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The paper presents a research methodology that could be used to carry out a systematic literature review on the current state of the art of the technological development in the field of the digitalization and unphysicalization of supply chains (SCs). A three-dimensional conceptual framework focusing on the relationship between Digital Technologies (DTs), business processes and SC performance is presented. The study identifies the emerging practices and areas of SC management that could be positively affected by the implementation of DTs. With this in mind, the emerging practices have a high probability to be considered future best practices.

A systematic literature review was conducted on DTs in SC management. The methodology used aims to algorithmically and objectively standardize the information incorporated into thousands of scientific documents. Selected papers were analyzed to investigate the recent literature on SC digitalization and unphysicalization. A total of 87 DTs were selected to be analyzed and subsequently grouped into 11 macro-categories. 17 business processes linked to SC management are taken into account and 17 different impacts on SC management are presented. From a set of 1,585 papers, 5,060 emerging practices were collected and singularly summarized combining DT, business process and impact on SC performance.

A unique analytical perspective provided represents an important evolution when trying to organize the current literature on SC management. The widely used DTs in the practices and the most considered business processes and impacts are highlighted and described. The three-dimensional conceptual framework is graphically represented to allow for the emergence of the best combinations of DT, business process and impact on SC performance. These combinations suggest the most promising areas for the implementation of the emerging practices for SC digitalization and unphysicalization. Additional findings identify and define the most important contexts in which Big Data contributes to SC performance.

The research methodology used is offering progress through which to systemize the current practices as well as detect the potential of digitalization and unphysicalization under the three-dimensional conceptual framework. The paper provides a structured proposal for promising future research directions, assuming that the five research gaps as findings of this research could be the basis for prescriptions, as well as a future research agenda and theory development. Moreover, this research contributes to current managerial issues concerning SC management, referred to data and information management, efficiency and productivity of SC processes, market performance, SC relationship management and risk management in SC.

Despite many efforts within organizations toward business process orientation (BPO), research on real-world experiences remains in its infancy. The purpose of this paper is to redress the existing knowledge gap by analyzing a Swedish public housing company that has made notable effects regarding BPO and to explore lessons learned from the BPO journey (from 1998 to 2013).

The point of departure is principles in the BPO foundation, principles of successful BPM and effects in empirically based literature. The reconstruction of the narrative case study describes milestones and critical junctions, as well as effects based on quantitative and qualitative data.

Effects in BPO are demonstrated in terms of higher customer satisfaction, increased innovative ability, improved operational performance, higher employee satisfaction and, as a result of these, increased profitability. Theoretical constructs with implications for the theory building on BPO are suggested in a three-layer management framework – with capabilities and abilities emerging from the case study used as an illustrative example.

Lessons are learned regarding critical practices related to advancement in BPO. A strategy-building process based on eight design propositions is suggested to define the pre-conditions for BPO in an organization.

This is the first longitudinal case study to provide a comprehensive view and detailed insights of a BPO journey and top management performance toward a business process-oriented organization. Practitioners and BPM community get valuable insights into how the temporality and the context shape the BPO maturity process in terms of new organizational structure and roles during the journey.

This paper aims to contribute to overcoming the gap existing in the supply chain literature related to digital servitization by bridging digital servitization with knowledge management and identifying the rise of digital knowledge servitization as a driver for changes in the supply chain business model towards open innovation.

The study follows an inductive grounded theory approach for theory building. To analyse the impact of digital knowledge servitization, in-depth interviews of managers in the main business units of the Volvo Group supply chain ecosystem were carried out.

The results show how the digital servitization process affects the supply chain business model, highlighting the central role of knowledge in the service ecosystem and the rise of the theoretical concept of digital knowledge servitization. In particular, through the Innovation Lab (Volvo Group) study, the paper contributes to bringing together the theoretical knowledge-based view of servitization with the digital servitization concept, which demonstrates the role of this combined perspective in the transformation of the supply chain; this is carried out by introducing a new business model based on open innovation in inbound and outbound processes.

The research offers interesting insights from a managerial perspective, as increasingly advanced and complex digital solutions require shorter times in supply chain management (SCM). Companies need to be able to quickly manage information and knowledge flows deriving from internal and external interactions and involvement with external actors upstream and downstream of the supply chain ecosystem. Therefore, the digital knowledge servitization of the supply chain also highlights implications for managers in terms of human resources management.

The novel research goal is to contribute to the supply chain literature by integrating the digital servitization with the knowledge view and analysing the impact on the inbound and outbound supply chain through the introduction of an open innovation business model.

This paper aims to examine the relationship between business process management (BPM) and company performance. The research focuses on the instrumental aspect of core business processes and its controlling activities in small and medium-sized companies (SMEs) to identify the relationship to company performance.

The results presented in this paper are based on a survey of Slovene SMEs. A questionnaire was distributed to 3007 SMEs via e-mail and a response rate of 5.42% was achieved. The financial data of companies over a six year period as derived from the publicly available financial reports of SMEs along with an industry-specific financial risk measure and other financial data were used for the company risk-adjusted performance measures of relative residual income (ROE-r) and risk-adjusted ROE (ROE-a) calculation.

The results show that instrumental aspects of core business process controlling activities are related to risk-adjusted company performance measures ROE-r and ROE-a. Companies with lower ROE-r and ROE-a have been perceived to be more focused on the instrumental aspect of BPM. Presumably due to the small sample, the results of a non-parametric Mann–Whitney U test did not statistically confirm the developed hypothesis: “the instrumental aspect of controlling as a core process management activity has a statistically significant impact on company risk-adjusted performance measures such as ROE-r and ROE-a.” Despite this, the results show a possible negative correlation between risk-adjusted performance measures and BPM, which opens possibilities for further research.

The main limitation of the purposed study model is that the paper have studied only control activities of core business processes and relate it to company risk-adjusted performance measures. The study has been limited by the SME sample and the use of a survey as a research instrument. An additional limitation of the research is the degree of reliability implied by the assumptions of the models used to estimate the required return on equity and risk. Results concern investors, managers and practitioners to start BPM improvement initiatives, to set BPM priority measures and to set priority management decisions and further actions.

This paper presents the unique findings from an investigation of the instrumental aspects of BPM practices and their relationship to company risk-adjusted performance measures in SMEs. This paper developed a measurement instrument for measuring the instrumental aspects of BPM use. An additional original contribution is the use of company risk-adjusted performance measures such as ROE-r and ROE-a, which take into account the required profitability of companies in different industries according to the risk and allows comparable results of companies from different industries. The approach is innovative and interesting as regards researching the factors that affect the profitability of companies that operate in different industries.

In the current business context, there is a current need to adopt contemporary practices of process management as a competitive advantage to leverage organizational results. This study aims to explore such relationships, considering the performance results in the organizational resilience (OR) dimension.

The authors collected 82 valid responses from a survey targeted at professionals occupying positions or functions in the operations area. For data analysis, the authors used the technique of structural equation modeling (SEM) using the partial least squares (PLS) algorithm.

The results show that maturity in the management of business processes positively influences the behavior of OR, with the highest level of maturity primarily being responsible for this impact. This result reveals that resilience naturally depends on mature and well-established processes in the organizational structure. The proposed model explained 78.5% of OR.

Companies that maintain mature management of their business processes will be better able to positively influence OR since process management can make organizations less fragile supply chains and more adaptable to changes.

The findings helped clarify the extent to which process management influences the results of OR. Although the literature indicates that maturity in business processes is formed by five first-order constructs, only the “innovated” dimension proved to be significant in the present study.

Managers are increasingly looking to adopt the Internet of Things (IoT) to include the vast amount of big data generated in their decision-making processes. The use of IoT might yield many benefits for organizations engaged in civil infrastructure management, but these benefits might be difficult to realize as organizations are not equipped to handle and interpret this data. The purpose of this paper is to understand how IoT adoption affects decision-making processes.

In this paper the changes in the business processes for managing civil infrastructure assets brought about by IoT adoption are analyzed by investigating two case studies within the water management domain. Propositions for effective IoT adoption in decision-making processes are derived.

The results show that decision processes in civil infrastructure asset management have been transformed to deal with the real-time nature of the data. The authors found the need to make organizational and business process changes, development of new capabilities, data provenance and governance and the need for standardization. IoT can have a transformative effect on business processes.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the propositions further.

The paper shows that data provenance is necessary to be able to understand the value and the quality of the data often generated by various organizations. Managers need to adapt new capabilities to be able to interpret the data.

This paper fulfills an identified need to understand how IoT adoption affects decision-making processes in asset management in order to be able to achieve expected benefits and mitigate risk.

Although businesses continue to take up artificial intelligence (AI), concerns remain that companies are not realising the full value of their investments. The study aims to provide insights into how AI creates business value by investigating the mediating role of Business Process Management (BPM) capabilities.

The integrative model of IT Business Value was contextualised, and structural equation modelling was applied to validate the proposed serial multiple mediation model using a sample of 448 organisations based in the EU.

The results validate the proposed serial multiple mediation model according to which AI adoption increases organisational performance through decision-making and business process performance. Process automation, organisational learning and process innovation are significant complementary partial mediators, thereby shedding light on how AI creates business value.

In pursuing a complex nomological framework, multiple perspectives on realising business value from AI investments were incorporated. Several moderators presenting complementary organisational resources (e.g. culture, digital maturity, BPM maturity) could be included to identify behaviour in more complex relationships. The ethical and moral issues surrounding AI and its use could also be examined.

The provided insights can help guide organisations towards the most promising AI activities of process automation with AI-enabled decision-making, organisational learning and process innovation to yield business value.

While previous research assumed a moderated relationship, this study extends the growing literature on AI business value by empirically investigating a comprehensive nomological network that links AI adoption to organisational performance in a BPM setting.

Digitalization, innovation and changing customer requirements drive the continuous improvement of an organization's business processes. IT demand management (ITDM) as a methodology supports the holistic governance of IT and the corresponding business process change (BPC), by allocating resources to meet a company's requirements and strategic objectives. As ITDM decision-makers are not fully aware of how the as-is business processes operate and interact, making informed decisions that positively impact the to-be process is a key challenge.

In this paper, the authors address this challenge by developing a novel approach that integrates process mining and ITDM. To this end, the authors conduct an action research study where the researchers participated in the design, creation and evaluation of the approach. The proposed approach is illustrated using two sample demands of an insurance claims process. These demands are used to construct the artefact in multiple research circles and to validate the approach in practice. The authors applied learning and reflection methods for incrementally adjusting this study’s approach.

The study shows that the utilization of process mining activities during process changes on an operational level contributes to (1) increasing accuracy and efficiency of ITDM; (2) timely identification of potential risks and dependencies and (3) support of testing and acceptance of IT demands.

The implementation of this study’s approach improved ITDM practice. It appropriately addressed the information needs of decision-makers and unveiled the effects and consequences of process changes. Furthermore, providing a clearer picture of the process dependencies clarified the responsibilities and the interfaces at the intra- and inter-process level.

Due to the convergence of rapid business developments and digitization challenges, service orientation is back on the research agenda as a concept to improve firms’ business services. Yet, little is known about the type of determinants that are relevant and to what degree they affect a firm’s service-oriented strategy.

Building on structural equation modeling (SEM) and a unique data set of 131 international firms from different continents, the authors identify and analyze the key determinants in the context of a firm’s service-oriented strategy.

The findings show that in order to cater for changes, organizations have to manage and adapt the coherence of the determinants’ business services, business processes and knowledge sharing continuously. Moreover, the results show that a service-oriented strategy is not only influenced by business services as such, but business services mediate the relationships between business processes, governance and process-aware information systems to a service-oriented strategy.

A limitation is imposed by the limited sample size and the unbalanced response of participants (executive management). In future research, a more extensive survey among a broader group of participants will help the authors to develop their model further in order to generalize the results, as well as more finely grained research related to geography and size might be pursued. Future empirical research is necessary to identify and test the relationships between other constructs and study their effect on a firm’s service-oriented strategy.

On a practical level, the authors postulate that an organization’s executive management should pay attention to invest in an organizational entity (department) that manages business services continuously. This organizational entity has to ensure that related processes and knowledge sharing are in place to establish and maintain a service-oriented strategy.

This research contributes to service-oriented literature by operationalizing the implementation of an organization’s service-oriented strategy. The authors’ insights go beyond the findings of Aier et al. (2011). The authors found that a service-oriented strategy influences service-oriented project success positively. The authors extended these findings, based on a unique data set, by studying business services and influencing determinants (i.e. business processes, governance, PAIS and knowledge sharing) within the context of service orientation. The renewed attention to the concept of service orientation provides insights into critical determinants that influence the implementation of a service-oriented strategy.

The purpose of this paper is to study the relationship between organizational adaptability, institutional leadership and business process reengineering performance using the tested complexity theory in a developing economy setting.

This study is correlation and cross-sectional and adopts institutional-level data collected via questionnaires from reengineered microfinance institutions in Uganda. Cluster analysis as data mining technique was used to classify cases based on respondents’ opinions into homogeneous clusters. Nvivo was used to understand the perceptions of business process reengineering performance based on qualitative data. The authors used structural equation modeling to derive the predictive model of business process reengineering performance in a developing world setting.

The authors find that organizational adaptability and institutional leadership are key predictors of business process reengineering performance. Results reveal a predictive model of 61 per cent based on structural equation modeling for the study variables. Cluster analysis as data mining approach explored complex patterns of reengineered business processes.

The use of cluster analysis is susceptible to problems associated with sampling error and absence of fit indices. However, the likelihood of these problems is reduced by the interaction with the data, practical implications and use of smart partial least square to generate structural equations based on derived measurement models of each study variable.

Policymakers of Bank of Uganda, Ministry of Finance and Economic Planning, should develop sound policies in relation to knowledge management, institutional leadership and adaptive mechanisms to enhance business process reengineering performance to take advantage of new knowledge opportunities for the improvement of their businesses.

Given the results from structural equations generated, managers need to consider institutional leadership and organizational adaptability as key drivers of business process reengineering performance in microfinance institutions. The results confirm the significant role of institutional leadership, organizational adaptability in determining business process reengineering performance outcomes.

Unlike most of the business process reengineering literature, this study contributes to literature by domesticating and testing complexity theory to explain business process reengineering performance in developing economies.