Back to Papers

Digital transformation in operations management: Fundamental change through agency reversal

Spyros Angelopoulos, Elliot Bendoly, Jan C. Fransoo, Kai Hoberg, Carol Xiaojuan Ou, Antti TenhiäläOperations供应链管理UTD24
Journal of Operations Management2023-08-13Durham University; The Ohio State University; Tilburg University; Kühne Logistics University; IE UniversityDOI
Citations73

The emergence of digital technologies across all aspects of operations management (OM) has enabled shifts in decision making, shaping new operational dynamics and business opportunities. The associated scholarly discussions in information systems (IS) and OM span digital manufacturing (e.g., Roscoe et al., 2019), the digitalization of OM and supply chain management (e.g., Holmström et al., 2019), platform outcomes (e.g., Friesike et al., 2019), and economies of collaboration (e.g., Hedenstierna et al., 2019). For such changes to be successful, however, there is a need for organizations to go beyond the mere adoption of digital technologies. Instead, successful changes are transformational, delving into digital transformation (DT) endeavors (Vial, 2019), which in turn can enable operational improvements in organizational performance (Davies et al., 2017), lead to structural changes in operations processes, and may result in new business models being deployed. Appropriately, DT endeavors are increasingly treated in both the IS and OM literature as an ongoing process rather than an isolated project with a clear start and finish (e.g., Struijk et al., 2022). Here, we adopt this line of reasoning and specifically treat DT endeavors as: “the use of digital technologies to evolve operational activities by creating new or transforming existing processes, cultures, and customer experiences to meet changing business and market requirements.” Such a perspective is somewhat distinct from widely adopted definitions of DT in IS and OM (e.g., Vial, 2019), as well as from the strict consideration of radical operational innovation (cf. Hammer, 2004). Specifically, our perspective is neither predicated on “disruption” per se, nor limited by such transformations being fundamentally strategic ones for the focal organization. In other words, DT endeavors can (i) extend into the creation of new organizational processes, (ii) transform existing processes either incrementally or more substantially, (iii) shift decision making with regard to those processes, (iv) enable the consideration of new business models, and (v) largely serve as a source of facilitation and synergy in existing ones. In this special issue, we characterize the specific role of DT in OM as follows: through DT endeavors, digital technologies have the potential to affect OM processes and decision-making with regard to finance, design, production, and the delivery of products, services, or combinations of them. The broader OM literature has already set the stage for the consideration of new business models and innovation tournaments that have been extensively influenced by DT endeavors, such as platform services, omnichannel retail, supply chain information exchange, and Internet of Things (IoT)-enabled operations. This line of research can contribute to contemporary and ongoing discussions within the broader field (e.g., Holmström et al., 2019), including the opportunities for organizations to leverage presence in one market into other areas; the emergence of ecosystems that take into consideration all players in the value chain; the appeal of multi-sided platform business models that bring together disparate actors; the value of new data sources when serving new customers; and the importance of artificial intelligence (AI) in the form of advanced algorithmic solutions as a competitive advantage for organizations. Such scholarly discussions can further consider failures caused by the complexity and comprehensiveness of actions that organizations attempt to undertake during DT endeavors (Struijk et al., 2020, 2023). Empirical research as well as theoretical insights into DT endeavors, therefore, can challenge our established understanding of OM theory and practice, and highlight the importance of organizational dynamics as intertwined with higher levels (Struijk et al., 2022). Our aim here, thus, is to provide an epistemic platform to advance our understanding of how DT endeavors, including the adoption of digital technologies, business model innovations, and innovations in collaboration mechanisms and methods of operations improvement, can affect various aspects of OM. In the discussion that follows, we delineate a review and conceptualization of DT in OM, taking stock of the topic within the field and exploring pathways for moving forward beyond the hype. In doing so, we draw attention to a change in the relationship between humans and technology, where the roles of an agent and a principal are being reversed for the first time in the evolution of the broader IS theory and practice. Specifically, we argue that the transformative nature of DT lies in an agency reversal in many organizational processes that are affected by it. Technology evolution has been a central topic for the broader management literature, due to the transformative effect of technological change on organizations, individuals, and society at large (Grodal et al., 2023). Technology is inherent in OM theory and practice, and its role in the value-adding processes of organizations is crucial to the extent that early management theorists used the word “technology” in place of “process” when discussing what we now know as OM (Thompson, 2017). The evolution of OM, thus, has been tightly linked to the evolution of both physical technology as well as advanced IS, from the invention of the spinning jenny in the early 18th century to modern advanced algorithmic solutions. Our special issue focuses on the latter, within the context of DT and the broader consumerization of digital technologies (Gregory et al., 2018; Struijk et al., 2022). Although we use that term (DT) and argue that the contemporary forms of such technologies bear an exceptional potential for fundamental change, it is still useful to view contemporary technologies within the greater picture of the evolution of organizational IS. In doing so, we see three distinct phases in that evolution as shown in Table 1. This view departs from the idea that the contemporary digital technologies are merely linear extensions of technological evolution, in the sense that they deliver similar benefits as all of the previous technologies such as reducing the costs of data collection, storage, as well as processing, and enable faster and better decision making. Instead, we view the historical development in the role of digital technologies in OM as encompassing three major stages: stand-alone tools, integrated tools, and, contemporaneously, increasingly autonomous tools that have the potential to deliver an unprecedented change in the human-technology where DT in OM further three through an on the technologies of the a on how various digital technologies have to OM practice. the when the for the turn of the when and advanced and systems for integrated supply chain the field of OM has an in the use of IS. In those early systems the of manufacturing tools to enable the of with an unprecedented of the systems to the use and of tools from the evolution of physical technologies. Although such IS for the design, and of OM, one IS into the including and the inherent nature of such tools and due to and data Such in the need for the first fundamental change in the role of IS, as in Table 1. of digital tools have to provide benefits to such in data and as well as The in such organizational and technology by a new of IS by the emergence of the information in the the challenge of the of the tools into a and The of systems to be with in many failures through inherent for and process they for many organizations it that a the for and organizations with for and well with tools et al., serve the of those organizations, a of including and to the and in organizational with a new digital an a to the of the of digital tools from business to business processes, a of technologies to processes that organizational including for et al., and systems supply the to development in the use of digital technologies. The in physical technologies that to to to to digital technologies a need for a with and algorithmic advanced a new of to in a of operational from to and increasingly in the of et al., 2022). solutions can from the physical of or enable doing it beyond and In with such solutions an of the as large for which are increasingly from of and tools as technologies enabled and of et al., as well as of data et al., technologies are increasingly of and to and the and of in data and have the performance of digital technologies, a where humans are the of the technology as they are its mere In such a role be already as research that and to the of digital tools are more than they are (e.g., et al., 2018; Although the evolution of IS in OM can be through various and (Grodal et al., we the changing roles in the human-technology relationship Table to better DT in OM as more than a of with the emergence of digital technologies, and the of DT in OM, has been the of to how decision making can be or as well as to how the use of digital technologies and DT and shifts and decision is increasingly by both of such and advanced algorithmic solutions. In the this can a role reversal in as decision and operational by humans 2017). leverage the potential of both in advanced to be 2022). The from technology to technology various of this a of and contemporary organizations. This to both the of processes as well as to processes such as in (e.g., et al., 2022). clear are the costs and benefits of specific levels of agency reversal for organizations, for when technology the principal role by or the that place on the of the to algorithmic solutions et al., The broader management literature has from the early of for a of discussions the importance of as to the of operations (e.g., et al., et al., 2022). all processes from a of customer and all outcomes are on customer however, processes organizations a of processes, the of customer a by various levels of many operations that have a of the of and customer et al., are to customer and they increasingly the need of to be in as rather than between and organizations. organizations have to however, is a similar on digital technologies, either as advanced or as Such has limited scholarly et a of discussion and a contemporary review of the management literature that has in this the role that digital technologies provide to in this digital technologies already to a role in still to a or at many advanced digital technologies can as well as on to In other words, many digital technologies have a to such and to new contemporary that has both and by is to a large model to in on are in how across a of digital technologies. to such is a consideration of how digital technologies can leverage what they are as they are the to changes to In a for this to the use of to (e.g., and to that et al., Such insights be through and specific and solutions are to from how they are as as thus, are to beyond the of agent in a relationship with organizations. technologies a in this which we in Table to the potential for as or limited where on customer where processes by largely where is to actions where advanced and are both and by an OM DT has the potential to both and organizations, however, it can take of the decision-making of a customer DT can be in that and benefits and associated with a of (e.g., et al., decision systems can to on aspects of and they digital technologies as an increasingly can a to in the broader decision-making context of and process This is the for when it to In the early of of digital technologies, the facilitation of an unprecedented of into market performance and however, still on that being The of digital technologies, however, can be used by organizations in place of insights through with the and of advanced algorithmic solutions can now of they et al., 2023). that a from to from of to from to can and be and from such large of through advanced algorithmic are now more for than the and nature of that have been The role has from the to the in this to and this for the value of customer it for the value of customer the value of shifts from in limited and that of digital technologies in one at in benefits to customer (e.g., those more to of value and of that organizations all benefits and opportunities by to customer they have in place of or ones. are clear to be for the value of that can provide benefits for all the discussion can be in the of organizations advanced algorithmic solutions with a of data sources to such as those for per of information including costs and and a of and changes in are now in and can be used as for algorithmic solutions. information such as or may be and are to with to the a are for have the to by algorithmic solutions et al., 2019). research that the extent to which humans value in et al., et al., 2022). thus, as to how to and use the in such than due to such be as an data into the process as by algorithmic that in with its its as more information for and algorithmic the to insights is increasingly et al., et al., 2023). The role of in the however, to an for the broader this for the of in the of the the of such or to more organizational that are for through greater in relationship development (e.g., with or (e.g., with strategic such value-adding shifts for and process may they are of the DT we in Table a consideration similar to that can be with regard to the role of operations and digital technologies. we can of the potential for both and technology to from roles into more in the value chain of an organization. For algorithmic solutions are increasingly to organizations in for The use of algorithmic solutions can a such that from within can be to for and The of process data (e.g., et al., can on algorithmic solutions to opportunities for and of which may have for In digital technologies are as an agent of on with operations there are discussions of algorithmic solutions more as taking the of and into its by a (e.g., et al., et al., further the of agency the principal in decision making, as we in Table and business and operational solutions strategic integrated where operations strategic by where data and technology and insights when where advanced and and process similar transformation is taking place in the For may be autonomous with algorithmic solutions on Such may be operations such as or and The of changes in The broader OM be of as more than a century challenge in this is to DT through the of decision in many the value of algorithmic solutions is for algorithmic solutions still the to take on principal In such with the still as the is where research that humans need a of to well et al., one to is that in operations and supply of the or data are have strategic and are either by digital technologies on such data being of and (Struijk et al., 2023). the presence of that such data of into as the they place in digital technologies as a of decision processes digital technologies that have been to at making are as well as to and the source of et al., 2022). isolated sources of this can the of decision and digital technologies through a provide and in activities and what neither humans nor digital technologies can on on the it is that more changes in business models are to through DT as digital technologies and algorithmic solutions new strategic opportunities. may be by between competitive such as and intelligence through DT may are for business models and and as we in Table with limited on digital with existing or to existing digital new and by by new integrated for with new or with new or to data of and organizations to with as they can now better and the use of by such as or can enable to better use and a organizations can and extend in line with the of and new organizations can on the insights through data and algorithmic solutions to (e.g., Such can either be or as to competitive in the DT the potential to and of the of organizations. This to an for the broader OM are the for (e.g., an has a greater on it may be in its to attempt the that with such may be it is that this shift in decision-making and result in a in the of in an to the of the existing operations of organizations, DT endeavors can opportunities to new and that have associated with organizations. of is an to shifts of this Specifically, rather than such as or in the can now and consider the of this and organizations within the such an of is enable such organizations need to new as well as delivery processes, moving beyond and with new to enable economies of other the value of data when new business models (cf. et al., 2019). The in this special issue the that DT is in OM and the strategic that are For et provide a discussion of how digitalization can be to The through the potential shift in decision making and to DT in operational process as well as across the supply argue that a to is a shift from what they to as to In the is that the in which manufacturing is for both discussion as well as in many associated IS, is as a of to the that information can be at a of between For of the process are with and data from to This in an where data and is into many to OM and modern to that the digital of contemporary organizations. the of digital through the of in the models used in digital a more with that of that is in and of making the of process changes through and In et one of the which shifts in digital technology from agent to principal roles the the potential for use of both forms of either as a or as a strategic they that a shift from to is a for many existing organizations. they and to with DT serving in both agent and principal roles for the discussion of is in and the of the is distinct from that of et in that the is that of rather than a similar there are to process with to from as well as reducing and and through field data and the that on and to and in principal are as a role in DT solutions to with shifts in of strategic et an that greater of in can be in digital and may to be at with one they are all of the a of data and In OM, we have for that the of and and neither to which organizations that a and of the is we can argue that and both it is to one the as of that have which in form a and the to specific of a in a that various forms of In the by et such an is to both the of digital innovation and the of those are with it. the discussion of et focuses on the development of one and of DT DT what are the of other such as (cf. et al., we are to take the insights from the in this special issue to the to be a and need to and to our discussions of value that can be through well and integrated to human-technology et the of with algorithmic solutions in the of the of algorithmic models by through an linear in to the established the of the that the of in on the specific the for further and research in this such as this as and roles in a that on and in the previous our special issue attempt to provide an epistemic platform for our understanding of how DT endeavors, including the adoption of digital technologies, business model innovations, as well as innovations in collaboration mechanisms and methods of operations improvement, can affect various aspects of OM. In doing so, we the of on the of agency reversal in many organizational processes affected by the transformative nature of digital technologies. Specifically, we highlight a change in the relationship between humans and technology, where the roles of an agent and a principal are being reversed for the first time in the of IS. a review and conceptualization of DT in OM and stock of the topic within the broader we pathways for moving forward beyond the hype. the importance of DT in OM, we see pathways for research the in the previous that can and is clear that one research further into the role of in operational The role of the customer to be and as and where see the value of taking a more role in DT endeavors can provide with more and of the to be it costs of to the of where a customer from of the of customer as a can be to challenge for organizations is the by the customer that to be and the of such there is in the of data making data in OM processes be For the of has to use customer data as an for operations. such by which operations can from the insights that can be from customer data and how this can be with the of advanced algorithmic solutions. research and fundamental to this and special issue, the of agency solutions and increasingly in organizational decision making, the in the previous we have of agency which can take place at and we that the of agency reversal can scholarly and business OM. for research on the conceptualization of agency reversal at the and of this in and and of the roles of algorithmic solutions and in the of research focuses on the of decision making within organizations, and its on and process research has the potential of algorithmic solutions for and humans in decision making. Here, it is to how can be in a that the of the various players to an result for organizations. we to a it more than the performance of a aspects the of humans in decision making, in of the decision to to one research has the (e.g., that the when can be and the of humans can be this the humans with the and that more and the other humans in role and by systems where they that they limited of making at the of the role of humans shifts algorithmic of and performance which for many a shift in and research the of DT for and broader at have how digital technologies can be used to the of information in time for management et al., 2022). such technologies have the potential to to business models, this from the of opportunities for research on the and adoption of such that digital technologies. the the of DT opportunities has change and in may in new systems due to associated they are more to the market and competitive to organizations. the other organizations that are to in DT endeavors may it to draw on such may be and (cf. is to that DT is a process that of technology development can affect many and change the of technological as 2022). The in advanced algorithmic solutions how technology can fundamentally change and shift in that on operations. operations are to and lead and to limited to operations the of DT is more In this it is to with has digital processes at its by physical operations in has physical processes at in digital technologies The in of the of the with more than that digital technologies in organizations with physical operations is more than the processes are or already by new digital technologies. DT can competitive on the it can innovations that business operations and decision making. In line with therefore, we research to further on the role of DT in changing the competitive in with a perspective when physical and physical operations into research to of those already the the of DT in OM, and more specifically those to the use of advanced algorithmic solutions within and organizational The and of data can enable the creation of value in organizations the need for decision to The of data can to to et al., and the for organizations to for which result in outcomes et al., 2022). as we have the in performance and of algorithmic solutions can result in the of at all organizational creating for the as well as the need for on a new set of to during a time when organizations, and the society at large are increasingly more to we the that the of advanced algorithmic solutions can have (e.g., et al., 2022). when the of DT on individuals, and a role by to decision-making and for the potential or of information and digital technologies. an of to DT and and are within the broader OM literature, both and operations. can business and project processes from start to The of and in early in early Such enable by and and the ecosystems together within the therefore, a further major in the evolution of decision-making as well as and dynamics in business operations. digital that have established ecosystems are shaping new for supply and In for with In with platform ecosystems have for digital such as as well as for digital such as Such for economies of to be the and supply to value are the when it to value from data used in such research endeavors, therefore, further on the of value within the context of platform ecosystems and of how and to what extent the can and Such research endeavors can to both and organizations, to in the DT Struijk et al., 2023). Such research into DT in OM opportunities for various For the OM field has to research et al., an that has been and well adopted in the IS the DT endeavors can from such as research (e.g., Struijk et al., research et al., and (e.g., as the IS field increasingly the value of research as well as historical and et al., we can from when at the of IS and OM, such as the that DT endeavors time (e.g., Struijk et al., 2022). as the of advanced algorithmic solutions the potential of transforming OM et al., research further to adoption and The topic opportunities for in the context of OM, can further the of in the of algorithmic solutions Our special issue how OM is being by the and adoption of digital technologies and how DT is increasingly a across the broader OM research and practice. The associated of the special issue the importance of the in this we the IS and OM to further the role of agency in decision making due to the adoption of digital technologies. both as well more with regard to advanced algorithmic solutions. of the literature at the of IS and OM that this is the of what is to be an ongoing consideration of role shifts between and technology and Such an agency reversal forward for OM practice, new business models, and supply chain as well as and such a we need to it with new The in algorithmic solutions have when they can provide with the it is more than that we the The to the and of the for as well as the and for for this and for the

Digital transformationTransformational leadershipBusiness processProcess managementBusinessAgency (philosophy)Supply chainComputer scienceKnowledge managementOperations managementMarketingManagement
Related Papers (8-Dimension Scoring)

Antecedent configurations toward supply chain resilience: The joint impact of supply chain integration and big data analytics capability

Yisa Jiang, Taiwen Feng, Yufei Huang · Journal of Operations Management

Score: 70

Breaking out of the pandemic: How can firms match internal competence with external resources to shape operational resilience?

Yuan Li, Xincheng Wang, Tianyu Gong, Haifeng Wang · Journal of Operations Management

Score: 70

The impact of governmental <scp>COVID</scp>‐19 measures on manufacturers' stock market valuations: The role of labor intensity and operational slack

Lujie Chen, Taiyu Li, Fu Jia, Tobias Schoenherr · Journal of Operations Management

Score: 70

Customer base environmental disclosure and supplier greenhouse gas emissions: A signaling theory perspective

Sining Song, Jie Lian, Keith Skowronski, Tingting Yan · Journal of Operations Management

Score: 70

Developing supply chain resilience through integration: An empirical study on an e‐commerce platform

Yinan Qi, Xiaorui Wang, Min Zhang, Qiang Wang · Journal of Operations Management

Score: 70

Bespoke supply‐chain resilience: The gap between theory and practice

Morris A. Cohen, Shiliang Cui, Sebastian Doetsch, Ricardo Ernst, Arnd Huchzermeier, Panos Kouvelis, Hau L. Lee, Hirofumi Matsuo, Andy A. Tsay · Journal of Operations Management

Score: 70

Emerging technologies and the use case: A multi‐year study of drone adoption

Omid Maghazei, Michael Lewis, Torbjørn H. Netland · Journal of Operations Management

Score: 70

Impact of the U.S.–China trade war on the operating performance of U.S. firms: The role of outsourcing and supply base complexity

Di Fan, Yi Zhou, Andy C.L. Yeung, Chris K.Y. Lo, Christopher S. Tang · Journal of Operations Management

Score: 65