Fitri Kurnianingsih, Lamidi Lamidi, Armauliza Septiawan
et al.
Kecamatan Belakang Padang, yang terletak di wilayah kepulauan Kota Batam, menghadapi berbagai tantangan dalam penyelenggaraan pelayanan publik yang efektif dan manajemen kinerja aparatur pemerintahan. Wilayah ini terdiri dari pulau-pulau kecil yang tersebar, dengan akses transportasi dan komunikasi yang terbatas, sehingga memengaruhi kualitas dan kecepatan pelayanan kepada masyarakat. Permasalahan utama yang dihadapi adalah belum optimalnya sistem manajemen kinerja aparatur dan rendahnya partisipasi masyarakat dalam evaluasi pelayanan publik. Kegiatan pengabdian kepada masyarakat ini bertujuan untuk meningkatkan kapasitas aparatur sipil negara (ASN) dalam menyusun indikator kinerja individu, mengimplementasikan prinsip Total Quality Management (TQM), serta membangun sistem evaluasi kinerja berbasis data lokal. Pendekatan yang digunakan adalah partisipatif-kolaboratif melalui tahapan observasi, Focus Group Discussion (FGD), pelatihan teknis, dan pendampingan intensif. Hasil kegiatan menunjukkan peningkatan signifikan dalam pemahaman ASN terhadap indikator kinerja, penyusunan standar pelayanan minimum, serta kemampuan penggunaan aplikasi evaluasi sederhana berbasis digital. Selain itu, kegiatan ini juga berhasil membangun sinergi antara aparatur kecamatan dan masyarakat dalam mewujudkan pelayanan publik yang lebih transparan dan responsif. Kegiatan pengabdian ini membuktikan bahwa penerapan prinsip-prinsip TQM dalam konteks wilayah kepulauan dapat dilakukan secara efektif apabila disertai dengan pelibatan aktif komunitas lokal dan dukungan kelembagaan.
Objectives
The aim of this work is to analyze the impact of technological and social crises on the adaptation of various types of organizations to changes in the labor market and management methods in an era of uncertainty.
The ongoing changes in leadership and management principles (of a company or public institution) and the widespread implementation of organizational and technological innovations resulting from the mass implementation of solutions related to automation, robotization, and digitization in many sectors of the economy ("Industry 4.0") are important elements of the conducted analyses and comparisons.
In this context, management in an era of uncertainty must be not only reactive but, above all, proactive, enabling rapid adaptation to changing conditions.
Material and methods
The analysis is based on a systematization of adaptive models in contemporary management, with particular emphasis on the Agile management model and so-called Teal Organizations.
Results
The analysis confirmed the hypotheses that one of the active adaptive responses to emerging technological and social crises in the era of uncertainty are the management models: Agile and Teal Organizations.
Conclusions
The desk-research study revealed that technological and social uncertainty requires the analyzed organizations to adopt a flexible approach to emerging challenges, an innovative approach to resolving them (in accordance with the rules of the market), and a willingness to continuously learn.
The management models adopted for the analysis: Agile and Teal Organizations, are most appropriate for addressing emerging threats, as they offer an effective framework for managing in a changing business environment, promoting organizational adaptability to changing operating conditions, team collaboration, and decentralized decision-making.
This paper explores how inclusive and environmentally focused research and innovation policies challenge dominant models by reshaping directionality and governance for social transformation. It contributes to Critical and Transformative Innovation Studies by addressing key intertwined gaps: the role of agency, the political economy of policy instruments, the politics of continuity, and its territorial grounding. Analytically, it expands a Knowledge Systems approach, promoting a broader, symmetrical view of innovation that values diverse actors, policies, infrastructures, and knowledges. It challenges competitiveness-driven assumptions by exploring how alternative normative directions are negotiated over time. Through two case studies in Argentina—Yogurito (a probiotic yogurt to address malnutrition) and the Paraná River Aquarium (focused on biodiversity conservation)—the paper traces innovation journeys as a process where multiple actors vie to steer its course. Directionality is framed as both a political process of prioritization and decision making amid competing interests and its negotiated outcome, shaped by actors’ visions, knowledge, and policy preferences. The paper also proposes a framework to empirically trace and analyze these evolving pathways. It shows how innovation is steered, which orientations take precedence, and the limits and possibilities of STI as a development driver under enduring structural constraints.
Aim/Purpose: Disruptive technologies impact business cycles and work practices, paving the way for new-generation manufacturing trends. Organizations are constantly working to introduce products with a higher degree of innovation, catering to customer demands in the market. Background: The automobile industry plays a significant role in applying disruptive technologies while proving value to all stakeholders. The technological disruptions in the auto sector can potentially change the relationship between consumers and the automobile while impacting business trends and work practices. Methodology: Various scholarly research material was reviewed to understand the impact of technology disruptions on manufacturing methods, work practices, employee engagement, and skill development. Secondary data analysis was conducted for this qualitative and descriptive study. Contribution: This paper helps to understand the impact created by various technologies in the auto sector on employee retention—the role of man- Machine collaboration in creating job satisfaction among employees. Findings: Besides automation and digitalization, AI, Robotics, and Mechatronics play a crucial role in the sector's evolution. The study findings help us understand the impact of technology on manufacturing and business practices. Recommendation for Practitioners: Investment in training the workforce and embracing collaboration helps employees to benefit from the real world of work. Recommendation for Researcher: To ensure the relevance of research studies, practitioners and researchers should maintain a collaborative approach, using research insights to inform business strategies. Impact on Society : Analyze how technologies like collaborative robots (cobots) are integrated into manufacturing processes and their impact on job roles and efficiency. Technology continues to evolve, so societies shall proactively address challenges and leverage opportunities to take advantage of these innovations. It is the role of government policymakers, industry stakeholders, and educators to shape the auto industry's future in a way that maximizes the benefits to society from technological innovation. Future Research : The study's scope is to be done quantitatively by covering OEMs all over India. It discussed disruptive technology in general. Specific technological advancements can be analysed to dive deep into the phenomenon. A similar study could be undertaken in another industry besides the automobile.
Robotics is the science of creating and assembling tangible robots to enhance automation and creativity. Engineering and computer science are combined in the field of robotics, which deals with the creation, manufacturing, and use of robots. Robotics is undergoing a fast evolution with ground-breaking discoveries that are changing entire sectors and societal contexts. Recent advances in AI have accelerated robotics' progress toward more flexibility and autonomy. There are many different types of robotics. A robot could be an artificial intelligence (AI) device that looks like a person, or it could be a robotic application like robotic process automation, which resembles how people interact with software to carry out repetitive, rule-based tasks. The continued convergence of robotics with artificial intelligence, materials science, and other interdisciplinary domains holds the potential to open up new avenues for automation and human-robot cooperation. This study offers an overview of the most recent advancements in robotics, including significant technological innovations, cutting-edge applications, and developing trends
While corporate innovation serves as a pivotal competitive advantage for firms, the subtle influence of cognitive biases on the creative process cannot be underestimated. This study aims to explore the extent to which unconscious bias limits ideation within multidisciplinary teams. Ethnographic research and survey findings reveal that unconscious bias does influence ideation by curbing creativity, constraining the exploration of novel concepts, and nurturing criticism of ideas that differ from one’s own perspective. Despite the unavoidable presence of unconscious bias, multidisciplinary teams can take proactive measures to recognise, acknowledge, and address it through open communication and managerial coaching.
Mariana Sedliačiková, Nikolay Neykov, Ján Dobrovič
et al.
In the context of the role the wood-processing industry has in Slovakia, Poland, and Bulgaria, as an income provider in rural regions and contemporary challenges like inflation and intensive competition, there is a need to assess the performance of microenterprises using Data Envelopment Analysis (DEA), considering the crucial role these entities play in the regional economies. The aim is the creation of a more universally applicable DEA model for assessing the efficiency and performance of wood-processing microenterprises, taking into account the unique challenges and opportunities in Slovakia, Poland, and Bulgaria, defining the profile of optimal enterprise according to methodology in the current research, and indicating the leading problems in their performance. In their management, wood-processing enterprises respond to changes in the external environment, pursuing profit extraction in the competitive struggle. Comparisons with similar companies provide data on the economic efficiency of the sector and the gaps the enterprise needs to correct. Data from the Eurostat Structural Business Statistics were involved for 2011-2020. The current study used Data Envelopment Analysis (DEA), a nonparametric technique that allows enterprises to compare their efficiency frontiers and, from there, reveal their competitiveness. Thus, they can be arranged and measured, and the differences between the inputs and outputs of enterprises can be measured, as well as the efficiency. The results revealed that all the surveyed countries have a problem with the gross value added by a wood-processing micro-enterprise. Polish and Bulgarian enterprises have a problem with pure technical efficiency. Slovakian enterprises have excellent performance and can be used as a benchmark in optimizing the activities of Polish and Bulgarian enterprises.
The purpose of scientific research is discovering the stages, protocols, ways and instruments of becoming the Industry 5.0 through the prism of innovation, technology in management of industry and business, and introducing the features that define the new quality of smart industry, smart business, and smart services among which modularity, interoperability, virtual reality. The rapid emergence of the Industry 5.0 declares new quality of economic relations through innovation, discoveries and technologies in management of industry and business. Key features of the Industry 5.0 include: full automation of the production process; high communication between staff and machine through Internet technologies; cyber-physical systems that integrate into one network, interact in real-time, self-tune, self-study. The structural elements of the ecosystem of Industry 5.0 are presented, and it is proved that they determine an effective digital economic relation that shapes the gig-economy, as a result of step-by-step content of the stages of becoming a smart business, assets, and digital platforms. Tools and mechanisms that will accelerate the emergence of the Industry 5.0 have been identified. The content of the concept “ecosystem of the Industry 5.0” is disclosed. A number of practical measures are proposed, aimed at deepening the development of high-tech industries and expanding the new quality of life of people. The main characteristics that determine the emergence of smart industry and smart services are indicated. The visual section of the structural elements of the Industry 5.0 concept presented in this paper is an attempt to understand the essence of the Industry 5.0 for the reason that it differs significantly from the theory in its incompleteness and lack of verification. The value of the presented research is that the understanding of the Industry 5.0 content is through the prism of its structural elements in the conditions of virtual reality and the functioning of Industry exclusively within the 7th technological system. In order to use all the power of available information technology, authors propose to abandon old processes, rethink the content of work, radically restructure processes and give businesses a new format of cooperation. This requires ensuring the variability, dynamism and adaptability of economic development processes based on digital context. Development of production processes in terms of their digitalization and innovation of the economy is proposed to be divided into stages of standardization, adaptability and predictability, which will allow for consistent digital transformation, which opens fundamentally new opportunities for added value in almost all sectors of the economy.
Olufunmilayo Ogunwole, Ekene Cynthia Onukwulu, Micah Oghale Joel
et al.
Modernizing legacy systems is critical for organizations striving to enhance operational efficiency, scalability, and security in an increasingly data-driven and digital landscape. Traditional infrastructures, burdened by technical debt, security vulnerabilities, and operational inefficiencies, pose significant challenges to innovation and long-term sustainability. This paper explores a scalable approach to legacy system modernization, emphasizing next-generation data architectures and seamless integration strategies. It examines the limitations of outdated systems, the benefits of cloud-native and distributed architectures, and the role of microservices and event-driven frameworks in improving system agility. It also discusses data integration strategies, compares ETL and ELT processes, and highlights the significance of middleware solutions, API-driven ecosystems, and hybrid cloud environments in ensuring interoperability. AI-powered automation and phased transition models are essential for minimizing migration risks and ensuring business continuity. The paper concludes with recommendations for organizations seeking to transform legacy systems, advocating for structured modernization roadmaps, security-centric designs, and future-proof architectural strategies. By adopting these approaches, enterprises can achieve enhanced scalability, resilience, and adaptability in the evolving technological landscape.
Abstract We are witnessing the Fourth Industrial Revolution (4IR) in which technological discoveries and changes are coming at a dizzying speed generating tremendous transformations of organizations, the environment and societies. The purpose of the present paper is to analyze a set of challenges and opportunities of the workforce and workplace ecosystems in the context of 4IR. Innovation – as key ingredient of scaling-up processes – and the widespread implementation of specific 4IR technologies will lead to substantial, sometimes even disruptive changes of the labor market, but also to the workforce and workplace ecosystems’ transformation. Among others, artificial intelligence (AI), smart robotics, and intelligent automation are emerging technologies that dramatically change the ways of work, productivity, but also the types and number of available jobs. This paper has a few specific objectives: summarizing the main technologies and tools specific to 4IR and Industry 4.0; analyzing the major shifts related to the current structure of the workforce -highlighting the external and technological component (AI, robots, automation); analyzing the hybrid workplace (physical and digital); identifying some emerging technologies and their impact on the work ecosystem. The methodology of the study relies on qualitative methods - literature review, systematization of knowledge, observation/ participation (as experts in different national and international consultancy and training programs). The paper draws conclusions and some remarks regarding the intention to address other challenging subjects in the future, such as: rethinking performance management systems to reflect and tackle these challenges; skill gaps and the role of emerging technologies in supporting Society 5.0. - a more sustainable, inclusive and human-centric society.
Artificial intelligence has not only the potential to influence services and products but also change the existing innovation process itself. While AI creates economic and technological disruption within firms’ competitiveness by serving as a General Purpose Technology (GPT), the focus of the previous literature has been made to the impact on AI on macro economy and employment substitution. To fill this gap, this paper investigates the relationship between the adoption of AI technologies and firm performance such as firm value, profit and cost structures. We identified 105 listed firms in the U.S. that have adopted AI technologies from 2008 to 2014, and tested the relationship using Difference-in-differences (DID). Our empirical findings indicate strong evidence for the positive relationship between AI and firm value. In addition, we find that automation AI has significant and positive impacts on the firm’s cost structure, while we do not find evidence of the effect of augmentation AI on the firm’s profit and cost structures. Finally, we discuss implication of AI adoption by firms for academic literature and firm strategy for AI technologies.
Artificial intelligence has led to the automation of traditional manufacturing and industrial processes and practices. The use of artificial intelligence improves customer experience and it's a proven fact that consumers who enjoy their shopping experience end up making more purchases. Retailing is one of the sectors that has seen drastic changes after the inception of artificial intelligence. This transformation can be seen in the supermarkets like Amazon Go store, Alibaba Hema store, IKEA, and many others. The objective of this chapter is to study the impact of artificial intelligence on Indian retail customers. Primary survey was conducted for the study and it was found that retail organizations emphasizing store design/layout and adoption of technological innovation to ease the consumer buying process were more successful in creating loyal customers for their stores. It can be concluded that India is still lacking in the adoption of IT systems in the retail sector and serious efforts are required in this direction.
In the context of automation and digitalization technologies and due to the existing trends of re-urbanization, autonomous vehicles for execution of services such as package delivery, transportation, vegetation care and street cleaning are considered innovative solutions. This paper presents a concept and implementation of a system developed to plan and deliver packages within pedestrian areas, using autonomous vehicles. The novelty of the system lies in the systematic view of this use case, which considers all stakeholder views from the CEP (courier, express, and parcel services) provider, traffic participants, and customers and where the technical and technological innovation is guided by interactivity with the users. This work outlines the design and integration of user interaction, the developed vehicles within the fleet designed for operating within pedestrian environments, and localization and navigation strategies. After the vehicles were approved and certified from a technical point of view to operate in pedestrian areas, the entire system was tested and evaluated in a new city district of Heilbronn with approximately 800 inhabitants. In the last six weeks of experiments, 572 packages were delivered in an autonomous way. The interactive way of planning and executing services on demand led, according to a market study in Heilbronn, to an increased acceptance of the users for autonomous package delivery services from 76% to 91%.
Проблема керування дволанковим маніпулятором залежить від рівня складності системи. При використанні дволанкового маніпулятора потрібно вирішити дві проблеми. Перша проблема полягає в тому, що потрібно визначити параметри керування таким чином, щоб задана позиція маніпулятора змінювалась за відповідною траєкторією. Друга проблема полягає в тому, що для досягнення потрібної позиції маніпулятора потрібно правильно параметризувати математичну модель системи управління. Однією з проблем, яка впливає на точність управління маніпуляторами полягає в правильній побудові адекватних динамічних моделей керування.
В даному дослідженні запропоновано розглянути прямий метод розробки динамічної моделі маніпулятора. Пропонується застосовувати математичну модель, яка побудована на принципах теоретичної механіки із застосування рівнянь Лагранжа другого роду.
Для створення динамічної моделі дволанкового маніпулятора було визначено кінетичну та потенціальні енергії складових систем маніпулятора, а на основі рівняння Лагранжа другого роду отримано динамічні рівняння руху.
Також було визначено залежності між координатами захоплювача та узагальненими координатами. Ці залежності допомогли встановити рівняння управління, які дозволяють здійснити керування за характеристиками руху захоплювача дволанкового маніпулятора.
Bonno Pel, Julia M. Wittmayer, Flor Avelino
et al.
Society is transforming through a whirlpool of innovations. This includes technological as well as social innovations, i.e. changes in social relations involving new ways of doing, organizing, framing and knowing. Especially the potentials for transformative social innovation (TSI) are gaining the interest of progressive political actors and critical scholars. Occurring in the form of new modes of governance and alternative ways of working and living together, TSI involves the challenging, altering or replacing of dominant institutions. As documented in various strands of critical social inquiry and innovation research, TSI praxis is pervaded with contradictions, anomalies and paradoxes. This methodological contribution addresses the challenge that tends to remain: How to elaborate this general critical awareness into more operational ‘strategies of inquiry’? The paper discusses paradoxes of a) system reproduction, b) temporality, and c) reality construction. Identifying distinct kinds of contradictions and distinct empirical phenomena, this differentiation also calls attention to the associated differences between realist, processual and constructivist research philosophies. Gathering the empirical analyses, theoretical interpretations and methodological advances that have been made on these paradoxes, this contribution opens up the scope for critical and practically relevant innovation research: It is important to bridge the divide between rigorous but sterile methodological know-how, and critical-reflexive theorizing that lacks operational insights.