The Human Side of Service Engineering最新文献

{"title":"Processes in Data Science Projects","authors":"Damian Kutzias, Claudia Dukino","doi":"10.54941/ahfe1002572","DOIUrl":"https://doi.org/10.54941/ahfe1002572","url":null,"abstract":"Data science and artificial intelligence have passed the stage of research in the ivory tower over the last years. Applications are not only found in huge enterprises and corporate groups: Many start-up companies were founded, and also small and medium sized enterprises adapt the new technology and take advantage of the capabilities more and more. For many of them, the use of data-based approaches rapidly become a necessity due to the product and service range of the competition or customer expectations. In particular, companies coming from other business sections than information technology face the challenge to implement new and robust data-based solutions. Classical structures and competencies have to be combined with new ones in data science projects, which usually come with high interdisciplinarity. Some aspects of such projects can be done just as in classical projects whereas others have to be slightly adapted and also some completely new arise. Data science process models can assist enterprises by facing these challenges with a structured approach, however most of them focus on the new or technical aspects of such projects or ignore the business context. This paper focuses on the aspect of business processes from data science projects in practice and shows their relevance in several points of time in and around a project’s lifetime. Process-related differences to classical projects are shown and possibilities to take processes into account in an appropriate manner are discussed. Lastly, recommendations are given to cope with processes in the context of data science projects respecting the interplay of processes, humans and technology.","PeriodicalId":380925,"journal":{"name":"The Human Side of Service Engineering","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121979989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bridging the Gap Between Industry and Education: Engaging Design Professionals in the Education of Student Designers","authors":"J. Hurley, Nico Raddatz, Debra Satterfield","doi":"10.54941/ahfe1002537","DOIUrl":"https://doi.org/10.54941/ahfe1002537","url":null,"abstract":"I-SPACE, Innovation for Students, Practitioners, Alumni, and Community Engagement, is a new model for higher education that uses online and hybrid teaching strategies to facilitate extended interactions between students and design professionals. Using I-SPACE online meetings to bridge the gap between industry and education, students obtain industry collaborations with design professionals, giving an internship-type of experience in the classroom and introducing them to high quality early career networking opportunities. I-SPACE also provides a valuable tool for diversity, equity, and inclusion in professional design education. By using the I-SPACE online and hybrid model of teaching, students from underserved and at-risk populations or those with limited monetary resources can more effectively engage with the professional design community. I-SPACE focuses on three professional practice inspired models of engagement: Co-Creation Student Practitioner, Student Mentorship, and Professional Practice. I-SPACE effectively integrates social networking and complex problem solving into the online curriculum through student collaborations with alumni, design professionals, and community stakeholders.","PeriodicalId":380925,"journal":{"name":"The Human Side of Service Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128911842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Strategic Positioning in Service-Oriented Business Ecosystems: A Strategic Role Model Approach","authors":"Gerrit Hoeborn, Yannick Becerra, Frederic Weingarten, Frederik Winkens","doi":"10.54941/ahfe1003134","DOIUrl":"https://doi.org/10.54941/ahfe1003134","url":null,"abstract":"In recent years servitization – a shift from traditional product-based value creation to-wards services – manifests in the transformation of whole industries. The offered ser-vice is more frequently created in service-oriented business ecosystems (SOBE) result-ing in a paradigm shift. Companies are grappling to strategically position themselves in SOBEs using strategic role models (SRMs). The various approaches for SRM in current literature cannot cover all aspects needed, to fully conceptualize strategic roles, that include relevant service-orientation properties.This paper aims to develop a SRM that is tailored to SOBEs which will help researchers and practitioners to identify and under-stand important roles in their SOBE. By integrating the service-dominant-logic (SDL) existing SRMs were merged into a SOBE-tailored SRM, combining a system- and model theory-based approach. The resulting model includes the three phases of a SOBE: preparation, formation, and operation. In each phase the model consists of three system levels: central value creation, complementary services, and enabling network. All system levels have a defined set of up to ten roles and their typical relationships. The designed six step approach – 1. identification of the SOBE, 2. identification of actors, 3. allocation of roles, 4. creation of role profiles, 5. description of relationships, 6. visualization of the SRM – was used to model and analyse a SOBE in the context of construction for plan-ning and construction of a commercial building. This paper shows, that by using the tailored SRM for SOBE enables a structured approach to detect crucial differences (e.g. increments of certain roles or actors) on a general level as well as in a specific SOBE from construction. This facilitates practitioners to analyse their strategic environment and to systematically develop new positioning alternatives by reducing complexity and struc-turing relevant information for positioning.","PeriodicalId":380925,"journal":{"name":"The Human Side of Service Engineering","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131967889","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Implicit Bias in UX Research Methods","authors":"Nathaniel Pereira","doi":"10.54941/ahfe1002544","DOIUrl":"https://doi.org/10.54941/ahfe1002544","url":null,"abstract":"User Experience (UX) is a multidisciplinary field that utilizes specialized research methodologies to provide approaches to accessibility and usability among the users of a physical or digital product. However, in the development of these methodologies, implicit bias can present obstacles to an equitable user experience for marginalized groups. The purpose of this pilot study was to find trends in the awareness of implicit biases, such as physical, social and emotional, or cognitive and intellectual barriers to participation in UX research processes to ultimately inform larger studies. An online survey and optional interview were distributed to UX professionals from a range of user experience backgrounds that evaluated their robust understanding of implicit bias in UX research methods. Participants were also evaluated on their level of training in ethical UX practices from their formal education and workplaces. The mixed-method survey was split into three sections that investigated demographic data, workplace data, and implicit bias in UX research methodologies data. The results concluded that participants showed preparation for UX ethical practices in formal education. However, a lack of training and guidelines of UX ethical practices in their workplaces was prevalent. This information brings the concern of whether UX research methodologies inhabit inclusion for marginalized audiences, especially in the workforce. Although most participants received a robust understanding of UX ethical practices in formal education, the workforce is where services and products are being designed for all audiences to experience. Overall, participants acknowledged that a level of implicit bias exists within UX research methodologies, especially for populations with physical, social and emotional, and cognitive or intellectual disabilities. Furthermore, the mixed-method survey found that surveys and questionnaires, interviews, usability tests, journey mapping, and persona making were heavily utilized in the UX research process. A discussion of how these methods possibly present implicit bias was included. Although the data from the interview remains inconclusive due to a lack of data, the methodology used was proved to be vetted and valid by the participant. However, the participants demonstrated significance in their experiences as UX professionals and that there is a need for a vigorous understanding of humanity for the UX field. The results and methodology from this pilot study can be used for a larger qualitative and quantitative study. On this basis, the acknowledgment of implicit bias within UX research methods can spark further conversations on the importance of this topic and normalize accessible user experiences for marginalized groups within the UX community. Future implications involved finding mitigation or alternative strategies for marginalized groups with UX research methods, and exploring what specific educational topics and degrees contribute to be","PeriodicalId":380925,"journal":{"name":"The Human Side of Service Engineering","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130325136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bringing Data Science to Practice: From Protype to Utilisation","authors":"Damian Kutzias, Claudia Dukino","doi":"10.54941/ahfe1003105","DOIUrl":"https://doi.org/10.54941/ahfe1003105","url":null,"abstract":"Data science and artificial intelligence have passed the stage of innovative trends. The applications in practice increase with every year with enterprises of all industry sectors creating new solutions utilising their data. However, there is much to learn for the enterprises, especially for those new to the implementation of information technology and data-based projects. Data science process models can assist in structuring such projects by giving ideal-typical project structures and assist with the provision of explanations, best practices, and concrete tools. One aspect which is rarely covered by data science process models is the utilisation of the results beyond their technical integration. This includes the risk of failing in operation due to missed requirements regarding affected employees or organisational aspects of the enterprises, especially their business processes. This paper provides an overview of relevant aspects for the integration of new data-based solutions into practice, i. e. the socio-technical system environment of the enterprise. Bridges to different project phases and results are shown to derive measures for integration. In addition, common tools for handling the arising challenges and tasks are listed and briefly discussed.","PeriodicalId":380925,"journal":{"name":"The Human Side of Service Engineering","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128468747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"“Design Thinking\" as Collaborative Creativity in Group Work: A Case Study at a Japanese Liberal Arts University","authors":"Tomoyuki Shigeta, Yasunobu Ito","doi":"10.54941/ahfe1003119","DOIUrl":"https://doi.org/10.54941/ahfe1003119","url":null,"abstract":"The purpose of Design Thinking is to develop human resources who can exercise creativity in groups and solve various problems in society, mainly through group work. In Japan, many universities have introduced design thinking as an educational program. However, some issues have been pointed out, such as the inability in boosting students’ creativity. Studies have been conducted to examine the effects of design thinking on students’ creativity. The design thinking activities are performed in groups where various factors overlap and creativity is demonstrated as a collaborative effort. To date, only a few studies have examined design thinking as a collaborative creative activity. In this study, we targeted a university online class and recorded the students’ group work and analyzed by focusing on the relationships that are established among people and between people and objects. The results revealed the factors that constitute a collaborative creative activity.","PeriodicalId":380925,"journal":{"name":"The Human Side of Service Engineering","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129238978","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Towards a Metamodel for Service-Oriented Value Creation","authors":"Anne Sophie Tombeil, Lukas Block","doi":"10.54941/ahfe1003132","DOIUrl":"https://doi.org/10.54941/ahfe1003132","url":null,"abstract":"Today, the economy, society and politics are confronted with multiple challenges regarding the future of value creation. These challenges are: The simultaneity of hyper-individualized demand patterns, global challenges such as climate change, food shortage or energy security as well as opportunities and risks through digitalization. Available and sustainable service offerings that create value-in-use are one way to develop solutions towards these challenges. Yet, due to the challenges, their design is characterized by high complexity and requires a new quality of collaboration in multi-responsible actor constellations. Thus, we pose the following research question: How can we succeed in supporting the invention, innovation, and reliable delivery of smart service offerings in complex service-product systems?Modelling is a well-known approach to reduce complexity and enforce understanding as well as innovation in socio-technical systems. As such, our approach aims at developing a formal mathematical model of service-oriented value creation. It allows to model and subsequently simulate new service-oriented and sustainable value creation configurations. It supports strategic management decisions like partner selection but also helps to identify operational design tasks of the system (e. g., interface compatibility).We draw on three concepts as a bases for our model about service oriented value creation:1.A Service has three dimensions: Potential, process and output/outcome2.Complex service-product-system appear, when digital smartness is added. Digital service-product-systems encompass four layers: Infrastructure respectively products and database, digital service, personal service and coordination in the system.3.Business Modelling is oriented in three dimensions: Value proposition (promis making), value creation (promis keeping) and value capture (producing value as well as splitting costs and benefits) Framed by these concepts we locate the space where service-oriented value creation can enfold. The methodological approach to generate the formal model from these concepts combines grounded theory and practice research. Theoretical literature review in the field of service-oriented value creation provides a deductive way to identify model elements and mathematical relationships between them. Practice research follows an inductive argumentation to tune the model towards real-world requirements and challenges (e. g., data availability). Thereby, it relies on discursive transdisciplinary workshop procedures to fuse both parts. The project consortium includes social scientists, industrial engineers and computer scientists. Companies from three industries are involved as practical partners with their service offers or innovation ideas: Services for local public transport in rural areas, services to promote transparency in project management in the construction industry and services to place additive manufacturing products as a service in medical markets.","PeriodicalId":380925,"journal":{"name":"The Human Side of Service Engineering","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127526463","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital Transformation Classification Types and Evolution Process for Established Companies","authors":"Satoshi Okuda, N. Uchihira","doi":"10.54941/ahfe1003124","DOIUrl":"https://doi.org/10.54941/ahfe1003124","url":null,"abstract":"This paper propose that digital transformation (DX) can be classified into three types: DX1.0, DX2.0, and DX3.0. DX1.0 is defined as “institutional optimization”, where internal data is integrated across the company divisions. DX2.0 represents “value chain optimization” where the number of actors such as partners and supplier’s increased, optimization is achieved in providing value to the end users. DX3.0 represents “new business value creation” where new value is created through new business models (for example, servitization, and platform business). This paper further clarifies the method used by companies for updating their business models by utilizing the data, working with other actors, and defining digital transformation classification types and the evolution processes. Digital transformation classification types evolve incrementally when their operation and systems are based on data-centric.","PeriodicalId":380925,"journal":{"name":"The Human Side of Service Engineering","volume":"401 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126988930","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Shedding Light on the Digital Vulnerability: Challenges and Solutions","authors":"Kristina Reinsalu","doi":"10.54941/ahfe1002576","DOIUrl":"https://doi.org/10.54941/ahfe1002576","url":null,"abstract":"There was a hope that digital transformation, in improving public service provision and delivery, and in promoting inclusion – with due regard to the needs of vulnerable populations – is instrumental in mitigating the effects of exclusion and improving people’s livelihoods (UN e-Government Survey 2012). Also, the rise of social media with their more inclusive tendencies and lower technical skill requirements was expected to open new horizons for the inclusion of vulnerable groups. Whereas these hopes have partly become true, we are also witnessing that vulnerable groups are facing new type of risks such as digital harassment, hate speech, disinformation/misinformation attacks and other risks which hinder those groups from fully benefitting from digital transformation.While traditional digital divide reasons (lack of access and skills) remain important, motivational reasons have increased in importance over time. Effective interventions aimed at tacklingdigital exclusion need to take into consideration national contexts, individual experience etc. What worked a decade ago in a particular country might not work currently in a different or even the same country (Helsper, E.J. and Reisdorf, B.C. 2016). The aim of research paper is to shed a light on the digital vulnerability, and to understand (a) which are the groups and activities where digital transformation (increase of digital awareness, skills, resources) could bring about the biggest change in the quality of life, and empowerment? (b) What are the main actors in this field? (c) What are the practical implications to rise their capacity and empower them?Our research collects and analyses data from Ukraine and Georgia. The democratic development of these two countries has been relatively similar. Both countries have also placed emphasis on digital development. However, the state of democracy is fragile in both countries, there are many inequalities and a great threat to security, especially in Ukraine. This makes the vulnerable groups even more vulnerable digitally and the risks mentioned above might have real dramatic consequences.Even though we are looking more closely at these two countries, there is a threat to democracy and societies everywhere, so this focus is universal.The research will make use of primary as well as of secondary data. The primary data will be collected using semi-structured interviews with different stakeholders. The secondary data will be collected from public sources (strategy and policy documents etc.)In our study the digitally vulnerable groups (DVG) are those whose digital engagement in political decision-making and e-services is hindered by their lack of awareness of digital issues, access to technological benefits, and / or digital literacy and skills. Irrespective of the causes (e.g. demographic, socioeconomic and/or health status, living conditions or social position, etc.), these barriers prevent the people from reaping the benefits of digital transformation a","PeriodicalId":380925,"journal":{"name":"The Human Side of Service Engineering","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115449415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}