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Digital technologies challenge incumbent firms to rethink their established approaches to customer relationships. This article examines how a corporate bank reconfigured its relationship-oriented business model to benefit from digital transformation. The case analysis reveals a gradual transition toward a blended service model that first replaces, then complements, and finally augments physical with digital in increasingly complex customer interactions. While replacing and complementing human-enabled services with digital offerings are necessary steps of the digital transition, the associated competitive advantages are perceived as unlikely to endure. In contrast, augmenting human-enabled services with sophisticated digital technologies holds the potential for sustainable competitive advantage. [ABSTRACT FROM AUTHOR]

Entrepreneurial clients are always searching for ways to do more with less. Planners can support their clients by introducing them to the concept of digital transformation. To help them further, they can provide basic guidance on how to avoid common mistakes with digital transformation by showing them the digital transformation mountain. This framework will help their clients understand their business value, select and pay for relevant/appropriate technology, and get the most out their teams--all of which will help them accomplish more with less. [ABSTRACT FROM AUTHOR]

Servitization is vital to manufacturing enterprises' competitive advantages and financial performance in contemporary digitalisation environments. Enterprises are increasingly relying on industrial Internet platforms to satisfy potential customers' needs as well as to create superior value, but the literature has neglected to explain how enterprises can leverage such digital platform to improve the efficiency and effectiveness of servitization. This study aims at describing how the industrial Internet platform can enable servitization of manufacturers. Based upon the meta-theoretical foundations of service-dominant logic, we identify the 'sense and respond' servitization strategy enabled by the industrial Internet platform. By performing a questionnaire survey, we find that the industrial Internet platform approach based on the connectivity and compatibility architecture can enable manufacturers to improve the efficiency of resource integration and resource reconfiguration, which facilitates the implementation of servitization via market perception. We argue that the industrial Internet platform affects an organisation's ability to sense the market and resource management actions; these operational resource actions are a significant antecedent of the servitization strategy. [ABSTRACT FROM AUTHOR]

To support adequate strategic decisions, every digital transformation begins with an analysis of the current state of the company. These analyses often include the use of digital maturity models (DMMs). There are numerous DMMs in a wide variety of industries and application areas. While most of these models primarily address the digital maturity of manufacturing companies as a whole, only a few DMMs focus on particular departments or processes. Thus, there is a research gap in this field of study. This paper contributes to the identified gap by developing a DMM for the sales process in B2B project business. Building on a literature review that identified and examined specific DMMs which have been developed in the B2B context, we conducted a case study using expert interviews at a large German industrial company to develop a DMM of the different phases of the sales process. This DMM shall contribute to the research of maturity models and guide companies of different industries in their digital transformation activities focusing on the digitalization of their sales process. [ABSTRACT FROM AUTHOR]

The digital transformation involves both risks and opportunities for the sustainability of global supply chains. This systematic literature review of 64 peer-reviewed English journal articles aims to show how the adoption of digital technologies is related to (sustainable) supply chain management practices and associated sustainable outcomes. (Non)existing relationships between these constructs will be examined, which has not been done previously. Content, frequency, and contingency analyses are conducted from a practice-based view. The study reveals three main topics in the literature: (1) a mainstream eco-efficiency debate; (2) supplemented by a data-driven, comprehensive long-term perspective on environmental sustainability; and (3) hard-to-measure substantive sustainability aspects that can be fostered by communication, selective monitoring and certification. An integrated perspective of these three topics is proposed to facilitate a more viable sustainability approach. Based on the identified (non)existing relationships, researchers and practitioners learn about the digital technologies and practices they can use to improve supply chain sustainability. Importantly, it should be recognised that hardly quantifiable targets and related practices are obscured by large datasets. Future research should focus on the integration of economic aspects to ensure the compatibility of long-term substantial sustainability goals and the profitability of the entire supply chain. [ABSTRACT FROM AUTHOR]

This essay inquires whether digitally transformed work can be virtuous and under what conditions. It eschews technological determinism in both utopian and dystopian versions, opting for the premise of free human agency. This work is distinctive in adopting an actor-centric and explicitly ethical analysis based on neo-Aristotelian, Catholic social teaching (CST), and MacIntyrean teachings on the virtues. Beginning with an analysis of digital disruption, it identifies the most salient human advantages vis-à-vis technology in digitally transformed work and provides philosophical anthropological explanations for each. It also looks into external, organizational characteristics on both the macro and the micro levels of digitally transformed work, underscoring their ambivalence (efficiency and profits vs. exclusion and exploitation, flexibility and freedom vs. standardization and dependency) and the need to mitigate their polarizing effects for the sake of shared flourishing. The article presents standards for virtuous work according to neo-Aristotelian, CST, and MacIntyrean frames and applies them to digitally transformed work, giving rise to five fundamental principles. These basic guidelines indicate, on one hand, actions to be avoided and, on the other, actions to be pursued, together with their rationales. [ABSTRACT FROM AUTHOR]

Lean Production Systems are enterprise-specific, methodical frameworks for the continuous orientation of all enterprise processes to the customer in order to achieve overall objectives. Due to an increasing complexity of the digital transformation, the design of Lean Production Systems 4.0 is a challenging task for industrial engineering practice. For this, academia and industrial practice were analysed in a combined approach of a systematic literature review and a field study. The systematic literature review of 62 out of 1600 scientific papers shows that especially the tools, processes, and methods in Lean Production Systems are subject to digital transformation. By involving industrial practice in a field study, quantitative and qualitative insights were used to check scientific hypotheses and identify practical requirements by industrial engineers. As a result, 10 guidelines for the design of future Lean Production Systems 4.0 are derived. The practical implications of this paper enhance the evolution of enterprise-specific Lean Production System 4.0 frameworks. [ABSTRACT FROM AUTHOR]

Digital transformation is a major organisational challenge for manufacturing firms due to the extremely low success rate of such transformations to date. Capability Maturity theory suggests that firms need to develop digital transformation capability incrementally by focusing on a 'vital few' improvement priorities for advancing progress. The practitioner literature lacks empirical studies that validate extant capability maturity models (CMM) for digital transformation despite their importance. Moreover, there is a lack of assessment methods, and those that exist do not specify improvement points explicitly, nor prioritise them. Our research aims to address this gap through a systematic, quantitative analysis of digital capability by understanding the deployment of IT-enabled resources. Based on a sample of 302 manufacturing firms, results indicate that the digital transformation stages are punctuated by various resource-capability combinations. Results highlight that strategy- and organisation-related IT-enabled resources are the key drivers of digital transformation. We also observe that as a firm's digital capability grows at each maturity stage, successively greater IT-enabled resources are required to support this in a stepwise function. To succeed, firms should be incentivised and supported to think beyond technology and develop five specific digital capabilities simultaneously. We also indicate the limitations that underlie our empirical work. [ABSTRACT FROM AUTHOR]

In recent years, the emerging Digital Twin (DT) paradigm under Industry 4.0 has been attracting more attention from both practitioners and academia due to its dynamic capabilities. Most DT studies are theoretical and deal with hypothetical analysis, whereas fewer studies are available on real-life empirical cases. Due to dynamic problem-solving capabilities, DT technologies are widely used in performance improvement analysis in food processing companies (FPC) despite limited implication's for business strategies. Our study incorporates the DT technologies with an implementation case study on FPC and accomplishes the real-life problem of the food processing company (FPC). Moreover, the proposed DT research framework demonstrates the various DT implementation stages, such as strategic mapping and physical-virtual space replica, with rigorous analysis. The results show that DT enhances the existing system's machine availability, allocation efficiency, technical efficiency, worker efficiency, utilization rate, effectiveness, step ratio, and throughput rate. The proposed physical-virtual interface model is executed using AnyLogic software with JAVA-enabled programming. [ABSTRACT FROM AUTHOR]

China's cotton textile industry is undergoing a critical period of digital transformation and upgrading to cope with pressure and challenges such as rising labour costs and large fluctuations in raw material prices. Developing a cost-based competitive advantage while ensuring a high-quality product is a critical problem in intelligent manufacturing. From the perspective of big data and reinforcement learning, the authors designed a reward value combining transaction, interaction, and measurement data by combining the reward mechanism and Markov decision for a combination of different raw materials in the intelligent textile factory. The authors propose a big data-driven application to the depth of the reinforcement learning to solve problems and build a big-data-driven matching model based on deep reinforcement learning to cotton matching. The offline strategy is designed to construct a memory bank and neural network, and the incentive mechanism of reinforcement learning is used to iterate the optimal yarn matching scheme to achieve the goal of intelligent cotton matching. The results show that deep reinforcement learning can be optimised using big data on the premise of quality assurance. Manufacturing costs can be optimised using a matching model of big data based on a deep reinforcement learning model. [ABSTRACT FROM AUTHOR]

Productivity, quality, and flexibility are key production targets pursued by companies that adopt Industry 4.0. However, it is unclear how Industry 4.0 technologies can help achieve these different and sometimes competing targets. This study investigates this relationship through a survey of 92 manufacturers. The study employs Exploratory Factor Analysis to define four main technology arrangements based on 18 Industry 4.0 technologies: Vertical Integration, Virtual Manufacturing, Advanced Manufacturing Processing Technologies, and Online Traceability. Then, independent samples tests were conducted to compare the implementation status of these arrangements when manufacturing flexibility, process quality, and productivity are (or are not) pursued as the main production targets. The results show that Vertical Integration is a general-purpose technology arrangement because it supports all targets. On the other hand, Virtual Manufacturing and Online Traceability are specific-purpose arrangements, adopted especially for flexibility and productivity targets, respectively. Advanced Manufacturing Processing Technologies, in turn, is an integrative-purpose technology arrangement since it is adopted when two competing targets are pursued: productivity and manufacturing flexibility. The study ends with a decision model to implement Industry 4.0 based on the production targets a company may pursue. It shows the interconnection and trade-offs between these production targets and the Industry 4.0 technologies adopted. [ABSTRACT FROM AUTHOR]

Although digital transformation has aroused the interest of scholars and practitioners, how to reach a win-win situation between economic and carbon performance in the context of carbon neutrality has not been well addressed. Based on organizational information processing theory, this study investigates how digital transformation affects economic and carbon performance via low-carbon operations management practices (LOMP) and the moderating role of CEO ambivalence. We test research hypotheses using hierarchical regression analysis by collecting data from 297 Chinese manufacturing firms. Our results reveal that all three dimensions of LOMP mediate the impact of digital transformation on carbon performance, and low-carbon products mediate the impact of digital transformation on economic performance. In addition, CEO ambivalence weakens the impacts of digital transformation on three dimensions of LOMP. The findings extend the digital transformation and LOMP literature and provide theoretical guidance for managers to achieve the goals of economic development and carbon reduction. [ABSTRACT FROM AUTHOR]