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Benchmarking is increasingly considered a useful management instrument to improve performance in healthcare. The purpose of this paper is to assess if a nationwide long-term benchmarking collaborative between operating room (OR) departments of university medical centres in the Netherlands leads to benefits in OR management and to evaluate if the initiative meets the requirements of the 4P-model.

The evaluation was based on the 4P-model (purposes, performance indicators, participating organisations, performance management system), developed in former studies. A mixed-methods design was applied, consisting of document study, observations, interviews as well as analysing OR performance data using SPSS statistics.

Collaborative benchmarking has benefits different from mainly performance improvement and identification of performance gaps. It is interesting that, since 2004, the OR benchmarking initiative still endures after already existing for ten years. A key benefit was pointed out by all respondents as “the purpose of networking”, on top of the purposes recognised in the 4P-model. The networking events were found to make it easier for participants to contact and also visit one another. Apparently, such informal contacts were helpful in spreading knowledge, sharing policy documents and initiating improvement. This benchmark largely met all key conditions of the 4P-model.

The current study has the limitations accompanied with any qualitative research and particularly related to interviewing. Qualitative research findings must be viewed within the context of the conducted case study. The experiences in this university hospital context in the Netherlands might not be transferable to other (general) hospital settings or other countries. The number of conducted interviews is restricted; nevertheless, all other data sources are extensive.

A collaborative approach in benchmarking can be effective because participants use its knowledge-sharing infrastructure which enables operational, tactical and strategic learning. Organisational learning is to the advantage of overall OR management. Benchmarking seems a useful instrument in enabling hospitals to learn from each other, to initiate performance improvements and catalyse knowledge-sharing.

The purpose of this paper is to assess how the emergent theme of Industry 4.0 is considered in the context of supply chain management (SCM) and to identify important areas for future research.

A systematic literature review of 334 studies is carried out. The papers have been analyzed by having a focus on the unit of analysis, research methods used, the key themes covered and how the debate has evolved over a period of time.

Findings of the study reveal that scholars have so far focused on principles and practices for digitized SCM, identified enablers and barriers, and considered the Industry 4.0 at various levels, particularly at the firm level. Majority of studies focus on manufacturing from the perspective of the focal firm.

Limitation of this study is its unit of analysis where only peer-reviewed journal and conference articles published in the English language have been considered.

This review identifies the important themes and areas for practitioners to consider vis-à-vis the implementation of Industry 4.0 standards in supply chains. The review provides insights into under-researched areas and highlights the need for future researchers to develop more practical models for guiding the implementation of Industry 4.0.

This paper is one among the few studies that assess the Industry 4.0 implementation in the context of SCM and provides insights and implications for further research.

The literature on change is characterized by an opposite, dichotomist view on the subject. Many authors describe only one or some of these characteristics and attribute a normative value to it. When discussing one of these attributes they will make a deviating classification in the way in which change arises. Although types and attributes of change are largely studied in the change literature, there is no general agreement on the attributes that can best describe the different types of change. The purpose of this chapter is to try to consolidate the vast literature on the types and attributes of change in order to find a more homogeneous set of attributes.

From an extensive literature research on change articles and books from 1970 onward, eight dimensions of change attributes were found that are able to describe the characteristics of a change in a dynamic way.

In order to overcome the dichotomist view, organizational change is approached not as a process changing a system but as a system by itself. Although the borders between the change system and the system to be changed are not always easy to perceive, this view seems to create a richer picture on change. A systems approach allows to define the attributes of change in a holistic way that captures the always paradoxical state change is in.

Drawing on the adapted unified theory of acceptance and use of technology (UTAUT2) framework in the bottom of pyramid (BoP) context, this paper examines the number of causal recipes that foster m-health adoption in a developing country (Bangladesh). This paper aims to propose an extended UTAUT2 model along with identifying the necessary and sufficient factors affecting the m-health adoption intention in the BoP market.

The research model was empirically tested, combining two approaches: structural equation modelling (SEM) and fuzzy-set qualitative comparative analysis (fsQCA). Data were collected from 221 housemaids and female security guards who earn around US$6 per day.

The SEM results revealed that while performance expectancy (PE), effort expectancy (EE), social influence (SI), facilitating conditions, perceived cost (PC) and technology anxiety (TA) significantly influence the behavioural intention of BoP markets, hedonic motivation is the non-significant predictor. The fsQCA revealed that the two necessary conditions, PC and SI, can be combined with TA to increase the possibility of the success of m-health adoption in the BoP market.

For practitioners concerned with fostering the m-health adoption intention in BoP markets, the present study, which points out equifinality, recommends integrating the PC and SI in several combinations with PE, EE and TA.

To the best of the authors’ knowledge, no previous studies using the UTAUT2 theory examined the m-health services in the BoP market. This study contributes empirical data to the predominantly theoretical literature by offering a deeper understanding of the inclusion of TA and PC in several combinations with other UTUAT2 factors as predictors for explaining the m-health adoption intention of BoP markets.

The purpose of this paper is to explore the impact of organisational culture (OC) on leadership styles in Nigerian universities. The study utilises the cultural dimensions theory (Hofstede’s insights) and the social exchange concept as theoretical lenses to examine the phenomena.

Using an exploratory qualitative approach, 40 interviews were conducted with senior academics and non-teaching staff working in Nigerian universities.

The findings reveal hierarchical, patriarchal, servile, and interdependent values as the underlying characteristics of organisation culture, shaping the choice of leadership styles in the management of Nigerian universities. As a result, it emerged from the study that positional, formalised exchanges, paternalism, relational approach and gendered reactions to leadership were typically adopted in university administration in this context.

The study relies on a small qualitative sample size, which makes the generalisation of findings difficult. However, the study provides a good understanding of cultural hegemony, framing leadership styles different from those of western cultures.

The findings of this study help to bridge the research gap concerning the implications of OC, and its influence on leadership behaviours in the Sub-Saharan African context. Research within this subfield in Africa is rare. Specifically, the study also enriches our understanding of cultural dimensions, informing the leadership methods adopted in higher education institutions.

Although many studies have sought to address the topic of continuance intention among Fintech customers, the reported findings are fragmented. Therefore, the present study proposes a research model that integrates the main constructs involved in Fintech continuance intention.

The current study uses a meta-analytic-based correlation analysis of effect sizes, meta-regression analysis and meta-analytic structural equation modeling, with 247 effect sizes in 69 studies involving 26,140 respondents.

The results reveal continuance intention is driven by satisfaction and trust, with ease of use and usefulness being antecedents of satisfaction and trust. The authors also found evidence to show satisfaction partially mediates the relationship between ease of use and continuance intention and that trust fully mediates the relationship between ease of use and continuance intention and partially mediates the relationship between usefulness and continuance intention. In addition, the authors found that in Western countries, with higher Human Development Index levels and greater of use of electronic payment, satisfaction has more impact on continuance intention.

From a theoretical standpoint, this meta-analytic study has implications for the literature on Fintech by offering an empirical generalization on the strength of the antecedents of Fintech continuance intentions and by testing possible moderators in a wide range of countries and studies. In other words, this study’s goal is to broaden the scope of the research. Regarding managerial implications, it is important to listen to user opinions regarding the positive and negative points of their experience with these technologies and take them into consideration when planning improvements. Additionally, the analysis shows the importance of using data from user interaction with technology, obtained, for example, through big data analytics, whereby companies can see how users behave, how much time they spend accessing certain functions and which technological features they use most, and thus seek to improve whatever is needed.

This meta-analytic study advances the understanding of Fintech continuance intentions. Using the proposed approach, it is possible to generate accurate estimates of the effect size of each analyzed antecedent as the meta-analytic method jointly evaluates the results produced by a wide variety of studies performed in different contexts, allowing more accurate conclusions to be drawn.