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To deal with an increasingly competitive environment, organizations are combining continuous improvement (CI) practices with digitalization to accrue their benefits on operational performance and achieve operational excellence. The purpose of this study was to identify the enablers and inhibitors of digitalization as part of CI projects.

A mixed-methods sequential explanatory research design consisting of an online survey and semi-structured interviews was used to examine how digitalization technologies have been incorporated by organizations in their CI projects.

Key enablers of digitalization were found to be leadership capabilities, strategic direction, stakeholder involvement, system compatibility, data quality and giving employees room to experiment. Knowledge of digitalization was found to affect all these enablers.

The empirical findings are based on a nonprobability sample of Dutch CI practitioners, limiting their generalizability.

The empirical findings highlight the need for organizations to adopt a structured approach to implementing digitalization as part of their CI projects, starting by ensuring that the necessary knowledge and skills are either present or accessible to the organization.

The empirical findings show that enablers of digitalization in the context of CI are strongly interlinked, and thus require a holistic approach.

Continuous improvement initiatives such as Lean in Higher Education (HE) institutes are an emerging topic for research. Under pressure to do more with less, institutes of HE are increasingly adopting the tools and methods of lean to improve their quality practices. Nevertheless, institutes of HE differ significantly from business organizations. The purpose of this study was to examine the critical success factors (CSFs) of continuous improvement in this homogeneous industry. Two other contextual factors, implementation approach and national culture, are examined.

A mixed methods approach, combining Q-methodology, online surveys and interviews, was used to investigate the CSFs of lean implementation in HE. Participants were recruited from an international network of lean practitioners in HE. Using Q-methodology, three perspectives of CSFs in HE were identified.

Lean implementation at institutes of HE is characterized by a bottom-up approach, involving mostly supporting processes. Contrary to business organizations, the role of management in the implementation of Lean in HE is limited and attention should instead be directed to employee empowerment and customer focus. The findings also showed that, at least for institutes of HE, organizational culture is more influential than national culture.

When management involvement is limited, a bottom-up implementation of lean is recommended, centered on improving university-wide supporting processes, promoting cross-departmental cooperation and overcoming the silo mentality. This approach requires an emphasis on a specific set of CSFs, namely, employee empowerment, sharing success stories and training.

The study findings enrich conceptually based lean implementation frameworks for HE that advocate a top-down implementation approach.

Modern supply chains have become increasingly vulnerable to disruptions, as evidenced by the recent COVID-19 crisis, the Suez Canal blockage and the war in Ukraine. The purpose of the study was to examine the impact of disruptions on organizations and their supply chains, and to examine which resilience principles and corresponding strategies were effective at maintaining and/or creating competitive advantage.

Anchored in contingent resource-based view theory and organizational information processing theory, the study uses an explanatory mixed-methods explanatory research design consisting of two surveys followed by semi-structured interviews to elaborate on the quantitative results.

The quantitative findings showed that data analytic capability combined with a data driven culture had a positive impact on competitive advantage through improved supply chain robustness. No similar effect for supply chain resilience on competitive advantage was found. This was explained by the qualitative findings which showed that insights enabled data analytic capability led to increased supply chain robustness by encouraging proactive measures such as safety stock and redundancies in the supply chain. However, supply chain resilience required these measures to be in place. Without them, supply chain managers were unable to act upon the insights enabled by visibility.

The empirical findings show that data analytic capability impacts supply chain robustness and resilience in different ways, especially in the context of unprecedented disruptions.

The purpose of this study is to explore how tourists use connected mobile devices such as smartphones to manage their tourist experience.

A multi-method, cross-sectional approach was used consisting of questionnaires about tourists self-reported use of connected mobile devices and recorded observations of tourists' interaction with their devices.

Respondents who reported a more intense use of their connected mobile devices also reported a heightened tourist experience. Specifically, high users reported more intense emotions and expressed the belief that using their device improved the quality of their vacation. More extensive use of connected mobile devices was also linked to the perception that waits for attractions and restaurants were shorter.

While the data and methods employed do not allow for testing of causality, the field research approach provides the benefit of high ecological validity, complementing previous studies on this topic.

Commercial service providers should explore ways to stimulate the use of devices, for instance by offering information about the attraction, or by providing an attractive setting for tourists taking photos. This contributes to shorter time perception and improved visitor evaluations.

Tourists' use of connected mobile devices to manage their tourist experience varies in terms of quality and intensity. Findings show that travelers know how to use their smartphones in a way that best suit their information and social needs.

The purpose of the present study is to examine the effect of waiting lines on customers’ decisions between using a self-service alternative and using a service employee. As self-service technologies are expensive and time-consuming to design and implement, service providers need to understand what drives customers to use them. Service operators have the most control over waiting lines and flexibility in expanding capacity, either by adding service employees or by adding self-service kiosks.

The study used online scenario-based surveys following a 4 (number of customers waiting for the self-service technology) × 4 (number of customers waiting for the service employee) design. A binary dependent variable was used to record participants’ choice of service delivery alternative.

Using logistic regression, the authors found that customers are increasingly motivated to use self-service technology as the waiting line for the service employee grows longer. This effect is influenced by perceived usefulness, anticipated quality of the self-service technology, need for interaction and technology anxiety.

This study should be replicated in a real-world setting where actual behavior, and not only intention, can be measured.

The study provides guidance on how service providers can design their service to take advantage of the motivating effect of waiting lines on usage of self-service technology.

The present study is the first to combine a scenario-based experiment with a binary dependent variable to isolate the impact of waiting lines on the choice between using a self-service technology and using a service employee. The use of the binary dependent variable overcomes the ambiguity of extrapolating from a continuous measure of intention to draw conclusions about behavior, a binary variable.