Digitalising Social Protection Systems for Achieving the Sustainable Development Goals: Insights from Zimbabwe

Social protection systems, a target of the United Nation’s (UN) Sustainable Development Goals (SDGs), are intended to reduce extreme poverty, build human capital, and protect against risks to sustainable livelihoods and well-being. As social protection systems are by their nature inherently complex, multi-faceted, and socially embedded, it is inevitable that tensions will emerge between their design and implementation, representing design-reality gaps. These tensions present an excellent opportunity for cross-disciplinary research, by understanding how best to bridge these design-reality gaps. In this qualitative, interpretivist case study, we situate our work on the ground with the actors involved in the design, implementation, and use of a social protection system in Zimbabwe. We find interaction failures amongst some users; design-reality gaps around network access and ICT policy implementation; as well as mixed views regarding transparency and accountability of ICT. Our findings provide rich insights from ICT users in the global south and underscore the importance of the co-creation of IS interventions together with communities to ensure technologies consider social, political, economic, and network realities. We conclude by providing directions for future research

Contextual impacts on industrial processes brought by the digital transformation of manufacturing: a systematic review

The digital transformation of manufacturing (a phenomenon also known as "Industry 4.0" or "Smart Manufacturing") is finding a growing interest both at practitioner and academic levels, but is still in its infancy and needs deeper investigation. Even though current and potential advantages of digital manufacturing are remarkable, in terms of improved efficiency, sustainability, customization, and flexibility, only a limited number of companies has already developed ad hoc strategies necessary to achieve a superior performance. Through a systematic review, this study aims at assessing the current state of the art of the academic literature regarding the paradigm shift occurring in the manufacturing settings, in order to provide definitions as well as point out recurring patterns and gaps to be addressed by future research. For the literature search, the most representative keywords, strict criteria, and classification schemes based on authoritative reference studies were used. The final sample of 156 primary publications was analyzed through a systematic coding process to identify theoretical and methodological approaches, together with other significant elements. This analysis allowed a mapping of the literature based on clusters of critical themes to synthesize the developments of different research streams and provide the most representative picture of its current state. Research areas, insights, and gaps resulting from this analysis contributed to create a schematic research agenda, which clearly indicates the space for future evolutions of the state of knowledge in this field

Cyber-Physical Production Testbed: Literature Review and Concept Development

Many researchers use virtual and simulation-based testbed technology for research in production and maintenance optimization. Although, the virtual environment produces good results, it cannot imitate the unexpected changes that occur in actual production. There are very few physical testbeds emulating actual production environment. The aim of this paper is to present a concept of a cyber-physical production testbed based on review of Cyber-Physical Systems (CPS) testbeds in research. The testbed consists of a semi-automatic production line equipped with system monitoring tools, data analysis capabilities and commercial software. This testbed will be used for demonstration of data acquisition for production and maintenance prioritization. Additionally, the testbed will be used for research in IoT platforms for production optimization

An IS-Perspective on Omni-channel Management: Development of a Conceptual Framework to Determine the Impacts of Touchpoint Digitalization on Retail Business Processes

The retail industry is continuously changing. Now, the digital transformation is yet again changing the way how retailers operate their business. After the introduction of different channel types, retailers now try to systematically manage these channels and thereby, blur the lines between those and the various customer touchpoints. This digitally-enabled channel management approach is called omni-channel management. One enabler of this approach is the digitalization of traditional customer touchpoints in brick & mortar stores. However, omni-channel management currently lacks an Information Systems (IS)-perspective and most publications mainly deal with technical or marketing aspects. Thus, the impacts and opportunities of the digitalization of specific customer touchpoints are not entirely clear, making it hard for retailers to prioritize their store innovation projects. Therefore, the overall goal of this research is the generation of a theory, which supports retailers with their decisions regarding the digitalization of customer touchpoints. In this article, a guiding conceptual framework is developed as a basis for the research design. This research design guides the ongoing research efforts to determine the impacts of customer touchpoint digitalization on retail business processes

An Analytic and Systemic View of the Digital Transformation of Healthcare

Industry 4.0 represents a digital revolution that is driven by technologies that blur the lines between the physical and digital worlds. Industry 4.0, the latest industrial revolution, is poised to have a profound impact on all aspects of society. In order to understand how the healthcare industry is being transformed by the convergence of the physical and digital realms, a systems perspective is taken in this study. Two research questions are addressed regarding the opportunities and interventions that can be provided by both analytical and systems conceptions of digital transformation. I use a systemic literature review approach to address the research questions. A sample of studies between 2000 and 2022 is analyzed. Existing studies mostly examine the effects of new digital technologies on healthcare providers. However, digital transformation also presents significant challenges, such as data privacy, ethical concerns related to AI-based automated decision-making, and equity issues related to e-health. Solutions to major challenges at both micro and macro levels can be derived from the existing theories and tools of systems thinking. For instance, systems thinking\u27s continuous learning and adaptation capabilities can be useful for healthcare organizations to develop the required digital capabilities. Furthermore, the interconnectedness of subsystems and stakeholders in systems thinking can be combined with digital twin technology to investigate the dynamic interactions among key stakeholders, leading to the development of new regulatory policies

Toward Industry 4.0 With IoT: Optimizing Business Processes in an Evolving Manufacturing Factory

Research advances in the last decades have allowed the introduction of Internet of Things (IoT) concepts in several industrial application scenarios, leading to the so-called Industry 4.0 or Industrial IoT (IIoT). The Industry 4.0 has the ambition to revolutionize industry management and business processes, enhancing the productivity of manufacturing technologies through field data collection and analysis, thus creating real-time digital twins of industrial scenarios. Moreover, it is vital for companies to be as “smart” as possible and to adapt to the varying nature of the digital supply chains. This is possible by leveraging IoT in Industry 4.0 scenarios. In this paper, we describe the renovation process, guided by things2i s.r.l., a cross-disciplinary engineering-economic spin-off company of the University of Parma, which a real manufacturing industry is undergoing over consecutive phases spanning a few years. The first phase concerns the digitalization of the control quality process, specifically related to the company's production lines. The use of paper sheets containing different quality checks has been made smarter through the introduction of a digital, smart, and Web-based application, which is currently supporting operators and quality inspectors working on the supply chain through the use of smart devices. The second phase of the IIoT evolution—currently on-going—concerns both digitalization and optimization of the production planning activity, through an innovative Web-based planning tool. The changes introduced have led to significant advantages and improvement for the manufacturing company, in terms of: (i) impressive cost reduction; (ii) better products quality control; (iii) real-time detection and reaction to supply chain issues; (iv) significant reduction of the time spent in planning activity; and (v) resources employment optimization, thanks to the minimization of unproductive setup times on production lines. These two renovation phases represent a basis for possible future developments, such us the integration of sensor-based data on the operational status of production machines and the currently available warehouse supplies. In conclusion, the Industry 4.0-based on-going digitization process guided by things2i allows to continuously collect heterogeneous Human-to-Things (H2T) data, which can be used to optimize the partner manufacturing company as a whole entity

Beyond panopticism: On the ramifications of surveillance in a contemporary professional setting

This paper provides fieldwork evidence, which solidifies an emerging view in literature,regarding the limitations of the panoptical metaphor in informing meaningfully and productively the analysis of contemporary surveillance and control. Our thesis is that the panopticon metaphor, which conceives of the organization as a bounded enclosure made up of divisible, observable and calculable spaces, is becoming less and less relevant in the age of contemporary surveillance technologies. Through a longitudinal socio-ethnographic study of the ramifications of surveillance ensuing from the implementation of a computerized knowledge management system (KMS) in a Parisian tax/law firm, our analysis points to the proliferation of lateral networks of surveillance having developed in the aftermath of implementation. In this complex and unstable constellation of rhizomatical controls, peers are involved in scrutinizing the validity of one another’s work, irrespective of the office’s hierarchies and official lines of specialization. As a result, games of visibility (exhibitionism), observation (voyeurism) and secrecy (hiding one’s work from the KMS) abound in the office. One of our main conclusions is to emphasize the pertinence of apprehending control and surveillance from angles that take into account the ambiguities, complexities and unpredictability of human institutions, especially in digitalized environments

Modeling Business Models: A cross-disciplinary Analysis of Business Model Modeling Languages and Directions for Future Research

Modeling languages for business models are a powerful and flexible means of representing and communicating knowledge related to business models. More than fifteen years after Osterwalder et al. (2005) clarified the ontology for the business model concept in this journal, we offer a systematic and cross-disciplinary assessment of the literature on business model modeling languages (BMMLs) that facilitate the visualization of this concept. In so doing, we synthesize and organize the knowledge dispersed across different disciplines in which BMMLs have originated and highlight the potential weaknesses in this literature to offer solid insights for future research. Our analysis reveals the existence of 17 BMMLs that have originated in traditional domains such as strategy and information systems, but also emerging domains such as sustainability. We contrast and compare these BMMLs along three dimensions: semantics, syntax, and pragmatics. We also analyze research that has made use of these BMMLs, differentiating between research that is conducted with a given BMML and research that is conducted about a given BMML. We conclude by offering a research agenda in which we illustrate the main challenges associated with the lack of well-accepted semantic, syntactic, and pragmatic foundations of BMMLs and outline opportunities for future research