramer, & Mitschang, 2015). Other evidence of this shift in mobile technology adoption is that mobile traffic was set to grow to 52% of all website traffic in 2018, up from 50.3% in 2017 (Statisa, 2018).…”

Section: Introductionmentioning

confidence: 99%

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Mobile enterprise application adoption: A South African insurance study

Knoesen

Seymour

2019

SACJ

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The factors impacting the adoption of mobile enterprise applications (MEAs) are important to understand if the value of using these applications is to materialize as improved business performance. By means of a review of the literature, the conceptual design of a model, a survey, and qualitative analysis, this mixed method study examined the factors which influence the adoption of three MEAs in the insurance industry. Interesting findings include the importance of willingness to fund devices on the adoption by users and the importance of job relevance and the location dependency of the MEAs on their usefulness. These findings are of relevance to researchers and organizations intending on deploying MEAs and practitioners should pay attention to the factors which can influence user acceptance of MEAs.

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Section: Introductionmentioning

confidence: 99%

“…Mobile apps used in business are called mobile enterprise apps (MEAs), and they are one of the top ten strategic technology trends since 2014 (Hoos et al, 2015). Market research in 2016 showed that 35% of employees used apps for work-related activity (Gartner, 2017).…”

Section: Introductionmentioning

confidence: 99%

Mobile enterprise application adoption: A South African insurance study

Knoesen

Seymour

2019

SACJ

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“…Reducing the longlists of digital technologies and sub-processes to medium lists does not require a special tool, but depends on organization-specific considerations. For some digital technologies (e.g., mobile enterprise apps or knowledge management systems), there already are methods users can use to complement, support, or affirm the outcome of our method (Hoos et al 2015;Greco et al 2013). Note that some of these methods require more information than initially provided from a behavioral process perspective to be applied.…”

Section: Activity 2: Preselection Of Suitable Digital Technologiesmentioning

confidence: 99%

How to Exploit the Digitalization Potential of Business Processes

2017

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Process improvement is the most value-adding activity in the business process management (BPM) lifecycle. Despite mature knowledge, many approaches have been criticized to lack guidance on how to put process improvement into practice. Given the variety of emerging digital technologies, organizations not only face a process improvement black box, but also high uncertainty regarding digital technologies. This paper thus proposes a method that supports organizations in exploiting the digitalization potential of their business processes. To achieve this, action design research and situational method engineering were adopted. Two design cycles involving practitioners (i.e., managers and BPM experts) and endusers (i.e., process owners and participants) were conducted. In the first cycle, the method's alpha version was evaluated by interviewing practitioners from five organizations. In the second cycle, the beta version was evaluated via real-world case studies. In this paper, detailed results of one case study, which was conducted at a semiconductor manufacturer, are included. Keywords Business process improvement Á Business process management Á Digital transformation Á Digital technologies Á Situational method engineering Á Action design research

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“…For this purpose, the DIPPing app was designed specifically to be available on mobile devices and to generate and display DIPs by using the previously introduced architecture. To evaluate if it is benefical to use mobile devices, we performed the ValueApping Method [22]. Consequently, the goal of the DIPPing app is composed of the following sub-goals:…”

Section: Goalmentioning

confidence: 99%

Automated Creation and Provisioning of Decision Information Packages for the Smart Factory

Hoos

Hirmer

Mitschang

2018

J. Complex Syst. Inform. Model. Q.

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In recent years, Industry 4.0 emerges as a new trend, enabling the integration of data-intensive cyber physical systems, Internet of Things, and mobile applications, into production environments. Even though Industry 4.0 concentrates on automated engineering and manufacturing processing, the human actor is still important for decision making in the product lifecycle process. To support correct and efficient decision making, human actors have to be provided with relevant data depending on the current context. This data needs to be retrieved from distributed sources like bill of material systems, product data management and manufacturing execution systems, holding product model and factory model. In this article, we address this issue by introducing the concept of decision information packages, which enable to compose relevant engineering data for a specific context from distributed data sources. To determine relevant data, we specify a context-aware engineering data model and corresponding operators. To realize our approach, we provide an architecture and a prototypical implementation based on requirements of a real case scenario. This article is a revised and selected version of the previous work.

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ValueApping: An Analysis Method to Identify Value-Adding Mobile Enterprise Apps in Business Processes

Cited by 11 publications

References 24 publications

Mobile enterprise application adoption: A South African insurance study

Mobile enterprise application adoption: A South African insurance study

How to Exploit the Digitalization Potential of Business Processes

Automated Creation and Provisioning of Decision Information Packages for the Smart Factory

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