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This article analyzes the cognitive microfoundations, conflicting institutional logics and professional hybridization in a case characterized by conflict.

In contrast to the majority of earlier studies focusing on special health care, the study was conducted in a Finnish basic health care organization. The empirical data include 36 interviews, accounting reports, budgets, newspaper articles and meeting notes collected 2013–2018.

The use of accounting techniques in this case did not offer professionals sufficient support under conditions of conflict. The authors suggest that this perceived lack of support intensified the negative emotions toward accounting techniques. These negative emotions aggregated into incompatible professional-level institutional logics, which contributed to the lack of hybridization between such logics. The authors highlight the importance of the cognitive microfoundations, that is, the individual-level interpretations and emotional responses, in the analysis of conflicting institutional logics.

Managerial attention needs to be directed to accounting practices perceived as frustrating or threatening, a perception that can prevent the use of accounting techniques in the creation of professional hybrids. The Finnish basic health care context involves inconsistent political decision-making, multiple tasks, three institutional logics and individual interpretations and emotions in various decision-making situations.

This study develops microfoundational accounting research by illustrating how individual-level cognitive microfoundations such as dissatisfaction with budgeting, aggregate into professional-level institutional logics, and in our case, prevent professional hybridization in a basic health care setting characterized by conflict and three separate institutional logics.

The authors argue that the mainstream scholarly discourse on hybridity and accounting is thus far primarily interested in the use and effects of accounting “in” hybrid organizations. Consequently, the literature has to a lesser extent explored how accounting mediates hybrid settings (while also being mediated), and the role of disentanglements in such processes. In hybrid settings, objects are difficult to define, and measures and tools difficult to agree upon. However, the literature on hybrid accounting is inconclusive and indicates that accounting can potentially both stabilize and de-stabilize relations in a hybrid setting. The authors address the research question of how accounting emerges and manifests itself in a process of entangling and disentangling in a heterogeneous emerging hybrid setting.

The paper is based on a longitudinal qualitative case study of the implementation of social investments, a public sector calculative framework based on the logic of measuring long term and social and economic impact of prevention. Methodologically, the study was guided by actor-network theory. In total, 18 observations and 48 interviews were conducted.

The observation the authors make in their case study is that much effort was spent on both keeping things apart and tying elements together. What the authors add to the literature is an illumination of how the interplay between entanglements and disentanglements facilitated the design idea of social investments to be enacted as multiple semi-integrated and purified hybridizations. The authors describe different translation points, each representing a specific hybridization where elements were added, recombined and disentangled. Still, the translation points were not completely compartmentalized, but rather semi-integrated where associations were facilitated through active mediation, likeness and productiveness for each other.

One limitation is the single case approach. A second limitation arises from the ANT approach to hybridity.

A practical implication of this paper is that in hybrid settings, the semi-integrated character may be interpreted as a strength because it allows the mobilization of heterogenous actors. However, this may also come at the cost of governability and raises further questions of managerial practices in hybrid settings.

The paper suggests the potentially productive role of disentanglements in allowing multiple hybridizations to evolve in hybrid accounting settings.

The paper suggests the potentially productive role of disentanglements in allowing multiple stabilized hybridizations to evolve in hybrid accounting settings.

This paper aims to inform the discussion on why and how non-profit organizations can experience a hybridization process to address the criticism that would assume hybridity as an intrinsic characteristic of all organizations. Specifically, by referring to the academies of intellectuals as the non-profit setting in which investigating the emergence of hybridity takes place, this paper aims at exploring, first, to what extent this emergence could be induced by institutional conditions, and, second, which structural innovations could sustain the academies’ “motion” towards hybridity.

This paper relies on the institutional logics perspective and adopts the case study method applied to a historical context. The case under analysis is the Academy of “the Immobili”, which, in spite of its name, experienced a hybridization process in 1720 because of the decision to involve an impresario in the management of its theatre.

The findings highlight the significant role played by institutional conditions in inducing the emergence of hybridity, even in presence of internal resistance to any “motion” from the non-profit setting. Moreover, the analysis of the innovations associated with this emergence detects the intertwined action of the different decision makers involved in the hybridization process, in spite of their formal separation. These findings strengthen the conceptualization of hybridity within non-profit organizations.

Besides referring to a historical period that is still little explored in terms of hybridity within organizations, the paper focuses on an original context, i.e. academies, representing an ancient typology of cultural organizations. Therefore, the paper also provides the first insights into the hybridization process of cultural organizations from a historical perspective.

This paper aims to propose a hybrid-forecasting model for long-term tourism demand forecasting. As such, it attempts to model the tourism demand in the Philippines, which is a relatively underrepresented area in the literature, despite its tourism sector’s growing economic progress.

A hybrid support vector regression (SVR) – seasonal autoregressive integrated moving averages (SARIMA) model is proposed to model the seasonal, linear and nonlinear components of the tourism demand in a destination country. The paper further proposes the use of multiple criteria decision-making (MCDM) approaches in selecting the best forecasting model among a set of considered models. As such, a preference ranking organization method for enrichment of evaluations (PROMETHEE) II is used to rank the considered forecasting models.

The proposed hybrid SVR-SARIMA model is the best performing model among a set of considered models in this paper using performance criteria that evaluate the errors of magnitude, directionality and trend change, of a forecasting model. Moreover, the use of the MCDM approach is found to be a relevant and prospective approach in selecting the best forecasting model among a set of models.

The novelty of this paper lies in several aspects. First, this paper pioneers the demonstration of the SVR-SARIMA model’s capability in forecasting long-term tourism demand. Second, this paper is the first to have proposed and demonstrated the use of an MCDM approach for performing model selection in forecasting. Finally, this paper is one of the very few papers to provide lenses on the current status of Philippine tourism demand.

Mobile phone-based human activity recognition (HAR) consists of inferring user’s activity type from the analysis of the inertial mobile sensor data. This paper aims to mainly introduce a new classification approach called adaptive k-nearest neighbors (AKNN) for intelligent HAR using smartphone inertial sensors with a potential real-time implementation on smartphone platform.

The proposed method puts forward several modification on AKNN baseline by using kernel discriminant analysis for feature reduction and hybridizing weighted support vector machines and KNN to tackle imbalanced class data set.

Extensive experiments on a five large scale daily activity recognition data set have been performed to demonstrate the effectiveness of the method in terms of error rate, recall, precision, F1-score and computational/memory resources, with several comparison with state-of-the art methods and other hybridization modes. The results showed that the proposed method can achieve more than 50% improvement in error rate metric and up to 5.6% in F1-score. The training phase is also shown to be reduced by a factor of six compared to baseline, which provides solid assets for smartphone implementation.

This work builds a bridge to already growing work in machine learning related to learning with small data set. Besides, the availability of systems that are able to perform on flight activity recognition on smartphone will have a significant impact in the field of pervasive health care, supporting a variety of practical applications such as elderly care, ambient assisted living and remote monitoring.

The purpose of this study is to build and test an accurate offline model by using only a compact training data that can reduce the computational and memory complexity of the system. This provides grounds for developing new innovative hybridization modes in the context of daily activity recognition and smartphone-based implementation. This study demonstrates that the new AKNN is able to classify the data without any training step because it does not use any model for fitting and only uses memory resources to store the corresponding support vectors.

Strategic partnerships and construction supply chain management are claimed to improve productivity through their capabilities of managing internal and external relations between stakeholders. Thus, this study aims to present an analysis of a major Danish contractor group’s efforts to increase performances by building trust and long-term relationships across stakeholders of complex building projects with use of these managerial initiatives.

Scrutinising the social reality of the group, neo-institutional theory provides the analytical lens of an interpretivist case study drawing on empirical data (i.e. interviews and observations) collected through one year of enrolment in the group.

Findings reveals that internal organisational circumstances negatively influence the efforts to implement logics of strategic partnerships and construction supply chain management. Nevertheless, we propose organisational practitioners to obtain the perspectives of hybridisation as a fruitful concept for creating productive interactions between otherwise distinct managerial logics.

The triangulation of the interpretivist data is limited to generalisations based on only one group operating in the Danish construction industry. However, the assumption is that critical implications of hybridity address generic issues across the industry.

Organisational practitioners should experiment with hybridity of managerial mechanisms and dynamics, which potentially can influence the construction industry positively by innovating the operational performances in the entire value chain.

The inquiry contributes to the puzzle of integrating strategic partnerships and construction supply chain management by rethinking dualism of logics generating alternatives of how hybridity can increase performance by combining various aspects of managerial initiatives.

The purpose of this paper is to investigate, in general, what are the contemporary external influences that have been dominant in Malaysian universities and what are the major local traditional practices that are also found in these universities.

From the literature review, the paper proposes a conceptual framework to explore hybridity in governance and management, programs and curriculum, teaching and learning, and research and service.

Using the conceptual framework, the paper discusses the Malaysian higher education in terms of Western influence and indigenization of Western models, the background context of Islamic universities and seven possible hybridities compiled from anecdotal evidences.

The conceptual framework and possible hybridities identified in the paper serve to provide the guide to a more systemic empirical investigation to examine the characteristics of Malaysian universities emerging from the interaction between external influence and local cultures. The Malaysian case also potentially contribute in exploring the question, “Are Asian universities different from Western universities?”.

Rapid advancements in blockchain technology transform various sectors, attracting the attention of industrialists, practitioners, policymakers and academics, and profoundly affect construction businesses through smart contracts and crypto-economics. This paper explores the blockchain innovation ecosystem in construction.

Through a qualitative study of 23 diverse interviewees, the study explores how open or closed the blockchain innovation ecosystem in construction is and who its emerging orchestrators are.

The data showed that construction aims towards an open innovation blockchain ecosystem, although there are elements of hybridisation and closedness, each system pointing out to different orchestrators.

The study has implications for governments and large companies in construction, showing that open innovation initiatives need to be encouraged by policymakers through rules, regulations and government-sponsored demonstrator projects.

The data showed that there is lack of readiness for business model change to support open innovation blockchain ecosystems in construction.

This is the first study applying the open innovation theory in the construction industry and sheds light into the phenomenon of blockchain, suggesting routes for further democratisation of the technology for policymakers and practitioners.

User experience is key for measuring and improving the quality of services, especially in high personal and relation-intensive sectors, such as healthcare. However, evidence on whether and how the organizational model of healthcare service delivery can affect the patient experience is at an early stage. This study investigates the relationship between healthcare service provision models and patient experience by focusing on the nursing care delivery.

65 nurses' coordinators were involved to map the nursing models adopted in the healthcare organizations of in an Italian region, Tuscany. This dataset was merged with patient experience measures reported by 9,393 individuals discharged by the same organizations and collected through a Patient-Reported Experience Measures Observatory. The authors run a series of logistic regression models to test the relationships among variables.

Patients appreciate those characteristics of care delivery related to a specific professional nurse. Having someone who is in charge of the patient, both the reference nurse and the supervisor, makes a real difference. Purely organizational features, for instance those referring to the team working, do not significantly predict an excellent experience with healthcare services.

Different features referring to different nursing models make the difference in producing an excellent user experience with the service.

These findings can support managers and practitioners in taking decisions on the service delivery models to adopt. Instead of applying monolithic pure models, mixing features of different models into a hybrid one seems more effective in meeting users' expectations.

This is one of the first studies on the relationship between provision models of high-contact and relational-intensive services (the healthcare services) and users' experience. This research contributes to the literature on healthcare service management suggesting to acknowledge the importance of hybridization of features from different, purely theoretical service delivery models, in order to fit with providers' practice and users' expectations.

• This is one of the first studies on the relationship between provision models of nursing care and patient experience.

• Healthcare services' users appreciate service delivery characteristics identified with “be cared by,” or in other words with having a reference nurse.

• Nursing models' features that relate to the organizations and that providers tend to judge as professionalizing and evolutive, such as team working, appear not key in relation to patient experience.

• Pure models of service delivery are theoretically useful, but hybrid models can better meet users' expectations.

This is one of the first studies on the relationship between provision models of nursing care and patient experience.

Healthcare services' users appreciate service delivery characteristics identified with “be cared by,” or in other words with having a reference nurse.

Nursing models' features that relate to the organizations and that providers tend to judge as professionalizing and evolutive, such as team working, appear not key in relation to patient experience.

Pure models of service delivery are theoretically useful, but hybrid models can better meet users' expectations.

In this paper, we present a new hybrid binary version of bat and enhanced particle swarm optimization algorithm in order to solve feature selection problems. The proposed algorithm is called Hybrid Binary Bat Enhanced Particle Swarm Optimization Algorithm (HBBEPSO). In the proposed HBBEPSO algorithm, we combine the bat algorithm with its capacity for echolocation helping explore the feature space and enhanced version of the particle swarm optimization with its ability to converge to the best global solution in the search space. In order to investigate the general performance of the proposed HBBEPSO algorithm, the proposed algorithm is compared with the original optimizers and other optimizers that have been used for feature selection in the past. A set of assessment indicators are used to evaluate and compare the different optimizers over 20 standard data sets obtained from the UCI repository. Results prove the ability of the proposed HBBEPSO algorithm to search the feature space for optimal feature combinations.