Managing digital coordination of design: emerging hybrid practices in an institutionalized project setting

What happens when digital coordination practices are introduced into the institutionalized setting of an engineering project? This question is addressed through an interpretive study that examines how a shared digital model becomes used in the late design stages of a major station refurbishment project. The paper contributes by mobilizing the idea of ‘hybrid practices’ to understand the diverse patterns of activity that emerge to manage digital coordination of design. It articulates how engineering and architecture professions develop different relationships with the shared model; the design team negotiates paper-based practices across organizational boundaries; and diverse practitioners probe the potential and limitations of the digital infrastructure. While different software packages and tools have become linked together into an integrated digital infrastructure, these emerging hybrid practices contrast with the interactions anticipated in practice and policy guidance and presenting new opportunities and challenges for managing project delivery. The study has implications for researchers working in the growing field of empirical work on engineering project organizations as it shows the importance of considering, and suggests new ways to theorise, the introduction of digital coordination practices into these institutionalized settings

An investigation into current production challenges facing the Libyan cement industry and the need for innovative Total Productive Maintenance (TPM) strategy

Purpose - The purpose of this paper is to investigate maintenance and production problems in the cement industry in Libya with particular emphasis on future implementation of Total Productive Maintenance (TPM). Methodology/ Approach - The paper presents the use of case study approach of production data and history, field visits, a survey methodology using a detailed questionnaire with employees and interviews with top and middle managers in four cement factories. Findings - It has been found that the four factories under investigation have low productivity and production levels when compared with the design values. There is no clear TPM strategy and it has been also found that the lack of training and personal development is the main cause of this problem. In addition, employees are found not to be motivated as a result of the lack of poor management strategy and reward structure. Implications - Based on the findings, a new framework for TPM has been developed. This TPM strategy could be implemented in other Libyan factories as a result of the potential similarities in the cultural and environmental aspects. Practical implications - The current challenges have been identified and comparative analysis is developed into a model for the implementation of TPM. Originality/Value of pape r- The paper highlights limitation is the cement factories in Libya in relation to TPM and production strategies. The importance of adopting a realistic strategy and framework by managers is discussed. This work is developed as collaboration between Academia and Libyan Cement industry for solving productivity problems and develop a strategic framework of TPM for improving the Libyan industry

Explaining The Intention Of Software Developers To Perform Entrepreneurial Competencies

Recent studies have been promoting entrepreneurial competencies for software developers. However, software developers must have the intention to perform entrepreneurial competencies effectively. Therefore, this study aims to investigate behavioural intention of software developers by extending the Theory of Planned Behaviour with self-efficacy and entrepreneurial competencies and indirect relationships via antecedents of behavioural intention. This study adopted a purposive sampling technique and validated 268 questionnaires for statistical analysis. A Partial Learning Algorithm was used for data analysis. The Perceived Behavioural Control has demonstrated extreme impact on the intention of software developers to perform entrepreneurial competencies when developing a software product, while the subjective norm has shown a negative impact on the software developers’ intention. The study presents empirical evidence meant for the applicability of the extended Theory of Planned Behaviour to perform entrepreneurial competencies effectively. The findings contribute valuable insights to the growing interest of researchers to explain software developer’s intention to perform entrepreneurial competencies

The Effects of a Collaborative Problem-based Learning Experience on Students’ Motivation in Engineering Capstone Courses

We identified and examined how the instructional elements of problem-based learning capstone engineering courses affected students’ motivation to engage in the courses. We employed a two-phase, sequential, explanatory, mixed methods research design. For the quantitative phase, 47 undergraduate students at a large public university completed a questionnaire that measured the components of the MUSIC Model of Academic Motivation (Jones, 2009): empowerment, usefulness, success, situational interest, individual interest, academic caring, and personal caring. For the qualitative phase that followed, 10 students answered questions related to the MUSIC components. We identified several instructional elements that led to motivating opportunities that affected students’ motivation to engage in the courses. We discuss how these motivating opportunities can foster or hinder students’ engagement and provide implications for instruction

Enhancing learning outcomes from industry engagement in Australian engineering education

Industry engagement, commonly implemented as a 12 week industry placement during a vacation towards the end of the degree, has traditionally been a provider-mandated component of externally accredited professional engineering degrees in Australia. Such placements are intended to bridge knowledge and capability gaps between academic study and engineering employment and contextualise the final phase of academic study. Changes in the composition of Australia’s engineering industries have made it progressively harder to source such placements. In-curriculum exposure to engineering practice has also been expected, but has been delivered with considerable variability. In 2014 the authors completed a national project, led by the Australian Council of Engineering Deans (ACED), with peak industry bodies and several partner universities, funded from the Commonwealth Department of Industry Workplace Innovation Program, to explore how improving industry engagement could contribute further to engineering graduates’ learning outcomes and employability. The data collected from the engineering students and employers, reported in this paper, can now be regarded as baseline data on industry engagement, against which subsequent developments can be referenced. For the first time, students’ ratings of the value of different methods for industry engagement are shown to be related to their ‘authenticity’. Several industry-inspired in-curriculum interventions were also trialled at partner universities. Guidelines for good practice were developed from melding the experiential findings with theoretical perspectives. In the years since completing the project, the accreditation body, Engineers Australia, has updated and intensified its focus on engagement with practice (including changing its language from ‘exposure’ to ‘engagement’), and many engineering faculties have significantly enhanced their models and requirements for work integrated learning and industry engagement. This paper outlines these changes and examples of new implementations, including virtual and electronically-mediated methods that also reflect ongoing changes in engineering industry practice.  </jats:p

Enhancing learning outcomes from industry engagement in Australian engineering education

Industry engagement, commonly implemented as a 12 week industry placement during a vacation towards the end of the degree, has traditionally been a provider-mandated component of externally accredited professional engineering degrees in Australia. Such placements are intended to bridge knowledge and capability gaps between academic study and engineering employment and contextualise the final phase of academic study. Changes in the composition of Australia’s engineering industries have made it progressively harder to source such placements. In-curriculum exposure to engineering practice has also been expected, but has been delivered with considerable variability. In 2014 the authors completed a national project, led by the Australian Council of Engineering Deans (ACED), with peak industry bodies and several partner universities, funded from the Commonwealth Department of Industry Workplace Innovation Program, to explore how improving industry engagement could contribute further to engineering graduates’ learning outcomes and employability. The data collected from the engineering students and employers, reported in this paper, can now be regarded as baseline data on industry engagement, against which subsequent developments can be referenced. For the first time, students’ ratings of the value of different methods for industry engagement are shown to be related to their ‘authenticity’. Several industry-inspired in-curriculum interventions were also trialled at partner universities. Guidelines for good practice were developed from melding the experiential findings with theoretical perspectives. In the years since completing the project, the accreditation body, Engineers Australia, has updated and intensified its focus on engagement with practice (including changing its language from ‘exposure’ to ‘engagement’), and many engineering faculties have significantly enhanced their models and requirements for work integrated learning and industry engagement. This paper outlines these changes and examples of new implementations, including virtual and electronically-mediated methods that also reflect ongoing changes in engineering industry practice.&nbsp; &nbsp

Personal Skills in the BISE Curriculum: An Integrative Approach

In an increasingly complex and dynamic world, young executives need certain soft skills to be forearmed for the challenges of their job. The need for training of these personal skills in higher education is recognized among the business and information systems engineering (BISE) society. Yet, existing approaches often integrate the development of soft skills implicitly, usually without quantitively measuring the impact on students. However, an initial literature review identified a demand for an explicit and systematic integration of personal skills in basic lectures. We present an approach that systematically integrates the training of personal skills in a basic BISE lecture for first-semester students. To exemplify this approach, we describe the integration of the selfleadership strategy self-observation in a lecture on process modeling. Our research project follows the Design Science Research methodology. The outlook previews the completion of the first design cycle by describing the planned evaluation and further research ideas

Behind the scenes of emerging technologies Opportunities, challenges, and solution approaches along a socio-technical continuum

Digitalization is a socio-technical phenomenon that shapes our lives as individuals, economies, and societies. The perceived complexity of technologies continues to increase, and technology convergence makes a clear separation between technologies impossible. A good example of this is the Internet of Things (IoT) with its embedded Artificial Intelligence (AI). Furthermore, a separation of the social and the technical component has become near enough impossible, for which there is increasing awareness in the Information Systems (IS) community. Overall, emerging technologies such as AI or IoT are becoming less understandable and transparent, which is evident for instance when AI is described in terms of a black box. This opacity undermines humans trust in emerging technologies, which, however, is crucial for both its usage and spread, especially as emerging technologies start to perform tasks that bear high risks for humans, such as autonomous driving. Critical perspectives on emerging technologies are often discussed in terms of ethics, including such aspects as the responsibility for decisions made by algorithms, the limited data privacy, and the moral values that are encoded in technology. In sum, the varied opportunities that come with digitalization are accompanied by significant challenges. Research on the negative ramifications of AI is crucial if we are to foster a human-centered technological development that is not simply driven by opportunities but by utility for humanity. As the IS community is positioned at the intersection of the technological and the social context, it plays a central role in finding answers to the question as to how the advantages outweigh the challenges that come with emerging technologies. Challenges are examined under the label of dark side of IS, a research area which receives considerably less attention in existing literature than the positive aspects (Gimpel & Schmied, 2019). With its focus on challenges, this dissertation aims to counterbalance this. Since the remit of IS research is the entire information system, rather than merely the technology, humanistic and instrumental goals ought to be considered in equal measure. This dissertation follows calls for research for a healthy distribution along the so-called socio-technical continuum (Sarker et al., 2019), that broadens its focus to include the social as well as the technical, rather than looking at one or the other. With that in mind, this dissertation aims to advance knowledge on IS with regard to opportunities, and in particular with a focus on challenges of two emerging technologies, IoT and AI, along the socio-technical continuum. This dissertation provides novel insights for individuals to better understand opportunities, but in particular possible negative side effects. It guides organizations on how to address these challenges and suggests not only the necessity of further research along the socio-technical continuum but also several ideas on where to take this future research. Chapter 2 contributes to research on opportunities and challenges of IoT. Section 2.1 identifies and structures opportunities that IoT devices provide for retail commerce customers. By conducting a structured literature review, affordances are identified, and by examining a sample of 337 IoT devices, completeness and parsimony are validated. Section 2.2 takes a close look at the ethical challenges posed by IoT, also known as IoT ethics. Based on a structured literature review, it first identifies and structures IoT ethics, then provides detailed guidance for further research in this important and yet under-appreciated field of study. Together, these two research articles underline that IoT has the potential to radically transform our lives, but they also illustrate the urgent need for further research on possible ethical issues that are associated with IoTs specific features. Chapter 3 contributes to research on AI along the socio-technical continuum. Section 3.1 examines algorithms underlying AI. Through a structured literature review and semi-structured interviews analyzed with a qualitative content analysis, this section identifies, structures and communicates concerns about algorithmic decision-making and is supposed to improve offers and services. Section 3.2 takes a deep dive into the concept of moral agency in AI to discuss whether responsibility in human-computer interaction can be grasped better with the concept of agency. In section 3.3, data from an online experiment with a self-developed AI system is used to examine the role of a users domain-specific expertise in trusting and following suggestions from AI decision support systems. Finally, section 3.4 draws on design science research to present a framework for ethical software development that considers ethical issues from the beginning of the design and development process. By looking at the multiple facets of this topic, these four research articles ought to guide practitioners in deciding which challenges to consider during product development. With a view to subsequent steps, they also offer first ideas on how these challenges could be addressed. Furthermore, the articles offer a basis for further, solution-oriented research on AIs challenges and encourage users to form their own, informed, opinions.Die Digitalisierung ist ein sozio-technisches Phänomen, das unser persönliches Leben, aber auch die Wirtschaft und die gesamte Gesellschaft prägt. Die wahrgenommene Komplexität von Technologie nimmt stetig zu. Die Technologiekonvergenz macht eine klare Trennung zwischen Technologien praktisch unmöglich, wofür das Internet der Dinge (IoT) mit seiner eingebetteten Künstlichen Intelligenz (KI) ein gutes Beispiel ist. Darüber hinaus wird eine Trennung der sozialen und der technischen Komponente nahezu unmöglich, wofür es ein steigendes Bewusstsein in der Information Systems (IS) Community gibt. Insgesamt werden aufstrebende Technologien wie KI oder IoT weniger verständlich und transparent, was sich beispielsweise darin zeigt, dass KI der Begriff der Black Box zugeschrieben wird. Die Undurchsichtigkeit untergräbt das Vertrauen der Menschen in aufstrebende Technologien, das jedoch für die Nutzung und Verbreitung dieser entscheidend ist, insbesondere wenn Technologien Aufgaben übernehmen oder unterstützen, die hohe Risiken für den Menschen bergen, wie z. B. autonomes Fahren. Kritische Perspektiven auf neue Technologien werden oft unter dem Begriff der Ethik diskutiert, darunter Aspekte wie die Verantwortung für Entscheidungen, die von Algorithmen getroffen werden, moralische Werte, die in die Technologie eingebettet sind, und Datenschutz. Zusammenfassend lässt sich sagen, dass die vielfältigen Chancen der Digitalisierung mit Herausforderungen einhergehen. Die Forschung zu Risiken und Nebenwirkungen ist entscheidend, um eine menschenzentrierte technologische Entwicklung zu fördern, die nicht nur von den Möglichkeiten, sondern insbesondere vom Nutzenstiften für die Menschheit getrieben ist. An der Schnittstelle zwischen Technologie und sozialem Kontext angesiedelt, spielt die IS-Community eine wichtige Rolle bei der Suche nach Antworten auf die Frage, wie die Vorteile die Risiken neuer Technologien überwiegen können. Herausforderungen werden im Forschungsbereich dark side of IS untersucht, welcher in der bestehenden Literatur deutlich weniger Aufmerksamkeit erhält als die positiven Aspekte (Gimpel & Schmied, 2019). Dem möchte diese Dissertation ein Stück weit entgegenwirken, indem ein Fokus auf die Herausforderungen gelegt wird. Da in der IS-Forschung das gesamte Informationssystem und nicht nur die Technologie im Mittelpunkt der Betrachtung steht, sollen humanistische und instrumentelle Ziele gleichermaßen berücksichtigt werden. Darüber hinaus folgt diese Dissertation dem Aufruf nach einer angemessenen Verteilung der Forschung entlang des sogenannten sozio-technischen Kontinuums (Sarker et al., 2019) und löst sich somit von Forschung, die am sozialen oder technischen Endpunkt des Kontinuums angesiedelt ist. Zusammenfassend zielt diese Dissertation darauf ab, das Wissen über IS im Hinblick auf die Chancen und insbesondere die Herausforderungen entlang des sozio-technischen Kontinuums der aufkommenden Technologien IoT und KI voranzutreiben. Damit liefert die Dissertation neue Einblicke für Individuen, um die Möglichkeiten, aber insbesondere die potenziellen negativen Nebenwirkungen der Digitalisierung besser zu verstehen, bietet Orientierung für Organisationen, um diese Herausforderungen zu adressieren, und veranschaulicht die Notwendigkeit und Ideen für weitere Forschung entlang des sozio-technischen Kontinuums. Kapitel 2 leistet einen Beitrag zur Forschung über Chancen und Herausforderungen des IoT. Kapitel 2.1 identifiziert und strukturiert Chancen von IoT-Geräten für Kunden im Einzelhandel. Mit einer strukturierten Literaturrecherche werden Affordanzen von IoT-Geräten für Kunden identifiziert und mit einer Stichprobe von 337 IoT-Geräten wird eine Validierung hinsichtlich Vollständigkeit und Sparsamkeit durchgeführt. Kapitel 2.2 beschäftigt sich mit ethischen Herausforderungen des IoT, genannt IoT-Ethik. Basierend auf einer strukturierten Literaturrecherche identifiziert und strukturiert es die IoT-Ethik und gibt detaillierte Hinweise für die weitere Erforschung dieses wichtigen, aber noch zu wenig erforschten Feldes. Mit diesen beiden Forschungsartikeln unterstreicht diese Dissertation das Potenzial des IoT, unser Leben radikal zu verändern, verdeutlicht aber auch den Bedarf an weiterer Forschung zu potenziellen ethischen Fragen, die mit den spezifischen Eigenschaften des IoT verbunden sind. Kapitel 3 trägt zur Forschung über KI entlang des sozio-technischen Kontinuums bei. Kapitel 3.1 untersucht die Algorithmen, die KI zugrunde liegen. Eine strukturierte Literaturrecherche und semi-strukturierte Interviews, die mit einer qualitativen Inhaltsanalyse analysiert werden, zielen darauf ab, Bedenken gegenüber algorithmischer Entscheidungsfindung zu identifizieren, zu strukturieren und zu kommunizieren, um darauf basierend Angebote und Dienstleistungen zu verbessern. Kapitel 3.2 bietet eine ethische Vertiefung in das Konzept der moralischen Handlungsfähigkeit und untersucht, ob Verantwortung in der Mensch-Computer-Interaktion mit dem Konzept der Agency besser erfasst werden kann. In Kapitel 3.3 wird anhand von Daten aus einem Online-Experiment mit einem selbst entwickelten KI-System untersucht, welche Rolle das domänenspezifische Fachwissen der Nutzer für das Vertrauen in und das Befolgen von Vorschlägen von KI-Entscheidungsunterstützungssystemen spielt. Schließlich wird in Kapitel 3.4 auf der Grundlage designwissenschaftlicher Forschung ein Rahmenwerk für ethische Softwareentwicklung vorgestellt, das ethische Aspekte bereits zu Beginn des Design- und Entwicklungsprozesses berücksichtigt. Diese vier Forschungsartikel können Praktikern als Orientierung dienen, welche Herausforderungen bei der Produktentwicklung zu berücksichtigen sind und bieten erste Ideen, wie sie diese angehen können. Darüber hinaus bieten die Forschungsergebnisse eine Grundlage für weitere, lösungsorientierte Forschung zu den Herausforderungen von KI und ermutigen Nutzer, sich eine eigene, fundierte Meinung zu bilden