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Process mining (PM) has emerged as a leading technology for gaining data-based insights into organizations’ business processes. As processes increasingly cross-organizational boundaries, firms need to conduct PM jointly with multiple organizations to optimize their operations. However, current knowledge on cross-organizational process mining (coPM) is widely dispersed. Therefore, we synthesize current knowledge on coPM, identify challenges and enablers of coPM, and build a socio-technical framework and agenda for future research.

We conducted a literature review of 66 articles and summarized the findings according to the framework for Information Technology (IT)-enabled inter-organizational coordination (IOC) and the refined PM framework. The former states that within inter-organizational relationships, uncertainty sources determine information processing needs and coordination mechanisms determine information processing capabilities, while the fit between needs and capabilities determines the relationships’ performance. The latter distinguishes three categories of PM activities: cartography, auditing and navigation.

Past literature focused on coPM techniques, for example, algorithms for ensuring privacy and PM for cartography. Future research should focus on socio-technical aspects and follow four steps: First, determine uncertainty sources within coPM. Second, design, develop and evaluate coordination mechanisms. Third, investigate how the mechanisms assist with handling uncertainty. Fourth, analyze the impact on coPM performance. In addition, we present 18 challenges (e.g. integrating distributed data) and 9 enablers (e.g. aligning different strategies) for coPM application.

This is the first article to systematically investigate the status quo of coPM research and lay out a socio-technical research agenda building upon the well-established framework for IT-enabled IOC.

Critical infrastructures (CIs) for essential services such as water supply and electricity delivery are notoriously vulnerable to disruptions. While extant literature offers important insights into the resilience of CIs following large-scale disasters, our understanding of CI resilience to the more typical disruptions that affect CIs on a day-to-day basis remains limited. The present study investigates how the interorganizational (supply) network that uses and manages the CI can mitigate the adverse consequences of day-to-day disruptions.

Longitudinal archival data on 277 day-to-day disruptions within the Dutch national railway CI were collected and analyzed using generalized estimating equations.

The empirical results largely support the study’s predictions that day-to-day disruptions have greater adverse effects if they co-occur or are relatively unprecedented. The findings further show that the involved interorganizational network can enhance CI resilience to these disruptions, in particular, by increasing the overall level of cross-boundary information exchange between organizations inside the network.

This study helps managers to make well-informed choices regarding the target and intensity of their cross-boundary information-exchange efforts when dealing with day-to-day disruptions affecting their CI. The findings illustrate the importance of targeting cross-boundary information exchange at the complete interorganizational network responsible for the CI and to increase the intensity of such efforts when CI disruptions co-occur and/or are unprecedented.

This study contributes to our academic understanding of how network-level processes (i.e. cross-boundary information exchange) can be managed to ensure interorganizational (supply) networks’ resilience to day-to-day disruptions in a CI context. Subsequent research may draw from the conceptual framework advanced in the present study for examining additional supply network-level processes that can influence the effectiveness of entire supply networks. As such, the present research may assist scholars to move beyond a simple dyadic context and toward examining complete supply networks

Women leaders operate within multiple roles, managing both work and nonwork obligations. Exploring work-life balance constructs, this study examined role integration, social support sources, and work-family conflict to determine their influence on women leaders. Findings suggested that women leaders felt the benefit of a variety of social support services, but especially from sources external to the organization. Women leaders were diverse in role integration strategies, with respondents largely divided between blurring and segregating their work and nonwork roles. Time-based work-family conflict was slightly more apparent than strain-based conflict. Women leaders also indicated that their work interfered with their family more than their family interfered with their work. Findings provide valuable insights as to how women view work-life balance within their roles as leaders.

This article aims to explore whether and how economic, political and demographic municipal conditions shape citizens' attitudes regarding decentralised social policies.

The authors analysed the 2018 wave of the Dutch Local Election Studies, which includes a novel survey item asking respondents whether they prefer local social policies to be primarily: (1) protection-based, (2) cohesion-building or (3) activation-based. The authors appended context indicators to that survey and performed multilevel logistic regression analyses (1,913 respondents nested in 336 municipalities).

At the individual level, these preferences are affected by gender, age, income, education and political inclination, as expected. However, preferences towards local social policies are not shaped by local economic, demographic or political conditions. The authors discuss the implications of these findings for future research.

By using unique data, including a newly developed survey item, this study is the first to explore whether and how municipal conditions shape preferences regarding local welfare. Understanding those preferences is increasingly important as many Western European countries have decentralised swathes of social policies from the national to the local level in recent decades.

Building upon a competence-based employability model and a social exchange and proactive perspective, the purpose of this paper is to investigate the relationship between learning value of the job and employability among academic staff employees. Moreover, this study also examined whether this relationship was moderated by leader–member exchange (LMX) and a proactive coping style.

An online self-report questionnaire with thoroughly validated measures was distributed among academic staff employees (n=139).

The results partially supported the specific study assumptions. Concrete, learning value of the job was positively related to anticipation and optimization, corporate sense and balance. LMX moderated the relationship between learning value of the job, on the one hand, and all employability dimensions, on the other hand. However, proactive coping only moderated the relationship with anticipation and optimization, flexibility and balance. In all cases, under the condition of high moderator variable levels, the relationship became stronger.

This study extends past employability research by applying an interactionist perspective (person: proactive coping style, context: LMX and learning value of the job) approach for explaining employability enhancement. The results of this scholarly work provide useful insights for stimulating future career development and growth, which is of upmost importance in nowadays’ labor markets.

For women in leadership, managing work and life obligations is essential, especially when leading in male dominated occupations such as STEM. This study examined social support and work-family integration/blurring to determine how women in leadership perceived these dynamics. By surveying STEM women leaders, this research explored work-life strategies and support resources used by women leaders to balance their work and non-work domains and promote their roles as leaders. Women leaders indicated difficulty delineating between work and personal roles and recognized informational and emotional support as most significant to their roles as leaders. Findings also indicated that most support came from spouses/significant others, female co-workers, and mentors outside the organization, respectively. These sources provided the support needed to maintain and progress in their roles as women leaders.

The purpose of this study is to develop the self-initiated work adjustment for learning (SIWAL) scale that measures the adjustments that employees make in their work to enhance learning, based on theories and research on workplace learning, work adjustment and work design.

The SIWAL scale was validated in two independent studies. Study 1 (n = 208) focused on the internal consistency and factor structure of the SIWAL scale. Study 2 (n = 178) re-examined the factorial structure using confirmatory factor analysis and investigated scale validity.

In both studies, the SIWAL scale showed good psychometric characteristics, i.e. a clear two-factorial structure and internal reliable sub-scales. The findings also indicated convergent, divergent and concurrent validity.

Using the SIWAL scale, future research could focus on the individual, social and organizational predictors and outcomes of SIWAL, collect supervisor and peer ratings to further validate this self-report scale and investigate lower-educated workers.

Organizations might try to enhance their employees' SIWAL through organizational policies, such as supportive leadership, and a learning climate.

This study provides a first step toward a better understanding of what workers do to enhance their workplace learning. The study findings indicate that employees address two adaptive behaviors: adjusting job responsibilities and adjusting social interactions.

Knowledge- and communication-intensive domains still long for a better support of creativity that considers legal requirements, compliance rules and administrative tasks as well, because current systems focus either on knowledge representation or business process management. The purpose of this paper is to discuss our model of integrated knowledge and business process representation and its presentation to users.

The authors follow a design science approach in the environment of patent prosecution, which is characterized by a highly standardized, legally prescribed process and individual knowledge study. Thus, the research is based on knowledge study, BPM, graph-based knowledge representation and user interface design. The authors iteratively designed and built a model and a prototype. To evaluate the approach, the authors used analytical proof of concept, real-world test scenarios and case studies in real-world settings, where the authors conducted observations and open interviews.

The authors designed a model and implemented a prototype for evolving and storing static and dynamic aspects of knowledge. The proposed solution leverages the flexibility of a graph-based model to enable open and not only continuously developing user-centered processes but also pre-defined ones. The authors further propose a user interface concept which supports users to benefit from the richness of the model but provides sufficient guidance.

The balanced integration of the data and task perspectives distinguishes the model significantly from other approaches such as BPM or knowledge graphs. The authors further provide a sophisticated user interface design, which allows the users to effectively and efficiently use the graph-based knowledge representation in their daily study.

For decades, organizational research has primarily considered instrumental technology perceptions (ITP) – emphasizing how technology impacts the personal interests of end users themselves – to understand technology acceptance. The authors offer a complementary paradigm by introducing deontic technology perceptions (DTP), defined as the degree to which individuals believe that the technology they use is beneficial to other individuals beyond themselves (e.g. beneficial to customers).

The authors collected quantitative survey-based data from three different hospitals located in the United States. On the basis of conservation of resources theory, the authors investigated whether both DTP and ITP were associated with improved work-related well-being.

Two pilot studies (n = 161 and n = 311 nurses) substantiated our DTP conceptualization. Our primary study (n = 346 nurses) found support for the association between DTP and improved work-related well-being. Evidence for the relationship between ITP and work-related well-being was mixed and the authors did not find a statistically significant interaction between DTP and ITP.

The authors build on decades of research on technology acceptance by complementing it with our deontic perspective. Our work demonstrates that technology users pay attention and react meaningfully to how their use of technology impacts not only themselves but also external parties like patients, customers and members of the general public.